{"pageNumber":"162","pageRowStart":"4025","pageSize":"25","recordCount":165270,"records":[{"id":70254508,"text":"70254508 - 2024 - Evaluating the effectiveness of joint species distribution modeling for fresh water fish communities within large watersheds","interactions":[],"lastModifiedDate":"2024-09-11T16:16:33.775409","indexId":"70254508","displayToPublicDate":"2024-05-21T09:43:09","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":"Evaluating the effectiveness of joint species distribution modeling for fresh water fish communities within large watersheds","docAbstract":"<p><span>Accurately predicting species’ distributions is critical for the management and conservation of fish and wildlife populations. Joint Species Distribution Models (JSDMs) account for dependencies between species often ignored by traditional species distribution models. We evaluated how a JSDM approach could improve predictive strength for stream fish communities within large watersheds (the Chesapeake Bay Watershed, USA), using a cross-validation study of JSDMs fit to data from over 50 species. Our results suggest that conditional predictions from JSDMs have the potential to make large improvements in predictive accuracy for many species, particularly for more generalist species where single species models may not perform well. For some species there was no added explanatory effect from conditional information, most of which already exhibited strong marginal predictive ability. For several rare species there were significant improvements in occurrence predictions, while the results for two invasive species considered did not show the same improvements. Overall, the optimal number of species to condition upon, as well as the effects of conditioning upon an increasing number of species, varied widely among species.</span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2023-0385","usgsCitation":"McLaughlin, P., Krause, K., Maloney, K.O., Woods, T., and Wagner, T., 2024, Evaluating the effectiveness of joint species distribution modeling for fresh water fish communities within large watersheds: Canadian Journal of Fisheries and Aquatic Sciences, v. 81, no. 9, p. 1248-1263, https://doi.org/10.1139/cjfas-2023-0385.","productDescription":"16 p.","startPage":"1248","endPage":"1263","ipdsId":"IP-160869","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":486869,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index 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State University","active":true,"usgs":false}],"preferred":false,"id":901674,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krause, Kevin","contributorId":336994,"corporation":false,"usgs":false,"family":"Krause","given":"Kevin","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":901675,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maloney, Kelly O. 0000-0003-2304-0745 kmaloney@usgs.gov","orcid":"https://orcid.org/0000-0003-2304-0745","contributorId":4636,"corporation":false,"usgs":true,"family":"Maloney","given":"Kelly","email":"kmaloney@usgs.gov","middleInitial":"O.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":901676,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woods, Taylor 0000-0002-6277-1260","orcid":"https://orcid.org/0000-0002-6277-1260","contributorId":304097,"corporation":false,"usgs":true,"family":"Woods","given":"Taylor","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":901677,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":901678,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70269881,"text":"70269881 - 2024 - Quantifying intraspecific variation in host resistance ad tolerance to a lethal pathogen","interactions":[],"lastModifiedDate":"2025-08-05T14:16:09.86975","indexId":"70269881","displayToPublicDate":"2024-05-21T09:10:38","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying intraspecific variation in host resistance ad tolerance to a lethal pathogen","docAbstract":"<ol class=\"\"><li>Testing for intraspecific variation for host tolerance or resistance in wild populations is important for informing conservation decisions about captive breeding, translocation, and disease treatment. Here, we test the importance of tolerance and resistance in multiple populations of boreal toads (<i>Anaxyrus boreas boreas</i>) against<span>&nbsp;</span><i>Batrachochytrium dendrobatidis</i><span>&nbsp;</span>(Bd), the amphibian fungal pathogen responsible for the greatest host biodiversity loss due to disease.</li><li>Boreal toads have severely declined in Colorado (CO) due to Bd, but toad populations challenged with Bd in western Wyoming (WY) appear to be less affected. We used a common garden infection experiment to expose post-metamorphic toads sourced from four populations (2 in CO and 2 in WY) to Bd and monitored changes in mass, pathogen burden and survival for 8 weeks. We used a multi-state modelling approach to estimate weekly survival and transition probabilities between infected and cleared states, reflecting a dynamic infection process that traditional approaches fail to capture.</li><li>We found that WY boreal toads are more tolerant to Bd infection with higher survival probabilities than those in CO when infected with identical pathogen burdens. WY toads also appeared more resistant to Bd with a higher probability of infection clearance and an average of 5 days longer to reach peak infection burdens. Our results demonstrate strong intraspecific differences in tolerance and resistance that likely contribute to why population declines vary regionally across this species.</li><li>Our multi-state framework allowed us to gain inference on typically hidden disease processes when testing for host tolerance or resistance. Our findings demonstrate that describing an entire host species as ‘tolerant’ or ‘resistant’ (or lack thereof) is unwise without testing for intraspecific variation.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.14106","usgsCitation":"Hardy, B., Muths, E., Funk, W.C., and Bailey, L.L., 2024, Quantifying intraspecific variation in host resistance ad tolerance to a lethal pathogen: Journal of Animal Ecology, v. 94, no. 3, p. 316-329, https://doi.org/10.1111/1365-2656.14106.","productDescription":"14 p.","startPage":"316","endPage":"329","ipdsId":"IP-155688","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":493782,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2656.14106","text":"Publisher Index Page"},{"id":493545,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.1432172901915,\n              44.15244472185606\n            ],\n            [\n              -111.1432172901915,\n              42.47515045940858\n            ],\n            [\n              -110.02815120277452,\n              42.47515045940858\n            ],\n            [\n              -110.02815120277452,\n              44.15244472185606\n            ],\n            [\n              -111.1432172901915,\n              44.15244472185606\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -106.54871837378977,\n              40.9838676070047\n            ],\n            [\n              -106.54871837378977,\n              40.3683368700095\n            ],\n            [\n              -105.19246311476707,\n              40.3683368700095\n            ],\n            [\n              -105.19246311476707,\n              40.9838676070047\n            ],\n            [\n              -106.54871837378977,\n              40.9838676070047\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"94","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-05-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Hardy, B.","contributorId":359018,"corporation":false,"usgs":false,"family":"Hardy","given":"B.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":944791,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muths, Erin L. 0000-0002-5498-3132","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":245923,"corporation":false,"usgs":true,"family":"Muths","given":"Erin L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":944792,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Funk, W. C.","contributorId":359021,"corporation":false,"usgs":false,"family":"Funk","given":"W.","middleInitial":"C.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":944793,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bailey, L. L.","contributorId":359024,"corporation":false,"usgs":false,"family":"Bailey","given":"L.","middleInitial":"L.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":944794,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70254388,"text":"70254388 - 2024 - Why do avian responses to change in Arctic green-up vary?","interactions":[],"lastModifiedDate":"2024-05-22T12:02:49.137806","indexId":"70254388","displayToPublicDate":"2024-05-21T07:01:13","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"title":"Why do avian responses to change in Arctic green-up vary?","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Global climate change has altered the timing of seasonal events (i.e., phenology) for a diverse range of biota. Within and among species, however, the degree to which alterations in phenology match climate variability differ substantially. To better understand factors driving these differences, we evaluated variation in timing of nesting of eight Arctic-breeding shorebird species at 18 sites over a 23-year period. We used the Normalized Difference Vegetation Index as a proxy to determine the start of spring (SOS) growing season and quantified relationships between SOS and nest initiation dates as a measure of phenological responsiveness. Among species, we tested four life history traits (migration distance, seasonal timing of breeding, female body mass, expected female reproductive effort) as species-level predictors of responsiveness. For one species (Semipalmated Sandpiper), we also evaluated whether responsiveness varied across sites. Although no species in our study completely tracked annual variation in SOS, phenological responses were strongest for Western Sandpipers, Pectoral Sandpipers, and Red Phalaropes. Migration distance was the strongest additional predictor of responsiveness, with longer-distance migrant species generally tracking variation in SOS more closely than species that migrate shorter distances. Semipalmated Sandpipers are a widely distributed species, but adjustments in timing of nesting relative to variability in SOS did not vary across sites, suggesting that different breeding populations of this species were equally responsive to climate cues despite differing migration strategies. Our results unexpectedly show that long-distance migrants are more sensitive to local environmental conditions, which may help them to adapt to ongoing changes in climate.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.17335","usgsCitation":"Tavera, E.A., Lank, D.B., Douglas, D.C., Sandercock, B., Lanctot, R., Schmidt, N., Reneerkens, J., Ward, D.H., Bety, J., Kwon, E., Lecomte, N., Gratto-Trevor, C.L., Smith, P.A., English, W.B., Saalfeld, S.T., Brown, S.C., Gates, H.R., Nol, E., Liebezeit, J.R., McGuire, R.L., McKinnon, L., Kendall, S., Robards, M.D., Boldenow, M., Payer, D.C., Rausch, J., Soloviev, M., Solovyeva, D.V., Zack, S., Stalwick, J., and Gurney, K.E., 2024, Why do avian responses to change in Arctic green-up vary?, v. 30, no. 5, e17335, 16 p., https://doi.org/10.1111/gcb.17335.","productDescription":"e17335, 16 p.","ipdsId":"IP-155948","costCenters":[{"id":65299,"text":"Alaska Science Center 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,{"id":70254387,"text":"70254387 - 2024 - Pockmarks offshore Big Sur, California provide evidence for recurrent, regional, and unconfined sediment gravity flows","interactions":[],"lastModifiedDate":"2024-05-22T11:49:20.904943","indexId":"70254387","displayToPublicDate":"2024-05-21T06:44:29","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6470,"text":"Journal of Geophysical Research, Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Pockmarks offshore Big Sur, California provide evidence for recurrent, regional, and unconfined sediment gravity flows","docAbstract":"<div class=\"article-section__content en main\"><p>Recent surface ship multibeam surveys of the Sur Pockmark Field, offshore Central California, reveal &gt;5,000 pockmarks in an area that is slated to host a wind farm, between 500- and 1,500-m water depth. Extensive fieldwork was conducted to characterize the seafloor environment and its recent geologic history, including visual observations with remotely operated vehicles, sediment core sampling, and high-resolution, near-bottom Chirp and multibeam surveys collected with autonomous underwater vehicles to capture the morphology and stratigraphy of the pockmarks. No evidence of high methane concentrations in sediments, chemosynthetic biological communities, or methane-derived diagenetic byproducts was found. Chirp data and sediment cores showed alternating layers of slowly accumulating hemipelagic drapes interrupted by more reflective turbidite horizons that extend throughout the pockmark field and beyond. Chirp data showed multiple episodes of lateral migration over time in some of the pockmarks in association with erosion and infilling events. Laterally continuous turbidite horizons that overlay erosional surfaces indicated that pockmark migration occurred synchronously in multiple pockmarks separated by tens of kilometers. These shifts are presumed to be the result of asymmetrical erosion of the pockmark flanks caused by passing sediment gravity flows. While some pockmarks occur in chains, most are not clustered or randomly spaced but are regularly dispersed within the pockmark field. We hypothesize that intermittent, unconfined sediment gravity flows occurring over at least the last 280,000&nbsp;years are the source of the regionally continuous turbidite deposits and the mechanism that maintained the regularly dispersed pockmarks.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023JF007374","usgsCitation":"Lundsten, E., Paull, C.K., Gwiazda, R., Dobbs, S., Caress, D., Kuhnz, L.A., Walton, M., Nieminski, N., McGann, M., Lorenson, T., Cochrane, G.R., and Addison, J.A., 2024, Pockmarks offshore Big Sur, California provide evidence for recurrent, regional, and unconfined sediment gravity flows: Journal of Geophysical Research, Earth Surface, v. 129, no. 5, e2023JF007374, 22 p., https://doi.org/10.1029/2023JF007374.","productDescription":"e2023JF007374, 22 p.","ipdsId":"IP-154344","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science 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     [\n              -122.10775611011732,\n              36.41225281212846\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"129","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-05-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Lundsten, E.","contributorId":255047,"corporation":false,"usgs":false,"family":"Lundsten","given":"E.","affiliations":[{"id":16837,"text":"MBARI","active":true,"usgs":false}],"preferred":false,"id":901172,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paull, Charles K. 0000-0001-5940-3443","orcid":"https://orcid.org/0000-0001-5940-3443","contributorId":55825,"corporation":false,"usgs":false,"family":"Paull","given":"Charles","email":"","middleInitial":"K.","affiliations":[{"id":7043,"text":"University of North Carolina","active":true,"usgs":false}],"preferred":true,"id":901173,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gwiazda, R.","contributorId":255044,"corporation":false,"usgs":false,"family":"Gwiazda","given":"R.","affiliations":[{"id":16837,"text":"MBARI","active":true,"usgs":false}],"preferred":false,"id":901174,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dobbs, S.","contributorId":336835,"corporation":false,"usgs":false,"family":"Dobbs","given":"S.","email":"","affiliations":[{"id":16837,"text":"MBARI","active":true,"usgs":false}],"preferred":false,"id":901175,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Caress, D.W.","contributorId":255041,"corporation":false,"usgs":false,"family":"Caress","given":"D.W.","affiliations":[{"id":16837,"text":"MBARI","active":true,"usgs":false}],"preferred":false,"id":901176,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kuhnz, Linda A. 0000-0002-8359-3803","orcid":"https://orcid.org/0000-0002-8359-3803","contributorId":289638,"corporation":false,"usgs":false,"family":"Kuhnz","given":"Linda","email":"","middleInitial":"A.","affiliations":[{"id":13620,"text":"Monterey Bay Aquarium Research Institute, Moss Landing, California","active":true,"usgs":false}],"preferred":true,"id":901177,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Walton, M. 0000-0001-8496-463X","orcid":"https://orcid.org/0000-0001-8496-463X","contributorId":336836,"corporation":false,"usgs":false,"family":"Walton","given":"M.","affiliations":[{"id":80872,"text":"US Naval Research Laboratory Stennis Space Center","active":true,"usgs":false}],"preferred":false,"id":901178,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nieminski, N. 0000-0002-4465-8731","orcid":"https://orcid.org/0000-0002-4465-8731","contributorId":336837,"corporation":false,"usgs":false,"family":"Nieminski","given":"N.","affiliations":[{"id":80873,"text":"Alaska Geological Survey","active":true,"usgs":false}],"preferred":false,"id":901179,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McGann, Mary 0000-0002-3057-2945 mmcgann@usgs.gov","orcid":"https://orcid.org/0000-0002-3057-2945","contributorId":169540,"corporation":false,"usgs":true,"family":"McGann","given":"Mary","email":"mmcgann@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":901180,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lorenson, Thomas 0000-0001-7669-2873 tlorenson@usgs.gov","orcid":"https://orcid.org/0000-0001-7669-2873","contributorId":174599,"corporation":false,"usgs":true,"family":"Lorenson","given":"Thomas","email":"tlorenson@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":901181,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Cochrane, Guy R. 0000-0002-8094-4583 