The diversification of modern birds has been shaped by a number of radiations. Rapid diversification events make reconstructing the evolutionary relationships among taxa challenging due to the convoluted effects of incomplete lineage sorting (ILS) and introgression. Phylogenomic data sets have the potential to detect patterns of phylogenetic incongruence, and to address their causes. However, the footprints of ILS and introgression on sequence data can vary between different phylogenomic markers at different phylogenetic scales depending on factors such as their evolutionary rates or their selection pressures. We show that combining phylogenomic markers that evolve at different rates, such as paired-end double-digest restriction site-associated DNA (PE-ddRAD) and ultraconserved elements (UCEs), allows a comprehensive exploration of the causes of phylogenetic discordance associated with short internodes at different timescales. We used thousands of UCE and PE-ddRAD markers to produce the first well-resolved phylogeny of shearwaters, a group of medium-sized pelagic seabirds that are among the most phylogenetically controversial and endangered bird groups. We found that phylogenomic conflict was mainly derived from high levels of ILS due to rapid speciation events. We also documented a case of introgression, despite the high philopatry of shearwaters to their breeding sites, which typically limits gene flow. We integrated state-of-the-art concatenated and coalescent-based approaches to expand on previous comparisons of UCE and RAD-Seq data sets for phylogenetics, divergence time estimation, and inference of introgression, and we propose a strategy to optimize RAD-Seq data for phylogenetic analyses. Our results highlight the usefulness of combining phylogenomic markers evolving at different rates to understand the causes of phylogenetic discordance at different timescales.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/sysbio/syaa101","usgsCitation":"Ferrer Obiol, J., James, H.F., Chesser, R., Bretagnolle, V., Gonzalez-Solis, J., Rozas, J., Riutort, M., and Welch, A., 2021, Integrating sequence capture and restriction-site associated DNA sequencing to resolve recent radiations of pelagic seabirds: Systematic Biology, v. 70, no. 5, p. 976-996, https://doi.org/10.1093/sysbio/syaa101.","productDescription":"21 p.","startPage":"976","endPage":"996","ipdsId":"IP-120576","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":453551,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/sysbio/syaa101","text":"Publisher Index Page"},{"id":383696,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"70","issue":"5","noUsgsAuthors":false,"publicationDate":"2021-02-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Ferrer Obiol, Joan","contributorId":252895,"corporation":false,"usgs":false,"family":"Ferrer Obiol","given":"Joan","email":"","affiliations":[{"id":50463,"text":"Univ. of Barcelona","active":true,"usgs":false}],"preferred":false,"id":811077,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"James, Helen F.","contributorId":54414,"corporation":false,"usgs":false,"family":"James","given":"Helen","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":811078,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chesser, R. Terry 0000-0003-4389-7092 tchesser@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-7092","contributorId":894,"corporation":false,"usgs":true,"family":"Chesser","given":"R. Terry","email":"tchesser@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":811079,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bretagnolle, Vincent","contributorId":213757,"corporation":false,"usgs":false,"family":"Bretagnolle","given":"Vincent","email":"","affiliations":[{"id":38848,"text":"CNRS & Université de La Rochelle","active":true,"usgs":false}],"preferred":false,"id":811080,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gonzalez-Solis, Jacob 0000-0002-8691-9397","orcid":"https://orcid.org/0000-0002-8691-9397","contributorId":252896,"corporation":false,"usgs":false,"family":"Gonzalez-Solis","given":"Jacob","email":"","affiliations":[{"id":50463,"text":"Univ. of Barcelona","active":true,"usgs":false}],"preferred":false,"id":811081,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rozas, Julio","contributorId":252897,"corporation":false,"usgs":false,"family":"Rozas","given":"Julio","email":"","affiliations":[{"id":50463,"text":"Univ. of Barcelona","active":true,"usgs":false}],"preferred":false,"id":811082,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Riutort, Marta","contributorId":252898,"corporation":false,"usgs":false,"family":"Riutort","given":"Marta","email":"","affiliations":[{"id":50463,"text":"Univ. of Barcelona","active":true,"usgs":false}],"preferred":false,"id":811083,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Welch, Andreanna J.","contributorId":79313,"corporation":false,"usgs":false,"family":"Welch","given":"Andreanna J.","affiliations":[],"preferred":false,"id":811084,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70218169,"text":"70218169 - 2021 - A regional spatio-temporal analysis of large magnitude snow avalanches using tree rings","interactions":[],"lastModifiedDate":"2021-02-15T16:01:15.63604","indexId":"70218169","displayToPublicDate":"2021-02-05T09:56:55","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2824,"text":"Natural Hazards and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"A regional spatio-temporal analysis of large magnitude snow avalanches using tree rings","docAbstract":"Snow avalanches affect transportation corridors and settlements worldwide. In many mountainous regions, robust records of avalanche frequency and magnitude are sparse or non-existent. However, dendrochronological methods can be used to fill this gap and infer historical avalanche patterns. In this study, we developed a tree-ring-based avalanche chronology for large magnitude avalanche events (size
We collected ground‐penetrating radar (GPR) and frequency‐domain electromagnetic induction (FDEM) profiles in 2011 and 2012 to identify the extent of permafrost relative to surface biomass and solar insolation around Twelvemile Lake near Fort Yukon, Alaska. We compared a Landsat‐derived biomass estimate and modeled solar insolation from a digital elevation model to the geophysical measurements. We show correspondence between vegetation type and biomass relative to permafrost extent and seasonal freeze–thaw. Thicker permafrost (≥25 m) was covered by greater biomass, and seasonal thaw depths in these regions were minimal (1 m). Shallow (1–3 m depth) and thin (20–50 cm) newly forming permafrost or frozen layers from the previous winter occurred below northward oriented slopes with thin biomass cover. South‐facing slopes exhibited permafrost when there was enough biomass to shield incoming solar energy. We developed an artificial neural network to predict permafrost extent across the broader region by mapping GPR‐observed instances of permafrost to FDEM, biomass, and terrain observations with 90.2% accuracy. We identified a strong linear correlation (r = −0.77) between permafrost probability and seasonal thaw depth, indicating that our models may also be used to explore thaw patterns and variability in active layer thickness. This study highlights the combined influence of biomass and terrain on the presence of permafrost and the value of evaluating such parameters via remote sensing to predict permafrost spatial or temporal variability. Incorporating diverse geophysical datasets with in‐situ validation into machine learning models demonstrates a useful approach to upscale estimated permafrost extent across large Arctic expanses.
The precise location of the seismic source of 1755 CE Great Lisbon earthquake is still uncertain. The aim of this work is to use an onland sedimentary record in southern Portugal to test and validate seismic sources for the earthquake. To achieve this, tsunami deposit thicknesses from over 150 cores collected at Salgados in southern Portugal were compared to the results of a tsunami sediment transport model (Delft3D-FLOW) that simulates tsunami propagation, inundation, erosion, and deposition. Five different hypothetical seismic sources were modeled with varying bed roughness coefficients to assess how well they reproduced observed patterns of tsunami deposit thicknesses and dune. Modeled and observed historical tsunami arrival times were also used to test different earthquake sources. Based on these comparisons, three modeled earthquake sources were able to reproduce the observed data, suggesting they should be regarded as somewhat more likely sources for the 1755 earthquake in contrast to four other modeled sources. The fault closest to shore (Marquês de Pombal) yielded the best correlations between model and observations.
The data summarized in this report provide a baseline characterization of the physical attributes of the riverine ecosystems in two landscapes managed by the National Park Service—Ozark National Scenic Riverways, Missouri, and Buffalo National River, Arkansas—to inform understanding and management of aquatic habitat. The study utilized a basin-scale approach and consisted of two components: a basin-scale channel classification and a longitudinal inventory of gravel bars. We evaluated the Jacks Fork and Current River in Ozark National Scenic Riverways and the main stem Buffalo River in Buffalo National River. The primary objective of the study was to characterize geomorphic patterns that affect channel stability and rates of geomorphic change in both national park units. Findings may be used to inform understanding of the distribution and availability of aquatic habitat.
