{"pageNumber":"508","pageRowStart":"12675","pageSize":"25","recordCount":165387,"records":[{"id":70228919,"text":"70228919 - 2021 - Survey design optimization for monitoring wildlife communities in areas managed for federally endangered species","interactions":[],"lastModifiedDate":"2022-02-24T22:52:21.427369","indexId":"70228919","displayToPublicDate":"2021-03-01T16:39:54","publicationYear":"2021","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":"Survey design optimization for monitoring wildlife communities in areas managed for federally endangered species","docAbstract":"In wildlife communities composed of federally endangered species, there are often several species of conservation concern that have not yet warranted federally mandated protection. These species often need continued monitoring to inform the direction of future management. While recovering endangered species is an important conservation goal, practitioners are challenged by balancing federally mandated protocols with actions that promote non-listed priority species. Practitioners need an understanding of how focused, single-species management actions may affect non-listed priority species, but developing a monitoring protocol that can detect such effects with limited resources is a challenge. Here we use constrained optimization as a path to identifying a sampling scheme that overcomes these logistical challenges and then illustrate its potential in the Sandhills region of North Carolina, USA. Using empirical results from multi-year avian community monitoring, we parameterized simulations to understand how varying the number of sampling locations and site visits affected the optimal monitoring protocol across three different avian community composition scenarios: a community with (1) 10 percent, (2) 25 percent, or (3) 50 percent non-listed priority species. We found the greatest rate of change in precision of community-level metrics such as species richness by increasing sampling replicates when surveying up to 50 sites. Importantly, this trend was apparent across all three community scenarios, indicating relatively predictable changes in uncertainty regardless of community composition. In contrast, increasing the sampling frequency did not consistently reduce uncertainty in species-level parameters such as occupancy probability. Concerningly, we saw the greatest variation when communities were comprised of 50 percent non-listed species suggesting increasingly complex monitoring protocols may be required if the number of non-listed priority species continues to increase. Practitioners could consider reducing detection error of priority species through increasing sampling frequency, as this can strongly affect optimization study designs.","language":"English","publisher":"Wiley","doi":"10.1111/acv.12681","usgsCitation":"Pease, B., Pacifici, K., and Collazo, J.A., 2021, Survey design optimization for monitoring wildlife communities in areas managed for federally endangered species: Animal Conservation, v. 24, no. 5, p. 756-769, https://doi.org/10.1111/acv.12681.","productDescription":"14 p.","startPage":"756","endPage":"769","ipdsId":"IP-119135","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":396458,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Sandhills Game Land, Sandhills Region","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-79.0992,35.1777],[-79.1139,35.1193],[-79.1089,35.1147],[-79.1078,35.1129],[-79.109,35.1097],[-79.1073,35.1074],[-79.1062,35.1034],[-79.104,35.0997],[-79.1041,35.0956],[-79.1052,35.0933],[-79.1019,35.0911],[-79.0974,35.0883],[-79.098,35.0856],[-79.0969,35.0792],[-79.0947,35.0756],[-79.0954,35.0692],[-79.0972,35.0624],[-79.0978,35.0524],[-79.0979,35.0493],[-79.0984,35.0484],[-79.0974,35.0452],[-79.0951,35.0424],[-79.0952,35.0392],[-79.0924,35.0356],[-79.088,35.0324],[-79.0868,35.0319],[-79.0846,35.0287],[-79.0824,35.0269],[-79.0774,35.0209],[-79.0674,35.0127],[-79.0475,34.9907],[-79.0476,34.9812],[-79.0366,34.9639],[-79.0373,34.9548],[-79.1307,34.881],[-79.1849,34.8356],[-79.3501,34.8398],[-79.3512,34.838],[-79.3569,34.828],[-79.3603,34.8226],[-79.3609,34.8162],[-79.356,34.808],[-79.3532,34.8025],[-79.3532,34.7994],[-79.3505,34.7962],[-79.3488,34.7921],[-79.3455,34.7884],[-79.3356,34.7743],[-79.335,34.7706],[-79.4614,34.63],[-79.5388,34.6932],[-79.6753,34.8046],[-79.6874,34.8048],[-79.7053,34.8051],[-79.7424,34.8058],[-79.9248,34.8084],[-79.9158,34.8193],[-79.9079,34.8474],[-79.9006,34.8579],[-79.8984,34.8601],[-79.8866,34.8642],[-79.8748,34.8724],[-79.8664,34.8783],[-79.8496,34.8996],[-79.8484,34.9046],[-79.8495,34.9109],[-79.8568,34.9237],[-79.8624,34.9328],[-79.8663,34.9387],[-79.8736,34.9491],[-79.8629,34.9754],[-79.8679,34.9804],[-79.8741,34.9827],[-79.887,34.9882],[-79.8954,34.995],[-79.901,35.0041],[-79.9004,35.0113],[-79.892,35.0227],[-79.8791,35.0331],[-79.8757,35.0381],[-79.8757,35.0427],[-79.8824,35.0513],[-79.8992,35.0595],[-79.906,35.0654],[-79.911,35.0713],[-79.9121,35.0794],[-79.9121,35.0949],[-79.9121,35.0981],[-79.9245,35.1076],[-79.9273,35.1153],[-79.9329,35.119],[-79.9503,35.1203],[-79.9593,35.1176],[-79.9762,35.1067],[-79.9835,35.0995],[-79.9846,35.0931],[-79.9902,35.0917],[-79.9981,35.0854],[-80.0228,35.0886],[-80.0307,35.0904],[-80.0374,35.0922],[-80.0414,35.0985],[-80.0481,35.1026],[-80.0549,35.1081],[-80.0577,35.1085],[-80.07,35.1108],[-80.0717,35.1122],[-80.0751,35.1153],[-80.0757,35.1231],[-80.0785,35.1367],[-80.0768,35.1471],[-80.0706,35.1444],[-80.0172,35.1399],[-79.9835,35.1589],[-79.9666,35.1585],[-79.9526,35.1553],[-79.9407,35.1585],[-79.898,35.1603],[-79.8817,35.1652],[-79.8563,35.1811],[-79.8513,35.1829],[-79.8344,35.1756],[-79.8243,35.1779],[-79.8074,35.1778],[-79.7883,35.1751],[-79.7725,35.1764],[-79.7562,35.1718],[-79.7343,35.1763],[-79.7163,35.1745],[-79.7078,35.1763],[-79.6988,35.179],[-79.6848,35.1767],[-79.664,35.1698],[-79.6415,35.1575],[-79.6365,35.1579],[-79.6269,35.1624],[-79.6184,35.1629],[-79.619,35.1651],[-79.6212,35.1683],[-79.6291,35.1693],[-79.6499,35.1829],[-79.6622,35.1911],[-79.6661,35.202],[-79.6666,35.2116],[-79.67,35.2161],[-79.6683,35.2211],[-79.676,35.2429],[-79.6828,35.2448],[-79.6884,35.247],[-79.6918,35.2461],[-79.694,35.2516],[-79.6963,35.2534],[-79.6991,35.2521],[-79.703,35.253],[-79.7086,35.2589],[-79.7092,35.268],[-79.7137,35.2734],[-79.7176,35.2803],[-79.7164,35.2862],[-79.7164,35.2889],[-79.7125,35.2911],[-79.7079,35.2943],[-79.7632,35.4751],[-79.7636,35.5118],[-79.5557,35.5158],[-79.3506,35.5166],[-79.3528,35.5144],[-79.3534,35.513],[-79.3478,35.5062],[-79.3456,35.5057],[-79.3428,35.5021],[-79.3417,35.4975],[-79.3423,35.4944],[-79.3468,35.4921],[-79.3514,35.4872],[-79.3525,35.4835],[-79.3599,35.4745],[-79.3533,35.4604],[-79.3298,35.4389],[-79.3321,35.4271],[-79.2934,35.4029],[-79.2751,35.3664],[-79.273,35.3514],[-79.2567,35.3464],[-79.2142,35.3193],[-79.1833,35.3073],[-79.2226,35.2681],[-79.2029,35.2598],[-79.1918,35.2501],[-79.1744,35.245],[-79.1649,35.2382],[-79.1566,35.2254],[-79.1567,35.2172],[-79.1511,35.2117],[-79.1338,35.2034],[-79.1202,35.2051],[-79.1057,35.1991],[-79.1006,35.1973],[-79.0962,35.1922],[-79.0985,35.1859],[-79.0992,35.1777]]]},\"properties\":{\"name\":\"Hoke\",\"state\":\"NC\"}}]}","volume":"24","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pease, B.S.","contributorId":280024,"corporation":false,"usgs":false,"family":"Pease","given":"B.S.","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":835896,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pacifici, Krishna","contributorId":244494,"corporation":false,"usgs":false,"family":"Pacifici","given":"Krishna","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":835897,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collazo, Jaime A. 0000-0002-1816-7744","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":217287,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime","email":"","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":835898,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70228575,"text":"70228575 - 2021 - Ecology of an isolated muskrat population during regional population declines","interactions":[],"lastModifiedDate":"2022-02-15T12:01:06.3463","indexId":"70228575","displayToPublicDate":"2021-03-01T15:18:53","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2898,"text":"Northeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Ecology of an isolated muskrat population during regional population declines","docAbstract":"Evidence indicating a decline in muskrat populations in the United States during the past 40 years has led to speculation regarding factors influencing muskrat survival. In order to understand population dynamics and survival, it is important to first define the ecology of local populations. We investigated the dwelling structure use, movements, home range, and survival of radio-tagged muskrats (n = 14) in an urban wetland complex in central Pennsylvania. We used locations collected from intensive radio telemetry monitoring to determine number of lodging structures used, hourly movement, and size and percent area overlap of home ranges. Muskrats shared an average of nine lodging structures and on average 68% of a muskrat’s home range overlapped other muskrat home ranges. We used four home range estimators (Kernel Density Estimator (KDE) href, KDEad hoc, KDEplug-in, and Local Convex Hull estimator) to assess the ability of each estimator to represent muskrat home ranges. The KDEplug-in that constrained the estimate of home range to habitat boundaries provided the more appropriate home range size for muskrats in a linear-non-linear habitat matrix. We also calculated overwinter survival estimates using known-fate models. Our top model indicated a positive effect of the average weekly precipitation on survival with an overwinter survival estimate of 0.59 (SE = 0.16). The main cause of muskrat mortality was predation by mink (n = 6). The small sample size and uncertainty surrounding our model selection led to weak estimates of survival, however our model suggests that snowfall may be an important factor in muskrat survival. Our study provides novel data on muskrat ecology in Pennsylvania as well as preliminary evidence for future investigations of factors affecting muskrat survival during the winter months.","language":"English","publisher":"Humboldt Field Research Institute","doi":"10.1656/045.028.0104","usgsCitation":"Ganoe, L.S., Lovallo, M.J., Brown, J., and Walter, W., 2021, Ecology of an isolated muskrat population during regional population declines: Northeastern Naturalist, v. 28, no. 1, p. 49-64, https://doi.org/10.1656/045.028.0104.","productDescription":"16 p.","startPage":"49","endPage":"64","ipdsId":"IP-117530","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":395947,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","city":"Lewisburg","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.91184997558594,\n 40.94126775545064\n ],\n [\n -76.88215255737305,\n 40.94126775545064\n ],\n [\n -76.88215255737305,\n 40.973547658439244\n ],\n [\n -76.91184997558594,\n 40.973547658439244\n ],\n [\n -76.91184997558594,\n 40.94126775545064\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"28","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ganoe, Laken S.","contributorId":276194,"corporation":false,"usgs":false,"family":"Ganoe","given":"Laken","email":"","middleInitial":"S.","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":834647,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lovallo, Matt J.","contributorId":276195,"corporation":false,"usgs":false,"family":"Lovallo","given":"Matt","email":"","middleInitial":"J.","affiliations":[{"id":56616,"text":"PA Game Commission","active":true,"usgs":false}],"preferred":false,"id":834648,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Justin D.","contributorId":276196,"corporation":false,"usgs":false,"family":"Brown","given":"Justin D.","affiliations":[{"id":56616,"text":"PA Game Commission","active":true,"usgs":false}],"preferred":false,"id":834649,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walter, W. David 0000-0003-3068-1073","orcid":"https://orcid.org/0000-0003-3068-1073","contributorId":219540,"corporation":false,"usgs":true,"family":"Walter","given":"W. David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":834646,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70262807,"text":"70262807 - 2021 - Aerial strip-transect surveys: Indexing autumn–winter waterbird abundance and distribution in South Carolina","interactions":[],"lastModifiedDate":"2025-01-23T21:19:19.338796","indexId":"70262807","displayToPublicDate":"2021-03-01T15:14:32","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3909,"text":"Journal of the Southeastern Association of Fish and Wildlife Agencies","active":true,"publicationSubtype":{"id":10}},"title":"Aerial strip-transect surveys: Indexing autumn–winter waterbird abundance and distribution in South Carolina","docAbstract":"

