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Using a selection of native grass and forb seeds commonly seeded in local restoration projects, we conducted a field experiment to evaluate the effects of seed species, distance of seed patches from nests, and distance between patches on patterns of seed removal by Owyhee harvester ants, Pogonomyrmex salinus (Olsen) (Hymenoptera: Formicidae). To provide context for ants’ seed preferences, we evaluated differences in handling time among seed species. In addition, we assessed the influences of cheatgrass, Bromus tectorum (L.) (Poales: Poaceae), and Sandberg bluegrass, Poa secunda (J. Presl) (Poales: Poaceae), cover on seed removal. We found significant differences in removal rates among seed species. In general, seeds placed closer to nests were more vulnerable to predation than those placed farther away, and seeds in closely spaced patches were more vulnerable than seeds in widely spaced patches. However, the strength of these effects differed by seed species. Differences in handling time among seed species may help to explain these findings; the protective effect of from-nest distance was weaker for species that required less time to transport. For 2 of the seed species, there was an interaction between the distance of seed patches from nests and the distance between patches such that the protective effect of distance between patches decreased as the distance from nests increased. Cheatgrass and bluegrass cover both had small protective effects on seeds. Taken together, these results offer insight into the spatial ecology of harvester ant foraging and may provide context for the successful implementation of restoration efforts where harvester ants are present. 

","language":"English","publisher":"Oxford Academic","doi":"10.1093/ee/nvae069","usgsCitation":"Grossklaus, M.R., Pilliod, D., Caughlin, T.T., and Robertson, I.C., 2024, Spatial patterns of seed removal by harvester ants in a seed tray experiment: Environmental Entomology, nvae069, https://doi.org/10.1093/ee/nvae069.","productDescription":"nvae069","ipdsId":"IP-164771","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":502630,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":432478,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2024-08-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Grossklaus, Michaela Ray 0009-0002-0890-6520","orcid":"https://orcid.org/0009-0002-0890-6520","contributorId":342051,"corporation":false,"usgs":true,"family":"Grossklaus","given":"Michaela","email":"","middleInitial":"Ray","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":909560,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pilliod, David S. 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":229349,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":909561,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caughlin, T. Trevor","contributorId":218133,"corporation":false,"usgs":false,"family":"Caughlin","given":"T.","email":"","middleInitial":"Trevor","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":909562,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robertson, Ian C.","contributorId":342053,"corporation":false,"usgs":false,"family":"Robertson","given":"Ian","email":"","middleInitial":"C.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":909563,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70266288,"text":"70266288 - 2024 - A protocol for assessing bias and robustness of social network metrics using GPS based radio-telemetry data","interactions":[],"lastModifiedDate":"2026-02-10T17:59:55.306147","indexId":"70266288","displayToPublicDate":"2024-08-06T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"title":"A protocol for assessing bias and robustness of social network metrics using GPS based radio-telemetry data","docAbstract":"

Background

Social network analysis of animal societies allows scientists to test hypotheses about social evolution, behaviour, and dynamic processes. However, the accuracy of estimated metrics depends on data characteristics like sample proportion, sample size, and frequency. A protocol is urgently needed to assess for bias and robustness of social network metrics estimated for the animal populations especially when a limited number of individuals are monitored.

Methods

We used GPS telemetry datasets of five ungulate species to combine known social network approaches with novel ones into a comprehensive five-step protocol. To quantify the bias and uncertainty in the network metrics obtained from a partial population, we presented novel statistical methods which are particularly suited for autocorrelated data, such as telemetry relocations. The protocol was validated using a sixth species, the fallow deer, with a known population size where ⇠ 85% of the individuals have been directly monitored.

Results

Through the protocol, we demonstrated how pre-network data permu tations allow researchers to assess non-random aspects of interactions within a population. The protocol assesses bias in global network metrics, obtains confidence intervals, and quantifies uncertainty of global and node-level network metrics based on the number of nodes in the network. We found that global network metrics like density remained robust even with a lowered sample size, while local network metrics like eigenvector centrality were unreliable for four of the species. The fallow deer network showed low uncertainty and bias even at lower sampling proportions, indicating the importance of a thoroughly sampled population while demonstrating the accuracy of our evaluation methods for smaller samples.

Conclusions

The protocol allows researchers to analyse GPS-based radio telemetry or other data to determine the reliability of social network metrics. The estimates enable the statistical comparison of networks under di↵erent conditions, such as analysing daily and seasonal changes in the density of a network. The methods can also guide methodological decisions in animal social network research, such as sampling design and allow more accurate ecological inferences from the available data. The R package aniSNA enables researchers to implement this workflow on their dataset, generating reliable inferences and guiding methodological decisions

","language":"English","publisher":"Springer Nature","doi":"10.1186/s40462-024-00494-6","usgsCitation":"Kaur, P., Ciuti, S., Ossi, F., Cagnacci, F., Morellet, N., Loison, A., Atmeh, K., McLoughlin, P., Reinking, A., Beck, J.L., Ortega, A.C., Kauffman, M., Boyce, M.S., Haigh, A., David, A., Griffin, L., Conteddu, K., Faull, J., and Salter-Townshend, M., 2024, A protocol for assessing bias and robustness of social network metrics using GPS based radio-telemetry data, v. 12, 55, 36 p., https://doi.org/10.1186/s40462-024-00494-6.","productDescription":"55, 36 p.","ipdsId":"IP-167767","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":485356,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":487941,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-024-00494-6","text":"Publisher Index Page"}],"volume":"12","noUsgsAuthors":false,"publicationDate":"2024-08-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Kaur, Prabhleen","contributorId":354311,"corporation":false,"usgs":false,"family":"Kaur","given":"Prabhleen","affiliations":[{"id":18091,"text":"University College Dublin","active":true,"usgs":false}],"preferred":false,"id":935387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ciuti, Simone","contributorId":348021,"corporation":false,"usgs":false,"family":"Ciuti","given":"Simone","affiliations":[{"id":18091,"text":"University College Dublin","active":true,"usgs":false}],"preferred":false,"id":935388,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ossi, Federico","contributorId":342386,"corporation":false,"usgs":false,"family":"Ossi","given":"Federico","email":"","affiliations":[{"id":81867,"text":"Research and Innovation Centre, Fondazione Edmund Mach","active":true,"usgs":false}],"preferred":false,"id":935389,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cagnacci, Francesca","contributorId":342410,"corporation":false,"usgs":false,"family":"Cagnacci","given":"Francesca","affiliations":[{"id":81867,"text":"Research and Innovation Centre, Fondazione Edmund Mach","active":true,"usgs":false}],"preferred":false,"id":935390,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morellet, Nicolas","contributorId":342402,"corporation":false,"usgs":false,"family":"Morellet","given":"Nicolas","affiliations":[{"id":41661,"text":"Université de Toulouse","active":true,"usgs":false}],"preferred":false,"id":935391,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Loison, Anne","contributorId":284699,"corporation":false,"usgs":false,"family":"Loison","given":"Anne","email":"","affiliations":[],"preferred":false,"id":935392,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Atmeh, Kamal","contributorId":348008,"corporation":false,"usgs":false,"family":"Atmeh","given":"Kamal","affiliations":[{"id":83278,"text":"Laboratoire Biometrie; Universit´e de Savoie Mont-Blanc","active":true,"usgs":false}],"preferred":false,"id":935393,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McLoughlin, Philip","contributorId":348034,"corporation":false,"usgs":false,"family":"McLoughlin","given":"Philip","affiliations":[{"id":13248,"text":"University of Saskatchewan","active":true,"usgs":false}],"preferred":false,"id":935394,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Reinking, Adele K.","contributorId":348037,"corporation":false,"usgs":false,"family":"Reinking","given":"Adele K.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":935395,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Beck, Jeffrey L.","contributorId":287806,"corporation":false,"usgs":false,"family":"Beck","given":"Jeffrey","middleInitial":"L.","affiliations":[{"id":12729,"text":"UW","active":true,"usgs":false}],"preferred":false,"id":935396,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ortega, Anna C.","contributorId":280169,"corporation":false,"usgs":false,"family":"Ortega","given":"Anna","email":"","middleInitial":"C.","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":935397,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":202921,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":935398,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Boyce, Mark S.","contributorId":113205,"corporation":false,"usgs":false,"family":"Boyce","given":"Mark","email":"","middleInitial":"S.","affiliations":[{"id":12980,"text":"Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada","active":true,"usgs":false}],"preferred":false,"id":935399,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Haigh, Amy","contributorId":354314,"corporation":false,"usgs":false,"family":"Haigh","given":"Amy","affiliations":[{"id":18091,"text":"University College Dublin","active":true,"usgs":false}],"preferred":false,"id":935400,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"David, Anna","contributorId":354317,"corporation":false,"usgs":false,"family":"David","given":"Anna","affiliations":[{"id":18091,"text":"University College Dublin","active":true,"usgs":false}],"preferred":false,"id":935401,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Griffin, Laura L.","contributorId":354320,"corporation":false,"usgs":false,"family":"Griffin","given":"Laura L.","affiliations":[{"id":18091,"text":"University College Dublin","active":true,"usgs":false}],"preferred":false,"id":935402,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Conteddu, Kimberly","contributorId":354323,"corporation":false,"usgs":false,"family":"Conteddu","given":"Kimberly","affiliations":[{"id":18091,"text":"University College Dublin","active":true,"usgs":false}],"preferred":false,"id":935403,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Faull, Jane","contributorId":354326,"corporation":false,"usgs":false,"family":"Faull","given":"Jane","affiliations":[{"id":18091,"text":"University College Dublin","active":true,"usgs":false}],"preferred":false,"id":935404,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Salter-Townshend, Michael","contributorId":354329,"corporation":false,"usgs":false,"family":"Salter-Townshend","given":"Michael","affiliations":[{"id":18091,"text":"University College Dublin","active":true,"usgs":false}],"preferred":false,"id":935405,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70256979,"text":"fs20243022 - 2024 - Projected sea-level rise and high tide flooding at Big Cypress National Preserve, Florida","interactions":[],"lastModifiedDate":"2026-01-27T18:01:19.988278","indexId":"fs20243022","displayToPublicDate":"2024-08-05T13:26:49","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-3022","displayTitle":"Projected Sea-Level Rise and High Tide Flooding at Big Cypress National Preserve, Florida","title":"Projected sea-level rise and high tide flooding at Big Cypress National Preserve, Florida","docAbstract":"

Introduction

National parks and preserves in the South Atlantic-Gulf Region contain valuable coastal habitats such as tidal wetlands and mangrove forests, as well as irreplaceable historic buildings and archeological sites located in low-lying areas. These natural and cultural resources are vulnerable to accelerated sea-level rise and escalating high tide flooding events. Through a Natural Resources Preservation Program-funded project during 2021–23, the U.S. Geological Survey, in collaboration with the National Park Service, estimated the probability of inundation at Big Cypress National Preserve, Florida, and several other parks under various sea-level rise scenarios and contemporary high tide flooding thresholds. The maps produced for this effort can be used to assess potential habitat change and explore how infrastructure and cultural resources within the park may be exposed to future flooding-related hazards.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20243022","issn":"2327-6932","collaboration":"Prepared in collaboration with the National Park Service","usgsCitation":"Thurman, H.R., Enwright, N.M., Osland, M.J., Passeri, D.L., Day, R.H., Simons, B.M., Danielson, J.J., and Cushing, W.M., 2024, Projected sea-level rise and high tide flooding at Big Cypress National Preserve, Florida: U.S. Geological Survey Fact Sheet 2024–3022, 6 p., https://doi.org/10.3133/fs20243022.","productDescription":"Report: 6 p.; Data Release","numberOfPages":"6","onlineOnly":"Y","ipdsId":"IP-156829","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":499121,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117163.htm","linkFileType":{"id":5,"text":"html"}},{"id":432199,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2024/3022/coverthb.jpg"},{"id":462367,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/fs20243023","text":"USGS Fact Sheet 2024-3023","linkHelpText":"- Projected Sea-Level Rise and High Tide Flooding at Dry Tortugas National Park, Florida"},{"id":462366,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/fs20243021","text":"USGS Fact Sheet 2024-3021","linkHelpText":"- Projected Sea-Level Rise and High Tide Flooding at San Juan National Historic Site, Puerto Rico"},{"id":462365,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/fs20243016","text":"USGS Fact Sheet 2024-3016","linkHelpText":"- Projected Sea-Level Rise and High Tide Flooding at De Soto National Memorial, Florida"},{"id":462364,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/fs20243008","text":"USGS Fact Sheet 2024-3008","linkHelpText":"- Projected Sea-Level Rise and High Tide Flooding at Timucuan Ecological and Historic Preserve, Florida"},{"id":432201,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JH8KQN","text":"USGS Data Release","linkHelpText":"Sea-level rise and high tide flooding inundation probability and depth statistics at Big Cypress National Preserve, Florida"},{"id":432200,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2024/3022/fs20243022.pdf","size":"5.94 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Fact Sheet 2024-3022"},{"id":462368,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/fs20243024","text":"USGS Fact Sheet 2024-3024","linkHelpText":"- Projected Sea-Level Rise and High Tide Flooding at Biscayne National Park, Florida"}],"country":"United States","state":"Florida","otherGeospatial":"Big Cypress National Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -81.46349653045958,\n 26.067266018456394\n ],\n [\n -81.46349653045958,\n 25.57788455042902\n ],\n [\n -80.80175594994878,\n 25.57788455042902\n ],\n [\n -80.80175594994878,\n 26.067266018456394\n ],\n [\n -81.46349653045958,\n 26.067266018456394\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, Wetland and Aquatic Research Center
U.S. Geological Survey
700 Cajundome Blvd.
Lafayette, LA 70506–3152

