{"pageNumber":"612","pageRowStart":"15275","pageSize":"25","recordCount":165855,"records":[{"id":70211837,"text":"70211837 - 2020 - A revised classification of the Xolmiini (Aves: Tyrannidae: Fluvicolinae), including a new genus for Muscisaxicola fluviatilis","interactions":[],"lastModifiedDate":"2020-08-07T20:47:00.093988","indexId":"70211837","displayToPublicDate":"2020-05-29T15:44:45","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3147,"text":"Proceedings of the Biological Society of Washington","active":true,"publicationSubtype":{"id":10}},"displayTitle":"A revised classification of the Xolmiini (Aves: Tyrannidae: Fluvicolinae), including a new genus for Muscisaxicola fluviatilis","title":"A revised classification of the Xolmiini (Aves: Tyrannidae: Fluvicolinae), including a new genus for Muscisaxicola fluviatilis","docAbstract":"

Recent studies using molecular phylogenetics have provided new insight into the composition of and relationships among species in the avian tribe Xolmiini. Key findings include the paraphyly of Xolmis, including the exclusion of X. dominicanus from the Xolmiini, and the apparent paraphyly of Muscisaxicola. We provide a revised classification of the Xolmiini, including a new genus for Muscisaxicola fluviatilis, based on the recent phylogenetic results.

","language":"English","publisher":"BioOne","doi":"10.2988/20-00002","usgsCitation":"Chesser, R., Harvey, M., Brumfield, R., and Derryberry, E.P., 2020, A revised classification of the Xolmiini (Aves: Tyrannidae: Fluvicolinae), including a new genus for Muscisaxicola fluviatilis: Proceedings of the Biological Society of Washington, v. 133, no. 1, p. 35-48, https://doi.org/10.2988/20-00002.","productDescription":"14 p.","startPage":"35","endPage":"48","ipdsId":"IP-116269","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":499868,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.lsu.edu/biosci_pubs/3519","text":"External Repository"},{"id":377202,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"133","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Chesser, R. Terry 0000-0003-4389-7092 tchesser@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-7092","contributorId":894,"corporation":false,"usgs":true,"family":"Chesser","given":"R. Terry","email":"tchesser@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":795314,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harvey, Michael G","contributorId":237791,"corporation":false,"usgs":false,"family":"Harvey","given":"Michael G","affiliations":[{"id":27996,"text":"Univ. of Tennessee","active":true,"usgs":false}],"preferred":false,"id":795315,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brumfield, Robb T","contributorId":215474,"corporation":false,"usgs":false,"family":"Brumfield","given":"Robb T","affiliations":[{"id":16154,"text":"LSU","active":true,"usgs":false}],"preferred":false,"id":795316,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Derryberry, Elizabeth P","contributorId":237792,"corporation":false,"usgs":false,"family":"Derryberry","given":"Elizabeth","email":"","middleInitial":"P","affiliations":[{"id":27996,"text":"Univ. of Tennessee","active":true,"usgs":false}],"preferred":false,"id":795317,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70211927,"text":"70211927 - 2020 - Recognition of typical antibiotic residues in environmental media related to groundwater in China (2009−2019)","interactions":[],"lastModifiedDate":"2020-08-11T19:37:23.234371","indexId":"70211927","displayToPublicDate":"2020-05-29T14:25:49","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2331,"text":"Journal of Hazardous Materials","active":true,"publicationSubtype":{"id":10}},"title":"Recognition of typical antibiotic residues in environmental media related to groundwater in China (2009−2019)","docAbstract":"

The potential adverse environmental and health-related impacts of antibiotics are becoming more and more concerning. China is globally the largest antibiotic producer and consumer, possibly resulting in the ubiquity and high detection levels of antibiotics in environmental compartments. Clear status on the concentration levels and spatial distribution of antibiotic contamination in China's environment is necessary to gain insight into the establishment of legal and regulatory frameworks. This study collects information from over 170 papers reporting the occurrence and distribution of antibiotics in China's environment. A total of 110 antibiotics were detected, and 28 priority antibiotics were ubiquitous in China in almost all compartments of the environment, excluding the atmosphere. Seven dominant antibiotics in all environment compartments were identified by cluster analysis, including tetracycline, oxytetracycline, chlortetracycline, ofloxacin, enrofloxacin, norfloxacin, and ciprofloxacin. Meanwhile, sulfamethoxazole, sulfadiazine, and sulfamethazine were also frequently found in aqueous phases. Among the main basins where antibiotics were detected, the Haihe River Basin had higher median antibiotic concentrations in surface water compared to other basins, while the Huaihe River Basin had higher median concentrations in sediment. The median values of antibiotic concentrations in the sources were as follows: animal manure, 39 μg/kg (microgram per kilogram); WWTP (wastewater treatment plant) sludge, 39 μg/kg; animal wastewater, 156 ng/L (nanogram per liter); WWTP effluent: 15 ng/L. These concentrations are 1 − 2 orders of magnitude higher than that of the receptors (soil, 2.1 μg/kg; sediment, 4.7 μg/kg; surface water, 8.1 ng/L; groundwater, 2.9 ng/L), whether in solid or aqueous phases. Based on the number of detected antibiotics in various environmental compartments, animal farms and WWTPs are the main sources of antibiotics, and surface water and sediment are the main receptors of antibiotics. Hierarchical clustering identified the two main pathways of antibiotic transfer in various environmental compartments, which are from animal wastewater/WWTP effluent to surface water/sediment and from animal manure/WWTP sludge to soil/groundwater.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhazmat.2020.122813","usgsCitation":"Huang, F., An, Z., Moran, M.J., and Liu, F., 2020, Recognition of typical antibiotic residues in environmental media related to groundwater in China (2009−2019): Journal of Hazardous Materials, v. 399, 122813, 13 p., https://doi.org/10.1016/j.jhazmat.2020.122813.","productDescription":"122813, 13 p.","ipdsId":"IP-109624","costCenters":[{"id":568,"text":"Southwest Biological Science 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Fuyang","contributorId":238021,"corporation":false,"usgs":false,"family":"Huang","given":"Fuyang","email":"","affiliations":[],"preferred":false,"id":795841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"An, Ziyi","contributorId":238022,"corporation":false,"usgs":false,"family":"An","given":"Ziyi","email":"","affiliations":[],"preferred":false,"id":795842,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moran, Michael J. 0000-0002-3901-8502 mjmoran@usgs.gov","orcid":"https://orcid.org/0000-0002-3901-8502","contributorId":238020,"corporation":false,"usgs":true,"family":"Moran","given":"Michael","email":"mjmoran@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":795843,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, Fei","contributorId":238023,"corporation":false,"usgs":false,"family":"Liu","given":"Fei","email":"","affiliations":[],"preferred":false,"id":795844,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70211853,"text":"70211853 - 2020 - Climate from the McMurdo Dry Valleys, Antarctica, 1986 – 2017: Surface air temperature trends and redefined summer season","interactions":[],"lastModifiedDate":"2020-08-10T17:00:40.623943","indexId":"70211853","displayToPublicDate":"2020-05-29T11:55:29","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5998,"text":"JGR Atmospheres","active":true,"publicationSubtype":{"id":10}},"title":"Climate from the McMurdo Dry Valleys, Antarctica, 1986 – 2017: Surface air temperature trends and redefined summer season","docAbstract":"

The weather of the McMurdo Dry Valleys, Antarctica, the largest ice‐free region of the Antarctica, has been continuously monitored since 1985 with currently 14 operational meteorological stations distributed throughout the valleys. Because climate is based on a 30‐year record of weather, this is the first study to truly define the contemporary climate of the McMurdo Dry Valleys. Mean air temperature and solar radiation based on all stations were −20°C and 102 W m−2, respectively. Depending on the site location, the mean annual air temperatures on the valleys floors ranged between −15°C and −30°C, and mean annual solar radiation varied between 72 and 122 W m−2. Surface air temperature decreased by 0.7°C per decade from 1986 to 2006 at Lake Hoare station (longest continuous record), after which the record is highly variable with no trend. All stations with sufficiently long records showed similar trend shifts in 2005 ±1 year. Summer is defined as November through February, using a physically based process: up‐valley warming from the coast associated with a change in atmospheric stability.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019JD032180","usgsCitation":"Obryk, M., Doran, P.T., Fountain, A., Myers, M., and McKay, C.P., 2020, Climate from the McMurdo Dry Valleys, Antarctica, 1986 – 2017: Surface air temperature trends and redefined summer season: JGR Atmospheres, v. 125, no. 13, e2019JD032180, 14 p., https://doi.org/10.1029/2019JD032180.","productDescription":"e2019JD032180, 14 p.","ipdsId":"IP-114211","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":499867,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.lsu.edu/geo_pubs/577","text":"External Repository"},{"id":377287,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Antarctica, McMurdo Dry Valleys","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 156.708984375,\n -78.61266542765814\n ],\n [\n 165.8935546875,\n -78.61266542765814\n ],\n [\n 165.8935546875,\n -76.39331166244494\n ],\n [\n 156.708984375,\n -76.39331166244494\n ],\n [\n 156.708984375,\n -78.61266542765814\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"125","issue":"13","noUsgsAuthors":false,"publicationDate":"2020-07-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Obryk, Maciej K. 0000-0002-8182-8656","orcid":"https://orcid.org/0000-0002-8182-8656","contributorId":203477,"corporation":false,"usgs":true,"family":"Obryk","given":"Maciej","middleInitial":"K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":795398,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doran, P. T.","contributorId":213879,"corporation":false,"usgs":false,"family":"Doran","given":"P.","email":"","middleInitial":"T.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":795399,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fountain, A. G.","contributorId":237823,"corporation":false,"usgs":false,"family":"Fountain","given":"A. G.","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":795400,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Myers, Monique","contributorId":219345,"corporation":false,"usgs":false,"family":"Myers","given":"Monique","email":"","affiliations":[{"id":39996,"text":"California Sea Grant","active":true,"usgs":false}],"preferred":false,"id":795401,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McKay, C. P.","contributorId":237824,"corporation":false,"usgs":false,"family":"McKay","given":"C.","email":"","middleInitial":"P.","affiliations":[{"id":24796,"text":"NASA Ames Research Center","active":true,"usgs":false}],"preferred":false,"id":795402,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70210102,"text":"70210102 - 2020 - Landslides across the United States: Occurrence, susceptibility, and data limitations","interactions":[],"lastModifiedDate":"2020-10-12T16:54:29.257116","indexId":"70210102","displayToPublicDate":"2020-05-29T10:10:44","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2604,"text":"Landslides","active":true,"publicationSubtype":{"id":10}},"title":"Landslides across the United States: Occurrence, susceptibility, and data limitations","docAbstract":"

Detailed information about landslide occurrence is the foundation for advancing process understanding, susceptibility mapping, and risk reduction. Despite the recent revolution in digital elevation data and remote sensing technologies, landslide mapping remains resource intensive. Consequently, a modern, comprehensive map of landslide occurrence across the United States (USA) has not been compiled. As a first step toward this goal, we present a national-scale compilation of existing, publicly available landslide inventories. This geodatabase can be downloaded in its entirety or viewed through an online, searchable map, with parsimonious attributes and direct links to the contributing sources with additional details. The mapped spatial pattern and concentration of landslides are consistent with prior characterization of susceptibility within the conterminous USA, with some notable exceptions on the West Coast. Although the database is evolving and known to be incomplete in many regions, it confirms that landslides do occur across the country, thus highlighting the importance of our national-scale assessment. The map illustrates regions where high-quality mapping has occurred and, in contrast, where additional resources could improve confidence in landslide characterization. For example, borders between states and other jurisdictions are quite apparent, indicating the variation in approaches to data collection by different agencies and disparity between the resources dedicated to landslide characterization. Further investigations are needed to better assess susceptibility and to determine whether regions with high relief and steep topography, but without mapped landslides, require further landslide inventory mapping. Overall, this map provides a new resource for accessing information about known landslides across the USA.

