{"pageNumber":"490","pageRowStart":"12225","pageSize":"25","recordCount":184571,"records":[{"id":70221082,"text":"sir20215037 - 2021 - Sediment concentrations and loads upstream from and through John Redmond Reservoir, east-central Kansas, 2010–19","interactions":[],"lastModifiedDate":"2021-06-02T13:05:23.095316","indexId":"sir20215037","displayToPublicDate":"2021-06-02T06:12:32","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-5037","displayTitle":"Sediment Concentrations and Loads Upstream from and through John Redmond Reservoir, East-Central Kansas, 2010–19","title":"Sediment concentrations and loads upstream from and through John Redmond Reservoir, east-central Kansas, 2010–19","docAbstract":"<p>Streambank erosion and reservoir sedimentation are primary concerns of resource managers in Kansas and throughout many regions of the United States and negatively affect flood control, water supply, and recreation. The Cottonwood and upper Neosho Rivers drain into John Redmond Reservoir, and since reservoir completion in 1964, there has been substantial conservation-pool sedimentation and storage loss in John Redmond Reservoir, causing storage capacity losses more rapidly than most other Federal reservoirs in Kansas. The U.S. Geological Survey (USGS), in cooperation with the Kansas Water Office, has monitored water quality (temperature, specific conductance, and turbidity) on the Cottonwood River (upstream from the reservoir) and Neosho River (upstream and downstream from the reservoir) since 2007 with additional sites added in 2009. The purpose of this report is to quantify suspended-sediment concentrations, loads, and yields entering and exiting John Redmond Reservoir during January 1, 2010, through December 31, 2019.</p><p>Three water-quality monitoring sites were upstream from the reservoir (Cottonwood River near Plymouth, Kansas [USGS site 07182250; hereinafter referred to as “Cottonwood”]; Neosho River at Burlingame Road near Emporia, Kans. [USGS site 07179750; hereinafter referred to as “Burlingame”]; and Neosho River at Neosho Rapids, Kans. [USGS site 07182390; hereinafter referred to as “Neosho Rapids”]), and one water-quality monitoring site was downstream from the reservoir (Neosho River at Burlington, Kans. [USGS site 07182510; hereinafter referred to as “Burlington”]). The Neosho Rapids streamgage is downstream from the confluence of the Cottonwood and upper Neosho Rivers and has a contributing drainage area accounting for 91 percent of the total contributing drainage area to John Redmond Reservoir.</p><p>Continuously measured streamflow, water quality, and discrete water-quality data were used to develop updated regression models to compute suspended-sediment concentrations, loads, and yields upstream and downstream from John Redmond Reservoir in east-central Kansas. Several turbidity sensors were deployed during the analysis period, and there are no established relations between the sensors; therefore, individual models for each sensor were developed. Model statistics for the turbidity and suspended-sediment concentration linear regression models were better (based on the coefficient of determination, root mean square error, and model standard percentage error) than the streamflow and suspended-sediment concentration linear regression models, indicating better model performance. Computed concentrations, loads, and yields do not account for the ungaged 9 percent of the drainage basin downstream from the Neosho Rapids streamgage.</p><p>Mean daily suspended-sediment loads upstream from the reservoir were largest at Neosho Rapids (2,250 tons), second largest at Cottonwood (2,180 tons), and smallest at Burlingame (624 tons). Streamflow at Burlington was predominately regulated by reservoir releases, and mean daily suspended-sediment loads were smaller (286 tons) than at upstream sites. Among the upstream sites, Cottonwood had the largest mean daily suspended-sediment concentration (179 milligrams per liter [mg/L]), followed by Neosho Rapids (162 mg/L), and Burlingame (108 mg/L). Burlington had the smallest mean daily suspended-sediment concentration of all sites (46 mg/L).</p><p>Annual reservoir trapping efficiency ranged from 82 to 94 percent, and the largest sediment mass trapped was during 2019 (2,230,000 tons). Reservoir storage decreased an estimated 7,750 acre-feet during 2010 and 2014–19. Using the mean trapping efficiency to estimate suspended-sediment loads during years with missing data (2011–13), the total estimated reservoir storage lost to sedimentation for the analysis period (2010–19) was 8,690 acre-feet, about 17 percent of the remaining storage space reported in 2007. The mean annual sedimentation rate during the analysis period (747 acre-feet per year) was about 85 percent larger than the design sedimentation rate (404 acre-feet per year) originally projected during construction. Different reservoir outflow management strategies, including operating near normal capacity as opposed to higher flood pool levels, could reduce the total reservoir storage lost by 3 percent (about 261 acre-feet), which is equal to 14 percent of the total sediment removed during the dredging operation in 2016.</p><p>During the study period, about 56 percent of the total suspended-sediment load was transported during streamflows greater than the National Weather Service flood action stage at the upstream sites (0.1–5 percent of the record; Cottonwood mean: 48 percent; Burlingame mean: 40 percent; Neosho Rapids mean: 78 percent). Disproportionately large sediment loads were delivered during short periods of time, and localized efforts of stream erosion protection (streambank stabilization, riparian buffers) were likely to be overwhelmed. Precipitation frequency and intensity are projected to continue to increase in this region; therefore, future sediment reduction strategies that account for extreme episodic events may be beneficial. Changes to reservoir outflow management could also minimize sediment accumulation while still preserving flood control. Continued investigation of sediment reduction measures is necessary for future mitigation with the understanding that sedimentation rate is largely driven by high flows. Results from this study can be used to calibrate sediment models, explore sediment reduction strategies, highlight the importance of continued water-quality monitoring to determine effectiveness and changes in sediment transport, and assess the ability of John Redmond Reservoir to support designated uses into the future.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215037","collaboration":"Prepared in cooperation with the Kansas Water Office","usgsCitation":"Kramer, A.R., Peterman-Phipps, C.L., Mahoney, M.D., and Lukasz, B.S., 2021, Sediment concentrations and loads upstream from and through John Redmond Reservoir, east-central Kansas, 2010–19: U.S. Geological Survey Scientific Investigations Report 2021–5037, 49 p., https://doi.org/10.3133/sir20215037.","productDescription":"Report: ix, 50 p; Appendixes: 12; Dataset","numberOfPages":"64","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-119997","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":386084,"rank":11,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2021/5037/sir20215037_appendix09.pdf","text":"Appendix 9","size":"457 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5037 Appendix 9","linkHelpText":"— Model Archive Summary for Suspended-Sediment Concentration at U.S. Geological Survey Site 07182250, Cottonwood River near Plymouth, Kansas, during January 1, 2010, through December 31, 2019"},{"id":386074,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5037/coverthb.jpg"},{"id":386075,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5037/sir20215037.pdf","text":"Report","size":"3.50 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5037"},{"id":386076,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2021/5037/sir20215037_appendix01.pdf","text":"Appendix 1","size":"408 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5037 Appendix 1","linkHelpText":"— Model Archive Summary for Suspended-Sediment Concentration at U.S. Geological Survey Site 07182250, Cottonwood River near Plymouth, Kansas, during January 1, 2010, through April 22, 2015"},{"id":386078,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2021/5037/sir20215037_appendix03.pdf","text":"Appendix 3","size":"432 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5037 Appendix 3","linkHelpText":"— Model Archive Summary for Suspended-Sediment Concentration at U.S. Geological Survey Site 07182390, Neosho River at Neosho Rapids, Kansas, during January 1, 2010, through September 24, 2015"},{"id":386079,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2021/5037/sir20215037_appendix04.pdf","text":"Appendix 4","size":"455 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5037 Appendix 4","linkHelpText":"— Model Archive Summary for Suspended-Sediment Concentration at U.S. Geological Survey Site 07182510, Neosho River at Burlington, Kansas, during January 1, 2010, through October 16, 2015"},{"id":386088,"rank":15,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"U.S. Geological Survey National Water Information System database","linkHelpText":"— USGS water data for the Nation"},{"id":386087,"rank":14,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2021/5037/sir20215037_appendix12.pdf","text":"Appendix 12","size":"451 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5037 Appendix 12","linkHelpText":"— Model Archive Summary for Suspended-Sediment Concentration at U.S. Geological Survey Site 07182510, Neosho River at Burlington, Kansas, during January 1, 2010, through December 31, 2019"},{"id":386086,"rank":13,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2021/5037/sir20215037_appendix11.pdf","text":"Appendix 11","size":"449 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5037 Appendix 11","linkHelpText":"— Model Archive Summary for Suspended-Sediment Concentration at U.S. Geological Survey Site 07182390, Neosho River at Neosho Rapids, Kansas, during January 1, 2010, through December 31, 2019"},{"id":386083,"rank":10,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2021/5037/sir20215037_appendix08.pdf","text":"Appendix 8","size":"427 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5037 Appendix 8","linkHelpText":"— Model Archive Summary for Suspended-Sediment Concentration at U.S. Geological Survey Site 07182510, Neosho River at Burlington, Kansas, during October 23, 2015, through December 31, 2019"},{"id":386082,"rank":9,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2021/5037/sir20215037_appendix07.pdf","text":"Appendix 7","size":"391 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5037 Appendix 7","linkHelpText":"— Model Archive Summary for Suspended-Sediment Concentration at U.S. Geological Survey Site 07182390, Neosho River at Neosho Rapids, Kansas, during November 13, 2015, through December 31, 2019"},{"id":386085,"rank":12,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2021/5037/sir20215037_appendix10.pdf","text":"Appendix 10","size":"418 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5037 Appendix 10","linkHelpText":"— Model Archive Summary for Suspended-Sediment Concentration at U.S. Geological Survey Site 07179750, Neosho River at Burlingame Road near Emporia, Kansas, during January 1, 2010, through December 31, 2019"},{"id":386080,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2021/5037/sir20215037_appendix05.pdf","text":"Appendix 5","size":"376 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5037 Appendix 5","linkHelpText":"— Model Archive Summary for Suspended-Sediment Concentration at U.S. Geological Survey Site 07182250, Cottonwood River near Plymouth, Kansas, during April 22, 2015, through December 31, 2019"},{"id":386081,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2021/5037/sir20215037_appendix06.pdf","text":"Appendix 6","size":"399 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5037 Appendix 6","linkHelpText":"— Model Archive Summary for Suspended-Sediment Concentration at U.S. Geological Survey Site 07179750, Neosho River at Burlingame Road near Emporia, Kansas, during May 2, 2015, through December 31, 2019"},{"id":386077,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2021/5037/sir20215037_appendix02.pdf","text":"Appendix 2","size":"414 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5037 Appendix 2","linkHelpText":"— Model Archive Summary for Suspended-Sediment Concentration at U.S. Geological Survey Site 07179750, Neosho River at Burlingame Road near Emporia, Kansas, during January 1, 2010, through December 16, 2012"}],"country":"United States","state":"Kansas","otherGeospatial":"John Redmond Reservoir","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.52838134765624,\n              38.01131226070673\n            ],\n            [\n              -95.49041748046875,\n              38.01131226070673\n            ],\n            [\n              -95.49041748046875,\n              39.27266344858914\n            ],\n            [\n              -97.52838134765624,\n              39.27266344858914\n            ],\n            [\n              -97.52838134765624,\n              38.01131226070673\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a data-mce-href=\"mailto:%20dc_ks@usgs.gov\" href=\"mailto:%20dc_ks@usgs.gov\">Director</a>, <a data-mce-href=\"https://www.usgs.gov/centers/kswsc\" href=\"https://www.usgs.gov/centers/kswsc\">Kansas Water Science Center</a><br><a data-mce-href=\"https://www.usgs.gov/\" href=\"https://www.usgs.gov/\">U.S. Geological Survey</a><br>1217 Biltmore Drive<br>Lawrence, KS 66049</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Streamflow Conditions and Continuously Monitored Water-Quality Variables</li><li>Regression Models and Computed Concentrations, Loads, and Yields for Suspended Sediment</li><li>Summary</li><li>References Cited</li><li>Appendixes 1–12</li><li>Appendix 13</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2021-06-02","noUsgsAuthors":false,"publicationDate":"2021-06-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Kramer, Ariele R. 0000-0002-7075-3310 akramer@usgs.gov","orcid":"https://orcid.org/0000-0002-7075-3310","contributorId":185245,"corporation":false,"usgs":true,"family":"Kramer","given":"Ariele","email":"akramer@usgs.gov","middleInitial":"R.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":816715,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterman-Phipps, Cara L. 0000-0003-1822-2552","orcid":"https://orcid.org/0000-0003-1822-2552","contributorId":259166,"corporation":false,"usgs":true,"family":"Peterman-Phipps","given":"Cara","email":"","middleInitial":"L.