For the basin-scale channel classification, we performed exploratory statistical analyses using nine geomorphic variables (channel width, standard deviation in channel width, valley width, distance to valley wall, confinement, bar area, bluff area, braid index, and sinuosity). Each metric was quantified along the length of the river system at 200-meter intervals. We then performed a cluster analysis for each river using a subset of variables, resulting in 2 to 5 distinct geomorphic classes depending on criteria used for determining number of clusters. Longitudinal patterns in clusters vary for each river system but reflect a combination of landscape factors including valley width, influence of tributaries, and lithology, which affect channel stability and aquatic habitat.
We developed a longitudinal inventory of gravel bars by quantifying the area of gravel bars from a series of imagery in each park. In Ozark National Scenic Riverways we analyzed five time periods, with the earliest being 1992 and most recent being 2014. In Buffalo National River, we also analyzed five series of aerial imagery, ranging from 1982 to 2013. The analysis indicated a general decrease in gravel storage in upstream reaches of each river evaluated, accompanied by a general increase in storage farther downstream. Local patterns in gravel-bar area are associated with longitudinal patterns in geomorphic setting, such as valley geometry and channel width, that affect depositional patterns and sediment storage at the reach scale.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205122","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Erwin, S.O., Jacobson, R.B., and Jones, J.C., 2021, Stream classification and gravel-bar inventory for Buffalo National River and Ozark National Scenic Riverways: U.S. Geological Survey Scientific Investigations Report 2020–5122, 42 p., https://doi.org/10.3133/sir20205122.","productDescription":"Report: vi, 42 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-115711","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":382904,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5122/coverthb.jpg"},{"id":382905,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5122/sir20205122.pdf","text":"Report","size":"47.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5122"},{"id":382906,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZGVTOP","text":"USGS data release","linkHelpText":"Stream classification and gravel bar inventory for Buffalo National River and Ozark National Scenic Riverways, 1982–2014"}],"country":"United States","state":"Arkansas, Missouri","otherGeospatial":"Buffalo National River, Ozark National Scenic Riverways","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.93359375,\n 36.730079507078415\n ],\n [\n -90.076904296875,\n 36.730079507078415\n ],\n [\n -90.076904296875,\n 37.996162679728116\n ],\n [\n -91.93359375,\n 37.996162679728116\n ],\n [\n -91.93359375,\n 36.730079507078415\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.141845703125,\n 35.263561862152095\n ],\n [\n -92.17529296875,\n 35.263561862152095\n ],\n [\n -92.17529296875,\n 36.19995805932895\n ],\n [\n -94.141845703125,\n 36.19995805932895\n ],\n [\n -94.141845703125,\n 35.263561862152095\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Columbia Environmental Research Center
U.S. Geological Survey
4200 New Haven Road
Columbia, MO 6520
Chemical-contaminant mixtures are widely reported in large stream reaches in urban/agriculture-developed watersheds, but mixture compositions and aggregate biological effects are less well understood in corresponding smaller headwaters, which comprise most of stream length, riparian connectivity, and spatial biodiversity. During 2014–2017, the U.S. Geological Survey (USGS) measured 389 unique organic analytes (pharmaceutical, pesticide, organic wastewater indicators) in 305 headwater streams within four contiguous United States (US) regions. Potential aquatic biological effects were evaluated for estimated maximum and median exposure conditions using multiple lines of evidence, including occurrence/concentrations of designed-bioactive pesticides and pharmaceuticals and cumulative risk screening based on vertebrate-centric ToxCast™ exposure-response data and on invertebrate and nonvascular plant aquatic life benchmarks. Mixed-contaminant exposures were ubiquitous and varied, with 78% (304) of analytes detected at least once and cumulative maximum concentrations up to more than 156,000 ng/L. Designed bioactives represented 83% of detected analytes. Contaminant summary metrics correlated strong-positive (rho (ρ): 0.569–0.719) to multiple watershed-development metrics, only weak-positive to point-source discharges (ρ: 0.225–353), and moderate- to strong-negative with multiple instream invertebrate metrics (ρ: −0.373 to −0.652). Risk screening indicated common exposures with high probability of vertebrate-centric molecular effects and of acute toxicity to invertebrates, respectively. The results confirm exposures to broad and diverse contaminant mixtures and provide convincing multiple lines of evidence that chemical contaminants contribute substantially to adverse multi-stressor effects in headwater-stream communities.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2021.145062","usgsCitation":"Bradley, P., Journey, C., Romanok, K., Breitmeyer, S.E., Button, D.T., Carlisle, D.M., Huffman, B., Mahler, B., Nowell, L.H., Qi, S.L., Smalling, K., Waite, I.R., and Van Metre, P.C., 2021, Multi-region assessment of chemical mixture exposures and predicted cumulative effects in USA wadeable urban/agriculture-gradient streams: Science of the Total Environment, v. 773, 145062, 12 p., https://doi.org/10.1016/j.scitotenv.2021.145062.","productDescription":"145062, 12 p.","ipdsId":"IP-122523","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science 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Cedar River, and Sycamore Creek near Lansing, Michigan","title":"Hydrologic and hydraulic analyses of the Grand River, Red Cedar River, and Sycamore Creek near Lansing, Michigan","docAbstract":"The U.S. Geological Survey (USGS) completed hydrologic and hydraulic analyses for selected reaches of the Grand River, Red Cedar River, and Sycamore Creek near Lansing, Michigan, in cooperation with the city of Lansing. The study comprised a 3.1-mile reach of the Grand River, a 30.3-mile reach of the Red Cedar River, and a 12.0-mile reach of Sycamore Creek. The information produced from the study can be used to update and expand an existing Federal Emergency Management Agency Flood Insurance Study for Ingham County, Mich.
Historical streamflow data from USGS streamgages on Grand River at Lansing, Mich. (station number 04113000); Red Cedar River at East Lansing, Mich. (station number 04112500); Red Cedar River near Williamston, Mich. (station number 04111379); and Sycamore Creek at Holt Road near Holt, Mich. (station number 04112850) were used to estimate instantaneous peak streamflows for floods with 10-, 4-, 2-, 1-, and 0.2-percent annual exceedance probabilities (AEPs) and a “1-percent plus” AEP.
The Hydrologic Engineering Center’s River Analysis System step-backwater model was used to determine water-surface elevation profiles for the 10-, 4-, 2-, 1-, and 0.2-percent AEP floods, the 1-percent plus AEP flood, and a regulatory floodway for each stream reach. The hydraulic models were calibrated based on stage-streamflow ratings at USGS streamgages. Flood-inundation boundaries for the 1- and 0.2-percent annual exceedance probability floods and regulatory floodway were created for each stream.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20205144","collaboration":"Prepared in cooperation with the city of Lansing, Michigan","usgsCitation":"Whitehead, M.T., and Ostheimer, C.J., 2021, Hydrologic and hydraulic analyses of the Grand River, Red Cedar River, and Sycamore Creek near Lansing, Michigan: U.S. Geological Survey Scientific Investigations Report 2020–5144, \n17 p., https://doi.org/10.3133/sir2020–5144.","productDescription":"Report: iv, 17 p.; Data Realease","onlineOnly":"Y","ipdsId":"IP-118378","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":382823,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5144/coverthb.jpg"},{"id":382824,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5144/sir20205144.pdf","text":"Report","size":"3.43 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5144"},{"id":382825,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P91CQ755","text":"USGS data release","linkHelpText":"Geospatial datasets and hydraulic models for the Grand River, Red Cedar River, and Sycamore Creek near Lansing, Michigan"}],"country":"United States","state":"Michigan","otherGeospatial":"Grand River, Red Cedar River, Sycamore Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.57550048828125,\n 42.48526384858916\n ],\n [\n -83.9959716796875,\n 42.48526384858916\n ],\n [\n -83.9959716796875,\n 42.76465818533266\n ],\n [\n -84.57550048828125,\n 42.76465818533266\n ],\n [\n -84.57550048828125,\n 42.48526384858916\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Ohio-Kentucky-Indiana Science Center
U.S. Geological Survey
6460 Busch Blvd., Suite 100
Columbus, OH 43229
The factors that set range limits for animal populations can inform management plans aimed at maintaining regional biodiversity. We examine abiotic and biotic drivers of the distribution of finescale dace (Chrosomus neogaeus) in two Great Plains basins to identify limiting factors for a threatened freshwater fish population at the edge of their range.