Contact Us- USGS Publications Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2024-08-05","noUsgsAuthors":false,"publicationDate":"2024-08-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Thurman, Hana R. 0000-0001-7097-5362","orcid":"https://orcid.org/0000-0001-7097-5362","contributorId":337110,"corporation":false,"usgs":false,"family":"Thurman","given":"Hana","email":"","middleInitial":"R.","affiliations":[],"preferred":true,"id":909056,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Enwright, Nicholas M. 0000-0002-7887-3261","orcid":"https://orcid.org/0000-0002-7887-3261","contributorId":202150,"corporation":false,"usgs":true,"family":"Enwright","given":"Nicholas M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":909057,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Osland, Michael J. 0000-0001-9902-8692 mosland@usgs.gov","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":3080,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","email":"mosland@usgs.gov","middleInitial":"J.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":909058,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Passeri, Davina L. 0000-0002-9760-3195","orcid":"https://orcid.org/0000-0002-9760-3195","contributorId":337109,"corporation":false,"usgs":true,"family":"Passeri","given":"Davina L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":909059,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Day, Richard H. 0000-0002-5959-7054 dayr@usgs.gov","orcid":"https://orcid.org/0000-0002-5959-7054","contributorId":2427,"corporation":false,"usgs":true,"family":"Day","given":"Richard","email":"dayr@usgs.gov","middleInitial":"H.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":909060,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Simons, Bethanie M. 0009-0002-1214-3239","orcid":"https://orcid.org/0009-0002-1214-3239","contributorId":337106,"corporation":false,"usgs":false,"family":"Simons","given":"Bethanie","email":"","middleInitial":"M.","affiliations":[],"preferred":true,"id":909061,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Danielson, Jeffrey J. 0000-0003-0907-034X daniels@usgs.gov","orcid":"https://orcid.org/0000-0003-0907-034X","contributorId":3996,"corporation":false,"usgs":true,"family":"Danielson","given":"Jeffrey","email":"daniels@usgs.gov","middleInitial":"J.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":909062,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cushing, William M. 0000-0001-5209-6006","orcid":"https://orcid.org/0000-0001-5209-6006","contributorId":341859,"corporation":false,"usgs":true,"family":"Cushing","given":"William","email":"","middleInitial":"M.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":909065,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70256922,"text":"fs20243032 - 2024 - Triangle Area Water Supply Monitoring Project, North Carolina","interactions":[],"lastModifiedDate":"2026-01-27T18:08:47.28631","indexId":"fs20243032","displayToPublicDate":"2024-08-05T10:20:29","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-3032","displayTitle":"Triangle Area Water Supply Monitoring Project, North Carolina","title":"Triangle Area Water Supply Monitoring Project, North Carolina","docAbstract":"

Introduction

Rivers and surface-water reservoirs supply drinking water to most residents throughout the Triangle area in North Carolina. These drinking-water supplies may be at risk because of rapid and continued land use change throughout the region. In partnership with the U.S. Geological Survey, several Triangle-area municipalities established a long-term water-quality and streamflow monitoring program to quantify changes in water quality and water availability over time and to evaluate the relative risk of potential contaminants in these drinking-water sources.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20243032","issn":"2327-6916, 2327-6932","collaboration":"Prepared in cooperation with the Town of Apex, Town of Cary, Chatham County, City of Durham, Town of Hillsborough, Town of Morrisville, Orange County, Orange Water and Sewer Authority, and Central Pines Regional Council","usgsCitation":"Fanelli, R., Hardesty, D., and Diaz, J., 2024, Triangle Area Water Supply Monitoring Project, North Carolina: U.S. Geological Survey Fact Sheet 2024-3032, 4 p., https://doi.org/10.3133/fs20243032.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","ipdsId":"IP-149662","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":499127,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117162.htm","linkFileType":{"id":5,"text":"html"}},{"id":432175,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2024/3032/fs20243032.pdf","size":"3.03 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2024-3032"},{"id":432174,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2024/3032/coverthb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Triangle area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -79.25,\n 36.25\n ],\n [\n -79.25,\n 35.666\n ],\n [\n -78.55,\n 35.666\n ],\n [\n -78.55,\n 36.25\n ],\n [\n -79.25,\n 36.25\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, South Atlantic Water Science Center
1770 Corporate Drive, Suite 500
Norcross, GA 30093

Contact Us- USGS Publications Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2024-08-05","noUsgsAuthors":false,"publicationDate":"2024-08-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Fanelli, Rosemary M. 0000-0002-0874-1925","orcid":"https://orcid.org/0000-0002-0874-1925","contributorId":341844,"corporation":false,"usgs":true,"family":"Fanelli","given":"Rosemary","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909008,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hardesty, Deanna 0000-0002-4924-2233","orcid":"https://orcid.org/0000-0002-4924-2233","contributorId":341845,"corporation":false,"usgs":true,"family":"Hardesty","given":"Deanna","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909009,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Diaz, J. 0000-0002-0563-8586","orcid":"https://orcid.org/0000-0002-0563-8586","contributorId":341846,"corporation":false,"usgs":true,"family":"Diaz","given":"J.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909010,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70257040,"text":"70257040 - 2024 - Assessing potential effects of oil and gas development activities on groundwater quality near and overlying the Elk Hills and North Coles Levee Oil Fields, San Joaquin Valley, California","interactions":[],"lastModifiedDate":"2024-08-07T14:27:20.895942","indexId":"70257040","displayToPublicDate":"2024-08-05T09:04:52","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":11111,"text":"PLOS Water","active":true,"publicationSubtype":{"id":10}},"title":"Assessing potential effects of oil and gas development activities on groundwater quality near and overlying the Elk Hills and North Coles Levee Oil Fields, San Joaquin Valley, California","docAbstract":"

Groundwater resources are utilized near areas of intensive oil and gas development in California’s San Joaquin Valley. In this study, we examined chemical and isotopic data to assess if thermogenic gas or saline water from oil producing formations have mixed with groundwater near the Elk Hills and North Coles Levee Oil Fields in the southwestern San Joaquin Valley. Major ion concentrations and stable isotope compositions were largely consistent with natural processes, including mixing of different recharge sources and water-rock interactions. Trace methane concentrations likely resulted from microbial rather than thermogenic sources. Trace concentrations of benzene and other dissolved hydrocarbons in three wells had uncertain sources that could occur naturally or be derived from oil and gas development activities or other anthropogenic sources. In the mid-1990s, two industrial supply wells had increasing Cl and B concentrations likely explained by mixing with up to 15 percent saline oil-field water injected for disposal in nearby injection disposal wells. Shallow groundwater along the western margin of Buena Vista Lake Bed had elevated Cl, B, and SO4 concentrations that could be explained by accumulation of salts during natural wetting and drying cycles or, alternatively, legacy surface disposal of saline oil-field water in upgradient ephemeral drainages. This study showed that groundwater had relatively little evidence of thermogenic gas or saline water from oil and gas sources in most parts of the study area. However, the evidence for groundwater mixing with injected disposal water, and possibly legacy surface disposal water, demonstrates produced water management practices as a potential risk factor for groundwater-quality degradation near oil and gas fields. Additional studies in the San Joaquin Valley and elsewhere could improve understanding of such risks by assessing the locations, volumes, and types of produced water disposal practices used during the life of oil fields.

","language":"English","publisher":"PLoS","doi":"10.1371/journal.pwat.0000258","usgsCitation":"Warden, J.G., Landon, M.K., Stephens, M.J., Davis, T., Gillespie, J.M., McMahon, P.B., Kulongoski, J.T., Hunt, A., Shimabukuro, D.H., Gannon, R., and Ball, L.B., 2024, Assessing potential effects of oil and gas development activities on groundwater quality near and overlying the Elk Hills and North Coles Levee Oil Fields, San Joaquin Valley, California: PLOS Water, v. 3, no. 8, e0000258, 37 p., https://doi.org/10.1371/journal.pwat.0000258.","productDescription":"e0000258, 37 p.","ipdsId":"IP-153863","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":439229,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pwat.0000258","text":"Publisher Index Page"},{"id":432337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Elk Hills and North Coles Levee Oil Fields, San Joaquin Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.10617619335798,\n 35.413607176236184\n ],\n [\n -120.10617619335798,\n 34.779786117322814\n ],\n [\n -119.0959554577856,\n 34.779786117322814\n ],\n [\n -119.0959554577856,\n 35.413607176236184\n ],\n [\n -120.10617619335798,\n 35.413607176236184\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"3","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-08-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Warden, John G. 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0000-0003-1667-3472","orcid":"https://orcid.org/0000-0003-1667-3472","contributorId":219675,"corporation":false,"usgs":true,"family":"Gillespie","given":"Janice","email":"","middleInitial":"M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909254,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909255,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kulongoski, Justin T. 0000-0002-3498-4154 kulongos@usgs.gov","orcid":"https://orcid.org/0000-0002-3498-4154","contributorId":173457,"corporation":false,"usgs":true,"family":"Kulongoski","given":"Justin","email":"kulongos@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909256,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hunt, Andrew G. 0000-0002-3810-8610","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":206197,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew G.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":909257,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shimabukuro, David H. 0000-0002-6106-5284","orcid":"https://orcid.org/0000-0002-6106-5284","contributorId":208209,"corporation":false,"usgs":false,"family":"Shimabukuro","given":"David","email":"","middleInitial":"H.","affiliations":[{"id":37762,"text":"California State University, Sacramento","active":true,"usgs":false}],"preferred":false,"id":909258,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gannon, Riley 0000-0002-1239-1083","orcid":"https://orcid.org/0000-0002-1239-1083","contributorId":205967,"corporation":false,"usgs":true,"family":"Gannon","given":"Riley","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909259,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":909260,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70256992,"text":"70256992 - 2024 - Quantifying the coastal hazard risk reduction benefits of coral reef restoration in the U.S. Virgin Islands","interactions":[],"lastModifiedDate":"2024-08-06T14:06:28.452215","indexId":"70256992","displayToPublicDate":"2024-08-05T08:52:43","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Quantifying the coastal hazard risk reduction benefits of coral reef restoration in the U.S. Virgin Islands","docAbstract":"

Coastal habitat restoration, especially of coral reef ecosystems, can significantly reduce the exposure of coastal communities to natural hazards and, consequently, the risk of wave-driven flooding. Likewise, reef degradation can increase coastal flood risks to people and property. In this study, the valuation of coral reefs in the United States Virgin Islands (USVI), along the coasts of St. Croix, St. John, and St. Thomas, demonstrated the social and economic benefits provided by these natural defenses. Across the territory, more than 481 people and $31.2 million of infrastructure were estimated to receive protection from coral reefs per year (2010 U.S. dollars). In 2017, Hurricanes Irma and Maria significantly damaged coral reefs throughout the archipelago. By combining engineering, ecological, geospatial, social, and economic data and tools, this study provided a rigorous valuation of where potential coral reef restoration projects could help rebuild these damaged habitats and decrease the risks from coastal hazards faced by USVI’s reef-fronted communities. Multiple restoration scenarios were considered in the analysis, two of which are detailed in this report. These include (1) ‘Ecological’ restoration, where restoration creates a structure that is 0.25 m high and 25-m-wide reef, and (2) ‘Hybrid’ restoration, where restoration creates a structure that is 1.25 m high and 5 m wide. There are many ways that such structures could be developed. In the hydrodynamic analyses, there are no assumptions about how the restoration is developed. Many practitioners of both coral (and oyster reef) restoration consider that a reef height of 0.25 m might be delivered from planting corals alone and that 1.25 m might require a combination of artificial structures and coral planting. In a third scenario, the analysis investigated the reduction of protection benefits that would occur through the reduction of 1 meter of naturally occurring reef height due to reef degradation. The reduction of protection due to the loss of reefs can also be interpreted as the protection value of the existing reefs.


