{"pageNumber":"145","pageRowStart":"3600","pageSize":"25","recordCount":184606,"records":[{"id":70255903,"text":"70255903 - 2024 - Perfluorohexanesulfonic acid (PFHxS) impairs lipid homeostasis in zebrafish larvae through activation of PPARα","interactions":[],"lastModifiedDate":"2024-09-23T16:18:50.800657","indexId":"70255903","displayToPublicDate":"2024-08-15T09:34:09","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Perfluorohexanesulfonic acid (PFHxS) impairs lipid homeostasis in zebrafish larvae through activation of PPARα","docAbstract":"<p><span>Perfluorohexanesulfonic acid (PFHxS), an emerging short-chain per- and polyfluoroalkyl substance, has been frequently detected in aquatic environments. Adverse outcome pathway studies have shown that perfluorinated compounds impair lipid homeostasis through peroxisome proliferator activated receptors (PPARs). However, many of these studies were performed at high concentrations and may thus be a result of overt toxicity. To better characterize the molecular and key events of PFHxS to biota, early life-stage zebrafish (</span><i>Danio rerio</i><span>) were exposed to concentrations detected in the environment (0.01, 0.1, 1, and 10 μg/L). Lipidomic and transcriptomic evaluations were integrated to predict potential molecular targets. PFHxS significantly impaired lipid homeostasis by the dysregulation of glycerophospholipids, fatty acyls, glycerolipids, sphingolipids, prenol lipids, and sterol lipids. Informatic analyses of the lipidome and transcriptome indicated alterations of the PPAR signaling pathway, with downstream changes to retinol, linoleic acid, and glycerophospholipid metabolism. To assess the role of PPARs, potential binding of PFHxS to PPARs was predicted and animals were coexposed to a PPAR antagonist (GW6471). Molecular simulation indicated PFHxS had a 27.1% better binding affinity than oleic acid, an endogenous agonist of PPARα. Antagonist coexposures rescued impaired glycerophosphocholine concentrations altered by PFHxS. These data indicate PPARα activation may be an important molecular initiating event for PFHxS.</span></p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.4c03053","usgsCitation":"He, Y., Liao, H., Yang, G., Qui, W., Xuan, R., Zheng, G., Xu, B., Yang, X., Magnuson, J.T., Schlenk, D., and Zheng, C., 2024, Perfluorohexanesulfonic acid (PFHxS) impairs lipid homeostasis in zebrafish larvae through activation of PPARα: Environmental Science & Technology, v. 58, no. 37, p. 16258-16268, https://doi.org/10.1021/acs.est.4c03053.","productDescription":"11 p.","startPage":"16258","endPage":"16268","ipdsId":"IP-164054","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":430893,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"37","noUsgsAuthors":false,"publicationDate":"2024-08-15","publicationStatus":"PW","contributors":{"authors":[{"text":"He, Ying-Jie","contributorId":340031,"corporation":false,"usgs":false,"family":"He","given":"Ying-Jie","email":"","affiliations":[{"id":81428,"text":"Southern University of Science and Technology - China","active":true,"usgs":false}],"preferred":false,"id":905953,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liao, Haolin","contributorId":340032,"corporation":false,"usgs":false,"family":"Liao","given":"Haolin","email":"","affiliations":[{"id":81428,"text":"Southern University of Science and Technology - China","active":true,"usgs":false}],"preferred":false,"id":905954,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yang, Ge","contributorId":340033,"corporation":false,"usgs":false,"family":"Yang","given":"Ge","email":"","affiliations":[{"id":81428,"text":"Southern University of Science and Technology - China","active":true,"usgs":false}],"preferred":false,"id":905955,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Qui, Wenhui","contributorId":329840,"corporation":false,"usgs":false,"family":"Qui","given":"Wenhui","email":"","affiliations":[{"id":78727,"text":"Southern University of Science and Technology","active":true,"usgs":false}],"preferred":false,"id":910819,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Xuan, Rongrong","contributorId":329834,"corporation":false,"usgs":false,"family":"Xuan","given":"Rongrong","email":"","affiliations":[{"id":78725,"text":"Ningbo University","active":true,"usgs":false}],"preferred":false,"id":906062,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zheng, Guomao","contributorId":340034,"corporation":false,"usgs":false,"family":"Zheng","given":"Guomao","email":"","affiliations":[{"id":81428,"text":"Southern University of Science and Technology - China","active":true,"usgs":false}],"preferred":false,"id":906063,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Xu, Bentuo","contributorId":329839,"corporation":false,"usgs":false,"family":"Xu","given":"Bentuo","email":"","affiliations":[{"id":78729,"text":"Wenzhou University","active":true,"usgs":false}],"preferred":false,"id":910820,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yang, Xin","contributorId":340070,"corporation":false,"usgs":false,"family":"Yang","given":"Xin","email":"","affiliations":[],"preferred":false,"id":910821,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Magnuson, Jason Tyler 0000-0001-6841-8014","orcid":"https://orcid.org/0000-0001-6841-8014","contributorId":329838,"corporation":false,"usgs":true,"family":"Magnuson","given":"Jason","email":"","middleInitial":"Tyler","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":905959,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Schlenk, Daniel","contributorId":99845,"corporation":false,"usgs":true,"family":"Schlenk","given":"Daniel","affiliations":[],"preferred":false,"id":906065,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Zheng, Chunmiao","contributorId":214041,"corporation":false,"usgs":false,"family":"Zheng","given":"Chunmiao","email":"","affiliations":[{"id":16675,"text":"U Alabama","active":true,"usgs":false}],"preferred":false,"id":906067,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70257286,"text":"sim3523 - 2024 - Estimation of reservoir storage capacity and geomorphic change detection analysis from a multibeam bathymetric survey of Randy Poynter Lake, Rockdale County, Georgia","interactions":[],"lastModifiedDate":"2025-08-14T19:12:11.272365","indexId":"sim3523","displayToPublicDate":"2024-08-15T08:38:34","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3523","displayTitle":"Estimation of Reservoir Storage Capacity and Geomorphic Change Detection Analysis From a Multibeam Bathymetric Survey of Randy Poynter Lake, Rockdale County, Georgia","title":"Estimation of reservoir storage capacity and geomorphic change detection analysis from a multibeam bathymetric survey of Randy Poynter Lake, Rockdale County, Georgia","docAbstract":"<p><span>Rockdale County Department of Water Resources has a directive to update estimates of the reservoir storage capacity of Randy Poynter Lake, located in northern Georgia, and to assess recent sedimentation and associated storage capacity loss. In 2022, the U.S. Geological Survey completed a multibeam bathymetric survey of Randy Poynter Lake to update storage capacity estimates and to quantify storage capacity change since the first multibeam bathymetric survey in 2012 in consideration of estimated errors inherent to bathymetric surveys. Data from the 2022 survey were used to generate contours of the reservoir as well as compute storage capacity at regular increments of water-surface elevation. Storage capacity comparisons between 2012 and 2022 at Randy Poynter Lake show minimal changes that are within the estimated uncertainties, with consistent or slightly increased storage capacities observed at most water-surface elevations and reductions observed at the remaining few elevations. Comparison of the multibeam bathymetric data collected in 2012 with data collected in 2022 further allowed for a formal geomorphic change detection analysis to map, quantify, and infer causation of morphological change over time with respect to a level of detectable change. The volume change in Randy Poynter Lake for the decade between 2012 and 2022 was slightly net-depositional and within the estimated uncertainty. The spatial distribution of sediment deposition was primarily concentrated in the northern portion of the lake, where the principal tributary flows into Randy Poynter Lake. The results of the geomorphic change analysis were used to further understand the future implications to storage capacity change. Despite the challenges of confirming systematic biases because of uncertainties exceeding the observed changes, insights from the study help predict long-term reservoir sediment accumulation, indicating a reservoir half-life extending about 650 years from 2022 on the basis of the current sediment yield estimates.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3523","issn":"2329-132X","collaboration":"Prepared in cooperation with the Rockdale County Department of Water Resources","usgsCitation":"Whaling, A.R., and Bolton, W.J., 2024, Estimation of reservoir storage capacity and geomorphic change detection analysis from a multibeam bathymetric survey of Randy Poynter Lake, Rockdale County, Georgia (ver. 1.1, 2025): U.S. Geological Survey Scientific Investigations Map 3523, 2 sheets, https://doi.org/10.3133/sim3523.","productDescription":"2 Sheets: 47.00 x 32.23 inches; 2 Data Releases","numberOfPages":"2","onlineOnly":"Y","ipdsId":"IP-157799","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":494128,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118630.htm","linkFileType":{"id":5,"text":"html"}},{"id":432656,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3523/sim3523.pdf","size":"13.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3523"},{"id":432655,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3523/coverthb2.jpg"},{"id":432657,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9G8HZTY","text":"USGS Data Release","linkHelpText":"Watershed characteristics and streamwater constituent load data, models, and estimates for 15 watersheds in Gwinnett County, Georgia, 2000–2021"},{"id":432658,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9G9YVDU","text":"USGS Data Release","linkHelpText":"Bathymetric and supporting data for estimation of reservoir storage capacity and geomorphic change detection analysis from a multibeam bathymetric survey of Randy Poynter Lake, Rockdale County, Georgia"},{"id":489473,"rank":5,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sim/3523/sim3523_verHist.txt","linkFileType":{"id":2,"text":"txt"}}],"country":"United States","state":"Georgia","county":"Rockdale County","otherGeospatial":"Randy Poynter Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -83.9579460131726,\n              33.762755823898075\n            ],\n            [\n              -83.9579460131726,\n              33.72795567856667\n            ],\n            [\n              -83.92619350646511,\n              33.72795567856667\n            ],\n            [\n              -83.92619350646511,\n              33.762755823898075\n            ],\n            [\n              -83.9579460131726,\n              33.762755823898075\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Version 1.0: August 15, 2024; Version 1.1: June 03, 2025","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/lmg-water/\" href=\"https://www.usgs.gov/centers/lmg-water/\">Lower Mississippi-Gulf Water Science Center</a><br>U.S. Geological Survey<br>640 Grassmere Park, Suite 100<br>Nashville, TN 37211<br></p><p><a id=\"LPlnk\" class=\"OWAAutoLink\" title=\"https://pubs.usgs.gov/contact\" href=\"https://pubs.usgs.gov/contact\" data-auth=\"NotApplicable\" data-mce-href=\"../contact\">Contact Us- USGS Publications Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Geomorphic Change Detection</li><li>Uncertainty</li><li>Storage Capacity Change</li><li>Potential Implications to Reservoir Life</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2024-08-15","revisedDate":"2025-06-03","noUsgsAuthors":false,"publicationDate":"2024-08-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Whaling, A.R. 0000-0003-1375-8323","orcid":"https://orcid.org/0000-0003-1375-8323","contributorId":342233,"corporation":false,"usgs":true,"family":"Whaling","given":"A.R.","email":"","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909852,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bolton, W.J. 0000-0002-5120-2695","orcid":"https://orcid.org/0000-0002-5120-2695","contributorId":342234,"corporation":false,"usgs":true,"family":"Bolton","given":"W.J.","email":"","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909853,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70257483,"text":"70257483 - 2024 - Foraging ecology of southern sea otters at the northern range extent informs regional population dynamics","interactions":[],"lastModifiedDate":"2024-08-16T12:21:45.4335","indexId":"70257483","displayToPublicDate":"2024-08-15T07:19:31","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"Foraging ecology of southern sea otters at the northern range extent informs regional population dynamics","docAbstract":"<p class=\"abstract_block\">Sea otters<span>&nbsp;</span><i>Enhydra lutris</i><span>&nbsp;</span>are vital keystone predators throughout the North Pacific that were nearly extirpated during the maritime fur trade. Recovery of southern sea otters<span>&nbsp;</span><i>E. l. nereis</i><span>&nbsp;</span>has proceeded slowly, with much of their historical range remaining unoccupied, resulting in reduced ecosystem functioning. Numerous studies have used foraging metrics to assess the population status of southern sea otters throughout their current range, but little is known about the northern range extent, where a stall in expansion has limited recovery. Thus, we collected census and foraging data of sea otters at Año Nuevo State Park, California, from 2019 to 2021 to determine sea otter abundance, diet composition, diet diversity, and average energy intake rate at the northern range edge. We then assessed regional population status by comparing values from Año Nuevo with previously collected data from other locations in California, including high-density, range center sites and low-density, range periphery sites. We found that sea otter density at Año Nuevo was greater than surrounding areas at the northern range periphery, and the average (±95% CI) energy intake (9.51 ± 0.91 kcal min<sup>-1</sup>) more closely resembled values observed at high-density sites. Further, dietary diversity (using the Shannon-Wiener index,<span>&nbsp;</span><i>H</i>) was intermediate between previously studied high- and low-density populations (<i>H</i><span>&nbsp;</span>= 1.81), with crabs making up the largest proportion of the diet (~56%). Overall, this study highlights possible effects of occupation time and range stagnation, identifies unique aspects of the prey resource base at Año Nuevo, and provides insight into the ongoing lack of northern range expansion.</p>","language":"English","publisher":"Inter-Research","doi":"10.3354/esr01348","usgsCitation":"Lyon, S., Tomoleoni, J.A., Yee, J.L., Fujii, J., and Thometz, N.M., 2024, Foraging ecology of southern sea otters at the northern range extent informs regional population dynamics: Endangered Species Research, v. 54, p. 383-394, https://doi.org/10.3354/esr01348.","productDescription":"12 p.","startPage":"383","endPage":"394","ipdsId":"IP-165429","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":439213,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr01348","text":"Publisher Index Page"},{"id":432853,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Año Nuevo State Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.40204225488112,\n              37.18784613344222\n            ],\n            [\n              -122.40204225488112,\n              37.091990782817675\n            ],\n            [\n              -122.26301521264912,\n              37.091990782817675\n            ],\n            [\n              -122.26301521264912,\n              37.18784613344222\n            ],\n            [\n              -122.40204225488112,\n              37.18784613344222\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"54","noUsgsAuthors":false,"publicationDate":"2024-08-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Lyon, Sophia N.","contributorId":342938,"corporation":false,"usgs":false,"family":"Lyon","given":"Sophia N.","affiliations":[{"id":16849,"text":"University of San Francisco","active":true,"usgs":false}],"preferred":false,"id":910514,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tomoleoni, Joseph A. 0000-0001-6980-251X jtomoleoni@usgs.gov","orcid":"https://orcid.org/0000-0001-6980-251X","contributorId":167551,"corporation":false,"usgs":true,"family":"Tomoleoni","given":"Joseph","email":"jtomoleoni@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":910515,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yee, Julie L. 0000-0003-1782-157X julie_yee@usgs.gov","orcid":"https://orcid.org/0000-0003-1782-157X","contributorId":3246,"corporation":false,"usgs":true,"family":"Yee","given":"Julie","email":"julie_yee@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":910516,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fujii, Jessica 0000-0003-4794-479X","orcid":"https://orcid.org/0000-0003-4794-479X","contributorId":139956,"corporation":false,"usgs":false,"family":"Fujii","given":"Jessica","affiliations":[{"id":6953,"text":"Monterey Bay Aquarium","active":true,"usgs":false}],"preferred":false,"id":910517,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thometz, Nicole M.","contributorId":342939,"corporation":false,"usgs":false,"family":"Thometz","given":"Nicole","email":"","middleInitial":"M.","affiliations":[{"id":16849,"text":"University of San Francisco","active":true,"usgs":false}],"preferred":false,"id":910518,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70257632,"text":"70257632 - 2024 - Paired comparisons with quiet surface drones show evidence of fish behavioral response to motorized vessels during acoustic surveys in Lake Superior","interactions":[],"lastModifiedDate":"2024-12-10T15:13:27.024267","indexId":"70257632","displayToPublicDate":"2024-08-15T07:02:01","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Paired comparisons with quiet surface drones show evidence of fish behavioral response to motorized vessels during acoustic surveys in Lake Superior","docAbstract":"<div id=\"abstracts\" data-extent=\"frontmatter\"><div class=\"core-container\"><div>Acoustic surveys are important for fish stock assessments, but fish responses to survey vessels can bias acoustic estimates. We leveraged quiet uncrewed surface vessels (USVs) to characterize potential bias in acoustic surveys. Five conventional motorized ships overtook USVs from astern over 2 km transects at night in Lake Superior in 2022. We examined the difference in acoustic backscatter, average target depth, and average target strength (TS) between USV and motorized vessels. Although sound level measurements from the motorized vessels sometimes exceeded recommendations for scientific vessels, we did not detect differences in acoustic measures among survey vessels. However, the USVs recorded 2 dB higher acoustic backscatter and TS than motorized vessels, leading to ~15% higher fish densities with drones when using in situ TS and echo integration. Differences in fish density would increase to 30-60% if a standard TS value was applied. Target depth did not differ between USVs and motorized ships. These results are consistent with a change in orientation but not depth of insonified fish and limited horizontal avoidance of motorized survey vessels.