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Groundwater and Surface Water","title":"Regional hydrostratigraphic framework of Joint Base McGuire-Dix-Lakehurst and vicinity, New Jersey, in the context of perfluoroalkyl substances contamination of groundwater and surface water","docAbstract":"

A study was conducted by the U.S. Geological Survey, in cooperation with the U.S. Air Force, to describe the regional hydrostratigraphy of shallow aquifers and confining units underlying Joint Base McGuire-Dix-Lakehurst (JBMDL) and vicinity, New Jersey, in the context of contamination of groundwater and surface water by per- and polyfluoroalkyl substances (PFAS) potentially originating from JBMDL sources. The aquifers studied are two that crop out within JBMDL boundaries—the Kirkwood-Cohansey aquifer system and the Vincentown aquifer—and another aquifer near JBMDL that does not crop out at land surface—the Piney Point aquifer. The unconfined portion of the Vincentown aquifer and portions of the Kirkwood-Cohansey aquifer system that overlie the unconfined portion of the Vincentown aquifer are consolidated into, and described as, a single, separate unconfined aquifer system. Regionally extensive clay subunits that potentially create semiconfined hydrologic conditions within the mostly unconfined Kirkwood-Cohansey aquifer system also are identified. Two confining units were studied—the Manasquan-Shark River confining unit underlying the Kirkwood-Cohansey aquifer system, which includes the basal confining sediment in the Kirkwood Formation, and the Navesink-Hornerstown confining unit underlying the Vincentown aquifer. The hydrostratigraphic units are defined using available borehole geophysical logs, lithologic logs, and (or) drillers’ logs from 131 wells and are presented in a series of 8 aquifer structure maps and 12 cross sections. The framework positions JBMDL into a regional hydrostratigraphic structure for which higher-resolution delineation of the shallow aquifers can be constructed to determine potential pathways of PFAS contamination in groundwater to off-site drinking water wells in areas adjacent to JBMDL.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191134","collaboration":"Prepared in cooperation with the U.S. Air Force","usgsCitation":"Fiore, A.R., 2020, Regional hydrostratigraphic framework of Joint Base McGuire-Dix-Lakehurst and vicinity, New Jersey, in the context of perfluoroalkyl substances contamination of groundwater and surface water: U.S. Geological Survey Open-File Report 2019–1134, 42 p., https://doi.org/10.3133/ofr20191134.","productDescription":"Report: viii, 42 p.; 12 Plates: 30 x 24 inches; 2 Tables","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-107327","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":375120,"rank":8,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2019/1134/ofr20191134_plate06.pdf","text":"Plate 6","size":"1.87 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Map of the top of the confined portion of the Vincentown aquifer, Joint Base McGuire-Dix-Lakehurst and vicinity, New Jersey"},{"id":375125,"rank":13,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2019/1134/ofr20191134_plate11.pdf","text":"Plate 11","size":"533 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Sections F-F’ through I-I’, Joint Base McGuire-Dix-Lakehurst and vicinity, New Jersey"},{"id":375113,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1134/coverthb.jpg"},{"id":375114,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1134/ofr20191134.pdf","text":"Report","size":"9.75 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1134"},{"id":375115,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2019/1134/ofr20191134_plate01.pdf","text":"Plate 1","size":"1.21 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Map of well locations and outcrop areas of hydrostratigraphic units, Joint Base McGuire-Dix-Lakehurst and vicinity, New Jersey"},{"id":375116,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2019/1134/ofr20191134_plate02.pdf","text":"Plate 2","size":"1.42 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Map of the bottom of the Kirkwood-Cohansey aquifer system, Joint Base McGuire-Dix-Lakehurst and vicinity, New Jersey"},{"id":375117,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2019/1134/ofr20191134_plate03.pdf","text":"Plate 3","size":"1.20 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Map of the top of semiconfining subunits within the Kirkwood-Cohansey aquifer system, Joint Base McGuire-Dix-Lakehurst and vicinity, New Jersey"},{"id":375122,"rank":10,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2019/1134/ofr20191134_plate08.pdf","text":"Plate 8","size":"1.88 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Map of the bottom of the unconfined portion of the Vincentown aquifer, Joint Base McGuire-Dix-Lakehurst and vicinity, New Jersey"},{"id":375123,"rank":11,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2019/1134/ofr20191134_plate09.pdf","text":"Plate 9","size":"2.04 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Map of the bottom of the Navesink-Hornerstown confining unit, Joint Base McGuire-Dix-Lakehurst and vicinity, New Jersey"},{"id":375124,"rank":12,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2019/1134/ofr20191134_plate10.pdf","text":"Plate 10","size":"588 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Sections A-A’ through E-E’, Joint Base McGuire-Dix-Lakehurst and vicinity, New Jersey"},{"id":375127,"rank":15,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2019/1134/ofr20191134_table03.xlsx","text":"Table 3","size":"23.2 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Wells used to develop a hydrostratigraphic framework, and interpreted aquifer structure points, Joint Base McGuire-Dix-Lakehurst and vicinity, New Jersey (Preferred method to view file)"},{"id":375128,"rank":16,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2019/1134/ofr20191134_table03.csv","text":"Table 3","size":"10.2 KB","linkFileType":{"id":7,"text":"csv"},"linkHelpText":"- Wells used to develop a hydrostratigraphic framework, and interpreted aquifer structure points, Joint Base McGuire-Dix-Lakehurst and vicinity, New Jersey"},{"id":375118,"rank":6,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2019/1134/ofr20191134_plate04.pdf","text":"Plate 4","size":"1.48 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Map of the thickness of semiconfining subunits within the Kirkwood-Cohansey aquifer system, Joint Base McGuire-Dix-Lakehurst and vicinity, New Jersey"},{"id":375119,"rank":7,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2019/1134/ofr20191134_plate05.pdf","text":"Plate 5","size":"1.18 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Map of the top of the Piney Point aquifer, Joint Base McGuire-Dix-Lakehurst and vicinity, New Jersey"},{"id":375121,"rank":9,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2019/1134/ofr20191134_plate07.pdf","text":"Plate 7","size":"755 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Map of the thickness of the confined portion of the Vincentown aquifer, Joint Base McGuire-Dix-Lakehurst and vicinity, New Jersey"},{"id":375126,"rank":14,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2019/1134/ofr20191134_plate12.pdf","text":"Plate 12","size":"409 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Sections J-J’ through L-L’, Joint Base McGuire-Dix-Lakehurst and vicinity, New Jersey"}],"country":"United States","state":"New Jersey","otherGeospatial":"Joint Base McGuire-Dix-Lakehurst","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.74822998046875,\n 39.886557705928475\n ],\n [\n -74.25796508789062,\n 39.886557705928475\n ],\n [\n -74.25796508789062,\n 40.11799004890473\n ],\n [\n -74.74822998046875,\n 40.11799004890473\n ],\n [\n -74.74822998046875,\n 39.886557705928475\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, New Jersey Water Science Center
U.S. Geological Survey
3450 Princeton Pike, Suite 110
Lawrenceville, NJ 08648

","tableOfContents":"","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2020-05-29","noUsgsAuthors":false,"publicationDate":"2020-05-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Fiore, Alex R. 0000-0002-0986-5225 afiore@usgs.gov","orcid":"https://orcid.org/0000-0002-0986-5225","contributorId":4977,"corporation":false,"usgs":true,"family":"Fiore","given":"Alex","email":"afiore@usgs.gov","middleInitial":"R.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":789928,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70210709,"text":"70210709 - 2020 - Decadal-scale decoupling of soil phosphorus and molybdenum cycles by temperate nitrogen-fixing trees","interactions":[],"lastModifiedDate":"2020-08-05T13:43:50.442102","indexId":"70210709","displayToPublicDate":"2020-05-29T09:38:35","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Decadal-scale decoupling of soil phosphorus and molybdenum cycles by temperate nitrogen-fixing trees","docAbstract":"Symbiotic nitrogen- (N) fixing trees can influence multiple biogeochemical cycles by fixing atmospheric N, which drives net primary productivity and soil carbon (C) and N accumulation, as well as by mobilizing soil phosphorus (P) and other nutrients to support growth and metabolism. The soil micronutrient molybdenum (Mo) is essential to N-fixation, yet surprisingly little is known of whether N-fixing trees alter soil Mo cycling, and if changes to soil Mo are coupled to soil C, N, and P. We compared how symbiotic N-fixing red alder and non-N-fixing Douglas-fir trees modified surface soil C, N, P, and Mo across variation in climate and other site factors in the Pacific Northwest. We found that after two decades, N-fixing trees drove coupled increases in surface soil C, N, total P, and organic P. Consistent with contributions of N-fixing trees to soil organic matter, increased soil C and N were accompanied by lower δ13C in all sites, and lower δ15N in sites where non-fixer plots exhibited elevated soil δ15N. However, N-fixing trees did not affect surface soil Mo concentrations or fractions, suggesting that different factors control the cycling of P versus Mo over decadal timescales. Random forest analysis revealed that surface soil P was most strongly influenced by factors related to soil C accumulation, whereas surface soil Mo was related primarily to environmental factors, including potential differences in atmospheric Mo deposition across sites. Ratios of surface soil P:Mo were higher in extractable pools than in total soil digests, reinforcing the idea of stronger biotic cycling of P than Mo. Overall, our multi-site, multi-decadal field study found surprisingly small effects of N-fixing trees on soil Mo, despite rapid increases in soil organic C, N, and P. We hypothesize that, rather than direct effects of N-fixing vegetation, abiotic or indirect biotic factors such as soil sorption of atmospheric Mo inputs can link C–N–P–Mo cycles in terrestrial ecosystems on longer timescales.","language":"English","publisher":"Springer","doi":"10.1007/s10533-020-00680-9","usgsCitation":"Dynarski, K.A., Pett-Ridge, J.C., and Perakis, S.S., 2020, Decadal-scale decoupling of soil phosphorus and molybdenum cycles by temperate nitrogen-fixing trees: Biogeochemistry, v. 149, https://doi.org/10.1007/s10533-020-00680-9.","productDescription":"17 p.","startPage":"371","ipdsId":"IP-113936","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":375681,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States,","state":"British Columbia, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -128.14453125,\n 51.781435604431195\n ],\n [\n -129.111328125,\n 51.09662294502995\n ],\n [\n -129.111328125,\n 49.89463439573421\n ],\n [\n -125.9912109375,\n 47.724544549099676\n ],\n [\n -124.541015625,\n 46.28622391806706\n ],\n [\n -122.16796875,\n 45.79816953017265\n ],\n [\n -120.76171875,\n 47.368594345213374\n ],\n [\n -122.607421875,\n 50.12057809796008\n ],\n [\n -128.14453125,\n 51.781435604431195\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"149","edition":"355","noUsgsAuthors":false,"publicationDate":"2020-05-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Dynarski, Katherine A 0000-0001-5101-9666","orcid":"https://orcid.org/0000-0001-5101-9666","contributorId":225403,"corporation":false,"usgs":false,"family":"Dynarski","given":"Katherine","email":"","middleInitial":"A","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":791055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pett-Ridge, Julie C.","contributorId":172441,"corporation":false,"usgs":false,"family":"Pett-Ridge","given":"Julie","email":"","middleInitial":"C.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":791056,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perakis, Steven S. 0000-0003-0703-9314 sperakis@usgs.gov","orcid":"https://orcid.org/0000-0003-0703-9314","contributorId":145528,"corporation":false,"usgs":true,"family":"Perakis","given":"Steven","email":"sperakis@usgs.gov","middleInitial":"S.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":791057,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70254533,"text":"70254533 - 2020 - Identifying Precipitation and Reference Evapotranspiration Trends in West Africa to Support Drought Insurance","interactions":[],"lastModifiedDate":"2024-05-31T14:20:27.318122","indexId":"70254533","displayToPublicDate":"2020-05-29T09:15:04","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Identifying Precipitation and Reference Evapotranspiration Trends in West Africa to Support Drought Insurance","docAbstract":"