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":816716,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mahoney, Matthew D. 0000-0002-9008-7132","orcid":"https://orcid.org/0000-0002-9008-7132","contributorId":206054,"corporation":false,"usgs":true,"family":"Mahoney","given":"Matthew","email":"","middleInitial":"D.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":816717,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lukasz, Bradley S. 0000-0001-5438-5901","orcid":"https://orcid.org/0000-0001-5438-5901","contributorId":225021,"corporation":false,"usgs":true,"family":"Lukasz","given":"Bradley","email":"","middleInitial":"S.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":816718,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70229123,"text":"70229123 - 2021 - Accelerating ecological sciences from above: Spatial contrastive learning for remote sensing","interactions":[],"lastModifiedDate":"2022-03-02T00:57:00.423902","indexId":"70229123","displayToPublicDate":"2021-06-01T18:50:22","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10143,"text":"Proceedings of the AAAI Conference on Artificial Intelligence","active":true,"publicationSubtype":{"id":10}},"title":"Accelerating ecological sciences from above: Spatial contrastive learning for remote sensing","docAbstract":"<p><span>The rise of neural networks has opened the door for automatic analysis of remote sensing data. A challenge to using this machinery for computational sustainability is the necessity of massive labeled data sets, which can be cost-prohibitive for many non-profit organizations. The primary motivation for this work is one such problem; the efficient management of invasive species -- invading flora and fauna that are estimated to cause damages in the billions of dollars annually. As an ongoing collaboration with the New York Natural Heritage Program, we consider the use of unsupervised deep learning techniques for dimensionality reduction of remote sensing images, which can reduce sample complexity for downstream tasks and decreases the need for large labeled data sets. We consider spatially augmenting contrastive learning by training neural networks to correctly classify two nearby patches of a landscape as such. We demonstrate that this approach improves upon previous methods and naive classification for a large-scale data set of remote sensing images derived from invasive species observations obtained over 30 years. Additionally, we simulate deployment in the field via active learning and evaluate this method on another important challenge in computational sustainability -- landcover classification -- and again find that it outperforms previous baselines.</span></p>","language":"English","publisher":"Association for the Advancement of Artificial Intelligence","usgsCitation":"Bjorck, J., Shi, Q., Rapazzo, B.H., Dean, J., Fuller, A.K., Brown-Lima, C., and Gomes, C., 2021, Accelerating ecological sciences from above: Spatial contrastive learning for remote sensing: Proceedings of the AAAI Conference on Artificial Intelligence, v. 35, no. 17, 10 p.","productDescription":"10 p.","ipdsId":"IP-122790","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":396619,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"17","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bjorck, Johan","contributorId":287231,"corporation":false,"usgs":false,"family":"Bjorck","given":"Johan","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":836576,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shi, Qinru","contributorId":287233,"corporation":false,"usgs":false,"family":"Shi","given":"Qinru","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":836577,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rapazzo, Brendan H.","contributorId":287234,"corporation":false,"usgs":false,"family":"Rapazzo","given":"Brendan","email":"","middleInitial":"H.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":836578,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dean, Jennifer","contributorId":287236,"corporation":false,"usgs":false,"family":"Dean","given":"Jennifer","affiliations":[{"id":61506,"text":"New York Natural Heritage Program","active":true,"usgs":false}],"preferred":false,"id":836579,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":836575,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brown-Lima, Carrie","contributorId":287237,"corporation":false,"usgs":false,"family":"Brown-Lima","given":"Carrie","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":836580,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gomes, Carla","contributorId":287239,"corporation":false,"usgs":false,"family":"Gomes","given":"Carla","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":836581,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70220688,"text":"ofr20211046 - 2021 - Synthetic aperture radar and optical mapping used to monitor change and replacement of Phragmites australis marsh in the Lower Mississippi River Delta, Louisiana","interactions":[],"lastModifiedDate":"2021-06-02T11:49:04.647575","indexId":"ofr20211046","displayToPublicDate":"2021-06-01T15:52:30","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-1046","displayTitle":"Synthetic Aperture Radar and Optical Mapping Used to Monitor Change and Replacement of <i>Phragmites australis</i> Marsh in the Lower Mississippi River Delta, Louisiana","title":"Synthetic aperture radar and optical mapping used to monitor change and replacement of Phragmites australis marsh in the Lower Mississippi River Delta, Louisiana","docAbstract":"<p>Synthetic aperture radar (SAR) mapping of density as an enhancement of <i>Phragmites australis</i> optical live fractional cover (LFC) mapping was carried out in the lower Mississippi Delta during 2016 to 2019. Also, as part of the study, the replacement of <i>P. australis</i> with elephant-ear was analyzed. To that end, yearly maps from 2016 to 2019 of L-band SAR horizontal send, vertical receive (HV) data representing marsh density were produced for the lower Mississippi River Delta. The mapping indicated high local variability within broad yearly density change in <i>P. australis</i> marsh. LFC mapping indicated a similar pattern of broad yearly change. That overall density and LFC linear correspondence was confirmed with regressions of <i>P. australis</i> marsh HV-density data and optical-LFC data. Local differences reflected as high scatter in the plots. Based on those results, a combined LFC and HV-density assessment tracker of <i>P. australis</i> condition was developed. Major findings from the use of the trajectory tool were the high decrease in HV density from 2016 to 2017, the identification of severely degraded <i>P. australis</i> marsh and European <i>P. australis</i> marsh in some areas, and indications of linkage between the density decline from 2016 to 2017 and the elephant-ear replacement from 2018 to 2019. The trajectory tool application also <span>indicated an</span><span>&nbsp;</span><span>inverse</span> relationship between elephant-ear occurrence and HV-density changes from 2018 to 2019. A similar but weaker relationship was found between elephant-ear and LFC. These relationships may provide a means for early detection of replacement of <i>P. australis</i> marsh by elephant-ear and other unwanted plant species.<a name=\"_ftn1\" href=\"#_ftnref1\" data-mce-href=\"#_ftnref1\"></a></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211046","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Ramsey, E.W., III, and Rangoonwala, A., 2021, Synthetic aperture radar and optical mapping used to monitor change and replacement of Phragmites australis marsh in the lower Mississippi River Delta, Louisiana: U.S. Geological Survey Open-File Report 2021–1046, 19 p., https://doi.org/10.3133/ofr20211046.","productDescription":"vii, 19 p.","numberOfPages":"32","onlineOnly":"Y","ipdsId":"IP-122730","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":385955,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2021/1046/images"},{"id":385911,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1046/coverthb.jpg"},{"id":385912,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1046/ofr20211046.pdf","text":"Report","size":"3.96 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021–1046"}],"country":"United States","state":"Louisiana","otherGeospatial":"Lower Mississippi River Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.41497802734375,\n              29.054969241647125\n            ],\n            [\n              -88.97689819335938,\n              29.054969241647125\n            ],\n            [\n              -88.97689819335938,\n              29.41208667100814\n            ],\n            [\n              -89.41497802734375,\n              29.41208667100814\n            ],\n            [\n              -89.41497802734375,\n              29.054969241647125\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/wetland-and-aquatic-research-center-warc\" href=\"https://www.usgs.gov/centers/wetland-and-aquatic-research-center-warc\">Wetland and Aquatic Research Center</a><br><a data-mce-href=\"https://www.usgs.gov/\" href=\"https://www.usgs.gov/\">U.S. Geological Survey</a><br>700 Cajundome Blvd.<br>Lafayette, Louisiana 70506&nbsp;</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2021-06-01","noUsgsAuthors":false,"publicationDate":"2021-06-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Ramsey III, Elijah W. 0000-0002-4518-5796","orcid":"https://orcid.org/0000-0002-4518-5796","contributorId":214746,"corporation":false,"usgs":true,"family":"Ramsey III","given":"Elijah W.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":816420,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rangoonwala, Amina 0000-0002-0556-0598","orcid":"https://orcid.org/0000-0002-0556-0598","contributorId":212072,"corporation":false,"usgs":true,"family":"Rangoonwala","given":"Amina","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":816421,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70221494,"text":"70221494 - 2021 - Diverse patterns of migratory timing, site use, and site fidelity by Alaska-breeding Whimbrels","interactions":[],"lastModifiedDate":"2021-06-30T19:15:21.795401","indexId":"70221494","displayToPublicDate":"2021-06-01T15:34:28","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2284,"text":"Journal of Field Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Diverse patterns of migratory timing, site use, and site fidelity by Alaska-breeding Whimbrels","docAbstract":"<div id=\"article__content\" class=\"col-sm-12 col-md-8 col-lg-8 article__content article-row-left\"><div class=\"article__body \"><div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Birds that conduct long-distance migrations exhibit varied patterns of consistency in migratory timing and site use. Understanding variation in these traits among populations can help uncover mechanisms driving migratory behaviors and identify potential population threats. Whimbrels (<i>Numenius phaeopus</i>) are long-distance migratory shorebirds with a Holarctic breeding distribution, and recent studies have documented population-specific migrations that vary in duration (short to long) and frequency of stops (none/few to multiple). Factors driving these population-specific differences are unclear. We studied the migration ecology of Whimbrels breeding in Alaska, USA, using satellite transmitters deployed from 2006 to 2010 and tracked through 2015. Whimbrels moved entirely within the Pacific Americas Flyway, and some conducted nonstop flights that exceeded seven days across ~&nbsp;8700&nbsp;km. Birds dispersed across numerous sites throughout the flyway, often using agriculture or aquaculture habitats. Whimbrels generally exhibited fidelity to breeding and non-breeding sites, but typically only exhibited fidelity to staging sites used prior to long, nonstop migratory flights. The duration of migration for Whimbrels at more southern non-breeding locations was longer than for those at more northern non-breeding sites, and birds at more southern sites also terminated southbound migration later and initiated northbound migration earlier than birds at more northern sites. Alaska-breeding Whimbrels exhibited greater variation in migratory behaviors than those in other populations in the species’ range. We attribute this within-population diversity to the extensive breadth of non-breeding distributions (~&nbsp;70° latitude across ~&nbsp;8600&nbsp;km), a range that naturally shaped individual responses to unequal migratory demands.</p></div></div></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/jofo.12365","usgsCitation":"Ruthrauff, D.R., Harwood, C.M., Tibbitts, T., Warnock, N., and Gill, R., 2021, Diverse patterns of migratory timing, site use, and site fidelity by Alaska-breeding Whimbrels: Journal of Field Ornithology, v. 92, no. 2, p. 156-172, https://doi.org/10.1111/jofo.12365.","productDescription":"7 p.","startPage":"156","endPage":"172","ipdsId":"IP-123907","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":436329,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P978PX2X","text":"USGS data release","linkHelpText":"Tracking Data for Whimbrels (Numenius phaeopus)"},{"id":386591,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Colville River, Kanuti National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -152.19085693359375,\n              65.93639447843205\n            ],\n            [\n              -150.743408203125,\n              65.93639447843205\n            ],\n            [\n              -150.743408203125,\n              66.54061075985513\n            ],\n            [\n              -152.19085693359375,\n              66.54061075985513\n            ],\n            [\n              -152.19085693359375,\n              65.93639447843205\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -151.71295166015625,\n              69.80646459049056\n            ],\n            [\n              -150.83953857421875,\n              69.80646459049056\n            ],\n            [\n              -150.83953857421875,\n              70.2092956950204\n            ],\n            [\n              -151.71295166015625,\n              70.2092956950204\n            ],\n            [\n              -151.71295166015625,\n              69.80646459049056\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"92","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ruthrauff, Daniel R. 0000-0003-1355-9156 druthrauff@usgs.gov","orcid":"https://orcid.org/0000-0003-1355-9156","contributorId":4181,"corporation":false,"usgs":true,"family":"Ruthrauff","given":"Daniel","email":"druthrauff@usgs.gov","middleInitial":"R.