In Lake Erie, lake whitefish Coregonus clupeaformis supported lucrative fisheries before populations were decimated by overfishing and water quality degradation. In recent years, there has been a renewed interest in lake whitefish and management of the fishery they support. Lake whitefish spawn on several reefs throughout Lake Erie, but the relative recruitment dynamics and contributions of spawning groups to the fishery are not well understood. Modern high-throughput sequencing approaches offer new opportunities to census population diversity and to identify subtle differences among closely related populations. We used high-throughput sequencing data to evaluate the genetic structure and diversity of lake whitefish collected opportunistically across broad spatial scales in Lake Erie. Using RAD-capture (Rapture), we sequenced and genotyped individuals (N = 88) from the west, central, and east basin of Lake Erie at 120,268 single nucleotide polymorphisms (SNPs). Lake whitefish from Niagara and Crib Reefs (west basin) diverged from the three collections. Interestingly, these were the only lake whitefish collected during the act of spawning (late November), and all other fish were collected pre-spawn (August-early November). These results suggest that some lake whitefish spawning reefs may be reproductively isolated, though definition of these groups into stocks will require more intentional sampling during the act of spawning.
Increasing risk of pathogen spillover coupled with overall declines in wildlife population abundance in the Anthropocene make infectious disease a relevant concern for species conservation worldwide. While emerging molecular tools could improve our diagnostic capabilities and give insight into mechanisms underlying wildlife disease risk, they have rarely been applied in practice. Here, employing a previously reported gene transcription panel of common immune markers to track physiological changes, we present a detailed analysis over the course of both acute and chronic infection in one wildlife species where disease plays a critical role in conservation, bighorn sheep (Ovis canadensis). Differential gene transcription patterns distinguished between infection statuses over the course of acute infection and differential correlation (DC) analyses identified clear changes in gene co-transcription patterns over the early stages of infection, with transcription of four genes—TGFb, AHR, IL1b and MX1—continuing to increase even as transcription of other immune-associated genes waned. In a separate analysis, we considered the capacity of the same gene transcription panel to aid in differentiating between chronically infected animals and animals in other disease states outside of acute disease events (an immediate priority for wildlife management in this system). We found that this transcription panel was capable of accurately identifying chronically infected animals in the test dataset, though additional data will be required to determine how far this ability extends. Taken together, our results showcase the successful proof of concept and breadth of potential utilities that gene transcription might provide to wildlife disease management, from direct insight into mechanisms associated with differential disease response to improved diagnostic capacity in the field.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/conphys/coac046","usgsCitation":"Bowen, L., Manlove, K.R., Roug, A., Waters-Dynes, S.C., LaHue, N., and Wolff, P., 2022, Using transcriptomics to predict and visualize disease status in bighorn sheep (Ovis canadensis): Conservation Physiology, v. 10, no. 1, 16 p., https://doi.org/10.1093/conphys/coac046.","productDescription":"16 p.","ipdsId":"IP-137827","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":447240,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/conphys/coac046","text":"Publisher Index Page"},{"id":404486,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-07-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Bowen, Lizabeth 0000-0001-9115-4336 lbowen@usgs.gov","orcid":"https://orcid.org/0000-0001-9115-4336","contributorId":4539,"corporation":false,"usgs":true,"family":"Bowen","given":"Lizabeth","email":"lbowen@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":847549,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manlove, Kezia R.","contributorId":198305,"corporation":false,"usgs":false,"family":"Manlove","given":"Kezia","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":847550,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roug, Annette","contributorId":181940,"corporation":false,"usgs":false,"family":"Roug","given":"Annette","email":"","affiliations":[],"preferred":false,"id":847551,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waters-Dynes, Shannon C. 0000-0002-9707-4684 swaters@usgs.gov","orcid":"https://orcid.org/0000-0002-9707-4684","contributorId":5826,"corporation":false,"usgs":true,"family":"Waters-Dynes","given":"Shannon","email":"swaters@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":847552,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"LaHue, Nate","contributorId":293650,"corporation":false,"usgs":false,"family":"LaHue","given":"Nate","email":"","affiliations":[{"id":27489,"text":"Nevada Department of Wildlife","active":true,"usgs":false}],"preferred":false,"id":847553,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wolff, Peregrine","contributorId":238063,"corporation":false,"usgs":false,"family":"Wolff","given":"Peregrine","affiliations":[{"id":27489,"text":"Nevada Department of Wildlife","active":true,"usgs":false}],"preferred":false,"id":847554,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70232547,"text":"70232547 - 2022 - Spatial dynamic N-mixture models with interspecific interactions","interactions":[],"lastModifiedDate":"2022-10-17T15:40:24.945066","indexId":"70232547","displayToPublicDate":"2022-07-03T06:35:52","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Spatial dynamic N-mixture models with interspecific interactions","docAbstract":"A new 3-D resistivity model, estimated from inversion of magnetotelluric data, images crustal and upper-mantle structure of the Wyoming Province and adjacent areas. The Archean province is imaged as a coherent resistive domain, in sharp contrast to active tectonic domains of the western U.S. Prominent high-conductivity belts define the northern, eastern, and southern margins of the Wyoming Province and are interpreted as sutures marking the remnants of Paleoproterozoic orogens. The model results suggest the northern boundary of the Wyoming Province is located 150 km south of its traditional placement and adjacent to a composite orogen separating the Wyoming Province and Medicine Hat block. The eastern province boundary is clearly imaged along the Black Hills, whereas the western margin is obscured by Cenozoic extension and magmatism. An internal boundary within the Wyoming Province is interpreted to represent a Neoarchean suture; in stark contrast to Proterozoic sutures, though, it is not marked by a high-conductivity belt. This difference in conductivity is speculated to reflect changes in the subduction process through time. The absence of high-conductivity along Archean sutures appears to be global in nature and related to reduced continental freeboard in the Archean which limited continental weathering and the delivery of carbon-rich sediments to the seafloor. Although the entire Wyoming Province has been proposed to have undergone lithospheric modification that lessened its stability, the resistivity model suggests a thick lithospheric root remains in place except along its western margin. These results suggest that Archean cratons may be more resistant to lithospheric modification by influx of heat and fluids associated with extension and plumes than previously thought, and that metasomatism does not necessarily weaken the lithosphere and set a craton on the path to destruction.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/B36417.1","usgsCitation":"Bedrosian, P.A., and Frost, C.D., 2022, Geophysical extent of the Wyoming Province, western USA: Insights into ancient subduction and craton stability: Geological Society of America Bulletin, v. 135, no. 3-4, p. 725-742, https://doi.org/10.1130/B36417.1.","productDescription":"18 p.","startPage":"725","endPage":"742","ipdsId":"IP-136962","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":501613,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/b36417.1","text":"Publisher Index Page"},{"id":501589,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Montana, Utah, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -113.26750794943243,\n 48.72244507268985\n ],\n [\n -113.26750794943243,\n 39.45653001110685\n ],\n [\n -102.04436648017622,\n 39.45653001110685\n ],\n [\n -102.04436648017622,\n 48.72244507268985\n ],\n [\n -113.26750794943243,\n 48.72244507268985\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"135","issue":"3-4","noUsgsAuthors":false,"publicationDate":"2022-07-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":957812,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frost, Carol D. 0000-0002-1674-2725","orcid":"https://orcid.org/0000-0002-1674-2725","contributorId":367851,"corporation":false,"usgs":false,"family":"Frost","given":"Carol","middleInitial":"D.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":957813,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70270792,"text":"70270792 - 2022 - Standard operating protocol for mark and recapture monitoring of Brook Floater in streams","interactions":[],"lastModifiedDate":"2025-08-25T15:33:06.25202","indexId":"70270792","displayToPublicDate":"2022-07-01T10:32:28","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"CSS-142-2022","title":"Standard operating protocol for mark and recapture monitoring of Brook Floater in streams","docAbstract":"The Brook Floater (Alasmidonta varicosa) is a small (<100 mm) freshwater mussel (Family: Unionidae) found in streams of the eastern United States (U.S.) (Nedeau 2008). While there has been limited effort to document the status of Brook Floater across its range, there is evidence of Brook Floater range contraction and declining local abundances over recent decades (Wicklow et al. 2017, NatureServe 2021). Brook Floater is a Species of Greatest Conservation Need (SGCN) in 15 states (94% of range); listed as endangered, threatened, or special concern in nearly every state and province where it still occurs; and has been extirpated from two states (Rhode Island and Delaware). Brook Floater was petitioned for Federal listing under the U.S. Endangered Species Act; however, the listing was determined not to be warranted (U.S. FWS 2019), although it remains a Regional SGCN of very high concern in U.S. Fish & Wildlife Service (U.S. FWS) Regions 5 (Terwilliger 2015) and 4 (SEAFWA-WDC 2019) and is an At-Risk Species in U.S. FWS Region 5.
A critical component of understanding population declines is site-specific information about population density and demographics (e.g., growth, age structure) to assess population viability. This information had previously only been collected for a few populations of Brook Floater (e.g., Massachusetts Division of Fisheries & Wildlife, North Carolina Wildlife Resources Commission) and methods to collect these data varied from state to state, thus limiting comparisons across the range. In 2016, a competitive State Wildlife Grant (SWG) was awarded to develop a standardized monitoring technique that will aid in understanding differences in population viability across its range and assess changes in populations through time. The protocol described in this report was subsequently developed and tested by Massachusetts and Maine (2 sites in each state) and revised based on field experiences. Data collected using this protocol will allow for state managers to make informed decisions about management actions for Brook Floater.
Monitoring approaches are ideally designed to meet management objectives. Management objectives are specific, quantifiable outcomes that reflect the values of the decision makers and relate directly to the management decisions (Conroy and Peterson 2013). Lack of well-defined objectives hinders success of conservation and management actions because there are undefined metrics to determine when the objectives have been met (Yoccoz et al. 2001, Nichols and Thompson 2006). While monitoring to understand a system (i.e., status and trends; Reynolds et al. 2016) provides baseline information for developing management recommendations in the future, Nichols and Thompson (2006) criticize status and trends monitoring because of time lags associated with conservation and the costs and resource availability needed for surveillance, among other reasons. State partners in the Brook Floater SWG have a variety of different monitoring objectives (e.g., abundance/density, survival, recruitment) that depend on the population sizes and demographics.
There are many approaches for estimating population parameters such as density, age structure, recruitment, and growth rates. For example, presence/absence (i.e., multistate models), counts (i.e., multi-state models or Dail-Madsen model; Dail and Madsen 2011), and capture mark-recapture (CMR; e.g. Cormack-Jolly-Seber models; Lindberg and Rexstad 2002) are all approaches for assessing population status and viability.
","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/css67282137","usgsCitation":"Sterrett, S., Roy, A.H., Hazelton, P., Swartz, B., Nedeau, E., Carmignani, J., and Skorupa, A., 2022, Standard operating protocol for mark and recapture monitoring of Brook Floater in streams: Cooperator Science Series CSS-142-2022, https://doi.org/10.3996/css67282137.","ipdsId":"IP-132939","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":494746,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2022-08-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Sterrett, Sean","contributorId":360459,"corporation":false,"usgs":false,"family":"Sterrett","given":"Sean","affiliations":[{"id":69149,"text":"Massachusetts Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":947082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":947081,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hazelton, Peter","contributorId":360462,"corporation":false,"usgs":false,"family":"Hazelton","given":"Peter","affiliations":[{"id":86008,"text":"Natural Heritage and Endangered Species Program","active":true,"usgs":false}],"preferred":false,"id":947083,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swartz, Beth","contributorId":360463,"corporation":false,"usgs":false,"family":"Swartz","given":"Beth","affiliations":[{"id":86011,"text":"Maine Department of Inland Fisheries & Wildlife","active":true,"usgs":false}],"preferred":false,"id":947084,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nedeau, Ethan","contributorId":360464,"corporation":false,"usgs":false,"family":"Nedeau","given":"Ethan","affiliations":[{"id":86012,"text":"Biodrawversity","active":true,"usgs":false}],"preferred":false,"id":947085,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carmignani, Jason","contributorId":360465,"corporation":false,"usgs":false,"family":"Carmignani","given":"Jason","affiliations":[{"id":86008,"text":"Natural Heritage and Endangered Species Program","active":true,"usgs":false}],"preferred":false,"id":947086,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Skorupa, Ayla","contributorId":360466,"corporation":false,"usgs":false,"family":"Skorupa","given":"Ayla","affiliations":[{"id":69149,"text":"Massachusetts Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":947087,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70232548,"text":"70232548 - 2022 - Rapid implementation of high-frequency wastewater surveillance of SARS-CoV-2","interactions":[],"lastModifiedDate":"2022-11-16T16:57:27.039347","indexId":"70232548","displayToPublicDate":"2022-07-01T07:02:24","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10957,"text":"ES&T: Water","active":true,"publicationSubtype":{"id":10}},"title":"Rapid implementation of high-frequency wastewater surveillance of SARS-CoV-2","docAbstract":"There have been over 507 million cases of COVID-19, the disease caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), resulting in 6 million deaths globally. Wastewater surveillance has emerged as a valuable tool in understanding SARS-CoV-2 burden in communities. The National Wastewater Surveillance System (NWSS) partnered with the United States Geological Survey (USGS) to implement a high-frequency sampling program. This report describes basic surveillance and sampling statistics as well as a comparison of SARS-CoV-2 trends between high-frequency sampling 3–5 times per week, referred to as USGS samples, and routine sampling 1–2 times per week, referred to as NWSS samples. USGS samples provided a more nuanced impression of the changes in wastewater trends, which could be important in emergency response situations. Despite the rapid implementation time frame, USGS samples had similar data quality and testing turnaround times as NWSS samples. Ensuring there is a reliable sample collection and testing plan before an emergency arises will aid in the rapid implementation of a high-frequency sampling approach. High-frequency sampling requires a constant flow of information and supplies throughout sample collection, testing, analysis, and data sharing. High-frequency sampling may be a useful approach for increased resolution of disease trends in emergency response.
