{"pageNumber":"617","pageRowStart":"15400","pageSize":"25","recordCount":184880,"records":[{"id":70233591,"text":"70233591 - 2020 - Arsenolipids in cultured Picocystis strain ML, and their occurrence in biota and sediment from Mono Lake, California","interactions":[],"lastModifiedDate":"2022-07-27T12:08:06.165445","indexId":"70233591","displayToPublicDate":"2020-06-24T07:06:14","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10135,"text":"Life","active":true,"publicationSubtype":{"id":10}},"title":"Arsenolipids in cultured Picocystis strain ML, and their occurrence in biota and sediment from Mono Lake, California","docAbstract":"
Primary production in Mono Lake, a hypersaline soda lake rich in dissolved inorganic arsenic, is dominated by Picocystis strain ML. We set out to determine if this photoautotrophic picoplankter could metabolize inorganic arsenic and in doing so form unusual arsenolipids (e.g., arsenic bound to 2-O-methyl ribosides) as reported in other saline ecosystems and by halophilic algae. We cultivated Picocystis strain ML on a seawater-based medium with either low (37 µM) or high (1000 µM) phosphate in the presence of arsenite (400 µM), arsenate (800 µM), or without arsenic additions (ca 0.025 µM). Cultivars formed a variety of organoarsenic compounds, including a phytyl 2-O-methyl arsenosugar, depending upon the cultivation conditions and arsenic exposure. When the cells were grown at low P, the organoarsenicals they produced when exposed to both arsenite and arsenate were primarily arsenolipids (~88%) with only a modest content of water-soluble organoarsenic compounds (e.g., arsenosugars). When grown at high P, sequestration shifted to primarily water-soluble, simple methylated arsenicals such as dimethylarsinate; arsenolipids still constituted ~32% of organoarsenic incorporated into cells exposed to arsenate but < 1% when exposed to arsenite. Curiously, Picocystis strain ML grown at low P and exposed to arsenate sequestered huge amounts of arsenic into the cells accounting for 13.3% of the dry biomass; cells grown at low P and arsenite exposure sequestered much lower amounts, equivalent to 0.35% of dry biomass. Extraction of a resistant phase with trifluoroacetate recovered most of the sequestered arsenic in the form of arsenate. Uptake of arsenate into low P-cultivated cells was confirmed by X-ray fluorescence, while XANES/EXAFS spectra indicated the sequestered arsenic was retained as an inorganic iron precipitate, similar to scorodite, rather than as an As-containing macromolecule. Samples from Mono Lake demonstrated the presence of a wide variety of organoarsenic compounds, including arsenosugar phospholipids, most prevalent in zooplankton (Artemia) and phytoplankton samples, with much lower amounts detected in the bottom sediments. These observations suggest a trophic transfer of organoarsenicals from the phytoplankton (Picocystis) to the zooplankton (Artemia) community, with efficient bacterial mineralization of any lysis-released organoarsenicals back to inorganic oxyanions before they sink to the sediments. 
","language":"English","publisher":"MDPI","doi":"10.3390/life10060093","usgsCitation":"Glabonjat, R.A., Blum, J.S., Miller, L., Webb, S.M., Stolz, J.F., Francesconi, K.A., and Oremland, R.S., 2020, Arsenolipids in cultured Picocystis strain ML, and their occurrence in biota and sediment from Mono Lake, California: Life, v. 10, no. 6, 93, 21 p., https://doi.org/10.3390/life10060093.","productDescription":"93, 21 p.","ipdsId":"IP-119352","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":456298,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/life10060093","text":"Publisher Index Page"},{"id":436919,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90VW2FP","text":"USGS data release","linkHelpText":"Growth of cultured Picocystis strain ML in the presence of arsenic, and occurrence of arsenolipids in these Picocystis as well as biota and sediment from Mono Lake, California"},{"id":404483,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mono Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.29092407226561,\n 37.85100126460795\n ],\n [\n -118.73886108398438,\n 37.85100126460795\n ],\n [\n -118.73886108398438,\n 38.15723682167875\n ],\n [\n -119.29092407226561,\n 38.15723682167875\n ],\n [\n -119.29092407226561,\n 37.85100126460795\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"6","noUsgsAuthors":false,"publicationDate":"2020-06-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Glabonjat, Ronald A. 0000-0003-3104-1940","orcid":"https://orcid.org/0000-0003-3104-1940","contributorId":225202,"corporation":false,"usgs":false,"family":"Glabonjat","given":"Ronald","email":"","middleInitial":"A.","affiliations":[{"id":41074,"text":"Institute of Chemistry, NAWI Graz, University of Graz, Graz Austria","active":true,"usgs":false}],"preferred":false,"id":847500,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blum, Jodi S. 0000-0002-1733-1506 jsblum@usgs.gov","orcid":"https://orcid.org/0000-0002-1733-1506","contributorId":225203,"corporation":false,"usgs":true,"family":"Blum","given":"Jodi","email":"jsblum@usgs.gov","middleInitial":"S.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":847501,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Laurence G. 0000-0002-7807-3475 lgmiller@usgs.gov","orcid":"https://orcid.org/0000-0002-7807-3475","contributorId":2460,"corporation":false,"usgs":true,"family":"Miller","given":"Laurence G.","email":"lgmiller@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":847502,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Webb, Samuel M. 0000-0003-1188-0464","orcid":"https://orcid.org/0000-0003-1188-0464","contributorId":225204,"corporation":false,"usgs":false,"family":"Webb","given":"Samuel","email":"","middleInitial":"M.","affiliations":[{"id":41075,"text":"Stanford Synchrotron Radiation Lightsource, Menlo Park, California","active":true,"usgs":false}],"preferred":false,"id":847503,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stolz, John F.","contributorId":179305,"corporation":false,"usgs":false,"family":"Stolz","given":"John","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":847504,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Francesconi, Kevin A. 0000-0002-2536-0542","orcid":"https://orcid.org/0000-0002-2536-0542","contributorId":225205,"corporation":false,"usgs":false,"family":"Francesconi","given":"Kevin","email":"","middleInitial":"A.","affiliations":[{"id":41074,"text":"Institute of Chemistry, NAWI Graz, University of Graz, Graz Austria","active":true,"usgs":false}],"preferred":false,"id":847505,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Oremland, Ronald S. 0000-0001-7382-0147 roremlan@usgs.gov","orcid":"https://orcid.org/0000-0001-7382-0147","contributorId":931,"corporation":false,"usgs":true,"family":"Oremland","given":"Ronald","email":"roremlan@usgs.gov","middleInitial":"S.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":847506,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70218204,"text":"70218204 - 2020 - Informing amphibian conservation efforts with abundance-based metapopulation models","interactions":[],"lastModifiedDate":"2021-02-19T20:39:19.47464","indexId":"70218204","displayToPublicDate":"2020-06-23T14:35:01","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1892,"text":"Herpetologica","active":true,"publicationSubtype":{"id":10}},"title":"Informing amphibian conservation efforts with abundance-based metapopulation models","docAbstract":"

Science-based management strategies are needed to halt or reverse the global decline of amphibians. In many cases, sound management requires reliable models built using monitoring data. Historically, monitoring and statistical modeling efforts have focused on estimating occupancy using detection–nondetection data. Spatial occupancy models are useful for studying colonization–extinction dynamics, but richer insights can be gained from estimating abundance and density-dependent demographic rates. We developed an integrated abundance-based metapopulation model of the processes contributing to spatiotemporal variation in patch population density. We fit our model to a combination of detection–nondetection and count data from a 14-yr study of a reintroduced metapopulation of federally threatened Chiricahua Leopard Frogs (Lithobates chiricahuensis). Pond-specific population growth rate was influenced by pond hydroperiod and frog density, such that permanent and semipermanent ponds with low densities of adult frogs experienced the highest annual population growth rates. Immigration rate declined as the distance among ponds increased. After reintroduction in 2003, metapopulation-level abundance increased and appeared to stabilize around 1300 adult frogs (95% CI = 1192–1471) by year 2015. Further, changes in metapopulation abundance were driven mostly by changes in abundance at a few ponds. These high-density populations, which would not have been identifiable with traditional occupancy-based metapopulation models, are likely especially important for species recovery in the area. Abundance-based metapopulation models can be widely applied to inform conservation efforts, by providing higher quality information needed to prioritize habitat patches for management and can be used to make more accurate predictions of metapopulation extinction risk.

","language":"English","publisher":"The Herpetologists' League","doi":"10.1655/0018-0831-76.2.240","usgsCitation":"Howell, P.E., Hossack, B., Muths, E., Sigafus, B.H., and Chandler, R., 2020, Informing amphibian conservation efforts with abundance-based metapopulation models: Herpetologica, v. 76, no. 2, p. 240-250, https://doi.org/10.1655/0018-0831-76.2.240.","productDescription":"11 p.","startPage":"240","endPage":"250","ipdsId":"IP-111558","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":383399,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Howell, Paige E","contributorId":251713,"corporation":false,"usgs":false,"family":"Howell","given":"Paige","email":"","middleInitial":"E","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":810414,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hossack, Blake R. 0000-0001-7456-9564","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":229347,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":810415,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muths, Erin L. 0000-0002-5498-3132","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":243368,"corporation":false,"usgs":true,"family":"Muths","given":"Erin L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":810416,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sigafus, Brent H. 0000-0002-7422-8927 bsigafus@usgs.gov","orcid":"https://orcid.org/0000-0002-7422-8927","contributorId":4534,"corporation":false,"usgs":true,"family":"Sigafus","given":"Brent","email":"bsigafus@usgs.gov","middleInitial":"H.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":810417,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chandler, Richard B.","contributorId":251714,"corporation":false,"usgs":false,"family":"Chandler","given":"Richard B.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":810418,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70211174,"text":"70211174 - 2020 - Effects of snowpack, temperature, and disease on the demography of a wild population of amphibians","interactions":[],"lastModifiedDate":"2020-08-06T19:20:03.217264","indexId":"70211174","displayToPublicDate":"2020-06-23T10:51:29","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1892,"text":"Herpetologica","active":true,"publicationSubtype":{"id":10}},"title":"Effects of snowpack, temperature, and disease on the demography of a wild population of amphibians","docAbstract":"

Understanding the demographic consequences of interactions among pathogens, hosts, and weather conditions is critical in determining how amphibian populations respond to disease and in identifying site-specific conservation actions that can be developed to bolster persistence of amphibian populations. We investigated population dynamics in Boreal Toads (Anaxyrus boreas) relative to abiotic (fall temperatures and snowpack) and biotic (the abundance of another anuran host and disease) characteristics of the local environment in Wyoming, USA. We used capture–recapture data and a multistate model where state was treated as a hidden Markov process to incorporate disease state uncertainty and assess our a priori hypotheses. Our results indicated that snowpack during the coldest week of winter is more influential to toad survival, disease transition probabilities, and the population-level prevalence of the amphibian chytrid fungus (Batrachochytrium dendrobatidis) in the spring, than temperatures in the fall or the presence of another host. As hypothesized, apparent survival at low (i.e., <25 cm) snowpack (0.22; confidence interval [CI] = 0.15–0.31) was lower than apparent survival at high snowpack (90.65; CI = 0.50–0.78). Our findings highlight the potential for local environmental factors, like snowpack, to influence disease and host persistence, and demonstrate the ecological complexity of disease effects on population demography in natural environments. This work further emphasizes the need for improved understanding of how climate change may influence the relationships among pathogens, hosts, and their environment for wild animal populations challenged by disease.