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":817854,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harwood, Christopher M.","contributorId":260398,"corporation":false,"usgs":false,"family":"Harwood","given":"Christopher","email":"","middleInitial":"M.","affiliations":[{"id":52582,"text":"US Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":817855,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tibbitts, T. Lee 0000-0002-0290-7592","orcid":"https://orcid.org/0000-0002-0290-7592","contributorId":224104,"corporation":false,"usgs":true,"family":"Tibbitts","given":"T. Lee","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":817856,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Warnock, Nils","contributorId":64534,"corporation":false,"usgs":false,"family":"Warnock","given":"Nils","email":"","affiliations":[],"preferred":false,"id":817857,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gill, Robert E. Jr. 0000-0002-6385-4500 rgill@usgs.gov","orcid":"https://orcid.org/0000-0002-6385-4500","contributorId":171747,"corporation":false,"usgs":true,"family":"Gill","given":"Robert E.","suffix":"Jr.","email":"rgill@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":817859,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70221885,"text":"70221885 - 2021 - Multivariate classification of the crude oil petroleum systems in southeast Texas, USA, using conventional and compositional data analysis of biomarkers","interactions":[],"lastModifiedDate":"2021-07-13T18:57:42.166406","indexId":"70221885","displayToPublicDate":"2021-06-01T13:53:23","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Multivariate classification of the crude oil petroleum systems in southeast Texas, USA, using conventional and compositional data analysis of biomarkers","docAbstract":"<p><span>Chemically, petroleum is an extraordinarily complex mixture of different types of hydrocarbons that are now possible to isolate and identify because of advances in geochemistry. Here, we use biomarkers and carbon isotopes to establish genetic differences and similarities among oil samples. Conventional approaches for evaluating biomarker and carbon isotope relative abundances include statistical techniques such as principal component and cluster analysis. Considering that proportions of the different hydrocarbon molecules are relative parts of a laboratory sample, the data are compositional in nature, thus requiring the use of log-ratio approaches for adequate mathematical modeling. We apply both traditional and compositional modeling approaches to crude oil samples from an onshore area of about 50,000 square miles in southeast Texas. The data comprise 177 crude oil samples from producing oil fields that include key biomarkers, elemental, and isotopic values commonly used in source rock correlation studies. Our results indicate that compositional modeling has higher discriminating power and lower uncertainty than the traditional approach, allowing the identification of up to 16 clusters. Each cluster represents one oil family from a source rock organofacies ranging from Carboniferous to Paleogene. The families provide new insights into important petroleum systems in the Texas onshore region of the Gulf of Mexico sedimentary basin.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Advances in compositional data analysis—Festschrift in honor of Vera-Pawlowsky-Glahn","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-030-71175-7_16","usgsCitation":"Olea, R., Martin-Fernandez, J.A., and Craddock, W.H., 2021, Multivariate classification of the crude oil petroleum systems in southeast Texas, USA, using conventional and compositional data analysis of biomarkers, chap. <i>of</i> Advances in compositional data analysis—Festschrift in honor of Vera-Pawlowsky-Glahn, p. 303-307, https://doi.org/10.1007/978-3-030-71175-7_16.","productDescription":"5 p.","startPage":"303","endPage":"307","ipdsId":"IP-112995","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":387163,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.119140625,\n              25.97779895546436\n            ],\n            [\n              -96.767578125,\n              27.68352808378776\n            ],\n            [\n              -95.11962890625,\n              28.497660832963472\n            ],\n            [\n              -93.8232421875,\n              29.49698759653577\n            ],\n            [\n              -93.97705078125,\n              30.20211367909724\n            ],\n            [\n              -95.55908203125,\n              30.240086360983426\n            ],\n            [\n              -97.3388671875,\n              28.9600886880068\n            ],\n            [\n              -98.23974609375,\n              27.586197857692664\n            ],\n            [\n              -97.91015624999999,\n              26.13571361317392\n            ],\n            [\n              -97.119140625,\n              25.97779895546436\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2021-06-02","publicationStatus":"PW","contributors":{"editors":[{"text":"Fitzmoser, Peter","contributorId":261055,"corporation":false,"usgs":false,"family":"Fitzmoser","given":"Peter","email":"","affiliations":[],"preferred":false,"id":819247,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Hron, Karel","contributorId":261056,"corporation":false,"usgs":false,"family":"Hron","given":"Karel","email":"","affiliations":[],"preferred":false,"id":819248,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Martin-Fernandez,  Josep Antoni","contributorId":208528,"corporation":false,"usgs":false,"family":"Martin-Fernandez","given":" Josep Antoni","affiliations":[],"preferred":false,"id":819249,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Palarea-Albaladejo, Javier","contributorId":120518,"corporation":false,"usgs":true,"family":"Palarea-Albaladejo","given":"Javier","email":"","affiliations":[],"preferred":false,"id":819250,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Olea, Ricardo A. 0000-0003-4308-0808","orcid":"https://orcid.org/0000-0003-4308-0808","contributorId":224285,"corporation":false,"usgs":true,"family":"Olea","given":"Ricardo A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":819213,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin-Fernandez, J. A 0000-0003-2366-1592","orcid":"https://orcid.org/0000-0003-2366-1592","contributorId":260957,"corporation":false,"usgs":false,"family":"Martin-Fernandez","given":"J.","email":"","middleInitial":"A","affiliations":[{"id":28183,"text":"University of Girona","active":true,"usgs":false}],"preferred":false,"id":819214,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Craddock, William H. 0000-0002-4181-4735 wcraddock@usgs.gov","orcid":"https://orcid.org/0000-0002-4181-4735","contributorId":3411,"corporation":false,"usgs":true,"family":"Craddock","given":"William","email":"wcraddock@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":819215,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70221088,"text":"ds1138 - 2021 - Distribution and demography of coastal cactus wrens (Campylorhynchus brunneicapillus) in southern San Diego County, California—2020 data summary","interactions":[],"lastModifiedDate":"2021-06-02T11:41:30.374625","indexId":"ds1138","displayToPublicDate":"2021-06-01T13:17:25","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1138","displayTitle":"Distribution and Demography of Coastal Cactus Wrens (<i>Campylorhynchus brunneicapillus</i>) in Southern San Diego County, California—2020 Data Summary","title":"Distribution and demography of coastal cactus wrens (Campylorhynchus brunneicapillus) in southern San Diego County, California—2020 data summary","docAbstract":"<h1>Executive Summary</h1><p>Surveys for coastal Cactus Wren (<i>Campylorhynchus brunneicapillus</i>) were done in 378 established plots in southern San Diego County in 2020, encompassing three genetic clusters (Otay, Lake Jennings, and Sweetwater/Encanto genetic clusters). Two surveys were completed at each plot between March 1 and July 31. Cactus Wrens were detected in 131 plots (35 percent of plots). This is a slight increase over the proportion of occupied plots in 2019. One hundred and nine Cactus Wren territories were detected across all survey plots in 2020, an increase from 83 in 2019. At least 85 percent of Cactus Wren territories were occupied by pairs, and 62 fledglings were observed in 2020.</p><p>There were 89 color-banded Cactus Wrens observed in 2020, 84 of which we could identify to individual. Adults of known age ranged from 1 to at least 6 years old. Adult Cactus Wrens moved on average 0.2 kilometers (km; maximum 3.8 km) from their 2019 territories to their 2020 territories. Cactus Wrens that fledged in 2019 moved on average 1.2 km (maximum 9.9 km) to their 2020 territories. No known-identity Cactus Wrens moved between genetic clusters from 2019 to 2020.</p><p>Vegetation at Cactus Wren plots typically was dominated by coastal sage scrub shrubs such as California sagebrush (<i>Artemisia californica</i>), lemonadeberry (<i>Rhus integrifolia</i>), California buckwheat (<i>Eriogonum fasciculatum</i>), and broom baccharis (<i>Baccharis sarothroides</i>). Very little dead or unhealthy cactus was observed within Cactus Wren survey plots. Thirty-eight percent of plots had at least 25 percent of the cactus crowded or overtopped by vines and shrubs. Non-native annual cover was greater than 25 percent at 35 percent of plots.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1138","usgsCitation":"Lynn, S., and Kus, B.E., 2021, Distribution and demography of coastal cactus wrens (Campylorhynchus brunneicapillus) in southern San Diego County, California—2020 data summary: U.S. Geological Survey Data Series 1138, 12 p., https://doi.org/10.3133/ds1138.","productDescription":"Report: vi, 12 p.; Data Release","numberOfPages":"12","onlineOnly":"Y","ipdsId":"IP-126296","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":386066,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F76H4FK5","linkHelpText":"Surveys and Monitoring of Coastal Cactus Wren in Southern San Diego County"},{"id":386065,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/ds/1138/images"},{"id":386064,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/ds/1138/ds1138.xml"},{"id":386063,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1138/ds1138.pdf","text":"Report","size":"2.5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":386062,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1138/covrthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Southern San Diego County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.32299804687499,\n              32.48196313217176\n            ],\n            [\n              -116.7132568359375,\n              32.48196313217176\n            ],\n            [\n              -116.7132568359375,\n              32.8334428466495\n            ],\n            [\n              -117.32299804687499,\n              32.8334428466495\n            ],\n            [\n              -117.32299804687499,\n              32.48196313217176\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director,<br><a href=\"https://www.usgs.gov/%20centers/%20werc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/ centers/ werc\">Western Ecological Research Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>3020 State University Drive East<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Acknowledgments&nbsp;&nbsp;</li><li>Executive Summary&nbsp;</li><li>Introduction&nbsp;&nbsp;</li><li>Study Area and Methods&nbsp;</li><li>Results&nbsp;&nbsp;</li><li>Summary&nbsp;</li><li>References Cited&nbsp;</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2021-06-01","noUsgsAuthors":false,"publicationDate":"2021-06-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Lynn, Suellen 0000-0003-1543-0209 suellen_lynn@usgs.gov","orcid":"https://orcid.org/0000-0003-1543-0209","contributorId":3843,"corporation":false,"usgs":true,"family":"Lynn","given":"Suellen","email":"suellen_lynn@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":816720,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kus, Barbara E. 0000-0002-3679-3044 barbara_kus@usgs.gov","orcid":"https://orcid.org/0000-0002-3679-3044","contributorId":3026,"corporation":false,"usgs":true,"family":"Kus","given":"Barbara E.","email":"barbara_kus@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":816721,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70229659,"text":"70229659 - 2021 - Greater Yellowstone climate assessment: Past, present, and future climate change in the greater Yellowstone watersheds","interactions":[],"lastModifiedDate":"2022-03-15T15:41:13.424217","indexId":"70229659","displayToPublicDate":"2021-06-01T11:57:17","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":10388,"text":"Greater Yellowstone Climate Assessment","active":true,"publicationSubtype":{"id":3}},"title":"Greater Yellowstone climate assessment: Past, present, and future climate change in the greater Yellowstone watersheds","docAbstract":"<p>The Greater Yellowstone Area (GYA) is one of the last remaining large and nearly intact temperate ecosystems on Earth. GYA was originally defined in the 1970s as the Greater Yellowstone Ecosystem, which encompassed the minimum range of the grizzly bear. The boundary now includes about 22 million acres (8.9 million ha) in northwestern Wyoming, south central Montana, and eastern Idaho (Figure ES-1). Two national parks, five national forests, three wildlife refuges, 20 counties, and state and private lands lie within the GYA boundary (Figure ES-1). The Tribal Nations of the Eastern Shoshone, Northern Arapaho, Apsa´alooke/Crow, Northern Cheyenne, Shoshone, and Bannock have reservations in and near the Greater Yellowstone Area, and 27 Tribes are formally recognized to have historical connections to the lands and resources of the region. Natural resources sensitive to climate change connect many of the major economic activities of the GYA, including tourism and recreation, agriculture, and energy development.