</div></div></div>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2024-0087","usgsCitation":"Evans, T.M., Rudstam, L.G., Sethi, S.A., Yule, D.L., Warner, D., Farha, S., Barnard, A.R., Dufour, M.R., O’Brien, T.P., Nasworthy, K., Harding, I., Ray, B.A., Isaac, E., Blankenheim, J., Blair, H.B., Watkins, J.M., Senczyszyn, S.A., Roberts, J., and Esselman, P., 2024, Paired comparisons with quiet surface drones show evidence of fish behavioral response to motorized vessels during acoustic surveys in Lake Superior: Canadian Journal of Fisheries and Aquatic Sciences, v. 81, no. 12, p. 1740-1851, https://doi.org/10.1139/cjfas-2024-0087.","productDescription":"12 p.","startPage":"1740","endPage":"1851","ipdsId":"IP-163912","costCenters":[{"id":191,"text":"Colorado Water Science 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0000-0003-4604-6525","orcid":"https://orcid.org/0000-0003-4604-6525","contributorId":342224,"corporation":false,"usgs":false,"family":"Senczyszyn","given":"Steven","email":"","middleInitial":"A.","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":911132,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Roberts, James 0000-0002-4193-610X jroberts@usgs.gov","orcid":"https://orcid.org/0000-0002-4193-610X","contributorId":5453,"corporation":false,"usgs":true,"family":"Roberts","given":"James","email":"jroberts@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":911133,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Esselman, Peter C. 0000-0002-0085-903X","orcid":"https://orcid.org/0000-0002-0085-903X","contributorId":204291,"corporation":false,"usgs":true,"family":"Esselman","given":"Peter C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":911134,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}}
,{"id":70257196,"text":"sir20245072 - 2024 - Water-quality constituent concentrations and loads computed using real-time water-quality data for the Republican River, Clay Center, Kansas, August 2018 through July 2023","interactions":[],"lastModifiedDate":"2024-08-15T14:58:29.532097","indexId":"sir20245072","displayToPublicDate":"2024-08-15T06:48:21","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":"2024-5072","displayTitle":"Water-Quality Constituent Concentrations and Loads Computed Using Real-Time Water-Quality Data for the Republican River, Clay Center, Kansas, August 2018 through July 2023","title":"Water-quality constituent concentrations and loads computed using real-time water-quality data for the Republican River, Clay Center, Kansas, August 2018 through July 2023","docAbstract":"<p>Milford Lake, the largest reservoir by surface area in Kansas, has had confirmed harmful algal blooms every summer since reporting began in 2011, except 2018–19. Milford Lake has been listed as impaired and designated hypereutrophic under section 303(d) of the 1972 Clean Water Act. In 2014, the Kansas Department of Health and Environment established a total maximum daily load for eutrophication and dissolved oxygen impairments. In 2018, the Natural Resources Conservation Service funded the Regional Conservation Partnership Program for the Milford Lake Watershed to focus on best management practices in the Lower Republican River Basin. The U.S. Geological Survey, in cooperation with the Kansas Water Office, completed this study to assess and quantify water-quality constituent concentrations and loads for total nitrogen (TN), total phosphorus (TP), and suspended sediment (SS) using previously published models for the Republican River near Clay Center, Kansas (U.S. Geological Survey station 06856600), about 15 miles upstream from Milford Lake, during August 1, 2018, through July 31, 2023. TN, TP, and SS concentrations and loads were monitored because of their relation to water supply and water-quality issues in Milford Lake, including nutrient and sediment transport, taste-and-odor events, potentially toxic cyano-harmful algal bloom events, and subsequent downstream transport of contaminants. Data from this report can be used to evaluate changing conditions, provide science-based information for decision making, and help meet regulatory requirements.</p><p>The study mean annual loads for TN and TP were greater than the reported mean annual total maximum daily load and exceeded the watershed reduction goals as well as Kansas nonpoint source reduction goals defined by the Watershed Restoration and Protection Strategy for the Lower Republican watershed. TN and TP annual loads during 2019–20 were greater than the defined mean annual total maximum daily load. During 2022, TN and TP annual loads were less than the Kansas nonpoint source reduction goal and during 2023 were less than the watershed reduction goal. SS loads were less than the mean annual sedimentation rate computed from the total maximum daily load for the entirety of the study period, and the study mean annual load was 72 percent less than the designed annual reservoir sedimentation rate for Milford Lake.</p><p>Data collected during the study period represented a wide range of streamflow and water-quality conditions at the Clay Center site, ranging from low-flow with less frequent runoff during 2023 to high-flow with frequent runoff during 2018. Nutrient reduction goals were only met in the final 2 years of the study period when annual mean flow conditions were lower than normal, indicating that goals may be unattainable during average or high-flow conditions. In all years except 2019, the annual mean SS load was less than the 20-year sediment load reduction target. Although annual SS loads at the Clay Center site generally decreased over time, corresponding reductions in annual streamflow indicated that these reductions may primarily be related to less frequent runoff from the upstream basin. Continued water-quality monitoring and tracking of best management practices are necessary to understand the success of Regional Conservation Partnership Program efforts to reduce nutrient transport in the Milford Lake Watershed.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245072","collaboration":"Prepared in cooperation with the Kansas Water Office","usgsCitation":"Kramer, A.R., and Abel, J.R., 2024, Water-quality constituent concentrations and loads computed using real-time water-quality data for the Republican River, Clay Center, Kansas, August 2018 through July 2023: U.S. Geological Survey Scientific Investigations Report 2024–5072, 21 p., https://doi.org/10.3133/sir20245072.","productDescription":"Report: v, 21 p.; Dataset","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-160554","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":432611,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5072/coverthb.jpg"},{"id":432612,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5072/sir20245072.pdf","text":"Report","size":"2.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024–5072"},{"id":432613,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5072/sir20245072.XML"},{"id":432614,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5072/images/"},{"id":432615,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245072/full"},{"id":432616,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the Nation"}],"country":"United States","state":"Kansas","otherGeospatial":"Clay Center, Republican River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -98.25,\n              40\n            ],\n            [\n              -98.25,\n              39\n            ],\n            [\n              -96.5,\n              39\n            ],\n            [\n              -96.5,\n              40\n            ],\n            [\n              -98.25,\n              40\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/kswsc\" data-mce-href=\"https://www.usgs.gov/centers/kswsc\">Kansas Water Science Center</a><br>U.S. Geological Survey<br>1217 Biltmore Drive<br>Lawrence, KS 66049</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction and Background</li><li>Purpose and Scope</li><li>Methods</li><li>Continuous and Discretely Monitored Water-Quality Variables</li><li>Computed Concentrations, Loads, and Comparison to Watershed Goals</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Supplemental data for discrete water-quality samples collected at the Republican River near Clay Center, Kansas</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2024-08-15","noUsgsAuthors":false,"publicationDate":"2024-08-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Kramer, Ariele R. 0000-0002-7075-3310 akramer@usgs.gov","orcid":"https://orcid.org/0000-0002-7075-3310","contributorId":185245,"corporation":false,"usgs":true,"family":"Kramer","given":"Ariele","email":"akramer@usgs.gov","middleInitial":"R.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":909709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abel, Justin R. 0000-0003-0191-8000 jabel@usgs.gov","orcid":"https://orcid.org/0000-0003-0191-8000","contributorId":250679,"corporation":false,"usgs":true,"family":"Abel","given":"Justin","email":"jabel@usgs.gov","middleInitial":"R.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":909710,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70259649,"text":"70259649 - 2024 - Using systematic conservation planning to recover climate resilient habitat for threatened and endangered species while retaining areas of cultural importance","interactions":[],"lastModifiedDate":"2024-10-18T12:14:07.089363","indexId":"70259649","displayToPublicDate":"2024-08-14T07:11:37","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18016,"text":"Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Using systematic conservation planning to recover climate resilient habitat for threatened and endangered species while retaining areas of cultural importance","docAbstract":"<div class=\"html-p\">The effective management of at-risk species often requires fine-scale actions by natural resource managers. However, balancing these actions with concurrent land uses is challenging, particularly when compounded by the interplay of climate shifts, and escalating wildland–urban interface conflicts. We used spatial prioritization tools designed for biodiversity conservation to help resource managers on the Island of Lānaʻi prioritize mutually exclusive land use objectives: endangered species recovery and subsistence and recreational hunting. We weighed the current and anticipated future distributions of threatened and endangered plant species against the distribution of non-native game mammals to plan for species recovery more effectively. Prioritization results identified multiple footprints that could support recovery of all endangered species targets in climate resilient areas while retaining the majority of existing hunting areas. However, very little native vegetation was retained in conservation footprints without deliberate inclusion, which increased footprint area by 268%. Scenarios which prioritized contiguous conservation areas also dramatically increased conservation footprint area, although these scenarios may reduce associated fencing costs. This work demonstrates how spatial prioritization may guide localized species recovery efforts by supporting long-term conservation planning that addresses anticipated climate-driven increases in conflict between conservation and other land uses, with clear applicability beyond Lānaʻi.</div><div id=\"html-keywords\"><br></div>","language":"English","publisher":"MDPI","doi":"10.3390/conservation4030028","usgsCitation":"Leopold, C., Fortini, L., Sprague, J., Sprague, R., and Hess, S.C., 2024, Using systematic conservation planning to recover climate resilient habitat for threatened and endangered species while retaining areas of cultural importance: Conservation, v. 4, no. 3, p. 435-451, https://doi.org/10.3390/conservation4030028.","productDescription":"17 p.","startPage":"435","endPage":"451","ipdsId":"IP-131052","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":466966,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/conservation4030028","text":"Publisher Index Page"},{"id":462996,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Leopold, Christina 0000-0003-0499-3196","orcid":"https://orcid.org/0000-0003-0499-3196","contributorId":178961,"corporation":false,"usgs":false,"family":"Leopold","given":"Christina","affiliations":[],"preferred":false,"id":916138,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fortini, Lucas Berio 0000-0002-5781-7295","orcid":"https://orcid.org/0000-0002-5781-7295","contributorId":236984,"corporation":false,"usgs":true,"family":"Fortini","given":"Lucas Berio","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":916139,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sprague, Jonathan","contributorId":240998,"corporation":false,"usgs":false,"family":"Sprague","given":"Jonathan","email":"","affiliations":[{"id":48186,"text":"Pulama Lana‘i","active":true,"usgs":false}],"preferred":false,"id":916140,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sprague, Rachel","contributorId":334926,"corporation":false,"usgs":false,"family":"Sprague","given":"Rachel","email":"","affiliations":[{"id":80285,"text":"Pūulama Lanai","active":true,"usgs":false}],"preferred":false,"id":916141,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hess, Steven C.","contributorId":176679,"corporation":false,"usgs":false,"family":"Hess","given":"Steven","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":916142,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70257747,"text":"70257747 - 2024 - Range-wide salamander densities reveal a key component of terrestrial vertebrate biomass in eastern North American forests","interactions":[],"lastModifiedDate":"2024-08-26T11:56:03.560648","indexId":"70257747","displayToPublicDate":"2024-08-14T06:53:51","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1028,"text":"Biology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Range-wide salamander densities reveal a key component of terrestrial vertebrate biomass in eastern North American forests","docAbstract":"<div class=\"article__body \"><div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>Characterizing the population density of species is a central interest in ecology. Eastern North America is the global hotspot for biodiversity of plethodontid salamanders, an inconspicuous component of terrestrial vertebrate communities, and among the most widespread is the eastern red-backed salamander,<span>&nbsp;</span><i>Plethodon cinereus</i>. Previous work suggests population densities are high with significant geographic variation, but comparisons among locations are challenged by lack of standardization of methods and failure to accommodate imperfect detection. We present results from a large-scale research network that accounts for detection uncertainty using systematic survey protocols and robust statistical models. We analysed mark–recapture data from 18 study areas across much of the species range. Estimated salamander densities ranged from 1950 to 34 300 salamanders ha<sup>−1</sup>, with a median of 9965 salamanders ha<sup>−1</sup>. We compared these results to previous estimates for<span>&nbsp;</span><i>P. cinereus</i><span>&nbsp;</span>and other abundant terrestrial vertebrates. We demonstrate that overall the biomass of<span>&nbsp;</span><i>P. cinereus</i>, a secondary consumer, is of similar or greater magnitude to widespread primary consumers such as white-tailed deer (<i>Odocoileus virginianus</i>) and<span>&nbsp;</span><i>Peromyscus</i><span>&nbsp;</span>mice, and two to three orders of magnitude greater than common secondary consumer species. Our results add empirical evidence that<span>&nbsp;</span><i>P. cinereus</i>, and amphibians in general, are an outsized component of terrestrial vertebrate communities in temperate ecosystems.