","language":"English","publisher":"BioOne","doi":"10.1655/0018-0831-76.2.132","usgsCitation":"Muths, E., Hossack, B., Grant, E.H., Pilliod, D., and Mosher, B.A., 2020, Effects of snowpack, temperature, and disease on the demography of a wild population of amphibians: Herpetologica, v. 76, no. 2, p. 132-143, https://doi.org/10.1655/0018-0831-76.2.132.","productDescription":"12 p.","startPage":"132","endPage":"143","ipdsId":"IP-111041","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":436920,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VACHX0","text":"USGS data release","linkHelpText":"Capture-recapture, disease and covariate data for boreal toads from Blackrock Wyoming 2019"},{"id":376433,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Bridger-Teton National Forest, Togwetee Pass","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.37139892578125,\n 43.49676775343911\n ],\n [\n -109.86602783203125,\n 43.49676775343911\n ],\n [\n -109.86602783203125,\n 43.866218006556394\n ],\n [\n -110.37139892578125,\n 43.866218006556394\n ],\n [\n -110.37139892578125,\n 43.49676775343911\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"76","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Muths, Erin L. 0000-0002-5498-3132","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":229346,"corporation":false,"usgs":true,"family":"Muths","given":"Erin L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":792944,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hossack, Blake R. 0000-0001-7456-9564","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":229347,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":792945,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grant, Evan H. 0000-0003-4401-6496","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":229348,"corporation":false,"usgs":true,"family":"Grant","given":"Evan","email":"","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":792946,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pilliod, David S. 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":229349,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":792947,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mosher, Brittany A.","contributorId":189579,"corporation":false,"usgs":false,"family":"Mosher","given":"Brittany","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":792948,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70211175,"text":"70211175 - 2020 - Amphibian population declines: 30 Years of progress in confronting a complex problem","interactions":[],"lastModifiedDate":"2020-08-06T19:06:09.342924","indexId":"70211175","displayToPublicDate":"2020-06-23T10:49:25","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1892,"text":"Herpetologica","active":true,"publicationSubtype":{"id":10}},"title":"Amphibian population declines: 30 Years of progress in confronting a complex problem","docAbstract":"

In 1989, it dawned on participants at the First World Congress of Herpetology that observed declines in amphibian populations might actually be global in scope and unprecedented in severity. Three decades of research since then has produced an enormous increase in our knowledge of amphibian ecology and appreciation of the complexity of possible causes for amphibian population declines. In September 2019, 30 yr after the First World Congress ended, a day-long, international symposium on amphibian population declines was held at the Redpath Museum of McGill University in Montreal, Canada. Symposium participants drew upon the knowledge gained over three decades of study to look ahead with fresh ideas to address this vital aspect of the global decline of biodiversity. Despite tremendous progress over the past three decades there is still much about amphibian ecology, population biology, and pathology that remains unknown. Amphibian declines have turned out to be more complex than originally expected and the result of multiple possible causes acting across landscapes, among taxa, or between populations in ways that are not at all uniform. The papers in this special issue of Herpetologica, which stem from the symposium, explore much of our current understanding of amphibian declines and their causes.

","language":"English","publisher":"BioOne","doi":"10.1655/0018-0831-76.2.97","usgsCitation":"Green, D.M., Lannoo, M.J., LesBarreres, D., and Muths, E., 2020, Amphibian population declines: 30 Years of progress in confronting a complex problem: Herpetologica, v. 76, no. 2, p. 97-100, https://doi.org/10.1655/0018-0831-76.2.97.","productDescription":"4 p.","startPage":"97","endPage":"100","ipdsId":"IP-114207","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":376431,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Green, David M.","contributorId":169671,"corporation":false,"usgs":false,"family":"Green","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":792949,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lannoo, Michael J","contributorId":229350,"corporation":false,"usgs":false,"family":"Lannoo","given":"Michael","email":"","middleInitial":"J","affiliations":[{"id":37145,"text":"Indiana University","active":true,"usgs":false}],"preferred":false,"id":792950,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LesBarreres, David","contributorId":229351,"corporation":false,"usgs":false,"family":"LesBarreres","given":"David","affiliations":[{"id":17996,"text":"Laurentian University","active":true,"usgs":false}],"preferred":false,"id":792951,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Muths, Erin L. 0000-0002-5498-3132","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":224061,"corporation":false,"usgs":true,"family":"Muths","given":"Erin L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":792952,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70211180,"text":"70211180 - 2020 - A synthesis of evidence of drivers of amphibian declines","interactions":[],"lastModifiedDate":"2020-07-16T15:46:40.508724","indexId":"70211180","displayToPublicDate":"2020-06-23T10:43:28","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1892,"text":"Herpetologica","active":true,"publicationSubtype":{"id":10}},"title":"A synthesis of evidence of drivers of amphibian declines","docAbstract":"

Early calls for robust long-term time series of amphibian population data, stemming from discussion following the first World Congress of Herpetology, are now being realized after 25 yr of focused research. Inference from individual studies and locations have contributed to a basic consensus on drivers of amphibian declines. Until recently there were no large-scale syntheses of long-term time series data to test hypotheses about the generality of factors driving population dynamics at broad spatial scales. Through the U.S. Geological Survey's Powell Center for Analysis and Synthesis, we brought together a group of scientists to elucidate mechanisms underlying amphibian declines in North America and Europe. We used time series of field data collected across dozens of study areas to make inferences with these combined data using hierarchical and spatial models. We bring together results from four syntheses of these data to summarize our state of knowledge of amphibian declines, identify commonalities that suggest further avenues of study, and suggest a way forward in addressing amphibian declines—by looking beyond specific drivers to how to achieve stability in remaining populations. The common thread of the syntheses is that declines are real but not ubiquitous, and that multiple factors drive declines but the relative importance of each factor varies among species, populations, and regions. We also found that climate is an important driver of amphibian population dynamics. However, the direction and magnitude of sensitivity to change vary among species in ways unlikely to explain overall rates of decline. Thirty years after the initial identification of a major catastrophe for global biodiversity, the scientific community has empirically demonstrated the reality of the problem, identified putative causes, provided evidence of their impacts, invested in broader-scale actions, and attempted meta-analyses to search out global drivers. We suggest an approach that focuses on key demographic rates that may improve amphibian population trends at multiple sites across the landscape.

","language":"English","publisher":"BioOne","doi":"10.1655/0018-0831-76.2.101","usgsCitation":"Grant, E.H., Miller, D., and Muths, E., 2020, A synthesis of evidence of drivers of amphibian declines: Herpetologica, v. 76, no. 2, p. 101-107, https://doi.org/10.1655/0018-0831-76.2.101.","productDescription":"7 p.","startPage":"101","endPage":"107","ipdsId":"IP-111040","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":376430,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Grant, Evan H. 0000-0003-4401-6496","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":229348,"corporation":false,"usgs":true,"family":"Grant","given":"Evan","email":"","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":792978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, D. A. W.","contributorId":216930,"corporation":false,"usgs":false,"family":"Miller","given":"D. A. W.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":792979,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muths, Erin L. 0000-0002-5498-3132","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":224061,"corporation":false,"usgs":true,"family":"Muths","given":"Erin L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":792980,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70210712,"text":"pp1842JJ - 2020 - The effects of management practices on grassland birds—LeConte’s Sparrow (Ammospiza leconteii)","interactions":[{"subject":{"id":70210712,"text":"pp1842JJ - 2020 - The effects of management practices on grassland birds—LeConte’s Sparrow (Ammospiza leconteii)","indexId":"pp1842JJ","publicationYear":"2020","noYear":false,"chapter":"JJ","displayTitle":"The Effects of Management Practices on Grassland Birds—LeConte’s Sparrow (Ammospiza leconteii)","title":"The effects of management practices on grassland birds—LeConte’s Sparrow (Ammospiza leconteii)"},"predicate":"IS_PART_OF","object":{"id":70203022,"text":"pp1842 - 2019 - The effects of management practices on grassland birds","indexId":"pp1842","publicationYear":"2019","noYear":false,"title":"The effects of management practices on grassland birds"},"id":1}],"isPartOf":{"id":70203022,"text":"pp1842 - 2019 - The effects of management practices on grassland birds","indexId":"pp1842","publicationYear":"2019","noYear":false,"title":"The effects of management practices on grassland birds"},"lastModifiedDate":"2023-12-20T21:10:28.379003","indexId":"pp1842JJ","displayToPublicDate":"2020-06-23T10:42:03","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1842","chapter":"JJ","displayTitle":"The Effects of Management Practices on Grassland Birds—LeConte’s Sparrow (Ammospiza leconteii)","title":"The effects of management practices on grassland birds—LeConte’s Sparrow (Ammospiza leconteii)","docAbstract":"

Keys to LeConte’s Sparrow (Ammospiza leconteii) management include controlling succession and providing uplands and lowlands with tall, thick herbaceous vegetation and thick litter. LeConte’s Sparrows have been reported to use habitats with 30–90 centimeters (cm) average vegetation height, 19–41 cm visual obstruction reading, 35–43 percent grass cover, 16–27 percent forb cover, less than (<) 18 percent shrub cover, <4 percent bare ground, 39–45 percent litter cover, and 2–6 cm litter depth.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1842JJ","usgsCitation":"Shaffer, J.A., Igl, L.D., Johnson, D.H., Sondreal, M.L., Goldade, C.M., Zimmerman, A.L., and Euliss, B.R., 2020, The effects of management practices on grassland birds—LeConte’s Sparrow (Ammospiza leconteii), chap. JJ of Johnson, D.H., Igl, L.D., Shaffer, J.A., and DeLong, J.P., eds., The effects of management practices on grassland birds: U.S. Geological Survey Professional Paper 1842, 14 p., https://doi.org/10.3133/pp1842JJ.","productDescription":"iv, 14 p.","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-095142","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":375707,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1842/jj/coverthb.jpg"},{"id":375708,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1842/jj/pp1842jj.pdf","text":"Report","size":"2.05 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1842–JJ"}],"contact":"

Director, Northern Prairie Wildlife Research Center
U.S. Geological Survey
8711 37th Street Southeast
Jamestown, ND 58401

