Debris flow erosion into bedrock helps to set the pace of mountain denudation, but there are few empirical observations of this process. We studied the effects of debris flows on bedrock erosion using Structure-From-Motion photogrammetry and multiple real-time monitoring measurements. We found that the distribution of bedrock erosion across the channel cross-section could be generalized as an exponentially decreasing function of height above the channel thalweg. Using this empirical function, we simulated the erosion at a cross-section after the theoretical passage of a migrating knickpoint effectively matching the upstream pre-knickpoint cross-sectional shape to the downstream post-knickpoint cross-sectional shape via debris-flow bedrock erosion.
","conferenceTitle":"8th International Conference on Debris Flow Hazard Mitigation (DFHM8)","conferenceDate":"June 26-29, 2023","conferenceLocation":"Torino, Italy","language":"English","publisher":"E3S Web of Conferences","doi":"10.1051/e3sconf/202341503024","usgsCitation":"Rengers, F.K., Kean, J.W., Coe, J.A., Hanson, M., and Smith, J., 2023, Bedrock erosion by debris flows at Chalk Cliffs, Colorado, USA: Implications for bedrock channel evolution, 8th International Conference on Debris Flow Hazard Mitigation (DFHM8), v. 415, Torino, Italy, June 26-29, 2023, 03024, 4 p., https://doi.org/10.1051/e3sconf/202341503024.","productDescription":"03024, 4 p.","ipdsId":"IP-145430","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":442364,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1051/e3sconf/202341503024","text":"Publisher Index Page"},{"id":425947,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Chalk Cliffs","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -106.15715370629714,\n 38.746275047848656\n ],\n [\n -106.22600073568945,\n 38.746275047848656\n ],\n [\n -106.22600073568945,\n 38.705844444526775\n ],\n [\n -106.15715370629714,\n 38.705844444526775\n ],\n [\n -106.15715370629714,\n 38.746275047848656\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"415","noUsgsAuthors":false,"publicationDate":"2023-08-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":862444,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":895352,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":895353,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hanson, Megan","contributorId":334352,"corporation":false,"usgs":false,"family":"Hanson","given":"Megan","email":"","affiliations":[],"preferred":false,"id":895354,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Joel","contributorId":334353,"corporation":false,"usgs":false,"family":"Smith","given":"Joel","email":"","affiliations":[{"id":6736,"text":"Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":895355,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70238393,"text":"70238393 - 2023 - Groundwater and petroleum","interactions":[],"lastModifiedDate":"2023-08-24T15:06:41.315845","indexId":"70238393","displayToPublicDate":"2023-08-18T10:05:55","publicationYear":"2023","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"title":"Groundwater and petroleum","docAbstract":"No abstract available.
","language":"English","publisher":"The Groundwater Project","usgsCitation":"Kharaka, Y., Hitchon, B., and Hanor, J.S., 2023, Groundwater and petroleum, x, 375 p.","productDescription":"x, 375 p.","ipdsId":"IP-145087","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":420120,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":420119,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://gw-project.org/books/groundwater-and-petroleum/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kharaka, Yousif 0000-0001-9861-8260","orcid":"https://orcid.org/0000-0001-9861-8260","contributorId":208461,"corporation":false,"usgs":true,"family":"Kharaka","given":"Yousif","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":857350,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hitchon, Brian","contributorId":299213,"corporation":false,"usgs":false,"family":"Hitchon","given":"Brian","email":"","affiliations":[{"id":64791,"text":"President, Hitchon Geochemical Services, Edmonton Canada","active":true,"usgs":false}],"preferred":false,"id":857351,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hanor, Jeffrey S.","contributorId":299214,"corporation":false,"usgs":false,"family":"Hanor","given":"Jeffrey","email":"","middleInitial":"S.","affiliations":[{"id":64792,"text":"Emeritus Professor LSU, Baton Rouge, LA","active":true,"usgs":false}],"preferred":false,"id":857352,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70249844,"text":"70249844 - 2023 - Ground‐motion variability from kinematic rupture models and the implications for nonergodic probabilistic seismic hazard analysis","interactions":[],"lastModifiedDate":"2023-11-02T14:54:05.009294","indexId":"70249844","displayToPublicDate":"2023-08-18T09:46:52","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Ground‐motion variability from kinematic rupture models and the implications for nonergodic probabilistic seismic hazard analysis","docAbstract":"The variability of earthquake ground motions has a strong control on probabilistic seismic hazard analysis (PSHA), particularly for the low frequencies of exceedance used for critical facilities. We use a crossed mixed‐effects model to partition the variance components from simulated ground motions of
Debris-flow volume is fundamental to mobility, yet many debris flows change volume as they travel. Growth can occur through diverse processes such as channel-bed entrainment, bank failures, aggregation of landslides, and coalescence of multiple flows. Integrating growth, either over upslope area or stream length, combines the effects of these growth processes and requires specification of only the growth zone extent and a growth factor. To delineate potential debris-flow inundation, we implement integrated growth factors and simple volume-area relations in a new USGS software package, Grfin Tools. We present two examples of forecasting debris-flow inundation – one using an area growth factor in Puerto Rico and another using a channel-length growth factor in Oregon, USA. The use of growth zones and growth factors enables scenario-based hazard assessments for geomorphic settings with debris-flow growth.
