Water-level fluctuations are critical in maintaining diversity of plant communities in Great Lakes wetlands. Sedge-grass meadows are especially sensitive to such fluctuations. We conducted vegetation sampling in a sedge-grass dominated Lake Michigan drowned river mouth wetland in 1995, 2002, and 2010 following high lake levels in 1986 and 1997. We also conducted photointerpretation studies in 16 years dating back to 1965 to include responses to high lake levels in 1952 and 1974. Topographic data were collected to assess their influence on areal extent of sedge-grass meadow. Dominant species in short emergent and submersed/floating plant communities changed with water availability from 1995 to extreme low lake levels in 2002 and 2010. Sedge-grass meadow was dominated by Calamagrostis canadensis and Carex stricta in all years sampled, but Importance Values differed among years partly due to sampling in newly exposed areas. Photointerpretation studies showed a significant relation between percent of wetland in sedge-grass meadow and summer lake level, as well as the number of years since an extreme high lake level. From the topographic map created, we calculated the cumulative area above each 0.2-m contour to determine the percent of wetland dewatered in select years following extreme high lake levels. When compared with percent sedge-grass meadow in those years, relative changes in both predicted land surface and sedge-grass meadow demonstrated that accuracy of lake level as a predictor of area of sedge-grass meadow is dependent on topography. Our results regarding relations of plant-community response to hydrology are applicable to other Great Lakes wetlands.
","language":"English","publisher":"Springer","doi":"10.1007/s13157-022-01534-w","usgsCitation":"Wilcox, D., Bateman, J.A., Kowalski, K., Meeker, J., and Dunn, N., 2022, Extent of sedge-grass meadow in a Lake Michigan drowned river mouth wetland dictated by topography and lake level: Wetlands, v. 42, 34, 15 p., https://doi.org/10.1007/s13157-022-01534-w.","productDescription":"34, 15 p.","ipdsId":"IP-133710","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":448142,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1007/s13157-022-01534-w","text":"External Repository"},{"id":435882,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P91W73ON","text":"USGS data release","linkHelpText":"Wetland vegetation and elevation of Arcadia Marsh, Michigan (1995-2010)"},{"id":403071,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Arcadia Marsh","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.24258995056152,\n 44.478258188004965\n ],\n [\n -86.21297836303711,\n 44.478258188004965\n ],\n [\n -86.21297836303711,\n 44.498280755008004\n ],\n [\n -86.24258995056152,\n 44.498280755008004\n ],\n [\n -86.24258995056152,\n 44.478258188004965\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","noUsgsAuthors":false,"publicationDate":"2022-04-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilcox, Douglas A.","contributorId":244846,"corporation":false,"usgs":false,"family":"Wilcox","given":"Douglas A.","affiliations":[{"id":48999,"text":"Department of Environmental Science and Ecology, The College at Brockport – State University of New York, Brockport, NY","active":true,"usgs":false}],"preferred":false,"id":845731,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bateman, John A","contributorId":292626,"corporation":false,"usgs":false,"family":"Bateman","given":"John","email":"","middleInitial":"A","affiliations":[{"id":62949,"text":"Finger Lakes Community College","active":true,"usgs":false}],"preferred":false,"id":845732,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":845733,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meeker, James E","contributorId":292627,"corporation":false,"usgs":false,"family":"Meeker","given":"James E","affiliations":[{"id":18886,"text":"Northland College","active":true,"usgs":false}],"preferred":false,"id":845734,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dunn, Nicole 0000-0002-8234-3845","orcid":"https://orcid.org/0000-0002-8234-3845","contributorId":292759,"corporation":false,"usgs":false,"family":"Dunn","given":"Nicole","email":"","affiliations":[{"id":62993,"text":"University of Wisconsin-Whitewater","active":true,"usgs":false}],"preferred":false,"id":845735,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70262184,"text":"70262184 - 2022 - Community-powered urban stream restoration: A vision for sustainable and resilient urban ecosystems","interactions":[],"lastModifiedDate":"2025-01-15T15:58:00.260552","indexId":"70262184","displayToPublicDate":"2022-04-11T09:44:45","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Community-powered urban stream restoration: A vision for sustainable and resilient urban ecosystems","docAbstract":"Urban streams can provide amenities to people living in cities, but those benefits are reduced when streams become degraded, potentially even causing harm (disease, toxic compounds, etc.). Governments and institutions invest resources to improve the values and services provided by urban streams; however, the conception, development, and implementation of such projects may not include meaningful involvement of community members and other stakeholders. Consequently, project objectives may be misaligned with community desires and needs, and projects may fail to achieve their goals. In February 2020, the 5th Symposium on Urbanization and Stream Ecology, an interdisciplinary meeting held every 3 to 5 y, met in Austin, Texas, USA, to explore new approaches to urban stream projects, including ways to maximize the full range of potential benefits by better integrating community members into project identification and decision making. The symposium included in-depth discussion about 4 nearby field case studies, participation of multidisciplinary urban stream experts from 5 continents, and input from the Austin community. Institutional barriers to community inclusion were identified and analyzed using real-world examples, both from the case studies and from the literature, which clarified disparities in power, equity, and values. Outcomes of the symposium have been aggregated into a vision that challenges the present institutional approach to urban stream management and a set of strategies to systematically address these barriers to improve restoration solutions. Integrating community members and other stakeholders throughout the urban restoration process, and a transparent decision-making process to resolve divergent objectives, can help identify appropriate goals for realizing both the ecological and social benefits of stream restoration.
","language":"English","publisher":"University of Chicago Press Journals","doi":"10.1086/721150","usgsCitation":"Scoggins, M., Booth, D., Fletcher, T., Fork, M., Gonzalez, A., Hale, R., Hawley, R., Roy, A.H., Bilger, E., Bond, N., Burns, M., Hopkins, K.G., Alessi, M.A., Marti, E., McKay, S.K., Neale, M., Paul, M.J., Rios-Touma, B., Russell, K.L., Smith, R., Wagner, S., and Wenger, S.J., 2022, Community-powered urban stream restoration: A vision for sustainable and resilient urban ecosystems: Freshwater Science, v. 41, no. 3, p. 404-419, https://doi.org/10.1086/721150.","productDescription":"16 p.","startPage":"404","endPage":"419","ipdsId":"IP-133263","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467186,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1086/721150","text":"Publisher Index 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Understanding the influence of these legacy mines on culturally and ecological important downstream ecosystems is not always straight-forward because of elevated natural levels of mineralization in mining-impacted watersheds. To test the ecological effects of historic mining in the headwaters of the upper Salmon River watershed (USA), we measured multiple community and chemical endpoints in downstream linked aquatic-terrestrial food webs. Mining inputs impacted downstream food webs through increased mercury accumulation and decreased insect biodiversity. Total mercury (THg) in seston, aquatic insect larvae, adult aquatic insects, riparian spiders, and fish at sites up to 7.6 km downstream of mining was in much higher concentrations (1.3 to 11.3-fold) and isotopically distinct compared with sites immediately upstream of mining inputs. Methylmercury (MeHg) concentrations in bull trout and riparian spiders were sufficiently high (732 – 918 and 347 – 1,140 ng MeHg g-1dw) to affect humans, birds, and piscivorous fish. Furthermore, the alpha-diversity of benthic insects was locally depressed by 12-20% within 4.3 to 5.7 km downstream of from the mine. However, because total insect biomass was not affected by mine inputs, the mass of mercury in benthic insects at a site (i.e., ng Hg m-2) was extremely elevated downstream (10 – 1,778-fold) compared with directly upstream of mining inputs. Downstream adult aquatic insect-mediated fluxes of total mercury were also high (~16 ng THg m-2d-1). Abandoned mines can have ecologically important effects on downstream communities, including reduced biodiversity and increased mercury flux to higher order consumers, including fish, birds, and humans.
