{"pageNumber":"146","pageRowStart":"3625","pageSize":"25","recordCount":185293,"records":[{"id":70260170,"text":"sim3521 - 2024 - Geologic map of the southern Stillwater Range, Nevada","interactions":[],"lastModifiedDate":"2025-07-23T16:57:56.517005","indexId":"sim3521","displayToPublicDate":"2024-11-01T14:25:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3521","displayTitle":"Geologic Map of the Southern Stillwater Range, Nevada","title":"Geologic map of the southern Stillwater Range, Nevada","docAbstract":"<p>The southern Stillwater Range in west-central Nevada contains the western part of the Oligocene Stillwater-Clan Alpine caldera complex, which extends about 55 kilometers (km) east from the west side of the Stillwater Range to the northwestern Desatoya Mountains. The complex consists of at least seven nested ignimbrite calderas and subjacent plutonic rocks emplaced into a complex basement composed of Mesozoic metasedimentary and metavolcanic rocks and Cretaceous granitic plutons. The calderas formed during large-volume (100s to greater than (&gt;) 2,500 cubic kilometers [km<sup>3</sup>]) eruptions of silicic ignimbrites between about 30.4 and 25.1 million years before present (Ma). The Job Canyon and Poco Canyon calderas and the western part of the much larger Elevenmile Canyon caldera, and their plutonic roots, are exposed in the southern Stillwater Range. There, the caldera complex was steeply tilted during large-magnitude crustal extension in the middle Miocene, and further exhumed during the late Miocene to Holocene Basin and Range extension that formed the modern Stillwater Range. This tilted crustal section affords an exceptional opportunity to view structural cross sections of ignimbrite calderas and their plutonic roots to paleodepths as much as 9–10 km.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sim3521","collaboration":"Prepared in cooperation with the Nevada Bureau of Mines and Geology","programNote":"National Cooperative Geologic Mapping Program","usgsCitation":"John, D.A., Colgan, J.P., Berry, M.E., Henry, C.D., and Silberling, N.J., 2024, Geologic map of the southern Stillwater Range, Nevada: U.S. Geological Survey Scientific Investigations Map 3521, 2 sheets, scale 1:24,000, 39-p. pamphlet, https://doi.org/10.3133/sim3521.","productDescription":"Report: iv, 39 p.; 3 Sheets: 42.23 x 64.92 inches or smaller; 2 Data Releases","ipdsId":"IP-123012","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":463560,"rank":9,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sim/3521/sim3521.xml"},{"id":463559,"rank":8,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sim/3521/images"},{"id":463384,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7P26X2V","text":"USGS data release","linkHelpText":"Geochemical and geochronologic data from the Stillwater Range, Clan Alpine, and Desatoya Mountains, Nevada (ver. 3.0, December 2023)"},{"id":463383,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WW1EUF","text":"USGS data release","linkHelpText":"Digital database of the geologic map of the southern Stillwater Range, Nevada"},{"id":463382,"rank":5,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3521/sim3521_sheet2.pdf","text":"Sheet 2—Correlation and list of map units and explanation of map symbols","size":"524 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Sheet 2"},{"id":463381,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3521/sim3521_sheet1-geospatial.pdf","text":"Sheet 1— Georeferenced geologic map","size":"16.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3521 sheet 1 geospatial"},{"id":463380,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3521/sim3521_sheet1.pdf","text":"Sheet 1—Geologic map","size":"15.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3521 sheet 1"},{"id":463379,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3521/sim3521_pamphlet.pdf","text":"Pamphlet","size":"2.74 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3521 pamphlet"},{"id":483247,"rank":10,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sim/3521/versionHist.txt","text":"Version History","size":"4.0 KB","linkFileType":{"id":2,"text":"txt"},"description":"SIM 3521 version history"},{"id":463378,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3521/coverthb2.jpg"},{"id":492781,"rank":11,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117751.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Nevada","otherGeospatial":"Southern Stillwater Range","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -118.5,\n              39.75\n            ],\n            [\n              -118.5,\n              39.375\n            ],\n            [\n              -118,\n              39.375\n            ],\n            [\n              -118,\n              39.75\n            ],\n            [\n              -118.5,\n              39.75\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Version 1.0: November 1, 2024; Version 1.1: March 12, 2025","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/geosciences-and-environmental-change-science-center/science/\" data-mce-href=\"https://www.usgs.gov/centers/geosciences-and-environmental-change-science-center/science/\">Geosciences and Environmental Change Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-980<br>Denver, CO 80225-0046</p>","tableOfContents":"<ul><li>Introduction</li><li>Methods</li><li>Stratigraphy</li><li>Description of Map Units</li><li>References Cited</li></ul>","publishedDate":"2024-11-01","revisedDate":"2025-03-12","noUsgsAuthors":false,"publicationDate":"2024-11-01","publicationStatus":"PW","contributors":{"authors":[{"text":"John, David A. 0000-0001-7977-9106 djohn@usgs.gov","orcid":"https://orcid.org/0000-0001-7977-9106","contributorId":1748,"corporation":false,"usgs":true,"family":"John","given":"David","email":"djohn@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":917299,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Colgan, Joseph P. 0000-0001-6671-1436 jcolgan@usgs.gov","orcid":"https://orcid.org/0000-0001-6671-1436","contributorId":1649,"corporation":false,"usgs":true,"family":"Colgan","given":"Joseph","email":"jcolgan@usgs.gov","middleInitial":"P.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":917300,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berry, Margaret E. 0000-0002-4113-8212","orcid":"https://orcid.org/0000-0002-4113-8212","contributorId":201560,"corporation":false,"usgs":true,"family":"Berry","given":"Margaret E.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":917301,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Henry, Christopher D.","contributorId":175501,"corporation":false,"usgs":false,"family":"Henry","given":"Christopher D.","affiliations":[{"id":6689,"text":"Nevada Bureau of Mines and Geology","active":true,"usgs":false}],"preferred":false,"id":917302,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Silberling, Norman J.","contributorId":345701,"corporation":false,"usgs":false,"family":"Silberling","given":"Norman","email":"","middleInitial":"J.","affiliations":[{"id":34135,"text":"USGS (deceased)","active":true,"usgs":false}],"preferred":false,"id":917303,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70260411,"text":"ofr20241061 - 2024 - Quality of groundwater used for domestic supply in the eastern Sacramento Valley and adjacent foothills, California","interactions":[],"lastModifiedDate":"2025-12-22T20:30:40.98767","indexId":"ofr20241061","displayToPublicDate":"2024-11-01T13:40:28","publicationYear":"2024","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":"2024-1061","displayTitle":"Quality of Groundwater Used for Domestic Supply in the Eastern Sacramento Valley and Adjacent Foothills, California","title":"Quality of groundwater used for domestic supply in the eastern Sacramento Valley and adjacent foothills, California","docAbstract":"<h1>Summary</h1><p>More than 2 million Californians rely on groundwater from privately owned domestic wells for drinking-water supply. This report summarizes a water-quality survey of domestic and small-system drinking-water supply wells in the eastern Sacramento Valley and adjacent foothills where more than 25,000 residents are estimated to use privately owned domestic wells. Study results show that inorganic and organic constituents in groundwater were present above regulatory (maximum contaminant level, MCL) benchmarks for public drinking-water quality in 8 and 3 percent, respectively, of the aquifer area used for domestic drinking-water supply (herein, “domestic groundwater resources”; fig. 1).</p><p>The only inorganic constituent detected above regulatory benchmarks was arsenic. The only organic constituent exceeding regulatory benchmarks was the fumigant 1,2,3-trichloropropane (1,2,3-TCP). Three additional organic constituents—the disinfection by-product chloroform, the gasoline oxygenate methyl <i>tert</i>-butyl ether (MTBE), and the solvent tetrachloroethene (PCE)—were detected at low concentrations below one-tenth of regulatory benchmarks in 34, 10, and 10 percent of domestic groundwater resources, respectively. Total dissolved solids (TDS), iron, and manganese exceeded non-regulatory aesthetic guidelines for drinking water in 5, 10, and 26 percent of domestic groundwater resources, respectively. Per- and polyfluoroalkyl substances (PFASs) were detected in 29 percent of domestic groundwater resources,with 5 percent exceeding the recently enacted (April 2024) U.S. Environmental Protection Agency MCLs. Total coliform and enterococci bacteria were detected in 13 and 8 percent of domestic groundwater resources, respectively.</p><p>Redox sensitive constituents in this study included arsenic, manganese, nitrate, and iron. In the lower elevation portions of the eastern Sacramento Valley study area, reducing conditions in groundwater aquifers promote elevated arsenic, iron, and manganese, and conversely lower concentrations of nitrate. The presence of the volatile organic compound (VOC) 1,2,3-TCP was related to its past history in select agricultural land uses (on orchards or vineyards) in the Sacramento Valley; however, unlike in the San Joaquin Valley where orchards and vineyards are more common, its detection frequency was low (only detected in one well in this study). Chloroform was frequently detected in this study at low levels. Chloroform is a disinfection byproduct commonly found in domestic wells treated by shock chlorination. The solvent PCE is among the most frequently detected VOCs in groundwater, which is primarily related to its long history of use and its persistence in groundwater in oxic conditions. The gasoline oxygenate MTBE was a contaminant introduced to groundwater through atmospheric exchange when it was used as a fuel additive to decrease smog inducing emissions from vehicles. Its occurrence in groundwater at low levels is expected and makes it a potentially useful tracer of relatively recent recharge water being withdrawn from wells. The PFASs are anthropogenic chemicals with hundreds of uses, and they have been incorporated into many different products, processes, and applications worldwide. Like MTBE, the occurrence of PFASs in groundwater may be in part due to atmospheric exchange, but there are several other pathways that contribute PFASs to the environment.