This study assesses existing intensity prediction equations (IPEs) for small unspecified magnitude (M ≤3.5) earthquakes at short hypocentral distances (Dh) and explores such earthquakes’ contribution to the felt shaking hazard. In particular, we consider IPEs by Atkinson and Wald (2007) and Atkinson et al. (2014), and evaluate their performance based on “Did You Feel It” (DYFI) reports and recorded peak ground velocities (PGVs) in the central United States. Both IPEs were developed based on DYFI reports in the central and eastern United States with moment magnitudes above Mw 3.0. DYFI reports are often used as the ground truth when evaluating and developing IPEs, but they could be less reliable when there are limited responses for small‐magnitude earthquakes. We first compare the DYFI reports with intensities interpolated from recorded PGVs. Results suggest a minimal discrepancy between the two when the intensity is large enough to be felt (i.e., M >2 and Dh<15 km). We then compare intensities from 31,617 DYFI reports of 3049 earthquakes with the two IPEs. Results suggest that both the IPEs match well with observed intensities for 2.0< M <3.0 and Dh<10 km, but the IPE by Atkinson et al. (2014) matches better for larger distances. We also observe that intensities from DYFI reports attenuate faster compared with the two IPEs, especially for distances greater than 10 km. We then group DYFI reports by inferred VS30 as a proxy for site amplification effects. We observe that intensities at sites with VS30 around 300 m/s are consistently higher than at sites with VS30 around 700 m/s and are also closer to the two IPEs. Finally, we conduct hazard disaggregation for earthquakes at close distances (Dh=7.5 km) using the observed records. Results suggest that earthquakes with magnitudes below M 3.0 contribute more than 40% to the occurrence of felt shaking.
No abstract available.
","language":"English","publisher":"American Association of Petroleum Geologists","usgsCitation":"Birdwell, J.E., 2022, What’s new in energy minerals: AAPG Explorer, no. November 2021, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-134207","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":401538,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":401518,"type":{"id":15,"text":"Index Page"},"url":"https://explorer.aapg.org/story/articleid/61819/whats-new-in-energy-minerals"}],"issue":"November 2021","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":844051,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70228802,"text":"70228802 - 2022 - Natural inactivation of MS2, poliovirus type 1 and Cryptosporidium parvum in an anaerobic and reduced aquifer","interactions":[],"lastModifiedDate":"2022-02-22T13:16:37.319102","indexId":"70228802","displayToPublicDate":"2021-11-01T07:13:43","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2169,"text":"Journal of Applied Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Natural inactivation of MS2, poliovirus type 1 and Cryptosporidium parvum in an anaerobic and reduced aquifer","docAbstract":"The study of microbial inactivation rates in aquifer systems has most often been determined in aerobic and oxidized systems. This study examined the inactivation (i.e. loss of infectivity) of MS2, poliovirus type 1 (PV1) and Cryptosporidium parvum in an anaerobic and reduced groundwater system that has been identified as storage zones for aquifer storage and recovery (ASR) facilities.
Anaerobic and reduced (ORP < −250 mV) groundwater from an artesian well was diverted to an above-ground, flow-through mesocosm that contained diffusion chambers filled with MS2, PV1 or Cryptosporidium parvum. The respective infectivity assays were performed on microorganisms recovered from the diffusion chambers during 30- to 58-day experiments. The net reduction in infectivity was 5.73 log10 over 30 days for MS2, 5.00 log10 over 58 days for PV1 and 4.07 log10 over 37 days for C. parvum. The best fit inactivation model for PV1 was the log-linear model and the Weibull model for MS2 and C. parvum, with respective inactivation rates (95% confidence interval) of 0.19 (0.17–0.21) log10 day−1, 0.31 (0.19–0.89) log10 day−1 and 0.20 (0.14–0.37) log10 day−1.
The groundwater geochemical conditions in this aquifer enhanced the inactivation of MS2, PV1, and C. parvum at rates approximately 2.0–5.3-fold, 1.2–17.0-fold, and 4.5–5.6-fold greater, respectively, than those from published studies that used diffusion chambers in aerobic-to-anoxic groundwater systems, with positive redox potentials.
Geochemical conditions like those in the aquifer zone in this study can naturally and significantly reduce concentrations of microbial indicators and pathogens of human health concern in injected surface water. Appropriate storage times for injected surface water could complement above-ground engineered processes for microorganism removal and inactivation (e.g. filtration, disinfection) by naturally increasing overall microorganism log-inactivation rates of ASR facilities.
","language":"English","publisher":"Wiley","doi":"10.1111/jam.15349","usgsCitation":"Lisle, J.T., and Lukasic, G., 2022, Natural inactivation of MS2, poliovirus type 1 and Cryptosporidium parvum in an anaerobic and reduced aquifer: Journal of Applied Microbiology, v. 132, no. 3, p. 2464-2474, https://doi.org/10.1111/jam.15349.","productDescription":"11 p.","startPage":"2464","endPage":"2474","ipdsId":"IP-131012","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":396232,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"132","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-03-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Lisle, John T. 0000-0002-5447-2092 jlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-5447-2092","contributorId":2944,"corporation":false,"usgs":true,"family":"Lisle","given":"John","email":"jlisle@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":835536,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lukasic, Geroge","contributorId":279834,"corporation":false,"usgs":false,"family":"Lukasic","given":"Geroge","email":"","affiliations":[{"id":57372,"text":"BCS Laboratories, Inc., Gainesville, FL","active":true,"usgs":false}],"preferred":false,"id":835537,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70226137,"text":"70226137 - 2022 - Tree mortality response to drought-density interactions suggests opportunities to enhance drought resistance","interactions":[],"lastModifiedDate":"2022-02-15T16:08:05.671364","indexId":"70226137","displayToPublicDate":"2021-11-01T06:53:41","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9913,"text":"Journal of Applied Ecology.","active":true,"publicationSubtype":{"id":10}},"title":"Tree mortality response to drought-density interactions suggests opportunities to enhance drought resistance","docAbstract":"The future of dry forests around the world is uncertain given predictions that rising temperatures and enhanced aridity will increase drought-induced tree mortality. Using forest management and ecological restoration to reduce density and competition for water offers one of the few pathways that forests managers can potentially minimize drought-induced tree mortality. Competition for water during drought leads to elevated tree mortality in dense stands, although the influence of density on heat-induced stress, and the durations of hot or dry conditions that most impact mortality, remain unclear.
Understanding how competition interacts with hot-drought stress is essential to recognize how, where, and how much reducing density can help sustain dry forests in a rapidly changing world. Here, we integrated repeat measurements of 28,881 ponderosa pine trees across the western US (2000-2017) with soil moisture estimates from a water balance model to examine how annual mortality responds to competition, temperature and soil moisture conditions.
Tree mortality responded most strongly to basal area, and was elevated in places with high mean temperatures, unusually hot 7-year high temperature anomalies, and unusually dry 8-year low soil moisture anomalies. Mortality was also lower in places that experienced unusually wet 3-year soil moisture anomalies between measurements. Importantly, we found that basal area interacts with temperature and soil moisture, exacerbating mortality during times of stress imposed by high temperature or low moisture.
