PlioMIP is a network of paleoclimate modelers and geoscientists who, through the study of the mid-Pliocene Warm Period (mPWP ~3.3–3.0 million years ago), seek to understand the sensitivity of the climate system to forcings and examine how well models reproduce past climate change.
","language":"English","publisher":"PAGES","doi":"10.22498/pages.29.2.92","usgsCitation":"Haywood, A.M., Dowsett, H.J., and PlioMIP1 and PlioMIP2 participants, 2021, PlioMIP: The Pliocene Model Intercomparison Project: Past Global Changes Magazine, v. 29, no. 2, p. 92-93, https://doi.org/10.22498/pages.29.2.92.","productDescription":"2 p.","startPage":"92","endPage":"93","ipdsId":"IP-129726","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":450301,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.22498/pages.29.2.92","text":"Publisher Index Page"},{"id":394590,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Haywood, A. M.","contributorId":147374,"corporation":false,"usgs":false,"family":"Haywood","given":"A.","email":"","middleInitial":"M.","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":829718,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dowsett, Harry J. 0000-0003-1983-7524","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":269579,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry","email":"","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":829717,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"PlioMIP1 and PlioMIP2 participants","contributorId":271731,"corporation":true,"usgs":false,"organization":"PlioMIP1 and PlioMIP2 participants","id":831309,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70228783,"text":"70228783 - 2021 - Movement dynamics and survival of stocked Colorado River Cutthroat Trout","interactions":[],"lastModifiedDate":"2022-02-21T16:39:04.205486","indexId":"70228783","displayToPublicDate":"2021-11-01T10:30:59","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Movement dynamics and survival of stocked Colorado River Cutthroat Trout","docAbstract":"The ability of native fish to establish self-sustaining populations when reintroduced to vacant habitats is variable. We evaluated factors that potentially affect the reintroduction success of juvenile Colorado River Cutthroat Trout Oncorhynchus clarkii pleuriticus that were reintroduced to an isolated watershed and were experiencing suboptimal survival and recruitment. We conducted a 3-year mark–recapture study to model annual apparent survival probability as it related to (1) different ex situ rearing strategies and (2) initial release among different habitat types. The use of PIT tags also enabled the quantification of loss via emigration. Apparent survival was highest for small fish that were minimally exposed to ex situ rearing conditions, stocked in small, headwater stream reaches. However, maximum estimates of apparent survival remained low (≤0.38 ± 0.05 [estimate ± SE]) regardless of rearing treatment, stocking location, or interactive effects between covariates. Emigration of stocked fish (<1%) from the study area did not appear to limit their establishment. Our results suggest that variation in stocking and rearing strategy may have some effect on translocation success and the interaction between rearing and stocking strategy highlights the importance of considering the life history stage of stocked individuals when identifying stocking sites. Consistently low annual survival values may be indicative of a larger issue, requiring in-depth evaluation of adaptive potential within our brood source and other factors that potentially limit population persistence.
","language":"English","publisher":"Wiley","doi":"10.1002/tafs.10322","usgsCitation":"LeCheminant, A.G., Barrile, G.M., Albeke, S., and Walters, A.W., 2021, Movement dynamics and survival of stocked Colorado River Cutthroat Trout: Transactions of the American Fisheries Society, v. 150, no. 6, p. 679-693, https://doi.org/10.1002/tafs.10322.","productDescription":"15 p.","startPage":"679","endPage":"693","ipdsId":"IP-114193","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":396227,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Green River, LaBarge Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.48812866210938,\n 42.11248648904184\n ],\n [\n -110.05691528320311,\n 42.11248648904184\n ],\n [\n -110.05691528320311,\n 42.37021284789698\n ],\n [\n -110.48812866210938,\n 42.37021284789698\n ],\n [\n -110.48812866210938,\n 42.11248648904184\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"150","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-08-11","publicationStatus":"PW","contributors":{"authors":[{"text":"LeCheminant, Alex G.","contributorId":279769,"corporation":false,"usgs":false,"family":"LeCheminant","given":"Alex","email":"","middleInitial":"G.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":835464,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barrile, Gabriel M.","contributorId":270694,"corporation":false,"usgs":false,"family":"Barrile","given":"Gabriel","email":"","middleInitial":"M.","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":835465,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Albeke, Shannon E.","contributorId":244121,"corporation":false,"usgs":false,"family":"Albeke","given":"Shannon E.","affiliations":[{"id":48000,"text":"U Wyoming","active":true,"usgs":false}],"preferred":false,"id":835466,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":835463,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70248849,"text":"70248849 - 2021 - Appendix E: Mars nomenclature","interactions":[],"lastModifiedDate":"2023-09-22T15:55:37.97716","indexId":"70248849","displayToPublicDate":"2021-11-01T10:07:04","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Appendix E: Mars nomenclature","docAbstract":"This appendix provides an overview of the history and current standards for Mars geographic nomenclature. The article describes the International Astronomical Union's approval process for planetary nomenclature, and discusses the role of USGS Astrogeology in managing the Gazetteer of Planetary Nomenclature website and background database and","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Discovering Mars","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"University of Arizona Press","usgsCitation":"Gaither, T., 2021, Appendix E: Mars nomenclature, chap. of Discovering Mars, p. 571-580.","productDescription":"10 p.","startPage":"571","endPage":"580","ipdsId":"IP-123227","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":421083,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gaither, Tenielle 0000-0003-4230-3678","orcid":"https://orcid.org/0000-0003-4230-3678","contributorId":237081,"corporation":false,"usgs":true,"family":"Gaither","given":"Tenielle","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":883877,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70230780,"text":"70230780 - 2021 - Species invasion progressively disrupts the trophic structure of native food webs","interactions":[],"lastModifiedDate":"2022-04-26T15:16:43.834871","indexId":"70230780","displayToPublicDate":"2021-11-01T10:06:24","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Species invasion progressively disrupts the trophic structure of native food webs","docAbstract":"Species invasions can have substantial impacts on native species and ecosystems, with important consequences for biodiversity. How these disturbances drive changes in the trophic structure of native food webs through time is poorly understood. Here, we quantify trophic disruption in freshwater food webs to invasion by an apex fish predator, lake trout, using an extensive stable isotope dataset across a natural gradient of uninvaded and invaded lakes in the northern Rocky Mountains, USA. Lake trout invasion increased fish diet variability (trophic dispersion), displaced native fishes from their reference diets (trophic displacement), and reorganized macroinvertebrate communities, indicating strong food web disruption. Trophic dispersion was greatest 25 to 50 y after colonization and dissipated as food webs stabilized in later stages of invasion (>50 y). For the native apex predator, bull trout, trophic dispersion preceded trophic displacement, leading to their functional loss in late-invasion food webs. Our results demonstrate how invasive species progressively disrupt native food webs via trophic dispersion and displacement, ultimately yielding biological communities strongly divergent from those in uninvaded ecosystems.
","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.2102179118","usgsCitation":"Wainright, C., Muhlfeld, C.C., Elser, J.J., Bourret, S., and Devlin, S.P., 2021, Species invasion progressively disrupts the trophic structure of native food webs: Proceedings of the National Academy of Sciences, v. 118, no. 45, e2102179118, 5 p., https://doi.org/10.1073/pnas.2102179118.","productDescription":"e2102179118, 5 p.","ipdsId":"IP-125794","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":450302,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.2102179118","text":"Publisher Index Page"},{"id":399671,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.05957031249999,\n 46.73986059969267\n ],\n [\n -113.367919921875,\n 46.73986059969267\n ],\n [\n -113.367919921875,\n 49.01625665778159\n ],\n [\n -116.05957031249999,\n 49.01625665778159\n ],\n [\n -116.05957031249999,\n 46.73986059969267\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"118","issue":"45","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wainright, Charles","contributorId":290594,"corporation":false,"usgs":false,"family":"Wainright","given":"Charles","email":"","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":841352,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":841353,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elser, James J. 0000-0002-1460-2155","orcid":"https://orcid.org/0000-0002-1460-2155","contributorId":224787,"corporation":false,"usgs":false,"family":"Elser","given":"James","email":"","middleInitial":"J.","affiliations":[{"id":40941,"text":"University of Montana Flathead Lake Biological Station","active":true,"usgs":false}],"preferred":false,"id":841354,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bourret, Samuel 0000-0002-8521-1020","orcid":"https://orcid.org/0000-0002-8521-1020","contributorId":290597,"corporation":false,"usgs":false,"family":"Bourret","given":"Samuel","email":"","affiliations":[{"id":52338,"text":"Montana Fish, Wildlife & Parks","active":true,"usgs":false}],"preferred":false,"id":841355,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Devlin, Shawn P.","contributorId":202757,"corporation":false,"usgs":false,"family":"Devlin","given":"Shawn","email":"","middleInitial":"P.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":841356,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70230208,"text":"70230208 - 2021 - Diet composition of the African manatee: Spatial and temporal variation within the Sanaga River Watershed, Cameroon","interactions":[],"lastModifiedDate":"2022-04-05T15:13:12.014826","indexId":"70230208","displayToPublicDate":"2021-11-01T10:04:37","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Diet composition of the African manatee: Spatial and temporal variation within the Sanaga River Watershed, Cameroon","docAbstract":"The present study aimed to investigate the diet of African manatees in Cameroon to better inform conservation decisions within protected areas. A large knowledge gap on diet and seasonal changes in forage availability limits the ability to develop informed local management plans for the African manatee in much of its range. This research took place in the Sanaga River Watershed, which includes two protected areas in the Littoral Region of Cameroon: the Douala-Edea National Park and the Lake Ossa Wildlife Reserve. We analyzed 113 manatee fecal samples and surveyed shoreline emergent and submerged vegetation within the Sanaga River Watershed. We used microhistological analyses to determine the relative contribution of each plant species to African manatee diets and compared across locations and across seasons (wet vs. dry season). We found that the shoreline vegetation is diverse with over 160 plant species, unevenly distributed across space and season, and dominated by emergent vegetation mostly represented by the antelope grass (Echinochloa pyramidalis). We recorded a total of 36 plant species from fecal samples with a spatial and temporal distribution mostly reflecting that of the corresponding shoreline vegetation. African manatees appear to be primarily opportunistically feeding on available vegetation across the seasons and habitat. This work documents the current, but changing, state of plant availability in the Sanaga River Watershed and reports the African manatee diet in Cameroon for the first time. This information can play a critical role in successfully managing the species and these protected areas. If we wish to protect the African manatee and the aquatic ecosystems within the Sanaga River Watershed, we must understand how forage availability changes over time, especially as its waters become nutrient enriched, eutrophic, and exposed to invasive species of plants in a changing world.