West Africa represents a wide gradient of climates, extending from tropical conditions along the Guinea Coast to the dry deserts of the south Sahara, and it has some of the lowest income, most vulnerable populations on the planet, which increases catastrophic impacts of low and high frequency climate variability. This paper investigates low and high frequency climate variability in West African monthly and seasonal precipitation and reference evapotranspiration from the early 1980s to 2016. We examine the impact of those trends and how they interact with payouts from index insurance products. Understanding low and high frequency variability in precipitation and reference evapotranspiration at these scales can provide insight into trends during periods critical to agricultural performance across the region. For index insurance, it is important to identify low-frequency variability, which can result in radical departures between designed/planned and actual insurance payouts, especially in the later part of a 30-year period, a common climate analysis period. We find that evaporative demand and precipitation are not perfect substitutes for monitoring crop deficits and that there may be space to use both for index insurance design. We also show that low yields—aligned with the need for insurance payouts—can be predicted using classification trees that include both precipitation and reference evapotranspiration.

","language":"English","publisher":"MDPI","doi":"10.3390/RS12152432","usgsCitation":"Blakeley, S., Sweeney, S., Husak, G., Harrison, L., Funk, C., Peterson, P., and Osgood, D.E., 2020, Identifying Precipitation and Reference Evapotranspiration Trends in West Africa to Support Drought Insurance: Remote Sensing, v. 12, no. 15, 2432, 29 p., https://doi.org/10.3390/RS12152432.","productDescription":"2432, 29 p.","ipdsId":"IP-120726","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":456609,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs12152432","text":"Publisher Index Page"},{"id":429401,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"West Africa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 20,\n 20\n ],\n [\n -18,\n 20\n ],\n [\n -18,\n 0\n ],\n [\n 20,\n 0\n ],\n [\n 20,\n 20\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"12","issue":"15","noUsgsAuthors":false,"publicationDate":"2020-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Blakeley, Sari","contributorId":337011,"corporation":false,"usgs":false,"family":"Blakeley","given":"Sari","email":"","affiliations":[{"id":80950,"text":"UCSB Climate Hazards Center","active":true,"usgs":false}],"preferred":false,"id":901759,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sweeney, Stuart","contributorId":337012,"corporation":false,"usgs":false,"family":"Sweeney","given":"Stuart","email":"","affiliations":[{"id":35298,"text":"UCSB Geography Department","active":true,"usgs":false}],"preferred":false,"id":901760,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Husak, Gregory","contributorId":145811,"corporation":false,"usgs":false,"family":"Husak","given":"Gregory","affiliations":[{"id":16236,"text":"UCSB Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":901761,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harrison, Laura","contributorId":192382,"corporation":false,"usgs":false,"family":"Harrison","given":"Laura","email":"","affiliations":[],"preferred":false,"id":901762,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Funk, Chris 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":167070,"corporation":false,"usgs":true,"family":"Funk","given":"Chris","email":"cfunk@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":901763,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peterson, Pete","contributorId":337013,"corporation":false,"usgs":false,"family":"Peterson","given":"Pete","affiliations":[{"id":80950,"text":"UCSB Climate Hazards Center","active":true,"usgs":false}],"preferred":false,"id":901764,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Osgood, Daniel E","contributorId":337014,"corporation":false,"usgs":false,"family":"Osgood","given":"Daniel","email":"","middleInitial":"E","affiliations":[{"id":80951,"text":"International Research Institute","active":true,"usgs":false}],"preferred":false,"id":901765,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70211652,"text":"70211652 - 2020 - Capture of environmental DNA (eDNA) from water samples by flocculation","interactions":[],"lastModifiedDate":"2020-08-06T18:55:23.121348","indexId":"70211652","displayToPublicDate":"2020-05-29T08:38:38","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5994,"text":"JOVE Journal Of Visualized Experiments","active":true,"publicationSubtype":{"id":10}},"title":"Capture of environmental DNA (eDNA) from water samples by flocculation","docAbstract":"

The analysis of environmental DNA (eDNA) has become a widely used approach to problem solving in species management. The detection of cryptic species including invasive and (or) species at risk is the goal, typically accomplished by testing water and sediment for the presence of characteristic DNA signatures. Reliable and efficient procedures for the capture of eDNA are required, especially those that can be performed easily in the field by personnel with limited training and citizen scientists. The capture of eDNA using membrane filtration is widely used currently. This approach has inherent issues that include the choice of filter material and porosity, filter fouling, and time required on site for the process to be performed. Flocculation offers an alternative that can be easily implemented and applied to sampling regimes that strive to cover broad territories in limited time.

","language":"English","publisher":"JOVE","doi":"10.3791/60967","usgsCitation":"Schill, W., 2020, Capture of environmental DNA (eDNA) from water samples by flocculation: JOVE Journal Of Visualized Experiments, v. 159, e60967, https://doi.org/10.3791/60967.","productDescription":"e60967","onlineOnly":"Y","ipdsId":"IP-117636","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":377079,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"159","noUsgsAuthors":false,"publicationDate":"2020-05-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Schill, W. Bane 0000-0002-9217-984X","orcid":"https://orcid.org/0000-0002-9217-984X","contributorId":213903,"corporation":false,"usgs":true,"family":"Schill","given":"W. Bane","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":794938,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70217614,"text":"70217614 - 2020 - Pervasive shifts in forest dynamics in a changing world","interactions":[],"lastModifiedDate":"2021-01-25T14:56:41.188464","indexId":"70217614","displayToPublicDate":"2020-05-29T08:26:21","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Pervasive shifts in forest dynamics in a changing world","docAbstract":"

Forest dynamics arise from the interplay of environmental drivers and disturbances with the demographic processes of recruitment, growth, and mortality, subsequently driving biomass and species composition. However, forest disturbances and subsequent recovery are shifting with global changes in climate and land use, altering these dynamics. Changes in environmental drivers, land use, and disturbance regimes are forcing forests toward younger, shorter stands. Rising carbon dioxide, acclimation, adaptation, and migration can influence these impacts. Recent developments in Earth system models support increasingly realistic simulations of vegetation dynamics. In parallel, emerging remote sensing datasets promise qualitatively new and more abundant data on the underlying processes and consequences for vegetation structure. When combined, these advances hold promise for improving the scientific understanding of changes in vegetation demographics and disturbances.

","language":"English","publisher":"AAAS","doi":"10.1126/science.aaz9463","usgsCitation":"McDowell, N.G., Allen, C.D., Anderson-Teixeira, K.J., Aukema, B.H., Bond-Lamberty, B., Chini, L., Clark, J.S., Dietze, M., Grossiord, C., Hanbury-Brown, A., Hurtt, G.C., Jackson, R.B., Johnson, D.J., Kueppers, L., Lichstein, J.W., Ogle, K., Poulter, B., Pugh, T.A., Seidl, R., Turner, M.G., Uriarte, M., Walker, A.P., and Xu, C., 2020, Pervasive shifts in forest dynamics in a changing world: Science, v. 368, no. 6494, eaaz9463, 12 p., https://doi.org/10.1126/science.aaz9463.","productDescription":"eaaz9463, 12 p.","ipdsId":"IP-109158","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":456613,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/1639166","text":"External Repository"},{"id":382541,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"368","issue":"6494","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McDowell, Nate G.","contributorId":207743,"corporation":false,"usgs":false,"family":"McDowell","given":"Nate","email":"","middleInitial":"G.","affiliations":[{"id":37622,"text":"Earth Systems Science Division, Pacific Northwest National Laboratory","active":true,"usgs":false}],"preferred":false,"id":808904,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science 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Nontuberculous mycobacteria (NTM) are environmental bacteria that may cause chronic lung disease. Environmental factors that favor NTM growth likely increase the risk of NTM exposure within specific environments. We aimed to identify water-quality constituents (Al, As, Cd, Ca, Cu, Fe, Pb, Mg, Mn, Mo, Ni, K, Se, Na, Zn, and pH) associated with NTM disease across Colorado watersheds. We conducted a geospatial, ecological study, associating data from patients with NTM disease treated at National Jewish Health and water-quality data from the Water Quality Portal. Water-quality constituents associated with disease risk were identified using generalized linear models with Poisson-distributed discrete responses. We observed a highly robust association between molybdenum (Mo) in the source water and disease risk. For every 1- unit increase in the log concentration of molybdenum in the source water, disease risk increased by 17.0%. We also observed a statistically significant association between calcium (Ca) in the source water and disease risk. The risk of NTM varied by watershed and was associated with watershed-specific water-quality constituents. These findings may inform mitigation strategies to decrease the overall risk of exposure.
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0000-0002-4803-5486","orcid":"https://orcid.org/0000-0002-4803-5486","contributorId":264903,"corporation":false,"usgs":false,"family":"Knox","given":"David","email":"","affiliations":[{"id":16144,"text":"University of Colorado-Boulder","active":true,"usgs":false}],"preferred":false,"id":822169,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Strong, Michael 0000-0002-3247-6260","orcid":"https://orcid.org/0000-0002-3247-6260","contributorId":264904,"corporation":false,"usgs":false,"family":"Strong","given":"Michael","email":"","affiliations":[{"id":36955,"text":"National Jewish Health","active":true,"usgs":false}],"preferred":false,"id":822170,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Prevots, D. 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The effects of extreme concentrations of toxic metalloids, such as arsenic (As) and antimony (Sb), on larval amphibians are not well-understood. We sampled Western Toad tadpoles (Anaxyrus boreas) living in As- and Sb-contaminated wetlands throughout their development. Although the tadpoles completed metamorphosis, they accumulated among the highest concentrations of As and Sb ever reported for a living vertebrate (3866.9 mg/kg; 315.0 mg/kg (dry weight), respectively). Ingestion of contaminated sediment had a more important role in metalloid accumulation than aqueous exposure alone. Metalloids were initially concentrated in the gut; however, by metamorphosis, the majority were found in other tissues. These concentrations subsequently decreased with the onset of metamorphosis, yet remained quite elevated. Sublethal effects, including delayed development and reduced size at metamorphosis, were associated with elevated metalloid exposure. The presence of organic arsenicals in tadpole tissues suggests they have the ability to biomethylate inorganic As compounds. The arsenical trimethyl arsine oxide accounted for the majority of extractable organic As, with lesser amounts of monomethylarsonic acid and dimethylarsinic acid. Our findings demonstrate remarkable tolerance of toad tadpoles to extreme metalloid exposure and implicate physiological processes mediating that tolerance.

