This study investigates the effects of post-wildfire sediment runoff on giant kelp (Macrocystis pyrifera) populations in Malibu, California, following the 2018 Woolsey Fire. The research utilizes satellite data and the Soil and Water Assessment Tool (SWAT) to assess changes in sediment delivery and its correlation with reduced kelp abundance. Findings indicate a significant decrease in kelp canopy recovery, post-fire, with ongoing limited regrowth up to 2023. This study underscores the critical impacts of wildfire-induced sediment runoff on marine ecosystems and emphasizes the need for tailored coastal management and restoration strategies to mitigate these effects and support the resilience of kelp forests, which are vital for biodiversity and coastal ecosystem services.
","conferenceTitle":"2024 IEEE International Geoscience and Remote Sensing Symposium","conferenceDate":"July 7-12, 2024","conferenceLocation":"Athens, Greece","language":"English","publisher":"IEEE","doi":"10.1109/IGARSS53475.2024.10642264","usgsCitation":"Berberian, L., Lee, C.M., Hestir, E., Cavanaugh, K.C., Lopez, A., Blackwood, C., and Avouris, D., 2024, Impacts of wildfire runoff on giant kelp in Malibu, California, 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, July 7-12, 2024, p. 5935-5939, https://doi.org/10.1109/IGARSS53475.2024.10642264.","productDescription":"5 p.","startPage":"5935","endPage":"5939","ipdsId":"IP-161417","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":501743,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Malibu","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.7296169597984,\n 34.060284928613825\n ],\n [\n -118.7296169597984,\n 33.992003205965474\n ],\n [\n -118.64014581277758,\n 33.992003205965474\n ],\n [\n -118.64014581277758,\n 34.060284928613825\n ],\n [\n -118.7296169597984,\n 34.060284928613825\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Berberian, Lori A","contributorId":340445,"corporation":false,"usgs":false,"family":"Berberian","given":"Lori A","affiliations":[{"id":33607,"text":"University of California Los Angeles","active":true,"usgs":false}],"preferred":false,"id":907159,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Christine M.","contributorId":302546,"corporation":false,"usgs":false,"family":"Lee","given":"Christine","email":"","middleInitial":"M.","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":907160,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hestir, Erin L. 0000-0002-4673-5745","orcid":"https://orcid.org/0000-0002-4673-5745","contributorId":302706,"corporation":false,"usgs":false,"family":"Hestir","given":"Erin L.","affiliations":[{"id":16805,"text":"University of California, Merced","active":true,"usgs":false}],"preferred":false,"id":907161,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cavanaugh, Kyle C.","contributorId":149015,"corporation":false,"usgs":false,"family":"Cavanaugh","given":"Kyle","email":"","middleInitial":"C.","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":907162,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lopez, Amanda M","contributorId":340448,"corporation":false,"usgs":false,"family":"Lopez","given":"Amanda M","affiliations":[{"id":27923,"text":"NASA JPL","active":true,"usgs":false}],"preferred":false,"id":907163,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blackwood, Carmen","contributorId":340450,"corporation":false,"usgs":false,"family":"Blackwood","given":"Carmen","affiliations":[{"id":27923,"text":"NASA JPL","active":true,"usgs":false}],"preferred":false,"id":907164,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Avouris, Dulcinea Marie 0000-0001-5797-3960","orcid":"https://orcid.org/0000-0001-5797-3960","contributorId":335170,"corporation":false,"usgs":true,"family":"Avouris","given":"Dulcinea Marie","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":907165,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70256082,"text":"70256082 - 2024 - Science target prioritization framework for remote sensing","interactions":[],"lastModifiedDate":"2026-03-27T18:42:29.813683","indexId":"70256082","displayToPublicDate":"2024-09-05T13:37:35","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Science target prioritization framework for remote sensing","docAbstract":"Behind the scenes of a remote sensing mission there are complex decision making and planning operations. Streamlining these operations, with a quantitative scientific value framework, aids efficient and optimized science data collection. While there have been previous efforts to quantify the science value for specific science scenarios, our work aims to develop a general framework which can be applied across different scenarios. We describe a pipeline of processes which combines model forecast and observation data, in computational forms, as dictated by the mission objectives set forth by subject matter experts. The framework is described with use cases involving the monitoring of nitrogen dioxide (NO2) concentrations over the Gulf of Mexico and methane concentrations over interior Alaska.
","conferenceTitle":"2024 IEEE International Geoscience and Remote Sensing Symposium","conferenceDate":"July 7-12, 2024","conferenceLocation":"Athens, Greece","language":"English","publisher":"IEEE","doi":"10.1109/IGARSS53475.2024.10642436","usgsCitation":"Ravindra, V., Caldwell, D., Chandarana Saephan, M., Duncan, B., Strode, S., Swartz, W., Manies, K.L., Frank, J., Levinson, R., and Turkov, E., 2024, Science target prioritization framework for remote sensing, 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, July 7-12, 2024, p. 689-693, https://doi.org/10.1109/IGARSS53475.2024.10642436.","productDescription":"5 p.","startPage":"689","endPage":"693","ipdsId":"IP-166703","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":501742,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ravindra, Vinay","contributorId":340220,"corporation":false,"usgs":false,"family":"Ravindra","given":"Vinay","affiliations":[{"id":24796,"text":"NASA Ames Research Center","active":true,"usgs":false}],"preferred":false,"id":906631,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell, Douglas","contributorId":340222,"corporation":false,"usgs":false,"family":"Caldwell","given":"Douglas","affiliations":[{"id":24796,"text":"NASA Ames Research Center","active":true,"usgs":false}],"preferred":false,"id":906632,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chandarana Saephan, Meghan","contributorId":340224,"corporation":false,"usgs":false,"family":"Chandarana Saephan","given":"Meghan","affiliations":[{"id":24796,"text":"NASA Ames Research Center","active":true,"usgs":false}],"preferred":false,"id":906633,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duncan, Bryan","contributorId":340226,"corporation":false,"usgs":false,"family":"Duncan","given":"Bryan","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":906634,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Strode, Sarah A.","contributorId":151018,"corporation":false,"usgs":false,"family":"Strode","given":"Sarah A.","affiliations":[{"id":17844,"text":"University of Washington, Seattle, Washington, USA","active":true,"usgs":false}],"preferred":false,"id":906635,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Swartz, William","contributorId":340228,"corporation":false,"usgs":false,"family":"Swartz","given":"William","affiliations":[{"id":81510,"text":"John Hopkins University Applied Physics Laboratory","active":true,"usgs":false}],"preferred":false,"id":906636,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Manies, Kristen L. 0000-0003-4941-9657 kmanies@usgs.gov","orcid":"https://orcid.org/0000-0003-4941-9657","contributorId":2136,"corporation":false,"usgs":true,"family":"Manies","given":"Kristen","email":"kmanies@usgs.gov","middleInitial":"L.","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}],"preferred":true,"id":906637,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Frank, Jeremy","contributorId":340229,"corporation":false,"usgs":false,"family":"Frank","given":"Jeremy","affiliations":[{"id":24796,"text":"NASA Ames Research Center","active":true,"usgs":false}],"preferred":false,"id":906638,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Levinson, Richard","contributorId":340230,"corporation":false,"usgs":false,"family":"Levinson","given":"Richard","affiliations":[{"id":24796,"text":"NASA