","language":"English","publisher":"John Wiley & Sons, Inc.","doi":"10.1002/ece3.8254","usgsCitation":"Takoukam Kamla, A., Gomes, D., Beck, C., Keith-Diagne, L.W., Hunter, M., Francis-Floyd, R., and Bonde, R.K., 2021, Diet composition of the African manatee: Spatial and temporal variation within the Sanaga River Watershed, Cameroon: Ecology and Evolution, v. 11, no. 22, p. 15833-15845, https://doi.org/10.1002/ece3.8254.","productDescription":"13 p.","startPage":"15833","endPage":"15845","ipdsId":"IP-126865","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":450306,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.8254","text":"Publisher Index Page"},{"id":398115,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Cameroon","otherGeospatial":"Douala-Edea National Park, Lake Ossa Wildlife Reserve, Sanga River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 9.898681640625,\n 3.254321799348771\n ],\n [\n 9.909667968749998,\n 3.239239845874887\n ],\n [\n 10.048370361328125,\n 3.3215022897186035\n ],\n [\n 10.08819580078125,\n 3.4147247646241174\n ],\n [\n 10.086822509765625,\n 3.470928075969679\n ],\n [\n 10.11566162109375,\n 3.5230159653948925\n ],\n [\n 10.075836181640625,\n 3.7984839750369748\n ],\n [\n 10.07171630859375,\n 3.8834367625466224\n ],\n [\n 10.023651123046873,\n 3.8820666236336345\n ],\n [\n 9.758605957031248,\n 3.7409305492480764\n ],\n [\n 9.70916748046875,\n 3.7505230509601346\n ],\n [\n 9.700927734375,\n 3.784781124382708\n ],\n [\n 9.68170166015625,\n 3.8395912184049763\n ],\n [\n 9.6240234375,\n 3.8793263391382906\n ],\n [\n 9.60205078125,\n 3.871105432353669\n ],\n [\n 9.584197998046875,\n 3.8094460989409775\n ],\n [\n 9.540252685546873,\n 3.829999704546473\n ],\n [\n 9.5306396484375,\n 3.8204080831949407\n ],\n [\n 9.639129638671875,\n 3.625812414695396\n ],\n [\n 9.63226318359375,\n 3.597030572616955\n ],\n [\n 9.628143310546875,\n 3.5490588195926307\n ],\n [\n 9.64324951171875,\n 3.5367228219493203\n ],\n [\n 9.886322021484375,\n 3.292711205363982\n ],\n [\n 9.898681640625,\n 3.254321799348771\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"22","noUsgsAuthors":false,"publicationDate":"2021-11-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Takoukam Kamla, Aristide","contributorId":204221,"corporation":false,"usgs":false,"family":"Takoukam Kamla","given":"Aristide","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":839556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gomes, Dylan G. 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We used a national dataset to examine WUI distribution and growth (1990–2010) in proximity to National Forests and created a typology to characterize each National Forest’s combination of WUI area and housing growth. We found that National Forests are hotspots for WUI growth, with a 38% increase in WUI area and 46% growth in WUI houses from 1990 to 2010, in excess of WUI growth for the conterminous U.S. Growth within National Forests was higher than the surrounding area. Diffuse intermix WUI, where houses are intermingled with wildland vegetation, is common within National Forests, but WUI houses around National Forests were primarily in denser interface WUI areas, which lack substantial wildland vegetation. WUI was more prevalent within and around National Forests in the East, while National Forests in the West experienced higher rates of WUI growth. National Forests with the most challenging WUI issues—extensive WUI area and rapid growth in intermix and interface—were found primarily in the South and interior West. Given the diversity of WUI landscapes, effectively responding to current and future WUI challenges will require both engagement with individual homeowners dispersed throughout National Forests, as well as increased emphasis on mitigating denser interface development around National Forests. At a time when wildfire risks are expected to intensify due to climate change, and 75% of privately owned land within and around National Forests is not yet WUI, understanding WUI growth patterns in proximity to public lands is vital for land management and human well-being.
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Madison","active":true,"usgs":false}],"preferred":false,"id":826377,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martinuzzi, Sebastian","contributorId":268298,"corporation":false,"usgs":false,"family":"Martinuzzi","given":"Sebastian","affiliations":[{"id":18002,"text":"University of Wisconsin - Madison","active":true,"usgs":false}],"preferred":false,"id":826376,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":568,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":826378,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Radeloff, Volker C.","contributorId":141124,"corporation":false,"usgs":false,"family":"Radeloff","given":"Volker","email":"","middleInitial":"C.","affiliations":[{"id":13679,"text":"SILVIS Lab, Department of Forest and Wildlife Ecology, University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":826379,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70231779,"text":"70231779 - 2021 - Numerical simulation of the boundary layer flow generated in Monterey Bay, California by the 2010 Chilean tsunami: Case study","interactions":[],"lastModifiedDate":"2022-05-27T13:46:20.875172","indexId":"70231779","displayToPublicDate":"2021-11-01T08:39:24","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8957,"text":"Journal of Waterway, Port, Coastal, and Ocean Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Numerical simulation of the boundary layer flow generated in Monterey Bay, California by the 2010 Chilean tsunami: Case study","docAbstract":"This work presents a case study involving the numerical simulation of the unsteady boundary layer generated by the 2010 Chilean tsunami, as measured by field equipment in Monterey Bay, California, USA. A one-dimensional vertical (1DV) boundary layer model is utilized, solving Reynolds-averaged Navier–Stokes equations, coupled with two-equation k–ω turbulence closure. Local effects of convective acceleration (converging–diverging effects) on the boundary layer due to the sloping bed are likewise approximated. Four cases are considered involving simulation of: (1) the long tsunami-induced boundary layer flow in isolation, in combination with either (2) convective acceleration effects or (3) energetic short wind waves, and, finally, (4) all effects combined. Reasonable agreement with field measurements is achieved, with model results similarly showing that the tsunami-induced boundary layer in this case only spans a fraction of the local water depth. Systematic comparison of the various cases likewise elucidates the likely significance of both local converging–diverging effects, as well as interaction with the much shorter period wind waves, on the tsunami-generated boundary layer. In the latter case, analogy is drawn to well-known wave–current boundary layer interaction, with the boundary layer turbulence associated with the short wind waves inducing an effective wave roughness felt by the tsunami-induced flow, which effectively plays the role of the current.