gcochrane@usgs.gov","orcid":"https://orcid.org/0000-0002-8094-4583","contributorId":2870,"corporation":false,"usgs":true,"family":"Cochrane","given":"Guy","email":"gcochrane@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":901182,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Addison, Jason A. 0000-0003-2416-9743 jaddison@usgs.gov","orcid":"https://orcid.org/0000-0003-2416-9743","contributorId":4192,"corporation":false,"usgs":true,"family":"Addison","given":"Jason","email":"jaddison@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":901183,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70254412,"text":"70254412 - 2024 - Chronic wasting disease alters the movement behavior and habitat use of mule deer during clinical stages of infection","interactions":[],"lastModifiedDate":"2024-05-23T11:41:43.245011","indexId":"70254412","displayToPublicDate":"2024-05-21T06:36:40","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Chronic wasting disease alters the movement behavior and habitat use of mule deer during clinical stages of infection","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Integrating host movement and pathogen data is a central issue in wildlife disease ecology that will allow for a better understanding of disease transmission. We examined how adult female mule deer (<i>Odocoileus hemionus</i>) responded behaviorally to infection with chronic wasting disease (CWD). We compared movement and habitat use of CWD-infected deer (<i>n</i> = 18) to those that succumbed to starvation (and were CWD-negative by ELISA and IHC;<span>&nbsp;</span><i>n</i> = 8) and others in which CWD was not detected (<i>n</i> = 111, including animals that survived the duration of the study) using GPS collar data from two distinct populations collared in central Wyoming, USA during 2018–2022. CWD and predation were the leading causes of mortality during our study (32/91 deaths attributed to CWD and 27/91 deaths attributed to predation). Deer infected with CWD moved slower and used lower elevation areas closer to rivers in the months preceding death compared with uninfected deer that did not succumb to starvation. Although CWD-infected deer and those that died of starvation moved at similar speeds during the final months of life, CWD-infected deer used areas closer to streams with less herbaceous biomass than starved deer. These behavioral differences may allow for the development of predictive models of disease status from movement data, which will be useful to supplement field and laboratory diagnostics or when mortalities cannot be quickly retrieved to assess cause-specific mortality. Furthermore, identifying individuals who are sick before predation events could help to assess the extent to which disease mortality is compensatory with predation. Finally, infected animals began to slow down around 4 months prior to death from CWD. Our approach for detecting the timing of infection-induced shifts in movement behavior may be useful in application to other disease systems to better understand the response of wildlife to infectious disease.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.11418","usgsCitation":"Barrile, G., Cross, P., Stewart, C., Malmberg, J., Jakopak, R., Binfet, J., Montieth, K., Werner, B., Jennings-Gaines, J., and Merkle, J., 2024, Chronic wasting disease alters the movement behavior and habitat use of mule deer during clinical stages of infection: Ecology and Evolution, v. 14, no. 5, e11418, 16 p., https://doi.org/10.1002/ece3.11418.","productDescription":"e11418, 16 p.","ipdsId":"IP-156880","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":439551,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.11418","text":"Publisher Index Page"},{"id":429199,"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              -109.38334941809111,\n              44.38515314006116\n            ],\n            [\n              -109.38334941809111,\n              41.556310779351236\n            ],\n            [\n              -106.06547832434123,\n              41.556310779351236\n            ],\n            [\n              -106.06547832434123,\n              44.38515314006116\n            ],\n            [\n              -109.38334941809111,\n              44.38515314006116\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"14","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-05-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Barrile, Gabriel M.","contributorId":288734,"corporation":false,"usgs":false,"family":"Barrile","given":"Gabriel M.","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":901288,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cross, Paul C. 0000-0001-8045-5213","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":218820,"corporation":false,"usgs":true,"family":"Cross","given":"Paul C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":901289,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stewart, Cheynne","contributorId":336874,"corporation":false,"usgs":false,"family":"Stewart","given":"Cheynne","email":"","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":901290,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Malmberg, Jennifer L.","contributorId":179193,"corporation":false,"usgs":false,"family":"Malmberg","given":"Jennifer L.","affiliations":[],"preferred":false,"id":901291,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jakopak, Rhiannon P.","contributorId":288168,"corporation":false,"usgs":false,"family":"Jakopak","given":"Rhiannon P.","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":901292,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Binfet, Justin","contributorId":198650,"corporation":false,"usgs":false,"family":"Binfet","given":"Justin","email":"","affiliations":[],"preferred":false,"id":901293,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Montieth, Kevin","contributorId":336877,"corporation":false,"usgs":false,"family":"Montieth","given":"Kevin","email":"","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":901294,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Werner, Brandon","contributorId":336880,"corporation":false,"usgs":false,"family":"Werner","given":"Brandon","email":"","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":901295,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jennings-Gaines, Jessica","contributorId":336882,"corporation":false,"usgs":false,"family":"Jennings-Gaines","given":"Jessica","email":"","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":901296,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Merkle, JA","contributorId":199581,"corporation":false,"usgs":false,"family":"Merkle","given":"JA","email":"","affiliations":[],"preferred":false,"id":901297,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70255054,"text":"70255054 - 2024 - Development and validation of a GT-seq panel for genetic monitoring in a threatened species using minimally invasive sampling","interactions":[],"lastModifiedDate":"2024-06-12T22:29:51.273888","indexId":"70255054","displayToPublicDate":"2024-05-20T17:23:16","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Development and validation of a GT-seq panel for genetic monitoring in a threatened species using minimally invasive sampling","docAbstract":"<p><span>Minimally invasive samples are often the best option for collecting genetic material from species of conservation concern, but they perform poorly in many genomic sequencing methods due to their tendency to yield low DNA quality and quantity. Genotyping-in-thousands by sequencing (GT-seq) is a powerful amplicon sequencing method that can genotype large numbers of variable-quality samples at a standardized set of single nucleotide polymorphism (SNP) loci. Here, we develop, optimize, and validate a GT-seq panel for the federally threatened northern Idaho ground squirrel (</span><i>Urocitellus brunneus</i><span>) to provide a standardized approach for future genetic monitoring and assessment of recovery goals using minimally invasive samples. The optimized panel consists of 224 neutral and 81 putatively adaptive SNPs. DNA collected from buccal swabs from 2016 to 2020 had 73% genotyping success, while samples collected from hair from 2002 to 2006 had little to no DNA remaining and did not genotype successfully. We evaluated our GT-seq panel by measuring genotype discordance rates compared to RADseq and whole-genome sequencing. GT-seq and other sequencing methods had similar population diversity and&nbsp;</span><i>F</i><sub>ST</sub><span>&nbsp;estimates, but GT-seq consistently called more heterozygotes than expected, resulting in negative&nbsp;</span><i>F</i><sub>IS</sub><span>&nbsp;values at the population level. Genetic ancestry assignment was consistent when estimated with different sequencing methods and numbers of loci. Our GT-seq panel is an effective and efficient genotyping tool that will aid in the monitoring and recovery of this threatened species, and our results provide insights for applying GT-seq for minimally invasive DNA sampling techniques in other rare animals.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.11321","usgsCitation":"Garrett, M.J., Nerkowski, S.A., Kieran, S., Campbell, N.R., Barbosa, S., Conway, C.J., Hohenlohe, P., and Waits, L., 2024, Development and validation of a GT-seq panel for genetic monitoring in a threatened species using minimally invasive sampling: Ecology and Evolution, v. 14, no. 5, e11321, 13 p., https://doi.org/10.1002/ece3.11321.","productDescription":"e11321, 13 p.","ipdsId":"IP-160807","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":439553,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/ece3.11321","text":"External Repository"},{"id":430043,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Garrett, Molly J.","contributorId":338440,"corporation":false,"usgs":false,"family":"Garrett","given":"Molly","email":"","middleInitial":"J.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":903269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nerkowski, Stacey A.","contributorId":338441,"corporation":false,"usgs":false,"family":"Nerkowski","given":"Stacey","email":"","middleInitial":"A.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":903270,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kieran, Shannon","contributorId":338767,"corporation":false,"usgs":false,"family":"Kieran","given":"Shannon","email":"","affiliations":[],"preferred":false,"id":903271,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell, Nathan R.","contributorId":338444,"corporation":false,"usgs":false,"family":"Campbell","given":"Nathan","email":"","middleInitial":"R.","affiliations":[{"id":81130,"text":"GTseek LLC","active":true,"usgs":false}],"preferred":false,"id":903272,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barbosa, Soraia","contributorId":338447,"corporation":false,"usgs":false,"family":"Barbosa","given":"Soraia","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":903273,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903274,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hohenlohe, Paul A.","contributorId":338451,"corporation":false,"usgs":false,"family":"Hohenlohe","given":"Paul A.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":903275,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Waits, Lisette P.","contributorId":338452,"corporation":false,"usgs":false,"family":"Waits","given":"Lisette P.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":903276,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70267225,"text":"70267225 - 2024 - Repeated coseismic uplift of coastal lagoons above the Patton Bay Splay Fault System, Montague Island, Alaska, USA","interactions":[],"lastModifiedDate":"2025-05-16T16:15:09.482771","indexId":"70267225","displayToPublicDate":"2024-05-20T11:10:35","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7501,"text":"JGR Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Repeated coseismic uplift of coastal lagoons above the Patton Bay Splay Fault System, Montague Island, Alaska, USA","docAbstract":"<p><span>Coseismic slip on the Patton Bay splay fault system during the 1964&nbsp;</span><i>M</i><sub>w</sub><span>&nbsp;9.2 Great Alaska Earthquake contributed to local tsunami generation and vertically uplifted shorelines as much as 11&nbsp;m on Montague Island in Prince William Sound (PWS). Sudden uplift of 3.7–4.3 m caused coastal lagoons along the island's northwestern coast to gradually drain. The resulting change in depositional environment from marine lagoon to freshwater muskeg created a sharp, laterally continuous stratigraphic contact between silt and overlying peat. Here, we characterize the geomorphology, sedimentology, and diatom ecology across the 1964 earthquake contact and three similar prehistoric contacts within the stratigraphy of the Hidden Lagoons locality. We find that the contacts signal instances of abrupt coastal uplift that, within error, overlap the timing of independently constrained megathrust earthquakes in PWS—1964 Common Era, 760–870&nbsp;yr BP, 2500–2700&nbsp;yr BP, and 4120–4500&nbsp;yr BP. Changes in fossil diatom assemblages across the inferred prehistoric earthquake contacts reflect ecological shifts consistent with repeated draining of a lagoon system caused by &gt;3&nbsp;m of coseismic uplift. Our observations provide evidence for four instances of combined megathrust-splay fault ruptures that have occurred in the past ∼4,200&nbsp;years in PWS. The possibility that 1964-style combined megathrust-splay fault ruptures may have repeated in the past warrants their consideration in future seismic and tsunami hazards assessments.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023JB028552","usgsCitation":"DePaolis, J., Dura, T., Witter, R., Haeussler, P., Bender, A., Curran, J.H., and Corbett, D., 2024, Repeated coseismic uplift of coastal lagoons above the Patton Bay Splay Fault System, Montague Island, Alaska, USA: JGR Solid Earth, v. 129, no. 5, e2023JB028552, 19 p., https://doi.org/10.1029/2023JB028552.","productDescription":"e2023JB028552, 19 p.","ipdsId":"IP-162894","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":489025,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023jb028552","text":"Publisher Index Page"},{"id":486319,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13UHFCE","text":"USGS data release","linkHelpText":"Diatom Data from Coastal Environments on Montague Island, Alaska"},{"id":486089,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -152.57849021023995,\n              61.301320484760936\n            ],\n            [\n              -157.10579653727243,\n              57.117867488361554\n            ],\n            [\n              -145.11828913021205,\n              58.89119185780879\n            ],\n            [\n              -143.770157912829,\n              61.51788781472092\n            ],\n            [\n              -152.57849021023995,\n              61.301320484760936\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"129","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"DePaolis, Jessica","contributorId":334364,"corporation":false,"usgs":false,"family":"DePaolis","given":"Jessica","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":937363,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dura, Tina","contributorId":195530,"corporation":false,"usgs":false,"family":"Dura","given":"Tina","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":937364,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Witter, Robert C. 0000-0002-1721-254X rwitter@usgs.gov","orcid":"https://orcid.org/0000-0002-1721-254X","contributorId":4528,"corporation":false,"usgs":true,"family":"Witter","given":"Robert C.","email":"rwitter@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":937365,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haeussler, Peter J. 0000-0002-1503-6247","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":219956,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter J.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":937366,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bender, Adrian 0000-0001-7469-1957","orcid":"https://orcid.org/0000-0001-7469-1957","contributorId":219952,"corporation":false,"usgs":true,"family":"Bender","given":"Adrian","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":937367,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Curran, Janet H. 0000-0002-3899-6275 jcurran@usgs.gov","orcid":"https://orcid.org/0000-0002-3899-6275","contributorId":690,"corporation":false,"usgs":true,"family":"Curran","given":"Janet","email":"jcurran@usgs.gov","middleInitial":"H.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":937368,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Corbett, D. Reide","contributorId":23681,"corporation":false,"usgs":true,"family":"Corbett","given":"D. Reide","affiliations":[],"preferred":false,"id":937369,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70257463,"text":"70257463 - 2024 - Assessing wild turkey productivity before and after a 14-day delay in the start date of the spring hunting season in Tennessee","interactions":[],"lastModifiedDate":"2024-08-16T15:02:05.310071","indexId":"70257463","displayToPublicDate":"2024-05-20T09:58:58","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Assessing wild turkey productivity before and after a 14-day delay in the start date of the spring hunting season in Tennessee","docAbstract":"<p><span>Ten state wildlife management agencies in the United States, including six within the Southeast, have delayed their spring wild turkey (</span><i>Meleagris gallopavo</i><span>) hunting seasons since 2017 by five or more days to address concerns related to the potential effects of hunting on wild turkey seasonal productivity. One hypothesis posits that if the spring hunting season is too early, there may be insufficient time for males to breed hens before being harvested, thus leading to reduced seasonal productivity. We conducted an experiment to determine whether delaying the wild turkey hunting season by 2 weeks in south-middle Tennessee would affect various reproductive rates. In 2021 and 2022, the Tennessee Fish and Wildlife Commission experimentally delayed the spring hunting season to open 14 days later than the traditional date (the Saturday closest to 1 April) in Giles, Lawrence, and Wayne counties. We monitored reproductive rates from 2017 to 2022 in these three counties as well as two adjacent counties, Bedford and Maury, that were not delayed. We used a Before-After-Control-Impact design to analyze the proportion of hens nesting, clutch size, hatchability, nest success, poult survival and hen survival with linear mixed-effect models and AIC model selection to detect relationships between the 14-day delay and reproductive parameters. We detected no relationship (</span><i>p</i><span> &gt; .05) between the 14-day delay and any individual reproductive parameter. In addition, recruitment (hen poults per hen that survived until the next breeding season) was very low (&lt;0.5) and did not increase because of the 14-day delay. The traditional Tennessee start date had been in place since 1986 while the turkey harvest increased markedly until about 2006 and more recently stabilized. Our data indicate that moving the start of the hunting season from a period just prior to peak nest initiation to 2 weeks later, to coincide with a period just prior to peak nest incubation initiation, resulted in no change to productivity or populations in wild turkey flocks in south-middle Tennessee.