</p>","language":"English","publisher":"Montana State University","doi":"10.15788/GYCA2021","usgsCitation":"Hostetler, S.W., Whitlock, C., Shuman, B., Liefert, D., Wolf Drimal, C., and Bischke, S., 2021, Greater Yellowstone climate assessment: Past, present, and future climate change in the greater Yellowstone watersheds: Greater Yellowstone Climate Assessment, 218 p., https://doi.org/10.15788/GYCA2021.","productDescription":"218 p.","ipdsId":"IP-127170","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":452032,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15788/gyca2021","text":"Publisher Index Page"},{"id":436330,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P972JAUC","text":"USGS data release","linkHelpText":"Data release for Greater Yellowstone Climate Assessment (vol 1), Chapter 7. Future Water Projections for the GYA"},{"id":397116,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Greater Yellowstone watersheds","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.54394531249999,\n              42.09822241118974\n            ],\n            [\n              -108.2373046875,\n              42.09822241118974\n            ],\n            [\n              -108.2373046875,\n              45.9511496866914\n            ],\n            [\n              -112.54394531249999,\n              45.9511496866914\n            ],\n            [\n              -112.54394531249999,\n              42.09822241118974\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2021-06-23","publicationStatus":"PW","contributors":{"editors":[{"text":"Alder, Jay R. 0000-0003-2378-2853 jalder@usgs.gov","orcid":"https://orcid.org/0000-0003-2378-2853","contributorId":5118,"corporation":false,"usgs":true,"family":"Alder","given":"Jay","email":"jalder@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":837847,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Pederson, Gregory T. 0000-0002-6014-1425 gpederson@usgs.gov","orcid":"https://orcid.org/0000-0002-6014-1425","contributorId":3106,"corporation":false,"usgs":true,"family":"Pederson","given":"Gregory","email":"gpederson@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":837848,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Hostetler, Steven W. 0000-0003-2272-8302 swhostet@usgs.gov","orcid":"https://orcid.org/0000-0003-2272-8302","contributorId":3249,"corporation":false,"usgs":true,"family":"Hostetler","given":"Steven","email":"swhostet@usgs.gov","middleInitial":"W.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":837841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whitlock, Cathy","contributorId":79745,"corporation":false,"usgs":false,"family":"Whitlock","given":"Cathy","email":"","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":837842,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shuman, Bryan","contributorId":205232,"corporation":false,"usgs":false,"family":"Shuman","given":"Bryan","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":837843,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liefert, David 0000-0001-7682-6835","orcid":"https://orcid.org/0000-0001-7682-6835","contributorId":288395,"corporation":false,"usgs":false,"family":"Liefert","given":"David","email":"","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":837844,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wolf Drimal, Charles","contributorId":288398,"corporation":false,"usgs":false,"family":"Wolf Drimal","given":"Charles","email":"","affiliations":[{"id":61749,"text":"Greater Yellowstone Coalition","active":true,"usgs":false}],"preferred":false,"id":837845,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bischke, Scott","contributorId":288399,"corporation":false,"usgs":false,"family":"Bischke","given":"Scott","email":"","affiliations":[{"id":61752,"text":"Mountain Works","active":true,"usgs":false}],"preferred":false,"id":837846,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70255078,"text":"70255078 - 2021 - Modeling opportunistic exploitation: Increased extinction risk when targeting more than one species","interactions":[],"lastModifiedDate":"2024-06-12T16:51:25.835725","indexId":"70255078","displayToPublicDate":"2021-06-01T11:48:32","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Modeling opportunistic exploitation: Increased extinction risk when targeting more than one species","docAbstract":"<p><span>Extinction rates are increasing globally, and direct exploitation is an important driver. Many pathways have been proposed to explain how exploitation can lead to extinction. One of these proposed but understudied multispecies pathways is opportunistic exploitation, which occurs when a highly valuable but&nbsp;</span>rare species<span>&nbsp;is encountered and targeted during exploitation of a less valuable, but more common, target species. Using individual-based simulations of exploiters in a two-species spatial model, we contribute evidence which supports that opportunistic exploitation increases depletion when compared to single-species exploitation, and is as detrimental to the more valuable,&nbsp;rare species&nbsp;as the anthropogenic&nbsp;Allee effect&nbsp;(where price increases with rarity) and the Allee effect (where population growth declines at low abundance). The most important factors affecting the impact of opportunistic exploitation are gross revenue and abundance of the more common, less valuable species, while ease of capture and growth rate of the more common, less valuable species are less important. Thus, valuable but rare species are most at risk when harvested alongside low-value abundant species; this information is relevant for managers focused on protection of rare species in multispecies systems.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2021.109611","usgsCitation":"Thurner, S., Converse, S.J., and Branch, T., 2021, Modeling opportunistic exploitation: Increased extinction risk when targeting more than one species: Ecological Modelling, v. 454, 109611, 12 p., https://doi.org/10.1016/j.ecolmodel.2021.109611.","productDescription":"109611, 12 p.","ipdsId":"IP-126753","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":452034,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2021.109611","text":"Publisher Index Page"},{"id":430024,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"454","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Thurner, S.","contributorId":338523,"corporation":false,"usgs":false,"family":"Thurner","given":"S.","email":"","affiliations":[{"id":12729,"text":"UW","active":true,"usgs":false}],"preferred":false,"id":903328,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":903329,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Branch, Trevor A.","contributorId":172088,"corporation":false,"usgs":false,"family":"Branch","given":"Trevor A.","affiliations":[],"preferred":false,"id":903330,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70219911,"text":"70219911 - 2021 - Fisheries research and monitoring activities of the Lake Erie Biological Station, 2020","interactions":[],"lastModifiedDate":"2021-09-17T16:44:29.465926","indexId":"70219911","displayToPublicDate":"2021-06-01T11:44:02","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":8434,"text":"Lake Erie Biological Station Annual Report","active":true,"publicationSubtype":{"id":4}},"title":"Fisheries research and monitoring activities of the Lake Erie Biological Station, 2020","docAbstract":"This report presents biomass-based summaries of fish communities in the West Basin of Lake Erie derived from USGS bottom trawl surveys conducted from 2013 to 2020 during June and September. The survey design provided temporal and spatial coverage that did not exist in the interagency trawl database, and thus complemented the August ODNR-OMNRF effort to reinforce stock assessments with more robust data. Analyses herein evaluated trends in: total biomass, abundance of dominant predator and forage species, non-native species composition, biodiversity and community structure. Data from this effort can be explored interactively online\n(https://lebs.shinyapps.io/western-basin/), and are accessible for download (https://www.sciencebase.gov/catalog/item/6013031fd34e162231fed756, Keretz et al. 2021). Annual survey data are added to these sources as the data become available.","language":"English","publisher":"U.S. Geological Survey","usgsCitation":"Keretz, K.R., Kocovsky, P., Kraus, R., Roberts, J., and Schmitt, J., 2021, Fisheries research and monitoring activities of the Lake Erie Biological Station, 2020: Lake Erie Biological Station Annual Report, 12 p.","productDescription":"12 p.","ipdsId":"IP-126685","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":389405,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":389403,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.sealamprey.org/pubs/lake_committees/common_docs/2020%20LEC%20report_Final.pdf"}],"country":"Canada, United States","otherGeospatial":"Lake Erie","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      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pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":150837,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":814381,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kraus, Richard 0000-0003-4494-1841","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":216548,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":814382,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roberts, James 0000-0002-4193-610X jroberts@usgs.gov","orcid":"https://orcid.org/0000-0002-4193-610X","contributorId":5453,"corporation":false,"usgs":true,"family":"Roberts","given":"James","email":"jroberts@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":814383,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmitt, Joseph 0000-0002-8354-4067","orcid":"https://orcid.org/0000-0002-8354-4067","contributorId":221020,"corporation":false,"usgs":true,"family":"Schmitt","given":"Joseph","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":814384,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70220465,"text":"70220465 - 2021 - Status and trends of pelagic and benthic prey fish populations in Lake Michigan, 2020","interactions":[],"lastModifiedDate":"2021-09-17T16:15:30.362165","indexId":"70220465","displayToPublicDate":"2021-06-01T11:13:08","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":9350,"text":"Lake Michigan Forage Report","active":true,"publicationSubtype":{"id":3}},"title":"Status and trends of pelagic and benthic prey fish populations in Lake Michigan, 2020","docAbstract":"Lakewide acoustic (AC) and bottom trawl (BT) surveys are conducted annually to generate indices of pelagic and benthic prey fish densities in Lake Michigan.  The BT survey had been conducted each fall from 1973 through 2019 using 12-m trawls at depths ranging from 9 to 110 m and included 70 fixed locations distributed across seven transects; this survey estimates densities of seven prey fish species (i.e., alewife, bloater, rainbow smelt, deepwater sculpin, slimy sculpin, round goby, ninespine stickleback) as well as for age-0 yellow perch and large burbot. The AC survey, which serves to estimate densities of three prey fish species (i.e., alewife, bloater, and rainbow smelt), had been conducted each late summer/early fall from 2004-2019. The data generated from these surveys are used to estimate various population parameters that are, in turn, used by state and tribal agencies in managing Lake Michigan fish stocks.  \n\nThe 2020 COVID-19 pandemic severely limited the Lake Michigan pelagic and benthic prey fish surveys.  While the AC survey was not conducted, 32 tows across three of seven standard BT transects (Saugatuck, Waukegan and Port Washington) were completed during an abbreviated survey.  Total prey fish biomass density from the abbreviated BT survey was 1.91 kg/ha, continuing a recent trend of historically low estimates below the long-term (i.e., 1973-2020) average of 34.94 kg/ha.  Mean biomass of yearling and older (YAO) alewives in 2020 was 0.025 ± 0.017 kg/ha, tied for the lowest ever recorded on the BT survey. No age-0 alewife were captured in the bottom trawl and of the limited number (n=16) of alewife collected, none were older than age four. Bloater (1.39 kg/ha) and deepwater sculpin (0.47 kg/ha) accounted for greatest proportion of biomass in the BT survey, while biomass density of slimy sculpin, round goby and rainbow smelt were all ≤ 0.01 kg/ha. While caution must be taken when interpreting the results of the abbreviated BT survey, the estimates suggest that prey fish densities remain well below historical values.","language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Tingley, R.W., Bunnell, D.B., Warner, D., Madenjian, C.P., and Dieter, P., 2021, Status and trends of pelagic and benthic prey fish populations in Lake Michigan, 2020: Lake Michigan Forage Report, 19 p.","productDescription":"19 p.","ipdsId":"IP-127217","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":389398,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":389397,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.glfc.org/pubs/lake_committees/common_docs/LM_Forage_Report_2021_For_Dissemination.pdf"}],"country":"United States","otherGeospatial":"Lake Michigan","geographicExtents":"{\n  \"type\": 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,{"id":70220890,"text":"70220890 - 2021 - Ambassador wolves participate In scientific research","interactions":[],"lastModifiedDate":"2022-03-07T17:15:06.628895","indexId":"70220890","displayToPublicDate":"2021-06-01T11:08:50","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2093,"text":"International Wolf","active":true,"publicationSubtype":{"id":10}},"title":"Ambassador wolves participate In scientific research","docAbstract":"<p>The International Wolf Center wolves are famous for providing unique educational opportunities to visitors to Ely and to people around the globe. Less known, are the contributions these wolves make to scientific research. Recently the Center’s Exhibit Pack were subjects of&nbsp; behavioral and acoustic research.