","language":"English","publisher":"American Society of Civil Engineers","doi":"10.1061/(ASCE)WW.1943-5460.0000673","usgsCitation":"Makris, A., Lacy, J.R., and Fuhrman, D.R., 2021, Numerical simulation of the boundary layer flow generated in Monterey Bay, California by the 2010 Chilean tsunami: Case study: Journal of Waterway, Port, Coastal, and Ocean Engineering, v. 147, no. 6, 05021012, 9 p., https://doi.org/10.1061/(ASCE)WW.1943-5460.0000673.","productDescription":"05021012, 9 p.","ipdsId":"IP-124548","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":450309,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://orbit.dtu.dk/en/publications/820c4abf-2a2e-4005-bb2f-da14b18d53c7","text":"External Repository"},{"id":401297,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Monterey Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.89468383789061,\n 36.59347887826919\n ],\n [\n -121.87271118164062,\n 36.589068371399115\n ],\n [\n -121.82052612304688,\n 36.639773979496574\n ],\n [\n -121.79992675781249,\n 36.69264861993992\n ],\n [\n -121.79443359375,\n 36.752089156946326\n ],\n [\n -121.77932739257812,\n 36.79389010047562\n ],\n [\n -121.77932739257812,\n 36.815881441097154\n ],\n [\n -121.82052612304688,\n 36.88511287236025\n ],\n [\n -121.8548583984375,\n 36.9378185354581\n ],\n [\n -121.89056396484375,\n 36.96854668458301\n ],\n [\n -121.93450927734375,\n 36.98939086733937\n ],\n [\n -121.9757080078125,\n 36.96525497589677\n ],\n [\n -122.02239990234375,\n 36.97183825093165\n ],\n [\n -122.05673217773438,\n 36.95757376878687\n ],\n [\n -122.10067749023438,\n 36.96415770803826\n ],\n [\n -122.10891723632812,\n 36.71907231552909\n ],\n [\n -121.96884155273436,\n 36.5736296124793\n ],\n [\n -121.93450927734375,\n 36.62875385775956\n ],\n [\n -121.89468383789061,\n 36.59347887826919\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"147","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Makris, Athanasios","contributorId":292114,"corporation":false,"usgs":false,"family":"Makris","given":"Athanasios","email":"","affiliations":[{"id":62831,"text":"Technical University of Denmark, Dept of Mechanical Engr","active":true,"usgs":false}],"preferred":false,"id":843812,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lacy, Jessica R. 0000-0002-2797-6172","orcid":"https://orcid.org/0000-0002-2797-6172","contributorId":201703,"corporation":false,"usgs":true,"family":"Lacy","given":"Jessica","email":"","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":843813,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fuhrman, David R. 0000-0002-2433-6778","orcid":"https://orcid.org/0000-0002-2433-6778","contributorId":292115,"corporation":false,"usgs":false,"family":"Fuhrman","given":"David","email":"","middleInitial":"R.","affiliations":[{"id":62832,"text":"Technical University of Denmark, Dept. of Mechanical Engr","active":true,"usgs":false}],"preferred":false,"id":843814,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70225681,"text":"70225681 - 2021 - The AEMON-J “Hacking Limnology” workshop series & virtual summit: Incorporating data science and open science in aquatic research","interactions":[],"lastModifiedDate":"2021-12-10T17:32:59.24794","indexId":"70225681","displayToPublicDate":"2021-11-01T08:16:55","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5706,"text":"Limnology and Oceanography Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"The AEMON-J “Hacking Limnology” workshop series & virtual summit: Incorporating data science and open science in aquatic research","docAbstract":"Following the 2020 “Virtual Summit: Incorporating Data Science and Open Science in Aquatic Research” (DSOS; Meyer and Zwart 2020), a grassroots group of scientists convened the 2nd Virtual DSOS Summit on 22–23 July 2021. DSOS combined forces with the Aquatic Ecosystem MOdeling Network - Junior (AEMON-J; https://github.com/aemon-j) to host a 4-d “Hacking Limnology” Workshop Series prior to the summit (13–16 July 2021). The aim was to focus more deeply on skill development and networking among early career researchers (ECRs), both of which are key to growing a workforce of data-intensive aquatic scientists (López Moreira M et al. in press; Meyer et al. 2021a). To support ECRs further, we hosted a virtual job board, where participants could note if they were either looking for employment or hiring for a position. Like the 2020 summit, there was high enthusiasm for both the summit and the workshops. In total, 686 people from over 50 countries registered for the AEMON-J Workshop Series and the DSOS Summit. Countries with the highest number of registrants included the United States (41%), Nigeria (20%), Canada (6%), Brazil (6%), and Germany (5%) (Fig. 1). To increase accessibility, there were no registration costs for the workshops and summit, and we centralized introductory training materials, coding scripts, and presentation recordings in one community website (https://aquaticdatasciopensci.github.io/; Fig. 2), which we hope will continue to support the AEMON-J and DSOS communities over time.
","language":"English","publisher":"Association of Limnology and Oceanography","doi":"10.1002/lob.10475","usgsCitation":"Meyer, M.F., Ladwig, R., Mesman, J., Oleksy, I., Barbosa, C.C., Cawley, K.M., Cramer, A.N., Feldbauer, J., Tran, P.Q., Zwart, J.A., Lopez Moreira, G.A., Shikhani, M., Gurung, D., Hensley, R.T., Matta, E., McClure, R.P., Petzoldt, T., Sanchez Lopez, N., Soetaert, K., Thomas, M.K., Topp, S.N., and Yang, X., 2021, The AEMON-J “Hacking Limnology” workshop series & virtual summit: Incorporating data science and open science in aquatic research: Limnology and Oceanography Bulletin, v. 30, no. 4, p. 140-143, https://doi.org/10.1002/lob.10475.","productDescription":"4 p.","startPage":"140","endPage":"143","ipdsId":"IP-132579","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":450311,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/lob.10475","text":"External Repository"},{"id":391317,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Meyer, Michael F. 0000-0002-8034-9434","orcid":"https://orcid.org/0000-0002-8034-9434","contributorId":244065,"corporation":false,"usgs":false,"family":"Meyer","given":"Michael","email":"","middleInitial":"F.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":826210,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ladwig, Robert 0000-0001-8443-1999","orcid":"https://orcid.org/0000-0001-8443-1999","contributorId":268211,"corporation":false,"usgs":false,"family":"Ladwig","given":"Robert","email":"","affiliations":[],"preferred":false,"id":826211,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mesman, Jorrit 0000-0002-4319-260X","orcid":"https://orcid.org/0000-0002-4319-260X","contributorId":268212,"corporation":false,"usgs":false,"family":"Mesman","given":"Jorrit","email":"","affiliations":[{"id":25472,"text":"University of Geneva","active":true,"usgs":false}],"preferred":false,"id":826212,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oleksy, Isabella 0000-0003-2572-5457","orcid":"https://orcid.org/0000-0003-2572-5457","contributorId":268213,"corporation":false,"usgs":false,"family":"Oleksy","given":"Isabella","email":"","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":826213,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barbosa, Carolina C. 0000-0002-6393-5730","orcid":"https://orcid.org/0000-0002-6393-5730","contributorId":268214,"corporation":false,"usgs":false,"family":"Barbosa","given":"Carolina","email":"","middleInitial":"C.","affiliations":[{"id":55596,"text":"São Carlos School of Engineering, Hydraulics and Sanitation Department","active":true,"usgs":false}],"preferred":false,"id":826214,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cawley, Kaelin M. 0000-0002-0443-0070","orcid":"https://orcid.org/0000-0002-0443-0070","contributorId":268215,"corporation":false,"usgs":false,"family":"Cawley","given":"Kaelin","email":"","middleInitial":"M.","affiliations":[{"id":55597,"text":"National Ecological Observatory Network","active":true,"usgs":false}],"preferred":false,"id":826215,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cramer, Alli N. 0000-0002-0356-5782","orcid":"https://orcid.org/0000-0002-0356-5782","contributorId":268216,"corporation":false,"usgs":false,"family":"Cramer","given":"Alli","email":"","middleInitial":"N.","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":826216,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Feldbauer, Johannes 0000-0002-8238-5375","orcid":"https://orcid.org/0000-0002-8238-5375","contributorId":268217,"corporation":false,"usgs":false,"family":"Feldbauer","given":"Johannes","email":"","affiliations":[{"id":55600,"text":"Technische Universität Dresden","active":true,"usgs":false}],"preferred":false,"id":826217,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tran, Patricia Q. 0000-0003-3948-3938","orcid":"https://orcid.org/0000-0003-3948-3938","contributorId":268218,"corporation":false,"usgs":false,"family":"Tran","given":"Patricia","email":"","middleInitial":"Q.","affiliations":[{"id":34113,"text":"University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":826218,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Zwart, Jacob Aaron 0000-0002-3870-405X","orcid":"https://orcid.org/0000-0002-3870-405X","contributorId":237809,"corporation":false,"usgs":true,"family":"Zwart","given":"Jacob","email":"","middleInitial":"Aaron","affiliations":[{"id":37316,"text":"WMA - 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In particular, the incidence of Lyme disease, the major vector-borne disease in Rhode Island, has risen, along with cases of babesiosis and anaplasmosis, all vectored by the blacklegged tick. These increases might relate, in part, to climate change, although other environmental changes in the northeast (land use as it relates to habitat; vertebrate host populations for tick reproduction and enzootic cycling) also contribute. Lone star ticks, formerly southern in distribution, have been spreading northward, including expanded distributions in Rhode Island. Illnesses associated with this species include ehrlichiosis and alpha-gal syndrome, which are expected to increase. Ranges of other tick species have also been expanding in southern New England, including the Gulf Coast tick and the introduced Asian longhorned tick. These ticks can carry human pathogens, but the implications for human disease in Rhode Island are unclear.","language":"English","publisher":"Rhode Island Medical Society","usgsCitation":"Ginsberg, H., Couret, J., Garrett, J., Mather, T.N., and LeBrun, R.A., 2021, Potential effects of climate change on tick-borne diseases in Rhode Island: Rhode Island Medical Journal, v. 104, no. 9, p. 29-33.","productDescription":"5 p.","startPage":"29","endPage":"33","numberOfPages":"5","ipdsId":"IP-131427","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":391265,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":391253,"type":{"id":15,"text":"Index Page"},"url":"https://rimed.org/rimedicaljournal-2021-11.asp"}],"country":"United States","state":"Rhode 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Health","active":true,"usgs":false}],"preferred":false,"id":826176,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mather, Thomas N.","contributorId":178310,"corporation":false,"usgs":false,"family":"Mather","given":"Thomas","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":826177,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"LeBrun, Roger A.","contributorId":70907,"corporation":false,"usgs":false,"family":"LeBrun","given":"Roger","email":"","middleInitial":"A.","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":826178,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70226476,"text":"70226476 - 2021 - Synthesis of data and studies relating to Delta Smelt biology in the San Francisco Estuary, emphasizing water year 2017","interactions":[],"lastModifiedDate":"2021-11-19T13:59:19.266473","indexId":"70226476","displayToPublicDate":"2021-11-01T07:47:21","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":5573,"text":"Interagency Ecological Program Technical Report","active":true,"publicationSubtype":{"id":4}},"seriesNumber":"95","title":"Synthesis of data and studies relating to Delta Smelt biology in the San Francisco Estuary, emphasizing water year 2017","docAbstract":"In the San Francisco Estuary (SFE), the effects of freshwater flow on the aquatic ecosystem have been studied extensively over the years and remains a contentious management issue. It is especially contentious with regards to the Delta Smelt (Hypomesus transpacificus), a species endemic to the SFE that has been listed as threatened under the Federal Endangered Species Act and endangered by the State of California. Early studies of Delta Smelt distribution within the SFE suggested that Delta Smelt habitat is determined largely by freshwater flow; however, the exact mechanisms and processes producing such benefits remained unclear. In the summer of 2017, the Flow Alteration Management, Analysis, and Synthesis Team (FLOAT-MAST) was established to analyze, synthesize, and summarize the data collected from the various flow-related monitoring and special studies occurring in 2017(see Table Intro 4). This report will focus on the 2017 summer-fall status of Delta Smelt and its habitat following a record wet year.