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.11390","usgsCitation":"Quehl, J.O., Phillips, L.M., Johnson, V.M., Harper, C.A., Clark, J.D., Shields, R.D., and Buehler, D., 2024, Assessing wild turkey productivity before and after a 14-day delay in the start date of the spring hunting season in Tennessee: Ecology and Evolution, v. 14, no. 5, e11390, 16 p., https://doi.org/10.1002/ece3.11390.","productDescription":"e11390, 16 p.","ipdsId":"IP-160505","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":439555,"rank":0,"type":{"id":41,"text":"Open Access External Repository 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 \"}}]}","volume":"14","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Quehl, Joseph O.","contributorId":342921,"corporation":false,"usgs":false,"family":"Quehl","given":"Joseph","email":"","middleInitial":"O.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":910484,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phillips, Lindsey M.","contributorId":342923,"corporation":false,"usgs":false,"family":"Phillips","given":"Lindsey","email":"","middleInitial":"M.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":910485,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Vincent M.","contributorId":342925,"corporation":false,"usgs":false,"family":"Johnson","given":"Vincent","email":"","middleInitial":"M.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":910486,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harper, Craig A.","contributorId":146944,"corporation":false,"usgs":false,"family":"Harper","given":"Craig","email":"","middleInitial":"A.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":910487,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clark, Joseph D. 0000-0002-8547-8112 jclark1@usgs.gov","orcid":"https://orcid.org/0000-0002-8547-8112","contributorId":2265,"corporation":false,"usgs":true,"family":"Clark","given":"Joseph","email":"jclark1@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":910488,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shields, Roger D.","contributorId":342928,"corporation":false,"usgs":false,"family":"Shields","given":"Roger","email":"","middleInitial":"D.","affiliations":[{"id":13408,"text":"Tennessee Wildlife Resources Agency","active":true,"usgs":false}],"preferred":false,"id":910489,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Buehler, David A.","contributorId":274719,"corporation":false,"usgs":false,"family":"Buehler","given":"David A.","affiliations":[{"id":56640,"text":"University of Tennesse","active":true,"usgs":false}],"preferred":false,"id":910490,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70263617,"text":"70263617 - 2024 - Static and dynamic strain in the 1886 Charleston, South Carolina, earthquake","interactions":[],"lastModifiedDate":"2025-02-18T16:05:31.703124","indexId":"70263617","displayToPublicDate":"2024-05-20T09:57:18","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Static and dynamic strain in the 1886 Charleston, South Carolina, earthquake","docAbstract":"<p><span>During the 1886&nbsp;</span><span class=\"inline-formula no-formula-id\">Mw</span><span>&nbsp;7.3 Charleston, South Carolina, earthquake, three railroads emanating from the city were exposed to severe shaking. Expansion joints in segmented railroad tracks are designed to allow railroad infrastructure to withstand a few parts in 10,000 of thermoelastic strain. We show that, in 1886, transient contractions exceeding this limiting value buckled rails, and transient extensions pulled rails apart. Calculated values for dynamic strain in the meizoseismal region are in reasonable agreement with those anticipated from the relation between strain and moment magnitude proposed by&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf6\">Barbour<span>&nbsp;</span><i>et&nbsp;al.</i><span>&nbsp;</span>(2021)</a><span>&nbsp;and exceed estimated tectonic strain released by the earthquake by an order of magnitude. Almost all of the documented disturbances of railroad lines, including evidence for shortening of the rails, can thus be ascribed to the effects of dynamic strain changes, not static strain. Little or no damage to railroads was reported outside the estimated&nbsp;</span><span class=\"inline-formula no-formula-id\">10<sup>−4</sup></span><span>&nbsp;dynamic strain contour. The correspondence between&nbsp;</span><span class=\"inline-formula no-formula-id\">10<sup>−3</sup></span><span>&nbsp;and&nbsp;</span><span class=\"inline-formula no-formula-id\">2×10<sup>−4</sup></span><span>&nbsp;contours of dynamic strain and Mercalli intensity 9 and 8, anticipated from the dependence of each quantity on peak ground velocity, suggests it may be possible to use railroad damage to quantitatively estimate shaking intensity. At one location, near Rantowles, ≈20&nbsp;km west of Charleston, a photograph of buckled track taken one day after the earthquake has been cited as evidence for shallow dextral slip and has long focused a search for a causal fault in this region. Photogrammetric analysis reveals that the buckle was caused by transient contraction of &lt;10&nbsp;cm with no dextral offset. Our results further weaken the evidence for faulting in the swamps and forests south of the Ashley River in 1886, hitherto motivated by the photograph and limited macroseismic evidence for high‐intensity shaking.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120240025","usgsCitation":"Bilham, R., and Hough, S.E., 2024, Static and dynamic strain in the 1886 Charleston, South Carolina, earthquake: Bulletin of the Seismological Society of America, v. 114, no. 5, p. 2687-2712, https://doi.org/10.1785/0120240025.","productDescription":"26 p.","startPage":"2687","endPage":"2712","ipdsId":"IP-162657","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":482165,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","city":"Charleston","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.5,\n              33.2\n            ],\n            [\n              -80.5,\n              32.6\n            ],\n            [\n              -79.85,\n              32.6\n            ],\n            [\n              -79.85,\n              33.2\n            ],\n            [\n              -80.5,\n              33.2\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"114","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Bilham, Roger","contributorId":225117,"corporation":false,"usgs":false,"family":"Bilham","given":"Roger","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":927584,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hough, Susan E. 0000-0002-5980-2986","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":263442,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927585,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70254496,"text":"70254496 - 2024 - Resilience is not enough: Toward a more meaningful rangeland adaptation science","interactions":[],"lastModifiedDate":"2024-05-29T14:54:09.714482","indexId":"70254496","displayToPublicDate":"2024-05-20T09:51:36","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6002,"text":"Rangeland Ecology & Management","active":true,"publicationSubtype":{"id":10}},"title":"Resilience is not enough: Toward a more meaningful rangeland adaptation science","docAbstract":"<p><span>Rangeland ecosystems, and their managers, face the growing urgency of climate change impacts. Researchers are therefore seeking integrative social-ecological frameworks that can enhance adaptation by managers to these climate change dynamics through tighter linkages among multiple scientific disciplines and manager contexts. Social-ecological framings, including resilience and vulnerability, are popular in such efforts, but their potential to inform meaningful rangeland adaptation science is limited by traditional disciplinary silos. Here, we provide reflective lessons learned from a multidisciplinary Rangelands, Ranching, and Resilience (R3) project on U.S. western rangelands that addressed 1) biophysical science projections of forage production under future climate scenarios, 2) ranchers’ views of resilience using social science methods, and 3) outreach efforts coordinated through extension professionals. Despite the project's initial intentions, human dimensions and ecological researchers largely worked in parallel sub-teams during the project, rather than weaving their expertise together with managers. The R3 project was multidisciplinary, but it provides a case study on lessons learned to suggest how social and ecological researchers can move towards approaches that transcend individual disciplines. Transdisciplinary science and management in rangelands requires more than just conceptual social-ecological frameworks. Additional methodological concepts need to include: 1) relationship building; 2) shared meaning making; and 3) a commitment to continual conversations and learning, or staying with the trouble, following Haraway (2016). If the goal is to address meaningful rangeland adaptation science rather than just produce academic products, researchers, outreach professionals, and rangeland-based communities should address a series of critical troubling questions. In the process of addressing these, deeper engagement among and beyond disciplines will occur as relationship building, shared meaning, and continual conversations and learning facilitate staying with the trouble.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2024.04.003","usgsCitation":"Wilmer, H., Ferguson, D.B., Dinan, M., Thacker, E., Adler, P.B., Walsh, K.B., Bradford, J., Brunson, M., Derner, J., Elias, E., Felton, A., Gray, C.A., Greene, C., McClaran, M., Shriver, R., Stephenson, M., and Suding, K.N., 2024, Resilience is not enough: Toward a more meaningful rangeland adaptation science: Rangeland Ecology & Management, v. 95, p. 56-67, https://doi.org/10.1016/j.rama.2024.04.003.","productDescription":"12 p.","startPage":"56","endPage":"67","ipdsId":"IP-160217","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":487874,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rama.2024.04.003","text":"Publisher Index Page"},{"id":429347,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"95","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wilmer, Hailey","contributorId":245345,"corporation":false,"usgs":false,"family":"Wilmer","given":"Hailey","email":"","affiliations":[],"preferred":false,"id":901611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferguson, Daniel B.","contributorId":336961,"corporation":false,"usgs":false,"family":"Ferguson","given":"Daniel","email":"","middleInitial":"B.","affiliations":[{"id":80926,"text":"Department of Environmental Science, University of Arizona, Tucson, AZ 85721","active":true,"usgs":false}],"preferred":false,"id":901612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dinan, Maude","contributorId":268203,"corporation":false,"usgs":false,"family":"Dinan","given":"Maude","email":"","affiliations":[{"id":55592,"text":"USDA Southwest Climate Hub, Jornada Experimental Range, P.O. Box 30003, MSC 3JER, NMSU, Las Cruces, NM 88003-8003","active":true,"usgs":false}],"preferred":false,"id":901613,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thacker, Eric","contributorId":268205,"corporation":false,"usgs":false,"family":"Thacker","given":"Eric","email":"","affiliations":[{"id":55594,"text":"Department of Wildland Resources and the Ecology Center, Utah State University, 5230 Old Main Hill, Logan, UT 84322","active":true,"usgs":false}],"preferred":false,"id":901614,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adler, Peter B.","contributorId":64789,"corporation":false,"usgs":false,"family":"Adler","given":"Peter","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":901615,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walsh, Kathryn Bills","contributorId":336962,"corporation":false,"usgs":false,"family":"Walsh","given":"Kathryn","email":"","middleInitial":"Bills","affiliations":[{"id":80927,"text":"Center for Conservation Social Sciences, Department of Natural Resources and the Environment, Cornell University, Ithaca, NY 14853","active":true,"usgs":false}],"preferred":false,"id":901616,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":901617,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brunson, Mark","contributorId":178263,"corporation":false,"usgs":false,"family":"Brunson","given":"Mark","affiliations":[],"preferred":false,"id":901618,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Derner, Justin D.","contributorId":270261,"corporation":false,"usgs":false,"family":"Derner","given":"Justin D.","affiliations":[{"id":56124,"text":"USDA, Agricultural Research Service, Rangeland Resources and Systems Research Unit","active":true,"usgs":false}],"preferred":false,"id":901619,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Elias, Emile","contributorId":194484,"corporation":false,"usgs":false,"family":"Elias","given":"Emile","affiliations":[],"preferred":false,"id":901620,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Felton, Andrew J","contributorId":264213,"corporation":false,"usgs":false,"family":"Felton","given":"Andrew J","affiliations":[{"id":54404,"text":"Department of Wildland Resources and The Ecology Center, Utah State University, Logan, Utah","active":true,"usgs":false}],"preferred":false,"id":901621,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Gray, Curtis A.","contributorId":336963,"corporation":false,"usgs":false,"family":"Gray","given":"Curtis","email":"","middleInitial":"A.","affiliations":[{"id":80929,"text":"Department of Watershed Sciences, Utah State University, Logan, UT 84322","active":true,"usgs":false}],"preferred":false,"id":901622,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Greene, Christina","contributorId":268204,"corporation":false,"usgs":false,"family":"Greene","given":"Christina","email":"","affiliations":[{"id":55593,"text":"Utah State University, Department of Wildland Resources, Logan, UT 84322","active":true,"usgs":false}],"preferred":false,"id":901623,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"McClaran, Mitchel P","contributorId":261341,"corporation":false,"usgs":false,"family":"McClaran","given":"Mitchel P","affiliations":[{"id":52829,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ 85721-0043, USA","active":true,"usgs":false}],"preferred":false,"id":901624,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Shriver, Robert K.","contributorId":297511,"corporation":false,"usgs":false,"family":"Shriver","given":"Robert K.","affiliations":[{"id":64419,"text":"Department of Natural Resources and Environmental Science, University of Nevada, Reno; Ecology, Evolution, and Conservation Biology Graduate Program, University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":901625,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Stephenson, Mitch","contributorId":336964,"corporation":false,"usgs":false,"family":"Stephenson","given":"Mitch","email":"","affiliations":[{"id":80930,"text":"University of Nebraska-Lincoln, Panhandle Research, Extension and Education Center Scottsbluff, NE 89557","active":true,"usgs":false}],"preferred":false,"id":901626,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Suding, Katharine Nash","contributorId":336965,"corporation":false,"usgs":false,"family":"Suding","given":"Katharine","email":"","middleInitial":"Nash","affiliations":[{"id":80932,"text":"Department of Ecology and Evolutionary Biology, University of Colorado Boulder, CO 80309","active":true,"usgs":false}],"preferred":false,"id":901627,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70257528,"text":"70257528 - 2024 - Large-scale assessment of genetic structure to assess risk of populations of a large herbivore to disease","interactions":[],"lastModifiedDate":"2024-09-09T14:30:30.075753","indexId":"70257528","displayToPublicDate":"2024-05-20T09:20:01","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Large-scale assessment of genetic structure to assess risk of populations of a large herbivore to disease","docAbstract":"<p><span>Chronic wasting disease (CWD) can spread among cervids by direct and indirect transmission, the former being more likely in emerging areas. Identifying subpopulations allows the delineation of focal areas to target for intervention. We aimed to assess the population structure of white-tailed deer (</span><i>Odocoileus virginianus</i><span>) in the northeastern United States at a regional scale to inform managers regarding gene flow throughout the region. We genotyped 10 microsatellites in 5701 wild deer samples from Maryland, New York, Ohio, Pennsylvania, and Virginia. We evaluated the distribution of genetic variability through spatial principal component analysis and inferred genetic structure using non-spatial and spatial Bayesian clustering algorithms (BCAs). We simulated populations representing each inferred wild cluster, wild deer in each state and each physiographic province, total wild population, and a captive population. We conducted genetic assignment tests using these potential sources, calculating the probability of samples being correctly assigned to their origin. Non-spatial BCA identified two clusters across the region, while spatial BCA suggested a maximum of nine clusters. Assignment tests correctly placed deer into captive or wild origin in most cases (94%), as previously reported, but performance varied when assigning wild deer to more specific origins. Assignments to clusters inferred via non-spatial BCA performed well, but efficiency was greatly reduced when assigning samples to clusters inferred via spatial BCA. Differences between spatial BCA clusters are not strong enough to make assignment tests a reliable method for inferring the geographic origin of deer using 10 microsatellites. However, the genetic distinction between clusters may indicate natural and anthropogenic barriers of interest for management.