","conferenceTitle":"8th International Conference on Debris Flow Hazard Mitigation (DFHM8)","conferenceDate":"June 26-29, 2023","conferenceLocation":"Torino, Italy","language":"English","publisher":"EDP Sciences","doi":"10.1051/e3sconf/202341505021","usgsCitation":"Reid, M.E., Brien, D.L., Cronkite-Ratcliff, C., and Perkins, J.P., 2023, Using integrated growth to delineate debris-flow inundation, 8th International Conference on Debris Flow Hazard Mitigation (DFHM8), v. 4, Torino, Italy, June 26-29, 2023, 05021, 4 p., https://doi.org/10.1051/e3sconf/202341505021.","productDescription":"05021, 4 p.","ipdsId":"IP-142693","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467097,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1051/e3sconf/202341505021","text":"Publisher Index Page"},{"id":462602,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","noUsgsAuthors":false,"publicationDate":"2023-08-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Reid, Mark E. 0000-0002-5595-1503 mreid@usgs.gov","orcid":"https://orcid.org/0000-0002-5595-1503","contributorId":1167,"corporation":false,"usgs":true,"family":"Reid","given":"Mark","email":"mreid@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":914980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brien, Dianne L. 0000-0003-3227-7963 dbrien@usgs.gov","orcid":"https://orcid.org/0000-0003-3227-7963","contributorId":229851,"corporation":false,"usgs":true,"family":"Brien","given":"Dianne","email":"dbrien@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":914981,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cronkite-Ratcliff, Collin 0000-0001-5485-3832 ccronkite-ratcliff@usgs.gov","orcid":"https://orcid.org/0000-0001-5485-3832","contributorId":203951,"corporation":false,"usgs":true,"family":"Cronkite-Ratcliff","given":"Collin","email":"ccronkite-ratcliff@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":914982,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perkins, Jonathan P. 0000-0002-6113-338X","orcid":"https://orcid.org/0000-0002-6113-338X","contributorId":237053,"corporation":false,"usgs":true,"family":"Perkins","given":"Jonathan","email":"","middleInitial":"P.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":914983,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70247852,"text":"70247852 - 2023 - Runout model evaluation based on back-calculation of building damage","interactions":[],"lastModifiedDate":"2023-08-23T10:59:31.85972","indexId":"70247852","displayToPublicDate":"2023-08-18T09:17:24","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Runout model evaluation based on back-calculation of building damage","docAbstract":"We evaluated the ability of three debris-flow runout models (RAMMS, FLO2D and D-Claw) to\npredict the number of damaged buildings in simulations of the 9 January 2019 Montecito, California, debris-flow event. Observations of building damage after the event were combined with OpenStreetMap building footprints to construct a database of all potentially impacted buildings. At the estimated event volume, all models overpredict the number of damaged buildings by a factor of 1.5–3.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"E3S Web of Conferences","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2023 8th International Conference on Debris Flow Hazard Mitigation (DFHM8)","conferenceDate":"June 26-29, 2023","conferenceLocation":"Turin, Italy","language":"English","publisher":"EDP Sciences","doi":"10.1051/e3sconf/202341507001","usgsCitation":"Barnhart, K.R., and Kean, J.W., 2023, Runout model evaluation based on back-calculation of building damage, in E3S Web of Conferences, v. 415, Turin, Italy, June 26-29, 2023, 07001, 4 p., https://doi.org/10.1051/e3sconf/202341507001.","productDescription":"07001, 4 p.","ipdsId":"IP-142508","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":442368,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1051/e3sconf/202341507001","text":"Publisher Index Page"},{"id":420016,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Montecito","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.66612886667129,\n 34.46992292512056\n ],\n [\n -119.66612886667129,\n 34.4075932985982\n ],\n [\n -119.57147580590843,\n 34.4075932985982\n ],\n [\n -119.57147580590843,\n 34.46992292512056\n ],\n [\n -119.66612886667129,\n 34.46992292512056\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"415","noUsgsAuthors":false,"publicationDate":"2023-08-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Barnhart, Katherine R. 0000-0001-5682-455X","orcid":"https://orcid.org/0000-0001-5682-455X","contributorId":257870,"corporation":false,"usgs":true,"family":"Barnhart","given":"Katherine","email":"","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":880750,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":880751,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70247849,"text":"70247849 - 2023 - Forecasting the inundation of postfire debris flows","interactions":[],"lastModifiedDate":"2023-08-22T14:19:38.055802","indexId":"70247849","displayToPublicDate":"2023-08-18T09:08:48","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Forecasting the inundation of postfire debris flows","docAbstract":"In the semi-arid regions of the western United States, postfire debris flows are typically runoff\ngenerated. The U.S. Geological Survey has been studying the mechanisms of postfire debris-flow initiation for multiple decades to generate operational models for forecasting the timing, location, and magnitude of postfire debris flows. Here we discuss challenges and progress for extending operational capabilities to include modeling postfire debris-flow inundation extent. Analysis of volume and impacted area scaling relationships indicated that postfire debris flows do not conform to assumptions of geometric self-similarity. We documented sensitivity of impacted areas to rainfall intensity using a candidate methodology for generating inundation hazard assessments. Our results emphasize the importance of direct measurements of debris-flow volume, inundated area, and high temporal resolution rainfall intensity.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"E3S Web of Conferences","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2023 8th International Conference on Debris Flow Hazard Mitigation (DFHM8)","conferenceDate":"June 26-29, 2023","conferenceLocation":"Turin, Italy","language":"English","publisher":"EDP Sciences","doi":"10.1051/e3sconf/202341504002","usgsCitation":"Barnhart, K.R., Jones, R., George, D.L., Rengers, F.K., and Kean, J.W., 2023, Forecasting the inundation of postfire debris flows, in E3S Web of Conferences, v. 415, Turin, Italy, June 26-29, 2023, 04002, 4 p., https://doi.org/10.1051/e3sconf/202341504002.","productDescription":"04002, 4 p.","ipdsId":"IP-146470","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":442370,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1051/e3sconf/202341504002","text":"Publisher Index Page"},{"id":420015,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Montecito","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.66612886667129,\n 34.46992292512056\n ],\n [\n -119.66612886667129,\n 34.4075932985982\n ],\n [\n -119.57147580590843,\n 34.4075932985982\n ],\n [\n -119.57147580590843,\n 34.46992292512056\n ],\n [\n -119.66612886667129,\n 34.46992292512056\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"415","noUsgsAuthors":false,"publicationDate":"2023-08-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Barnhart, Katherine R. 0000-0001-5682-455X","orcid":"https://orcid.org/0000-0001-5682-455X","contributorId":257870,"corporation":false,"usgs":true,"family":"Barnhart","given":"Katherine","email":"","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":880741,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Ryan P 0000-0001-6363-7592","orcid":"https://orcid.org/0000-0001-6363-7592","contributorId":328597,"corporation":false,"usgs":false,"family":"Jones","given":"Ryan P","affiliations":[{"id":78420,"text":"Flow Science","active":true,"usgs":false}],"preferred":false,"id":880742,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"George, David L. 0000-0002-5726-0255 dgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-5726-0255","contributorId":3120,"corporation":false,"usgs":true,"family":"George","given":"David","email":"dgeorge@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":880743,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":880744,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":880745,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70247875,"text":"70247875 - 2023 - Cost-benefit analysis for evacuation decision-support: Challenges and possible solutions for applications in areas of distributed volcanism","interactions":[],"lastModifiedDate":"2023-08-22T12:22:23.847473","indexId":"70247875","displayToPublicDate":"2023-08-18T07:20:21","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3841,"text":"Journal of Applied Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Cost-benefit analysis for evacuation decision-support: Challenges and possible solutions for applications in areas of distributed volcanism","docAbstract":"During a volcanic crisis, evacuation is the most effective mitigation measure to preserve life. However, the decision to call an evacuation is typically complex and challenging, in part due to uncertainties related to the behaviour of the volcano. Cost-benefit analysis (CBA) can support decision-makers: this approach compares the cost of evacuating versus the expected loss from not evacuating, expressed as a ‘break-even’ probability of fatality. Here we combine CBA with a Bayesian Event Tree for Short-term Volcanic Hazard (BET_VHst) to create an evacuation decision-support tool to identify locations that are cost-beneficial to evacuate in the event of volcanic unrest within a distributed volcanic field. We test this approach with the monogenetic Auckland Volcanic Field (AVF), situated beneath the city of Auckland, New Zealand. We develop a BET_VHst for the AVF, extending a recently revised Bayesian Event Tree for Eruption Forecasting (BET_EF) to consider the eruptive style, phenomena produced, and the impact exceedance probability as a function of distance. The output of the BET_VHst is a probability of volcanic hazard impact at a given location. Furthermore, we propose amending the weight of the monitoring component within the BET_VHst framework to a transitional parameter, addressing limitations identified in a previous study. We examine how three possible transitional monitoring component weights affect the spatial vent likelihood and subsequent BET_VHst outputs, compared to the current default weight. For the CBA, we investigate four thresholds, based on two evacuation durations and two different estimates for the value of life that determine the cost of not evacuating. The combinations of CBA and BET_VHst are tested using a synthetic unrest dataset to define an evacuation area for each day. While suitable evacuation areas were identified, there are further considerations required before such an approach can be applied operationally to support crisis management.