","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.0c00558","usgsCitation":"Dovick, M.A., Kulp, T.R., Arkle, R.S., and Pilliod, D., 2020, Extreme arsenic and antimony uptake and tolerance in toad tadpoles during development in highly contaminated wetlands: Environmental Science and Technology, v. 54, no. 13, p. 7983-7991, https://doi.org/10.1021/acs.est.0c00558.","productDescription":"9 p.","startPage":"7983","endPage":"7991","ipdsId":"IP-083773","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":385053,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"13","noUsgsAuthors":false,"publicationDate":"2020-05-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Dovick, Meghan A.","contributorId":149255,"corporation":false,"usgs":false,"family":"Dovick","given":"Meghan","email":"","middleInitial":"A.","affiliations":[{"id":17689,"text":"Department of Geological Sciences and Environmental Studies, Binghamton University, SUNY","active":true,"usgs":false}],"preferred":false,"id":814122,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kulp, Thomas R","contributorId":257360,"corporation":false,"usgs":false,"family":"Kulp","given":"Thomas","email":"","middleInitial":"R","affiliations":[{"id":37769,"text":"Binghamton University","active":true,"usgs":false}],"preferred":false,"id":814123,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arkle, Robert S. 0000-0003-3021-1389","orcid":"https://orcid.org/0000-0003-3021-1389","contributorId":218006,"corporation":false,"usgs":true,"family":"Arkle","given":"Robert","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":814124,"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":814125,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70210275,"text":"ofr20201045 - 2020 - Observations of coastal change and numerical modeling of sediment-transport pathways at the mouth of the Columbia River and its adjacent littoral cell","interactions":[],"lastModifiedDate":"2020-05-29T14:39:52.652548","indexId":"ofr20201045","displayToPublicDate":"2020-05-29T06:26:20","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":"2020-1045","displayTitle":"Observations of Coastal Change and Numerical Modeling of Sediment-Transport Pathways at the Mouth of the Columbia River and its Adjacent Littoral Cell","title":"Observations of coastal change and numerical modeling of sediment-transport pathways at the mouth of the Columbia River and its adjacent littoral cell","docAbstract":"

Bathymetric and topographic surveys performed annually along the coastlines of northern Oregon and southwestern Washington documented changes in beach and nearshore morphology between 2014 and 2019. Volume change analysis revealed measurable localized erosion and deposition throughout the study area, but significant net erosion at the regional scale (several kilometers [km]) was limited to Benson Beach, Wash., a 3-km-long stretch of coastline immediately north of the Columbia River inlet. Despite the placement of approximately 6.3 million cubic meters (Mm3) of sand dredged from the Columbia River navigational channel at nearshore placement sites located nearby, Benson Beach eroded 2.1±0.8 Mm3 over the 5-year (yr) monitoring time period (420,000 cubic meters/year [m3/yr]). A hydrodynamic and sediment transport model was applied to simulate sediment transport fluxes, and a new visualization technique was developed to evaluate the linkages between nearshore dredge placement sites and adjacent coastlines near the mouth of the Columbia River. The model results indicate the dominance of wave processes on sediment-transport patterns outside of the inlet and suggest that the current configuration of the nearshore dredge placement sites can be improved to more efficiently enhance the sediment budget of Benson Beach to reduce erosion and mitigate associated coastal change hazards.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201045","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers Portland District and Northwest Association of Networked Ocean Observing Systems","usgsCitation":"Stevens, A.W., Elias, E., Pearson, S., Kaminsky, G.M., Ruggiero, P.R., Weiner, H.M., and Gelfenbaum, G.R., 2020, Observations of coastal change and numerical modeling of sediment-transport pathways at the mouth of the Columbia River and its adjacent littoral cell: U.S. Geological Survey Open-File Report 2020–1045, 82 p., https://doi.org//10.3133/ofr20201045.","productDescription":"Report: xii, 82 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-114630","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":375095,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1045/coverthb.jpg"},{"id":375096,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1045/ofr20201045.pdf","text":"Report","size":"18 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":375097,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org//10.5066/P9W15JX8","linkHelpText":"Beach topography and nearshore bathymetry of the Columbia River littoral cell, Washington and Oregon"}],"country":"United States","state":"Oregon, Washinton","otherGeospatial":"Columbia River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.07135009765625,\n 46.10180436619509\n ],\n [\n -123.57147216796875,\n 46.10180436619509\n ],\n [\n -123.57147216796875,\n 46.35261512930026\n ],\n [\n -124.07135009765625,\n 46.35261512930026\n ],\n [\n -124.07135009765625,\n 46.10180436619509\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Contact Information
Pacific Coastal & Marine Science Center
U.S. Geological Survey
Pacific Science Center
2885 Mission St.
Santa Cruz, CA 95060

","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2020-05-29","noUsgsAuthors":false,"publicationDate":"2020-05-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Stevens, Andrew W. 0000-0003-2334-129X astevens@usgs.gov","orcid":"https://orcid.org/0000-0003-2334-129X","contributorId":139313,"corporation":false,"usgs":true,"family":"Stevens","given":"Andrew","email":"astevens@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":789900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elias, Edwin","contributorId":50615,"corporation":false,"usgs":true,"family":"Elias","given":"Edwin","affiliations":[],"preferred":false,"id":789901,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pearson, Stuart","contributorId":193835,"corporation":false,"usgs":false,"family":"Pearson","given":"Stuart","affiliations":[],"preferred":false,"id":789902,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kaminsky, George M.","contributorId":83150,"corporation":false,"usgs":true,"family":"Kaminsky","given":"George","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":789903,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ruggiero, Peter R","contributorId":221035,"corporation":false,"usgs":false,"family":"Ruggiero","given":"Peter","email":"","middleInitial":"R","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":789904,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Weiner, Heather M.","contributorId":177392,"corporation":false,"usgs":false,"family":"Weiner","given":"Heather","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":789905,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gelfenbaum, Guy R. 0000-0003-1291-6107 ggelfenbaum@usgs.gov","orcid":"https://orcid.org/0000-0003-1291-6107","contributorId":742,"corporation":false,"usgs":true,"family":"Gelfenbaum","given":"Guy","email":"ggelfenbaum@usgs.gov","middleInitial":"R.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":789906,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70210274,"text":"ds1125 - 2020 - Methods of collection and quality assessment of arsenic data in well-water supplies in Maine, 2001–2 and 2006–7","interactions":[],"lastModifiedDate":"2020-05-29T13:14:55.079533","indexId":"ds1125","displayToPublicDate":"2020-05-28T11:30:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1125","displayTitle":"Methods of Collection and Quality Assessment of Arsenic Data in Well-Water Supplies in Maine, 2001–2 and 2006–7","title":"Methods of collection and quality assessment of arsenic data in well-water supplies in Maine, 2001–2 and 2006–7","docAbstract":"

The U.S. Geological Survey, in cooperation with the U.S. Centers for Disease Control and Prevention and the Maine Center for Disease Control and Prevention, assessed the chemical characteristics and the occurrence, distribution, and oxidation state of inorganic arsenic in drinking water from selected domestic well-water supplies in Maine in 2001–2 and 2006–7.

The data collected provide support for evaluating arsenic-removal efficiencies of household water-purification systems and provide information to State and local officials that can be used in determining a water-treatment approach for the removal of arsenic from drinking water.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1125","collaboration":"Prepared in cooperation with the U.S. Centers for Disease Control and Prevention and the Maine Center for Disease Control and Prevention","usgsCitation":"Culbertson, C.W., Caldwell, J.M., Schalk, L.F., Manassaram, D., Backer, L.C., and Smith, A.E., 2020, Methods of collection and quality assessment of arsenic data in well-water supplies in Maine, 2001–2 and 2006–7: U.S. Geological Survey Data Series 1125, 11 p., https://doi.org/10.3133/ds1125.","productDescription":"Report: v, 11 p.; Data Release","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-025715","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":375105,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1125/ds1125.pdf","text":"Report","size":"1.29 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1125"},{"id":375104,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9X5HVDF","text":"USGS data release","linkHelpText":"Arsenic datasets and other physical and chemical measurements for selected domestic well-water supplies in Maine—2001–2 and 2006–7"},{"id":375103,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1125/coverthb.jpg"}],"country":"United States","state":"Maine","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.16943359374999,\n 43.02071359427862\n ],\n [\n -66.15966796874999,\n 43.02071359427862\n ],\n [\n -66.15966796874999,\n 44.87144275016589\n ],\n [\n -71.16943359374999,\n 44.87144275016589\n ],\n [\n -71.16943359374999,\n 43.02071359427862\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2020-05-28","noUsgsAuthors":false,"publicationDate":"2020-05-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Culbertson, Charles W. 0000-0002-7875-7981 cculbert@usgs.gov","orcid":"https://orcid.org/0000-0002-7875-7981","contributorId":224986,"corporation":false,"usgs":true,"family":"Culbertson","given":"Charles W.","email":"cculbert@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":789885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell, James M. 0000-0001-5880-443X jmcald@usgs.gov","orcid":"https://orcid.org/0000-0001-5880-443X","contributorId":1882,"corporation":false,"usgs":true,"family":"Caldwell","given":"James","email":"jmcald@usgs.gov","middleInitial":"M.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":789907,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schalk, Luther 0000-0003-3957-1794 lschalk@usgs.gov","orcid":"https://orcid.org/0000-0003-3957-1794","contributorId":4366,"corporation":false,"usgs":true,"family":"Schalk","given":"Luther","email":"lschalk@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":789883,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Manassaram, Deana","contributorId":224988,"corporation":false,"usgs":false,"family":"Manassaram","given":"Deana","email":"","affiliations":[{"id":16974,"text":"US Centers for Disease Control and Prevention (CDC)","active":true,"usgs":false}],"preferred":true,"id":789910,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Backer, Lorraine C.","contributorId":198459,"corporation":false,"usgs":false,"family":"Backer","given":"Lorraine","email":"","middleInitial":"C.","affiliations":[{"id":16974,"text":"US Centers for Disease Control and Prevention (CDC)","active":true,"usgs":false}],"preferred":true,"id":789908,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Andrew E.","contributorId":224987,"corporation":false,"usgs":false,"family":"Smith","given":"Andrew","email":"","middleInitial":"E.","affiliations":[],"preferred":true,"id":789909,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70210273,"text":"gip198 - 2020 - Amphibian Research and Monitoring Initiative (ARMI) 20th anniversary postcard","interactions":[],"lastModifiedDate":"2020-05-28T14:10:50.314082","indexId":"gip198","displayToPublicDate":"2020-05-28T10:20:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"198","displayTitle":"Amphibian Research and Monitoring Initiative (ARMI) 20th Anniversary Postcard","title":"Amphibian Research and Monitoring Initiative (ARMI) 20th anniversary postcard","docAbstract":"

The Amphibian Research and Monitoring Initiative (ARMI) was established within the U.S. Geological Survey in 2000 as a result of Congressional funding for Department of the Interior agencies to study amphibians and provide information to help manage amphibians and address threats. As the research arm of the Department of the Interior, the U.S. Geological Survey is providing scientific leadership for this effort with a team of research scientists who are global leaders in amphibian conservation science. This postcard has been developed to commemorate the 20th anniversary of ARMI.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip198","usgsCitation":"Ball, L.C., 2020, Amphibian Research and Monitoring Initiative (ARMI) 20th anniversary postcard: U.S. Geological Survey General Information Product 198, 2 p., https://doi.org/10.3133/gip198.","productDescription":"Postcard; 2 p.","numberOfPages":"2","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-118795","costCenters":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":375099,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/198/gip198.pdf","text":"Report","size":"922 KB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 198"},{"id":375098,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/198/coverthb2.jpg"}],"contact":"

Environments Program
Office of the Associate Director for Ecosystems
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192
Amphibian Research and Monitoring Initiative (ARMI)