Ames Research Center","active":true,"usgs":false}],"preferred":false,"id":906639,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Turkov, Eugene","contributorId":340231,"corporation":false,"usgs":false,"family":"Turkov","given":"Eugene","affiliations":[{"id":24796,"text":"NASA Ames Research Center","active":true,"usgs":false}],"preferred":false,"id":906640,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70257164,"text":"sir20245057 - 2024 - Chloride concentrations in groundwater from the western part of the Southern Hills regional aquifer system, Louisiana, 2021–22","interactions":[],"lastModifiedDate":"2026-02-03T19:45:44.629229","indexId":"sir20245057","displayToPublicDate":"2024-09-05T11:54:10","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5057","displayTitle":"Chloride Concentrations in Groundwater From the Western Part of the Southern Hills Regional Aquifer System, Louisiana, 2021–22","title":"Chloride concentrations in groundwater from the western part of the Southern Hills regional aquifer system, Louisiana, 2021–22","docAbstract":"Groundwater is heavily used for public supply and industrial uses in the Baton Rouge, Louisiana, area. Lowered water levels resulting from groundwater withdrawals have induced the movement of saltwater towards wells in East Baton Rouge and West Baton Rouge Parishes. Saltwater intrusion has the potential to affect water supply infrastructure, reduce water availability for some uses, and increase treatment costs. To document current conditions, samples were collected from 161 wells screened in 10 aquifers of the Southern Hills regional aquifer system during November 2021 through February 2022. The results were compared with historical data to identify where chloride concentrations are increasing, which could indicate that saltwater intrusion is occurring. Saltwater intrusion, to varying degrees and areal extents, was observed in most of the 10 aquifers. The limited availability of monitoring wells near or within some of the known saltwater plume areas restricts tracking of the movement or delineation of the plumes’ current extents.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245057","issn":"2328-0328","collaboration":"Prepared in cooperation with the Capital Area Groundwater Conservation Commission","usgsCitation":"Lindaman, M.A., 2024, Chloride concentrations in groundwater from the western part of the Southern Hills regional aquifer system, Louisiana, 2021–22: U.S. Geological Survey Scientific Investigations Report 2024–5057, 33 p., https://doi.org/10.3133/sir20245057.","productDescription":"Report: viii, 33 p.; 2 Data Releases","numberOfPages":"46","onlineOnly":"Y","ipdsId":"IP-144771","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":499479,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117310.htm","linkFileType":{"id":5,"text":"html"}},{"id":432497,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS NWIS database","linkHelpText":"USGS water data for the Nation"},{"id":432496,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9A9OBT6","text":"USGS Data Release","linkHelpText":"Chloride concentration data for the western part of the Southern Hills regional aquifer system, Louisiana, 2021–22, and selected historical data"},{"id":432495,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5057/images"},{"id":432494,"rank":4,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245057/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5057 HTML"},{"id":432493,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5057/sir20245057.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2024-5057 XML"},{"id":432492,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5057/sir20245057.pdf","size":"3.29 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5057"},{"id":432491,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5057/coverthb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.79916041640998,\n 31.001662882587297\n ],\n [\n -91.79916041640998,\n 29.990391322259512\n ],\n [\n -90.56239851210685,\n 29.990391322259512\n ],\n [\n -90.56239851210685,\n 31.001662882587297\n ],\n [\n -91.79916041640998,\n 31.001662882587297\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park, Suite 100
Nashville, TN 37211
Contact Us- USGS Publications Warehouse
","tableOfContents":"Terrestrial ecosystems, such as forests, and the inland waters within them, such as bogs, floodplains, lakes, rivers, springs, and wetlands, are foundational for life on earth. They provide critical ecosystem services such as carbon storage and sequestration, clean water, primary production, pollination, soil fertility, and erosion control. The human footprint on terrestrial and freshwater ecosystems continues to expand, imposing pressures from deforestation, invasive species, climate change, overexploitation of species, and land conversion for agricultural production. The United Nations’ Sustainable Development Goal (SDG) 15 (Life on Land) aims to address these changes by promoting the protection, restoration, and sustainable use of terrestrial ecosystems globally. Freshwater ecosystem services and freshwater biological diversity are inherently part of, and critical to, achieving SDG 15; yet they remain absent from the goal and largely hidden within the targets and indicators. Here, we aim to highlight the role and importance of freshwater ecosystems in achieving SDG 15. We identify the six major themes of SDG 15 in which freshwater ecosystems have a preeminent role: (1) increasing protected areas, (2) sustainably managing forests, (3) reducing land degradation, (4) protecting threatened and trafficked species, (5) reducing invasive species, and (6) mobilizing resources. For each theme, we detail (a) freshwater connections to the topic, (b) key opportunities in addressing freshwater components, and (c) a relevant case study highlighting cobenefits for terrestrial ecosystems from actions targeting freshwater ecosystems. We conclude with opportunities for integrative terrestrial–aquatic monitoring, management, and policy actions. Ultimately, achieving the targets of SDG 15 requires recognition of terrestrial–aquatic interdependencies and prioritization of freshwater ecosystems and biodiversity.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Water matters: Achieving the sustainable development goals","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-443-15537-6.00024-0","usgsCitation":"Stokes, G.L., Lynch, A.J., Smidt, S.J., Steel, E.A., Dowd, S., Britton, R., Bai, X., Cerquera, T.B., Guerrero, G., Cheramy, J., Koning, A., Maghsood, F.F., Piccillo, A.M., and Schuppie, G., 2024, Life on land needs fresh water (SDG 15), chap. 24 of Water matters: Achieving the sustainable development goals, p. 295-309, https://doi.org/10.1016/B978-0-443-15537-6.00024-0.","productDescription":"15 p.","startPage":"295","endPage":"309","ipdsId":"IP-151102","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":465196,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stokes, Gretchen L. 0000-0003-4202-6527","orcid":"https://orcid.org/0000-0003-4202-6527","contributorId":245640,"corporation":false,"usgs":false,"family":"Stokes","given":"Gretchen","email":"","middleInitial":"L.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":912464,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lynch, Abigail J. 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":204271,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","middleInitial":"J.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":912465,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smidt, Samuel J. 0000-0001-7728-2083","orcid":"https://orcid.org/0000-0001-7728-2083","contributorId":192816,"corporation":false,"usgs":false,"family":"Smidt","given":"Samuel","email":"","middleInitial":"J.