No abstract available.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/G49145C.1","usgsCitation":"Dorsey, R.J., Axen, G.J., Grove, M.J., Housen, B., Jefferson, G., McDougall-Reid, K., Murray, L., Oskin, M.E., Peryam, T., van Wijk, J.W., and Young, E., 2021, Redefining the age of the lower Colorado River, southwestern United States: Comment: Geology, v. 49, no. 9, e531, 1 p., https://doi.org/10.1130/G49145C.1.","productDescription":"e531, 1 p.","ipdsId":"IP-129160","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":450977,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g49145c.1","text":"Publisher Index Page"},{"id":420903,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"9","noUsgsAuthors":false,"publicationDate":"2021-09-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Dorsey, Rebecca J.","contributorId":167712,"corporation":false,"usgs":false,"family":"Dorsey","given":"Rebecca","email":"","middleInitial":"J.","affiliations":[{"id":24813,"text":"University of Oregan","active":true,"usgs":false}],"preferred":false,"id":883212,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Axen, Gary J.","contributorId":49040,"corporation":false,"usgs":true,"family":"Axen","given":"Gary","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":883213,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grove, Martin J.","contributorId":329751,"corporation":false,"usgs":false,"family":"Grove","given":"Martin","email":"","middleInitial":"J.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":883214,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Housen, Bernard","contributorId":30544,"corporation":false,"usgs":true,"family":"Housen","given":"Bernard","email":"","affiliations":[],"preferred":false,"id":883215,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jefferson, George","contributorId":329796,"corporation":false,"usgs":false,"family":"Jefferson","given":"George","affiliations":[],"preferred":false,"id":883333,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McDougall-Reid, Kristin 0000-0002-8788-3664","orcid":"https://orcid.org/0000-0002-8788-3664","contributorId":216211,"corporation":false,"usgs":true,"family":"McDougall-Reid","given":"Kristin","email":"","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":883216,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Murray, Lyndon","contributorId":329753,"corporation":false,"usgs":false,"family":"Murray","given":"Lyndon","email":"","affiliations":[{"id":78712,"text":"Colorado Desert District Stout Research Center","active":true,"usgs":false}],"preferred":false,"id":883217,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Oskin, Michael E.","contributorId":191806,"corporation":false,"usgs":false,"family":"Oskin","given":"Michael","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":883218,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Peryam, Tom","contributorId":329755,"corporation":false,"usgs":false,"family":"Peryam","given":"Tom","email":"","affiliations":[{"id":78713,"text":"Devon Energy Corporation, Oklahoma City","active":true,"usgs":false}],"preferred":false,"id":883219,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"van Wijk, Jolante W.","contributorId":329756,"corporation":false,"usgs":false,"family":"van Wijk","given":"Jolante","email":"","middleInitial":"W.","affiliations":[{"id":34868,"text":"New Mexico Institute of Mining and Technology","active":true,"usgs":false}],"preferred":false,"id":883220,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Young, Elaine","contributorId":296630,"corporation":false,"usgs":false,"family":"Young","given":"Elaine","email":"","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":883221,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70228199,"text":"70228199 - 2021 - Field methods for translocating female greater sage-grouse (Centrocercus urophasianus) with their broods","interactions":[],"lastModifiedDate":"2022-02-07T16:37:38.967004","indexId":"70228199","displayToPublicDate":"2021-09-01T10:05:11","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Field methods for translocating female greater sage-grouse (Centrocercus urophasianus) with their broods","title":"Field methods for translocating female greater sage-grouse (Centrocercus urophasianus) with their broods","docAbstract":"Greater sage-grouse (Centrocercus urophasianus) have experienced considerable range contraction and reduced abundance in response to habitat loss and degradation. Translocation is a conservation action that is often used to reintroduce extirpated populations or augment existing small populations. Translocations have had limited success in restoring viable populations of sage-grouse; a lack of success is attributed to long-distance post-release movements away from release sites, reduced survival, and lack of reproductive success of translocated individuals. Translocating female sage-grouse with their chicks (brood translocation) is a technique aimed at promoting breeding area fidelity and reproduction and may be beneficial to population restoration efforts. Furthermore, the ability to capture, relocate, and release individuals while minimizing translocation-induced loss increases the overall probability of restoration success. Accordingly, we developed a protocol to translocate female sage-grouse and their broods simultaneously, using a delayed-release system that included a custom release box and acclimation pen. We tested our protocol across 2 separate restoration projects in North Dakota and California during 2017–2019 with a total of 38 translocated females and 196 chicks. We successfully released 174/196 chicks (88.8%) from 32/38 (84.2%) broods. Our protocol builds on existing translocation methods used to translocate sage-grouse and will likely prove to be a critical technique in restoring sage-grouse populations.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.1199","usgsCitation":"Meyerpeter, M.B., Lazenby, K.D., Coates, P.S., Ricca, M.A., Mathews, S.R., Gardner, S.C., Dahlgren, D.K., and Delehanty, D.J., 2021, Field methods for translocating female greater sage-grouse (Centrocercus urophasianus) with their broods: Wildlife Society Bulletin, v. 45, no. 3, p. 529-537, https://doi.org/10.1002/wsb.1199.","productDescription":"9 p.","startPage":"529","endPage":"537","ipdsId":"IP-119078","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":489035,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wsb.1199","text":"Publisher Index Page"},{"id":395540,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, North Dakota, Wyoming","county":"Bowman County, Carbon County, Mono County, Slope County, Sweetwater County","otherGeospatial":"Parker Meadows","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.65347290039062,\n 38.07944663265489\n ],\n [\n -118.80752563476561,\n 38.07944663265489\n ],\n [\n -118.80752563476561,\n 38.484769753492536\n ],\n [\n -119.65347290039062,\n 38.484769753492536\n ],\n [\n -119.65347290039062,\n 38.07944663265489\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.23828125,\n 45.82114340079471\n ],\n [\n -102.12890625,\n 45.82114340079471\n ],\n [\n -102.12890625,\n 46.581518465658014\n ],\n [\n -104.23828125,\n 46.581518465658014\n ],\n [\n -104.23828125,\n 45.82114340079471\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.64355468749999,\n 41.0130657870063\n ],\n [\n -106.94091796875,\n 41.0130657870063\n ],\n [\n -106.94091796875,\n 42.415346114253616\n ],\n [\n -109.64355468749999,\n 42.415346114253616\n ],\n [\n -109.64355468749999,\n 41.0130657870063\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"45","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Meyerpeter, Mary Beth 0000-0003-4727-874X","orcid":"https://orcid.org/0000-0003-4727-874X","contributorId":274845,"corporation":false,"usgs":true,"family":"Meyerpeter","given":"Mary","email":"","middleInitial":"Beth","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":833388,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lazenby, Kade D.","contributorId":257564,"corporation":false,"usgs":false,"family":"Lazenby","given":"Kade","email":"","middleInitial":"D.","affiliations":[{"id":52056,"text":"Department of Wildland Resources, Jack H. Berryman Institute, S. J. Quinney College of Natural Resources, Utah State University, Logan, UT, USA","active":true,"usgs":false}],"preferred":false,"id":833389,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":833390,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ricca, Mark A. 0000-0003-1576-513X mark_ricca@usgs.gov","orcid":"https://orcid.org/0000-0003-1576-513X","contributorId":139103,"corporation":false,"usgs":true,"family":"Ricca","given":"Mark","email":"mark_ricca@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":833391,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mathews, Steven R. 0000-0002-3165-9460 smathews@usgs.gov","orcid":"https://orcid.org/0000-0002-3165-9460","contributorId":176922,"corporation":false,"usgs":true,"family":"Mathews","given":"Steven","email":"smathews@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":833392,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gardner, Scott C.","contributorId":192081,"corporation":false,"usgs":false,"family":"Gardner","given":"Scott","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":833393,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dahlgren, David K.","contributorId":257565,"corporation":false,"usgs":false,"family":"Dahlgren","given":"David","email":"","middleInitial":"K.","affiliations":[{"id":52056,"text":"Department of Wildland Resources, Jack H. 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Quinney College of Natural Resources, Utah State University, Logan, UT, USA","active":true,"usgs":false}],"preferred":false,"id":833394,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Delehanty, David J.","contributorId":195584,"corporation":false,"usgs":false,"family":"Delehanty","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":833395,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70240162,"text":"70240162 - 2021 - Food, culture and climate","interactions":[],"lastModifiedDate":"2023-01-31T15:53:46.585105","indexId":"70240162","displayToPublicDate":"2021-09-01T09:44:33","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":13285,"text":"Webinar Series Report","active":true,"publicationSubtype":{"id":4}},"title":"Food, culture and climate","docAbstract":"The Social Sciences Coordinating Committee (SSCC) is one of multiple Interagency Groups that support the U.S. Global Change Research Program (USGCRP). USGCRP began as a Presidential initiative in 1989 and was mandated by Congress through the U.S. Global Change Research Act of 1990 “to assist the Nation and the world to understand, assess, predict, and respond to human-induced and natural processes of global change.” USGCRP is overseen by the Subcommittee on Global Change Research, composed of representatives from each of USGCRP’s 13 member agencies. The mission of the SSCC is to foster the integration of the methods, findings, and disciplinary perspectives of the social, behavioral, and economic sciences, along with interdisciplinary and transdisciplinary approaches that include these sciences, into USGCRP activities. The SSCC serves as a social science resource to other USGCRP interagency working groups, the Subcommittee on Global Change Research, and other USGCRP activities such as the National Climate Assessment.
The SSCC’s Food, Culture, and Climate webinar series (held from September 14 to October 12, 2021) highlighted the ways in which social science research can elucidate the role of climate change in socio-cultural systems. It drew attention to the humanistic frameworks that underpin social scientific understanding of the ways individuals, households, and communities experience climate change. In particular, the seminars explored how the impacts of climate change are felt and understood by individuals and communities, how they interact with other stressors, and how they amplify existing inequities and vulnerabilities. This understanding is vital not only to the production of scientific knowledge, but also to the use of that knowledge in practice.