</p>","language":"English","publisher":"International Wolf Center","usgsCitation":"Barber-Meyer, S., Schmidt, L., Palacios, V., and Marti-Domken, B., 2021, Ambassador wolves participate In scientific research: International Wolf, v. 2021, no. Summer, p. 4-8.","productDescription":"5 p.","startPage":"4","endPage":"8","ipdsId":"IP-125450","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":396796,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":396794,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://wolf.org/wolf-info/wolf-magazine/summer-2021/"}],"volume":"2021","issue":"Summer","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Barber-Meyer, Shannon 0000-0002-3048-2616","orcid":"https://orcid.org/0000-0002-3048-2616","contributorId":217939,"corporation":false,"usgs":true,"family":"Barber-Meyer","given":"Shannon","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":816587,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmidt, Lori","contributorId":192924,"corporation":false,"usgs":false,"family":"Schmidt","given":"Lori","affiliations":[],"preferred":false,"id":816588,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Palacios, Vicente","contributorId":73043,"corporation":false,"usgs":true,"family":"Palacios","given":"Vicente","email":"","affiliations":[],"preferred":false,"id":816589,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marti-Domken, Barbara","contributorId":288087,"corporation":false,"usgs":false,"family":"Marti-Domken","given":"Barbara","affiliations":[],"preferred":false,"id":816590,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70229042,"text":"70229042 - 2021 - Diel patterns of predation and fledging at nests of four species of grassland songbirds","interactions":[],"lastModifiedDate":"2022-02-28T17:09:30.743422","indexId":"70229042","displayToPublicDate":"2021-06-01T10:56:56","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Diel patterns of predation and fledging at nests of four species of grassland songbirds","docAbstract":"<p>Although it is common for nestlings to exhibit a strong bias for fledging in the morning, the mechanisms underlying this behavior are not well understood. Avoiding predation risk has been proposed as a likely mechanism by a number of researchers. We used video surveillance records from studies of grassland birds nesting in North Dakota, Minnesota, and Wisconsin to determine the diel pattern of nest predation and fledging patterns of four ground-nesting obligate grassland passerines (Grasshopper Sparrow (<i>Ammodramus savannarum</i>), Savannah Sparrow (<i>Passerculus sandwichensis</i>), Bobolink (<i>Dolichonyx oryzivorus</i>), and Eastern Meadowlark (<i>Sturnella magna</i>)). We used the nest predation pattern as a surrogate for predation activity to test whether nestlings minimized predation risk by avoiding fledging when predation activity was high and preferentially fledging when predation risk was low. Predation activity was significantly lower starting 3&nbsp;hr before sunrise and ending 3&nbsp;hr after sunrise, followed by a transition to a period of significantly higher activity lasting for 4&nbsp;hr, before declining to an average activity level for the rest of the diel period. There was little evidence that the four grassland bird species avoided fledging during the high-risk period and Savannah Sparrow fledged at higher rates during that period. All four species had hours during the low-risk period where they fledged at higher rates, but only Grasshopper Sparrow fledged preferentially during that period. Bobolink and Eastern Meadowlark had multiple hours with high fledging rates throughout the daytime period, resulting in no relationship between probability of fledging and predation risk. Given the species variability in fledging pattern seen in our study, it is unlikely that there is a universal response to any driver that affects time of fledging. Further study is needed to understand the complex interplay between species ecology and drivers such as physiology, energetics, and predation in affecting grassland bird fledging behavior.</p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.7541","usgsCitation":"Ribic, C., Rugg, D.J., Ellison, K., Koper, N., and Pietz, P.J., 2021, Diel patterns of predation and fledging at nests of four species of grassland songbirds: Ecology and Evolution, v. 11, no. 11, p. 6913-6926, https://doi.org/10.1002/ece3.7541.","productDescription":"14 p.","startPage":"6913","endPage":"6926","ipdsId":"IP-120613","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":452037,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.7541","text":"Publisher Index 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Nicola","contributorId":274389,"corporation":false,"usgs":false,"family":"Koper","given":"Nicola","affiliations":[{"id":16603,"text":"University of Manitoba","active":true,"usgs":false}],"preferred":false,"id":836349,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pietz, Pamela J. 0000-0003-4606-044X","orcid":"https://orcid.org/0000-0003-4606-044X","contributorId":286892,"corporation":false,"usgs":true,"family":"Pietz","given":"Pamela","email":"","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":836350,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70229037,"text":"70229037 - 2021 - Life-history theory provides a framework for detecting resource limitation: A test of the Nutritional Buffer Hypothesis","interactions":[],"lastModifiedDate":"2022-02-28T16:56:07.198194","indexId":"70229037","displayToPublicDate":"2021-06-01T10:43:22","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Life-history theory provides a framework for detecting resource limitation: A test of the Nutritional Buffer Hypothesis","docAbstract":"<p>For ungulates and other long-lived species, life-history theory predicts that nutritional reserves are allocated to reproduction in a state-dependent manner because survival is highly conserved. Further, as per capita food abundance and nutritional reserves decline (i.e., density dependence intensifies), reproduction and recruitment become increasingly sensitive to weather. Thus, the degree to which weather influences vital rates should be associated with proximity to nutritional carrying capacity—a notion that we refer to as the Nutritional Buffer Hypothesis. We tested the Nutritional Buffer Hypothesis using six moose (<i>Alces alces</i>) populations that varied in calf recruitment (33–69 calves/100 cows). We predicted that populations with high calf recruitment were nutritionally buffered against the effects of unfavorable weather, and thus were below nutritional carrying capacity. We applied a suite of tools to quantify habitat and nutritional condition of each population and found that increased browse condition, forage quality, and body fat were associated with increased pregnancy and calf recruitment, thereby providing multiple lines of evidence that declines in calf recruitment were underpinned by resource limitation. From 2001 to 2015, recruitment was more sensitive to interannual variation in weather (e.g., winter severity, drought) and plant phenology (e.g., duration of spring) for populations with reduced browse condition, forage quality, and body fat, suggesting these populations lacked the nutritional reserves necessary to buffer demographic performance against the effects of unfavorable weather. Further, average within-population calf recruitment was determined by regional climatic variation, suggesting that the pattern of reduced recruitment near the southern range boundary of moose stems from an interaction between climate and resource limitation. When coupled with information on habitat, nutrition, weather, and climate, life-history theory provides a framework to estimate nutritional limitation, proximity to nutritional carrying capacity, and impacts of climate change for ungulates.</p>","language":"English","publisher":"Wiley","doi":"10.1002/eap.2299","usgsCitation":"Jesmer, B.R., Kauffman, M., Courtemanch, A.B., Kilpatrick, S., Thomas, T., Yost, J., Monteith, K.L., and Goheen, J.R., 2021, Life-history theory provides a framework for detecting resource limitation: A test of the Nutritional Buffer Hypothesis: Ecological Applications, v. 31, no. 4, p. 1-18, https://doi.org/10.1002/eap.2299.","productDescription":"e02299, 18 p.","startPage":"1","endPage":"18","ipdsId":"IP-123651","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":452040,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/eap.2299","text":"External Repository"},{"id":396564,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Utah, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -111.11572265625,\n              38.51378825951165\n            ],\n            [\n              -104.08447265624999,\n              38.51378825951165\n            ],\n            [\n              -104.08447265624999,\n              45.042478050891546\n            ],\n            [\n              -111.11572265625,\n              45.042478050891546\n            ],\n            [\n              -111.11572265625,\n              38.51378825951165\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"31","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-03-08","publicationStatus":"PW","contributors":{"editors":[{"text":"Hobbs, N. Thompson","contributorId":35031,"corporation":false,"usgs":true,"family":"Hobbs","given":"N. Thompson","affiliations":[],"preferred":false,"id":836492,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Jesmer, Brett R.","contributorId":200192,"corporation":false,"usgs":false,"family":"Jesmer","given":"Brett","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":836330,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":202921,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":836329,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Courtemanch, Alyson B.","contributorId":198651,"corporation":false,"usgs":false,"family":"Courtemanch","given":"Alyson","email":"","middleInitial":"B.","affiliations":[{"id":35682,"text":"Wyoming Game and Fish Department, Jackson, WY","active":true,"usgs":false}],"preferred":false,"id":836331,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kilpatrick, Steve","contributorId":198652,"corporation":false,"usgs":false,"family":"Kilpatrick","given":"Steve","email":"","affiliations":[],"preferred":false,"id":836332,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thomas, Timothy","contributorId":286866,"corporation":false,"usgs":false,"family":"Thomas","given":"Timothy","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":836333,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yost, Jeff","contributorId":286867,"corporation":false,"usgs":false,"family":"Yost","given":"Jeff","email":"","affiliations":[{"id":39887,"text":"Colorado Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":836334,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Monteith, Kevin L.","contributorId":83400,"corporation":false,"usgs":true,"family":"Monteith","given":"Kevin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":836335,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Goheen, Jacob R.","contributorId":200193,"corporation":false,"usgs":false,"family":"Goheen","given":"Jacob","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":836336,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70241518,"text":"70241518 - 2021 - Tarentola mauritanica (common wall gecko). Endoparasites","interactions":[],"lastModifiedDate":"2023-04-18T15:39:10.467502","indexId":"70241518","displayToPublicDate":"2021-06-01T10:38:37","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1898,"text":"Herpetological Review","active":true,"publicationSubtype":{"id":10}},"title":"Tarentola mauritanica (common wall gecko). Endoparasites","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","usgsCitation":"McAllister, C., Bursey, C.R., Fisher, S., Martin, C.E., and Fisher, R., 2021, Tarentola mauritanica (common wall gecko). Endoparasites: Herpetological Review, v. 52, no. 2, p. 413-414.","productDescription":"2 p.","startPage":"413","endPage":"414","ipdsId":"IP-128756","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":415923,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":414531,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://ssarherps.org/herpetological-review-pdfs/"}],"volume":"52","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McAllister, Chris T.","contributorId":303299,"corporation":false,"usgs":false,"family":"McAllister","given":"Chris T.","affiliations":[{"id":65753,"text":"Eastern Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":867079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bursey, Charles R","contributorId":303300,"corporation":false,"usgs":false,"family":"Bursey","given":"Charles","email":"","middleInitial":"R","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":867080,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fisher, Samuel R","contributorId":225265,"corporation":false,"usgs":false,"family":"Fisher","given":"Samuel R","affiliations":[{"id":41086,"text":"La Sierra University","active":true,"usgs":false}],"preferred":false,"id":867081,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Chelsea E","contributorId":259234,"corporation":false,"usgs":false,"family":"Martin","given":"Chelsea","email":"","middleInitial":"E","affiliations":[{"id":52330,"text":"Loma Linda University","active":true,"usgs":false}],"preferred":false,"id":867082,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fisher, Robert N. 0000-0002-2956-3240","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":51675,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":867083,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70229039,"text":"70229039 - 2021 - Coffee plantations, hurricanes and avian resiliency: Insights from occupancy, and local colonization and extinction rates in Puerto Rico","interactions":[],"lastModifiedDate":"2022-03-01T12:17:19.293477","indexId":"70229039","displayToPublicDate":"2021-06-01T10:31:59","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Coffee plantations, hurricanes and avian resiliency: Insights from occupancy, and local colonization and extinction rates in Puerto Rico","docAbstract":"Insights on impacts and resiliency of avian species with respect to hurricanes in the Caribbean have largely focused on responses measured in protected habitats.  We assessed avian responses in non-protected habitat, specifically shade-restored coffee plantations, because their structural complexity retains many attributes of secondary forests, and may contribute to landscape scale species resiliency.  We tallied species richness, and estimated occupancy probability of 12 resident avian species, after adjusting for imperfect detection, to assess the impact of hurricane Maria (20 September 2017) in the context of two stages of shade-restored coffee plantations.  For 5 of those species, we also estimated local colonization and extinction probabilities to assess their prospect of rebounding (resiliency).  We used survey data collected March-June 2015-2017 (pre-hurricane) and 2018 (post-hurricane) in 58 coffee farms and satellite imagery to assess vegetation structure.  Restored farms were grouped into two categories based on time-since-restoration: newly-restored and fully-restored. We predicted that mean percent forest cover in fully-restored farms (~30-40%) would revert to levels in newly-restored farms (<15%), with concomitant changes in occupancy by avian species.  As predicted, mean percent forest cover (16.17  4.27%) in fully-restored farms post-hurricane reverted to pre-hurricane levels in newly-restored farms (15.00  5.61%).  The loss represented 30-38% relative to the pre-hurricane cover levels.  Detections of focal species dropped an average of 41% post-hurricane, with associated reductions in occupancy for 9/11 species.  Occupancy of the Puerto Rican Bullfinch and Puerto Rican Spindalis reverted to levels detected in newly-restored plantations prior to the hurricane as predicted.  Prospects of rebounding were more likely for species with invariant or increases in colonization probability (e.g., Yellow-faced Grassquit, Northern Mockingbird, Puerto Rican Spindalis).  Rebounding for frugivores like the Puerto Rican Bullfinch would be protracted given that colonization rates dropped from 0.56  0.12 (pre-hurricane) to 0.04  0.2 (post-hurricane), regardless of restoration stage.  Our work showed that the avian community associated with restored coffee farms exhibited as high degree of ecological resistance as the similarity in species composition before and after the hurricane was 81%, and all 12 focal species continued to occupy farms under both restoration stages.  