There exists over a century of instrumental seismic data; however, most seismograms recorded before the 1980s are only available in analog form. Although analog seismograms are of great value, they are underutilized due to the difficulties of making quantitative measurements on the original media and in converting them to digital time series. In this study, we present an alternative workflow, based on deep learning, to reconstruct an earthquake catalog from images of analog data without conversion to vector time series. We trained a convolutional neural network—DevelNet, using synthetic analog data to detect earthquakes on scanned multichannel Develocorder film images. We then developed an image‐based processing workflow to measure arrival times, locate, and determine the magnitudes of earthquakes in the data. We demonstrate the performance of this approach on two years of continuous Develocorder film recordings from the Rangely earthquake control experiment in the mid‐1970s. Our approach detects twice the number of events reported in the original catalog (Raleigh et al., 1976). This demonstrates that DevelNet efficiently detects earthquakes from Develocorder film scans, performs consistently over time, and is robust to changes in network geometry. Our locations generally agree with the original study, although the automatically measured arrival times are less precise than manual reading, leading to increased location scatter. Our automatic workflow of Develocorder films rivals the performance of skilled analysts in earthquake detection, but with minimal human intervention. This image‐based processing offers a new approach for effectively and efficiently extracting earthquake information from analog seismic data.
Cyanobacterial blooms are an issue drawing increasing concern in freshwater lakes and reservoirs in the United States due to the real and sometimes perceived harms they can cause through cyanotoxin production or other effects. These types of blooms are often referred to as cyanobacterial harmful algal blooms (cyanoHABs). Cyanotoxin exposure can potentially lead to human health effects through recreation and consumption of drinking water and may impact fisheries, wildlife, domestic pets, and livestock. Characterizing the societal impacts of cyanotoxin production, exposure, and effects and estimating the potential value of information of an early warning system can inform and support freshwater lake and reservoir management decisions and future research directions. A Bayesian decision tree analysis was utilized to identify uses, users, and benefits of the information provided by this research. Specifically, the potential value related to a cyanoHAB early warning system, based on potential toxicity, was analyzed that would provide information two additional days earlier relative to cyanoHAB toxicity. The evaluation considers the application of this information for freshwater lake management - whether or not to post an advisory or warning to avoid recreational water contact. The model was parameterized with data from the state of Kansas and the value of avoided foregone recreation and avoided health effects was derived. The estimated annual value of information ranges between \\$565 thousand to \\$2.3 million (2018 United States Dollars (USD)) for the state of Kansas alone based on provided assumptions. The results demonstrate a lower bound of the value of a cyanoHAB early warning system and suggest additional research to understand how the use and value of this information could support research prioritization and further illustrate the return on research investment. This analysis does not incorporate the full suite of potential societal costs that may be associated with a cyanoHAB event such as drinking water treatment, impacts to irrigation, or power generation.
Hurricane Maria struck the island of Puerto Rico on September 20, 2017, as a Category 4 storm. The hurricane traversed the island from southeast to northwest and produced recorded 48-hour rainfall totals of up to 30.01 inches. Estimates of the human death toll range from 2,975 to 4,645, possibly more.
The U.S. Geological Survey (USGS) hydrologic monitoring network sustained substantial wind and flood damage during the hurricane. Eighty-five of the 300 hydrologic monitoring stations operating in Puerto Rico and the U.S. Virgin Islands prior to the passage of Hurricane Maria were destroyed or damaged. During the weeks and months after the hurricane, USGS field crews in Puerto Rico prioritized repair of the hydrologic monitoring network and collected hydrologic information to characterize the magnitude of observed peak streamflows at 20 streamgage and to develop new theoretical stage-streamflow relations for 58 streamgages where stream channels were substantially altered; the theoretical stage-streamflow relations were used to estimate Hurricane Maria peak streamflows for 39 of those sites. As part of a pilot program, USGS field crews installed continuous slope-area monitoring equipment at two remote streamgages to automate the collection of high-streamflow stage data.
Hurricane Maria peak streamflows and rankings were determined for 73 USGS streamgages in Puerto Rico. New rank 1 period-of-record peak streamflows occurred at 28 sites, rank 2 period-of-record peak streamflows occurred at 17 sites, and rank 3 period-of-record peak streamflows occurred at 9 sites; period-of-record peak streamflows at the remaining 19 sites either ranked from 4th to 20th or were not ranked. Annual exceedance probabilities for 53 unregulated peak streamflows ranged from greater than 50.0 percent (recurrence interval of less than 2 years) to 0.3 percent (recurrence interval of 333 years), with the majority (28 of 53) in the range of 10.0–2.1 percent (recurrence intervals of 10–48 years).
A comparison of period-of-record ranks for the largest flood events that have occurred in Puerto Rico since the 1960s indicated that Hurricane Maria produced more record peak streamflows than either Hurricane Hortense in 1996 or Hurricane Georges in 1998. Limited pre-1960s hydrologic data preclude quantitative comparison with earlier storms.
As part of this study, a maximum peak-streamflow envelope curve for Puerto Rico was developed using historical peak-streamflow information available through 2017. Other post-Hurricane Maria USGS activities summarized in this report include (1) Global Navigation Satellite System surveys at all stations in the USGS hydrologic monitoring network, used to tie the network to the Puerto Rico Vertical Datum of 2002; and (2) telemetered monitoring of the Lago Guajataca Dam in northwestern Puerto Rico, which was damaged and at risk of failure from October to December 2017.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225040","collaboration":"Prepared in collaboration with the U.S. Army Corps of Engineers, Federal Emergency Management Agency, National Oceanic and Atmospheric Administration, Puerto Rico Electric Power Authority, Puerto Rico Aqueduct and Sewer Authority, and Puerto Rico Department of Natural and Environmental Resources","usgsCitation":"Gómez-Fragoso, J., Smith, M., and Santiago, M., 2022, U.S. Geological Survey response to Hurricane Maria flooding in Puerto Rico and characterization of peak streamflows observed September 20–22, 2017 (ver. 1.1, July 2022): U.S. Geological Survey Scientific Investigations Report 2022–5040, 105 p., 6 app., 1 pl., https://doi.org/10.3133/sir20225040.","productDescription":"Report: ix, 105 p.; 6 Appendixes; 1 Plate: 33.08 × 18.40 inches; Data Release; Dataset","numberOfPages":"120","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-125005","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":402425,"rank":13,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the Nation"},{"id":402421,"rank":9,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2022/5040/sir20225040_appendix5.csv","text":"Appendix 5","size":"41.3 kB","linkFileType":{"id":7,"text":"csv"},"description":"SIR 2022–5040, appendix 5"},{"id":402422,"rank":10,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2022/5040/sir20225040_appendix6.xlsx","text":"Appendix 6","size":"32.4 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2022–5040, appendix 6"},{"id":402416,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5040/images"},{"id":402417,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2022/5040/sir20225040_plate1.pdf","text":"Plate 1","size":"22.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022–5040, plate 1"},{"id":402418,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2022/5040/sir20225040_appendix1.xlsx","text":"Appendix 1","size":"49.8 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2022–5040, appendix 1"},{"id":402420,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2022/5040/sir20225040_appendix5.xlsx","text":"Appendix 5","size":"69.2 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2022–5040, appendix 5"},{"id":402423,"rank":11,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2022/5040/sir20225040_appendix6.csv","text":"Appendix 6","size":"19.9 kB","linkFileType":{"id":7,"text":"csv"},"description":"SIR 2022–5040, appendix 6"},{"id":402424,"rank":12,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P908UR17","text":"USGS data release","linkHelpText":"Data files for USGS response to Hurricane Maria flooding in Puerto Rico and characterization of peak streamflows observed September 20–22, 2017"},{"id":402413,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5040/coverthb2.jpg"},{"id":402414,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5040/sir20225040.pdf","text":"Report","size":"23.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022–5040"},{"id":403270,"rank":15,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2022/5040/versionHist.txt","size":"1 kB","linkFileType":{"id":2,"text":"txt"}},{"id":502395,"rank":16,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113222.htm","linkFileType":{"id":5,"text":"html"}},{"id":402698,"rank":14,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/sir20225040/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":402419,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2022/5040/sir20225040_appendix1.csv","text":"Appendix 1","size":"35.1 kB","linkFileType":{"id":7,"text":"csv"},"description":"SIR 2022–5040, appendix 1"},{"id":402415,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5040/sir20225040.XML"}],"country":"United States","state":"Puerto Rico","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-65.3277,18.295843],[-65.337451,18.308308],[-65.327318,18.323666],[-65.342068,18.34529],[-65.335701,18.349535],[-65.329334,18.341955],[-65.321754,18.338316],[-65.309833,18.337973],[-65.304409,18.332054],[-65.298328,18.330529],[-65.255933,18.342117],[-65.221568,18.320959],[-65.222853,18.310464],[-65.249857,18.296691],[-65.260282,18.290823],[-65.283269,18.280214],[-65.3277,18.295843]]],[[[-67.89174,18.11397],[-67.887099,18.112574],[-67.87643,18.114157],[-67.869804,18.118851],[-67.861548,18.122144],[-67.848245,18.10832],[-67.843202,18.094858],[-67.843615,18.085099],[-67.845293,18.081938],[-67.853098,18.078195],[-67.865598,18.06544],[-67.871462,18.0578],[-67.895921,18.052342],[-67.904431,18.05913],[-67.918778,18.063116],[-67.927841,18.068572],[-67.940799,18.079716],[-67.934479,18.111306],[-67.932185,18.113221],[-67.91088,18.119668],[-67.89174,18.11397]]],[[[-65.308717,18.145172],[-65.302295,18.141089],[-65.294896,18.14283],[-65.287962,18.148097],[-65.275165,18.13443],[-65.276214,18.131936],[-65.283248,18.132999],[-65.296036,18.12799],[-65.322794,18.126589],[-65.327184,18.124106],[-65.338506,18.112439],[-65.342037,18.11138],[-65.350493,18.111914],[-65.364733,18.120377],[-65.397837,18.110873],[-65.399791,18.108832],[-65.411767,18.106211],[-65.423765,18.097764],[-65.426311,18.093749],[-65.45138,18.086096],[-65.45681,18.087778],[-65.465849,18.087715],[-65.468768,18.092643],[-65.47979,18.096352],[-65.507265,18.091646],[-65.524209,18.081977],[-65.542087,18.081177],[-65.558646,18.08566],[-65.569305,18.091616],[-65.570628,18.097325],[-65.57686,18.103224],[-65.575579,18.115669],[-65.546199,18.119329],[-65.511712,18.13284],[-65.489829,18.135912],[-65.46791,18.143767],[-65.437058,18.15766],[-65.399517,18.161935],[-65.371373,18.157517],[-65.334289,18.147761],[-65.313476,18.144296],[-65.308717,18.145172]]],[[[-66.438813,18.485713],[-66.420921,18.488639],[-66.410344,18.489886],[-66.394287,18.489748],[-66.377286,18.488044],[-66.37282,18.487726],[-66.349647,18.486335],[-66.337728,18.48562],[-66.315477,18.474724],[-66.31503,18.47468],[-66.291225,18.472347],[-66.283675,18.472203],[-66.276599,18.478129],[-66.269799,18.480281],[-66.258015,18.476906],[-66.251547,18.472464],[-66.241797,18.46874],[-66.220148,18.466],[-66.199032,18.466163],[-66.192664,18.466212],[-66.183886,18.460506],[-66.179218,18.455305],[-66.172315,18.451462],[-66.159796,18.451706],[-66.153037,18.454457],[-66.14395,18.459761],[-66.139572,18.462317],[-66.139451,18.462387],[-66.139443,18.462315],[-66.138532,18.453305],[-66.133085,18.445881],[-66.127938,18.444632],[-66.125198,18.451209],[-66.124284,18.456324],[-66.123188,18.45943],[-66.123343,18.460363],[-66.125015,18.470435],[-66.118338,18.469581],[-66.092098,18.466535],[-66.083254,18.462022],[-66.073987,18.4581],[-66.043272,18.453655],[-66.03944,18.454441],[-66.036559,18