","language":"English","publisher":"Springer Nature","doi":"10.1186/s13617-023-00133-6","usgsCitation":"Wild, A., Bebbington, M.S., Lindsay, J., and Deligne, N.I., 2023, Cost-benefit analysis for evacuation decision-support: Challenges and possible solutions for applications in areas of distributed volcanism: Journal of Applied Volcanology, v. 12, 7, 25 p., https://doi.org/10.1186/s13617-023-00133-6.","productDescription":"7, 25 p.","ipdsId":"IP-146426","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":442371,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s13617-023-00133-6","text":"Publisher Index Page"},{"id":420008,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"New Zealand","otherGeospatial":"Auckland Volcanic Field vent","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 174.15282322348048,\n -36.41787365700315\n ],\n [\n 174.15282322348048,\n -37.401289436079715\n ],\n [\n 175.62435982533628,\n -37.401289436079715\n ],\n [\n 175.62435982533628,\n -36.41787365700315\n ],\n [\n 174.15282322348048,\n -36.41787365700315\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2023-08-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Wild, Alec 0000-0002-7688-5736","orcid":"https://orcid.org/0000-0002-7688-5736","contributorId":328631,"corporation":false,"usgs":false,"family":"Wild","given":"Alec","email":"","affiliations":[{"id":38833,"text":"University of Auckland","active":true,"usgs":false}],"preferred":false,"id":880828,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bebbington, Mark S. 0000-0003-3504-7418","orcid":"https://orcid.org/0000-0003-3504-7418","contributorId":328632,"corporation":false,"usgs":false,"family":"Bebbington","given":"Mark","email":"","middleInitial":"S.","affiliations":[{"id":13571,"text":"Massey University","active":true,"usgs":false}],"preferred":false,"id":880829,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lindsay, Jan 0000-0002-8591-3399","orcid":"https://orcid.org/0000-0002-8591-3399","contributorId":302369,"corporation":false,"usgs":false,"family":"Lindsay","given":"Jan","email":"","affiliations":[{"id":38833,"text":"University of Auckland","active":true,"usgs":false}],"preferred":false,"id":880830,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Deligne, Natalia I. 0000-0001-9221-8581","orcid":"https://orcid.org/0000-0001-9221-8581","contributorId":257389,"corporation":false,"usgs":true,"family":"Deligne","given":"Natalia","email":"","middleInitial":"I.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":880831,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70249538,"text":"70249538 - 2023 - Kesem-Kebena-Dulecha study area, Ethiopia","interactions":[],"lastModifiedDate":"2023-10-16T13:40:31.262798","indexId":"70249538","displayToPublicDate":"2023-08-18T07:00:48","publicationYear":"2023","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Kesem-Kebena-Dulecha study area, Ethiopia","docAbstract":"In 1988 and 1989, the Paleoanthropological Inventory of Ethiopia (PIE) field expedition discovered numerous localities of prehistoric significance across Ethiopia (WoldeGabriel et al., 1992). One of the regions surveyed by the Inventory team was the Dulecha administrative district (Gabi Rasu), Afar Zone (Fig. 1). The surveyed area (geographic reference: 9.407° N, 40.057° E) includes the watershed vicinity of the Kesem and Kebena Rivers (tributaries of the Awash River) where Plio-Pleistocene outcrops flank the Awash floodplain parallel to the river and west of the Dofan Volcano. The Fentale Vlcano lies SSW of the Kesem-Kebena-Dulecha area, immediately south of where the Main Ethiopian Rift opens into a floodplain, and offset drainages north of the Dulecha River delimit the area on the north. The Kesem-Kebena-Dulecha area was unknown paleoanthropologically prior to the PIE’s fieldwork, which designated localities with KK (Kesem Kebena) and a unique integer for the locality. The PIE named localities from KK 1 to KK 7, ranging in age from Pliocene (KK 1 and KK 2) through later Pleistocene. Localities are identified by the white, numbered circles on Fig. 1. We continue to follow the nomenclature established by the PIE for consistency’s sake. The most significant discovery of the PIE was the Acheulean lithic and faunal assemblages at the KK 6 locality (Table 1). The PIE took several geological samples, and those from the KK 6 area date to c. 1.0 million years ago (Ma), nearly identical in age to the Harreya Pumice Unit of the Daka Member of the Bouri Formation (Gilbert & Asfaw, 2008).
Pacific lamprey (Entosphenus tridentatus) are ecologically and culturally important anadromous animals native to the West Coast of the United States. Pacific lamprey populations are in decline, and contaminants may be a contributing factor. Between 2017 and 2021, three life stages of Pacific lamprey and collocated sediment samples were collected in Oregon (larval lamprey, sediment, and returning adult lamprey) and off the coast of Oregon and Washington (ocean juvenile lamprey). Tissue and sediment samples were analyzed for 56 organohalogenated compounds that included legacy pesticides, current use pesticides, polybrominated diphenyl ether congeners, and polychlorinated biphenyl congeners. Organohalogenated compounds were detected in all three Pacific lamprey life stages. The organohalogenated compounds detected in collocated sediment and larval lamprey samples were generally dissimilar, and compounds detected in larval lamprey indicate potential point sources along the rivers. Ocean-caught juvenile lamprey had significantly higher lipid contents than returning adult lamprey, but lipid content and concentrations of select compounds were not strongly correlated. Concentrations of select compounds detected in both ocean juvenile and returning adult lamprey were either not significantly different or were higher in returning adult lamprey. Concentrations of some compounds in returning adult lamprey—which are consumed by Indigenous peoples—exceeded state and national human health consumption thresholds. Collaboration among Tribes and public-sector agencies helped make this study successful.
A total of 200,000+ large timbers were transported >75 km to Chaco Canyon, a political and religious center in the precontact U.S. Southwest, using only human power. Previous researchers reported that typical primary roof beams (vigas) of Chacoan Great Houses averaged 0.22 m in diameter and 5 m in length with a mass of 275 kg. However, the 275 kg mass appears to be a miscalculation. Here, we calculate that a ponderosa pine timber of the stated dimensions would have a mass between 85–140 kg depending on the water content. While still a prodigious load, this recalculated mass requires revisions to estimates of the labor, time, and energy required to build Great Houses at Chaco. Based on contemporary measurements on professional load carriers and soldiers, we estimate that as few as two people could have carried an 85 kg timber across 100 km in as few as 21 h of active walking.