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":912476,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Steel, E. Ashley","contributorId":7589,"corporation":false,"usgs":false,"family":"Steel","given":"E.","email":"","middleInitial":"Ashley","affiliations":[],"preferred":false,"id":921332,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dowd, Scott","contributorId":216208,"corporation":false,"usgs":false,"family":"Dowd","given":"Scott","email":"","affiliations":[{"id":37373,"text":"New England Aquarium","active":true,"usgs":false}],"preferred":false,"id":912470,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Britton, Robert","contributorId":343955,"corporation":false,"usgs":false,"family":"Britton","given":"Robert","email":"","affiliations":[{"id":82263,"text":"Bournmouth University","active":true,"usgs":false}],"preferred":false,"id":912467,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bai, Xue","contributorId":343953,"corporation":false,"usgs":false,"family":"Bai","given":"Xue","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":912466,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cerquera, Trista Brophy","contributorId":343958,"corporation":false,"usgs":false,"family":"Cerquera","given":"Trista","email":"","middleInitial":"Brophy","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":912469,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Guerrero, Genaro","contributorId":347314,"corporation":false,"usgs":false,"family":"Guerrero","given":"Genaro","email":"","affiliations":[],"preferred":false,"id":921333,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cheramy, Jeantel","contributorId":343956,"corporation":false,"usgs":false,"family":"Cheramy","given":"Jeantel","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":912468,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Koning, Aaron A.","contributorId":250657,"corporation":false,"usgs":false,"family":"Koning","given":"Aaron A.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":912472,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Maghsood, Fatemeh F.","contributorId":343960,"corporation":false,"usgs":false,"family":"Maghsood","given":"Fatemeh","email":"","middleInitial":"F.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":912473,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Piccillo, Ashley M.","contributorId":343961,"corporation":false,"usgs":false,"family":"Piccillo","given":"Ashley","email":"","middleInitial":"M.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":912474,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Schuppie, Grace","contributorId":343962,"corporation":false,"usgs":false,"family":"Schuppie","given":"Grace","email":"","affiliations":[{"id":82266,"text":"Santa Fe College","active":true,"usgs":false}],"preferred":false,"id":912475,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70258077,"text":"cir1518 - 2024 - The U.S. Geological Survey Volcano Science Center’s response plan for significant volcanic events","interactions":[],"lastModifiedDate":"2024-09-16T19:03:23.959006","indexId":"cir1518","displayToPublicDate":"2024-09-05T09:39:04","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1518","displayTitle":"The U.S. Geological Survey Volcano Science Center's Response Plan for Significant Volcanic Events","title":"The U.S. Geological Survey Volcano Science Center’s response plan for significant volcanic events","docAbstract":"This publication describes the U.S. Geological Survey Volcano Science Center (VSC) Response Plan for Significant Volcanic Events (hereinafter referred to as “the plan”) that has been developed for U.S volcano observatories over the past several years in consultation with the lead scientist, or Scientist-in-Charge (SIC), of each of the five U.S. Geological Survey (USGS) volcano observatories. The goal of the plan is to define a standardized management system that ensures the VSC can achieve the following during a volcanic crisis:
The plan addresses situations in which the scale of a response at least temporarily eclipses the response capabilities of a single observatory. The plan features two integrated response structures for managing and carrying out operations within the VSC during a crisis: the Observatory Volcanic Event Response Team (OVERT) and the Center Volcanic Event Response Team (CVERT). The design of these structures reflects lessons learned from past volcanic responses and is influenced by the Incident Command System used by the U.S. Federal Government for managing emergency responses. The plan clarifies expectations regarding the flow of information during a response, summarizes required tasks of the responding observatory and VSC to ensure a successful response, defines response-team roles and responsibilities, and describes the internal communication practices critical for an effective and coordinated response.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1518","usgsCitation":"Moran, S.C., Neal, C.A., and Murray, T.L., 2024, The U.S. Geological Survey Volcano Science Center’s Response Plan for Significant Volcanic Events: U.S. Geological Survey Circular 1518, 65 p., https://doi.org/10.3133/cir1518.","productDescription":"v, 65 p.","numberOfPages":"65","onlineOnly":"N","ipdsId":"IP-143031","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":433419,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1518/circ1518.pdf","text":"Report","size":"13 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":433418,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1518/covrthb.jpg"}],"country":"Commonwealth of the Northern Mariana Islands, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -147.11713420288632,\n 61.002142023255914\n ],\n [\n -149.98540899170055,\n 63.04244518393395\n ],\n [\n -155.50779067376675,\n 61.49623318483353\n ],\n [\n -163.75816043675115,\n 56.14684556104572\n ],\n [\n -181.00143715585634,\n 52.48269604532007\n ],\n [\n -179.43766066935802,\n 49.56517123226905\n ],\n [\n -161.45364658708968,\n 53.202707628643395\n ],\n [\n -150.28015443637352,\n 56.59536969182122\n ],\n [\n -147.11713420288632,\n 61.002142023255914\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.04098501277775,\n 18.310791613598795\n ],\n [\n -154.27974725488383,\n 19.999127121481195\n ],\n [\n -156.13858195798778,\n 21.6642146784459\n ],\n [\n -160.5190347101758,\n 22.913848569868435\n ],\n [\n -160.89532419064514,\n 21.555359696802086\n ],\n [\n -155.04098501277775,\n 18.310791613598795\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.13805709963371,\n 32.80221941212619\n ],\n [\n -114.68347246965284,\n 32.75317958295028\n ],\n [\n -109.91889194502293,\n 31.908789770860224\n ],\n [\n -103.41968841512762,\n 32.15190215555489\n ],\n [\n -104.81753636115526,\n 44.92966193095208\n ],\n [\n -110.83268320595475,\n 45.05113861610195\n ],\n [\n -112.79654476340819,\n 44.84983806584674\n ],\n [\n -116.08121402894493,\n 49.009671497489734\n ],\n [\n -123.2819295472598,\n 48.98733781992226\n ],\n [\n -122.97762463880268,\n 48.07800384577902\n ],\n [\n -124.77196722296571,\n 48.35892442461622\n ],\n [\n -124.02527687101941,\n 46.40252508317741\n ],\n [\n -124.43207521869675,\n 42.518614030953046\n ],\n [\n -123.96606882815117,\n 40.245733159142105\n ],\n [\n -121.02446730458165,\n 35.789849150485125\n ],\n [\n -120.3490991587176,\n 34.53564829828612\n ],\n [\n -117.13805709963371,\n 32.80221941212619\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 145.87594127125067,\n 15.351997445662661\n ],\n [\n 145.47515460820574,\n 15.351997445662661\n ],\n [\n 145.47515460820574,\n 14.851891090064058\n ],\n [\n 145.87594127125067,\n 14.851891090064058\n ],\n [\n 145.87594127125067,\n 15.351997445662661\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Volcano Science Center
Cascades Volcano Observatory
U.S. Geological Survey
1300 SE Cardinal Court
Vancouver, WA, 98683
We studied Actinemys pallida (Southwestern Pond Turtle) in Amargosa Creek, near Palmdale, CA, from 1997 to 2023. The population in the upper creek was the focus of a mark–recapture study from 1997 to 2003 during monitoring required by a road-construction project. An estimated 193 (95% CI = 142–256) turtles were present in 1997 or recruited to the upper creek population between 1997 and 2003. Total abundance and recruitment declined after 2001, coincident with the onset of a multi-decadal megadrought. Turtles in upper Amargosa Creek are presumed to be extirpated because the creek dried up in the ensuing years. As part of a separate research project, we resurveyed the lower creek at Piute Ponds on Edwards Air Force Base from 2019 to 2023. As of 2023, there was a remnant breeding population of at least 22 turtles there. We did not find any marked turtles from the upper creek in the ponds. Only 2 populations of Southwestern Pond Turtles are known to survive in the Mojave Desert, one at Piute Ponds and another in the Mojave River.