","language":"English","publisher":"Wiley","doi":"10.1002/etc.5342","usgsCitation":"Kraus, J.M., Holloway, J.M., Pribil, M., Mcgee, B.N., Stricker, C.A., Rutherford, D., and Todd, A., 2022, Increased mercury and reduced insect diversity in linked stream-riparian food webs downstream of a historical mercury mine: Environmental Toxicology and Chemistry, v. 41, no. 2, p. 1696-1710, https://doi.org/10.1002/etc.5342.","productDescription":"15 p.","startPage":"1696","endPage":"1710","ipdsId":"IP-136263","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":448145,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.5342","text":"Publisher Index Page"},{"id":435883,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9P43XBX","text":"USGS data release","linkHelpText":"Mercury concentrations, isotopic composition, biomass, and taxonomy of stream and riparian organisms in the vicinity of Yellow Pine, Idaho, 2015-2016."},{"id":400281,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Cinnabar mine site, upper Salmon River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.3667,\n 44.85\n ],\n [\n -115.2333,\n 44.85\n ],\n [\n -115.2333,\n 44.9833\n ],\n [\n -115.3667,\n 44.9833\n ],\n [\n -115.3667,\n 44.85\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-04-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Kraus, Johanna M. 0000-0002-9513-4129 jkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-9513-4129","contributorId":4834,"corporation":false,"usgs":true,"family":"Kraus","given":"Johanna","email":"jkraus@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":842308,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holloway, JoAnn M. 0000-0003-3603-7668","orcid":"https://orcid.org/0000-0003-3603-7668","contributorId":201855,"corporation":false,"usgs":true,"family":"Holloway","given":"JoAnn","middleInitial":"M.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":842309,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pribil, Michael J. 0000-0003-4859-8673 mpribil@usgs.gov","orcid":"https://orcid.org/0000-0003-4859-8673","contributorId":141158,"corporation":false,"usgs":true,"family":"Pribil","given":"Michael","email":"mpribil@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":842310,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mcgee, Ben N. 0000-0001-8798-0037 bmcgee@usgs.gov","orcid":"https://orcid.org/0000-0001-8798-0037","contributorId":167273,"corporation":false,"usgs":true,"family":"Mcgee","given":"Ben","email":"bmcgee@usgs.gov","middleInitial":"N.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":842311,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":842312,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rutherford, Danny 0000-0003-1013-8006","orcid":"https://orcid.org/0000-0003-1013-8006","contributorId":201857,"corporation":false,"usgs":true,"family":"Rutherford","given":"Danny","email":"","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":842313,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Todd, Andrew S.","contributorId":212872,"corporation":false,"usgs":false,"family":"Todd","given":"Andrew S.","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":842314,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70249628,"text":"70249628 - 2022 - Soft pressure sensor for underwater sea lamprey detection","interactions":[],"lastModifiedDate":"2023-10-20T12:19:32.935059","indexId":"70249628","displayToPublicDate":"2022-04-11T07:16:14","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9956,"text":"IEEE Sensors Journal","active":true,"publicationSubtype":{"id":10}},"title":"Soft pressure sensor for underwater sea lamprey detection","docAbstract":"In this paper, an economical and effective soft pressure sensor for underwater sea lamprey detection is proposed, which consists of an array of piezoresistive elements between two layers of perpendicular copper tape electrodes, forming a passive resistor network. With multiplexers, the apparent resistance corresponding to each pixel of the sensing matrix can be measured directly, where the pixel is identified with the row and the column of the respective electrodes. However, this measured two-point resistance is not equal to the actual cell resistance for that pixel due to the crosstalk effect in the resistor network. Since the cell resistance reflects directly the pressure applied on each pixel, the relationship between the cell resistance and the measured two-point resistance is analyzed for a passive matrix of any size. More importantly, several regularized least-squares algorithms are proposed to reconstruct the cell resistance profile from the two-point resistance measurements, with enhanced robustness of the reconstruction in the presence of measurement noises and modeling errors. The proposed pressure sensor is applied to detect the suction attachment of sea lampreys, a devastating invasive species in the Great Lakes region. Experimental results demonstrate that the pressure sensor can successfully capture the rim profile of the lamprey’s sucking mouth. Moreover, the performance and computational complexity of the reconstruction algorithms with different regularization functions are compared.
","language":"English","publisher":"Institute of Electrical and Electronics Engineers","doi":"10.1109/JSEN.2022.3166693","usgsCitation":"Shi, H., Gonzalez-Afanador, I., Holbrook, C., Sepulveda, N., and Tan, X., 2022, Soft pressure sensor for underwater sea lamprey detection: IEEE Sensors Journal, v. 22, no. 10, p. 9932-9944, https://doi.org/10.1109/JSEN.2022.3166693.","productDescription":"13 p.","startPage":"9932","endPage":"9944","ipdsId":"IP-137437","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":422010,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"10","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Shi, Hongyang 0000-0003-4135-3673","orcid":"https://orcid.org/0000-0003-4135-3673","contributorId":214760,"corporation":false,"usgs":false,"family":"Shi","given":"Hongyang","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":886497,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gonzalez-Afanador, Ian","contributorId":270225,"corporation":false,"usgs":false,"family":"Gonzalez-Afanador","given":"Ian","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":886498,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holbrook, Christopher M. 0000-0001-8203-6856 cholbrook@usgs.gov","orcid":"https://orcid.org/0000-0001-8203-6856","contributorId":139681,"corporation":false,"usgs":true,"family":"Holbrook","given":"Christopher","email":"cholbrook@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":886499,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sepulveda, Nelson","contributorId":264255,"corporation":false,"usgs":false,"family":"Sepulveda","given":"Nelson","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":886500,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tan, Xiaobo 0000-0002-5542-6266","orcid":"https://orcid.org/0000-0002-5542-6266","contributorId":214765,"corporation":false,"usgs":false,"family":"Tan","given":"Xiaobo","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":886501,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70230409,"text":"70230409 - 2022 - Balancing model generality and specificity in management-focused habitat selection models for Gunnison sage-grouse","interactions":[],"lastModifiedDate":"2022-04-12T12:07:43.263687","indexId":"70230409","displayToPublicDate":"2022-04-11T07:06:10","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Balancing model generality and specificity in management-focused habitat selection models for Gunnison sage-grouse","docAbstract":"Identifying, protecting, and restoring habitats for declining wildlife populations is foundational to conservation and recovery planning for any species at risk of decline. Resource selection analysis is a key tool to assess habitat and prescribe management actions. Yet, it can be challenging to map suitable resource conditions across a wide range of ecological contexts and use the resulting models to identify effective and universal habitat improvement actions. We developed a management-centric modeling approach that sought to balance the need to evaluate the consistency of key habitat conditions and improvement actions across multiple, distinct populations, while allowing context-specific environmental variables and spatial scales to nuance selection responses that form the basis of location-specific management prescriptions. To demonstrate this approach, we developed a set of habitat selection models for Gunnison sage-grouse (Centrocercus minimus), a threatened species under the U.S. Endangered Species Act. Conservation, species recovery, and habitat management efforts are needed in six isolated satellite populations (San Miguel, Crawford, Piñon Mesa, Dove Creek, Cerro Summit-Cimarron-Sims, and Poncha Pass) where environmental conditions differ, and the already small number of birds are declining. We used multi-scale and seasonal resource selection analyses to quantify relationships between environmental conditions and sites used by animals. All models included key habitat variables often altered through management actions to assess their differential influences across models. We found important similarities and differences among satellites, indicating that, although some rules of thumb are generally well-grounded, the consideration of population-specific environmental differences could increase the efficiency of local habitat improvement actions. Sage-grouse also had diverse responses to resource conditions at different scales, indicating that regional spatial (e.g., landscape) and local patch scale can differentially influence expected habitat improvements associated with where such management actions are implemented. Although context variables such as topography cannot be manipulated, sage-grouse associations revealed information that could guide the siting of improvement actions. This approach to balancing management objectives associated with habitat assessment may benefit spatially-structured populations with different environmental contexts and species with complex habitat needs and associations.
System-scale restoration efforts within the Upper Mississippi River National Wildlife and Fish Refuge have included annual monitoring of submersed aquatic vegetation (SAV) since 1998 in four representative reaches spanning ∼ 440 river kilometers. We developed predictive models relating monitoring data (site-scale SAV abundance indices) to diver-harvested SAV biomass, used the models to back-estimate annual standing stock biomass between 1998 and 2018, and compared biomass estimates with previous abundance measures. We modeled two morphologically distinct groups of SAV with differing sampling efficiencies and estimated each separately: the first category included only wild celery Vallisneria americana, which has long, unbranched leaves and dominates lotic environments, while the second category included 17 branched morphology species (e.g., hornwort Ceratophyllum demersum and Canadian water weed Elodea canadensis) and dominates lentic environments. Wild celery accounted for approximately half of total estimated total biomass in the four reaches, combined branched species accounted for half, and invasive species (Eurasian watermilfoil Myriophyllum spicatum and curly-leaf pondweed Potamogeton crispus), a fraction of the branched species, accounted for < 1.5%. Site-scale SAV estimates ranged from 0 to 535 g·m−2 (dry mass). We observed increases in biomass in most areas between 1998 and 2009 and substantial increases (e.g., from < 10 g·m−2 to ∼ 125 g·m−2) in wild celery in extensive impounded areas between 2002 and 2007. Analyses also indicate a transitional period in 2007–2010 during which changes in biomass trajectories were evident in all reaches and included the start of a 9-y, ∼ 70% decrease in wild celery biomass in the southernmost impounded area. Biomass estimates provided new insights and illustrated scales of change that were not previously apparent using traditional metrics. The ability to estimate biomass from Long Term Resource Monitoring data improves conservation efforts through better understanding of changes in habitat and food resources for biota, improved goal setting for restoration projects and improved quantification of SAV-mediated structural effects such as anchoring of sediments and feedbacks with water quality.