Aerial surveys integrating probability-based sample designs have been implemented successfully to estimate relative abundance of wintering ducks in Arkansas, Louisiana, Mississippi, and Missouri, but these approaches have not been evaluated in the Atlantic Flyway except for American black ducks (Anas rubripes) along the Atlantic coast. Furthermore, these surveys have not been used to index abundance of other nonbreeding waterbirds. Given elimination or reduction of resources allocated to the Midwinter Waterfowl Survey in the Atlantic Flyway and elsewhere, the South Carolina Department of Natural Resources (SCDNR) expressed a need for reliable surveys to monitor waterfowl and other waterbirds during autumn through winter. We designed stratified aerial strip-transect surveys to estimate population indices for migrating and wintering dabbling ducks (Anatini), diving ducks (Aythini, Mergini, Oxyurini), pelagic and piscivorous waterbirds (Anhingidae, Laridae, Pelicanidae, Phalacrocoracidae), and wading birds (Ardeidae, Ciconiidae, Threskiornithidae) in coastal and inland regions of South Carolina during autumn-winter 2017–2019. We used unequal probability random sampling to estimate population indices with deemed adequate precision (i.e., coefficient of variation [CV] ≤ 20%) and estimated theoretical survey efforts needed to achieve desired precision for future aerial surveys. Indices met our goal for precision in September and January 2018 for wading birds, in February and November 2018 for pelagic waterbirds, and in February 2018 for diving ducks, but never for other ducks during South Carolina waterfowl hunting season. We detected peak abundance of dabbling and diving ducks in January and wading birds and wood storks (Mycteria americana) in September. We estimated ~2.5 times greater survey effort was needed across waterbird taxa than was expended to achieve a CV=20%. We also used survey data to depict spatiotemporal variation in waterbird distributions across the study area. Our surveys are applicable for the SCDNR and other agencies seeking to monitor autumn-winter waterbird populations. Although survey refinements are necessary to increase precision in South Carolina, our waterbird indices are useful to assess population trends through time, guide habitat management and restoration efforts, refine local harvest regulations, inform law enforcement to detected illicit activities (e.g., baiting), and monitor possible shifting waterbird distributions in response to land-use and climate change.

","language":"English","publisher":"Southeastern Association of Fish and Wildlife Agencies","usgsCitation":"Ross, B., Wilkerson, G., Kneece, M., Masto, N., Gerard, P., and Kaminski, R., 2021, Aerial strip-transect surveys: Indexing autumn–winter waterbird abundance and distribution in South Carolina: Journal of the Southeastern Association of Fish and Wildlife Agencies, v. 8, p. 89-100.","productDescription":"12 p.","startPage":"89","endPage":"100","ipdsId":"IP-119300","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":480972,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://seafwa.org/journal/2021/aerial-strip-transect-surveys-indexing-autumn-winter-waterbird-abundance-and"},{"id":481109,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South 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Kennedy Waterfowl & Wetlands Conservation Center","active":true,"usgs":false}],"preferred":false,"id":924830,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70218461,"text":"ds1133 - 2021 - Compilation of information on occurrence and conservation status for the freshwater mussel fauna of Nebraska, Kansas, and Oklahoma","interactions":[],"lastModifiedDate":"2022-07-12T12:14:55.286929","indexId":"ds1133","displayToPublicDate":"2021-03-01T13:00:00","publicationYear":"2021","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":"1133","displayTitle":"Compilation of Information on Occurrence and Conservation Status for the Freshwater Mussel Fauna of Nebraska, Kansas, and Oklahoma","title":"Compilation of information on occurrence and conservation status for the freshwater mussel fauna of Nebraska, Kansas, and Oklahoma","docAbstract":"

The purpose of this data series is to compile information on the occurrence and conservation status of the freshwater mussel fauna of Nebraska, Kansas, and Oklahoma and to map the distribution of a freshwater mussel assemblage for the U.S. Department of the Interior, Bureau of Land Management Rapid Ecoregional Assessment (REA) program. The six focal species in the freshwater mussel assemblage are Amblema plicata (threeridge), Fusconaia flava (Wabash pigtoe), Lampsilis cardium (plain pocketbook), Lampsilis teres (yellow sandshell), Pyganodon grandis (giant floater), and Uniomerus tetralasmus (pondhorn). The focal species were selected using the following criteria: (1) the species are regionally significant, (2) occurrence records are sufficient to map the distribution of the species by hydrologic subbasins, (3) the assemblage includes species representing a range of State-level conservation priorities, and (4) the species are not listed as federally endangered or threatened. In addition, the species represent a broad array of life history strategies and habitat associations.

A total of 61 native species of freshwater mussels have documented occurrences within at least 1 of the 3 States, including 6 species that appear to have been extirpated from all the States and 6 species that may have been extirpated from at least 1 State. Of the 61 species, 8 species (including 3 potentially extirpated species) are listed as federally threatened or endangered and an additional 5 species are ranked as imperiled or vulnerable across their range. Approximately 80 percent of the native species known to have occurred within the three-State area have a secure conservation status, in comparison to only 40 percent of all freshwater mussel species or subspecies occurring within the United States. The compiled records for the contemporary period (1970–2017) documented the occurrence of 24 extant species in Nebraska, 42 in Kansas, and 48 in Oklahoma.

The contemporary distributions of the six focal species were mapped by subbasins and the larger hydrologic subregions. Historical records (prior to 1962) were also mapped but were limited. Amblema plicata, Fusconaia flava, and Lampsilis cardium were present in approximately one-third of all subbasins and slightly more than half of the subregions, primarily along the eastern portion of the three-State area. Lampsilis teres and Uniomerus tetralasmus were more widespread, occurring in close to half of the subbasins and about three-quarters of the subregions. Pyganodon grandis was the most widespread, occurring in about three-quarters of the subbasins and almost all subregions. There were very few subbasins with historical occurrences that lacked contemporary occurrences. The broad-scale distribution maps for the freshwater mussel assemblage presented with this report are intended to contribute baseline information for regional assessments, such as the Southern Great Plains Rapid Ecoregional Assessment. Despite the limitations of the available data, such baseline information can be useful for identifying data gaps, monitoring future trends, identifying conservation priorities, and providing the larger context for more detailed watershed- or catchment-level studies. ScienceBase data release files associated with this data series are available at https://doi.org/10.5066/P9SBFZJU (Fancher and Carr, 2021).

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1133","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Carr, N.B., and Fancher, T.S., 2021, Compilation of information on occurrence and conservation status for the freshwater mussel fauna of Nebraska, Kansas, and Oklahoma: U.S. Geological Survey Data Series 1133, 22 p., https://doi.org/10.3133/ds1133.","productDescription":"Report: vi, 22 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-119647","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":383657,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1133/ds1133.pdf","text":"Report","size":"13.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1133"},{"id":383666,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9SBFZJU","text":"USGS data 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\"}}]}","contact":"

Director, Fort Collins Science Center
U.S. Geological Survey
2150 Centre Ave., Building C
Fort Collins, CO 80526-8118

","tableOfContents":"","publishedDate":"2021-03-01","noUsgsAuthors":false,"publicationDate":"2021-03-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Carr, Natasha B. 0000-0002-4842-0632 carrn@usgs.gov","orcid":"https://orcid.org/0000-0002-4842-0632","contributorId":1918,"corporation":false,"usgs":true,"family":"Carr","given":"Natasha","email":"carrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":811009,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fancher, Tammy S. 0000-0002-1318-3614 fanchert@usgs.gov","orcid":"https://orcid.org/0000-0002-1318-3614","contributorId":3788,"corporation":false,"usgs":true,"family":"Fancher","given":"Tammy","email":"fanchert@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":811011,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70218460,"text":"fs20213001 - 2021 - Geomagnetic monitoring in the mid-Atlantic United States","interactions":[],"lastModifiedDate":"2021-05-11T20:59:24.473922","indexId":"fs20213001","displayToPublicDate":"2021-03-01T12:00:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-3001","displayTitle":"Geomagnetic Monitoring in the Mid-Atlantic United States","title":"Geomagnetic monitoring in the mid-Atlantic United States","docAbstract":"

Near historic battlegrounds of the American Civil War, southeast of Fredericksburg, Virginia, on a secluded grassy glade surrounded by forest, a specially designed observatory records the Earth’s changing magnetic field. This facility, the Fredericksburg Magnetic Observatory, is 1 of 14 observatories the U.S. Geological Survey Geomagnetism Program operates at various locations across the United States and its Territories as a service to the Nation and in support of a diversity of governmental, academic, and commercial scientific projects.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/fs20213001","usgsCitation":"Love, J.J., and Lewis, K.A., 2021, Geomagnetic monitoring in the mid-Atlantic United States: U.S. Geological Survey Fact Sheet 2021-3001, 2 p., https://doi.org/10.3133/fs20213001.","productDescription":"2 p.","onlineOnly":"Y","ipdsId":"IP-123555","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":383647,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2021/3001/coverthb.jpg"},{"id":383648,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2021/3001/fs20213001.pdf","text":"Report","size":"2.03 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2021-3001"}],"country":"United States","state":"Virginia","city":"Corbin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.37690210342407,\n 38.200738165988604\n ],\n [\n -77.37284660339355,\n 38.200738165988604\n ],\n [\n -77.37284660339355,\n 38.20303985929743\n ],\n [\n -77.37690210342407,\n 38.20303985929743\n ],\n [\n -77.37690210342407,\n 38.200738165988604\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Geologic Hazards Science Center
U.S. Geological Survey
Box 25046, MS-966
Denver, CO 80225-0046

","tableOfContents":"","publishedDate":"2021-03-01","noUsgsAuthors":false,"publicationDate":"2021-03-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":811007,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lewis, Kristen A. 0000-0003-4991-3399 klewis@usgs.gov","orcid":"https://orcid.org/0000-0003-4991-3399","contributorId":4120,"corporation":false,"usgs":true,"family":"Lewis","given":"Kristen","email":"klewis@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":811008,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70222575,"text":"70222575 - 2021 - Toward an effective global green economy: The Critical Minerals Mapping Initiative (CMMI)","interactions":[],"lastModifiedDate":"2022-01-20T17:59:58.023235","indexId":"70222575","displayToPublicDate":"2021-03-01T11:59:25","publicationYear":"2021","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":10041,"text":"SGA News","active":true,"publicationSubtype":{"id":30}},"title":"Toward an effective global green economy: The Critical Minerals Mapping Initiative (CMMI)","docAbstract":"Global population growth, economic development and the accelerating pace of technological innovation are driving increased demand for non-fuel mineral commodities that are vital for emerging and low-carbon technologies. Examples of such commodities include cobalt and graphite for rechargeable batteries, tellurium in thin-film solar photovoltaics and rare earth elements (REE) in permanent magnets, electronics and medical technologies. These commodities are known as critical elements and/or minerals (collectively referred to as critical minerals), with the term critical used to define not only their importance for new technologies, but also their demand and vulnerability to supply disruption. The demand for critical minerals is likely to continue to grow, but supply is not assured. Therefore, national strategies in Australia, Canada, United States and elsewhere (e.g. Europe: Wittenberg et al. 2021) are being developed to encourage exploration and production, including resolving the geological processes responsible for their enrichrichment into viable ore deposits. In 2019, Geoscience Australia (GA), the Geological Survey of Canada (GSC) and the United States Geological Survey (USGS) formed the Critical Minerals Mapping Initiative (CMMI) to undertake research to develop a better understanding of critical mineral resources in known deposits, determine the geological controls on critical mineral distribution for deposits currently producing by-products, and identify new sources of supply through mineral prospectivity mapping and resource assessment.","language":"English","publisher":"Society for Geology Applied to Mineral Deposits (SGA)","usgsCitation":"Kelley, K.D., Huston, D., and Peter, J., 2021, Toward an effective global green economy: The Critical Minerals Mapping Initiative (CMMI): SGA News, v. 48, no. March 2021, p. 1-5.","productDescription":"5 p.","startPage":"1","endPage":"5","ipdsId":"IP-124472","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":394599,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":387698,"type":{"id":15,"text":"Index Page"},"url":"https://e-sga.org/publications/sga-news/news-archive/"}],"volume":"48","issue":"March 2021","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kelley, Karen D. 0000-0002-3232-5809 kdkelley@usgs.gov","orcid":"https://orcid.org/0000-0002-3232-5809","contributorId":179012,"corporation":false,"usgs":true,"family":"Kelley","given":"Karen","email":"kdkelley@usgs.gov","middleInitial":"D.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":820614,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huston, David","contributorId":261768,"corporation":false,"usgs":false,"family":"Huston","given":"David","affiliations":[{"id":35920,"text":"Geoscience Australia","active":true,"usgs":false}],"preferred":false,"id":820615,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peter, Jan","contributorId":261769,"corporation":false,"usgs":false,"family":"Peter","given":"Jan","affiliations":[{"id":13092,"text":"Geological Survey of Canada","active":true,"usgs":false}],"preferred":false,"id":820616,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70270506,"text":"70270506 - 2021 - G-LiHT User Guide","interactions":[],"lastModifiedDate":"2025-08-21T16:01:18.077669","indexId":"70270506","displayToPublicDate":"2021-03-01T10:58:55","publicationYear":"2021","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"title":"G-LiHT User Guide","docAbstract":"

No abstract available.