This report provides a summary of the key takeaways from this webinar series. The webinar series organizers identified recurrent themes and salient points that emerged in conversations across the three events. Here, central issues of the discussions on the relationships among food, culture, and climate, as well as the role that social science plays in elucidating them, are synthesized and highlighted. Recordings of the webinar series are available online from USGCRP.
","language":"English","publisher":"U.S. Global Change Research Program","usgsCitation":"Zycherman, A., Brooks, E., Campbell, A., Farber, B., Jurjonas, M.D., and Scheetz, A., 2021, Food, culture and climate: Webinar Series Report, 14 p.","productDescription":"14 p.","ipdsId":"IP-144981","costCenters":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"links":[{"id":412506,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":412481,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://downloads.globalchange.gov/sscc/FoodCultureClimate_Final.pdf"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zycherman, Ariela","contributorId":301859,"corporation":false,"usgs":false,"family":"Zycherman","given":"Ariela","email":"","affiliations":[],"preferred":false,"id":862856,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brooks, Emily 0000-0001-5735-369X","orcid":"https://orcid.org/0000-0001-5735-369X","contributorId":301849,"corporation":false,"usgs":true,"family":"Brooks","given":"Emily","email":"","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":862812,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campbell, Amber","contributorId":301860,"corporation":false,"usgs":false,"family":"Campbell","given":"Amber","email":"","affiliations":[],"preferred":false,"id":862857,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Farber, Brianna","contributorId":301861,"corporation":false,"usgs":false,"family":"Farber","given":"Brianna","email":"","affiliations":[],"preferred":false,"id":862858,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jurjonas, Matthew David 0000-0003-1008-639X","orcid":"https://orcid.org/0000-0003-1008-639X","contributorId":301850,"corporation":false,"usgs":true,"family":"Jurjonas","given":"Matthew","email":"","middleInitial":"David","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":862813,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scheetz, Austin","contributorId":301862,"corporation":false,"usgs":false,"family":"Scheetz","given":"Austin","email":"","affiliations":[],"preferred":false,"id":862859,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70229691,"text":"70229691 - 2021 - Seasonal and age-related variation in daily travel distances of California Condors","interactions":[],"lastModifiedDate":"2022-03-15T14:33:38.031134","indexId":"70229691","displayToPublicDate":"2021-09-01T09:17:55","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal and age-related variation in daily travel distances of California Condors","docAbstract":"Despite a dramatic recovery from the brink of extinction, California Condors (Gymnogyps californianus) still face significant anthropogenic threats. Although condor movement patterns across large temporal scales are understood, less is known about their movements on a fine temporal scale. We used a trajectory-based analysis of GPS telemetry data gathered from condors during 2013 to 2018 to investigate the relationship between the distances condors travel in a day, demographic characteristics (e.g., age and sex), and time of year. Most (>71.4%) daily travel distances by condors were <100 km, and, on average, condors traveled 70.1 ± 60.9 km/d (x̄ ± SD). On two occasions one condor traveled >400 km in a single day (477 km one day and 415 km the following day). The tendency for condors to travel long distances increased with age, and condors traveled longer distances during the summer and when nesting. Traveling such long distances likely exposes birds to threats across a greater variety of landscapes than would be expected for birds that moved shorter distances. Given anticipated condor range expansion and population increase, this work highlights the importance of coordinating condor conservation across the broad spatial scales at which they move.
","language":"English","publisher":"Raptor Research Foundation","doi":"10.3356/JRR-20-100","usgsCitation":"Hall, J.C., Hong, I., Poessel, S.A., Braham, M., Brandt, J., Burnett, J., and Katzner, T., 2021, Seasonal and age-related variation in daily travel distances of California Condors: Journal of Raptor Research, v. 55, no. 3, p. 388-398, https://doi.org/10.3356/JRR-20-100.","productDescription":"11 p.","startPage":"388","endPage":"398","ipdsId":"IP-113752","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":397110,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Ventura County","otherGeospatial":"Hopper Mountain National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n 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University","active":true,"usgs":false}],"preferred":false,"id":837969,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brandt, Joseph","contributorId":127742,"corporation":false,"usgs":false,"family":"Brandt","given":"Joseph","affiliations":[{"id":7133,"text":"California Condor Recovery Program, US Fish and Wildlife Service, Ventura, CA","active":true,"usgs":false}],"preferred":false,"id":837970,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Burnett, Joseph","contributorId":127741,"corporation":false,"usgs":false,"family":"Burnett","given":"Joseph","email":"","affiliations":[{"id":7132,"text":"Ventana Wildlife Society, Salinas, CA","active":true,"usgs":false}],"preferred":false,"id":837971,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":837973,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70221705,"text":"70221705 - 2021 - Redefining the age of the lower Colorado River, southwestern United States: Reply","interactions":[],"lastModifiedDate":"2021-09-15T14:14:36.049505","indexId":"70221705","displayToPublicDate":"2021-09-01T09:13:55","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Redefining the age of the lower Colorado River, southwestern United States: Reply","docAbstract":"Crow et al. (2021) report new geochronologic and paleomagnetic data indicating that the lower Colorado River (CR) became integrated to the proto–Gulf of California (GOC) between 4.8 and 4.62 Ma instead of at ca. 5.3 Ma, as suggested by Dorsey et al. (2007, 2018). Dorsey et al. (2021) dispute this new chronology but offer no alternative explanation for one of the key data sets requiring it, new detrital sanidine (DS) geochronology. This accurate and precise constraint agrees with detrital zircon results on separate samples (Cloos, 2014) and is tied through magnetostratigraphy to the first known CR sands in the GOC.","language":"English","publisher":"Geological Society of America","doi":"10.1130/G49334Y.1","usgsCitation":"Crow, R.S., Schwing, J., Karlstrom, K., Heizler, M., Pearthree, P., House, K., Dulin, S., Janecke, S., Stelten, M.E., and Crossey, L., 2021, Redefining the age of the lower Colorado River, southwestern United States: Reply: Geology, v. 49, no. 9, p. e532-e533, https://doi.org/10.1130/G49334Y.1.","productDescription":"2 p.","startPage":"e532","endPage":"e533","ipdsId":"IP-130110","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":450982,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/g49334y.1","text":"Publisher Index Page"},{"id":389264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"Arizona, California, Nevada","otherGeospatial":"lower Colorado River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.01562499999999,\n 31.55981453201843\n ],\n [\n -114.136962890625,\n 31.55981453201843\n ],\n [\n -114.136962890625,\n 36.589068371399115\n ],\n [\n -116.01562499999999,\n 36.589068371399115\n ],\n [\n -116.01562499999999,\n 31.55981453201843\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"49","issue":"9","noUsgsAuthors":false,"publicationDate":"2021-09-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Crow, Ryan S. 0000-0002-2403-6361 rcrow@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-6361","contributorId":5792,"corporation":false,"usgs":true,"family":"Crow","given":"Ryan","email":"rcrow@usgs.gov","middleInitial":"S.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":818479,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwing, Jonathan","contributorId":242021,"corporation":false,"usgs":false,"family":"Schwing","given":"Jonathan","affiliations":[],"preferred":false,"id":818480,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karlstrom, Karl","contributorId":245363,"corporation":false,"usgs":false,"family":"Karlstrom","given":"Karl","affiliations":[{"id":16658,"text":"UNM","active":true,"usgs":false}],"preferred":false,"id":818481,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heizler, Matt","contributorId":245364,"corporation":false,"usgs":false,"family":"Heizler","given":"Matt","affiliations":[{"id":7026,"text":"New Mexico Tech","active":true,"usgs":false}],"preferred":false,"id":818482,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pearthree, Philip","contributorId":195166,"corporation":false,"usgs":false,"family":"Pearthree","given":"Philip","affiliations":[],"preferred":false,"id":818483,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"House, Kyle 0000-0002-0019-8075 khouse@usgs.gov","orcid":"https://orcid.org/0000-0002-0019-8075","contributorId":2293,"corporation":false,"usgs":true,"family":"House","given":"Kyle","email":"khouse@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":818484,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dulin, Shannon","contributorId":260688,"corporation":false,"usgs":false,"family":"Dulin","given":"Shannon","email":"","affiliations":[{"id":7062,"text":"University of Oklahoma","active":true,"usgs":false}],"preferred":false,"id":818485,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Janecke, Susane","contributorId":260689,"corporation":false,"usgs":false,"family":"Janecke","given":"Susane","email":"","affiliations":[{"id":28050,"text":"USU","active":true,"usgs":false}],"preferred":false,"id":818486,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stelten, Mark E. 0000-0002-5294-3161 mstelten@usgs.gov","orcid":"https://orcid.org/0000-0002-5294-3161","contributorId":145923,"corporation":false,"usgs":true,"family":"Stelten","given":"Mark","email":"mstelten@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":818487,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Crossey, Laurie","contributorId":260692,"corporation":false,"usgs":false,"family":"Crossey","given":"Laurie","email":"","affiliations":[{"id":16658,"text":"UNM","active":true,"usgs":false}],"preferred":false,"id":818488,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70230365,"text":"70230365 - 2021 - Meter-scale lithofacies cycle and controls on variations in oil saturation, Wolfcamp A, Delaware and Midland Basins","interactions":[],"lastModifiedDate":"2022-04-11T14:08:51.213521","indexId":"70230365","displayToPublicDate":"2021-09-01T09:02:34","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":605,"text":"AAPG Bulletin","printIssn":"0149-1423","active":true,"publicationSubtype":{"id":10}},"title":"Meter-scale lithofacies cycle and controls on variations in oil saturation, Wolfcamp A, Delaware and Midland Basins","docAbstract":"Typical meter-scale lithofacies cycles from the Wolfcamp A in the Delaware and Midland Basins comprise basal carbonate facies overlain by calcareous or siliceous mudrocks. Siliceous mudstones are the most organic-rich facies with high total organic carbon (TOC > 3 wt. %), whereas thin carbonate beds have the lowest organic matter (OM) content among the lithofacies present (TOC TOC, programmed pyrolysis analysis, and residual gas analysis from rock crushing.