Aeolian landforms are widespread in our solar system. Understanding the exact nature and processes of formation of these features are challenging tasks necessitating a strong collaboration between scientists with different skills and scientific backgrounds. This paper describes the special issue for the 5th International Planetary Dunes Workshop, which includes 15 research papers and three commentaries. Among the 18 papers included in this collection, 16 cover Martian aeolian science and two Titan aeolian science. The papers presented focus on bedform morphology and dynamics via remote sensing data, modelling, analogues studies and laboratory experiments. Here we put the main results of the papers in their appropriate scientific context and discuss potential future lines of research.
Santa Barbara County, California, USA.
To analyze a wide array of newly collected chemical, isotopic, dissolved gas, and age dating tracers in conjunction with historical data from groundwater and oil wells to determine if water and/or thermogenic gas from oil-bearing formations have mixed with groundwater in the Orcutt Oil Field and surrounding area.
Three of 15 groundwater samples had compositions indicating potential mixing with water and/or thermogenic gas from oil-bearing formations. Relevant indicators included salinity tracers (TDS, Cl, Br), NH3, DOC, enriched δ13C-DIC, δ2H-CH4, δ13C-CH4, and δ13C-C2H6 values, and trace amounts of C3-C5 gas. The potential sources/pathways for oil-bearing formation water and/or thermogenic gas in groundwater overlying and adjacent to the Orcutt Oil Field include: (1) upward movement from formations developed for oil production due to: (a) natural migration; or (b) anthropogenic activity such as injection and/or movement along wellbores; and (2) oil and gas shows in overlying non-producing oil-bearing formations. Groundwater age tracers, elevated 4He concentrations, and isotopic compositions of noble gases indicated legacy produced water ponds were not a source. This phase of the study relied on samples and data from existing infrastructure. Additional data on potential end-member compositions from new and existing wells and assessments of potential vertical head gradients and pathways between oil and groundwater zones may yield additional insight.
Understanding the relative strengths of intrinsic and extrinsic factors regulating populations is a long-standing focus of ecology and critical to advancing conservation programs for imperiled species. Conservation could benefit from an increased understanding of factors influencing vital rates (somatic growth, recruitment, survival) in small, translocated populations, which is lacking owing to difficulties in long-term monitoring of rare species. Translocations, here defined as the transfer of wild-captured individuals from source populations to new habitats, are widely used for species conservation, but outcomes are often minimally monitored, and translocations that are monitored often fail. To improve our understanding of how translocated populations respond to environmental variation, we developed and tested hypotheses related to intrinsic (density dependent) and extrinsic (introduced rainbow trout Oncorhynchus mykiss, stream flow and temperature regime) causes of vital rate variation in endangered humpback chub (Gila cypha) populations translocated to Colorado River tributaries in the Grand Canyon (GC), USA. Using biannual recapture data from translocated populations over 10 years, we tested hypotheses related to seasonal somatic growth, and recruitment and population growth rates with linear mixed-effects models and temporal symmetry mark–recapture models. We combined data from recaptures and resights of dispersed fish (both physical captures and continuously recorded antenna detections) from throughout GC to test survival hypotheses, while accounting for site fidelity, using joint live-recapture/live-resight models. While recruitment only occurred in one site, which also drove population growth (relative to survival), evidence supported hypotheses related to density dependence in growth, survival, and recruitment, and somatic growth and recruitment were further limited by introduced trout. Mixed-effects models explained between 67% and 86% of the variation in somatic growth, which showed increased growth rates with greater flood-pulse frequency during monsoon season. Monthly survival was 0.56–0.99 and 0.80–0.99 in the two populations, with lower survival during periods of higher intraspecific abundance and low flood frequency. Our results suggest translocations can contribute toward the recovery of large-river fishes, but continued suppression of invasive fishes to enhance recruitment may be required to ensure population resilience. Furthermore, we demonstrate the importance of flooding to population demographics in food-depauperate, dynamic, invaded systems.
Food web analyses offer useful insights into understanding how species interactions, trophic relationships, and energy flow underpin important demographic parameters of fish populations such as survival, growth, and reproduction. However, the vast amount of food web literature and the diversity of approaches can be a deterrent to fisheries practitioners engaged in on-the-ground research, monitoring, or restoration. Incorporation of food web perspectives into contemporary fisheries management and conservation is especially rare in riverine systems, where approaches often focus more on the influence of physical habitat and water temperature on fish populations. In this review, we first discuss the importance of food webs in the context of several common fisheries management issues, including assessing carrying capacity, evaluating the effects of habitat change, examining species introductions or extinctions, considering bioaccumulation of toxins, and predicting the effects of climate change and other anthropogenic stressors on riverine fishes. We then examine several relevant perspectives: basic food web description, metabolic models, trophic basis of production, mass-abundance network approaches, ecological stoichiometry, and mathematical modeling. Finally, we highlight several existing and emerging methodologies including diet and prey surveys, eDNA, stable isotopes, fatty acids, and community and network analysis. Although our emphasis and most examples are focused on salmonids in riverine environments, the concepts are easily generalizable to other freshwater fish taxa and ecosystems.
","language":"English","publisher":"Wiley","doi":"10.1002/wat2.1590","usgsCitation":"Naman, S.M., White, S.M., Bellmore, J.R., McHugh, P.A., Kaylor, M.J., Baxter, C., Danehy, R.J., Naiman, R., and Puls, A.L., 2022, Food web perspectives and methods for riverine fish conservation: Wiley Interdisciplinary Reviews (WIREs): Water, v. 9, no. 4, e1590, 21 p., https://doi.org/10.1002/wat2.1590.","productDescription":"e1590, 21 p.","ipdsId":"IP-134531","costCenters":[{"id":5079,"text":"Pacific Regional Director's Office","active":true,"usgs":true}],"links":[{"id":448168,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wat2.1590","text":"Publisher Index Page"},{"id":413654,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-04-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Naman, Sean M.","contributorId":302860,"corporation":false,"usgs":false,"family":"Naman","given":"Sean","email":"","middleInitial":"M.","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":865646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Seth M.","contributorId":302862,"corporation":false,"usgs":false,"family":"White","given":"Seth","email":"","middleInitial":"M.","affiliations":[{"id":13314,"text":"Columbia River Inter-Tribal Fish Commission","active":true,"usgs":false}],"preferred":false,"id":865647,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bellmore, J. Ryan","contributorId":271034,"corporation":false,"usgs":false,"family":"Bellmore","given":"J.","email":"","middleInitial":"Ryan","affiliations":[{"id":56260,"text":"U.S. Forest Service, Pacific Northwest Research Station, 11175 Auke Lake Way, Juneau, Alaska, 99801","active":true,"usgs":false}],"preferred":false,"id":865648,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McHugh, Peter A.","contributorId":302865,"corporation":false,"usgs":false,"family":"McHugh","given":"Peter","email":"","middleInitial":"A.","affiliations":[{"id":65566,"text":"Eco Logical Research / Utah State University","active":true,"usgs":false}],"preferred":false,"id":865649,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kaylor, Matthew J.","contributorId":302867,"corporation":false,"usgs":false,"family":"Kaylor","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":865650,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Baxter, Colden V.","contributorId":272243,"corporation":false,"usgs":false,"family":"Baxter","given":"Colden V.","affiliations":[{"id":56375,"text":"isu","active":true,"usgs":false}],"preferred":false,"id":865651,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Danehy, Robert J.","contributorId":302868,"corporation":false,"usgs":false,"family":"Danehy","given":"Robert","email":"","middleInitial":"J.","affiliations":[{"id":39532,"text":"Catchment Aquatic Ecology","active":true,"usgs":false}],"preferred":false,"id":865652,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Naiman, Robert J.","contributorId":302869,"corporation":false,"usgs":false,"family":"Naiman","given":"Robert J.