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241061","collaboration":"Prepared in cooperation with California State Water Resources Control Board","usgsCitation":"Bennett, G.L., V, 2024, Quality of groundwater used for domestic supply in the eastern Sacramento Valley and adjacent foothills, California: U.S. Geological Survey Open-File Report 2024–1061, 15 p., https://doi.org/10.3133/ofr20241061.","productDescription":"15 p.","numberOfPages":"15","onlineOnly":"Y","ipdsId":"IP-150528","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":497891,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117769.htm","linkFileType":{"id":5,"text":"html"}},{"id":463494,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1061/images"},{"id":463493,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1061/ofr20241061.xml"},{"id":463495,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241061/full"},{"id":463492,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1061/ofr20241061.pdf","text":"Report","size":"10 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":463491,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1061/covrthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Eastern Sacramento Valley and adjacent foothills","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.25,\n              40\n            ],\n            [\n              -122.25,\n              38.666\n            ],\n            [\n              -120.5,\n              38.666\n            ],\n            [\n              -120.5,\n              40\n            ],\n            [\n              -122.25,\n              40\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ca@usgs.gov\" data-mce-href=\"mailto:dc_ca@usgs.gov\">Director</a>,<br><a href=\"https://ca.water.usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://ca.water.usgs.gov\">California Water Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>6000 J Street, Placer Hall<br>Sacramento, California 95819</p>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2024-11-01","noUsgsAuthors":false,"publicationDate":"2024-11-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Bennett, George L. V 0000-0002-6239-1604 georbenn@usgs.gov","orcid":"https://orcid.org/0000-0002-6239-1604","contributorId":1373,"corporation":false,"usgs":true,"family":"Bennett","given":"George","suffix":"V","email":"georbenn@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":917591,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70260973,"text":"70260973 - 2024 - Soil cover heterogeneity associated with biocrusts predicts patch-level plant diversity patterns","interactions":[],"lastModifiedDate":"2024-11-27T16:17:41.334305","indexId":"70260973","displayToPublicDate":"2024-11-01T12:52:03","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Soil cover heterogeneity associated with biocrusts predicts patch-level plant diversity patterns","docAbstract":"<p><strong>Context</strong><br>Soil resource heterogeneity drives plant species diversity patterns at local and landscape scales. In drylands, biocrusts are patchily distributed and contribute to soil resource heterogeneity important for plant establishment and growth. Yet, we have a limited understanding of how such heterogeneity may relate to patterns of plant diversity and community structure.</p><p><strong>Objectives</strong><br>We explored relationships between biocrust-associated soil cover heterogeneity and plant diversity patterns in a cool desert ecosystem. We asked: (1) does biocrust-associated soil cover heterogeneity predict plant diversity and community composition? and (2) can we use high-resolution remote sensing data to calculate soil cover heterogeneity metrics that could be used to extrapolate these patterns across landscapes?</p><p><strong>Methods</strong><br>We tested associations among field-based measures of plant diversity and soil cover heterogeneity. We then used a Support Vector Machine classification to map soil, plant and biocrust cover from sub-centimeter resolution Unoccupied Aerial System (UAS) imagery and compared the mapped results to field-based measures.</p><p><strong>Results</strong><br>Field-based soil cover heterogeneity and biocrust cover were positively associated with plant diversity and predicted community composition. The accuracy of UAS-mapped soil cover classes varied across sites due to variation in timing and quality of image collections, but the overall results suggest that UAS are a promising data source for generating detailed, spatially explicit soil cover heterogeneity metrics.</p><p><strong>Conclusions</strong><br>Results improve understanding of relationships between biocrust-associated soil cover heterogeneity and plant diversity and highlight the promise of high-resolution UAS data to extrapolate these patterns over larger landscapes which could improve conservation planning and predictions of dryland responses to soil degradation under global change.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10980-024-01986-x","usgsCitation":"Havrilla, C., and Villarreal, M.L., 2024, Soil cover heterogeneity associated with biocrusts predicts patch-level plant diversity patterns: Landscape Ecology, v. 39, 187, 21 p., https://doi.org/10.1007/s10980-024-01986-x.","productDescription":"187, 21 p.","ipdsId":"IP-164026","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":466787,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1007/s10980-024-01986-x","text":"Publisher Index Page"},{"id":464293,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Beef Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -109.958,\n              37.98\n            ],\n            [\n              -109.958,\n              37.95\n            ],\n            [\n              -109.93,\n              37.95\n            ],\n            [\n              -109.93,\n              37.98\n            ],\n            [\n              -109.958,\n              37.98\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"39","noUsgsAuthors":false,"publicationDate":"2024-11-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Havrilla, Caroline A.","contributorId":303002,"corporation":false,"usgs":false,"family":"Havrilla","given":"Caroline A.","affiliations":[{"id":65592,"text":"Department of Forest and Rangeland Stewardship, Colorado State University, Fort Collins, CO 80524","active":true,"usgs":false}],"preferred":false,"id":918771,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":918772,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70261727,"text":"70261727 - 2024 - Climate-smart agriculture for Ukraine: Winter wheat breeding for food security and climate adaptation","interactions":[],"lastModifiedDate":"2024-12-20T17:18:56.900204","indexId":"70261727","displayToPublicDate":"2024-11-01T11:12:59","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"Climate-smart agriculture for Ukraine: Winter wheat breeding for food security and climate adaptation","docAbstract":"<p>Since the onset of the COVID-19 pandemic in early 2020, people have experienced food insecurity challenges because of increased prices of staple food commodities and loss of income or livelihood. Globally, countries with limited capacity to adapt have struggled to recover from pandemic-related disruptions and are further challenged to address adverse effects of climate change on agricultural production (United Nations [UN], 2022). Ukraine, a key agricultural exporter of staple food commodities, has a vital role in contributing to global food security, in particular through its wheat exports to countries in the Middle East, North Africa, and Europe (Martyshev and others, 2023). However, Ukraine’s role as a stable source of global wheat has been disrupted by the ongoing Russia-Ukraine war—a conflict which began in February of 2022. </p><p>Given the fragile state of global and local markets and food systems, and the increasing risk climate change poses to agricultural production globally, Ukraine has prioritized adopting efficient agricultural practices to contribute to stabilizing crop yields and to increase its capacity to export wheat and other staple crops. According to Ukraine’s Ministry of Agrarian Policy and Food (MINAGRO), along with addressing climate change, a contributing driver for this prioritization is the desire to join the European Union (EU) and the need to meet the requirements for the EU’s Common Agricultural Policy (CAP) for acceptance as a union member state (Markiyan Dmytrasevych, a former deputy minister of MINAGRO, oral commun., 2023). As a result, MINAGRO is considering climate-smart agricultural practices to secure future crop yields and build resilience within its agricultural sector, especially as the war has impeded millions of tons of crops from reaching domestic and global markets. This report employs the climate-smart agriculture framework to provide Ukrainian agricultural policy- and decision makers and others in technical and development assistance roles with an overview of relevant climate, environmental, and agricultural policy and market factors, and projections on climate and environmental resources that could influence the implementation of climate-smart agricultural practices in Ukraine, and aid Ukraine in successfully joining the EU.</p>","language":"English","publisher":"Department of Interior International Technical Assistance Program (DOI ITAP)","usgsCitation":"Romero, V., Schultz, A.R., Powlen, K., and Shah, S.D., 2024, Climate-smart agriculture for Ukraine: Winter wheat breeding for food security and climate adaptation, 62 p.","productDescription":"62 p.","ipdsId":"IP-160321","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":465376,"rank":1,"type":{"id":15,"text":"Index 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0000-0002-9685-0063","orcid":"https://orcid.org/0000-0002-9685-0063","contributorId":328833,"corporation":false,"usgs":true,"family":"Powlen","given":"Kathryn","email":"","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":921608,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shah, Sachin D. 0000-0002-5440-5535 sdshah@usgs.gov","orcid":"https://orcid.org/0000-0002-5440-5535","contributorId":194450,"corporation":false,"usgs":true,"family":"Shah","given":"Sachin","email":"sdshah@usgs.gov","middleInitial":"D.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":921609,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70274748,"text":"70274748 - 2024 - Converting non-standard data to standardized data","interactions":[],"lastModifiedDate":"2026-04-08T15:46:07.107982","indexId":"70274748","displayToPublicDate":"2024-11-01T10:45:22","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"16","title":"Converting non-standard data to standardized data","docAbstract":"<p><span>Fishery biologists spend considerable effort over multiple years collecting data on fish population and community status using a particular sampling method or set of methods. However, new (and often more effective) sampling methods and technologies are continuously being developed. To incorporate these new sampling techniques, fishery biologists need a means for converting fish sampling data collected using old methods so that they can be compared with data collected using new sampling methods. Similarly, fishery biologists often need a means to compare fish sampling data collected using the same method over time (e.g., from year to year) and space (e.g., between sample sites). If fish abundance, species presence, or richness are estimated using an unbiased statistical estimator (e.g., occupancy estimation, capture-recapture estimation), the estimates can be validly compared even if the fish sample data were collected with different methods. However, if unbiased statistical estimators were not used, biologists need methods for adjusting fish sampling data collected using different methods or using the same method collected under different sampling conditions. In this chapter, we describe and provide examples of statistical techniques for converting nonstandard fish sampling data to American Fisheries Society (AFS) standardized data and for making comparisons of fish sampling data collected at different times or at different locations. We define standard fish sampling data as data collected using the standardized fish sampling methods described throughout this book. Any other sampling methods and associated data are thus defined as nonstandard. Before delving into the details of the techniques that can be used to convert data, we describe the nature of fish sample data, their uses, and their limitations.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Standard methods for sampling North American freshwater fishes","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Fisheries Society","doi":"10.47886/9781934874769.ch16","usgsCitation":"Peterson, J.T., de Kerckhove, D.T., Giacomini, H.C., and Paukert, C., 2024, Converting non-standard data to standardized data, chap. 16 <i>of</i> Standard methods for sampling North American freshwater fishes, https://doi.org/10.47886/9781934874769.ch16.","ipdsId":"IP-132428","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":502279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":958909,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"de Kerckhove, Derrick T.","contributorId":369387,"corporation":false,"usgs":false,"family":"de Kerckhove","given":"Derrick","middleInitial":"T.","affiliations":[{"id":16762,"text":"Ontario Ministry of Natural Resources and Forestry","active":true,"usgs":false}],"preferred":false,"id":958910,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Giacomini, Henrique C.","contributorId":369388,"corporation":false,"usgs":false,"family":"Giacomini","given":"Henrique","middleInitial":"C.","affiliations":[{"id":16762,"text":"Ontario Ministry of Natural Resources and Forestry","active":true,"usgs":false}],"preferred":false,"id":958911,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paukert, Craig 0000-0002-9369-8545","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":268045,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":958912,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70274732,"text":"70274732 - 2024 - Coldwater fish in wadeable streams","interactions":[],"lastModifiedDate":"2026-04-09T13:35:34.103086","indexId":"70274732","displayToPublicDate":"2024-11-01T10:29:27","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"8","title":"Coldwater fish in wadeable streams","docAbstract":"<p>Although we are consistent with the past edition of this volume regarding standard sampling techniques for wadeable, coldwater streams, this edition reflects recent literature, advances in calibrating numbers, and obtaining lengths of fish collected and provides additional clarity regarding effort. We also specify a minimum of two netters and one electrofisher operator for backpack electrofishing to allow capture of fish that “roll” downstream without surfacing (e.g., fish like sculpins, which lack swim bladders); however, as in the past edition, a minimum of one netter and one operator may be used on studies focused on fish with swim bladders, like salmonids (salmons and trouts). Finally, this chapter mentions specifically what factors should lead to standard adjustments to techniques to account for the range of habitat features typically encountered in headwater streams.