Oil saturation index (OSI) (the amount of free oil normalized by TOC; OSI = S1 × 100/TOC) is used as an indicator of oil enrichment or depletion in the reservoir, where S1 is volatile oil in programmed pyrolysis (temperature = 300°C). Both TOC-lean carbonate and TOC-rich mudstone lithofacies have high OSI in these meter-scale cycles (average OSI is 124.5 mg HC/g TOC for carbonate beds), indicating that migrated oil is present. Residual gas analyses show lower dryness values (C1/C1–5) and higher oil indicator values (100 × C4+5/C1–5) in TOC-lean carbonate beds compared to the TOC-rich mudstones, likely indicating a cumulative oil and gas charging effect through source rock maturation. Oil and gas generated at different stages of thermal maturation were partially expelled from OM-rich siliceous/calcareous mudstones into adjacent OM-lean carbonate beds. This study shows oil expulsion from source to adjacent carbonate beds is a key factor in variations of oil saturation in the Wolfcamp A.
","language":"English","publisher":"American Association of Petroleum Geologists","doi":"10.1306/01152120065","usgsCitation":"Zhang, T., Fu, Q., Sun, X., Hackley, P.C., Tingwei Ko, L., and Shao, D., 2021, Meter-scale lithofacies cycle and controls on variations in oil saturation, Wolfcamp A, Delaware and Midland Basins: AAPG Bulletin, v. 105, no. 9, p. 1821-1846, https://doi.org/10.1306/01152120065.","productDescription":"26 p.","startPage":"1821","endPage":"1846","ipdsId":"IP-118666","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":398466,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"105","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Tongwei","contributorId":289932,"corporation":false,"usgs":false,"family":"Zhang","given":"Tongwei","affiliations":[],"preferred":false,"id":840085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fu, Qilong","contributorId":289933,"corporation":false,"usgs":false,"family":"Fu","given":"Qilong","email":"","affiliations":[],"preferred":false,"id":840086,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sun, Xun","contributorId":289934,"corporation":false,"usgs":false,"family":"Sun","given":"Xun","affiliations":[],"preferred":false,"id":840087,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":840084,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tingwei Ko, Lucy","contributorId":289935,"corporation":false,"usgs":false,"family":"Tingwei Ko","given":"Lucy","email":"","affiliations":[],"preferred":false,"id":840088,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shao, Deyong","contributorId":289936,"corporation":false,"usgs":false,"family":"Shao","given":"Deyong","affiliations":[],"preferred":false,"id":840089,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70226800,"text":"70226800 - 2021 - Strategic considerations for invasive species managers in the utilization ofenvironmental DNA (eDNA): Steps for incorporating this powerful surveillance tool","interactions":[],"lastModifiedDate":"2021-12-14T14:59:50.696869","indexId":"70226800","displayToPublicDate":"2021-09-01T08:57:27","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":"Strategic considerations for invasive species managers in the utilization ofenvironmental DNA (eDNA): Steps for incorporating this powerful surveillance tool","docAbstract":"Invasive species surveillance programs can utilize environmental DNA sampling and analysis to provide information on the presence of invasive species. Wider utilization of eDNA techniques for invasive species surveillance may be warranted. This paper covers topics directed towards invasive species managers and eDNA practitioners working at the intersection of eDNA techniques and invasive species surveillance. It provides background information on the utility of eDNA for invasive species management and points to various examples of its use across federal and international programs. It provides information on 1) why an invasive species manager should consider using eDNA, 2) deciding if eDNA can help with the manager’s surveillance needs, 3) important components to operational implementation, and 4) a high-level overview of the technical steps necessary for eDNA analysis. The goal of this paper is to assist invasive species managers in deciding if, when, and how to use eDNA for surveillance. If eDNA use is elected, the paper provides guidance on steps to ensure a clear understanding of the strengths and limitation of the methods and how results can be best utilized in the context of invasive species surveillance.
","language":"English","publisher":"REABIC","doi":"10.3391/mbi.2021.12.3.15","usgsCitation":"Morisette, J., Burgiel, S., Brantley, K., Daniel, W., Darling, J., Davis, J., Franklin, T.W., Gaddis, K., Hunter, M., Lance, R., Leskey, T., Passamaneck, Y., Piaggio, A.J., Rector, B., Sepulveda, A., Smith, M., Stepien, C.A., and Wilcox, T., 2021, Strategic considerations for invasive species managers in the utilization ofenvironmental DNA (eDNA): Steps for incorporating this powerful surveillance tool: Management of Biological Invasions, v. 12, no. 3, p. 747-775, https://doi.org/10.3391/mbi.2021.12.3.15.","productDescription":"29p.","startPage":"747","endPage":"775","ipdsId":"IP-134007","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":467227,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2021.12.3.15","text":"Publisher Index Page"},{"id":392857,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Morisette, Jeffrey 0000-0002-0483-0082","orcid":"https://orcid.org/0000-0002-0483-0082","contributorId":212187,"corporation":false,"usgs":false,"family":"Morisette","given":"Jeffrey","affiliations":[{"id":38451,"text":"U.S. Department of the Interior, National Invasive Species Council Secretariat","active":true,"usgs":false}],"preferred":false,"id":828311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burgiel, Stanley","contributorId":270014,"corporation":false,"usgs":false,"family":"Burgiel","given":"Stanley","affiliations":[],"preferred":false,"id":828312,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brantley, 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Yale","contributorId":270026,"corporation":false,"usgs":false,"family":"Passamaneck","given":"Yale","affiliations":[],"preferred":false,"id":828322,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Piaggio, Antoinette J.","contributorId":174782,"corporation":false,"usgs":false,"family":"Piaggio","given":"Antoinette","email":"","middleInitial":"J.","affiliations":[{"id":12434,"text":"USDA, Wildlife Services, National Wildlife Research Center","active":true,"usgs":false}],"preferred":false,"id":828323,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Rector, Brian G.","contributorId":270028,"corporation":false,"usgs":false,"family":"Rector","given":"Brian","middleInitial":"G.","affiliations":[],"preferred":false,"id":828324,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Sepulveda, Adam 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":4187,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":828325,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Smith, Melissa","contributorId":139524,"corporation":false,"usgs":false,"family":"Smith","given":"Melissa","affiliations":[{"id":12788,"text":"National Weather Service","active":true,"usgs":false}],"preferred":false,"id":828326,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Stepien, Carol A","contributorId":270031,"corporation":false,"usgs":false,"family":"Stepien","given":"Carol","email":"","middleInitial":"A","affiliations":[],"preferred":false,"id":828327,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Wilcox, Taylor","contributorId":152363,"corporation":false,"usgs":false,"family":"Wilcox","given":"Taylor","email":"","affiliations":[{"id":18916,"text":"U.S. Department of Agriculture, Forest Service, National Genomics Center for Wildlife and Fish Conservation, Rocky Mountain Research Station, Missoula, MT 59801 USA","active":true,"usgs":false}],"preferred":false,"id":828328,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70228264,"text":"70228264 - 2021 - Developing bare-earth digital elevation models from structure-from-motion data on barrier islands","interactions":[],"lastModifiedDate":"2023-06-09T14:08:15.215958","indexId":"70228264","displayToPublicDate":"2021-09-01T08:49:34","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1958,"text":"ISPRS Journal of Photogrammetry and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Developing bare-earth digital elevation models from structure-from-motion data on barrier islands","docAbstract":"Unoccupied aerial systems can collect aerial imagery that can be used to develop structure-from-motion products with a temporal resolution well-suited to monitoring dynamic barrier island environments. However, topographic data created using photogrammetric techniques such as structure-from-motion represent the surface elevation including the vegetation canopy. Additional processing is required for estimating bare-earth elevation, which is critical for understanding the underlying geomorphology of these islands. In this study, we used a vegetation and elevation survey to produce bare-earth digital elevation models from structure-from-motion-derived elevation products for two sites on Dauphin Island, Alabama (USA). One site was exposed to high wave energy and included a mix of beach, dune, and barrier flat habitats that were dominated by supratidal/upland herbaceous vegetation. The second site was exposed to low wave energy and was dominated by intertidal marsh. Aerial imagery was collected in late fall of 2018 and spring of 2019. We tested several machine learning algorithms for predicting and removing elevation bias for vegetated areas using predictors that included spectral indices from unoccupied aerial systems-based multispectral imagery and landscape position information (e.g., relative topography and distance from shore). Models were developed for each site and season. We also explored how well the model from one season generalized to data from a different season for the same site. For developing initial digital surface models, we found that utilizing a minimum bin algorithm, as opposed to interpolation, led to lower elevation bias. For bias removal, Gaussian process regression performed the best and led to a root mean square error for the bare-earth digital elevation models of around 0.10 m for the high energy site and 0.15 m for the low energy site. Compared to the digital surface models, the root mean square error for the bare-earth digital elevation models was reduced by at least 29 percent for the high energy site and 69 percent for the low energy site. For all models, common predictors included surface elevation, vegetation greenness, and distance from the shoreline. The models produced comparable results when trained using data from a different season. The error estimates for all analyses were within published elevation standards for lidar data for vegetated areas. With calibration, this approach could be portable to other areas or data, such as aerial lidar (conventional or unoccupied), to provide an efficient and repeatable framework for monitoring geomorphology or provide baseline elevations for predicting changes to these environments under future conditions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.isprsjprs.2021.08.014","usgsCitation":"Enwright, N., Kranenburg, C.J., Patton, B., Dalyander, P., Brown, J., Piazza, S., and Cheney, W.C., 2021, Developing bare-earth digital elevation models from structure-from-motion data on barrier islands: ISPRS Journal of Photogrammetry and Remote Sensing, v. 180, p. 269-282, https://doi.org/10.1016/j.isprsjprs.2021.08.014.","productDescription":"14 p.; Data Release","startPage":"269","endPage":"282","ipdsId":"IP-127598","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":450987,"rank":4,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.isprsjprs.2021.08.014","text":"Publisher Index Page"},{"id":436215,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RA15I0","text":"USGS data release","linkHelpText":"Barrier island vegetation and elevation survey, Dauphin Island, AL, 2018-19"},{"id":395611,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417857,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P99PX0O3"}],"country":"United States","state":"Alabama","otherGeospatial":"Dauphin Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.33969116210938,\n 30.211608223816906\n ],\n [\n -88.06159973144531,\n 30.211608223816906\n ],\n [\n -88.06159973144531,\n 30.286938665455985\n ],\n [\n -88.33969116210938,\n 30.286938665455985\n ],\n [\n -88.33969116210938,\n 30.211608223816906\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"180","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Enwright, Nicholas 0000-0002-7887-3261","orcid":"https://orcid.org/0000-0002-7887-3261","contributorId":217794,"corporation":false,"usgs":true,"family":"Enwright","given":"Nicholas","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":833553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kranenburg, Christine J. 0000-0002-2955-0167 ckranenburg@usgs.gov","orcid":"https://orcid.org/0000-0002-2955-0167","contributorId":169234,"corporation":false,"usgs":true,"family":"Kranenburg","given":"Christine","email":"ckranenburg@usgs.gov","middleInitial":"J.