In all studied restoration scenarios, it was assumed that the planting of corals would enhance hydrodynamic roughness, effectively dissipating incident wave energy and reducing the potential for coastal flooding. A standardized approach was employed to strategically locate potential restoration projects along the entire linear extent of existing reefs bordering the USVI, and to identify where coral reef restoration could offer valuable benefits in flood reduction. Potential restoration projects were only located within the existing distribution of reefs across the region, even though numerous sites were positioned far offshore (2-3 km), and some were at relatively deep depths (up to 7 m). Risk-based valuation approaches were followed to delineate flood zones at a 10 m2 resolution along the entire region's reef-lined shorelines for all the potential coral reef restoration scenarios. These were subsequently compared to flood zones without coral reef restoration.


The potential reduction in coastal flood risk provided by coral reef restoration, and the protection value of existing reefs, were quantified utilizing the latest information available at the time of analysis from the U.S. Census Bureau, Federal Emergency Management Agency (FEMA), and Bureau of Economic Analysis for return-interval storm events. The change in Expected Annual Damages (EAD), a metric indicating the annual protection gained due to coral reef restoration, was calculated based on the damages associated with each storm probability. The findings suggest that the benefits of reef restoration are spatially variable within the USVI. In some areas, the analysis showed limited benefits from reef restoration, which may be attributed to the depth or offshore distances of proposed restoration sites. However, there were a number of key areas where reef restoration could have substantial benefits for flood risk reduction.


The annual flood risk reduction attributed to potential ‘ecological’ coral reef restoration in the USVI was 99 people and $6.1 million (2010 U.S. dollars). The Benefit-to-Cost Ratio (BCR) for this restoration approach was found to be larger than 1 (i.e., cost-effective) along 11% of the St. Croix coastline, 4.9% of the St. John coastline, and 8.7% of the St. Thomas coastline. This analysis offers stakeholders and decision-makers a spatially explicit and rigorous evaluation that illustrates how, where, and when potential coral reef restoration efforts in St. Croix, St. John, and St. Thomas could be instrumental to reducing coastal storm-induced flooding. Understanding areas where reef management, recovery, and restoration could effectively reduce climate hazard-related risks is crucial to protect and enhance the resilience of coastal communities in USVI.

","language":"English","publisher":"UC Santa Cruz: Institute of Marine Sciences","doi":"10.48330/E2KW29","usgsCitation":"Gaido-Lasserre, C., Pietsch McNulty, V., Storlazzi, C.D., Reguero, B., Perez, D., Fogg, S., Cumming, K., Ward, J., Schill, S., Jarvis, C., and Beck, M.W., 2024, Quantifying the coastal hazard risk reduction benefits of coral reef restoration in the U.S. Virgin Islands, 52 p., https://doi.org/10.48330/E2KW29.","productDescription":"52 p.","ipdsId":"IP-166374","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":432280,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"U.S. Virgin Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -64.89853627285596,\n 17.78032509548528\n ],\n [\n -64.91534633574153,\n 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\"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gaido-Lasserre, Camila","contributorId":341891,"corporation":false,"usgs":false,"family":"Gaido-Lasserre","given":"Camila","email":"","affiliations":[{"id":17620,"text":"UCSC","active":true,"usgs":false}],"preferred":false,"id":909092,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pietsch McNulty, Valerie","contributorId":341893,"corporation":false,"usgs":false,"family":"Pietsch McNulty","given":"Valerie","email":"","affiliations":[{"id":33811,"text":"TNC","active":true,"usgs":false}],"preferred":false,"id":909093,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":909094,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reguero, Borja","contributorId":264485,"corporation":false,"usgs":false,"family":"Reguero","given":"Borja","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":909095,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Perez, Denise","contributorId":341897,"corporation":false,"usgs":false,"family":"Perez","given":"Denise","email":"","affiliations":[{"id":33811,"text":"TNC","active":true,"usgs":false}],"preferred":false,"id":909096,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fogg, Sandra","contributorId":341899,"corporation":false,"usgs":false,"family":"Fogg","given":"Sandra","email":"","affiliations":[{"id":33811,"text":"TNC","active":true,"usgs":false}],"preferred":false,"id":909097,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cumming, Kristen A. 0000-0003-3647-2678","orcid":"https://orcid.org/0000-0003-3647-2678","contributorId":257561,"corporation":false,"usgs":true,"family":"Cumming","given":"Kristen A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":909098,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ward, Jessica","contributorId":174856,"corporation":false,"usgs":false,"family":"Ward","given":"Jessica","affiliations":[],"preferred":false,"id":909099,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schill, Steve","contributorId":26184,"corporation":false,"usgs":true,"family":"Schill","given":"Steve","email":"","affiliations":[],"preferred":false,"id":909100,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jarvis, Celeste","contributorId":341906,"corporation":false,"usgs":false,"family":"Jarvis","given":"Celeste","email":"","affiliations":[{"id":33811,"text":"TNC","active":true,"usgs":false}],"preferred":false,"id":909101,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Beck, Michael W.","contributorId":259298,"corporation":false,"usgs":false,"family":"Beck","given":"Michael","email":"","middleInitial":"W.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":true,"id":909102,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70257033,"text":"70257033 - 2024 - Seasonal drought treatments impact plant and microbial uptake of nitrogen in a mixed shrub grassland on the Colorado Plateau","interactions":[],"lastModifiedDate":"2024-09-11T16:23:02.998792","indexId":"70257033","displayToPublicDate":"2024-08-05T06:55:37","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal drought treatments impact plant and microbial uptake of nitrogen in a mixed shrub grassland on the Colorado Plateau","docAbstract":"

For many drylands, both long- and short-term drought conditions can accentuate landscape heterogeneity at both temporal (e.g., role of seasonal patterns) and spatial (e.g., patchy plant cover) scales. Furthermore, short-term drought conditions occurring over one season can exacerbate long-term, multidecadal droughts or aridification, by limiting soil water recharge, decreasing plant growth, and altering biogeochemical cycles. Here, we examine how experimentally altered seasonal precipitation regimes in a mixed shrub grassland on the Colorado Plateau impact soil moisture, vegetation, and carbon and nitrogen cycling. The experiment was conducted from 2015 to 2019, during a regional multidecadal drought event, and consisted of three precipitation treatments, which were implemented with removable drought shelters intercepting ~66% of incoming precipitation including: control (ambient precipitation conditions, no shelter), warm season drought (sheltered April–October), and cool season drought (sheltered November–March). To track changes in vegetation, we measured biomass of the dominant shrub, Ephedra viridis, and estimated perennial plant and ground cover in the spring and the fall. Soil moisture dynamics suggested that warm season experimental drought had longer and more consistent drought legacy effects (occurring two out of the four drought cycles) than either cool season drought or ambient conditions, even during the driest years. We also found that E. viridis biomass remained consistent across treatments, while bunchgrass cover declined by 25% by 2019 across all treatments, with the earliest declines noticeable in the warm season drought plots. Extractable dissolved inorganic nitrogen and microbial biomass nitrogen concentrations appeared sensitive to seasonal drought conditions, with dissolved inorganic nitrogen increasing and microbial biomass nitrogen decreasing with reduced soil volumetric water content. Carbon stocks were not sensitive to drought but were greater under E. viridis patches. Additionally, we found that under E. viridis, there was a negative relationship between dissolved inorganic nitrogen and microbial biomass nitrogen, suggesting that drought-induced increases in dissolved inorganic nitrogen may be due to declines in nitrogen uptake from microbes and plants alike. This work suggests that perennial grass plant–soil feedbacks are more vulnerable to both short-term (seasonal) and long-term (multiyear) drought events than shrubs, which can impact the future trajectory of dryland mixed shrub grassland ecosystems as drought frequency and intensity will likely continue to increase with ongoing climate change.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.4393","usgsCitation":"Finger-Higgens, R.A., Hoover, D.L., Knight, A.C., Wilson, S., Bishop, T.B., Reibold, R.H., Reed, S., and Duniway, M.C., 2024, Seasonal drought treatments impact plant and microbial uptake of nitrogen in a mixed shrub grassland on the Colorado Plateau: Ecology, v. 105, no. 9, e4393, 17 p., https://doi.org/10.1002/ecy.4393.","productDescription":"e4393, 17 p.","ipdsId":"IP-158238","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":439231,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1002/ecy.4393","text":"Publisher Index Page"},{"id":432331,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"105","issue":"9","noUsgsAuthors":false,"publicationDate":"2024-08-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Finger-Higgens, Rebecca A 0000-0002-7645-504X","orcid":"https://orcid.org/0000-0002-7645-504X","contributorId":290211,"corporation":false,"usgs":true,"family":"Finger-Higgens","given":"Rebecca","email":"","middleInitial":"A","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":909206,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoover, David L. dlhoover@usgs.gov","contributorId":245331,"corporation":false,"usgs":false,"family":"Hoover","given":"David","email":"dlhoover@usgs.gov","middleInitial":"L.","affiliations":[{"id":49151,"text":"USDA-ARS Rangeland Resources Research Unit, Crops Research Laboratory, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":909207,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Knight, Anna C. 0000-0002-9455-2855","orcid":"https://orcid.org/0000-0002-9455-2855","contributorId":255113,"corporation":false,"usgs":true,"family":"Knight","given":"Anna","email":"","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":909208,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, Savannah 0000-0003-4229-4089","orcid":"https://orcid.org/0000-0003-4229-4089","contributorId":341940,"corporation":false,"usgs":false,"family":"Wilson","given":"Savannah","affiliations":[{"id":81811,"text":"formerly: USGS Southwest Biological Science Center; current:Center for Ecosystem Science and Society, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":909209,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bishop, Tara Boyce Belnap 0000-0001-7828-1541","orcid":"https://orcid.org/0000-0001-7828-1541","contributorId":302273,"corporation":false,"usgs":true,"family":"Bishop","given":"Tara","email":"","middleInitial":"Boyce Belnap","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":909210,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reibold, Robin H. 0000-0002-3323-487X","orcid":"https://orcid.org/0000-0002-3323-487X","contributorId":207499,"corporation":false,"usgs":true,"family":"Reibold","given":"Robin","email":"","middleInitial":"H.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":909211,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":207498,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":909212,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":909213,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70267863,"text":"70267863 - 2024 - Risk of capture is modified by hypoxia and interjurisdictional migration of Lake Whitefish (Coregonus clupeaformis)","interactions":[],"lastModifiedDate":"2025-06-05T14:53:00.097594","indexId":"70267863","displayToPublicDate":"2024-08-05T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Risk of capture is modified by hypoxia and interjurisdictional migration of Lake Whitefish (Coregonus clupeaformis)","docAbstract":"Interjurisdictional migrations lead to seasonally changing patterns of exploitation risk, emphasizing the importance of spatially explicit approaches to fishery management. Understanding how risk changes along a migration route supports time-area based fishery management, but quantifying risk can be complicated when multiple fishing methods are geographically segregated and when bycatch species are considered. Further, habitat selection in dynamic environments can influence migration behavior, interacting with other management objectives such as water quality and habitat restoration. As a case study, we examined a novel acoustic telemetry data set for Lake Whitefish in Lake Erie, where they migrate through multiple spatial management units that are variably affected by seasonal hypoxia and host a variety of fisheries. Combining telemetry results with fishery catch and water quality monitoring, we demonstrate three exploitation risk scenarios: i) high risk due to high residency and high catch, ii) high risk due to high residency in time-areas with moderate catch, and iii) low risk due to residency in time-areas with low catch. Interestingly, occupation of low risk refugia was increased by the development of hypoxia in adjacent areas. Consequently, fishery management goals to sustainably manage other target species may be directly and indirectly linked to water quality management goals through Lake Whitefish.","language":"English","publisher":"Springer Nature","doi":"10.1038/s41598-024-65147-5","usgsCitation":"Kraus, R., Cook, H., Sakis, A., MacDougall, T., Faust, M., Schmitt, J., and Vandergoot, C., 2024, Risk of capture is modified by hypoxia and interjurisdictional migration of Lake Whitefish (Coregonus clupeaformis): Scientific Reports, v. 14, no. 1, 180061, 13 p., https://doi.org/10.1038/s41598-024-65147-5.","productDescription":"180061, 13 p.","ipdsId":"IP-161549","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":490619,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-024-65147-5","text":"Publisher Index Page"},{"id":489682,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United Sates","otherGeospatial":"Lake Erie","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -83.3340237734879,\n 42.2003107892165\n ],\n [\n -83.76123811265276,\n 41.36759241460828\n ],\n [\n -81.80316880718208,\n 41.3146825621337\n ],\n [\n -78.64522615109004,\n 42.56891605267103\n ],\n [\n -78.69689358833503,\n 42.91401349265345\n ],\n [\n -79.6373646641363,\n 43.07393720267635\n ],\n [\n -81.57717526647028,\n 42.625802175312444\n ],\n [\n -83.3340237734879,\n 42.2003107892165\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-08-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Kraus, Richard 0000-0003-4494-1841","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":216548,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":939160,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cook, H. Andrew","contributorId":181530,"corporation":false,"usgs":false,"family":"Cook","given":"H. Andrew","affiliations":[{"id":16762,"text":"Ontario Ministry of Natural Resources and Forestry","active":true,"usgs":false}],"preferred":false,"id":939161,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sakis, Alexis","contributorId":356356,"corporation":false,"usgs":false,"family":"Sakis","given":"Alexis","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":939162,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"MacDougall, Thomas","contributorId":354792,"corporation":false,"usgs":false,"family":"MacDougall","given":"Thomas","affiliations":[{"id":84663,"text":"Ontario Ministry of Nat. Res. and Forestry","active":true,"usgs":false}],"preferred":false,"id":939163,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Faust, Matthew","contributorId":268770,"corporation":false,"usgs":false,"family":"Faust","given":"Matthew","affiliations":[{"id":16232,"text":"Ohio Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":939164,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schmitt, Joseph 0000-0002-8354-4067","orcid":"https://orcid.org/0000-0002-8354-4067","contributorId":221020,"corporation":false,"usgs":true,"family":"Schmitt","given":"Joseph","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":939165,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vandergoot, Christopher","contributorId":340837,"corporation":false,"usgs":false,"family":"Vandergoot","given":"Christopher","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":939166,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70258147,"text":"70258147 - 2024 - A robust quantitative method to distinguish runoff-generated debris flows from floods","interactions":[],"lastModifiedDate":"2024-09-05T14:28:51.565094","indexId":"70258147","displayToPublicDate":"2024-08-04T09:26:54","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"A robust quantitative method to distinguish runoff-generated debris flows from floods","docAbstract":"