","language":"English","publisher":"NASA","usgsCitation":"Wirt, B., 2021, G-LiHT User Guide (Version 1.0), 27 p.","productDescription":"27 p.","ipdsId":"IP-127618","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":494394,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":494393,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://lpdaac.usgs.gov/documents/971/G-LiHT_User_Guide_V1.pdf","linkFileType":{"id":1,"text":"pdf"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationDate":"2021-03-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Wirt, Bradford 0000-0001-6115-6963","orcid":"https://orcid.org/0000-0001-6115-6963","contributorId":220349,"corporation":false,"usgs":true,"family":"Wirt","given":"Bradford","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":946464,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70227888,"text":"70227888 - 2021 - Egg morphometrics and egg shape coefficients for White-faced Ibis (Plegadis chihi)","interactions":[],"lastModifiedDate":"2022-02-01T17:01:02.406386","indexId":"70227888","displayToPublicDate":"2021-03-01T10:54:51","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7509,"text":"The Wilson Journal of Ornithology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Egg morphometrics and egg shape coefficients for White-faced Ibis (Plegadis chihi)","title":"Egg morphometrics and egg shape coefficients for White-faced Ibis (Plegadis chihi)","docAbstract":"

Egg size is a useful metric for maternal investment, offspring quality, and contaminant studies. Yet these values and the egg shape coefficients required to estimate egg size are not available for many species, including White-faced-Ibis (Plegadis chihi). We provide egg morphometrics derived from 319 White-faced Ibis eggs sampled at Bear River Migratory Bird Refuge, Great Salt Lake, Utah, from 2010 to 2012. Measured egg length (mean ± SD) was 51.20 ± 1.99 mm, egg width was 36.08 ± 1.15 mm, and whole egg mass was 34.1 ± 3.3 g. Estimated whole egg volume was 34.63 ± 3.73 cm3 and estimated egg shape coefficients were 0.507 for Kv (whole egg and egg contents), 0.547 for Kw (whole egg), and 0.524 for Kw (egg contents only). In addition, we documented expected declines in egg mass over time due to incubation (–0.22 g/d) and desiccation during storage (–0.03 g/d), that should be accounted for prior to analyses that use egg mass of freshly laid eggs.

","language":"English","publisher":"Wilson Ornithological Society","doi":"10.1676/21-00057","usgsCitation":"Herzog, M.P., Ackerman, J.T., and Hartman, C.A., 2021, Egg morphometrics and egg shape coefficients for White-faced Ibis (Plegadis chihi): The Wilson Journal of Ornithology, v. 133, no. 1, p. 158-162, https://doi.org/10.1676/21-00057.","productDescription":"6 p.","startPage":"158","endPage":"162","ipdsId":"IP-118295","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":436480,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WMOG4Z","text":"USGS data release","linkHelpText":"Egg Morphometric Data Obtained for White-faced Ibis Nesting in Bear River Migratory Bird Refuge, Great Salt Lake, Utah (2010-2012)"},{"id":395215,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Bear River Migratory Bird Refuge, Great Salt Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.862548828125,\n 41.740577910570785\n ],\n [\n -112.7362060546875,\n 41.740577910570785\n ],\n [\n -112.642822265625,\n 41.55792157780418\n ],\n [\n -112.5494384765625,\n 41.47977575214487\n ],\n [\n -112.42584228515625,\n 41.49623534616764\n ],\n [\n -112.26104736328125,\n 41.55175560133366\n ],\n [\n -112.19238281249999,\n 41.55381099217959\n ],\n [\n -112.10174560546875,\n 41.50652046891492\n ],\n [\n -112.02209472656249,\n 41.44066745847661\n ],\n [\n -112.00836181640625,\n 41.36856413680967\n ],\n [\n -112.0660400390625,\n 41.31907562295136\n ],\n [\n -112.1649169921875,\n 41.265420628926684\n ],\n [\n -112.1649169921875,\n 41.21998578493921\n ],\n [\n -112.10723876953124,\n 41.1455697310095\n ],\n [\n -112.02209472656249,\n 41.06692773019345\n ],\n [\n -111.917724609375,\n 41.01513821521511\n ],\n [\n -111.86279296875,\n 40.948788179193485\n ],\n [\n -111.88751220703125,\n 40.88444793903562\n ],\n [\n -111.939697265625,\n 40.81588791441588\n ],\n [\n -111.96990966796875,\n 40.78054143186031\n ],\n [\n -112.04132080078125,\n 40.751418432997454\n ],\n [\n -112.16217041015624,\n 40.7202010588415\n ],\n [\n -112.2747802734375,\n 40.64730356252251\n ],\n [\n -112.35717773437499,\n 40.61812224225511\n ],\n [\n -112.4945068359375,\n 40.63479884404164\n ],\n [\n -112.60711669921875,\n 40.703545803451426\n ],\n [\n -112.7197265625,\n 40.78885994449482\n ],\n [\n -112.8570556640625,\n 40.9964840143779\n ],\n [\n -112.8955078125,\n 41.06899846310619\n ],\n [\n -112.91473388671875,\n 41.209655278807034\n ],\n [\n -113.10150146484375,\n 41.244772343082104\n ],\n [\n -113.14544677734375,\n 41.32320110223851\n ],\n [\n -113.09326171875,\n 41.3850519497068\n ],\n [\n -113.11248779296874,\n 41.469486382476376\n ],\n [\n -113.15093994140625,\n 41.566141964768384\n ],\n [\n -113.148193359375,\n 41.68316883525891\n ],\n [\n -113.0767822265625,\n 41.69957665997156\n ],\n [\n -112.862548828125,\n 41.740577910570785\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"133","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Herzog, Mark P. 0000-0002-5203-2835 mherzog@usgs.gov","orcid":"https://orcid.org/0000-0002-5203-2835","contributorId":131158,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark","email":"mherzog@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":832467,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":202848,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":832468,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hartman, C. Alex 0000-0002-7222-1633 chartman@usgs.gov","orcid":"https://orcid.org/0000-0002-7222-1633","contributorId":131157,"corporation":false,"usgs":true,"family":"Hartman","given":"C.","email":"chartman@usgs.gov","middleInitial":"Alex","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":832469,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70221153,"text":"70221153 - 2021 - Tarentola annularis (white-spotted wall gecko)","interactions":[],"lastModifiedDate":"2021-09-20T14:55:41.312299","indexId":"70221153","displayToPublicDate":"2021-03-01T09:51:12","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Tarentola annularis (white-spotted wall gecko)","title":"Tarentola annularis (white-spotted wall gecko)","docAbstract":"

USA: CALIFORNIA: Orange Co.: San Juan Capistrano (33.51°N,117.66°W; WGS 84). 25 August 2020. Samuel Fisher, Chelsea Martin, Robert Fisher. Verified by Gregory B. Pauly. Natural History Museum of Los Angeles County (LACM 191974). New county record. One juvenile (33 mm SVL) was collected, and another juvenile was seen 40 m away. Another juvenile was also observed during a second visit to the site on 19 September 2020. Wall geckos were first documented at this site since at least 2019 by Gary Nafis (G. Nafis, pers. comm. and as posted on www.californiaherps.com; 23 Aug 2020). Given that multiple individuals were observed at this site over 2 mo, this appears to be an established population. Invasive T. annularis were first detected in California in Redlands, San Bernardino County in the early 2000s (Wilcox et al. 2014. Herpetol. Rev. 45:464). This new Orange County population is ca. 80 km SW of the other known California population. While T. annularis has not spread much in the downtown urban center in Redlands over the last 20 years (S. Fisher, unpubl. data), it is possible it might expand its range more rapidly in a less urbanized habitat if there were more landscaping and natural features present. The only other published records for North America are from Florida where they are also invasive, and they have been known since the 1990s from several locations and continued to spread (Krysko et al. 2016. IRCF Rept. Amphib. 23:110-143). In the native range of T. annularis their habitat consists of desert, indicating that even though they are able to breed and persist in coastal Orange County they may not be in the optimal habitat (Ibrahim 2004. Zool. Middle East 31:23–38). A potential concern is that if T. annularis becomes more widespread in Southern California, they could present a risk to endemic nocturnal rock-dwelling species such as Xantusia henshawi and Phyllodactylus nocticolus because T. annularis has been shown to engage in saurophagy (Ibrahim 2004, op. cit.). It is much larger than these species (Xantusia henshawi SVL = 70 mm; Phyllodactylus nocticolus SVL = 63 mm; Tarentola SVL = 108 mm) and well adapted to desert habitats where it could be a potential predator or competitor.

","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"Fisher, S., Martin, C.E., and Fisher, R.N., 2021, Tarentola annularis (white-spotted wall gecko): Herpetological Review, v. 52, no. 1.","productDescription":"1 p.","startPage":"85","ipdsId":"IP-128505","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":389481,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Orange County","city":"San Juan Capistrano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.67378807067873,\n 33.49330726228523\n ],\n [\n -117.65027046203613,\n 33.49330726228523\n ],\n [\n -117.65027046203613,\n 33.51477815748719\n ],\n [\n -117.67378807067873,\n 33.51477815748719\n ],\n [\n -117.67378807067873,\n 33.49330726228523\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"52","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fisher, Samuel R","contributorId":225265,"corporation":false,"usgs":false,"family":"Fisher","given":"Samuel R","affiliations":[{"id":41086,"text":"La Sierra University","active":true,"usgs":false}],"preferred":false,"id":816868,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Chelsea E","contributorId":259234,"corporation":false,"usgs":false,"family":"Martin","given":"Chelsea","email":"","middleInitial":"E","affiliations":[{"id":52330,"text":"Loma Linda University","active":true,"usgs":false}],"preferred":false,"id":816869,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":816870,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70219061,"text":"70219061 - 2021 - Molecular and isotopic gas composition of the Devonian Berea Sandstone and implications for gas evolution, eastern Kentucky","interactions":[],"lastModifiedDate":"2021-03-23T14:29:33.528613","indexId":"70219061","displayToPublicDate":"2021-03-01T09:25:53","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":701,"text":"American Association of Petroleum Geologists Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Molecular and isotopic gas composition of the Devonian Berea Sandstone and implications for gas evolution, eastern Kentucky","docAbstract":"

Since 2011, the Devonian Berea Sandstone in northeastern Kentucky has produced oil where thermal maturity studies indicate that likely source rocks, namely, the Devonian Ohio Shale and Mississippian Sunbury Shale, are thermally immature. Downdip, where source rocks are mature for oil, the Berea Sandstone and Ohio Shale primarily produce gas. To investigate this thermal maturity discordancy, the molecular and isotopic composition of gases from the Berea Sandstone (oil associated) and Ohio Shale (nonassociated) were analyzed to understand the gas generation and migration history.

Collected along a northwest-southeast transect in eastern Kentucky, samples range from 1079 to 4602 ft, respectively. All are wet gases with a thermogenic origin (δ13C-CH4 = −53.5‰ to −46.1‰). This is mostly consistent with a reevaluation of thermal maturity in a companion study that expands the area mature for oil. Gas migration is required, however, in updip parts of the Berea play where vitrinite reflectance (VRo) values are less than 0.6%. Southeast regional dip exerts a first-order influence on thermal maturity as gases become drier and isotopically heavier downdip. Correlation of δ13C values for heavier hydrocarbon gases in a natural gas plot with VRo contour spacing demonstrates the influence of nearby source rock thermal maturity on gas composition. Downdip, migration of oil and the attendant increase in permeability relative to gas may account for the dominance of gas production in the Ohio Shale. Migration along with basin uplift after the Alleghany orogeny may have contributed to development of a gas phase that exsolved from oil.