</p></div></div></div>","language":"English","publisher":"The Royal Society","doi":"10.1098/rsbl.2024.0033","usgsCitation":"Campbell Grant, E.H., Fleming, J.E., Bastiaans, E., Brand, A., Brooks, J., Devlin, C., Epp, K., Evans, M., Fisher-Reid, M., Gratwicke, B., Grayson, K., Haydt, N., Hernandez-Pacheco, R., Hocking, D.J., Hyde, A., Losito, M., MacKnight, M., Matlaga, T., Mead, L., Munoz, D.J., Peterman, W.B., Puza, V., Shafer, C., Sterrett, S., Sutherland, C., Thompson, L.M., Warwick, A.R., Wright, A.D., Yurewicz, K., and Miller, D., 2024, Range-wide salamander densities reveal a key component of terrestrial vertebrate biomass in eastern North American forests: Biology Letters, v. 20, no. 8, https://doi.org/10.1098/rsbl.2024.0033.","ipdsId":"IP-160646","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":494430,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1098/rsbl.2024.0033","text":"External Repository"},{"id":433152,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":911571,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fleming, Jillian Elizabeth 0000-0003-2570-914X","orcid":"https://orcid.org/0000-0003-2570-914X","contributorId":238931,"corporation":false,"usgs":true,"family":"Fleming","given":"Jillian","email":"","middleInitial":"Elizabeth","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":911572,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bastiaans, Elizabeth","contributorId":343640,"corporation":false,"usgs":false,"family":"Bastiaans","given":"Elizabeth","email":"","affiliations":[{"id":82135,"text":"Department of Biology, State University of New York - College at Oneonta,","active":true,"usgs":false}],"preferred":false,"id":911573,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brand, Adrianne 0000-0003-2664-0041","orcid":"https://orcid.org/0000-0003-2664-0041","contributorId":304281,"corporation":false,"usgs":true,"family":"Brand","given":"Adrianne","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":911574,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brooks, Jacey","contributorId":343641,"corporation":false,"usgs":false,"family":"Brooks","given":"Jacey","email":"","affiliations":[{"id":39006,"text":"Frostburg State University","active":true,"usgs":false}],"preferred":false,"id":911575,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Devlin, Catherine","contributorId":343642,"corporation":false,"usgs":false,"family":"Devlin","given":"Catherine","email":"","affiliations":[{"id":82138,"text":"Greenfield Community College","active":true,"usgs":false}],"preferred":false,"id":911576,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Epp, Kristen","contributorId":343643,"corporation":false,"usgs":false,"family":"Epp","given":"Kristen","email":"","affiliations":[{"id":82139,"text":"Department of Biology, Eastern Connecticut State University,","active":true,"usgs":false}],"preferred":false,"id":911577,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Evans, Matt","contributorId":343644,"corporation":false,"usgs":false,"family":"Evans","given":"Matt","email":"","affiliations":[{"id":82140,"text":"National Zoo and Conservation Biology Institute, Department of Herpetology,","active":true,"usgs":false}],"preferred":false,"id":911578,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fisher-Reid, M. Caitlin","contributorId":343645,"corporation":false,"usgs":false,"family":"Fisher-Reid","given":"M. Caitlin","affiliations":[{"id":82141,"text":"Department of Biological Sciences, Bridgewater State University","active":true,"usgs":false}],"preferred":false,"id":911579,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gratwicke, Brian 0000-0002-7332-4060","orcid":"https://orcid.org/0000-0002-7332-4060","contributorId":329542,"corporation":false,"usgs":false,"family":"Gratwicke","given":"Brian","email":"","affiliations":[{"id":78635,"text":"Smithsonian’s National Zoo and Conservation Biology Institute, Center for Species Survival, USA","active":true,"usgs":false}],"preferred":false,"id":911580,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Grayson, Kristine","contributorId":303669,"corporation":false,"usgs":false,"family":"Grayson","given":"Kristine","email":"","affiliations":[{"id":65870,"text":"University of Richmond; Virginia, USA","active":true,"usgs":false}],"preferred":false,"id":911581,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Haydt, Natalie","contributorId":343646,"corporation":false,"usgs":false,"family":"Haydt","given":"Natalie","email":"","affiliations":[{"id":39006,"text":"Frostburg State University","active":true,"usgs":false}],"preferred":false,"id":911582,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hernandez-Pacheco, Raisa","contributorId":343647,"corporation":false,"usgs":false,"family":"Hernandez-Pacheco","given":"Raisa","email":"","affiliations":[{"id":82142,"text":"University of Richmond; California State University","active":true,"usgs":false}],"preferred":false,"id":911583,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hocking, Daniel J.","contributorId":214288,"corporation":false,"usgs":false,"family":"Hocking","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":39006,"text":"Frostburg State University","active":true,"usgs":false}],"preferred":false,"id":911584,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Hyde, Amanda","contributorId":343648,"corporation":false,"usgs":false,"family":"Hyde","given":"Amanda","email":"","affiliations":[{"id":82138,"text":"Greenfield Community College","active":true,"usgs":false}],"preferred":false,"id":911585,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Losito, Michael","contributorId":343649,"corporation":false,"usgs":false,"family":"Losito","given":"Michael","email":"","affiliations":[{"id":82143,"text":"Department of Fisheries, Wildlife and Environmental Science SUNY","active":true,"usgs":false}],"preferred":false,"id":911586,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"MacKnight, Maisie","contributorId":343650,"corporation":false,"usgs":false,"family":"MacKnight","given":"Maisie","email":"","affiliations":[{"id":82144,"text":"Department of Ecosystem Science and Management, Penn State University","active":true,"usgs":false}],"preferred":false,"id":911587,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Matlaga, Tanya","contributorId":343651,"corporation":false,"usgs":false,"family":"Matlaga","given":"Tanya","email":"","affiliations":[{"id":82145,"text":"Department of Biology, Susquehanna University","active":true,"usgs":false}],"preferred":false,"id":911588,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Mead, Louise","contributorId":343652,"corporation":false,"usgs":false,"family":"Mead","given":"Louise","email":"","affiliations":[{"id":82146,"text":"Department of Integrative Biology, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":911589,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Munoz, David J.","contributorId":343653,"corporation":false,"usgs":false,"family":"Munoz","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":82144,"text":"Department of Ecosystem Science and Management, Penn State University","active":true,"usgs":false}],"preferred":false,"id":911590,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Peterman, William B.","contributorId":343654,"corporation":false,"usgs":false,"family":"Peterman","given":"William","email":"","middleInitial":"B.","affiliations":[{"id":82147,"text":"School of Environment and Natural Resources, The Ohio State Uniiversity","active":true,"usgs":false}],"preferred":false,"id":911591,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Puza, Veronica","contributorId":343655,"corporation":false,"usgs":false,"family":"Puza","given":"Veronica","email":"","affiliations":[{"id":82148,"text":"The New Jersey School of Conservation","active":true,"usgs":false}],"preferred":false,"id":911592,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Shafer, Charles 0000-0002-1864-2461 cshafer@usgs.gov","orcid":"https://orcid.org/0000-0002-1864-2461","contributorId":238932,"corporation":false,"usgs":true,"family":"Shafer","given":"Charles","email":"cshafer@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":911593,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Sterrett, Sean","contributorId":274333,"corporation":false,"usgs":false,"family":"Sterrett","given":"Sean","affiliations":[{"id":37062,"text":"UMASS","active":true,"usgs":false}],"preferred":false,"id":911594,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Sutherland, Chris","contributorId":150670,"corporation":false,"usgs":false,"family":"Sutherland","given":"Chris","affiliations":[],"preferred":false,"id":911595,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Thompson, Lily M.","contributorId":343656,"corporation":false,"usgs":false,"family":"Thompson","given":"Lily","email":"","middleInitial":"M.","affiliations":[{"id":82149,"text":"Department of Foresty and Environmental Conservation, Clemson University","active":true,"usgs":false}],"preferred":false,"id":911596,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Warwick, Alexa R.","contributorId":343657,"corporation":false,"usgs":false,"family":"Warwick","given":"Alexa","email":"","middleInitial":"R.","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":911597,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Wright, Alexander D.","contributorId":343658,"corporation":false,"usgs":false,"family":"Wright","given":"Alexander","email":"","middleInitial":"D.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife 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W.","contributorId":332095,"corporation":false,"usgs":false,"family":"Miller","given":"David A. W.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":911600,"contributorType":{"id":1,"text":"Authors"},"rank":30}]}}
,{"id":70257165,"text":"sir20245043 - 2024 - Wildland fire effects on sediment, salinity, and selenium yields in a basin underlain by Cretaceous marine shales near Rangely, Colorado","interactions":[],"lastModifiedDate":"2024-08-21T18:00:17.340563","indexId":"sir20245043","displayToPublicDate":"2024-08-13T16:30:00","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":"2024-5043","displayTitle":"Wildland Fire Effects on Sediment, Salinity, and Selenium Yields in a Basin Underlain by Cretaceous Marine Shales near Rangely, Colorado","title":"Wildland fire effects on sediment, salinity, and selenium yields in a basin underlain by Cretaceous marine shales near Rangely, Colorado","docAbstract":"<p>Understanding and quantifying soil erosion from rangelands is a high priority for land managers, especially in areas underlain by Cretaceous Mancos Shale, which is a natural source of sediment, salinity, and selenium to surface waters in many areas of western Colorado and eastern Utah. The purpose of this report is to present the results of a U.S. Geological Survey study that assessed sediment, salinity, and selenium yields after the Dead Dog wildfire (fire began June 11, 2017) in northwestern Colorado. Two methodologies were used to quantify erosion, with different data requirements and analytical complexity. The first approach was the use of a process-based erosion model, the Watershed Erosion Prediction Project, which uses inputs of climate, topography, vegetation, and soils data from existing datasets to predict erosion, making this approach easily extensible to other areas. The second approach required more complex data collection and was used to measure erosion and deposition by differencing digital elevation models created from uncrewed aerial vehicle imagery collected in 2016 (pre-fire) and 2021 (post-fire). Sediment, salinity, and selenium yields were calculated from the volumetric estimates of erosion from both methods, and a discussion of factors that may have contributed to overall findings, including vegetation, fire effects, and soil characteristics, is included.</p><p>The two approaches yielded different outputs. Results from the Watershed Erosion Prediction Project model indicated that almost no erosion occurred after the Dead Dog fire. However, morphological changes in the study basin after the Dead Dog fire were visible in the pre- and post-fire imagery and measured in the digital elevation model differencing technique, with net erosion occurring in channel and landscape extents, though calculated erosion rates and salinity and selenium yields were relatively small. Visible and measured morphological changes consisted primarily of incision and deposition within stream channels and rill incision and expansion on steeper slopes. Widespread sheet erosion was not evident. Much of the new erosion originated within, and immediately below, previously vegetated areas that were then burned by the wildfire. Greater erosion rates and salinity and selenium yields were measured in the channel extent relative to the landscape extent. Calculated erosion rates ranged from 0.24 to 0.45 megagrams per hectare per year. These results indicate that the Dead Dog fire resulted in increased erosion in the study basin, yet these effects were relatively small based on the overall magnitude of modeled and measured erosion from the Watershed Erosion Prediction Project and the digital elevation model differencing technique. Minimal erosion in the basin is likely due to local site characteristics typical of soils derived from Mancos Shale, including the presence of robust physical crusts and biological soil crusts, and limitations of the methods based on data availability. Focusing uncrewed aerial vehicle flights on key areas (individual steep slopes, high-intensity burn areas, specific stream reaches) could likely increase understanding of erosional process with less effort and error than doing landscape-level flights.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245043","collaboration":"Prepared in cooperation with the Bureau of Land Management","usgsCitation":"Day, N.K., Preston, T.M., and Longley, P.C., 2024, Wildland fire effects on sediment, salinity, and selenium yields in a basin underlain by Cretaceous marine shales near Rangely, Colorado: U.S. Geological Survey Scientific Investigations Report 2024–5043, 31 p., https://doi.org/10.3133/sir20245043.","productDescription":"Report: vi, 31 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-144341","costCenters":[{"id":191,"text":"Colorado Water Science 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data release","linkHelpText":"Erosion rates and salinity and selenium yields in a basin near Rangely, Colorado following the 2017 Dead Dog wildfire as modeled by WEPP and measured from UAV"},{"id":432610,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5043/sir20245043.xml"},{"id":432609,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5043/images"}],"country":"United States","state":"Colorado","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -108.99103575578066,\n              40.20515709262918\n            ],\n            [\n              -108.99103575578066,\n              40.015728339502004\n            ],\n            [\n              -108.68461550797593,\n              40.015728339502004\n            ],\n            [\n              -108.68461550797593,\n              40.20515709262918\n            ],\n            [\n              -108.99103575578066,\n              40.20515709262918\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/co-water/\" data-mce-href=\"https://www.usgs.gov/centers/co-water/\">Colorado Water Science Center</a><br>U.S. Geological Survey<br>Box 25046, Mail Stop 415<br>Denver, CO 80225</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Approach and Methods </li><li>Assessment of Sediment, Salinity, and Selenium Yields</li><li>Synthesis of Results and Next Steps</li><li>Summary</li><li>Acknowledgments </li><li>References Cited</li></ul>","publishedDate":"2024-08-13","noUsgsAuthors":false,"publicationDate":"2024-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Day, Natalie K. 0000-0002-8768-5705","orcid":"https://orcid.org/0000-0002-8768-5705","contributorId":207302,"corporation":false,"usgs":true,"family":"Day","given":"Natalie","middleInitial":"K.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":909635,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Preston, Todd M. 0000-0002-8812-9233","orcid":"https://orcid.org/0000-0002-8812-9233","contributorId":204676,"corporation":false,"usgs":true,"family":"Preston","given":"Todd","email":"","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":909636,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Longley, Patrick C. 0000-0001-8767-5577","orcid":"https://orcid.org/0000-0001-8767-5577","contributorId":268147,"corporation":false,"usgs":true,"family":"Longley","given":"Patrick","email":"","middleInitial":"C.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909637,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70257042,"text":"sir20245022 - 2024 - Monitoring and simulation of hydrology, suspended sediment, and nutrients in selected tributary watersheds of Lake Erie, New York","interactions":[],"lastModifiedDate":"2026-02-03T18:05:12.063702","indexId":"sir20245022","displayToPublicDate":"2024-08-13T11:55:00","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":"2024-5022","displayTitle":"Monitoring and Simulation of Hydrology, Suspended Sediment, and Nutrients in Selected Tributary Watersheds of Lake Erie, New York","title":"Monitoring and simulation of hydrology, suspended sediment, and nutrients in selected tributary watersheds of Lake Erie, New York","docAbstract":"<p>The U.S. Geological Survey, in cooperation with Erie County, New York, the New York State Department of Environmental Conservation, and the Great Lakes Restoration Initiative, collected water-quality samples in nine selected New York tributaries to Lake Erie, computed estimates of suspended sediment and nutrient loads using the R scripting package rloadest and used the Soil and Water Assessment Tool (SWAT) to simulate hydrology and suspended sediment and nutrient loads from these tributaries. This project was undertaken to better understand the water quality of New York’s inputs into eastern Lake Erie.