Debris flows and floods generated by rainfall runoff occur in rocky mountainous landscapes and burned steeplands. Flow type is commonly identified post-event through interpretation of depositional structures, but these may be poorly preserved or misinterpreted. Prior research indicates that discharge magnitude is commonly amplified in debris flows relative to floods due to volumetric bulking and increased frictional resistance. Here, we use this flow amplification to develop a metric (Q*) to separate debris flows from floods based on the ratio of observed peak discharge to the theoretical maximum water discharge from rainfall runoff. We compile 642 observations of floods and debris flows and demonstrate that Q* distinguishes flow type to ∼92% accuracy. Q* allows for accurate identification of debris flows through simple channel cross-section surveys rather than through qualitative interpretation of deposits, and therefore should increase the performance of models and engineered structures that require accurate flow-type observations.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024GL109768","usgsCitation":"Cavagnaro, D.B., McCoy, S., Kean, J.W., Thomas, M.A., Lindsay, D.N., McArdell, B.W., and Hirschberg, J., 2024, A robust quantitative method to distinguish runoff-generated debris flows from floods: Geophysical Research Letters, v. 51, no. 15, e2024GL109768, 11 p., https://doi.org/10.1029/2024GL109768.","productDescription":"e2024GL109768, 11 p.","ipdsId":"IP-159087","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":439232,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024gl109768","text":"Publisher Index Page"},{"id":433497,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"15","noUsgsAuthors":false,"publicationDate":"2024-08-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Cavagnaro, David B.","contributorId":267181,"corporation":false,"usgs":false,"family":"Cavagnaro","given":"David","email":"","middleInitial":"B.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":912366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCoy, Scott W.","contributorId":267182,"corporation":false,"usgs":false,"family":"McCoy","given":"Scott W.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":912367,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":912368,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thomas, Matthew A. 0000-0002-9828-5539 matthewthomas@usgs.gov","orcid":"https://orcid.org/0000-0002-9828-5539","contributorId":200616,"corporation":false,"usgs":true,"family":"Thomas","given":"Matthew","email":"matthewthomas@usgs.gov","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":912369,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lindsay, Donald N.","contributorId":216337,"corporation":false,"usgs":false,"family":"Lindsay","given":"Donald","email":"","middleInitial":"N.","affiliations":[{"id":12640,"text":"California Geological Survey","active":true,"usgs":false}],"preferred":false,"id":912370,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McArdell, Brian W.","contributorId":269977,"corporation":false,"usgs":false,"family":"McArdell","given":"Brian","email":"","middleInitial":"W.","affiliations":[{"id":40850,"text":"Swiss Federal Institute for Forest, Snow and Landscape Research","active":true,"usgs":false}],"preferred":false,"id":912371,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hirschberg, Jacob","contributorId":301934,"corporation":false,"usgs":false,"family":"Hirschberg","given":"Jacob","affiliations":[{"id":65368,"text":"Swiss Federal Institute for Forest, Snow and Landscape Research, Birmensdorf, Switzerland; Institute of Environmental Engineering, ETH Zurich, Zurich, Switzerland","active":true,"usgs":false}],"preferred":false,"id":912372,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70256997,"text":"70256997 - 2024 - The geochronology of White Sands Locality 2 is resolved","interactions":[],"lastModifiedDate":"2024-09-12T13:17:50.636213","indexId":"70256997","displayToPublicDate":"2024-08-04T08:31:43","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5732,"text":"PaleoAmerica","active":true,"publicationSubtype":{"id":10}},"title":"The geochronology of White Sands Locality 2 is resolved","docAbstract":"Rhode et al. (2024) allege that there are many “unresolved issues” with the geochronology of White Sands National Park (WHSA) Locality 2. They suggest there are substantial age offsets due to hard-water effects in the aquatic plants that were dated and that radiocarbon ages of pollen may be anomalously old due to reworking. In their view, the luminescence ages are likely to be maximum ages because of the probable presence of partially bleached quartz grains, overestimation of water content, and stratigraphic position of the samples. They also assert the ages of the footprint trackways are not as internally consistent as suggested and can be interpreted in various ways. We review each of these issues and show they are without merit, often irrelevant, at odds with first principles, and stem from a lack of firsthand understanding of the studies we conducted at WHSA Locality 2.","language":"English","publisher":"Taylor & Francis","doi":"10.1080/20555563.2024.2376298","usgsCitation":"Pigati, J.S., Springer, K.B., Gray, H., Bennett, M.R., and Bustos, D., 2024, The geochronology of White Sands Locality 2 is resolved: PaleoAmerica, v. 10, no. 1, p. 28-44, https://doi.org/10.1080/20555563.2024.2376298.","productDescription":"17 p.","startPage":"28","endPage":"44","ipdsId":"IP-166672","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":432272,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"White Sands National Park Locality 2","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -106.1550582066009,\n 32.872849990711984\n ],\n [\n -106.48245412248755,\n 32.86930180329608\n ],\n [\n -106.47897029431002,\n 32.69297332923759\n ],\n [\n -106.43042966433936,\n 32.65346535926231\n ],\n [\n -106.37842168773055,\n 32.65559686141792\n ],\n [\n -106.24026970932155,\n 32.68647249739145\n ],\n [\n -106.17377551355794,\n 32.76467012980471\n ],\n [\n -106.13625775965107,\n 32.76682115134125\n ],\n [\n -106.13541548471069,\n 32.789043826774915\n ],\n [\n -106.16611008296357,\n 32.7883270898179\n ],\n [\n -106.16697948523209,\n 32.82630293543325\n ],\n [\n -106.1516350497139,\n 32.829884382487975\n ],\n [\n -106.1550582066009,\n 32.872849990711984\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"10","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-08-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Pigati, Jeffrey S. 0000-0001-5843-6219 jpigati@usgs.gov","orcid":"https://orcid.org/0000-0001-5843-6219","contributorId":201167,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffrey","email":"jpigati@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":909103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Springer, Kathleen B. 0000-0002-2404-0264 kspringer@usgs.gov","orcid":"https://orcid.org/0000-0002-2404-0264","contributorId":149826,"corporation":false,"usgs":true,"family":"Springer","given":"Kathleen","email":"kspringer@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":909104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gray, Harrison J. 0000-0002-4555-7473","orcid":"https://orcid.org/0000-0002-4555-7473","contributorId":207019,"corporation":false,"usgs":true,"family":"Gray","given":"Harrison J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":909105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bennett, Matthew R.","contributorId":265968,"corporation":false,"usgs":false,"family":"Bennett","given":"Matthew","email":"","middleInitial":"R.","affiliations":[{"id":54847,"text":"Bournemouth University, U.K.","active":true,"usgs":false}],"preferred":false,"id":909106,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bustos, David","contributorId":265969,"corporation":false,"usgs":false,"family":"Bustos","given":"David","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":909107,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70264829,"text":"70264829 - 2024 - Observations of flocs in an estuary and implications for computation of settling velocity","interactions":[],"lastModifiedDate":"2025-03-26T15:29:46.647918","indexId":"70264829","displayToPublicDate":"2024-08-04T08:01:17","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2321,"text":"Journal of Geophysical Research: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Observations of flocs in an estuary and implications for computation of settling velocity","docAbstract":"

The settling velocity (ws) in estuarine environments can impact whether a region is eroding or accreting sediment on the bed, yet determining this rate can be an indirect process requiring a number of assumptions. Accurate determination of ws is especially needed for numerical models to reproduce observed sediment concentrations at the appropriate timescale. We collected information on suspended sediment flocculation at a channel site (13 m deep) and a shallows site (4 m deep) within South San Francisco Estuary, alongside timeseries of flow, wave statistics, turbulent shear, and bottle samples analyzed for both ws and particle size. Using the measurements of floc size and settling velocity, we performed a sensitivity analysis on the unknown parameters in the general explicit formula for settling velocity. The collected particle size distribution data show that multiple classes of flocs are present; these are characterized as flocculi, microflocs, and macroflocs. We show that ws of flocculi is closest to ws for the full distribution. The determined parameter values lead to near-bed mass-weighted settling velocities (standard deviation) of 1.18 (0.55) and 0.22 (0.15) mm/s at the channel and shallows sites, respectively. Modeling efforts can use this work to help select an appropriate sediment model and parameter values.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022JC019402","usgsCitation":"Allen, R., Livsey, D., and McGill, S., 2024, Observations of flocs in an estuary and implications for computation of settling velocity: Journal of Geophysical Research: Oceans, v. 129, no. 8, e2022JC019402, 21 p., https://doi.org/10.1029/2022JC019402.","productDescription":"e2022JC019402, 21 p.","ipdsId":"IP-143577","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488664,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022jc019402","text":"Publisher Index Page"},{"id":483876,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"South San Francisco Estuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.73260724811783,\n 38.375373912625804\n ],\n [\n -123.73260724811783,\n 37.14063832700886\n ],\n [\n -121.47531521074498,\n 37.14063832700886\n ],\n [\n -121.47531521074498,\n 38.375373912625804\n ],\n [\n -123.73260724811783,\n 38.375373912625804\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"129","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-08-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Allen, Rachel 0000-0002-0287-6466","orcid":"https://orcid.org/0000-0002-0287-6466","contributorId":216002,"corporation":false,"usgs":true,"family":"Allen","given":"Rachel","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":932004,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Livsey, Daniel","contributorId":352687,"corporation":false,"usgs":false,"family":"Livsey","given":"Daniel","affiliations":[{"id":37600,"text":"Queensland University of Technology","active":true,"usgs":false}],"preferred":false,"id":932005,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGill, Samantha C. 0000-0001-9320-8764","orcid":"https://orcid.org/0000-0001-9320-8764","contributorId":304095,"corporation":false,"usgs":true,"family":"McGill","given":"Samantha C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":932006,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70257734,"text":"70257734 - 2024 - Toxicity of a management bait for grass carp (Ctenopharyngodon idella) incorporated with Antimycin A","interactions":[],"lastModifiedDate":"2024-10-23T16:05:34.326487","indexId":"70257734","displayToPublicDate":"2024-08-03T06:43:41","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Toxicity of a management bait for grass carp (Ctenopharyngodon idella) incorporated with Antimycin A","docAbstract":"

No current technology can specifically target grass carp (Ctenopharyngodon idella) for control within aquatic ecosystems. Rotenone and Carbon Dioxide-Carp are currently the only available registered pesticides for grass carp; they are nonselective and typically applied throughout the water, equally exposing target and native species. A more selective control tool or pesticide application could be used by resource managers to support mitigation efforts. Development of delivery systems that exploit carp feeding strategies could increase selectivity of pesticides and minimize effects on native fishes. A pesticide with selective delivery could be less labor intensive and used within an integrative pest management strategy. The present study examined Antimycin A toxicity in juvenile and sub-adult grass carp and rainbow trout (Oncorhynchus mykiss) across two routes of exposure. Water-based toxicity studies were used to calculate the concentration to cause lethality in 50% of treated fish (LC50) at 24-h, while oral gavage toxicity studies were used to calculate the dose to cause lethality in 50% of treated grass carp and rainbow trout (LD50) 24- to 96-h. Although rainbow trout were more sensitive than grass carp to Antimycin A through water-based exposure, oral toxicity was similar between species, even with inherent gastrointestinal morphological differences. Successful delivery of a lethal dose of Antimycin A to grass carp was achieved through an oral route of exposure using the rapeseed bait and shows promise for registration as a control tool and eventual use in pest management plans. Although a lethal dose of Antimycin A could be incorporated into a single bait pellet, more bait was required to achieve desired mortality when fed to fish under laboratory conditions.