The prospect of the focal species to rebound (resiliency) was specific-specific, and in some cases, mediated by their affinity to a particular farm restoration stage.  The strength of hurricanes is projected to intensify with global warming.  Pockets of undamaged or partially damaged shade-grown or fully-restored coffee plantations may contribute to species resiliency by increasing landscape level habitat redundancy, and facilitate habitat shifts to secure food resources or harbor source populations to colonize recovering, hurricane-damaged habitat tracts.","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2021.e01579","usgsCitation":"Irizarry, A.D., Collazo, J.A., Vandermeer, J., and Perfecto, I., 2021, Coffee plantations, hurricanes and avian resiliency: Insights from occupancy, and local colonization and extinction rates in Puerto Rico: Global Ecology and Conservation, v. 27, e01579, 12 p., https://doi.org/10.1016/j.gecco.2021.e01579.","productDescription":"e01579, 12 p.","ipdsId":"IP-120553","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":452043,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2021.e01579","text":"Publisher Index Page"},{"id":396563,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Puerto Rico","otherGeospatial":"Greater Antilles","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -67.08251953125,\n              17.955219304287816\n            ],\n            [\n              -66.42059326171874,\n              17.955219304287816\n            ],\n            [\n              -66.42059326171874,\n              18.424896202842426\n            ],\n            [\n              -67.08251953125,\n              18.424896202842426\n            ],\n            [\n              -67.08251953125,\n              17.955219304287816\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"27","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Irizarry, Amarilys D.","contributorId":205434,"corporation":false,"usgs":false,"family":"Irizarry","given":"Amarilys","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":836342,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collazo, Jaime A. 0000-0002-1816-7744","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":217287,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime","email":"","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":836343,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vandermeer, J.","contributorId":286880,"corporation":false,"usgs":false,"family":"Vandermeer","given":"J.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":836344,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perfecto, I.","contributorId":286882,"corporation":false,"usgs":false,"family":"Perfecto","given":"I.","email":"","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":836345,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70220518,"text":"70220518 - 2021 - Be a wolf researcher! Wolf pup ethogram","interactions":[],"lastModifiedDate":"2021-09-17T15:06:11.115632","indexId":"70220518","displayToPublicDate":"2021-06-01T10:05:56","publicationYear":"2021","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"title":"Be a wolf researcher! Wolf pup ethogram","docAbstract":"Ethology is the study of behavior, and an ethogram is a list of behaviors, typically of a single species.  For this ethogram we have selected a few representative behaviors that pups will exhibit during various growth phases, and therefore, this ethogram is not exhaustive.  You will likely observe behaviors not detailed in this booklet (be sure to keep notes of your observations on the pages in the back).  We hope you will get a chance to observe all the representative behaviors of each growth phase (check them off on your ethogram’s checklist) by visiting the wolves here in Ely at the International Wolf Center or by “visiting” them online via the wolf cams.","language":"English","publisher":"Raven Publishing","usgsCitation":"Schmidt, L.J., Barber-Meyer, S., and Raspberry, D.A., 2021, Be a wolf researcher! Wolf pup ethogram, 66 p.","productDescription":"66 p.","ipdsId":"IP-115517","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":389391,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schmidt, Lori J.","contributorId":245856,"corporation":false,"usgs":false,"family":"Schmidt","given":"Lori","email":"","middleInitial":"J.","affiliations":[{"id":49346,"text":"International Wolf Center, Ely, MN","active":true,"usgs":false}],"preferred":false,"id":815874,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barber-Meyer, Shannon 0000-0002-3048-2616","orcid":"https://orcid.org/0000-0002-3048-2616","contributorId":217941,"corporation":false,"usgs":true,"family":"Barber-Meyer","given":"Shannon","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":815875,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Raspberry, D. Ann","contributorId":258167,"corporation":false,"usgs":false,"family":"Raspberry","given":"D.","email":"","middleInitial":"Ann","affiliations":[{"id":33663,"text":"International Wolf Center","active":true,"usgs":false}],"preferred":false,"id":815876,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70237296,"text":"70237296 - 2021 - A roadmap for planetary caves science and exploration","interactions":[],"lastModifiedDate":"2022-10-06T16:54:14.55441","indexId":"70237296","displayToPublicDate":"2021-06-01T09:54:05","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6448,"text":"Nature Astronomy","active":true,"publicationSubtype":{"id":10}},"title":"A roadmap for planetary caves science and exploration","docAbstract":"<p>While researchers have pondered the possibility of extraterrestrial caves for more than 50 years, we have now entered the incipient phase of planetary caves exploration. Our knowledge of planetary caves varies from body to body. Earth represents the most advanced level of exploration, but many unanswered questions remain. Beyond Earth, identification of possible caves is most advanced for the Moon and Mars , with hundreds of documented candidate cave entrances and several proposed cave mission concepts.&nbsp; To date, the community has catalogued 2,660 SAPs on eight planetary bodies (excluding Earth) across our Solar System. Planetary caves science has the potential to significantly expand over the next decade. A potential roadmap for planetary cave research and exploration is discussed.&nbsp;</p>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41550-021-01385-1","usgsCitation":"Titus, T.N., Wynne, J.J., Malaska, M.J., Agha-Mohammadi, A., Buhler, P., Alexander, E.C., Ashley, J.W., Azua-Bustos, A., Boston, P.J., Buczkowski, D.L., Chiao, L., Cushing, G.E., DeDecker, J., de Leon, P., Demirel-Floyd, C., de Waele, J., Fairen, A.G., Frumkin, A., Harris, G.L., Jones, H., Kerber, L.H., Leonard, E.J., Leveille, R.J., Manyapu, K., Massironi, M., Miller, A.Z., Mylroie, J.E., Onac, B.P., Parazynski, S.E., Phillips, C.B., Phillips-Lander, C.M., Prettyman, T.H., Sapers, H.M., Sauro, F., Schorghofer, N., Schulze-Makuch, D., Scully, J., Uckert, K., Wagner, R.V., Whittaker, W.L., Williams, K.E., and Wong, U.Y., 2021, A roadmap for planetary caves science and exploration: Nature Astronomy, v. 5, p. 524-525, https://doi.org/10.1038/s41550-021-01385-1.","productDescription":"2 p.","startPage":"524","endPage":"525","ipdsId":"IP-127803","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":467242,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1038/s41550-021-01385-1","text":"External Repository"},{"id":408039,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","noUsgsAuthors":false,"publicationDate":"2021-06-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Titus, Timothy N. 0000-0003-0700-4875 ttitus@usgs.gov","orcid":"https://orcid.org/0000-0003-0700-4875","contributorId":146,"corporation":false,"usgs":true,"family":"Titus","given":"Timothy","email":"ttitus@usgs.gov","middleInitial":"N.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":854037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wynne, J. 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Calvin Jr.","contributorId":173840,"corporation":false,"usgs":false,"family":"Alexander","given":"E.","suffix":"Jr.","email":"","middleInitial":"Calvin","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":854042,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ashley, James W.","contributorId":102523,"corporation":false,"usgs":false,"family":"Ashley","given":"James","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":854043,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Azua-Bustos, Armando","contributorId":241680,"corporation":false,"usgs":false,"family":"Azua-Bustos","given":"Armando","email":"","affiliations":[{"id":48393,"text":"10Centro de Astrobiología, CSIC-INTA, Madrid, Spain; 11 Instituto de Ciencias Biomédicas, Facultad de Ciencias de la Salud, Universidad Autónoma de Chile, Santiago, 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,{"id":70228972,"text":"70228972 - 2021 - A review of factors affecting PIT tag detection using mobile arrays and use of mobile antennas to detect PIT-tagged suckers in a wadeable Ozark stream","interactions":[],"lastModifiedDate":"2022-02-25T15:35:34.113825","indexId":"70228972","displayToPublicDate":"2021-06-01T09:22:06","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"A review of factors affecting PIT tag detection using mobile arrays and use of mobile antennas to detect PIT-tagged suckers in a wadeable Ozark stream","docAbstract":"Advantages of passive integrated transponder (PIT) tags are their small size, longevity, and low-cost compared to other tags. PIT tags are often used in fisheries to study movement patterns, survival, or estimate population size. However, PIT tags are limited by their short detection distance. Mobile PIT antennas may increase the utility of PIT tags in fisheries. In this study, we synthesize the current detection efficiency literature on mobile PIT antennas, determine factors influencing PIT-tag detection probability and efficiency for a raft-mounted mobile antenna, and summarize techniques used to increase observations of PIT-tagged fishes with raft-mounted mobile antennas in a wadable stream. Our literature review indicated tag size and orientation were the most-important factors affecting detection probabilities; however, our antenna was primarily influenced by water depth of the tag and distance from the antenna. Detection efficiency was influenced by discharge, turbidity, and sample date. Tracking methods that include targeting key habitats (e.g., rootwads) and using natural features to congregated tagged fishes (e.g., riffles or pinch points) may increase detection efficiency in wadable streams. This is the first formal review of factors affecting mobile PIT antenna detection efficiency. The published literature, combined with our study results, indicate several factors need to be considered prior to mobile PIT antenna tracking.","language":"English","publisher":"Wiley","doi":"10.1002/nafm.10578","usgsCitation":"Zentner, D., Wolf, S., Brewer, S.K., and Shoup, D.E., 2021, A review of factors affecting PIT tag detection using mobile arrays and use of mobile antennas to detect PIT-tagged suckers in a wadeable Ozark stream: North American Journal of Fisheries Management, v. 41, no. 3, p. 697-710, https://doi.org/10.1002/nafm.10578.","productDescription":"14 p.","startPage":"697","endPage":"710","ipdsId":"IP-119648","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":498905,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10578","text":"Publisher Index 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University","active":true,"usgs":false}],"preferred":false,"id":836057,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":836058,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shoup, Daniel E.","contributorId":141325,"corporation":false,"usgs":false,"family":"Shoup","given":"Daniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":836059,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70237100,"text":"70237100 - 2021 - A framework for evaluating earthquake early warning for an infrastructure network: An idealized case study of a northern California rail system","interactions":[],"lastModifiedDate":"2022-09-29T14:14:36.220516","indexId":"70237100","displayToPublicDate":"2021-06-01T09:08:31","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9121,"text":"Frontiers Earth Science Journal","active":true,"publicationSubtype":{"id":10}},"title":"A framework for evaluating earthquake early warning for an infrastructure network: An idealized case study of a northern California rail system","docAbstract":"Earthquake early warning (EEW) systems provide a few to tens of seconds of warning before shaking hits a site. Despite the recent rapid developments of EEW systems around the world, the optimal alert response strategy and the practical benefit of using EEW are still open-ended questions, especially in areas where EEW systems are new or have not yet been deployed. Here, we use a case study of a rail system in California’s San Francisco Bay Area to explore potential uses of EEW for rail systems. Rail systems are of particular interest not only because they are important lifeline infrastructure and a common application for EEW around the world, but also because their geographically broad yet networked infrastructure makes them almost uniquely well suited for utilizing EEW. While the most obvious potential benefit of EEW to the railway is to prevent derailments by stopping trains before the arrival of shaking, the lead time for warnings is usually not long enough to significantly reduce a train’s speed. In reality, EEW’s greatest impact is preventing derailment by alerting trains to slow down or stop before they encounter damaged track. We perform cost-benefit analyses of different decision-making strategies for several EEW system designs to find an optimal alerting strategy. On-site EEW provides better outcomes than source-parameter-based EEW when warning at a threshold of 120 gal (the level of shaking at which damage might occur) regardless of false alarm tolerance. A source-parameter-based EEW system with a lower alerting threshold (e.g., 40 gal) can reduce the exposure to potentially damaged track compared to an on-site system alerting at 120 gal, but a lower alerting threshold comes at the cost of additional precautionary system stops. The optimal EEW approach for rail systems depends strongly on the ratio of the cost of stopping the system unnecessarily to the potential loss from traversing damaged tracks.","language":"English","publisher":"Frontiers Media SA","doi":"10.3389/feart.2021.620467","usgsCitation":"Minson, S.E., Cochran, E.S., Wu, S., and Noda, S., 2021, A framework for evaluating earthquake early warning for an infrastructure network: An idealized case study of a northern California rail system: Frontiers Earth Science Journal, v. 9, 620467, 14 p., https://doi.org/10.3389/feart.2021.620467.","productDescription":"620467, 14 p.","ipdsId":"IP-123427","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":452049,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2021.620467","text":"Publisher Index Page"},{"id":407593,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Clara Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.91778564453125,\n              37.26968150969715\n            ],\n            [\n              -121.24237060546876,\n              37.26968150969715\n            ],\n            [\n              -121.24237060546876,\n              38.0091482264894\n            ],\n            [\n              -122.91778564453125,\n              38.0091482264894\n            ],\n            [\n              -122.91778564453125,\n              37.26968150969715\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","noUsgsAuthors":false,"publicationDate":"2021-06-02","publicationStatus":"PW","contributors":{"editors":[{"text":"Kuyuk, Huseyin Serdar","contributorId":297119,"corporation":false,"usgs":false,"family":"Kuyuk","given":"Huseyin","email":"","middleInitial":"Serdar","affiliations":[{"id":16811,"text":"Harvard University","active":true,"usgs":false}],"preferred":false,"id":853368,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Minson, Sarah E. 0000-0001-5869-3477 sminson@usgs.gov","orcid":"https://orcid.org/0000-0001-5869-3477","contributorId":5357,"corporation":false,"usgs":true,"family":"Minson","given":"Sarah","email":"sminson@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":853339,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":853340,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wu, Stephen","contributorId":198428,"corporation":false,"usgs":false,"family":"Wu","given":"Stephen","email":"","affiliations":[],"preferred":false,"id":853341,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Noda, Shunta","contributorId":297102,"corporation":false,"usgs":false,"family":"Noda","given":"Shunta","affiliations":[{"id":27332,"text":"Railway Technical Research Institute","active":true,"usgs":false}],"preferred":false,"id":853342,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70229064,"text":"70229064 - 2021 - Post-white-nose syndrome passive acoustic sampling effort for determining bat species occupancy within the mid-Atlantic region","interactions":[],"lastModifiedDate":"2022-02-28T15:19:15.463275","indexId":"70229064","displayToPublicDate":"2021-06-01T09:04:59","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Post-white-nose syndrome passive acoustic sampling effort for determining bat species occupancy within the mid-Atlantic region","docAbstract":"<p id=\"sp0010\">We assessed the sampling effort requirements for detecting the presence of extant bat species following the impact of white-nose syndrome in the mid-Atlantic region of the United States. We acoustically sampled 27,796 nights across 846 sites between 15 May and 15 August 2016–2018 within the District of Columbia, Maryland, Pennsylvania, Virginia, and West Virginia. We developed simulations to determine the number of sites required to document bat species when each site was sampled different numbers of nights. We examined these simulations with respect to land cover, physiographic region, and time period. We generally found that sampling a greater number of sample sites within a survey area increased detection more than increasing the number of nights at individual sampling sites. The sampling effort required to detect a given bat species varied by species, as well as land-cover type and physiographic region. Our results suggest that land managers and researchers should use caution in using protocols developed with other objectives, e.g., the U.S. Fish and Wildlife Service endangered and threatened bat species and the North American Bat monitoring programs’ methods are designed relative to their specific needs. Unfortunately, neither protocol may be adequate for accurately detecting bat communities within all mid-Atlantic areas.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2021.107489","usgsCitation":"Deeley, S.M., Kalen, N., Freeze, S., Barr, E.L., and Ford, W., 2021, Post-white-nose syndrome passive acoustic sampling effort for determining bat species occupancy within the mid-Atlantic region: Ecological Indicators, v. 125, p. 1-9, https://doi.org/10.1016/j.ecolind.2021.107489.","productDescription":"107489, 9 p.","startPage":"1","endPage":"9","ipdsId":"IP-121354","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":452052,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2021.107489","text":"Publisher Index Page"},{"id":396551,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Pennsylvania, Virginia, West Virginia","city":"Washington, D. C.","otherGeospatial":"Blue Ridge Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.508056640625,\n              38.1777509666256\n            ],\n            [\n              -75.706787109375,\n              38.1777509666256\n            ],\n            [\n              -75.706787109375,\n              39.740986355883564\n            ],\n            [\n              -79.508056640625,\n              39.740986355883564\n            ],\n            [\n              -79.508056640625,\n              38.1777509666256\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"125","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Deeley, Sabrina M.","contributorId":270674,"corporation":false,"usgs":false,"family":"Deeley","given":"Sabrina","email":"","middleInitial":"M.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":836389,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kalen, Nicholas J.","contributorId":286972,"corporation":false,"usgs":false,"family":"Kalen","given":"Nicholas J.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":836390,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Freeze, Samuel R.","contributorId":270513,"corporation":false,"usgs":false,"family":"Freeze","given":"Samuel R.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":836391,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barr, Elaine L.","contributorId":270623,"corporation":false,"usgs":false,"family":"Barr","given":"Elaine","email":"","middleInitial":"L.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":836392,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":836388,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70226922,"text":"70226922 - 2021 - A multi-tracer and well-bore flow profile approach to determine occurrence, movement, and sources of perchlorate in groundwater","interactions":[],"lastModifiedDate":"2021-12-21T14:59:34.058138","indexId":"70226922","displayToPublicDate":"2021-06-01T08:43:10","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"A multi-tracer and well-bore flow profile approach to determine occurrence, movement, and sources of perchlorate in groundwater","docAbstract":"The purpose of this study is to determine the occurrence, movement and sources of perchlorate in groundwater using a comprehensive set of environmental tracers coupled with discreet borehole data. Potential sources of perchlorate to groundwater at the study site have been attributed to waste disposal and industrial activities as well as to past agricultural operations. Perchlorate concentrations in samples ranged from <1 to 40 g/l, with a median of 6.1 g/l. Concentrations were relativity consistent with depth except at one site where dilution may be occurring due to the infiltration of surface water from Pyrite Creek. Well-bore flow profiles indicated that perchlorate redistribution was occurring via intra-well bore flow at one site where up to 14,000 mg/year of perchlorate could be moving from the shallower to the deeper zones of the alluvial aquifer. Natural attenuation processes of perchlorate do not appear to be widespread in groundwater but does occur in portions of the aquifer adjacent to the Santa Ana River, likely limiting the mobility of perchlorate from the southernmost extent of the mapped plume to areas further down-gradient. Age dating tracers indicate that perchlorate originating from the waste disposal ponds has largely moved through the zones of the aquifer sampled. Age distributions, noble gas temperature, delta neon values and stable isotopes of water indicate that a substantial fraction of perchlorate in groundwater may have been mobilized from the unsaturated zone and/or is from the infiltration of storm water runoff originating from Pyrite Canyon.","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2021.104959","usgsCitation":"Wright, M., Izbicki, J.A., and Jurgens, B.C., 2021, A multi-tracer and well-bore flow profile approach to determine occurrence, movement, and sources of perchlorate in groundwater: Applied Geochemistry, v. 129, p. 1-18, https://doi.org/10.1016/j.apgeochem.2021.104959.","productDescription":"104959, 18 p.","startPage":"1","endPage":"18","ipdsId":"IP-116219","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":452054,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeochem.2021.104959","text":"Publisher Index Page"},{"id":393189,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Jurupa Valley","otherGeospatial":"Jurupa Mountains, Mira Loma Hills, Pedley Hills, San Sevaine Channel, Santa Ana River, Stringfellow Superfund Site","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.66082763671875,\n              33.945638452963024\n            ],\n            [\n              -117.14241027832031,\n              33.945638452963024\n            ],\n            [\n              -117.14241027832031,\n              34.34343606848294\n            ],\n            [\n              -117.66082763671875,\n              34.34343606848294\n            ],\n            [\n              -117.66082763671875,\n              33.945638452963024\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"129","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Wang, Z. Zimeng","contributorId":270243,"corporation":false,"usgs":false,"family":"Wang","given":"Z.","email":"","middleInitial":"Zimeng","affiliations":[],"preferred":false,"id":828813,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Wright, Michael 0000-0003-0653-6466 mtwright@usgs.gov","orcid":"https://orcid.org/0000-0003-0653-6466","contributorId":151031,"corporation":false,"usgs":true,"family":"Wright","given":"Michael","email":"mtwright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828799,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Izbicki, John A. 0000-0003-0816-4408 jaizbick@usgs.gov","orcid":"https://orcid.org/0000-0003-0816-4408","contributorId":152474,"corporation":false,"usgs":true,"family":"Izbicki","given":"John","email":"jaizbick@usgs.gov","middleInitial":"A.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828800,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jurgens, Bryant C. 0000-0002-1572-113X bjurgens@usgs.gov","orcid":"https://orcid.org/0000-0002-1572-113X","contributorId":127842,"corporation":false,"usgs":true,"family":"Jurgens","given":"Bryant","email":"bjurgens@usgs.gov","middleInitial":"C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828801,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70236147,"text":"70236147 - 2021 - Devils Hole calcite was precipitated at ±1°C stable aquifer temperatures during the last half million years","interactions":[],"lastModifiedDate":"2022-08-30T13:48:39.748661","indexId":"70236147","displayToPublicDate":"2021-06-01T08:42:30","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":"Devils Hole calcite was precipitated at ±1°C stable aquifer temperatures during the last half million years","docAbstract":"<p><span>Subaqueous carbonates from the Devils Hole caves (southwestern USA) provide a continuous Holocene to Pleistocene North American paleoclimate record. The accuracy of this record relies on two assumptions: That carbonates precipitated close to isotope equilibrium and that groundwater temperature did not change significantly in the last 570&nbsp;thousand years. Here, we investigate these assumptions using dual clumped isotope thermometry. This method relies on simultaneous analyses of carbonate&nbsp;</span><i>∆</i><sub>47</sub><span>&nbsp;and&nbsp;</span><i>∆</i><sub>48</sub><span>&nbsp;values and provides information on the existence and extent of kinetic isotope fractionation. Our results confirm the hypothesis that calcite precipitation occurred close to oxygen and clumped isotope equilibrium during the last half million years in Devils Hole. In addition, we provide evidence that aquifer temperatures varied by less than ±1°C during this interval. Thus, the Devils Hole calcite&nbsp;</span><i>δ</i><sup>18</sup><span>O time series exclusively represents changes in groundwater&nbsp;</span><i>δ</i><sup>18</sup><span>O values.