</p><p>Water-quality samples for suspended sediment, nitrogen, and phosphorus were collected at 19 sampling sites in the Lake Erie Basin in New York. Daily and monthly suspended sediment and nutrient loads were computed with regressions of streamflow and suspended sediment and nutrient concentrations using rloadest.</p><p>SWAT models of nine watersheds were created using publicly available data; and the loads calculated by rloadest. Twenty-six SWAT model scenarios were created to explore the effects that best management practices (BMPs; 21 scenarios), point source discharges (4 scenarios), and green infrastructure (1 scenario) can have on the water quality of the nine tributaries to Lake Erie. BMP scenarios for the watershed models included combinations of agricultural BMPs applied at varying implementation levels across the study watersheds, including cover crops, reduced tillage, nutrient management plans, and filter strips. The BMP scenarios showed small reductions of total nitrogen and total phosphorus. The scenarios have variable suspended sediment load results, with both increases and decreases of sediment modeled. The point source scenarios result in lower total phosphorus loads. The green infrastructure scenario shows only minimal reduction of suspended sediment and nutrient loads from the Buffalo River watershed but shows substantial reductions locally.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245022","collaboration":"Prepared in cooperation with Erie County, New York, the New York State Department of Environmental Conservation, and the Great Lakes Restoration Initiative","usgsCitation":"Merriman, K.R., Fisher, B.N., Nystrom, E.A., Bunch, A.R., Welk, R.J., and Kappel, W.M., 2024, Monitoring and simulation of hydrology, suspended sediment, and nutrients in selected tributary watersheds of Lake Erie, New York: U.S. Geological Survey Scientific Investigations Report 2024–5022, 152 p., https://doi.org/10.3133/sir20245022.","productDescription":"Report: xii, 152 p.; 2 Data Releases","numberOfPages":"152","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-142479","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":432349,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5022/images/"},{"id":432347,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245022/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5022 HTML"},{"id":432346,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5022/sir20245022.pdf","text":"Report","size":"49.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5022 PDF"},{"id":432345,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5022/coverthb.jpg"},{"id":432350,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9N6IQZT","text":"USGS data release","linkHelpText":"Data and rloadest models used to estimate sediment and nutrient loads in selected New York tributaries to eastern Lake Erie"},{"id":499450,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117172.htm","linkFileType":{"id":5,"text":"html"}},{"id":432351,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9U2IF5I","text":"USGS data release","linkHelpText":"SWAT Model Archive for Simulation of Hydrology, Suspended Sediment and Nutrients in Selected Tributary Watersheds of Lake Erie, New York"},{"id":432348,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5022/sir20245022.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2024-5022 XML"}],"country":"United States","state":"New York","otherGeospatial":"Lake Erie watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n     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and Validation</li><li>SWAT Model Results</li><li>Model Limitations</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Sensitivity Analysis of Soil and Water Assessment Tool Model Parameters</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2024-08-13","noUsgsAuthors":false,"publicationDate":"2024-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Merriman, Katherine R. 0000-0002-1303-2410","orcid":"https://orcid.org/0000-0002-1303-2410","contributorId":203352,"corporation":false,"usgs":true,"family":"Merriman","given":"Katherine","email":"","middleInitial":"R.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisher, Benjamin N. 0000-0003-1308-1906","orcid":"https://orcid.org/0000-0003-1308-1906","contributorId":220916,"corporation":false,"usgs":true,"family":"Fisher","given":"Benjamin","email":"","middleInitial":"N.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nystrom, Elizabeth A. 0000-0002-0886-3439 nystrom@usgs.gov","orcid":"https://orcid.org/0000-0002-0886-3439","contributorId":1072,"corporation":false,"usgs":true,"family":"Nystrom","given":"Elizabeth","email":"nystrom@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909268,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bunch, Aubrey R. 0000-0002-2453-3624 aurbunch@usgs.gov","orcid":"https://orcid.org/0000-0002-2453-3624","contributorId":4351,"corporation":false,"usgs":true,"family":"Bunch","given":"Aubrey","email":"aurbunch@usgs.gov","middleInitial":"R.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909269,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Welk, Robert J. 0000-0003-0852-5584","orcid":"https://orcid.org/0000-0003-0852-5584","contributorId":202876,"corporation":false,"usgs":true,"family":"Welk","given":"Robert J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":909270,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kappel, William M. 0000-0002-2382-9757 wkappel@usgs.gov","orcid":"https://orcid.org/0000-0002-2382-9757","contributorId":1074,"corporation":false,"usgs":true,"family":"Kappel","given":"William","email":"wkappel@usgs.gov","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909271,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70257115,"text":"dr1199 - 2024 - Developing version 2 of satellite-estimated precipitation monthly reports for selected locations in the Republic of the Marshall Islands","interactions":[],"lastModifiedDate":"2026-01-27T17:33:44.344417","indexId":"dr1199","displayToPublicDate":"2024-08-13T11:41:16","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1199","displayTitle":"Developing Version 2 of Satellite-Estimated Precipitation Monthly Reports for Selected Locations in the Republic of the Marshall Islands","title":"Developing version 2 of satellite-estimated precipitation monthly reports for selected locations in the Republic of the Marshall Islands","docAbstract":"The Republic of the Marshall Islands (RMI; also known as the Marshall Islands) is a nation of more than 30 low-lying atolls and islands, most of which are inhabited, dispersed across an Exclusive Economic Zone over 770,000 square miles in the tropical central north Pacific Ocean. The study objectives and methods were originally presented in U.S. Geological Survey Data Report 1181 and are summarized herein. Monitoring environmental conditions for potential drought risk is challenging in such a dispersed island nation, and current drought hazard products provide generalities regarding conditions on a broad geographic scale. In 2022–23, a team of U.S. Geological Survey scientists, and managers of natural resources and natural hazards in the RMI, used Integrated Multi-satellitE Retrievals for Global Precipitation Measurement satellite estimates of precipitation to develop content and a template for timely monthly reporting of precipitation for 23 inhabited atolls and islands. After a year of report production and user feedback, the team incorporated lessons learned and revised user priorities to update the content and layout of the template. This data report describes the collaboration process and results of revising the report content and layout into version 2 of the monthly satellite-estimated precipitation report.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1199","usgsCitation":"Senay, G.B., Helweg, D.A., Kagone, S., Cecere, T., Eastmond, T., Koch, A., Nelson, K., and Jack, R., 2024, Developing version 2 of satellite-estimated precipitation monthly reports for selected locations in the Republic of the Marshall Islands: U.S. Geological Survey Data Report 1199, 5 p., https://doi.org/10.3133/dr1199.","productDescription":"Repoort: v, 5 p.; Data Release","numberOfPages":"16","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-165909","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":499109,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117173.htm","linkFileType":{"id":5,"text":"html"}},{"id":432440,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1199/full"},{"id":432439,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1199/images/"},{"id":432434,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1199/coverthb.jpg"},{"id":432441,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90J1426","text":"USGS data release","linkHelpText":"Monthly satellite-estimated precipitation reports for the Republic of the Marshall Islands (ver. 2.0, February 2024)"},{"id":432436,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1199/dr1199.XML"},{"id":432435,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1199/dr1199.pdf","text":"Report","size":"793 kB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1199"}],"otherGeospatial":"Marshall Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              162.8861369517378,\n              13.791877936345344\n            ],\n            [\n              162.8861369517378,\n              3.8606298266441286\n            ],\n            [\n              173.2572307017365,\n              3.8606298266441286\n            ],\n            [\n              173.2572307017365,\n              13.791877936345344\n            ],\n            [\n              162.8861369517378,\n              13.791877936345344\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/eros\" href=\"https://www.usgs.gov/centers/eros\">Earth Resources Observation and Science Center</a><br>U.S. Geological Survey<br>47914 252nd Street<br>Sioux Falls, SD 57198</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2024-08-13","noUsgsAuthors":false,"publicationDate":"2024-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":909461,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Helweg, David A. 0000-0002-8640-9856","orcid":"https://orcid.org/0000-0002-8640-9856","contributorId":221111,"corporation":false,"usgs":true,"family":"Helweg","given":"David A.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":909462,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kagone, Stefanie 0000-0002-2979-4655","orcid":"https://orcid.org/0000-0002-2979-4655","contributorId":216913,"corporation":false,"usgs":true,"family":"Kagone","given":"Stefanie","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":909463,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cecere, Thomas 0000-0001-5254-8404 tcecere@usgs.gov","orcid":"https://orcid.org/0000-0001-5254-8404","contributorId":221727,"corporation":false,"usgs":true,"family":"Cecere","given":"Thomas","email":"tcecere@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":909464,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eastmond, Tiare","contributorId":304080,"corporation":false,"usgs":false,"family":"Eastmond","given":"Tiare","email":"","affiliations":[{"id":25469,"text":"U.S. Agency for International Development","active":true,"usgs":false}],"preferred":false,"id":909469,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Koch, Amy","contributorId":304081,"corporation":false,"usgs":false,"family":"Koch","given":"Amy","email":"","affiliations":[{"id":65354,"text":"USDA Natural Resources Conservation Service","active":true,"usgs":false}],"preferred":false,"id":909470,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nelson, Kurtis 0000-0003-4911-4511 knelson@usgs.gov","orcid":"https://orcid.org/0000-0003-4911-4511","contributorId":3602,"corporation":false,"usgs":true,"family":"Nelson","given":"Kurtis","email":"knelson@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":909465,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Randon, Jack","contributorId":342007,"corporation":false,"usgs":false,"family":"Randon","given":"Jack","email":"","affiliations":[{"id":65963,"text":"Ministry of Natural Resources and Commerce, Republic of the Marshall Islands","active":true,"usgs":false}],"preferred":false,"id":909471,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70263804,"text":"70263804 - 2024 - Fish size structures in lakes of the Lower Mississippi River floodplain","interactions":[],"lastModifiedDate":"2025-02-25T15:18:18.696211","indexId":"70263804","displayToPublicDate":"2024-08-13T09:13:57","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Fish size structures in lakes of the Lower Mississippi River floodplain","docAbstract":"<ol class=\"\"><li>The Lower Mississippi River has a floodplain that includes &gt;1350 perennial lakes carved by shifts in river courses and other hydro-fluvial processes over eons. Notwithstanding their similar provenances, these waterbodies exhibit an immense variety of morphologies and successional stages that illustrate their natural trajectory from aquatic to forested wetlands. A result of this geographical, morphological and temporal diversity is dynamic and varied fish communities. We examined how size structures of fish communities in these floodplain lakes were associated with key in-lake and off-lake environmental drivers.</li><li>Fish lengths were collected with standardised procedures in a sample of 30 of these lakes to construct a lake-by-length group matrix. Likewise, in-lake and off-lake environmental descriptors were collected to construct a lake-by-covariate matrix. Distance-based linear models were used to assess associations between fish size structure and environmental descriptors.</li><li>Smaller fish were typically associated with increasing levels of turbidity, chlorophyll-<i>a</i>, phycocyanin and surrounding agriculture. Shallow, hypereutrophic floodplain lakes associated with agricultural landscapes and reduced connectivity experience harsh physicochemical environments. These conditions appeared to hinder the formation of sustained fish communities but may confer a survival advantage to juveniles or small short-lived species. Conversely, larger fish were associated with increasing lake depth, water clarity, connectivity, and extent of surrounding forests-wetlands. Enhanced stability and size structure were observed in communities residing in deeper and clearer lakes, suggesting that these conditions facilitated the development of longer-lived species spanning multiple age groups. The enhanced connectivity that facilitated this increased stability also permitted the presence of larger itinerant species.</li><li>Size-structure assessments can serve as a valuable ecological and biodiversity indicator in floodplain lakes.</li><li>Size-structure assessments could supplement and, depending on objectives, even supplant conventional taxonomic analyses, and enhance surveillance of this vast and important natural resource.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/fwb.14313","usgsCitation":"Miranda, L.E., and Dembkowski, D., 2024, Fish size structures in lakes of the Lower Mississippi River floodplain: Freshwater Biology, v. 69, no. 10, p. 1390-1398, https://doi.org/10.1111/fwb.14313.","productDescription":"9 p.","startPage":"1390","endPage":"1398","ipdsId":"IP-161581","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":482441,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Louisiana, Mississippi, Missouri, Tennessee","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.42422555551806,\n              37.11747567598016\n            ],\n            [\n              -90.97390221584965,\n              37.04144127940464\n            ],\n            [\n              -92.58621074174947,\n              33.10588945297861\n            ],\n            [\n              -92.45243908525825,\n              29.099651301594108\n            ],\n            [\n              -89.06436076922489,\n              29.11098036129748\n            ],\n            [\n              -89.09009988261171,\n              32.8776191962395\n            ],\n            [\n              -88.42422555551806,\n              37.11747567598016\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"69","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":928353,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dembkowski, D.J.","contributorId":351300,"corporation":false,"usgs":false,"family":"Dembkowski","given":"D.J.