Contact Pubs Warehouse

","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2020-05-28","noUsgsAuthors":false,"publicationDate":"2020-05-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Ball, Lianne C. 0000-0001-9331-0718 lball@usgs.gov","orcid":"https://orcid.org/0000-0001-9331-0718","contributorId":4274,"corporation":false,"usgs":true,"family":"Ball","given":"Lianne","email":"lball@usgs.gov","middleInitial":"C.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":789881,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70228511,"text":"70228511 - 2020 - Immigration does not offset harvest mortality in groups of a cooperatively breeding carnivore","interactions":[],"lastModifiedDate":"2022-02-11T13:26:20.43542","indexId":"70228511","displayToPublicDate":"2020-05-28T07:20:29","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":774,"text":"Animal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Immigration does not offset harvest mortality in groups of a cooperatively breeding carnivore","docAbstract":"

The effects of harvest on cooperatively breeding species are often more complex than simply subtracting the number of animals that died from the group count. Changes in demographic rates, particularly dispersal, could offset some effects of harvest mortality in groups but this is rarely explored with cooperative breeders. We asked whether a cooperatively breeding species known for long-distance dispersal could compensate for the effect of harvest mortality on density by adopting immigrants into the group. We used genetic samples to estimate the minimum density of gray wolves (Canis lupus) and proportion of immigrants in groups in the northern US Rocky Mountains after an annual harvest regime was initiated and in the Canadian Rocky Mountains where wolves were managed consistently under an annual harvest regime. We tested whether immigration (1) compensated, (2) partially compensated or (3) did not compensate numerically for harvest mortality in groups and hypothesized immigration would increase with increasing harvest intensity. Density of wolves in groups declined after harvest was initiated whereas immigration into groups was consistently low and did not change with harvest in the US study area. Immigration into groups was similarly low and density even lower in the Canadian study area compared to the US study area. Our results indicate immigration did not compensate for harvest mortality in groups in two separate populations of a cooperatively breeding carnivore. We hypothesize the social structure of wolf groups may limit the potentially compensatory response of immigration in some populations.

","language":"English","publisher":"Wiley","doi":"10.1111/acv.12593","usgsCitation":"Bassing, S., Ausband, D.E., Mitchell, M.S., Schwartz, M.K., Nowak, J., Hale, G., and Waits, L.P., 2020, Immigration does not offset harvest mortality in groups of a cooperatively breeding carnivore: Animal Conservation, v. 23, no. 6, p. 750-761, https://doi.org/10.1111/acv.12593.","productDescription":"12 p.","startPage":"750","endPage":"761","ipdsId":"IP-117321","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395842,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"6","noUsgsAuthors":false,"publicationDate":"2020-05-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Bassing, S. B.","contributorId":276010,"corporation":false,"usgs":false,"family":"Bassing","given":"S. B.","affiliations":[{"id":50219,"text":"um","active":true,"usgs":false}],"preferred":false,"id":834469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ausband, David Edward 0000-0001-9204-9837","orcid":"https://orcid.org/0000-0001-9204-9837","contributorId":275329,"corporation":false,"usgs":true,"family":"Ausband","given":"David","email":"","middleInitial":"Edward","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":834470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mitchell, Michael S. 0000-0002-0773-6905 mmitchel@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-6905","contributorId":3716,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"mmitchel@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":834468,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schwartz, M. K.","contributorId":276011,"corporation":false,"usgs":false,"family":"Schwartz","given":"M.","email":"","middleInitial":"K.","affiliations":[{"id":56917,"text":"ufs","active":true,"usgs":false}],"preferred":false,"id":834471,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nowak, J. J.","contributorId":276012,"corporation":false,"usgs":false,"family":"Nowak","given":"J. J.","affiliations":[{"id":50219,"text":"um","active":true,"usgs":false}],"preferred":false,"id":834472,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hale, G.","contributorId":276013,"corporation":false,"usgs":false,"family":"Hale","given":"G.","email":"","affiliations":[{"id":48624,"text":"AEP","active":true,"usgs":false}],"preferred":false,"id":834473,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Waits, L. P.","contributorId":276014,"corporation":false,"usgs":false,"family":"Waits","given":"L.","email":"","middleInitial":"P.","affiliations":[{"id":39599,"text":"ui","active":true,"usgs":false}],"preferred":false,"id":834474,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70211682,"text":"70211682 - 2020 - Between the supercontinents: Mesoproterozoic Deer Trail Group, an intermediate age unit between the Mesoproterozoic Belt–Purcell Supergroup and the Neoproterozoic Windermere Supergroup in northeastern Washington, USA","interactions":[],"lastModifiedDate":"2020-12-29T21:24:38.461894","indexId":"70211682","displayToPublicDate":"2020-05-27T17:47:51","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1168,"text":"Canadian Journal of Earth Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Between the supercontinents: Mesoproterozoic Deer Trail Group, an intermediate age unit between the Mesoproterozoic Belt–Purcell Supergroup and the Neoproterozoic Windermere Supergroup in northeastern Washington, USA","docAbstract":"

Mesoproterozoic and Neoproterozoic basins in western North America record the evolving position of the Laurentian craton within two supercontinents during their growth and dismemberment: Columbia (Nuna) and Rodinia. The western-most exposures of the Columbia rift-related Belt–Purcell Supergroup are preserved in northeastern Washington, structurally overlain by the Deer Trail Group and depositionally overlying the Neoproterozoic Windermere Supergroup. It has been disputed whether the Deer Trail Group is correlative with the Belt–Purcell Supergroup, or younger. To help resolve the uncertain correlation of these units and their bearing on supercontinent evolution, we characterized the detrital zircon age populations of units from the Deer Trail Group, the Windermere Supergroup, and the Belt–Purcell Supergroup in northeastern Washington. These data show that the western part of the Columbia supercontinent (now located in Australia and eastern Antarctica) remained attached to western Laurentia and continued to supply 1600–1500 Ma detrital zircon grains to the Belt–Purcell Supergroup until after ca. 1391 Ma. The Deer Trail Group is younger than the Belt–Purcell strata, with the basal unit younger than ca. 1362 Ma and a middle unit younger than ca. 1300 Ma. The Deer Trail Group has a pre-Grenville-age provenance from the southwestern USA and possibly east Antarctica. The Buffalo Hump Formation is younger than the Deer Trail Group, with Grenville-age (ca. 1112 Ma) detrital zircon grains and a detrital zircon signature like that of the overlying Neoproterozoic Windermere Supergroup. We interpret the Deer Trail Group to have been deposited during the rift-demise of supercontinent Columbia and before the Grenville-age assembly of the supercontinent Rodinia.

","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjes-2019-0188","usgsCitation":"Box, S.E., Pritchard, C.J., Stephens, T.S., and O’Sullivan, P.B., 2020, Between the supercontinents: Mesoproterozoic Deer Trail Group, an intermediate age unit between the Mesoproterozoic Belt–Purcell Supergroup and the Neoproterozoic Windermere Supergroup in northeastern Washington, USA: Canadian Journal of Earth Sciences, v. 57, no. 12, p. 1411-1427, https://doi.org/10.1139/cjes-2019-0188.","productDescription":"17 p.","startPage":"1411","endPage":"1427","ipdsId":"IP-112626","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":500791,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/101706","text":"External Repository"},{"id":377140,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","city":"Chewelah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.81188964843751,\n 47.89056441663247\n ],\n [\n -117.04833984375001,\n 47.89056441663247\n ],\n [\n -117.04833984375001,\n 48.669198799260045\n ],\n [\n -117.81188964843751,\n 48.669198799260045\n ],\n [\n -117.81188964843751,\n 47.89056441663247\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"57","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Box, Stephen E. 0000-0002-5268-8375 sbox@usgs.gov","orcid":"https://orcid.org/0000-0002-5268-8375","contributorId":1843,"corporation":false,"usgs":true,"family":"Box","given":"Stephen","email":"sbox@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":795048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pritchard, Chad J. 0000-0002-4608-7776","orcid":"https://orcid.org/0000-0002-4608-7776","contributorId":237042,"corporation":false,"usgs":false,"family":"Pritchard","given":"Chad","email":"","middleInitial":"J.","affiliations":[{"id":47590,"text":"Eastern Washington University, Dept. of Geology","active":true,"usgs":false}],"preferred":false,"id":795049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stephens, Travis S.","contributorId":237044,"corporation":false,"usgs":false,"family":"Stephens","given":"Travis","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":795050,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Sullivan, Paul B.","contributorId":193544,"corporation":false,"usgs":false,"family":"O’Sullivan","given":"Paul","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":795051,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70211973,"text":"70211973 - 2020 - Deglacierization of a marginal basin and implications for outburst floods, Mendenhall Glacier, Alaska","interactions":[],"lastModifiedDate":"2020-08-12T21:56:14.477434","indexId":"70211973","displayToPublicDate":"2020-05-27T16:44:19","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":"Deglacierization of a marginal basin and implications for outburst floods, Mendenhall Glacier, Alaska","docAbstract":"

Suicide Basin is a partly glacierized marginal basin of Mendenhall Glacier, Alaska, that has released glacier lake outburst floods (GLOFs) annually since 2011. The floods cause inundation and erosion in the Mendenhall Valley, impacting homes and other infrastructure. Here, we utilize in-situ and remote sensing data to assess the recent evolution and current state of Suicide Basin. We focus on the 2018 and 2019 melt seasons, during which we collected most of our data, partly using unmanned aerial vehicles (UAVs). To provide longer-term context, we analyze DEMs collected since 2006 and model glacier surface mass balance over the 2006–2019 period. During the 2018 and 2019 outburst flood events, Suicide Basin released ~30 × 106 m3 of water within approximately 4–5 days. Since lake drainage was partial in both years, these ~30 × 106 m3 represent only a fraction (~60%) of the basin's total storage capacity. In contrast to previous years, subglacial drainage was preceded by supraglacial outflow over the ice dam, which lasted ~1 day in 2018 and 6 days in 2019. Two large calving events occurred in 2018 and 2019, with submerged ice breaking off the main glacier during lake filling, thereby increasing the basin's storage capacity. In 2018, the floating ice in the basin was 36 m thick on average. In 2019, ice thickness was 29 m, suggesting rapid decay of the ice tongue despite increasing ice inflow from Mendenhall Glacier. The ice dam at the basin entrance thinned by more than 5 m a–1 from 2018 to 2019, which is approximately double the rate of the reference period 2006–2018. While ice-dam thinning reduces water storage capacity in the basin, that capacity is increased by declining ice volume in the basin and longitudinal lake expansion, with the latter process challenging to predict. The potential for premature drainage onset (i.e., drainage before the lake's storage capacity is reached), intermittent drainage decelerations, and early drainage termination further complicates prediction of future GLOF events.