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021GL093257","usgsCitation":"Bajnai, D., Coplen, T.B., Methner, K., Loffler, N., Krsnik, E., and Fiebig, J., 2021, Devils Hole calcite was precipitated at ±1°C stable aquifer temperatures during the last half million years: Geophysical Research Letters, v. 48, no. 11, e2021GL093257, 10 p., https://doi.org/10.1029/2021GL093257.","productDescription":"e2021GL093257, 10 p.","ipdsId":"IP-124752","costCenters":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"links":[{"id":452057,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2021gl093257","text":"External Repository"},{"id":405900,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.98242187499999,\n              38.07404145941957\n            ],\n            [\n              -117.0703125,\n              36.88840804313823\n            ],\n            [\n              -114.64233398437499,\n              35.003003395276714\n            ],\n            [\n              -114.5654296875,\n              35.290468565908775\n            ],\n            [\n              -114.6533203125,\n              35.60371874069731\n            ],\n            [\n              -114.76318359375,\n              36.13787471840729\n            ],\n            [\n              -114.43359375,\n              36.11125252076156\n            ],\n            [\n              -114.2138671875,\n              36.03133177633187\n            ],\n            [\n              -114.093017578125,\n              36.03133177633187\n            ],\n            [\n              -114.0380859375,\n              36.24427318493909\n            ],\n            [\n              -114.071044921875,\n              38.151837403006766\n            ],\n            [\n              -116.98242187499999,\n              38.07404145941957\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"48","issue":"11","noUsgsAuthors":false,"publicationDate":"2021-06-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Bajnai, David 0000-0002-4053-5056","orcid":"https://orcid.org/0000-0002-4053-5056","contributorId":295938,"corporation":false,"usgs":false,"family":"Bajnai","given":"David","email":"","affiliations":[{"id":63949,"text":"Institute of Geosciences, Goethe University Frankfurt, Frankfurt am Main, Germany","active":true,"usgs":false}],"preferred":false,"id":850251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":850252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Methner, Katharina","contributorId":194316,"corporation":false,"usgs":false,"family":"Methner","given":"Katharina","email":"","affiliations":[],"preferred":false,"id":850253,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loffler, Niklas 0000-0002-3026-8126","orcid":"https://orcid.org/0000-0002-3026-8126","contributorId":295941,"corporation":false,"usgs":false,"family":"Loffler","given":"Niklas","email":"","affiliations":[{"id":63949,"text":"Institute of Geosciences, Goethe University Frankfurt, Frankfurt am Main, Germany","active":true,"usgs":false}],"preferred":false,"id":850254,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krsnik, Emilija","contributorId":295942,"corporation":false,"usgs":false,"family":"Krsnik","given":"Emilija","email":"","affiliations":[{"id":63954,"text":"Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Frankfurt am Main, Germany","active":true,"usgs":false}],"preferred":false,"id":850255,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fiebig, Jens 0000-0001-5074-1462","orcid":"https://orcid.org/0000-0001-5074-1462","contributorId":295949,"corporation":false,"usgs":false,"family":"Fiebig","given":"Jens","email":"","affiliations":[{"id":63949,"text":"Institute of Geosciences, Goethe University Frankfurt, Frankfurt am Main, Germany","active":true,"usgs":false}],"preferred":false,"id":850256,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70223497,"text":"70223497 - 2021 - Native mammalian predators can depredate adult Burmese Pythons in Florida","interactions":[],"lastModifiedDate":"2021-08-31T13:46:38.755411","indexId":"70223497","displayToPublicDate":"2021-06-01T08:41:14","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}},"title":"Native mammalian predators can depredate adult Burmese Pythons in Florida","docAbstract":"<p><span>Invasive predators are of conservation concern because they contribute to species declines and extinctions worldwide. Interactions of native fauna and invasive predators can be complex, but understanding these relationships can guide management and restoration. Observations of these interactions are especially important for invaders with low detectability like&nbsp;</span><i>Python bivittatus</i><span>&nbsp;(Burmese Python) where data are sparse. Here, we provide the first detailed documentation of mammalian attacks on Burmese Pythons in Florida: 1&nbsp;</span><i>Lynx rufus</i><span>&nbsp;(Bobcat) predation of an adult male python and 1&nbsp;</span><i>Ursus americanus floridanus</i><span>&nbsp;(Florida Black Bear) non-lethal attack on an adult female python.</span></p>","language":"English","publisher":"Eagle Hill Publications","doi":"10.1656/058.020.0205","usgsCitation":"McCollister, M.F., Josimovich, J.M., Fitzgerald, A.L., Jansen, D.K., and Currylow, A.F., 2021, Native mammalian predators can depredate adult Burmese Pythons in Florida: Southeastern Naturalist, v. 20, no. 2, p. N55-N59, https://doi.org/10.1656/058.020.0205.","productDescription":"5 p.","startPage":"N55","endPage":"N59","ipdsId":"IP-121323","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":388689,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Big Cypress National Preserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.36474609375,\n              25.585801212943935\n            ],\n            [\n              -80.79757690429686,\n              25.585801212943935\n            ],\n            [\n              -80.79757690429686,\n              26.277408212953834\n            ],\n            [\n              -81.36474609375,\n              26.277408212953834\n            ],\n            [\n              -81.36474609375,\n              25.585801212943935\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"20","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McCollister, Matthew F.","contributorId":264909,"corporation":false,"usgs":false,"family":"McCollister","given":"Matthew","email":"","middleInitial":"F.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":822181,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Josimovich, Jillian Maureen 0000-0002-7523-3496 jjosimovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7523-3496","contributorId":257058,"corporation":false,"usgs":true,"family":"Josimovich","given":"Jillian","email":"jjosimovich@usgs.gov","middleInitial":"Maureen","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":822182,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fitzgerald, Austin Lee 0000-0002-9016-1849","orcid":"https://orcid.org/0000-0002-9016-1849","contributorId":264910,"corporation":false,"usgs":true,"family":"Fitzgerald","given":"Austin","email":"","middleInitial":"Lee","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":822183,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jansen, Deborah K.","contributorId":264911,"corporation":false,"usgs":false,"family":"Jansen","given":"Deborah","email":"","middleInitial":"K.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":822184,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Currylow, Andrea Faye 0000-0003-1631-8964","orcid":"https://orcid.org/0000-0003-1631-8964","contributorId":257055,"corporation":false,"usgs":true,"family":"Currylow","given":"Andrea","email":"","middleInitial":"Faye","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":822185,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70221396,"text":"70221396 - 2021 - A survey of storm-induced seaward-transport features observed during the 2019 and 2020 hurricane seasons","interactions":[],"lastModifiedDate":"2021-06-14T12:56:49.325445","indexId":"70221396","displayToPublicDate":"2021-06-01T07:54:31","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8932,"text":"Shore and Beach","active":true,"publicationSubtype":{"id":10}},"title":"A survey of storm-induced seaward-transport features observed during the 2019 and 2020 hurricane seasons","docAbstract":"Hurricanes are known to play a critical role in reshaping coastlines, but often only impacts on the open ocean coast are considered, ignoring seaward-directed forces and responses. The identification of subaerial evidence for storm-induced seaward transport is a critical step towards understanding its impact on coastal resiliency. The visual features, found in the National Oceanic and Atmospheric Administration, National Geodetic Survey Emergency Response Imagery (ERI) collected after recent hurricanes on the U.S. East Atlantic and Gulf of Mexico coasts, include scours and channelized erosion, but also deposition on the shoreface or in the nearshore as deltas and fans of various sizes. We catalog all available ERI and describe recently formed features found on the North Core Banks, North Carolina, after Hurricane Dorian (2019); the Carolina coasts after Hurricane Isaias (2020); the Isles Dernieres, Louisiana, after Hurricane Zeta (2020); and the southwest coast of Louisiana, after Hurricanes Laura and Delta (2020). Hundreds of features were identified over nearly 200 km of coastline with the density of features exceeding 20 per km in some areas. Individual features range in size from 5 m to 500 m in the alongshore, with similar dimensions in the cross-shore direction, including the formation or reactivation of outlets. The extensive occurrence of these storm-induced return-flow and seawardflow morphologic features demonstrates that their role in coastal evolution and resilience may be more prominent than previously thought. Based on these observations we propose clarifying terms for return- and seaward-flow features to distinguish them from more frequently documented landward-flow features and advocate for their inclusion in coastal change hazards classification schemes and coastal evolution morphodynamic models.","language":"English","publisher":"American Shore & Beach Preservation Association","doi":"10.34237/1008924","usgsCitation":"Over, J.R., Brown, J., Sherwood, C.R., Hegermiller, C., Wernette, P., Ritchie, A.C., and Warrick, J.A., 2021, A survey of storm-induced seaward-transport features observed during the 2019 and 2020 hurricane seasons: Shore and Beach, v. 89, no. 2, p. 31-40, https://doi.org/10.34237/1008924.","productDescription":"10 p.","startPage":"31","endPage":"40","ipdsId":"IP-126879","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":452060,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.31223/x5dp69","text":"External Repository"},{"id":386467,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","otherGeospatial":"southeast United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.306640625,\n              25.005972656239187\n            ],\n            [\n              -75.146484375,\n              25.005972656239187\n            ],\n            [\n              -75.146484375,\n              36.59788913307022\n            ],\n            [\n              -94.306640625,\n              36.59788913307022\n            ],\n            [\n              -94.306640625,\n              25.005972656239187\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"89","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-06-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Over, Jin-Si R. 0000-0001-6753-7185 jover@usgs.gov","orcid":"https://orcid.org/0000-0001-6753-7185","contributorId":260178,"corporation":false,"usgs":true,"family":"Over","given":"Jin-Si","email":"jover@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":817510,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Jenna A. 0000-0003-3137-7073","orcid":"https://orcid.org/0000-0003-3137-7073","contributorId":208564,"corporation":false,"usgs":true,"family":"Brown","given":"Jenna A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":817511,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sherwood, Christopher R. 0000-0001-6135-3553 csherwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6135-3553","contributorId":2866,"corporation":false,"usgs":true,"family":"Sherwood","given":"Christopher","email":"csherwood@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":817512,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hegermiller, Christie 0000-0002-6383-7508 chegermiller@usgs.gov","orcid":"https://orcid.org/0000-0002-6383-7508","contributorId":149010,"corporation":false,"usgs":true,"family":"Hegermiller","given":"Christie","email":"chegermiller@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":817513,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wernette, Phillipe Alan 0000-0002-8902-5575","orcid":"https://orcid.org/0000-0002-8902-5575","contributorId":259274,"corporation":false,"usgs":true,"family":"Wernette","given":"Phillipe Alan","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":817514,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ritchie, Andrew C. aritchie@usgs.gov","contributorId":4984,"corporation":false,"usgs":true,"family":"Ritchie","given":"Andrew","email":"aritchie@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":817515,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":167736,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan","email":"jwarrick@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":817516,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70221599,"text":"70221599 - 2021 - Watersheds and drainage networks","interactions":[],"lastModifiedDate":"2021-06-25T12:49:28.165348","indexId":"70221599","displayToPublicDate":"2021-06-01T07:47:23","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Watersheds and drainage networks","docAbstract":"<div class=\"field field-name-body field-type-text-with-summary field-label-hidden\"><div class=\"field-items\"><div class=\"field-item even\"><p>This topic is&nbsp;an overview of basic concepts about how the distribution of water on the Earth, with specific regard to watersheds, stream and river networks, and waterbodies are represented by geographic data. The flowing and non-flowing bodies of water on the earth’s surface vary in extent largely due to seasonal and annual changes in climate and precipitation. Consequently, modeling the detailed representation of surface water using geographic information is important. The area of land that collects surface runoff and other flowing water and drains to a common outlet location defines a watershed. Terrain and surface features can be naturally divided into watersheds of various sizes. Drainage networks are important data structures for modeling the distribution and movement of surface water over the terrain. &nbsp;Numerous tools and methods exist to extract drainage networks and watersheds from digital elevation models (DEMs). The cartographic representations of surface water are referred to as hydrographic features and consist of a snapshot at a specific time. Hydrographic features can be assigned general feature types, such as lake, pond, river, and ocean. Hydrographic features can be stored, maintained, and distributed for use through vector geospatial databases, such as the National Hydrography Dataset (NHD) for the United States.</p></div></div></div>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The geographic information science & technology body of knowledge","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"University Consortium for Geographic Information Science","doi":"10.22224/gistbok/2021.2.1","usgsCitation":"Stanislawski, L., and Shavers, E.J., 2021, Watersheds and drainage networks, chap. <i>of</i> The geographic information science & technology body of knowledge, https://doi.org/10.22224/gistbok/2021.2.1.","ipdsId":"IP-125926","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":452062,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.22224/gistbok/2021.2.1","text":"Publisher Index Page"},{"id":386732,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2021-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Stanislawski, Larry 0000-0002-9437-0576","orcid":"https://orcid.org/0000-0002-9437-0576","contributorId":217849,"corporation":false,"usgs":true,"family":"Stanislawski","given":"Larry","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":818251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shavers, Ethan J. 0000-0001-9470-5199 eshavers@usgs.gov","orcid":"https://orcid.org/0000-0001-9470-5199","contributorId":206890,"corporation":false,"usgs":true,"family":"Shavers","given":"Ethan","email":"eshavers@usgs.gov","middleInitial":"J.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":818252,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}