Synthesis and Applications: Our results imply that a 50% reduction in forest basal area could reduce drought-driven tree mortality by 20-80%. The largest impacts of density reduction are seen in areas with high current basal area and places that experience high temperatures and/or severe multiyear droughts. These interactions between competition and drought are critical to understand past and future patterns of tree mortality in the context of climate change, and provide information for resource managers seeking to enhance dry forest drought resistance.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.14073","usgsCitation":"Bradford, J., Shriver, R.K., Robles, M.D., McCauley, L., Andrews, C.M., Crimmins, M.A., and Bell, D.M., 2022, Tree mortality response to drought-density interactions suggests opportunities to enhance drought resistance: Journal of Applied Ecology., v. 59, no. 2, p. 549-559, https://doi.org/10.1111/1365-2664.14073.","productDescription":"11 p.","startPage":"549","endPage":"559","ipdsId":"IP-126821","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":449572,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.14073","text":"Publisher Index Page"},{"id":436042,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92HBML8","text":"USGS data release","linkHelpText":"Estimated tree mortality, basal area, climate, and drought conditions for ponderosa pine in forest inventory plots across the western U.S."},{"id":391609,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-11-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":826597,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shriver, Robert K 0000-0002-4590-4834","orcid":"https://orcid.org/0000-0002-4590-4834","contributorId":222834,"corporation":false,"usgs":false,"family":"Shriver","given":"Robert","email":"","middleInitial":"K","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":826598,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robles, Marcos D.","contributorId":244893,"corporation":false,"usgs":false,"family":"Robles","given":"Marcos","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":826599,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCauley, Lisa A","contributorId":268774,"corporation":false,"usgs":false,"family":"McCauley","given":"Lisa A","affiliations":[{"id":55658,"text":"The Nature Conservancy, Center for Science and Public Policy, 1510 E Ft Lowell Road, Tucson, AZ","active":true,"usgs":false}],"preferred":false,"id":826600,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Andrews, Caitlin M. 0000-0003-4593-1071 candrews@usgs.gov","orcid":"https://orcid.org/0000-0003-4593-1071","contributorId":192985,"corporation":false,"usgs":true,"family":"Andrews","given":"Caitlin","email":"candrews@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":826601,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Crimmins, Michael A.","contributorId":178238,"corporation":false,"usgs":false,"family":"Crimmins","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":826602,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bell, David M.","contributorId":191003,"corporation":false,"usgs":false,"family":"Bell","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":826603,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70225665,"text":"70225665 - 2022 - Selective host attachment by Ixodes scapularis (Acari: Ixodidae): Tick-lizard associations in the southeastern United States","interactions":[],"lastModifiedDate":"2022-01-25T17:07:07.479062","indexId":"70225665","displayToPublicDate":"2021-10-29T09:06:09","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2385,"text":"Journal of Medical Entomology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Selective host attachment by Ixodes scapularis (Acari: Ixodidae): Tick-lizard associations in the southeastern United States","title":"Selective host attachment by Ixodes scapularis (Acari: Ixodidae): Tick-lizard associations in the southeastern United States","docAbstract":"Questing behavior and host associations of immature blacklegged ticks, Ixodes scapularis Say, from the southeastern United States are known to differ from those in the north. To elucidate these relationships we describe host associations of larval and nymphal I. scapularis from 8 lizard species sampled from 5 sites in the southeastern U.S. Larvae and nymphs attached in greater numbers to larger lizards than to smaller lizards, with differential levels of attachment to different lizard species. Blacklegged ticks are generally attached to skinks of the genus Plestiodon in greater numbers per unit lizard weight than to anoles (Anolis) or fence lizards (Sceloporus). The broad-headed skink, Plestiodon laticeps (Schneider), was a particularly important host for immature I. scapularis in our study and in several previous studies of tick–host associations in the southeast. Blacklegged ticks show selective attachment to Plestiodon lizard hosts in the southeast, but whether this results from behavioral host preferences or from ecological factors such as timing or microhabitat distributions of tick questing and host activity remains to be determined.
","language":"English","publisher":"Entomological Society of America","doi":"10.1093/jme/tjab181","usgsCitation":"Ginsberg, H., Hickling, G.J., Pang, G., Tsao, J.I., Fitzgerald, M., Ross, B., Rulison, E.L., and Burke, R.L., 2022, Selective host attachment by Ixodes scapularis (Acari: Ixodidae): Tick-lizard associations in the southeastern United States: Journal of Medical Entomology, v. 59, no. 1, p. 267-272, https://doi.org/10.1093/jme/tjab181.","productDescription":"6 p.","startPage":"267","endPage":"272","ipdsId":"IP-129930","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":490082,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.uri.edu/pls_facpubs/133","text":"External Repository"},{"id":391270,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida, North Carolina, South Carolina, Tennessee","otherGeospatial":"Arnold Air Force Base, Mattamuskeet National Wildlife Refuge, Oakmulgee Talladega National Forest, Savannah River Site, Tall Timbers Research Station","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.837158203125,\n 33.109373145334544\n ],\n [\n -81.46568298339844,\n 33.109373145334544\n ],\n [\n -81.46568298339844,\n 33.38099943104024\n ],\n [\n -81.837158203125,\n 33.38099943104024\n ],\n [\n -81.837158203125,\n 33.109373145334544\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.33438110351562,\n 35.431582013221266\n ],\n [\n -76.0308837890625,\n 35.431582013221266\n ],\n [\n -76.0308837890625,\n 35.58808520476323\n ],\n [\n -76.33438110351562,\n 35.58808520476323\n ],\n [\n 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],\n [\n -84.17415618896484,\n 30.63850281977284\n ],\n [\n -84.17415618896484,\n 30.679701616967396\n ],\n [\n -84.23320770263672,\n 30.679701616967396\n ],\n [\n -84.23320770263672,\n 30.63850281977284\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"59","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-10-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Ginsberg, Howard 0000-0002-4933-2466","orcid":"https://orcid.org/0000-0002-4933-2466","contributorId":15473,"corporation":false,"usgs":true,"family":"Ginsberg","given":"Howard","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":826106,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hickling, Graham J.","contributorId":140903,"corporation":false,"usgs":false,"family":"Hickling","given":"Graham","email":"","middleInitial":"J.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":826107,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pang, Genevieve","contributorId":221488,"corporation":false,"usgs":false,"family":"Pang","given":"Genevieve","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":826110,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tsao, Jean I.","contributorId":140905,"corporation":false,"usgs":false,"family":"Tsao","given":"Jean","email":"","middleInitial":"I.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":826108,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fitzgerald, Meghan","contributorId":268188,"corporation":false,"usgs":false,"family":"Fitzgerald","given":"Meghan","email":"","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":826109,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ross, Breann","contributorId":248548,"corporation":false,"usgs":false,"family":"Ross","given":"Breann","email":"","affiliations":[{"id":6921,"text":"Hofstra University","active":true,"usgs":false}],"preferred":false,"id":826111,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rulison, Eric L.","contributorId":87478,"corporation":false,"usgs":false,"family":"Rulison","given":"Eric","email":"","middleInitial":"L.","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":826112,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Burke, Russell L.","contributorId":127374,"corporation":false,"usgs":false,"family":"Burke","given":"Russell","email":"","middleInitial":"L.","affiliations":[{"id":6921,"text":"Hofstra University","active":true,"usgs":false}],"preferred":false,"id":826113,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70262164,"text":"70262164 - 2022 - Bankfull shear velocity predicts embeddedness and silt cover in gravel streambeds","interactions":[],"lastModifiedDate":"2025-01-15T15:42:12.481821","indexId":"70262164","displayToPublicDate":"2021-10-28T09:33:57","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Bankfull shear velocity predicts embeddedness and silt cover in gravel streambeds","docAbstract":"Excess fine sediment (<2 mm) deposition on gravel streambeds can degrade habitat quality for stream biota. Two measures of fine sediment deposition include embeddedness and silt cover (<62.5 μm). Embeddedness measures fine sediment in interstitial pore spaces, whereas silt cover, primarily deposited during low flows, measures fine sediment draped on the streambed's surface. Here, we demonstrate that a baseline level of embeddedness and a maximum value of silt cover can be predicted from bankfull shear velocity, which can be estimated from river channel and streamflow characteristics, independently of knowing the sediment supply. We derive an equation for bankfull shear velocity that only requires knowing bankfull flow, channel width, and channel slope, which can be readily obtained in the United States from freely available, remotely sensed data. We apply this methodology to data collected at 30 sites in the Piedmont region of Virginia and North Carolina. This work is an important step in developing statistical models of stream ecosystems in which geophysical variables can predict embeddedness and silt cover, which commonly limit biotic assemblages.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.3878","usgsCitation":"Czuba, J., Hirschler, M., Pratt, E., Villamagna, A., and Angermeier, P., 2022, Bankfull shear velocity predicts embeddedness and silt cover in gravel streambeds: River Research and Applications, v. 38, no. 1, p. 59-68, https://doi.org/10.1002/rra.3878.","productDescription":"10 p.","startPage":"59","endPage":"68","ipdsId":"IP-127933","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467213,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10919/111948","text":"External Repository"},{"id":466418,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.6,\n 37.1\n ],\n [\n -80.6,\n 36.25\n ],\n [\n -79.5,\n 36.25\n ],\n [\n -79.5,\n 37.1\n ],\n [\n -80.6,\n 37.1\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"38","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-10-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Czuba, Jonathan A.","contributorId":348255,"corporation":false,"usgs":false,"family":"Czuba","given":"Jonathan A.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":923309,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hirschler, Mallory","contributorId":348256,"corporation":false,"usgs":false,"family":"Hirschler","given":"Mallory","affiliations":[{"id":35056,"text":"Plymouth State University","active":true,"usgs":false}],"preferred":false,"id":923310,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pratt, Elizabeth A.","contributorId":348257,"corporation":false,"usgs":false,"family":"Pratt","given":"Elizabeth A.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":923311,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Villamagna, Amy","contributorId":348258,"corporation":false,"usgs":false,"family":"Villamagna","given":"Amy","affiliations":[{"id":35056,"text":"Plymouth State University","active":true,"usgs":false}],"preferred":false,"id":923312,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Angermeier, Paul L. 0000-0003-2864-170X","orcid":"https://orcid.org/0000-0003-2864-170X","contributorId":204519,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":923308,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70225740,"text":"70225740 - 2022 - Techniques to improve ecological interpretability of black box machine learning models","interactions":[],"lastModifiedDate":"2023-03-24T16:57:11.274452","indexId":"70225740","displayToPublicDate":"2021-10-28T08:45:07","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2151,"text":"Journal of Agricultural, Biological, and Environmental Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Techniques to improve ecological interpretability of black box machine learning models","docAbstract":"Statistical modeling of ecological data is often faced with a large number of variables as well as possible nonlinear relationships and higher-order interaction effects. Gradient boosted trees (GBT) have been successful in addressing these issues and have shown a good predictive performance in modeling nonlinear relationships, in particular in classification settings with a categorical response variable. They also tend to be robust against outliers. However, their black-box nature makes it difficult to interpret these models. We introduce several recently developed statistical tools to the environmental research community in order to advance interpretation of these black-box models. To analyze the properties of the tools, we applied gradient boosted trees to investigate biological health of streams within the contiguous USA, as measured by a benthic macroinvertebrate biotic index. Based on these data and a simulation study, we demonstrate the advantages and limitations of partial dependence plots (PDP), individual conditional expectation (ICE) curves and accumulated local effects (ALE) in their ability to identify covariate–response relationships. Additionally, interaction effects were quantified according to interaction strength (IAS) and Friedman’s
There is an urgent need for near-term predictions of ecological restoration outcomes despite imperfect knowledge of ecosystems. Restoration outcomes are always uncertain but integrating Bayesian modeling into the process of adaptive management allows researchers and practitioners to explicitly incorporate prior knowledge of ecosystems into future predictions. Although barriers exist, employing qualitative expert knowledge and previous case studies can help narrow the range of uncertainty in forecasts. Software and processes that allow for repeatable methodologies can help bridge the existing gap between theory and application of Bayesian methods in adaptive management.