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.11347","usgsCitation":"Walter, W., Fameli, A., Russo-Petrick, K., Edson, J.E., Rosenberry, C., Schuler, K., and Tonkovich, M.J., 2024, Large-scale assessment of genetic structure to assess risk of populations of a large herbivore to disease: Ecology and Evolution, v. 14, no. 5, e11347, 17 p., https://doi.org/10.1002/ece3.11347.","productDescription":"e11347, 17 p.","ipdsId":"IP-157027","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":439558,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.11347","text":"Publisher Index Page"},{"id":433609,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, New York, Ohio, Pennsylvania, West Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -73.53806540352511,\n              40.60390837842749\n            ],\n            [\n              -72.0242954888691,\n              40.96742287477255\n            ],\n            [\n              -72.3957461899627,\n              41.09736938640603\n            ],\n            [\n              -73.62227013633844,\n              40.957534295761576\n            ],\n            [\n              -73.54766611994648,\n              41.48030545825051\n            ],\n            [\n              -73.26692191129706,\n              42.79294770620959\n            ],\n            [\n              -73.1994757187754,\n              43.61068004165881\n            ],\n            [\n              -73.3790638901379,\n              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David 0000-0003-3068-1073","orcid":"https://orcid.org/0000-0003-3068-1073","contributorId":219540,"corporation":false,"usgs":true,"family":"Walter","given":"W. David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":910631,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fameli, Alberto","contributorId":343118,"corporation":false,"usgs":false,"family":"Fameli","given":"Alberto","email":"","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":910632,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Russo-Petrick, Kelly","contributorId":343119,"corporation":false,"usgs":false,"family":"Russo-Petrick","given":"Kelly","email":"","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":910633,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edson, Jessie E.","contributorId":343122,"corporation":false,"usgs":false,"family":"Edson","given":"Jessie","email":"","middleInitial":"E.","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":910634,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosenberry, Christopher S.","contributorId":343125,"corporation":false,"usgs":false,"family":"Rosenberry","given":"Christopher S.","affiliations":[{"id":12891,"text":"Pennsylvania Game Commission","active":true,"usgs":false}],"preferred":false,"id":910635,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schuler, Krysten L.","contributorId":343130,"corporation":false,"usgs":false,"family":"Schuler","given":"Krysten L.","affiliations":[{"id":81979,"text":"New York State Wildlife Health Program","active":true,"usgs":false}],"preferred":false,"id":910636,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tonkovich, Michael J.","contributorId":343131,"corporation":false,"usgs":false,"family":"Tonkovich","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":16232,"text":"Ohio Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":910637,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70255130,"text":"70255130 - 2024 - Updated range map of an endangered salamander and congeneric competitor reveals different niche preferences","interactions":[],"lastModifiedDate":"2024-06-12T13:55:34.610741","indexId":"70255130","displayToPublicDate":"2024-05-20T08:51:51","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Updated range map of an endangered salamander and congeneric competitor reveals different niche preferences","docAbstract":"<p><span>Estimating distributions for cryptic and highly range-restricted species induces unique challenges for species distribution modeling. In particular, bioclimatic covariates that are typically used to model species ranges at regional and continental scales may not show strong variation at scales of 100s and 10s of meters. This limits both the likelihood and usefulness of correlated occurrence to data typically used in distribution models. Here, we present analyses of species distributions, at 100 × 100 m resolution, for a highly range restricted salamander species (Shenandoah salamander,&nbsp;</span><i>Plethodon shenandoah</i><span>) and a closely related congener (red-backed salamander,&nbsp;</span><i>Plethodon cinereus</i><span>). We combined data across multiple survey types, account for seasonal variation in availability of our target species, and control for repeated surveys at locations– all typical challenges in range-scale monitoring datasets. We fit distribution models using generalized additive models that account for spatial covariates as well as unexplained spatial variation and spatial uncertainty. Our model accommodates different survey protocols using offsets and incorporates temporal variation in detection and availability resulting from survey-specific variation in temperature and precipitation. Our spatial random effect was crucial in identifying small-scale differences in the occurrence of each species and provides cell-specific estimates of uncertainty in the density of salamanders across the range. Counts of both species were seen to increase in the 3 days following a precipitation event. However,&nbsp;</span><i>P. cinereus</i><span>&nbsp;were observed even in extremely wet conditions, while surface activity of&nbsp;</span><i>P. shenandoah</i><span>&nbsp;was associated with a more narrow range. Our results demonstrate how a flexible analytical approach improves estimates of both distribution and uncertainty, and identify key abiotic relationships, even at small spatial scales and when scales of empirical data are mismatched. While our approach is especially valuable for species with small ranges, controlling for spatial autocorrelation, estimating spatial uncertainty, and incorporating survey-specific information in estimates can improve the reliability of distribution models in general.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.11262","usgsCitation":"Werba, J.A., Miller, D., Brand, A., and Campbell Grant, E.H., 2024, Updated range map of an endangered salamander and congeneric competitor reveals different niche preferences: Ecology and Evolution, v. 14, no. 5, e11262, 13 p., https://doi.org/10.1002/ece3.11262.","productDescription":"e11262, 13 p.","ipdsId":"IP-154028","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":439561,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/ece3.11262","text":"External Repository"},{"id":430009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Werba, Jo Avital 0000-0002-5295-7790","orcid":"https://orcid.org/0000-0002-5295-7790","contributorId":338728,"corporation":false,"usgs":true,"family":"Werba","given":"Jo","email":"","middleInitial":"Avital","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":903496,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, David A. 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":903497,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":903498,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":903499,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70254422,"text":"70254422 - 2024 - Accuracy, accessibility, and institutional capacity shape the utility of habitat models for managing and conserving rare plants on western public lands","interactions":[],"lastModifiedDate":"2024-05-23T12:06:27.449674","indexId":"70254422","displayToPublicDate":"2024-05-20T07:03:25","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Accuracy, accessibility, and institutional capacity shape the utility of habitat models for managing and conserving rare plants on western public lands","docAbstract":"<div class=\"abstract-group \"><div class=\"article-section__content en main\"><p>Public lands are often managed for multiple uses ranging from energy development to rare plant conservation. Habitat models can help land managers assess and mitigate potential effects of projects on rare plants, but it is unclear how models are currently being used. Our goal was to better understand how staff in the Bureau of Land Management currently use habitat models to inform their decisions, and perceived challenges and benefits associated with that use. We first examined litigation documents to determine whether the agency has been challenged on its use of data for rare plants and found no relevant legal challenges. Second, we analyzed model use in National Environmental Policy Act (NEPA) documents and found no clear citations of habitat models. Finally, we conducted interviews with agency staff who analyze potential effects of proposed actions on rare plants in NEPA documents. The primary challenges interviewees faced in using models related to data organization and access, model quality and accuracy, and institutional capacity. Interviewees believed models could be used more to inform decisions and actions to conserve rare plants and rare plant habitat on public lands and recommended improving staff access to models, creating models for additional species, and addressing staffing limitations.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/csp2.13131","usgsCitation":"Samuel, E.M., Meineke, J., McCall, L., Selby, L., Foster, A., Davidson, Z.M., Dawson, C.A., Jarnevich, C.S., and Carter, S.K., 2024, Accuracy, accessibility, and institutional capacity shape the utility of habitat models for managing and conserving rare plants on western public lands: Conservation Science and Practice, e13131, 17 p., https://doi.org/10.1111/csp2.13131.","productDescription":"e13131, 17 p.","ipdsId":"IP-156505","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":439562,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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Office","active":true,"usgs":false}],"preferred":false,"id":901319,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":901320,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Carter, Sarah K. 0000-0003-3778-8615","orcid":"https://orcid.org/0000-0003-3778-8615","contributorId":192418,"corporation":false,"usgs":true,"family":"Carter","given":"Sarah","email":"","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":901321,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70254384,"text":"70254384 - 2024 - Effects of episodic stream dewatering on brook trout spatial population structure","interactions":[],"lastModifiedDate":"2024-06-18T13:58:52.173983","indexId":"70254384","displayToPublicDate":"2024-05-20T06:51:21","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":"Effects of episodic stream dewatering on brook trout spatial population structure","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><ol class=\"\"><li>Stream dewatering is expected to become more prevalent due to climate change, and we explored the potential consequences for brook trout (<i>Salvelinus fontinalis)</i><span>&nbsp;</span>within a temperate forest ecosystem in eastern North America.</li><li>We estimated fish density within stream pools (<i>n</i> = 386) from electrofishing surveys over 10 years (2012–2021) to compare a stream that exhibits episodic dewatering (Paine Run) against a stream of similar size that remains flow-connected (Staunton River) within Shenandoah National Park, Virginia (U.S.A.). Annual surveys encompassed fluvial distances ranging from 2.6 to 4.4 km in each stream.</li><li>Mean annual fish density (fish/pool m<sup>2</sup>) was not different between streams for juvenile or adult age classes, but spatial variation in density was greater in Paine Run for both age classes of fish. Paine Run also included a greater proportion of unoccupied pools than Staunton River and exhibited stronger spatial autocorrelation in fish density among nearby pools, suggesting dispersal limitation due to surface flow fragmentation.</li><li>Fish density in pools increased during years with low summer precipitation, and this effect was observed in both streams but was stronger in Paine Run than Staunton River, further indicating the importance of fish movement into pools in response to low-flow thresholds.</li><li>Our results indicate the importance of pools as ecological refuges during low-flow conditions and that episodic dewatering may affect extirpation risks for brook trout by sequestering more fish into fewer areas. Our findings also highlight the importance of hydrological variation within stream networks because downstream river gages could not predict the observed spatial heterogeneity in fish density or pool occupancy.</li></ol><p><br data-mce-bogus=\"1\"></p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/fwb.14287","usgsCitation":"Hitt, N.P., Rogers, K.M., Kessler, K.G., Briggs, M., Fair, J.H., and Dolloff, A.C., 2024, Effects of episodic stream dewatering on brook trout spatial population structure: Freshwater Biology, v. 69, no. 7, p. 1027-1041, https://doi.org/10.1111/fwb.14287.","productDescription":"15 p.","startPage":"1027","endPage":"1041","ipdsId":"IP-151432","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":488172,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/fwb.14287","text":"Publisher Index Page"},{"id":429139,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"69","issue":"7","noUsgsAuthors":false,"publicationDate":"2024-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Hitt, Nathaniel P. 0000-0002-1046-4568","orcid":"https://orcid.org/0000-0002-1046-4568","contributorId":238185,"corporation":false,"usgs":true,"family":"Hitt","given":"Nathaniel","email":"","middleInitial":"P.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":901166,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogers, Karli M. 0000-0002-6188-7405","orcid":"https://orcid.org/0000-0002-6188-7405","contributorId":237955,"corporation":false,"usgs":true,"family":"Rogers","given":"Karli","middleInitial":"M.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":901167,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kessler, Karmann G. 0000-0001-5681-4909","orcid":"https://orcid.org/0000-0001-5681-4909","contributorId":242765,"corporation":false,"usgs":true,"family":"Kessler","given":"Karmann","email":"","middleInitial":"G.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":901168,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Briggs, Martin A. 0000-0003-3206-4132","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":222759,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":901169,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fair, Jennifer H. 0000-0002-9902-1893","orcid":"https://orcid.org/0000-0002-9902-1893","contributorId":245941,"corporation":false,"usgs":true,"family":"Fair","given":"Jennifer","middleInitial":"H.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":901170,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dolloff, Andrew C.","contributorId":336834,"corporation":false,"usgs":false,"family":"Dolloff","given":"Andrew","email":"","middleInitial":"C.","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":901171,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70254432,"text":"70254432 - 2024 - The dominance and growth of shallow groundwater resources in continuous permafrost environments","interactions":[],"lastModifiedDate":"2024-05-24T11:49:09.637699","indexId":"70254432","displayToPublicDate":"2024-05-20T06:47:08","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"The dominance and growth of shallow groundwater resources in continuous permafrost environments","docAbstract":"<div id=\"abstracts\" data-extent=\"frontmatter\"><div class=\"core-container\"><div>Water is a limited resource in Arctic watersheds with continuous permafrost because freezing conditions in winter and the impermeability of permafrost limit storage and connectivity between surface water and deep groundwater. However, groundwater can still be an important source of surface water in such settings, feeding springs and large aufeis fields that are abundant in cold regions and generating runoff when precipitation is rare. Whether groundwater is sourced from suprapermafrost taliks or deeper regional aquifers will impact water availability as the Arctic continues to warm and thaw. Previous research is ambiguous about the role of deep groundwater, leading to uncertainty regarding Arctic water availability and changing water resources. We analyzed chemistry and residence times of spring, stream, and river waters in the continuous permafrost zone of Alaska, spanning the mountains to the coastal plain. Water chemistry and age tracers show that surface waters are predominately sourced from recent precipitation and have short (&lt;50 y) subsurface residence times. Remote sensing indicates trends in the areal extent of aufeis over the last 37 y, and correlations between aufeis extent and previous year summer temperature. Together, these data indicate that surface waters in continuous permafrost regions may be impacted by short flow paths and shallow suprapermafrost aquifers that are highly sensitive to climatic and hydrologic change over annual timescales. Despite the lack of connection to regional aquifers, continued warming and permafrost thaw may promote deepening of the shallow subsurface aquifers and creation of shallow taliks, providing some resilience to Arctic freshwater ecosystems.