There has been a long-term decline in the abundance of Delta Smelt associated with a decline in other pelagic fishes. Investigators concluded that the decline has likely been caused by the interactive effects of several causes, including changes in both physical and biotic habitats, many of which are tied to amount and timing of freshwater flow. For this report, we formulated a number of basic predictions about the likely effects of high flows in 2017 on Delta Smelt and their habitat (Table 3). We use a qualitative weight of evidence approach to evaluate whether these predictions were supported by available data. Data sources included a variety of long-term monitoring surveys conducted by Interagency Ecological Program (IEP) agencies, as well as model outputs.
Delta Smelt population, health, and life history metrics rarely responded as predicted. Water temperature appears to have a stronger effect on Delta Smelt growth rate and some metrics of life history diversity than outflow or X2 position. Other life history diversity attributes varied but did not appear to be driven by outflow or temperature. Health status was difficult to interpret. Low prevalence of lesions and improved nutritional condition during the drought was contradicted by declining overall population levels. Because of the sparse catches of Delta Smelt in the post-POD years, we consider the data insufficient to reach firm conclusions about the predictions concerning range and distribution of Delta Smelt, especially in the fall. The prediction of high survival was not supported. The 2017 Delta Smelt year class began with poor recruitment in spring of 2017 and below average survival for spring to summer and summer to fall. Thus, low production and low survival led to low abundance of all life stages. During the fall to winter period survival improved, yet the resulting adults were low in number. Foraging success of the fish captured, as measured by stomach fullness, was high for juveniles and adults in 2017 relative to recent years associated with the higher densities of common zooplankton prey that occurred in 2017.
In statistics, a realization is an observed value of a random variable (Gubner 2006). In mathematical geology, the most important realizations are those in the form of maps of spatially correlated regionalized variables.
Spatial description of random variables within complex domains and making certain decisions about those require complete knowledge of the attribute of interest at each point in space. However, it is virtually impossible to sample from every location within the domain to gain a complete spatial understanding of the random variables with certainty at different scales. Therefore, limited sampling leaves us with incomplete information, which is the source of uncertainty. Understanding the uncertainty and quantifying it are essential to minimize the risks of decision making. Geostatistical simulation techniques aim to quantify spatial uncertainty of random variables by numerically reproducing the reality, which we have limited knowledge of, in a discretized...
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of Mathematical Geosciences","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-030-26050-7_269-1","usgsCitation":"Karacan, C.O., 2021, Realizations, chap. of Encyclopedia of Mathematical Geosciences, 7 p., https://doi.org/10.1007/978-3-030-26050-7_269-1.","productDescription":"7 p.","ipdsId":"IP-127888","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":391744,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2021-11-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Karacan, C. Ozgen 0000-0002-0947-8241","orcid":"https://orcid.org/0000-0002-0947-8241","contributorId":201991,"corporation":false,"usgs":true,"family":"Karacan","given":"C.","email":"","middleInitial":"Ozgen","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":826861,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70226454,"text":"70226454 - 2021 - Enhancing marsh elevation using sediment augmentation: A case study from southern California, USA","interactions":[],"lastModifiedDate":"2021-11-18T12:55:54.616791","indexId":"70226454","displayToPublicDate":"2021-11-01T06:54:19","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3385,"text":"Shore & Beach","printIssn":"0037-4237","active":true,"publicationSubtype":{"id":10}},"title":"Enhancing marsh elevation using sediment augmentation: A case study from southern California, USA","docAbstract":"Tidal marshes are an important component of estuaries that provide habitat for fish and wildlife, protection from flooding, recreation opportunities, and can improve water quality. Critical to maintaining these functions is vertical accretion, a key mechanism by which tidal marshes build elevation relative to local sea level. The beneficial use of dredged material to build marsh elevations in response to accelerating sea level rise has gained attention as a management action to prevent habitat loss over the coming decades. In January 2016, a sediment augmentation project using local dredged material was undertaken at Seal Beach National Wildlife Refuge in Anaheim Bay, California, USA, to benefit tidal marsh habitat and the listed species it supports. The application process added 12,900 cubic meters of sediment with an initial, average 22-cm gain in elevation over a 3.2-hectare site. Due to sediment characteristics and higher than anticipated elevations in some areas, vegetation colonization did not occur at the expected rate; therefore, adaptive management measures were undertaken to improve hydrology of the site and facilitate vegetation colonization. More case studies that test and monitor sea level adaptation actions are needed to assist in the planning and implementation of climate-resilient projects to prevent coastal habitat loss over the coming century.
Chesapeake Bay (“mother of waters” or the “great shellfish Bay” in Algonquin), is the largest estuary in the United States and arguably the best studied estuary in the world. Chesapeake Bay is immense, with the main stem stretching 200 nautical miles (315 km) from the mouth of the Susquehanna River to its terminus at the Atlantic Ocean and an overall watershed encompassing 64,000 mi2 (165,000 km2). The mainstem, tributaries, and Bay islands form thousands of miles of coastline (Figure 1). Because of its prominence in estuarine science and ecosystem restoration, developing a working knowledge of Chesapeake Bay science and restoration is important. Hopefully, this overview will whet the appetite to learn more from information available both in the scientific literature and on the Chesapeake Bay Program website www.chesapeakebay.net
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0000-0001-6451-2513","orcid":"https://orcid.org/0000-0001-6451-2513","contributorId":225440,"corporation":false,"usgs":true,"family":"Shenk","given":"Gary","email":"","middleInitial":"W.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":826618,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Swanson, Ann","contributorId":268782,"corporation":false,"usgs":false,"family":"Swanson","given":"Ann","email":"","affiliations":[],"preferred":false,"id":826619,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vargas, Nguyen","contributorId":268783,"corporation":false,"usgs":false,"family":"Vargas","given":"Nguyen","email":"","affiliations":[],"preferred":false,"id":826620,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70227796,"text":"70227796 - 2021 - Geoelectric survey of the Granite Gravel aquifer, Llano Uplift, Central Texas, to determine locations for water wells","interactions":[],"lastModifiedDate":"2022-01-31T12:37:50.242873","indexId":"70227796","displayToPublicDate":"2021-11-01T06:30:14","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2165,"text":"Journal of Applied Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Geoelectric survey of the Granite Gravel aquifer, Llano Uplift, Central Texas, to determine locations for water wells","docAbstract":"An electrical geophysical survey was completed within a small area of the Llano Uplift of central Texas to determine locations to install two water wells in the Granite Gravel aquifer (GGA). Electrical resistivity tomography (ERT) was performed along two 188-m long profiles that intersected at the approximate center of a 100-m by 100-m self-potential (SP) map. The ERT survey was completed to map two-dimensional (2D) electric resistivity distributions in the GGA and the underlying Precambrian Town Mountain Granite (TMG) bedrock, whereas SP mapping was performed to delineate apparent streaming potential anomalies at the land surface that appeared correlated to the subsurface resistivity distributions, which exhibited strong lateral heterogeneity in the upper 35 m of the weathered layer that comprises the GGA. The depth to TMG bedrock, as shown by the resistivity distributions, varied substantially over relatively small profile distances and surface areas; however, the general electrical structure showed resistivity increasing with depth, beginning with a thin electrically conductive layer at the surface characterized by resistivity in the range of about 30–100 Ω-m, followed by a resistivity increase to 300–500 Ω-m at a depth that coincided with the water-table depth observed in the installed water wells. Resistivity of the TMG bedrock was generally greater than 500 Ω-m and exceeded 1000 Ω-m in some locations of the tomograms. Electrical structure beneath the survey area, as shown by the 2D resistivity distributions beneath the ERT profiles, delineated a relatively thick weathered section of GGA that spatially aligned with a conspicuous negative anomaly observed in the SP map after electrode-drift and terrain corrections were made. The combination of ERT and SP mapping guided selection of locations for two productive water wells within the small survey area despite substantial heterogeneity in the weathering profile of the GGA beneath the survey area.