","language":"English","publisher":"Springer","doi":"10.1007/s10646-024-02771-x","usgsCitation":"Wamboldt, J.J., Steiner, J.N., Sauey, B.W., Lada, B., Putnam, J.G., Korducki, B.M., and Saari, G.N., 2024, Toxicity of a management bait for grass carp (Ctenopharyngodon idella) incorporated with Antimycin A: Ecotoxicology, v. 33, p. 984-995, https://doi.org/10.1007/s10646-024-02771-x.","productDescription":"12 p.","startPage":"984","endPage":"995","ipdsId":"IP-157421","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":433150,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","noUsgsAuthors":false,"publicationDate":"2024-08-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Wamboldt, James J. 0000-0003-3043-5198","orcid":"https://orcid.org/0000-0003-3043-5198","contributorId":219060,"corporation":false,"usgs":true,"family":"Wamboldt","given":"James","email":"","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":911550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Steiner, J. Nolan 0000-0003-2809-9009 jsteiner@usgs.gov","orcid":"https://orcid.org/0000-0003-2809-9009","contributorId":220768,"corporation":false,"usgs":true,"family":"Steiner","given":"J.","email":"jsteiner@usgs.gov","middleInitial":"Nolan","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":911551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sauey, Blake W. 0000-0003-2819-0814 bsauey@usgs.gov","orcid":"https://orcid.org/0000-0003-2819-0814","contributorId":202175,"corporation":false,"usgs":true,"family":"Sauey","given":"Blake","email":"bsauey@usgs.gov","middleInitial":"W.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":911552,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lada, Bryan 0009-0000-2657-9127 blada@usgs.gov","orcid":"https://orcid.org/0009-0000-2657-9127","contributorId":343624,"corporation":false,"usgs":true,"family":"Lada","given":"Bryan","email":"blada@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":911553,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Putnam, Joel G. 0000-0002-5464-4587","orcid":"https://orcid.org/0000-0002-5464-4587","contributorId":343625,"corporation":false,"usgs":false,"family":"Putnam","given":"Joel","email":"","middleInitial":"G.","affiliations":[{"id":82134,"text":"Former Upper Midwest Environmental Sciences Center employee; Current location: Conagen, Inc., Bedford, MA","active":true,"usgs":false}],"preferred":false,"id":911554,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Korducki, Brianne Marjorie 0009-0005-9046-2229","orcid":"https://orcid.org/0009-0005-9046-2229","contributorId":343626,"corporation":false,"usgs":true,"family":"Korducki","given":"Brianne","email":"","middleInitial":"Marjorie","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":911555,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Saari, Gavin N. 0000-0002-3593-5127 gsaari@usgs.gov","orcid":"https://orcid.org/0000-0002-3593-5127","contributorId":289203,"corporation":false,"usgs":true,"family":"Saari","given":"Gavin","email":"gsaari@usgs.gov","middleInitial":"N.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":911556,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70256696,"text":"sir20245055 - 2024 - Low-flow statistics for selected streams in New York, excluding Long Island","interactions":[],"lastModifiedDate":"2026-02-03T19:42:11.527606","indexId":"sir20245055","displayToPublicDate":"2024-08-02T15:12:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5055","displayTitle":"Low-Flow Statistics for Selected Streams in New York, Excluding Long Island","title":"Low-flow statistics for selected streams in New York, excluding Long Island","docAbstract":"

The U.S. Geological Survey, in cooperation with the New York State Department of Environmental Conservation, updated low-streamflow statistics for New York, excluding Long Island and including hydrologically connected watersheds in bordering States, for the first time since 1972. Historical daily streamflow data for active and inactive gages were considered for this study with periods of record as recent as March 31, 2022, adding 50 years of data to the last published low-streamflow statistics report for New York and including 119 new gages where low-streamflow statistics are calculated for the first time. Gages were evaluated across several criteria to identify gages that were not suitable for low-streamflow frequency analysis. In addition, gages were evaluated for the presence of alteration within the streamflow period of record based on previous studies and U.S. Geological Survey National Water Information System site metadata including peak flow codes.

A trend analysis was performed using the Wilcoxon rank-sum hypothesis test comparing data from the most recent 30 years of record to data from 30 years and earlier for each long-record gage (30 years or more of available data). Results from the trend analysis indicated that 45 unaltered and 32 altered long-record sites had a statistically significant trend for the annual minimum n-day time series; most gages showed increasing trends in the annual minimum n-day time series. Low-streamflow statistics were calculated using the most recent 30 years of record for gages with a statistically significant trend. Before and after 1972, the lowest annual 7-day and 30-day average streamflow that occurs (on average) once every 10 years (7Q10 and 30Q10 statistics respectively) increased significantly at 41 unaltered gages and decreased significantly at 3 unaltered gages where data were available.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245055","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Stagnitta, T.J., Graziano, A.P., Woda, J.C., Glas, R.L., and Gazoorian, C.L., 2024, Low-flow statistics for selected streams in New York, excluding Long Island: U.S. Geological Survey Scientific Investigations Report 2024–5055, 39 p., https://doi.org/10.3133/sir20245055.","productDescription":"Report: vi, 39 p.; Data Release","numberOfPages":"39","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-157678","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":432052,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5055/images/"},{"id":499477,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117164.htm","linkFileType":{"id":5,"text":"html"}},{"id":432053,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NOM6FR","text":"USGS data release","linkHelpText":"Low-flow statistics for New York State, excluding Long Island, computed through March 2022"},{"id":432048,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5055/coverthb.jpg"},{"id":432049,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5055/sir20245055.pdf","text":"Report","size":"2.39 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5055 PDF"},{"id":432051,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5055/sir20245055.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2024-5055 XML"},{"id":432050,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245055/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5055 HTML"}],"country":"United States","state":"New York","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.91286009788664,\n 41.01178774841347\n ],\n [\n -74.0266841070774,\n 40.720375728237144\n ],\n [\n -73.9615635090029,\n 40.70803672971712\n ],\n [\n -73.67394830242374,\n 40.966707520822155\n ],\n [\n -73.67401345493704,\n 41.01587061494237\n ],\n [\n -73.7610093516628,\n 41.09363100726691\n ],\n [\n -73.47905430116539,\n 41.21618146660194\n ],\n [\n -73.54958995108733,\n 41.28551897494029\n ],\n [\n -73.48572425776553,\n 42.050669593361164\n ],\n [\n -73.52340772727291,\n 42.08675087137979\n ],\n [\n -73.27944022486994,\n 42.71925225128092\n ],\n [\n -73.2459886442373,\n 43.56229834373957\n ],\n [\n -73.31078219020274,\n 43.62532933066436\n ],\n [\n -73.37060286487959,\n 43.61346437461091\n ],\n [\n -73.43066543683648,\n 43.58573443689042\n ],\n [\n -73.35806708414735,\n 43.79014308086275\n ],\n [\n -73.40009937812863,\n 44.00975633545363\n ],\n [\n -73.41060974678811,\n 44.08529772972881\n ],\n [\n -73.35805219069586,\n 44.318863718851276\n ],\n [\n -73.33701549362132,\n 44.52903276098101\n ],\n [\n -73.36854225932441,\n 44.626354722690195\n ],\n [\n -73.3054828249653,\n 44.73844638732069\n ],\n [\n -73.37904970354246,\n 44.83541786386914\n ],\n [\n -73.34751720937287,\n 45.0140137308498\n ],\n [\n -74.34598531174339,\n 44.99914556300604\n ],\n [\n -74.8399460822856,\n 45.02144131236122\n ],\n [\n -75.34442725785361,\n 44.80559688881786\n ],\n [\n -75.71227781323351,\n 44.58894197821161\n ],\n [\n -75.93298792150392,\n 44.363963821867316\n ],\n [\n -76.22726798212784,\n 44.23609096764133\n ],\n [\n -76.4374686507537,\n 44.085295715094446\n ],\n [\n -76.80532026610759,\n 43.62298965505482\n ],\n [\n -78.73916539102125,\n 43.63059733126207\n ],\n [\n -79.1910965886907,\n 43.44011660394341\n ],\n [\n -79.02292338480896,\n 43.20308949268261\n ],\n [\n -79.06495062651008,\n 43.0880701724453\n ],\n [\n -78.88515521912908,\n 42.85650132783874\n ],\n [\n -79.77268100220316,\n 42.50253000668161\n ],\n [\n -79.7434614428243,\n 42.00043762996769\n ],\n [\n -75.398839703039,\n 41.97678364767139\n ],\n [\n -75.09566664827426,\n 41.829506046160375\n ],\n [\n -74.91860171317268,\n 41.43129306375607\n ],\n [\n -73.91286009788664,\n 41.01178774841347\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180–8349

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2024-08-02","noUsgsAuthors":false,"publicationDate":"2024-08-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Stagnitta, Timothy J. 0000-0001-8903-428X","orcid":"https://orcid.org/0000-0001-8903-428X","contributorId":304230,"corporation":false,"usgs":true,"family":"Stagnitta","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":true,"id":908680,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graziano, Alexander P. 0000-0003-1978-0986","orcid":"https://orcid.org/0000-0003-1978-0986","contributorId":211607,"corporation":false,"usgs":true,"family":"Graziano","given":"Alexander","email":"","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":908681,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woda, Joshua 0000-0002-2932-8013","orcid":"https://orcid.org/0000-0002-2932-8013","contributorId":290172,"corporation":false,"usgs":true,"family":"Woda","given":"Joshua","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":908682,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glas, Robin L. 0000-0002-7394-1667","orcid":"https://orcid.org/0000-0002-7394-1667","contributorId":300625,"corporation":false,"usgs":true,"family":"Glas","given":"Robin","email":"","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":908683,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gazoorian, Christopher L. 0000-0002-5408-6212 cgazoori@usgs.gov","orcid":"https://orcid.org/0000-0002-5408-6212","contributorId":2929,"corporation":false,"usgs":true,"family":"Gazoorian","given":"Christopher","email":"cgazoori@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":908684,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70262363,"text":"70262363 - 2024 - Clustering and unconstrained ordination with Dirichlet process mixture models","interactions":[],"lastModifiedDate":"2025-01-16T17:42:37.701078","indexId":"70262363","displayToPublicDate":"2024-08-02T11:33:50","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Clustering and unconstrained ordination with Dirichlet process mixture models","docAbstract":"
  1. Assessment of similarity in species composition or abundance across sampled locations is a common goal in multi-species monitoring programs. Existing ordination techniques provide a framework for clustering sample locations based on species composition by projecting high-dimensional community data into a low-dimensional, latent ecological gradient representing species composition. However, these techniques require specification of the number of distinct ecological communities present in the latent space, which can be difficult to determine in advance.
  2. We develop an ordination model capable of simultaneous clustering and ordination that allows for estimation of the number of clusters present in the latent ecological gradient. This model draws latent coordinates for each sample location from a Dirichlet process mixture model, affording researchers with probabilistic statements about the number of clusters present in the latent ecological gradient.
  3. The model is compared to existing methods for simultaneous clustering and ordination via simulation and applied to two empirical datasets; JAGS code to fit the proposed model is provided in an appendix. The first dataset concerns presence-absence records of fish in the Doubs river in eastern France and the second dataset describes presence-absence records of plant species in Craters of the Moon National Monument and Preserve (CRMO) in Idaho, USA. Results from both analyses align with existing ecological gradients at each location.
  4. Development of the Dirichlet process ordination model provides wildlife managers with data-driven inferences about the number of distinct communities present across monitored locations, allowing for more cost-effective monitoring and reliable decision-making for conservation management.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.14389","usgsCitation":"Stratton, C., Hoegh, A., Rodhouse, T., Green, J., Banner, K., and Irvine, K., 2024, Clustering and unconstrained ordination with Dirichlet process mixture models: Methods in Ecology and Evolution, v. 15, no. 9, p. 1720-1732, https://doi.org/10.1111/2041-210X.14389.","productDescription":"13 p.","startPage":"1720","endPage":"1732","ipdsId":"IP-149492","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":466971,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.14389","text":"Publisher Index Page"},{"id":466648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"9","noUsgsAuthors":false,"publicationDate":"2024-08-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Stratton, Christian","contributorId":265905,"corporation":false,"usgs":false,"family":"Stratton","given":"Christian","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":923932,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoegh, Andrew","contributorId":265906,"corporation":false,"usgs":false,"family":"Hoegh","given":"Andrew","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":923933,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodhouse, Thomas","contributorId":244880,"corporation":false,"usgs":false,"family":"Rodhouse","given":"Thomas","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":923934,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Green, Jennifer L.","contributorId":349024,"corporation":false,"usgs":false,"family":"Green","given":"Jennifer L.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":923935,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Banner, Katharine M.","contributorId":244876,"corporation":false,"usgs":false,"family":"Banner","given":"Katharine M.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":923936,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Irvine, Kathryn 0000-0002-6426-940X","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":221555,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":923937,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70264593,"text":"70264593 - 2024 - Current advances in coastal wetland elevation dynamics: Introduction to the special issue","interactions":[],"lastModifiedDate":"2025-03-17T14:59:47.80802","indexId":"70264593","displayToPublicDate":"2024-08-02T09:55:48","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Current advances in coastal wetland elevation dynamics: Introduction to the special issue","docAbstract":"