.450216],[-66.036491,18.450117],[-66.023221,18.443875],[-66.006523,18.444347],[-65.99718,18.449895],[-65.992935,18.457489],[-65.992793,18.458102],[-65.992349,18.460024],[-65.99079,18.460419],[-65.958492,18.451354],[-65.92567,18.444881],[-65.916843,18.444619],[-65.907756,18.446893],[-65.904988,18.450926],[-65.878683,18.438322],[-65.838825,18.431865],[-65.831476,18.426849],[-65.828457,18.423543],[-65.816691,18.410663],[-65.794556,18.402845],[-65.787666,18.402544],[-65.774937,18.413951],[-65.77053,18.41294],[-65.769749,18.409473],[-65.771695,18.406277],[-65.750455,18.385208],[-65.750179,18.38505],[-65.742154,18.380459],[-65.733567,18.382211],[-65.699069,18.368156],[-65.669636,18.362102],[-65.668845,18.361939],[-65.634431,18.369835],[-65.627246,18.376436],[-65.626527,18.381728],[-65.624975,18.386553],[-65.622761,18.387771],[-65.618229,18.386496],[-65.614891,18.382473],[-65.619068,18.367755],[-65.628198,18.353711],[-65.63419,18.338965],[-65.628047,18.328252],[-65.626456,18.298982],[-65.634389,18.292349],[-65.635826,18.288271],[-65.634893,18.283923],[-65.630833,18.264989],[-65.623111,18.248012],[-65.597618,18.234289],[-65.589947,18.228225],[-65.593795,18.224059],[-65.615981,18.227389],[-65.626731,18.235484],[-65.638181,18.229121],[-65.637565,18.224444],[-65.628414,18.205149],[-65.635281,18.199975],[-65.639688,18.205656],[-65.662185,18.207018],[-65.664127,18.207136],[-65.690749,18.19499],[-65.694515,18.187011],[-65.691021,18.178998],[-65.695856,18.179324],[-65.710895,18.186963],[-65.712533,18.189146],[-65.717999,18.190176],[-65.728471,18.185588],[-65.734664,18.180368],[-65.738834,18.174066],[-65.739125,18.173453],[-65.743632,18.163957],[-65.758728,18.156601],[-65.766919,18.148424],[-65.777584,18.129239],[-65.796711,18.083746],[-65.796289,18.079835],[-65.794686,18.078607],[-65.795028,18.073561],[-65.796711,18.069842],[-65.801831,18.058527],[-65.809174,18.056818],[-65.817107,18.063378],[-65.825848,18.057482],[-65.83109,18.050664],[-65.834274,18.038988],[-65.832429,18.014916],[-65.839591,18.015077],[-65.850913,18.011954],[-65.870335,18.006597],[-65.875122,18.002826],[-65.884937,17.988521],[-65.896102,17.99026],[-65.905319,17.983974],[-65.910537,17.981855],[-65.924738,17.976087],[-65.976611,17.967669],[-65.98455,17.969411],[-65.985358,17.971854],[-65.995185,17.978989],[-66.007731,17.980541],[-66.017308,17.979583],[-66.019539,17.978354],[-66.024,17.975896],[-66.046585,17.954853],[-66.049033,17.954561],[-66.058217,17.959238],[-66.068678,17.966335],[-66.069979,17.966357],[-66.08141,17.966552],[-66.116194,17.949141],[-66.127009,17.946953],[-66.140661,17.94102],[-66.147912,17.933963],[-66.155387,17.929406],[-66.159742,17.928613],[-66.161232,17.931747],[-66.175626,17.933565],[-66.186914,17.935363],[-66.189726,17.933936],[-66.200174,17.929515],[-66.206961,17.932268],[-66.213374,17.944614],[-66.202655,17.944753],[-66.185554,17.940997],[-66.179548,17.943727],[-66.174839,17.948214],[-66.176814,17.950438],[-66.206207,17.96305],[-66.206807,17.963307],[-66.215355,17.959376],[-66.218081,17.95729],[-66.231519,17.943912],[-66.229181,17.934651],[-66.232013,17.931154],[-66.252737,17.934574],[-66.260684,17.936083],[-66.270905,17.947098],[-66.275651,17.94826],[-66.290782,17.946491],[-66.297679,17.959148],[-66.31695,17.976683],[-66.323659,17.978536],[-66.338152,17.976492],[-66.33839,17.976458],[-66.362511,17.968231],[-66.365098,17.964832],[-66.368777,17.957717],[-66.371591,17.951469],[-66.385059,17.939004],[-66.391227,17.945819],[-66.398945,17.950925],[-66.412131,17.957286],[-66.445481,17.979379],[-66.450368,17.983226],[-66.454888,17.986784],[-66.461342,17.990273],[-66.491396,17.990262],[-66.510143,17.985618],[-66.540537,17.975476],[-66.583233,17.961229],[-66.589658,17.969386],[-66.594392,17.970682],[-66.605035,17.969015],[-66.623788,17.98105],[-66.631944,17.982746],[-66.645651,17.98026],[-66.657797,17.974605],[-66.664391,17.968259],[-66.672819,17.966451],[-66.699115,17.977568],[-66.709856,17.982109],[-66.713394,17.987763],[-66.716957,17.990344],[-66.731118,17.991658],[-66.746248,17.990349],[-66.750427,17.995443],[-66.753964,17.99959],[-66.755341,18.001203],[-66.764491,18.006317],[-66.770307,18.005955],[-66.799656,17.99245],[-66.806866,17.983786],[-66.807924,17.979606],[-66.806903,17.976046],[-66.805683,17.975052],[-66.795106,17.977438],[-66.789302,17.980793],[-66.784953,17.978326],[-66.787245,17.972914],[-66.80827,17.965635],[-66.8224,17.954499],[-66.838584,17.949931],[-66.852288,17.955004],[-66.856474,17.956553],[-66.859471,17.954316],[-66.862545,17.952022],[-66.871697,17.952707],[-66.88344,17.952526],[-66.899639,17.948298],[-66.904585,17.950527],[-66.906532,17.955356],[-66.906276,17.963368],[-66.924529,17.972808],[-66.928651,17.970204],[-66.930414,17.963127],[-66.916127,17.959102],[-66.909483,17.952559],[-66.909359,17.94988],[-66.912522,17.947446],[-66.930313,17.943389],[-66.932636,17.939998],[-66.931581,17.9369],[-66.919298,17.932062],[-66.923826,17.926923],[-66.927261,17.926875],[-66.959998,17.940216],[-66.980516,17.951648],[-66.98105,17.952505],[-66.982669,17.9551],[-66.982206,17.961192],[-66.987287,17.970663],[-66.996738,17.972899],[-67.003972,17.970799],[-67.014744,17.968468],[-67.024522,17.970722],[-67.062478,17.973819],[-67.076534,17.967759],[-67.089827,17.951418],[-67.101468,17.946621],[-67.109985,17.945806],[-67.109986,17.945806],[-67.128251,17.948153],[-67.133733,17.951919],[-67.167031,17.963073],[-67.178566,17.964792],[-67.183508,17.962706],[-67.188717,17.950989],[-67.187474,17.946252],[-67.183694,17.937982],[-67.183457,17.931135],[-67.194785,17.932826],[-67.196924,17.935651],[-67.197273,17.937461],[-67.197517,17.941514],[-67.197668,17.943549],[-67.198988,17.94782],[-67.200973,17.949896],[-67.210034,17.953595],[-67.212101,17.956027],[-67.21433,17.962436],[-67.215271,17.983464],[-67.211973,17.992993],[-67.207694,17.998019],[-67.177893,18.008882],[-67.174299,18.011149],[-67.172397,18.014906],[-67.172138,18.021422],[-67.173761,18.024548],[-67.193269,18.03185],[-67.209887,18.035439],[-67.196694,18.066491],[-67.190656,18.064269],[-67.184589,18.06775],[-67.183938,18.069914],[-67.186465,18.074195],[-67.192999,18.076877],[-67.198212,18.076828],[-67.199314,18.091135],[-67.19529,18.096149],[-67.183921,18.103683],[-67.182182,18.108507],[-67.176554,18.151046],[-67.178618,18.159318],[-67.180822,18.168055],[-67.180701,18.168182],[-67.155185,18.195001],[-67.152665,18.203493],[-67.158001,18.216719],[-67.173,18.230666],[-67.175429,18.248008],[-67.187843,18.266671],[-67.187873,18.266874],[-67.189971,18.281015],[-67.196056,18.290443],[-67.209963,18.294974],[-67.225403,18.296648],[-67.226081,18.296722],[-67.235137,18.299935],[-67.267484,18.353149],[-67.27135,18.362329],[-67.268259,18.366989],[-67.260671,18.370197],[-67.23909,18.375318],[-67.226744,18.378247],[-67.216998,18.382078],[-67.202167,18.389908],[-67.160144,18.415587],[-67.159608,18.415915],[-67.156599,18.418983],[-67.155245,18.424401],[-67.156619,18.439562],[-67.161746,18.453462],[-67.169011,18.466352],[-67.169016,18.478488],[-67.164144,18.487396],[-67.14283,18.505485],[-67.138249,18.507776],[-67.125655,18.511706],[-67.103468,18.514523],[-67.093752,18.515757],[-67.07929,18.513256],[-67.020276,18.510603],[-66.988958,18.497724],[-66.95954,18.489878],[-66.957733,18.489129],[-66.957517,18.489171],[-66.944636,18.491693],[-66.906872,18.483556],[-66.90143,18.484552],[-66.867386,18.490785],[-66.849673,18.490745],[-66.83694,18.487659],[-66.836635,18.487701],[-66.79932,18.492775],[-66.780311,18.491411],[-66.764893,18.484097],[-66.749301,18.476701],[-66.742067,18.474681],[-66.733986,18.473457],[-66.710743,18.472611],[-66.683719,18.481367],[-66.679876,18.484944],[-66.664364,18.487809],[-66.645839,18.488777],[-66.624618,18.494199],[-66.586778,18.484948],[-66.584074,18.484287],[-66.565241,18.485523],[-66.562916,18.48845],[-66.563485,18.490512],[-66.558503,18.489987],[-66.53484,18.481253],[-66.533487,18.481663],[-66.529476,18.482877],[-66.511609,18.476848],[-66.470292,18.46907],[-66.456486,18.46892],[-66.449184,18.470991],[-66.441852,18.479751],[-66.439961,18.485525],[-66.438813,18.485713]]]]},\"properties\":{\"name\":\"Puerto Rico\",\"nation\":\"USA \"}}]}","edition":"Version 1.0: June 29, 2022; Version 1.1: July 13, 2022","contact":"Director, Caribbean-Florida Water Science Center
U.S. Geological Survey
4446 Pet Lane, Suite 108
Lutz, FL 33559
The Lucerne Valley is in the southwestern part of the Mojave Desert and is about 75 miles northeast of Los Angeles, California. The Lucerne Valley groundwater basin encompasses about 230 square miles and is separated from the Upper Mojave Valley groundwater basin by splays of the Helendale Fault. Since its settlement, groundwater has been the primary source of water for agricultural, industrial, municipal, and domestic uses. Groundwater withdrawal from pumping has exceeded the amount of water recharged to the basin, causing groundwater declines of more than 100 feet between 1917 and 2016 in the center of the basin. The continued withdrawal has resulted in an increase in pumping costs, reduced well efficiency, and land subsidence near Lucerne Lake. Although the volume of pumping has declined in recent years, there is concern that new agricultural growth and limits on imported water will continue to strain the sustainability of the groundwater system.
To address these concerns, the U.S. Geological Survey entered into a cooperative agreement with the Mojave Water Agency to develop a better understanding of the Lucerne Valley hydrogeologic system and provide tools to help evaluate and manage the effects of future development in the Lucerne Valley. The objectives of this study were to (1) improve the understanding of the aquifer system, (2) improve the understanding of subsidence in the basin, and (3) incorporate the understanding into a groundwater-flow model that can be used to help manage the groundwater resources in the Lucerne Valley. The model developed for this study covers the period of 1942–2016 and can help evaluate various proposed water-management scenarios during different climatic and hydrologic conditions.
The aquifer system consists of a shallow aquifer, a confining unit, and middle and lower aquifers. These layered water-bearing units were identified based on geologic units of the mostly unconsolidated sediments and hydrologic properties. These alluvial deposits consist of clay, silt, sand, and gravel; some places also contain clay and silty clay lacustrine deposits. Several faults act, at least in part, as barriers to groundwater flow on the eastern, southern, and western edges of the basin. Present-day natural recharge is primarily from the infiltration of runoff from the San Bernardino Mountains to the south; however, stable and radioactive isotopes show that groundwater from the middle of the Lucerne Valley was older than about 10,000 years and probably was recharged as infiltration from streams draining the mountains in the Mojave Desert to the north, which probably does not occur under present-day climatic conditions. The annual average natural recharge for 1942–2016, estimated by a Basin Characterization Model, was about 635 acre-feet per year; the average amount of treated wastewater effluent transferred to the Lucerne Valley for artificial recharge annually ranged from about 1,500 to 4,000 acre-feet per year during 1980–2016. Pumpage estimates for 1942–2016 ranged from about 3,000 acre-feet in 1942 to about 18,300 acre-feet in 1984. The total cumulative amount of groundwater removed from the basin by pumping between 1942 and 2016 was estimated to be about 700,000 acre-feet, which was about 10 times greater than the cumulative amount of recharge to the entire Lucerne Valley groundwater basin. Before groundwater development, the direction of groundwater flow was from the southern part of the basin northward to discharge areas near Lucerne Lake, where it discharged through springs along the Helendale Fault and by evapotranspiration. Since the early 1900s, groundwater-level declines have mostly eliminated the areas where natural discharge occurred and exceeded 100 feet in the middle of the basin between the early 1950s and mid-1990s, and as much as 25 feet near the margins from about the mid-1950s to 2000s. A decrease in the rate of pumping after the mid-1990s lessened the hydraulic stress on the middle and lower aquifers and enabled hydraulic heads in the middle of the basin to recover slightly as groundwater near the margins of the basin moved toward the pumping depression. Although trends in groundwater levels in the center of the basin have reversed since the mid-1990s, levels at the basin margins continue to decline as the movement of groundwater from the margins fills the pumping depression and gradually flattens the groundwater table throughout the basin.
The long-term extraction of groundwater and associated dewatering of the fine-grained sediments present within the aquifer system has resulted in aquifer compaction and consequently land subsidence, primarily near Lucerne Lake. Analysis of interferometric synthetic aperture radar data shows that almost 11 inches of land subsidence has occurred south of Lucerne Lake between April 1992 and November 2009; less subsidence occurred elsewhere in the basin during this period. This differential land subsidence has caused fissures and cracks in the ground surface, which have buckled the pavement and undercut roads in several locations.