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":865653,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Puls, Amy L. 0000-0002-2686-4187 apuls@usgs.gov","orcid":"https://orcid.org/0000-0002-2686-4187","contributorId":204734,"corporation":false,"usgs":true,"family":"Puls","given":"Amy","email":"apuls@usgs.gov","middleInitial":"L.","affiliations":[{"id":5077,"text":"Northwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":865654,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70230445,"text":"70230445 - 2022 - Decline in biological soil crust N-fixing lichens linked to increasing summertime temperatures","interactions":[],"lastModifiedDate":"2022-04-13T11:39:41.160794","indexId":"70230445","displayToPublicDate":"2022-04-11T06:38:09","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10548,"text":"Proceedings of the National Academies of Science (PNAS)","active":true,"publicationSubtype":{"id":10}},"title":"Decline in biological soil crust N-fixing lichens linked to increasing summertime temperatures","docAbstract":"Panfish support popular, socioeconomically valuable fisheries across the United States. Whereas Bluegill Lepomis macrochirus and Black Crappie Pomoxis nigromaculatus receive considerable research attention, Redear Sunfish L. microlophus are seldom studied despite their wide distribution, large size, socioeconomic contributions, and invasion potential in parts of their introduced range. We evaluated Redear Sunfish occurrence, density, relative abundance, growth, and size structure in 60 Florida lakes with varied surface area (2–12,412 ha), trophic state (oligotrophic to hypereutrophic), and macrophyte abundance (0.3–100% of lake volume inhabited), a range of environmental conditions over which Redear Sunfish populations have scarcely been investigated. Lake surface area, chlorophyll-a concentration, and macrophyte abundance explained 98% of variation in Redear Sunfish occurrence. Redear Sunfish density increased asymptotically with calcium concentration, whereas relative abundance (electrofishing fish/h) peaked at intermediate surface area (50–100 ha) and chlorophyll a (20 μg/L). Mean length at age 3 declined with increasing macrophyte abundance and was parabolically related to Redear Sunfish density, peaking at approximately 450 fish/ha. The proportional size distribution (PSD) and PSD of preferred-length fish were also negatively related to macrophyte abundance, and PSD declined with increasing Redear Sunfish density. Our results suggest that Redear Sunfish fisheries with abundant individuals of quality size (≥180 mm) require large (>100 ha), fertile (>20 μg/L chlorophyll a) lakes with calcium concentrations >5 mg/L, moderate macrophyte abundance (0–25% of lake volume inhabited), and Redear Sunfish densities between 200 and 700 fish/ha. Our modeling approach can help managers predict Redear Sunfish occurrence, density, relative abundance, growth, and size structure based on a suite of abiotic and biotic variables.
","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10764","usgsCitation":"Carlson, A.K., and Hoyer, M.V., 2022, Redear Sunfish occurrence, abundance, growth, and size structure as related to abiotic and biotic factors in Florida lakes: North American Journal of Fisheries Management, v. 42, no. 3, p. 775-786, https://doi.org/10.1002/nafm.10764.","productDescription":"12 p.","startPage":"775","endPage":"786","ipdsId":"IP-135635","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":433379,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.70013237375854,\n 28.198847354165324\n ],\n [\n -80.6003025336234,\n 28.36179742477323\n ],\n [\n -81.65425516588003,\n 30.32529189688597\n ],\n [\n -84.74358003616788,\n 30.651101463947313\n ],\n [\n -85.62048476991477,\n 30.913740760414328\n ],\n [\n -85.5963907279543,\n 30.366938990076108\n ],\n [\n -83.93909706361069,\n 30.20020989470504\n ],\n [\n -82.97367274266776,\n 29.41142780425882\n ],\n [\n -82.5311858571122,\n 28.764572626209215\n ],\n [\n -82.70013237375854,\n 28.198847354165324\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"42","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-04-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Carlson, Andrew Kenneth 0000-0002-6681-0853","orcid":"https://orcid.org/0000-0002-6681-0853","contributorId":340581,"corporation":false,"usgs":true,"family":"Carlson","given":"Andrew","email":"","middleInitial":"Kenneth","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908642,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoyer, Mark V.","contributorId":340952,"corporation":false,"usgs":false,"family":"Hoyer","given":"Mark","email":"","middleInitial":"V.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":908643,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70237059,"text":"70237059 - 2022 - Hyperspectral remote sensing of white mica: A review of imaging and point-based spectrometer studies for mineral resources, with spectrometer design considerations","interactions":[],"lastModifiedDate":"2022-09-28T15:46:20.818247","indexId":"70237059","displayToPublicDate":"2022-04-09T10:41:15","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Hyperspectral remote sensing of white mica: A review of imaging and point-based spectrometer studies for mineral resources, with spectrometer design considerations","docAbstract":"Over the past ~30 years, hyperspectral remote sensing of chemical variations in white mica have proven to be useful for ore deposit studies in a range of deposit types. To better understand mineral deposits and to guide spectrometer design, this contribution reviews relevant papers from the fields of remote sensing, spectroscopy, and geology that have utilized spectral changes caused by chemical variation in white micas. This contribution reviews spectral studies conducted at the following types of mineral deposits: base metal sulfide, epithermal, porphyry, sedimentary rock hosted gold deposits, orogenic gold, iron oxide copper gold, and unconformity-related uranium. The structure, chemical composition, and spectral features of white micas, in this contribution defined as muscovite, paragonite, celadonite, phengite, illite, and sericite, are given. Reviewed laboratory spectral studies determined that shifts in the position of the white mica 2200 nm combination feature of 1 nm correspond to a change in Aloct content of approximately ±1.05%. Many of the reviewed spectral studies indicated that a shift in the position of the white mica 2200 nm combination feature of 1 nm was geologically significant.
A sensitivity analysis of spectrometer characteristics; bandpass, sampling interval, and channel position, is conducted using spectra of 19 white micas with deep absorption features to determine minimum characteristics required to accurately measure a shift in the position of the white mica 2200 nm combination feature. It was determined that a sampling interval < 16.3 nm and bandpass <17.5 nm are needed to achieve a root mean square error (RMSE) of 2 nm, whereas a sampling interval < 8.8 nm and bandpass <9.8 nm are needed to achieve a RMSE of 1 nm. For comparison, commonly used imaging spectrometers HyMap, AVIRIS-Classic, SpecTIR®'s AisaFENIX 1K, and HySpextm SWIR 384 have 2.1, 1.2, 0.96, and 0.95 nm RMSE in determining the position of the 2200 nm white mica combination feature, respectively.