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":833554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patton, Brett 0000-0002-7396-3452 pattonb@usgs.gov","orcid":"https://orcid.org/0000-0002-7396-3452","contributorId":5458,"corporation":false,"usgs":true,"family":"Patton","given":"Brett","email":"pattonb@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":833555,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dalyander, P. 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Salinities as low as 2 ppt (3.6 mScm–1) can impair duckling growth and influence behavior, with mortality occurring above 9 ppt (14.8 mScm–1). We used satellite imagery to quantify the amount of available water, and sampled surface water salinity at Grizzly Island, in the brackish Suisun Marsh, at three time-periods during waterfowl breeding (April, May, July) over 4 years (2016–2019). More water was available and salinity was lower during wetter years (2017, 2019) than during drier years (2016, 2018), and the amount of water in wetlands decreased 73%–86% from April to July. Across all time-periods and years, the majority (64%–100%) of wetland habitat area had salinities above what has been shown to negatively affect ducklings (> 2 ppt), and up to 42% of wetland area had salinities associated with duckling mortality (> 9 ppt). During peak duckling production in May, 81%–95% of available water had salinity above 2 ppt, and 5%–21% was above 9 ppt. In May of the driest year (2016), only 0.5 km2 of low-salinity water (< 2 ppt) was available to ducklings in the study area, compared to 2.6 km2 in May of the wettest year (2017). Private duck clubs own the majority of wetland habitat at Grizzly Island and consistently had a greater percentage of land flooded during summer than did publicly owned wetlands, but private wetlands generally had higher salinities than public wetlands, likely because they draw from higher-salinity water sources. By July, few wetlands remained flooded, and most had salinities high enough to impair duckling growth and survival. Local waterfowl populations would benefit from management practices that provide fresher water during peak duckling production in May and retain more water through July.
","language":"English","publisher":"University of California","doi":"10.15447/sfews.2021v19iss3art5","usgsCitation":"Schacter, C.R., Peterson, S.H., Herzog, M.P., Hartman, C.A., Casazza, M.L., and Ackerman, J.T., 2021, Wetland availability and salinity concentrations for breeding waterfowl in Suisun Marsh, California: San Francisco Estuary and Watershed Science, v. 19, no. 3, 5, 25 p., https://doi.org/10.15447/sfews.2021v19iss3art5.","productDescription":"5, 25 p.","ipdsId":"IP-126056","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":450990,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2021v19iss3art5","text":"Publisher Index Page"},{"id":389952,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Suisan Marsh","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.1137237548828,\n 38.03889809689809\n ],\n [\n -121.83425903320314,\n 38.03889809689809\n ],\n [\n -121.83425903320314,\n 38.23494411562881\n ],\n [\n -122.1137237548828,\n 38.23494411562881\n ],\n [\n -122.1137237548828,\n 38.03889809689809\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"19","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-09-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Schacter, Carley Rose 0000-0001-5493-2768","orcid":"https://orcid.org/0000-0001-5493-2768","contributorId":266023,"corporation":false,"usgs":true,"family":"Schacter","given":"Carley","email":"","middleInitial":"Rose","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":824143,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, Sarah H. 0000-0003-2773-3901 sepeterson@usgs.gov","orcid":"https://orcid.org/0000-0003-2773-3901","contributorId":167181,"corporation":false,"usgs":true,"family":"Peterson","given":"Sarah","email":"sepeterson@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":824144,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":824145,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":824146,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":824147,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":824148,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70226613,"text":"70226613 - 2021 - Microfossils from Calvert Cliffs give us clues to the future warmer climate","interactions":[],"lastModifiedDate":"2021-12-01T14:50:49.276172","indexId":"70226613","displayToPublicDate":"2021-09-01T08:40:00","publicationYear":"2021","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":9936,"text":"Ecphora Newsletter","active":true,"publicationSubtype":{"id":30}},"title":"Microfossils from Calvert Cliffs give us clues to the future warmer climate","docAbstract":"No abstract available.
","language":"English","publisher":"Calvert Marine Museum","usgsCitation":"Sutton, S., Robinson, M., Culver, S.J., Mallinson, D.J., Buzas, M.A., and Dowsett, H.J., 2021, Microfossils from Calvert Cliffs give us clues to the future warmer climate: Ecphora Newsletter, v. 36, no. 3, p. 2-4.","productDescription":"3 p.","startPage":"2","endPage":"4","ipdsId":"IP-131916","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":392305,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":392233,"type":{"id":15,"text":"Index Page"},"url":"https://calvertmarinemuseum.com/204/The-Ecphora-Newsletter"}],"country":"United States","state":"Maryland","otherGeospatial":"Calvert Cliffs","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.38381958007812,\n 38.38849520353919\n ],\n [\n -76.50054931640625,\n 38.51110185192187\n ],\n [\n -76.52664184570312,\n 38.48369476951686\n ],\n [\n -76.43394470214844,\n 38.40194908237822\n ],\n [\n -76.40304565429688,\n 38.382574703770246\n ],\n [\n -76.38381958007812,\n 38.38849520353919\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sutton, Seth R","contributorId":261662,"corporation":false,"usgs":false,"family":"Sutton","given":"Seth R","affiliations":[{"id":36317,"text":"East Carolina University","active":true,"usgs":false}],"preferred":false,"id":827486,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, Marci M. 0000-0002-9200-4097","orcid":"https://orcid.org/0000-0002-9200-4097","contributorId":269557,"corporation":false,"usgs":true,"family":"Robinson","given":"Marci M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":827487,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Culver, Stephen J.","contributorId":198984,"corporation":false,"usgs":false,"family":"Culver","given":"Stephen","email":"","middleInitial":"J.","affiliations":[{"id":27911,"text":"East Carolina University Greenville, North Carolina,USA","active":true,"usgs":false}],"preferred":false,"id":827488,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mallinson, David J.","contributorId":198986,"corporation":false,"usgs":false,"family":"Mallinson","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":27911,"text":"East Carolina University Greenville, North Carolina,USA","active":true,"usgs":false}],"preferred":false,"id":827489,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buzas, Martin A","contributorId":261663,"corporation":false,"usgs":false,"family":"Buzas","given":"Martin","email":"","middleInitial":"A","affiliations":[{"id":36606,"text":"Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":827490,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dowsett, Harry J. 0000-0003-1983-7524","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":269579,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry","email":"","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":827491,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70224576,"text":"70224576 - 2021 - Breeding waterbird populations have declined in south San Francisco Bay: An assessment over two decades","interactions":[],"lastModifiedDate":"2021-09-29T13:25:22.066754","indexId":"70224576","displayToPublicDate":"2021-09-01T08:17:00","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Breeding waterbird populations have declined in south San Francisco Bay: An assessment over two decades","docAbstract":"In south San Francisco Bay, former salt ponds now managed as wildlife habitat support large populations of breeding waterbirds. In 2006, the South Bay Salt Pond Restoration Project began the process of converting 50% to 90% of these managed pond habitats into tidal marsh. We compared American Avocet (Recurvirostra americana) and Black-necked Stilt (Himantopus mexicanus) abundance in south San Francisco Bay before (2001) and after approximately 1,300 ha of managed ponds were breached to tidal action to begin tidal marsh restoration (2019). Over the 18-year period, American Avocet abundance declined 13.5% (2,765 in 2001 vs. 2,391 in 2019), and Black-necked Stilt abundance declined 30.0% (1,184 in 2001 vs. 828 in 2019). Forster’s Tern (Sterna forsteri) abundance was 2,675 birds in 2019. In 2019, managed ponds accounted for only 25.8% of suitable habitats, yet contained 53.9%, 38.6%, and 65.6% American Avocet, Black-necked Stilt, and Forster’s Tern observations, respectively. Conversely, tidal marsh and tidal mudflats accounted for 42.9% of suitable habitats, yet contained only 18.4%, 10.3%, and 19.8% of American Avocet, Black-necked Stilt, and Forster’s Tern observations, respectively. Using a separate nest-monitoring data set, we found that nest abundance in south San Francisco Bay declined for all three species from 2005–2019. Average annual nest abundance during 2017–2019 declined 53%, 71%, and 36%, for American Avocets, Back-necked Stilts, and Forster’s Terns, respectively, compared to 2005–2007. Loss of island nesting habitat as a result of tidal marsh conversion and an increasing population of predatory California Gulls (Larus californicus) are two potential causes of these declines. All three species established nesting colonies on newly constructed islands within remaining managed ponds; however, these new colonies did not make up for the steep declines observed at other historical nesting sites. For future wetland restoration, retaining more managed ponds that contain islands suitable for nesting may help to limit further declines in breeding waterbird populations.