","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/045.031.s1229","usgsCitation":"Muth, D., Lovich, J.E., Macip-Rios, R., Gomez, D., Cummings, K.L., Puffer, M.R., and Yackulic, C., 2024, Aspects of the demography of a relict population of southwestern pond turtles (Actinemys pallida) in a West Mojave Desert stream in California: Northeastern Naturalist, v. 31, no. SP12, p. E109-E130, https://doi.org/10.1656/045.031.s1229.","productDescription":"20 p.","startPage":"E109","endPage":"E130","ipdsId":"IP-158455","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":433661,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Amargosa Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.33969433634499,\n 35.103621539168216\n ],\n [\n -118.33969433634499,\n 34.574420667035355\n ],\n [\n -117.34490082118631,\n 34.574420667035355\n ],\n [\n -117.34490082118631,\n 35.103621539168216\n ],\n [\n -118.33969433634499,\n 35.103621539168216\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"31","issue":"SP12","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Muth, David","contributorId":216980,"corporation":false,"usgs":false,"family":"Muth","given":"David","email":"","affiliations":[],"preferred":false,"id":912812,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":912813,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Macip-Rios, Rodrigo","contributorId":341960,"corporation":false,"usgs":false,"family":"Macip-Rios","given":"Rodrigo","email":"","affiliations":[],"preferred":false,"id":912814,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gomez, Doug","contributorId":258814,"corporation":false,"usgs":false,"family":"Gomez","given":"Doug","email":"","affiliations":[{"id":52302,"text":"Center for Environmental Management of Military Lands, Colorado State University, Fort Collins, CO 80523–1490","active":true,"usgs":false}],"preferred":false,"id":912815,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cummings, Kristy L. 0000-0002-8316-5059","orcid":"https://orcid.org/0000-0002-8316-5059","contributorId":202061,"corporation":false,"usgs":true,"family":"Cummings","given":"Kristy","email":"","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":912816,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Puffer, Michele R. 0000-0003-4957-0963","orcid":"https://orcid.org/0000-0003-4957-0963","contributorId":225575,"corporation":false,"usgs":true,"family":"Puffer","given":"Michele","email":"","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":912817,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":912818,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70258162,"text":"70258162 - 2024 - Testing food web theory in a large lake: The role of body size in habitat coupling in Lake Michigan","interactions":[],"lastModifiedDate":"2025-02-07T16:23:20.757867","indexId":"70258162","displayToPublicDate":"2024-09-05T09:18:44","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Testing food web theory in a large lake: The role of body size in habitat coupling in Lake Michigan","docAbstract":"The landscape theory of food web architecture (LTFWA) describes relationships among body size, trophic position, mobility, and energy channels that serve to couple heterogenous habitats, which in turn promotes long-term system stability. However, empirical tests of the LTFWA are rare and support differs among terrestrial, freshwater, and marine systems. Further, it is unclear whether the theory applies in highly altered ecosystems dominated by introduced species such as the Laurentian Great Lakes. Here, we provide an empirical test of the LTFWA by relating body size, trophic position, and the coupling of different energy channels using stable isotope data from species throughout the Lake Michigan food web. We found that body size was positively related to trophic position, but for a given trophic position, organisms predominately supported by pelagic energy had smaller body sizes than organisms predominately supported by nearshore benthic energy. We also found a hump-shaped trophic relationship in the food web where there is a gradual increase in the coupling of pelagic and nearshore energy channels with larger body sizes as well as higher trophic positions. This highlights the important role of body size and connectivity among habitats in structuring food webs. However, important deviations from expectations are suggestive of how species introductions and other anthropogenic impacts can affect food web structure in large lakes. First, native top predators appear to be flexible couplers that may provide food web resilience, whereas introduced top predators may confer less stability when they specialize on a single energy pathway. Second, some smaller bodied prey fish and invertebrates, in addition to mobile predators, coupled energy from pelagic and nearshore energy channels, which suggests that some prey species may also be important integrators of energy pathways in the system. We conclude that patterns predicted by the LTFWA are present in the face of species introductions and other anthropogenic stressors to a degree, but time-series evaluations are needed to fully understand the mechanisms that promote stability.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.4413","usgsCitation":"Maitland, B.M., Bootsma, H.A., Bronte, C.R., Bunnell, D., Feiner, Z.S., Fenske, K., Fetzer, W., Foley, C., Gerig, B., Happell, A., Hook, T.O., Keppeler, F.W., Kornis, M., Lepak, R., McNaught, A., Roth, B., Turschak, B., Hoffman, J.C., and Jensen, O.P., 2024, Testing food web theory in a large lake: The role of body size in habitat coupling in Lake Michigan: Ecology, v. 105, e4413, 18 p., https://doi.org/10.1002/ecy.4413.","productDescription":"e4413, 18 p.","ipdsId":"IP-158860","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":433548,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":439174,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.4413","text":"Publisher Index Page"}],"country":"United 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the U.S. Geological Survey’s (USGS) 3D Elevation Program (3DEP) is to facilitate the acquisition of nationwide lidar data. Although data meet USGS lidar specifications, some point cloud tiles include noisy and incorrectly classified points. The enhanced accuracy of classified point clouds can improve support for many downstream applications such as hydrologic analysis, urban planning, and forest management. Despite noisy and incorrectly classified points, the current 3DEP classification specifications result in data that can be useful for Digital Terrain Model (DTM) extraction; however, the quality of the classification application can be improved to match state-of-the-art capabilities. Deep Learning (DL)-based approaches have been developed with outstanding performance for point cloud classification. This study will utilize the proven DL technologies to prepare for developing a user-friendly open-source toolkit that would automate classification to refine and enrich the results of existing and future 3DEP data.