An additional sensitivity analysis is conducted to determine the effect of signal to noise ratio (SNR) on the RMSE of the position of the white mica 2200 nm combination feature, using spectra of 18 white micas with deep absorption features. For a spectrometer with sampling interval and bandpass of 1 nm, we estimate that RMSEs of 1 and 1.5 nm are achievable with spectra having a minimum SNR of approximately 246 and 64, respectively. For a spectrometer with sampling interval and bandpass of 5 nm, we estimate that RMSEs of 1 and 1.5 nm are attainable with spectra having a minimum SNR of approximately 431 and 84, respectively. When using a spectrometer with a sampling interval 8.8 nm and a bandpass of 9.8 nm, a RMSE of 1 is only achievable with convolved, noiseless reference spectra. For the 8.8_9.8 nm spectrometer, spectra with SNR of 250 and 100 result in RMSE of 1.1 and 1.3, respectively. Therefore, fine spectral resolution characteristics achieve RMSEs better than 1 nm for high SNR spectra while spectrometers with coarse spectral resolution have larger RMSE, perform well with noisy data, and are useful for white mica studies if RMSE of 1.1 to 1.5 nm is acceptable.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2022.113000","usgsCitation":"Meyer, J.M., Holley, E.A., and Kokaly, R.F., 2022, Hyperspectral remote sensing of white mica: A review of imaging and point-based spectrometer studies for mineral resources, with spectrometer design considerations: Remote Sensing of Environment, v. 275, 113000, 18 p., https://doi.org/10.1016/j.rse.2022.113000.","productDescription":"113000, 18 p.","ipdsId":"IP-133226","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":448175,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2022.113000","text":"Publisher Index Page"},{"id":435886,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92VF8HP","text":"USGS data release","linkHelpText":"HySpex by NEO VNIR-1800 and SWIR-384 imaging spectrometer radiance and reflectance data, with associated ASD FieldSpec® NG calibration data, collected at Cripple Creek Victor mine, Cripple Creek, Colorado, 2017"},{"id":407517,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"275","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Meyer, John Michael 0000-0003-2810-9414","orcid":"https://orcid.org/0000-0003-2810-9414","contributorId":297062,"corporation":false,"usgs":true,"family":"Meyer","given":"John","email":"","middleInitial":"Michael","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":853194,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holley, Elizabeth A. 0000-0003-2504-4555","orcid":"https://orcid.org/0000-0003-2504-4555","contributorId":265154,"corporation":false,"usgs":false,"family":"Holley","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":853195,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kokaly, Raymond F. 0000-0003-0276-7101","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":205165,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond","email":"","middleInitial":"F.","affiliations":[{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":853196,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70255174,"text":"70255174 - 2022 - Optimizing management of invasions in an uncertain world using dynamic spatial models","interactions":[],"lastModifiedDate":"2024-06-13T15:11:21.379743","indexId":"70255174","displayToPublicDate":"2022-04-09T10:01:04","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Optimizing management of invasions in an uncertain world using dynamic spatial models","docAbstract":"Dispersal drives invasion dynamics of nonnative species and pathogens. Applying knowledge of dispersal to optimize the management of invasions can mean the difference between a failed and a successful control program and dramatically improve the return on investment of control efforts. A common approach to identifying optimal management solutions for invasions is to optimize dynamic spatial models that incorporate dispersal. Optimizing these spatial models can be very challenging because the interaction of time, space, and uncertainty rapidly amplifies the number of dimensions being considered. Addressing such problems requires advances in and the integration of techniques from multiple fields, including ecology, decision analysis, bioeconomics, natural resource management, and optimization. By synthesizing recent advances from these diverse fields, we provide a workflow for applying ecological theory to advance optimal management science and highlight priorities for optimizing the control of invasions. One of the striking gaps we identify is the extremely limited consideration of dispersal uncertainty in optimal management frameworks, even though dispersal estimates are highly uncertain and greatly influence invasion outcomes. In addition, optimization frameworks rarely consider multiple types of uncertainty (we describe five major types) and their interrelationships. Thus, feedbacks from management or other sources that could magnify uncertainty in dispersal are rarely considered. Incorporating uncertainty is crucial for improving transparency in decision risks and identifying optimal management strategies. We discuss gaps and solutions to the challenges of optimization using dynamic spatial models to increase the practical application of these important tools and improve the consistency and robustness of management recommendations for invasions.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2628","usgsCitation":"Pepin, K., Davis, A., Epanchin-Niell, R.S., Gormley, A.M., Moore, J., Smyser, T.J., Shaffer, H., Kendall, W.L., Shea, K., Runge, M.C., and McKee, S., 2022, Optimizing management of invasions in an uncertain world using dynamic spatial models: Ecological Applications, v. 32, no. 6, e2628, 21 p., https://doi.org/10.1002/eap.2628.","productDescription":"e2628, 21 p.","ipdsId":"IP-119939","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":430139,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"6","noUsgsAuthors":false,"publicationDate":"2022-05-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Pepin, Kim M. 0000-0002-9931-8312","orcid":"https://orcid.org/0000-0002-9931-8312","contributorId":187441,"corporation":false,"usgs":false,"family":"Pepin","given":"Kim M.","affiliations":[],"preferred":false,"id":903662,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Amy J.","contributorId":279408,"corporation":false,"usgs":false,"family":"Davis","given":"Amy J.","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":903663,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Epanchin-Niell, Rebecca S.","contributorId":175364,"corporation":false,"usgs":false,"family":"Epanchin-Niell","given":"Rebecca","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":903664,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gormley, Andrew M.","contributorId":338892,"corporation":false,"usgs":false,"family":"Gormley","given":"Andrew","email":"","middleInitial":"M.","affiliations":[{"id":81209,"text":"Manaaki Whenua – Landcare Research","active":true,"usgs":false}],"preferred":false,"id":903665,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moore, Joslin L.","contributorId":257914,"corporation":false,"usgs":false,"family":"Moore","given":"Joslin L.","affiliations":[{"id":27278,"text":"Monash University","active":true,"usgs":false}],"preferred":false,"id":903666,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smyser, Timothy J.","contributorId":279407,"corporation":false,"usgs":false,"family":"Smyser","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":903667,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shaffer, H. Bradley","contributorId":71051,"corporation":false,"usgs":true,"family":"Shaffer","given":"H. Bradley","affiliations":[],"preferred":false,"id":903668,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kendall, William L. 0000-0003-0084-9891","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":204844,"corporation":false,"usgs":true,"family":"Kendall","given":"William","email":"","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903661,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shea, Katriona 0000-0002-7607-8248","orcid":"https://orcid.org/0000-0002-7607-8248","contributorId":193646,"corporation":false,"usgs":false,"family":"Shea","given":"Katriona","email":"","affiliations":[],"preferred":false,"id":903669,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":903670,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McKee, Sophie","contributorId":279410,"corporation":false,"usgs":false,"family":"McKee","given":"Sophie","email":"","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":903671,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70241617,"text":"70241617 - 2022 - Fire-driven vegetation type conversion in Southern California","interactions":[],"lastModifiedDate":"2023-03-24T11:52:34.429916","indexId":"70241617","displayToPublicDate":"2022-04-09T06:47:44","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Fire-driven vegetation type conversion in Southern California","docAbstract":"One consequence of global change causing widespread concern is the possibility of ecosystem conversions from one type to another. A classic example of this is vegetation type conversion (VTC) from native woody shrublands to invasive annual grasslands in the biodiversity hotspot of Southern California. Although the significance of this problem is well recognized, understanding where, how much, and why this change is occurring remains elusive owing to differences in results from studies conducted using different methods, spatial extents, and scales. Disagreement has arisen particularly over the relative importance of short-interval fires in driving these changes. Chronosequence approaches that use space for time to estimate changes have produced different results than studies of changes at a site over time. Here we calculated the percentage woody and herbaceous cover across Southern California using air photos from ~1950 to 2019. We assessed the extent of woody cover change and the relative importance of fire history, topography, soil moisture, and distance to human infrastructure in explaining change across a hierarchy of spatial extents and regions. We found substantial net decline in woody cover and expansion of herbaceous vegetation across all regions, but the most dramatic changes occurred in the northern interior and southern coastal areas. Variables related to frequent, short-interval fire were consistently top ranked as the explanation for shrub to grassland type conversion, but low soil moisture and topographic complexity were also strong correlates. Despite the consistent importance of fire, there was substantial geographical variation in the relative importance of drivers, and these differences resulted in different mapped predictions of VTC. This geographical variation is important to recognize for management decision-making and, in addition to differences in methodological design, may also partly explain differences in previous study results. The overwhelming importance of short-interval fire has management implications. It suggests that actions should be directed away from imposing fires to preventing fires. Prevention can be controlled through management actions that limit ignitions, fire spread, and the damage sustained in areas that do burn. This study also demonstrates significant potential for changing fire regimes to drive large-scale, abrupt ecological change.
Peer review is the formal means by which the scientific community assesses the originality, reproducibility, validity, and quality of a research study (Bakker and Traniello 2019). As such, peer review assures nonexperts that they can trust a study's findings (Jamieson et al. 2019). Despite the critical importance of peer review, graduate students, postdocs, and other early career researchers (ECRs) have limited resources for learning about this process (but see Nicholas and Gordon 2011 and Nature Communications 2021). A recent survey found that most reviewers have not received formal training on peer review and that reviewers of all career stages (77%), especially ECRs (89%), desire further training (Warne 2016). This reflects a need for guidance regarding when and how to engage in peer review, best practices for conducting a peer review, and how editors weigh peer reviews in their editorial decisions.
In an effort to help new reviewers navigate this process, we (the Raelyn Cole Editorial Fellows) hosted an Association for the Sciences of Limnology and Oceanography (ASLO) webinar on peer review in September of 2021 (recording available: https://www.youtube.com/watch?v=utntl1VGy5g). The webinar had 329 registrants, including 198 students or postdocs, underscoring the desire for peer review resources. The webinar content was largely based on a survey of the associate editors (AEs) of ASLO's three peer-reviewed journals (n = 25 respondents), consisting of five open-ended questions about peer review. Here, we use insights from our survey and webinar to describe how ECRs can join the reviewer pool, provide guidance for writing a useful and time-efficient review, and discuss challenges and opportunities in the evolving landscape of peer review.