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2020-06-23","noUsgsAuthors":false,"publicationDate":"2020-06-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Shaffer, Jill A. 0000-0003-3172-0708","orcid":"https://orcid.org/0000-0003-3172-0708","contributorId":221268,"corporation":false,"usgs":true,"family":"Shaffer","given":"Jill A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":791069,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Igl, Lawrence D. 0000-0003-0530-7266","orcid":"https://orcid.org/0000-0003-0530-7266","contributorId":220514,"corporation":false,"usgs":true,"family":"Igl","given":"Lawrence D.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":791070,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Douglas H. 0000-0002-7778-6641","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":220516,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":791071,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sondreal, Marriah L.","contributorId":215631,"corporation":false,"usgs":false,"family":"Sondreal","given":"Marriah","email":"","middleInitial":"L.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":791072,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goldade, Christopher M.","contributorId":90668,"corporation":false,"usgs":true,"family":"Goldade","given":"Christopher M.","affiliations":[],"preferred":false,"id":791073,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zimmerman, Amy L.","contributorId":217210,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Amy","email":"","middleInitial":"L.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":791074,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Euliss, Betty R.","contributorId":191881,"corporation":false,"usgs":false,"family":"Euliss","given":"Betty","email":"","middleInitial":"R.","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":791075,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70210791,"text":"70210791 - 2020 - The predictive skills of elastic Coulomb rate-and-state aftershock forecasts during the 2019 Ridgecrest, California, earthquake sequence","interactions":[],"lastModifiedDate":"2020-08-26T19:12:50.615604","indexId":"70210791","displayToPublicDate":"2020-06-23T10:23:54","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"The predictive skills of elastic Coulomb rate-and-state aftershock forecasts during the 2019 Ridgecrest, California, earthquake sequence","docAbstract":"Operational earthquake forecasting protocols commonly use statistical models for their recognized ease of implementation and robustness in describing the short-term spatiotemporal patterns of triggered seismicity. However, recent advances on physics-based aftershock forecasting reveal comparable performance to the standard statistical counterparts with significantly improved predictive skills when fault and stress field heterogeneities are considered. Here, we perform a pseudo-prospective forecasting experiment during the first month of the 2019 Ridgecrest (California) earthquake sequence. We develop seven Coulomb rate-and-state models that couple static stress change estimates with continuum mechanics expressed by the rate-and-state friction laws. Our model parametrization supports a gradually increasing complexity; we start from a preliminary model implementation with simplified slip distributions and spatially homogeneous receiver faults to reach an enhanced one featuring optimized fault constitutive parameters, finite-fault slip models, secondary triggering effects, and spatially heterogenous planes informed by pre-existing ruptures. The data-rich environment of Southern California allows us to test whether incorporating data collected in near real-time during an unfolding earthquake sequence boosts our predictive power. We assess the absolute and relative performance of the forecasts by means of statistical tests used within the Collaboratory for the Study of Earthquake Predictability (CSEP) and compare their skills against a standard benchmark ETAS model for the short (24 hours after the two Ridgecrest mainshocks) and intermediate-term (one month). Stress-based forecasts expect heightened rates along the whole near-fault region and increased expected seismicity rates in Central Garlock Fault. Our comparative model evaluation supports that faulting heterogeneities coupled with secondary triggering effects are the most critical success components behind physics-based forecasts, but also underlines the importance of model updates incorporating near real-time available aftershock data reaching better performance than ETAS models. We explore the physical basis behind our results by investigating the localized shut down of pre-existing normal faults in the Ridgecrest near-source area.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120200028","usgsCitation":"Mancini, S., Segou, M., Werner, M., and Parsons, T.E., 2020, The predictive skills of elastic Coulomb rate-and-state aftershock forecasts during the 2019 Ridgecrest, California, earthquake sequence: Bulletin of the Seismological Society of America, v. 110, no. 4, p. 1736-1751, https://doi.org/10.1785/0120200028.","productDescription":"16 p.","startPage":"1736","endPage":"1751","ipdsId":"IP-117717","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":456304,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research-information.bris.ac.uk/en/publications/b86ef22d-e493-45b3-b98c-b20b940530be","text":"External Repository"},{"id":375920,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Ridgecrest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.33923339843749,\n 35.14237113713991\n ],\n [\n -116.83959960937499,\n 35.14237113713991\n ],\n [\n -116.83959960937499,\n 36.37706783983682\n ],\n [\n -118.33923339843749,\n 36.37706783983682\n ],\n [\n -118.33923339843749,\n 35.14237113713991\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"110","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-06-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Mancini, Simone 0000-0003-3415-2080","orcid":"https://orcid.org/0000-0003-3415-2080","contributorId":225525,"corporation":false,"usgs":false,"family":"Mancini","given":"Simone","email":"","affiliations":[{"id":37322,"text":"University of Bristol","active":true,"usgs":false}],"preferred":false,"id":791436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Segou, Margarita","contributorId":199044,"corporation":false,"usgs":false,"family":"Segou","given":"Margarita","affiliations":[],"preferred":false,"id":791437,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Werner, Maximillian J","contributorId":195950,"corporation":false,"usgs":false,"family":"Werner","given":"Maximillian J","affiliations":[],"preferred":false,"id":791438,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parsons, Thomas E. 0000-0002-0582-4338 tparsons@usgs.gov","orcid":"https://orcid.org/0000-0002-0582-4338","contributorId":2314,"corporation":false,"usgs":true,"family":"Parsons","given":"Thomas","email":"tparsons@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":791439,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70227716,"text":"70227716 - 2020 - Making ‘chemical cocktails’ – Evolution of urban geochemical processes across the periodic table of elements","interactions":[],"lastModifiedDate":"2022-01-27T15:38:18.764858","indexId":"70227716","displayToPublicDate":"2020-06-23T09:34:49","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Making ‘chemical cocktails’ – Evolution of urban geochemical processes across the periodic table of elements","docAbstract":"

Urbanization contributes to the formation of novel elemental combinations and signatures in terrestrial and aquatic watersheds, also known as ‘chemical cocktails.’ The composition of chemical cocktails evolves across space and time due to: (1) elevated concentrations from anthropogenic sources, (2) accelerated weathering and corrosion of the built environment, (3) increased drainage density and intensification of urban water conveyance systems, and (4) enhanced rates of geochemical transformations due to changes in temperature, ionic strength, pH, and redox potentials. Characterizing chemical cocktails and underlying geochemical processes is necessary for: (1) tracking pollution sources using complex chemical mixtures instead of individual elements or compounds; (2) developing new strategies for co-managing groups of contaminants; (3) identifying proxies for predicting transport of chemical mixtures using continuous sensor data; and (4) determining whether interactive effects of chemical cocktails produce ecosystem-scale impacts greater than the sum of individual chemical stressors. First, we discuss some unique urban geochemical processes which form chemical cocktails, such as urban soil formation, human-accelerated weathering, urban acidification-alkalinization, and Freshwater Salinization Syndrome. Second, we review and synthesize global patterns in concentrations of major ions, carbon and nutrients, and trace elements in urban streams across different world regions and make comparisons with reference conditions. In addition to our global analysis, we highlight examples from watersheds in the Baltimore-Washington DC area, USA, which show increased transport of major ions, trace metals, and nutrients across streams draining a well-defined land-use gradient. Urbanization increased the concentrations of multiple major and trace elements in streams draining human-dominated watersheds compared to reference conditions. Chemical cocktails of major and trace elements were formed over diurnal cycles coinciding with changes in streamflow, dissolved oxygen, pH, and other variables measured by high-frequency sensors. Some chemical cocktails of major and trace elements were also significantly related to specific conductance (p < 0.05), which can be measured by sensors. Concentrations of major and trace elements increased, peaked, or decreased longitudinally along streams as watershed urbanization increased, which is consistent with distinct shifts in chemical mixtures upstream and downstream of other major cities in the world. Our global analysis of urban streams shows that concentrations of multiple elements along the periodic table significantly increase when compared with reference conditions. Furthermore, similar biogeochemical patterns and processes can be grouped among distinct mixtures of elements of major ions, dissolved organic matter, nutrients, and trace elements as chemical cocktails. Chemical cocktails form in urban waters over diurnal cycles, decades, and throughout drainage basins. We conclude our global review and synthesis by proposing strategies for monitoring and managing chemical cocktails using source control, ecosystem restoration, and green infrastructure. We discuss future research directions applying the watershed chemical cocktail approach to diagnose and manage environmental problems. Ultimately, a chemical cocktail approach targeting sources, transport, and transformations of different and distinct elemental combinations is beneficial to more holistically monitor and manage the emerging impacts of chemical mixtures in the world's fresh waters.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2020.104632","usgsCitation":"Kaushal, S., Wood, K.L., Galella, J.G., Gion, A.M., Haq, S., Goodling, P.J., Haviland, K., Reimer, J.E., Morel, C.J., Wessel, B., Nguyen, W., Hollingsworth, J.W., Mei, K., Leal, J., Widmer, J., Sharif, R., Mayer, P.M., Newcomer Johnson, T.A., Newcomb, K.D., Smith, E., and Belt, K., 2020, Making ‘chemical cocktails’ – Evolution of urban geochemical processes across the periodic table of elements: Applied Geochemistry, v. 119, 104632, 23 p., https://doi.org/10.1016/j.apgeochem.2020.104632.","productDescription":"104632, 23 p.","ipdsId":"IP-114278","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":456305,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7970522","text":"Publisher Index Page"},{"id":394971,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"119","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kaushal, Sujay S.","contributorId":210125,"corporation":false,"usgs":false,"family":"Kaushal","given":"Sujay S.","affiliations":[{"id":38074,"text":"Univ. of Maryland","active":true,"usgs":false}],"preferred":false,"id":831875,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Kelsey L.","contributorId":210140,"corporation":false,"usgs":false,"family":"Wood","given":"Kelsey","email":"","middleInitial":"L.","affiliations":[{"id":38074,"text":"Univ. of Maryland","active":true,"usgs":false}],"preferred":false,"id":831876,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Galella, Joseph G.","contributorId":210135,"corporation":false,"usgs":false,"family":"Galella","given":"Joseph","email":"","middleInitial":"G.","affiliations":[{"id":38074,"text":"Univ. of Maryland","active":true,"usgs":false}],"preferred":false,"id":831877,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gion, Austin M.","contributorId":272260,"corporation":false,"usgs":false,"family":"Gion","given":"Austin","email":"","middleInitial":"M.","affiliations":[{"id":33433,"text":"University of Maryland, College Park","active":true,"usgs":false}],"preferred":false,"id":831878,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haq, Shahan","contributorId":210138,"corporation":false,"usgs":false,"family":"Haq","given":"Shahan","email":"","affiliations":[{"id":38074,"text":"Univ. of Maryland","active":true,"usgs":false}],"preferred":false,"id":831879,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Goodling, Phillip J. 0000-0001-5715-8579","orcid":"https://orcid.org/0000-0001-5715-8579","contributorId":239738,"corporation":false,"usgs":true,"family":"Goodling","given":"Phillip","email":"","middleInitial":"J.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":831880,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Haviland, Katherine","contributorId":210137,"corporation":false,"usgs":false,"family":"Haviland","given":"Katherine","email":"","affiliations":[{"id":38081,"text":"Cornell Univ.","active":true,"usgs":false}],"preferred":false,"id":831881,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reimer, Jenna E.","contributorId":272261,"corporation":false,"usgs":false,"family":"Reimer","given":"Jenna","email":"","middleInitial":"E.","affiliations":[{"id":33433,"text":"University of Maryland, College Park","active":true,"usgs":false}],"preferred":false,"id":831882,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Morel, Carol J. 0000-0002-0179-3159","orcid":"https://orcid.org/0000-0002-0179-3159","contributorId":217343,"corporation":false,"usgs":true,"family":"Morel","given":"Carol","email":"","middleInitial":"J.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":831883,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wessel, Barret","contributorId":210139,"corporation":false,"usgs":false,"family":"Wessel","given":"Barret","email":"","affiliations":[{"id":38074,"text":"Univ. of Maryland","active":true,"usgs":false}],"preferred":false,"id":831884,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Nguyen, William","contributorId":272262,"corporation":false,"usgs":false,"family":"Nguyen","given":"William","email":"","affiliations":[{"id":33433,"text":"University of Maryland, College Park","active":true,"usgs":false}],"preferred":false,"id":831885,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hollingsworth, John W.","contributorId":272263,"corporation":false,"usgs":false,"family":"Hollingsworth","given":"John","email":"","middleInitial":"W.","affiliations":[{"id":33433,"text":"University of Maryland, College Park","active":true,"usgs":false}],"preferred":false,"id":831886,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Mei, Kevin","contributorId":272264,"corporation":false,"usgs":false,"family":"Mei","given":"Kevin","email":"","affiliations":[{"id":33433,"text":"University of Maryland, College Park","active":true,"usgs":false}],"preferred":false,"id":831887,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Leal, Julian","contributorId":272265,"corporation":false,"usgs":false,"family":"Leal","given":"Julian","email":"","affiliations":[{"id":33433,"text":"University of Maryland, College Park","active":true,"usgs":false}],"preferred":false,"id":831888,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Widmer, Jacob","contributorId":258308,"corporation":false,"usgs":false,"family":"Widmer","given":"Jacob","affiliations":[{"id":28165,"text":"No affiliation","active":true,"usgs":false}],"preferred":false,"id":831889,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Sharif, Rahat","contributorId":272266,"corporation":false,"usgs":false,"family":"Sharif","given":"Rahat","email":"","affiliations":[{"id":33433,"text":"University of Maryland, College Park","active":true,"usgs":false}],"preferred":false,"id":831890,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Mayer, Paul M.","contributorId":272267,"corporation":false,"usgs":false,"family":"Mayer","given":"Paul","email":"","middleInitial":"M.","affiliations":[{"id":6784,"text":"US 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Reliable and accurate high-resolution mapping of the Nation’s waters are critical inputs to models and decision support systems used to predict risk and enable response to impacts on water resources. It is necessary to know where the water is and how it relates to features beyond the stream network like forests, cities, and infrastructure. An up-to-date, high-resolution national hydrography framework is required for modeling the occurrence of water and to provide the ability to connect detailed information from the surrounding landscape to the stream network. To support this, the U.S. Geological Survey is developing NHDPlus High Resolution (NHDPlus HR), the next generation of NHDPlus using updated, high-resolution datasets to create a modern, scalable, and openly accessible hydrography framework for the inland waters of the Nation.