","language":"English","publisher":"University of California","doi":"10.15447/sfews.2021v19iss3art4","usgsCitation":"Hartman, C.A., Ackerman, J.T., Schacter, C.R., Herzog, M.P., Tarjan, M., Wang, Y., Strong, C., Tertes, R., and Warnock, N., 2021, Breeding waterbird populations have declined in south San Francisco Bay: An assessment over two decades: San Francisco Estuary and Watershed Science, v. 19, no. 3, 4, 28 p., https://doi.org/10.15447/sfews.2021v19iss3art4.","productDescription":"4, 28 p.","ipdsId":"IP-120016","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":450993,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2021v19iss3art4","text":"Publisher Index Page"},{"id":436216,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94RYHZL","text":"USGS data release","linkHelpText":"Breeding Waterbird Populations in South San Francisco Bay 2005-2019"},{"id":389947,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"south San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.12745666503905,\n 37.63380988687157\n ],\n [\n -122.23045349121094,\n 37.59954417809496\n ],\n [\n -122.28263854980467,\n 37.567984011320256\n ],\n [\n -122.33207702636717,\n 37.53042087175374\n ],\n [\n -122.13569641113281,\n 37.38707192644979\n ],\n [\n -121.981201171875,\n 37.35924242260126\n ],\n [\n -121.87202453613281,\n 37.388708634542056\n ],\n [\n -121.88713073730469,\n 37.46777358281261\n ],\n [\n -121.99905395507812,\n 37.61042389163107\n ],\n [\n -122.08419799804689,\n 37.65120864327176\n ],\n [\n -122.12745666503905,\n 37.63380988687157\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"19","issue":"3","noUsgsAuthors":false,"publicationDate":"2021-09-24","publicationStatus":"PW","contributors":{"authors":[{"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":824132,"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":824133,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schacter, Carley Rose 0000-0001-5493-2768","orcid":"https://orcid.org/0000-0001-5493-2768","contributorId":266023,"corporation":false,"usgs":true,"family":"Schacter","given":"Carley","email":"","middleInitial":"Rose","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":824134,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":824135,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tarjan, Max","contributorId":266024,"corporation":false,"usgs":false,"family":"Tarjan","given":"Max","affiliations":[{"id":54860,"text":"San Francisco Bay Bird Observatory Milpitas, CA 95035 USA","active":true,"usgs":false}],"preferred":false,"id":824136,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wang, Yiwei","contributorId":203687,"corporation":false,"usgs":false,"family":"Wang","given":"Yiwei","email":"","affiliations":[{"id":17738,"text":"San Francisco Bay Bird Observatory","active":true,"usgs":false}],"preferred":false,"id":824137,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Strong, Cheryl","contributorId":149428,"corporation":false,"usgs":false,"family":"Strong","given":"Cheryl","email":"","affiliations":[{"id":6927,"text":"USFWS, National Wildlife Refuge System","active":true,"usgs":false}],"preferred":false,"id":824138,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tertes, Rachel","contributorId":266025,"corporation":false,"usgs":false,"family":"Tertes","given":"Rachel","email":"","affiliations":[{"id":54861,"text":"US Fish and Wildlife Service Don Edwards San Francisco Bay National Wildlife Refuge Fremont, CA 94536 USA","active":true,"usgs":false}],"preferred":false,"id":824139,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Warnock, Nils","contributorId":64534,"corporation":false,"usgs":false,"family":"Warnock","given":"Nils","email":"","affiliations":[],"preferred":false,"id":824140,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70223700,"text":"70223700 - 2021 - Critical aquifer overdraft accelerates degradation of groundwater quality in California’s Central Valley during drought","interactions":[],"lastModifiedDate":"2021-09-14T17:00:43.326833","indexId":"70223700","displayToPublicDate":"2021-09-01T08:01:10","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Critical aquifer overdraft accelerates degradation of groundwater quality in California’s Central Valley during drought","docAbstract":"Drought-induced pumpage has precipitated dramatic groundwater-level declines in California’s Central Valley over the past 30 years, but the impacts of aquifer overdraft on water quality are poorly understood. This study coupled over 160,000 measurements of nitrate from ∼6,000 public-supply wells with a 30-year reconstruction of groundwater levels throughout the Central Valley to evaluate dynamic relations between aquifer exploitation and resource quality. We find that long-term rates of groundwater-level decline and water-quality degradation in critically overdrafted basins accelerate by respective factors of 2–3 and 3–5 during drought, followed by brief reversals during wetter periods. Episodic water-quality degradation can occur during drought where increased pumpage draws shallow, contaminated groundwater down to depth zones tapped by long-screened production wells. These data show, for the first time, a direct linkage between climate-mediated aquifer pumpage and groundwater quality on a regional scale.
Methane released from seafloor seeps contributes to a number of benthic, water column, and atmospheric processes. At seafloor seeps within the methane hydrate stability zone, crystalline gas hydrate shells can form on methane bubbles while the bubbles are still in contact with the seafloor or as the bubbles begin ascending through the water column. These shells reduce methane dissolution rates, allowing hydrate-coated bubbles to deliver methane to shallower depths in the water column than hydrate-free bubbles. Here, we analyze seafloor videos from six deepwater seep sites associated with a diverse range of bubble-release processes involving hydrate formation. Bubbles that grow rapidly are often hydrate-free when released from the seafloor. As bubble growth slows and seafloor residence time increases, a hydrate coating can form on the bubble's gas-water interface, fully coating most bubbles within ∼10 s of the onset of hydrate formation at the seafloor. This finding agrees with water-column observations that most bubbles become hydrate-coated after their initial ∼150 cm of rise, which takes about 10 s. Whether a bubble is coated or not at the seafloor affects how much methane a bubble contains and how quickly that methane dissolves during the bubble's rise through the water column. A simplified model shows that, after rising 150 cm above the seafloor, a bubble that grew a hydrate shell before releasing from the seafloor will have ∼5% more methane than a bubble of initial equal volume that did not grow a hydrate shell after it traveled to the same height.
Landslides are common geohazards associated with natural drivers such as precipitation, land degradation, toe erosion by rivers and wave attack, and ground shaking. On the other hand, human alterations such as inundation by water impoundment or rapid drawdown may also destabilize the surrounding slopes. The Guobu slope is an ancient rockslide on the banks of the Laxiwa hydropower station reservoir (China), which reactivated during the reservoir impoundment in 2009. We extracted three-dimensional surface displacements with azimuth and range radar interferometry using European Space Agency's Copernicus Sentinel-1 and German Aerospace Center's TerraSAR-X data during 20152019. The upper part of the Guobu rockslide is characterized by toppling and is mostly subsiding with maximum rates over 0.4 m/yr and 0.7 m/yr in the vertical and horizontal directions, respectively. During filling of the reservoir prior to 2014, there was a long-wavelength in-phase response between rising reservoir level and GPS-observed increased slope movements. After the reservoir water level stabilized from 2015 to 2019, the slide movement became seasonal and we see a correlation between rainfall and landslide movement. These observations suggest that the slide motion is now primarily controlled by rainfall. The spatiotemporal landslide displacements allow us to estimate the hydraulic diffusivity of the rock mass, to be on the order (~1.05 × 10‐7 m2/s) and the thickness of the moving rock mass (~200 m). Our results demonstrate that InSAR is a useful tool for monitoring the rockslide movement as a function of seasonal precipitation.
Phytoplankton provide large quantities of organic carbon and biomolecules that support large river ecosystems. However, when certain groups become overabundant (e.g., cyanobacteria), they can pose a risk to human health and river biota. The purpose of this study was to examine the spatial and temporal dynamics of phytoplankton community composition within the upper Mississippi River. More specifically, we analyzed samples from main channel, impounded, and backwater areas of Navigation Pools 8 and 13 to examine lateral variability within each of these pools. We analyzed samples from the main channel of Pool 26 to examine longitudinal variation among Pools 8, 13, and 26. Phytoplankton and water quality samples were collected during the summer months of 2006–2009. The main channels of Pool 8 and Pool 13 were generally dominated by diatoms, although cyanobacteria were (at times) more abundant. The backwaters were generally dominated by cyanobacteria and typified by flagellated species (e.g., cryptomonads and euglenoids). The main channel of Pool 26 was always dominated by diatoms. Discharge influenced phytoplankton community composition. In Pool 26, taxonomic richness tended to increase with increasing discharge. There were no linear correlations between cyanobacteria total or proportional biovolume and nutrient concentrations, indicating that nutrient limitation was not common. Differences in phytoplankton communities were generally associated with physical factors such as discharge, turbidity, and residence time.
Tropical forests are expected to experience unprecedented warming and increases in hurricane disturbances in the coming decades; yet, our understanding of how these productive systems, especially their belowground component, will respond to the combined effects of varied environmental changes remains empirically limited. Here we evaluated the responses of root dynamics (production, mortality, and biomass) to soil and understory warming (+4°C) and after two consecutive tropical hurricanes in our in situ warming experiment in a tropical forest of Puerto Rico: Tropical Responses to Altered Climate Experiment (TRACE). We collected minirhizotron images from three warmed plots and three control plots of 12 m2. Following Hurricanes Irma and María in September 2017, the infrared heater warming treatment was suspended for repairs, which allowed us to explore potential legacy effects of prior warming on forest recovery. We found that warming significantly reduced root production and root biomass over time. Following hurricane disturbance, both root biomass and production increased substantially across all plots; the root biomass increased 2.8-fold in controls but only 1.6-fold in previously warmed plots. This pattern held true for both herbaceous and woody roots, suggesting that the consistent antecedent warming conditions reduced root capacity to recover following hurricane disturbance. Root production and mortality were both related to soil ammonium nitrogen and microbial biomass nitrogen before and after the hurricanes. This experiment has provided an unprecedented look at the complex interactive effects of disturbance and climate change on the root component of a tropical forested ecosystem. A decrease in root production in a warmer world and slower root recovery after a major hurricane disturbance, as observed here, are likely to have longer-term consequences for tropical forest responses to future global change.