Numerous hydropower facilities are under construction or planned in tropical and subtropical rivers worldwide. While dams are typically designed considering historic river discharge regimes, climate change may induce large-scale alterations in river hydrology. Here we analyze how future climate change will affect river hydrology, electricity generation, and economic viability of > 350 potential hydropower dams across the Amazon, Earth’s largest river basin and a global hotspot for future hydropower development. Midcentury projections for the RCP 4.5 and 8.5 climate change scenarios show basin-wide reductions of river discharge (means, 13 and 16%, respectively) and hydropower generation (19 and 27%). Declines are sharper for dams in Brazil, which harbors 60% of the proposed projects. Climate change will cause more frequent low-discharge interruption of hydropower generation and less frequent full-capacity operation. Consequently, the minimum electricity sale price for projects to break even more than doubles at many proposed dams, rendering much of future Amazon hydropower less competitive than increasingly lower cost renewable sources such as wind and solar. Climate-smart power systems will be fundamental to support environmentally and financially sustainable energy development in hydropower-dependent regions.
","language":"English","publisher":"Elseiver","doi":"10.1016/j.gloenvcha.2021.102383","usgsCitation":"Almeida, R., Fleischmann, A., Breda, J., Cardoso, D., Angarita, H., Collischonn, W., Forsberg, B.R., García-Villacorta, R., Hamilton, S., Hannam, P., Paiva, R., Poff, N.L., Sethi, S., Shi, Q., Gomes, C.P., and Flecker, A., 2021, Climate change may impair electricity generation and economic viability of future Amazon hydropower: Global Environmental Change, v. 71, 102383, 10 p., https://doi.org/10.1016/j.gloenvcha.2021.102383.","productDescription":"102383, 10 p.","ipdsId":"IP-125313","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467222,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research.wur.nl/en/publications/climate-change-may-impair-electricity-generation-and-economic-via","text":"External 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LeRoy","contributorId":261271,"corporation":false,"usgs":false,"family":"Poff","given":"N.","email":"","middleInitial":"LeRoy","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":923580,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sethi, Suresh 0000-0002-0053-1827 ssethi@usgs.gov","orcid":"https://orcid.org/0000-0002-0053-1827","contributorId":191424,"corporation":false,"usgs":true,"family":"Sethi","given":"Suresh","email":"ssethi@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":923456,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Shi, Qinru","contributorId":287220,"corporation":false,"usgs":false,"family":"Shi","given":"Qinru","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":923581,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Gomes, Carla P.","contributorId":177112,"corporation":false,"usgs":false,"family":"Gomes","given":"Carla","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":923582,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Flecker, Alexander S.","contributorId":287016,"corporation":false,"usgs":false,"family":"Flecker","given":"Alexander S.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":923583,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70227075,"text":"70227075 - 2021 - Geohydrologic and water-quality characterization of a fractured-bedrock test hole in an area of Marcellus Shale gas development, Sullivan County, Pennsylvania","interactions":[],"lastModifiedDate":"2021-12-29T16:08:55.359446","indexId":"70227075","displayToPublicDate":"2021-10-31T10:06:41","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":128,"text":"Open-File Report","active":false,"publicationSubtype":{"id":2}},"seriesNumber":"OFMI 21-02.0","title":"Geohydrologic and water-quality characterization of a fractured-bedrock test hole in an area of Marcellus Shale gas development, Sullivan County, Pennsylvania","docAbstract":"The stratigraphy, water-bearing zones, and quality of groundwater were characterized in a 1,400-ft-deep test hole drilled during 2013 in fractured bedrock in Sullivan County, Pa., by collection and analysis of measurements made during drilling, geophysical logs, and depth-specific hydraulic tests and water samples. The multidisciplinary characterization of the test hole was a cooperative effort between the Pennsylvania Department of Natural Resources, Bureau of Geological Survey (BGS), and the U.S. Geological Survey (USGS). The study provided information to aid the bedrock mapping of the Laporte 7.5-minute quad-rangle by BGS to help quantify the depth and character of fresh and saline groundwater in an area of shale-gas exploration (described in this report), which could help gas operators protect groundwater resources.
The Laporte test hole was drilled with air-hammer methods in an upland setting in the headwaters of Loyalsock Creek in the Glaciated High Plateau section of the Appalachian Plateaus physiographic province. Bedrock residuum and till were penetrated from land surface to 8.5 ft, the Huntley Mountain Formation of Mississippian and Devonian age was penetrated from 8.5 to 540 ft, and the Catskill Formation of Devonian age was penetrated from 540 to 1,400 ft. Fractures, determined from optical televiewer, acoustic televiewer, and video logs, were commonly encountered to 200 ft bls (below land surface), then decreased exponentially with depth, except at a highly fractured zone from 637 to 644 ft bls. Most fractures were along bedding planes and had a strike of about 243 degrees and dip about 4 degrees to the northwest, consistent with the test-hole location on the north limb of the Muncy Creek anticline. Few fractures were noted below 650 ft.
The depths of fresh and saline water-bearing fracture zones were identified in the test hole by geophysical-log analysis and were verified by pumping samples from zones isolated with packers and by collecting samples in the open hole with a wire-line point sampler. Six water-bearing zones associated with single or multiple fractures were identified at depths of 130–135, 180, 267–275, 425, 637–644, and 1,003 ft bls. Under ambient conditions, fresh water entered the hole from fractures at 130-135 and 180 ft bls, flowed downward and exited at fractures from 267–275, 425, and 637–644 ft. When pumped at 16.2 gal/min, most of the water from the open test hole was contributed from the fracture at 180 ft bls. Transmissivity, estimated from analysis of the specific-capacity data and flowmeter logs, is about 850 ft2/d for the entire open hole, and about 60 percent of the transmissivity is contributed from the fracture zone at 180 ft bls. The hydraulic heads in the deep water-bearing zones at 425 and 637–644 ft were about 100 ft lower than hydraulic heads in shallow water-bearing zones at 180 ft bls and above, indicating a large downward vertical hydraulic gradient.
Water samples pumped from fracture zones isolated by packers at and above the water-bearing zone at 450 ft bls were fresh with dissolved-solids contents of 105 mg/L or less. The sample isolated at 637–644 ft bls was probably affected by leakage around packers, but the specific-conductance samples collected during drilling that were believed to be representa-tive of the fracture zone at 637–644 ft bls indicated slightly saline water. Below the 637–644 ft zone, a flowmeter log in the open hole did not detect any vertical flow, and the temperature log approached the geothermal gradient, indicating little ambient fluid flow and minimal fracture transmissivity below this depth. A petrophysical-log analysis using estimates of formation water resistivity from Archie’s Equation indicated an apparent transition from fresh to saline water in the sandstones occurs between 450 to 900 ft bls, with saline water indicated below 900 ft.
Small seeps of saline water were delineated at 958, 989, and 1,003 ft bls by a time series of specific-conductance logs, and a discrete-point water sample at 990 ft bls with total dissolved-solids concentration of 19,900 mg/L verified that highly saline water was present below 900 ft bls. Occurrence of saline water at a depth of about 900 ft bls is below altitude of streams within 3 to 5 miles of the test hole but is about 930 ft above the altitude at the mouth of Loyalsock Creek where is enters the West Branch Susquehanna River at Montours-ville, Pa. The depth to saline water in this test hole is close to depths estimated at two other deep test holes drilled by the BGS in upland settings in Bradford and Tioga Counties in north-ern Pennsylvania.
The saline water from 990 ft bls had a chemical composition similar to Appalachian Basin brines that had been diluted with fresh water. Predominant ions in the saline water were sodium, chloride, and calcium. Trace constituents of strontium, bromide, barium, lithium, and molybdenum were all more than 5,000 times greater than in freshwater samples from 167 or 270 ft bls. Methane concentration in the saline water sample from 990 ft was 120 mg/L. The concentration ratios of methane to higher-chain hydrocarbon gases and isotopic ratios of 13C/12C and 2H/1H of methane indicate that the gases are likely of thermogenic origin. In the sample from 990 ft bls, the 13C/12C of methane was less negative (-34.81 per mil) than 13C/12C of ethane (-37.1 per mil). Isotopic reversals such as this are generally found in gases from rocks older than the Catskill Formation, so its recognition in a natural upland setting at relatively shallow depth could be important when interpreting isotopic results to identify the origin of stray gas in the area.