Great Plains, Nebraska, South Dakota and Wyoming, USA.
We investigated abiotic and biotic factors influencing the contemporary distribution of finescale dace in the Belle Fourche and Niobrara River basins with Random Forests classification models using fish surveys from multiple agencies spanning 2008–2019 and GIS-derived environmental data.
In both basins, finescale dace occurrence exhibited a nonlinear response to mean August water temperature. Abiotic covariates, including streamflow, water temperature and channel slope, were important limiting factors in the final model fit with Belle Fourche River basin surveys (n = 131). In contrast, a biotic covariate, native minnow richness, was the most important predictor of finescale dace occurrence in the Niobrara River basin model (n = 27). In the Niobrara River, native minnow richness was lower at sites with non-native northern pike (Esox lucius).
Basin-specific analyses revealed context dependencies for species–environment relationships, which can inform targeted restoration actions. Similar relationships between water temperature and finescale dace occurrence across both basins suggest summer thermal habitat as a regional limiting factor. The importance of biotic interactions in the Niobrara River highlights an emergent threat from invasive predators to a distinct assemblage of native prairie fishes.
","language":"English","publisher":"Wiley","doi":"10.1111/ddi.13227","usgsCitation":"Booher, E., and Walters, A.W., 2021, Biotic and abiotic determinants of finescale dace distribution at the southern edge of their range: Diversity and Distributions, v. 27, no. 4, p. 696-709, https://doi.org/10.1111/ddi.13227.","productDescription":"14 p.","startPage":"696","endPage":"709","ipdsId":"IP-119393","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":453583,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.13227","text":"Publisher Index Page"},{"id":396435,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska, South Dakota, Wyoming","otherGeospatial":"Belle Fourche River, Niobara River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.8,\n 42.132858175814626\n ],\n [\n -102.80731201171875,\n 42.132858175814626\n ],\n [\n -102.80731201171875,\n 42.7\n ],\n [\n -104.8,\n 42.7\n ],\n [\n -104.8,\n 42.132858175814626\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.94140625,\n 44.44358514592119\n ],\n [\n -103.53240966796875,\n 44.44358514592119\n ],\n [\n -103.53240966796875,\n 45\n ],\n [\n -104.94140625,\n 45\n ],\n [\n -104.94140625,\n 44.44358514592119\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"27","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-02-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Booher, Evan C. J.","contributorId":280044,"corporation":false,"usgs":false,"family":"Booher","given":"Evan C. J.","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":835937,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":835936,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70219171,"text":"70219171 - 2021 - Waterfowl use of wetland habitats informs wetland restoration designs for multi‐species benefits","interactions":[],"lastModifiedDate":"2021-09-14T16:08:07.386577","indexId":"70219171","displayToPublicDate":"2021-02-03T07:42:05","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Waterfowl use of wetland habitats informs wetland restoration designs for multi‐species benefits","docAbstract":"Historical estimates of the area occupied by overwintering Danaus plexippus (monarchs) in central Mexico (between winters of 1976 and 1991) were published in García-Serrano and others (2004) and more recently in Mawdsley and others (2020). Our primary objectives were to identify the specific data that informed those estimates and, importantly, determine the degree to which the reported estimates reflect the total size of the overwintering monarch population during that period. Understanding how historical estimates of the overwintering area relate to total population size is necessary to ensure that inferences about population abundance and temporal trends are reliable, particularly as the U.S. Fish and Wildlife Service is in the process of determining if the species should be listed under the U.S. Endangered Species Act.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201150","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Zylstra, E.R., Thogmartin, W.E., Ramírez, M.I., and Zipkin, E.F., 2020, Summary of available data from the monarch overwintering colonies in central Mexico, 1976–1991: U.S. Geological Survey Open-File Report 2020–1150, 10 p., https://doi.org/10.3133/ofr20201150.","productDescription":"iii, 10 p.","onlineOnly":"Y","ipdsId":"IP-123783","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":382819,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1150/coverthb.jpg"},{"id":382820,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1150/ofr20201150.pdf","text":"Report","size":"3.13 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Open-File Report 2020-1150"}],"country":"Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -102.85400390625,\n 15.834535741221565\n ],\n [\n -94.15283203125,\n 15.834535741221565\n ],\n [\n -94.15283203125,\n 22.411028521558706\n ],\n [\n -102.85400390625,\n 22.411028521558706\n ],\n [\n -102.85400390625,\n 15.834535741221565\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Upper Midwest Environmental Sciences Center
U.S. Geological Survey
2630 Fanta Reed Road
La Crosse, WI 54602
Members of the freshwater catfishes (order Siluriformes) are capable of transintestinal expulsion of foreign bodies, including internally implanted tags, which can bias movement and survival estimates. We evaluated long-term (120-week) retention rates of passive integrated transponder (PIT) tags in a laboratory setting to assess potential tag loss in Stonecat Noturus flavus. The PIT tags were surgically implanted into the peritoneal cavity of fish (n = 157) ranging from 71 to 213 mm TL. We demonstrated that Stonecats can successfully be tagged with 12- and 23-mm PIT tags with low levels of mortality (5.0%) and tag loss (9.6%). Based on individual encounter histories and covariates, we further evaluated our data set in a multistate framework using program MARK. Based on our findings, tag age has a negative effect on tag loss; if Stonecats lose tags, it is relatively soon after tagging. Additionally, Stonecat TL has a negative effect on tag loss, with tag loss decreasing with increasing fish TL.
","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10550","usgsCitation":"D’Amico, T.W., Winkelman, D.L., Swarr, T.R., and Myrick, C., 2021, Retention of passive integrated transponder tags in a small-bodied catfish: North American Journal of Fisheries Management, v. 41, no. 1, p. 187-195, https://doi.org/10.1002/nafm.10550.","productDescription":"9 p.","startPage":"187","endPage":"195","ipdsId":"IP-117998","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395929,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-02-01","publicationStatus":"PW","contributors":{"authors":[{"text":"D’Amico, Timothy W.","contributorId":276086,"corporation":false,"usgs":false,"family":"D’Amico","given":"Timothy","email":"","middleInitial":"W.","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":834537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Winkelman, Dana L. 0000-0002-5247-0114 danaw@usgs.gov","orcid":"https://orcid.org/0000-0002-5247-0114","contributorId":4141,"corporation":false,"usgs":true,"family":"Winkelman","given":"Dana","email":"danaw@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":834536,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swarr, Tyler R.","contributorId":276087,"corporation":false,"usgs":false,"family":"Swarr","given":"Tyler","email":"","middleInitial":"R.","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":834538,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Myrick, Christopher A.","contributorId":276088,"corporation":false,"usgs":false,"family":"Myrick","given":"Christopher A.","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":834539,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70228521,"text":"70228521 - 2021 - In-situ monitoring of infiltration-induced instability of I-70 embankment west of the Eisenhower-Johnson Memorial Tunnels, phase III","interactions":[],"lastModifiedDate":"2022-02-14T16:58:12.573395","indexId":"70228521","displayToPublicDate":"2021-02-01T14:43:21","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":10112,"text":"Colorado Department of Transportation Report","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"2021-08","title":"In-situ monitoring of infiltration-induced instability of I-70 embankment west of the Eisenhower-Johnson Memorial Tunnels, phase III","docAbstract":"A new methodology that uses recent advances in unsaturated soil mechanics and hydrology was developed and tested. The approach consists of using soil suction and moisture content field information in the prediction of the likelihood of landslide movement. The testing ground was an active landslide on I-70 west of the Eisenhower/Johnson Memorial Tunnels. A joint effort between Colorado School of Mines, CDOT, and USGS performed detailed site characterization, set up and calibrated a hydro-mechanical model of the site based on seven years of field data, and performed a stability analysis of the slope. Results indicate that consecutive years of high or low infiltration have a compounding effect so that the slope stability is influenced by the preceding years. Additionally, a new drainage system is proposed based on analysis of the current horizontal drains.