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National Geospatial Program
Core Science Systems
U.S. Geological Survey
12201 Sunrise Valley Dr., MS 511
Reston, VA 20192

Email National Hydrography at nhd@usgs.gov

","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2020-06-23","noUsgsAuthors":false,"publicationDate":"2020-06-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Buto, Susan G. 0000-0002-1107-9549 sbuto@usgs.gov","orcid":"https://orcid.org/0000-0002-1107-9549","contributorId":1057,"corporation":false,"usgs":true,"family":"Buto","given":"Susan","email":"sbuto@usgs.gov","middleInitial":"G.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791149,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Rebecca 0000-0001-6988-6311 rdanderson@usgs.gov","orcid":"https://orcid.org/0000-0001-6988-6311","contributorId":5925,"corporation":false,"usgs":true,"family":"Anderson","given":"Rebecca","email":"rdanderson@usgs.gov","affiliations":[{"id":113,"text":"Alaska Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":791150,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70210778,"text":"70210778 - 2020 - Hydrodynamic modeling results showing the effects of the Luce Bayou interbasin transfer on salinity in Lake Houston, TX","interactions":[],"lastModifiedDate":"2020-12-15T20:19:25.123808","indexId":"70210778","displayToPublicDate":"2020-06-23T08:45:05","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3536,"text":"Texas Water Journal","active":true,"publicationSubtype":{"id":10}},"title":"Hydrodynamic modeling results showing the effects of the Luce Bayou interbasin transfer on salinity in Lake Houston, TX","docAbstract":"

An overreliance on groundwater resources in the Houston (Texas) metropolitan area led to aquifer drawdowns and land subsidence, so regional water suppliers have been turning to surface water resources to meet water demand. Lake Houston, an important water supply reservoir 24 kilometers (15 miles) northeast of downtown Houston, requires new water supply sources to continue to meet water supply demands for the next several decades. The upcoming Luce Bayou Interbasin Transfer Project will divert up to 500 million gallons per day of Trinity River water into Lake Houston. Trinity River water has significantly different water quality than the Lake Houston tributaries. To evaluate the project’s potential effect on water quality, the U.S. Geological Survey used an enhanced version of a previously released Lake Houston hydrodynamic model. With a focus on salinity and water-surface elevations, the model combined data from 2009 to 2017 with simulated flow from the Luce Bayou Interbasin Transfer to evaluate potential outcomes from three hypothetical flow scenarios. Overall, these scenarios found that the Luce Bayou Interbasin Transfer would cause salinities to moderately rise over most of the modeled time (2009–2017), although salinities were buffered under 2011 drought conditions. Large inflow events equalized salinities under baseline conditions as well as the enhanced flow scenarios.

","language":"English","publisher":"Texas Water Resources Institute","doi":"10.21423/twj.v11i1.7094","usgsCitation":"Smith, E.A., and Shah, S.D., 2020, Hydrodynamic modeling results showing the effects of the Luce Bayou interbasin transfer on salinity in Lake Houston, TX: Texas Water Journal, v. 11, no. 1, p. 64-88, https://doi.org/10.21423/twj.v11i1.7094.","productDescription":"25 p.","startPage":"64","endPage":"88","ipdsId":"IP-107391","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":456306,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.21423/twj.v11i1.7094","text":"Publisher Index Page"},{"id":436921,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AVUJ73","text":"USGS data release","linkHelpText":"Lake Houston (Texas) EFDC hydrodynamic model for water-surface elevation and specific conductance simulations, 2009-2017"},{"id":375850,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Lake Houston, Luce Bayou","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.11533737182616,\n 30.044430015213965\n ],\n [\n -95.10314941406249,\n 30.045767374787093\n ],\n [\n -95.09679794311523,\n 30.052453901811464\n ],\n [\n -95.08563995361328,\n 30.081423634757307\n ],\n [\n -95.07431030273438,\n 30.09894991821156\n ],\n [\n -95.0592041015625,\n 30.10592986084689\n ],\n [\n -95.0533676147461,\n 30.11944281648474\n ],\n [\n -95.03860473632812,\n 30.128351446338055\n ],\n [\n -95.01869201660156,\n 30.140376821599734\n ],\n [\n -95.0126838684082,\n 30.148392924428762\n ],\n [\n -95.04392623901367,\n 30.133250850150496\n ],\n [\n -95.0621223449707,\n 30.121224606751863\n ],\n [\n -95.06658554077148,\n 30.107117887092357\n ],\n [\n -95.08289337158203,\n 30.10236569641242\n ],\n [\n -95.09920120239256,\n 30.08216633691056\n ],\n [\n -95.10074615478516,\n 30.07280788225917\n ],\n [\n -95.1060676574707,\n 30.066865546842724\n ],\n [\n -95.10932922363281,\n 30.053642570466106\n ],\n [\n -95.1222038269043,\n 30.052899654229005\n ],\n [\n -95.12392044067383,\n 30.043835627386027\n ],\n [\n -95.11533737182616,\n 30.044430015213965\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.13198852539062,\n 29.91090055463952\n ],\n [\n -95.11344909667969,\n 29.92696926999306\n ],\n [\n -95.1361083984375,\n 29.94660528850718\n ],\n [\n -95.11207580566406,\n 29.9793233715619\n ],\n [\n -95.11276245117188,\n 29.99478635165809\n ],\n [\n -95.10177612304688,\n 30.010841512528764\n ],\n [\n -95.10726928710938,\n 30.0405664305846\n ],\n [\n -95.14778137207031,\n 30.088107753367257\n ],\n [\n -95.16288757324219,\n 30.080978010788556\n ],\n [\n -95.15602111816406,\n 30.06255713055085\n ],\n [\n -95.13473510742186,\n 30.041160838027047\n ],\n [\n -95.15602111816406,\n 30.050670872077248\n ],\n [\n -95.19378662109375,\n 30.035811042667792\n ],\n [\n -95.24940490722656,\n 30.028083050581905\n ],\n [\n -95.2459716796875,\n 30.012030680358613\n ],\n [\n -95.21713256835938,\n 30.015003537560943\n ],\n [\n -95.19584655761719,\n 30.012625258927418\n ],\n [\n -95.16288757324219,\n 30.01738175916562\n ],\n [\n -95.15190124511719,\n 30.007273923504556\n ],\n [\n -95.14915466308594,\n 29.989434054144688\n ],\n [\n -95.17662048339844,\n 29.952554831950987\n ],\n [\n -95.16838073730469,\n 29.91923280484215\n ],\n [\n -95.13198852539062,\n 29.91090055463952\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-06-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Erik A. 0000-0001-8434-0798 easmith@usgs.gov","orcid":"https://orcid.org/0000-0001-8434-0798","contributorId":1405,"corporation":false,"usgs":true,"family":"Smith","given":"Erik","email":"easmith@usgs.gov","middleInitial":"A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791375,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shah, Sachin D. 0000-0002-5440-5535 sdshah@usgs.gov","orcid":"https://orcid.org/0000-0002-5440-5535","contributorId":194450,"corporation":false,"usgs":true,"family":"Shah","given":"Sachin","email":"sdshah@usgs.gov","middleInitial":"D.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791376,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70211703,"text":"70211703 - 2020 - A newly emerging thermal area in Yellowstone","interactions":[],"lastModifiedDate":"2020-08-07T13:44:28.762634","indexId":"70211703","displayToPublicDate":"2020-06-23T08:39:43","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"A newly emerging thermal area in Yellowstone","docAbstract":"Yellowstone is a large restless caldera that contains many dynamic thermal areas that are the surface expression of the deeper magmatic system. In 2018, using a Landsat 8 nighttime thermal infrared image, we discovered the emergence of a new thermal area located near Tern Lake on the northeast margin of the Sour Creek dome. A high-spatial-resolution airborne visible image from August 2017 revealed a large (~33,000 m2) area of recently fallen trees, mostly devoid of vegetation, with bright soil, similar to other nearby thermal areas. Field observations in August 2019 confirmed that this was a steam-heated acid-sulfate thermal area, with an arc-shaped zone of hydrothermally altered soil and heated ground, with surface temperatures of 60-80 °C, several steaming fumaroles, and boiling temperatures (93 °C) just beneath the surface. Fallen trees in contact with warm ground were being carbonized, yet there were some cooler areas with new trees growing. Observations of stressed or dying vegetation from archived satellite and airborne remote sensing data going back to 1994 indicated that this thermal area started emerging around 2000. It increased in size slowly until around 2005, when the radiative heat output started measurably increasing. From 2005 to 2012 it grew more rapidly; and from 2012 through 2019 the growth rate slowed and the heat output stabilized. We predict that this stabilizing trend will continue in the coming years. The initial formation of this new thermal area was not clearly linked to any distinct seismic or geodetic events, although the period of rapid growth partly coincided with a period of rapid local uplift, possibly suggesting a causative relationship. The identification of this emerging thermal area illustrates the importance of satellite thermal infrared imaging combined with high-spatial-resolution remote sensing data and field observations for mapping, measuring, and monitoring Yellowstone's thermal areas. It is also an example of the dynamics we expect to observe within large caldera systems like Yellowstone, where changes in the size and distribution of thermal areas are normal and do not indicate an impending eruption nor any significant changes in the broader magmatic system.","language":"English","publisher":"Frontiers","doi":"10.3389/feart.2020.00204","usgsCitation":"Vaughan, R.G., Hungerford, J., and Keller, B., 2020, A newly emerging thermal area in Yellowstone: Frontiers in Earth Science, v. 8, 204, 19 p., https://doi.org/10.3389/feart.2020.00204.","productDescription":"204, 19 p.","ipdsId":"IP-115041","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":456310,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2020.00204","text":"Publisher Index Page"},{"id":377169,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.05529785156249,\n 43.31718491566705\n ],\n [\n -108.907470703125,\n 43.31718491566705\n ],\n [\n -108.907470703125,\n 45.01141864227728\n ],\n [\n -111.05529785156249,\n 45.01141864227728\n ],\n [\n -111.05529785156249,\n 43.31718491566705\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","noUsgsAuthors":false,"publicationDate":"2020-06-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Vaughan, R. Greg 0000-0002-0850-6669","orcid":"https://orcid.org/0000-0002-0850-6669","contributorId":69030,"corporation":false,"usgs":true,"family":"Vaughan","given":"R.","email":"","middleInitial":"Greg","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":795178,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hungerford, Jefferson 0000-0003-2651-2285","orcid":"https://orcid.org/0000-0003-2651-2285","contributorId":229552,"corporation":false,"usgs":false,"family":"Hungerford","given":"Jefferson","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":795179,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keller, Bill","contributorId":237086,"corporation":false,"usgs":false,"family":"Keller","given":"Bill","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":795180,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70210864,"text":"70210864 - 2020 - Surface displacement distributions for the July 2019 Ridgecrest, California earthquake ruptures","interactions":[],"lastModifiedDate":"2020-08-27T14:59:49.382006","indexId":"70210864","displayToPublicDate":"2020-06-23T07:55:09","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Surface displacement distributions for the July 2019 Ridgecrest, California earthquake ruptures","docAbstract":"