","language":"English","publisher":"Taylor and Francis","doi":"10.1080/00231940.2022.2102841","usgsCitation":"Wilson, J.A., Weiner, R.S., Dean, J., Betancourt, J.L., and Kram, R., 2023, Transporting timbers to Chaco Canyon: How heavy, how many carriers and how far/fast?: Kiva, v. 89, no. 1, p. 78-90, https://doi.org/10.1080/00231940.2022.2102841.","productDescription":"13 p.","startPage":"78","endPage":"90","ipdsId":"IP-119250","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":422416,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-08-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilson, James A.","contributorId":331447,"corporation":false,"usgs":false,"family":"Wilson","given":"James","email":"","middleInitial":"A.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":887720,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weiner, Robert S.","contributorId":331448,"corporation":false,"usgs":false,"family":"Weiner","given":"Robert","email":"","middleInitial":"S.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":887721,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dean, Jeffrey S.","contributorId":331449,"corporation":false,"usgs":false,"family":"Dean","given":"Jeffrey S.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":887722,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":887723,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kram, Rodger","contributorId":331450,"corporation":false,"usgs":false,"family":"Kram","given":"Rodger","email":"","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":887724,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70262031,"text":"70262031 - 2023 - Adult Sea Lamprey approach and passage at the Milford Dam fishway, Penobscot River, Maine, United States","interactions":[],"lastModifiedDate":"2025-01-10T16:58:37.81057","indexId":"70262031","displayToPublicDate":"2023-08-18T00:00:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":19835,"text":"Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Adult Sea Lamprey approach and passage at the Milford Dam fishway, Penobscot River, Maine, United States","docAbstract":"Objective
Sea Lamprey Petromyzon marinus provide important ecological services within their native range, such as nutrient cycling, and can also act as a prey source for other species. Adult Sea Lamprey must access freshwater rivers to spawn, and because of this they are susceptible to changes in river connectivity. Human-made structures, such as dams, can exclude them from usable habitat. Sea Lamprey dam passage has not been extensively studied in Maine, despite Maine being within the native range of this species. The goals of this study were to evaluate upstream passage efficiency at the Milford Dam on the Penobscot River, Maine, and to provide comprehensive information about adult Sea Lamprey passage at five other dams throughout the Penobscot River watershed.
Methods
In 2020–2021 we captured and tagged 150 Sea Lamprey at the Milford Dam, the lowest dam in the Penobscot River, Maine, and displaced them downstream to assess passage efficiency at this dam and five upstream dams. In 2020, 50 Sea Lamprey were released on the east shore of the river downstream of Milford Dam; in 2021, the east shore release was repeated with an additional 50 fish and another 50 fish were released on the west shore.
Result
Between 70–82% of Sea Lamprey were observed passing Milford Dam again after mean delay times of 9–11 days. The release location did not affect dam passage success or the amount of time that was required to locate and use the passage structures. Sea Lampreys from both release groups were equally likely to approach the entrance to the fishway upon returning to Milford Dam, despite the fishway being located against the eastern shore of the river. However, high flows shortly after release may have resulted in higher attraction to the fishway in 2020. Passage success at dams upstream of Milford was highly variable. All Sea Lamprey were able to successfully navigate past West Enfield Dam (100% passage, n = 63), whereas Brownsmill Dam apparently acted as a complete barrier to further migration (0% passage, n = 7). Fish from all years and release groups together had a median upstream migration distance of 38.8 km after fish had passed Milford Dam, and a maximum observed upstream travel distance of approximately 100 km, indicating that most tagged Sea Lamprey ended their migration in the vicinity of a dam.
Conclusion
The results of this study indicate that Sea Lamprey have high passage efficiency at the Milford Dam and highlight areas within the Penobscot River basin—such as the Brownsmill Dam—where passage facilities are currently inadequate for Sea Lamprey.
","language":"English","publisher":"Wiley","doi":"10.1002/nafm.10919","usgsCitation":"Peterson, E., Thors, R., Frechette, D., and Zydlewski, J.D., 2023, Adult Sea Lamprey approach and passage at the Milford Dam fishway, Penobscot River, Maine, United States: Journal of Fisheries Management, v. 43, no. 4, p. 1052-1065, https://doi.org/10.1002/nafm.10919.","productDescription":"14 p.","startPage":"1052","endPage":"1065","ipdsId":"IP-147299","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467098,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10919","text":"Publisher Index Page"},{"id":466001,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Milford Dam fishway, Penobscot River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -68.65399945645208,\n 44.94347505924921\n ],\n [\n -68.65399945645208,\n 44.93937668118309\n ],\n [\n -68.64306273135283,\n 44.93937668118309\n ],\n [\n -68.64306273135283,\n 44.94347505924921\n ],\n [\n -68.65399945645208,\n 44.94347505924921\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"43","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-08-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Peterson, Erin","contributorId":347938,"corporation":false,"usgs":false,"family":"Peterson","given":"Erin","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":922756,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thors, Rex","contributorId":347941,"corporation":false,"usgs":false,"family":"Thors","given":"Rex","affiliations":[{"id":83269,"text":"Maine Seagrant","active":true,"usgs":false}],"preferred":false,"id":922757,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frechette, Danielle","contributorId":347942,"corporation":false,"usgs":false,"family":"Frechette","given":"Danielle","affiliations":[{"id":68617,"text":"Maine Department of Marine Resources","active":true,"usgs":false}],"preferred":false,"id":922758,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":922759,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70256438,"text":"70256438 - 2023 - Influence of invasive bigheaded carps on abundance of Gizzard Shad in the Tennessee River","interactions":[],"lastModifiedDate":"2024-08-01T16:55:39.504718","indexId":"70256438","displayToPublicDate":"2023-08-17T11:50:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Influence of invasive bigheaded carps on abundance of Gizzard Shad in the Tennessee River","docAbstract":"The Tennessee River basin and its cascade of reservoirs are home to some of the most diverse freshwater fish assemblages in the world. This unique system is threatened by the ongoing invasion of Silver Carp Hypophthalmichthys molitrix and Bighead Carp H. nobilis, hereafter referred to together as “bigheaded carps.” Bigheaded carps may directly compete for food resources with native clupeid species such as Gizzard Shad Dorosoma cepedianum, and this potential interaction could have damaging ecological and economic consequences. High relative abundances of Gizzard Shad are crucial to the Tennessee River food web and associated fisheries because of their role as a forage base for piscivorous species.
We analyzed a collection of annual gillnetting and electrofishing data spanning from 1990 to 2017 to test whether Gizzard Shad relative abundances have changed in Tennessee River reservoirs since the arrival of bigheaded carps.
Our analyses indicated that Gizzard Shad abundances have been declining but were already declining prior to the arrival of bigheaded carps in the Tennessee River.
At this stage in the invasion, we could not attribute a cause-and-effect relationship to the inverse correlation between Gizzard Shad and bigheaded carps, but we advise continued monitoring of indicators of harmful interactions.