</p><p>Small, wadeable streams comprise most habitats available to fish in fluvial networks. Wadeable streams are generally less than 1 m deep, and fish can be sampled without the use of float craft. Cold waters are generally defined as having mean 7-d summer maximum water temperatures less than 20°C, providing habitat for coldwater fishes.</p><p>Fish fauna of small, coldwater North American streams typically include salmonids, sculpins, minnows, sticklebacks, suckers, or lampreys (Hocutt and Wiley 1986). Standard sampling protocols provided herein apply most readily to salmonids because of their sport and commercial values (Johnson et al. 2007). Salmonids also have cultural values, are well studied and widely distributed, and act as predators, competitors, and prey (Lee et al. 1997). However, many of these methods can also be applied effectively to sample nonsalmonids. As interest in nonsalmonid species grows, further development and investigation of sampling methods for a broader diversity of species is expected (see section 8.5).</p>","language":"English","publisher":"American Fisheries Society","doi":"10.47886/9781934874769.ch8","usgsCitation":"Falke, J.A., Dunham, J., Rosenberger, A.E., Thurow, R.F., Dolloff, A., Howell, P.J., and Saunders, W.C., 2024, Coldwater fish in wadeable streams, https://doi.org/10.47886/9781934874769.ch8.","ipdsId":"IP-135033","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":502277,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":958875,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunham, Jason 0000-0002-6268-0633","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":220078,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":958876,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosenberger, Amanda E. 0000-0002-5520-8349 arosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5520-8349","contributorId":5581,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","email":"arosenberger@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958877,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thurow, Russell F.","contributorId":369327,"corporation":false,"usgs":false,"family":"Thurow","given":"Russell","middleInitial":"F.","affiliations":[{"id":36226,"text":"U.S. Department of Agriculture Forest Service","active":true,"usgs":false}],"preferred":false,"id":958878,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dolloff, Andrew","contributorId":369328,"corporation":false,"usgs":false,"family":"Dolloff","given":"Andrew","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":958879,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Howell, Philip J.","contributorId":369329,"corporation":false,"usgs":false,"family":"Howell","given":"Philip","middleInitial":"J.","affiliations":[{"id":36226,"text":"U.S. Department of Agriculture Forest Service","active":true,"usgs":false}],"preferred":false,"id":958880,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Saunders, W. Carl","contributorId":369330,"corporation":false,"usgs":false,"family":"Saunders","given":"W.","middleInitial":"Carl","affiliations":[{"id":36226,"text":"U.S. Department of Agriculture Forest Service","active":true,"usgs":false}],"preferred":false,"id":958881,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70274726,"text":"70274726 - 2024 - An introduction to standardized sampling","interactions":[],"lastModifiedDate":"2026-04-08T15:23:31.605172","indexId":"70274726","displayToPublicDate":"2024-11-01T10:18:25","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"1","title":"An introduction to standardized sampling","docAbstract":"<p>In 2009, the first edition of<span>&nbsp;</span><i>Standard Methods for Sampling North American Freshwater Fishes</i><span>&nbsp;</span>was published. This was the first time in the history of fisheries science that standardization of methods and equipment had taken place on such a large geographic scale. Since its publication, the methods have been used extensively across North America by local, state, and federal agencies, organizations, and universities who have seen the advantages of large-scale data comparison. Authors have been invited to present these methods in other locations around the world to help with standard sampling programs on other continents. Now, with large-scale issues such as human-caused climate change, effects of landscape-scale regulations, and effects of habitat degradation continuing to increase in importance, the ability to compare data across wide regions and political boundaries, compare data over time, and collect data with improved accuracy and precision is more important than ever. This new edition of<span>&nbsp;</span><i>Standard Methods</i><span>&nbsp;</span>is sponsored by the American Fisheries Society (AFS), the U.S. Fish and Wildlife Service, and the Association of Fish and Wildlife Agencies (AFWA), with contributions by numerous state, provincial and federal agencies, and numerous academic institutions and nongovernmental organizations (NGOs). It is authored by over 100 experts in fisheries sampling from across Canada, Mexico, and the United States. Most techniques for water body types addressed in the first edition have been kept the same-in the interest of standardization over time; however, many important additions have been made.</p><p>Like the first edition, these methods are designed for fish community assessments in North American aquatic systems (e.g., for this edition, lakes, ponds, rivers, and streams containing warmwater and coldwater species; the Great Lakes, wetlands, and cenotes). Although other methods may be available that better target a more specific size-group or species, these techniques were selected as most effective for general surveys of these systems and typically are the most effective for capturing the common fishes found in these waters.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Standard methods for sampling North American freshwater fishes","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Fisheries Society","doi":"10.47886/9781934874769.ch1","usgsCitation":"Bonar, S.A., Conroy, J.D., Contreras-Balderas, S., and Iles, A.C., 2024, An introduction to standardized sampling, chap. 1 <i>of</i> Standard methods for sampling North American freshwater fishes, p. 1-22, https://doi.org/10.47886/9781934874769.ch1.","productDescription":"22 p.","startPage":"1","endPage":"22","ipdsId":"IP-152853","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":502275,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Second edition","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":958864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conroy, Joseph D.","contributorId":145527,"corporation":false,"usgs":false,"family":"Conroy","given":"Joseph","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":958865,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Contreras-Balderas, Salvador","contributorId":35956,"corporation":false,"usgs":true,"family":"Contreras-Balderas","given":"Salvador","email":"","affiliations":[],"preferred":false,"id":958866,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Iles, Alison C.","contributorId":369326,"corporation":false,"usgs":false,"family":"Iles","given":"Alison","middleInitial":"C.","affiliations":[],"preferred":false,"id":958867,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70262576,"text":"70262576 - 2024 - A strategic and science-based framework for management of invasive annual grasses in the sagebrush biome","interactions":[],"lastModifiedDate":"2025-01-21T16:29:14.018355","indexId":"70262576","displayToPublicDate":"2024-11-01T10:12:36","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6002,"text":"Rangeland Ecology & Management","active":true,"publicationSubtype":{"id":10}},"title":"A strategic and science-based framework for management of invasive annual grasses in the sagebrush biome","docAbstract":"<p>In the last 20 years, the North American sagebrush biome has lost over 500,000 ha of intact and largely intact sagebrush plant communities on an annual basis. Much of this loss has been associated with expansion and infilling of invasive annual grasses (IAGs). These species are highly competitive against native perennial grasses in disturbed environments, and create fuel conditions that increase both the likelihood of fire ignition and the ease of wildfire spread across large landscapes. Given the current rate of IAG expansion in both burned and unburned rangelands, ameliorating the IAG threat will involve a range-wide paradigm shift from opportunistic and reactive management, to a framework that spatially prioritizes maintenance of largely intact, uninvaded areas and improvement of invaded habitats in strategic locations. We created a framework accompanied by biome-wide priority maps using geospatial overlays that target areas to MAINTAIN large, uninvaded areas as natural resource anchors through activities to prevent IAGs and IMPROVE areas to reduce invasions with the highest potential for management efforts to succeed in restoring large, intact landscapes. We then offer three case studies to illustrate the use of these concepts and map products at multiple scales. Our map products operate at the biome scale using regional data sources but additional data sources may be needed to inform local conservation planning. However, the basic strategic management principles of a) maintaining the intact and uninvaded areas that we can least afford to lose to IAGs and b) improving areas where we have a higher likelihood of restoration success, is timely, relevant, and scalable from the biome to local levels.&nbsp;</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2024.08.019","usgsCitation":"Boyd, C.S., Creutzburg, M.K., Kumar, A.V., Smith, J., Doherty, K., Mealor, B.A., Bradford, J., Cahill, M., Copeland, S., Duquette, C., Garner, L., Holdrege, M., Sparklin, B., and Cross, T.B., 2024, A strategic and science-based framework for management of invasive annual grasses in the sagebrush biome: Rangeland Ecology & Management, v. 97, p. 61-72, https://doi.org/10.1016/j.rama.2024.08.019.","productDescription":"12 p.","startPage":"61","endPage":"72","ipdsId":"IP-164191","costCenters":[{"id":568,"text":"Southwest Biological Science 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A.","contributorId":152584,"corporation":false,"usgs":false,"family":"Mealor","given":"Brian","email":"","middleInitial":"A.","affiliations":[{"id":6656,"text":"University of Wyoming, Renewable Resources","active":true,"usgs":false}],"preferred":false,"id":924592,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":924593,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cahill, Matthew","contributorId":245219,"corporation":false,"usgs":false,"family":"Cahill","given":"Matthew","email":"","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":924666,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Copeland, Stella M.","contributorId":196218,"corporation":false,"usgs":false,"family":"Copeland","given":"Stella M.","affiliations":[{"id":37009,"text":"USDA Agricultural Research Service","active":true,"usgs":false}],"preferred":false,"id":924595,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Duquette, Cameron A.","contributorId":349699,"corporation":false,"usgs":false,"family":"Duquette","given":"Cameron A.","affiliations":[{"id":83505,"text":"The Nature Conservancy, Eastern Oregon Agricultural Research Center, Burns, OR 