The Lucerne Valley Hydrologic Model was developed using the finite-difference groundwater modeling software One Water Hydrologic Model to represent the hydrologic conditions and stresses during 1942–2016. The model has a uniform grid of approximately 92 acres per cell (2,000 feet by 2,000 feet) and has four layers representing the water-bearing units. The results from the calibrated model simulations indicated that groundwater pumpage exceeded recharge, resulting in an estimated net cumulative depletion of groundwater storage (discharge minus recharge) of about 465,000 acre-feet from 1942 to 2016. The model simulated as much as 7.5 feet (90 inches; 2,286 millimeters) of aquifer compaction, which indicates the extensive fine-grained deposits and measured subsidence near Lucerne Lake.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225048","collaboration":"Prepared in cooperation with the Mojave Water Agency","usgsCitation":"Stamos, C.L., Larsen, J.D., Powell, R.E., Matti, J.C., and Martin, P., 2022, Hydrogeology and simulation of groundwater flow in the Lucerne Valley groundwater basin, California: U.S. Geological Survey Scientific Investigations Report 2022-5048, 120 p., https://doi.org/10.3133/sir20225048.","productDescription":"Report: xi, 120 p.; Appendix; Data Release","numberOfPages":"120","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-095487","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":403187,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20221063","text":"Open-File Report 2022-1063","description":"Fackrell, J.K., 2022, Groundwater quality of the Lucerne Valley groundwater basin, California: U.S. Geological Survey Open-File Report 2022-1063, 19 p., https://doi.org/10.3133/ofr20221063.","linkHelpText":"- Groundwater Quality of the Lucerne Valley Groundwater Basin, California"},{"id":402644,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94W41EL","text":"MODFLOW-OWHM model used to simulate groundwater flow and evaluate storage in the Lucerne Valley Groundwater Basin, California","description":"Larsen, J.D., 2022, MODFLOW-OWHM model used to simulate groundwater flow and evaluate storage in the Lucerne Valley Groundwater Basin, California: U.S. Geological Survey data release, https://doi.org/10.5066/P94W41EL."},{"id":402643,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2022/5048/sir20225048_appendix1.txt","text":"Appendix 1","size":"27 KB","linkFileType":{"id":2,"text":"txt"},"linkHelpText":"- Sites with groundwater-level data available on the U. S. Geological Survey National Water Inventory System Web service (NWISWeb) from 1911-2016 within the Lucerne Valley, California"},{"id":402641,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5048/sir20225048.xml"},{"id":402640,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5048/sir20225048.pdf","text":"Report","size":"20 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022-5048"},{"id":402639,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5048/covrthb.jpg"},{"id":402695,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20225048/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2022-5048"},{"id":402642,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5048/images"}],"country":"United States","state":"California","otherGeospatial":"Lucerne Valley Groundwater Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.666667,\n 34.266667\n ],\n [\n -117.083333,\n 34.266667\n ],\n [\n -117.083333,\n 34.666667\n ],\n [\n -116.666667,\n 34.666667\n ],\n [\n -116.666667,\n 34.266667\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director,
California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
In this study we examine the potential effects of three predicted sea level rise (SLR) scenarios on the nearshore eelgrass (Zostera marina L.) and surf smelt (Hypomesus pretiosus) spawning habitats along a beach on Bainbridge Island, Washington. Baseline bathymetric, geomorphological, and biological surveys were conducted to determine the existing conditions at the study site. The results of these surveys were coupled with a predictive model that estimates SLR-induced changes to coastal ecosystems based upon local topography and land-cover data. This model simulates the changes in nearshore habitat through time. The model inputs for SLR are probable values reported by the Intergovernmental Panel on Climate Change, and by user-defined values. The predicted effects of SLR are presented as (1) habitat type change and (2) the graphic response of developed dry land depicting the influence of shoreline armoring. This report describes the geophysical and biological characteristics at the Bainbridge Island study site, the modeling methods used to produce depictions of habitat changes, and a possible decrease in surf smelt spawning and an increase in eelgrass habitat availability in response to increases in sea level.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221054","usgsCitation":"Smith, C.D., and Liedtke, T.L., 2022, Potential effects of sea level rise on nearshore habitat availability for surf smelt (Hypomesus pretiosus) and eelgrass (Zostera marina), Puget Sound, Washington: U.S. Geological Survey Open-File Report 2022–1054, 17 p., https://doi.org/10.3133/ofr20221054.","productDescription":"Report: v, 17 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-117971","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":402574,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HGJ3ZH","text":"USGS data release","description":"USGS Data Release.","linkHelpText":"Data collected in 2010 to evaluate habitat availability for surf smelt and eelgrass in response to sea level rise on Bainbridge Island, Puget Sound, Washington State, USA"},{"id":402572,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1054/coverthb.jpg"},{"id":402573,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1054/ofr20221054.pdf","text":"Report","size":"21.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2022-1054"},{"id":402619,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/ofr20221054/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2022-1054"},{"id":402575,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2022/1054/images"},{"id":402576,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2022/1054/ofr20221054.XML"},{"id":501780,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113219.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.6678466796875,\n 47.487513008956554\n ],\n [\n -122.23937988281251,\n 47.487513008956554\n ],\n [\n -122.23937988281251,\n 47.964180715412276\n ],\n [\n -122.6678466796875,\n 47.964180715412276\n ],\n [\n -122.6678466796875,\n 47.487513008956554\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115-5016
Land cover maps are essential for characterizing the biophysical properties of the Earth’s land areas. Because land cover information synthesizes a rich array of information related to both the ecological condition of land areas and their exploitation by humans, they are widely used for basic and applied research that requires information related to land surface properties (e.g., terrestrial carbon models, water balance models, weather, and climate models) and are core inputs to models and analyses used by natural resource scientists and land managers. As the Earth’s global population has grown over the last several decades rates of land cover change have increased dramatically, with enormous impacts on ecosystem services (e.g., biodiversity, water supply, carbon sequestration, etc.). Hence, accurate information related to land cover is essential for both managing natural resources and for understanding society’s ecological, biophysical, and resource management footprint. To address the need for high-quality land cover information we are using the global record of Landsat observations to compile annual maps of global land cover from 2001 to 2020 at 30 m spatial resolution. To create these maps we use features derived from time series of Landsat imagery in combination with ancillary geospatial data and a large database of training sites to classify land cover at annual time step. The algorithm that we apply uses temporal segmentation to identify periods with stable land cover that are separated by breakpoints in the time series. Here we provide an overview of the methods and data sets we are using to create global maps of land cover. We describe the algorithms used to create these maps and the core land cover data sets that we are creating through this effort, and we summarize our approach to accuracy assessment. We also present a synthesis of early results and discuss the strengths and weaknesses of our early map products and the challenges that we have encountered in creating global land cover data sets from Landsat. Initial accuracy assessment for North America shows good overall accuracy (77.0 ± 2.0% correctly classified) and 79.8% agreement with the European Space Agency (ESA) WorldCover product. The land cover mapping results we report provide the foundation for robust, repeatable, and accurate mapping of global land cover and land cover change across multiple decades at 30 m spatial resolution from Landsat.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/frsen.2022.894571","usgsCitation":"Friedl, M.A., Woodcock, C.E., Olofsson, P., Zhu, Z., Loveland, T., Stanimirova, R., Arevalo, P., Bullock, E.L., Hu, K., Zhang, Y., Turlej, K., Tarrio, K., Kristina, M., Gorelick, N., Wang, J.A., Barber, C., and Souza Jr., C., 2022, Medium spatial resolution mapping of global land cover and land cover change across multiple decades from Landsat: Frontiers in Remote Sensing, v. 3, 894571, 15 p., https://doi.org/10.3389/frsen.2022.894571.","productDescription":"894571, 15 p.","ipdsId":"IP-142442","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":447282,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/frsen.2022.894571","text":"Publisher Index Page"},{"id":429402,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","noUsgsAuthors":false,"publicationDate":"2022-06-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Friedl, Mark A.","contributorId":337043,"corporation":false,"usgs":false,"family":"Friedl","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":80956,"text":"University of Boston","active":true,"usgs":false}],"preferred":false,"id":901837,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woodcock, Curtis E.","contributorId":294423,"corporation":false,"usgs":false,"family":"Woodcock","given":"Curtis","email":"","middleInitial":"E.","affiliations":[{"id":13570,"text":"Boston University","active":true,"usgs":false}],"preferred":false,"id":901838,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Olofsson, Pontus","contributorId":131007,"corporation":false,"usgs":false,"family":"Olofsson","given":"Pontus","email":"","affiliations":[{"id":7208,"text":"Department of Earth and Environment, Boston University","active":true,"usgs":false}],"preferred":false,"id":901839,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhu, Zhe 0000-0003-4716-2309","orcid":"https://orcid.org/0000-0003-4716-2309","contributorId":272038,"corporation":false,"usgs":false,"family":"Zhu","given":"Zhe","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":901840,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loveland, Thomas R. 0000-0003-3114-6646","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":337044,"corporation":false,"usgs":false,"family":"Loveland","given":"Thomas R.","affiliations":[{"id":7248,"text":"emeritus USGS","active":true,"usgs":false}],"preferred":false,"id":901841,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stanimirova, Radost","contributorId":337045,"corporation":false,"usgs":false,"family":"Stanimirova","given":"Radost","email":"","affiliations":[{"id":80956,"text":"University of Boston","active":true,"usgs":false}],"preferred":false,"id":901842,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Arevalo, Paulo","contributorId":337046,"corporation":false,"usgs":false,"family":"Arevalo","given":"Paulo","email":"","affiliations":[{"id":80956,"text":"University of Boston","active":true,"usgs":false}],"preferred":false,"id":901843,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bullock, Eric L. 0000-0003-3279-6771","orcid":"https://orcid.org/0000-0003-3279-6771","contributorId":224710,"corporation":false,"usgs":false,"family":"Bullock","given":"Eric","email":"","middleInitial":"L.","affiliations":[{"id":40922,"text":"Department of Earth & Environment, Boston University","active":true,"usgs":false}],"preferred":false,"id":901844,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hu, Kai-Ting","contributorId":337047,"corporation":false,"usgs":false,"family":"Hu","given":"Kai-Ting","email":"","affiliations":[{"id":80956,"text":"University of Boston","active":true,"usgs":false}],"preferred":false,"id":901845,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Zhang, Yingtong","contributorId":337048,"corporation":false,"usgs":false,"family":"Zhang","given":"Yingtong","email":"","affiliations":[{"id":80956,"text":"University of Boston","active":true,"usgs":false}],"preferred":false,"id":901846,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Turlej, Konrad","contributorId":337049,"corporation":false,"usgs":false,"family":"Turlej","given":"Konrad","email":"","affiliations":[{"id":78943,"text":"Jagiellonian University","active":true,"usgs":false}],"preferred":false,"id":901847,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Tarrio, Katelyn","contributorId":337050,"corporation":false,"usgs":false,"family":"Tarrio","given":"Katelyn","email":"","affiliations":[{"id":80956,"text":"University of Boston","active":true,"usgs":false}],"preferred":false,"id":901848,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kristina, McAvoy","contributorId":337051,"corporation":false,"usgs":false,"family":"Kristina","given":"McAvoy","email":"","affiliations":[{"id":80956,"text":"University of Boston","active":true,"usgs":false}],"preferred":false,"id":901849,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Gorelick, Noel","contributorId":294417,"corporation":false,"usgs":false,"family":"Gorelick","given":"Noel","affiliations":[{"id":12484,"text":"Google","active":true,"usgs":false}],"preferred":false,"id":901850,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Wang, Jonathan A.","contributorId":337052,"corporation":false,"usgs":false,"family":"Wang","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[{"id":6976,"text":"University of California, Irvine","active":true,"usgs":false}],"preferred":false,"id":901851,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Barber, Christopher P. 0000-0003-0570-1140","orcid":"https://orcid.org/0000-0003-0570-1140","contributorId":223102,"corporation":false,"usgs":true,"family":"Barber","given":"Christopher","middleInitial":"P.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":901852,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Souza Jr., Carlos","contributorId":337053,"corporation":false,"usgs":false,"family":"Souza Jr.","given":"Carlos","affiliations":[{"id":80958,"text":"IMAZON","active":true,"usgs":false}],"preferred":false,"id":901853,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70231886,"text":"70231886 - 2022 - The role of organic matter diversity on the Re-Os systematics of organic-rich sedimentary units: Insights into the controls of isochron age determinations from the lacustrine Green River Formation","interactions":[],"lastModifiedDate":"2022-06-01T12:22:53.418642","indexId":"70231886","displayToPublicDate":"2022-06-28T07:20:33","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"The role of organic matter diversity on the Re-Os systematics of organic-rich sedimentary units: Insights into the controls of isochron age determinations from the lacustrine Green River Formation","docAbstract":"The range of 187Re/188Os values measured from samples of five organic-rich lacustrine mudstones units in the Eocene Green River Formation in the easternmost Uinta Basin covaries with organic matter diversity driven by changing water column conditions. A set of samples from the Douglas Creek Member has the highest pristane/phytane ratio and lowest β-carotane/n-C30 ratio compared to overlying units, indicating deposition in an oxic-anoxic environment with low salinity that would have allowed for the accumulation of a diverse assemblage of aquatic organisms. These samples define the broadest 187Re/188Os range of 1504. In contrast, samples from the R6 and Mahogany zones possess lower pristane/phytane ratios and higher β-carotane/n-C30 ratios indicating deposition in a more restricted lacustrine environment with elevated salinities and alkalinities that would have limited aquatic organic matter diversity. The R6 and Mahogany zones have the narrowest range of 187Re/188Os values measured in this study of 254.9 and 154.6, respectively. As noted by previous workers, these results suggest that organic matter diversity plays a primary role in determining the range of 187Re/188Os ratios in a sample set, and in turn the uncertainty of Re-Os age determinations from organic-rich sedimentary rocks.
The Re-Os data from the R3 zone and R6 zone yield ages of 49.7 ± 3.4 Ma and 42.0 ± 18 Ma, respectively, which are statistically indistinguishable based on 2σ uncertainty from three previously reported Re-Os age determinations and those provided by 40Ar/39Ar geochronology of interbedded volcanic ash beds. Although the age uncertainty is high, these findings further highlight the importance of Re-Os geochronology in lacustrine basins, particularly those with thick mudstone successions that lack volcanic ash layers, reliable biostratigraphy, or magnetostratigraphic control. In these cases, even ages with large uncertainties can be useful to constrain burial history and thermal history models.
Together, the initial 187Os/188Os ratios of five sets of samples analyzed from the Uinta Basin define the largest Os isotope stratigraphic record from any lacustrine basin compiled to date and record a shift from a value of 1.40 to 1.48 between the R3 and R4 zones in the lower part of the Parachute Creek Member. This small shift may signify a change in the chemical weathering products that entered the lake preserved 20 to 50 m above the contact between the Douglas Creek and the lower Parachute Creek members during a period when the basin transitioned from a shallow lake with mostly open hydrology to an alkaline lake with more frequent basin restrictions.
The need to balance economic development with impacts to Arctic wildlife has been a prominent subject since petroleum exploration began on the North Slope of Alaska, USA, in the late 1950s. The North Slope region includes polar bears (Ursus maritimus) of the southern Beaufort Sea subpopulation, which has experienced a long-term decline in abundance. Pregnant polar bears dig dens in snow drifts during winter and are vulnerable to disturbance, as den abandonment and mortality of neonates may result. Maternal denning coincides with the peak season of petroleum exploration and construction, raising concerns that human activities may disrupt denning. To minimize disturbance of denning polar bears, aerial infrared (AIR) surveys are routinely used to search for dens within planned industry activity areas and that information is used to implement mitigation. Aerial infrared surveys target the heat signature emanating from dens. Despite use by industry for >15 years, the efficacy of AIR and the factors that impact its ability to detect dens remains uncertain. Here, we evaluate AIR using artificial dens and observers naïve to locations to estimate detection probability and its relationship with covariates including weather variables, den characteristics, infrared sensor and altitude, and survey order to identify potential evidence of in-flight observer learning occurring between surveys. In December 2019 we constructed 14 dens (each with an artificial heat source), and 11 control sites (disturbed sites without dens). Between December 2019 and January 2020, 3 survey crews flew 6 independent AIR surveys within the vicinity of dens and control sites and video-recorded AIR imagery. Observers identified putative dens either in flight or during post-flight review of recordings. We assessed detection probability with a simple Bayesian model using 3 subsets of data: 1) all detection/non-detection data; 2) detection/non-detection data restricted to instances where sample sites were confirmed to have been properly scanned by AIR during post-study verification (i.e., when den locations were known); and 3) all dens visible on the recorded imagery during post-study verification, even if they were not seen during the survey or during post-flight review. Subsets 1 and 2 most closely resembled den surveys flown for oil and gas industry and had detection probabilities of 0.15 (95% CI = 0.08–0.23) and 0.24 (95% CI = 0.13–0.37), respectively. Detection probability was 0.41 (95% CI = 0.25–0.58) for subset 3. Higher wind speeds and larger den volume negatively influenced detection probability. Our low detection rate compared to previous studies could partially be the result of differences in study design, such as survey flight patterns. Our results suggest that AIR, as it is currently used, is unlikely to detect most polar bear dens in surveyed areas. Resource managers who use AIR should consider a suite of additional methods (e.g., habitat mapping, probabilistic den distribution, AIR methodology improvements) for minimizing impacts of industry on denning polar bears.