","language":"English","publisher":"Pennsylvania Geological Survey","usgsCitation":"Risser, D.W., Williams, J., and Bierly, A.D., 2021, Geohydrologic and water-quality characterization of a fractured-bedrock test hole in an area of Marcellus Shale gas development, Sullivan County, Pennsylvania: Open-File Report OFMI 21-02.0, xii, 56 p.","productDescription":"xii, 56 p.","ipdsId":"IP-107313","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":393593,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":393564,"type":{"id":15,"text":"Index Page"},"url":"https://maps.dcnr.pa.gov/publications/Default.aspx?id=995"}],"country":"United States","state":"Pennsylvania","county":"Sullivan County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.61453247070312,\n 41.28967402411714\n ],\n [\n -76.37832641601562,\n 41.28967402411714\n ],\n [\n -76.37832641601562,\n 41.46742831254425\n ],\n [\n -76.61453247070312,\n 41.46742831254425\n ],\n [\n -76.61453247070312,\n 41.28967402411714\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Risser, Dennis W. 0000-0001-9597-5406 dwrisser@usgs.gov","orcid":"https://orcid.org/0000-0001-9597-5406","contributorId":898,"corporation":false,"usgs":true,"family":"Risser","given":"Dennis","email":"dwrisser@usgs.gov","middleInitial":"W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":829528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, John 0000-0002-6054-6908 jhwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-6054-6908","contributorId":1553,"corporation":false,"usgs":true,"family":"Williams","given":"John","email":"jhwillia@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":829529,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bierly, Aaron D.","contributorId":270527,"corporation":false,"usgs":false,"family":"Bierly","given":"Aaron","email":"","middleInitial":"D.","affiliations":[{"id":16182,"text":"Pennsylvania Geological Survey","active":true,"usgs":false}],"preferred":false,"id":829530,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70229713,"text":"70229713 - 2021 - Complex evolutionary history of felid anelloviruses","interactions":[],"lastModifiedDate":"2022-03-16T16:53:33.668959","indexId":"70229713","displayToPublicDate":"2021-10-29T11:30:15","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3696,"text":"Virology","active":true,"publicationSubtype":{"id":10}},"title":"Complex evolutionary history of felid anelloviruses","docAbstract":"Anellovirus infections are highly prevalent in mammals, however, prior to this study only a handful of anellovirus genomes had been identified in members of the Felidae family. Here we characterise anelloviruses in pumas (Puma concolor), bobcats (Lynx rufus), Canada lynx (Lynx canadensis), caracals (Caracal caracal) and domestic cats (Felis catus). The complete anellovirus genomes (n = 220) recovered from 149 individuals were diverse. ORF1 protein sequence similarity network analysis coupled with phylogenetic analysis, revealed two distinct clusters that are populated by felid-derived anellovirus sequences, a pattern mirroring that observed for the porcine anelloviruses. Of the two-felid dominant anellovirus groups, one includes sequences from bobcats, pumas, domestic cats and an ocelot, and the other includes sequences from caracals, Canada lynx, domestic cats and pumas. Coinfections of diverse anelloviruses appear to be common among the felids. Evidence of recombination, both within and between felid-specific anellovirus groups, supports a long coevolution history between host and virus.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.virol.2021.07.013","usgsCitation":"Kraberger, S., Serieys, L.E., Richet, C., Fountain-Jones, N.M., Baele, G., Bishop, J.M., Nehring, M., Ivan, J., Newkirk, E.S., Squires, J.R., Lund, M.C., Riley, S.P., Wilmers, C.C., van Helden, P.D., Van Doorslaer, K., Culver, M., VandeWoude, S., Martin, D.P., and Varsani, A., 2021, Complex evolutionary history of felid anelloviruses: Virology, v. 562, p. 176-189, https://doi.org/10.1016/j.virol.2021.07.013.","productDescription":"14 p.","startPage":"176","endPage":"189","ipdsId":"IP-131734","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":450321,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://figshare.com/articles/journal_contribution/Complex_evolutionary_history_of_felid_anelloviruses/23010917","text":"Publisher Index Page"},{"id":397184,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"562","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kraberger, Simona","contributorId":288545,"corporation":false,"usgs":false,"family":"Kraberger","given":"Simona","affiliations":[{"id":12431,"text":"ASU","active":true,"usgs":false}],"preferred":false,"id":838069,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Serieys, Laurel EK","contributorId":288546,"corporation":false,"usgs":false,"family":"Serieys","given":"Laurel","email":"","middleInitial":"EK","affiliations":[{"id":54468,"text":"uc","active":true,"usgs":false}],"preferred":false,"id":838070,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richet, Cecile","contributorId":288547,"corporation":false,"usgs":false,"family":"Richet","given":"Cecile","email":"","affiliations":[{"id":12431,"text":"ASU","active":true,"usgs":false}],"preferred":false,"id":838071,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fountain-Jones, Nicholas M","contributorId":288548,"corporation":false,"usgs":false,"family":"Fountain-Jones","given":"Nicholas","email":"","middleInitial":"M","affiliations":[{"id":61795,"text":"ut","active":true,"usgs":false}],"preferred":false,"id":838072,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baele, Guy","contributorId":288550,"corporation":false,"usgs":false,"family":"Baele","given":"Guy","email":"","affiliations":[{"id":61796,"text":"ri","active":true,"usgs":false}],"preferred":false,"id":838073,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bishop, Jacqueline M.","contributorId":288667,"corporation":false,"usgs":false,"family":"Bishop","given":"Jacqueline","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":838186,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nehring, Mary","contributorId":288668,"corporation":false,"usgs":false,"family":"Nehring","given":"Mary","email":"","affiliations":[],"preferred":false,"id":838187,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ivan, Jacob S.","contributorId":200243,"corporation":false,"usgs":false,"family":"Ivan","given":"Jacob S.","affiliations":[],"preferred":false,"id":838188,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Newkirk, Eric S.","contributorId":244981,"corporation":false,"usgs":false,"family":"Newkirk","given":"Eric","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":838189,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Squires, John R.","contributorId":195901,"corporation":false,"usgs":false,"family":"Squires","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":838190,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lund, Michael C.","contributorId":288669,"corporation":false,"usgs":false,"family":"Lund","given":"Michael","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":838191,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Riley, Seth P. D.","contributorId":208334,"corporation":false,"usgs":false,"family":"Riley","given":"Seth","email":"","middleInitial":"P. D.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":838192,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wilmers, Christopher C.","contributorId":150642,"corporation":false,"usgs":false,"family":"Wilmers","given":"Christopher","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":838193,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"van Helden, Paul D.","contributorId":288671,"corporation":false,"usgs":false,"family":"van Helden","given":"Paul","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":838194,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Van Doorslaer, Koenraad","contributorId":287199,"corporation":false,"usgs":false,"family":"Van Doorslaer","given":"Koenraad","affiliations":[{"id":40855,"text":"UA","active":true,"usgs":false}],"preferred":false,"id":838200,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Culver, Melanie 0000-0001-5380-3059 mculver@usgs.gov","orcid":"https://orcid.org/0000-0001-5380-3059","contributorId":197693,"corporation":false,"usgs":true,"family":"Culver","given":"Melanie","email":"mculver@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":838068,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"VandeWoude, Sue","contributorId":179201,"corporation":false,"usgs":false,"family":"VandeWoude","given":"Sue","affiliations":[],"preferred":false,"id":838201,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Martin, Darren P.","contributorId":288672,"corporation":false,"usgs":false,"family":"Martin","given":"Darren","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":838202,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Varsani, Arvind","contributorId":171722,"corporation":false,"usgs":false,"family":"Varsani","given":"Arvind","email":"","affiliations":[],"preferred":false,"id":838203,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70225634,"text":"sim3481 - 2021 - Elevation and elevation-change maps of Fountain Creek, southeastern Colorado, 2015-20","interactions":[],"lastModifiedDate":"2021-11-01T11:47:09.108555","indexId":"sim3481","displayToPublicDate":"2021-10-29T11:15:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3481","displayTitle":"Elevation