97720","active":true,"usgs":false}],"preferred":false,"id":924596,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Garner, Lindy","contributorId":349700,"corporation":false,"usgs":false,"family":"Garner","given":"Lindy","affiliations":[{"id":83506,"text":"US Department of Interior, US Fish and Wildlife Service, Great Falls, MT 59405","active":true,"usgs":false}],"preferred":false,"id":924597,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Holdrege, Martin C. 0000-0003-4078-6012","orcid":"https://orcid.org/0000-0003-4078-6012","contributorId":295782,"corporation":false,"usgs":true,"family":"Holdrege","given":"Martin C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":924598,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sparklin, Bill","contributorId":349701,"corporation":false,"usgs":false,"family":"Sparklin","given":"Bill","affiliations":[{"id":83506,"text":"US Department of Interior, US Fish and Wildlife Service, Great Falls, MT 59405","active":true,"usgs":false}],"preferred":false,"id":924599,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Cross, Todd B.","contributorId":189267,"corporation":false,"usgs":false,"family":"Cross","given":"Todd","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":924600,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70261872,"text":"70261872 - 2024 - Effect of invasive plant removal on the density of Peromyscus sonoriensis (western deer mice) in Point Reyes National Seashore, California, USA.","interactions":[],"lastModifiedDate":"2025-01-02T14:22:50.155687","indexId":"70261872","displayToPublicDate":"2024-11-01T10:11:30","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1462,"text":"Ecological Restoration","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Effect of invasive plant removal on the density of <i>Peromyscus sonoriensis </i> (western deer mice) in Point Reyes National Seashore, California, USA.","title":"Effect of invasive plant removal on the density of Peromyscus sonoriensis (western deer mice) in Point Reyes National Seashore, California, USA.","docAbstract":"<p>Non-native plants can affect communities through direct competition, and by providing refuge to seed predators, creating apparent competition with native plants. <i>Ammophila arenaria</i> (European beachgrass) has been introduced to coastal dune habitats throughout the western United States where it forms dense monocultures, stabilizes dunes, and alters abiotic and biotic conditions. The dominance of European beachgrass has been linked to declines of<i> Lupinus tidestromii</i> (Tidestrom’s lupine), an herb endemic to coastal dune communities in central and northern California. <i>Peromyscus sonoriensis</i> (western deer mice), a native seed predator, use beachgrass as refuge from predators. Tidestrom’s lupine plants near European beachgrass stands experience greater predation pressure from deer mice. At Point Reyes National Seashore, California, USA (PRNS), mechanical removal, manual pulling, and herbicide treatment have been used to reduce the density of European beachgrass near Tidestrom’s lupine populations. We trapped deer mice at five sites in PRNS that experienced different management regimes and used spatially-explicit capture-recapture models to estimate deer mouse density as a function of site and habitat treatment. We found that deer mouse density was lowest in areas where European beachgrass was mechanically removed and in herbicide-treated foredunes, and highest in areas highly invaded by European beachgrass and <i>Carpobrotus spp.</i> (iceplant). The density of deer mice increased from 2021 to 2022 at every site except one that underwent extensive mechanical removal of European beachgrass from 2010-2011. This study shows enduring effects of European beachgrass removal on the density of a native seed predator and highlights the importance of habitat management for conservation of Tidestrom’s lupine.</p>","language":"English","publisher":"University of Wisconsin Press","doi":"10.3368/er.42.4.271","usgsCitation":"Rose, J.P., Parsons, L., Kleeman, P.M., and Halstead, B., 2024, Effect of invasive plant removal on the density of Peromyscus sonoriensis (western deer mice) in Point Reyes National Seashore, California, USA.: Ecological Restoration, v. 42, no. 4, p. 271-283, https://doi.org/10.3368/er.42.4.271.","productDescription":"14 p.","startPage":"271","endPage":"283","ipdsId":"IP-157736","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":498258,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3368/er.42.4.271","text":"Publisher Index Page"},{"id":465573,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Point Reyes National Seashore","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.13596190950221,\n              38.24285655590538\n            ],\n            [\n              -123.13596190950221,\n              37.89014364527141\n            ],\n            [\n              -122.65921084771676,\n              37.89014364527141\n            ],\n            [\n              -122.65921084771676,\n              38.24285655590538\n            ],\n            [\n              -123.13596190950221,\n              38.24285655590538\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"42","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-12-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Rose, Jonathan P. 0000-0003-0874-9166 jprose@usgs.gov","orcid":"https://orcid.org/0000-0003-0874-9166","contributorId":199339,"corporation":false,"usgs":true,"family":"Rose","given":"Jonathan","email":"jprose@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":922103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parsons, Lorraine S 0000-0003-1943-037X","orcid":"https://orcid.org/0000-0003-1943-037X","contributorId":333962,"corporation":false,"usgs":false,"family":"Parsons","given":"Lorraine S","affiliations":[{"id":80025,"text":"NPS - Point Reyes National Seashore - PORE","active":true,"usgs":false}],"preferred":false,"id":922104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kleeman, Patrick M. 0000-0001-6567-3239 pkleeman@usgs.gov","orcid":"https://orcid.org/0000-0001-6567-3239","contributorId":3948,"corporation":false,"usgs":true,"family":"Kleeman","given":"Patrick","email":"pkleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":922105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":922106,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70260412,"text":"sim3527 - 2024 - Geomorphic map of the Umatilla River corridor, Oregon","interactions":[],"lastModifiedDate":"2025-12-22T20:27:56.574752","indexId":"sim3527","displayToPublicDate":"2024-11-01T10:05:11","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3527","title":"Geomorphic map of the Umatilla River corridor, Oregon","docAbstract":"<p><span>This map portrays the distribution of landforms along the Umatilla River in northeastern Oregon and covers a corridor 127 kilometers long from the confluence of the Umatilla River with the Columbia River upstream to Meacham Creek. The map encompasses the valley bottom and extends about 1 kilometer up the adjoining hillslopes. Map data are intended to support water quality and fisheries enhancement efforts pursuant to the First Foods, a resource-management approach that focuses on traditionally gathered foods including water, fish, big game, roots, and berries and calls attention to the reciprocity between people and the foods upon which humans depend.</span></p><p><span>The Umatilla River drains about 6,300 square kilometers on the northwest slope of the Blue Mountains in northeast Oregon. Most of the drainage basin is underlain by Miocene basalt flows of the Columbia River Basalt Group. Younger, weakly lithified, late Miocene and early Pliocene gravel deposits of local origin (for example, McKay Formation) are mapped in a few places. Upland surfaces are mantled with windborne silt (loess) correlative with deposits elsewhere known as the Palouse Formation. Surfaces below an elevation of about 340 meters were inundated repeatedly by large Pleistocene glacial outburst floods, most emanating from glacial Lake Missoula in western Montana. In backflooded areas such as the lower Umatilla River valley, Missoula floods deposited extensive slack-water silt.</span></p><p><span>Areas mapped as open water, active channel and tie channel, flood basin, valley bottom, and modified land constitute the geomorphic floodplain: the area subject to occasional inundation by the Umatilla River. Deposits and landforms within the floodplain are inset into Missoula flood deposits and hence postdate the 20–15-kilo-annum Missoula floods. Some floodplain deposits are no more than a few centuries old, as indicated by substantial erosion and deposition during the Umatilla River flood of February 2020, the largest since systematic measurements began in October 1903. Deposits and landforms of the floodplain are transient features within the longer-term incision of the Umatilla River into mid-Miocene flood basalts and younger gravel of the McKay Formation.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3527","collaboration":"Prepared in cooperation with the Confederated Tribes of the Umatilla Indian Reservation","usgsCitation":"Yuh, I.P., Haugerud, R.A., O'Connor, J.E., and O'Daniel, S.J., 2024, Geomorphic map of the Umatilla River corridor, Oregon: U.S. Geological Survey Scientific Investigation Map 3527, scale 1:12,000, 6 sheets, https://doi.org/10.3133/sim3527.","productDescription":"6 Sheets: 60.00 x 22.00 inches or smaller; Data Release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-158910","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":497889,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117653.htm","linkFileType":{"id":5,"text":"html"}},{"id":463503,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13OOE7Q","description":"Yuh, I.P., Haugerud, R.A., O’Connor, J.E., and O’Daniel, S.J., 2024, Geospatial database for the geomorphic map of the Umatilla River corridor, Oregon: U.S. Geological Survey data release, https://doi.org/10.5066/P13OOE7Q.","linkHelpText":"Geospatial database for the geomorphic map of the Umatilla River corridor, Oregon"},{"id":463502,"rank":7,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3527/sim3527_sheet06.pdf","text":"Sheet 6","size":"14 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":463501,"rank":6,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3527/sim3527_sheet05.pdf","text":"Sheet 5","size":"14 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":463500,"rank":5,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3527/sim3527_sheet04.pdf","text":"Sheet 4","size":"17 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":463499,"rank":4,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3527/sim3527_sheet03.pdf","text":"Sheet 3","size":"15 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":463498,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3527/sim3527_sheet02.pdf","text":"Sheet 2","size":"13 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":463497,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3527/sim3527_sheet01.pdf","text":"Sheet 1","size":"11 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":463496,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3527/covrthb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Umatilla River corridor","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -118.33321833933547,\n              45.68071824192785\n            ],\n            [\n              -118.3561230993523,\n              45.730645505488894\n            ],\n            [\n              -118.68247351832258,\n              45.7153349524672\n            ],\n            [\n              -118.92979975453633,\n              45.69914300966221\n            ],\n            [\n              -119.0766497072885,\n              45.72208021102742\n            ],\n            [\n              -119.23122860492205,\n              45.82720081569687\n            ],\n            [\n              -119.31238252617953,\n              45.9495910938214\n            ],\n            [\n              -119.37228184901241,\n              45.932123278858995\n            ],\n            [\n              -119.33556936082459,\n              45.81912165021458\n            ],\n            [\n              -119.34329830570641,\n              45.7652305840443\n            ],\n            [\n              -119.05732734508436,\n              45.64513599220672\n            ],\n            [\n              -118.76555967580092,\n              45.630274925778025\n            ],\n            [\n              -118.33238843274466,\n              45.66767113997548\n            ],\n            [\n              -118.33321833933547,\n              45.68071824192785\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a data-mce-href=\"https://www.usgs.gov/centers/gmeg\" href=\"https://www.usgs.gov/centers/gmeg\" target=\"_blank\" rel=\"noopener\">Geology, Minerals, Energy, &amp; Geophysics Science Center</a><br><a data-mce-href=\"https://www.usgs.gov/\" href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\">U.S. Geological Survey</a><br>350 N. Akron Rd.