An analysis of the potential for deposits of critical minerals and elements in Maine presented here includes data and discussions for antimony, beryllium, cesium, chromium, cobalt, graphite, lithium, manganese, niobium, platinum group elements, rhenium, rare earth elements, tin, tantalum, tellurium, titanium, uranium, vanadium, tungsten, and zirconium. Deposits are divided into two groups based on geological settings and common ore-deposit terminology. One group consists of known deposits (sediment-hosted manganese, volcanogenic massive sulphide, porphyry copper-molybdenum, mafic- and ultramafic-hosted nickel-copper [-cobalt-platinum group elements], pegmatitic lithium-cesium-tantalum) that are in most cases relatively large, well-documented, and have been explored extensively in the past. The second, and much larger group of different minerals and elements, comprises small deposits, prospects, and occurrences that are minimally explored or unexplored. The qualitative assessment used in this study relies on three key criteria: (1) the presence of known deposits, prospects, or mineral occurrences; (2) favourable geologic settings for having certain deposit types based on current ore deposit models; and (3) geochemical anomalies in rocks or stream sediments, including panned concentrates. Among 20 different deposit types considered herein, a high resource potential is assigned only to three: (1) sediment-hosted manganese, (2) mafic- and ultramafic-hosted nickel-copper(-cobalt-platinum group elements), and (3) pegmatitic lithium-cesium-tantalum. Moderate potential is assigned to 11 other deposit types, including: (1) porphyry copper-molybdenum (-rhenium, selenium, tellurium, bismuth, platinum group elements); (2) chromium in ophiolites; (3) platinum group elements in ophiolitic ultramafic rocks; (4) granite-hosted uranium-thorium; (5) tin in granitic plutons and veins; (6) niobium, tantalum, and rare earth elements in alkaline intrusions; (7) tungsten and bismuth in polymetallic veins; (8) vanadium in black shales; (9) antimony in orogenic veins and replacements; (10) tellurium in epithermal deposits; and (11) uranium in peat.
","language":"English","publisher":"Atlantic Geology","doi":"10.4138/atlgeo.2022.007","usgsCitation":"Slack, J.F., Beck, F., Bradley, D., Felch, M.M., Marvinney, R.G., and Whittaker, A., 2022, Potential for critical mineral deposits in Maine, USA: Atlantic Geoscience, v. 58, p. 155-191, https://doi.org/10.4138/atlgeo.2022.007.","productDescription":"37 p.","startPage":"155","endPage":"191","ipdsId":"IP-138621","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":447292,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.4138/atlgeo.2022.007","text":"External Repository"},{"id":418503,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-70.152589,43.746794],[-70.158456,43.751616],[-70.147646,43.758585],[-70.145911,43.772119],[-70.128271,43.774009],[-70.14089,43.753204],[-70.152589,43.746794]]],[[[-70.135957,43.753219],[-70.129721,43.76408],[-70.117688,43.765693],[-70.135957,43.753219]]],[[[-70.171245,43.663498],[-70.205934,43.633633],[-70.211062,43.641842],[-70.200116,43.662978],[-70.188047,43.673762],[-70.171245,43.663498]]],[[[-70.186213,43.682655],[-70.210825,43.661695],[-70.213948,43.666161],[-70.201893,43.685483],[-70.191041,43.689071],[-70.186213,43.682655]]],[[[-70.163884,43.692404],[-70.146115,43.701635],[-70.135563,43.700658],[-70.154503,43.680933],[-70.168227,43.675136],[-70.173571,43.683734],[-70.163884,43.692404]]],[[[-70.087621,43.699913],[-70.093704,43.6918],[-70.099594,43.695366],[-70.115908,43.682978],[-70.118174,43.686375],[-70.093113,43.710524],[-70.097184,43.700929],[-70.087621,43.699913]]],[[[-70.119671,43.748621],[-70.097318,43.757292],[-70.094986,43.753211],[-70.107812,43.734555],[-70.108978,43.722312],[-70.129383,43.70832],[-70.138128,43.718231],[-70.138711,43.727559],[-70.119671,43.748621]]],[[[-68.499465,44.12419],[-68.491521,44.109833],[-68.502942,44.099722],[-68.51706,44.10341],[-68.518703,44.113222],[-68.511266,44.125082],[-68.499465,44.12419]]],[[[-68.358388,44.125082],[-68.346724,44.127749],[-68.331032,44.10758],[-68.338012,44.101473],[-68.365176,44.101464],[-68.375382,44.11646],[-68.358388,44.125082]]],[[[-68.453236,44.189998],[-68.416434,44.187047],[-68.384903,44.154955],[-68.396634,44.14069],[-68.438518,44.11618],[-68.448646,44.125581],[-68.447505,44.133493],[-68.456813,44.145268],[-68.496639,44.146855],[-68.502096,44.152388],[-68.500817,44.160026],[-68.474365,44.181875],[-68.453236,44.189998]]],[[[-68.680773,44.279242],[-68.623554,44.255622],[-68.605906,44.230772],[-68.612749,44.207722],[-68.624994,44.197637],[-68.618872,44.18107],[-68.643002,44.15766],[-68.670014,44.151537],[-68.675056,44.137131],[-68.681899,44.138212],[-68.692343,44.153698],[-68.713232,44.160541],[-68.720435,44.169185],[-68.714313,44.20376],[-68.722956,44.219607],[-68.718635,44.228611],[-68.700627,44.234013],[-68.680458,44.262105],[-68.680773,44.279242]]],[[[-68.355279,44.199096],[-68.333227,44.207308],[-68.314789,44.197157],[-68.321178,44.199032],[-68.332639,44.192131],[-68.339029,44.171839],[-68.347416,44.169459],[-68.378872,44.184222],[-68.364469,44.197534],[-68.355279,44.199096]]],[[[-68.472831,44.219767],[-68.453843,44.201683],[-68.459182,44.197681],[-68.48452,44.202886],[-68.482726,44.227058],[-68.470323,44.22832],[-68.472831,44.219767]]],[[[-68.792139,44.237819],[-68.769833,44.222787],[-68.769047,44.213351],[-68.780055,44.203129],[-68.829593,44.21689],[-68.839422,44.236547],[-68.827627,44.242838],[-68.792139,44.237819]]],[[[-68.23638,44.266254],[-68.214641,44.263156],[-68.211329,44.257074],[-68.24031,44.251622],[-68.240806,44.239723],[-68.248913,44.235443],[-68.274427,44.237099],[-68.274719,44.258675],[-68.246598,44.257836],[-68.23638,44.266254]]],[[[-68.498637,44.369686],[-68.478785,44.319563],[-68.489641,44.313705],[-68.530394,44.333583],[-68.518573,44.381022],[-68.501364,44.382281],[-68.498637,44.369686]]],[[[-68.618212,44.012367],[-68.635315,44.018886],[-68.657031,44.003823],[-68.659874,44.022758],[-68.650767,44.039908],[-68.661594,44.075837],[-68.627893,44.088128],[-68.6181,44.096706],[-68.609722,44.094674],[-68.584074,44.070578],[-68.590792,44.058662],[-68.601099,44.058362],[-68.610703,44.013422],[-68.618212,44.012367]]],[[[-68.785601,44.053503],[-68.818441,44.032046],[-68.874139,44.025359],[-68.889717,44.032516],[-68.899997,44.06696],[-68.913406,44.08519],[-68.908984,44.110001],[-68.944597,44.11284],[-68.917286,44.148239],[-68.847249,44.183017],[-68.825067,44.186338],[-68.819156,44.180462],[-68.82284,44.173693],[-68.818423,44.160978],[-68.782375,44.14531],[-68.792065,44.136759],[-68.818039,44.136852],[-68.820515,44.130198],[-68.815562,44.115836],[-68.806832,44.116339],[-68.790525,44.09292],[-68.772639,44.078439],[-68.77029,44.069566],[-68.785601,44.053503]]],[[[-67.619761,44.519754],[-67.582113,44.513459],[-67.590627,44.49415],[-67.562651,44.472104],[-67.571774,44.453403],[-67.588346,44.449754],[-67.604919,44.502056],[-67.619211,44.506009],[-67.619761,44.519754]]],[[[-68.942826,44.281073],[-68.919301,44.309872],[-68.919325,44.335392],[-68.90353,44.378613],[-68.87894,44.386584],[-68.868444,44.38144],[-68.860649,44.364425],[-68.87169,44.344662],[-68.89285,44.334653],[-68.896587,44.321986],[-68.88746,44.303094],[-68.904255,44.279889],[-68.916872,44.242866],[-68.95189,44.218719],[-68.94709,44.226792],[-68.955332,44.243873],[-68.965896,44.249754],[-68.965264,44.259332],[-68.942826,44.281073]]],[[[-70.353392,43.535405],[-70.379123,43.507202],[-70.385615,43.487031],[-70.380233,43.46423],[-70.349684,43.442032],[-70.370514,43.434133],[-70.384949,43.418839],[-70.39089,43.402607],[-70.421282,43.395777],[-70.427672,43.389254],[-70.424986,43.375928],[-70.460717,43.34325],[-70.517695,43.344037],[-70.553854,43.321886],[-70.593907,43.249295],[-70.576692,43.217651],[-70.618973,43.163625],[-70.638355,43.114182],[-70.655322,43.098008],[-70.665958,43.076234],[-70.703818,43.059825],[-70.708896,43.074989],[-70.737897,43.073488],[-70.756397,43.079988],[-70.766398,43.092688],[-70.779098,43.095887],[-70.8268,43.127086],[-70.8338,43.146886],[-70.823501,43.174585],[-70.828301,43.186685],[-70.819146,43.195157],[-70.811852,43.228306],[-70.817773,43.237408],[-70.837274,43.242321],[-70.843302,43.254321],[-70.858207,43.256286],[-70.861384,43.263143],[-70.881704,43.272483],[-70.886504,43.282783],[-70.906005,43.291682],[-70.900386,43.301358],[-70.91246,43.308289],[-70.912004,43.319821],[-70.93711,43.337367],[-70.956528,43.334691],[-70.967229,43.343777],[-70.985965,43.380023],[-70.98739,43.393457],[-70.982565,43.39778],[-70.987249,43.411863],[-70.96115,43.438321],[-70.9669,43.450458],[-70.961428,43.469696],[-70.974245,43.47742],[-70.967968,43.480783],[-70.954755,43.509802],[-70.954066,43.52261],[-70.963281,43.538929],[-70.950838,43.551026],[-70.972716,43.570255],[-70.989037,43.792154],[-71.031039,44.655455],[-71.084334,45.305293],[-71.059265,45.313753],[-71.030565,45.312652],[-71.00905,45.319022],[-71.002563,45.327819],[-71.011144,45.334679],[-71.01081,45.34725],[-70.985595,45.332188],[-70.950824,45.33453],[-70.939188,45.320177],[-70.917904,45.311924],[-70.912111,45.296197],[-70.9217,45.279445],[-70.898565,45.258502],[-70.898482,45.244088],[-70.885029,45.234873],[-70.857042,45.22916],[-70.83877,45.237555],[-70.848319,45.244707],[-70.848554,45.263325],[-70.839042,45.269132],[-70.829661,45.290369],[-70.812338,45.302006],[-70.808613,45.311606],[-70.808322,45.325824],[-70.816585,45.330554],[-70.819828,45.340109],[-70.81445,45.356544],[-70.803848,45.364247],[-70.806244,45.376558],[-70.826033,45.398408],[-70.795009,45.428145],[-70.755567,45.428361],[-70.744077,45.421091],[-70.743775,45.411925],[-70.729972,45.399359],[-70.712286,45.390611],[-70.677995,45.394362],[-70.66116,45.386039],[-70.660775,45.378176],[-70.651175,45.377123],[-70.634661,45.383608],[-70.631354,45.41634],[-70.635498,45.427817],[-70.649739,45.442771],[-70.674903,45.452399],[-70.691762,45.471233],[-70.717047,45.487732],[-70.721611,45.515058],[-70.687605,45.549099],[-70.688214,45.563981],[-70.659286,45.58688],[-70.644687,45.607083],[-70.592252,45.629865],[-70.5584,45.666671],[-70.525831,45.666551],[-70.469869,45.701639],[-70.438878,45.704387],[-70.400404,45.719834],[-70.383552,45.734869],[-70.388501,45.749717],[-70.406548,45.761813],[-70.417641,45.79377],[-70.395907,45.798885],[-70.39662,45.808486],[-70.387916,45.819043],[-70.34244,45.852192],[-70.306162,45.85974],[-70.259117,45.890755],[-70.253897,45.906524],[-70.263313,45.923832],[-70.240177,45.943729],[-70.26541,45.962692],[-70.31628,45.963113],[-70.307463,45.982541],[-70.284571,45.995384],[-70.303034,45.998976],[-70.317629,46.01908],[-70.278334,46.057019],[-70.284176,46.062758],[-70.310609,46.064544],[-70.284554,46.098713],[-70.254021,46.0996],[-70.255038,46.108348],[-70.237947,46.147378],[-70.278034,46.175001],[-70.292736,46.191599],[-70.272054,46.209833],[-70.248421,46.267072],[-70.232682,46.284428],[-70.205719,46.299865],[-70.203119,46.31438],[-70.208733,46.328961],[-70.191412,46.348072],[-70.174709,46.358472],[-70.148529,46.358923],[-70.129734,46.369384],[-70.125459,46.381352],[-70.11044,46.38611],[-70.096286,46.40943],[-70.057061,46.415036],[-69.997086,46.69523],[-69.22442,47.459686],[-69.203886,47.452203],[-69.178412,47.456615],[-69.146439,47.44886],[-69.082508,47.423976],[-69.061192,47.433052],[-69.043947,47.427634],[-69.036882,47.407977],[-69.045403,47.39191],[-69.039818,47.386309],[-69.053885,47.377878],[-69.054628,47.315911],[-69.049118,47.306471],[-69.052748,47.294403],[-69.047076,47.267089],[-69.050334,47.256621],[-69.033456,47.240984],[-68.966433,47.212712],[-68.96113,47.205582],[-68.942484,47.206386],[-68.920253,47.195048],[-68.919752,47.189859],[-68.902425,47.178839],[-68.857519,47.19095],[-68.812157,47.215461],[-68.764487,47.222331],[-68.717867,47.240919],[-68.705314,47.238066],[-68.687662,47.244215],[-68.664071,47.236762],[-68.619749,47.243218],[-68.595427,47.257698],[-68.59688,47.271731],[-68.578551,47.287551],[-68.553896,47.28225],[-68.517982,47.296092],[-68.474851,47.297534],[-68.448844,47.282547],[-68.378678,47.287561],[-68.376319,47.294257],[-68.384706,47.305094],[-68.380334,47.340242],[-68.355171,47.35707],[-68.329879,47.36023],[-68.303778,47.355524],[-68.284101,47.360389],[-68.265138,47.352543],[-68.234604,47.355035],[-68.214551,47.339637],[-68.15515,47.32542],[-68.152302,47.309878],[-68.137059,47.296068],[-68.082896,47.271921],[-68.074061,47.259764],[-68.019724,47.238036],[-67.991871,47.212042],[-67.955669,47.199542],[-67.935868,47.164843],[-67.893266,47.129943],[-67.881302,47.103913],[-67.790515,47.067921],[-67.781095,45.943032],[-67.777626,45.934207],[-67.750422,45.917898],[-67.763725,45.91043],[-67.767827,45.898568],[-67.803318,45.883718],[-67.803678,45.869379],[-67.796514,45.859961],[-67.755068,45.82367],[-67.780507,45.817622],[-67.801989,45.803546],[-67.806598,45.794723],[-67.806308,45.755405],[-67.793083,45.750559],[-67.781892,45.731189],[-67.809833,45.729274],[-67.803148,45.696127],[-67.817892,45.693705],[-67.803313,45.677886],[-67.768648,45.677581],[-67.754245,45.667791],[-67.720401,45.662522],[-67.71799,45.665243],[-67.73372,