Two datasets containing the first complete estimates of reach-scale nutrient, water use, dissolved oxygen, and pH conditions for the Pacific drainages of the United States were created to help inform water-quality management decisions in that region. The datasets were developed using easily obtainable watershed data, most of which have not been available until recently, and the techniques that were used provide a framework for integrating watershed data to assess water-quality impairment across other large hydrologic regions in the United States. These datasets were used to summarize regional nutrient and water-use conditions within impaired water bodies and to summarize regional dissolved oxygen concentrations and pH conditions for free-flowing stream reaches. Two examples are also presented that show how the datasets can be applied to specific water-quality management issues: (1) nutrient conditions in water bodies that have recently experienced problems with harmful algal blooms; and (2) dissolved oxygen and pH conditions in stream reaches likely to be populated by steelhead trout (Oncorhynchus mykiss irideus) during their summer run. The nutrient and water-use estimates could help inform actions aimed at managing water-quality conditions in impaired water bodies while the dissolved oxygen and pH predictions could be useful as screening tools to identify water bodies experiencing potential impairment.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215087","programNote":"National Water Quality Program","usgsCitation":"Wise, D.R., 2021, Using regional watershed data to assess water-quality impairment in the Pacific Drainages of the United States: U.S. Geological Survey Scientific Investigations Report 2021–5087, 29 p., https://doi.org/10.3133/sir20215087.","productDescription":"vii, 29 p.","onlineOnly":"Y","ipdsId":"IP-123766","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":436221,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9B3BQOW","text":"USGS data release","linkHelpText":"Reach-scale estimates of nutrient, water use, dissolved oxygen, and pH conditions in the Pacific drainages of the United States"},{"id":388699,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5087/coverthb.jpg"},{"id":388700,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5087/sir20215087.pdf","text":"Report","size":"6.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5087"}],"country":"United States","state":"California, Idaho, Montana, Nevada, Oregon, Utah, Washington, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.958984375,\n 49.03786794532644\n ],\n [\n -123.04687499999999,\n 48.545705491847464\n ],\n [\n -124.541015625,\n 48.48748647988415\n ],\n [\n -124.93652343749999,\n 48.28319289548349\n ],\n [\n -124.23339843749999,\n 46.76996843356982\n ],\n [\n -124.18945312500001,\n 45.42929873257377\n ],\n [\n -124.71679687499999,\n 43.83452678223682\n ],\n [\n -124.76074218749999,\n 42.5530802889558\n ],\n [\n -124.49707031249999,\n 41.47566020027821\n ],\n [\n -124.71679687499999,\n 40.34654412118006\n ],\n [\n -124.18945312500001,\n 39.639537564366684\n ],\n [\n -123.96972656249999,\n 38.993572058209466\n ],\n [\n -123.00292968749999,\n 38.03078569382294\n ],\n [\n -122.03613281249999,\n 36.27970720524017\n ],\n [\n -121.025390625,\n 35.02999636902566\n ],\n [\n -120.4541015625,\n 34.34343606848294\n ],\n [\n -118.91601562499999,\n 34.05265942137599\n ],\n [\n -117.68554687499999,\n 33.46810795527896\n ],\n [\n -117.20214843749999,\n 32.54681317351514\n ],\n [\n -116.4111328125,\n 32.62087018318113\n ],\n [\n -116.54296874999999,\n 33.211116472416855\n ],\n [\n -117.6416015625,\n 34.08906131584994\n ],\n [\n -118.0810546875,\n 34.23451236236987\n ],\n [\n -118.21289062499999,\n 35.96022296929667\n ],\n [\n -118.91601562499999,\n 36.70365959719456\n ],\n [\n -119.970703125,\n 37.92686760148135\n ],\n [\n -120.41015624999999,\n 38.61687046392973\n ],\n [\n -120.58593749999999,\n 39.470125122358176\n ],\n [\n -120.58593749999999,\n 40.27952566881291\n ],\n [\n -121.11328124999999,\n 41.07935114946899\n ],\n [\n -121.6845703125,\n 42.35854391749705\n ],\n [\n -121.59667968749999,\n 42.94033923363181\n ],\n [\n -121.46484375,\n 43.96119063892024\n ],\n [\n -121.11328124999999,\n 44.77793589631623\n ],\n [\n -120.2783203125,\n 44.33956524809713\n ],\n [\n -119.4873046875,\n 43.8028187190472\n ],\n [\n -118.69628906249999,\n 42.5530802889558\n ],\n [\n -118.0810546875,\n 41.83682786072714\n ],\n [\n -117.158203125,\n 41.07935114946899\n ],\n [\n -116.1474609375,\n 40.78054143186033\n ],\n [\n -114.2138671875,\n 41.343824581185686\n ],\n [\n -113.466796875,\n 42.00032514831621\n ],\n [\n -111.884765625,\n 42.35854391749705\n ],\n [\n -111.005859375,\n 42.4234565179383\n ],\n [\n -109.6875,\n 42.5530802889558\n ],\n [\n -109.4677734375,\n 43.26120612479979\n ],\n [\n -109.951171875,\n 44.05601169578525\n ],\n [\n -110.7861328125,\n 44.55916341529182\n ],\n [\n -112.06054687499999,\n 44.59046718130883\n ],\n [\n -112.8515625,\n 44.43377984606822\n ],\n [\n -113.73046875,\n 45.24395342262324\n ],\n [\n -114.0380859375,\n 45.460130637921004\n ],\n [\n -113.203125,\n 45.73685954736049\n ],\n [\n -112.236328125,\n 46.40756396630067\n ],\n [\n -112.19238281249999,\n 47.39834920035926\n ],\n [\n -113.64257812499999,\n 48.980216985374994\n ],\n [\n -122.958984375,\n 49.03786794532644\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Oregon Water Science Center
U.S. Geological Survey
2130 SW 5th Avenue
Portland, Oregon 97201
A plume of ethylene dibromide (EDB) dissolved in groundwater extends northeast from the Bulk Fuels Facility on Kirtland Air Force Base, New Mexico. The leading edge of the EDB plume is upgradient from several water-supply wells. In 2013, the U.S. Geological Survey (USGS), in cooperation with the Albuquerque Bernalillo County Water Utility Authority and the U.S. Air Force, installed four sentinel well nests and two aquifer-test pumping wells between the EDB plume and the water-supply wells to serve as an early warning if the plume travels toward the water-supply wells. Since 2015, the USGS has used submersible pumps to sample the sentinel wells quarterly. In February 2017, the USGS began using dual-membrane passive diffusion bag samplers for quarterly sampling in the wells. To ensure that the passive samplers are obtaining representative samples of the groundwater contaminants, the USGS, in cooperation with the U.S. Air Force, initiated a study in 2019 to compare results from pump sampling and passive samplers and to use vertical profiling to determine the optimal depth for passive sampler placement in the screened interval to better inform long-term monitoring of the site.
Vertical profiling included deploying passive samplers throughout the submerged screened interval of four shallow sentinel wells. After retrieval of the passive samplers, pump samples were collected. The results of analyses of both types of samples were compared. Volatile organic compound results for this study were all below the raised reporting levels, which is a level five times the maximum concentration detected in a blank and determined by an in-depth quality assessment; therefore, this study focused on inorganic constituent results, including major ions, trace elements, and stable isotopes of water, to calculate the relative percent difference (RPD) between the pump and passive sampling method results as a way to determine where passive samplers would be best placed in each of the wells. Several analytes had an RPD of more than plus or minus 50 percent, and several analytes were not within the estimated variability for each sampling method. Additionally, the variability within each sampling method was quantified and compared. Factors that likely contributed to the lack of comparison between each sampling method included temporal variability, flow regime, volume of sample integrated through different aquifer intervals, and reduction/oxidation processes. RPD and method variability were used to determine the intervals within each well with the greatest agreement between sampling methods. Optimal sampling depths for each well were then correlated to the intervals where quarterly sampling has been occurring.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215074","collaboration":"Prepared in cooperation with the U.S. Air Force","usgsCitation":"Travis, R.E., and Wilkins, K., 2021, Comparison of passive and pumped sampling methods for analysis of groundwater quality, Kirtland Air Force Base, Albuquerque, New Mexico, 2019: U.S. Geological Survey Scientific Investigations Report 2021–5074, 51 p., https://doi.org/10.3133/sir20215074.","productDescription":"Report: vii, 51 p.; Dataset","numberOfPages":"64","onlineOnly":"Y","ipdsId":"IP-120403","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":388663,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5074/coverthb.jpg"},{"id":388664,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5074/sir20215074.pdf","text":"Report","size":"3.12 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5074"},{"id":388665,"rank":3,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"U.S. Geological Survey National Water Information System database","description":"USGS Dataset","linkHelpText":"— USGS water data for the Nation"},{"id":388666,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2021/5074/images"}],"country":"United States","state":"New Mexico","county":"Albuquerque","otherGeospatial":"Kirtland Air Force Base","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.65802001953124,\n 34.928726792983845\n ],\n [\n -106.34765624999999,\n 34.91521472314689\n ],\n [\n -106.336669921875,\n 35.07046911981966\n ],\n [\n -106.6552734375,\n 35.07046911981966\n ],\n [\n -106.65802001953124,\n 34.928726792983845\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New Mexico Water Science Center
U.S. Geological Survey
6700 Edith Blvd. NE
Albuquerque, NM 87113
The Big Bend region is located within the heart of the Chihuahan Desert of North America. Within this region, the Rio Grande, referred to as the Rio Bravo in Mexico, is the international border between the United States and Mexico. The area known as the Big Bend is named after the large northerly bend that the river makes before flowing southeast to the Gulf of Mexico. This region is environmentally protected by both countries. Although large binational conservation efforts exist, the physical and ecological characteristics of the river have been substantially altered. Changes in Rio Grande hydrology (the seasonality, magnitude, duration, and variability in streamflow) have resulted in the widespread physical transformation of the river, resulting in the loss of important habitat for native and endangered fish and increased flood risk. U.S. Geological Survey (USGS) scientists, in cooperation with many other government agencies, universities, and non-governmental organizations (NGOs), are working to better understand these changes to inform management of the Rio Grande.