</div></div></div>","language":"English","publisher":"Proceedings of the National Academy of Sciences","doi":"10.1073/pnas.2317873121","usgsCitation":"Koch, J.C., Connolly, C.T., Baughman, C., Repasch, M., Best, H., and Hunt, A., 2024, The dominance and growth of shallow groundwater resources in continuous permafrost environments: Proceedings of the National Academy of Sciences, v. 121, no. 23, e2317873121, https://doi.org/10.1073/pnas.2317873121.","productDescription":"e2317873121","ipdsId":"IP-158722","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":467007,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1073/pnas.2317873121","text":"External Repository"},{"id":434956,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P95CXJIT","text":"USGS data release","linkHelpText":"Hydrochemistry and Age Date Tracers from Springs, Streams, and Rivers in the Arctic National Wildlife Refuge, 2019-2022"},{"id":429241,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"121","issue":"23","noUsgsAuthors":false,"publicationDate":"2024-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":901352,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connolly, Craig T.","contributorId":255063,"corporation":false,"usgs":false,"family":"Connolly","given":"Craig","email":"","middleInitial":"T.","affiliations":[{"id":36422,"text":"University of Texas","active":true,"usgs":false}],"preferred":false,"id":901353,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baughman, Carson 0000-0002-9423-9324 cbaughman@usgs.gov","orcid":"https://orcid.org/0000-0002-9423-9324","contributorId":169657,"corporation":false,"usgs":true,"family":"Baughman","given":"Carson","email":"cbaughman@usgs.gov","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":901354,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Repasch, Marisa 0000-0003-2636-9896","orcid":"https://orcid.org/0000-0003-2636-9896","contributorId":334190,"corporation":false,"usgs":false,"family":"Repasch","given":"Marisa","email":"","affiliations":[],"preferred":false,"id":901355,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Best, Heather 0000-0003-0764-3060","orcid":"https://orcid.org/0000-0003-0764-3060","contributorId":225684,"corporation":false,"usgs":true,"family":"Best","given":"Heather","email":"","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":901356,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hunt, Andrew G. 0000-0002-3810-8610","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":206197,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew G.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":901357,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70254568,"text":"70254568 - 2024 - Metal mobilization from thawing permafrost to aquatic ecosystems is driving rusting of Arctic streams","interactions":[],"lastModifiedDate":"2024-06-03T11:41:21.61537","indexId":"70254568","displayToPublicDate":"2024-05-20T06:37:54","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17089,"text":"Communications Earth and Environment","active":true,"publicationSubtype":{"id":10}},"title":"Metal mobilization from thawing permafrost to aquatic ecosystems is driving rusting of Arctic streams","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Climate change in the Arctic is altering watershed hydrologic processes and biogeochemistry. Here, we present an emergent threat to Arctic watersheds based on observations from 75 streams in Alaska’s Brooks Range that recently turned orange, reflecting increased loading of iron and toxic metals. Using remote sensing, we constrain the timing of stream discoloration to the last 10 years, a period of rapid warming and snowfall, suggesting impairment is likely due to permafrost thaw. Thawing permafrost can foster chemical weathering of minerals, microbial reduction of soil iron, and groundwater transport of metals to streams. Compared to clear reference streams, orange streams have lower pH, higher turbidity, and higher sulfate, iron, and trace metal concentrations, supporting sulfide mineral weathering as a primary mobilization process. Stream discoloration was associated with dramatic declines in macroinvertebrate diversity and fish abundance. These findings have considerable implications for drinking water supplies and subsistence fisheries in rural Alaska.</p></div></div>","language":"English","publisher":"Nature","doi":"10.1038/s43247-024-01446-z","usgsCitation":"O’Donnell, J.A., Carey, M.P., Koch, J.C., Baughman, C., Hill, K., Zimmerman, C.E., Sullivan, P., Dial, R.J., Lyons, T., Cooper, D.J., and Poulin, B., 2024, Metal mobilization from thawing permafrost to aquatic ecosystems is driving rusting of Arctic streams: Communications Earth and Environment, v. 5, 268, 10 p., https://doi.org/10.1038/s43247-024-01446-z.","productDescription":"268, 10 p.","ipdsId":"IP-154763","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":439568,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s43247-024-01446-z","text":"Publisher Index Page"},{"id":434958,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90B3QO0","text":"USGS data release","linkHelpText":"Macroinvertebrates from Rivers in Northwest Alaska, 2015-2019"},{"id":434957,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TP9TZH","text":"USGS data release","linkHelpText":"Estimates of Iron Mineralization in Select Reaches of Three Alaska Arctic Rivers Derived from Historical Landsat Imagery"},{"id":429441,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -166.638167318411,\n              63.92821641745104\n            ],\n            [\n              -138.89819461471245,\n              63.92821641745104\n            ],\n            [\n              -138.89819461471245,\n              71.52712798000314\n            ],\n            [\n              -166.638167318411,\n              71.52712798000314\n            ],\n            [\n              -166.638167318411,\n              63.92821641745104\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"5","noUsgsAuthors":false,"publicationDate":"2024-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"O’Donnell, Jonathan A. 0000-0001-7031-9808","orcid":"https://orcid.org/0000-0001-7031-9808","contributorId":191423,"corporation":false,"usgs":false,"family":"O’Donnell","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":901917,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carey, Michael P. 0000-0002-3327-8995 mcarey@usgs.gov","orcid":"https://orcid.org/0000-0002-3327-8995","contributorId":5397,"corporation":false,"usgs":true,"family":"Carey","given":"Michael","email":"mcarey@usgs.gov","middleInitial":"P.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":901918,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":901919,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baughman, Carson 0000-0002-9423-9324 cbaughman@usgs.gov","orcid":"https://orcid.org/0000-0002-9423-9324","contributorId":169657,"corporation":false,"usgs":true,"family":"Baughman","given":"Carson","email":"cbaughman@usgs.gov","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":901920,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hill, Kenneth","contributorId":244049,"corporation":false,"usgs":false,"family":"Hill","given":"Kenneth","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":901921,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":901922,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sullivan, Patrick F.","contributorId":243097,"corporation":false,"usgs":false,"family":"Sullivan","given":"Patrick F.","affiliations":[{"id":36971,"text":"University of Alaska","active":true,"usgs":false}],"preferred":false,"id":901923,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dial, Roman J.","contributorId":267274,"corporation":false,"usgs":false,"family":"Dial","given":"Roman","email":"","middleInitial":"J.","affiliations":[{"id":12915,"text":"Alaska Pacific University","active":true,"usgs":false}],"preferred":false,"id":901924,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lyons, Timothy J.","contributorId":332452,"corporation":false,"usgs":false,"family":"Lyons","given":"Timothy J.","affiliations":[{"id":79465,"text":"University of Florida/IFAS and New Mexico Biopark Society","active":true,"usgs":false}],"preferred":false,"id":901925,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cooper, David J.","contributorId":196510,"corporation":false,"usgs":false,"family":"Cooper","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":13017,"text":"Department of Forest and Rangeland Stewardship, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":901926,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Poulin, Brett A.","contributorId":328488,"corporation":false,"usgs":false,"family":"Poulin","given":"Brett A.","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":901927,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70255722,"text":"70255722 - 2024 - Geographic drivers of mercury entry into aquatic food webs revealed by mercury stable isotopes in dragonfly larvae","interactions":[],"lastModifiedDate":"2024-08-13T14:35:31.585952","indexId":"70255722","displayToPublicDate":"2024-05-20T06:36:55","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Geographic drivers of mercury entry into aquatic food webs revealed by mercury stable isotopes in dragonfly larvae","docAbstract":"<p>Atmospheric mercury (Hg) emissions and subsequent transport and deposition are major concerns within protected lands, including national parks, where Hg can bioaccumulate to levels detrimental to human and wildlife health. Despite this risk to biological resources, there is limited understanding of the relative importance of different Hg sources and delivery pathways within protected regions. Here, we used Hg stable isotope measurements of a single aquatic bioindicator, dragonfly larvae, to determine if these tracers can resolve spatial patterns in Hg sources, delivery mechanisms, and aquatic cycling at a national scale. Mercury isotope values in dragonfly tissues varied among habitat types (e.g., lentic, lotic, wetland) and geographic location. Photochemical-derived isotope fractionation was habitat-dependent and influenced by factors that impact light penetration directly or indirectly, including dissolved organic matter, canopy cover, and total phosphorus. Strong patterns for Δ<sup>200</sup>Hg emerged in the western US, highlighting the relative importance of wet deposition sources in arid regions in contrast to dry deposition delivery in forested regions. This work highlights the efficacy of dragonfly larvae as biosentinels for Hg isotope studies due to their ubiquity across freshwater ecosystems and ability to track variation in Hg sources and processing attributed to small-scale habitat and large-scale regional patterns.</p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.4c02436","usgsCitation":"Janssen, S., Kotalik, C.J., Willacker, J., Tate, M., Flanagan-Pritz, C., Nelson, S., Krabbenhoft, D.P., Walters, D., and Eagles-Smith, C., 2024, Geographic drivers of mercury entry into aquatic food webs revealed by mercury stable isotopes in dragonfly larvae: Environmental Science and Technology, v. 58, no. 30, p. 13444-13455, https://doi.org/10.1021/acs.est.4c02436.","productDescription":"12 p.","startPage":"13444","endPage":"13455","ipdsId":"IP-154885","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":439569,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.4c02436","text":"Publisher Index Page"},{"id":430710,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"30","noUsgsAuthors":false,"publicationDate":"2024-07-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Janssen, Sarah E. 0000-0003-4432-3154","orcid":"https://orcid.org/0000-0003-4432-3154","contributorId":210991,"corporation":false,"usgs":true,"family":"Janssen","given":"Sarah E.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":905440,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kotalik, Christopher James 0000-0001-6739-6036","orcid":"https://orcid.org/0000-0001-6739-6036","contributorId":301847,"corporation":false,"usgs":true,"family":"Kotalik","given":"Christopher","email":"","middleInitial":"James","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":905441,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Willacker, James 0000-0002-6286-5224","orcid":"https://orcid.org/0000-0002-6286-5224","contributorId":221744,"corporation":false,"usgs":true,"family":"Willacker","given":"James","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":905442,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tate, Michael T. 0000-0003-1525-1219 mttate@usgs.gov","orcid":"https://orcid.org/0000-0003-1525-1219","contributorId":3144,"corporation":false,"usgs":true,"family":"Tate","given":"Michael T.","email":"mttate@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":905443,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flanagan-Pritz, Colleen M","contributorId":207882,"corporation":false,"usgs":false,"family":"Flanagan-Pritz","given":"Colleen M","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":905444,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nelson, Sarah","contributorId":167199,"corporation":false,"usgs":false,"family":"Nelson","given":"Sarah","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":905445,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":905446,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Walters, David 0000-0002-4237-2158","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":205921,"corporation":false,"usgs":true,"family":"Walters","given":"David","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":905447,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":221745,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":905448,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70270815,"text":"70270815 - 2024 - Greenness and actual evapotranspiration in the unrestored riparian corridor of the Colorado River Delta in response to in-channel water deliveries in 2021 and 2022","interactions":[],"lastModifiedDate":"2025-08-25T14:35:17.891197","indexId":"70270815","displayToPublicDate":"2024-05-18T09:30:22","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Greenness and actual evapotranspiration in the unrestored riparian corridor of the Colorado River Delta in response to in-channel water deliveries in 2021 and 2022","docAbstract":"<p><span>Natural resource managers may utilize remotely sensed data to monitor vegetation within their decision-making frameworks for improving habitats. Under binational agreements between the United States and Mexico, seven reaches were targeted for riparian habitat enhancement. Monitoring was carried out using Landsat 8 16-day intervals of the two-band enhanced vegetation index 2 (EVI2) for greenness and actual evapotranspiration (ETa). In-channel water was delivered in 2021 and 2022 at four places in Reach 4. Three reaches (Reaches 4, 5 and 7) showed no discernable difference in EVI2 from reaches that did not receive in-channel water (Reaches 1, 2, 3 and 6). EVI2 in 2021 was higher than 2020 in all reaches except Reach 3, and EVI2 in 2022 was lower than 2021 in all reaches except Reach 7. ET(EVI2) was higher in 2020 than in 2021 and 2022 in all seven reaches; it was highest in Reach 4 (containing restoration sites) in all years. Excluding restoration sites, compared with 2020, unrestored reaches showed that EVI2 minimally increased in 2021 and 2022, while ET(EVI2) minimally decreased despite added water in 2021–2022. Difference maps comparing 2020 (no-flow year) to 2021 and 2022 (in-channel flows) reveal areas in Reaches 5 and 7 where the in-channel flows increased greenness and ET(EVI2).