<br>Moffett Field, CA 94035</p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2024-11-01","noUsgsAuthors":false,"publicationDate":"2024-11-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Yuh, Ian P. 0000-0002-0992-2314","orcid":"https://orcid.org/0000-0002-0992-2314","contributorId":295783,"corporation":false,"usgs":true,"family":"Yuh","given":"Ian","email":"","middleInitial":"P.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":917592,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haugerud, Ralph A. 0000-0001-7302-4351","orcid":"https://orcid.org/0000-0001-7302-4351","contributorId":204669,"corporation":false,"usgs":true,"family":"Haugerud","given":"Ralph","email":"","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":917593,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O'Connor, Jim E. 0000-0002-7928-5883 oconnor@usgs.gov","orcid":"https://orcid.org/0000-0002-7928-5883","contributorId":140771,"corporation":false,"usgs":true,"family":"O'Connor","given":"Jim E.","email":"oconnor@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":917594,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Daniel, Scott J.","contributorId":140123,"corporation":false,"usgs":false,"family":"O’Daniel","given":"Scott","email":"","middleInitial":"J.","affiliations":[{"id":13390,"text":"Confederated Tribes of the Umatilla Indian Reservation, Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":917595,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70274749,"text":"70274749 - 2024 - Statistical analysis","interactions":[],"lastModifiedDate":"2026-04-08T15:14:15.229081","indexId":"70274749","displayToPublicDate":"2024-11-01T10:04:07","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Statistical analysis","docAbstract":"<p><span>Effective monitoring of populations is critical for assessing the efficacy of conservation and management activities, determining the conservation status of a species, and examining trends over time. However, far too often, monitoring efforts fall short of adequately describing the population. Poorly defined problems and objectives, a lack of standard operating procedures, a poor selection of attributes to monitor (We define attributes as characteristics such as presence-absence, relative abundance, size structure, body condition, and age structure data), inadequate survey designs (e.g., low survey effort or statistical power), a lack of consistency due to budget shortages or staffing turnover, and a lack of rigorous analyses of the data focused on improving monitoring methods are the causes of ineffective monitoring (Lindenmayer and Likens 2010; Reynolds 2012). Many of these issues can be addressed prior to implementing a monitoring program by defining clear objectives, developing a formal protocol with specific instructions on how to conduct the survey, analyzing historical data to estimate the required sample size, exploring collaborations between biologists and statisticians, and instituting a formal goal to regularly analyze the data collected to improve the monitoring process (Lindenmayer and Likens 2010). The goal of this chapter is to provide an overview of defining the sampling frame, site selection from the sampling frame, sample size estimation, data summarization and analysis techniques, parameter estimation, and hypothesis testing, as well as recognizing when a monitoring program is unlikely to produce the desired results.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Standard methods for sampling North American freshwater fishes","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Fisheries Society","doi":"10.47886/9781934874769.ch14","usgsCitation":"Stewart, D.R., Broms, K.M., Gerow, K.G., Allen, M.A., and Quist, M., 2024, Statistical analysis, chap. <i>of</i> Standard methods for sampling North American freshwater fishes, p. 285-338, https://doi.org/10.47886/9781934874769.ch14.","productDescription":"54 p.","startPage":"285","endPage":"338","ipdsId":"IP-134392","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":502273,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Second edition","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stewart, David R","contributorId":369391,"corporation":false,"usgs":false,"family":"Stewart","given":"David","middleInitial":"R","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":958913,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Broms, Kristin M","contributorId":369392,"corporation":false,"usgs":false,"family":"Broms","given":"Kristin","middleInitial":"M","affiliations":[{"id":64975,"text":"Neptune and Company","active":true,"usgs":false}],"preferred":false,"id":958914,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gerow, Ken G","contributorId":369393,"corporation":false,"usgs":false,"family":"Gerow","given":"Ken","middleInitial":"G","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":958915,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, Micheal A","contributorId":369394,"corporation":false,"usgs":false,"family":"Allen","given":"Micheal","middleInitial":"A","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":958916,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Quist, Michael C. 0000-0001-8268-1839","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":272016,"corporation":false,"usgs":true,"family":"Quist","given":"Michael C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":958917,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70240993,"text":"70240993 - 2024 - Standard data management practices","interactions":[],"lastModifiedDate":"2026-04-08T14:56:35.897833","indexId":"70240993","displayToPublicDate":"2024-11-01T10:04:06","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"15","title":"Standard data management practices","docAbstract":"<p><span>Accomplishing data management in a standardized and practical way begins with an understanding of what data management is. The Data Management Association defines data management as “the development, execution, and supervision of plans, policies, programs, and practices that deliver, control, protect, and enhance the value of data and information assets throughout their lifecycles” (Earley 2017). In this chapter, we present the tenets of data management in the context of fisheries for our target audience: fisheries biologists who may have limited formal training in data science. Experienced data managers may also benefit from the contents of this chapter, but the authors’ goal is to enhance and improve those activities that produce data, from project planning to acquiring data through field sampling, to cataloging and analyzing data, to sharing and archiving data.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Standard methods for sampling North American freshwater fishes, second edition","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Fisheries Society","doi":"10.47886/9781934874769.ch15","usgsCitation":"Krogman, R., Bayer, J.M., Cooper, A., Kopaska, J., Leonard, N., Pritt, J., Roe, C., Tracy, E., Venturelli, P.A., Wieferich, D.J., and Infante, D.M., 2024, Standard data management practices, chap. 15 <i>of</i> Standard methods for sampling North American freshwater fishes, second edition, p. 339-368, https://doi.org/10.47886/9781934874769.ch15.","productDescription":"30 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,{"id":70256693,"text":"70256693 - 2024 - Warmwater fish in large standing waters","interactions":[],"lastModifiedDate":"2025-01-31T15:57:46.420073","indexId":"70256693","displayToPublicDate":"2024-11-01T09:55:05","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"3","title":"Warmwater fish in large standing waters","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"American Fisheries Society","usgsCitation":"Miranda, L.E., Bonvechio, K., Koch, J., and Moncayo-Estrada, R., 2024, Warmwater fish in large standing waters, p. 45-64.","productDescription":"20 p.","startPage":"45","endPage":"64","ipdsId":"IP-122991","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":481551,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908674,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bonvechio, K.I.","contributorId":341598,"corporation":false,"usgs":false,"family":"Bonvechio","given":"K.I.","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":908675,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koch, J.","contributorId":7065,"corporation":false,"usgs":false,"family":"Koch","given":"J.","affiliations":[],"preferred":false,"id":908676,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moncayo-Estrada, R.","contributorId":243535,"corporation":false,"usgs":false,"family":"Moncayo-Estrada","given":"R.","email":"","affiliations":[{"id":48720,"text":"Instituto Politécnico Nacional-CICIMAR and COFAA","active":true,"usgs":false}],"preferred":false,"id":908677,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70274727,"text":"70274727 - 2024 - Indices for common North American fishes","interactions":[],"lastModifiedDate":"2026-04-08T15:01:12.860751","indexId":"70274727","displayToPublicDate":"2024-11-01T09:54:44","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"20","title":"Indices for common North American fishes","docAbstract":"<p><span>One of the greatest advantages to the standardization of fisheries sampling methods is the comparable data they produce (Bonar et al. 2017). Following American Fisheries Society (AFS) standardized sampling methods, fisheries professionals can more easily compare their data with standardized data collected across North America to address both small- and large-scale fisheries questions. For example, access to standardized data can allow fisheries managers to evaluate if a fish species is within an expected range for weight or length in a particular water body, providing them with valuable information about the baseline health of their fish population. Additionally, given that fish can take years to respond to certain management actions (Meals et al. 2010), access to standardized data over time can be used to assess the effectiveness of these actions. Finally, standardized fisheries data can be analyzed over large geographic regions and provide increased sample sizes to evaluate management actions that cross local or state borders, such as habitat improvements or regulations, as well as the effects of large-scale transformations such as climate change on fish growth or body condition. Ultimately, the use of standardized data enhances the ability of fisheries professionals to address both small- and large-scale threats currently facing freshwater ecosystems and the fishes they support.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Standard methods for sampling North American freshwater fishes","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Fisheries Society","doi":"10.47886/9781934874769.ch20","usgsCitation":"Tracy, E.E., Brouder, M.J., Iles, A.C., Teal, C.N., and Bonar, S.A., 2024, Indices for common North American fishes, chap. 20 <i>of</i> Standard methods for sampling North American freshwater fishes, p. 441-786, https://doi.org/10.47886/9781934874769.ch20.","productDescription":"346 p.","startPage":"441","endPage":"786","ipdsId":"IP-157649","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":502271,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Second edition","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tracy, Erin E.","contributorId":369324,"corporation":false,"usgs":false,"family":"Tracy","given":"Erin","middleInitial":"E.","affiliations":[],"preferred":false,"id":958868,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brouder, Mark J.","contributorId":369325,"corporation":false,"usgs":false,"family":"Brouder","given":"Mark","middleInitial":"J.","affiliations":[],"preferred":false,"id":958869,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Iles, Alison C.","contributorId":369326,"corporation":false,"usgs":false,"family":"Iles","given":"Alison","middleInitial":"C.","affiliations":[],"preferred":false,"id":958870,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Teal, Chad N.","contributorId":337952,"corporation":false,"usgs":false,"family":"Teal","given":"Chad","email":"","middleInitial":"N.