","language":"English","publisher":"Wiley","doi":"10.1111/rec.13596","usgsCitation":"Applestein, C., Caughlin, T.T., and Germino, M., 2022, Bayesian modeling can facilitate adaptive management in restoration: Restoration Ecology, v. 30, no. 4, e13596, 4 p., https://doi.org/10.1111/rec.13596.","productDescription":"e13596, 4 p.","ipdsId":"IP-132611","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":401973,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-11-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Applestein, Cara 0000-0002-7923-8526","orcid":"https://orcid.org/0000-0002-7923-8526","contributorId":218010,"corporation":false,"usgs":true,"family":"Applestein","given":"Cara","email":"","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":844466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caughlin, T. Trevor","contributorId":218133,"corporation":false,"usgs":false,"family":"Caughlin","given":"T.","email":"","middleInitial":"Trevor","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":844467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Germino, Matthew J. 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":251901,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":844440,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70254666,"text":"70254666 - 2022 - Recursive Bayesian computation facilitates adaptive optimal design in ecological studies","interactions":[],"lastModifiedDate":"2024-06-06T12:15:39.819355","indexId":"70254666","displayToPublicDate":"2021-10-28T07:13:40","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Recursive Bayesian computation facilitates adaptive optimal design in ecological studies","docAbstract":"Optimal design procedures provide a framework to leverage the learning generated by ecological models to flexibly and efficiently deploy future monitoring efforts. At the same time, Bayesian hierarchical models have become widespread in ecology and offer a rich set of tools for ecological learning and inference. However, coupling these methods with an optimal design framework can become computationally intractable. Recursive Bayesian computation offers a way to substantially reduce this computational burden, making optimal design accessible for modern Bayesian ecological models. We demonstrate the application of so-called prior-proposal recursive Bayes to optimal design using a simulated data binary regression and the real-world example of monitoring and modeling sea otters in Glacier Bay, Alaska. These examples highlight the computational gains offered by recursive Bayesian methods and the tighter fusion of monitoring and science that those computational gains enable.
Trees in the urban right-of-way areas have increasingly been considered part of a suite of green infrastructure practices used to manage stormwater runoff. A paired-catchment experimental design (with street tree removal as the treatment) was used to assess how street trees affect major hydrologic fluxes in a typical residential stormwater collection and conveyance network. The treatment consisted of removing 29 green ash (Fraxinus pennsylvanica) and two Norway maple (Acer platanoides) street trees from a medium-density residential area. Tree removal resulted in an estimated 198 m3 increase in surface runoff volume compared to the control catchment over the course of the study. This increase accounted for 4% of the total measured runoff after trees were removed. Despite significant changes to runoff volume (p ≤ 0.10), peak discharge was generally not affected by tree removal. On a per-tree basis, 66 L of rainfall per m2 of canopy was lost that would have otherwise been intercepted and stored. Runoff volume reduction benefit was estimated at 6376 L per tree. These values experimentally document per-capita retention services rendered by trees over a growing season with 42 storm events. These values are within the range reported by previous studies, which largely relied on simulation. This study provides catchment scale evidence that reducing stormwater runoff is one of many ecosystem services provided by street trees. This study quantifies these services, based on site conditions and a mix of deciduous species, and serves to improve our ability to account for this important yet otherwise poorly constrained hydrologic service. Engineers, city planners, urban foresters, and others involved with the management of urban stormwater can use this information to better understand tradeoffs involved in using green infrastructure to reduce urban runoff burden.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2021.151296","usgsCitation":"Selbig, W.R., Loheid, S., Schuster, W., Scharenbroch, B.C., Coville, R.C., Kruegler, J., Avery, W., Haefner, R.J., and Nowak, D., 2022, Quantifying the stormwater runoff volume reduction benefits of urban street tree canopy: Science of the Total Environment, v. 806, no. 3, 151296, 9 p., https://doi.org/10.1016/j.scitotenv.2021.151296.","productDescription":"151296, 9 p.","ipdsId":"IP-131647","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":436043,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JJHBVW","text":"USGS data release","linkHelpText":"Storm event data in the control and test catchments during the calibration and treatment phase of a urban tree canopy study in Fond du Lac, Wisconsin, from May 2018 through September 2020: U.S. Geological Survey data release"},{"id":392624,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","city":"Fond du Lac","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.516845703125,\n 43.70163689691259\n ],\n [\n -88.34930419921875,\n 43.70163689691259\n ],\n [\n -88.34930419921875,\n 43.85235516793534\n ],\n [\n -88.516845703125,\n 43.85235516793534\n ],\n [\n -88.516845703125,\n 43.70163689691259\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"806","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Selbig, William R. 0000-0003-1403-8280 wrselbig@usgs.gov","orcid":"https://orcid.org/0000-0003-1403-8280","contributorId":877,"corporation":false,"usgs":true,"family":"Selbig","given":"William","email":"wrselbig@usgs.gov","middleInitial":"R.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828021,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loheid, Steven P. II 0000-0003-1897-0163","orcid":"https://orcid.org/0000-0003-1897-0163","contributorId":269846,"corporation":false,"usgs":false,"family":"Loheid","given":"Steven P.","suffix":"II","affiliations":[{"id":18002,"text":"University of Wisconsin - Madison","active":true,"usgs":false}],"preferred":false,"id":828022,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schuster, William","contributorId":117899,"corporation":false,"usgs":true,"family":"Schuster","given":"William","email":"","affiliations":[],"preferred":false,"id":828040,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scharenbroch, Bryant C. 0000-0002-9342-7550","orcid":"https://orcid.org/0000-0002-9342-7550","contributorId":269849,"corporation":false,"usgs":false,"family":"Scharenbroch","given":"Bryant","email":"","middleInitial":"C.","affiliations":[{"id":17613,"text":"University of Wisconsin - Stevens Point","active":true,"usgs":false}],"preferred":false,"id":828041,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coville, Robert C. 0000-0002-6895-2564","orcid":"https://orcid.org/0000-0002-6895-2564","contributorId":269851,"corporation":false,"usgs":false,"family":"Coville","given":"Robert","email":"","middleInitial":"C.","affiliations":[{"id":40823,"text":"Davey Institute","active":true,"usgs":false}],"preferred":false,"id":828042,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kruegler, James 0000-0002-2671-0807","orcid":"https://orcid.org/0000-0002-2671-0807","contributorId":269853,"corporation":false,"usgs":false,"family":"Kruegler","given":"James","email":"","affiliations":[{"id":40823,"text":"Davey Institute","active":true,"usgs":false}],"preferred":false,"id":828043,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Avery, William 0000-0002-2651-9906","orcid":"https://orcid.org/0000-0002-2651-9906","contributorId":269858,"corporation":false,"usgs":false,"family":"Avery","given":"William","email":"","affiliations":[{"id":18002,"text":"University of Wisconsin - Madison","active":true,"usgs":false}],"preferred":false,"id":828044,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Haefner, Ralph J. 0000-0002-4363-9010 rhaefner@usgs.gov","orcid":"https://orcid.org/0000-0002-4363-9010","contributorId":1793,"corporation":false,"usgs":true,"family":"Haefner","given":"Ralph","email":"rhaefner@usgs.gov","middleInitial":"J.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828045,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Nowak, David 0000-0002-2043-0062","orcid":"https://orcid.org/0000-0002-2043-0062","contributorId":269856,"corporation":false,"usgs":false,"family":"Nowak","given":"David","email":"","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":828046,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70229767,"text":"70229767 - 2022 - Accuracy of histology, endoscopy, ultrasonography, and plasma sex steroids in describing the population reproductive structure of hatchery-origin and wild white sturgeon","interactions":[],"lastModifiedDate":"2022-03-17T16:21:20.800086","indexId":"70229767","displayToPublicDate":"2021-10-27T11:16:20","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Accuracy of histology, endoscopy, ultrasonography, and plasma sex steroids in describing the population reproductive structure of hatchery-origin and wild white sturgeon","docAbstract":"Hatchery-origin white sturgeon Acipenser transmontanus in the lower Columbia River, Canada are approaching puberty, and describing the reproductive structure of the population is critical to determine if they are capable of contributing to spawning events in the wild, a key management uncertainty. Few studies have compared the accuracy of available tools (histology, ultrasound, endoscopy, and plasma sex steroids) used to assign sex and stage of maturity within the same population of prepubertal and post-pubertal sturgeon. Population reproductive structure was described using these tools in 332 hatchery-origin and 75 wild individuals over 2 years (2017 and 2018). True sex was determined using histological analysis of gonadal tissue, which is 100% accurate at assigning sex and stage of maturity in fish when germ cells are present in the biopsy. All hatchery-origin fish assessed had not reached puberty and were pre-meiotic males (n = 158) or pre-vitellogenic females (n = 174). Assignment of true sex using histology was 97% in hatchery-origin and 94% in wild fish as several biopsies did not contain germ cells. Fish with gonadal biopsies that did not contain germ cells and intersex fish (n = 3) were not included in further analyses of other tools. Accuracy in assigning sex to both the hatchery-origin (98%) and wild (100%) fish was highest using endoscopy (an otoscope). The other tools evaluated were less accurate, with 69% accuracy in hatchery-origin and 74% accuracy in wild fish for plasma sex steroids and 57% accuracy in hatchery-origin and 70% accuracy in wild fish for ultrasonography. Based on these results, endoscopy was the most reliable tool for assigning sex in both prepubertal and post-pubertal fish and can be easily complimented with histology when determining stage of maturity or describing population reproductive structure.