","language":"English","publisher":"Colorado Department of Transportation","usgsCitation":"Wayllace, A., Lu, N., and Mirus, B., 2021, In-situ monitoring of infiltration-induced instability of I-70 embankment west of the Eisenhower-Johnson Memorial Tunnels, phase III: Colorado Department of Transportation Report 2021-08, 84 p.","productDescription":"84 p.","ipdsId":"IP-126891","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":395894,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":395834,"type":{"id":11,"text":"Document"},"url":"https://www.codot.gov/programs/research/pdfs/2021/in-situ-monitoring-of-infiltration-induced-instability-of-i-70-embankment-west-of-the-eisenhower-johnson-memorial-tunnels-phase-iii.pdf"}],"country":"United States","state":"Colorado","otherGeospatial":"Straight Creek slide location","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.96334934234619,\n 39.67218123730546\n ],\n [\n -105.95322132110596,\n 39.67218123730546\n ],\n [\n -105.95322132110596,\n 39.678853450286766\n ],\n [\n -105.96334934234619,\n 39.678853450286766\n ],\n [\n -105.96334934234619,\n 39.67218123730546\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wayllace, Alexandra","contributorId":203213,"corporation":false,"usgs":false,"family":"Wayllace","given":"Alexandra","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":834488,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lu, Ning","contributorId":267914,"corporation":false,"usgs":false,"family":"Lu","given":"Ning","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":834489,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mirus, Benjamin B. 0000-0001-5550-014X","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":267912,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":834490,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70217901,"text":"70217901 - 2021 - Effectiveness of a distance sampling from roads program for white-tailed deer in the National Capital Region parks","interactions":[],"lastModifiedDate":"2021-02-11T20:27:48.758809","indexId":"70217901","displayToPublicDate":"2021-02-01T14:17:54","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"2021/2224","title":"Effectiveness of a distance sampling from roads program for white-tailed deer in the National Capital Region parks","docAbstract":"We evaluated the effectiveness of a distance sampling from roads program for estimating population sizes of white-tailed deer (Odocoileus virginianus) from 2001 to 2015 in parks of the National Capital Region (NCR), National Parks Service. Distance sampling is a method for estimating the density of organisms using a distribution of distances to observed individuals. Re-analysis of survey data for 9 of 11 NCR parks found that although the original park analyses likely estimated deer densities correctly, the uncertainties (coefficients of variation or CV) of the original estimates were likely underestimated. Power analyses based on the current analysis methods showed that survey effort at some parks was likely insufficient to reach the NCR target of a 20% CV. We simulated 7 different types of deer populations and 3 survey designs to assess how violations of the assumptions of distance sampling might have impacted population estimates. A significant interaction between survey type and population type explained most of the variation in population estimates across simulations. Simulation results suggested that (1) non-road surveys were more robust to bias in seven deer population distributions than were road surveys, (2) effectiveness of each of 3 survey types was dependent on the way deer were distributed across the landscape, and (3) non-road surveys produced unbiased estimates of populations affected by roads, whereas, road surveys did not. Based on this study, we recommend revisions of the NCR distance sampling program, including additional sampling effort for some parks and suggest alternative survey strategies to ameliorate potential assumption violations of distance sampling.","language":"English","publisher":"National Park Service","doi":"10.36967/nrr-2284469","usgsCitation":"Green, N., Wildhaber, M.L., and Albers, J.L., 2021, Effectiveness of a distance sampling from roads program for white-tailed deer in the National Capital Region parks: Natural Resource Report 2021/2224, xvi, 117 p., https://doi.org/10.36967/nrr-2284469.","productDescription":"xvi, 117 p.","ipdsId":"IP-101076","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":383234,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia","city":"Washington D.C.","otherGeospatial":"Antietium National Battlefield, Catoctin Mountain Park, Chesapeake and Ohio Canal National Historical Park, George Washington Memorial Parkway, Harpers Ferry National Historical Park, Manassas National Battlefield Park, Monocacy National Battlefield, National Capital Parks—East Fort Washington Park, National Capital Parks—East Greenbelt Park, National Capital Parks—East Piscataway Park, Prince William Forest Park, Rock Creek Park, Wolf Trap National Park for the Performing Arts","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.73901367187499,\n 37.709899354855125\n ],\n [\n -75.640869140625,\n 37.709899354855125\n ],\n [\n -75.640869140625,\n 39.7240885773337\n ],\n [\n -78.73901367187499,\n 39.7240885773337\n ],\n [\n -78.73901367187499,\n 37.709899354855125\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Green, Nicholas S. 0000-0002-8538-4191","orcid":"https://orcid.org/0000-0002-8538-4191","contributorId":202040,"corporation":false,"usgs":true,"family":"Green","given":"Nicholas S.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":810122,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":810123,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Albers, Janice L. 0000-0002-6312-8269 jalbers@usgs.gov","orcid":"https://orcid.org/0000-0002-6312-8269","contributorId":3972,"corporation":false,"usgs":true,"family":"Albers","given":"Janice","email":"jalbers@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":810124,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70229038,"text":"70229038 - 2021 - Sex-specific behaviors of hunted mule deer during rifle season","interactions":[],"lastModifiedDate":"2022-02-28T16:31:15.834673","indexId":"70229038","displayToPublicDate":"2021-02-01T10:19:26","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Sex-specific behaviors of hunted mule deer during rifle season","docAbstract":"Animal populations face increased threats to mobility and access to critical habitat from a variety of human disturbances including roads, residential development, agriculture, and energy development. Disturbance from human hunting is known to alter habitat use in ungulates, but recent work suggests that hunting may also trigger the onset of migration. Whether this holds true across ungulate species and hunting systems warrants further empirical testing. We used global positioning system location data from mule deer (Odocoileus hemionus) in south-central Wyoming, USA, to evaluate the sex-specific effects of hunting on habitat selection and migratory behavior from 2016 to 2018. We modeled habitat selection before and during hunting season using a step selection function, and we used time-to-event models to evaluate if hunting triggered migration. We found habitat selection and migration timing to be sex specific. Males responded to hunting season by selecting security habitat away from motorized routes, whereas females used habitat through hunting season that retained higher forage quality. Weather, as indexed by temperature and precipitation (i.e., snowfall), influenced migration timing for males and females. Migration timing in males was influenced by migration distance, where individuals traveling >50 km tended to migrate earlier than individuals moving <50 km. For deer that survived to rifle season, hunting was less influential on migration timing than environmental factors. Rifle season increased the likelihood of migration by 2% in females and <0.01% in males compared to outside rifle season. Our findings suggest that roadless areas on mule deer summer ranges and within migration corridors reduce the effects of hunting disturbance. Consequently, managers may consider limiting the use of motorized vehicles as a method for reducing effects on migration from hunting disturbance.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21988","usgsCitation":"Rodgers, P.A., Sawyer, H., Mong, T.W., Stephens, S., and Kauffman, M., 2021, Sex-specific behaviors of hunted mule deer during rifle season: Journal of Wildlife Management, v. 85, no. 2, p. 215-227, https://doi.org/10.1002/jwmg.21988.","productDescription":"13 p.","startPage":"215","endPage":"227","ipdsId":"IP-123653","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":396562,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.885498046875,\n 39.35129035526705\n ],\n [\n -105.325927734375,\n 39.35129035526705\n ],\n [\n -105.325927734375,\n 42.67435857693381\n ],\n [\n -108.885498046875,\n 42.67435857693381\n ],\n [\n -108.885498046875,\n 39.35129035526705\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"85","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-12-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Rodgers, Patrick A.","contributorId":286877,"corporation":false,"usgs":false,"family":"Rodgers","given":"Patrick","email":"","middleInitial":"A.