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":928354,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70257572,"text":"70257572 - 2024 - Large-scale dam removal and ecosystem restoration","interactions":[],"lastModifiedDate":"2024-09-10T13:17:13.749365","indexId":"70257572","displayToPublicDate":"2024-08-13T08:13:44","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Large-scale dam removal and ecosystem restoration","docAbstract":"<p><span>Rivers underpin vital ecosystems that support aquatic and terrestrial biodiversity and many ecosystem services, including food, water, culture, and recreation (</span>Dudgeon et al. 2006<span>). After centuries of building dams on rivers across the world, river restoration via dam removal is receiving increased public attention, financial investment, and scientific study because of various issues of regarding dam infrastructure, such as obsolescence, sedimentation, and ecosystem degradation (</span>Duda and Bellmore, 2022<span>;&nbsp;</span>East and Grant, 2023<span>). Most dam removal projects to date have focused on smaller structures, but larger structures &gt; 10 m tall have also started to be removed in increasing numbers. Recent estimates suggest that only a small fraction of all dam removals have been scientifically studied, with most focused on small dams and short time scales (</span>Bellmore et&nbsp;al., 2016<span>). Understanding the outcomes of large dam removal, where case studies are much more limited, depends on sustained research and monitoring efforts aimed at understanding restoration processes over large spatial and temporal scales (</span>Figure&nbsp;1<span>). The ecological and socio-ecological study of large dam removal represents a new frontier in dam removal research: projects are larger, more recent, and provide an opportunity to understand the complex ecological changes and impacts to humans that occur with these transformative restoration projects.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fevo.2024.1471146","usgsCitation":"McCaffery, R.M., Duda, J.J., Soissons, L., and Roussel, J., 2024, Large-scale dam removal and ecosystem restoration: Frontiers in Ecology and Evolution, v. 12, 1471146, 6 p., https://doi.org/10.3389/fevo.2024.1471146.","productDescription":"1471146, 6 p.","ipdsId":"IP-167494","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":439215,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2024.1471146","text":"Publisher Index Page"},{"id":433658,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","noUsgsAuthors":false,"publicationDate":"2024-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"McCaffery, Rebecca M. 0000-0002-0396-0387","orcid":"https://orcid.org/0000-0002-0396-0387","contributorId":211539,"corporation":false,"usgs":true,"family":"McCaffery","given":"Rebecca","middleInitial":"M.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":910888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duda, Jeffrey J. 0000-0001-7431-8634 jduda@usgs.gov","orcid":"https://orcid.org/0000-0001-7431-8634","contributorId":148954,"corporation":false,"usgs":true,"family":"Duda","given":"Jeffrey","email":"jduda@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":910889,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Soissons, Laura","contributorId":343380,"corporation":false,"usgs":false,"family":"Soissons","given":"Laura","email":"","affiliations":[{"id":81705,"text":"INRAe","active":true,"usgs":false}],"preferred":false,"id":910890,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roussel, Jean-Marc","contributorId":343381,"corporation":false,"usgs":false,"family":"Roussel","given":"Jean-Marc","email":"","affiliations":[{"id":81705,"text":"INRAe","active":true,"usgs":false}],"preferred":false,"id":910891,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70257296,"text":"70257296 - 2024 - Redistribution of debris-flow sediment following severe wildfire and floods in the Jemez Mountains, New Mexico, USA","interactions":[],"lastModifiedDate":"2024-10-30T21:41:50.825406","indexId":"70257296","displayToPublicDate":"2024-08-13T06:49:56","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Redistribution of debris-flow sediment following severe wildfire and floods in the Jemez Mountains, New Mexico, USA","docAbstract":"<p>Severe fire on steep slopes increases stormwater runoff and the occurrence of runoff-initiated debris flows. Predicting locations of debris flows and their downstream effects on trunk streams requires watershed-scale high-resolution topographic data. Intense precipitation in July and September 2013 following the June 2011 Las Conchas Fire in the Jemez Mountains, New Mexico, led to widespread debris flows in the watershed of Rito de los Frijoles. We differenced lidar Digital Elevation Models (DEMs) collected in 2010 and 2016 to map subwatersheds experiencing debris flows and changes in elevation of the trunk stream. Debris flow occurrence was well predicted by previous assessments of debris-flow hazard; debris flows occurred in 7 of 9 sub-basins where the debris-flow hazard was above 60% for the 25-year rainfall event, and in 0 of 21 basins where debris flow hazard was less than 60%. Debris flows resulted in fan deposition at the confluence with the trunk stream followed by transport during three documented floods. The bed of the 22 km trunk stream increased in elevation by a mean of 0.29 m, but the local change in thalweg elevation was controlled by inputs of water and sediment and longitudinal variation in gradient. Downstream of the mouths of tributaries with debris flows, the thalweg of the trunk stream rose as much as 2&nbsp;m. Downstream of the mouths of tributaries without debris flows the thalweg of the main stem degraded by as much as 2&nbsp;m, mobilizing sediment that was then deposited further downstream where the gradient of the trunk stream decreases. In conclusion, the transport of sediment generated by debris flows was predictably related to spatial variation in sediment supply, discharge and gradient.</p>","language":"English","publisher":"Wiley","doi":"10.1002/esp.5964","usgsCitation":"Friedman, J.M., Tillery, A.C., Alfieri, S.J., Skaggs, E.R., Shafroth, P., and Allen, C., 2024, Redistribution of debris-flow sediment following severe wildfire and floods in the Jemez Mountains, New Mexico, USA: Earth Surface Processes and Landforms, v. 49, no. 13, p. 4263-4274, https://doi.org/10.1002/esp.5964.","productDescription":"12 p.; Data Release","startPage":"4263","endPage":"4274","ipdsId":"IP-156621","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":499236,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp.5964","text":"Publisher Index Page"},{"id":434915,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1RFRU9T","text":"USGS data release","linkHelpText":"Elevation change in the watershed of Rito de los Frijoles, Bandelier National Monument, New Mexico from 2010 to 2016"},{"id":432752,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Jemez Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -107.61483704481206,\n              36.569202251890104\n            ],\n            [\n              -107.61483704481206,\n              35.28806357199453\n            ],\n            [\n              -105.60419519739077,\n              35.28806357199453\n            ],\n            [\n              -105.60419519739077,\n              36.569202251890104\n            ],\n            [\n              -107.61483704481206,\n              36.569202251890104\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"49","issue":"13","noUsgsAuthors":false,"publicationDate":"2024-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Friedman, Jonathan M. 0000-0002-1329-0663","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":44495,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":909903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tillery, Anne C. 0000-0002-9508-7908 atillery@usgs.gov","orcid":"https://orcid.org/0000-0002-9508-7908","contributorId":2549,"corporation":false,"usgs":true,"family":"Tillery","given":"Anne","email":"atillery@usgs.gov","middleInitial":"C.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909904,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alfieri, Samuel J.","contributorId":329742,"corporation":false,"usgs":false,"family":"Alfieri","given":"Samuel","email":"","middleInitial":"J.","affiliations":[{"id":78705,"text":"self","active":true,"usgs":false}],"preferred":false,"id":909905,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Skaggs, Elizabeth Rachaelann 0000-0001-9672-641X","orcid":"https://orcid.org/0000-0001-9672-641X","contributorId":342031,"corporation":false,"usgs":true,"family":"Skaggs","given":"Elizabeth","email":"","middleInitial":"Rachaelann","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":909906,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":225182,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":909907,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Allen, Craig D.","contributorId":289211,"corporation":false,"usgs":false,"family":"Allen","given":"Craig D.","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":909908,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70270090,"text":"70270090 - 2024 - Developing, testing, and communicating earthquake forecasts: Current practices and future directions","interactions":[],"lastModifiedDate":"2025-08-08T15:07:40.812629","indexId":"70270090","displayToPublicDate":"2024-08-13T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3283,"text":"Reviews of Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Developing, testing, and communicating earthquake forecasts: Current practices and future directions","docAbstract":"<p><span>While deterministically predicting the time and location of earthquakes remains impossible, earthquake forecasting models can provide estimates of the probabilities of earthquakes occurring within some region over time. To enable informed decision-making of civil protection, governmental agencies, or the public, Operational Earthquake Forecasting (OEF) systems aim to provide authoritative earthquake forecasts based on current earthquake activity in near-real time. Establishing OEF systems involves several nontrivial choices. This review captures the current state of OEF worldwide and analyzes expert recommendations on the development, testing, and communication of earthquake forecasts. An introductory summary of OEF-related research is followed by a description of OEF systems in Italy, New Zealand, and the United States. Combined, these two parts provide an informative and transparent snapshot of today's OEF landscape. In Section 4, we analyze the results of an expert elicitation that was conducted to seek guidance for the establishment of OEF systems. The elicitation identifies consensus and dissent on OEF issues among a non-representative group of 20 international earthquake forecasting experts. While the experts agree that communication products should be developed in collaboration with the forecast user groups, they disagree on whether forecasting models and testing methods should be user-dependent. No recommendations of strict model requirements could be elicited, but benchmark comparisons, prospective testing, reproducibility, and transparency are encouraged. Section 5 gives an outlook on the future of OEF. Besides covering recent research on earthquake forecasting model development and testing, upcoming OEF initiatives are described in the context of the expert elicitation findings.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023RG000823","usgsCitation":"Mizrahi, L., Dallo, I., van der Elst, N., Christophersen, A., Spassiani, I., Werner, M.J., Iturrieta, P., Bayona, J., Iervolino, I., Schneider, M., Page, M.T., Zhuang, J., Herrmann, M., Michael, A.J., Falcone, G., Marzocchi, W., Rhoades, D.A., Gerstenberger, M., Gulia, L., Schorlemmer, D., Becker, J., Han, M., Kuratle, L., Marti, M., and Wiemer, S., 2024, Developing, testing, and communicating earthquake forecasts: Current practices and future directions: Reviews of Geophysics, v. 63, no. 3, e2023RG000823, 70 p., https://doi.org/10.1029/2023RG000823.","productDescription":"e2023RG000823, 70 p.","ipdsId":"IP-164941","costCenters":[{"id":237,"text":"Earthquake Science 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,{"id":70260465,"text":"70260465 - 2024 - Effects of temporal hydrologic shifts on the population biology of an endangered freshwater fish in a dryland river ecosystem","interactions":[],"lastModifiedDate":"2024-11-04T17:47:39.059629","indexId":"70260465","displayToPublicDate":"2024-08-12T11:41:01","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":862,"text":"Aquatic Conservation: Marine and Freshwater Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Effects of temporal hydrologic shifts on the population biology of an endangered freshwater fish in a dryland river ecosystem","docAbstract":"<p><span>Species occupying dryland river ecosystems often experience “boom-and-bust” demographic cycles that coincide with shifts in habitat availability. Knowing whether declines are within natural thresholds versus those caused by acute human disturbance is critical for managing protected species. We investigated temporal shifts in abundance and habitat use of an endangered population of the threespine stickleback&nbsp;</span><i>Gasterosteus aculeatus</i><span>&nbsp;in southern California, where a Mediterranean climate leads to ephemeral habitat in one of the regions' least hydrologically modified rivers, the Santa Clara River. We conducted population surveys over a period of below-average rainfall in the upper watershed in Soledad Canyon, with predefined reaches surveyed multiple times per year to capture different hydrologic conditions. Abundances were stable across years but varied significantly depending on location, with some reaches remaining dry and others drying seasonally to varying degrees. Occupancy models showed that the presence of stable perennial reaches, drying regime, and other site-specific factors were important predictors of habitat use, and that certain reaches may be key to ensuring source-sink dynamics as flow dissipates over the dry season. Low occupancy in two sections was driven by different predominant mechanisms, one by diel cycles of evapotranspiration and the other by cattails (</span><i>Typha</i><span>&nbsp;spp.), with both having greater effects during the hotter, drier parts of the year. As dryland river ecosystems are vulnerable to the effects of anthropogenic-induced climate change, this study demonstrates how temporal monitoring can delimit dry-state benchmarks for improving management interventions (i.e., translocation and habitat restoration) for protected species under conditions that are predicted to worsen in the coming years.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/aqc.4211","usgsCitation":"Richmond, J.Q., Gould, P.R., Pareti, J., Aitken, A., Morrissette, E., Backlin, A.R., Dellith, C., and Fisher, R., 2024, Effects of temporal hydrologic shifts on the population biology of an endangered freshwater fish in a dryland river ecosystem: Aquatic Conservation: Marine and Freshwater Ecosystems, v. 34, no. 8, e4211, 13 p., https://doi.org/10.1002/aqc.4211.","productDescription":"e4211, 13 p.","ipdsId":"IP-166124","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":463600,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Soledad Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -118.40734591539739,\n              34.491979597799684\n            ],\n            [\n              -118.40734591539739,\n              34.36899750284367\n            ],\n            [\n              -118.07881365289235,\n              34.36899750284367\n            ],\n            [\n              -118.07881365289235,\n              34.491979597799684\n            ],\n            [\n              -118.40734591539739,\n              34.491979597799684\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"34","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Richmond, Jonathan Q. 0000-0001-9398-4894 jrichmond@usgs.gov","orcid":"https://orcid.org/0000-0001-9398-4894","contributorId":5400,"corporation":false,"usgs":true,"family":"Richmond","given":"Jonathan","email":"jrichmond@usgs.gov","middleInitial":"Q.