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of 2024 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2024 IEEE International Geoscience and Remote Sensing Symposium","conferenceDate":"July 7-12, 2024","conferenceLocation":"Athens, Greece","language":"English","publisher":"The Institute of Electrical and Electronics Engineers (IEEE)","doi":"10.1109/IGARSS53475.2024.10641055","usgsCitation":"Liu, J., Qin, R., and Song, S., 2024, Automated deep learning-based point cloud classification on USGS 3DEP lidar data using transformer, in Proceedings of 2024 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Athens, Greece, July 7-12, 2024, p. 8518-8521, https://doi.org/10.1109/IGARSS53475.2024.10641055.","productDescription":"4 p.","startPage":"8518","endPage":"8521","ipdsId":"IP-159942","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":439175,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://2024julyesipmeeting.sched.com/","text":"External Repository"},{"id":434765,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Liu, Jung-Kuan 0000-0001-8461-8200","orcid":"https://orcid.org/0000-0001-8461-8200","contributorId":333940,"corporation":false,"usgs":true,"family":"Liu","given":"Jung-Kuan","email":"","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":913062,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qin, Rongjun","contributorId":333939,"corporation":false,"usgs":false,"family":"Qin","given":"Rongjun","email":"","affiliations":[{"id":18155,"text":"The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":913063,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Song, Shuang","contributorId":344174,"corporation":false,"usgs":false,"family":"Song","given":"Shuang","email":"","affiliations":[{"id":18155,"text":"The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":913064,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70263802,"text":"70263802 - 2024 - Updated distribution for two freshwater mussel species of conservation concern in Oklahoma","interactions":[],"lastModifiedDate":"2025-02-25T15:57:35.040172","indexId":"70263802","displayToPublicDate":"2024-09-05T08:50:42","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Updated distribution for two freshwater mussel species of conservation concern in Oklahoma","docAbstract":"Qualitative and quantitative sampling efforts in the Verdigris River, OK (upstream of Lake Oologah), yielded new distributional records of 2 freshwater mussel species of conservation need: Cyprogenia aberti (Western Fanshell) and Ptychobranchus occidentalis (Ouachita Kidneyshell). The Ouachita Kidneyshell has not been documented alive during a scientific survey in the Oklahoma portion of the Verdigris River in nearly 100 years. Our observations extend the known distribution for the Western Fanshell further downstream into Oklahoma by ∼36 river km. These findings indicate an expansion in the known range and potential improvement in the populations of 2 imperiled mussel species, contrary to the prevailing global trend of mussel population decline.
","language":"English","publisher":"BioOne","doi":"10.1656/058.023.0314","collaboration":"Oklahoma Department of Wildlife Conservation","usgsCitation":"Torolski, H., Long, J.M., Lonsinger, R.C., and Bruckerhoff, L., 2024, Updated distribution for two freshwater mussel species of conservation concern in Oklahoma: Southeastern Naturalist, v. 23, no. 3, p. N44-N49, https://doi.org/10.1656/058.023.0314.","productDescription":"6 p.","startPage":"N44","endPage":"N49","ipdsId":"IP-161637","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":482451,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Verdigris River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -95.63449582978087,\n 36.9965378652591\n ],\n [\n -95.63449582978087,\n 36.66994659820287\n ],\n [\n -95.49710413665746,\n 36.66994659820287\n ],\n [\n -95.49710413665746,\n 36.9965378652591\n ],\n [\n -95.63449582978087,\n 36.9965378652591\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"23","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Torolski, Hunter M.","contributorId":351295,"corporation":false,"usgs":false,"family":"Torolski","given":"Hunter M.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":928344,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":928345,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lonsinger, Robert Charles 0000-0002-1040-7299","orcid":"https://orcid.org/0000-0002-1040-7299","contributorId":340524,"corporation":false,"usgs":true,"family":"Lonsinger","given":"Robert","email":"","middleInitial":"Charles","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":928346,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bruckerhoff, Lindsey","contributorId":204873,"corporation":false,"usgs":false,"family":"Bruckerhoff","given":"Lindsey","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":928347,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70263968,"text":"70263968 - 2024 - Processing time and precision of aging structures for Bighead Carp and Silver Carp in the lower Red River catchment in the southern Great Plains","interactions":[],"lastModifiedDate":"2025-03-04T15:37:41.307031","indexId":"70263968","displayToPublicDate":"2024-09-05T08:30:19","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Processing time and precision of aging structures for Bighead Carp and Silver Carp in the lower Red River catchment in the southern Great Plains","docAbstract":"Objective
Population demographics of invasive species are commonly evaluated to better develop management actions that are useful for reducing their abundance or controlling the population. Bighead Carp Hypophthalmichthys nobilis and Silver Carp H. molitrix are emblematic invaders in the United States, where they continue to expand their range. There is currently no consensus about which hard structure from these species is best for age estimation. Our study objective was to compare the processing time and precision of five hard structures used for age estimation of both species.
Methods
We sampled fish in the lower Red River catchment of Oklahoma, Arkansas, and Texas during summer and autumn 2021–2022 and removed the lapillus otolith, left primary pectoral fin ray, postcleithrum, urohyal bone, and anterior-most pterygiophore of the dorsal fin from both Bighead and Silver carp. The structures (n = 1204) were either embedded in epoxy or thin-sectioned and mounted on slides. Two readers estimated the age of the fish by using each structure and came to a consensus. Processing time was recorded from the onset of laboratory processing to the termination of polishing the cross sections for age estimation.