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":958962,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":958871,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70257344,"text":"70257344 - 2024 - Warmwater fish in wadeable streams","interactions":[],"lastModifiedDate":"2025-01-31T15:54:43.066269","indexId":"70257344","displayToPublicDate":"2024-11-01T09:52:00","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"4","title":"Warmwater fish in wadeable streams","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Standard methods for sampling North American freshwater fishes, second edition","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Fisheries Society","usgsCitation":"Mercado-Silva, N., Lyons, J., Magnelia, S.J., Peterson, J.T., and Roy, A.H., 2024, Warmwater fish in wadeable streams, chap. 4 <i>of</i> Standard methods for sampling North American freshwater fishes, second edition, p. 65-84.","productDescription":"20 p.","startPage":"65","endPage":"84","ipdsId":"IP-147694","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481550,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mercado-Silva, Norman","contributorId":295289,"corporation":false,"usgs":false,"family":"Mercado-Silva","given":"Norman","affiliations":[{"id":63827,"text":"Centro de Investigación en Biodiversidad y Conservación","active":true,"usgs":false}],"preferred":false,"id":925866,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyons, John","contributorId":176499,"corporation":false,"usgs":false,"family":"Lyons","given":"John","email":"","affiliations":[{"id":7242,"text":"Wisconsin Department of Natural Resources, Madison, WI, USA","active":true,"usgs":false}],"preferred":false,"id":925867,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Magnelia, Stephan J.","contributorId":172959,"corporation":false,"usgs":false,"family":"Magnelia","given":"Stephan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":925868,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peterson, James T. 0000-0002-7709-8590","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":204948,"corporation":false,"usgs":false,"family":"Peterson","given":"James","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":925869,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":910026,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70261991,"text":"70261991 - 2024 - Warmwater fish in rivers","interactions":[],"lastModifiedDate":"2025-01-31T14:27:01.025151","indexId":"70261991","displayToPublicDate":"2024-11-01T09:45:48","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"5","title":"Warmwater fish in rivers","docAbstract":"<div class=\"page-content\"><div class=\"page-content\"><div class=\"page-content\"><p>In addition to the gears described in the previous version, this edition includes an updated water body definition that is inclusive of Mexico and Canada as well as standard methods for the use of cast nets in warmwater rivers. There were organizational changes in the trawling and hoop-net sections to make them consistent with the format for this edition, but the methods themselves have not been changed and no standardized gears (e.g., small-mesh and large-mesh trawls are still both present) have been removed.</p><p>The diversity of warmwater rivers of North America owes to the mosaic of precipitation and geology spanning the continent from the arid systems of the Sonoran Desert to the humid forests of the Appalachian Mountains. The types of rivers discussed in this chapter are highly variable in size from headwaters to mouth but will include parts of rivers that are nonwadeable and larger. Here, we use this flexible definition because we found that regardless of how we classified a river as a whole, whether through basin area, discharge, or stream order, there is sufficient diversity across North America such that major rivers of some regions would be left out. We, therefore, chose to use site-level characterization because characteristics like target fish species and communities and habitat characteristics like water depth, velocity, and channel geomorphology drive or constrain our decisions in the field about what sampling gear to use rather than overall river or river basin characteristics.</p></div></div></div>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Standard methods for sampling North American freshwater fishes, second edition","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Fisheries Society","doi":"10.47886/9781934874769.ch5","usgsCitation":"Pracheil, B., Braaten, P., Macias, E., Guy, C.S., Herzog, D., Hamel, M.J., Justice, J., Loeppky, A., Mollish, J., Simmons, J., and Tripp, S.J., 2024, Warmwater fish in rivers, chap. 5 <i>of</i> Standard methods for sampling North American freshwater fishes, second edition, p. 85-110, https://doi.org/10.47886/9781934874769.ch5.","productDescription":"26 p.","startPage":"85","endPage":"110","ipdsId":"IP-136997","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":481514,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pracheil, Brenda M.","contributorId":280027,"corporation":false,"usgs":false,"family":"Pracheil","given":"Brenda M.","affiliations":[{"id":37070,"text":"Oak Ridge National Laboratory","active":true,"usgs":false}],"preferred":false,"id":922576,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Braaten, Patrick 0000-0003-3362-420X pbraaten@usgs.gov","orcid":"https://orcid.org/0000-0003-3362-420X","contributorId":152682,"corporation":false,"usgs":true,"family":"Braaten","given":"Patrick","email":"pbraaten@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":922575,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Macias, Everardo Barba","contributorId":347841,"corporation":false,"usgs":false,"family":"Macias","given":"Everardo Barba","affiliations":[{"id":83259,"text":"ECOSUR-Tabasco","active":true,"usgs":false}],"preferred":false,"id":922577,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"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":922578,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Herzog, David P","contributorId":347842,"corporation":false,"usgs":false,"family":"Herzog","given":"David P","affiliations":[{"id":83260,"text":"Missouri Dept. Of Conservation","active":true,"usgs":false}],"preferred":false,"id":922579,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hamel, Martin J.","contributorId":171901,"corporation":false,"usgs":false,"family":"Hamel","given":"Martin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":922580,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Justice, John C","contributorId":347843,"corporation":false,"usgs":false,"family":"Justice","given":"John C","affiliations":[{"id":13217,"text":"Tennessee Valley Authority","active":true,"usgs":false}],"preferred":false,"id":922581,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Loeppky, Alison R","contributorId":347844,"corporation":false,"usgs":false,"family":"Loeppky","given":"Alison R","affiliations":[{"id":16603,"text":"University of Manitoba","active":true,"usgs":false}],"preferred":false,"id":922582,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mollish, Jon M","contributorId":347845,"corporation":false,"usgs":false,"family":"Mollish","given":"Jon M","affiliations":[{"id":13217,"text":"Tennessee Valley Authority","active":true,"usgs":false}],"preferred":false,"id":922583,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Simmons, Jeffrey W","contributorId":347846,"corporation":false,"usgs":false,"family":"Simmons","given":"Jeffrey W","affiliations":[{"id":13217,"text":"Tennessee Valley Authority","active":true,"usgs":false}],"preferred":false,"id":922584,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Tripp, Sara J.","contributorId":253122,"corporation":false,"usgs":false,"family":"Tripp","given":"Sara","email":"","middleInitial":"J.","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":922585,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70266578,"text":"70266578 - 2024 - Developing a predictive model to identify Sea Lamprey parasitism on Lake Trout using biologgers","interactions":[],"lastModifiedDate":"2025-05-09T14:36:58.886325","indexId":"70266578","displayToPublicDate":"2024-11-01T09:34:10","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":13429,"text":"Transactions of American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Developing a predictive model to identify Sea Lamprey parasitism on Lake Trout using biologgers","docAbstract":"<div class=\" sec\"><div class=\"title\">Objective</div><p class=\"chapter-para\">Sea Lamprey Petromyzon marinus remain problematic for Lake Trout Salvelinus namaycush restoration in the Laurentian Great Lakes. Fisheries assessments would benefit from knowledge of spatial–temporal patterns of Sea Lamprey parasitism on Lake Trout; however, such patterns are challenging to estimate from wounding rates on caught Lake Trout. Electronic tags have been used to identify distinct fish behaviors (e.g., foraging or spawning) using measurements of acceleration or heart rate. We hypothesized that Sea Lamprey attachment would elicit changes in the heart rate and swimming behavior of Lake Trout. Here, we determined whether tagging devices could record these changes and whether we could accurately predict lamprey attachment on Lake Trout using these recordings.</p></div><div class=\" sec\"><div class=\"title\">Methods</div><p class=\"chapter-para\">Adult Lake Trout (n = 34) were implanted with acceleration and heart rate tags and then were subjected to Sea Lamprey parasitism within a laboratory setting. Approximately 70 different acceleration and heart rate metrics were collected and tried as predictors of lamprey attachment. The top variables were used to train random forest models and then tried on test data sets. The accuracy of these models was then validated using a jackknife approach.</p></div><div class=\" sec\"><div class=\"title\">Result</div><p class=\"chapter-para\">Metrics related to body orientation and heart rate were identified as the best predictors of Sea Lamprey attachment. The best models predicted lamprey attachments with high accuracy; however, individual‐level jackknife tests resulted in less accurate cross‐individual prediction and regularly predicted false negatives. These findings may be related to individual variance in the Lake Trout response to attachment, but there was evidence that the shifting of tags after implantation impacted predictive performance, which could be remedied with adjustments during implantation.</p></div><div class=\" sec\"><div class=\"title\">Conclusions</div><p class=\"chapter-para\">Our study highlights the potential to use tagging devices for quantifying Sea Lamprey attachments on Lake Trout in the wild. Further development appears necessary; however, once improved, these predictive models have the potential to generate field‐based estimates of Sea Lamprey attack rates on Lake Trout.</p></div>","language":"English","publisher":"Oxford Academic","doi":"10.1002/tafs.10491","usgsCitation":"Reeve, C., Adams, J., Miehls, S.M., Lowe, M.R., Cooke, S.J., Moser, M.L., and Brownscombe, J., 2024, Developing a predictive model to identify Sea Lamprey parasitism on Lake Trout using biologgers: Transactions of American Fisheries Society, v. 153, no. 6, p. 781-801, https://doi.org/10.1002/tafs.10491.","productDescription":"21 p.","startPage":"781","endPage":"801","ipdsId":"IP-153709","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":488292,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/tafs.10491","text":"Publisher Index Page"},{"id":485642,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"153","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-11-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Reeve, Connor","contributorId":354867,"corporation":false,"usgs":false,"family":"Reeve","given":"Connor","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":936593,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Jean V.","contributorId":354868,"corporation":false,"usgs":false,"family":"Adams","given":"Jean V.","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":936594,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miehls, Scott M. 0000-0002-5546-1854 smiehls@usgs.gov","orcid":"https://orcid.org/0000-0002-5546-1854","contributorId":5007,"corporation":false,"usgs":true,"family":"Miehls","given":"Scott","email":"smiehls@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":936595,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lowe, Michael R. 0000-0002-4645-9429","orcid":"https://orcid.org/0000-0002-4645-9429","contributorId":10539,"corporation":false,"usgs":true,"family":"Lowe","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":936596,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cooke, Steven J.","contributorId":224158,"corporation":false,"usgs":false,"family":"Cooke","given":"Steven","email":"","middleInitial":"J.