</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs16101801","usgsCitation":"Nagler, P.L., Sall, I., Gomez-Sapiens, M., Barreto-Muñoz, A., Jarchow, C.J., Flessa, K.W., and Didan, K., 2024, Greenness and actual evapotranspiration in the unrestored riparian corridor of the Colorado River Delta in response to in-channel water deliveries in 2021 and 2022: Remote Sensing, v. 16, no. 10, 1801, 36 p., https://doi.org/10.3390/rs16101801.","productDescription":"1801, 36 p.","ipdsId":"IP-159485","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":495053,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs16101801","text":"Publisher Index Page"},{"id":494727,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","otherGeospatial":"Colorado River and Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114.70373688763536,\n              32.71761400400064\n            ],\n            [\n              -114.91753138575248,\n              32.615612719042275\n            ],\n            [\n              -115.12542877690827,\n              32.29643421023498\n            ],\n            [\n              -115.29207031009817,\n              32.062671657105\n            ],\n            [\n              -114.77701945034427,\n              31.29475716550462\n            ],\n            [\n              -114.11333757418808,\n              31.39877597118165\n            ],\n            [\n              -114.7621430899238,\n              32.2396086059703\n            ],\n            [\n              -114.70373688763536,\n              32.71761400400064\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"16","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-05-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":947107,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sall, Ibrahima 0000-0002-7526-636X","orcid":"https://orcid.org/0000-0002-7526-636X","contributorId":251750,"corporation":false,"usgs":false,"family":"Sall","given":"Ibrahima","email":"","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":947108,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gomez-Sapiens, Martha","contributorId":195954,"corporation":false,"usgs":false,"family":"Gomez-Sapiens","given":"Martha","email":"","affiliations":[],"preferred":false,"id":947109,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barreto-Muñoz, Armando","contributorId":239891,"corporation":false,"usgs":false,"family":"Barreto-Muñoz","given":"Armando","affiliations":[{"id":48028,"text":"University of Arizona, Biosystems Engineering, Tucson, AZ, 85721 USA","active":true,"usgs":false}],"preferred":false,"id":947111,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jarchow, Christopher J.","contributorId":360495,"corporation":false,"usgs":false,"family":"Jarchow","given":"Christopher","middleInitial":"J.","affiliations":[{"id":62999,"text":"Biosystems Engineering, University of Arizona, Tucson, AZ, 85721 USA","active":true,"usgs":false}],"preferred":false,"id":947112,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Flessa, Karl W.","contributorId":175308,"corporation":false,"usgs":false,"family":"Flessa","given":"Karl","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":947110,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Didan, Kamel","contributorId":292780,"corporation":false,"usgs":false,"family":"Didan","given":"Kamel","affiliations":[{"id":62999,"text":"Biosystems Engineering, University of Arizona, Tucson, AZ, 85721 USA","active":true,"usgs":false}],"preferred":false,"id":947113,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70254357,"text":"70254357 - 2024 - Debris-flow entrainment modelling under climate change: Considering antecedent moisture conditions along the flow path","interactions":[],"lastModifiedDate":"2024-08-26T14:47:16.951609","indexId":"70254357","displayToPublicDate":"2024-05-18T06:42:19","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":"Debris-flow entrainment modelling under climate change: Considering antecedent moisture conditions along the flow path","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Debris-flow volumes can increase along their flow path by entraining sediment stored in the channel bed and banks, thus also increasing hazard potential. Theoretical considerations, laboratory experiments and field investigations all indicate that the saturation conditions of the sediment along the flow path can greatly influence the amount of sediment entrained. However, this process is usually not considered for practical applications. This study aims to close this gap by combining runout and hydrological models into a predictive framework that is calibrated and tested using unique observations of sediment erosion and debris-flow properties available at a Swiss debris-flow observation station (Illgraben). To this end, hourly water input to the erodible channel is predicted using a simple, process-based hydrological model, and the resulting water saturation level in the upper sediment layer of the channel is modelled based on a Hortonian infiltration concept. Debris-flow entrainment is then predicted using the RAMMS debris-flow runout model. We find a strong correlation between the modelled saturation level of the sediment on the flow path and the channel-bed erodibility for single-surge debris-flow events with distinct fronts, indicating that the modelled water content is a good predictor for erosion simulated in RAMMS. Debris-flow properties with more complex flow behaviour (e.g., multiple surges or roll waves) are not as well predicted using this procedure, indicating that more physically complete models are necessary. Finally, we demonstrate how this modelling framework can be used for climate change impact assessment and show that earlier snowmelt may shift the peak of the debris-flow season to earlier in the year. Our novel modelling framework provides a plausible approach to reproduce saturation-dependent entrainment and thus better constrain event volumes for current and future hazard assessment.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/esp.5868","usgsCitation":"Konz, A., Hirschberg, J., McArdell, B., Mirus, B., de Haas, T., Bartelt, P., and Molnar, P., 2024, Debris-flow entrainment modelling under climate change: Considering antecedent moisture conditions along the flow path: Earth Surface Processes and Landforms, v. 49, no. 10, p. 2950-2964, https://doi.org/10.1002/esp.5868.","productDescription":"15 p.","startPage":"2950","endPage":"2964","ipdsId":"IP-160755","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":428971,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Switzerland","otherGeospatial":"Illgraben basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              7.652483287223134,\n              46.32678303543372\n            ],\n            [\n              7.537233437603618,\n              46.32678303543372\n            ],\n            [\n              7.537233437603618,\n              46.23357809889305\n            ],\n            [\n              7.652483287223134,\n              46.23357809889305\n            ],\n            [\n              7.652483287223134,\n              46.32678303543372\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"49","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-05-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Konz, Anna","contributorId":336794,"corporation":false,"usgs":false,"family":"Konz","given":"Anna","email":"","affiliations":[{"id":80865,"text":"WSL, ETH","active":true,"usgs":false}],"preferred":false,"id":901070,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hirschberg, Jacob","contributorId":336795,"corporation":false,"usgs":false,"family":"Hirschberg","given":"Jacob","affiliations":[{"id":80865,"text":"WSL, ETH","active":true,"usgs":false}],"preferred":false,"id":901071,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McArdell, Brian","contributorId":336796,"corporation":false,"usgs":false,"family":"McArdell","given":"Brian","affiliations":[{"id":80280,"text":"WSL","active":true,"usgs":false}],"preferred":false,"id":901072,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mirus, Benjamin B. 0000-0001-5550-014X","orcid":"https://orcid.org/0000-0001-5550-014X","contributorId":267912,"corporation":false,"usgs":true,"family":"Mirus","given":"Benjamin B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":901073,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"de Haas, Tjalling","contributorId":336830,"corporation":false,"usgs":false,"family":"de Haas","given":"Tjalling","affiliations":[],"preferred":false,"id":901140,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bartelt, Perry","contributorId":336797,"corporation":false,"usgs":false,"family":"Bartelt","given":"Perry","affiliations":[{"id":80867,"text":"SLF","active":true,"usgs":false}],"preferred":false,"id":901074,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Molnar, Peter","contributorId":336798,"corporation":false,"usgs":false,"family":"Molnar","given":"Peter","affiliations":[{"id":80868,"text":"ETH","active":true,"usgs":false}],"preferred":false,"id":901075,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70254332,"text":"sir20235135 - 2024 - Reservoir evolution, downstream sediment transport, downstream channel change, and synthesis of geomorphic responses of Fall Creek and Middle Fork Willamette River to water years 2012–18 streambed drawdowns at Fall Creek Lake, Oregon","interactions":[],"lastModifiedDate":"2026-01-30T19:36:55.747271","indexId":"sir20235135","displayToPublicDate":"2024-05-17T15:00:08","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":"2023-5135","displayTitle":"Reservoir Evolution, Downstream Sediment Transport, Downstream Channel Change, and Synthesis of Geomorphic Responses of Fall Creek and Middle Fork Willamette River to Water Years 2012–18 Streambed Drawdowns at Fall Creek Lake, Oregon","title":"Reservoir evolution, downstream sediment transport, downstream channel change, and synthesis of geomorphic responses of Fall Creek and Middle Fork Willamette River to water years 2012–18 streambed drawdowns at Fall Creek Lake, Oregon","docAbstract":"<h1>Executive Summary</h1><h5>Chapter A. Introduction</h5><p>Fall Creek Dam impounds Fall Creek Lake, a 10-kilometer-long reservoir in western Oregon and is operated by the U.S. Army Corps of Engineers (USACE) primarily for flood-risk management (or flood control) in late autumn through early spring months, as well as for water quality, irrigation, recreation, and habitat in late spring through early autumn. Since 2011 (water year [WY] 2012), Fall Creek Lake has been temporarily drawn down each year to facilitate downstream passage of juvenile spring Chinook salmon (<i>Oncorhynchus tshawytscha</i>) through the 55-meter (m) high dam. This annual dam operation is temporary, typically lasting about 1–2 weeks from WY 2012 through 2020 (drawdown operations in WY 2022–24 have increased to more than 6 weeks). Drawdown of the reservoir results in lake levels being lowered to the elevation near the historical, pre-dam streambed. The annual streambed drawdowns of WY 2012–18 have improved fish passage and led the USACE to formally adopt streambed drawdowns as part of annual operations at Fall Creek Dam. However, temporarily lowering the lake to streambed creates free-flowing conditions in the reservoir that result in the erosion and episodic export of predominantly sand and finer-grained sediments (less than 2 millimeters [mm]) to the lower gravel-bed reaches of Fall Creek and the Middle Fork Willamette River. The introduction of large volumes of sand and finer-grain sediment into the dam-regulated reaches downstream from Fall Creek Dam prompted questions about the geomorphic responses to annual streambed drawdowns within Fall Creek Lake and downstream reaches along Fall Creek and the Middle Fork Willamette River. The U.S. Geological Survey (USGS) in partnership with USACE initiated a comprehensive geomorphic and sediment transport investigation to assess the coupled processes of reservoir erosion, sediment evacuation from Fall Creek Lake, and patterns of sediment transport and deposition in reaches downstream from the Fall Creek Dam that have resulted from annual streambed drawdowns.</p><p>The purpose of this report is to systematically describe the processes of sediment erosion, transport, and deposition at Fall Creek Lake and geomorphic interactions between reaches upstream and downstream from Fall Creek Dam that relate to dam operations. Specifically, this report focuses on evaluating geomorphic responses to streambed drawdowns from WY 2012 through 2018 and placing drawdown-induced geomorphic responses within the broader context of physiographic and historical conditions and dam operations of Fall Creek and Middle Fork Willamette Rivers. Key objectives for this study were to characterize changes in reservoir morphology and substrate at Fall Creek Lake, describe the character and temporal pattern of sediment transport downstream from Fall Creek Dam, characterize geomorphic changes in channel reaches downstream from the Fall Creek Dam, and relate these data to the annual streambed drawdowns of WY 2012–18. This study uses multiple independent monitoring and measurement approaches to assess site, reach, and river-scale geomorphic responses to drawdowns to inform dam and reservoir management. Patterns and processes of reservoir evolution were assessed with geomorphic mapping and volumetric analyses of topography through comparison of multiple digital surface models (DSMs). Just downstream from Fall Creek Dam, analyses of sediment export from the reservoir focused on suspended sediment but also incorporated bedload analyses to assess sediment sizes. Geomorphic assessments downstream from the dam used reach-scale and site-scale approaches to document changes in channel morphology and substrate, including site measurements of sand and finer-grained sediment deposition and in-channel bed-material, volumetric change analyses from comparison of digital elevation models (DEMs), and repeat geomorphic mapping. Findings from this study inform river management and dam operations by providing an understanding of (1) coupled upstream-downstream geomorphic responses to the Fall Creek Lake streambed drawdowns, (2) geomorphic responses of Fall Creek Lake streambed drawdowns in comparison to drawdowns at other large dams, (3) controls on reservoir erosion and downstream geomorphic responses, and (4) implications for future hydrogeomorphic changes that may result from continued drawdowns and monitoring activities to assess those changes.</p><h5>Chapter B. Reservoir Morphology and Evolution Related to Dam Operations at Fall Creek Lake</h5><p>To understand the volume and distribution of sediment accumulation in Fall Creek Lake since dam closure in 1965, decadal-scale sedimentation patterns (spanning approximately 1965–2016) are evaluated using a combination of storage curve analyses and geomorphic mapping. Short-term (drawdown event-scale) patterns of erosion, sedimentation, and sediment export downstream are evaluated using a combination of geomorphic mapping and change detection analyses that quantify the distribution and total volume of sediment erosion and deposition within Fall Creek Lake.</p><p>Geomorphic mapping of reservoir topography and analyses of historical datasets reveals four categories of landforms and sediment processes within Fall Creek Lake related to lake level operations:</p><ul><li>lacustrine sedimentation expressed in the reservoir floor,</li><li>fluvial erosion and deposition within historical stream channels during streambed drawdowns,</li><li>channel-like features created by erosion within the reservoir floor during streambed drawdowns, and</li><li>erosion on reservoir hillslopes.</li></ul><p>Where the reservoir floor is mapped for this study as pelagic (deep water), deposition up to 3 meters (m) thick by lacustrine processes and burial of pre-dam topography with deposits thinning toward the edges of the valley floor and upstream areas of reservoir are observed. Despite over 50 years of sediment accumulation since dam construction, the main stream channels of Fall and Winberry Creeks (or reservoir thalwegs) through the reservoir are well defined, though their distinct morphology is likely influenced by a long history of recurring historical drawdowns to or near streambed since dam construction. Unregulated streamflow and sediment transport through the reservoir primarily are confined to these channels during the streambed drawdown periods. Erosional channel-like features created by drawdowns are carved through underlying, unconsolidated reservoir floor sediments and are most prominent in the lower reservoir below minimum conservation pool (the low pool elevation during winter flood season); sediment generated from the formation of these drawdown channels is more likely to be transported through and out of the reservoir than sediment deposits along the reservoir hillslopes at the valley margins that are separated from main channels by areas of low-gradient reservoir floor. Morphologic changes in the lower reservoir topography between January 2012 and November 2016 indicate overall net erosion of about 129,500 cubic meters (m<sup>3</sup>). The most prominent geomorphic changes occurred along the main channels of Fall and Winberry Creeks near the Fall Creek Dam where incision, lateral migration, and slumping banks resulted in vertical and lateral adjustments to channel position, whereas most changes fell below the detectable limit on higher-elevation reservoir floor surfaces except where erosion occurred along features mapped as drawdown channels.</p><h5>Chapter C. Sediment Delivery from Fall Creek Lake and Transport through Downstream Reaches</h5><p>USGS implemented a sediment monitoring program in WY 2013–18 to evaluate the quantity and character of reservoir sediment exported from Fall Creek Lake during streambed drawdowns. Turbidity and suspended sediments were monitored annually autumn through spring to span the WY 2013–18 streambed drawdowns; however, unequal monitoring timeframes each year reduced the ability to compare results and factors affecting sediment export from the reservoir difficult between years. These data were originally measured to develop regressions and compute suspended-sediment loads (SSL). Bedload sediment monitoring from a cableway at the Fall Creek streamgage was completed in the autumn-winter of WY 2013 and 2017. The limited number of samples and presumed variability in sediment supply from the reservoir precluded construction of streamflow and bedload discharge relations to compute more than instantaneous bedload.</p><p>Sand and finer-grained silts and clays were transported from the reservoir in suspension, though some coarser grains (up to 32 mm) were also mobilized and transported downstream from the dam as bedload. Observations of increased sediment transport downstream from Fall Creek Dam coincided with lake levels approaching about 3 m (10 feet [ft] or elevation 690 ft) above the streambed regulating outlets. Suspended-sediment loads computed for the full monitoring periods WY 2013–18 at the Fall Creek streamgage, located 1.4 kilometers (km) downstream from Fall Creek Dam, range from 54,700 metric tons (t) in WY 2013 to 13,900 t in WY 2018. Although the total annual SSL varied from year to year, the overall seasonal patterns of suspended sediment transport throughout each year were similar during monitoring in WY 2013-18. Suspended-sediment loads were low prior to the drawdown, then increased rapidly as lake levels lowered and approached the streambed. In the weeks following the drawdown period, as pool levels were increased, SSL remained slightly elevated above pre-drawdown levels but generally declined through the following winter and spring except during streamflow-driven pulses of suspended-sediment transport. WY 2013 had the greatest total computed SSL for each streambed drawdown and partial-year monitoring period. SSL computed for the partial-year period have generally decreased since WY 2013 and have varied by about 6,800 t with the exception of WY 2014. WY 2014 SSL reflects anomalously low sediment export due to low streamflows and freezing conditions that stabilized reservoir floor deposits. Bedload measurements in the short 1.4-km reach between Fall Creek Dam and the Fall Creek streamgage showed an inverse correlation between bedload transport rates and discharge, which probably reflects diminishing supply of coarse-sized sediment. Sand was more abundant (60–100 percent) than gravel in bedload samples confirming sand and finer-grained sediment dominated sediment evacuated from the reservoir during streambed drawdowns at Fall Creek Lake.