","language":"English","publisher":"Wiley","doi":"10.1111/jai.14280","usgsCitation":"Maskill, P.A., Crossman, J.A., Webb, M., Marrello, M.M., and Guy, C.S., 2022, Accuracy of histology, endoscopy, ultrasonography, and plasma sex steroids in describing the population reproductive structure of hatchery-origin and wild white sturgeon: Journal of Applied Ichthyology, v. 38, no. 1, p. 3-16, https://doi.org/10.1111/jai.14280.","productDescription":"14 p.","startPage":"3","endPage":"16","ipdsId":"IP-127673","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":449583,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jai.14280","text":"Publisher Index Page"},{"id":397257,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"British Columbia, Washington","otherGeospatial":"Columbia River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.10577392578124,\n 48.67826727167941\n ],\n [\n -117.49053955078125,\n 48.67826727167941\n ],\n [\n -117.49053955078125,\n 49.3948875168789\n ],\n [\n -118.10577392578124,\n 49.3948875168789\n ],\n [\n -118.10577392578124,\n 48.67826727167941\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"38","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-10-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Maskill, Paige A. C.","contributorId":288695,"corporation":false,"usgs":false,"family":"Maskill","given":"Paige","email":"","middleInitial":"A. C.","affiliations":[{"id":61831,"text":"Montana Cooperative Fishery Research Unit, Department of Ecology","active":true,"usgs":false}],"preferred":false,"id":838230,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crossman, James A.","contributorId":288696,"corporation":false,"usgs":false,"family":"Crossman","given":"James","email":"","middleInitial":"A.","affiliations":[{"id":37568,"text":"BC Hydro","active":true,"usgs":false}],"preferred":false,"id":838231,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webb, Molly A. H.","contributorId":288697,"corporation":false,"usgs":false,"family":"Webb","given":"Molly A. H.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":838232,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marrello, Marco M.","contributorId":288698,"corporation":false,"usgs":false,"family":"Marrello","given":"Marco","email":"","middleInitial":"M.","affiliations":[{"id":61834,"text":"Terraquatic Resource Management","active":true,"usgs":false}],"preferred":false,"id":838233,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":838229,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70254822,"text":"70254822 - 2022 - Tracking the desert's edge with a Pleistocene relict","interactions":[],"lastModifiedDate":"2024-06-10T15:11:12.973342","indexId":"70254822","displayToPublicDate":"2021-10-27T10:05:26","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2183,"text":"Journal of Arid Environments","active":true,"publicationSubtype":{"id":10}},"title":"Tracking the desert's edge with a Pleistocene relict","docAbstract":"In addition to the Sky Islands of the southwestern U.S. and northwestern Mexico, a series of 900–1200 m desert peaks surrounded by arid lowlands support temperate affiliated species at their summits. The presence of disjunct long-lived plant taxa on under-explored desert mountains, especially Isla Tiburón at 29° latitude in the Gulf of California, suggests a more southerly extent of Ice Age woodlands than previously understood. The phylogeography of the desert edge species Canotia holacantha (Celastraceae) was investigated to test the hypothesis that insular desert peak populations represent remnants of Pleistocene woodlands rather than recent dispersal events. Sequences of four chloroplast DNA regions totaling 2032 bp were amplified from 74 individuals of 14 populations across the entire range of C. holacantha as well as nine individuals that represented the other two species in its clade (C. wendtii and Acanthothamnus aphyllus) and two outgroups. Results suggest that a Canotia common ancestor occurred on the landscape, which underwent a population contraction ca. 15 kya. The Isla Tiburón C. holacantha population and the Chihuahuan Desert microendemic C. wendtii have the greatest genetic differentiation, are sister to one another, and basal to all other Canotia populations. Three haplotypes within C. holacantha were recovered, which correspond to regional geography and thus identified as the Arizona, Sonora, and Tiburón haplotypes, within which Acanthothamnus aphyllus is nested rather than as a sister genus. These results indicate a once broad distribution of Canotia/Acanthothamnus when the current peripheral desert ecotone habitat was more widespread during the Pleistocene, now present in relict populations on the fringes of the southern desert, in the Chihuahuan Desert, with scattered populations on desert peaks, and a common or abundant distribution at the northern boundary of the Sonoran Desert. These results suggest Canotia has tracked the shift of the desert's edge both in latitude and elevation since the end of the last Ice Age.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jaridenv.2021.104653","usgsCitation":"Wilder, B., Becker, A.T., Munguia-Vega, A., and Culver, M., 2022, Tracking the desert's edge with a Pleistocene relict: Journal of Arid Environments, v. 196, 104653, 9 p., https://doi.org/10.1016/j.jaridenv.2021.104653.","productDescription":"104653, 9 p.","ipdsId":"IP-132306","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":429756,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.03889363159188,\n 34.44633288560905\n ],\n [\n -118.03889363159188,\n 23.186795096665634\n ],\n [\n -104.79132977024277,\n 23.186795096665634\n ],\n [\n -104.79132977024277,\n 34.44633288560905\n ],\n [\n -118.03889363159188,\n 34.44633288560905\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"196","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wilder, Benjamin T.","contributorId":337736,"corporation":false,"usgs":false,"family":"Wilder","given":"Benjamin T.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":902645,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Becker, Amanda T.","contributorId":337737,"corporation":false,"usgs":false,"family":"Becker","given":"Amanda","email":"","middleInitial":"T.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":902646,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Munguia-Vega, Adrian","contributorId":337738,"corporation":false,"usgs":false,"family":"Munguia-Vega","given":"Adrian","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":902647,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":902644,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70225644,"text":"70225644 - 2022 - Tectonic influence on axial-transverse sediment routing in the Denver Basin","interactions":[],"lastModifiedDate":"2021-10-29T14:02:45.567435","indexId":"70225644","displayToPublicDate":"2021-10-27T08:57:37","publicationYear":"2022","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Tectonic influence on axial-transverse sediment routing in the Denver Basin","docAbstract":"Detrital zircon U-Pb and (U-Th)/He ages from latest Cretaceous–Eocene strata of the Denver Basin provide novel insights into evolving sediment sourcing, recycling, and dispersal patterns during deposition in an intracontinental foreland basin. In total, 2464 U-Pb and 78 (U-Th)/He analyses of detrital zircons from 21 sandstone samples are presented from outcrop and drill core in the proximal and distal portions of the Denver Basin. Upper Cretaceous samples that predate uplift of the southern Front Range during the Laramide orogeny (Pierre Shale, Fox Hills Sandstone, and Laramie Formation) contain prominent Late Cretaceous (84–77 Ma), Jurassic (169–163 Ma), and Proterozoic (1.69–1.68 Ga) U-Pb ages, along with less abundant Paleozoic through Archean zircon grain ages. These grain ages are consistent with sources in the western U.S. Cordillera, including the Mesozoic Cordilleran magmatic arc and Yavapai-Mazatzal basement, with lesser contributions of Grenville and Appalachian zircon recycled from older sedimentary sequences. Mesozoic zircon (U-Th)/He ages confirm Cordilleran sources and/or recycling from the Sevier orogenic hinterland. Five of the 11 samples from syn-Laramide basin fill (latest Cretaceous–Paleocene D1 Sequence) and all five samples from the overlying Eocene D2 Sequence are dominated by 1.1–1.05 Ga zircon ages that are interpreted to reflect local derivation from the ca. 1.1 Ga Pikes Peak batholith. Corresponding late Mesoproterozoic to early Neoproterozoic zircon (U-Th)/He ages are consistent with local sourcing from the southern Front Range that underwent limited Mesozoic–Cenozoic unroofing. The other six samples from the D1 Sequence yielded detrital zircon U-Pb ages similar to pre-Laramide units, with major U-Pb age peaks at ca. 1.7 and 1.4 Ga but lacking the 1.1 Ga age peak found in the other syn-Laramide samples. One of these samples yielded abundant Mesozoic and Paleozoic (U-Th)/He ages, including prominent Early and Late Cretaceous peaks.