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":917752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gould, Philip Robert 0000-0002-8871-0968","orcid":"https://orcid.org/0000-0002-8871-0968","contributorId":294694,"corporation":false,"usgs":true,"family":"Gould","given":"Philip","email":"","middleInitial":"Robert","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":917753,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pareti, Jennifer","contributorId":345858,"corporation":false,"usgs":false,"family":"Pareti","given":"Jennifer","email":"","affiliations":[{"id":54562,"text":"cdfw","active":true,"usgs":false}],"preferred":false,"id":917754,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aitken, Andrew","contributorId":345859,"corporation":false,"usgs":false,"family":"Aitken","given":"Andrew","email":"","affiliations":[{"id":54562,"text":"cdfw","active":true,"usgs":false}],"preferred":false,"id":917755,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morrissette, Eric","contributorId":237012,"corporation":false,"usgs":false,"family":"Morrissette","given":"Eric","email":"","affiliations":[],"preferred":false,"id":917756,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Backlin, Adam R. 0000-0001-5618-8426 abacklin@usgs.gov","orcid":"https://orcid.org/0000-0001-5618-8426","contributorId":3802,"corporation":false,"usgs":true,"family":"Backlin","given":"Adam","email":"abacklin@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":917757,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dellith, Chris","contributorId":139396,"corporation":false,"usgs":false,"family":"Dellith","given":"Chris","email":"","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":917758,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fisher, Robert N. 0000-0002-2956-3240","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":51675,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":917759,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70260464,"text":"70260464 - 2024 - Variation in dietary ecology of two invasive American Bullfrog (Lithobates catesbeianus) populations in Southern California","interactions":[],"lastModifiedDate":"2024-11-05T15:15:40.693376","indexId":"70260464","displayToPublicDate":"2024-08-12T11:24:44","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1892,"text":"Herpetologica","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Variation in dietary ecology of two invasive American Bullfrog (<i>Lithobates catesbeianus</i>) populations in Southern California","title":"Variation in dietary ecology of two invasive American Bullfrog (Lithobates catesbeianus) populations in Southern California","docAbstract":"<p><span>Invasive American Bullfrogs (Lithobates catesbeianus) are a threat to native species in riparian ecosystems worldwide. They are indiscriminate predators consuming both vertebrate and invertebrate prey, negatively affecting biodiversity. Documenting the diet and feeding ecology of invasive L. catesbeianus can help management agencies identify affected species and facilitate eradication efforts. We present a dietary analysis of two invasive L. catesbeianus populations over multiple breeding seasons (2016–2020), elucidating ontogenetic changes in diet and dietary differences between sexes and habitats. This is the first study to analyze dietary variation from contemporary populations of invasive L. catesbeianus occupying different watersheds in Southern California, an area where their invasion presents acute conservation challenges. Our analysis of 667 gut contents shows that adult females had more prey in their guts than adult males, even though male and female body size was not significantly different. Adults were more likely than juveniles to consume vertebrate prey, and juveniles were more likely than adults to have empty stomachs. We also found that invasive Red Swamp Crayfish (Procambarus clarkii), made up a substantial portion of the diet of adult L. catesbeianus at the site where they were present. These results provide an important ecological context for designing mitigation actions that ameliorate the impacts of invasive L. catesbeianus.</span></p>","language":"English","publisher":"The Herpetologists' League","doi":"10.1655/Herpetologica-D-23-00057","usgsCitation":"Smith, N.W., Hanscom, R.J., Richmond, J.Q., Fisher, R., and Clark, R.W., 2024, Variation in dietary ecology of two invasive American Bullfrog (Lithobates catesbeianus) populations in Southern California: Herpetologica, v. 80, no. 3, p. 241-247, https://doi.org/10.1655/Herpetologica-D-23-00057.","productDescription":"7 p.","startPage":"241","endPage":"247","ipdsId":"IP-166137","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":498874,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1655/herpetologica-d-23-00057","text":"Publisher Index 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,{"id":70256978,"text":"tm6A64 - 2024 - Revision of ModelMuse to support the use of PEST software with MODFLOW and SUTRA models","interactions":[],"lastModifiedDate":"2024-08-12T15:36:25.638887","indexId":"tm6A64","displayToPublicDate":"2024-08-12T11:18:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"6-A64","displayTitle":"Revision of ModelMuse to Support the Use of PEST Software With MODFLOW and SUTRA Models","title":"Revision of ModelMuse to support the use of PEST software with MODFLOW and SUTRA models","docAbstract":"<h1>Executive Summary</h1><p>ModelMuse is a graphical user interface for several groundwater modeling programs. ModelMuse was updated to generate the input files for the parameter estimation software suite PEST. The software is used with MODFLOW or SUTRA models to run PEST-based parameter estimation and display the updated model inputs after parameter estimation. The PEST input files can also be used with the PEST++ version 5 software suite.</p><p>Parameter estimation typically requires defining the parameters being adjusted during calibration and observations for assessing calibration quality. After a parameter is defined in ModelMuse, it can be applied to all or part of a model dataset. Pilot points—a parameterization device that facilitates higher levels of parameterization—can be used to assign spatially variable distributions of model inputs. Parameters can be applied to temporally varying features, such as boundary conditions, by either applying them to all the values in a series in one step or by applying separate parameters to individual members of a series. ModelMuse allows the definition of many observation types from various model output files. For MODFLOW 6 and SUTRA models, new options were added to ModelMuse to allow it to display the changed input after parameter estimation is complete. For MODFLOW–2005 and MODFLOW–NWT models, ModelMuse can import an entire model for visualization. An example illustrates the use of PEST with a MODFLOW 6 model in ModelMuse.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm6A64","programNote":"Water Availability and Use Science Program","usgsCitation":"Winston, R.B., 2024, Revision of ModelMuse to support the use of PEST software with MODFLOW and SUTRA models: U.S. Geological Survey Techniques and Methods book 6, chap. A64, 56 p., https://doi.org/10.3133/tm6A64.","productDescription":"Report viii, 56 p.; Software Release","numberOfPages":"56","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-134686","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":497969,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P132ZP7T","text":"USGS data release","linkHelpText":"ModelMuse version 5.4"},{"id":432191,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/06/a64/coverthb.jpg"},{"id":432193,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/tm6A64/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"TM 6-A64 HTML"},{"id":432194,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/tm/06/a64/tm6a64.XML","linkFileType":{"id":8,"text":"xml"},"description":"TM 6-A64 XML"},{"id":432192,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/06/a64/tm6a64.pdf","text":"Report","size":"9.88 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 6-A64 PDF"},{"id":432195,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/tm/06/a64/images/"},{"id":432196,"rank":6,"type":{"id":35,"text":"Software Release"},"url":"https://doi.org/10.5066/P1AZMVXV","text":"USGS software release","linkHelpText":"- ModelMuse: A Graphical User Interface for Groundwater Models (version 5.3.0.0)"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/mission-areas/water-resources/integrated-modeling-and-prediction-division\" data-mce-href=\"https://www.usgs.gov/mission-areas/water-resources/integrated-modeling-and-prediction-division\">Integrated Modeling and Prediction Division</a><br>Water Resources Mission Area<br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston VA, 20192</p><p>Email: <a href=\"mailto:modflow@usgs.gov\" data-mce-href=\"mailto:modflow@usgs.gov\">modflow@usgs.gov</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Executive Summary</li><li>Introduction</li><li>Installing PEST</li><li>Using Parameters With Datasets</li><li>Using PEST Parameters With Model Features</li><li>PEST Calibration Observations</li><li>PEST Control Variables</li><li>Running PEST</li><li>Using SVD-Assist</li><li>Visualizing Residuals</li><li>Visualizing Modified Model Input</li><li>Limitations</li><li>Example</li><li>Summary</li><li>References Cited</li><li>Appendix 1. \"EnhancedTemplateProcessor\"</li><li>Appendix 2. \"Mf6ObsExtractor\"</li><li>Appendix 3. \"Mf2005ObsExtractor\"</li><li>Appendix 4. \"SutraObsExtractor\"</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2024-08-12","noUsgsAuthors":false,"publicationDate":"2024-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Winston, Richard B. 0000-0002-6287-8834 rbwinst@usgs.gov","orcid":"https://orcid.org/0000-0002-6287-8834","contributorId":3567,"corporation":false,"usgs":true,"family":"Winston","given":"Richard","email":"rbwinst@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":909055,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70257555,"text":"70257555 - 2024 - Population genetic structure and demographic history reconstruction of introduced flathead catfish (Pylodictis olivaris) in two US Mid-Atlantic rivers","interactions":[],"lastModifiedDate":"2024-09-06T18:18:10.540344","indexId":"70257555","displayToPublicDate":"2024-08-12T11:04:59","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"title":"Population genetic structure and demographic history reconstruction of introduced flathead catfish (Pylodictis olivaris) in two US Mid-Atlantic rivers","docAbstract":"<p><span>Population genetic analysis of invasive populations can provide valuable insights into the source of introductions, pathways for expansion, and their demographic histories. Flathead catfish (</span><i>Pylodictis olivaris</i><span>) are a prolific invasive species with high fecundity, long-distance dispersal, and piscivorous feeding habits that can lead to declines in native fish populations. In this study, we analyse the genetics of invasive&nbsp;</span><i>P. olivaris</i><span>&nbsp;in the Mid-Atlantic region to assess their connectivity and attempt to reconstruct the history of introduced populations. Based on an assessment across 13 microsatellite loci,&nbsp;</span><i>P. olivaris</i><span>&nbsp;from the Susquehanna River system (</span><i>N</i><span> = 537), Schuylkill River (</span><i>N</i><span> = 33), and Delaware River (</span><i>N</i><span> = 1) have low genetic diversity (global&nbsp;</span><i>H</i><sub>obs</sub><span> = 0.504), although we detected no evidence of substantial inbreeding (</span><i>F</i><sub>IS</sub><span> = −0.083 to 0.022).&nbsp;</span><i>P. olivaris</i><span>&nbsp;from these different river systems were genetically distinct, suggesting separate introductions. However, population structure was much weaker within each river system and exhibited a pattern of high connectivity, with some evidence of isolation by distance.&nbsp;</span><i>P. olivaris</i><span>&nbsp;from the Susquehanna and Schuylkill rivers showed evidence for recent genetic bottlenecks, and demographic models were consistent with historical records, which suggest that populations were established by recent founder events consisting of a small number of individuals. Our results show the risk posed by small introductions of&nbsp;</span><i>P. olivaris</i><span>, which can spread widely once a population is established, and highlight the importance of prevention and sensitive early detection methods to prevent the spread of&nbsp;</span><i>P. olivaris</i><span>&nbsp;in the future.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jfb.15888","usgsCitation":"Waraniak, J., Eackles, M., Keagy, J., Smith, G., Schall, M., Stark, S., White, S.L., Kazyak, D.C., and Wagner, T., 2024, Population genetic structure and demographic history reconstruction of introduced flathead catfish (Pylodictis olivaris) in two US Mid-Atlantic rivers: Journal of Fish Biology, 14 p., https://doi.org/10.1111/jfb.15888.","productDescription":"14 p.","ipdsId":"IP-164536","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":439216,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jfb.15888","text":"Publisher Index Page"},{"id":433579,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, New Jersey, Pennsylvania","noUsgsAuthors":false,"publicationDate":"2024-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Waraniak, Justin","contributorId":343350,"corporation":false,"usgs":false,"family":"Waraniak","given":"Justin","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":910810,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eackles, Michael S.","contributorId":343352,"corporation":false,"usgs":false,"family":"Eackles","given":"Michael S.","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":910811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keagy, Jason","contributorId":343355,"corporation":false,"usgs":false,"family":"Keagy","given":"Jason","email":"","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":910812,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Geoffrey D.","contributorId":343358,"corporation":false,"usgs":false,"family":"Smith","given":"Geoffrey D.","affiliations":[{"id":36966,"text":"Pennsylvania Fish and Boat Commission","active":true,"usgs":false}],"preferred":false,"id":910813,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schall, Megan","contributorId":343361,"corporation":false,"usgs":false,"family":"Schall","given":"Megan","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":910814,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stark, Sydney","contributorId":343364,"corporation":false,"usgs":false,"family":"Stark","given":"Sydney","email":"","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":910815,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"White, Shannon L. 0000-0003-4687-6596","orcid":"https://orcid.org/0000-0003-4687-6596","contributorId":263424,"corporation":false,"usgs":true,"family":"White","given":"Shannon","email":"","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":910816,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kazyak, David C. 0000-0001-9860-4045","orcid":"https://orcid.org/0000-0001-9860-4045","contributorId":140409,"corporation":false,"usgs":true,"family":"Kazyak","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":910817,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":910818,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70257446,"text":"70257446 - 2024 - Origin of the Laurentian Great Lakes fish fauna through upward adaptive radiation cascade prior to the Last Glacial Maximum","interactions":[],"lastModifiedDate":"2024-08-16T14:37:01.715279","indexId":"70257446","displayToPublicDate":"2024-08-12T09:30:39","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5729,"text":"Communications Biology","active":true,"publicationSubtype":{"id":10}},"title":"Origin of the Laurentian Great Lakes fish fauna through upward adaptive radiation cascade prior to the Last Glacial Maximum","docAbstract":"<p><span>The evolutionary histories of adaptive radiations can be marked by dramatic demographic fluctuations. However, the demographic histories of ecologically-linked co-diversifying lineages remain understudied. The Laurentian Great Lakes provide a unique system of two such radiations that are dispersed across depth gradients with a predator-prey relationship. We show that the North American&nbsp;</span><i>Coregonus</i><span>&nbsp;species complex (“ciscoes”) radiated rapidly prior to the Last Glacial Maximum (80–90 kya), a globally warm period, followed by rapid expansion in population size. Similar patterns of demographic expansion were observed in the predator species, Lake Charr (</span><i>Salvelinus namaycush</i><span>), following a brief time lag, which we hypothesize was driven by predator-prey dynamics. Diversification of prey into deep water created ecological opportunities for the predators, facilitating their demographic expansion, which is consistent with an upward adaptive radiation cascade. This study provides a new timeline and environmental context for the origin of the Laurentian Great Lakes fish fauna, and firmly establishes this system as drivers of ecological diversification and rapid speciation through cyclical glaciation.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s42003-024-06503-z","usgsCitation":"Backenstose, N.J., MacGuigan, D.J., Osborne, C.A., Bernal, M.A., Thomas, E.K., Normandeau, E., Yule, D.L., Stott, W., Ackiss, A.S., Albert, V.A., Bernatchez, L., and Krabbenhoft, T.J., 2024, Origin of the Laurentian Great Lakes fish fauna through upward adaptive radiation cascade prior to the Last Glacial Maximum: Communications Biology, v. 7, 978, 10 p., https://doi.org/10.1038/s42003-024-06503-z.","productDescription":"978, 10 p.","ipdsId":"IP-146271","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":439217,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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Buffalo","active":true,"usgs":false}],"preferred":false,"id":910423,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Osborne, Christopher A.","contributorId":342823,"corporation":false,"usgs":false,"family":"Osborne","given":"Christopher","email":"","middleInitial":"A.","affiliations":[{"id":37334,"text":"University at Buffalo","active":true,"usgs":false}],"preferred":false,"id":910424,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bernal, Moises A.","contributorId":342826,"corporation":false,"usgs":false,"family":"Bernal","given":"Moises","email":"","middleInitial":"A.