","language":"English","publisher":"American Association of Petroleum Geologists","doi":"10.1306/10142019103","usgsCitation":"Parris, T.M., Hackley, P.C., Greb, S.F., and Eble, C.F., 2021, Molecular and isotopic gas composition of the Devonian Berea Sandstone and implications for gas evolution, eastern Kentucky: American Association of Petroleum Geologists Bulletin, v. 105, no. 3, p. 575-595, https://doi.org/10.1306/10142019103.","productDescription":"21 p.","startPage":"575","endPage":"595","ipdsId":"IP-103910","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":384581,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kentucky","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.078125,\n 36.686041276581925\n ],\n [\n -82.11181640625,\n 36.686041276581925\n ],\n [\n -82.11181640625,\n 38.70265930723801\n ],\n [\n -85.078125,\n 38.70265930723801\n ],\n [\n -85.078125,\n 36.686041276581925\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"105","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Parris, T. M.","contributorId":255584,"corporation":false,"usgs":false,"family":"Parris","given":"T.","email":"","middleInitial":"M.","affiliations":[{"id":40489,"text":"Kentucky Geological Survey","active":true,"usgs":false}],"preferred":false,"id":812628,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":812629,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Greb, S. F.","contributorId":255538,"corporation":false,"usgs":false,"family":"Greb","given":"S.","email":"","middleInitial":"F.","affiliations":[{"id":40489,"text":"Kentucky Geological Survey","active":true,"usgs":false}],"preferred":false,"id":812630,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eble, C. F.","contributorId":255536,"corporation":false,"usgs":false,"family":"Eble","given":"C.","email":"","middleInitial":"F.","affiliations":[{"id":40489,"text":"Kentucky Geological Survey","active":true,"usgs":false}],"preferred":false,"id":812631,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70220142,"text":"70220142 - 2021 - Paragenesis of an orogenic gold deposit: New insights on mineralizing processes at the Grass Valley District, California","interactions":[],"lastModifiedDate":"2021-04-21T14:25:38.79225","indexId":"70220142","displayToPublicDate":"2021-03-01T09:21:20","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Paragenesis of an orogenic gold deposit: New insights on mineralizing processes at the Grass Valley District, California","docAbstract":"

The Grass Valley orogenic gold district in the Sierra Nevada foothills province, central California, is the largest historical gold producer of the North American Cordillera. Gold mineralization is associated with shallowly dipping north-south veins hosted by the 160 Ma Grass Valley granodiorite to the southwest of the Grass Valley fault and steeply dipping east-west veins in accreted oceanic rocks to the northeast of this major fault. Quartz veins from both vein types show well-preserved primary textural relationships. Using a combination of petrographic and microanalytical techniques, the paragenetic sequence of minerals within the veins and the compositions of ore minerals were determined to constrain the mechanisms of quartz vein formation and gold deposition. The veins are composed of early quartz that formed through cooling of hydrothermal fluids derived from a geopressured reservoir at depth. The early quartz shows growth zoning in optical cathodoluminescence and contains abundant growth bands of primary inclusions. The primary inclusion assemblages and myriads of crosscutting secondary fluid inclusions have been affected by postentrapment modification, suggesting that early quartz formation was postdated by pronounced pressure fluctuations. These pressure fluctuations, presumably involving changes from lithostatic to hydrostatic conditions, may be related to fault failure of the host structure as predicted by the fault-valve model. Fluid flow associated with pressure cycling took place along microfractures and grain boundaries resulting in extensive recrystallization of the early quartz. Deposition of pyrite, arsenopyrite, and first-generation gold from these hydrothermal fluids causing recrystallization of the early quartz occurred as a result of wall-rock sulfidation. The gold forms invisible gold in the compositionally zoned pyrite or micron-sized inclusions within pyrite growth zones. The latest growth zones in euhedral quartz crystals that formed in association with this stage of the paragenesis contain very rare primary fluid inclusions that have not been affected by postentrapment modification. The hydrothermal system transitioned entirely to hydrostatic conditions immediately after formation of the latest quartz, explaining the preservation of the primary fluid inclusions. The formation of minor quartz in open spaces was followed by the deposition of second-generation native gold and telluride minerals that are commonly associated with base metal sulfides. Ore formation at this stage of the paragenesis is attributed to the rapid decompression of hydrothermal fluids escaping from the geopressured part of the crust into the overlying hydrostatic realm. There is no fluid inclusion evidence that this pressure drop resulted in fluid immiscibility of the hydrothermal fluids. Fluid inclusion evidence suggests that the north-south veins formed at a paleodepth of ~8 km, whereas the east-west veins appear to have formed at ~10 to 11 km below surface, confirming previous inferences that the NE-dipping Grass Valley reverse fault accommodated a large displacement. The findings of the study at Grass Valley have significant implications for the model for orogenic gold deposits, as the reconstruction of the paragenetic relationships provides evidence for the occurrence of two discrete events of gold introduction that occurred at different conditions during the evolution of the hydrothermal system.

","language":"English","publisher":"Society of Economic Geologists","doi":"10.5382/econgeo.4794","usgsCitation":"Taylor, R., Monecke, T., Reynolds, T.J., and Monecke, J., 2021, Paragenesis of an orogenic gold deposit: New insights on mineralizing processes at the Grass Valley District, California: Economic Geology, v. 116, no. 2, p. 323-356, https://doi.org/10.5382/econgeo.4794.","productDescription":"34 p.","startPage":"323","endPage":"356","ipdsId":"IP-112775","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":385250,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Grass Valley district","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.16845703125,\n 36.99377838872517\n ],\n [\n -118.63037109375,\n 37.622933594900864\n ],\n [\n -120.05859375,\n 39.223742741391305\n ],\n [\n -120.201416015625,\n 40.85537053192494\n ],\n [\n -122.40966796874999,\n 40.95501133048621\n ],\n [\n -122.11303710937499,\n 39.62261494094297\n ],\n [\n -121.234130859375,\n 37.96152331396614\n ],\n [\n -120.16845703125,\n 36.99377838872517\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"116","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Taylor, Ryan D. 0000-0002-8845-5290","orcid":"https://orcid.org/0000-0002-8845-5290","contributorId":201948,"corporation":false,"usgs":true,"family":"Taylor","given":"Ryan D.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":814576,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Monecke, Thomas","contributorId":210730,"corporation":false,"usgs":false,"family":"Monecke","given":"Thomas","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":814577,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reynolds, T. James","contributorId":257560,"corporation":false,"usgs":false,"family":"Reynolds","given":"T.","email":"","middleInitial":"James","affiliations":[{"id":39908,"text":"FLUID INC.","active":true,"usgs":false}],"preferred":false,"id":814578,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Monecke, Jochen","contributorId":237834,"corporation":false,"usgs":false,"family":"Monecke","given":"Jochen","email":"","affiliations":[{"id":47621,"text":"Institute of Theoretical Physics, TU Bergakademie Freiberg, Leipziger Strae 23, 09596 Freiberg, Germany","active":true,"usgs":false}],"preferred":false,"id":814579,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70226917,"text":"70226917 - 2021 - Cloud water interception in Hawai‘i: Developing capacity to characterize the spatial patterns and effects on water and ecological processes responses in Hawai‘i","interactions":[],"lastModifiedDate":"2021-12-21T15:26:52.456702","indexId":"70226917","displayToPublicDate":"2021-03-01T09:21:03","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":9958,"text":"Final Technical Report","active":true,"publicationSubtype":{"id":1}},"title":"Cloud water interception in Hawai‘i: Developing capacity to characterize the spatial patterns and effects on water and ecological processes responses in Hawai‘i","docAbstract":"Cloud-water interception (CWI) is the process by which fog or cloud water droplets are captured and accumulate on the leaves and branches of plants, some of which drips to the ground. Prior studies in Hawai'i indicate that CWI is highly variable and can contribute substantially to total precipitation. In this study, we monitored CWI and other processes at five mountain field sites on the Islands of Oʻahu, Maui, and Hawaiʻi to explore how CWI (1) varies with different climate and vegetation characteristics, (2) affects plant water use and growth, and (3) contributes to water resources.\nResults show that annual CWI varied from 158 to 910 mm, accounting for 3-34% of total water input at individual sites. This large variation was caused by differences in the quantity of cloud water, wind speed, and vegetation structure between sites. We developed a model to predict CWI using both climatic and forest canopy characteristics. On average, the model underestimated annual CWI by 18%, but reproduced the site differences relatively well. Plant water use decreased during periods of fog events mainly because of associated higher humidity. This new CWI model can be used to assess impacts of climate and land cover change on CWI and provide valuable information for resource management in Hawai‘i, which was not previously possible.\nAt one field site, we explored the impacts of fog water on hydrological and ecological processes. Fog effects on native plant growth were indirect, primarily buffering effects of solar radiation. Removal of grass allowed natural regeneration of seedlings but did not alter soil moisture values. A soil data-collection program was initiated to help evaluate the role CWI has in providing moisture for plants, reducing wildfire risk within the fog zone, and contributing to groundwater recharge to aquifers that supply drinking water and groundwater discharge to streams.","largerWorkTitle":"Pacific Island Climate Adaptation Science Center Final Technical Report","language":"English","publisher":"Climate Adaptation Science Centers","usgsCitation":"Tseng, H., Fortini, L., Mair, A., Kagawa-Viviani, A., Yelenik, S.G., Miyazawa, Y., Nullet, M.A., Kennedy, J., DeLay, J., Leopold, C., and Giambelluca, T., 2021, Cloud water interception in Hawai‘i: Developing capacity to characterize the spatial patterns and effects on water and ecological processes responses in Hawai‘i: Final Technical Report, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-132954","costCenters":[{"id":522,"text":"Pacific Islands Climate Science Center","active":true,"usgs":true},{"id":525,"text":"Pacific 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Alan 0000-0003-0302-6647 dmair@usgs.gov","orcid":"https://orcid.org/0000-0003-0302-6647","contributorId":4975,"corporation":false,"usgs":true,"family":"Mair","given":"Alan","email":"dmair@usgs.gov","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828777,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kagawa-Viviani, Aurora","contributorId":220317,"corporation":false,"usgs":false,"family":"Kagawa-Viviani","given":"Aurora","email":"","affiliations":[{"id":39036,"text":"University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":828778,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yelenik, Stephanie G. 0000-0002-9011-0769","orcid":"https://orcid.org/0000-0002-9011-0769","contributorId":256836,"corporation":false,"usgs":false,"family":"Yelenik","given":"Stephanie","email":"","middleInitial":"G.","affiliations":[{"id":51875,"text":"formerly U.S. Geological Survey; currently Rocky Mountain Research Station, U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":828779,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miyazawa, Yoshiyuki","contributorId":214590,"corporation":false,"usgs":false,"family":"Miyazawa","given":"Yoshiyuki","email":"","affiliations":[{"id":39036,"text":"University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":828780,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nullet, Michael A","contributorId":214588,"corporation":false,"usgs":false,"family":"Nullet","given":"Michael","email":"","middleInitial":"A","affiliations":[{"id":39036,"text":"University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":828781,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kennedy, Joseph 0000-0002-6608-2366","orcid":"https://orcid.org/0000-0002-6608-2366","contributorId":203317,"corporation":false,"usgs":true,"family":"Kennedy","given":"Joseph","email":"","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828782,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"DeLay, John","contributorId":270226,"corporation":false,"usgs":false,"family":"DeLay","given":"John","affiliations":[{"id":56117,"text":"UH Honolulu Community College","active":true,"usgs":false}],"preferred":false,"id":828783,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Leopold, Christina 0000-0003-0499-3196","orcid":"https://orcid.org/0000-0003-0499-3196","contributorId":178961,"corporation":false,"usgs":false,"family":"Leopold","given":"Christina","affiliations":[],"preferred":false,"id":828784,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Giambelluca, Thomas 0000-0002-6798-3780","orcid":"https://orcid.org/0000-0002-6798-3780","contributorId":212176,"corporation":false,"usgs":false,"family":"Giambelluca","given":"Thomas","email":"","affiliations":[{"id":38449,"text":"University of Hawai‘i at Mānoa","active":true,"usgs":false}],"preferred":false,"id":828785,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70237070,"text":"70237070 - 2021 - Summer Diet of Juvenile Lake Sturgeon Reintroduced into the Genesee and St. Regis Rivers, New York USA","interactions":[],"lastModifiedDate":"2022-09-29T14:25:02.9975","indexId":"70237070","displayToPublicDate":"2021-03-01T09:16:39","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Summer Diet of Juvenile Lake Sturgeon Reintroduced into the Genesee and St. Regis Rivers, New York USA","docAbstract":"

The restoration of threatened species involves understanding multiple aspects of the life history and ecology of the target species. One important consideration in the restoration of threatened species is feeding ecology. We examined the summer diet of reintroduced juvenile lake sturgeon (Acipenser fulvescens) in the Genesee (n = 119, ages 1 and 2) and the St. Regis rivers (n = 40, ages 1, 2, 5, 6, and 7) of New York State, USA, in the summer of 2005. The most common taxa consumed were Diptera (88% of prey biomass) in the Genesee River and Ephemeroptera (35% of prey biomass) and Diptera (29%) in the St. Regis River. Diptera: (Chironomidae) was the major prey taxon in both benthic communities. Selectivity analysis showed a positive selection of Diptera by Genesee River lake sturgeon and an avoidance of Diptera by St. Regis River lake sturgeon. The St. Regis River lake sturgeon showed avoidance of Coleoptera, but positive selection of Ephemeroptera, Trichoptera, and Oligochaeta. Results indicate that the reintroduced juvenile lake sturgeon are growing and successfully finding prey in these two rivers and appear to actively select specific prey types.