45.684233],[-67.734605,45.688987],[-67.729908,45.689012],[-67.710464,45.679372],[-67.675417,45.630959],[-67.64581,45.613597],[-67.640238,45.616178],[-67.644206,45.62322],[-67.639741,45.624771],[-67.606172,45.606533],[-67.499444,45.587014],[-67.488452,45.594643],[-67.491061,45.598917],[-67.455406,45.604665],[-67.429716,45.583773],[-67.420976,45.550029],[-67.425399,45.540795],[-67.432236,45.541023],[-67.435275,45.530781],[-67.432207,45.519996],[-67.416416,45.503515],[-67.462882,45.508691],[-67.470732,45.500067],[-67.503088,45.489688],[-67.499767,45.47805],[-67.482353,45.460825],[-67.484328,45.451955],[-67.473366,45.425328],[-67.430001,45.392965],[-67.418747,45.37726],[-67.434281,45.365438],[-67.427797,45.355471],[-67.434996,45.340133],[-67.456288,45.32644],[-67.452267,45.316839],[-67.460554,45.300379],[-67.466091,45.29416],[-67.485683,45.291433],[-67.489464,45.282653],[-67.46357,45.244097],[-67.453473,45.241127],[-67.43998,45.227047],[-67.428889,45.193213],[-67.407139,45.179425],[-67.404629,45.159926],[-67.383635,45.152259],[-67.345585,45.126392],[-67.294881,45.149666],[-67.302568,45.161348],[-67.291417,45.17145],[-67.290603,45.187589],[-67.283619,45.192022],[-67.246697,45.180765],[-67.242293,45.17224],[-67.227324,45.163652],[-67.203933,45.171407],[-67.157919,45.161004],[-67.112414,45.112323],[-67.090786,45.068721],[-67.105899,45.065786],[-67.117688,45.05673],[-67.082074,45.029608],[-67.068274,45.001014],[-67.05461,44.986764],[-67.033474,44.939923],[-66.984466,44.912557],[-66.990351,44.882551],[-66.978142,44.856963],[-66.996523,44.844654],[-66.986318,44.820657],[-66.975009,44.815495],[-66.952112,44.82007],[-66.950569,44.814539],[-66.961068,44.807269],[-66.979708,44.80736],[-67.02615,44.768199],[-67.04335,44.765071],[-67.05516,44.771442],[-67.062239,44.769543],[-67.073439,44.741957],[-67.098931,44.741311],[-67.103957,44.717444],[-67.128792,44.695421],[-67.139209,44.693849],[-67.155119,44.66944],[-67.169857,44.662105],[-67.186612,44.66265],[-67.192068,44.655515],[-67.189427,44.645533],[-67.234275,44.637201],[-67.251247,44.640825],[-67.274122,44.626345],[-67.27706,44.61795],[-67.273076,44.610873],[-67.293403,44.599265],[-67.314938,44.598215],[-67.32297,44.609394],[-67.310745,44.613212],[-67.293665,44.634316],[-67.292462,44.648455],[-67.309627,44.659316],[-67.307909,44.691295],[-67.300144,44.696752],[-67.299176,44.705705],[-67.308538,44.707454],[-67.355966,44.69906],[-67.376742,44.681852],[-67.381149,44.66947],[-67.367298,44.652472],[-67.363158,44.631825],[-67.377554,44.619757],[-67.386605,44.626974],[-67.405492,44.594236],[-67.428367,44.609136],[-67.457747,44.598014],[-67.492373,44.61795],[-67.493632,44.628863],[-67.505804,44.636837],[-67.522802,44.63306],[-67.530777,44.621938],[-67.543368,44.626554],[-67.551133,44.621938],[-67.575056,44.560659],[-67.562321,44.539435],[-67.568159,44.531117],[-67.648506,44.525403],[-67.660678,44.537575],[-67.685861,44.537155],[-67.702649,44.527922],[-67.698872,44.51575],[-67.71419,44.495238],[-67.733986,44.496252],[-67.743353,44.497418],[-67.742942,44.526453],[-67.753854,44.543661],[-67.774001,44.547438],[-67.779457,44.543661],[-67.781556,44.520577],[-67.79726,44.520685],[-67.808837,44.544081],[-67.839896,44.558771],[-67.845772,44.551636],[-67.843254,44.542822],[-67.856684,44.523934],[-67.851648,44.484901],[-67.868774,44.465272],[-67.868875,44.456881],[-67.851764,44.428695],[-67.855108,44.419434],[-67.868856,44.424672],[-67.878509,44.435585],[-67.887323,44.433066],[-67.899571,44.394078],[-67.913346,44.430128],[-67.926357,44.431807],[-67.931453,44.411848],[-67.955737,44.416278],[-67.961613,44.4125],[-67.961613,44.39907],[-67.978876,44.387034],[-67.985668,44.386917],[-68.000646,44.406624],[-68.010719,44.407464],[-68.019533,44.396971],[-68.01399,44.390255],[-68.034223,44.360456],[-68.044296,44.357938],[-68.043037,44.343667],[-68.049334,44.33073],[-68.067047,44.335692],[-68.076066,44.347925],[-68.077873,44.373047],[-68.086268,44.376405],[-68.092983,44.370949],[-68.11229,44.401588],[-68.119845,44.445658],[-68.117746,44.475038],[-68.150904,44.482383],[-68.17105,44.470211],[-68.194554,44.47189],[-68.189517,44.478605],[-68.192036,44.487419],[-68.213861,44.492456],[-68.223934,44.487],[-68.224354,44.464335],[-68.22939,44.463496],[-68.2445,44.471051],[-68.252474,44.483222],[-68.261708,44.484062],[-68.270522,44.459718],[-68.281015,44.451324],[-68.298223,44.449225],[-68.299063,44.437893],[-68.294865,44.432857],[-68.268423,44.440411],[-68.247438,44.433276],[-68.24366,44.420685],[-68.249956,44.414809],[-68.21554,44.390466],[-68.20354,44.392365],[-68.184532,44.369145],[-68.173608,44.328397],[-68.191924,44.306675],[-68.233435,44.288578],[-68.275139,44.288895],[-68.289409,44.283858],[-68.298223,44.276303],[-68.298643,44.26665],[-68.290818,44.247673],[-68.317588,44.225101],[-68.339498,44.222893],[-68.343132,44.229505],[-68.377982,44.247563],[-68.401268,44.252244],[-68.430946,44.298624],[-68.430853,44.312609],[-68.409027,44.32562],[-68.421619,44.336113],[-68.409867,44.356259],[-68.396552,44.363941],[-68.398035,44.376191],[-68.3581,44.392337],[-68.359082,44.402847],[-68.3791,44.430049],[-68.387678,44.430936],[-68.392559,44.41807],[-68.416412,44.397973],[-68.427874,44.3968],[-68.433901,44.401534],[-68.429648,44.439136],[-68.439281,44.448043],[-68.455095,44.447498],[-68.46382,44.436592],[-68.458849,44.412141],[-68.464106,44.398078],[-68.461072,44.378504],[-68.466109,44.377245],[-68.47828,44.378084],[-68.483317,44.388157],[-68.472824,44.404106],[-68.480379,44.432647],[-68.485415,44.434326],[-68.494649,44.429709],[-68.499686,44.414179],[-68.51452,44.41334],[-68.529905,44.39907],[-68.555088,44.403687],[-68.565161,44.39907],[-68.564741,44.385219],[-68.559285,44.374307],[-68.550051,44.371788],[-68.545434,44.355],[-68.563209,44.333039],[-68.566203,44.313007],[-68.556236,44.300819],[-68.538595,44.299902],[-68.531532,44.290388],[-68.528611,44.276117],[-68.519516,44.265046],[-68.529802,44.249594],[-68.525302,44.227554],[-68.550802,44.236534],[-68.603385,44.27471],[-68.682979,44.299201],[-68.733004,44.328388],[-68.762021,44.329597],[-68.795063,44.30786],[-68.827197,44.31216],[-68.825419,44.334547],[-68.814811,44.362194],[-68.821767,44.40894],[-68.815325,44.42808],[-68.801634,44.434803],[-68.783679,44.473879],[-68.829153,44.462242],[-68.880271,44.428112],[-68.897104,44.450643],[-68.927452,44.448039],[-68.931934,44.43869],[-68.946582,44.429108],[-68.982449,44.426195],[-68.990767,44.415033],[-68.978815,44.38634],[-68.961111,44.375076],[-68.948164,44.355882],[-68.954465,44.32405],[-68.979005,44.296327],[-69.003682,44.294582],[-69.005071,44.274071],[-69.040193,44.233673],[-69.054546,44.171542],[-69.079835,44.160953],[-69.075667,44.129991],[-69.080331,44.117824],[-69.100863,44.104529],[-69.101107,44.093601],[-69.092,44.085734],[-69.050814,44.094888],[-69.031878,44.079036],[-69.048917,44.062506],[-69.056093,44.06949],[-69.067876,44.067596],[-69.079805,44.055256],[-69.073767,44.046135],[-69.125738,44.019623],[-69.124475,44.007419],[-69.170345,43.995637],[-69.193805,43.975543],[-69.19633,43.950504],[-69.203668,43.941806],[-69.259838,43.921427],[-69.267515,43.943667],[-69.280498,43.95744],[-69.31427,43.942951],[-69.319751,43.94487],[-69.304301,43.962068],[-69.331411,43.974311],[-69.351961,43.974748],[-69.366702,43.964755],[-69.388059,43.96434],[-69.398455,43.971804],[-69.421072,43.938261],[-69.423324,43.915507],[-69.459637,43.903316],[-69.483498,43.88028],[-69.50329,43.837673],[-69.514889,43.831298],[-69.513267,43.84479],[-69.520301,43.868498],[-69.524673,43.875639],[-69.543912,43.881615],[-69.54945,43.880012],[-69.545028,43.861241],[-69.552606,43.841347],[-69.572697,43.844012],[-69.578527,43.823316],[-69.588551,43.81836],[-69.604179,43.813551],[-69.604616,43.825793],[-69.592373,43.830895],[-69.589167,43.851299],[-69.594705,43.858878],[-69.604616,43.858004],[-69.621086,43.826814],[-69.634932,43.845907],[-69.649798,43.836287],[-69.653337,43.79103],[-69.664922,43.791033],[-69.685579,43.820546],[-69.705838,43.823024],[-69.714873,43.810264],[-69.719723,43.786685],[-69.752801,43.75594],[-69.780097,43.755397],[-69.778494,43.747089],[-69.835323,43.721125],[-69.838689,43.70514],[-69.851297,43.703581],[-69.855081,43.704746],[-69.858947,43.740531],[-69.868673,43.742701],[-69.862155,43.758962],[-69.869732,43.775656],[-69.884066,43.778035],[-69.903164,43.77239],[-69.927011,43.780174],[-69.948539,43.765948],[-69.958056,43.767786],[-69.982574,43.750801],[-69.992615,43.724793],[-70.001645,43.717666],[-70.006954,43.717065],[-69.998793,43.740385],[-70.001708,43.744466],[-70.041351,43.738053],[-70.034355,43.759041],[-69.99821,43.798684],[-70.002874,43.812093],[-70.011035,43.810927],[-70.026193,43.822587],[-70.023278,43.834247],[-70.002874,43.848239],[-70.009869,43.859315],[-70.019197,43.858733],[-70.064671,43.813259],[-70.06642,43.819672],[-70.080995,43.819672],[-70.107229,43.809178],[-70.142792,43.791688],[-70.153869,43.781194],[-70.153869,43.774781],[-70.176023,43.76079],[-70.17544,43.777113],[-70.190014,43.771866],[-70.197593,43.753211],[-70.194678,43.742134],[-70.217998,43.71998],[-70.216832,43.704822],[-70.23199,43.704822],[-70.251812,43.683251],[-70.254144,43.676839],[-70.242289,43.669544],[-70.240987,43.659132],[-70.211204,43.625765],[-70.217087,43.596717],[-70.214369,43.590445],[-70.20112,43.586515],[-70.196911,43.565146],[-70.206123,43.557627],[-70.231963,43.561118],[-70.244331,43.551849],[-70.261917,43.553687],[-70.272497,43.562616],[-70.307764,43.544315],[-70.353392,43.535405]]]]},\"properties\":{\"name\":\"Maine\",\"nation\":\"USA \"}}]}","volume":"58","noUsgsAuthors":false,"publicationDate":"2022-06-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Slack, John F. 0000-0001-6600-3130 jfslack@usgs.gov","orcid":"https://orcid.org/0000-0001-6600-3130","contributorId":1032,"corporation":false,"usgs":true,"family":"Slack","given":"John","email":"jfslack@usgs.gov","middleInitial":"F.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":876278,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beck, F.M.","contributorId":313567,"corporation":false,"usgs":false,"family":"Beck","given":"F.M.","email":"","affiliations":[],"preferred":false,"id":876279,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradley, D.C.","contributorId":313568,"corporation":false,"usgs":false,"family":"Bradley","given":"D.C.","email":"","affiliations":[],"preferred":false,"id":876280,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Felch, M. M.","contributorId":313569,"corporation":false,"usgs":false,"family":"Felch","given":"M.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":876281,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Marvinney, Robert G.","contributorId":131130,"corporation":false,"usgs":false,"family":"Marvinney","given":"Robert","email":"","middleInitial":"G.","affiliations":[{"id":7257,"text":"Maine Geological Survey","active":true,"usgs":false}],"preferred":false,"id":876282,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Whittaker, A.T.H.","contributorId":313570,"corporation":false,"usgs":false,"family":"Whittaker","given":"A.T.H.","email":"","affiliations":[],"preferred":false,"id":876283,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70232315,"text":"fs20223043 - 2022 - Comparison of water year 2021 streamflow to historical data at selected sites in the Snake River Basin, Wyoming","interactions":[],"lastModifiedDate":"2026-03-24T21:26:39.539224","indexId":"fs20223043","displayToPublicDate":"2022-06-27T11:35:47","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-3043","displayTitle":"Comparison of Water Year 2021 Streamflow to Historical Data at Selected Sites in the Snake River Basin, Wyoming","title":"Comparison of water year 2021 streamflow to historical data at selected sites in the Snake River Basin, Wyoming","docAbstract":"The headwaters of the Snake River are in the mountains of northwestern Wyoming on lands primarily administered by the National Park Service and the Bridger-Teton National Forest. Streamflow from the Snake River Basin has been measured at some sites for more than 100 years. Water from this drainage basin is used for recreational, agricultural, and municipal uses and power generation. Because of the many uses of the water and the ongoing drought in the Western United States, there is interest in how streamflow in water year 2021 compared to the historical data. Historical streamflow data are defined as the operational period of the streamgage through water year 2020. A water year is named for the year in which it ends; therefore, water year 2021 is October 1, 2020, through September 30, 2021.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20223043","usgsCitation":"Law, R.M., Campbell, J.R., Wheeler, J.D., and Eddy-Miller, C.E., 2022, Comparison of water year 2021 streamflow to historical data at selected sites in the Snake River Basin, Wyoming: U.S. Geological Survey Fact Sheet 2022–3043, 5 p., https://doi.org/10.3133/fs20223043.","productDescription":"5 p.","numberOfPages":"5","onlineOnly":"Y","ipdsId":"IP-136663","costCenters":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":402526,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/fs20223043/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":402508,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2022/3043/images"},{"id":402505,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2022/3043/coverthb.jpg"},{"id":402506,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2022/3043/fs20223043.pdf","text":"Report","size":"6.29 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2022–3043"},{"id":402507,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2022/3043/fs20223043.XML"},{"id":501494,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113217.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Wyoming","otherGeospatial":"Snake River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.02508544921875,\n 43.21118152841771\n ],\n [\n -110.45928955078125,\n 43.21118152841771\n ],\n [\n -110.45928955078125,\n 44.09744824027576\n ],\n [\n -111.02508544921875,\n 44.09744824027576\n ],\n [\n -111.02508544921875,\n 43.21118152841771\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Wyoming-Montana Water Science Center