","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10442","usgsCitation":"VanderBloemen, S., Miranda, L.E., Sass, G., Colvin, M., and Faucheux, N., 2023, Influence of invasive bigheaded carps on abundance of Gizzard Shad in the Tennessee River: Transactions of the American Fisheries Society, v. 152, no. 6, p. 809-818, https://doi.org/10.1002/tafs.10442.","productDescription":"10 p.","startPage":"809","endPage":"818","ipdsId":"IP-151633","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":442383,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/tafs.10442","text":"Publisher Index Page"},{"id":432045,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Georgia, Kentucky, North Carolina, South Carolina, Tennesee","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.89909317516306,\n 37.08146306933972\n ],\n [\n -88.89909317516306,\n 34.317119493225874\n ],\n [\n -81.70418356025009,\n 34.317119493225874\n ],\n [\n -81.70418356025009,\n 37.08146306933972\n ],\n [\n -88.89909317516306,\n 37.08146306933972\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"152","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-08-17","publicationStatus":"PW","contributors":{"authors":[{"text":"VanderBloemen, Spencer","contributorId":340575,"corporation":false,"usgs":false,"family":"VanderBloemen","given":"Spencer","email":"","affiliations":[{"id":81634,"text":"Mississippi Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":907373,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907374,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sass, Greg G.","contributorId":340576,"corporation":false,"usgs":false,"family":"Sass","given":"Greg G.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":907375,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Colvin, Michael","contributorId":340577,"corporation":false,"usgs":false,"family":"Colvin","given":"Michael","affiliations":[{"id":81635,"text":"Department of Wildlife","active":true,"usgs":false}],"preferred":false,"id":907376,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Faucheux, Nicky","contributorId":340578,"corporation":false,"usgs":false,"family":"Faucheux","given":"Nicky","affiliations":[{"id":81634,"text":"Mississippi Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":907377,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70247938,"text":"70247938 - 2023 - Spatial and temporal variation of large wood in a coastal river","interactions":[],"lastModifiedDate":"2024-02-07T16:37:38.96641","indexId":"70247938","displayToPublicDate":"2023-08-17T08:20:10","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal variation of large wood in a coastal river","docAbstract":"Large wood (LW) is a critical habitat-forming feature in rivers, but our understanding of its spatial and temporal dynamics remains incomplete due to its historical removal from waterways. Few studies have the necessary spatial and temporal extent and resolution to assess wood dynamics over long time periods or in response to flood disturbance. We used an exceptional dataset from 65 km of a free-flowing coastal river in Oregon, USA, to characterize LW dynamics over a 12-year period (1989–2000). Our objectives were to assess the spatial dynamics of LW over multiple spatial scales and characterize changes in these patterns in response to a major flood in November 1996. Higher LW densities were found in the tributaries, and higher temporal variation of density existed in the main stem. Within years and among reaches, LW density varied by 2 to 3 orders of magnitude across the river. Patterns of LW accumulation across the river were not comparably different when considered at spatial resolutions < 6 km. A large flood in 1996 homogenized the wood distribution across the system, particularly at fine spatial scales (that is, 1.5–0.1 km scales), but considerable heterogeneity was reestablished within 2–3 years post disturbance. At the habitat unit scale, LW tended to accumulate in locations with narrow channel widths, and to a lesser extent, in shallow reaches. These data highlight the dynamic nature of the natural wood regime in coastal rivers that is produced by continuous recruitment and transport through the system.
","language":"English","publisher":"SpringerLink","doi":"10.1007/s10021-023-00870-0","usgsCitation":"Yazzie, K., Torgersen, C.E., Schindler, D., and Reeves, G.H., 2023, Spatial and temporal variation of large wood in a coastal river: Ecosystems, v. 27, p. 19-32, https://doi.org/10.1007/s10021-023-00870-0.","productDescription":"14 p.","startPage":"19","endPage":"32","ipdsId":"IP-145063","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":420150,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Elk River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124.57286598859824,\n 42.864762099604405\n ],\n [\n -124.57286598859824,\n 42.65\n ],\n [\n -124.175,\n 42.65\n ],\n [\n -124.175,\n 42.864762099604405\n ],\n [\n -124.57286598859824,\n 42.864762099604405\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"27","noUsgsAuthors":false,"publicationDate":"2023-08-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Yazzie, Kimberly","contributorId":328733,"corporation":false,"usgs":false,"family":"Yazzie","given":"Kimberly","email":"","affiliations":[],"preferred":false,"id":881132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Torgersen, Christian E. 0000-0001-8325-2737 ctorgersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":146935,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian","email":"ctorgersen@usgs.gov","middleInitial":"E.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":881133,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schindler, Daniel","contributorId":198878,"corporation":false,"usgs":false,"family":"Schindler","given":"Daniel","affiliations":[],"preferred":false,"id":881134,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reeves, Gordon H.","contributorId":101521,"corporation":false,"usgs":false,"family":"Reeves","given":"Gordon","email":"","middleInitial":"H.","affiliations":[{"id":527,"text":"Pacific Northwest Research Station","active":false,"usgs":true}],"preferred":false,"id":881135,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70248372,"text":"70248372 - 2023 - Viscous relaxation of Oort and Edgeworth craters on Pluto: Possible indicators of an epoch of early high heat flow","interactions":[],"lastModifiedDate":"2023-09-11T12:12:52.404898","indexId":"70248372","displayToPublicDate":"2023-08-17T07:11:01","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5718,"text":"Journal of Geophysical Research: Planets","onlineIssn":"2169-9100","active":true,"publicationSubtype":{"id":10}},"title":"Viscous relaxation of Oort and Edgeworth craters on Pluto: Possible indicators of an epoch of early high heat flow","docAbstract":"Impact craters, with their well-defined initial shapes, have proven useful as heat flow probes of a number of icy bodies, provided characteristics of viscous relaxation can be identified. For Pluto's numerous craters, such identifications are hampered/complicated by infilling and erosion by mobile volatile ices, but not in every case. Large craters offer relatively deep probes of rheological structure, and on Pluto two large old craters in a major dark (volatile-ice free) region are probably the best examples for possible viscous relaxation: Oort (115-km diameter) and Edgeworth (140-km diameter). They are similar in size, location, and apparent age (morphological preservation), but may or may not be coeval. Edgeworth is particularly shallow and its floor appears bowed up above the original ground plane, a classic hallmark of viscous relaxation in which viscosity decreases sharply with depth. Oort is less relaxed, but may be somewhat younger and less affected by an early epoch of high heat flow. Finite element calculations show that this heat flow would have to have been substantial to explain Edgeworth's upbowed floor by viscous relaxation, several times steady-state radiogenic values for present-day surface temperatures. We expect Pluto's brittle ice lithosphere to be fractured and porous, however, markedly reducing thermal conductivity and increasing temperatures at depth and relaxation for a given heat flow. We find that most relaxation occurs well within 100 Myr after impact for Edgeworth and Oort, and focus attention on a temporal (and/or regional) epoch of elevated heat flow, possibly tied to the serpentinization of Pluto's rocky core.
Excluding non-target species from invasive species control efforts can be challenging due to non-target attraction to trap structure, baits, and lures. Various methods have been used to deter non-target species from entering or disturbing traps including altered features (e.g., mesh size, trip mechanism, or entrances), staking traps, and chemical deterrents. Invasive populations of Argentine Black and White Tegu lizards (Salvator merianae) occur in several locations across Florida and Georgia, and there are ongoing trapping efforts to control them. At sites in Georgia, non-target mammals disturb most of the lizard traps (>80%), consume egg bait/lures, and thus reduce trap efficacy. In contrast, our Florida site has fewer problems with non-target mammals. Our goal was to quantify the efficacy of capsaicin-coated eggs, a known distasteful irritant to mammals, as a non-target bait deterrent in live traps set for tegus in both Georgia and Florida. We conducted feeding assays on three tegus and found that individuals readily consumed food coated in capsaicin. We then conducted a three-part, live trapping experiment to test 1) if trap disturbance by mammals habituated to eggs without capsaicin decreased when capsaicin-coated eggs were deployed in Georgia, 2) if mammals not habituated to eggs as bait (treated or untreated) disturbed live traps at the same rate as those habituated to eggs in Georgia, and 3) if tegu capture rates were different when capsaicin treated eggs were deployed in Florida. In Georgia, we found that trap disturbance by non-target mammals did not decrease when capsaicin was applied to eggs in an area previously habituated to trapping with this bait nor when applied in a novel area. In Florida, we found no significant difference in tegu captures using capsaicin-treated vs. untreated bait. Tegus were tolerant of capsaicin, but capsaicin treated eggs did not reduce non-target mammal disturbance to traps. Therefore, removal of invasive populations could be problematic if methods to reduce trap disturbance by non-targets are not identified and deployed.