","language":"English","publisher":"Wiley","doi":"10.1111/jai.14205","usgsCitation":"Dittman, D.E., and Chalupnicki, M., 2021, Summer Diet of Juvenile Lake Sturgeon Reintroduced into the Genesee and St. Regis Rivers, New York USA: Journal of Applied Ichthyology, v. 37, no. 4, p. 507-513, https://doi.org/10.1111/jai.14205.","productDescription":"7 p.","startPage":"507","endPage":"513","ipdsId":"IP-117516","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":453271,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jai.14205","text":"Publisher Index Page"},{"id":407595,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Genesee River, St. Regis River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.60639190673828,\n 43.26020603533182\n ],\n [\n -77.61497497558594,\n 43.25020423714625\n ],\n [\n -77.62321472167969,\n 43.23419794321918\n ],\n [\n -77.62081146240234,\n 43.22819449883485\n ],\n [\n -77.6187515258789,\n 43.22018898644747\n ],\n [\n -77.62767791748047,\n 43.214684586861964\n ],\n [\n -77.63076782226562,\n 43.20917969039356\n ],\n [\n -77.63042449951172,\n 43.203924552979586\n ],\n [\n -77.62390136718749,\n 43.197167282501276\n ],\n [\n -77.63042449951172,\n 43.189408012022\n ],\n [\n -77.62493133544922,\n 43.18565317214177\n ],\n [\n -77.61737823486328,\n 43.19416381095764\n ],\n [\n -77.61737823486328,\n 43.20042087652124\n ],\n [\n -77.62218475341797,\n 43.205426067009086\n ],\n [\n -77.62218475341797,\n 43.21068107507132\n ],\n [\n -77.61222839355469,\n 43.21743684876544\n ],\n [\n -77.61428833007812,\n 43.23444807390198\n ],\n [\n -77.61119842529297,\n 43.239450471958456\n ],\n [\n -77.6084518432617,\n 43.248203680382346\n ],\n [\n -77.60124206542969,\n 43.257205668363206\n ],\n [\n -77.60639190673828,\n 43.26020603533182\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.65827941894531,\n 44.9992814834549\n ],\n [\n -74.66239929199219,\n 44.984713498441046\n ],\n [\n -74.67681884765624,\n 44.9754851926527\n ],\n [\n -74.67681884765624,\n 44.96576958192208\n ],\n [\n -74.68849182128906,\n 44.96382626228214\n ],\n [\n -74.72694396972656,\n 44.932724194996155\n ],\n [\n -74.75234985351562,\n 44.9249460449279\n ],\n [\n -74.78118896484375,\n 44.909386584900034\n ],\n [\n -74.77981567382812,\n 44.89917339957239\n ],\n [\n -74.76676940917969,\n 44.89382291168926\n ],\n [\n -74.78462219238281,\n 44.875822162471586\n ],\n [\n -74.77638244628906,\n 44.8665763456234\n ],\n [\n -74.74754333496092,\n 44.89528218503055\n ],\n [\n -74.75166320800781,\n 44.90063253713748\n ],\n [\n -74.76539611816406,\n 44.90500972765334\n ],\n [\n -74.74342346191406,\n 44.91570812366967\n ],\n [\n -74.71321105957031,\n 44.921056574907226\n ],\n [\n -74.68025207519531,\n 44.953622754128446\n ],\n [\n -74.66239929199219,\n 44.959939425508466\n ],\n [\n -74.65965270996094,\n 44.97062759301016\n ],\n [\n -74.65278625488281,\n 44.9681986388968\n ],\n [\n -74.63905334472656,\n 44.9992814834549\n ],\n [\n -74.65827941894531,\n 44.9992814834549\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"37","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Dittman, Dawn E. 0000-0002-0711-3732 ddittman@usgs.gov","orcid":"https://orcid.org/0000-0002-0711-3732","contributorId":2762,"corporation":false,"usgs":true,"family":"Dittman","given":"Dawn","email":"ddittman@usgs.gov","middleInitial":"E.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":853241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chalupnicki, Marc 0000-0002-3792-9345","orcid":"https://orcid.org/0000-0002-3792-9345","contributorId":242991,"corporation":false,"usgs":true,"family":"Chalupnicki","given":"Marc","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":853242,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70219047,"text":"70219047 - 2021 - Characterization of deep-sea coral and sponge communities in Greater Farallones National Marine Sanctuary: Point Arena South Essential Fish Habitat Conservation Area and New Amendment 28 Areas","interactions":[],"lastModifiedDate":"2021-03-22T14:00:40.139087","indexId":"70219047","displayToPublicDate":"2021-03-01T08:54:49","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":7778,"text":"National Marine Sactuaries Conservation Series","active":true,"publicationSubtype":{"id":1}},"title":"Characterization of deep-sea coral and sponge communities in Greater Farallones National Marine Sanctuary: Point Arena South Essential Fish Habitat Conservation Area and New Amendment 28 Areas","docAbstract":"

This report summarizes samples collected during a remotely operated vehicle (ROV) cruise conducted in October 2019 on board E/V Nautilus. Areas sampled in Greater Farallones National Marine Sanctuary included areas proposed for fisheries management zoning in the Point Arena South (PAS) Essential Fish Habitat Conservation Area (EFH). Dive planning targeted habitats and biological communities of corals, sponges, and fishes in relation to the new, 2020 configuration of PAS EFH (hereafter referred to as PAS), which includes areas once closed to commercial bottom trawling and now opened to bottom trawling, once opened to bottom trawling and now closed, or that remain closed to commercial bottom trawling. Particular interest was given to enumerating deep-sea corals and sponges (DSCS) in these areas as they are long-lived, slow-growing species that are vulnerable to impacts from bottom trawling. Fish species were also enumerated. These data provide the most recent assessment and characterization for a portion of these areas before the final ruling on Amendment 28 went into effect on January 1, 2020 (50 C.F.R. part 660).

A total of seven sponge specimens were collected on this mission, some of which could potentially be new species, such as the large yellow ‘plate’-shaped sponge and the ‘palm frond’ morphology of the predatory sponge Asbestopluma, documented on both dives. Six coral collections were made, including three types of red Swiftia sp. gorgonians (two had fan-shaped morphology and one had branched morphology) with different polyp colors. A high diversity of fishes, particularly groundfish, were documented across the entire PAS area.

The findings from this cruise will be provided to NOAA’s National Marine Fisheries Service to help them identify biologically complex areas of the seafloor that are most sensitive to bottom trawling and aid in the ongoing management of this designated essential fish habitat conservation zone. Habitat data from these surveys will be used to confirm substrate prediction models that can be used to predict DSCS habitats where there is a dearth of visual observations.

","language":"English","publisher":"NOAA","usgsCitation":"Graiff, K., Roletto, J., Tezak, S., Williams, G.E., and Cochrane, G.R., 2021, Characterization of deep-sea coral and sponge communities in Greater Farallones National Marine Sanctuary: Point Arena South Essential Fish Habitat Conservation Area and New Amendment 28 Areas: National Marine Sactuaries Conservation Series, iv, 42 p.","productDescription":"iv, 42 p.","ipdsId":"IP-122453","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":384541,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Greater Farallones National Marine Sanctuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.34075927734375,\n 38.55997877925585\n ],\n [\n -123.67309570312499,\n 38.87392853923629\n ],\n [\n -123.75274658203126,\n 38.97008658346543\n ],\n [\n -124.00680541992188,\n 38.92522904714054\n ],\n [\n -123.71429443359375,\n 38.51271370850396\n ],\n [\n -123.34075927734375,\n 38.55997877925585\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Graiff, Kaitlin","contributorId":255549,"corporation":false,"usgs":false,"family":"Graiff","given":"Kaitlin","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":812559,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roletto, Jan","contributorId":152297,"corporation":false,"usgs":false,"family":"Roletto","given":"Jan","email":"","affiliations":[{"id":18902,"text":"Gulf of the Farallones National Marine Sanctuary","active":true,"usgs":false}],"preferred":false,"id":812560,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tezak, Sage","contributorId":255550,"corporation":false,"usgs":false,"family":"Tezak","given":"Sage","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":812561,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Gary E.","contributorId":198924,"corporation":false,"usgs":false,"family":"Williams","given":"Gary","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":812562,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cochrane, Guy R. 0000-0002-8094-4583 gcochrane@usgs.gov","orcid":"https://orcid.org/0000-0002-8094-4583","contributorId":2870,"corporation":false,"usgs":true,"family":"Cochrane","given":"Guy","email":"gcochrane@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":812563,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70218744,"text":"70218744 - 2021 - Avoidance of cold-, cool-, and warm-water fishes to Zequanox® exposure","interactions":[],"lastModifiedDate":"2021-06-01T17:47:28.644424","indexId":"70218744","displayToPublicDate":"2021-03-01T08:25:15","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Avoidance of cold-, cool-, and warm-water fishes to Zequanox® exposure","docAbstract":"

Zequanox® is a biopesticide registered by the U.S. Environmental Protection Agency (USEPA) and the Canadian Pest Management Regulatory Agency for controlling dreissenid mussels with demonstrated selective toxicity. However, some research has indicated that Zequanox may impact the body condition and survival of some non-target species. We assessed avoidance behaviors of two species of cold-, cool-, and warm-water fishes to Zequanox at the maximum concentration allowed by the USEPA label (100 mg/L as active ingredient). Naïve, juvenile fish (n = 30 per species) were individually observed in a two-flume choice tank through which Zequanox-treated and untreated water simultaneously flowed in an unobstructed arena. Individual fish were observed during an untreated control period (20 min) and two Zequanox-exposure periods (20 min each). Treatment was alternated between arena sides to account for potential side bias in the test subjects. Positional data were collected and tabulated in real time with EthoVision® XT software. Zequanox concentrations and water quality properties (pH, dissolved oxygen, temperature, and specific conductance) were monitored during each trial. Analysis of treatment response was performed using a contrast within linear mixed-effects models. Our results indicate that Brook Trout, Lake Trout, and Bluegill avoided Zequanox-treated water, Yellow Perch were indifferent to Zequanox-treated water, and Lake Sturgeon and Fathead Minnow were attracted to Zequanox-treated water. These results combined with existing species sensitivity literature may help inform resource managers of potential treatment-related risks.