Surface rupture in the 2019 Ridgecrest, California, earthquake sequence occurred along two orthogonal cross faults and includes dominantly left‐lateral and northeast‐striking rupture in the Mw\">Mw 6.4 foreshock and dominantly right‐lateral and northwest‐striking rupture in the Mw\">Mw 7.1 mainshock. We present &gt;650\">>650 field‐based, surface‐displacement observations for these ruptures and synthesize our results into cumulative along‐strike displacement distributions. Using these data, we calculate displacement gradients and compare our results with historical strike‐slip ruptures in the eastern California shear zone. For the Mw\">Mw 6.4 rupture, we report 96 displacements measured along 18 km of northeast‐striking rupture. Cumulative displacement curves for the rupture yield a mean left‐lateral displacement of 0.3–0.5 m and maximum of 0.7–1.6 m. Net mean vertical displacement based on the difference of down‐to‐the‐west (DTW) and down‐to‐the‐east (DTE) displacement curves is close to zero (0.02 m DTW). The Mw\">Mw 6.4 displacement distribution shows that the majority of displacement occurred southwest of the intersection with the Mw\">Mw 7.1 rupture. The Mw\">Mw 7.1 rupture is northwest‐striking and 50 km long based on 576 field measurements. Displacement curves indicate a mean right‐lateral displacement of 1.2–1.7 m and a maximum of 4.3–7.0 m. Net vertical displacement in the rupture averages 0.3 m DTW. The Mw\">Mw 7.1 displacement distributions demonstrate that maximum displacement occurred along a 12‐km‐long portion of the fault near the Mw\">Mw 7.1 epicenter, releasing 66% of the geologically based seismic moment along 24% of the total rupture length. Using our displacement distributions, we calculate kilometer‐scale displacement gradients for the Mw\">Mw 7.1 rupture. The steepest gradients (⁠&#x223C;1&#x2013;3&#x2009;&#x2009;m/km\">∼1–3  m/km⁠) flank the 12‐km‐long region of maximum displacement. In contrast, gradients for the 1992 Mw\">Mw 7.3 Landers and 1999 Mw\">Mw 7.1 Hector Mine earthquakes are &lt;0.6&#x2009;&#x2009;m/km\"><0.6  m/km. Our displacement distributions are important for understanding the influence of cross‐fault rupture on Mw\">Mw 6.4 and 7.1 rupture length and displacement and will facilitate comparisons with distributions generated remotely and at broader scales.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120200058","usgsCitation":"DuRoss, C., Gold, R.D., Dawson, T.E., Scharer, K., Kendrick, K.J., Akciz, S., Angster, S.J., Bachhuber, J., Bacon, S., Bennett, S.E., Blair, L., Brooks, B.A., Bullard, T., Burgess, W.P., Chupik, C., DeFrisco, M., Delano, J., Dolan, J.D., Frost, E., Graehl, N., Haddon, E., Hatem, A.E., Hernandez, J., Hitchcock, C.S., Hudnut, K., Thompson Jobe, J., Koehler, R.D., Kozaci, O., Ladinsky, T.C., Madugo, C., McPhillips, D., Milliner, C., Morelan, A., Olson, B., Patton, J., Philibosian, B.E., Pickering, A.J., Pierce, I., Ponti, D.J., Seitz, G.G., Spangler, E., Swanson, B.J., Thomas, K., Treiman, J., Valencia, F., Williams, A., and Zinke, R., 2020, Surface displacement distributions for the July 2019 Ridgecrest, California earthquake ruptures: Bulletin of the Seismological Society of America, v. 110, no. 4, p. 1400-1418, https://doi.org/10.1785/0120200058.","productDescription":"19 p.","startPage":"1400","endPage":"1418","ipdsId":"IP-118212","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":436922,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P986ILE2","text":"USGS data release","linkHelpText":"Surface Displacement Observations of the 2019 Ridgecrest, California Earthquake Sequence"},{"id":376011,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Ridgecrest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.2183837890625,\n 35.22767235493586\n ],\n [\n -116.96594238281249,\n 35.22767235493586\n ],\n [\n -116.96594238281249,\n 36.13787471840729\n ],\n [\n -118.2183837890625,\n 36.13787471840729\n ],\n [\n -118.2183837890625,\n 35.22767235493586\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"110","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-06-23","publicationStatus":"PW","contributors":{"authors":[{"text":"DuRoss, Christopher B. 0000-0002-6963-7451 cduross@usgs.gov","orcid":"https://orcid.org/0000-0002-6963-7451","contributorId":152321,"corporation":false,"usgs":true,"family":"DuRoss","given":"Christopher","email":"cduross@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":791768,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gold, Ryan D. 0000-0002-4464-6394 rgold@usgs.gov","orcid":"https://orcid.org/0000-0002-4464-6394","contributorId":3883,"corporation":false,"usgs":true,"family":"Gold","given":"Ryan","email":"rgold@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":791769,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dawson, Timothy E.","contributorId":24429,"corporation":false,"usgs":false,"family":"Dawson","given":"Timothy","email":"","middleInitial":"E.","affiliations":[{"id":7099,"text":"Calif. 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No abstract available. 

","language":"English","publisher":"Frontiers","doi":"10.3389/feart.2020.00210","usgsCitation":"Carlin, J., Addison, J.A., Wagner, A., Schwartz, V.E., Hayward, J., and Severin, V., 2020, Response: Commentary: Variability in Shelf Sedimentation in Response to Fluvial Sediment Supply and Coastal Erosion Over the Past 1,000 Years in Monterey Bay, CA, United States: Frontiers in Earth Science, v. 8, 210, 3 p., https://doi.org/10.3389/feart.2020.00210.","productDescription":"210, 3 p.","ipdsId":"IP-114834","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":456317,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2020.00210","text":"Publisher Index Page"},{"id":396093,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","noUsgsAuthors":false,"publicationDate":"2020-06-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Carlin, Joe 0000-0002-6626-4127","orcid":"https://orcid.org/0000-0002-6626-4127","contributorId":279636,"corporation":false,"usgs":false,"family":"Carlin","given":"Joe","email":"","affiliations":[{"id":57322,"text":"California State University - Fullerton","active":true,"usgs":false}],"preferred":false,"id":835247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Addison, Jason A. 0000-0003-2416-9743 jaddison@usgs.gov","orcid":"https://orcid.org/0000-0003-2416-9743","contributorId":4192,"corporation":false,"usgs":true,"family":"Addison","given":"Jason","email":"jaddison@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":835248,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wagner, Amy","contributorId":279638,"corporation":false,"usgs":false,"family":"Wagner","given":"Amy","email":"","affiliations":[{"id":57324,"text":"California State University - Sacramento","active":true,"usgs":false}],"preferred":false,"id":835249,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schwartz, Valerie Evelyn 0000-0003-2874-8435","orcid":"https://orcid.org/0000-0003-2874-8435","contributorId":279639,"corporation":false,"usgs":true,"family":"Schwartz","given":"Valerie","email":"","middleInitial":"Evelyn","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":835250,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hayward, Jamie","contributorId":279640,"corporation":false,"usgs":false,"family":"Hayward","given":"Jamie","email":"","affiliations":[{"id":57322,"text":"California State University - Fullerton","active":true,"usgs":false}],"preferred":false,"id":835251,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Severin, Victoria","contributorId":279641,"corporation":false,"usgs":false,"family":"Severin","given":"Victoria","email":"","affiliations":[{"id":57322,"text":"California State University - Fullerton","active":true,"usgs":false}],"preferred":false,"id":835252,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70210732,"text":"ofr20201066 - 2020 - Sample-size considerations for a study of shorebird nest survival in the 1002 Area, Arctic National Wildlife Refuge, Alaska","interactions":[],"lastModifiedDate":"2020-06-24T17:11:34.675769","indexId":"ofr20201066","displayToPublicDate":"2020-06-22T12:30:12","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1066","displayTitle":"Sample-Size Considerations for a Study of Shorebird Nest Survival in the 1002 Area, Arctic National Wildlife Refuge, Alaska","title":"Sample-size considerations for a study of shorebird nest survival in the 1002 Area, Arctic National Wildlife Refuge, Alaska","docAbstract":"

Authorization of lease sales for oil development in the 1002 Area of the Arctic National Wildlife Refuge has highlighted gaps in information about biological communities in the area. The U.S. Fish and Wildlife Service, which is planning a study to evaluate spatial variation in the nest survival of tundra-breeding shorebirds to identify hotspots with high nest survival, sought advice from the U.S. Geological Survey on how to predict which sampling designs might be successful in achieving the study goals. I used previously obtained data on nest survival from Alaska’s North Slope to develop a simulation study that explored the statistical consequences of various sampling designs in the context of expected ranges of values of biological parameters. Of all sampling parameters, the number of nests per plot had the strongest influence on the ability to detect hotspots, followed by number of years of monitoring and the age at which nests were found. The benefit of sampling 98 plots instead of 68 was relatively small. Ages of nests cannot be predicted a priori, so I developed a field reference chart to identify when further nest-searching would be useful for a given plot. This simulation study used the best available information, but values of biological parameters will become better defined following subsequent data collection in the 1002 Area. Data from upcoming field seasons could be used to refine this analysis and improve estimation of the expected results of the field study, thus maximizing the likelihood that data from the 1002 Area nest survival study will meet the monitoring goals.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201066","collaboration":"U.S. Geological Survey Wildlife Program","usgsCitation":"Weiser, E., 2020, Sample-size considerations for a study of shorebird nest survival in the 1002 Area, Arctic National Wildlife Refuge, Alaska: U.S. Geological Survey Open-File Report 2020–1066, 18 p., https://doi.org/10.3133/ofr20201066","productDescription":"iv, 18 p.","onlineOnly":"Y","ipdsId":"IP-116976","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":375788,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1066/coverthb.jpg"},{"id":375789,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1066/ofr20201066.pdf","text":"Report","size":"9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1066"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -157.6318359375,\n 68.56038368664157\n ],\n [\n -141.1083984375,\n 68.56038368664157\n ],\n [\n -141.1083984375,\n 71.81512993041657\n ],\n [\n -157.6318359375,\n 71.81512993041657\n ],\n [\n -157.6318359375,\n 68.56038368664157\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Alaska Science Center
U.S. Geological Survey
4210 University Drive
Anchorage, Alaska 99508

","tableOfContents":"","publishedDate":"2020-06-22","noUsgsAuthors":false,"publicationDate":"2020-06-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Weiser, Emily L. 0000-0003-1598-659X","orcid":"https://orcid.org/0000-0003-1598-659X","contributorId":206605,"corporation":false,"usgs":true,"family":"Weiser","given":"Emily","email":"","middleInitial":"L.","affiliations":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"preferred":true,"id":791165,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70211119,"text":"70211119 - 2020 - The Fire and Tree Mortality Database, for empirical modeling of individual tree mortality after fire","interactions":[],"lastModifiedDate":"2020-07-16T17:44:25.115906","indexId":"70211119","displayToPublicDate":"2020-06-22T11:14:51","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3907,"text":"Scientific Data","active":true,"publicationSubtype":{"id":10}},"title":"The Fire and Tree Mortality Database, for empirical modeling of individual tree mortality after fire","docAbstract":"

Wildland fires have a multitude of ecological effects in forests, woodlands, and savannas across the globe. A major focus of past research has been on tree mortality from fire, as trees provide a vast range of biological services. We assembled a database of individual-tree records from prescribed fires and wildfires in the United States. The Fire and Tree Mortality (FTM) database includes records from 164,293 individual trees with records of fire injury (crown scorch, bole char, etc.), tree diameter, and either mortality or top-kill up to ten years post-fire. Data span 142 species and 62 genera, from 409 fires occurring from 1981-2016. Additional variables such as insect attack are included when available. The FTM database can be used to evaluate individual fire-caused mortality models for pre-fire planning and post-fire decision support, to develop improved models, and to explore general patterns of individual fire-induced tree death. The database can also be used to identify knowledge gaps that could be addressed in future research.

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Turtles and tortoises (chelonians) have been integral components of global ecosystems for about 220 million years and have played important roles in human culture for at least 400,000 years. The chelonian shell is a remarkable evolutionary adaptation, facilitating success in terrestrial, freshwater and marine ecosystems. Today, more than half of the 360 living species and 482 total taxa (species and subspecies combined) are threatened with extinction. This places chelonians among the groups with the highest extinction risk of any sizeable vertebrate group. Turtle populations are declining rapidly due to habitat loss, consumption by humans for food and traditional medicines and collection for the international pet trade. Many taxa could become extinct in this century. Here, we examine survival threats to turtles and tortoises and discuss the interventions that will be needed to prevent widespread extinction in this group in coming decades.