Result
Processing of otoliths was comparable to or faster than processing of the other structures and resulted in the highest between-reader agreement. The lowest coefficients of variation in age estimation were represented using lapillus otoliths for Bighead Carp and postcleithra for Silver Carp. Our age bias plots indicated that all other structures underestimated age relative to the lapillus otoliths.
Conclusion
Our results indicated that using lapillus otoliths for age estimation of these species would have the highest between-reader agreement and would incur no additional laboratory processing time. However, validation is needed to assess whether lapillus otoliths correctly age these species. From a management perspective, use of this structure would facilitate improved population comparisons.
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This three-dimensional model defines the altitude, thickness, and extent of 18 geologic units for use in a regional numerical hydrologic model. The model included an undifferentiated Proterozoic basement layer, 13 consolidated Paleozoic and Mesozoic rock units, and 4 Cenozoic units. Model input data were compiled from published cross sections, well data, structure contour maps, selected geophysical data, and data derived from geologic maps and structural features in the study area. These data were used to construct faulted surfaces that represent the upper and lower subsurface geologic unit boundaries. The digital three-dimensional geologic framework model combines faults, the altitude of the tops of each geologic unit, and boundary lines depicting the subsurface extent of each geologic unit. The digital three-dimensional geologic model described in this report and the corresponding data release represents the generalized geometry of the subsurface geologic units; it reproduces with reasonable accuracy the input geologic data and is consistent with previously published subsurface conceptualizations of the region. The geologic framework model is at a scale and resolution appropriate for use as the foundation for a numerical hydrologic model of the study area.
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The U.S. Geological Survey, in cooperation with the Massachusetts Department of Environmental Protection (MassDEP), began a study in 2018 to develop a water-quality monitoring strategy (WQMS) for Mount Hope Bay and the Taunton River Estuary in southeastern Massachusetts. MassDEP is interested in water-quality data in Mount Hope Bay and the Taunton River Estuary to characterize current water-quality conditions, assess nutrient-related effects, and capture conditions before and after planned upgrades to wastewater treatment facilities. The WQMS provides an overview of the environmental setting of Mount Hope Bay and the Taunton River Estuary and of dissolved oxygen and nutrient-related water-quality issues, reviews historical and existing monitoring data, and provides recommendations for future monitoring designed to meet five MassDEP management objectives: (1) support MassDEP’s review of coastal and marine dissolved oxygen criteria, (2) assess conditions within MassDEP waterbody assessment units in Mount Hope Bay and the Taunton River Estuary with respect to selected criteria in the Massachusetts Surface Water Quality Standards, (3) assess conditions along the freshwater/saltwater interface (salt wedge) of the Taunton River Estuary and delineate the boundary between the freshwater and saltwater waterbody assessment units, (4) estimate data requirements needed to determine nutrient loads flowing into Mount Hope Bay and the Taunton River Estuary, and (5) evaluate data requirements needed to support hydrodynamic and water-quality models for Mount Hope Bay and the Taunton River Estuary. This WQMS may be used by MassDEP to develop a statewide approach for monitoring estuaries in Massachusetts.
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Flooded areas can create temporary connections between adjacent drainages and are a relatively understudied pathway for the spread of aquatic invasive species. The Nonindigenous Aquatic Species Database’s Flood and Storm Tracker maps were developed to help natural resource managers with post-storm aquatic invasive species detection and assessment efforts. As of the summer of 2023, 16 Flood and Storm Tracker maps have been published from hurricanes and flooding events in the United States and territorial islands. Three regions along the coasts of the Gulf of Mexico and Atlantic Ocean had overlapping areas of repeated flood impacts, and fifteen pairs of adjacent river basins were potentially connected during floods. Each map had a median of 77 non-native freshwater taxa and a median of three U.S. prohibited species within their respective flood-impacted area. The Flood and Storm Tracker maps provide resource managers with information about new aquatic invasions due to potential flood dispersal that can assist with early detection and rapid response systems.
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0000-0003-2304-4674","orcid":"https://orcid.org/0000-0003-2304-4674","contributorId":204139,"corporation":false,"usgs":false,"family":"Reaver","given":"Kristen","email":"","middleInitial":"M.","affiliations":[{"id":36862,"text":"Cherokee Nations","active":true,"usgs":false}],"preferred":false,"id":924088,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dean, Emily Marie 0000-0002-5641-7193","orcid":"https://orcid.org/0000-0002-5641-7193","contributorId":335355,"corporation":false,"usgs":true,"family":"Dean","given":"Emily","email":"","middleInitial":"Marie","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":924089,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Neilson, Matthew 0000-0002-5139-5677","orcid":"https://orcid.org/0000-0002-5139-5677","contributorId":214507,"corporation":false,"usgs":true,"family":"Neilson","given":"Matthew","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":924090,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chivoiu, Bogdan 0000-0002-4568-3496","orcid":"https://orcid.org/0000-0002-4568-3496","contributorId":141229,"corporation":false,"usgs":false,"family":"Chivoiu","given":"Bogdan","affiliations":[{"id":13722,"text":"University of Louisiana-Lafayette","active":true,"usgs":false}],"preferred":false,"id":924091,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Daniel, Wesley 0000-0002-7656-8474","orcid":"https://orcid.org/0000-0002-7656-8474","contributorId":211428,"corporation":false,"usgs":true,"family":"Daniel","given":"Wesley","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":924092,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70258185,"text":"70258185 - 2024 - A novel surface energy balance method for thermal inertia studies of terrestrial analogs","interactions":[],"lastModifiedDate":"2024-09-06T15:12:53.389459","indexId":"70258185","displayToPublicDate":"2024-09-04T10:08:45","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5026,"text":"Earth and Space Science","active":true,"publicationSubtype":{"id":10}},"title":"A novel surface energy balance method for thermal inertia studies of terrestrial analogs","docAbstract":"Surface thermal inertia derived from satellite imagery offers a valuable tool for remotely mapping the physical structure and water content of planetary regolith. Efforts to quantify thermal inertia using surface temperatures on Earth, however, have consistently yielded large uncertainties and suffered from a lack of reproducibility. Unlike dry or airless bodies, Earth's abundant water and dense atmosphere lead to dynamic thermophysical conditions that are a greater challenge to model than on a world like Mars. In this work, an approach was developed using field experiments to inform and fine-tune a thermophysical model of terrestrial sediment and calculate an inherent thermal inertia value with higher precision and less initial knowledge of the sediment than has previously been achieved remotely on Earth. A thermal inertia derived for a basaltic tephra site in Northern Arizona was replicated within 1% between different field seasons, demonstrating reproducibility. Model-derived values were validated in situ by two different thermophysical field probes to within 8% of the measured mean values. Analog studies such as this hold the promise of improved interpretations of surface materials on Mars, and an accurate thermal model for Earth is the key step to enabling translation between the two worlds.