Eocene transient global warming events (hyperthermals) can provide insight into a future warmer world. While much research has focused on the Paleocene–Eocene Thermal Maximum (PETM), hyperthermals of a smaller magnitude can be used to characterize climatic responses over different magnitudes of forcing. This study identifies two events, namely the Eocene Thermal Maximum 2 (ETM2 and H2), in shallow marine sediments of the Eocene-aged Salisbury Embayment of Maryland, based on magnetostratigraphy, calcareous nannofossil, and dinocyst biostratigraphy, as well as the recognition of negative stable carbon isotope excursions (CIEs) in biogenic calcite. We assess local environmental change in the Salisbury Embayment, utilizing clay mineralogy, marine palynology, δ18O of biogenic calcite, and biomarker paleothermometry (TEX86). Paleotemperature proxies show broad agreement between surface water and bottom water temperature changes. However, the timing of the warming does not correspond to the CIE of the ETM2 as expected from other records, and the highest values are observed during H2, suggesting factors in addition to pCO2 forcing have influenced temperature changes in the region. The ETM2 interval exhibits a shift in clay mineralogy from smectite-dominated facies to illite-rich facies, suggesting hydroclimatic changes but with a rather dampened weathering response relative to that of the PETM in the same region. Organic walled dinoflagellate cyst assemblages show large fluctuations throughout the studied section, none of which seem systematically related to CIE warming. These observations are contrary to the typical tight correspondence between climate change and assemblages across the PETM, regionally and globally, and ETM2 in the Arctic Ocean. The data do indicate very warm and (seasonally) stratified conditions, likely salinity-driven, across H2. The absence of evidence for strong perturbations in local hydrology and nutrient supply during ETM2 and H2, compared to the PETM, is consistent with the less extreme forcing and the warmer pre-event baseline, as well as the non-linear response in hydroclimates to greenhouse forcing.
Appalachian coal surface mines fracture geologic materials, causing release of both major ions and trace elements to water via accelerated weathering. When elevated above natural background, trace elements in streams may produce adverse effects to biota via direct exposure from water and sediment and via dietary exposure in food sources. Other studies have found elevated water concentrations of multiple trace elements in Appalachia's mining-influenced streams. Excepting Se, trace-element concentrations in abiotic and biotic media of Appalachian mining-influenced streams are less well-known. We analyzed environmental media of headwater streams receiving alkaline waters from Appalachian coal mines for eight trace elements (Al, As, Cd, Cu, Ni, Sr, V, and Zn) and assessed potential consequent ecological risks. Streamwater, particulate media (sediment, biofilm, leaf detritus) and benthic macroinvertebrates (primary consumers, secondary consumers, crayfish) were sampled from six mining-influenced and three reference streams during low-flow conditions in two seasons. Dissolved Cu, Ni, and Sr were higher in mining-influenced streams than in reference streams; whereas Ni, Sr, and Zn in fine sediments and Ni in macroinvertebrates were also elevated relative to reference-stream levels in samples from mining-influenced streams. Seasonal ratios of mining-influenced stream concentrations to maximum concentrations in reference streams also demonstrated mining-influenced increases for several elements in multiple media. In most media, concentrations of several elements including Ni were correlated positively. All water-column dissolved concentrations were below protective levels, but fine-sediment concentrations of Ni approached or exceeded threshold-effect concentrations in several streams. Further study is warranted for several elements (Cd, Ni, and Zn in biofilms, and V in macroinvertebrates), which approached or exceeded previously established dietary-risk levels.
No abstract available.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/feart.2023.1213363","usgsCitation":"Horwell, C.J., Baxter, P.J., Damby, D., Elias, T., Ilyinskaya, E., Sparks, R.S., Stewart, C., and Tomasek, I., 2023, The International Volcanic Health Hazard Network (IVHHN): Reflections on 20 years of progress: Frontiers in Earth Science, v. 11, 1213363, 6 p., https://doi.org/10.3389/feart.2023.1213363.","productDescription":"1213363, 6 p.","ipdsId":"IP-151941","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":442398,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2023.1213363","text":"Publisher Index Page"},{"id":421920,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","noUsgsAuthors":false,"publicationDate":"2023-08-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Horwell, Claire J.","contributorId":177455,"corporation":false,"usgs":false,"family":"Horwell","given":"Claire","email":"","middleInitial":"J.","affiliations":[{"id":16770,"text":"Dept. Earth Sciences, Durham University, UK","active":true,"usgs":false}],"preferred":false,"id":886191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baxter, Peter J.","contributorId":201839,"corporation":false,"usgs":false,"family":"Baxter","given":"Peter","email":"","middleInitial":"J.","affiliations":[{"id":27136,"text":"University of Cambridge","active":true,"usgs":false}],"preferred":false,"id":886192,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Damby, David 0000-0002-3238-3961","orcid":"https://orcid.org/0000-0002-3238-3961","contributorId":206614,"corporation":false,"usgs":true,"family":"Damby","given":"David","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":886193,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elias, Tamar 0000-0002-9592-4518 telias@usgs.gov","orcid":"https://orcid.org/0000-0002-9592-4518","contributorId":3916,"corporation":false,"usgs":true,"family":"Elias","given":"Tamar","email":"telias@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":886194,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ilyinskaya, Evgenia","contributorId":315384,"corporation":false,"usgs":false,"family":"Ilyinskaya","given":"Evgenia","email":"","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":886195,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sparks, R Stephen J","contributorId":330913,"corporation":false,"usgs":false,"family":"Sparks","given":"R","email":"","middleInitial":"Stephen J","affiliations":[{"id":38325,"text":"University of Bristol, UK","active":true,"usgs":false}],"preferred":false,"id":886196,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stewart, Carol","contributorId":236960,"corporation":false,"usgs":false,"family":"Stewart","given":"Carol","email":"","affiliations":[{"id":47573,"text":"Massey University, NZ","active":true,"usgs":false}],"preferred":false,"id":886197,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tomasek, Ines","contributorId":205741,"corporation":false,"usgs":false,"family":"Tomasek","given":"Ines","email":"","affiliations":[{"id":37158,"text":"Institute of Hazard, Risk & Resilience, Department of Earth Sciences, Durham University, UK","active":true,"usgs":false}],"preferred":false,"id":886198,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70256497,"text":"70256497 - 2023 - Fire characteristics and hydrologic connectivity influence short-term responses of north temperate lakes to wildfire","interactions":[],"lastModifiedDate":"2024-08-19T23:36:19.776136","indexId":"70256497","displayToPublicDate":"2023-08-16T18:26:35","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Fire characteristics and hydrologic connectivity influence short-term responses of north temperate lakes to wildfire","docAbstract":"Despite increasing wildfires, few studies have investigated seasonal water quality responses to wildfire characteristics (e.g., burn severity) across a large number of lakes. We monitored 30 total lakes (15 burned, 15 control) monthly following the Greenwood Fire in Minnesota, USA, a lake-rich region with historically prevalent wildfire. We found increases in median concentrations of total nitrogen (68%), total phosphorus (70%), dissolved organic carbon (127%), total suspended solids (71%), and reduced water clarity (48%) and pH (0.45) in burned lakes. Post-wildfire responses in drainage lakes were often persistent or cumulative throughout the open-water season, compared to isolated lakes. Total phosphorus (TP) increased linearly with watershed high-severity burns, and shoreline high-severity burns explained more variation in TP than lake morphometry and watershed variables. Post-wildfire chlorophyll-a responses were nonsignificant and inconsistent, possibly due to light limitation. Our results suggest that increasing wildfires have significant potential to affect water quality of inland lakes.