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":936597,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Moser, Mary L.","contributorId":195100,"corporation":false,"usgs":false,"family":"Moser","given":"Mary","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":936598,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brownscombe, Jake W.","contributorId":354870,"corporation":false,"usgs":false,"family":"Brownscombe","given":"Jake W.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":936599,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70261022,"text":"70261022 - 2024 - Evaluating the sagebrush conservation design through the lens of a sagebrush indicator species","interactions":[],"lastModifiedDate":"2024-11-20T16:28:34.438486","indexId":"70261022","displayToPublicDate":"2024-11-01T09:19:22","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6002,"text":"Rangeland Ecology & Management","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the sagebrush conservation design through the lens of a sagebrush indicator species","docAbstract":"<p>Sagebrush ecosystems support a suite of unique species such as the emblematic greater sage-grouse (<i>Centrocercus urophasianus</i>; sage-grouse) but are under increasing pressure from anthropogenic stressors such as annual grass invasion, conifer encroachment, altered wildfire regimes, and land use change. We examined the ability of an ecosystem-based framework for sagebrush conservation, the sagebrush conservation design (SCD) strategy, and the associated model of sagebrush ecological integrity (SEI), to identify and rank priority habitats for sage-grouse, a sagebrush indicator species. We compared sage-grouse population trends from 1996–2021 across the three ranked SEI categories. We then modeled those trends directly as a function of the same landcover predictors underlying SEI, used the median trend estimates to recategorize the sage-grouse’s range, and used spatial correlation methods to compare our sage-grouse performance categories with those of SEI. Finally, we compared the sage-grouse condition categories, predicted by our landcover-based model, to empirical trends derived from population count data. We found that the SCD and SEI were effective tools for identifying and ranking priority habitats for sage-grouse. Population trends were stable in the core areas identified by SEI but declining in the lower (i.e., growth and other) condition categories. As a result, core areas encompassed an increasingly larger share of the total sage-grouse population in a disproportionately smaller area. Our model supports the general functional relationships between landcover and sage-grouse performance suggested by SEI. We found strong spatial congruence between our categories of predicted sage-grouse population performance, the condition categories of SEI, and empirical trends derived from population count data. Our analysis demonstrates that proactive ecosystem-based approaches to the conservation of the sagebrush biome can help optimize the return on limited conservation resources and benefits for sagebrush obligate species and help reduce some of the real and perceived conflicts inherent in single-species management.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2024.08.021","usgsCitation":"Prochazka, B.G., Lundblad, C.G., Doherty, K., O’Neil, S.T., Tull, J.C., Abele, S., Aldridge, C.L., and Coates, P.S., 2024, Evaluating the sagebrush conservation design through the lens of a sagebrush indicator species: Rangeland Ecology & Management, v. 97, p. 146-159, https://doi.org/10.1016/j.rama.2024.08.021.","productDescription":"14 p.","startPage":"146","endPage":"159","ipdsId":"IP-162640","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":466788,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rama.2024.08.021","text":"Publisher Index Page"},{"id":464350,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Idaho, New Mexico, Nevada, Montana, Oregon, Utah, Washington, Wyoming","otherGeospatial":"Great Plains, Intermountain West, Southern Great Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.46461214797594,\n              47.34790601551299\n            ],\n            [\n              -120.46461214797594,\n              35.22486431641359\n            ],\n            [\n              -104.39395814136043,\n              35.22486431641359\n            ],\n            [\n              -104.39395814136043,\n              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,{"id":70260930,"text":"70260930 - 2024 - Spread and frequency of explosive silicic volcanism of the Carpathian-Pannonian Region during Early Miocene: Clues from the SW Pannonian Basin and the Dinaridesion during Early Miocene: clues from the SW Pannonian Basin and the Dinarides","interactions":[],"lastModifiedDate":"2024-11-15T14:52:30.682183","indexId":"70260930","displayToPublicDate":"2024-11-01T08:34:36","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Spread and frequency of explosive silicic volcanism of the Carpathian-Pannonian Region during Early Miocene: Clues from the SW Pannonian Basin and the Dinaridesion during Early Miocene: clues from the SW Pannonian Basin and the Dinarides","docAbstract":"<p><span>Explosive silicic volcanism of the Carpathian-Pannonian Region (CPR) is increasingly recognized as the primary source of tephra across the Alpine-Mediterranean region during the Early and Middle Miocene. However, the tephrostratigraphic framework for this period of volcanic activity is still incomplete. We present new multi-proxy data from Lower Miocene ignimbrites and tephra fallout deposits from the southwestern CPR and the Dinaride Lake System and integrate them into existing datasets to better resolve the regional extent and scale of these eruptions of the CPR. Volcanic glass geochemistry indicates distal fallout tuffs deposited in the Sinj Basin are correlative with the proximal Ostoros ignimbrites from the Bükkalja Volcanic Field, indicative of regionally extensive volcanism at 17.295&nbsp;±&nbsp;0.028&nbsp;Ma, based on CA-ID-TIMS U</span><img src=\"https://sdfestaticassets-us-east-1.sciencedirectassets.com/shared-assets/55/entities/sbnd.gif\" alt=\"single bond\" data-mce-src=\"https://sdfestaticassets-us-east-1.sciencedirectassets.com/shared-assets/55/entities/sbnd.gif\"><span>Pb zircon geochronology. Based on integrated tephrostratigraphic data, newly identified 17.064&nbsp;±&nbsp;0.010&nbsp;Ma massive rhyolitic ignimbrite deposits from the Kalnik Volcaniclastic Complex located in the southwestern CPR are correlative with the 17.062&nbsp;±&nbsp;0.010&nbsp;Ma Mangó massive ignimbrite found in the Bükkalja Volcanic Field located in the northern CPR. Based on these new observations of its potential areal distribution and estimated thicknesses, these two widespread ∼17.1&nbsp;Ma ignimbrites represent intermediate to large caldera-forming ignimbrites, larger than previously suggested. Finally, volcanic glass geochemistry of fallout deposits from the Dinaridic Sinj and Livno-Tomislavgrad Basins have similar volcanic glass geochemistry as the rhyolitic pumices from the lowermost part of the Bogács ignimbrite unit of the Bükkalja Volcanic Field. However, high-precision geochronology indicates that these distal ashfalls were deposited at 16.9567&nbsp;±&nbsp;0.0074&nbsp;Ma, significantly predating the 16.824&nbsp;±&nbsp;0.028&nbsp;Ma emplacement of the fiamme-bearing part of the Bogács ignimbrite. These distinct ages suggest that the Bogács unit represents multiple eruptive events and indicating that further work is required to deconvolve this portion of the CPR volcanic record. Together, these data suggest that large volume CPR ignimbrite volcanism was more frequent and widespread than previously understood, enhancing the existing volcanic framework and history of the source region for this time period.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2024.108215","usgsCitation":"Brlek, M., Trinajstic, N., Gaynor, S.P., Kutterolf, S., Hauff, F., Schindlbeck-Belo, J., Suica, S., Wang, K., Lee, H., Watts, E., Georgiev, S.V., Brcic, V., Spelic, M., Misur, I., Kukoc, D., Schoene, B., and Lukacs, R., 2024, Spread and frequency of explosive silicic volcanism of the Carpathian-Pannonian Region during Early Miocene: Clues from the SW Pannonian Basin and the Dinaridesion during Early Miocene: clues from the SW Pannonian Basin and the Dinarides: Journal of Volcanology and Geothermal Research, v. 445, 108215, 22 p., https://doi.org/10.1016/j.jvolgeores.2024.108215.","productDescription":"108215, 22 p.","ipdsId":"IP-167234","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":464120,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Bosnia and Herzegovina, Croatia, Hungary, Romania, Serbia, Slovakia, Slovenia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              13,\n              48.5\n            ],\n            [\n              13,\n              43.75\n            ],\n            [\n              27,\n              43.75\n            ],\n            [\n              27,\n              48.5\n            ],\n            [\n              13,\n              48.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  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Duje","contributorId":346275,"corporation":false,"usgs":false,"family":"Kukoc","given":"Duje","email":"","affiliations":[{"id":82807,"text":"Croatian Geological Survey","active":true,"usgs":false}],"preferred":false,"id":918559,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Schoene, Blair","contributorId":270797,"corporation":false,"usgs":false,"family":"Schoene","given":"Blair","affiliations":[{"id":6644,"text":"Princeton University","active":true,"usgs":false}],"preferred":false,"id":918637,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Lukacs, Reka","contributorId":346276,"corporation":false,"usgs":false,"family":"Lukacs","given":"Reka","email":"","affiliations":[{"id":82810,"text":"MTA-ELTE Volcanology Research Group, Budapest","active":true,"usgs":false}],"preferred":false,"id":918560,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70261136,"text":"70261136 - 2024 - Machine learning and new-generation spaceborne hyperspectral data advance crop type mapping","interactions":[],"lastModifiedDate":"2024-11-26T15:30:10.726606","indexId":"70261136","displayToPublicDate":"2024-11-01T08:31:26","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3052,"text":"Photogrammetric Engineering and Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Machine learning and new-generation spaceborne hyperspectral data advance crop type mapping","docAbstract":"<p><span>Hyperspectral sensors provide near-continuous spectral data that can facilitate advancements in agricultural crop classification and characterization, which are important for addressing global food and water security issues. We investigated two new-generation hyperspectral sensors, Germany’s Deutsches Zentrum für Luft‐ und Raumfahrt Earth Sensing Imaging Spectrometer (DESIS) and Italy’s PRecursore IperSpettrale della Missione Applicativa (PRISMA), within California's Central Valley in August 2021 focusing on five irrigated agricultural crops (alfalfa, almonds, corn, grapes, and pistachios). With reference data from the U.S. Department of Agriculture Cropland Data Layer, we developed a spectral library of the crops and classified them using three machine learning algorithms (support vector machines [SVM], random forest [RF], and spectral angle mapper [SAM]) and two philosophies: 1. Full spectral analysis (FSA) and 2. Optimal hyperspectral narrowband (OHNB) analysis. For FSA, we used 59 DESIS four-bin product bands and 207 of 238 PRISMA bands. For OHNB analysis, 9 DESIS and 16 PRISMA nonredundant OHNBs for studying crops were selected. FSA achieved only 1% to 3% higher accuracies relative to OHNB analysis in most cases. SVM provided the best results, closely followed by RF. Using both DESIS and PRISMA image OHNBs in SVM for classification led to higher accuracy than using either image alone, with an overall accuracy of 99%, producer’s accuracies of 94% to 100%, and user's accuracies of 95% to 100%.