and Elevation-Change Maps of Fountain Creek, Southeastern Colorado, 2015–20","title":"Elevation and elevation-change maps of Fountain Creek, southeastern Colorado, 2015-20","docAbstract":"The U.S. Geological Survey, in cooperation with Colorado Springs Utilities, has collected topographic data annually since 2012 at 10 study areas along Fountain Creek, southeastern Colorado. The 10 study areas were located between Colorado Springs and the terminus of Fountain Creek at the Arkansas River in Pueblo. The purpose of this report is to present elevation maps based on topographic surveys collected in 2020 and to present maps of elevation change that occurred between 2015 and 2020 at all 10 study areas. Elevation and elevation-change maps were developed in Global Mapper, R, and ArcGIS from topographic surveys collected at each study area during the winters of 2015 and 2020. Topographic surveys in 2015 were completed using real-time kinematic Global Navigation Satellite Systems. Topographic surveys in 2020 were completed using both real-time kinematic Global Navigation Satellite Systems and light detection and ranging. Elevation-change maps were created using propagated uncertainties associated with the 95-percent confidence limit. Study areas along Fountain Creek underwent a range of geomorphic responses between 2015 and 2020 that were often related to the dominant channel planform pattern of the study area. The results of this ongoing monitoring effort can be used to assess long-term changes in land-surface elevation and to advance understanding of the geomorphic response to possible changes in flow conditions on Fountain Creek.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sim3481","collaboration":"Prepared in cooperation with Colorado Springs Utilities","usgsCitation":"Hempel, L.A., Creighton, A.L., and Bock, A.R., 2021, Elevation and elevation-change maps of Fountain Creek, southeastern Colorado, 2015–20: U.S. Geological Survey Scientific Investigations Map 3481, 10 sheets, 12-p. pamphlet, https://doi.org/10.3133/sim3481.","productDescription":"Report: vii, 12 p.; 10 Sheets: 12.19 x 13.44 inches or smaller; Data Release; Read Me; Related Work","onlineOnly":"Y","ipdsId":"IP-124273","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":391163,"rank":16,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sim3456","text":"Elevation and Elevation-Change Maps of Fountain Creek, Southeastern Colorado, 2015–19"},{"id":391154,"rank":9,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3481/sim3481_sheet7.pdf","text":"Elevation (2015, 2020) and Elevation-Change (2015−20) Map—Study Area 07","size":"1.51 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3581 Sheet 7","linkHelpText":"Download file and view it in Adobe Acrobat DC or Adobe Reader DC to access interactive layers."},{"id":391153,"rank":8,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3481/sim3481_sheet6.pdf","text":"Elevation (2015, 2020) and Elevation-Change (2015−20) Map—Study Area 06","size":"1.47 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3581 Sheet 6","linkHelpText":"Download file and view it in Adobe Acrobat DC or Adobe Reader DC to access interactive layers."},{"id":391157,"rank":12,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3481/sim3481_sheet10.pdf","text":"Elevation (2015, 2020) and Elevation-Change (2015−20) Map—Study Area 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Map—Study Area 03","size":"1.38 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3581 Sheet 3","linkHelpText":"Download file and view it in Adobe Acrobat DC or Adobe Reader DC to access interactive layers."},{"id":391155,"rank":10,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3481/sim3481_sheet8.pdf","text":"Elevation (2015, 2020) and Elevation-Change (2015−20) Map—Study Area 08","size":"1.59 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3581 Sheet 8","linkHelpText":"Download file and view it in Adobe Acrobat DC or Adobe Reader DC to access interactive layers."},{"id":391156,"rank":11,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3481/sim3481_sheet9.pdf","text":"Elevation (2015, 2020) and Elevation-Change (2015−20) Map—Study Area 09","size":"1.28 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3581 Sheet 9","linkHelpText":"Download file and view it in Adobe Acrobat DC or Adobe Reader DC to access interactive layers."},{"id":391159,"rank":13,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3481/sim3481_sheets1to10.pdf","text":"Elevation (2015, 2020) and Elevation-Change (2015−20) Map—Study Areas 1- 10","size":"8.40 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3581 Sheets 1-10","linkHelpText":"Download file and view it in Adobe Acrobat DC or Adobe Reader DC to access interactive layers."},{"id":391162,"rank":15,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98J7DRO","text":"USGS data release","linkHelpText":"Elevation Data from Fountain Creek between Colorado Springs and the Confluence of Fountain Creek at the Arkansas River, Colorado, 2020 (ver 2.0, May 2021)"},{"id":391090,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3481/coverthb.jpg"},{"id":391091,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3481/sim3481_pamphlet.pdf","text":"Report","size":"2.61 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2020) and Elevation-Change (2015−20) Map—Study Area 05","size":"1.46 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3581 Sheet 5","linkHelpText":"Download file and view it in Adobe Acrobat DC or Adobe Reader DC to access interactive layers."}],"country":"United States","state":"Colorado","otherGeospatial":"Fountain Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.0567626953125,\n 38.09998264736481\n ],\n [\n -104.2108154296875,\n 38.09998264736481\n ],\n [\n -104.2108154296875,\n 38.9807627650163\n ],\n [\n -105.0567626953125,\n 38.9807627650163\n ],\n [\n -105.0567626953125,\n 38.09998264736481\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, MS-415
Denver, CO 80225-0046
Oxidative weathering of sedimentary rocks plays an important role in the global carbon cycle. Rhenium (Re) has been proposed as a tracer of rock organic carbon (OCpetro) oxidation. However, the sources of Re and its mobilization by hydrological processes remain poorly constrained. Here we examine dissolved Re as a function of water discharge, using samples collected from three alpine catchments that drain sedimentary rocks in Switzerland (Erlenbach, Vogelbach) and Colorado, USA (East River). The Swiss catchments reveal a higher Re flux in the catchment with higher erosion rates, but have similar [Re]/[Na+] and [Re]/[SO42-] ratios, which indicate a dominance of Re from OCpetro. Despite differences in rock type and hydro-climatic setting, the three catchments have a positive correlation between river water [Re]/[Na+] and [Re]/[SO42-] and water discharge. We propose that this reflects preferential routing of Re from a near-surface, oxidative weathering zone. The observations support the use of Re as a proxy to trace rock-organic carbon oxidation, and suggest it may be a hydrological tracer of vadose zone processes. We apply the Re proxy, and estimate CO2 release by OCpetro oxidation of 5.7 +6.6/-2.0 tC km-2 yr-1 for the Erlenbach. The overall weathering intensity was ∼40%, meaning that the corresponding export of un-weathered OCpetro in river sediments is large, and the findings call for more measurements of OCpetro oxidation in mountains and rivers as thet cross floodplains.
This report addresses system characterization of the Indian Space Research Organisation Resourcesat-2 Advanced Wide Field Sensor (AWiFS) and is part of a series of system characterization reports produced and delivered by the U.S. Geological Survey Earth Resources Observation and Science Cal/Val Center of Excellence in 2021. These reports present and detail the methodology and procedures for characterization; present technical and operational information about the specific sensing system being evaluated; and provide a summary of test measurements, data retention practices, data analysis results, and conclusions.
Resourcesat-2 is a medium-resolution satellite launched in 2011 on the Polar Satellite Launch Vehicle-C16. Resourcesat-2 carries the same sensing elements as Resourcesat-1 (launched in October 2003) and provides continuity for the mission. The objectives of the Resourcesat mission are to provide remote sensing data services to global users, focusing on data for integrated land and water resources management.
Resourcesat-2A is identical to Resourcesat-2 and was launched in 2016 on the Polar Satellite Launch Vehicle-C36 launch vehicle for continuity of data and improved temporal resolution. The two satellites operating in tandem improved the revisit capability from 5 days to 2–3 days. The Resourcesat-2 platform is of Indian Remote Sensing Satellites-1C/1D–P3 heritage and was built by the Indian Space Research Organisation. Resourcesat-2 and Resourcesat-2A carry the AWiFS, Linear Imaging Self Scanning-3, and Linear Imaging Self Scanning-4 sensors for medium-resolution imaging. More information on Indian Space Research Organisation satellites and sensors is available in the “2020 Joint Agency Commercial Imagery Evaluation—Remote Sensing Satellite Compendium” and from the manufacturer at https://www.isro.gov.in/.