","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lol2.10254","usgsCitation":"Gradoville, M.R., and Deemer, B., 2022, Early career researchers have questions about peer review—we asked the ASLO editors for answers: Limnology and Oceanography Letters, v. 7, no. 3, p. 185-188, https://doi.org/10.1002/lol2.10254.","productDescription":"4 p.","startPage":"185","endPage":"188","ipdsId":"IP-142526","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":448183,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lol2.10254","text":"Publisher Index Page"},{"id":402546,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-04-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Gradoville, Mary R.","contributorId":292580,"corporation":false,"usgs":false,"family":"Gradoville","given":"Mary","email":"","middleInitial":"R.","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":845243,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deemer, Bridget R. 0000-0002-5845-1002 bdeemer@usgs.gov","orcid":"https://orcid.org/0000-0002-5845-1002","contributorId":198160,"corporation":false,"usgs":true,"family":"Deemer","given":"Bridget","email":"bdeemer@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":845244,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70262380,"text":"70262380 - 2022 - Environmental drivers of biseasonal anthrax outbreak dynamics in two multihost savanna systems","interactions":[],"lastModifiedDate":"2025-01-23T16:47:51.012419","indexId":"70262380","displayToPublicDate":"2022-04-08T10:41:25","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1459,"text":"Ecological Monographs","active":true,"publicationSubtype":{"id":10}},"title":"Environmental drivers of biseasonal anthrax outbreak dynamics in two multihost savanna systems","docAbstract":"Environmental factors are common forces driving infectious disease dynamics. We compared interannual and seasonal patterns of anthrax infections in two multihost systems in southern Africa: Etosha National Park, Namibia, and Kruger National Park, South Africa. Using several decades of mortality data from each system, we assessed possible transmission mechanisms behind anthrax dynamics, examining (1) within- and between-species temporal case correlations and (2) associations between anthrax mortalities and environmental factors, specifically rainfall and the Normalized Difference Vegetation Index (NDVI), with empirical dynamic modeling. Anthrax cases in Kruger had wide interannual variation in case numbers, and large outbreaks seemed to follow a roughly decadal cycle. In contrast, outbreaks in Etosha were smaller in magnitude and occurred annually. In Etosha, the host species commonly affected remained consistent over several decades, although plains zebra (Equus quagga) became relatively more dominant. In Kruger, turnover of the main host species occurred after the 1990s, where the previously dominant host species, greater kudu (Tragelaphus strepsiceros), was replaced by impala (Aepyceros melampus). In both parks, anthrax infections showed two seasonal peaks, with each species having only one peak in a year. Zebra, springbok (Antidorcas marsupialis), wildebeest (Connochaetes taurinus), and impala cases peaked in wet seasons, while elephant (Loxodonta africana), kudu, and buffalo (Syncerus caffer) cases peaked in dry seasons. For common host species shared between the two parks, anthrax mortalities peaked in the same season in both systems. Among host species with cases peaking in the same season, anthrax mortalities were mostly synchronized, which implies similar transmission mechanisms or shared sources of exposure. Between seasons, outbreaks in one species may contribute to more cases in another species in the following season. Higher vegetation greenness was associated with more zebra and springbok anthrax mortalities in Etosha but fewer elephant cases in Kruger. These results suggest that host behavioral responses to changing environmental conditions may affect anthrax transmission risk, with differences in transmission mechanisms leading to multihost biseasonal outbreaks. This study reveals the dynamics and potential environmental drivers of anthrax in two savanna systems, providing a better understanding of factors driving biseasonal dynamics and outbreak variation among locations.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecm.1526","usgsCitation":"Yen-Hua Huang, Kyrre Kausrud, Ayesha Hassim, Sunday O. Ochai, van Schalkwyk, O., Edgar H. Dekker, Alexander Buyantuev, Claudine C. Cloete, J. Werner Kilian, Mfune, J.K., Kamath, P., van Heerden, H., and Turner, W.C., 2022, Environmental drivers of biseasonal anthrax outbreak dynamics in two multihost savanna systems: Ecological Monographs, v. 92, no. 4, e1526, 24 p., https://doi.org/10.1002/ecm.1526.","productDescription":"e1526, 24 p.","ipdsId":"IP-132491","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481090,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/ecm.1526","text":"External Repository"},{"id":481006,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Namibia, South Africa","otherGeospatial":"Etosha National Park, Kruger National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 13.99697075011565,\n -17.9704803255822\n ],\n [\n 14.042362443293712,\n -19.592355004499595\n ],\n [\n 17.575676967960106,\n -19.575250462094317\n ],\n [\n 17.575676967960106,\n -17.953206628620634\n ],\n [\n 13.99697075011565,\n -17.9704803255822\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 30.65264945923775,\n -22.32856930947861\n ],\n [\n 31.245229473428566,\n -25.55857896070789\n ],\n [\n 32.07283709158796,\n -25.569715149900304\n ],\n [\n 31.896147080990332,\n -23.97674400909702\n ],\n [\n 31.31940421620908,\n -22.35940535120622\n ],\n [\n 30.65264945923775,\n -22.32856930947861\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"92","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-05-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Yen-Hua Huang","contributorId":349084,"corporation":false,"usgs":false,"family":"Yen-Hua Huang","affiliations":[{"id":83418,"text":"Wisconsin Cooperative Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":923989,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kyrre Kausrud","contributorId":349085,"corporation":false,"usgs":false,"family":"Kyrre Kausrud","affiliations":[{"id":61713,"text":"Norwegian Veterinary Institute","active":true,"usgs":false}],"preferred":false,"id":923990,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ayesha Hassim","contributorId":349086,"corporation":false,"usgs":false,"family":"Ayesha Hassim","affiliations":[{"id":83425,"text":"Department of Veterinary Tropical Diseases","active":true,"usgs":false}],"preferred":false,"id":923991,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sunday O. Ochai","contributorId":349088,"corporation":false,"usgs":false,"family":"Sunday O. Ochai","affiliations":[{"id":61713,"text":"Norwegian Veterinary Institute","active":true,"usgs":false}],"preferred":false,"id":923992,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"van Schalkwyk, O. Louis","contributorId":349092,"corporation":false,"usgs":false,"family":"van Schalkwyk","given":"O. Louis","affiliations":[{"id":83426,"text":"Department of Migration","active":true,"usgs":false}],"preferred":false,"id":923993,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Edgar H. Dekker","contributorId":349093,"corporation":false,"usgs":false,"family":"Edgar H. Dekker","affiliations":[{"id":83429,"text":"Office of the State Veterinarian","active":true,"usgs":false}],"preferred":false,"id":923994,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Alexander Buyantuev","contributorId":349094,"corporation":false,"usgs":false,"family":"Alexander Buyantuev","affiliations":[{"id":83430,"text":"Department of Geography and Planning","active":true,"usgs":false}],"preferred":false,"id":923995,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Claudine C. Cloete","contributorId":349095,"corporation":false,"usgs":false,"family":"Claudine C. Cloete","affiliations":[{"id":61496,"text":"Etosha Ecological Institute","active":true,"usgs":false}],"preferred":false,"id":923996,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"J. Werner Kilian","contributorId":349096,"corporation":false,"usgs":false,"family":"J. Werner Kilian","affiliations":[{"id":61496,"text":"Etosha Ecological Institute","active":true,"usgs":false}],"preferred":false,"id":923997,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mfune, John K.E.","contributorId":287158,"corporation":false,"usgs":false,"family":"Mfune","given":"John","email":"","middleInitial":"K.E.","affiliations":[{"id":39588,"text":"University of Namibia","active":true,"usgs":false}],"preferred":false,"id":924921,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kamath, Pauline L.","contributorId":287148,"corporation":false,"usgs":false,"family":"Kamath","given":"Pauline L.