","language":"English, Spanish","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20213036","collaboration":"Prepared in cooperation with the National Park Service, Utah State University, Sul Ross State University, World Wildlife Fund, Alpine Test Services, Rio Grande Scientific Support Services, and RiversEdge West","usgsCitation":"Dean, D.J., 2021, A river of change—The Rio Grande in the Big Bend region: U.S. Geological Survey Fact Sheet 2021-3036, 4 p., https://doi.org/10.3133/fs20213036.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","ipdsId":"IP-119891","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":388703,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2021/3036/fs20213036_spanish.pdf","text":"Report (Spanish version)","size":"4 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":388702,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2021/3036/fs20213036.pdf","text":"Report","size":"4 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":388701,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2021/3036/covrthb.jpg"}],"country":"Mexico, United States","state":"Texas","otherGeospatial":"Rio Grande, Big Bend Region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.51293945312499,\n 28.285033294640684\n ],\n [\n -102.3486328125,\n 28.285033294640684\n ],\n [\n -102.3486328125,\n 29.888280933159265\n ],\n [\n -104.51293945312499,\n 29.888280933159265\n ],\n [\n -104.51293945312499,\n 28.285033294640684\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"A common impact on riparian ecosystem function following river regulation is the expansion and encroachment of riparian plant species in the active river channels and floodplain, which reduces flow of water and suspended sediment between the river, riparian area, and upland ecosystems. We characterized riparian plant species occurrence and quantified encroachment within the dam-regulated Colorado River in Grand Canyon, Arizona, USA. We mapped 10 riparian species with high-resolution multispectral imagery and examined effects of river hydrology and geomorphology on the spatial distribution of plant species and open sand. Analysis spanned an image time-series from 2002-2009-2013; a period when plant species and sand were spatially dynamic, and operations of Glen Canyon Dam included daily hydro-peaking and small episodic controlled flood releases. Plant species occurrence and encroachment rates varied with hydrology, geomorphology, and local species pool. Encroachment was greatest on surfaces frequently inundated by hydro-peaking. Seep willow (Baccharis spp.), tamarisk (Tamarix spp.) and arrowweed (Pluchea sericea) were the primary encroaching woody species. Common reed (Phragmites australis) and horsetail (Equisetum xferrissii) were the primary encroaching herbaceous species. Encroachment composition from 2002 to 2009 was similar to the entire riparian landscape, whereas encroachment from 2009 to 2013 primarily consisted of seep willow and early-colonizing herbaceous species. Emergence of seep willow and arrowweed after burial by sand deposited by controlled floods indicated that those species were resilient to this form of disturbance. Describing patterns of species encroachment is an important step towards designing flow regimes that favor riparian species and ecosystem functions valued by stakeholders.
","language":"English","publisher":"Wiley","doi":"10.1002/eco.2344","usgsCitation":"Durning, L., Sankey, J., Yackulic, C., Grams, P.E., Butterfield, B.J., and Sankey, T.T., 2021, Hydrologic and geomorphic effects on riparian plant species occurrence and encroachment: Remote sensing of 360 km of the Colorado River in Grand Canyon: Ecohydrology, v. 14, no. 8, e2344, 21 p., https://doi.org/10.1002/eco.2344.","productDescription":"e2344, 21 p.","ipdsId":"IP-126711","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":389814,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Grand Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.93920898437499,\n 35.639441068973944\n ],\n [\n -111.33544921874999,\n 35.639441068973944\n ],\n [\n -111.33544921874999,\n 36.94111143010769\n ],\n [\n -113.93920898437499,\n 36.94111143010769\n ],\n [\n -113.93920898437499,\n 35.639441068973944\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"14","issue":"8","noUsgsAuthors":false,"publicationDate":"2021-09-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Durning, Laura E. 0000-0003-3282-2458","orcid":"https://orcid.org/0000-0003-3282-2458","contributorId":177023,"corporation":false,"usgs":false,"family":"Durning","given":"Laura E.","affiliations":[],"preferred":false,"id":823991,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sankey, Joel B. 0000-0003-3150-4992","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":261248,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":823992,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":823993,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grams, Paul E. 0000-0002-0873-0708","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":216115,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":823994,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Butterfield, Bradley J. 0000-0003-0974-9811","orcid":"https://orcid.org/0000-0003-0974-9811","contributorId":167009,"corporation":false,"usgs":false,"family":"Butterfield","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":24591,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":823995,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sankey, Temuulen T.","contributorId":173297,"corporation":false,"usgs":false,"family":"Sankey","given":"Temuulen","email":"","middleInitial":"T.","affiliations":[{"id":7202,"text":"NAU","active":true,"usgs":false}],"preferred":false,"id":823996,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70227087,"text":"70227087 - 2021 - Demography of the Appalachian Spotted Skunk (Spilogale putorius putorius)","interactions":[],"lastModifiedDate":"2021-12-29T15:25:35.125123","indexId":"70227087","displayToPublicDate":"2021-08-31T09:12:07","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Demography of the Appalachian Spotted Skunk (Spilogale putorius putorius)","title":"Demography of the Appalachian Spotted Skunk (Spilogale putorius putorius)","docAbstract":"Spilogale putorius (Eastern Spotted Skunk) is a small, secretive carnivore that has substantially declined throughout the eastern United States since the mid-1900s. To better understand the current status of Eastern Spotted Skunks, we studied survival and reproduction of the S. p. putorius (Appalachian Spotted Skunk) subspecies across 4 states in the central and southern Appalachian Mountains from 2014 to 2020. Using encounter histories from 99 radio-collared Appalachian Spotted Skunks in a Kaplan–Meier known-fate survival analysis, we calculated a mean annual adult survival rate of 0.58. We did not find support for this survival rate varying by sex, predator cover (canopy cover and topographic ruggedness), or climate. Compared to estimates of survival from previous research, our data suggest that Appalachian Spotted Skunk survival is intermediate to the S. p. interrupta (Plains Spotted Skunk) and S. p. ambarvalis (Florida Spotted Skunk) subspecies of Eastern Spotted Skunk. We located 11 Appalachian Spotted Skunk natal dens and estimated mean litter size to be 2.8 juveniles per female. We used a Lefkovitch matrix to identify the most important demographic rates and found that adult survivorship had the largest impact on the population growth rate. These results provide important demographic information for future Eastern Spotted Skunk population viability analyses and can serve as a baseline for future comparative assessments of the effects of management interventions on the species.
","language":"English","publisher":"Humboldt Field Research Institute","doi":"10.1656/058.020.0sp1110","usgsCitation":"Butler, A.R., Edelman, A., Eng, R.Y., Harris, S.N., Olfenbuttel, C., Thorne, E., Ford, W., and Jachowski, D.S., 2021, Demography of the Appalachian Spotted Skunk (Spilogale putorius putorius): Southeastern Naturalist, v. 20, no. SP11, p. 95-109, https://doi.org/10.1656/058.020.0sp1110.","productDescription":"15 p.","startPage":"95","endPage":"109","ipdsId":"IP-120641","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":451013,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10919/111968","text":"External Repository"},{"id":393589,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, North Carolina, South Carolina, Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.03369140625,\n 32.62087018318113\n ],\n [\n -85.10009765625,\n 32.62087018318113\n ],\n [\n -85.10009765625,\n 34.95799531086792\n ],\n [\n -87.03369140625,\n 34.95799531086792\n ],\n [\n -87.03369140625,\n 32.62087018318113\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.462890625,\n 34.542762387234845\n ],\n [\n -80.85937499999999,\n 34.542762387234845\n ],\n [\n -80.85937499999999,\n 36.527294814546245\n ],\n [\n -84.462890625,\n 36.527294814546245\n ],\n [\n -84.462890625,\n 34.542762387234845\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.11181640625,\n 36.61552763134925\n ],\n [\n -78.50830078125,\n 36.61552763134925\n ],\n [\n -78.50830078125,\n 38.92522904714054\n ],\n [\n -82.11181640625,\n 38.92522904714054\n ],\n [\n -82.11181640625,\n 36.61552763134925\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"SP11","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Ragheb, Erin Hewett","contributorId":270650,"corporation":false,"usgs":false,"family":"Ragheb","given":"Erin","email":"","middleInitial":"Hewett","affiliations":[],"preferred":false,"id":829653,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Butler, Andrew R.","contributorId":270595,"corporation":false,"usgs":false,"family":"Butler","given":"Andrew","email":"","middleInitial":"R.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":829600,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edelman, Andrew J.","contributorId":270596,"corporation":false,"usgs":false,"family":"Edelman","given":"Andrew J.","affiliations":[{"id":56182,"text":"University of West Georgia","active":true,"usgs":false}],"preferred":false,"id":829601,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eng, Robin Y. Y.","contributorId":270597,"corporation":false,"usgs":false,"family":"Eng","given":"Robin","email":"","middleInitial":"Y. Y.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":829602,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harris, Stephen N.","contributorId":270598,"corporation":false,"usgs":false,"family":"Harris","given":"Stephen","email":"","middleInitial":"N.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":829603,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olfenbuttel, Colleen","contributorId":270649,"corporation":false,"usgs":false,"family":"Olfenbuttel","given":"Colleen","email":"","affiliations":[{"id":36454,"text":"North Carolina Wildlife Resources Commission","active":true,"usgs":false}],"preferred":false,"id":829652,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thorne, Emily D.","contributorId":270599,"corporation":false,"usgs":false,"family":"Thorne","given":"Emily D.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":829604,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":829599,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jachowski, David S.","contributorId":270600,"corporation":false,"usgs":false,"family":"Jachowski","given":"David","email":"","middleInitial":"S.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":829605,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70230258,"text":"70230258 - 2021 - An updated assessment of status and trend in the distribution of the Cascades frog (Rana cascadae) in Oregon, USA","interactions":[],"lastModifiedDate":"2022-04-06T14:19:46.516429","indexId":"70230258","displayToPublicDate":"2021-08-31T09:11:44","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1894,"text":"Herpetological Conservation and Biology","onlineIssn":"2151-0733","printIssn":"1931-7603","active":true,"publicationSubtype":{"id":10}},"displayTitle":"An updated assessment of status and trend in the distribution of the Cascades frog (Rana cascadae) in Oregon, USA","title":"An updated assessment of status and trend in the distribution of the Cascades frog (Rana cascadae) in Oregon, USA","docAbstract":"Conservation efforts need reliable information concerning the status of a species and their trends to help identify which species are in most need of assistance. We completed a comparative evaluation of the occurrence of breeding for Cascades Frog (Rana cascadae), an amphibian that is being considered for federal protection under the U.S. Endangered Species Act. Specifically, in 2018–2019 we resurveyed 67 sites that were surveyed approximately 15 y prior and fit occupancy models to quantify the distribution of R. cascadae breeding in the Cascade Range, Oregon, USA. Furthermore, we conducted a simulation exercise to assess the power of sampling designs to detect declines in R. cascadae breeding at these sites. Our analysis of field data combined with our simulation results suggests that if there was a decline in the proportion of sites used for R. cascadae breeding in Oregon, it was likely a < 20% decline across our study period. Our results confirm that while R. cascadae detection probabilities are high, methods that allow the sampling process to be explicitly modeled are necessary to reliably track the status of the species. This study demonstrates the usefulness of investing in baseline information and data quality standards to increase capacity to make similar comparisons for other species in a timeframe that meet the needs of land managers and policy makers.