The thematic issue entitled, “Current Advances in Coastal Wetland Elevation Dynamics,” draws on topics from two special sessions at the CERF 2021 conference plus additional recent research describing scientific insights gained from the Surface Elevation Table–Marker Horizon (SET–MH) method and its application across the globe to quantify and understand subsurface process influences on wetland elevation change and wetland responses to sea-level rise. The findings group articles within each of five thematic topics. (1) A 30-year retrospective on the scientific insights gained on surface and shallow subsurface process dynamics. (2) Investigations of the subsurface soil process influences on wetland elevation. (3) How the scientific community applies the SET–MH method to quantify and understand wetland responses to RSLR and other environmental drivers such as altered hydrology and sediment supply. (4) How SET–MH data are used in long-term monitoring networks at different geographic scales. (5) Pairing the SET-MH method with (a) survey techniques to increase lateral coverage of wetland elevation trends and (b) geodetic measurements to increase vertical coverage of vertical land motion.

","language":"English","publisher":"Springer","doi":"10.1007/s12237-024-01411-1","usgsCitation":"Cahoon, D., and Guntenspergen, G.R., 2024, Current advances in coastal wetland elevation dynamics: Introduction to the special issue: Estuaries and Coasts, v. 47, p. 1703-1707, https://doi.org/10.1007/s12237-024-01411-1.","productDescription":"5 p.","startPage":"1703","endPage":"1707","ipdsId":"IP-167659","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":496383,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-024-01411-1","text":"Publisher Index Page"},{"id":483451,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","noUsgsAuthors":false,"publicationDate":"2024-08-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Cahoon, Donald R. 0000-0002-2591-5667","orcid":"https://orcid.org/0000-0002-2591-5667","contributorId":219657,"corporation":false,"usgs":true,"family":"Cahoon","given":"Donald","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":930909,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":930910,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70262796,"text":"70262796 - 2024 - Wide-ranging migration of post-nesting hawksbill sea turtles (Eretmochelys imbricata) from the Caribbean island of Nevis","interactions":[],"lastModifiedDate":"2025-01-23T15:23:20.197825","indexId":"70262796","displayToPublicDate":"2024-08-02T09:18:13","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2660,"text":"Marine Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Wide-ranging migration of post-nesting hawksbill sea turtles (Eretmochelys imbricata) from the Caribbean island of Nevis","title":"Wide-ranging migration of post-nesting hawksbill sea turtles (Eretmochelys imbricata) from the Caribbean island of Nevis","docAbstract":"

Little is known about the post-nesting migration and foraging areas of hawksbill turtles (Eretmochelys imbricata) nesting on St. Kitts and Nevis, an important nesting site for hawksbills in the eastern Caribbean. To elucidate internesting, migration and foraging patterns of hawksbills from Nevis, we satellite tagged 28 post-nesting turtles between 2006 and 2022. Internesting, migrating and foraging activity periods were determined using a switching state–space model to estimate the behavioral state of the turtle’s locations. Twenty-five turtles (83–2,171 tracking days) established a foraging area, migrating between 5.3 and 2,799.5 km from the nesting beach. Twenty-one turtles were tracked during internesting movements with internesting areas ranging between 1.9 and 28.2 km2. Nearly half of the internesting centroids were located closer to a different beach than the beach where the turtle was originally encountered nesting. Hawksbills crossed through 29 different Exclusive Economic Zones (EEZs), including zones with legal sea turtle fisheries or traditional subsistence use. Core foraging areas (KDE 50%) ranged between 3.8 and 69.0 km2. Nearly a third of foraging centroids were within a Marine Protected Area (MPA), while nearly a quarter were within a legal sea turtle fishery EEZ. Hawksbills nesting on Nevis disperse to local, regional, and Caribbean wide foraging grounds, emphasizing the necessity of cooperative efforts to protect turtles and their habitats to ensure support of the recovery of hawksbill turtles throughout the wider Caribbean.

","language":"English","publisher":"Springer","doi":"10.1007/s00227-024-04491-6","usgsCitation":"Evans, D.R., Pemberton, L., and Carthy, R., 2024, Wide-ranging migration of post-nesting hawksbill sea turtles (Eretmochelys imbricata) from the Caribbean island of Nevis: Marine Biology, v. 171, 171, 16 p., https://doi.org/10.1007/s00227-024-04491-6.","productDescription":"171, 16 p.","ipdsId":"IP-161346","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":489134,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00227-024-04491-6","text":"Publisher Index Page"},{"id":480988,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Saint Kitts and Nevis","otherGeospatial":"Caribbean, Nevis","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -89.72100737406826,\n 25.303247272191882\n ],\n [\n -89.72100737406826,\n 10.779361764328613\n ],\n [\n -57.461761139581384,\n 10.779361764328613\n ],\n [\n -57.461761139581384,\n 25.303247272191882\n ],\n [\n -89.72100737406826,\n 25.303247272191882\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"171","noUsgsAuthors":false,"publicationDate":"2024-08-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Evans, Daniel R.","contributorId":331390,"corporation":false,"usgs":false,"family":"Evans","given":"Daniel","email":"","middleInitial":"R.","affiliations":[{"id":79193,"text":"Sea Turtle Conservancy, Gainesville, FL","active":true,"usgs":false}],"preferred":false,"id":924801,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pemberton, Lemuel","contributorId":349785,"corporation":false,"usgs":false,"family":"Pemberton","given":"Lemuel","affiliations":[{"id":83514,"text":"Nevis Turtle Group","active":true,"usgs":false}],"preferred":false,"id":924802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carthy, Raymond 0000-0001-8978-5083","orcid":"https://orcid.org/0000-0001-8978-5083","contributorId":219303,"corporation":false,"usgs":true,"family":"Carthy","given":"Raymond","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":924803,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70264138,"text":"70264138 - 2024 - Evaluation of techniques for estimating the age and growth of known‐age White Sturgeon","interactions":[],"lastModifiedDate":"2025-03-07T15:24:54.336028","indexId":"70264138","displayToPublicDate":"2024-08-02T08:16:04","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of techniques for estimating the age and growth of known‐age White Sturgeon","docAbstract":"

Objective

Successful conservation and management of fishes require an understanding of their age and growth. However, methods for estimating the age and growth of long-lived fish species are difficult to validate. The Kootenai River basin has a decades-long mark–recapture program for endangered White Sturgeon Acipenser transmontanus. The mark–recapture history information for White Sturgeon allowed for the evaluation of fin rays for age and growth analysis.

Methods

Age was estimated from pectoral fin rays of known‐age White Sturgeon (n = 162) to evaluate ageing accuracy and precision. Lengths were back‐calculated using four models and measurements obtained from two fin ray transects (i.e., lateral and posterior).

Result

Between-reader agreement for White Sturgeon ages was 58.7%. Consensus age agreement with known ages was poor (30.7%) and decreased with age. Among the four back-calculation models, the Fraser–Lee model provided the lowest root mean square error and percent error. Estimates of mean back-calculated lengths at age derived from the Fraser–Lee model were similar between the two measurement transects. Back-calculated lengths at age were similar to known lengths at age.

Conclusion

Ageing of White Sturgeon using fin rays was unreliable, and accuracy decreased with fish age. Back-calculated lengths at age were accurate using measurements from fin rays of known-age fish. Length estimates from the two measurement transects were similar when using the Fraser–Lee method, suggesting that they may be used interchangeably.

","language":"English","publisher":"Wiley","doi":"10.1002/nafm.11021","usgsCitation":"Ghere, C., Hardy, R.S., Wilson, S., and Quist, M.C., 2024, Evaluation of techniques for estimating the age and growth of known‐age White Sturgeon: North American Journal of Fisheries Management, v. 44, no. 4, p. 880-889, https://doi.org/10.1002/nafm.11021.","productDescription":"10 p.","startPage":"880","endPage":"889","ipdsId":"IP-159650","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":498009,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.11021","text":"Publisher Index Page"},{"id":483052,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Idaho, Montana","otherGeospatial":"British Columbia, Kootenai River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.01115919803547,\n 49.581745610583226\n ],\n [\n -118.01115919803547,\n 48.153450574705346\n ],\n [\n -115.33492252918343,\n 48.153450574705346\n ],\n [\n -115.33492252918343,\n 49.581745610583226\n ],\n [\n -118.01115919803547,\n 49.581745610583226\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"44","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-07-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Ghere, Courtnie L.","contributorId":352032,"corporation":false,"usgs":false,"family":"Ghere","given":"Courtnie","middleInitial":"L.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":929930,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hardy, Ryan S.","contributorId":167032,"corporation":false,"usgs":false,"family":"Hardy","given":"Ryan","email":"","middleInitial":"S.","affiliations":[{"id":6764,"text":"Idaho Department of Fish and Game, Nampa, Idaho","active":true,"usgs":false}],"preferred":false,"id":929931,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Sean","contributorId":352033,"corporation":false,"usgs":false,"family":"Wilson","given":"Sean","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":929932,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Quist, Michael C. 0000-0001-8268-1839","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":207142,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":929933,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70257321,"text":"70257321 - 2024 - Environmental drivers and spatial patterns of antibiotic-resistant, enteric coliforms across a forest–urban riverscape","interactions":[],"lastModifiedDate":"2024-09-11T16:25:03.119913","indexId":"70257321","displayToPublicDate":"2024-08-02T07:19:11","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Environmental drivers and spatial patterns of antibiotic-resistant, enteric coliforms across a forest–urban riverscape","docAbstract":"

Antibiotic resistant bacteria are prevalent environmental contaminants in freshwaters, and antibiotic resistance genes circulate throughout the urban water cycle. The increase of antibiotic resistant pathogens threatens public health through direct and indirect exposure, and natural resource managers need information on the spatial patterns of antibiotic resistant bacteria and environmental factors associated with their distribution to improve water quality monitoring and to better assess human, animal, and environmental health risks. We collected water and epilithic biofilm samples and measured physicochemical environmental variables at 29 sites distributed longitudinally in the Green-Duwamish River basin, Washington, USA. We characterized catchment-wide patterns of gram-negative fecal indicator bacteria and hypothesized that the presence of antibiotic resistance would be associated with environmental heterogeneity, bacterial primary ecology, stream compartment, and stream type. Antibiotic resistance was determined by microbial growth on selective media supplemented with 3 different antibiotics (ampicillin, chloramphenicol, or tetracycline). Phenotypic antibiotic resistance was positively associated with disturbance, but resistance to at least 1 antibiotic was also detected in undeveloped river segments, with an 83% overall detection rate (i.e., 24 out of 29 sites, 17 in the mainstem and 7 in tributaries). The most probable number of Escherichia coli was associated with higher levels of antibiotic resistance of non-E. coli coliforms across the basin (ρ = 0.38, p < 0.01) but was not associated with antibiotic resistance of E. coli. Phenotypic resistance was highest among non-E. coli coliforms in the water column of tributaries draining moderately to extensively developed subcatchments. Generalized linear mixed-effects model results showed that 18% of the variance in presence of antibiotic resistance was explained by the fixed effects (summed CV across environmental variables, stream type, primary ecology, and stream compartment), and when a spatial random effect was included, the model explained 27% of the variance. Our study provides new evidence that environmental factors and bacterial primary ecology are important underlying factors associated with spatial patterns of antibiotic resistant enteric coliforms. We used macroecological concepts and a riverscape approach to characterize the distribution of antibiotic resistance with methods applicable to municipalities.