","language":"English","publisher":"Frontiers Media","doi":"10.3389/feart.2020.00137","usgsCitation":"Kienholz, C., Pierce, J., Hood, E., Amundson, J.M., Wolken, G., Jacobs, A., Hart, S., Wikstrom-Jones, K., Abdel-Fattah, D., Johnson, C., and Conaway, J.S., 2020, Deglacierization of a marginal basin and implications for outburst floods, Mendenhall Glacier, Alaska: Frontiers in Earth Science, v. 8, 137, 21 p., https://doi.org/10.3389/feart.2020.00137.","productDescription":"137, 21 p.","ipdsId":"IP-114163","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":456622,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2020.00137","text":"Publisher Index Page"},{"id":377453,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Mendenhall Glacier, Suicide Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -134.78164672851562,\n 58.32679897129091\n ],\n [\n -134.06890869140625,\n 58.32679897129091\n ],\n [\n -134.06890869140625,\n 58.73186643857013\n ],\n [\n -134.78164672851562,\n 58.73186643857013\n ],\n [\n -134.78164672851562,\n 58.32679897129091\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","noUsgsAuthors":false,"publicationDate":"2020-05-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Kienholz, Christian","contributorId":220416,"corporation":false,"usgs":false,"family":"Kienholz","given":"Christian","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":796031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pierce, Jamie","contributorId":218174,"corporation":false,"usgs":true,"family":"Pierce","given":"Jamie","email":"","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":796032,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hood, Eran","contributorId":106802,"corporation":false,"usgs":false,"family":"Hood","given":"Eran","affiliations":[],"preferred":false,"id":796033,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Amundson, Jason M.","contributorId":26944,"corporation":false,"usgs":true,"family":"Amundson","given":"Jason","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":796034,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wolken, Gabriel","contributorId":204863,"corporation":false,"usgs":false,"family":"Wolken","given":"Gabriel","affiliations":[{"id":37000,"text":"DGGS","active":true,"usgs":false}],"preferred":false,"id":796035,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jacobs, Aaron","contributorId":204855,"corporation":false,"usgs":false,"family":"Jacobs","given":"Aaron","email":"","affiliations":[{"id":36995,"text":"NWS","active":true,"usgs":false}],"preferred":false,"id":796036,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hart, Skye","contributorId":238101,"corporation":false,"usgs":false,"family":"Hart","given":"Skye","email":"","affiliations":[],"preferred":false,"id":796037,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wikstrom-Jones, Katreen","contributorId":238102,"corporation":false,"usgs":false,"family":"Wikstrom-Jones","given":"Katreen","email":"","affiliations":[],"preferred":false,"id":796038,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Abdel-Fattah, Dina","contributorId":238103,"corporation":false,"usgs":false,"family":"Abdel-Fattah","given":"Dina","email":"","affiliations":[],"preferred":false,"id":796039,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Johnson, Crane","contributorId":238104,"corporation":false,"usgs":false,"family":"Johnson","given":"Crane","email":"","affiliations":[],"preferred":false,"id":796040,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Conaway, Jeffrey S. 0000-0002-3036-592X jconaway@usgs.gov","orcid":"https://orcid.org/0000-0002-3036-592X","contributorId":2026,"corporation":false,"usgs":true,"family":"Conaway","given":"Jeffrey","email":"jconaway@usgs.gov","middleInitial":"S.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":796041,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70211524,"text":"70211524 - 2020 - Rethinking foundation species in a changing world: The case for Rhododendron maximum as an emerging foundation species in shifting ecosystems of the southern Appalachians","interactions":[],"lastModifiedDate":"2020-07-31T13:15:51.186703","indexId":"70211524","displayToPublicDate":"2020-05-27T12:00:02","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Rethinking foundation species in a changing world: The case for Rhododendron maximum as an emerging foundation species in shifting ecosystems of the southern Appalachians","title":"Rethinking foundation species in a changing world: The case for Rhododendron maximum as an emerging foundation species in shifting ecosystems of the southern Appalachians","docAbstract":"

“Foundation species” are widespread, abundant species that play critical roles in structuring ecosystem characteristics and processes. Ecosystem change in response to human activities, climate change, disease introduction, or other environmental conditions may promote the emergence of new foundation species or the decline of previously important foundation species. We present rhododendron (Rhododendron maximum) as an example of an emerging foundation species in riparian forest and headwater stream ecosystems of the southern Appalachian Mountains and use its example to propose a dynamic approach to recognizing foundation species. As other species have declined, rhododendron has increased in abundance, biomass, and ecosystem importance, and now dominates the riparian zones and mesic uplands of much of the region. Rhododendron structures, stabilizes, and modulates functions within both terrestrial and aquatic ecosystems. Studies of forest ecosystem response to environmental conditions indicate that rhododendron may increase the resistance and resilience of its associated ecosystems to predicted anthropogenic stress, including climate change, nitrogen enrichment, and invasive species. A more dynamic conception of foundation species as dependent on ecosystem states will help ecologists to focus on ecosystem processes and services, rather than on historically dominant species, for restoration strategies.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2020.118240","usgsCitation":"Dudley, M.P., Freeman, M., Wenger, S., Jackson, C.R., and Pringle, C.M., 2020, Rethinking foundation species in a changing world: The case for Rhododendron maximum as an emerging foundation species in shifting ecosystems of the southern Appalachians: Forest Ecology and Management, v. 472, 118240, 9 p., https://doi.org/10.1016/j.foreco.2020.118240.","productDescription":"118240, 9 p.","ipdsId":"IP-116677","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":456625,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2020.118240","text":"Publisher Index Page"},{"id":376915,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Georgia, North Carolina, South Carolina, Tennessee, Virginia, West Virginia","otherGeospatial":"southern Applachian forests","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.837646484375,\n 36.89719446989036\n ],\n [\n -81.6064453125,\n 37.56199695314352\n ],\n [\n -85.60546875,\n 35.32633026307483\n ],\n [\n -86.59423828125,\n 33.054716488042736\n ],\n [\n -85.286865234375,\n 32.95336814579932\n ],\n [\n -79.837646484375,\n 36.89719446989036\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"472","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dudley, Maura P. 0000-0001-9574-8844","orcid":"https://orcid.org/0000-0001-9574-8844","contributorId":236862,"corporation":false,"usgs":false,"family":"Dudley","given":"Maura","email":"","middleInitial":"P.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":794501,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeman, Mary 0000-0001-7615-6923 mcfreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":3528,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"mcfreeman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":794502,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wenger, Seth J.","contributorId":177838,"corporation":false,"usgs":false,"family":"Wenger","given":"Seth J.","affiliations":[],"preferred":false,"id":794503,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jackson, C. Rhett","contributorId":236863,"corporation":false,"usgs":false,"family":"Jackson","given":"C.","email":"","middleInitial":"Rhett","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":794504,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pringle, Catherine M.","contributorId":176292,"corporation":false,"usgs":false,"family":"Pringle","given":"Catherine","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":794505,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70260155,"text":"70260155 - 2020 - Capturing, preserving and digitizing legacy seismic data from the Montserrat Volcano Observatory analog seismic network, July 1995 – December 2004","interactions":[],"lastModifiedDate":"2024-10-30T22:19:06.067897","indexId":"70260155","displayToPublicDate":"2020-05-27T11:18:03","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Capturing, preserving and digitizing legacy seismic data from the Montserrat Volcano Observatory analog seismic network, July 1995 – December 2004","docAbstract":"

An eruption of the Soufrière Hills Volcano (SHV) on the eastern Caribbean island of Montserrat began on 18 July 1995 and continued until February 2010. Within nine days of the eruption onset, an existing four‐station analog seismic network (ASN) was expanded to 10 sites. Telemetered data from this network were recorded, processed, and archived locally using a system developed by scientists from the U.S. Geological Survey (USGS) Volcano Disaster Assistance Program (VDAP). In October 1996, a digital seismic network (DSN) was deployed with the ability to capture larger amplitude signals across a broader frequency range. These two networks operated in parallel until December 2004, with separate telemetry and acquisition systems (analysis systems were merged in March 2001). Although the DSN provided better quality data for research, the ASN featured superior real‐time monitoring tools and captured valuable data including the only seismic data from the first 15 months of the eruption. These successes of the ASN have been rather overlooked. This article documents the evolution of the ASN, the VDAP system, the original data captured, and the recovery and conversion of more than 230,000 seismic events from legacy SUDS, Hypo71, and Seislog formats into Seisan database with waveform data in miniSEED format. No digital catalog existed for these events, but students at the University of South Florida have classified two-thirds of the 40,000 events that were captured between July 1995 and October 1996. Locations and magnitudes were recovered for ~10,000 of these events. Real-time seismic amplitude measurement, seismic spectral amplitude measurement, and tiltmeter data were also captured. The result is that the ASN seismic dataset is now more discoverable, accessible, and reusable, in accordance with FAIR data principles. These efforts could catalyze new research on the 1995–2010 SHV eruption. Furthermore, many observatories have data in these same legacy data formats and might benefit from procedures and codes documented here.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220200012","usgsCitation":"Thompson, G., Power, J., Braunmiller, J., Lockhart, A., Lynch, L., McCausland, W., Rowe, C., Shea, T., White, R., and Breithaupt, C., 2020, Capturing, preserving and digitizing legacy seismic data from the Montserrat Volcano Observatory analog seismic network, July 1995 – December 2004: Seismological Research Letters, v. 91, no. 4, p. 2127-2140, https://doi.org/10.1785/0220200012.","productDescription":"14 p.","startPage":"2127","endPage":"2140","ipdsId":"IP-115441","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":463354,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Monserrat","otherGeospatial":"Soufrière Hills Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -62.20648979760041,\n 16.723228121283853\n ],\n [\n -62.20648979760041,\n 16.684378490612588\n ],\n [\n -62.15099565340141,\n 16.684378490612588\n ],\n [\n -62.15099565340141,\n 16.723228121283853\n ],\n [\n -62.20648979760041,\n 16.723228121283853\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"91","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-05-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Thompson, Glenn","contributorId":345675,"corporation":false,"usgs":false,"family":"Thompson","given":"Glenn","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":917233,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Power, John 0000-0002-7233-4398","orcid":"https://orcid.org/0000-0002-7233-4398","contributorId":215240,"corporation":false,"usgs":true,"family":"Power","given":"John","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917234,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Braunmiller, Jochen","contributorId":345676,"corporation":false,"usgs":false,"family":"Braunmiller","given":"Jochen","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":917235,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lockhart, Andrew 0000-0002-1591-3254 ablock@usgs.gov","orcid":"https://orcid.org/0000-0002-1591-3254","contributorId":204748,"corporation":false,"usgs":true,"family":"Lockhart","given":"Andrew","email":"ablock@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917236,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lynch, Lloyd","contributorId":345677,"corporation":false,"usgs":false,"family":"Lynch","given":"Lloyd","affiliations":[{"id":82692,"text":"Seismic Research Unit","active":true,"usgs":false}],"preferred":false,"id":917237,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCausland, Wendy 0000-0002-8683-1440","orcid":"https://orcid.org/0000-0002-8683-1440","contributorId":345678,"corporation":false,"usgs":true,"family":"McCausland","given":"Wendy","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917238,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rowe, Charlotte","contributorId":345679,"corporation":false,"usgs":false,"family":"Rowe","given":"Charlotte","email":"","affiliations":[{"id":82693,"text":"Los Alamos National Labs","active":true,"usgs":false}],"preferred":false,"id":917239,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shea, Thomas","contributorId":345680,"corporation":false,"usgs":false,"family":"Shea","given":"Thomas","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":917240,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"White, Randall A. 0000-0003-4074-8577","orcid":"https://orcid.org/0000-0003-4074-8577","contributorId":344964,"corporation":false,"usgs":false,"family":"White","given":"Randall A.","affiliations":[{"id":82444,"text":"none, retired USGS","active":true,"usgs":false}],"preferred":false,"id":917241,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Breithaupt, Charles","contributorId":345681,"corporation":false,"usgs":false,"family":"Breithaupt","given":"Charles","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":917242,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70210593,"text":"70210593 - 2020 - When source and path components trade off in ground-motion prediction equations","interactions":[],"lastModifiedDate":"2020-07-10T12:39:00.623841","indexId":"70210593","displayToPublicDate":"2020-05-27T11:10:39","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"When source and path components trade off in ground-motion prediction equations","docAbstract":"