","language":"English","publisher":"Herpetological Conservation and Biology","usgsCitation":"Duarte, A., Pearl, C., McCreary, B., Rowe, J., and Adams, M.J., 2021, An updated assessment of status and trend in the distribution of the Cascades frog (Rana cascadae) in Oregon, USA: Herpetological Conservation and Biology, v. 16, no. 2, p. 361-373.","productDescription":"13 p.","startPage":"361","endPage":"373","ipdsId":"IP-127196","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":398216,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":398175,"type":{"id":15,"text":"Index Page"},"url":"https://www.herpconbio.org/contents_vol16_issue2.html"}],"country":"United States","state":"Oregon","otherGeospatial":"Cascade Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.398681640625,\n 45.537136680398596\n ],\n [\n -122.82714843749999,\n 44.88701247981298\n ],\n [\n -123.07983398437499,\n 44.07969327425713\n ],\n [\n -123.26660156249999,\n 42.58544425738491\n ],\n [\n -123.145751953125,\n 42.00848901572399\n ],\n [\n -121.61865234375,\n 42.00032514831621\n ],\n [\n -121.77246093750001,\n 42.98053954751642\n ],\n [\n -121.278076171875,\n 44.134913443750726\n ],\n [\n -121.025390625,\n 45.034714778688624\n ],\n [\n -121.124267578125,\n 45.68315803253308\n ],\n [\n -121.57470703125,\n 45.744526980468436\n ],\n [\n -121.871337890625,\n 45.729191061299915\n ],\n [\n -122.398681640625,\n 45.537136680398596\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Duarte, Adam","contributorId":28492,"corporation":false,"usgs":false,"family":"Duarte","given":"Adam","affiliations":[{"id":6960,"text":"Department of Biology, Texas State University","active":true,"usgs":false}],"preferred":false,"id":839736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearl, Christopher 0000-0003-2943-7321 christopher_pearl@usgs.gov","orcid":"https://orcid.org/0000-0003-2943-7321","contributorId":172669,"corporation":false,"usgs":true,"family":"Pearl","given":"Christopher","email":"christopher_pearl@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":839737,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCreary, Brome 0000-0002-0313-7796 brome_mccreary@usgs.gov","orcid":"https://orcid.org/0000-0002-0313-7796","contributorId":3130,"corporation":false,"usgs":true,"family":"McCreary","given":"Brome","email":"brome_mccreary@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":839738,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rowe, Jennifer 0000-0002-5253-2223 jrowe@usgs.gov","orcid":"https://orcid.org/0000-0002-5253-2223","contributorId":172670,"corporation":false,"usgs":true,"family":"Rowe","given":"Jennifer","email":"jrowe@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":839739,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adams, Michael J. 0000-0001-8844-042X","orcid":"https://orcid.org/0000-0001-8844-042X","contributorId":211916,"corporation":false,"usgs":true,"family":"Adams","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":839740,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70223672,"text":"70223672 - 2021 - Monitoring native, resident nonsalmonids for the incidence of gas bubble trauma downstream of Snake and Columbia River Dams, 2021","interactions":[],"lastModifiedDate":"2021-09-01T13:49:48.74866","indexId":"70223672","displayToPublicDate":"2021-08-31T08:44:49","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Monitoring native, resident nonsalmonids for the incidence of gas bubble trauma downstream of Snake and Columbia River Dams, 2021","docAbstract":"In 2020, a new spill program was implemented to aid the downstream passage of juvenile \nsalmonids at mainstem dams on the Snake and Columbia rivers. Under this program, the total \ndissolved gas (TDG) cap was increased to 125% and monitoring of native, resident nonsalmonid \n(NRN) fishes for gas bubble trauma (GBT) became a requirement. The primary objective of this \nwork was to measure the incidence and severity of GBT in NRN fishes resulting from increased \njuvenile fish passage spill and associated levels of TDG during the spring spill period. A \nsecondary objective was to measure the incidence of GBT in incidentally collected juvenile \nsalmonids when NRN sample size targets were met. NRN fishes were collected downstream \nfrom Bonneville, McNary, and Ice Harbor dams and examined for the incidence and severity of \nGBT in 2021. Fish were collected at each location weekly (6 April to 17 June) during the spring \nspill period by backpack electrofishing and beach seining. Washington and Oregon state water \nquality agencies established minimum and target sample sizes for monitoring, and in all weeks \nthe minimum sample size of 50 fish was met and in most weeks the target sample size of 100 \nfish was met. Collected fish were examined for GBT according to the criteria and protocol \nestablished for the regional smolt monitoring program (SMP). Overall, GBT incidence and \nseverity rankings were low and did not exceed the thresholds that would have triggered changes \nto the spill program. Using SMP criteria, weekly GBT incidences ranged from 0 to 1.0% \ndownstream from Bonneville Dam, 0 to 6.2% downstream from McNary Dam, and 0 to 1.9% \ndownstream from Ice Harbor Dam. Except for one three-spined stickleback (Gasterosteus \naculeatus) collected downstream of Bonneville Dam, the only NRN species that showed signs of \nGBT was sculpin spp. GBT was observed in sculpin in body locations other than the unpaired \nfins and eyes (i.e., SMP criteria). If GBT incidence in all areas on the fish (i.e., paired fins, \nunpaired fins, eyes, body) are combined, then weekly GBT incidence rates increase and range \nfrom 0 to 4.3% downstream from Bonneville Dam, 0 to 15.4% downstream from McNary Dam, \nand 0 to 4.7% downstream from Ice Harbor Dam. This illustrates the effect of using different \ncriteria to determine the incidence of GBT in NRN fishes. It also shows how the proportion of a \nspecies in a sample that is more prone to show GBT can influence GBT incidence rate. On a \nnumber of occasions, incidental catch of subyearling fall Chinook salmon were examined for \nGBT downstream of Bonneville Dam but none showed any signs. The DG was generally below \n120% and never reached the 125% gas cap during the spring spill season, which may be why \nGBT incidence rates were so low as past research has shown that GBT signs in NRN fishes are \nrelatively low below this TDG level.","language":"English","publisher":"Bonneville Power Administration","usgsCitation":"Tiffan, K.F., Smith, C.D., Eller, N.J., and Warren, J.J., 2021, Monitoring native, resident nonsalmonids for the incidence of gas bubble trauma downstream of Snake and Columbia River Dams, 2021, vii, 37 p.","productDescription":"vii, 37 p.","ipdsId":"IP-132589","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":388727,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":388710,"type":{"id":15,"text":"Index Page"},"url":"https://www.cbfish.org/Document.mvc/Viewer/P186658"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Columbia River, Snake River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.28906250000001,\n 45.43700828867391\n ],\n [\n -118.16894531249999,\n 45.43700828867391\n ],\n [\n -118.16894531249999,\n 46.76996843356982\n ],\n [\n -121.28906250000001,\n 46.76996843356982\n ],\n [\n -121.28906250000001,\n 45.43700828867391\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tiffan, Kenneth F. 0000-0002-5831-2846","orcid":"https://orcid.org/0000-0002-5831-2846","contributorId":220176,"corporation":false,"usgs":true,"family":"Tiffan","given":"Kenneth","middleInitial":"F.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":822279,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Collin D. 0000-0003-4184-5686 cdsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-4184-5686","contributorId":3111,"corporation":false,"usgs":true,"family":"Smith","given":"Collin","email":"cdsmith@usgs.gov","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":822280,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eller, Nicole Joy 0000-0001-8760-8884","orcid":"https://orcid.org/0000-0001-8760-8884","contributorId":265130,"corporation":false,"usgs":true,"family":"Eller","given":"Nicole","email":"","middleInitial":"Joy","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":822281,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Warren, Joe J. 0000-0001-5632-730X jwarren@usgs.gov","orcid":"https://orcid.org/0000-0001-5632-730X","contributorId":265131,"corporation":false,"usgs":true,"family":"Warren","given":"Joe","email":"jwarren@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":822282,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}