</span></p>","language":"English","publisher":"Ingenta","doi":"10.14358/PERS.24-00026R2","usgsCitation":"Aneece, I.P., Thenkabail, P., McCormick, R.L., Haireti, A., Foley, D., Oliphant, A., and Teluguntla, P., 2024, Machine learning and new-generation spaceborne hyperspectral data advance crop type mapping: Photogrammetric Engineering and Remote Sensing, v. 90, no. 11, p. 687-698, https://doi.org/10.14358/PERS.24-00026R2.","productDescription":"12 p.","startPage":"687","endPage":"698","ipdsId":"IP-163096","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":498261,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.14358/pers.24-00026r2","text":"Publisher Index Page"},{"id":464465,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120.00224368510789,\n              37.29219185284313\n            ],\n            [\n              -120.00224368510789,\n              36.59828829039613\n            ],\n            [\n              -118.67344220549262,\n              36.59828829039613\n            ],\n            [\n              -118.67344220549262,\n              37.29219185284313\n            ],\n            [\n              -120.00224368510789,\n              37.29219185284313\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"90","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Aneece, Itiya P. 0000-0002-1201-5459","orcid":"https://orcid.org/0000-0002-1201-5459","contributorId":208265,"corporation":false,"usgs":true,"family":"Aneece","given":"Itiya","middleInitial":"P.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":919395,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thenkabail, Prasad 0000-0002-2182-8822","orcid":"https://orcid.org/0000-0002-2182-8822","contributorId":220239,"corporation":false,"usgs":true,"family":"Thenkabail","given":"Prasad","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":919396,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCormick, Richard L. 0009-0002-8208-2136","orcid":"https://orcid.org/0009-0002-8208-2136","contributorId":346504,"corporation":false,"usgs":true,"family":"McCormick","given":"Richard","email":"","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":919400,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haireti, Alifu","contributorId":346506,"corporation":false,"usgs":false,"family":"Haireti","given":"Alifu","email":"","affiliations":[],"preferred":false,"id":919401,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Foley, Daniel 0000-0002-2051-6325","orcid":"https://orcid.org/0000-0002-2051-6325","contributorId":208266,"corporation":false,"usgs":true,"family":"Foley","given":"Daniel","email":"","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":919399,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Oliphant, Adam 0000-0001-8622-7932 aoliphant@usgs.gov","orcid":"https://orcid.org/0000-0001-8622-7932","contributorId":192325,"corporation":false,"usgs":true,"family":"Oliphant","given":"Adam","email":"aoliphant@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":919398,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Teluguntla, Pardhasaradhi 0000-0001-8060-9841","orcid":"https://orcid.org/0000-0001-8060-9841","contributorId":211780,"corporation":false,"usgs":true,"family":"Teluguntla","given":"Pardhasaradhi","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":919397,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70261260,"text":"70261260 - 2024 - Apatite and monazite geochemistry record magmatic and metasomatic processes in rare earth element mineralization at Mountain Pass, California","interactions":[],"lastModifiedDate":"2024-12-04T15:32:09.263599","indexId":"70261260","displayToPublicDate":"2024-11-01T08:24:22","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Apatite and monazite geochemistry record magmatic and metasomatic processes in rare earth element mineralization at Mountain Pass, California","docAbstract":"The largest rare earth element (REE) deposit in the United States is a carbonatite intrusion at Mountain Pass in the Mojave Desert, California. Despite a clear spatiotemporal association of alkaline silicate and carbonatite intrusions at Mountain Pass, a genetic model of their mutual formation has not been resolved. The Mountain Pass carbonatite has long been upheld as an example of a primary magmatic body, but recent work has suggested it could be fluid-derived. This study investigates the geochemistry of apatite and monazite grains from the alkaline silicate and carbonatite stocks and dikes of the Mountain Pass district, to elucidate the magmatic history of the intrusive suite and identify the role of fluids in rare earth element mineralization. Three apatite populations are identified in the alkaline silicate rocks. A primary magmatic apatite group supports intrusion of the stocks as separate pulses of magma derived from a spatially extensive metasomatized mantle source region. The second group implicates the role of a regional fluid that mobilized light rare earth elements from apatite grains. A minor group of inherited apatite cores, identified by low Sr and negative Eu anomalies, supports assimilation of crustal material in the formation of the intrusive suite. Analyses of monazite and apatite grains from the carbonatite orebody also reveal a mix of primary magmatic and metasomatic (fluid-related) minerals. Compositional similarities between primary phosphates in the carbonatite and alkaline silicate rocks support a genetic link between the intrusive suites. The presence of fluids regionally and within the carbonatite orebody indicates the Mountain Pass carbonatite should not be classified as a purely magmatic REE deposit.","language":"English","publisher":"GeoScienceWorld","doi":"10.5382/econgeo.5108","usgsCitation":"Benson, E.K., and Watts, K., 2024, Apatite and monazite geochemistry record magmatic and metasomatic processes in rare earth element mineralization at Mountain Pass, California: Economic Geology, v. 119, no. 7, p. 1611-1642, https://doi.org/10.5382/econgeo.5108.","productDescription":"32 p.","startPage":"1611","endPage":"1642","ipdsId":"IP-159227","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":466789,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5382/econgeo.5108","text":"Publisher Index Page"},{"id":464750,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Nevada","otherGeospatial":"Mojave Desert, Mountain Pass","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114.06188935809527,\n              36.65925978640696\n            ],\n            [\n              -115.95168822883412,\n              36.65925978640696\n            ],\n            [\n              -115.95168822883412,\n              34.494804652285\n            ],\n            [\n              -114.06188935809527,\n              34.494804652285\n            ],\n            [\n              -114.06188935809527,\n              36.65925978640696\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"119","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Benson, Erin Kay 0000-0003-3166-6043","orcid":"https://orcid.org/0000-0003-3166-6043","contributorId":346098,"corporation":false,"usgs":true,"family":"Benson","given":"Erin","email":"","middleInitial":"Kay","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":920137,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watts, Kathryn E. 0000-0002-6110-7499","orcid":"https://orcid.org/0000-0002-6110-7499","contributorId":204344,"corporation":false,"usgs":true,"family":"Watts","given":"Kathryn E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":920138,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70261416,"text":"70261416 - 2024 - Long-term communication of aftershock forecasts: The Canterbury earthquake sequence in New Zealand","interactions":[],"lastModifiedDate":"2024-12-09T15:09:14.311686","indexId":"70261416","displayToPublicDate":"2024-11-01T08:02:51","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2036,"text":"International Journal of Disaster Risk Reduction","active":true,"publicationSubtype":{"id":10}},"title":"Long-term communication of aftershock forecasts: The Canterbury earthquake sequence in New Zealand","docAbstract":"<p>On 14 February 2016, a magnitude (M)5.7 earthquake struck in Christchurch New Zealand (Aotearoa in the Maori language). The shaking caused damage to historic facades, power outages, cliff collapses, rock falls, and liquefaction but no reported injuries or fatalities. This Valentine’s Day earthquake was an aftershock in the Canterbury earthquake sequence (CES), which began on 4 September 2010 with the M7.1 Darfield Earthquake and included the destructive and fatal M6.2 Christchurch aftershock on 22 February 2011. This study, eight months after the Valentine’s Day earthquake and six years after the initiation of the CES, is the first to explore long-term aftershock forecast information and communication needs. The exploratory study also aimed to gather feedback on aftershock scenarios, an alternative form for communicating the forecast.</p><p>The qualitative study involved workshops with emergency managers, public health officials, and members of the public in Christchurch. Key findings for long-term communication throughout an earthquake sequence include: 1. divergent earthquake experiences affect aftershock communication response and information needs; 2. understanding aftershock sequence behavior is foundational to sense-making when large aftershocks occur; 3. strategic earthquake sequence updates from the trusted science agency and local agencies could serve as important reminders for earthquake preparedness; 4. communication of aftershock forecast uncertainty could aid with both the credibility of the information and living with uncertainty, and 5. inclusion of impact information and preparedness advice into aftershock forecast scenarios could provide links to actionable information. The paper derives implications for research and practice of long-term communications during an aftershock sequence.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijdrr.2024.104878","usgsCitation":"Wein, A., McBride, S., Becker, J., Christophersen, A., Hudson Doyle, E., Gerstenberger, M., and Potter, S., 2024, Long-term communication of aftershock forecasts: The Canterbury earthquake sequence in New Zealand: International Journal of Disaster Risk Reduction, v. 114, 104878, 23 p., https://doi.org/10.1016/j.ijdrr.2024.104878.","productDescription":"104878, 23 p.","ipdsId":"IP-164388","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":466790,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijdrr.2024.104878","text":"Publisher Index Page"},{"id":464918,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"New Zealand","city":"Christchurch","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              172.16906048121103,\n              -43.39513530218538\n            ],\n            [\n              172.16906048121103,\n              -43.911124672963645\n            ],\n            [\n              173.1531190191008,\n              -43.911124672963645\n            ],\n            [\n              173.1531190191008,\n              -43.39513530218538\n            ],\n            [\n              172.16906048121103,\n              -43.39513530218538\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"114","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wein, Anne 0000-0002-5516-3697 awein@usgs.gov","orcid":"https://orcid.org/0000-0002-5516-3697","contributorId":589,"corporation":false,"usgs":true,"family":"Wein","given":"Anne","email":"awein@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":920536,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McBride, Sara K. 0000-0002-8062-6542","orcid":"https://orcid.org/0000-0002-8062-6542","contributorId":206933,"corporation":false,"usgs":true,"family":"McBride","given":"Sara K.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":920537,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Becker, Julia S.","contributorId":217541,"corporation":false,"usgs":false,"family":"Becker","given":"Julia S.","affiliations":[{"id":36277,"text":"GNS Science","active":true,"usgs":false}],"preferred":false,"id":920538,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Christophersen, Annemarie","contributorId":175090,"corporation":false,"usgs":false,"family":"Christophersen","given":"Annemarie","email":"","affiliations":[],"preferred":false,"id":920539,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hudson Doyle, Emma","contributorId":347020,"corporation":false,"usgs":false,"family":"Hudson Doyle","given":"Emma","email":"","affiliations":[{"id":83040,"text":"Massey  University, Aotearoa New Zealand","active":true,"usgs":false}],"preferred":false,"id":920540,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gerstenberger, Matthew","contributorId":217542,"corporation":false,"usgs":false,"family":"Gerstenberger","given":"Matthew","email":"","affiliations":[{"id":36277,"text":"GNS Science","active":true,"usgs":false}],"preferred":false,"id":920541,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Potter, Sally H.","contributorId":217521,"corporation":false,"usgs":false,"family":"Potter","given":"Sally H.","affiliations":[{"id":36277,"text":"GNS Science","active":true,"usgs":false}],"preferred":false,"id":920542,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
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