","language":"English","publisher":"University of Chicago Press","doi":"10.1086/731976","usgsCitation":"Klock, A.M., Torgersen, C.E., Roberts, M.C., Vogt, D.J., and Vogt, K.A., 2024, Environmental drivers and spatial patterns of antibiotic-resistant, enteric coliforms across a forest–urban riverscape: Freshwater Science, v. 43, no. 3, p. 231-249, https://doi.org/10.1086/731976.","productDescription":"19 p.","startPage":"231","endPage":"249","ipdsId":"IP-100689","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":432756,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Klock, Angela M","contributorId":342283,"corporation":false,"usgs":false,"family":"Klock","given":"Angela","email":"","middleInitial":"M","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":909967,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Torgersen, Christian E. 0000-0001-8325-2737 ctorgersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":146935,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian","email":"ctorgersen@usgs.gov","middleInitial":"E.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":909969,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roberts, Marilyn C","contributorId":342285,"corporation":false,"usgs":false,"family":"Roberts","given":"Marilyn","email":"","middleInitial":"C","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":909968,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vogt, Daniel J","contributorId":342289,"corporation":false,"usgs":false,"family":"Vogt","given":"Daniel","email":"","middleInitial":"J","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":909970,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vogt, Kristiina A","contributorId":342291,"corporation":false,"usgs":false,"family":"Vogt","given":"Kristiina","email":"","middleInitial":"A","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":909971,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70257086,"text":"70257086 - 2024 - Peri-Gondwanan sediment in the Arkoma Basin derived from the north: The detrital zircon record of a uniquely concentrated non-Laurentian source signal in the late Paleozoic","interactions":[],"lastModifiedDate":"2024-10-07T16:14:46.422867","indexId":"70257086","displayToPublicDate":"2024-08-02T06:46:56","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Peri-Gondwanan sediment in the Arkoma Basin derived from the north: The detrital zircon record of a uniquely concentrated non-Laurentian source signal in the late Paleozoic","docAbstract":"

During the assembly of Pangea, peri-Gondwanan terranes collided with the eastern and southern margins of Laurentia and brought with them unique detrital zircon U-Pb signatures. Discriminating between individual peri-Gondwanan terranes in the detrital record is difficult due to their similar geologic histories. However, characterization of this provenance is critical for understanding late Paleozoic sediment routing during development of Pangea. Along southeastern Laurentia, in the Arkoma Basin (present-day Arkansas and eastern Oklahoma, southeastern United States), we identified Middle Pennsylvanian (Desmoinesian) strata that exhibit a concentrated peri-Gondwanan detrital zircon signature (e.g., ca. 800–550 Ma). Although several southern peri-Gondwanan terranes (e.g., Maya, Suwannee) are closer to the Arkoma Basin, geologic data, such as predominantly north-to-south paleocurrents and proximal-to-distal facies relationships in these Desmoinesian strata, support a northern source (e.g., Ganderia, Avalonia, Meguma). Further evidence of a northern source comes from detrital zircon source mapping, which reveals the persistence of this peri-Gondwanan signal in depocenters to the north of the basin after the signal had diminished in the Arkoma Basin. To this end, bottom-up detrital zircon source modeling, source mapping, regional stratigraphy, paleocurrent data, and sandstone petrography allow us to reconstruct the evolution of this Middle Pennsylvanian (Desmoinesian) sediment pathway in the context of intraplate and plate-margin tectonic activity. This reconstruction documents processes affecting Earth’s surface (e.g., tectonics, climate) during the assembly of Pangea and describes in detail part of a dynamic continental-scale drainage system.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02740.1","usgsCitation":"Smith, T.M., Dechesne, M., Hirtz, J.A., Sharman, G.R., Hudson, M.R., Lutz, B.M., and Griffis, N.P., 2024, Peri-Gondwanan sediment in the Arkoma Basin derived from the north: The detrital zircon record of a uniquely concentrated non-Laurentian source signal in the late Paleozoic: Geosphere, v. 20, no. 5, p. 1286-1314, https://doi.org/10.1130/GES02740.1.","productDescription":"29 p.","startPage":"1286","endPage":"1314","ipdsId":"IP-159412","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":486904,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02740.1","text":"Publisher Index Page"},{"id":432430,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-08-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Tyson Michael 0000-0003-2834-3526","orcid":"https://orcid.org/0000-0003-2834-3526","contributorId":330276,"corporation":false,"usgs":true,"family":"Smith","given":"Tyson","email":"","middleInitial":"Michael","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":909355,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dechesne, Marieke 0000-0002-4468-7495","orcid":"https://orcid.org/0000-0002-4468-7495","contributorId":213936,"corporation":false,"usgs":true,"family":"Dechesne","given":"Marieke","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":909356,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hirtz, Jaime Ann Megumi 0000-0002-6701-0137","orcid":"https://orcid.org/0000-0002-6701-0137","contributorId":292911,"corporation":false,"usgs":true,"family":"Hirtz","given":"Jaime","email":"","middleInitial":"Ann Megumi","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":909357,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sharman, Glenn R.","contributorId":341980,"corporation":false,"usgs":false,"family":"Sharman","given":"Glenn","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":909358,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hudson, Mark R. 0000-0003-4447-7989 mhudson@usgs.gov","orcid":"https://orcid.org/0000-0003-4447-7989","contributorId":341982,"corporation":false,"usgs":true,"family":"Hudson","given":"Mark","email":"mhudson@usgs.gov","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":909359,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lutz, Brandon Michael 0000-0002-6580-9025","orcid":"https://orcid.org/0000-0002-6580-9025","contributorId":299272,"corporation":false,"usgs":true,"family":"Lutz","given":"Brandon","email":"","middleInitial":"Michael","affiliations":[{"id":64806,"text":"National Cooperative Geologic Mapping","active":true,"usgs":true}],"preferred":true,"id":909360,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Griffis, Neil Patrick 0000-0002-2506-7549","orcid":"https://orcid.org/0000-0002-2506-7549","contributorId":330218,"corporation":false,"usgs":true,"family":"Griffis","given":"Neil","email":"","middleInitial":"Patrick","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":909361,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70257114,"text":"70257114 - 2024 - Wave propagation in layered soil deposits","interactions":[],"lastModifiedDate":"2026-04-10T13:18:46.134058","indexId":"70257114","displayToPublicDate":"2024-08-01T11:02:01","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Wave propagation in layered soil deposits","docAbstract":"

Recent advances in the general theory of viscoelastic waves and rays in layered media provide a rigorous mathematical framework for site-specific, soil-response models used for earthquake resistant design. The advances provide general closed-form anelastic solutions for the classic problems of the response of a stack of soil layers to S and P waves, ray theory for reflected and refracted waves, Rayleigh- and Love-Type surface waves, and head waves. These general solutions valid for anelastic media regardless of the amount of material damping yield new insights regarding the characteristics of seismic waves and their ray paths that are not provided by conventional models. They provide corresponding numerical ground-response models and ray-tracing computation algorithms that account for changes in velocity and attenuation of anelastic waves associated with changes in inhomogeneity of the waves induced by anelastic soil and soil-rock boundaries. These anelastic effects manifest themselves as variations in amplitude response, amplitude attenuation, raypath location, and travel time as observed at the Earth’s surface. Implications of these anelastic effects for soil-response models used for earthquake resistant design are provided herein. 

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 18th WCEE 2024","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"International Association for Earthquake Engineering","usgsCitation":"Borcherdt, R.D., 2024, Wave propagation in layered soil deposits, in Proceedings of the 18th WCEE 2024, 12 p.","productDescription":"12 p.","ipdsId":"IP-158288","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":502364,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://proceedings-wcee.org/view.html?id=22759&conference=18WCEE"},{"id":502365,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Borcherdt, Roger D. 0000-0002-8668-0849 borcherdt@usgs.gov","orcid":"https://orcid.org/0000-0002-8668-0849","contributorId":2373,"corporation":false,"usgs":true,"family":"Borcherdt","given":"Roger","email":"borcherdt@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":909459,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70260498,"text":"70260498 - 2024 - Geochemistry of Archean komatiitic greenstone terranes of the Wyoming Province: Implications for geodynamic setting and mineralization","interactions":[],"lastModifiedDate":"2024-11-05T17:02:05.536003","indexId":"70260498","displayToPublicDate":"2024-08-01T10:58:26","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Geochemistry of Archean komatiitic greenstone terranes of the Wyoming Province: Implications for geodynamic setting and mineralization","docAbstract":"

No abstract available.

","conferenceTitle":"International Ni-Cu Symposium","conferenceDate":"August 6-8, 2024","conferenceLocation":"Thunder Bay, Ontario, Canada","language":"English","publisher":"Lakehead University","usgsCitation":"Zieman, L.J., Poletti, J.E., and Jenkins, M., 2024, Geochemistry of Archean komatiitic greenstone terranes of the Wyoming Province: Implications for geodynamic setting and mineralization, International Ni-Cu Symposium, Thunder Bay, Ontario, Canada, August 6-8, 2024, p. 105-106.","productDescription":"2 p.","startPage":"105","endPage":"106","ipdsId":"IP-164815","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":463696,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://ec.lakeheadu.ca/ni-cu/scientific-program","linkFileType":{"id":5,"text":"html"}},{"id":463706,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zieman, Lisa Joanne 0000-0002-0065-2565","orcid":"https://orcid.org/0000-0002-0065-2565","contributorId":345932,"corporation":false,"usgs":true,"family":"Zieman","given":"Lisa","email":"","middleInitial":"Joanne","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":917902,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poletti, Jacob Evan 0000-0002-3091-1249","orcid":"https://orcid.org/0000-0002-3091-1249","contributorId":345933,"corporation":false,"usgs":true,"family":"Poletti","given":"Jacob","email":"","middleInitial":"Evan","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":917903,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jenkins, Michael 0000-0002-4261-409X mjenkins@usgs.gov","orcid":"https://orcid.org/0000-0002-4261-409X","contributorId":172433,"corporation":false,"usgs":true,"family":"Jenkins","given":"Michael","email":"mjenkins@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":917904,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70256972,"text":"70256972 - 2024 - Asynchronous movement patterns between breeding and stopover locations in a long-distance migratory songbird","interactions":[],"lastModifiedDate":"2024-08-05T15:55:44.670373","indexId":"70256972","displayToPublicDate":"2024-08-01T10:52:17","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":947,"text":"Avian Conservation and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Asynchronous movement patterns between breeding and stopover locations in a long-distance migratory songbird","docAbstract":"

The species-specific migratory patterns and strategies of many songbirds remain unknown or understudied, as research in animal ecology is biased toward the breeding period, with the fewest studies on the migratory period across taxa. Identifying large-scale spatiotemporal migratory patterns is challenging, as individuals within a species may vary in their migratory behavior and strategies. The Yellow Warbler (Setophaga petechia) is a Nearctic-Neotropical migrant that is relatively well studied during the breeding season, but its species-wide migratory patterns remain understudied. Our aim in studying Yellow Warbler movement ecology was to characterize temporal migration patterns during fall migration. We sought to determine the temporal migration pattern among breeding locations, as determined by the hydrogen stable isotope values in feather samples collected at disjunct (~2000 km) stopover sites in the Gulf of Maine (n = 50) and the Gulf of Mexico (n = 150). We used a similarity matrix to group individuals into a geographic cluster by breeding location, which was then used as the response variable in a modeling analysis. Our results provide evidence that Yellow Warblers exhibit an asynchronous, type 1 temporal migration pattern with southern breeding populations initiating migration prior to northern populations. Using hydrogen isotopes, we identified the temporal migration patterns between geographic clusters, representing an individual’s breeding location, and stopover sites along the Gulf of Maine and Gulf of Mexico, which fills a gap in understanding Yellow Warbler migration ecology.