","language":"English","publisher":"Regional Euro-Asian Biological Invasions Centre - REABIC","doi":"10.3391/mbi.2021.12.1.07","usgsCitation":"Barbour, M., Luoma, J.A., Severson, T.J., Wise, J.K., and Bennie, B., 2021, Avoidance of cold-, cool-, and warm-water fishes to Zequanox® exposure: Management of Biological Invasions, v. 12, no. 1, p. 96-107, https://doi.org/10.3391/mbi.2021.12.1.07.","productDescription":"12 p.","startPage":"96","endPage":"107","ipdsId":"IP-111883","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":453273,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://doi.org/10.3391/mbi.2021.12.1.07","text":"Publisher Index Page"},{"id":436481,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BWGW8F","text":"USGS data release","linkHelpText":"Avoidance behavior of cold-, cool-, and warmwater fish exposed to Zequanox in a two-choice preference chamber, data release"},{"id":385080,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Barbour, Matthew 0000-0002-0095-9188 mbarbour@usgs.gov","orcid":"https://orcid.org/0000-0002-0095-9188","contributorId":195580,"corporation":false,"usgs":true,"family":"Barbour","given":"Matthew","email":"mbarbour@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":811580,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luoma, James A. 0000-0003-3556-0190 jluoma@usgs.gov","orcid":"https://orcid.org/0000-0003-3556-0190","contributorId":4449,"corporation":false,"usgs":true,"family":"Luoma","given":"James","email":"jluoma@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":811581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Severson, Todd J. 0000-0001-5282-3779 tseverson@usgs.gov","orcid":"https://orcid.org/0000-0001-5282-3779","contributorId":4749,"corporation":false,"usgs":true,"family":"Severson","given":"Todd","email":"tseverson@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":811582,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wise, Jeremy K. 0000-0003-0184-6959 jwise@usgs.gov","orcid":"https://orcid.org/0000-0003-0184-6959","contributorId":5009,"corporation":false,"usgs":true,"family":"Wise","given":"Jeremy","email":"jwise@usgs.gov","middleInitial":"K.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":811583,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bennie, Barbara","contributorId":257430,"corporation":false,"usgs":false,"family":"Bennie","given":"Barbara","email":"","affiliations":[],"preferred":false,"id":814234,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70240429,"text":"70240429 - 2021 - The influence of species life history and distribution characteristics on species responses to habitat fragmentation in an urban landscape","interactions":[],"lastModifiedDate":"2023-02-07T14:18:23.937206","indexId":"70240429","displayToPublicDate":"2021-03-01T08:12:07","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The influence of species life history and distribution characteristics on species responses to habitat fragmentation in an urban landscape","docAbstract":"
  1. Fragmentation within urbanized environments often leads to a loss of native species diversity; however, variation exists in responses among-species and among-populations within species.
  2. We aimed to identify patterns in species biogeography in an urbanized landscape to understand anthropogenic effects on vertebrate communities and identify species that are more sensitive or resilient to landscape change.
  3. We investigated patterns in species richness and species responses to fragmentation in southern Californian small vertebrate communities using multispecies occupancy models and determined factors associated with overall commonness and sensitivity to patch size for 45 small vertebrate species both among and within remaining non-developed patches.
  4. In general, smaller patches had fewer species, with amphibian species richness being particularly sensitive to patch size effects. Mammals were generally more common, occurring both in a greater proportion of patches and a higher proportion of the sites within occupied patches. Alternatively, amphibians were generally restricted to larger patches but were more ubiquitous within smaller patches when occupied. Species range size was positively correlated with how common a species was across and within patches, even when controlling for only patches that fell within a species' range. We found sensitivity to patch size was greater for more fecund species and depended on where the patch occurred within a species' range. While all taxa were more likely to occur in patches in the warmer portions of their ranges, amphibians and mammals were more sensitive to fragmentation in these warmer areas as compared to the rest of their ranges. Similarly, amphibians occurred at a smaller proportion of sites within patches in drier portions of their ranges. Mammals occurred at a higher proportion of sites that were also in drier portions of their range while reptiles did not differ in their sensitivity to patch size by range position.
  5. We demonstrate that taxonomy, life history, range size and range position can predict commonness and sensitivity of species across this highly fragmented yet biodiverse landscape. The impacts of fragmentation on species communities within an urban landscape depend on scale, with differences emerging among and within species and populations.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.13403","usgsCitation":"Amburgey, S.M., Miller, D.A., Rochester, C.J., Delaney, K.S., Riley, S., Brehme, C.S., Hathaway, S.A., and Fisher, R., 2021, The influence of species life history and distribution characteristics on species responses to habitat fragmentation in an urban landscape: Journal of Animal Ecology, v. 90, no. 3, p. 685-697, https://doi.org/10.1111/1365-2656.13403.","productDescription":"13 p.","startPage":"685","endPage":"697","ipdsId":"IP-124106","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":436482,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MTFKFZ","text":"USGS data release","linkHelpText":"Species Observations from Pitfall Trap Arrays, Species Pool Matrices, and Patch Locations in Southern California from 1995-2015"},{"id":412810,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.72211886515316,\n 34.581785024512584\n ],\n [\n -120.72211886515316,\n 32.609639434552875\n ],\n [\n -116.05230268155321,\n 32.609639434552875\n ],\n [\n -116.05230268155321,\n 34.581785024512584\n ],\n [\n -120.72211886515316,\n 34.581785024512584\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"90","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Amburgey, Staci M.","contributorId":152622,"corporation":false,"usgs":false,"family":"Amburgey","given":"Staci","email":"","middleInitial":"M.","affiliations":[{"id":12754,"text":"Penn State University Altoona","active":true,"usgs":false}],"preferred":false,"id":863752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, David A. W.","contributorId":126732,"corporation":false,"usgs":false,"family":"Miller","given":"David","email":"","middleInitial":"A. W.","affiliations":[{"id":5039,"text":"Department of Environment, Land, and Infrastructure Engineering, Politecnico di Torino, Torino, Italy","active":true,"usgs":false}],"preferred":false,"id":863753,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rochester, Carlton J. 0000-0002-0625-4496","orcid":"https://orcid.org/0000-0002-0625-4496","contributorId":207764,"corporation":false,"usgs":true,"family":"Rochester","given":"Carlton","email":"","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":863754,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Delaney, Katy S.","contributorId":208328,"corporation":false,"usgs":false,"family":"Delaney","given":"Katy","email":"","middleInitial":"S.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":863755,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Riley, Seth P. D.","contributorId":113734,"corporation":false,"usgs":false,"family":"Riley","given":"Seth P. D.","affiliations":[{"id":6924,"text":"National Park Service, Upper Columbia Basin Network","active":true,"usgs":false}],"preferred":false,"id":863756,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brehme, Cheryl S. 0000-0001-8904-3354 cbrehme@usgs.gov","orcid":"https://orcid.org/0000-0001-8904-3354","contributorId":3419,"corporation":false,"usgs":true,"family":"Brehme","given":"Cheryl","email":"cbrehme@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":863757,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hathaway, Stacie A. 0000-0002-4167-8059","orcid":"https://orcid.org/0000-0002-4167-8059","contributorId":206793,"corporation":false,"usgs":true,"family":"Hathaway","given":"Stacie","email":"","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":863758,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fisher, Robert N. 0000-0002-2956-3240","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":51675,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":863759,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70218685,"text":"70218685 - 2021 - Comparing tree-ring based reconstructions of snowpack variability at different scales for the Navajo Nation","interactions":[],"lastModifiedDate":"2021-03-05T13:57:13.433738","indexId":"70218685","displayToPublicDate":"2021-03-01T07:53:55","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5567,"text":"Climate Services","active":true,"publicationSubtype":{"id":10}},"title":"Comparing tree-ring based reconstructions of snowpack variability at different scales for the Navajo Nation","docAbstract":"

Snowpack in the western U.S. is on the decline, largely attributed to increasing temperatures in the region. This is a critical issue for many Native American communities who disproportionately rely on local snow-fed water supplies. In light of a combined ongoing drought and limited climate information for the Navajo Nation, Navajo water managers face decision-making challenges complicated by past and future climate uncertainty. Developed in partnership with the Navajo Nation Water Management Branch, this study documents two snowpack reconstruction options to address Navajo concerns about the amount and variability of snowpack in the Chuska Mountains. We used two separate snowpack datasets with tree rings collected in northern Arizona to develop and evaluate reconstructions of Chuska snowpack and their potential relevance and usefulness to Navajo water managers’ decision-making. We found that both reconstructions skillfully estimated snowpack, though there were differences that may have meaningful implications for water managers. Major snow droughts occurred roughly once per century over the last 300 years, with droughts in 1728–1744, 1818–1834, 1950–1977, and 1999–2006. Extremely dry individual years in each reconstruction punctuate multi-year drought periods in a way that has not been recognized from instrumental data alone and that can have a large influence on the overall intensity of a given drought. The reconstruction that is most representative of Chuska snowpack has less explanatory power than the regionally representative reconstruction, but the Chuska reconstruction effectively captures snowpack extremes and snow drought timing unique to the Chuska Mountains, and may hold greater relevance to Navajo water management.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.cliser.2021.100213","usgsCitation":"Brice, R.L., Guiterman, C.H., Woodhouse, C.A., McClellan, C., and Sheppard, P., 2021, Comparing tree-ring based reconstructions of snowpack variability at different scales for the Navajo Nation: Climate Services, v. 22, 100213, 12 p., https://doi.org/10.1016/j.cliser.2021.100213.","productDescription":"100213, 12 p.","ipdsId":"IP-121757","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":453276,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.cliser.2021.100213","text":"Publisher Index Page"},{"id":384066,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, New Mexico","otherGeospatial":"Navajo Nation","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.697998046875,\n 35.15584570226544\n ],\n [\n -108.017578125,\n 35.15584570226544\n ],\n [\n -108.017578125,\n 37.03763967977139\n ],\n [\n -111.697998046875,\n 37.03763967977139\n ],\n [\n -111.697998046875,\n 35.15584570226544\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"22","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Brice, Rebecca Lynn 0000-0003-0023-5988","orcid":"https://orcid.org/0000-0003-0023-5988","contributorId":247868,"corporation":false,"usgs":true,"family":"Brice","given":"Rebecca","email":"","middleInitial":"Lynn","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":811350,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guiterman, Christopher H.","contributorId":190553,"corporation":false,"usgs":false,"family":"Guiterman","given":"Christopher","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":811351,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woodhouse, Connie A.","contributorId":187601,"corporation":false,"usgs":false,"family":"Woodhouse","given":"Connie","email":"","middleInitial":"A.","affiliations":[{"id":32413,"text":"University of Arizona, Tucson, AZ, USA, 85721","active":true,"usgs":false}],"preferred":false,"id":811352,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McClellan, Carlee","contributorId":254322,"corporation":false,"usgs":false,"family":"McClellan","given":"Carlee","email":"","affiliations":[{"id":51082,"text":"Navajo Nation Department of Water Resources, Water Management Branch","active":true,"usgs":false}],"preferred":false,"id":811353,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sheppard, Paul","contributorId":254323,"corporation":false,"usgs":false,"family":"Sheppard","given":"Paul","email":"","affiliations":[{"id":51083,"text":"Laboratory of Tree-Ring Research","active":true,"usgs":false}],"preferred":false,"id":811354,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70218484,"text":"ofr20211011 - 2021 - Rock gnome lichen (Gymnoderma lineare) monitoring assessment, southern Appalachian Mountains, 1983–2008","interactions":[],"lastModifiedDate":"2021-03-02T12:38:13.020853","indexId":"ofr20211011","displayToPublicDate":"2021-03-01T07:22:18","publicationYear":"2021","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":"2021-1011","displayTitle":"Rock Gnome Lichen (Gymnoderma lineare) Monitoring Assessment, Southern Appalachian Mountains, 1983–2008","title":"Rock gnome lichen (Gymnoderma lineare) monitoring assessment, southern Appalachian Mountains, 1983–2008","docAbstract":"

Rock gnome lichen (Gymnoderma lineare [Evans] Yoshimura and Sharp) was listed as a federally endangered species in 1995. It is endemic to the southern Appalachian Mountains, with most known populations occurring in North Carolina, where it grows on vertical rock faces in the fog zone above an elevation of 1,525 meters or in humid, deep river gorges. Threats to the species include recreational use of habitat by hikers, climbers and sightseers; collectors; changes in microclimate due to loss of Fraser fir (Abies fraseri) to the exotic pest balsam woolly adelgid (Adelges piceae); air pollution; and climate change. Quantified estimates of population size are limited in number and only are available from 1983 to 2008. They show that known rock gnome populations increased in number during this period and increased in size from 1996 to 2008. The period of increase coincided with negative trends in nitrogen and sulfur deposition, stable precipitation and streamflow, and a positive trend in air temperature. Populations may have been afforded greater protection from recreational activities and collectors during this time. Specific incidents of population decline were associated with a high streamflow event and loss of shade owing to a fallen Fraser fir. Although the outlook for rock gnome lichen seems to have improved through 2008, threats from climate change and increasing human activity likely are increasing.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211011","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Woodward, A., 2021, Rock gnome lichen (Gymnoderma lineare) monitoring assessment, southern Appalachian Mountains, 1983–2008: U.S. Geological Survey Open-File Report 2021–1011, 12 p., https://doi.org/10.3133/ofr20211011.","productDescription":"v, 12 p.","onlineOnly":"Y","ipdsId":"IP-120136","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":383693,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1011/coverthb.jpg"},{"id":383694,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1011/ofr20211011.pdf","text":"Report","size":"9.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021-1011"}],"country":"United States","state":"North Carolina","otherGeospatial":"Southern Appalachian Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.7542724609375,\n 35.429344044107154\n ],\n [\n -82.63916015625,\n 35.429344044107154\n ],\n [\n -82.63916015625,\n 36.02244668175846\n ],\n [\n -83.7542724609375,\n 36.02244668175846\n ],\n [\n -83.7542724609375,\n 35.429344044107154\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Forest and Rangeland Ecosystem Science Center
U.S. Geological Survey
777 NW 9th St., Suite 400
Corvallis, Oregon 97330

","tableOfContents":"","publishedDate":"2021-03-01","noUsgsAuthors":false,"publicationDate":"2021-03-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Woodward, Andrea 0000-0003-0604-9115 awoodward@usgs.gov","orcid":"https://orcid.org/0000-0003-0604-9115","contributorId":3028,"corporation":false,"usgs":true,"family":"Woodward","given":"Andrea","email":"awoodward@usgs.gov","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":811192,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70218831,"text":"70218831 - 2021 - The role of the U.S. Geological Survey in monitoring North Dakota’s environmental conditions","interactions":[],"lastModifiedDate":"2021-03-16T12:11:22.92428","indexId":"70218831","displayToPublicDate":"2021-03-01T07:09:29","publicationYear":"2021","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"title":"The role of the U.S. Geological Survey in monitoring North Dakota’s environmental conditions","docAbstract":"

No abstract available. 