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":836491,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sawyer, Hall","contributorId":39930,"corporation":false,"usgs":false,"family":"Sawyer","given":"Hall","affiliations":[],"preferred":false,"id":836338,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mong, Tony W.","contributorId":243064,"corporation":false,"usgs":false,"family":"Mong","given":"Tony","email":"","middleInitial":"W.","affiliations":[{"id":48630,"text":"wy gF","active":true,"usgs":false}],"preferred":false,"id":836339,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stephens, Sam","contributorId":286876,"corporation":false,"usgs":false,"family":"Stephens","given":"Sam","email":"","affiliations":[{"id":34137,"text":"Wyoming Fish and Game Department","active":true,"usgs":false}],"preferred":false,"id":836340,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":202921,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":836337,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70236991,"text":"70236991 - 2021 - Sap flow evidence of chilling injury and recovery in mangroves following a spring cold spell","interactions":[],"lastModifiedDate":"2022-09-27T13:50:33.036756","indexId":"70236991","displayToPublicDate":"2021-02-01T08:45:30","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3651,"text":"Trees: Structure and Function","active":true,"publicationSubtype":{"id":10}},"title":"Sap flow evidence of chilling injury and recovery in mangroves following a spring cold spell","docAbstract":"Mangroves are periodically influenced in negative ways by non-freezing temperatures across their global sub-tropical range. However, physiological and morphological evidence of chilling influences to non-freezing chilling events has not been measured in field settings. In this study, we measured sap flow (Js) during such a chilling (but non-freezing) event in southern China and documented the reductions in Js and the recovery that ensued. We calculated tree water use (TWU) from Js measurements taken from thermal dissipation sap flow sensors on two mangrove species (Sonneratia apetala and S. caseolaris). This chilling event significantly injured the mangrove trees in the form of leaf scorch and massive defoliation. Diurnal variations of stem Js of both species were altered significantly after chilling. On the day of the chilling event, Js of S. caseolaris was reduced from the daily maximum of 44.1 g H2O m−2 s−1 to 0 immediately after chilling, which lasted throughout the remainder of the day. In contrast, S. apetala showed a certain low-temperature tolerance, while still maintaining an adequate transpiration rate after chilling, indicative of a more resilient hydraulic transport system to low temperatures. The sap flow data collected revealed substantial evidence for acute water conservation during low-temperature events, perhaps ameliorating low-temperature damage. Hence, the responses of some mangrove species with high sensitivity to low, but non-freezing, temperature (such as S. caseolaris) may indicate that mangroves possess adaptive whole-tree strategies to cold temperature.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s00468-021-02089-9","usgsCitation":"Gu, X., Yang, C., Zhao, H., Hu, N., Krauss, K., Deng, C., and Chen, L., 2021, Sap flow evidence of chilling injury and recovery in mangroves following a spring cold spell: Trees: Structure and Function, v. 35, no. 3, p. 907-917, https://doi.org/10.1007/s00468-021-02089-9.","productDescription":"11 p.","startPage":"907","endPage":"917","ipdsId":"IP-114795","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":407398,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 107.9296875,\n 22.228090416784486\n ],\n [\n 107.75390625,\n 21.616579336740603\n ],\n [\n 109.5556640625,\n 20.46818922264095\n ],\n [\n 108.19335937499999,\n 19.352610894378625\n ],\n [\n 108.4130859375,\n 18.271086109608877\n ],\n [\n 110.1708984375,\n 17.97873309555617\n ],\n [\n 111.3134765625,\n 19.642587534013032\n ],\n [\n 110.9619140625,\n 21.04349121680354\n ],\n [\n 113.6865234375,\n 21.861498734372567\n ],\n [\n 116.4111328125,\n 22.755920681486405\n ],\n [\n 120.0146484375,\n 25.12539261151203\n ],\n [\n 120.1904296875,\n 26.27371402440643\n ],\n [\n 121.37695312499999,\n 27.68352808378776\n ],\n [\n 122.56347656249999,\n 29.99300228455108\n ],\n [\n 121.728515625,\n 32.69486597787505\n ],\n [\n 120.5419921875,\n 32.65787573695528\n ],\n [\n 119.92675781249999,\n 29.458731185355344\n ],\n [\n 116.806640625,\n 25.363882272740256\n ],\n [\n 111.796875,\n 23.241346102386135\n ],\n [\n 107.9296875,\n 22.228090416784486\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"35","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-02-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Gu, Xiaoxuan","contributorId":296950,"corporation":false,"usgs":false,"family":"Gu","given":"Xiaoxuan","email":"","affiliations":[{"id":64251,"text":"College of the Environment and Ecology, Xiamen University","active":true,"usgs":false}],"preferred":false,"id":852951,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yang, Chen","contributorId":219219,"corporation":false,"usgs":false,"family":"Yang","given":"Chen","email":"","affiliations":[{"id":39971,"text":"School of Earth Sciences, The Ohio State University, Columbus, Ohio","active":true,"usgs":false}],"preferred":false,"id":852952,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhao, Hewei","contributorId":296951,"corporation":false,"usgs":false,"family":"Zhao","given":"Hewei","email":"","affiliations":[{"id":64251,"text":"College of the Environment and Ecology, Xiamen University","active":true,"usgs":false}],"preferred":false,"id":852953,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hu, Naxu","contributorId":296952,"corporation":false,"usgs":false,"family":"Hu","given":"Naxu","email":"","affiliations":[{"id":64251,"text":"College of the Environment and Ecology, Xiamen University","active":true,"usgs":false}],"preferred":false,"id":852954,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krauss, Ken 0000-0003-2195-0729","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":219804,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":852955,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Deng, Chuanyuan","contributorId":296953,"corporation":false,"usgs":false,"family":"Deng","given":"Chuanyuan","email":"","affiliations":[{"id":64252,"text":"College of Landscape Architecture, Fujian Agriculture and Forestry University","active":true,"usgs":false}],"preferred":false,"id":852956,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Chen, Luzhen","contributorId":194706,"corporation":false,"usgs":false,"family":"Chen","given":"Luzhen","email":"","affiliations":[],"preferred":false,"id":852957,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70227654,"text":"70227654 - 2021 - Evidence for maternal style among adult female dolphins when sharing pectoral fin contacts with their calves","interactions":[],"lastModifiedDate":"2022-01-25T14:34:10.07208","indexId":"70227654","displayToPublicDate":"2021-02-01T08:28:49","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5550,"text":"Animal Behavior and Cognition","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for maternal style among adult female dolphins when sharing pectoral fin contacts with their calves","docAbstract":"Adult bottlenose dolphins share pectoral fin contacts (PFC) to manage their social relationships but less is known about how mothers share PFC with their calves. Using a dataset collected over 16 years, we analyzed how 10 matrilines, including three second generation female dolphins in a maternal role, used PFC with their pre-weaned calves. Mothers had different rates of initiation with their calves forming a continuum from those initiating few contacts (15%) to those initiating more (44%). For mothers with all-aged calves, the lateral side was contacted the most to start interactions with mothers contacting body parts at a similar rate. All mothers assumed the same posture regardless of their role as initiator or receiver, with horizontal the most prevalent posture. Two maternal styles were found for PFC: high and low use of PFC. Within the high PFC group, there was individual variation that was related to calf sex. Even though evidence of maternal style was confirmed in PFC exchanges between adult female dolphins and their calves, the number of PFC shared between these kin was only ~9% of all documented PFC contacts (N = 4,345) over 16 years, suggesting that other forms of tactile contact may be more important within the confines of the mother-offspring relationship in delphinids.