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":910425,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thomas, Elizabeth K.","contributorId":342829,"corporation":false,"usgs":false,"family":"Thomas","given":"Elizabeth","email":"","middleInitial":"K.","affiliations":[{"id":37334,"text":"University at Buffalo","active":true,"usgs":false}],"preferred":false,"id":910426,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Normandeau, Eric","contributorId":342831,"corporation":false,"usgs":false,"family":"Normandeau","given":"Eric","email":"","affiliations":[{"id":34605,"text":"Universite Laval","active":true,"usgs":false}],"preferred":false,"id":910427,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yule, Daniel L. 0000-0002-0117-5115","orcid":"https://orcid.org/0000-0002-0117-5115","contributorId":248693,"corporation":false,"usgs":true,"family":"Yule","given":"Daniel","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":910428,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stott, Wendylee 0000-0002-5252-4901","orcid":"https://orcid.org/0000-0002-5252-4901","contributorId":242990,"corporation":false,"usgs":false,"family":"Stott","given":"Wendylee","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":910429,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ackiss, Amanda Susanne 0000-0002-8726-7423","orcid":"https://orcid.org/0000-0002-8726-7423","contributorId":272165,"corporation":false,"usgs":true,"family":"Ackiss","given":"Amanda","email":"","middleInitial":"Susanne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":910430,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Albert, Victor A.","contributorId":342834,"corporation":false,"usgs":false,"family":"Albert","given":"Victor","email":"","middleInitial":"A.","affiliations":[{"id":37334,"text":"University at Buffalo","active":true,"usgs":false}],"preferred":false,"id":910431,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bernatchez, Louis","contributorId":206583,"corporation":false,"usgs":false,"family":"Bernatchez","given":"Louis","email":"","affiliations":[{"id":37344,"text":"GIROQ","active":true,"usgs":false}],"preferred":false,"id":910432,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Krabbenhoft, Trevor J.","contributorId":176498,"corporation":false,"usgs":false,"family":"Krabbenhoft","given":"Trevor","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":910433,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70269012,"text":"70269012 - 2024 - Resource availability and heterogeneity affect space use and resource selection of a feral ungulate","interactions":[],"lastModifiedDate":"2025-07-14T14:00:14.633286","indexId":"70269012","displayToPublicDate":"2024-08-12T08:56:36","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Resource availability and heterogeneity affect space use and resource selection of a feral ungulate","docAbstract":"<p><span>Animals adjust their habitat use patterns in response to changes in their physiological needs and environmental conditions. Understanding the mechanisms underlying resource selection and space use across time and space reveals effects of the environment on animals' decisions. We explored the effects of habitat availability and heterogeneity on the seasonal and annual space use and resource selection of two free-roaming feral burro (</span><i>Equus asinus</i><span>) populations in the United States within distinct climate and habitat conditions: the Sonoran Desert and the Colorado Plateau. As an introduced yet protected species in the United States, understanding burros' interactions with habitat elements is important for their conservation and management, as well as the conservation of sympatric wildlife. We used GPS locations of female burros (72 animals across both study areas) to delineate annual and seasonal ranges and resource selection patterns. We evaluated effects of mean and CV of habitat covariates, including forage, distance to water, and topography, representing availability and heterogeneity of resources, on seasonal and annual range size of burros. Moreover, we explored how burro seasonal and annual resource selection patterns were affected by availability and heterogeneity of resources. In the Sonoran Desert study area, burros had smaller seasonal and annual ranges and constant resource selection patterns across a year, likely due to a freshwater lake in the area, making water a nonlimiting resource. Human presence was the greatest factor affecting range size and resource selection in the Sonoran Desert, where burros selected for areas near roads and human recreation. In the Colorado Plateau study area, where resources were more seasonal, we found larger range sizes and fluctuating resource selection patterns compared to the Sonoran Desert population. Spatial variation in forage, water, and topography significantly affected range size of burros inhabiting the Colorado Plateau study area. Productive habitats with available water support smaller ranges and a more consistent pattern of resource selection. Our results highlight the positive effect of habitat heterogeneity and the negative effect of habitat productivity on range size of animals. Our findings contribute to an improved understanding of habitat requirements for free-roaming burros that currently live under various climate and habitat conditions globally.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4939","usgsCitation":"Esmaeili, S., Schoenecker, K., and King, S., 2024, Resource availability and heterogeneity affect space use and resource selection of a feral ungulate: Ecosphere, v. 15, no. 8, e4939, 20 p., https://doi.org/10.1002/ecs2.4939.","productDescription":"e4939, 20 p.","ipdsId":"IP-153427","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":492799,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13MFVTY","text":"USGS data release","linkHelpText":"GPS Locations of Free-roaming Burros in Utah and Arizona, USA, 2016 to 2020"},{"id":492484,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4939","text":"Publisher Index Page"},{"id":492196,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Utah","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -109.63118021467946,\n              40.045928302382094\n            ],\n            [\n              -114.22692865710385,\n              40.045928302382094\n            ],\n            [\n              -114.22692865710385,\n              32.61704200752979\n            ],\n            [\n              -109.63118021467946,\n              32.61704200752979\n            ],\n            [\n              -109.63118021467946,\n              40.045928302382094\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Esmaeili, Saeideh","contributorId":357957,"corporation":false,"usgs":false,"family":"Esmaeili","given":"Saeideh","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":942906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schoenecker, Kathryn A. 0000-0001-9906-911X","orcid":"https://orcid.org/0000-0001-9906-911X","contributorId":202531,"corporation":false,"usgs":true,"family":"Schoenecker","given":"Kathryn A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":942907,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"King, Sarah","contributorId":357959,"corporation":false,"usgs":false,"family":"King","given":"Sarah","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":942908,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70257571,"text":"70257571 - 2024 - Body mass changes of dabbling and diving ducks wintering in California","interactions":[],"lastModifiedDate":"2024-10-23T16:09:54.735869","indexId":"70257571","displayToPublicDate":"2024-08-12T08:18:06","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Body mass changes of dabbling and diving ducks wintering in California","docAbstract":"<p><span>Bird body mass is often used as an index of body condition and fluctuates throughout the year in response to environmental conditions and avian life-history events. We examined the body mass of 59,572 ducks representing 13 species (7 dabbling duck species and 6 diving duck species) harvested within the 3 regions of the Central Valley in California, USA (Sacramento Valley, Suisun Marsh, San Joaquin Valley). Data collection occurred in winter during 5 hunting seasons (2014–2015, 2015–2016, 2017–2018, 2018–2019, 2019–2020). For all species, age, and sex classes, the body mass of dabbling ducks varied temporally and was lowest at the end of the hunting season in late January, declining from the beginning of the hunting season in mid-October (northern pintail [</span><i>Anas acuta</i><span>]: −11.4% to −20.4%; northern shoveler [</span><i>Spatula clypeata</i><span>]: −3.5% to −17.3%; cinnamon teal [</span><i>Anas cyanoptera</i><span>]: −5.0% to −17.1%; American wigeon [</span><i>Mareca americana</i><span>]: −6.9% to −12.2%; American green-winged teal [</span><i>Anas carolinensis</i><span>]: −5.9% to −11.9%; mallard [</span><i>Anas platyrhynchos</i><span>]: −1.8% to −9.6%; gadwall [</span><i>Mareca strepera</i><span>]: −2.2% to −8.4%). As expected, adults (after hatch-year) were heavier than immature (hatch-year) birds (within males: 0.6–8.6%; within females: 0.1–6.6%) and males were heavier than females (within adults: 3.1–38.6%; within immatures: 5.4–33.5%) at the end of the hunting season in all species. Within dabbling duck species, body masses did not differ among regions at the beginning of the hunting season but were heavier in the Sacramento Valley (0.5–14.4%) than other areas by the end of the hunting season. In contrast, body masses of diving ducks did not vary substantially during the hunting season or among regions. Diving ducks demonstrated inconsistent changes in mass from the beginning to the end of the season (lesser scaup [</span><i>Aythya affinis</i><span>]: 3.4% to 12.3%; canvasback [</span><i>Aythya valisineria</i><span>]: 5.1% to 6.1%; bufflehead [</span><i>Bucephala albeola</i><span>]: −3.2% to 1.6%; ring-necked duck [</span><i>Aythya collaris</i><span>]: −4.9% to 2.6%; common goldeneye [</span><i>Bucephala clangula</i><span>]: −3.2% to −2.4%; ruddy duck [</span><i>Oxyura jamaicensis</i><span>]: −16.5% to 5.5%). The substantial temporal and spatial differences in dabbling duck body masses suggest that habitat quality (as measured by caloric value of the available food) or quantity may decline during winter and varies regionally within California's Central Valley.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22650","usgsCitation":"Herzog, M.P., Ackerman, J.T., Kohl, J.D., Fettig, B.L., Hartman, C.A., Peterson, S.H., Casazza, M.L., and Fleskes, J.P., 2024, Body mass changes of dabbling and diving ducks wintering in California: Journal of Wildlife Management, v. 88, no. 8, e22650, 44 p.; Data Release, https://doi.org/10.1002/jwmg.22650.","productDescription":"e22650, 44 p.; Data Release","ipdsId":"IP-160170","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":439219,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22650","text":"Publisher Index Page"},{"id":434916,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1DE5DWE","text":"USGS data release","linkHelpText":"Body Mass of Dabbling and Diving Ducks Harvested in California"},{"id":433659,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.28563521712458,\n              39.53932856280372\n            ],\n            [\n              -122.14605714076728,\n              38.055035283143305\n            ],\n            [\n              -121.60106551029111,\n              36.66561595429475\n            ],\n            [\n              -119.81149821520499,\n              36.674324107924164\n            ],\n            [\n              -120.11382598668808,\n              39.545986542507165\n            ],\n            [\n              -122.28563521712458,\n              39.53932856280372\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"88","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Herzog, Mark P. 0000-0002-5203-2835 mherzog@usgs.gov","orcid":"https://orcid.org/0000-0002-5203-2835","contributorId":131158,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark","email":"mherzog@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":912848,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":202848,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":910887,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kohl, Jeffrey D. 0000-0003-0921-7460","orcid":"https://orcid.org/0000-0003-0921-7460","contributorId":206562,"corporation":false,"usgs":true,"family":"Kohl","given":"Jeffrey","email":"","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":912849,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fettig, Brady Lynn 0000-0002-3124-2606","orcid":"https://orcid.org/0000-0002-3124-2606","contributorId":302106,"corporation":false,"usgs":true,"family":"Fettig","given":"Brady","email":"","middleInitial":"Lynn","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":912850,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hartman, C. Alex 0000-0002-7222-1633 chartman@usgs.gov","orcid":"https://orcid.org/0000-0002-7222-1633","contributorId":131157,"corporation":false,"usgs":true,"family":"Hartman","given":"C.","email":"chartman@usgs.gov","middleInitial":"Alex","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":912851,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peterson, Sarah H. 0000-0003-2773-3901 sepeterson@usgs.gov","orcid":"https://orcid.org/0000-0003-2773-3901","contributorId":167181,"corporation":false,"usgs":true,"family":"Peterson","given":"Sarah","email":"sepeterson@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":912852,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":912853,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fleskes, Joseph P. 0000-0001-5388-6675 joe_fleskes@usgs.gov","orcid":"https://orcid.org/0000-0001-5388-6675","contributorId":177154,"corporation":false,"usgs":true,"family":"Fleskes","given":"Joseph","email":"joe_fleskes@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":912854,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70257169,"text":"70257169 - 2024 - Estimating traffic volume and road age in Wyoming to inform resource management planning: An application with wildlife-vehicle collisions","interactions":[],"lastModifiedDate":"2024-08-13T11:53:07.427511","indexId":"70257169","displayToPublicDate":"2024-08-12T06:49:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Estimating traffic volume and road age in Wyoming to inform resource management planning: An application with wildlife-vehicle collisions","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab010\" class=\"abstract author\"><div id=\"as010\"><p id=\"sp0010\">Road networks and their associated vehicular traffic disturb many terrestrial systems, but inventories of roads used to assess these effects often focus on the ‘where’ (e.g., local road type and density) and neglect the ‘when’ (e.g., temporal disturbance) or ‘how much’ (e.g., traffic volume disturbance). We developed annual estimates of the ‘when’ (road age) and ‘how much’ (vehicular traffic volume) across 148,172&nbsp;km of highways, arterials, collectors, local, and gravel/graded roads within the state of Wyoming for the years 1986 to 2020 to provide a comprehensive dataset for future ecological investigations. We leveraged a suite of ancillary data on surface disturbances (e.g., oil &amp; gas drilling operations, wind turbines, and open pit mines) with known establishment dates and combined them using graph theory and centrality metrics to estimate the age of each road. We then predicted traffic volume obtained from the Wyoming Department of Transportation for each year across Wyoming using a machine learning method, XGBoost, and a separate set of spatial covariates hypothesized to explain traffic patterns across large regions. We found that 132,476&nbsp;km of these roads likely existed before 1986, but that 16,693&nbsp;km (10.7&nbsp;%) of roads have been built since 1986. Overall, our estimates of road age were 89&nbsp;% accurate when assessed on a subset of 1,330 roads with high-resolution aerial imagery. Mean absolute error for predicting traffic volume ranged from 35.2 to 77.9 annual average daily traffic (aadt) for trucks and 269.2 to 516.7 aadt for all-vehicles across the 35&nbsp;years. We found that mean traffic volume across the state increased by 23&nbsp;% for both truck-only traffic and all vehicular traffic from 1986 to 2020. However, changes in traffic volume have varied substantially across the state (e.g., 100&nbsp;% increases in volume in some areas, while other areas experienced declines of up to 1,786&nbsp;%). We also illustrate a novel application of these data by predicting rates of reported wildlife-vehicle collisions (WVCs) along a subset of roads. We found evidence of a non-linear relationship that supported a threshold hypothesis for WVCs, wherein increases in traffic volume equate to increases in WVCs up to a threshold, above which increases in traffic volume result in declines in WVCs. The data provided here will enable better-informed studies of road ecology to address how roads may affect wildlife populations and key ecosystems across Wyoming.