","largerWorkType":{"id":25,"text":"Newsletter"},"largerWorkTitle":"North Dakota Climate Bulletin","language":"English","publisher":"North Dakota State Climate Office","usgsCitation":"Ryberg, K.R., 2021, The role of the U.S. Geological Survey in monitoring North Dakota’s environmental conditions, v. 15, no. 1, p. 11-14.","productDescription":"4 p.","startPage":"11","endPage":"14","ipdsId":"IP-127214","costCenters":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":384406,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":384399,"type":{"id":15,"text":"Index Page"},"url":"https://www.ndsu.edu/ndsco/climatesummaries/quarterlyclimatebulletin/"}],"country":"United States","state":"North 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Dakota\",\"nation\":\"USA \"}}]}","volume":"15","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ryberg, Karen R. 0000-0002-9834-2046 kryberg@usgs.gov","orcid":"https://orcid.org/0000-0002-9834-2046","contributorId":1172,"corporation":false,"usgs":true,"family":"Ryberg","given":"Karen","email":"kryberg@usgs.gov","middleInitial":"R.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":812339,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70224615,"text":"70224615 - 2021 - Eocene magma plumbing system beneath Cortez Hills Carlin-type gold deposit, Nevada: Is there a deep-seated pluton?","interactions":[],"lastModifiedDate":"2021-09-30T11:52:03.08599","indexId":"70224615","displayToPublicDate":"2021-03-01T06:48:18","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Eocene magma plumbing system beneath Cortez Hills Carlin-type gold deposit, Nevada: Is there a deep-seated pluton?","docAbstract":"

The magmatic-hydrothermal conceptual model for Carlin-type gold deposit genesis calls upon deep-seated Eocene plutons as the primary source of gold-bearing fluids. However, geophysical surveys, geologic mapping, drilling, geochronology, isotopic tracers, and fluid inclusion chemistry have returned ambiguous evidence for the existence of such plutons. The high-grade Cortez Hills gold deposit in northern Nevada hosts shallow, Eocene syn- and postmineralization intrusions, offering an ideal site to investigate the existence of a deep-seated pluton beneath the district. Here, major and trace element analyses of quartz-hosted melt inclusions from four Eocene rhyolite dikes cropping out within the Cortez Hills pit and results from independent thermobarometers provide a window into the subsurface Eocene magmatic plumbing system to test the existence of a deep-seated source pluton. Dissolved volatile contents, melt inclusion entrapment pressures, and thermodynamic phase equilibria indicate that dike magmas were sourced from ~4- to ≥9-km depth from a polybaric magma reservoir residing as a physically and geochemically interconnected crystal mush with extractable or eruptible magma pockets. Magmas ascended adiabatically (nearly isothermally), exsolving fluids, evolving modestly by fractional crystallization, while trapping quartz-hosted melt inclusions steadily from depth to subvolcanic levels where they were emplaced. These data represent the first unequivocal evidence for a deep-seated magma reservoir from which fluid-saturated magma emanated and released magmatic fluids beneath the Cortez district during gold mineralization. However, further investigation into the specific metallogenic potential and metal budget of parental magmas and the partitioning of gold between silicate melt and aqueous fluids will be necessary to provide evidence that exsolved magmatic fluids may have been gold bearing.

","language":"English","publisher":"Society of Economic Geologists","doi":"10.5382/econgeo.4821","usgsCitation":"Mercer, C.N., 2021, Eocene magma plumbing system beneath Cortez Hills Carlin-type gold deposit, Nevada: Is there a deep-seated pluton?: Economic Geology, v. 116, no. 2, p. 501-513, https://doi.org/10.5382/econgeo.4821.","productDescription":"13 p.","startPage":"501","endPage":"513","ipdsId":"IP-102054","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":390025,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Cortez Hills","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.68716430664061,\n 40.07281723396798\n ],\n [\n -116.53060913085936,\n 40.07281723396798\n ],\n [\n -116.53060913085936,\n 40.19356109815612\n ],\n [\n -116.68716430664061,\n 40.19356109815612\n ],\n [\n -116.68716430664061,\n 40.07281723396798\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"116","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mercer, Celestine N. 0000-0001-8359-4147 cmercer@usgs.gov","orcid":"https://orcid.org/0000-0001-8359-4147","contributorId":4006,"corporation":false,"usgs":true,"family":"Mercer","given":"Celestine","email":"cmercer@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":824284,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70220129,"text":"70220129 - 2021 - Preface to the Focus Section on the 2020 Intermountain West earthquakes","interactions":[],"lastModifiedDate":"2021-04-21T11:42:18.512601","indexId":"70220129","displayToPublicDate":"2021-03-01T06:39:33","publicationYear":"2021","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":"Preface to the Focus Section on the 2020 Intermountain West earthquakes","docAbstract":"

The Intermountain West region of the United States extends from the eastern margin of the Sierra Nevada and Cascade Mountains in the west to the Rocky Mountains in the east. The region is characterized by dextral shear along the eastern margin of the Sierra Nevada and nearly east-west extension in the Basin and Range. This region experienced four significant earthquake sequences in the first half of 2020. The most significant mainshocks were the 18 March 2020 Mw 5.7 earthquake north of Magna, Utah (a suburb of Salt Lake City), the 31 March 2020 Mw 6.5 earthquake northwest of Stanley, Idaho, the 15 May 2020 Mw 6.5 earthquake in the Monte Cristo Range, northwest of Tonopah, Nevada, and the 24 June 2020 Mw 5.8 earthquake near Lone Pine, California. The 15 articles appearing in this focus section explore timely and important topics associated with these sequences, including kinematic rupture models, near-field ground motions, aftershock statistics, geologic observations, seismic hazard implications, and seismotectonics. It is noteworthy that the efforts to record and characterize these earthquake sequences took place during travel and work restrictions necessitated by the COVID-19 pandemic.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220210001","usgsCitation":"Gold, R.D., Bormann, J., and Koper, K.D., 2021, Preface to the Focus Section on the 2020 Intermountain West earthquakes: Seismological Research Letters, v. 92, no. 2A, 4 p., https://doi.org/10.1785/0220210001.","productDescription":"4 p.","ipdsId":"IP-125613","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":385240,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"92","issue":"2A","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gold, Ryan D. 0000-0002-4464-6394 rgold@usgs.gov","orcid":"https://orcid.org/0000-0002-4464-6394","contributorId":3883,"corporation":false,"usgs":true,"family":"Gold","given":"Ryan","email":"rgold@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":814551,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bormann, Jayne","contributorId":257546,"corporation":false,"usgs":false,"family":"Bormann","given":"Jayne","affiliations":[{"id":52053,"text":"Nevada Seismological Laboratory, University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":814552,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koper, Keith D.","contributorId":175489,"corporation":false,"usgs":false,"family":"Koper","given":"Keith","email":"","middleInitial":"D.","affiliations":[{"id":27579,"text":"Swiss Federal Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":814553,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70231690,"text":"70231690 - 2021 - Unmixing multiple metamorphic muscovite age populations with powder X-ray diffraction and 40Ar/39Ar analysis","interactions":[],"lastModifiedDate":"2022-05-20T11:39:03.870966","indexId":"70231690","displayToPublicDate":"2021-03-01T06:35:31","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":732,"text":"American Journal of Science","active":true,"publicationSubtype":{"id":10}},"title":"Unmixing multiple metamorphic muscovite age populations with powder X-ray diffraction and 40Ar/39Ar analysis","docAbstract":"

A combination of modal estimates from powder X-ray diffraction (XRD) experiments and argon isotopic data shows that muscovite 40Ar/39Ar total gas age correlates with muscovite composition near the retrograde Bald Mountain shear zone (BMSZ) in Claremont, New Hampshire, and that the shear zone was active at ∼245 Ma. Petrologic study demonstrates that chemical disequilibrium is preserved in muscovite grains in these samples. The recognition of this preservation is critical to the interpretation of the 40Ar/39Ar step-heating experiments, which never produce age plateaus and yield spectra with steps that range in age by ∼20 Ma. Petrographic, compositional, and crystallographic data all indicate that the age spectra reflect dissolution of metastable Na-rich muscovite and precipitation of stable Na-poor muscovite associated with deformation in the BMSZ.Comparison of whole rock and muscovite concentrate XRD patterns from individual samples demonstrates that the mineral separation process can fractionate these muscovite populations. Therefore, four muscovite concentrates of varying magnetic susceptibility were prepared from a single hand sample, analyzed by XRD, and dated. These four splits define a mixing line that resolves end-member ages of 244.5 ± 4.2 Ma and 302.5 ± 12.5 Ma (1σ). Although the ages are imprecise, the petrologically supported conclusion that these schists preserve two discrete ages is distinct from an interpretation that the spectra reflect cooling through closure at ∼270 Ma, as might be concluded in the absence of petrologic characterization. The XRD results also demonstrate that, even well above anchizone conditions, petrologic information relevant to 40Ar/39Ar dating is observable in subtle variations in the crystallography of muscovite grains.

","language":"English","publisher":"American Journal of Science","doi":"10.2475/03.2021.02","usgsCitation":"McAleer, R.J., Bish, D., Kunk, M., Valley, P.M., Walsh, G., and Wintsch, R., 2021, Unmixing multiple metamorphic muscovite age populations with powder X-ray diffraction and 40Ar/39Ar analysis: American Journal of Science, v. 321, no. 3, p. 332-364, https://doi.org/10.2475/03.2021.02.","productDescription":"33 p.","startPage":"332","endPage":"364","ipdsId":"IP-118967","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":400851,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Hampshire","otherGeospatial":"Claremont","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.421875,\n 43.31718491566705\n ],\n [\n -72.24884033203125,\n 43.31718491566705\n ],\n [\n -72.24884033203125,\n 43.432977075795606\n ],\n [\n -72.421875,\n 43.432977075795606\n ],\n [\n -72.421875,\n 43.31718491566705\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"321","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-05-05","publicationStatus":"PW","contributors":{"authors":[{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":843433,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bish, David","contributorId":291943,"corporation":false,"usgs":false,"family":"Bish","given":"David","affiliations":[{"id":37145,"text":"Indiana University","active":true,"usgs":false}],"preferred":false,"id":843434,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kunk, Michael J. 0000-0003-4424-7825","orcid":"https://orcid.org/0000-0003-4424-7825","contributorId":291942,"corporation":false,"usgs":false,"family":"Kunk","given":"Michael J.","affiliations":[{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":843435,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Valley, Peter M. 0000-0002-9957-0403 pvalley@usgs.gov","orcid":"https://orcid.org/0000-0002-9957-0403","contributorId":4809,"corporation":false,"usgs":true,"family":"Valley","given":"Peter","email":"pvalley@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":843436,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walsh, Gregory J. 0000-0003-4264-8836","orcid":"https://orcid.org/0000-0003-4264-8836","contributorId":265307,"corporation":false,"usgs":true,"family":"Walsh","given":"Gregory J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":843437,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wintsch, Robert","contributorId":291944,"corporation":false,"usgs":false,"family":"Wintsch","given":"Robert","affiliations":[{"id":13546,"text":"Wesleyan University","active":true,"usgs":false}],"preferred":false,"id":843438,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70262422,"text":"70262422 - 2021 - The genetic composition of wild recruits in a recovering lake trout population in Lake Michigan","interactions":[],"lastModifiedDate":"2025-01-17T20:32:37.816965","indexId":"70262422","displayToPublicDate":"2021-03-01T00:00:00","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"The genetic composition of wild recruits in a recovering lake trout population in Lake Michigan","docAbstract":"

Strain performance evaluations are vital for developing successful fishery management and restoration strategies. Here, we utilized genotypes from 36 microsatellites to investigate hatchery strain contribution to collections of naturally produced lake trout (Salvelinus namaycush) sampled across Lake Michigan. Strain composition varied by area, with recoveries of Seneca Lake strain exceeding expectations based on stocking records in northern Lake Michigan but performing similarly to other strains in southern Lake Michigan. Interstrain hybrids were present at moderate frequencies similar to expectations based on simulations, suggesting that strains are interbreeding randomly. We hypothesize that the superior performance of the Seneca Lake strain in northern Lake Michigan is partially due to adaptive advantages that facilitate increased survival in areas with high mortality from sea lamprey (Petromyzon marinus) predation, such as northern Lake Michigan. However, when this selective pressure is lessened, the Seneca Lake strain performs similarly to other strains. Our study demonstrates that strain performance can vary across small spatial scales and illustrates the importance of conducting thorough strain evaluations to inform management and conservation.