We propose that fill of the Denver Basin represents the interplay between locally derived sediment delivered by transverse drainages that emanated from the southern Front Range and a previously unrecognized, possibly extraregional, axial-fluvial system. Transverse alluvial-fluvial fans, preserved in proximal basin fill, record progressive unroofing of southern Front Range basement during D1 and D2 Sequence deposition. Deposits of the upper and lower D1 Sequence across the basin were derived from these fans that emanated from the southern Front Range. However, the finer-grained, middle portion of the D1 Sequence that spans the Cretaceous-Paleogene boundary was deposited by both transverse (proximal basin fill) and axial (distal basin fill) fluvial systems that exhibit contrasting provenance signatures. Although both tectonic and climatic controls likely influenced the stratigraphic development of the Denver Basin, the migration of locally derived fans toward and then away from the thrust front suggests that uplift of the southern Front Range may have peaked at approximately the Cretaceous-Paleogene boundary.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Tectonic evolution of the Sevier-Laramide hinterland, thrust belt, and foreland, and postorogenic slab rollback (180–20 Ma)","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2021.2555(11)","usgsCitation":"Sharman, G.R., Stockli, D.F., Flaig, P., Raynolds, R., Dechesne, M., and Covault, J.A., 2022, Tectonic influence on axial-transverse sediment routing in the Denver Basin, chap. of Tectonic evolution of the Sevier-Laramide hinterland, thrust belt, and foreland, and postorogenic slab rollback (180–20 Ma), 20 p., https://doi.org/10.1130/2021.2555(11).","productDescription":"20 p.","ipdsId":"IP-117384","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":449586,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1130/spe.s.16850272","text":"External Repository"},{"id":391158,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Denver Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.435546875,\n 38.151837403006766\n ],\n [\n -103.60107421874999,\n 38.151837403006766\n ],\n [\n -103.60107421874999,\n 41.178653972331674\n ],\n [\n -106.435546875,\n 41.178653972331674\n ],\n [\n -106.435546875,\n 38.151837403006766\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sharman, Glenn R","contributorId":268171,"corporation":false,"usgs":false,"family":"Sharman","given":"Glenn","email":"","middleInitial":"R","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":826041,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stockli, Daniel F. 0000-0001-7652-2129","orcid":"https://orcid.org/0000-0001-7652-2129","contributorId":254375,"corporation":false,"usgs":false,"family":"Stockli","given":"Daniel","email":"","middleInitial":"F.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":826042,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flaig, Peter","contributorId":268172,"corporation":false,"usgs":false,"family":"Flaig","given":"Peter","email":"","affiliations":[{"id":13603,"text":"University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":826043,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Raynolds, Robert","contributorId":268173,"corporation":false,"usgs":false,"family":"Raynolds","given":"Robert","affiliations":[{"id":27833,"text":"Denver Museum of Nature and Science","active":true,"usgs":false}],"preferred":false,"id":826044,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dechesne, Marieke 0000-0002-4468-7495","orcid":"https://orcid.org/0000-0002-4468-7495","contributorId":213936,"corporation":false,"usgs":true,"family":"Dechesne","given":"Marieke","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":826045,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Covault, Jacob A","contributorId":265637,"corporation":false,"usgs":false,"family":"Covault","given":"Jacob","email":"","middleInitial":"A","affiliations":[{"id":54745,"text":"Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin, Austin, TX","active":true,"usgs":false}],"preferred":false,"id":826046,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70226527,"text":"70226527 - 2022 - The role of preexisting upper plate strike-slip faults during long-lived (ca. 30 Myr) oblique flat slab subduction, southern Alaska","interactions":[],"lastModifiedDate":"2021-11-23T14:16:17.67564","indexId":"70226527","displayToPublicDate":"2021-10-27T08:13:54","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"The role of preexisting upper plate strike-slip faults during long-lived (ca. 30 Myr) oblique flat slab subduction, southern Alaska","docAbstract":"Upper plates of subduction zones commonly respond to flat slab subduction by structural reactivation, magmatic arc disruption, and foreland basin inversion. However, the role of active strike-slip faults in focusing convergent deformation and magmatism in response to oblique flat slab subduction remains less clear. Here, we present new detrital apatite fission-track (dAFT) ages from 12 modern catchments in the eastern Alaska Range, Alaska, USA, to reveal how the dextral Denali fault system has facilitated bedrock exhumation and topographic growth during ca. 30 Ma-to-present oblique flat slab subduction of the Yakutat oceanic plateau. Additionally, a 940 ka (40Ar/39Ar whole rock) basalt flow is spatially associated with Cenozoic structures, locally reset AFT ages and provides the first evidence for Quaternary volcanism along the southern flank of the eastern Alaska Range. We integrate our new data with other thermochronologic, geochronologic, and regional geologic datasets to show that (1) most high topography regions in southern Alaska have undergone rapid bedrock cooling and exhumation since ca. 30 Ma; (2) elevated terrain and young cooling are spatially associated with long-lived active strike-slip fault systems; (3) topographic growth associated with strike-slip fault deformation led to local inversion of basin systems and drainage reorganization; (4) the onset of oblique oceanic plateau subduction is coeval with a southward shift in arc magmatism from one region of active strike-slip faulting to another above the northeastern edge of the flat slab; and (5) Quaternary volcanism marks the revival of magmatism in the eastern Alaska Range above the geophysically imaged northeastern edge of the flat slab. Our analysis of the post-30 Ma geologic evolution of southern Alaska demonstrates that strike-slip fault systems that were active at the time of slab flattening evolved into transpression zones that focused bedrock cooling, rock exhumation, and topographic growth.
Sediment eroded from the headwaters of a large basin strongly influences channels and ecosystems far downstream, but the connection is often difficult to trace. Disturbance-dependent riparian trees are thought to rely primarily on floods for formation of the sand bars necessary for seedling establishment, but pulses of sediment should also promote formation of such features. In order to expand understanding of the role of sediment connectivity in governing ecological processes, here we explore the hypothesis that cottonwood forest along the Green and Yampa Rivers in Utah and Colorado are dominated by trees established a century ago during a period of extensive channel migration caused by significant headwater erosion. Analysis of historical documents and aerial photographs suggests that three key tributaries of the Yampa River underwent significant historical erosion from roughly 1880 to 1940. Average width and depth of tributaries with defined arroyos increased two to six times from historical surveys, resulting in the export of ~30 million metric tons of sediment, sizably increasing the sediment load and channel migration rate of the Yampa and Green Rivers. Establishment of major portions of several downstream cottonwood forests occurred during this period of historical erosion, increased sediment loads, and heightened channel migration rates, and the area of forest dating to that time is much greater than can be explained by high flows alone. Viewed collectively, our findings suggest tributary erosion played a vital role in successful downstream forest establishment, a link we contend is best illustrated through a sediment-ecological connectivity framework. Broadly, this framework facilitates consideration of linkages between morphological and ecological processes at the watershed-scale. Development and utilization of a watershed-scale sediment-ecological connectivity perspective highlights the value of sediment as a critical ecological resource to be managed jointly with flow to ensure the maintenance of vital riverine ecosystems.