</p><h5>Chapter D. Geomorphic Responses to Fall Creek Lake Streambed Drawdowns Downstream from Fall Creek Dam</h5><p>In the days, weeks, and months following streambed drawdown operations at Fall Creek Dam through WY 2018, sites downstream from the dam displayed a variety of geomorphic responses to reservoir sediment delivery within the main channel and overbank areas. Evaluation of streambed elevations at two streamgages located 1.4 km downstream from the dam on Fall Creek and 16.3 km downstream from the dam on the Middle Fork Willamette River indicated the effects of drawdown sediment on bed elevations were modest and transient. Repeat particle size measurements (October 2015 and September 2016) at five sites along Fall Creek and the Middle Fork Willamette River showed similar grain-sized distributions that do not reveal substantial deposition of fine-grained sediment related to the WY 2016 streambed drawdown. Altogether, these findings indicate that transport capacity in the main, low-flow channels of Fall Creek and Middle Fork Willamette River during WY 2012–18 was sufficient to mobilize and evacuate reservoir sediments from streambed drawdowns or other bank material and tributary sources. However, other monitoring for this study indicate low-velocity zones in off-channel areas are prime locations for sand and finer-grain sediment deposition. Patterns of overbank sediment accumulation indicate that the magnitude and timing of overbank deposition on bars and low-elevation floodplain varies with proximity to the dam, geomorphic setting, streamflows, and other factors. Sand and finer-grained reservoir sediments carried as suspended-sediment load in the reaches downstream from Fall Creek Dam were deposited in overbank areas as observed with clay-horizon markers during WY 2016–17. Overbank deposition quantified with Geomorphic Change Detection (GCD) software evaluated landform-scale patterns of erosion and deposition using repeat light detection and ranging (lidar) surveys at two sites in the Upper Fall Creek reach and one site in the Jasper reach for 3 years (2012–15) and one site in the Clearwater reach for 6 years (2009–15). Deposition thickness and spatial patterns from the GCD analysis were variable; some sites had dispersed but measurable deposition while at others, deposition was highly localized and exceeded 1 m in depth. Patterns of overbank deposition illustrate interactions among bar morphology, local hydraulics, and suspended-sediment transport dynamics that can create patches of highly localized deposition. The measured deposition at the two Fall Creek GCD sites likely resulted from reservoir sediments released from Fall Creek Lake during streambed drawdowns in WY 2016 and 2017 because the limited sediment inputs from bank material (geomorphically laterally stable reach) or tributaries (no significant tributaries) provided few other sediment sources. On the Middle Fork Willamette River, observed patterns of overbank deposition could reflect sediment sourced from upstream tributaries, bank erosion, or Fall Creek Lake streambed drawdown operations.</p><p>Despite the introduction of several thousand tons of reservoir sediment delivered from the Fall Creek Lake streambed drawdowns to below-dam river corridors, reach-scale mapping of channel features downstream from Fall Creek Dam shows minimal evidence of changes in channel planform or landforms that can be attributed to a drawdowns in WY 2012–16. On Upper Fall Creek reach, widespread increases in gravel bars or other in-channel sediment did not result from the five streambed drawdowns. The main changes attributable to sediment releases from Fall Creek Lake were localized increases in vegetated bar area, particularly on channel margin areas where sand and finer-grain sediment was deposited and rapidly colonized by vegetation. The area of mapped secondary water features decreased between 2005 and 2016, but that may be due to lower discharges depicted in the 2016 aerial photographs and less mapped area of inundation. Primary changes along the Lower Fall Creek reach include a 6.4 percent decrease in area of secondary water features between 2011 and 2016, and a nearly twofold increase in the area of unvegetated bars. Immediately downstream from the Fall Creek confluence, there were negligible changes in the location and areas of vegetated bars and the main wetted channel between 2005 and 2016, and local increases in bar area cannot be attributed solely to deposition of reservoir sediments from Fall Creek Lake because (1) areas along the Middle Fork Willamette River just upstream from the Fall Creek confluence display similar type and magnitude of changes and (2) some of the increases at the confluence area pre-date the drawdowns. The cumulative effect of sediment releases from Fall Creek Lake streambed drawdowns from WY 2012 to 2016 on downstream channel planform and landforms are modest compared to the river-scale transformations and planform changes that occurred in the decades following dam construction.</p><h5>Chapter E. Discussion of Geomorphic Responses of Fall Creek and Middle Fork Willamette River to Streambed Drawdowns at Fall Creek Lake</h5><p>Multiple aspects of Fall Creek Dam infrastructure and operations exert first-order controls on the magnitudes of reservoir erosion that occur during the streambed drawdowns and ultimately determine the sediment delivery to downstream reaches. Key aspects of the dam and its operations that are most relevant to assessing geomorphic responses to streambed drawdowns include the (1) dam infrastructure, including configuration and size of regulating outlets and their proximity to the streambed which dictates the capacity and competence of the river to deliver sediment to downstream reaches and mode of sediment transport as suspended-sediment load or bedload; (2) frequency of historical drawdowns and long-term, year-round dam operations and lake level management, which partly dictate reservoir morphology and locations and magnitudes of readily erodible materials; (3) dam operations and hydroclimatic conditions during the streambed drawdown (including length of the drawdown and streamflows entering the reservoir), which directly control the timing, duration and magnitude of reservoir erosion and sediment evacuation; and (4) dam operations following the streambed drawdown operation that regulate streamflows (and thereby sediment transport conditions) downstream of Fall Creek Dam which primarily reflect interactions between hydroclimatic conditions and flood control operations.</p><p>Patterns of sediment erosion and evacuation observed in this study at Fall Creek Lake from WY 2012–18 suggest that reservoir erosion during annual streambed drawdowns may remain similar or decrease in future years assuming (1) annual streambed drawdown operations are implemented in similar manner as the WY 2012–18 drawdowns (in terms of duration, late autumn or early winter implementation, rate of pool-level lowering to reach streambed, and other factors), (2) streambed drawdowns coincide with similar conditions as were observed WY 2012–18 (similar sediment yield into reservoir, low reservoir inflows, limited precipitation, moderate air temperature), and (3) no major geomorphic changes in the main reservoir channels of Fall and Winberry Creeks occur (for example, channel avulsion). Under such conditions, it is hypothesized that the stream channel within the reservoir would achieve a quasi-equilibrium state with respect to annual influx and export of sediment and aided by the substantial amount of in-channel bedrock, will remain laterally stable without erosion across reservoir deposits.</p><p>Patterns of sediment transport measured at the Fall Creek streamgage downstream from Fall Creek Dam provide insight into the potential effects of future streambed drawdowns at Fall Creek Lake. Analyses of suspended sediment measured in WY 2013–18 show a major reduction in suspended-sediment loads between WY 2013 and later years, indicating streamflows transporting sediment through the reservoir to downstream reaches during streambed drawdowns have become supply limited. The 6-year suspended-sediment monitoring and sampling program is insufficient to make predictions about future sediment transport conditions because of uneven monitoring periods and varying controls on reservoir sediment erosion. It is likely that future suspended-sediment loads will be variable but similar to those observed in WY 2015–18 if operational, climatic, and geomorphological factors remain similar to those monitored WY 2015–18. Suspended-sediment loads downstream from Fall Creek Lake will likely remain highest when regulating outlets are fully open and Fall Creek is free flowing with the reservoir fully drained with little to no residual pool. Over time, it is possible that the suspended-sediment loads would reflect mobilization of reservoir sediment deposited in the previous year rather than erosion of sediment deposited years or decades earlier. Bedload is likely to remain a small fraction of the total sediment load evacuated from the reservoir and is relatively modest compared with pre-dam bedload transport rates because most coarse sediment remains trapped by the dam.</p><p>If sediment releases from Fall Creek Lake and ensuing streamflow conditions follow a similar pattern in the future as was assessed in this study spanning WY 2012–18, near-term geomorphic adjustments downstream of the dam are expected to be modest. Barring major operational, climatic, and geomorphological changes, local site-scale deposition on bars, overbank areas, or off-channel features that persists several months after the streambed drawdown will likely continue to be highly variable, ranging from negligible to several centimeters of deposition. At the landform-scale, low velocity areas nearest to Fall Creek Dam will likely continue to undergo rapid deposition immediately during and after a streambed drawdown event, similar to patterns observed for WY 2012–18. Some of the sediment entering these off-channel features and margin areas may be temporarily stored, then later remobilized and dispersed farther downstream. But if newly deposited sediment persists through the following spring, there is a greater likelihood that local vegetation will establish, reinforce deposited material, and trap sediment during later drawdowns. The reach-scale geomorphic changes may become more apparent if (1) streambed drawdowns continued for several decades, and geomorphic changes were measured at decadal scales or (2) the amount of sediment introduced to downstream reaches substantially increased and (or) sediment transport capacity decreased. The continued streamflow regulation of Fall Creek Dam after sediment releases provides an opportunity to strategically manage streamflows during and after the streambed drawdowns to minimize downstream sediment impacts and ensure other operational thresholds are satisfied.</p><p>This study provides a comprehensive foundation of datasets and geomorphic analyses to inform dam operations at Fall Creek Lake, monitor sediment transport downstream, and consider operational schemes for future drawdowns. The datasets from this study also provide baselines of sediment transport and geomorphic conditions to assess future changes in reservoir and downstream environments. Future monitoring could be tailored to address specific questions regarding the long-term geomorphic effects of streambed drawdowns on fluvial habitats, flood hazards, cultural resources, or downstream water quality. Future monitoring activities could focus on the relevant geomorphic processes and spatial domains within the three categories used for this study: (1) reservoir erosion and net sediment evacuation, (2) sediment delivery to downstream reaches, including magnitude and temporal pattern of sediment transport, and (3) geomorphic responses of downstream reaches to sediment delivery. Specifically, high priority future monitoring activities could include:</p><ul><li>Repeat topographic or photographic surveys in the reservoir to characterize changes occurring within individual drawdowns, to quantify sediment export, to determine temporal changes in reservoir storage, and to identify locations of erosion and deposition.</li><li>Continuous, year-round turbidity monitoring supplemented with suspended-sediment measurements at a streamflow-gaging station immediately downstream from the dam to quantify sediment export.</li><li>Repeat geomorphic monitoring, mapping, or modeling in downstream reaches to track changes in channel and over bank features using a combination of site- and reach-scale monitoring approaches. This could support assessments of sediment deposition and ensuing vegetation encroachment on flood hazards and habitats and examine how sediment transport and depositional processes may be affected by different sediment supply, streamflow, or dam management scenarios.</li></ul>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235135","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Keith, M.K., Wallick, J.R., Schenk, L.N., Stratton Garvin, L.E., Gordon, G.W., and Bragg, H.M., 2024, Reservoir evolution, downstream sediment transport, downstream channel change, and synthesis of geomorphic responses of Fall Creek and Middle Fork Willamette River to water years 2012–18 streambed drawdowns at Fall Creek Lake, Oregon: U.S. Geological Survey Scientific Investigations Report 2023–5135, 155 p., https://doi.org/10.3133/sir20235135.","productDescription":"Report: xiv, 155 p.; 4 Data Releases","onlineOnly":"Y","ipdsId":"IP-101970","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":499397,"rank":10,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116982.htm","linkFileType":{"id":5,"text":"html"}},{"id":428812,"rank":9,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5135/images"},{"id":428810,"rank":8,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5135/sir20235135.XML"},{"id":428809,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YZSJJJ","text":"USGS data release","description":"USGS data release","linkHelpText":"Geomorphic mapping of Fall Creek Lake, Oregon, 2016"},{"id":428808,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AYWU8Z","text":"USGS data release","description":"USGS data release","linkHelpText":"Structure-from-motion datasets of Fall Creek Lake, Oregon, acquired during annual drawdown to streambed November 2016"},{"id":428807,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9THIZD6","text":"USGS data release","description":"USGS data release","linkHelpText":"Fall Creek and Middle Fork Willamette geomorphic mapping geodatabase"},{"id":428806,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MGNDHN","text":"USGS data release","description":"USGS data release","linkHelpText":"Surficial particle count and clay horizon marker data for Fall Creek and the Middle Fork Willamette River, Oregon in 2015–2017"},{"id":428811,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235135/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2023-5135"},{"id":428805,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5135/sir20235135.pdf","text":"Report","size":"24.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5135"},{"id":428804,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5135/sir20235135.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.62005767542956,\n              43.79238965841904\n            ],\n            [\n              -121.76336822230476,\n              43.79238965841904\n            ],\n            [\n              -121.76336822230476,\n              45.82638646229083\n            ],\n            [\n              -123.62005767542956,\n              45.82638646229083\n            ],\n            [\n              -123.62005767542956,\n              43.79238965841904\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_or@usgs.gov\" data-mce-href=\"mailto:dc_or@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/oregon-water-science-center\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/oregon-water-science-center\">Oregon Water Science Center</a><br>U.S. Geological Survey<br>601 SW 2nd Avenue, Suite 1950<br>Portland, OR 97204</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Executive Summary</li><li>Chapter A. 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      -117.03121,\n                49\n              ],\n              [\n                -116.04818,\n                49\n              ],\n              [\n                -113,\n                49\n              ],\n              [\n                -110.05,\n                49\n              ],\n              [\n                -107.05,\n                49\n              ],\n              [\n                -104.04826,\n                48.99986\n              ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/programs/biological-threats-and-invasive-species-research-program/science/invasive-species\" data-mce-href=\"https://www.usgs.gov/programs/biological-threats-and-invasive-species-research-program/science/invasive-species\">Biological Threats and Invasive Species Research Program</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>What Are Dreissenid Mussels?