","language":"English","publisher":"Animal Behavior and Cognition","doi":"10.26451/abc.08.01.05.2021","usgsCitation":"Dudzinski, K.M., Ribic, C., Manitzas-Hill, H.M., and Bolton, T.T., 2021, Evidence for maternal style among adult female dolphins when sharing pectoral fin contacts with their calves: Animal Behavior and Cognition, v. 8, no. 1, p. 52-68, https://doi.org/10.26451/abc.08.01.05.2021.","productDescription":"17 p,","startPage":"52","endPage":"68","ipdsId":"IP-108344","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":453619,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.26451/abc.08.01.05.2021","text":"Publisher Index Page"},{"id":394819,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-02-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Dudzinski, Kathleen M.","contributorId":272125,"corporation":false,"usgs":false,"family":"Dudzinski","given":"Kathleen","email":"","middleInitial":"M.","affiliations":[{"id":56353,"text":"Dolphin Communication Project","active":true,"usgs":false}],"preferred":false,"id":831565,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ribic, Christine 0000-0003-2583-1778 caribic@usgs.gov","orcid":"https://orcid.org/0000-0003-2583-1778","contributorId":147952,"corporation":false,"usgs":true,"family":"Ribic","given":"Christine","email":"caribic@usgs.gov","affiliations":[{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":831564,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Manitzas-Hill, Heather M.","contributorId":272126,"corporation":false,"usgs":false,"family":"Manitzas-Hill","given":"Heather","email":"","middleInitial":"M.","affiliations":[{"id":56354,"text":"St. Mary's University","active":true,"usgs":false}],"preferred":false,"id":831566,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bolton, Teresa T.","contributorId":272127,"corporation":false,"usgs":false,"family":"Bolton","given":"Teresa","email":"","middleInitial":"T.","affiliations":[{"id":56355,"text":"Institute for Marine Sciences","active":true,"usgs":false}],"preferred":false,"id":831567,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70229121,"text":"70229121 - 2021 - Learning augmented methods for matching: Improving invasive species management and urban mobility","interactions":[],"lastModifiedDate":"2022-03-01T14:43:16.295732","indexId":"70229121","displayToPublicDate":"2021-02-01T08:24:39","publicationYear":"2021","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Learning augmented methods for matching: Improving invasive species management and urban mobility","docAbstract":"With the success of machine learning, integrating learned models into real-world systems has become a critical chal- lenge. Naively applying predictions to combinatorial opti- mization problems can incur high costs, which has motivated researchers to consider learning augmented algorithms that can make use of faulty or incomplete predictions. Inspired by two matching problems in computational sustainability where data are abundant, we consider the learning augmented min weight matching problem where some nodes are revealed\n \nonline while others are known a priori, e.g., by being pre- dicted by machine learning. We develop an algorithm that is able to make use of this extra information and provably im- proves upon pessimistic online algorithms. We evaluate our algorithm on two settings from computational sustainability\n– the coordination of opportunistic citizen scientists for inva- sive species management and the matching between taxis and riders under uncertain trip duration predictions. In both cases, we perform extensive experiments on real-world datasets and find that our method outperforms baselines, showing how learning augmented algorithms can reliably improve solu- tions for problems in computational sustainability","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the AAAI conference on artificial intelligence","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"AAAI conference on artificial intelligence","conferenceDate":"February 2-9, 2021","conferenceLocation":"Online","language":"English","publisher":"Association for the Advancement of Artificial Intelligence","usgsCitation":"Bjorck, J., Shi, Q., Brown-Lima, C., Dean, J., Fuller, A.K., and Gomes, C., 2021, Learning augmented methods for matching: Improving invasive species management and urban mobility, in Proceedings of the AAAI conference on artificial intelligence, v. 35, no. 17, Online, February 2-9, 2021, p. 14702-14710.","productDescription":"9 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York\",\"nation\":\"USA \"}}]}","volume":"35","issue":"17","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bjorck, Johan","contributorId":287218,"corporation":false,"usgs":false,"family":"Bjorck","given":"Johan","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":836569,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shi, Qinru","contributorId":269685,"corporation":false,"usgs":false,"family":"Shi","given":"Qinru","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":836570,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown-Lima, Carrie","contributorId":236893,"corporation":false,"usgs":false,"family":"Brown-Lima","given":"Carrie","email":"","affiliations":[],"preferred":false,"id":836572,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dean, Jennifer","contributorId":287223,"corporation":false,"usgs":false,"family":"Dean","given":"Jennifer","email":"","affiliations":[{"id":61506,"text":"New York Natural Heritage Program","active":true,"usgs":false}],"preferred":false,"id":836571,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":836568,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gomes, Carla","contributorId":274582,"corporation":false,"usgs":false,"family":"Gomes","given":"Carla","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":836574,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70230071,"text":"70230071 - 2021 - Applications of bistatic radar to volcano topography – A review of 10 years of TanDEM-X","interactions":[],"lastModifiedDate":"2022-03-28T13:24:28.710009","indexId":"70230071","displayToPublicDate":"2021-02-01T08:20:36","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1942,"text":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Applications of bistatic radar to volcano topography – A review of 10 years of TanDEM-X","docAbstract":"The TanDEM-X satellite mission has revolutionized DEM generation from spaceborne synthetic aperture radar. In addition to the primary objective of generating a consistent digital elevation model with global coverage and unprecedented accuracy, the mission has acquired time series of topographic data over several volcanoes, providing an excellent opportunity to test the use of this innovative dataset for volcano monitoring and research. In this article, we review the utilization of the single-pass TanDEM-X data for studying various kinds of volcanic activity, such as basaltic lava flows, the formation and destruction of lava domes and related pyroclastic density currents, and subsurface magma withdrawal and intrusion. We then consider the uses of these data for hazard assessment and forecasting. Our goal is to highlight the importance of timely and repeated topographic information in volcanology, and to suggest the development of future spaceborne bistatic synthetic aperture radar satellite missions, such as ESA's Earth Explorer 10 candidate mission, “Harmony.”
","language":"English","publisher":"Institute of Electrical and Electronics Engineers (IEEE)","doi":"10.1109/JSTARS.2021.3055653","usgsCitation":"Kubanek, J., Poland, M., and Biggs, J., 2021, Applications of bistatic radar to volcano topography – A review of 10 years of TanDEM-X: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 14, p. 3282-3302, https://doi.org/10.1109/JSTARS.2021.3055653.","productDescription":"21 p.","startPage":"3282","endPage":"3302","ipdsId":"IP-122045","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":453623,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1109/jstars.2021.3055653","text":"Publisher Index Page"},{"id":397687,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kubanek, Julia","contributorId":289336,"corporation":false,"usgs":false,"family":"Kubanek","given":"Julia","email":"","affiliations":[{"id":62103,"text":"ESTEC, European Space Agency","active":true,"usgs":false}],"preferred":false,"id":838944,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poland, Michael 0000-0001-5240-6123","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":49920,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":true,"id":838945,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Biggs, Juliet","contributorId":206389,"corporation":false,"usgs":false,"family":"Biggs","given":"Juliet","email":"","affiliations":[{"id":37322,"text":"University of Bristol","active":true,"usgs":false}],"preferred":false,"id":838946,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70218814,"text":"70218814 - 2021 - Extrinsically reinforced hybrid speciation within Holarctic ermine (Mustela spp.) produces an insular endemic","interactions":[],"lastModifiedDate":"2021-03-15T13:04:34.193849","indexId":"70218814","displayToPublicDate":"2021-02-01T07:59:31","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Extrinsically reinforced hybrid speciation within Holarctic ermine (Mustela spp.) produces an insular endemic","docAbstract":"Refugial isolation during glaciation is an established driver of speciation; however, the opposing role of interglacial population expansion, secondary contact, and gene flow on the diversification process remains less understood. The consequences of glacial cycling on diversity are complex and especially so for archipelago species, which experience dramatic fluctuations in connectivity in response to both lower sea levels during glacial events and increased fragmentation during glacial recession. We test whether extended refugial isolation has led to the divergence of genetically and morphologically distinct species within Holarctic ermine (Mustela erminea), a small cosmopolitan carnivore species that harbours 34 extant subspecies, 14 of which are insular endemics.
Holarctic.
We use genetic sequences (complete mitochondrial genomes, four nuclear genes) from >100 ermine (stoats) and geometric morphometric data for >200 individuals (27 of the 34 extant subspecies) from across their Holarctic range to provide an integrative perspective on diversification and endemism across this complex landscape. Multiple species delimitation methods (iBPP, bPTP) assessed congruence between morphometric and genetic data.
Our results support the recognition of at least three species within the M. erminea complex, coincident with three of four genetic clades, tied to diversification in separate glacial refugia. We found substantial geographic variation within each species, with geometric morphometric results largely consistent with historical infraspecific taxonomy.
Phylogeographic structure mirrors patterns of diversification in other Holarctic species, with a major Nearctic‐Palearctic split, but with greater intraspecific morphological diversity. Recognition of insular endemic species M. haidarum is consistent with a deep history of refugial persistence and highlights the urgency of mindful management of island populations along North America's North Pacific Coast. Significant environmental modification (e.g. industrial‐scale logging, mining) has been proposed for a number of these islands, which may elevate the risk of extinction of insular palaeoendemics.