</p></div></div></div><div id=\"reading-assistant\"><br></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2024.112410","usgsCitation":"Inman, R.D., Robb, B.S., O’Donnell, M.S., Edmunds, D.R., Holloran, M.J., and Aldridge, C.L., 2024, Estimating traffic volume and road age in Wyoming to inform resource management planning: An application with wildlife-vehicle collisions: Ecological Indicators, v. 116, 112410, 16 p., https://doi.org/10.1016/j.ecolind.2024.112410.","productDescription":"112410, 16 p.","ipdsId":"IP-160311","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":439220,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2024.112410","text":"Publisher Index Page"},{"id":434917,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P137JNBY","text":"USGS data release","linkHelpText":"Wyoming road age and traffic volume estimated with machine learning and graph theory"},{"id":432590,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.2956874510852,\n              45.047857996699065\n            ],\n            [\n              -111.2956874510852,\n              40.93586770301263\n            ],\n            [\n              -103.95682026358479,\n              40.93586770301263\n            ],\n            [\n              -103.95682026358479,\n              45.047857996699065\n            ],\n            [\n              -111.2956874510852,\n              45.047857996699065\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"116","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Inman, Richard D. 0000-0002-1982-7791 rdinman@usgs.gov","orcid":"https://orcid.org/0000-0002-1982-7791","contributorId":187754,"corporation":false,"usgs":true,"family":"Inman","given":"Richard","email":"rdinman@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":909647,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robb, Benjamin Seward 0000-0003-1419-3918","orcid":"https://orcid.org/0000-0003-1419-3918","contributorId":328990,"corporation":false,"usgs":true,"family":"Robb","given":"Benjamin","email":"","middleInitial":"Seward","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":909648,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Donnell, Michael S. 0000-0002-3488-003X odonnellm@usgs.gov","orcid":"https://orcid.org/0000-0002-3488-003X","contributorId":140876,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Michael","email":"odonnellm@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":909649,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edmunds, David R. 0000-0002-5212-8271 dedmunds@usgs.gov","orcid":"https://orcid.org/0000-0002-5212-8271","contributorId":152210,"corporation":false,"usgs":true,"family":"Edmunds","given":"David","email":"dedmunds@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":909650,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Holloran, Matthew J 0000-0001-5244-770X","orcid":"https://orcid.org/0000-0001-5244-770X","contributorId":254954,"corporation":false,"usgs":false,"family":"Holloran","given":"Matthew","email":"","middleInitial":"J","affiliations":[{"id":51367,"text":"Operational Conservation LLC","active":true,"usgs":false}],"preferred":false,"id":909651,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":909652,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70257168,"text":"70257168 - 2024 - Riverine dissolved organic matter transformations increase with watershed area, water residence time, and Damköhler numbers in nested watersheds","interactions":[],"lastModifiedDate":"2024-10-30T21:45:30.268282","indexId":"70257168","displayToPublicDate":"2024-08-12T06:38:19","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Riverine dissolved organic matter transformations increase with watershed area, water residence time, and Damköhler numbers in nested watersheds","docAbstract":"<p>Quantifying the relative influence of factors and processes controlling riverine ecosystem function is essential to predicting future conditions under global change. Dissolved organic matter (DOM) is a fundamental component of riverine ecosystems that fuels microbial food webs, influences nutrient and light availability, and represents a significant carbon flux globally. The heterogeneous nature of DOM molecular composition and its propensity for interaction (i.e., functional diversity) can characterize riverine ecosystem function across spatiotemporal scales. To investigate fundamental drivers of DOM diversity, we collected seasonal water samples from 42 nested locations within five watersheds spanning multiple watershed sizes (~5 to 30,000 km2) across the United States. Patterns in DOM molecular richness, aromaticity, relative abundance of N-containing formulas, and putative biochemical transformations derived from high-resolution mass spectrometry were assessed across gradients of explanatory variables associated with watershed characteristics (e.g., watershed area, water residence time, land cover). We found that putative biochemical transformations were more strongly related to explanatory variables across watersheds than common bulk DOM parameters and that watershed area, surface water residence time and derived Damköhler numbers representing DOM reactivity timescales were strong predictors of DOM diversity. The data also indicate that catchment-specific land cover factors can significantly influence DOM diversity in diverging directions. Overall, the results highlight the importance of considering water residence time and land cover when interpreting longitudinal patterns in DOM chemistry and the continued challenge of identifying generalizable drivers that are transferable across watershed and regional scales for application in Earth system models. This work also introduces a Findable Accessible Interoperable Reusable (FAIR) dataset (&gt;300 samples) to the community for future syntheses.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10533-024-01169-5","usgsCitation":"Ryan, K.A., Garayburu-Caruso, V., Crump, B., Bambakidis, T., Raymond, P., Liu, S., and Stegen, J., 2024, Riverine dissolved organic matter transformations increase with watershed area, water residence time, and Damköhler numbers in nested watersheds: Biogeochemistry, v. 167, p. 1203-1224, https://doi.org/10.1007/s10533-024-01169-5.","productDescription":"22 p.","startPage":"1203","endPage":"1224","ipdsId":"IP-162266","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":439221,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10533-024-01169-5","text":"Publisher Index Page"},{"id":432589,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"167","noUsgsAuthors":false,"publicationDate":"2024-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Ryan, Kevin Alexander 0000-0003-1202-3616","orcid":"https://orcid.org/0000-0003-1202-3616","contributorId":331030,"corporation":false,"usgs":true,"family":"Ryan","given":"Kevin","email":"","middleInitial":"Alexander","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garayburu-Caruso, Vanessa","contributorId":342100,"corporation":false,"usgs":false,"family":"Garayburu-Caruso","given":"Vanessa","email":"","affiliations":[{"id":27560,"text":"PNNL","active":true,"usgs":false}],"preferred":false,"id":909641,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Crump, Byron","contributorId":342101,"corporation":false,"usgs":false,"family":"Crump","given":"Byron","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":909642,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bambakidis, Ted","contributorId":342102,"corporation":false,"usgs":false,"family":"Bambakidis","given":"Ted","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":909643,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Raymond, Peter","contributorId":342103,"corporation":false,"usgs":false,"family":"Raymond","given":"Peter","affiliations":[{"id":37550,"text":"Yale University","active":true,"usgs":false}],"preferred":false,"id":909644,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liu, Shaoda","contributorId":342106,"corporation":false,"usgs":false,"family":"Liu","given":"Shaoda","affiliations":[{"id":81838,"text":"Bejing Normal University","active":true,"usgs":false}],"preferred":false,"id":909645,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stegen, James","contributorId":342108,"corporation":false,"usgs":false,"family":"Stegen","given":"James","affiliations":[{"id":27560,"text":"PNNL","active":true,"usgs":false}],"preferred":false,"id":909646,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70257452,"text":"70257452 - 2024 - It's about time: A multistate semicontinuous time mark–recapture model to evaluate seasonal survival and movement rates of juvenile Coho Salmon in a small coastal watershed","interactions":[],"lastModifiedDate":"2024-09-23T16:24:43.833305","indexId":"70257452","displayToPublicDate":"2024-08-11T10:30:55","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"It's about time: A multistate semicontinuous time mark–recapture model to evaluate seasonal survival and movement rates of juvenile Coho Salmon in a small coastal watershed","docAbstract":"<h3 id=\"tafs10471-sec-2001-title\" class=\"article-section__sub-title section1\">Objective</h3><p>Many mark–recapture models assume that releases and recaptures are discrete events, and researchers often aggregate continuous recapture data (e.g., passive integrated transponder [PIT] detections) into coarse temporal scales to satisfy this assumption. This temporal discretization could result in parameter biases by ignoring the individual heterogeneity in the time susceptible to mortality after recapture and the conditions experienced (e.g., temperature and predation risk) before and after recapture. Our objectives were to (1) estimate the amount of bias in survival and emigration rates due to different temporal discretization durations when recapture events occur continuously and (2) apply this semicontinuous model to estimate rates of early emigration and overwinter survival for Coho Salmon<span>&nbsp;</span><i>Oncorhynchus kisutch</i><span>&nbsp;</span>in a coastal California watershed.</p><h3 id=\"tafs10471-sec-2002-title\" class=\"article-section__sub-title section1\">Methods</h3><p>We developed a semicontinuous time multistate mark–recapture model to separately estimated emigration and survival rates throughout the year. We used weekly time-varying occasions paired with discrete spatial states and conducted extensive simulation trials to explore potential model bias. We then applied the model to an existing 4-year dataset of Coho Salmon PIT tag detections.</p><h3 id=\"tafs10471-sec-2003-title\" class=\"article-section__sub-title section1\">Result</h3><p>Our simulations indicated that that the amount of bias in survival and movement rates decreased as the temporal discretization duration decreased. The confidence interval of the bias estimates included zero with a duration of 8 days, indicating that this duration was sufficiently short to model movement and survival. Results from our Coho Salmon analysis suggest that overwinter survival rate ranged from 0.72 to 0.83, which is higher than previous estimates for Coho Salmon in this region. We estimate that a substantial proportion of smaller juveniles (0.21–0.28 annually) move to downstream nonnatal rearing habitats before the spring smolt migration.</p><h3 id=\"tafs10471-sec-2004-title\" class=\"article-section__sub-title section1\">Conclusion</h3><p>Our semicontinuous modeling approach can be implemented relatively easily and used to analyze continuous detection data to accurately estimate survival and movement rates. Our analysis of Coho Salmon PIT tag detections implies that previous low estimates of apparent overwinter survival of Coho Salmon were partially due to high movement rates to alternative rearing locations. This contrasts with conclusions from the previous research that suggested that overwinter survival was a major limiting factor for population recovery and implies that species recovery may be improved by considering multiple emigration patterns in the design of future research, monitoring, and restoration projects.</p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10471","usgsCitation":"Van Vleet, N.P., Ward, D., Som, N.A., Barton, D.C., Anderson, C., and Henderson, M., 2024, It's about time: A multistate semicontinuous time mark–recapture model to evaluate seasonal survival and movement rates of juvenile Coho Salmon in a small coastal watershed: Transactions of the American Fisheries Society, v. 153, no. 5, p. 541-558, https://doi.org/10.1002/tafs.10471.","productDescription":"18 p.","startPage":"541","endPage":"558","ipdsId":"IP-155645","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":439222,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/tafs.10471","text":"Publisher Index Page"},{"id":433668,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Freshwater Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -124.16553732037661,\n              40.822354187176614\n            ],\n            [\n              -124.16553732037661,\n              40.688724809582\n            ],\n            [\n              -123.9770464919041,\n              40.688724809582\n            ],\n            [\n              -123.9770464919041,\n              40.822354187176614\n            ],\n            [\n              -124.16553732037661,\n              40.822354187176614\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"153","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-08-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Van Vleet, Nicholas P.","contributorId":342870,"corporation":false,"usgs":false,"family":"Van Vleet","given":"Nicholas","email":"","middleInitial":"P.","affiliations":[{"id":37071,"text":"California State Polytechnic University","active":true,"usgs":false}],"preferred":false,"id":910459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ward, Darren","contributorId":342871,"corporation":false,"usgs":false,"family":"Ward","given":"Darren","affiliations":[{"id":37071,"text":"California State Polytechnic University","active":true,"usgs":false}],"preferred":false,"id":910460,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Som, Nicholas A.","contributorId":203773,"corporation":false,"usgs":false,"family":"Som","given":"Nicholas","email":"","middleInitial":"A.","affiliations":[{"id":36713,"text":"Statistician, USFWS - Arcata Fisheries Program, Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":910461,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barton, Daniel C.","contributorId":88221,"corporation":false,"usgs":true,"family":"Barton","given":"Daniel","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":910462,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, Colin","contributorId":342879,"corporation":false,"usgs":false,"family":"Anderson","given":"Colin","email":"","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":910463,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Henderson, Mark J. 0000-0002-2861-8668 mhenderson@usgs.gov","orcid":"https://orcid.org/0000-0002-2861-8668","contributorId":198609,"corporation":false,"usgs":true,"family":"Henderson","given":"Mark J.","email":"mhenderson@usgs.gov","affiliations":[],"preferred":false,"id":910464,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70257275,"text":"70257275 - 2024 - A heuristic method to evaluate consequences for flight control and stability induced by attachment of biologging devices to birds and bats","interactions":[],"lastModifiedDate":"2024-09-11T16:23:57.562467","indexId":"70257275","displayToPublicDate":"2024-08-11T07:06:26","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":"A heuristic method to evaluate consequences for flight control and stability induced by attachment of biologging devices to birds and bats","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><ol class=\"\"><li>Biologging is central to the study of wildlife, but questions remain about the minimization of effects of biologging devices. Rarely considered are changes biologging devices induce on an animal's centre of mass (COM) and resulting losses of flight control and stability.</li><li>We applied established aeronautical principles to estimate how the COM of a flying bird or bat may be affected by the typical positioning of a biologging device on the neck, back, hips or tail. We then adopted modified thresholds from aerospace engineering to estimate limits beyond which changes to COM result in fitness-relevant alterations to flight control and stability.</li><li>Generic models illustrate a trade-off between the placement and mass of a biologging device that influences flight control and stability. Seven species-specific examples show the substantial differences in consequences of changes to COM for animals of different sizes and body types. Placement of a device on the tail always resulted in the greatest shift in COM and placement in the centre of the back resulted in the smallest shift. The 5% weight threshold some use for a biologging device provides little room for error in terms of stability and can easily cause dangerous changes to COM. The 3% weight threshold others use causes considerably smaller changes in the COM, but when placed away from the natural COM, still can affect flight control and stability.</li><li>Researchers interested in minimizing the effects to fitness of wildlife should consider weight, balance and COM when affixing biologging devices. The farther a device is from the natural COM, the smaller it should be relative to the mass of the animal.</li></ol></div></div>","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.14400","usgsCitation":"Katzner, T., and Young, G., 2024, A heuristic method to evaluate consequences for flight control and stability induced by attachment of biologging devices to birds and bats: Methods in Ecology and Evolution, v. 15, no. 9, p. 1553-1560, https://doi.org/10.1111/2041-210X.14400.","productDescription":"8 p.","startPage":"1553","endPage":"1560","ipdsId":"IP-162804","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":439223,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.14400","text":"Publisher Index Page"},{"id":434918,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13SIMMI","text":"USGS data release","linkHelpText":"Expanded dataset of measurements to be used in evaluating consequences for flight control and stability induced by attachment of bio-logging devices to birds and bats"},{"id":432649,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"9","noUsgsAuthors":false,"publicationDate":"2024-08-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":909823,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, George","contributorId":342227,"corporation":false,"usgs":false,"family":"Young","given":"George","email":"","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":909824,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}