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":924922,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"van Heerden, Henriette","contributorId":343077,"corporation":false,"usgs":false,"family":"van Heerden","given":"Henriette","affiliations":[{"id":48053,"text":"University of Pretoria","active":true,"usgs":false}],"preferred":false,"id":924923,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Turner, Wendy Christine 0000-0002-0302-1646","orcid":"https://orcid.org/0000-0002-0302-1646","contributorId":287053,"corporation":false,"usgs":true,"family":"Turner","given":"Wendy","email":"","middleInitial":"Christine","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":923988,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70255200,"text":"70255200 - 2022 - Taming the temperature: Sagebrush songbirds modulate microclimate via nest-site selection","interactions":[],"lastModifiedDate":"2024-06-14T13:38:23.977482","indexId":"70255200","displayToPublicDate":"2022-04-08T08:33:41","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10109,"text":"Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Taming the temperature: Sagebrush songbirds modulate microclimate via nest-site selection","docAbstract":"Understanding species’ responses to temperature via behavior, and the factors affecting the extent of behavioral responses, is a critical and timely endeavor given the rapid pace at which the climate is changing. The young of altricial songbirds are particularly sensitive to temperature, and parents may modulate temperatures at nests via selection of nest sites, albeit to a largely unknown extent. We examined whether sagebrush-obligate songbirds, that reproduce within an open ecosystem with wide temperature fluctuations and span a range of body sizes, selected their nest sites on the basis of temperature. We further investigated whether nest predation risk and ambient conditions modulated temperature-based choices. We placed temperature loggers at nest sites and in unused but available nest niches and nest shrubs along a known predation-risk gradient and used nearby weather stations to determine ambient temperatures. The two smaller-bodied birds, Brewer’s Sparrow (Spizella breweri) and Sagebrush Sparrow (Artemisiospiza nevadensis), selected nest shrubs and niches that were warmer and less variable relative to unused sites whereas the larger bodied species, Sage Thrashers (Oreoscoptes montanus), did not. Brewer’s Sparrows and Sage Thrashers dampened selection for warmer nest sites when temperatures experienced during the nest-site prospecting period were warmer. None of the three species altered nest-site selection with respect to temperature in response to ambient temperature variability or our index of nest predation risk. The microhabitat characteristics that most influenced temperatures at nests varied across species. Our results suggest that songbirds can modulate temperatures at nests to some extent, and such responses can vary depending on the conditions experienced prior to nest initiation. Responses also varied across species, likely reflecting different physiological tolerances. The extent to which breeding birds will be able to continue to proximately influence temperature via nest-site choices likely will depend on the extent and rate of future climatic shifts.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/ornithology/ukac004","usgsCitation":"Scherr, T.M., and Chalfoun, A.D., 2022, Taming the temperature: Sagebrush songbirds modulate microclimate via nest-site selection: Ornithology, v. 139, no. 2, ukac004, 13 p., https://doi.org/10.1093/ornithology/ukac004.","productDescription":"ukac004, 13 p.","ipdsId":"IP-133324","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":448185,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ornithology/ukac004","text":"Publisher Index Page"},{"id":430202,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"139","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-02-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Scherr, Tayler M.","contributorId":338978,"corporation":false,"usgs":false,"family":"Scherr","given":"Tayler","email":"","middleInitial":"M.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":903718,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chalfoun, Anna D. 0000-0002-0219-6006 achalfoun@usgs.gov","orcid":"https://orcid.org/0000-0002-0219-6006","contributorId":197589,"corporation":false,"usgs":true,"family":"Chalfoun","given":"Anna","email":"achalfoun@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":903719,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70231611,"text":"70231611 - 2022 - Adaptation strategies and approaches for managing fire in a changing climate","interactions":[],"lastModifiedDate":"2022-05-17T12:28:08.785742","indexId":"70231611","displayToPublicDate":"2022-04-08T07:23:10","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5811,"text":"Climate","active":true,"publicationSubtype":{"id":10}},"title":"Adaptation strategies and approaches for managing fire in a changing climate","docAbstract":"The eruptive activity of Kīlauea Volcano (Hawai‘i) in the past 2500 years has alternated between centuries-long periods dominated either by explosive or effusive eruptions. The onset of explosive periods appears to be marked by caldera collapse events at the volcano's summit accompanied by draining of Kīlauea's magmatic plumbing system. Here we leverage >1800 olivine forsterite (Fo) contents, >900 glass MgO contents, and estimated magma supply rates from the past six centuries to describe the relationships between summit collapse and the composition of erupted material. On a first order basis, the major element chemistry of the centuries-long eruptive periods largely originates from fundamental differences between fractional crystallization of shallowly stored magmas during high-supply effusive-dominated periods versus little evolution of mafic recharge magmas during low-supply explosive-dominated periods. The modern effusive period (1820s-present) is dominated by relatively evolved olivine forsterite contents (Fo81–82) for Kīlauea, which is interpreted to reflect a buffered crustal reservoir system in which shallow storage and fractional crystallization control the composition of magmas. In contrast, olivine crystals from the explosive Keanakāko‘i Tephra (1500 - early 1800s C.E.) are dominated by higher olivine forsterite contents (Fo89) which are interpreted to reflect more primitive compositions, are correlated with glass MgO compositions extending to high values (e.g.,11.0 wt%), and show signs of magma mixing (zoned olivine, bimodal Fo populations). These signatures reflect a disrupted reservoir system in which high-MgO recharge melts mix with melts left over from draining of the shallow (<5 km) magma plumbing.
Superimposed on these explosive-effusive periods are three decades- to centuries long periods of progressively evolving olivine and glass compositions. Eruptions that occur after caldera collapse in ~1500C.E. and smaller scale crater collapse events in 1790 (inferred) and 1924 have heterogeneous olivine populations dominated by ≥Fo88 and typically high MgO glasses. These compositions reflect inefficient mixing of stored and primitive recharge magmas after the disruption of the shallow plumbing system. After these collapses, olivine Fo and glass MgO subsequently evolve to <Fo82 and <7.0 wt% compositions, reflecting the recovery of the crustal plumbing system to an end-member system state characterized by efficient mixing of recharge and stored magmas that serve to buffer the shallow magma reservoirs. These evolved signatures suggest that a mature and buffered reservoir system may be a key condition for significant disruptions of volcanic plumbing systems. Plumbing system recovery is slower following large-scale caldera collapse (hundreds of years) compared to recovery following smaller crater collapse (tens of years), which may be modulated by differences in magma supply rates. Following the 2018 crater collapse olivine populations have high-Fo but glasses are low MgO, suggesting that this collapse might have disrupted shallow magma pathways but not strongly impacted the reservoir(s). Ultimately, olivine and glass major element chemistry record the impacts of caldera and smaller but significant summit crater collapse events at Kīlauea and could be used to provide a framework for better characterizing long-term volcano evolution in Hawai‘i and shield volcanoes elsewhere.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2022.107540","usgsCitation":"Lynn, K.J., and Swanson, D., 2022, Olivine and glass chemistry record cycles of plumbing system recovery after summit collapse events at Kīlauea Volcano, Hawai‘i: Journal of Volcanology and Geothermal Research (JVGR), v. 426, 107540, 10 p., https://doi.org/10.1016/j.jvolgeores.2022.107540.","productDescription":"107540, 10 p.","ipdsId":"IP-136313","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":448192,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2022.107540","text":"Publisher Index Page"},{"id":435888,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HA3PRK","text":"USGS data release","linkHelpText":"Olivine and glass analyses for select eruptions of Kilauea Volcano, Hawai'i"},{"id":398909,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.42495727539062,\n 19.23854986079743\n ],\n [\n -155.12832641601562,\n 19.23854986079743\n ],\n [\n -155.12832641601562,\n 19.540378338405777\n ],\n [\n -155.42495727539062,\n 19.540378338405777\n ],\n [\n -155.42495727539062,\n 19.23854986079743\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"426","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lynn, Kendra J. 0000-0001-7886-4376","orcid":"https://orcid.org/0000-0001-7886-4376","contributorId":290327,"corporation":false,"usgs":true,"family":"Lynn","given":"Kendra","email":"","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":840802,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swanson, Donald A. 0000-0002-1680-3591","orcid":"https://orcid.org/0000-0002-1680-3591","contributorId":229682,"corporation":false,"usgs":true,"family":"Swanson","given":"Donald A.","affiliations":[],"preferred":true,"id":840803,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70231405,"text":"70231405 - 2022 - High-resolution observations of submarine groundwater discharge reveal the fine spatial and temporal scales of nutrient exposure on a coral reef: Faga'alu, AS","interactions":[],"lastModifiedDate":"2022-08-02T14:18:07.198108","indexId":"70231405","displayToPublicDate":"2022-04-08T06:32:38","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1338,"text":"Coral Reefs","active":true,"publicationSubtype":{"id":10}},"title":"High-resolution observations of submarine groundwater discharge reveal the fine spatial and temporal scales of nutrient exposure on a coral reef: Faga'alu, AS","docAbstract":"Submarine groundwater discharge (SGD) can deliver substantial nutrient and contaminant loads to nearshore coral reefs. Correctly scaling SGD rates from a point source to a reef is generally a linear process involving simplified assumptions on the hydrogeology, bathymetry, and nearshore hydrodynamics that are essential to properly assess SGD scale and impact to individual coral heads. Here, we apply high-resolution SGD techniques to provide information at the scale of individual coral heads in Faga’alu Bay, American Samoa, where focused SGD delivers a plume of freshened and nutrient-rich water directly to the adjacent coral reef. Unoccupied Aerial System-based measurements were used to acquire remotely sensed, calibrated, high-resolution thermal infrared imagery that were coupled with traditional in-situ SGD observations. This approach permits a detailed assessment of SGD and associated nutrient loadings to individual coral heads as a function of time and enables a more realistic method to quantify SGD impact.