Current research on ground‐motion models (also known as ground‐motion prediction equations [GMPEs]) and their uncertainties focus on the separate contributions of source, path, and site to both median values and their variability. Implicit here is the assumption that the event term, path term, and site term reflect only properties of the source, path, and site, respectively. Events with larger stress drop generate more high‐frequency energy, and thus more ground motion. Therefore, the correlation of high‐frequency (i.e., peak ground acceleration [PGA] or peak ground velocity [PGV]) event terms in GMPEs with stress drop is taken to be genuine. However, PGA and PGV ground‐motion observations of the 2014 M\">M 6.0 South Napa, California, earthquake clearly violate these assumptions. For this earthquake, high‐frequency ground‐motion residuals of recorded ground motion with respect to Next Generation Attenuation‐West2 Project (NGA‐West2) ground‐motion models show a dependence on distance, biasing the calculation of the event term by incorrectly mapping a regional attenuation effect into it. We examine the trade‐off between source and path effects for the South Napa earthquake and a well‐recorded California subset of the NGA‐West2 data. We fit near‐source (i.e., within 20 or 50 km) event terms and remaining differential geometrical spreading and anelastic attenuation terms in comparison to a simultaneous inversion for the source and path terms. This South Napa instance highlights one situation for which the high‐frequency event term can be interpreted as relative stress drop only when the distance dependence of the ground motions does not bias the residuals.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220190379","usgsCitation":"Baltay Sundstrom, A.S., Abrahams, L.S., and Hanks, T.C., 2020, When source and path components trade off in ground-motion prediction equations: Seismological Research Letters, v. 91, no. 4, p. 2259-2267, https://doi.org/10.1785/0220190379.","productDescription":"9 p.","startPage":"2259","endPage":"2267","ipdsId":"IP-106446","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":375520,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"South Napa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.35336303710938,\n 38.17235306715556\n ],\n [\n -122.23526000976561,\n 38.17235306715556\n ],\n [\n -122.23526000976561,\n 38.33411604971082\n ],\n [\n -122.35336303710938,\n 38.33411604971082\n ],\n [\n -122.35336303710938,\n 38.17235306715556\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"91","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-05-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Baltay, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":790731,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abrahams, Lauren S.","contributorId":225198,"corporation":false,"usgs":false,"family":"Abrahams","given":"Lauren","email":"","middleInitial":"S.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":790732,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanks, Thomas C. 0000-0003-0928-0056 thanks@usgs.gov","orcid":"https://orcid.org/0000-0003-0928-0056","contributorId":3065,"corporation":false,"usgs":true,"family":"Hanks","given":"Thomas","email":"thanks@usgs.gov","middleInitial":"C.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":790733,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70228243,"text":"70228243 - 2020 - Modeling larval American Shad recruitment in a large river","interactions":[],"lastModifiedDate":"2022-02-08T17:40:51.860634","indexId":"70228243","displayToPublicDate":"2020-05-27T11:01:54","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Modeling larval American Shad recruitment in a large river","docAbstract":"

Climate change is altering the spatial and temporal patterns of temperature and discharge in rivers, which is expected to have implications for the life stages of anadromous fish using those rivers. We developed an individual-based model to track American Shad Alosa sapidissima offspring within a coarse template of spatially and temporally variable habitat conditions defined by a combination of temperature, river velocity, and prey availability models. We simulated spawning at each river kilometer along a 142-km reach of the Connecticut River on each day (April 1–August 31) to understand how spawning date and location drive larval recruitment differentially across years and decades (1993–2002 and 2007–2016). For both temperature and flow, interannual variation was large in comparison to interdecadal differences. Variation in simulated recruitment was best explained by a combination of season-specific spawning temperature and location along the course of the river. The greatest potential recruitment occurred during years in which June temperatures were relatively high. In years when June and July were warmer than average, maximum recruitment resulted from spawning taking place at the upstream portion of the modeled reach. Model scenarios (stationary or passive-drift larvae; and dams or no dams) had predictable effects. We assumed that the pools above dams had negative impacts on eggs and yolk-sac larvae that may have been deposited there. Allowing eggs and larvae to drift passively with the current reduced spatial differences in recruitment success among spawning sites relative to stationary eggs and larvae. Our results demonstrate the importance of spatiotemporal environmental heterogeneity for producing positive recruitment over the long term. In addition, our results suggest the importance of successful passage of spawners to historical spawning sites in the Connecticut River upstream of Vernon Dam, especially as conditions shift with climate change.

","language":"English","publisher":"Wiley","doi":"10.1002/nafm.10460","usgsCitation":"Marschall, E.A., Glover, D., Mather, M.E., and Parrish, D.L., 2020, Modeling larval American Shad recruitment in a large river: North American Journal of Fisheries Management, v. 41, no. 4, p. 939-954, https://doi.org/10.1002/nafm.10460.","productDescription":"16 p.","startPage":"939","endPage":"954","ipdsId":"IP-109474","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":456629,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10460","text":"Publisher Index Page"},{"id":395637,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Hampshite, Massachutsetts","otherGeospatial":"Connecticut River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.81463623046875,\n 42.18375873465217\n ],\n [\n -72.13348388671875,\n 42.18375873465217\n ],\n [\n -72.13348388671875,\n 43.12504316740127\n ],\n [\n -72.81463623046875,\n 43.12504316740127\n ],\n [\n -72.81463623046875,\n 42.18375873465217\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-05-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Marschall, Elizabeth A.","contributorId":274924,"corporation":false,"usgs":false,"family":"Marschall","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":833512,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glover, David C.","contributorId":274925,"corporation":false,"usgs":false,"family":"Glover","given":"David C.","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":833513,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mather, Martha E. 0000-0003-3027-0215 mather@usgs.gov","orcid":"https://orcid.org/0000-0003-3027-0215","contributorId":2580,"corporation":false,"usgs":true,"family":"Mather","given":"Martha","email":"mather@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":833514,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parrish, Donna L. 0000-0001-9693-6329 dparrish@usgs.gov","orcid":"https://orcid.org/0000-0001-9693-6329","contributorId":138661,"corporation":false,"usgs":true,"family":"Parrish","given":"Donna","email":"dparrish@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":833511,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70222338,"text":"70222338 - 2020 - Challenges in quantifying air-water carbon dioxide flux using estuarine water quality data: Case study for Chesapeake Bay","interactions":[],"lastModifiedDate":"2021-07-22T15:12:18.885038","indexId":"70222338","displayToPublicDate":"2020-05-27T10:10:47","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7159,"text":"JGR Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Challenges in quantifying air-water carbon dioxide flux using estuarine water quality data: Case study for Chesapeake Bay","docAbstract":"

Estuaries play an uncertain but potentially important role in the global carbon cycle via CO2 outgassing. The uncertainty mainly stems from the paucity of studies that document the full spatial and temporal variability of estuarine surface water partial pressure of carbon dioxide ( pCO2). Here, we explore the potential of utilizing the abundance of pH data from historical water quality monitoring programs to fill the data void via a case study of the mainstem Chesapeake Bay (eastern United States). We calculate pCO2 and the air-water CO2 flux at monthly resolution from 1998 to 2018 from tidal fresh to polyhaline waters, paying special attention to the error estimation. The biggest error is due to the pH measurement error, and errors due to the gas transfer velocity, temporal sampling, the alkalinity mixing model, and the organic alkalinity estimation are 72%, 27%, 15%, and 5%, respectively, of the error due to pH. Seasonal, interannual, and spatial variability in the air-water flux and surface pCO2 is high, and a correlation analysis with oxygen reveals that this variability is driven largely by biological processes. Averaged over 1998–2018, the mainstem bay is a weak net source of CO2 to the atmosphere of 1.2 (1.1, 1.4) mol m−2 yr−1 (best estimate and 95% confidence interval). Our findings suggest that the abundance of historical pH measurements in estuaries around the globe should be mined in order to constrain the large spatial and temporal variability of the CO2 exchange between estuaries and the atmosphere.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019JC015610","usgsCitation":"Herrmann, M., Najjar, R.G., Da, F., Friedman, J.R., Friedrichs, M.A., Goldberger, S., Menendez, A., Shadwick, E.H., Stets, E.G., and St-Laurent, P., 2020, Challenges in quantifying air-water carbon dioxide flux using estuarine water quality data: Case study for Chesapeake Bay: JGR Oceans, v. 125, no. 7, e2019JC015610, 19 p., https://doi.org/10.1029/2019JC015610.","productDescription":"e2019JC015610, 19 p.","ipdsId":"IP-119043","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":456632,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2019jc015610","text":"External Repository"},{"id":387386,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.11328125,\n 36.96744946416934\n ],\n [\n -75.970458984375,\n 37.501010429493284\n ],\n [\n -75.65185546874999,\n 37.90953361677018\n ],\n [\n -75.82763671875,\n 37.96152331396614\n ],\n [\n -75.816650390625,\n 38.07404145941957\n ],\n [\n -76.278076171875,\n 38.40194908237822\n ],\n [\n -76.168212890625,\n 38.8225909761771\n ],\n [\n -76.256103515625,\n 39.104488809440475\n ],\n [\n -76.1572265625,\n 39.29179704377487\n ],\n [\n -75.9375,\n 39.50404070558415\n ],\n [\n -75.9814453125,\n 39.57182223734374\n ],\n [\n -76.11328125,\n 39.53793974517628\n ],\n [\n -76.168212890625,\n 39.39375459224348\n ],\n [\n -76.3330078125,\n 39.36827914916014\n ],\n [\n -76.519775390625,\n 39.18117526158749\n ],\n [\n -76.5966796875,\n 38.805470223177466\n ],\n [\n -76.431884765625,\n 38.35888785866677\n ],\n [\n -76.35498046875,\n 38.07404145941957\n ],\n [\n -76.35498046875,\n 37.65773212628272\n ],\n [\n -76.453857421875,\n 37.33522435930639\n ],\n [\n -76.409912109375,\n 37.09900294387622\n ],\n [\n -76.11328125,\n 36.96744946416934\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"125","issue":"7","noUsgsAuthors":false,"publicationDate":"2020-07-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Herrmann, Maria","contributorId":198519,"corporation":false,"usgs":false,"family":"Herrmann","given":"Maria","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":819664,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Najjar, Raymond G. 0000-0002-3770-2300","orcid":"https://orcid.org/0000-0002-3770-2300","contributorId":261280,"corporation":false,"usgs":false,"family":"Najjar","given":"Raymond","email":"","middleInitial":"G.","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":819665,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Da, Fei 0000-0002-5330-5962","orcid":"https://orcid.org/0000-0002-5330-5962","contributorId":261282,"corporation":false,"usgs":false,"family":"Da","given":"Fei","email":"","affiliations":[{"id":40564,"text":"Virginia Institute of Marine Science, William & Mary","active":true,"usgs":false}],"preferred":false,"id":819666,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Friedman, Jaclyn R. 0000-0001-8120-2541","orcid":"https://orcid.org/0000-0001-8120-2541","contributorId":222587,"corporation":false,"usgs":false,"family":"Friedman","given":"Jaclyn","email":"","middleInitial":"R.","affiliations":[{"id":40564,"text":"Virginia Institute of Marine Science, William & Mary","active":true,"usgs":false}],"preferred":false,"id":819668,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Friedrichs, Marjorie A. M. 0000-0003-2828-7595","orcid":"https://orcid.org/0000-0003-2828-7595","contributorId":222588,"corporation":false,"usgs":false,"family":"Friedrichs","given":"Marjorie","email":"","middleInitial":"A. M.","affiliations":[{"id":40564,"text":"Virginia Institute of Marine Science, William & Mary","active":true,"usgs":false}],"preferred":false,"id":819669,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Goldberger, Sreece","contributorId":261284,"corporation":false,"usgs":false,"family":"Goldberger","given":"Sreece","email":"","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":819667,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Menendez, Alana","contributorId":261286,"corporation":false,"usgs":false,"family":"Menendez","given":"Alana","email":"","affiliations":[{"id":38178,"text":"City College of New York","active":true,"usgs":false}],"preferred":false,"id":819670,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shadwick, Elizabeth H. 0000-0003-4008-3333","orcid":"https://orcid.org/0000-0003-4008-3333","contributorId":222589,"corporation":false,"usgs":false,"family":"Shadwick","given":"Elizabeth","email":"","middleInitial":"H.","affiliations":[{"id":36909,"text":"CSIRO","active":true,"usgs":false}],"preferred":false,"id":819671,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stets, Edward G. 0000-0001-5375-0196 estets@usgs.gov","orcid":"https://orcid.org/0000-0001-5375-0196","contributorId":194490,"corporation":false,"usgs":true,"family":"Stets","given":"Edward","email":"estets@usgs.gov","middleInitial":"G.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":819672,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"St-Laurent, Pierre 0000-0002-1700-9509","orcid":"https://orcid.org/0000-0002-1700-9509","contributorId":261288,"corporation":false,"usgs":false,"family":"St-Laurent","given":"Pierre","email":"","affiliations":[{"id":40564,"text":"Virginia Institute of Marine Science, William & Mary","active":true,"usgs":false}],"preferred":false,"id":819673,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70263672,"text":"70263672 - 2020 - Rapid geodetic observations of spatiotemporally varying postseismic deformation following the Ridgecrest earthquake sequence: The U.S. Geological Survey response","interactions":[],"lastModifiedDate":"2025-02-19T15:44:53.451305","indexId":"70263672","displayToPublicDate":"2020-05-27T09:39:55","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Rapid geodetic observations of spatiotemporally varying postseismic deformation following the Ridgecrest earthquake sequence: The U.S. Geological Survey response","docAbstract":"