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chemistry","interactions":[],"lastModifiedDate":"2020-09-10T19:55:23.839861","indexId":"70210731","displayToPublicDate":"2020-06-22T09:22:36","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5967,"text":"Chemical Society Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Gas hydrates in sustainable chemistry","docAbstract":"Gas hydrates have received considerable attention due to their important role in flow assurance for the oil and gas industry, their extensive natural occurrence on Earth and extraterrestrial planets, and their significant applications in sustainable technologies including but not limited to gas and energy storage, gas separation, and water desalination. Given not only their inherent structural flexibility depending on the type of guest gas molecules and formation conditions, but also the synthetic effects of a wide range of chemical additives on their properties, these variabilities could be exploited to optimise the role of gas hydrates. This includes increasing their industrial applications, understanding and utilising their role in Nature, identifying potential methods for safely extracting natural gases stored in naturally occurring hydrates within the Earth, and for developing green technologies. This review summarizes the different properties of gas hydrates as well as their formation and dissociation kinetics and then reviews the fast-growing literature reporting their role and applications in the aforementioned fields, mainly concentrating on advances during the last decade. Challenges, limitations, and future perspectives of each field are briefly discussed. The overall objective of this review is to provide readers with an extensive overview of gas hydrates that we hope will stimulate further work on this riveting field.","language":"English","publisher":"Royal Society of Chemistry","doi":"10.1039/C8CS00989A","usgsCitation":"Hassanpouryouzband, A., Joonaki, E., Vasheghani Farahania, M., Takeya, S., Ruppel, C.D., Yang, J., English, N., Schicks, J., Edlmann, K., Mehrabian, H., and Tohidi, B., 2020, Gas hydrates in sustainable chemistry: Chemical Society Reviews, v. 49, p. 5225-5309, https://doi.org/10.1039/C8CS00989A.","productDescription":"85 p.","startPage":"5225","endPage":"5309","ipdsId":"IP-116534","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":456327,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1039/c8cs00989a","text":"Publisher Index Page"},{"id":375787,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hassanpouryouzband, Aliakbar","contributorId":225426,"corporation":false,"usgs":false,"family":"Hassanpouryouzband","given":"Aliakbar","email":"","affiliations":[{"id":41105,"text":"Heriot-Watt University, Edinburgh, Scotland","active":true,"usgs":false}],"preferred":false,"id":791153,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Joonaki, Edris","contributorId":225427,"corporation":false,"usgs":false,"family":"Joonaki","given":"Edris","email":"","affiliations":[{"id":41105,"text":"Heriot-Watt University, Edinburgh, Scotland","active":true,"usgs":false}],"preferred":false,"id":791154,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vasheghani Farahania, Mehrdad","contributorId":225428,"corporation":false,"usgs":false,"family":"Vasheghani Farahania","given":"Mehrdad","email":"","affiliations":[{"id":41105,"text":"Heriot-Watt University, Edinburgh, Scotland","active":true,"usgs":false}],"preferred":false,"id":791155,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Takeya, Satoshi","contributorId":225429,"corporation":false,"usgs":false,"family":"Takeya","given":"Satoshi","email":"","affiliations":[{"id":41106,"text":"AIST, Japan","active":true,"usgs":false}],"preferred":false,"id":791156,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ruppel, Carolyn D. 0000-0003-2284-6632 cruppel@usgs.gov","orcid":"https://orcid.org/0000-0003-2284-6632","contributorId":195778,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn","email":"cruppel@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":791157,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yang, Jinhai","contributorId":225430,"corporation":false,"usgs":false,"family":"Yang","given":"Jinhai","email":"","affiliations":[{"id":41105,"text":"Heriot-Watt University, Edinburgh, Scotland","active":true,"usgs":false}],"preferred":false,"id":791158,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"English, Neill","contributorId":225431,"corporation":false,"usgs":false,"family":"English","given":"Neill","email":"","affiliations":[{"id":41107,"text":"University College Dublin, Ireland","active":true,"usgs":false}],"preferred":false,"id":791159,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schicks, Judith","contributorId":225432,"corporation":false,"usgs":false,"family":"Schicks","given":"Judith","email":"","affiliations":[{"id":41108,"text":"GFZ Postdam","active":true,"usgs":false}],"preferred":false,"id":791160,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Edlmann, Katriona","contributorId":225433,"corporation":false,"usgs":false,"family":"Edlmann","given":"Katriona","email":"","affiliations":[{"id":41109,"text":"University of Edinburgh,Scotland","active":true,"usgs":false}],"preferred":false,"id":791161,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Mehrabian, Hadi","contributorId":225434,"corporation":false,"usgs":false,"family":"Mehrabian","given":"Hadi","email":"","affiliations":[{"id":12444,"text":"Massachusetts Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":791162,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Tohidi, Bahman","contributorId":225435,"corporation":false,"usgs":false,"family":"Tohidi","given":"Bahman","email":"","affiliations":[{"id":41105,"text":"Heriot-Watt University, Edinburgh, Scotland","active":true,"usgs":false}],"preferred":false,"id":791163,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70223191,"text":"70223191 - 2020 - The 1933 Long Beach Earthquake (California, USA): Ground motions and rupture scenario","interactions":[],"lastModifiedDate":"2021-08-17T12:40:37.989468","indexId":"70223191","displayToPublicDate":"2020-06-22T07:39:11","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"The 1933 Long Beach Earthquake (California, USA): Ground motions and rupture scenario","docAbstract":"

We present a synoptic analysis of the ground motions from the 11 March 1933 Mw 6.4 Long Beach, California, earthquake, the largest known earthquake within the central Los Angeles Basin region. Our inferred shaking intensity pattern supports the association of the earthquake with the Newport-Inglewood fault; it further illuminates the concentration of severe damage in the town of Compton, where accounts suggest vertical ground motions exceeding 1 g. We use a broadband simulation approach to develop a rupture scenario for this earthquake, informed by the damage distribution. The predicted shaking for a 25-km-long fault matches the intensity distribution, with an indication that non-linear site response on soft sediments in some near-field regions was stronger than predicted using a simple model to account for non-linearity. Our results suggest that the concentration of damage near Compton can be explained by a combination of local site amplification, source-controlled directivity, and three-dimensional basin effects whereby energy was channeled towards the deepest part of the Los Angeles Basin.

","language":"English","publisher":"Nature","doi":"10.1038/s41598-020-66299-w","usgsCitation":"Hough, S.E., and Graves, R., 2020, The 1933 Long Beach Earthquake (California, USA): Ground motions and rupture scenario: Scientific Reports, v. 10, 10017, 10 p., https://doi.org/10.1038/s41598-020-66299-w.","productDescription":"10017, 10 p.","ipdsId":"IP-119086","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":456331,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-020-66299-w","text":"Publisher Index Page"},{"id":387981,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Long Beach","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.33923339843749,\n 33.678639851675555\n ],\n [\n -118.0206298828125,\n 33.678639851675555\n ],\n [\n -118.0206298828125,\n 33.88865750124075\n ],\n [\n -118.33923339843749,\n 33.88865750124075\n ],\n [\n -118.33923339843749,\n 33.678639851675555\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","noUsgsAuthors":false,"publicationDate":"2020-06-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Hough, Susan E. 0000-0002-5980-2986","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":263442,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":821326,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graves, Robert 0000-0001-9758-453X rwgraves@usgs.gov","orcid":"https://orcid.org/0000-0001-9758-453X","contributorId":140738,"corporation":false,"usgs":true,"family":"Graves","given":"Robert","email":"rwgraves@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":821327,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70210711,"text":"ofr20201067 - 2020 - Water-quality, bed-sediment, and invertebrate tissue trace-element concentrations for tributaries in the Clark Fork Basin, Montana, October 2017–September 2018","interactions":[],"lastModifiedDate":"2020-06-22T14:34:37.361537","indexId":"ofr20201067","displayToPublicDate":"2020-06-22T07:18:53","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-1067","displayTitle":"Water-Quality, Bed-Sediment, and Invertebrate Tissue Trace-Element Concentrations for Tributaries in the Clark Fork Basin, Montana, October 2017–September 2018","title":"Water-quality, bed-sediment, and invertebrate tissue trace-element concentrations for tributaries in the Clark Fork Basin, Montana, October 2017–September 2018","docAbstract":"

Water, bed sediment, and invertebrate tissue were sampled in streams from Butte to near Missoula, Montana, as part of a monitoring program in the Clark Fork Basin. The sampling program was completed by the U.S. Geological Survey, in cooperation with the U.S. Environmental Protection Agency, to characterize aquatic resources in the Clark Fork Basin and monitor trace elements associated with historical mining and smelting activities. Sampling sites were on the river and tributaries of the Clark Fork. Water samples were collected periodically at 20 sites from October 2017 through September 2018. Bed-sediment and tissue samples were collected once at 13 sites during August 2018.

Water-quality data included concentrations of major ions, dissolved organic carbon, nitrogen (nitrate plus nitrite), trace elements, and suspended sediment. Daily values of turbidity were determined at four sites. Bed-sediment data included trace-element concentrations in the fine-grained (less than 0.063 millimeter) fraction. Biological data included trace-element concentrations in whole-body tissue of aquatic benthic invertebrates. Statistical summaries of water-quality, bed-sediment, and invertebrate tissue trace element data for sites in the Clark Fork Basin were provided for the period of record: March 1985–September 2018.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201067","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Clark, G.D., Hornberger, M.I., Cleasby, T.E., Heinert, T.L., and Turner, M.A., 2020, Water-quality, bed-sediment, and invertebrate tissue trace-element concentrations for tributaries in the Clark Fork Basin, Montana, October 2017–September 2018: U.S. Geological Survey Open-File Report 2020–1067, 16 p., https://doi.org/10.3133/ofr20201067.","productDescription":"Report: vi, 16 p.; Data Release; Dataset","numberOfPages":"26","onlineOnly":"Y","ipdsId":"IP-115189","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":375701,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98IRLJF","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Water-quality, bed-sediment, and invertebrate tissue trace element concentrations for tributaries in the Clark Fork Basin, Montana, October 2017–September 2018"},{"id":375700,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1067/ofr20201067.pdf","text":"Report","size":"1.00 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020–1067"},{"id":375699,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1067/coverthb.jpg"},{"id":375702,"rank":4,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System","description":"NWIS","linkHelpText":"— USGS Water Data for the Nation"}],"country":"United States","state":"Montana","otherGeospatial":"Clark Fork Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.345703125,\n 45.24395342262324\n ],\n [\n -111.181640625,\n 45.24395342262324\n ],\n [\n -111.181640625,\n 47.264320080254805\n ],\n [\n -114.345703125,\n 47.264320080254805\n ],\n [\n -114.345703125,\n 45.24395342262324\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Wyoming-Montana Water Science Center
U.S. Geological Survey
3162 Boseman Avenue
Helena, MT 59601