The Earth Resources Observation and Science Cal/Val Center of Excellence system characterization team completed data analyses to characterize the geometric (interior and exterior), radiometric, and spatial performances. Results of these analyses indicate that AWiFS has an interior geometric performance in the range of −16.080 (−0.268 pixel) to 35.520 meters (m; 0.592 pixel) in easting and −25.680 (−0.428 pixel) to 23.400 m (0.390 pixel) in northing in band-to-band registration, an exterior geometric error of −64.262 (−1.071 pixels) to −19.059 m (−0.318 pixel) in easting and −29.028 (−0.484 pixel) to 41.249 m (0.687 pixel) in northing offset in comparison to the Landsat 8 Operational Land Imager, a radiometric performance in the range of 2.29–2.36 pixels for full width at half maximum, with a modulation transfer function at a Nyquist frequency in the range of 0.030–0.035.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211030G","usgsCitation":"Ramaseri Chandra, S.N., Kim, M., Christopherson, J., Stensaas, G.L., and Anderson, C., 2021, System characterization report on Resourcesat-2 Advanced Wide Field Sensor, chap. G of Ramaseri Chandra, S.N., comp., System characterization of Earth observation sensors (ver. 1.2, August 2024): U.S. Geological Survey Open-File Report 2021–1030, 17 p., https://doi.org/10.3133/ofr20211030G.","productDescription":"Report: iv, 17 p.; Version History","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-126658","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":392291,"rank":5,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2021/1030/g/versionHist.txt","text":"Version History","size":"1.8 kB","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2021–1030G Version History"},{"id":391064,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2021/1030/g/images"},{"id":391063,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2021/1030/g/ofr20211030g.xml","text":"Report","size":"79.7 kB","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2021–1030G xml"},{"id":433255,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1030/g/ofr20211030g.pdf","text":"Report","size":"2.2 MB","description":"OFR 2021–1030G"},{"id":391061,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1030/g/coverthb3.jpg"}],"edition":"Version 1.0: September 28, 2021; Version 1.1: November 30, 2021; Version 1.2: August 29, 2024","contact":"Director, Earth Resources Observation and Science Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198
A telemetry study was conducted during August–December 2020 to evaluate behavior and movement patterns of adult smallmouth bass (Micropterus dolomieu) in the forebay of Bonneville Dam, Washington. A total of 40 smallmouth bass were collected, tagged, and released during August–September in seven distinct areas of the dam forebay and monitored until mid-December. Movement data from 36 tagged smallmouth bass were used in behavior analyses with an average detection duration (elapsed time from release to last detection) of 53.3 days. Nine smallmouth bass eventually moved upstream out of the array and sixteen smallmouth bass moved downstream out of the array. Smallmouth bass showed high site fidelity, primarily remaining within their zone of release or moving into nearby adjacent zones. Tagged smallmouth bass spent the greatest percentage of time in their zone of release in all zones except the Boat Rock zone; the five smallmouth bass released in the Boat Rock zone moved to the Goose Island zone, where they stayed most of their time. Smallmouth bass movements to zones farthest away from their zone of release were not common and smallmouth bass residence time in those zones was short. A large percentage of tagged smallmouth bass moved among three zones located immediately upstream from the Bonneville Dam spillway, which was not operated during the study. Results from the study provided new insights into smallmouth bass behavior patterns during fall months in the forebay of Bonneville Dam.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211099","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Kock, T.J., Hansen, G.S., and Evans, S.D., 2021, Behavior and movement of smallmouth bass (Micropterus dolomieu) in the forebay of Bonneville Dam, Columbia River, August–December 2020: U.S. Geological Survey Open-File Report 2021–1099, 13 p., https://doi.org/10.3133/ofr20211099.","productDescription":"vii, 13 p.","onlineOnly":"Y","ipdsId":"IP-127395","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":403444,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20211099/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2021-1099"},{"id":391094,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1099/coverthb.jpg"},{"id":391095,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1099/ofr20211099.pdf","text":"Report","size":"26.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021-1099"},{"id":397378,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2021/1099/images"},{"id":397379,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2021/1099/ofr20211099.XML"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Bonneville Dam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.97381973266602,\n 45.624362920967556\n ],\n [\n -121.91717147827148,\n 45.624362920967556\n ],\n [\n -121.91717147827148,\n 45.65736777757339\n ],\n [\n -121.97381973266602,\n 45.65736777757339\n ],\n [\n -121.97381973266602,\n 45.624362920967556\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115-5016
Northern bobwhite Colinus virginianus populations have been rapidly declining in the eastern, central, and southern United States for decades. Land use change and an incompatibility between northern bobwhite resource needs and human land use practices have driven declines. Here, we applied occupancy analyses on two spatial scales (state level and ecoregion level) to more than 5,000 northern bobwhite surveys conducted over 6 y across the entire state of Arkansas to explore patterns in occupancy and land use variables, and to identify priority areas for management and conservation. At the state level, northern bobwhite occupied 29% of sites and northern bobwhite were most likely to occur in areas with a high percentage of early successional habitat (grassland, pasture, and shrubland). The statewide model predicted that northern bobwhite were likely to occur (≥ 75% predicted occupancy) in < 20% of the state. Arkansas is comprised of five distinct ecoregions, and analyses at the ecoregion spatial scale showed that habitat associations of northern bobwhite could vary between ecoregions. For example, early successional habitat best predicted northern bobwhite occupancy in both the Arkansas River Valley and Ozark Mountains ecoregions, and other habitat associations such as the proportion of herbaceous habitat and hay-pasture habitat, respectively, further refined predictions. Contrastingly, richness of land cover classes alone best predicted northern bobwhite occupancy in the Ouachita Mountains ecoregion. Ecoregion-level models were thus more discerning than the state-level model and should be more helpful to managers in identifying priority conservation areas. However, in two of five ecoregions, surveys too rarely encountered northern bobwhite to accurately predict their occurrence. We found that likely occupied northern bobwhite habitat lay primarily on private properties (95%), but that numerous public entities own and manage land identified as suitable or likely occupied. We conclude that management of northern bobwhite in Arkansas could benefit from cooperation among state, federal, and military partners, as well as surrounding private landowners and that ecoregion-specific models may be more useful in identifying priority areas for management. Our approach incorporates multiple landscape scales when using remote sensing technology in conjunction with monitoring data and could have important application for the management of northern bobwhite and other grassland bird species.
","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/JFWM-21-002","usgsCitation":"Lassiter, E.V., Asher, M., Christie, G., Gale, C., Massey, A., Massery, C., MIddaugh, C., Veon, J., and DeGregorio, B.A., 2021, Northern bobwhite occupancy patterns on multiple spatial scales across Arkansas: Journal of Fish and Wildlife Management, v. 12, no. 2, p. 502-512, https://doi.org/10.3996/JFWM-21-002.","productDescription":"11 p.","startPage":"502","endPage":"512","ipdsId":"IP-125981","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":450328,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/jfwm-21-002","text":"Publisher Index Page"},{"id":396907,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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R.","contributorId":288241,"corporation":false,"usgs":false,"family":"MIddaugh","given":"C. R.","affiliations":[{"id":37007,"text":"Arkansas Game and Fish Commission","active":true,"usgs":false}],"preferred":false,"id":837584,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Veon, J.","contributorId":288245,"corporation":false,"usgs":false,"family":"Veon","given":"J.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":837585,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"DeGregorio, Brett Alexander 0000-0002-5273-049X","orcid":"https://orcid.org/0000-0002-5273-049X","contributorId":243214,"corporation":false,"usgs":true,"family":"DeGregorio","given":"Brett","email":"","middleInitial":"Alexander","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":837586,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70225682,"text":"70225682 - 2021 - Synergistic interventions to control COVID-19: Mass testing and isolation mitigates reliance on distancing","interactions":[],"lastModifiedDate":"2021-11-03T13:14:26.474395","indexId":"70225682","displayToPublicDate":"2021-10-28T08:13:05","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5727,"text":"PLOS Computational Biology","active":true,"publicationSubtype":{"id":10}},"title":"Synergistic interventions to control COVID-19: Mass testing and isolation mitigates reliance on distancing","docAbstract":"Stay-at-home orders and shutdowns of non-essential businesses are powerful, but socially costly, tools to control the pandemic spread of SARS-CoV-2. Mass testing strategies, which rely on widely administered frequent and rapid diagnostics to identify and isolate infected individuals, could be a potentially less disruptive management strategy, particularly where vaccine access is limited. In this paper, we assess the extent to which mass testing and isolation strategies can reduce reliance on socially costly non-pharmaceutical interventions, such as distancing and shutdowns. We develop a multi-compartmental model of SARS-CoV-2 transmission incorporating both preventative non-pharmaceutical interventions (NPIs) and testing and isolation to evaluate their combined effect on public health outcomes. Our model is designed to be a policy-guiding tool that captures important realities of the testing system, including constraints on test administration and non-random testing allocation. We show how strategic changes in the characteristics of the testing system, including test administration, test delays, and test sensitivity, can reduce reliance on preventative NPIs without compromising public health outcomes in the future. The lowest NPI levels are possible only when many tests are administered and test delays are short, given limited immunity in the population. Reducing reliance on NPIs is highly dependent on the ability of a testing program to identify and isolate unreported, asymptomatic infections. Changes in NPIs, including the intensity of lockdowns and stay at home orders, should be coordinated with increases in testing to ensure epidemic control; otherwise small additional lifting of these NPIs can lead to dramatic increases in infections, hospitalizations and deaths. Importantly, our results can be used to guide ramp-up of testing capacity in outbreak settings, allow for the flexible design of combined interventions based on social context, and inform future cost-benefit analyses to identify efficient pandemic management strategies.
The gill is one of the most important organs for growth and survival of fishes. Early life stages in coral reef fishes often exhibit extreme physiological and demographic characteristics that are linked to well-established respiratory and ionoregulatory processes. However, gill development and function in coral reef fishes is not well-understood. Therefore, we investigated gill morphology, oxygen uptake, and ionoregulatory systems throughout embryogenesis in two coral reef damselfishes, Acanthochromis polyacanthus and Amphiprion melanopus (Pomacentridae). In both species, we found key gill structures to develop rapidly early in the embryonic phase. Ionoregulatory cells appear on gill filaments 3-4 days post fertilization and increase in density, whilst disappearing or shrinking in cutaneous locations. Primary respiratory tissue (lamellae) appears 5-7 days post fertilization, coinciding with a peak in oxygen uptake rates of the developing embryos. Oxygen uptake was unaffected by phenylhydrazine across all ages (pre-hatch), indicating that haemoglobin is not yet required for oxygen uptake. This suggests that gills have limited contribution to respiratory functions during embryonic development, at least until hatching. Rapid gill development in damselfishes, when compared to most of the previously investigated fishes, may reflect preparations for a high-performance, challenging lifestyle on tropical reefs, but may also make reef fishes more vulnerable to anthropogenic stressors.