The U.S. Geological Survey’s geodetic response to the 4–5 July 2019 (Pacific time) Ridgecrest earthquake sequence comprised primarily the installation and/or reoccupation of Global Navigation Satellite System (GNSS) monumentation. Our response focused primarily on the United States’ Navy’s China Lake Naval Air Weapons Station base (NAWSCL). This focus was because much of the surface rupture occurred on the NAWSCL and because of NAWSCL access restrictions only permitting Federal and State of California personnel. In total, we measured or are still measuring at 24 sites, 14 of which were on the NAWSCL and, as of this writing, operational. The majority of sites were set up as continuous stations logging at either 1 sample per second or 1 sample per 15 s. Two stations were recording a 200 m cross‐rupture aperture starting ∼10  hr after the M 6.4 event, and they recorded the coseismic displacements of the M 7.1. Approximately, 1 hr after the M 7.1 event, two new stations were recording a ∼200  m cross‐rupture aperture of the surface rupture. In the days following, we established the rest of the stations ranging to a distance of ∼15  km from the M 7.1 principal rupture trace. The lack of differential displacement across the M 6.4 rupture during the M 7.1 event suggests that it did not reactivate the M 6.4 plane. The lack of differential cross‐fault displacement for both events suggests that rapid shallow afterslip did not occur at those two locations. The postseismic time series from these stations shows centimeters of horizontal displacement over periods of a few months. They record a mixture of fault‐parallel and fault‐normal displacements that, in conjunction with analysis of more spatially complete Interferometric Synthetic Aperture Radar displacement fields, suggest that both poroelastic and afterslip phenomena occur along the M 6.4 and 7.1 rupture planes. Using preliminary data from these and other regional stations, we also explore the Ridgecrest sequence’s effect on regional GNSS time series and the differentiation of long‐term postseismic motions and secular deformation rates. We find that redefining a common‐mode noise filter using different GNSS stations that are assumed to be unaffected by the earthquakes results in small but systematic differences in the regional velocity field estimate.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220200007","usgsCitation":"Brooks, B.A., Murray, J.R., Svarc, J.L., Phillips, E.L., Turner, R., Murray, M.H., Ericksen, T., Wang, K., Minson, S.E., Burgmann, R., Pollitz, F., Hudnut, K.W., Nevitt, J., Roeloffs, E., Hernandez, J., and Olson, B., 2020, Rapid geodetic observations of spatiotemporally varying postseismic deformation following the Ridgecrest earthquake sequence: The U.S. Geological Survey response: Seismological Research Letters, v. 9, no. 4, p. 2108-2123, https://doi.org/10.1785/0220200007.","productDescription":"16 p.","startPage":"2108","endPage":"2123","ipdsId":"IP-113806","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":482213,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-05-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Brooks, Benjamin A. 0000-0001-7954-6281 bbrooks@usgs.gov","orcid":"https://orcid.org/0000-0001-7954-6281","contributorId":5237,"corporation":false,"usgs":true,"family":"Brooks","given":"Benjamin","email":"bbrooks@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927765,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murray, Jessica R. 0000-0002-6144-1681 jrmurray@usgs.gov","orcid":"https://orcid.org/0000-0002-6144-1681","contributorId":2759,"corporation":false,"usgs":true,"family":"Murray","given":"Jessica","email":"jrmurray@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927766,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Svarc, Jerry L. 0000-0002-2802-4528","orcid":"https://orcid.org/0000-0002-2802-4528","contributorId":212736,"corporation":false,"usgs":true,"family":"Svarc","given":"Jerry","email":"","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927767,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Phillips, Ellen L. 0000-0003-3381-5428","orcid":"https://orcid.org/0000-0003-3381-5428","contributorId":331482,"corporation":false,"usgs":true,"family":"Phillips","given":"Ellen","email":"","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927768,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Turner, Ryan Clayton 0000-0003-0732-5951","orcid":"https://orcid.org/0000-0003-0732-5951","contributorId":351029,"corporation":false,"usgs":true,"family":"Turner","given":"Ryan Clayton","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927769,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Murray, Mark Hunter 0000-0003-4862-5547","orcid":"https://orcid.org/0000-0003-4862-5547","contributorId":300982,"corporation":false,"usgs":true,"family":"Murray","given":"Mark","email":"","middleInitial":"Hunter","affiliations":[{"id":237,"text":"Earthquake 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Science Center","active":true,"usgs":true}],"preferred":true,"id":927773,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Burgmann, Roland 0000-0002-3560-044X","orcid":"https://orcid.org/0000-0002-3560-044X","contributorId":264610,"corporation":false,"usgs":false,"family":"Burgmann","given":"Roland","email":"","affiliations":[{"id":54514,"text":"Berkeley Seismological Laboratory, University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":927774,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927775,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hudnut, Kenneth W. 0000-0002-3168-4797 hudnut@usgs.gov","orcid":"https://orcid.org/0000-0002-3168-4797","contributorId":2550,"corporation":false,"usgs":true,"family":"Hudnut","given":"Kenneth","email":"hudnut@usgs.gov","middleInitial":"W.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":927776,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Nevitt, Johanna 0000-0003-3819-1773 jnevitt@usgs.gov","orcid":"https://orcid.org/0000-0003-3819-1773","contributorId":198144,"corporation":false,"usgs":true,"family":"Nevitt","given":"Johanna","email":"jnevitt@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927777,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Roeloffs, Evelyn 0000-0002-4761-0469","orcid":"https://orcid.org/0000-0002-4761-0469","contributorId":215340,"corporation":false,"usgs":true,"family":"Roeloffs","given":"Evelyn","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927778,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Hernandez, Janis","contributorId":216335,"corporation":false,"usgs":false,"family":"Hernandez","given":"Janis","affiliations":[{"id":12640,"text":"California Geological Survey","active":true,"usgs":false}],"preferred":false,"id":927779,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Olson, Brian","contributorId":217365,"corporation":false,"usgs":false,"family":"Olson","given":"Brian","affiliations":[{"id":12640,"text":"California Geological Survey","active":true,"usgs":false}],"preferred":false,"id":927780,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70211626,"text":"70211626 - 2020 - Departures of rangeland fractional component cover and land cover from landsat-based ecological potential in Wyoming USA","interactions":[],"lastModifiedDate":"2020-11-13T15:47:47.342487","indexId":"70211626","displayToPublicDate":"2020-05-27T09:33:16","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Departures of rangeland fractional component cover and land cover from landsat-based ecological potential in Wyoming USA","docAbstract":"

Monitoring rangelands by identifying the departure of contemporary conditions from long-term ecological potential allows for the disentanglement of natural biophysical gradients driving change from changes associated with land uses and other disturbance types. We developed maps of ecological potential (EP) for shrub, sagebrush (Artemisia spp.), perennial herbaceous, litter, and bare ground fractional cover in Wyoming, USA. EP maps correspond to the potential natural vegetation cover expected by environmental conditions in the absence of anthropogenic and natural disturbance as represented by the greenest and least disturbed period of the Landsat archive. EP was predicted using regression tree models with inputs of soil maps and spectral data associated with the 75th percentile of the Normalized Difference Vegetation Index in the Landsat archive. We trained our EP models with 2015 component cover maps on ecologically intact sites with relatively lower bare ground than expected. We generated departure of vegetation cover by comparing the EP and 2015 fractional cover. The departures represent land cover change from potential land cover and/or within-state changes in 2015. Next, we converted EP and 2015 fractional cover maps into thematic land cover and evaluated departure to determine if it was great enough to result in land cover change. The 2015 conditions showed reduced shrub, sagebrush, litter, and perennial herbaceous cover and increased bare ground relative to EP. Known disturbances, such as energy development, fires, and vegetation treatments, are clearly visible on the departure maps, but not on EP component maps. The most frequent departure from EP land cover was shrubland conversion to grassland. Land cover departures can be explained only in small part by known disturbance, and instead are ostensibly related to climate and land management practices. These drivers result in land cover departures that broadened the ecotone between shrubland and grassland relative to EP.

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(EROS) Center","active":true,"usgs":true}],"preferred":true,"id":794864,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70216851,"text":"70216851 - 2020 - Landscape matters: Predicting the biogeochemical effects of permafrost thaw on aquatic networks with a state factor approach","interactions":[],"lastModifiedDate":"2020-12-09T13:29:53.289874","indexId":"70216851","displayToPublicDate":"2020-05-27T08:27:24","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3032,"text":"Permafrost and Periglacial Processes","active":true,"publicationSubtype":{"id":10}},"title":"Landscape matters: Predicting the biogeochemical effects of permafrost thaw on aquatic networks with a state factor approach","docAbstract":"

Permafrost thaw has been widely observed to alter the biogeochemistry of recipient aquatic ecosystems. However, research from various regions has shown considerable variation in effect. In this paper, we propose a state factor approach to predict the release and transport of materials from permafrost through aquatic networks. Inspired by Hans Jenny's seminal description of soil‐forming factors, and based on the growing body of research on the subject, we propose that a series of state factors—including relief, ice content, permafrost extent, and parent material—will constrain and direct the biogeochemical effect of thaw over time. We explore state‐factor‐driven variation in thaw response using a series of case studies from diverse regions of the permafrost‐affected north, and also describe unique scaling considerations related to the mobile and integrative nature of aquatic networks. While our cross‐system review found coherent responses to thaw for some biogeochemical constituents, such as nutrients, others, such as dissolved organics and particles, were much more variable in their response. We suggest that targeted, hypothesis‐driven investigation of the effects of state factor variation will bolster our ability to predict the biogeochemical effects of thaw across diverse and rapidly changing northern landscapes.

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