Continuous and discrete streamflow data were combined with waterborne self-potential (WaSP), surface-water temperature and surface-water conductivity surveys obtained along an approximately 43-kilometer (26.7 mile) surveyed reach of the Elm Fork Trinity River (hereinafter referred to as “Elm Fork”) upstream from Dallas, Texas, to investigate areas of gaining and losing streamflow under various streamflow and seasonal climatic conditions. Discrete streamflow measurements were made at 17 locations on October 12, 2021, and January 25, 2022, at 19 locations on May 17, 2022, and at 18 locations on August 9, 2022. WaSP data were measured from a kayak in January 2022 during a period of base flow along three individually surveyed reaches between the Lake Lewisville Dam and Frasier Dam on the Elm Fork. Together, these data indicated different parts of the Elm Fork functioned as either a gaining or losing stream depending on streamflow and seasonal climatic conditions. Overall, there were estimated net gains in streamflow during the first two discrete-measurement events of about 107 cubic feet per second (ft3/s) and 2 ft3/s in October 2021 and January 2022, respectively, and estimated net losses in streamflow in May 2022 and August 2022 of about 24 ft3/s and 18 ft3/s, respectively.
","language":"English","publisher":"Texas Water Resources Institute","doi":"10.21423/twj.v14i1.7158","usgsCitation":"Thomas, J., Ikard, S., Trader, R.K., and Rodriguez, D., 2023, Discrete streamflow measurements and waterborne self-potential logging of a 43-kilometer-long reach of the Elm Fork Trinity River upstream from Dallas, Texas: Texas Water Journal, v. 14, no. 1, p. 81-104, https://doi.org/10.21423/twj.v14i1.7158.","productDescription":"13 p.","startPage":"81","endPage":"104","numberOfPages":"13","ipdsId":"IP-147777","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":442404,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.21423/twj.v14i1.7158","text":"Publisher Index Page"},{"id":421764,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Elm Fork Trinity River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -95.89176831513726,\n 33.812193209873996\n ],\n [\n -97.94876936158748,\n 33.869691400296986\n ],\n [\n -97.95865878969555,\n 32.91189530433283\n ],\n [\n -95.92143659946109,\n 30.164609836459107\n ],\n [\n -95.00171978542303,\n 29.280023289731616\n ],\n [\n -94.41824352705486,\n 29.581484695397577\n ],\n [\n -95.89176831513726,\n 33.812193209873996\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-08-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Thomas, Jonathan V. 0000-0003-0903-9713","orcid":"https://orcid.org/0000-0003-0903-9713","contributorId":217874,"corporation":false,"usgs":true,"family":"Thomas","given":"Jonathan V.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":885557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ikard, Scott 0000-0002-8304-4935","orcid":"https://orcid.org/0000-0002-8304-4935","contributorId":201775,"corporation":false,"usgs":true,"family":"Ikard","given":"Scott","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":885558,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Trader, Roger K. 0000-0003-1108-6789","orcid":"https://orcid.org/0000-0003-1108-6789","contributorId":330664,"corporation":false,"usgs":true,"family":"Trader","given":"Roger","email":"","middleInitial":"K.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":885559,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rodriguez, David 0000-0002-1009-3402","orcid":"https://orcid.org/0000-0002-1009-3402","contributorId":330665,"corporation":false,"usgs":true,"family":"Rodriguez","given":"David","email":"","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":885560,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70254755,"text":"70254755 - 2023 - The challenges of success: Future wolf conservation and management in the United States","interactions":[],"lastModifiedDate":"2024-06-07T14:28:26.338838","indexId":"70254755","displayToPublicDate":"2023-08-16T09:21:57","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"The challenges of success: Future wolf conservation and management in the United States","docAbstract":"Gray wolf (Canis lupus) recovery and conservation has been a remarkable success over the last 30 years in the United States. Remarkable success yields remarkable challenges, however. As populations expand, wolves will colonize more human-dominated landscapes and face numerous challenges, such as fragmented habitats, barriers to dispersal, and increased encounters with humans, pets, and livestock. In such areas, conflicts between humans and wolves will increase. We summarize several major scientific and social challenges that wolf conservation, recovery, and management will face in the coming years. In addition, we suggest actions to help address each challenge. Future wolf conservation in the United States will be affected by the ability of managers to predict colonization and dispersal dynamics, to reduce hybridization and disease transmission, to mitigate and deter wolf–livestock conflicts, to harvest wolves sustainably while satisfying diverse stakeholders, to avert a reduction in tolerance for wolves due to a disinterest in nature, and to engage diverse stakeholders in wolf conservation to avoid management by ballot initiative or legislative and judicial decrees.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/biosci/biad053","usgsCitation":"Ausband, D.E., and Mech, L.D., 2023, The challenges of success: Future wolf conservation and management in the United States: BioScience, v. 73, no. 8, p. 587-591, https://doi.org/10.1093/biosci/biad053.","productDescription":"5 p.","startPage":"587","endPage":"591","ipdsId":"IP-152280","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":442407,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/biosci/biad053","text":"Publisher Index Page"},{"id":429645,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"contiguous United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": 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Seattle","active":true,"usgs":true}],"preferred":true,"id":902423,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mech, L. David 0000-0003-3944-7769 david_mech@usgs.gov","orcid":"https://orcid.org/0000-0003-3944-7769","contributorId":2518,"corporation":false,"usgs":true,"family":"Mech","given":"L.","email":"david_mech@usgs.gov","middleInitial":"David","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":902424,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70219052,"text":"70219052 - 2023 - Mapping planetary bodies","interactions":[],"lastModifiedDate":"2023-08-24T15:41:04.706562","indexId":"70219052","displayToPublicDate":"2023-08-16T08:44:39","publicationYear":"2023","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Mapping planetary bodies","docAbstract":"As the United States and its space agency, the National Aeronautics and Space Administration (NASA), looks to send humans back to the Moon, many other countries and their space agencies are also sending orbiters, rovers, and sample return missions across the Solar System. We are living in an extraordinary age of planetary exploration, where every mission builds on the decades of advancements in satellite design and onboard instrumentation. Once we acknowledge this, we can turn to understanding and analyzing the wealth of collected data. Fortunately, the principles and methods used for terrestrial mapping can also be used for extraterrestrial bodies. Herein, we introduce the concepts and some challenges to mapping planetary bodies like the Moon, Mercury, Mars, and the numerous moons we have visited in our outer Solar System. These spacecrafts including orbiter and fly-by missions are often loaded with novel instrument types from intricate pushbroom cameras and multi- and hyper-spectral cameras to radar and laser altimeter instruments.