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023EA003259","usgsCitation":"Koeppel, A., Edwards, C., Edgar, L.A., Nowicki, S.A., Bennett, K.A., Gullikson, A.L., Piqueux, S., Eifert, H.A., Chapline, D., and Rogers, A., 2024, A novel surface energy balance method for thermal inertia studies of terrestrial analogs: Earth and Space Science, v. 11, no. 9, e2023EA003259, 28 p., https://doi.org/10.1029/2023EA003259.","productDescription":"e2023EA003259, 28 p.","ipdsId":"IP-157442","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":439176,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023ea003259","text":"Publisher Index Page"},{"id":433555,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"9","noUsgsAuthors":false,"publicationDate":"2024-09-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Koeppel, Ari","contributorId":343979,"corporation":false,"usgs":false,"family":"Koeppel","given":"Ari","email":"","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":912516,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edwards, Christopher S.","contributorId":206168,"corporation":false,"usgs":false,"family":"Edwards","given":"Christopher S.","affiliations":[{"id":7202,"text":"NAU","active":true,"usgs":false}],"preferred":false,"id":912517,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edgar, Lauren A. 0000-0001-7512-7813 ledgar@usgs.gov","orcid":"https://orcid.org/0000-0001-7512-7813","contributorId":167501,"corporation":false,"usgs":true,"family":"Edgar","given":"Lauren","email":"ledgar@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":912518,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nowicki, Scott A","contributorId":216483,"corporation":false,"usgs":false,"family":"Nowicki","given":"Scott","email":"","middleInitial":"A","affiliations":[{"id":13339,"text":"University of New Mexico, Albuquerque","active":true,"usgs":false}],"preferred":false,"id":912519,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bennett, Kristen A. 0000-0001-8105-7129","orcid":"https://orcid.org/0000-0001-8105-7129","contributorId":237068,"corporation":false,"usgs":true,"family":"Bennett","given":"Kristen","email":"","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":912520,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gullikson, Amber L. 0000-0002-1505-3151","orcid":"https://orcid.org/0000-0002-1505-3151","contributorId":208679,"corporation":false,"usgs":true,"family":"Gullikson","given":"Amber","email":"","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":912521,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Piqueux, Sylvain","contributorId":56986,"corporation":false,"usgs":false,"family":"Piqueux","given":"Sylvain","email":"","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":912522,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Eifert, Helen A.","contributorId":343980,"corporation":false,"usgs":false,"family":"Eifert","given":"Helen","email":"","middleInitial":"A.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":912523,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Chapline, Daphne","contributorId":343987,"corporation":false,"usgs":false,"family":"Chapline","given":"Daphne","email":"","affiliations":[],"preferred":false,"id":912566,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rogers, A. Deanne","contributorId":343982,"corporation":false,"usgs":false,"family":"Rogers","given":"A. Deanne","affiliations":[{"id":36488,"text":"Stony Brook University","active":true,"usgs":false}],"preferred":false,"id":912524,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70257580,"text":"pp1888 - 2024 - New U-Pb geochronology and geochemistry of Paleozoic metaigneous rocks from western Yukon and eastern Alaska, cross-border synthesis, and implications for tectonic models","interactions":[],"lastModifiedDate":"2025-08-15T16:38:04.454212","indexId":"pp1888","displayToPublicDate":"2024-09-04T09:21:34","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1888","displayTitle":"New U-Pb Geochronology and Geochemistry of Paleozoic Metaigneous Rocks from Western Yukon and Eastern Alaska, Cross-Border Synthesis, and Implications for Tectonic Models","title":"New U-Pb geochronology and geochemistry of Paleozoic metaigneous rocks from western Yukon and eastern Alaska, cross-border synthesis, and implications for tectonic models","docAbstract":"The tectonic evolution of and relation between the Yukon-Tanana terrane and the Lake George assemblage, as well as other associated tectonic assemblages in western Yukon and eastern Alaska, have been debated for decades. The Yukon-Tanana terrane is widely considered to be an allochthonous rifted fragment derived from the Laurentian continental margin, whereas the Lake George assemblage and associated assemblages are currently interpreted to be part of the parautochthonous continental margin of western North America (Laurentia). To address these topics, we present 40 new U-Pb zircon ages and 20 new whole-rock geochemical analyses. We incorporate these data into a new compilation of available geological mapping for a large area that straddles the Alaska-Yukon border, together with 34 previously published U-Pb age determinations and an extensive geochemical database of metaigneous rocks from Late Devonian to Early Mississippian and middle to late Permian assemblages in this area.
Magmatism in the Lake George assemblage and related assemblages occurred in two pulses from about 371 to 360 and from about 358 to 347 million years ago (Ma); geochemical discrimination diagrams indicate a large crustal component, possibly indicative of arc magmatism, for felsic metaigneous rocks and a range of tectonic environments for mafic rocks. Magmatism in the Fortymile River and related assemblages, and parts of the Nasina assemblage—all parts of the Yukon-Tanana terrane—are mainly Early Mississippian and span a crystallization age range from about 361 to 343 Ma; geochemical discrimination diagrams for these rocks indicate primarily arc geochemical signatures for both mafic and felsic rocks. Middle to late Permian crystallization ages (about 261–253 Ma) are indicated for felsic metaigneous rocks in the Klondike assemblage and some of the felsic metaigneous rocks in the Nasina assemblage. Based on our mapping, we propose the existence of a possible unconformity between the Mississippian and Permian felsic metavolcanic rocks within the Nasina assemblage that is marked by sporadic occurrences of stretched-pebble conglomerate.