U.S. Geological Survey
521 Progress Circle, Suite 6
Cheyenne, WY 82007
Examining natural selection in wild populations is challenging, but crucial to understanding many ecological and evolutionary processes. Additionally, in hybridizing populations, natural selection may be an important determinant of the eventual outcome of hybridization. We characterized several components of relative fitness in hybridizing populations of Yellowstone cutthroat trout and rainbow trout in an effort to better understand the prolonged persistence of both parental species despite predictions of extirpation. Thousands of genomic loci enabled precise quantification of hybrid status in adult and subsequent juvenile generations; a subset of those data also identified parent–offspring relationships. We used linear models and simulations to assess the effects of ancestry on reproductive output and mate choice decisions. We found a relatively low number of late-stage (F3+) hybrids and an excess of F2 juveniles relative to the adult generation in one location, which suggests the presence of hybrid breakdown decreasing the fitness of F2+ hybrids later in life. Assessments of reproductive output showed that Yellowstone cutthroat trout are more likely to successfully reproduce and produce slightly more offspring than their rainbow trout and hybrid counterparts. Mate choice appeared to be largely random, though we did find statistical support for slight female preference for males of similar ancestry. Together, these results show that native Yellowstone cutthroat trout are able to outperform rainbow trout in terms of reproduction and suggest that management action to exclude rainbow trout from spawning locations may bolster the now-rare Yellowstone cutthroat trout.
","language":"English","publisher":"Wiley","doi":"10.1111/mec.16578","collaboration":"Wyoming Game and Fish Department","usgsCitation":"Rosenthal, W.C., Fennell, J.M., Mandeville, E., Burckhardt, J., Walters, A.W., and Wagner, C., 2022, Hybridization decreases native cutthroat trout reproductive fitness: Molecular Ecology, v. 31, no. 16, p. 4224-4241, https://doi.org/10.1111/mec.16578.","productDescription":"18 p.","startPage":"4224","endPage":"4241","ipdsId":"IP-134904","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":430138,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"16","noUsgsAuthors":false,"publicationDate":"2022-07-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Rosenthal, William C.","contributorId":337368,"corporation":false,"usgs":false,"family":"Rosenthal","given":"William","email":"","middleInitial":"C.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":903730,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fennell, John M.","contributorId":337830,"corporation":false,"usgs":false,"family":"Fennell","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":903731,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mandeville, Elizabeth G.","contributorId":270691,"corporation":false,"usgs":false,"family":"Mandeville","given":"Elizabeth G.","affiliations":[{"id":56198,"text":"uwyo","active":true,"usgs":false}],"preferred":false,"id":903732,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burckhardt, Jason C.","contributorId":338996,"corporation":false,"usgs":false,"family":"Burckhardt","given":"Jason C.","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":903733,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903729,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wagner, Catherine E.","contributorId":337377,"corporation":false,"usgs":false,"family":"Wagner","given":"Catherine E.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":903734,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70232280,"text":"70232280 - 2022 - Prairie grouse and wind energy: The state of the science and implications for risk assessment","interactions":[],"lastModifiedDate":"2022-08-02T14:46:33.367822","indexId":"70232280","displayToPublicDate":"2022-06-24T12:07:24","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Prairie grouse and wind energy: The state of the science and implications for risk assessment","docAbstract":"How to shape the anticipated build-out of industrial-scale renewable energy in a way that minimizes risk to wildlife remains contentious. This challenge is well-illustrated in the grasslands and shrub-steppe of North America. Here, several endemic species of grouse are the focus of intensive, long-term conservation action by a host of governmental and non-governmental entities, many of whom are now asking: will anticipated increases in the number of wind-energy facilities exacerbate declines or prevent recovery of these species? To help answer this question, we synthesized the potential consequences of wind-energy development on prairie grouse. Published literature on behavior or demography of prairie-grouse at wind-energy facilities is sparse, with studies having been conducted at only 5 different facilities in the United States. Only two of these studies met the standard for robust impact analysis by collecting pre-construction data and using control sites or gradient designs. Published results from only one of the species Greater Prairie-Chicken were available for >1 facility. Most studies also drew conclusions based on short (<4 years) periods of study, which is potentially problematic when studying these highly philopatric species. Given these caveats, we found that, in the short-term, adult survival and nest success appear largely unaffected in populations exposed to wind-energy facilities. However, changes in habitat use by female Greater Sage-Grouse and female Greater Prairie-Chicken during some seasons and reduced lek persistence among male Greater Prairie-Chickens near wind turbines suggest behavioral responses that may have demographic consequences. Prairie grouse can coexist with wind-energy facilities in some cases, at least in the short term, but important uncertainties remain, including the potential for long-term, cumulative effects of the extensive development expected as states attempt to meet goals for generating electricity from renewable sources.","language":"English","publisher":"Wiley","doi":"10.1002/wsb.1305","usgsCitation":"Lloyd, J., Aldridge, C.L., Allison, T.D., LeBeau, C.W., McNew, L.B., and Winder, V.L., 2022, Prairie grouse and wind energy: The state of the science and implications for risk assessment: Wildlife Society Bulletin, v. 46, no. 3, e1305, 15 p., https://doi.org/10.1002/wsb.1305.","productDescription":"e1305, 15 p.","ipdsId":"IP-131650","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":447326,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wsb.1305","text":"Publisher Index Page"},{"id":402478,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -141.064453125,\n 61.48075950007598\n ],\n [\n -141.15234374999997,\n 59.712097173322924\n ],\n [\n -130.95703125,\n 57.79794388498275\n ],\n [\n -119.53125,\n 37.50972584293751\n ],\n [\n -95.712890625,\n 36.87962060502676\n ],\n [\n -96.15234375,\n 42.4234565179383\n ],\n [\n -96.767578125,\n 46.800059446787316\n ],\n [\n -91.93359375,\n 46.800059446787316\n ],\n [\n -87.890625,\n 48.63290858589535\n ],\n [\n -84.638671875,\n 47.989921667414194\n ],\n [\n -77.16796875,\n 47.39834920035926\n ],\n [\n -77.6953125,\n 55.1286490684888\n ],\n [\n -79.453125,\n 54.77534585936447\n ],\n [\n -78.662109375,\n 51.998410382390325\n ],\n [\n -79.89257812499999,\n 51.069016659603896\n ],\n [\n -82.6171875,\n 52.696361078274485\n ],\n [\n -82.265625,\n 55.1286490684888\n ],\n [\n -84.990234375,\n 55.229023057406344\n ],\n [\n -116.3671875,\n 61.438767493682825\n ],\n [\n -141.064453125,\n 61.48075950007598\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"46","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Lloyd, John D.","contributorId":292535,"corporation":false,"usgs":false,"family":"Lloyd","given":"John D.","affiliations":[{"id":62931,"text":"Prairie Grouse and Wind Energy: The State of the Science And Implications for Risk Assessment","active":true,"usgs":false}],"preferred":false,"id":844994,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":844995,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allison, Taber D.","contributorId":292536,"corporation":false,"usgs":false,"family":"Allison","given":"Taber","email":"","middleInitial":"D.","affiliations":[{"id":39329,"text":"American Wind Wildlife Institute","active":true,"usgs":false}],"preferred":false,"id":844996,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"LeBeau, Chad W.","contributorId":292537,"corporation":false,"usgs":false,"family":"LeBeau","given":"Chad","email":"","middleInitial":"W.","affiliations":[{"id":38051,"text":"Western EcoSystems Technology, Inc.","active":true,"usgs":false}],"preferred":false,"id":844997,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McNew, Lance B.","contributorId":190322,"corporation":false,"usgs":false,"family":"McNew","given":"Lance","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":844998,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Winder, Virginia L. 0000-0002-5756-3993","orcid":"https://orcid.org/0000-0002-5756-3993","contributorId":245355,"corporation":false,"usgs":false,"family":"Winder","given":"Virginia","email":"","middleInitial":"L.","affiliations":[{"id":49158,"text":"Department of Biology, Benedictine College, Atchison, KS, 66002 USA, vwinder@benedictine.edu","active":true,"usgs":false}],"preferred":false,"id":844999,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70232284,"text":"70232284 - 2022 - Speciation with gene flow in a narrow endemic West Virginia cave salamander (Gyrinophilus subterraneus)","interactions":[],"lastModifiedDate":"2022-08-15T13:56:59.786235","indexId":"70232284","displayToPublicDate":"2022-06-24T10:54:54","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Speciation with gene flow in a narrow endemic West Virginia cave salamander (Gyrinophilus subterraneus)","title":"Speciation with gene flow in a narrow endemic West Virginia cave salamander (Gyrinophilus subterraneus)","docAbstract":"Due to their limited geographic distributions and specialized ecologies, cave species are often highly endemic and can be especially vulnerable to habitat degradation within and surrounding the cave systems they inhabit. We investigated the evolutionary history of the West Virginia Spring Salamander (Gyrinophilus subterraneus), estimated the population trend from historic and current survey data, and assessed the current potential for water quality threats to the cave habitat. Our genomic data (mtDNA sequence and ddRADseq-derived SNPs) reveal two, distinct evolutionary lineages within General Davis Cave corresponding to G. subterraneus and its widely distributed sister species, Gyrinophilus porphyriticus, that are also differentiable based on morphological traits. Genomic models of evolutionary history strongly support asymmetric and continuous gene flow between the two lineages, and hybrid classification analyses identify only parental and first generation cross (F1) progeny. Collectively, these results point to a rare case of sympatric speciation occurring within the cave, leading to strong support for continuing to recognize G. subterraneus as a distinct and unique species. Due to its specialized habitat requirements, the complete distribution of G. subterraneus is unresolved, but using survey data in its type locality (and currently the only known occupied site), we find that the population within General Davis Cave has possibly declined over the last 45 years. Finally, our measures of cave and surface stream water quality did not reveal evidence of water quality impairment and provide important baselines for future monitoring. In addition, our unexpected finding of a hybrid zone and partial reproductive isolation between G. subterraneus and G. porphyriticus warrants further attention to better understand the evolutionary and conservation implications of occasional hybridization between the species.