</li><li>Dreissenid Mussel Research</li><li>Interagency Coordination and Collaboration</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2024-05-16","noUsgsAuthors":false,"publicationDate":"2024-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Morningstar, Cayla R. 0000-0002-0078-9430","orcid":"https://orcid.org/0000-0002-0078-9430","contributorId":219325,"corporation":false,"usgs":true,"family":"Morningstar","given":"Cayla","email":"","middleInitial":"R.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":899988,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kocovsky, Patrick M. 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":3429,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","middleInitial":"M.","affiliations":[{"id":251,"text":"Ecosystems Mission Area","active":false,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":899987,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Colvin, Michael E. 0000-0002-6581-4764","orcid":"https://orcid.org/0000-0002-6581-4764","contributorId":331490,"corporation":false,"usgs":true,"family":"Colvin","given":"Michael","email":"","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":899989,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Counihan, Timothy D. 0000-0003-4967-6514","orcid":"https://orcid.org/0000-0003-4967-6514","contributorId":207532,"corporation":false,"usgs":true,"family":"Counihan","given":"Timothy D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":899990,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Daniel, Wesley M. 0000-0002-7656-8474","orcid":"https://orcid.org/0000-0002-7656-8474","contributorId":219320,"corporation":false,"usgs":true,"family":"Daniel","given":"Wesley M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":899991,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":899992,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Richter, Cathy A. 0000-0001-7322-4206 crichter@usgs.gov","orcid":"https://orcid.org/0000-0001-7322-4206","contributorId":1878,"corporation":false,"usgs":true,"family":"Richter","given":"Cathy","email":"crichter@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":899993,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sepulveda, Adam 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":4187,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":899994,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Waller, Diane L. 0000-0002-6104-810X dwaller@usgs.gov","orcid":"https://orcid.org/0000-0002-6104-810X","contributorId":5272,"corporation":false,"usgs":true,"family":"Waller","given":"Diane","email":"dwaller@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":899995,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70256808,"text":"70256808 - 2024 - Records of fleas (Siphonaptera) from Delaware","interactions":[],"lastModifiedDate":"2024-08-02T14:56:11.982919","indexId":"70256808","displayToPublicDate":"2024-05-17T09:53:15","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2385,"text":"Journal of Medical Entomology","active":true,"publicationSubtype":{"id":10}},"title":"Records of fleas (Siphonaptera) from Delaware","docAbstract":"<p><span>We present an annotated checklist of fleas (Siphonaptera) known to occur in the state of Delaware based on an examination of Siphonaptera collections at the University of Delaware and the Carnegie Museum of Natural History, as well as new specimens of fleas we collected from wildlife, other hosts, and tick flags. We review published records and compile them herein with our new records, which include 3 species previously unreported from Delaware. With these additions, there are now 18 flea species from 19 avian and mammalian hosts documented from Delaware.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/jme/tjae069","usgsCitation":"Kennedy, A., Winter, W., Gardner, A., Woodman, N., Shifflett, S., Redus, S., Newcomer, J., and Eckerlin, R.P., 2024, Records of fleas (Siphonaptera) from Delaware: Journal of Medical Entomology, v. 61, no. 4, p. 959-964, https://doi.org/10.1093/jme/tjae069.","productDescription":"6 p.","startPage":"959","endPage":"964","ipdsId":"IP-162418","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":439578,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jme/tjae069","text":"Publisher Index Page"},{"id":432146,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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P.","contributorId":341841,"corporation":false,"usgs":false,"family":"Eckerlin","given":"R.","email":"","middleInitial":"P.","affiliations":[{"id":81799,"text":"Smithsonian Institution, Northern Virginia Community College","active":true,"usgs":false}],"preferred":false,"id":908995,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70254689,"text":"70254689 - 2024 - Restoring blue carbon ecosystems","interactions":[],"lastModifiedDate":"2024-06-07T13:49:17.056795","indexId":"70254689","displayToPublicDate":"2024-05-17T08:46:53","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12971,"text":"Cambridge Prisms: Coastal Futures","active":true,"publicationSubtype":{"id":10}},"title":"Restoring blue carbon ecosystems","docAbstract":"<p><span>Mangroves, tidal marshes and seagrasses have experienced extensive historical reduction in extent due to direct and indirect effects of anthropogenic land use change. Habitat loss has contributed carbon emissions and led to foregone opportunities for carbon sequestration, which are disproportionately large due to high ‘blue carbon’ stocks and sequestration rates in these coastal ecosystems. As such, there has been a rapid increase in interest in using coastal habitat restoration as a climate change mitigation tool. This review shows that restoration efforts are able to substantially increase blue carbon stocks, while also having a positive impact on various gaseous fluxes. However, blue carbon increases are spatially variable, due to biophysical factors such as climate and geomorphic setting. While there are potentially hundreds of thousands of hectares of land that may be biophysically suitable for restoration, these activities are still often conducted at small scales and with mixed success. Maximizing potential carbon gains through blue carbon restoration will require managers and coastal planners to overcome the myriad socioeconomic and governance constraints related to land tenure, legislation, target setting and cost, which often push restoration projects into locations that are biophysically unsuitable for plant colonization.</span></p>","language":"English","publisher":"Cambridge University Press","doi":"10.1017/cft.2024.9","usgsCitation":"Friess, D., Shribman, Z.I., Stankovic, M., Iram, N., Baustian, M.M., and Ewers Lewis, C.J., 2024, Restoring blue carbon ecosystems: Cambridge Prisms: Coastal Futures, v. 2, e9, 12 p., https://doi.org/10.1017/cft.2024.9.","productDescription":"e9, 12 p.","ipdsId":"IP-158845","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":439579,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/cft.2024.9","text":"Publisher Index Page"},{"id":429635,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","noUsgsAuthors":false,"publicationDate":"2024-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Friess, Daniel A.","contributorId":35454,"corporation":false,"usgs":false,"family":"Friess","given":"Daniel A.","affiliations":[{"id":25407,"text":"Department of Geography, National University of Singapore","active":true,"usgs":false}],"preferred":false,"id":902295,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shribman, Zoe I.","contributorId":337265,"corporation":false,"usgs":false,"family":"Shribman","given":"Zoe","email":"","middleInitial":"I.","affiliations":[{"id":13500,"text":"Tulane University","active":true,"usgs":false}],"preferred":false,"id":902296,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stankovic, Milica","contributorId":337267,"corporation":false,"usgs":false,"family":"Stankovic","given":"Milica","email":"","affiliations":[{"id":81004,"text":"Prince of Songkla University","active":true,"usgs":false}],"preferred":false,"id":902297,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Iram, Naima","contributorId":335158,"corporation":false,"usgs":false,"family":"Iram","given":"Naima","email":"","affiliations":[{"id":80337,"text":"Griffith University, Australia","active":true,"usgs":false}],"preferred":false,"id":902298,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baustian, Melissa Millman 0000-0003-2467-2533","orcid":"https://orcid.org/0000-0003-2467-2533","contributorId":304015,"corporation":false,"usgs":true,"family":"Baustian","given":"Melissa","email":"","middleInitial":"Millman","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":902299,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ewers Lewis, Carolyn J.","contributorId":331960,"corporation":false,"usgs":false,"family":"Ewers Lewis","given":"Carolyn","email":"","middleInitial":"J.","affiliations":[{"id":79326,"text":"Department of Environmental Sciences, University of Virginia, Charlottesville, VA","active":true,"usgs":false}],"preferred":false,"id":902300,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70257491,"text":"70257491 - 2024 - Evaluation of DNA yield from various tissue and sampling sources for use in single nucleotide polymorphism panels","interactions":[],"lastModifiedDate":"2024-09-06T15:37:05.900911","indexId":"70257491","displayToPublicDate":"2024-05-17T08:27:22","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of DNA yield from various tissue and sampling sources for use in single nucleotide polymorphism panels","docAbstract":"<p><span>Genetics studies are used by wildlife managers and researchers to gain inference into a population of a species of interest. To gain these insights, microsatellites have been the primary method; however, there currently is a shift from microsatellites to single nucleotide polymorphisms (SNPs). With the different DNA requirements between microsatellites and SNPs, an investigation into which samples can provide adequate DNA yield is warranted. Using samples that were collected from previous genetic projects from regions in the USA from 2014 to 2021, we investigated the DNA yield of eight sample categories to gain insights into which provided adequate DNA to be used in ddRADseq or already developed high- or medium-density SNP panels. We found seven sample categories that met the DNA requirements for use in all three panels, and one sample category that did not meet any of the three panels requirements; however, DNA integrity was highly variable and not all sample categories that met panel DNA requirements could be considered high quality DNA. Additionally, we used linear random-effects models to determine which covariates would have the greatest influence on DNA yield. We determined that all covariates (tissue type, storage method, preservative, DNA quality, time until DNA extraction and time after DNA extraction) could influence DNA yield.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41598-024-56128-9","usgsCitation":"Pearce, D.L., Edson, J., Jennelle, C.S., and Walter, W., 2024, Evaluation of DNA yield from various tissue and sampling sources for use in single nucleotide polymorphism panels: Scientific Reports, v. 14, 11340, 8 p., https://doi.org/10.1038/s41598-024-56128-9.","productDescription":"11340, 8 p.","ipdsId":"IP-155452","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":439581,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-024-56128-9","text":"Publisher Index Page"},{"id":433560,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Resources","active":true,"usgs":false}],"preferred":false,"id":910532,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walter, W. David 0000-0003-3068-1073","orcid":"https://orcid.org/0000-0003-3068-1073","contributorId":219540,"corporation":false,"usgs":true,"family":"Walter","given":"W. David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":910533,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70254236,"text":"dr1194 - 2024 - Distribution and abundance of Southwestern Willow Flycatchers (<i>Empidonax traillii extimus</i>) on the Upper San Luis Rey River, San Diego County, California—2023 data summary","interactions":[],"lastModifiedDate":"2024-05-17T16:43:01.242391","indexId":"dr1194","displayToPublicDate":"2024-05-17T08:03:39","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":"1194","displayTitle":"Distribution and Abundance of Southwestern Willow Flycatchers (<i>Empidonax traillii extimus</i>) on the Upper San Luis Rey River, San Diego County, California—2023 Data Summary","title":"Distribution and abundance of Southwestern Willow Flycatchers (<i>Empidonax traillii extimus</i>) on the Upper San Luis Rey River, San Diego County, California—2023 data summary","docAbstract":"<h1>Executive Summary</h1><p>We surveyed for Southwestern Willow Flycatchers (<i>Empidonax traillii extimus</i>; flycatcher) along the upper San Luis Rey River near Lake Henshaw in Santa Ysabel, California, in 2023. Surveys were completed at four locations: three downstream from Lake Henshaw, where surveys previously occurred from 2015 to 2022 (Rey River Ranch [RRR], Cleveland National Forest [CNF], Vista Irrigation District [VID]), and one at VID Lake Henshaw (VLH) that has been surveyed annually since 2018. There were a minimum of 74 territorial flycatchers detected at 1 location (VLH), and 12 transient flycatchers of unknown subspecies detected at 2 locations (CNF and VLH). At VLH, we detected a minimum of 31 males, 40 females, and 3 flycatchers of unknown sex. In total, 51 territories were established, containing 40 pairs and 11 flycatchers of undetermined breeding status (8 males and 3 flycatchers of unknown sex). Of the 40 pairs, 9–11 pairs were monogamous (1 male and 1 female), and 29–31 pairs were polygynous (1 male paired with more than 1 female). For the first time since annual surveys began in 2015, no territorial flycatchers were detected downstream from Lake Henshaw. Brown-headed cowbirds (<i>Molothrus ater</i>; cowbird) were detected at all four survey locations. No banded flycatchers were detected during surveys.</p><p>Flycatchers used three habitat types in the survey area: (1) mixed willow riparian, (2) willow-cottonwood, and (3) oak-sycamore. Of the flycatcher locations, 86 percent were in habitat characterized as mixed willow riparian, and 95 percent were in habitat with greater than 95-percent native plant cover. Exotic vegetation was not prevalent in the survey area.</p><p>There were five nests incidentally located during surveys: one failed, one was seen with eggs on the last visit, and the outcome of the remaining three nests was unknown. One of these nests was parasitized by cowbirds, and a second nest was suspected to contain a cowbird nestling. Adult flycatchers in two territories were observed feeding cowbird fledglings. No juvenile flycatchers were detected during surveys.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1194","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Howell, S.L., and Kus, B.E., 2024, Distribution and abundance of Southwestern Willow Flycatchers (<i>Empidonax traillii extimus</i>) on the Upper San Luis Rey River, San Diego County, California—2023 data summary: U.S. Geological Survey Data Report 1194, 13 p., https://doi.org/10.3133/dr1194.","productDescription":"Report: vi, 13 p.; Data Release","numberOfPages":"13","onlineOnly":"Y","ipdsId":"IP-159183","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":428713,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96VC5Y4","text":"USGS Data Release","description":"Howell, S.L., and Kus, B.E., 2022, Southwestern willow flycatcher (Empidonax traillii extimus) surveys and nest monitoring in San Diego County, California (ver. 3.0, January 2024): U.S. Geological Survey data release, https://doi.org/10.5066/P96VC5Y4.","linkHelpText":"Southwestern willow flycatcher (<i>Empidonax traillii extimus</i>) surveys and nest monitoring in San Diego County, California (ver. 3.0, January 2024)"},{"id":428708,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1194/coverthb.jpg"},{"id":428709,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1194/dr1194.pdf","text":"Report","size":"3 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":428710,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1194/dr1194.xml"},{"id":428711,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1194/images"},{"id":428712,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1194/full"}],"country":"United States","state":"California","county":"San Diego County","otherGeospatial":"Upper San Luis Rey River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -116.67091887744101,\n              33.35\n            ],\n            [\n              -117.01171343822598,\n              33.35\n            ],\n            [\n              -117.01171343822598,\n              33.1167\n            ],\n            [\n              -116.67091887744101,\n              33.1167\n            ],\n            [\n              -116.67091887744101,\n              33.35\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/werc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/werc\">Western Ecological Research Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>3020 State University Drive East<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Acknowledgements</li><li>Executive Summary</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2024-05-17","noUsgsAuthors":false,"publicationDate":"2024-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Howell, Scarlett L. 0000-0001-7538-4860 showell@usgs.gov","orcid":"https://orcid.org/0000-0001-7538-4860","contributorId":140441,"corporation":false,"usgs":true,"family":"Howell","given":"Scarlett","email":"showell@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":900704,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kus, Barbara E. 0000-0002-3679-3044 barbara_kus@usgs.gov","orcid":"https://orcid.org/0000-0002-3679-3044","contributorId":3026,"corporation":false,"usgs":true,"family":"Kus","given":"Barbara E.","email":"barbara_kus@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":900705,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
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