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2020-06-22","noUsgsAuthors":false,"publicationDate":"2020-06-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Clark, Gregory D. 0000-0003-0066-8193 gmclark@usgs.gov","orcid":"https://orcid.org/0000-0003-0066-8193","contributorId":224364,"corporation":false,"usgs":true,"family":"Clark","given":"Gregory","email":"gmclark@usgs.gov","middleInitial":"D.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791064,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hornberger, Michelle I. 0000-0002-7787-3446 mhornber@usgs.gov","orcid":"https://orcid.org/0000-0002-7787-3446","contributorId":1037,"corporation":false,"usgs":true,"family":"Hornberger","given":"Michelle","email":"mhornber@usgs.gov","middleInitial":"I.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":791065,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cleasby, Thomas E. 0000-0003-0694-1541","orcid":"https://orcid.org/0000-0003-0694-1541","contributorId":21993,"corporation":false,"usgs":true,"family":"Cleasby","given":"Thomas E.","affiliations":[],"preferred":false,"id":791066,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heinert, Terry L. 0000-0002-7478-1415 theinert@usgs.gov","orcid":"https://orcid.org/0000-0002-7478-1415","contributorId":4398,"corporation":false,"usgs":true,"family":"Heinert","given":"Terry","email":"theinert@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":791067,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Turner, Matthew A. 0000-0002-4472-7071 mturner@usgs.gov","orcid":"https://orcid.org/0000-0002-4472-7071","contributorId":173017,"corporation":false,"usgs":true,"family":"Turner","given":"Matthew A.","email":"mturner@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":false,"id":791068,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70210743,"text":"70210743 - 2020 - Sediment dynamics and implications for management: State of the science from long‐term research in the Chesapeake Bay watershed, USA","interactions":[],"lastModifiedDate":"2021-07-02T13:39:10.581031","indexId":"70210743","displayToPublicDate":"2020-06-21T10:06:10","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5067,"text":"WIREs Water","active":true,"publicationSubtype":{"id":10}},"title":"Sediment dynamics and implications for management: State of the science from long‐term research in the Chesapeake Bay watershed, USA","docAbstract":"This review aims to synthesize the current knowledge of sediment dynamics using insights from long‐term research conducted in the watershed draining to the Chesapeake Bay, the largest estuary in the U.S., to inform management actions to restore the estuary and its watershed. The sediment dynamics of the Chesapeake are typical of many impaired watersheds and estuaries around the world, and this synthesis is intended to be relevant and transferable to other sediment‐impaired systems. The watershed's sediment sources, transport, delivery, and impacts are discussed with implications for effectively implementing best management practices (BMPs) to mitigate sediment issues. This synthesis revealed three key issues to consider when planning actions to reduce sediment loading: Scale, time, and land use. Geology and historical land use generated a template that current land use and climate, in addition to management, are acting upon to control sediment delivery. Important sediment sources in the Chesapeake include the Piedmont physiographic region, urban, and agricultural land use, and streambank erosion of headwater streams, whereas floodplain trapping is important along larger streams and rivers. Implementation of BMPs is widespread and is predicted to lead to decreased sediment loading; however, reworking of legacy sediment stored in stream valleys, with potentially long residence times in storage, can delay and complicate detection of the effects of BMPs on sediment loads. In conclusion, the improved understanding of sediment sources, storage areas, and transport lag times reviewed here can help target choices of BMP types and locations to better manage sediment problems—for both local streams and receiving waters.","language":"English","publisher":"Wiley","doi":"10.1002/wat2.1454","usgsCitation":"Noe, G.E., Cashman, M.J., Skalak, K., Gellis, A.C., Hopkins, K.G., Moyer, D.L., Webber, J.S., Benthem, A.J., Maloney, K.O., Brakebill, J., Sekellick, A.J., Langland, M.J., Zhang, Q., Shenk, G.W., Keisman, J.L., and Hupp, C.R., 2020, Sediment dynamics and implications for management: State of the science from long‐term research in the Chesapeake Bay watershed, USA: WIREs Water, v. 4, no. 7, e1454, 28 p., https://doi.org/10.1002/wat2.1454.","productDescription":"e1454, 28 p.","ipdsId":"IP-107592","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":456332,"rank":0,"type":{"id":40,"text":"Open Access 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0000-0002-0440-7655","orcid":"https://orcid.org/0000-0002-0440-7655","contributorId":215462,"corporation":false,"usgs":true,"family":"Sekellick","given":"Andrew","middleInitial":"J.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791206,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Langland, Michael J. 0000-0002-8350-8779 langland@usgs.gov","orcid":"https://orcid.org/0000-0002-8350-8779","contributorId":2347,"corporation":false,"usgs":true,"family":"Langland","given":"Michael","email":"langland@usgs.gov","middleInitial":"J.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791207,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Zhang, Qian 0000-0003-0500-5655","orcid":"https://orcid.org/0000-0003-0500-5655","contributorId":174393,"corporation":false,"usgs":false,"family":"Zhang","given":"Qian","email":"","affiliations":[{"id":38802,"text":"University of Maryland Center for Environmental Studies","active":true,"usgs":false}],"preferred":false,"id":791208,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Shenk, Gary W. 0000-0001-6451-2513","orcid":"https://orcid.org/0000-0001-6451-2513","contributorId":225440,"corporation":false,"usgs":true,"family":"Shenk","given":"Gary","email":"","middleInitial":"W.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791209,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Keisman, Jennifer L. D. 0000-0001-6808-9193","orcid":"https://orcid.org/0000-0001-6808-9193","contributorId":210994,"corporation":false,"usgs":true,"family":"Keisman","given":"Jennifer","email":"","middleInitial":"L. D.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791210,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Hupp, Cliff R. 0000-0003-1853-9197 crhupp@usgs.gov","orcid":"https://orcid.org/0000-0003-1853-9197","contributorId":2344,"corporation":false,"usgs":true,"family":"Hupp","given":"Cliff","email":"crhupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":791211,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70228546,"text":"70228546 - 2020 - Balancing fish-energy-cost tradeoffs through strategic basin-wide dam management","interactions":[],"lastModifiedDate":"2022-02-14T20:23:17.020586","indexId":"70228546","displayToPublicDate":"2020-06-20T15:22:11","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3267,"text":"Resources, Conservation and Recycling","active":true,"publicationSubtype":{"id":10}},"title":"Balancing fish-energy-cost tradeoffs through strategic basin-wide dam management","docAbstract":"

Dam management often involves tradeoffs among hydropower generation capacity, environmental impacts, and project costs. However, our understandings of such tradeoffs under a full range of dam management options remain limited, which hinders our ability to make sound and scientifically defensible dam management decisions. In order to assess the scope for theoretical tradeoffs, a dynamic model of hydropower production, important fish populations, and project costs was developed using the system dynamics modeling technique. Three dam management options investigated the likely outcomes from: dam removal, fishway installation (e.g., pool-and-weir, Denil, and fish lift), and no action. The model was applied to the Penobscot River located in Maine, United States as a proof of concept, where recent actions (i.e., dam removal and fishway construction) have been undertaken. We modeled theoretical influence of these actions on four significant sea-run fish (alewife Alosa pseudoharengus, American shad Alosa sapidissima, Atlantic salmon Salmo salar, and sea lamprey Petromyzon marinus) by developing an index of spawner population potential based on population models for each species. Optimal dam management solutions may maximize spawner population potential and energy production to 60-62% of maximum achievable values while limiting the project cost to US$17 million (44% of the maximum value). Our results demonstrate that basin-scale management strategies may increase the migratory fish restoration while preserving hydropower generation capacity. Diversification of management options (e.g., combination of fishway installations, dam removals, and generation capacity) may increase the efficacy of strategic fish-energy-cost tradeoffs.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.resconrec.2020.104990","usgsCitation":"Song, C., O’Malley, A., Zydlewski, J.D., and Mo, W., 2020, Balancing fish-energy-cost tradeoffs through strategic basin-wide dam management: Resources, Conservation and Recycling, v. 161, 104990, 12 p., https://doi.org/10.1016/j.resconrec.2020.104990.","productDescription":"104990, 12 p.","ipdsId":"IP-117399","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":456334,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.resconrec.2020.104990","text":"Publisher Index Page"},{"id":395927,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Penobscot River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -69.8126220703125,\n 44.286502899553156\n ],\n [\n -67.63458251953125,\n 44.286502899553156\n ],\n [\n -67.63458251953125,\n 45.79625461321962\n ],\n [\n -69.8126220703125,\n 45.79625461321962\n ],\n [\n -69.8126220703125,\n 44.286502899553156\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"161","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Song, Cuihong","contributorId":265998,"corporation":false,"usgs":false,"family":"Song","given":"Cuihong","email":"","affiliations":[{"id":12667,"text":"University of New Hampshire","active":true,"usgs":false}],"preferred":false,"id":834541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Malley, Andrew","contributorId":169716,"corporation":false,"usgs":false,"family":"O’Malley","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":834542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":834540,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mo, Weiwei","contributorId":266002,"corporation":false,"usgs":false,"family":"Mo","given":"Weiwei","affiliations":[{"id":12667,"text":"University of New Hampshire","active":true,"usgs":false}],"preferred":false,"id":834543,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70228453,"text":"70228453 - 2020 - The influence of hunting pressure and ecological factors on fecal glucocorticoid metabolites in wild elk","interactions":[],"lastModifiedDate":"2022-02-11T19:12:12.37835","indexId":"70228453","displayToPublicDate":"2020-06-20T12:14:09","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3766,"text":"Wildlife Biology","active":true,"publicationSubtype":{"id":10}},"title":"The influence of hunting pressure and ecological factors on fecal glucocorticoid metabolites in wild elk","docAbstract":"

Climate change and human population growth have increased anthropogenic threats to biodiversity and habitat fragmentation. Ecologists and conservationists need tools to assess the effect of these ecological and environmental perturbations on organismal fitness. One possibility is glucocorticoids (e.g., cortisol and corticosterone) which integrate various factors such as anthropogenic disturbances, predation, food, or environmental stressors. Here we tested the hypothesis that fecal glucocorticoid metabolite concentrations (GCMs) in wild female elk (Cervus canadensis) increased as the hunting season progressed. We also examined the influence of year, food availability, and elk group size on fecal GCMs. We found that as the hunting season progressed, fecal GCMs tended to decrease. We also found that as the number of cows in a group increased, GCMs decreased, and found a strong effect of year on fecal GCMs, with samples collected in 2016 having lower fecal GCMs than those collected in 2015, 2017, and 2018. However, yearly variation was not driven by availability of hard mast forage. The lack of positive association between hunting pressure and fecal GCMs and identifying what is driving yearly variation in fecal GCMs warrants further study. We highlight the negative influence of group size, possibly due to vigilance, on fecal GCMs and the importance of examining ecologically relevant covariates to accurately identify main treatment effects.

","language":"English","doi":"10.2981/wlb.00683","usgsCitation":"Ensminger, D.C., Pritchard, C., Langkilde, T., Gingery, T., Banfield, J.E., and Walter, W., 2020, The influence of hunting pressure and ecological factors on fecal glucocorticoid metabolites in wild elk: Wildlife Biology, v. 2, 8 p., https://doi.org/10.2981/wlb.00683.","productDescription":"8 p.","ipdsId":"IP-115818","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":456337,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2981/wlb.00683","text":"Publisher Index Page"},{"id":395856,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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University","active":true,"usgs":false}],"preferred":false,"id":834341,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gingery, Tess","contributorId":275823,"corporation":false,"usgs":false,"family":"Gingery","given":"Tess","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":834342,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Banfield, Jeremiah E.","contributorId":275824,"corporation":false,"usgs":false,"family":"Banfield","given":"Jeremiah","email":"","middleInitial":"E.","affiliations":[{"id":12891,"text":"Pennsylvania Game Commission","active":true,"usgs":false}],"preferred":false,"id":834343,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walter, W. David 0000-0003-3068-1073","orcid":"https://orcid.org/0000-0003-3068-1073","contributorId":219540,"corporation":false,"usgs":true,"family":"Walter","given":"W. David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":834338,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70210744,"text":"70210744 - 2020 - Effects of harmful algal blooms and associated water-quality on endangered Lost River and shortnose suckers","interactions":[],"lastModifiedDate":"2020-06-23T15:25:45.030512","indexId":"70210744","displayToPublicDate":"2020-06-20T10:17:01","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1878,"text":"Harmful Algae","active":true,"publicationSubtype":{"id":10}},"title":"Effects of harmful algal blooms and associated water-quality on endangered Lost River and shortnose suckers","docAbstract":"