","language":"English","publisher":"Wiley","doi":"10.1111/ddi.13234","usgsCitation":"Colella, J.P., Frederick, L., Talbot, S.L., and Cook, J., 2021, Extrinsically reinforced hybrid speciation within Holarctic ermine (Mustela spp.) produces an insular endemic: Diversity and Distributions, v. 27, no. 4, p. 747-762, https://doi.org/10.1111/ddi.13234.","productDescription":"16 p.","startPage":"747","endPage":"762","ipdsId":"IP-106752","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":487317,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.13234","text":"Publisher Index Page"},{"id":436524,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97INKCG","text":"USGS data release","linkHelpText":"Sequence Information from the Mitogenome and Four Nuclear Genes from Holarctic Ermine (Mustela spp.)"},{"id":384376,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Colella, Jocelyn P.","contributorId":190332,"corporation":false,"usgs":false,"family":"Colella","given":"Jocelyn","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":812151,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frederick, Lindsey","contributorId":255345,"corporation":false,"usgs":false,"family":"Frederick","given":"Lindsey","email":"","affiliations":[{"id":18859,"text":"Department of Biology and Museum of Southwestern Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":812152,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Talbot, Sandra L. 0000-0002-3312-7214 stalbot@usgs.gov","orcid":"https://orcid.org/0000-0002-3312-7214","contributorId":140512,"corporation":false,"usgs":true,"family":"Talbot","given":"Sandra","email":"stalbot@usgs.gov","middleInitial":"L.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":812153,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cook, Joe","contributorId":255346,"corporation":false,"usgs":false,"family":"Cook","given":"Joe","email":"","affiliations":[{"id":18859,"text":"Department of Biology and Museum of Southwestern Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":812154,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70222491,"text":"70222491 - 2021 - Time since burning and rainfall characteristics impact post-fire debris flow initiation and magnitude","interactions":[],"lastModifiedDate":"2021-07-30T13:00:46.620849","indexId":"70222491","displayToPublicDate":"2021-02-01T07:58:49","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9124,"text":"Environmental Engineering and Geology","active":true,"publicationSubtype":{"id":10}},"title":"Time since burning and rainfall characteristics impact post-fire debris flow initiation and magnitude","docAbstract":"The extreme heat from wildfire alters soil properties and incinerates vegetation, leading to changes in infiltration capacity, ground cover, soil erodibility, and rainfall interception. These changes promote elevated rates of runoff and sediment transport that increase the likelihood of runoff-generated debris flows. Debris flows are most common in the year immediately following wildfire, but temporal changes in the likelihood and magnitude of debris flows following wildfire are not well constrained. In this study, we combine measurements of soil-hydraulic properties with vegetation survey data and numerical modeling to understand how debris-flow threats are likely to change in steep, burned watersheds during the first 3 years of recovery. We focus on documenting recovery following the 2016 Fish Fire in the San Gabriel Mountains, California, and demonstrate how a numerical model can be used to predict temporal changes in debris-flow properties and initiation thresholds. Numerical modeling suggests that the 15-minute intensity-duration (ID) threshold for debris flows in post-fire year 1 can vary from 15 to 30 mm/hr, depending on how rainfall is temporally distributed within a storm. Simulations further demonstrate that expected debris-flow volumes would be reduced by more than a factor of three following 1 year of recovery and that the 15-minute rainfall ID threshold would increase from 15 to 30 mm/hr to greater than 60 mm/hr by post-fire year 3. These results provide constraints on debris-flow thresholds within the San Gabriel Mountains and highlight the importance of considering local rainfall characteristics when using numerical models to assess debris-flow and flood potential.
Although many of the algorithms now considered to be machine learning algorithms (MLAs) have existed for nearly a century (e.g., Rosenblatt 1958), interest in MLAs has recently increased exponentially for solving data-driven problems across a variety of fields due to the expanded availability of large, complex datasets that may be difficult to interrogate using other methods, increases in computing power, and a growing library of easily implemented machine learning tools. While MLAs are often similar to statistical methods, there are key differences in the approach to problem solving. Namely, statistical methods are more concerned with generating informative models from “long” data (i.e., many more observations than explanatory variables), whereas MLAs are typically concerned with generating accurate predictions from “wide” data (i.e., a large number of variables with relatively fewer observations, Bzdok et al. 2018). In hydrogeologic studies, such wide datasets may be available from boreholes, where various types of geophysical, geochemical, and lithological information may exist. Borehole datasets are therefore a tempting target for MLAs to reveal hidden relations among gathered data and parameters of interest (e.g., contaminant concentration), and as a method of parameter reduction (e.g., reduce costs by collecting fewer datasets).
","language":"English","publisher":"Wiley","doi":"10.1111/gwat.13081","usgsCitation":"Terry, N., Johnson, C., Day-Lewis, F., Parker, B.L., and Slater, L., 2021, Beware of spatial autocorrelation when applying machine learning algorithms to borehole geophysical logs: Groundwater, v. 59, no. 3, p. 315-319, https://doi.org/10.1111/gwat.13081.","productDescription":"5 p.","startPage":"315","endPage":"319","ipdsId":"IP-124633","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":436525,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TN8EC4","text":"USGS data release","linkHelpText":"Selected borehole geophysical logs from three contaminant sites in California, Wisconsin, and New Jersey"},{"id":386259,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-02-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Terry, Neil C. 0000-0002-3965-340X nterry@usgs.gov","orcid":"https://orcid.org/0000-0002-3965-340X","contributorId":192554,"corporation":false,"usgs":true,"family":"Terry","given":"Neil","email":"nterry@usgs.gov","middleInitial":"C.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":817055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Carole D. 0000-0001-6941-1578","orcid":"https://orcid.org/0000-0001-6941-1578","contributorId":245365,"corporation":false,"usgs":true,"family":"Johnson","given":"Carole D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":817056,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day-Lewis, Frederick 0000-0003-3526-886X","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":216359,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":817057,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parker, Beth L.","contributorId":209230,"corporation":false,"usgs":false,"family":"Parker","given":"Beth","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":817058,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Slater, Lee D. 0000-0003-0292-746X","orcid":"https://orcid.org/0000-0003-0292-746X","contributorId":192555,"corporation":false,"usgs":false,"family":"Slater","given":"Lee D.","affiliations":[],"preferred":false,"id":817059,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70222109,"text":"70222109 - 2021 - Evaluation of a satellite-based cyanobacteria bloom detection algorithm using field-measured microcystin data","interactions":[],"lastModifiedDate":"2021-07-20T12:06:06.543146","indexId":"70222109","displayToPublicDate":"2021-01-30T07:03:38","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9102,"text":"Science for the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of a satellite-based cyanobacteria bloom detection algorithm using field-measured microcystin data","docAbstract":"Widespread occurrence of cyanobacterial harmful algal blooms (CyanoHABs) and the associated health effects from potential cyanotoxin exposure has led to a need for systematic and frequent screening and monitoring of lakes that are used as recreational and drinking water sources. Remote sensing-based methods are often used for synoptic and frequent monitoring of CyanoHABs. In this study, one such algorithm – a sub-component of the Cyanobacteria Index called the CIcyano, was validated for effectiveness in identifying lakes with toxin-producing blooms in 11 states across the contiguous United States over 11 bloom seasons (2005–2011, 2016–2019). A matchup data set was created using satellite data from MEdium Resolution Imaging Spectrometer (MERIS) and Ocean Land Colour Imager (OLCI), and nearshore, field-measured Microcystins (MCs) data as a proxy of CyanoHAB presence. While the satellite sensors cannot detect toxins, MCs are used as the indicator of health risk, and as a confirmation of cyanoHAB presence. MCs are also the most common laboratory measurement made by managers during CyanoHABs. Algorithm performance was evaluated by its ability to detect CyanoHAB ‘Presence’ or ‘Absence’, where the bloom is confirmed by the presence of the MCs. With same-day matchups, the overall accuracy of CyanoHAB detection was found to be 84% with precision and recall of 87 and 90% for bloom detection. Overall accuracy was expected to be between 77% and 87% (95% confidence) based on a bootstrapping simulation. These findings demonstrate that CIcyano has utility for synoptic and routine monitoring of potentially toxic cyanoHABs in lakes across the United States.