","language":"English","publisher":"Resilience Alliance","doi":"10.5751/ACE-02688-190203","usgsCitation":"Zenzal, T.J., Contina, A., Vander Zanden, H.B., Kuwahara, L.K., Allen, D.C., and Covino, K.M., 2024, Asynchronous movement patterns between breeding and stopover locations in a long-distance migratory songbird: Avian Conservation and Ecology, v. 19, no. 2, 3, 13 p., https://doi.org/10.5751/ACE-02688-190203.","productDescription":"3, 13 p.","ipdsId":"IP-148926","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":439233,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/ace-02688-190203","text":"Publisher Index Page"},{"id":432197,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zenzal, Theodore J. Jr. 0000-0001-7342-1373","orcid":"https://orcid.org/0000-0001-7342-1373","contributorId":224399,"corporation":false,"usgs":true,"family":"Zenzal","given":"Theodore","suffix":"Jr.","email":"","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":909033,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Contina, Andrea","contributorId":341849,"corporation":false,"usgs":false,"family":"Contina","given":"Andrea","email":"","affiliations":[{"id":78410,"text":"University of Texas Rio Grande Valley","active":true,"usgs":false}],"preferred":false,"id":909034,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vander Zanden, Hannah B.","contributorId":138885,"corporation":false,"usgs":false,"family":"Vander Zanden","given":"Hannah","email":"","middleInitial":"B.","affiliations":[{"id":12562,"text":"Department of Geology and Geophysics, University of Utah; Archie Carr Center for Sea Turtle Research, University of Florida","active":true,"usgs":false}],"preferred":false,"id":909035,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kuwahara, Leanne K.","contributorId":341850,"corporation":false,"usgs":false,"family":"Kuwahara","given":"Leanne","email":"","middleInitial":"K.","affiliations":[{"id":81800,"text":"Layola Marymount University","active":true,"usgs":false}],"preferred":false,"id":909036,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allen, Daniel C.","contributorId":335231,"corporation":false,"usgs":false,"family":"Allen","given":"Daniel","email":"","middleInitial":"C.","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":909037,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Covino, Kristen M.","contributorId":341851,"corporation":false,"usgs":false,"family":"Covino","given":"Kristen","email":"","middleInitial":"M.","affiliations":[{"id":81801,"text":"Loyola Marymount University","active":true,"usgs":false}],"preferred":false,"id":909038,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70260495,"text":"70260495 - 2024 - A multi-methodological approach: Combining textural observations and geochronology to study the J-M Reef Package and its Hanging Wall, Stillwater Complex, Montana","interactions":[],"lastModifiedDate":"2024-11-05T16:57:22.078635","indexId":"70260495","displayToPublicDate":"2024-08-01T10:51:58","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"A multi-methodological approach: Combining textural observations and geochronology to study the J-M Reef Package and its Hanging Wall, Stillwater Complex, Montana","docAbstract":"

No abstract available.

","conferenceTitle":"International Ni-Cu Symposium","conferenceDate":"August 6-8, 2024","conferenceLocation":"Thunder Bay, Ontario, Canada","language":"English","publisher":"Lakehead University","usgsCitation":"Jenkins, M., Corson, S.R., Geraghty, E., Kamo, S., Lowers, H.A., and Mungall, J.E., 2024, A multi-methodological approach: Combining textural observations and geochronology to study the J-M Reef Package and its Hanging Wall, Stillwater Complex, Montana, International Ni-Cu Symposium, Thunder Bay, Ontario, Canada, August 6-8, 2024, p. 41-43.","productDescription":"3 p.","startPage":"41","endPage":"43","ipdsId":"IP-164678","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":463694,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://ec.lakeheadu.ca/ni-cu/scientific-program","linkFileType":{"id":5,"text":"html"}},{"id":463705,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"J-M Reef Package and its Hanging Wall, Stillwater Complex","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jenkins, Michael 0000-0002-4261-409X mjenkins@usgs.gov","orcid":"https://orcid.org/0000-0002-4261-409X","contributorId":172433,"corporation":false,"usgs":true,"family":"Jenkins","given":"Michael","email":"mjenkins@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":917891,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Corson, Sam R.","contributorId":260808,"corporation":false,"usgs":false,"family":"Corson","given":"Sam","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":917892,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Geraghty, Ennis","contributorId":345929,"corporation":false,"usgs":false,"family":"Geraghty","given":"Ennis","email":"","affiliations":[{"id":56274,"text":"Sibanye-Stillwater","active":true,"usgs":false}],"preferred":false,"id":917893,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kamo, S.L.","contributorId":23287,"corporation":false,"usgs":true,"family":"Kamo","given":"S.L.","email":"","affiliations":[],"preferred":false,"id":917894,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lowers, Heather A. 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":191307,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":917895,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mungall, James E. 0000-0001-9726-8545","orcid":"https://orcid.org/0000-0001-9726-8545","contributorId":269537,"corporation":false,"usgs":false,"family":"Mungall","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":917896,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70257480,"text":"70257480 - 2024 - Capelin on the rebound: Using seabird diets to track trends in forage fish populations","interactions":[],"lastModifiedDate":"2024-08-16T15:28:57.932189","indexId":"70257480","displayToPublicDate":"2024-08-01T10:25:33","publicationYear":"2024","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":18341,"text":"Delta Sound Connections","active":true,"publicationSubtype":{"id":30}},"title":"Capelin on the rebound: Using seabird diets to track trends in forage fish populations","docAbstract":"Capelin are cold-water forage fish that respond rapidly to fluctuating ocean temperatures. They are prized food for seabirds and other marine predators in Alaska. Researchers have monitored seabird diets at Middleton Island for decades to make connections between changes in abundance of predators and their prey. During a prolonged marine heatwave in the Gulf of Alaska, seabird diets and limited trawl surveys showed that capelin populations collapsed from record high abundance during the 2007–2013 cool period (Hatch 2013) to record lows in 2016 (Arimitsu et al. 2021). Capelin occurrence in diets had previously oscillated out of phase with Pacific sand lance numbers during cold and warm years (Sydeman et al. 2017), however, the occurrence of both prey species in seabird diets fell below average during 2014–2022 (Fig. 1). Following a period of cooler ocean temperatures in the Gulf of Alaska, during 2023 we began to see signs of capelin stock recovery, with a moderate increase in occurrence in spring and summer seabird diets (Fig. 1, Hatch et al. 2023). Continued monitoring of seabird diets can help track capelin populations and other key forage fish to inform ecosystem-based management in 2024 and beyond.","language":"English","publisher":"Prince William Sound Science Center","usgsCitation":"Arimitsu, M.L., Marsteller, C.E., Piatt, J., Hatch, S., and Wheland, S., 2024, Capelin on the rebound: Using seabird diets to track trends in forage fish populations: Delta Sound Connections, v. 2024-'25.","productDescription":"1 p.","startPage":"6","ipdsId":"IP-163358","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":432862,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":432861,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pwssc.org/education/delta-sound-connections/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","otherGeospatial":"Gulf of Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -150.77199585957212,\n 59.26881099856607\n ],\n [\n -153.94611405017184,\n 56.51729622949853\n ],\n [\n -134.98579563208682,\n 56.545558198375346\n ],\n [\n -137.67284996186456,\n 58.70580202741482\n ],\n [\n -141.66575217225886,\n 59.854419527837756\n ],\n [\n -146.2252427959988,\n 60.429156939699894\n ],\n [\n -150.77199585957212,\n 59.26881099856607\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"2024-'25","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Arimitsu, Mayumi L. 0000-0001-6982-2238 marimitsu@usgs.gov","orcid":"https://orcid.org/0000-0001-6982-2238","contributorId":140501,"corporation":false,"usgs":true,"family":"Arimitsu","given":"Mayumi","email":"marimitsu@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":910510,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marsteller, Caitlin Elizabeth 0000-0002-2430-0708","orcid":"https://orcid.org/0000-0002-2430-0708","contributorId":251784,"corporation":false,"usgs":true,"family":"Marsteller","given":"Caitlin","email":"","middleInitial":"Elizabeth","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":910822,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Piatt, John F. 0000-0002-4417-5748","orcid":"https://orcid.org/0000-0002-4417-5748","contributorId":244053,"corporation":false,"usgs":true,"family":"Piatt","given":"John F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":910513,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatch, Scott","contributorId":258853,"corporation":false,"usgs":false,"family":"Hatch","given":"Scott","affiliations":[{"id":52319,"text":"ISRC","active":true,"usgs":false}],"preferred":false,"id":910511,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wheland, Shannon","contributorId":342935,"corporation":false,"usgs":false,"family":"Wheland","given":"Shannon","email":"","affiliations":[{"id":35874,"text":"Institute for Seabird Research and Conservation","active":true,"usgs":false}],"preferred":false,"id":910512,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70261861,"text":"70261861 - 2024 - Observing systems, modeling, and forecasting","interactions":[],"lastModifiedDate":"2025-01-02T14:29:47.543312","indexId":"70261861","displayToPublicDate":"2024-08-01T10:16:25","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"chapter":"1","title":"Observing systems, modeling, and forecasting","docAbstract":"

Predicting harmful algal blooms (HABs) requires integrating physical, chemical, and biological data collected from observing networks and then assimilating these data into models, which are used to generate forecasts. In 2005, the Harmful Algal Research and Response: A National Environmental Science Strategy 2005-2015 (HARRNESS, 2005) made recommendations on how to improve HAB modeling and forecasting over the next decade. Key HARRNESS recommendations related to sensing, networking, and modeling HABs included:

● Support the development and validation of new and improved technologies for remote cell and toxin detection, and for modeling and forecasting,

● Improve coordination of monitoring/ and modeling efforts, both at national and regional levels,

● Improve the use of networking technologies for monitoring and modeling efforts,

● Conduct sustained time series measurements of the biotic, chemical, and physical environments impacted by HABs,

● Develop food web models on the ecosystem fate and effects of toxins,

● Develop and improve species-specific models that link to physical-biological models.

Here we review HAB observing, modeling, and forecasting advances and technologies and recommend research and management priorities for the next decade and beyond. Our report encompasses sensing technologies, sensor networking and data management, models and forecasts, and the paths to operationalize forecasts.

Continued improvements of deployable sensors are foundational to improving early warning indicators, models, and forecasts, which are only as good as the underlying data. Sensing technology has advanced considerably in the last decade; for example, more capable fluorometric pigment sensors can track changes in bloom biomass in real-time. Additionally, automated imaging/classifying systems to identify and quantify key harmful algal (HA) taxa are being routinely deployed. However, deployable toxin sensors are available for only some HAB toxins and continue to be identified as a critical need by researchers and managers. As more and improved sensors and technologies become available, the data quality associated with each sensor needs to be assessed. Data quality encompasses the reliability, accuracy, and uncertainty associated with sensor-generated data. These data need to be of known quality so that researchers, managers, and end-users can reliably determine if the information is appropriate for their intended applications. Many of the data quality recommendations from HARRNESS (2005) are still relevant and have been reiterated within the management community. Understanding and documenting data quality, and when applicable, standardizing best practices for sensor use, continue to be recommended.

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Harmful algal research & response: A national environmental science strategy (HARRNESS), 2024-2034","largerWorkSubtype":{"id":3,"text":"Organization Series"},"language":"English","publisher":"Woods Hole Oceanographic Institution","doi":"10.1575/1912/69773","usgsCitation":"Bouma-Gregson, K., Doucette, G., Graham, J.L., Kudela, R., Stauffer, B., Anderson, C., Bratton, J.F., Holcomb, B.M., Hubbard, K., Norris, T., Stiles, T., Tango, P.J., Raymond, H., and Zubkousky, V., 2024, Observing systems, modeling, and forecasting, 25 p., https://doi.org/10.1575/1912/69773.","productDescription":"25 p.","startPage":"31","endPage":"55","ipdsId":"IP-146565","costCenters":[{"id":154,"text":"California Water Science 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jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":1769,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922058,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kudela, Raphael","contributorId":196461,"corporation":false,"usgs":false,"family":"Kudela","given":"Raphael","affiliations":[],"preferred":false,"id":922061,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stauffer, Beth","contributorId":347626,"corporation":false,"usgs":false,"family":"Stauffer","given":"Beth","affiliations":[],"preferred":false,"id":922072,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anderson, Clarissa 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