","language":"English","publisher":"Springer","doi":"10.1007/s10592-022-01445-7","usgsCitation":"Campbell Grant, E.H., Mulder, K.P., Brand, A.B., Chambers, D.B., Wynn, A.H., Capshaw, G., Niemiller, M.L., Phillips, J.G., Jacobs, J.F., Kuchta, S.R., and Bell, R., 2022, Speciation with gene flow in a narrow endemic West Virginia cave salamander (Gyrinophilus subterraneus): Conservation Genetics, v. 23, p. 727-744, https://doi.org/10.1007/s10592-022-01445-7.","productDescription":"18 p.","startPage":"727","endPage":"744","ipdsId":"IP-131641","costCenters":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":435797,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KO62A3","text":"USGS data release","linkHelpText":"Field data to support speciation with gene flow in a narrow endemic West Virginia cave salamander (Gyrinophilus subterraneus)"},{"id":402476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","county":"Greenbrier","otherGeospatial":"General Davis Cave","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.67157745361328,\n 37.70962774559374\n ],\n [\n -80.46730041503906,\n 37.70962774559374\n ],\n [\n -80.46730041503906,\n 37.774785412131244\n ],\n [\n -80.67157745361328,\n 37.774785412131244\n ],\n [\n -80.67157745361328,\n 37.70962774559374\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"23","noUsgsAuthors":false,"publicationDate":"2022-06-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":845014,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mulder, Kevin P.","contributorId":194918,"corporation":false,"usgs":false,"family":"Mulder","given":"Kevin","email":"","middleInitial":"P.","affiliations":[{"id":7035,"text":"Smithsonian Conservation Biology Institute, National Zoological Park","active":true,"usgs":false}],"preferred":false,"id":845013,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brand, Adrianne B. 0000-0003-2664-0041 abrand@usgs.gov","orcid":"https://orcid.org/0000-0003-2664-0041","contributorId":3352,"corporation":false,"usgs":true,"family":"Brand","given":"Adrianne","email":"abrand@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":845015,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chambers, Douglas B. 0000-0002-5275-5427 dbchambe@usgs.gov","orcid":"https://orcid.org/0000-0002-5275-5427","contributorId":292547,"corporation":false,"usgs":true,"family":"Chambers","given":"Douglas","email":"dbchambe@usgs.gov","middleInitial":"B.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":845016,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wynn, Addison H.","contributorId":50648,"corporation":false,"usgs":true,"family":"Wynn","given":"Addison","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":845017,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Capshaw, Grace","contributorId":292549,"corporation":false,"usgs":false,"family":"Capshaw","given":"Grace","email":"","affiliations":[{"id":36858,"text":"Smithsonian","active":true,"usgs":false}],"preferred":false,"id":845018,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Niemiller, Matthew L.","contributorId":167679,"corporation":false,"usgs":false,"family":"Niemiller","given":"Matthew","email":"","middleInitial":"L.","affiliations":[{"id":24804,"text":"Illinois Natural History Survey, Prairie Research Institute, University of Illinois Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":845019,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Phillips, John G.","contributorId":292550,"corporation":false,"usgs":false,"family":"Phillips","given":"John","email":"","middleInitial":"G.","affiliations":[{"id":33345,"text":" University of Idaho","active":true,"usgs":false}],"preferred":false,"id":845020,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jacobs, Jeremy F.","contributorId":41130,"corporation":false,"usgs":true,"family":"Jacobs","given":"Jeremy","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":845059,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kuchta, Shawn R.","contributorId":102018,"corporation":false,"usgs":true,"family":"Kuchta","given":"Shawn","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":845021,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bell, Rayna C.","contributorId":292551,"corporation":false,"usgs":false,"family":"Bell","given":"Rayna C.","affiliations":[{"id":12937,"text":"California Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":845022,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70232286,"text":"70232286 - 2022 - Prioritizing habitats based on abundance and distribution of molting waterfowl in the Teshekpuk Lake Special Area of the National Petroleum Reserve, Alaska","interactions":[],"lastModifiedDate":"2022-06-24T15:54:30.050088","indexId":"70232286","displayToPublicDate":"2022-06-24T10:43:44","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Prioritizing habitats based on abundance and distribution of molting waterfowl in the Teshekpuk Lake Special Area of the National Petroleum Reserve, Alaska","docAbstract":"The National Petroleum Reserve in Alaska (NPR-A) encompasses more than 9.5 million hectares of federally managed land on the Arctic Coastal Plain of northern Alaska, where it supports a diversity of wildlife, including millions of migratory birds. Within the NPR-A, Teshekpuk Lake and the surrounding area provide important habitat for migratory birds and this area has been designated by the Bureau of Land Management as the Teshekpuk Lake Special Area (TLSA) because numerous waterfowl species use the area for breeding and molting. Our goal was to provide a mechanism for land managers to assess relative value of areas for molting waterfowl. This approach was based on the population densities of Pacific black brant (Branta bernicla nigricans) and cackling geese (Branta hutchinsii) and pre-defined thresholds for the minimum fraction of the population contained within selected areas. Prioritizations were based on long-term records of population density combined with global-positioning system data to reveal small-scale patterns of habitat use. The highest population density of the Pacific black brant was found along the Beaufort Sea coast on the eastern edge of the study area, whereas cackling geese were somewhat more widely distributed. Depending on the criteria used for prioritization and width of protective buffers placed around selected units, 52–85% of the Goose Molting Area was identified as high-priority area. The effectiveness of this approach to protection of molting birds assumes that buffers around high value units are wide enough to provide adequate protection from disturbance related to oil and gas development.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2022.e02182","usgsCitation":"Flint, P.L., Patil, V.P., Shults, B., and Thompson, S.J., 2022, Prioritizing habitats based on abundance and distribution of molting waterfowl in the Teshekpuk Lake Special Area of the National Petroleum Reserve, Alaska: Global Ecology and Conservation, v. 38, e02182, 8 p., https://doi.org/10.1016/j.gecco.2022.e02182.","productDescription":"e02182, 8 p.","ipdsId":"IP-141109","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":447331,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2022.e02182","text":"Publisher Index Page"},{"id":402475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"National Petroleum Reserve, Teshekpuk Lake Special Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -154.3798828125,\n 70.43495936895164\n ],\n [\n -151.97113037109375,\n 70.43495936895164\n ],\n [\n -151.97113037109375,\n 70.9695509984817\n ],\n [\n -154.3798828125,\n 70.9695509984817\n ],\n [\n -154.3798828125,\n 70.43495936895164\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"38","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Flint, Paul L. 0000-0002-8758-6993 pflint@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-6993","contributorId":3284,"corporation":false,"usgs":true,"family":"Flint","given":"Paul","email":"pflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":845026,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patil, Vijay P. 0000-0002-9357-194X vpatil@usgs.gov","orcid":"https://orcid.org/0000-0002-9357-194X","contributorId":203676,"corporation":false,"usgs":true,"family":"Patil","given":"Vijay","email":"vpatil@usgs.gov","middleInitial":"P.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":845027,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shults, Bradley","contributorId":224468,"corporation":false,"usgs":false,"family":"Shults","given":"Bradley","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":845028,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson, Sarah J. 0000-0002-5733-8198 sjthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-5733-8198","contributorId":5434,"corporation":false,"usgs":true,"family":"Thompson","given":"Sarah","email":"sjthompson@usgs.gov","middleInitial":"J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":845029,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70255021,"text":"70255021 - 2022 - Progression of infection and detection of Pseudoloma neurophilia in zebrafish Danio rerio Hamilton by PCR and histology","interactions":[],"lastModifiedDate":"2024-06-11T15:38:26.240566","indexId":"70255021","displayToPublicDate":"2022-06-24T10:34:23","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2286,"text":"Journal of Fish Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Progression of infection and detection of Pseudoloma neurophilia in zebrafish Danio rerio Hamilton by PCR and histology","title":"Progression of infection and detection of Pseudoloma neurophilia in zebrafish Danio rerio Hamilton by PCR and histology","docAbstract":"Pseudoloma neurophilia is a critical threat to the zebrafish (Danio rerio) model, as it is the most common infectious agent found in research facilities. In this study, our objectives were two-fold: (1) compare the application of diagnostic tools for P. neurophilia and (2) track the progression of infection using PCR and histology. The first experiment showed that whole-body analysis by qPCR (WB-qPCR) can be a standardized process, providing a streamlined diagnostic protocol, without the need for extraction of specific tissues. Evaluating the course of infection in experimentally infected fish, we showed key dynamics in infection. Starting with a low dose exposure of 8000 spores/fish, the prevalence remained low until 92 days post-exposure (dpe), followed by a 30%–40% prevalence by histology or 40%–90% by PCR until the end of the experiment at 334 dpe. WB-qPCR positively detected infection in more fish than histology throughout the study, as WB-qPCR detected the parasite as early as 4 dpe, whereas it was undetected by histology until 92 dpe. We also added a second slide for histologic analyses, showing an increase in detection rate from 24% to 26% when we combined all data from our experiments, but this increase was not statistically significant.
","language":"English","publisher":"Wiley","doi":"10.1111/jfd.13675","usgsCitation":"Schuster, C.J., Kreul, T., Al-Samarrie, C.E., Peterson, J., Sanders, J., and Kent, M., 2022, Progression of infection and detection of Pseudoloma neurophilia in zebrafish Danio rerio Hamilton by PCR and histology: Journal of Fish Diseases, v. 45, no. 10, p. 1463-1475, https://doi.org/10.1111/jfd.13675.","productDescription":"13 p.","startPage":"1463","endPage":"1475","ipdsId":"IP-142137","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":429882,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"10","noUsgsAuthors":false,"publicationDate":"2022-06-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Schuster, Corbin J.","contributorId":338307,"corporation":false,"usgs":false,"family":"Schuster","given":"Corbin","email":"","middleInitial":"J.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":903101,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kreul, Taylor","contributorId":338308,"corporation":false,"usgs":false,"family":"Kreul","given":"Taylor","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":903102,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Al-Samarrie, Colleen E.","contributorId":338309,"corporation":false,"usgs":false,"family":"Al-Samarrie","given":"Colleen","email":"","middleInitial":"E.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":903103,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903104,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sanders, Justin L.","contributorId":338310,"corporation":false,"usgs":false,"family":"Sanders","given":"Justin L.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":903105,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kent, Michael L.","contributorId":338311,"corporation":false,"usgs":false,"family":"Kent","given":"Michael L.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":903106,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70255102,"text":"70255102 - 2022 - Integrating monitoring and optimization modeling to inform flow decisions for Chinook salmon smolts","interactions":[],"lastModifiedDate":"2024-06-17T13:42:40.49227","indexId":"70255102","displayToPublicDate":"2022-06-24T08:33:11","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Integrating monitoring and optimization modeling to inform flow decisions for Chinook salmon smolts","docAbstract":"Monitoring is usually among the first actions taken to help inform recovery planning for declining species, but these data are rarely used formally to inform conservation decision making. For example, Central Valley Chinook salmon were once abundant, but anthropogenic activities have led to widespread habitat loss and degradation resulting in significant population declines. Monitoring data suggest survival through the southern Sacramento-San Joaquin River Delta, in particular, may be a limiting factor for juvenile Chinook salmon outmigrating from the San Joaquin River and its tributaries. However, survival and routing monitoring data have not been formally used to inform water management in a decision analytic framework. Here, we illustrate how estimates derived from disjunct monitoring data can be used to inform water management and as a basis for adaptively managing flows. We aggregated a meta-analysis of Chinook salmon smolt survival and routing estimates through the south Delta with other sources of data to develop a survival and routing simulation model to estimate optimal flows for the San Joaquin River during smolt outmigration from February–May. We found that large flow pulses at predictable times during the spring are projected to be optimal for increasing Chinook salmon smolt survival to the San Francisco Bay and that optimal scenarios differed somewhat with water year type. Sensitivity analysis revealed temperature and smolt outmigration timing are driving optimal pulse distribution and that water allocation changes little with parameter uncertainty. This case study highlights the utility of the decision-analytic framework for solving conservation problems.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2022.110058","usgsCitation":"Wohner, P.J., Duarte, A., Wikert, J., Cavallo, B., Zeug, S.C., and Peterson, J., 2022, Integrating monitoring and optimization modeling to inform flow decisions for Chinook salmon smolts: Ecological Modelling, v. 471, 110058, 17 p., https://doi.org/10.1016/j.ecolmodel.2022.110058.","productDescription":"110058, 17 p.","ipdsId":"IP-133558","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":467178,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2022.110058","text":"Publisher Index Page"},{"id":430269,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Joaquin delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.22739494059627,\n 38.193612778746115\n ],\n [\n -122.22739494059627,\n 37.63171263541648\n ],\n [\n -120.98640474009068,\n 37.63171263541648\n ],\n [\n -120.98640474009068,\n 38.193612778746115\n ],\n [\n -122.22739494059627,\n 38.193612778746115\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"471","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wohner, Patti J.","contributorId":338611,"corporation":false,"usgs":false,"family":"Wohner","given":"Patti","email":"","middleInitial":"J.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":903399,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duarte, Adam","contributorId":338612,"corporation":false,"usgs":false,"family":"Duarte","given":"Adam","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":903400,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wikert, John","contributorId":338613,"corporation":false,"usgs":false,"family":"Wikert","given":"John","email":"","affiliations":[{"id":25470,"text":"U.S. Fish & Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":903401,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cavallo, Brad","contributorId":338615,"corporation":false,"usgs":false,"family":"Cavallo","given":"Brad","email":"","affiliations":[{"id":81177,"text":"Cramer Fish Sciences, Modeling, Analysis, and Synthesis Lab","active":true,"usgs":false}],"preferred":false,"id":903402,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zeug, Steven C.","contributorId":338617,"corporation":false,"usgs":false,"family":"Zeug","given":"Steven","email":"","middleInitial":"C.","affiliations":[{"id":81177,"text":"Cramer Fish Sciences, Modeling, Analysis, and Synthesis Lab","active":true,"usgs":false}],"preferred":false,"id":903403,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903398,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}