","language":"English","publisher":"Wiley","doi":"10.1002/esp.5277","usgsCitation":"Kemper, J.T., Thaxton, R.D., Rathburn, S.L., Friedman, J.M., Mueller, E., and Scott, M.L., 2022, Sediment-ecological connectivity in a large river network: Earth Surface Processes and Landforms, v. 47, no. 2, p. 639-657, https://doi.org/10.1002/esp.5277.","productDescription":"19 p.","startPage":"639","endPage":"657","ipdsId":"IP-127871","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":392853,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Utah","otherGeospatial":"Green River, Yampa River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.11572265625,\n 38.013476231041935\n ],\n [\n -105.633544921875,\n 38.013476231041935\n ],\n [\n -105.633544921875,\n 40.93841495689795\n ],\n [\n -111.11572265625,\n 40.93841495689795\n ],\n [\n -111.11572265625,\n 38.013476231041935\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"47","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Kemper, John T.","contributorId":270040,"corporation":false,"usgs":false,"family":"Kemper","given":"John","email":"","middleInitial":"T.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":828338,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thaxton, R. D.","contributorId":270041,"corporation":false,"usgs":false,"family":"Thaxton","given":"R.","email":"","middleInitial":"D.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":828339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rathburn, Sara L.","contributorId":140606,"corporation":false,"usgs":false,"family":"Rathburn","given":"Sara","email":"","middleInitial":"L.","affiliations":[{"id":13539,"text":"Department of Geosciences, Colorado State University, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":828340,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":44495,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":828341,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mueller, Erich R. 0000-0001-8202-154X","orcid":"https://orcid.org/0000-0001-8202-154X","contributorId":207750,"corporation":false,"usgs":false,"family":"Mueller","given":"Erich R.","affiliations":[{"id":37626,"text":"Department of Geography, University of Wyoming, Laramie, WY, USA","active":true,"usgs":false}],"preferred":false,"id":828342,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scott, Michael L.","contributorId":204827,"corporation":false,"usgs":false,"family":"Scott","given":"Michael","email":"","middleInitial":"L.","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":828343,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70231451,"text":"70231451 - 2022 - Next-generation lampricides: A three-stage process to develop improved control tools for invasive sea lamprey","interactions":[],"lastModifiedDate":"2022-05-11T11:37:08.337092","indexId":"70231451","displayToPublicDate":"2021-10-26T06:34:51","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Next-generation lampricides: A three-stage process to develop improved control tools for invasive sea lamprey","docAbstract":"The advent of Low Power Wide Area Networks (LPWAN) has improved the feasibility of wireless sensor networks for environmental sensing across wide areas. We have built EnviSense, an ultra-low power environmental sensing system, and deployed over a dozen of them across two locations in Northern California for hydrological monitoring applications with the U.S. Geological Survey (USGS). This paper details our experiences with the design and implementation of this system across two years, including six months of continuous measurement in the field. We describe the lessons learned for deployment planning, remote device management and programming, and system co-design with a domain-expert from the USGS.
","largerWorkTitle":"LP-IoT '21: Proceedings of the 1st ACM Workshop on No Power and Low Power Internet-of-Things","language":"English","publisher":"Association of Computing Machinery","doi":"10.1145/3477085.3478988","usgsCitation":"Grimsley, R., Marineau, M.D., and Iannucci, R.A., 2022, Experiences in LP-IoT: EnviSense deployment of remotely reprogrammable environmental sensors, in LP-IoT '21: Proceedings of the 1st ACM Workshop on No Power and Low Power Internet-of-Things, p. 1-7, https://doi.org/10.1145/3477085.3478988.","productDescription":"7 p.","startPage":"1","endPage":"7","ipdsId":"IP-130093","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":449595,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1145/3477085.3478988","text":"Publisher Index Page"},{"id":396759,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Beale Air Force Base","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.42982482910158,\n 39.066380823434486\n ],\n [\n -121.36528015136717,\n 39.06718050308463\n ],\n [\n -121.31996154785158,\n 39.087169549791966\n ],\n [\n -121.31927490234376,\n 39.13325601865834\n ],\n [\n -121.34056091308594,\n 39.14949897356036\n ],\n [\n -121.3985824584961,\n 39.176650950983294\n ],\n [\n -121.47239685058592,\n 39.16227768020765\n ],\n [\n -121.48097991943358,\n 39.14630393428414\n ],\n [\n -121.4813232421875,\n 39.12633165289992\n ],\n [\n -121.42982482910158,\n 39.066380823434486\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2021-10-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Grimsley, Reese 0000-0002-3458-0707","orcid":"https://orcid.org/0000-0002-3458-0707","contributorId":287982,"corporation":false,"usgs":false,"family":"Grimsley","given":"Reese","email":"","affiliations":[{"id":12943,"text":"Carnegie Mellon University","active":true,"usgs":false}],"preferred":false,"id":837249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marineau, Mathieu D. 0000-0002-6568-0743 mmarineau@usgs.gov","orcid":"https://orcid.org/0000-0002-6568-0743","contributorId":4954,"corporation":false,"usgs":true,"family":"Marineau","given":"Mathieu","email":"mmarineau@usgs.gov","middleInitial":"D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":837250,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Iannucci, Robert A.","contributorId":202339,"corporation":false,"usgs":false,"family":"Iannucci","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":36393,"text":"Carnegie Mellon University - Silicon Valley","active":true,"usgs":false}],"preferred":false,"id":837251,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70230213,"text":"70230213 - 2022 - Temperature-based modeling of incubation period to protect loggerhead hatchlings on an urban beach in Northwest Florida","interactions":[],"lastModifiedDate":"2022-04-05T15:19:54.312558","indexId":"70230213","displayToPublicDate":"2021-10-25T10:16:33","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2277,"text":"Journal of Experimental Marine Biology and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Temperature-based modeling of incubation period to protect loggerhead hatchlings on an urban beach in Northwest Florida","docAbstract":"Sea turtle hatchlings face many natural and anthropogenic threats during their short journey to the water after emerging from nests. Reducing hatchling mortality is critical to population recovery of imperiled sea turtle species; however, protecting hatchlings is particularly challenging on beaches degraded by human development and disturbances, including artificial lighting. Managers need practical methods to reduce hatchling mortality without harming their natural behavior or development. To address this need, we describe an approach to reduce mortality of loggerhead hatchlings that relies on prediction of clutch incubation length and knowledge of hatchling emergence patterns. We developed models to predict incubation length utilizing sand temperature and nest depth data from 133 loggerhead nests laid on an urban beach in Northwest Florida from 2013 to 2020. Incubation length was predicted to within 2.2 days using mean sand temperatures measured just outside of the clutch. Predicted accuracy improved to 1.9 days using a 2-parameter model incorporating sand temperature and measured depth to the topmost eggs. Hatchlings emerged almost exclusively at night in a single large group with no evidence of asynchronous emergences. Emergence times were skewed toward the early evening, in contrast to loggerhead nests on the Florida Atlantic coast which tend to hatch near midnight. Using these prediction tools, monitoring efforts could be focused on days and times of expected emergence to enable protection of hatchlings emerging naturally from nests left in situ. The method used here, while not a substitute for recovery of degraded nesting habitat, provides a way to protect hatchlings that avoids disturbing the eggs with instruments or restraining the hatchlings with cages or screens.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jembe.2021.151647","usgsCitation":"Watson, K.P., and Lamont, M., 2022, Temperature-based modeling of incubation period to protect loggerhead hatchlings on an urban beach in Northwest Florida: Journal of Experimental Marine Biology and Ecology, v. 546, 151647, 10 p., https://doi.org/10.1016/j.jembe.2021.151647.","productDescription":"151647, 10 p.","ipdsId":"IP-127739","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":398117,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","county":"Bay County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.528564453125,\n 30.023921574501376\n ],\n [\n -85.8856201171875,\n 30.235340577517942\n ],\n [\n -85.92819213867188,\n 30.22466172703242\n ],\n [\n -85.59860229492188,\n 30.0286775329042\n ],\n [\n -85.54504394531249,\n 30.00013836058068\n ],\n [\n -85.528564453125,\n 30.023921574501376\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"546","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Watson, Kennard P.","contributorId":289668,"corporation":false,"usgs":false,"family":"Watson","given":"Kennard","email":"","middleInitial":"P.","affiliations":[{"id":62225,"text":"Panama City Beach Turtle Watch","active":true,"usgs":false}],"preferred":false,"id":839570,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lamont, Margaret 0000-0001-7520-6669","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":222403,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":839571,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70225602,"text":"70225602 - 2022 - Ontogeny of eDNA shedding during early development in Chinook Salmon (Oncorhynchus tshawytscha)","interactions":[],"lastModifiedDate":"2022-04-11T16:36:52.660548","indexId":"70225602","displayToPublicDate":"2021-10-24T07:20:50","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5840,"text":"Environmental DNA","active":true,"publicationSubtype":{"id":10}},"title":"Ontogeny of eDNA shedding during early development in Chinook Salmon (Oncorhynchus tshawytscha)","docAbstract":"Knowledge of the timing of major life history events in aquatic species is important for informing conservation and resource management planning. Accordingly, surveys of environmental DNA (eDNA) have been performed to determine the efficacy of eDNA for providing information on life history events, primarily focusing on the timing of events associated with spawning, and these studies have proved successful. However, spawning represents only one part of the life history, and therefore, information on eDNA shedding during other life history stages is needed to fill gaps in knowledge. Here, we explored eDNA shedding during early life history (from fertilized eggs until near yolk sac absorption) in Chinook Salmon (Oncorhynchus tshawytscha) at three biomasses in a laboratory environment. We found that fertilized eggs shed little eDNA prior to hatching. Hatching coincided with a spike in eDNA, and we observed a significant and positive relationship between eDNA concentration and the number of hatched eggs. The concentration of eDNA shed by larvae after hatching was not consistent across post-hatch sampling days, suggesting developmental and behavioral changes associated with larval ontogeny may affect eDNA shedding rate. These results indicate that eDNA data may be used to identify hatch timing and verify successful reproduction in oviparous aquatic fishes. The application of eDNA to early life history broadens the capacity of eDNA-based methods for assessing population status and trends.