Anthropogenic eutrophication contributes to harmful blooms of cyanobacteria in freshwater ecosystems worldwide. In Upper Klamath Lake, Oregon, massive blooms of Aphanizomenon flos-aquae and smaller blooms of other cyanobacteria are associated with cyanotoxins, hypoxia, high pH, high concentrations of ammonia, and potentially hypercapnia. Recovery of the endangered Lost River sucker Deltistes luxatus and shortnose sucker Chasmistes brevirostris in Upper Klamath Lake is obstructed by low survival in the juvenile life stage. Water quality associated with the harmful algal blooms and their decomposition (crashes) is often singled out as the primary cause of juvenile sucker mortality. We investigated this general hypothesis with a review of relevant literature and data from decades of monitoring in Upper Klamath Lake. Microcystins, hepatotoxins produced by some cyanobacteria, are unlikely to be directly lethal to suckers; potential effects of other cyanotoxins that are present in the lake warrant investigation. Dissolved-oxygen saturation declined following bloom crashes, but was infrequently low enough for long enough in Upper Klamath Lake to cause direct sucker mortality. Hypercapnia could potentially reach lethal concentrations in the fall and winter, but did not appear to be associated with the summer algal blooms. pH was highest during peaks in cyanobacteria growth, but infrequently reached directly lethal levels (> 10.3). However, pH frequently reached an observed sub-lethal effect level for juvenile suckers (10.0). Un-ionized ammonia rarely exceeded even the lowest effect level measured for suckers. Rather than act as a direct cause of large-scale mortality, the available evidence suggests that water quality associated with massive blooms of cyanobacteria in Upper Klamath Lake contributes to chronic stress for juvenile suckers and may increase mortality due to other factors.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.hal.2020.101847","usgsCitation":"Burdick, S.M., Hewitt, D., Martin, B.A., Schenk, L.N., and Rounds, S.A., 2020, Effects of harmful algal blooms and associated water-quality on endangered Lost River and shortnose suckers: Harmful Algae, v. 97, 101847, 20 p., https://doi.org/10.1016/j.hal.2020.101847.","productDescription":"101847, 20 p.","ipdsId":"IP-109018","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":375815,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.81777954101561,\n 42.08905095219165\n ],\n [\n -121.73675537109374,\n 42.21733067375916\n ],\n [\n -121.78619384765624,\n 42.36970554816487\n ],\n [\n -121.89605712890624,\n 42.49235259142821\n ],\n [\n -121.90017700195312,\n 42.53992763032448\n ],\n [\n -121.92489624023436,\n 42.60566321006408\n ],\n [\n -122.00454711914061,\n 42.58544425738491\n ],\n [\n -122.04849243164061,\n 42.508552415528634\n ],\n [\n -122.09518432617186,\n 42.48323834594139\n ],\n [\n -122.08007812499999,\n 42.430552260619564\n ],\n [\n -122.04986572265624,\n 42.412304442420684\n ],\n [\n -122.01690673828124,\n 42.37274928510041\n ],\n [\n -121.98669433593749,\n 42.40115038362433\n ],\n [\n -121.97433471679689,\n 42.371734722510496\n ],\n [\n -121.95373535156249,\n 42.38086519582321\n ],\n [\n -121.92214965820311,\n 42.355499492256534\n ],\n [\n -121.95510864257811,\n 42.34433533786168\n ],\n [\n -121.93862915039061,\n 42.28340504748081\n ],\n [\n -121.90017700195312,\n 42.3047373589234\n ],\n [\n -121.85760498046875,\n 42.245801966774025\n ],\n [\n -121.81915283203126,\n 42.21936476344714\n ],\n [\n -121.80679321289062,\n 42.19596877629178\n ],\n [\n -121.86721801757812,\n 42.16645713841854\n ],\n [\n -121.84249877929688,\n 42.08599350447723\n ],\n [\n -121.82601928710938,\n 42.09007006868398\n ],\n [\n -121.81777954101561,\n 42.08905095219165\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"97","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Burdick, Summer M. 0000-0002-3480-5793 sburdick@usgs.gov","orcid":"https://orcid.org/0000-0002-3480-5793","contributorId":3448,"corporation":false,"usgs":true,"family":"Burdick","given":"Summer","email":"sburdick@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":791212,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hewitt, David A. 0000-0002-5387-0275","orcid":"https://orcid.org/0000-0002-5387-0275","contributorId":225441,"corporation":false,"usgs":true,"family":"Hewitt","given":"David A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":791213,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Barbara A. 0000-0002-9415-6377 barbara_ann_martin@usgs.gov","orcid":"https://orcid.org/0000-0002-9415-6377","contributorId":2855,"corporation":false,"usgs":true,"family":"Martin","given":"Barbara","email":"barbara_ann_martin@usgs.gov","middleInitial":"A.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":791214,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schenk, Liam N. 0000-0002-2491-0813 lschenk@usgs.gov","orcid":"https://orcid.org/0000-0002-2491-0813","contributorId":4273,"corporation":false,"usgs":true,"family":"Schenk","given":"Liam","email":"lschenk@usgs.gov","middleInitial":"N.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791215,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rounds, Stewart A. 0000-0002-8540-2206","orcid":"https://orcid.org/0000-0002-8540-2206","contributorId":205029,"corporation":false,"usgs":true,"family":"Rounds","given":"Stewart","email":"","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":791216,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70228940,"text":"70228940 - 2020 - Habitat associations and distributions of two endemic crayfishes, Cambarus (Erebicambarus) maculatus Hobbs & Pflieger, 1988 and Faxonius (Billecambarus) harrisonii (Faxon, 1884) (Decapoda: Astacoidea: Cambaridae), in the Meramec River drainage, Missouri, USA","interactions":[],"lastModifiedDate":"2022-02-24T16:03:02.114215","indexId":"70228940","displayToPublicDate":"2020-06-20T09:59:51","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"displayTitle":"Habitat associations and distributions of two endemic crayfishes, Cambarus (Erebicambarus) maculatus Hobbs & Pflieger, 1988 and Faxonius (Billecambarus) harrisonii (Faxon, 1884) (Decapoda: Astacoidea: Cambaridae), in the Meramec River drainage, Missouri, USA","title":"Habitat associations and distributions of two endemic crayfishes, Cambarus (Erebicambarus) maculatus Hobbs & Pflieger, 1988 and Faxonius (Billecambarus) harrisonii (Faxon, 1884) (Decapoda: Astacoidea: Cambaridae), in the Meramec River drainage, Missouri, USA","docAbstract":"

Understanding the habitat associations and distributions of rare species is important to inform management and policy decisions. Cambarus (Erebicambarus) maculatus  Hobbs & Pflieger, 1988, the freckled crayfish, and Faxonius (Billecambarus) harrisonii (Faxon, 1884), the belted crayfish, are two of Missouri’s endemic crayfish species. Both species are listed as Vulnerable (S3) on Missouri’s Species and Communities of Conservation Concern Checklist due to their limited range within the Meramec River drainage (MRD) and the impact of anthropogenic activities therein. Their distributional overlap offers an opportunity for multi-species research to address gaps in information required for conservation. We sampled 140 sites throughout the MRD during the summers of 2017 and 2018 for crayfishes and associated habitat variables, which we related to crayfish presence in an occupancy modeling framework. We found that C. maculatus occupancy was associated with larger stream size, boulder substrate, dolomite lithology, aquatic vegetation beds, dissolved oxygen, and pool mesohabitat. Faxonius harrisonii occupancy increased with boulder substrate, aquatic vegetation beds, the presence of C. maculatus, and decreased in third-order streams. We also expanded the known range for both species within the MRD. Range estimates (watershed area) for C. maculatus and F. harrisonii were 4,347 km2 and 3,690 km2, respectively. This study demonstrates the importance of targeted rather than opportunistic sampling for species distribution.

","language":"English","publisher":"Oxford University Press","doi":"10.1093/jcbiol/ruaa033","usgsCitation":"Chilton, J., Rosenberger, A.E., and DiStefano, R., 2020, Habitat associations and distributions of two endemic crayfishes, Cambarus (Erebicambarus) maculatus Hobbs & Pflieger, 1988 and Faxonius (Billecambarus) harrisonii (Faxon, 1884) (Decapoda: Astacoidea: Cambaridae), in the Meramec River drainage, Missouri, USA, v. 40, no. 4, p. 351-363, https://doi.org/10.1093/jcbiol/ruaa033.","productDescription":"13 p.","startPage":"351","endPage":"363","ipdsId":"IP-123414","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":456340,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jcbiol/ruaa033","text":"Publisher Index Page"},{"id":396426,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","otherGeospatial":"Meramec River drainage","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.90887451171875,\n 37.54239958054064\n ],\n [\n -90.428466796875,\n 37.54239958054064\n ],\n [\n -90.428466796875,\n 38.59970036588819\n ],\n [\n -91.90887451171875,\n 38.59970036588819\n ],\n [\n -91.90887451171875,\n 37.54239958054064\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"40","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-06-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Chilton, J.","contributorId":280068,"corporation":false,"usgs":false,"family":"Chilton","given":"J.","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":835981,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenberger, Amanda E. 0000-0002-5520-8349 arosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5520-8349","contributorId":5581,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","email":"arosenberger@usgs.gov","middleInitial":"E.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":835983,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DiStefano, Robert J.","contributorId":213268,"corporation":false,"usgs":false,"family":"DiStefano","given":"Robert J.","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":835982,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70210930,"text":"70210930 - 2020 - Divergent biotic and abiotic filtering of root endosphere and rhizosphere soil fungal communities along ecological gradients","interactions":[],"lastModifiedDate":"2020-07-07T14:16:05.435292","indexId":"70210930","displayToPublicDate":"2020-06-20T09:12:48","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1619,"text":"FEMS Microbiology Ecology","onlineIssn":"1574-6941","printIssn":"0168-6496","active":true,"publicationSubtype":{"id":10}},"title":"Divergent biotic and abiotic filtering of root endosphere and rhizosphere soil fungal communities along ecological gradients","docAbstract":"Plant roots assemble two distinct microbial compartments: the rhizosphere (microbes in soil surrounding roots) and the endosphere (microbes within roots). Our knowledge of fungal community assembly in these compartments is limited, especially in wetlands. We tested the hypothesis that biotic factors would have direct effects on rhizosphere and endosphere assembly, while abiotic factors would have direct and indirect effects. Using a field study, we examined the influences of salinity, water level and biotic factors on baldcypress (Taxodium distichum) fungal communities. We found that endosphere fungi were correlated with host density and canopy cover as opposed to rhizosphere, suggesting that hosts can impose selective filters on fungi colonizing into their roots. Meanwhile, local abiotic conditions strongly influenced both rhizosphere and endosphere diversity in opposite patterns: e.g. highest endosphere diversity (hump-shaped) while lowest rhizosphere diversity (U-shaped) at intermediate salinity levels. These results indicate that the assembly and structure for the root endosphere and rhizosphere within a host can be shaped by different processes. Our results also highlight the importance of assessing how environmental changes affect plant and plant-associated fungal communities in wetland ecosystems where saltwater intrusion and sea level rise are major threats to both plant and fungal communities.","language":"English","publisher":"Oxford Academic","doi":"10.1093/femsec/fiaa124","usgsCitation":"Lumibao, C.Y., Kimbrough, E., Day, R., Conner, W.H., Krauss, K., and Van Bael, S.A., 2020, Divergent biotic and abiotic filtering of root endosphere and rhizosphere soil fungal communities along ecological gradients: FEMS Microbiology Ecology, v. 96, no. 7, fiaa124, https://doi.org/10.1093/femsec/fiaa124.","productDescription":"fiaa124","ipdsId":"IP-102460","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":376149,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"7","noUsgsAuthors":false,"publicationDate":"2020-06-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Lumibao, Candice Y 0000-0002-1414-7949","orcid":"https://orcid.org/0000-0002-1414-7949","contributorId":228830,"corporation":false,"usgs":false,"family":"Lumibao","given":"Candice","email":"","middleInitial":"Y","affiliations":[{"id":13500,"text":"Tulane University","active":true,"usgs":false}],"preferred":false,"id":792200,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kimbrough, Elizabeth 0000-0002-4007-6304","orcid":"https://orcid.org/0000-0002-4007-6304","contributorId":228831,"corporation":false,"usgs":false,"family":"Kimbrough","given":"Elizabeth","email":"","affiliations":[{"id":13500,"text":"Tulane University","active":true,"usgs":false}],"preferred":false,"id":792201,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day, Richard 0000-0002-5959-7054","orcid":"https://orcid.org/0000-0002-5959-7054","contributorId":222817,"corporation":false,"usgs":true,"family":"Day","given":"Richard","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":792202,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conner, William H.","contributorId":79376,"corporation":false,"usgs":false,"family":"Conner","given":"William","email":"","middleInitial":"H.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":792203,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krauss, Ken 0000-0003-2195-0729","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":219804,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":792204,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Van Bael, Sunshine A 0000-0001-7317-3533","orcid":"https://orcid.org/0000-0001-7317-3533","contributorId":228832,"corporation":false,"usgs":false,"family":"Van Bael","given":"Sunshine","email":"","middleInitial":"A","affiliations":[{"id":13500,"text":"Tulane University","active":true,"usgs":false}],"preferred":false,"id":792205,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}