The U.S. Geological Survey, in cooperation with the Colorado Department of Transportation, installed and operated real-time scour monitoring instrumentation at two bridges in Colorado in 2016 and 2017 to measure streambed elevations in real-time. The instrumentation included acoustic echosounder depth sensors mounted to the bridge substructure units with rigid conduit and fittings. Although functional, the rigid mounting configuration took several days to install at each site, which limits the instrumentation to long-term deployments at previously determined sites. To address this limitation and allow for greater flexibility in bridge selection, a rapid deployment bridge scour monitoring system (RDBSMS) was developed by the U.S. Geological Survey in cooperation with the Colorado Department of Transportation. The RDBSMSs were installed at two other bridges in Colorado in 2019, which were selected by using specific scoring criteria to rank candidate bridges and the potential for high streamflow based on accumulated snowpack. A matrix was developed to rank candidate bridges based on factors including depth, foundation type, average daily traffic, detour route, and scour critical condition. Colorado Department of Transportation bridges F-05-R and P-01-G were selected as the final candidate bridges for installation and testing of the rapid deploy scour monitoring system.
Bridge F-05-R carries Colorado Highway 13 over the Colorado River near the town of Rifle, Colorado. Because of the misalignment of the pier wall with respect to the river, pier number 4 was instrumented on the left side (looking downstream) to monitor scour conditions. Bridge P-01-G carries U.S. Route 160 over the San Juan River near the Four Corners area in Colorado. Because of misalignment of the pier wall with respect to the river, pier number 4 was instrumented on the right side (looking downstream) to monitor scour conditions. The RDSMSs were installed in approximately 3 hours at each bridge.
Scour conditions at both bridges were monitored during the snowmelt runoff period in 2019 using the installed RDBSMSs. No major scour events occurred at either structure, but minor scour and fill was measured at each. Sensor performance at F-05-R was excellent, with no missing or erroneous data. Sensor performance at P-01-G was good for most of the period, with some missing and erroneous data during periods of high turbidity.
Both RDBSMSs were successfully deployed and produced reliable data, demonstrating that both the technology and the installation methods can work in two different riverine environments. Pre-installation of mounting plates would make the installation process faster at flood prone bridges. Having flood prone bridges preconfigured and several RDBSMSs ready to deploy could allow for rapid monitoring during floods such as those which occurred in 2013.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225023","collaboration":"Prepared in cooperation with the Colorado Department of Transportation","usgsCitation":"Henneberg, M.F., and Richards, R.J., 2022, Implementing a rapid deployment bridge scour monitoring system in Colorado, 2019: U.S. Geological Survey Scientific Investigations Report 2022–5023, 18 p., https://doi.org/10.3133/sir20225023.","productDescription":"Report: iv, 18 p.; Database","onlineOnly":"Y","ipdsId":"IP-125349","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":397983,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5023/sir20225023.pdf","text":"Report","size":"8.38 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022-5023"},{"id":397982,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5023/coverthb.jpg"},{"id":397986,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5023/sir20225023.xml"},{"id":397984,"rank":3,"type":{"id":9,"text":"Database"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System—","linkHelpText":"USGS water data for the Nation: U.S. Geological Survey National Water Information System database"},{"id":397985,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5023/images"},{"id":502379,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_112844.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Colorado","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.984375,\n 37.020098201368114\n ],\n [\n -103.35937499999999,\n 37.020098201368114\n ],\n [\n -103.35937499999999,\n 41.11246878918088\n ],\n [\n -108.984375,\n 41.11246878918088\n ],\n [\n -108.984375,\n 37.020098201368114\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, MS-415
Denver, CO 80225
Migration is widespread across taxonomic groups and increasingly recognized as fundamental to maintaining abundant wildlife populations and communities. Many ungulate herds migrate across the western United States to access food and avoid harsh environmental conditions. With the advent of global positioning system (GPS) collars, researchers can describe and map the year-round movements of ungulates at both large and small spatial scales. The migrations can traverse landscapes that are a mix of different jurisdictional ownership and management. Today, the landscapes migrating herds traverse are increasingly threatened by fencing, high-traffic roads, oil and gas development, and other types of permanent development. Through the use of GPS collars, a model of science-based conservation emerged in which migration corridors, stopovers, and winter ranges can be mapped in detail, thereby allowing threats and conservation opportunities to be identified and remedied. In 2018, the U.S. Geological Survey (USGS) assembled a Corridor Mapping Team (CMT) to work collaboratively with western states to map migrations of Odocoileus hemionus (mule deer), Cervus canadensis (elk), and Antilocapra americana (pronghorn). Led by the USGS Wyoming Cooperative Fish and Wildlife Research Unit, the team consists of Federal scientists, university researchers, and biologists and analysts from participating State and Tribal agencies. The first set of maps described a total of 42 migrations across 5 western states and was published in 2020 as the first volume of this report series. This second volume describes an additional 65 migrations mapped within 9 western states and select Tribal lands. As the western United States continues to grow, this report series and the associated map files released by the USGS will allow for migration maps to be used for conservation planning by a wide array of State and Federal stakeholders to reduce barriers to migration caused by fences, roads, and other development.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20225008","usgsCitation":"Kauffman, Matthew, Lowrey, Blake, Beck, Jeffrey, Berg, Jodi, Bergen, Scott, Berger, Joel, Cain, James, Dewey, Sarah, Diamond, Jennifer, Duvuvuei, Orrin, Fattebert, Julien, Gagnon, Jeff, Garcia, Julie, Greenspan, Evan, Hall, Embere, Harper, Glenn, Harter, Stan, Hersey, Kent, Hnilicka, Pat, Hurley, Mark, Knox, Lee, Lawson, Art, Maichak, Eric, Meacham, James, Merkle, Jerod, Middleton, Arthur, Olson, Daniel, Olson, Lucas, Reddell, Craig, Robb, Benjamin, Rozman, Gabe, Sawyer, Hall, Schroeder, Cody, Scurlock, Brandon, Short, Jeff, Sprague, Scott, Steingisser, Alethea, and Tatman, Nicole, 2022, Ungulate migrations of the western United States, volume 2: U.S. Geological Survey Scientific Investigations Report 2022–5008, 160 p., https://doi.org/10.3133/sir20225008.","productDescription":"Report: xix, 160 p.; Data Release","onlineOnly":"N","ipdsId":"IP-131429","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":482394,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20245006","text":"Ungulate Migrations of the Western United States, Volume 4"},{"id":482395,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20245111","text":"Ungulate Migrations of the Western United States, Volume 5"},{"id":482393,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20225088","text":"Ungulate Migrations of the Western United States, Volume 3"},{"id":482392,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20205101","text":"Ungulate Migrations of the Western United States, Volume 1"},{"id":398159,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TKA3L8","text":"USGS data release","linkHelpText":"Ungulate Migrations of the Western United States, Volume 2"},{"id":398158,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5008/sir20225008.pdf","text":"Report","size":"58.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022-5008"},{"id":398156,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5008/coverthb2.jpg"}],"country":"United States","otherGeospatial":"western United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.1015625,\n 31.50362930577303\n ],\n [\n -103.0078125,\n 31.50362930577303\n ],\n [\n -103.0078125,\n 48.80686346108517\n ],\n [\n -124.1015625,\n 48.80686346108517\n ],\n [\n -124.1015625,\n 31.50362930577303\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Associate Director, Ecosystems Mission Area
U.S. Geological Survey
12201 Sunrise Valley Drive, MS 300
Reston, VA 20192
This report summarizes the historical development and operations, from 2002 to 2020, of the U.S. Geological Survey’s (USGS) hydrologic monitoring and investigative programs at the Idaho National Laboratory in cooperation with the U.S. Department of Energy. The report covers the USGS’s programs for water-level monitoring, water-quality sampling, geochemical studies, geophysical logging, geologic framework development, groundwater-flow modeling, drilling, surface-water monitoring, and unsaturated zone studies. The report provides physical information about wells, information about changes and frequencies of sampling and measurements, and management decisions for changes. Brief summaries of USGS reports published from 2002 through 2020 (with U.S. Department of Energy report numbers) are provided in an appendix.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221027","collaboration":"DOE/ID-22256Director , Idaho Water Science Center
U.S. Geological Survey
230 Collins Rd
Boise, Idaho 83702-4520