Accurate information on diet composition is central to understanding and conserving carnivore populations. Quantitative fatty acid signature analysis (QFASA) has emerged as a powerful tool for estimating the diets of predators, but ambiguities remain about the timeframe of QFASA estimates and the need to account for species-specific patterns of metabolism. We conducted a series of feeding experiments with four juvenile male brown bears (Ursus arctos) to (1) track the timing of changes in adipose tissue composition and QFASA diet estimates in response to a change in diet and (2) quantify the relationship between consumer and diet FA composition (i.e., determine “calibration coefficients”). Bears were fed three compositionally distinct diets for 90–120 days each. Two marine-based diets were intended to approximate the lipid content and composition of the wild diet of polar bears (U. maritimus). Bear adipose tissue composition changed quickly in the direction of the diet and showed evidence of stabilization after 60 days. During hibernation, FA profiles were initially stable but diet estimates after 10 weeks were sensitive to calibration coefficients. Calibration coefficients derived from the marine-based diets were broadly similar to each other and to published values from marine-fed mink (Mustela vison), which have been used as a model for free-ranging polar bears. For growing bears on a high-fat diet, the temporal window for QFASA estimates was 30–90 days. Although our results reinforce the importance of accurate calibration, the similarities across taxa and diets suggest it may be feasible to develop a generalized QFASA approach for mammalian carnivores.
Some northern Wisconsin lakes have shown declines in catches of age-0 Walleye Sander vitreus in standardized fall electrofishing sampling, suggesting that recruitment bottlenecks are occurring in the first several months of life. In 2016 and 2017, we sampled six lakes with declining trends in natural Walleye recruitment (D-NR lakes) and seven lakes with a history of sustained natural recruitment (S-NR lakes) to determine if timing of potential recruitment bottlenecks for age-0 Walleye were consistent among D-NR lakes and if abiotic and biotic metrics differed between D-NR and S-NR lakes. We also examined diets of larval Walleye to assess prey items that may be important to early growth and survival and to determine if occurrence of piscivory was related to larval Walleye total length. Differential patterns in the presence and absence of age-0 Walleye at different life history stages in the first 6 months of life suggested that recruitment bottlenecks in D-NR lakes were consistently occurring before mid-July (five of six lakes). Mean Secchi depth, surface conductivity, abundance of larval Yellow Perch Perca flavescens, and most metrics of zooplankton abundance and mean size were similar between D-NR and S-NR lakes. Log10 transformed number of adult Walleye per hectare was lower and adult mean total length was higher in D-NR lakes. Across all lakes, diets of larval Walleye consisted of zooplankton and larval fish and the occurrence of piscivory was higher than reported in previous studies and was positively related to total length of larval Walleye. Causes of recruitment bottlenecks in D-NR lakes remain unclear, making it difficult to identify management actions that might be implemented to circumvent these bottlenecks. However, our results indicate that future research should focus on the period between egg deposition and mid-July.
","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10683","usgsCitation":"Gostiaux, J., Boehm, H.I., Jaksha, N.J., Dembkowski, D., Hennessy, J.M., and Isermann, D.A., 2022, Recruitment bottlenecks for age-0 walleye in northern Wisconsin lakes: North American Journal of Fisheries Management, v. 42, no. 3, p. 507-522, https://doi.org/10.1002/nafm.10683.","productDescription":"16 p.","startPage":"507","endPage":"522","ipdsId":"IP-127091","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":397234,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.74658203125,\n 45.08127861241874\n ],\n [\n -87.879638671875,\n 44.80132682904856\n ],\n [\n -87.9345703125,\n 45.644768217751924\n ],\n [\n -90.142822265625,\n 46.35451083736523\n ],\n [\n -90.71411132812499,\n 46.65697731621612\n ],\n [\n -90.95581054687499,\n 46.604167162931844\n ],\n [\n -90.758056640625,\n 46.94276208682137\n ],\n [\n -90.933837890625,\n 46.97275640318636\n ],\n [\n -92.010498046875,\n 46.70973594407157\n ],\n [\n -92.74658203125,\n 45.08127861241874\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-10-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Gostiaux, Jason","contributorId":288755,"corporation":false,"usgs":false,"family":"Gostiaux","given":"Jason","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":838263,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boehm, Hadley I. A.","contributorId":288756,"corporation":false,"usgs":false,"family":"Boehm","given":"Hadley","email":"","middleInitial":"I. A.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":838264,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jaksha, Nathan J.","contributorId":288757,"corporation":false,"usgs":false,"family":"Jaksha","given":"Nathan","email":"","middleInitial":"J.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":838265,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dembkowski, Daniel J.","contributorId":288759,"corporation":false,"usgs":false,"family":"Dembkowski","given":"Daniel J.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":838266,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hennessy, Joseph M.","contributorId":288761,"corporation":false,"usgs":false,"family":"Hennessy","given":"Joseph","email":"","middleInitial":"M.","affiliations":[{"id":16117,"text":"Wisconsin DNR","active":true,"usgs":false}],"preferred":false,"id":838267,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":838262,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70225745,"text":"70225745 - 2022 - Activity-based, genome-resolved metagenomics uncovers key populations and pathways involved in subsurface conversions of coal to methane","interactions":[],"lastModifiedDate":"2022-03-28T16:03:16.089871","indexId":"70225745","displayToPublicDate":"2021-10-21T08:26:18","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3563,"text":"The ISME Journal","active":true,"publicationSubtype":{"id":10}},"title":"Activity-based, genome-resolved metagenomics uncovers key populations and pathways involved in subsurface conversions of coal to methane","docAbstract":"Microbial metabolisms and interactions that facilitate subsurface conversions of recalcitrant carbon to methane are poorly understood. We deployed an in situ enrichment device in a subsurface coal seam in the Powder River Basin (PRB), USA, and used BONCAT-FACS-Metagenomics to identify translationally active populations involved in methane generation from a variety of coal-derived aromatic hydrocarbons. From the active fraction, high-quality metagenome-assembled genomes (MAGs) were recovered for the acetoclastic methanogen, Methanothrix paradoxum, and a novel member of the Chlorobi with the potential to generate acetate via the Pta-Ack pathway. Members of the Bacteroides and Geobacter also encoded Pta-Ack and together, all four populations had the putative ability to degrade ethylbenzene, phenylphosphate, phenylethanol, toluene, xylene, and phenol. Metabolic reconstructions, gene analyses, and environmental parameters also indicated that redox fluctuations likely promote facultative energy metabolisms in the coal seam. The active “Chlorobi PRB” MAG encoded enzymes for fermentation, nitrate reduction, and multiple oxygenases with varying binding affinities for oxygen. “M. paradoxum PRB” encoded an extradiol dioxygenase for aerobic phenylacetate degradation, which was also present in previously published Methanothrix genomes. These observations outline underlying processes for bio-methane from subbituminous coal by translationally active populations and demonstrate activity-based metagenomics as a powerful strategy in next generation physiology to understand ecologically relevant microbial populations.