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The Routledge Handbook of Geospatial Technologies and Society","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Taylor & Francis","doi":"10.4324/9780367855765","usgsCitation":"Hare, T.M., 2023, Mapping planetary bodies, chap. of The Routledge Handbook of Geospatial Technologies and Society, p. 562-576, https://doi.org/10.4324/9780367855765.","productDescription":"15 p.","startPage":"562","endPage":"576","ipdsId":"IP-126896","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":420122,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2023-06-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Hare, Trent M. 0000-0001-8842-389X thare@usgs.gov","orcid":"https://orcid.org/0000-0001-8842-389X","contributorId":3188,"corporation":false,"usgs":true,"family":"Hare","given":"Trent","email":"thare@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":812601,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70249515,"text":"70249515 - 2023 - Global methane emissions from rivers and streams","interactions":[],"lastModifiedDate":"2023-10-12T13:45:11.839911","indexId":"70249515","displayToPublicDate":"2023-08-16T08:43:02","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"Global methane emissions from rivers and streams","docAbstract":"Methane (CH4) is a potent greenhouse gas and its concentrations have tripled in the atmosphere since the industrial revolution. There is evidence that global warming has increased CH4 emissions from freshwater ecosystems1,2, providing positive feedback to the global climate. Yet for rivers and streams, the controls and the magnitude of CH4 emissions remain highly uncertain3,4. Here we report a spatially explicit global estimate of CH4 emissions from running waters, accounting for 27.9 (16.7–39.7) Tg CH4 per year and roughly equal in magnitude to those of other freshwater systems5,6. Riverine CH4 emissions are not strongly temperature dependent, with low average activation energy (EM = 0.14 eV) compared with that of lakes and wetlands (EM = 0.96 eV)1. By contrast, global patterns of emissions are characterized by large fluxes in high- and low-latitude settings as well as in human-dominated environments. These patterns are explained by edaphic and climate features that are linked to anoxia in and near fluvial habitats, including a high supply of organic matter and water saturation in hydrologically connected soils. Our results highlight the importance of land–water connections in regulating CH4 supply to running waters, which is vulnerable not only to direct human modifications but also to several climate change responses on land.
","language":"English","publisher":"Nature Publications","doi":"10.1038/s41586-023-06344-6","usgsCitation":"Rocher-Ros, G., Stanley, E.H., Loken, L.C., Casson, N.J., Raymond, P.A., Liu, S., Amatulli, G., and Sponseller, R.A., 2023, Global methane emissions from rivers and streams: Nature, v. 621, p. 530-535, https://doi.org/10.1038/s41586-023-06344-6.","productDescription":"6 p.","startPage":"530","endPage":"535","ipdsId":"IP-146294","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":442410,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41586-023-06344-6","text":"Publisher Index Page"},{"id":421888,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"621","noUsgsAuthors":false,"publicationDate":"2023-08-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Rocher-Ros, Gerard","contributorId":329670,"corporation":false,"usgs":false,"family":"Rocher-Ros","given":"Gerard","email":"","affiliations":[{"id":12666,"text":"Swedish University of Agricultural Sciences","active":true,"usgs":false}],"preferred":false,"id":886050,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stanley, Emily H.","contributorId":55725,"corporation":false,"usgs":false,"family":"Stanley","given":"Emily","email":"","middleInitial":"H.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":886051,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loken, Luke C. 0000-0003-3194-1498 lloken@usgs.gov","orcid":"https://orcid.org/0000-0003-3194-1498","contributorId":195600,"corporation":false,"usgs":true,"family":"Loken","given":"Luke","email":"lloken@usgs.gov","middleInitial":"C.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":886052,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Casson, Nora J.","contributorId":169271,"corporation":false,"usgs":false,"family":"Casson","given":"Nora","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":886053,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Raymond, Peter A.","contributorId":172876,"corporation":false,"usgs":false,"family":"Raymond","given":"Peter","email":"","middleInitial":"A.","affiliations":[{"id":17883,"text":"Yale School of Forestry and Environmental Studies, New Haven, CT","active":true,"usgs":false}],"preferred":false,"id":886054,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Liu, Shaoda","contributorId":257246,"corporation":false,"usgs":false,"family":"Liu","given":"Shaoda","email":"","affiliations":[{"id":51989,"text":"Yale School of Forestry and Environmental Studies, 195 Prospect Street, New Haven, CT, USA","active":true,"usgs":false}],"preferred":false,"id":886055,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Amatulli, Giuseppe","contributorId":330856,"corporation":false,"usgs":false,"family":"Amatulli","given":"Giuseppe","email":"","affiliations":[{"id":37550,"text":"Yale University","active":true,"usgs":false}],"preferred":false,"id":886056,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sponseller, Ryan A.","contributorId":329667,"corporation":false,"usgs":false,"family":"Sponseller","given":"Ryan","email":"","middleInitial":"A.","affiliations":[{"id":24847,"text":"Umea University","active":true,"usgs":false}],"preferred":false,"id":886057,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70248284,"text":"70248284 - 2023 - Functional traits explain waterbirds’ host status, subtype richness, and community-level infection risk for avian influenza","interactions":[],"lastModifiedDate":"2023-10-23T16:07:18.978878","indexId":"70248284","displayToPublicDate":"2023-08-16T08:33:49","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Functional traits explain waterbirds’ host status, subtype richness, and community-level infection risk for avian influenza","docAbstract":"Species functional traits can influence pathogen transmission processes, and consequently affect species' host status, pathogen diversity, and community-level infection risk. We here investigated, for 143 European waterbird species, effects of functional traits on host status and pathogen diversity (subtype richness) for avian influenza virus at species level. We then explored the association between functional diversity and HPAI H5Nx occurrence at the community level for 2016/17 and 2021/22 epidemics in Europe. We found that both host status and subtype richness were shaped by several traits, such as diet guild and dispersal ability, and that the community-weighted means of these traits were also correlated with community-level risk of H5Nx occurrence. Moreover, functional divergence was negatively associated with H5Nx occurrence, indicating that functional diversity can reduce infection risk. Our findings highlight the value of integrating trait-based ecology into the framework of diversity–disease relationship, and provide new insights for HPAI prediction and prevention.
","language":"English","publisher":"Wiley","doi":"10.1111/ele.14294","usgsCitation":"Yin, S., Li, N., Xu, W., Becker, D., de Boer, W.F., Xu, C., Mundkur, T., Fountain-Jones, N.M., Li, C., Han, G., Wu, Q., Prosser, D., Cui, L., and Huang, Z., 2023, Functional traits explain waterbirds’ host status, subtype richness, and community-level infection risk for avian influenza: Ecology Letters, v. 26, no. 10, p. 1780-1791, https://doi.org/10.1111/ele.14294.","productDescription":"12 p.","startPage":"1780","endPage":"1791","ipdsId":"IP-150802","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":442413,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ele.14294","text":"Publisher Index 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