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2021.145462","usgsCitation":"Mishra, S., Stumpf, R.P., Schaeffer, B., Werdell, P.J., Loftin, K.A., and Meredith, A., 2021, Evaluation of a satellite-based cyanobacteria bloom detection algorithm using field-measured microcystin data: Science for the Total Environment, v. 774, 145462, 12 p., https://doi.org/10.1016/j.scitotenv.2021.145462.","productDescription":"145462, 12 p.","ipdsId":"IP-124532","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":453647,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2021.145462","text":"Publisher Index Page"},{"id":387288,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"774","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mishra, Sachidananda 0000-0001-6613-3103","orcid":"https://orcid.org/0000-0001-6613-3103","contributorId":222356,"corporation":false,"usgs":false,"family":"Mishra","given":"Sachidananda","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":819557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stumpf, Richard P. 0000-0001-5531-6860","orcid":"https://orcid.org/0000-0001-5531-6860","contributorId":222357,"corporation":false,"usgs":false,"family":"Stumpf","given":"Richard","email":"","middleInitial":"P.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":819558,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schaeffer, Blake 0000-0001-9794-3977","orcid":"https://orcid.org/0000-0001-9794-3977","contributorId":245603,"corporation":false,"usgs":false,"family":"Schaeffer","given":"Blake","email":"","affiliations":[{"id":37230,"text":"EPA","active":true,"usgs":false}],"preferred":false,"id":819559,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Werdell, P. 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Datasets collected during this time span are for intervals of approximately 5 years that coincide with the U.S. Department of Agriculture’s census years. Nutrients from fertilizer for 1950–2012 are exactly those previously described in U.S. Geological Survey (USGS) reports and datasets; however, estimates of nutrient masses from fertilizer applied in 2017 are described here as a new product modeled from 11 predictor variables for 2017 including county-level fertilizer expenditures, land use, and acres of fertilized land. Fertilizer-based estimates are provided for both farm and nonfarm (urban) usage. The estimates of nutrients from manure for all years were generated anew by using methods and formulas described in previous USGS reports but adjusted to account for historical changes in the annual averages of animal weights. The tabular data are available as an accompanying data release.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201153","usgsCitation":"Falcone, J.A., 2021, Estimates of county-level nitrogen and phosphorus from fertilizer and manure from 1950 through 2017 in the conterminous United States: U.S. Geological Survey Open-File Report 2020–1153, 20 p., https://doi.org/10.3133/ofr20201153.","productDescription":"Report: vii, 20 p.; Data Release","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-117936","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":382790,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1153/coverthb.jpg"},{"id":382791,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1153/ofr20201153.pdf","text":"Report","size":"5.95 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 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Water Mission Area
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192
Selenium is a water-quality constituent of concern for aquatic ecosystems in the lower Gunnison River Basin. Selenium is derived from bedrock of the Mancos Shale and is mobilized and transported to groundwater and surface water by application of irrigation water. Although it is recognized that groundwater contributes an appreciable amount of selenium to surface water, few studies have addressed interactions between the two. The U.S. Geological Survey in cooperation with the Colorado Water Conservation Board conducted a study during 2017–19 to characterize the quality and quantity of groundwater discharging to an agricultural drainage near Delta, Colorado, locally known as Sunflower Drain.
Water quality in the study area is characterized by high dissolved solids with elevated concentrations of selenium and nitrate resulting from dissolution of soluble salts in the Mancos Shale. Selenium concentrations have decreased by 50 percent since the early 2000s, possibly in response to irrigation system improvements. Stable water isotopes indicate streamflow is dominated by canal water during the irrigation season (April to October) and, during the nonirrigation season (November to March), is dominated by groundwater that has undergone some degree of evaporation. Pesticide and pharmaceutical compounds were infrequently detected, and results indicate they were derived from sources outside the study area such that they do not appear to be useful as tracers of groundwater sources. Stable isotopes of nitrate indicate that nitrate originates from the Mancos Shale, and the isotopic composition is enriched by denitrification in the groundwater system. Using a mass-balance approach, estimated groundwater discharge rates to Sunflower Drain ranged from 0.15 to 0.27 cubic feet per second per mile with one losing reach identified. Selenium, sulfate, and nitrate concentrations in groundwater estimated by mass-balance calculations were similar to concentrations measured in the Poly 17 observation well, located in a largely irrigated area in east tributary. One tributary reach had higher concentrations of selenium, sulfate, and nitrate likely reflecting localized inputs of more concentrated groundwater, similar to the concentrations in the Poly 7 observation well, which is downgradient from a residential area in the west tributary.
Three pilot studies were conducted, including fiber optic distributed temperature sensing to detect groundwater discharge zones in the stream channel, a passive seismic technique to estimate depth to bedrock, and use of radon-222 as a geochemical tracer of groundwater discharge. All three techniques show promise as additional approaches for investigating groundwater discharge surface-water systems in irrigated drainage areas on Mancos Shale.
The factors that affect groundwater movement mainly include when and where irrigation water is transported and applied, and the distribution of bedrock of the Mancos Shale and overlying alluvial deposits. The average groundwater recharge rate for the study area was estimated at 8.1 inches per year, based on mass balance calculations from synoptic survey data. Along the western tributary of Sunflower Drain, there was evidence that spills from the East Canal may recharge the groundwater aquifer adjacent to the stream channel. Groundwater movement to the stream channel may be controlled by the topography of the alluvial/bedrock interface or focused along human-made features, such as tile drains and ditches constructed around irrigated fields. On larger scales, the top of bedrock was also important, creating a topographic constriction that caused a zone of groundwater discharge. The groundwater system is complex, and further study could better define the system, possibly through application of a groundwater flow model and more extensive studies using some of the exploratory methods evaluated in this study.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20205132","collaboration":"Prepared in cooperation with Colorado Water Conservation Board","usgsCitation":"Mast, M.A., 2021, Characterization of groundwater quality and discharge with emphasis on selenium in an irrigated agricultural drainage near Delta, Colorado, 2017–19: U.S. Geological Survey Scientific Investigations Report 2020–5132, 34 p., https://doi.org/10.3133/sir20205132.","productDescription":"Report: vi, 34 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-119514","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":382809,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LKYX9H","text":"USGS data release","linkHelpText":"Near-surface geophysical data collected in the Sunflower Drain study area near Delta, Colorado, March 2018"},{"id":382805,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5132/coverthb.jpg"},{"id":382806,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5132/sir20205132.pdf","text":"Report","size":"5.79 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5132"}],"country":"United States","state":"Colorado","city":"Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.21945190429688,\n 38.638327308061875\n ],\n [\n -107.97019958496094,\n 38.638327308061875\n ],\n [\n -107.97019958496094,\n 38.82205601494022\n ],\n [\n -108.21945190429688,\n 38.82205601494022\n ],\n [\n -108.21945190429688,\n 38.638327308061875\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, MS-415
Denver, CO 80225
In this study, we develop urban ecosystem accounts in the U.S., using the System of Environmental-Economic Accounting Experimental Ecosystem Accounting (SEEA EEA) framework. Most ecosystem accounts focus on regional and national scales, which are appropriate for many ecosystem services. However, ecosystems provide substantial services in cities, improving quality of life and contributing to resiliency for substantial parts of the population. Our models estimate energy savings for indoor cooling resulting from heat mitigated by trees and rainfall intercepted by trees. Both models cover major cities in the contiguous U.S. and report the results through physical supply and use tables for multiple accounting periods (2011 and 2016). Using conservative assumptions, urban trees provide substantial heat mitigation (4,098 and 4,229 GWh, valued at $523 and $539 million in 2011 and 2016, respectively) and rainfall interception (2,422 and 2,627 million m3, valued at $434 and $425 million for 2011 and 2016, respectively). Interannual differences largely reflect variations in weather patterns. Our work shows how Earth observation data can support urban ecosystem accounting. We provide model code within a public repository to facilitate model runs elsewhere, enabling the SEEA EEA and Earth observation user communities to reuse our models and provide feedback for improvement.
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