","language":"English","publisher":"Springer Nature","doi":"10.1038/s41396-021-01139-x","usgsCitation":"McKay, L.J., Smith, H.J., Barnhart, E.P., Schweitzer, H.S., Malmstrom, R.R., Goudeau, D., and Fields, M.W., 2022, Activity-based, genome-resolved metagenomics uncovers key populations and pathways involved in subsurface conversions of coal to methane: The ISME Journal, v. 16, p. 915-926, https://doi.org/10.1038/s41396-021-01139-x.","productDescription":"12 p.","startPage":"915","endPage":"926","ipdsId":"IP-126752","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":449609,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41396-021-01139-x","text":"Publisher Index Page"},{"id":391508,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, Wyoming","otherGeospatial":"Powder River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.75439453125,\n 41.409775832009565\n ],\n [\n -104.765625,\n 41.83682786072714\n ],\n [\n -104.23828125,\n 44.59046718130883\n ],\n [\n -104.9853515625,\n 46.649436163350245\n ],\n [\n -106.58935546875,\n 46.7549166192819\n ],\n [\n -108.1494140625,\n 46.51351558059737\n ],\n [\n -108.12744140625,\n 45.38301927899065\n ],\n [\n -106.41357421875,\n 43.6599240747891\n ],\n [\n -105.99609375,\n 41.83682786072714\n ],\n [\n -105.75439453125,\n 41.409775832009565\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","noUsgsAuthors":false,"publicationDate":"2021-10-23","publicationStatus":"PW","contributors":{"authors":[{"text":"McKay, Luke J.","contributorId":268349,"corporation":false,"usgs":false,"family":"McKay","given":"Luke","email":"","middleInitial":"J.","affiliations":[{"id":55631,"text":"Center for Biofilm Engineering, Montana State University, Bozeman","active":true,"usgs":false}],"preferred":false,"id":826471,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Heidi J.","contributorId":268344,"corporation":false,"usgs":false,"family":"Smith","given":"Heidi","email":"","middleInitial":"J.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":826472,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnhart, Elliott P. 0000-0002-8788-8393","orcid":"https://orcid.org/0000-0002-8788-8393","contributorId":203225,"corporation":false,"usgs":true,"family":"Barnhart","given":"Elliott","middleInitial":"P.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":826473,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schweitzer, Hannah S.","contributorId":268345,"corporation":false,"usgs":false,"family":"Schweitzer","given":"Hannah","email":"","middleInitial":"S.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":826474,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Malmstrom, Rex R.","contributorId":268350,"corporation":false,"usgs":false,"family":"Malmstrom","given":"Rex","email":"","middleInitial":"R.","affiliations":[{"id":55632,"text":"DOE Joint Genome Institute","active":true,"usgs":false}],"preferred":false,"id":826475,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Goudeau, Danielle","contributorId":268351,"corporation":false,"usgs":false,"family":"Goudeau","given":"Danielle","email":"","affiliations":[{"id":55632,"text":"DOE Joint Genome Institute","active":true,"usgs":false}],"preferred":false,"id":826476,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fields, Matthew W.","contributorId":172391,"corporation":false,"usgs":false,"family":"Fields","given":"Matthew","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":826479,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70225520,"text":"70225520 - 2022 - Density structure of the island of Hawai’i and the implications for gravity-driven motion of the south flank of Kilauea volcano","interactions":[],"lastModifiedDate":"2021-12-10T17:03:53.974623","indexId":"70225520","displayToPublicDate":"2021-10-20T09:43:53","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Density structure of the island of Hawai’i and the implications for gravity-driven motion of the south flank of Kīlauea volcano","title":"Density structure of the island of Hawai’i and the implications for gravity-driven motion of the south flank of Kilauea volcano","docAbstract":"The discovery that large landslides dissected the Hawaiian islands, scattering debris over thousands of square kilometers of seafloor, changed our ideas of island growth and evolution. The evidence is consistent with catastrophic flank collapse during volcano growth, and draws our focus to the currently active island of Hawai’i, the volcanoes Mauna Loa and Kīlauea, and particularly to the actively-mobile south flank of Kīlauea volcano. Both the weight distribution and pressure within an extensive magma system are perceived to affect stability, but the role of gravitational body forces and island density distribution has not been quantitatively assessed. We use seismic velocities derived from tomography to model the density distribution of the island of Hawai’i and find that olivine-rich melts and rocks in Hawaiian volcanoes result in a close association of seismic velocity and density. The resultant density model reproduces more than 95% of the observed gravity disturbance signal wherever tomographic control exists and provides a basis for evaluating the body forces from gravity. We also find that if the decollement is weak, then gravitational body forces can produce slip that explains most seismo-tectonic and volcano-tectonic structural features of Kīlauea volcano. Where the decollement is in a state of incipient slip from this weight distribution, fluctuations in magma pressure can trigger accelerated slip on the decollement. Yet this is only true of the south flank of Kīlauea volcano. Though weight and magma distributions produce significant forces driving the west flank of Mauna Loa seaward, this flank is stable. Stability over the last decade indicates a strong foundation beneath the west flank of Mauna Loa, perhaps as a result of large debris avalanches that occurred there that scraped clay-rich sediments off of the decollement.","language":"English","publisher":"Oxford University Press","doi":"10.1093/gji/ggab398","usgsCitation":"Denlinger, R.P., and Flinders, A.F., 2022, Density structure of the island of Hawai’i and the implications for gravity-driven motion of the south flank of Kilauea volcano: Geophysical Journal International, v. 228, no. 3, p. 1793-1807, https://doi.org/10.1093/gji/ggab398.","productDescription":"15 p.","startPage":"1793","endPage":"1807","ipdsId":"IP-126754","costCenters":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":449612,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/gji/ggab398","text":"Publisher Index Page"},{"id":390674,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Mount Kīlauea, Mount Mauna Loa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.6597900390625,\n 18.87510275035649\n ],\n [\n -155.50048828125,\n 19.108838815166006\n ],\n [\n -155.26153564453125,\n 19.251515342943254\n ],\n [\n -155.15441894531247,\n 19.233363381183896\n ],\n [\n -154.940185546875,\n 19.32669491605546\n ],\n [\n -154.77813720703125,\n 19.497664168139053\n ],\n [\n -154.80010986328125,\n 19.54426088484117\n ],\n [\n -154.96490478515625,\n 19.645174265699062\n ],\n [\n -154.97589111328125,\n 19.74343913716519\n ],\n [\n -155.07476806640625,\n 19.748609300218842\n ],\n [\n -155.08026123046875,\n 19.815806165386956\n ],\n [\n -155.0665283203125,\n 19.87522588708924\n ],\n [\n -155.26702880859375,\n 20.037870053952016\n ],\n [\n -155.48126220703125,\n 20.125576455270572\n ],\n [\n -155.56365966796875,\n 20.146206116089946\n ],\n [\n -155.59112548828122,\n 20.135891626114574\n ],\n [\n -155.753173828125,\n 20.259620485824865\n ],\n [\n -155.89599609375,\n 20.287961155077717\n ],\n [\n -155.91796874999997,\n 20.246736652244206\n ],\n [\n -155.92620849609375,\n 20.16425483433661\n ],\n [\n -155.84106445312497,\n 20.014645445341365\n ],\n [\n -155.91522216796875,\n 19.94236918954201\n ],\n [\n -155.94268798828125,\n 19.87005983797396\n ],\n [\n -155.99761962890625,\n 19.85714397875396\n ],\n [\n -156.0882568359375,\n 19.748609300218842\n ],\n [\n -155.906982421875,\n 19.295590314804254\n ],\n [\n -155.93719482421875,\n 19.134789188332523\n ],\n [\n -155.92620849609375,\n 19.05173366503917\n ],\n [\n -155.6597900390625,\n 18.87510275035649\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"228","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-10-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Denlinger, Roger P. 0000-0003-0930-0635 roger@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-0635","contributorId":2679,"corporation":false,"usgs":true,"family":"Denlinger","given":"Roger","email":"roger@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":825398,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flinders, Ashton F. 0000-0003-2483-4635 aflinders@usgs.gov","orcid":"https://orcid.org/0000-0003-2483-4635","contributorId":196960,"corporation":false,"usgs":true,"family":"Flinders","given":"Ashton","email":"aflinders@usgs.gov","middleInitial":"F.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":153,"text":"California Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":825399,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}