","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2020-0072","usgsCitation":"Larson, W., Kornis, M., Turnquist, K., Bronte, C., Holey, M., S. Dale Hanson, Treska, T., and Stott, W., 2021, The genetic composition of wild recruits in a recovering lake trout population in Lake Michigan: Canadian Journal of Fisheries and Aquatic Sciences, v. 78, no. 3, p. 286-300, https://doi.org/10.1139/cjfas-2020-0072.","productDescription":"15 p.","startPage":"286","endPage":"300","ipdsId":"IP-117531","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":480764,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -87.7667444904358,\n 45.40752242438859\n ],\n [\n -87.92143062832137,\n 44.177449306420996\n ],\n [\n -88.29028758124349,\n 42.940747823525065\n ],\n [\n -88.05113007530815,\n 41.699747315481886\n ],\n [\n -86.44116921626345,\n 41.59527769642992\n ],\n [\n -85.9936111378925,\n 42.94092212399947\n ],\n [\n -86.15568612025434,\n 44.30117229837185\n ],\n [\n -84.57035066906786,\n 45.309637339506565\n ],\n [\n -84.95481454600835,\n 46.27927767660145\n ],\n [\n -86.5065882598793,\n 46.102466591922905\n ],\n [\n -87.7667444904358,\n 45.40752242438859\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"78","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Larson, Wesley A.","contributorId":349236,"corporation":false,"usgs":false,"family":"Larson","given":"Wesley A.","affiliations":[{"id":83462,"text":"NOAA, former CRU scientist","active":true,"usgs":false}],"preferred":false,"id":924161,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kornis, Matthew S.","contributorId":349237,"corporation":false,"usgs":false,"family":"Kornis","given":"Matthew S.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":924162,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turnquist, Keith N.","contributorId":349238,"corporation":false,"usgs":false,"family":"Turnquist","given":"Keith N.","affiliations":[{"id":33303,"text":"University of Wisconsin Stevens Point","active":true,"usgs":false}],"preferred":false,"id":924163,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bronte, Charles R.","contributorId":349239,"corporation":false,"usgs":false,"family":"Bronte","given":"Charles R.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":924164,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holey, Mark E.","contributorId":349240,"corporation":false,"usgs":false,"family":"Holey","given":"Mark E.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":924165,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"S. Dale Hanson","contributorId":349241,"corporation":false,"usgs":false,"family":"S. Dale Hanson","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":924166,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Treska, Theodore J.","contributorId":349242,"corporation":false,"usgs":false,"family":"Treska","given":"Theodore J.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":924167,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stott, Wendylee 0000-0002-5252-4901 wstott@usgs.gov","orcid":"https://orcid.org/0000-0002-5252-4901","contributorId":191249,"corporation":false,"usgs":true,"family":"Stott","given":"Wendylee","email":"wstott@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":924168,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70262197,"text":"70262197 - 2021 - Mixed-stock analysis in the age of genomics: Rapture genotyping enables evaluation of stock-specific exploitation in a freshwater fish population with weak genetic structure","interactions":[],"lastModifiedDate":"2025-01-16T14:39:33.330248","indexId":"70262197","displayToPublicDate":"2021-03-01T00:00:00","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1601,"text":"Evolutionary Applications","active":true,"publicationSubtype":{"id":10}},"title":"Mixed-stock analysis in the age of genomics: Rapture genotyping enables evaluation of stock-specific exploitation in a freshwater fish population with weak genetic structure","docAbstract":"Mixed-stock analyses using genetic markers have informed fisheries management in cases where strong genetic differentiation occurs among local spawning populations, yet many fisheries are supported by multiple spawning stocks that are weakly differentiated. Freshwater fisheries exemplify this problem, with many harvested populations supported by multiple stocks of young evolutionary age and that are isolated across small spatial scales. As a result, attempts to conduct genetic mixed-stock analyses of inland fisheries have often been unsuccessful. Advances in genomic sequencing now offer the ability to discriminate among populations with weak population structure, by providing the necessary resolution to conduct mixed-stock assignment among previously indistinguishable stocks. We demonstrate the use of genomic data to conduct a mixed-stock analysis of Lake Erie's commercial and recreational walleye (Sander vitreus) fisheries and estimate the relative harvest of weakly differentiated stocks (pairwise FST < 0.01). We used RAD-capture (Rapture) to sequence and genotype individuals at 12,081 loci that had been previously determined to be capable of discriminating between western and eastern basin stocks with 95% reassignment accuracy. An outcome not possible in the past with microsatellite markers. Genetic assignment of 1,075 fish harvested from recreational and commercial fisheries in the eastern basin indicated that western basin stocks constituted the majority of individuals harvested during peak walleye fishing season (July – September). Composition of harvest changed seasonally, with eastern basin fish comprising much of the early season harvest (May – June). Clear spatial structure in stock-specific harvest existed; more easterly sites contained more individuals of east basin origin than did westerly sites. Our study provides important stock contribution estimates for Lake Erie fishery management and demonstrates the power of genomic data to facilitate mixed-stock analysis in exploited fish populations with weak population structure or limited existing genetic resources.","language":"English","publisher":"Wiley","doi":"10.1111/eva.13209","usgsCitation":"Euclide, P., MacDougall, T., Robinson, J., Faust, M., Wilson, C., Chen, K., Marschall, E., Larson, W., and Ludsin, S., 2021, Mixed-stock analysis in the age of genomics: Rapture genotyping enables evaluation of stock-specific exploitation in a freshwater fish population with weak genetic structure: Evolutionary Applications, v. 14, p. 1403-1420, https://doi.org/10.1111/eva.13209.","productDescription":"18 p.","startPage":"1403","endPage":"1420","ipdsId":"IP-123728","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467253,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/eva.13209","text":"External Repository"},{"id":466430,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, New York, Ohio, Pennsylvania","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.92283643736553,\n 42.39179507562275\n ],\n [\n -83.61537738216629,\n 41.32610638842888\n ],\n [\n -81.8676036360458,\n 41.224638678509734\n ],\n [\n -78.67742205297884,\n 42.732057855200225\n ],\n [\n -80.92283643736553,\n 42.39179507562275\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","noUsgsAuthors":false,"publicationDate":"2021-03-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Euclide, Peter T.","contributorId":348469,"corporation":false,"usgs":false,"family":"Euclide","given":"Peter T.","affiliations":[{"id":7200,"text":"University of Wisconsin-Milwaukee","active":true,"usgs":false}],"preferred":false,"id":923467,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"MacDougall, Tom","contributorId":348471,"corporation":false,"usgs":false,"family":"MacDougall","given":"Tom","affiliations":[{"id":16762,"text":"Ontario Ministry of Natural Resources and Forestry","active":true,"usgs":false}],"preferred":false,"id":923469,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robinson, Jason M.","contributorId":348470,"corporation":false,"usgs":false,"family":"Robinson","given":"Jason M.","affiliations":[{"id":56930,"text":"New York DEC","active":true,"usgs":false}],"preferred":false,"id":923468,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Faust, Matthew D.","contributorId":348473,"corporation":false,"usgs":false,"family":"Faust","given":"Matthew D.","affiliations":[{"id":13589,"text":"Ohio DNR","active":true,"usgs":false}],"preferred":false,"id":923470,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilson, Chris C.","contributorId":348475,"corporation":false,"usgs":false,"family":"Wilson","given":"Chris C.","affiliations":[{"id":16762,"text":"Ontario Ministry of Natural Resources and Forestry","active":true,"usgs":false}],"preferred":false,"id":923471,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chen, Kuan-Yu","contributorId":348477,"corporation":false,"usgs":false,"family":"Chen","given":"Kuan-Yu","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":923472,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Marschall, Elizabeth A.","contributorId":348479,"corporation":false,"usgs":false,"family":"Marschall","given":"Elizabeth A.","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":923473,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Larson, Wesley 0000-0003-4473-3401 wlarson@usgs.gov","orcid":"https://orcid.org/0000-0003-4473-3401","contributorId":199509,"corporation":false,"usgs":true,"family":"Larson","given":"Wesley","email":"wlarson@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":923466,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ludsin, Stuart A.","contributorId":348481,"corporation":false,"usgs":false,"family":"Ludsin","given":"Stuart A.","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":923474,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70228583,"text":"70228583 - 2021 - Nest microclimates of Greater Sage-Grouse in a post-megafire landscape: does selection equate to success?","interactions":[],"lastModifiedDate":"2022-02-14T20:57:40.875769","indexId":"70228583","displayToPublicDate":"2021-02-28T14:49:52","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9101,"text":"Ornithological Applications","printIssn":"0010-5422","active":true,"publicationSubtype":{"id":10}},"title":"Nest microclimates of Greater Sage-Grouse in a post-megafire landscape: does selection equate to success?","docAbstract":"

Temperature at fine spatial scales is an important driver of nest site selection for many avian species during the breeding season and can influence nest success. Sagebrush (Artemisia spp.) communities have areas with high levels of vegetation heterogeneity and high thermal variation; however, fire removes vegetation that provides protection from predators and extreme environmental conditions. To examine the influence of microclimates on Greater Sage-Grouse (Centrocercus urophasianus) nest site selection and nest success in a fire affected landscape, we measured black bulb temperature (Tbb) and vegetation attributes (e.g. visual obstruction) at 3 spatial scales (i.e. nest bowl, microsite, and landscape) in unburned and burned areas. Nest bowls exhibited greater buffering of Tbb than both nearby microsites and the broader landscape. Notably, nest bowls were warmer in cold temperatures, and cooler in hot temperatures, than nearby microsites and the broader landscape, regardless of burn stage. Nest survival was higher for nests in unburned areas compared to nests in burned areas (unburned NS = 0.43, 95% CI: 0.33 to 0.54; burned NS = 0.24, 95% CI: 0.10 to 0.46). Amount of bare ground was negatively associated with nest survival, but effects diminished as the amount of bare ground reached very low levels. Shrub height and visual obstruction were positively associated with nest survival during the entire study period whereas, minimum Tbb had a weaker effect. Our findings demonstrate that thermoregulatory selection by Greater Sage-Grouse at nest sites had marginal effects on their nest survival. However, given that increases in vegetation structure (e.g. shrub height) provides thermal refuge and increases nest survival, vegetation remnants or regeneration in a post-fire landscape could be critical to Greater Sage-Grouse nesting ecology.

","language":"English","publisher":"Oxford","doi":"10.1093/ornithapp/duaa068","usgsCitation":"Anthony, C., Hagen, C., Dugger, K., and Elmore, R., 2021, Nest microclimates of Greater Sage-Grouse in a post-megafire landscape: does selection equate to success?: Ornithological Applications, v. 123, no. 1, 13 p., https://doi.org/10.1093/ornithapp/duaa068.","productDescription":"13 p.","ipdsId":"IP-118270","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":453281,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ornithapp/duaa068","text":"Publisher Index Page"},{"id":395938,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Nevada","otherGeospatial":"Trout Creek Mountains","volume":"123","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-02-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Anthony, Christopher R.","contributorId":276231,"corporation":false,"usgs":false,"family":"Anthony","given":"Christopher R.","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":834681,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hagen, Christian A.","contributorId":276232,"corporation":false,"usgs":false,"family":"Hagen","given":"Christian A.","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":834682,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dugger, Katie M. 0000-0002-4148-246X cdugger@usgs.gov","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":4399,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"cdugger@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":834680,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elmore, R. Dwayne","contributorId":276233,"corporation":false,"usgs":false,"family":"Elmore","given":"R. Dwayne","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":834683,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}