Our combined database supports the well-established model of a magmatic arc comprising the Fortymile River and Finlayson assemblages of the rifted Yukon-Tanana terrane continental fragment on which a middle to late Permian arc (Klondike assemblage) was later built. The assemblages of the Yukon-Tanana terrane were subsequently intruded by Late Triassic to Early Jurassic granitoids, presumably during reaccretion of the Yukon-Tanana terrane to the continental margin. Permian and Late Triassic to Early Jurassic intrusions have not been mapped in the now structurally lower plate Lake George assemblage; their absence is one of the lines of evidence that have been used to support the parautochthonous, rather than allochthonous, origin of the Lake George assemblage and related assemblages. Our new data, together with previously published ranges of igneous crystallization ages and geochemical tectonic signatures of the Late Devonian to Early Mississippian magmatic rocks in the Lake George assemblage and associated assemblages and in the Fortymile River, Nasina, and correlated assemblages of the Yukon-Tanana terrane, indicate that the currently accepted interpretation of the Lake George assemblage and associated rocks being part of parauthochthonous North America is not the only possible interpretation of this tectonic entity. Approximately half of the dated intrusive rocks in the Lake George assemblage are contemporaneous with the metaigneous rocks of the Yukon-Tanana terrane arc (<361 Ma). We speculate that our approximately 361 Ma U-Pb age for quartz syenite in part of the North American continental margin in south-central Yukon defines the beginning of rifting of the Laurentian margin. Although the currently favored model of prolonged middle Paleozoic subduction and extension in both the Yukon-Tanana terrane and parautochthonous North America allows for simultaneous middle Paleozoic magmatism on both sides of the Slide Mountain Ocean, we now propose an alternative hypothesis in which the Lake George assemblage represents a deeper part of the rifted Yukon-Tanana terrane arc. If this is the case, the absence of Permian and Late Triassic to Early Jurassic arc rocks in the Lake George assemblage could be explained either by the arcs of these ages not being wide enough to have affected the Lake George assemblage or by tectonic displacement of these arc rocks away from the Lake George assemblage.
Our approximately 259 Ma U-Pb zircon age and geochemical analyses of metarhyolite in the Seventymile terrane in Alaska, which comprises remnants of the back-arc basin that separated the Yukon-Tanana terrane from the Laurentian continental margin, confirm the presence of a late middle Permian volcanic arc component to the terrane. Our approximately 319 Ma U-Pb zircon age from the Chicken assemblage (as redefined in this study) in eastern Alaska, combined with previously reported fossil ages and a U-Pb zircon age from this assemblage, indicate that it is a Late Mississippian to Early Pennsylvanian arc assemblage. We propose several other relatively young, locally developed arc assemblages outboard of the ancient continental margin of Laurentia that may correlate with the Chicken assemblage, but we consider its origin to remain an enigma.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1888","usgsCitation":"Dusel-Bacon, C., and Mortensen, J.K., 2024, New U-Pb geochronology and geochemistry of Paleozoic metaigneous rocks from western Yukon and eastern Alaska, cross-border synthesis, and implications for tectonic models (ver. 1.1, December 2024): U.S. Geological Survey Professional Paper 1888, 100 p., https://doi.org/10.3133/pp1888.","productDescription":"Report: vi, 100 p.; Data Release","numberOfPages":"100","onlineOnly":"Y","ipdsId":"IP-120238","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":494234,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117305.htm","linkFileType":{"id":5,"text":"html"}},{"id":432900,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/pp/1888/images"},{"id":432899,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/pp/1888/pp1888.xml"},{"id":432898,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1888/pp1888.pdf","text":"Report","size":"13 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":432896,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93ZWGA1","text":"USGS Data Release","description":"Dusel-Bacon, C., and Mortensen, J.K., 2023, New U-Pb geochronology and geochemistry of Paleozoic metaigneous rocks from western Yukon and eastern Alaska: U.S. Geological Survey data release, https://doi.org/10.5066/P93ZWGA1.","linkHelpText":"New U-Pb geochronology and geochemistry of Paleozoic metaigneous rocks from western Yukon and eastern Alaska"},{"id":432901,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/pp1888/full"},{"id":432897,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1888/covrthb.jpg"},{"id":465115,"rank":7,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/pp/1888/versionHist.txt","size":"2 KB","linkFileType":{"id":2,"text":"txt"}}],"country":"Canada, United States","state":"Alaska","otherGeospatial":"Yukon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -165.8250144876443,\n 71.34744883614135\n ],\n [\n -165.8250144876443,\n 53.1023500477161\n ],\n [\n -121.35235823764475,\n 53.1023500477161\n ],\n [\n -121.35235823764475,\n 71.34744883614135\n ],\n [\n -165.8250144876443,\n 71.34744883614135\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"ver. 1.0: September 4, 2024; ver. 1.1: December 16, 2024","contact":"Geology, Minerals, Energy, & Geophysics Science Center
U.S. Geological Survey
Building 19, 350 N. Akron Rd.
P.O. Box 158
Moffett Field, CA 94035
The Little St. Francis River and its tributaries drain metals-contaminated areas of the Madison County Mines National Priority List Superfund site (MCM) which was designated in 2003 to facilitate remediation of metals contamination within the MCM. One concern for natural resource trustees in the MCM is the potential effects of elevated metals concentrations on the federally threatened St. Francis River crayfish, Faxonius quadruncus, which has a geographic range that is limited to the St. Francis River watershed. A survey of riffle-dwelling crayfish, in-situ cage study, and laboratory toxicity tests were conducted to assess the effects of mining-derived metals on F. quadruncus and other crayfish species in the MCM. Crayfish densities were significantly greater at sites upstream of metals releases from historical mining (henceforth mining releases) compared to densities at sites downstream of mining releases, and metals concentrations in whole-body crayfish, surface water, sediments, macroinvertebrates, fish, and plant material were greater at sites downstream of mining releases compared to sites upstream of mining releases. Crayfish densities were also negatively correlated with consensus-based adverse effects indices, expressed as surface-water toxic units and sediment probable effects quotients. Decreased growth and increased mortality during cage and laboratory studies were likely due to exposure to, and subsequently uptake of, elevated concentrations of metals. Crayfish in all studies were found to bioaccumulate metals, which supports their utility as bioindicators of metals contamination. Study results show that elevated metals concentrations associated with mining releases in the MCM continue to adversely affect biota, including the federally threatened F. quadruncus.
","language":"English","publisher":"Springer","doi":"10.1007/s10646-024-02773-9","usgsCitation":"Allert, A., Cleveland, D.M., DiStefano, R.J., Wildhaber, M.L., and Lueckenhoff, L.K., 2024, Chronic effects of metal releases from historical mining on threatened crayfish in Madison County Missouri, USA: Ecotoxicology, v. 33, p. 1096-1121, https://doi.org/10.1007/s10646-024-02773-9.","productDescription":"26 p.; 2 Data Releases","startPage":"1096","endPage":"1121","ipdsId":"IP-108195","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":434905,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9IKIEJH","text":"USGS data release","linkHelpText":"Effects of metals from historical mining on crayfish in Madison County Missouri USA, 2015"},{"id":434906,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93YTJ3K","text":"USGS data release","linkHelpText":"Chronic toxicity of metals in two water hardness to three sizes of the crayfish Faxonius quadruncus Missouri, USA 2017-2018"},{"id":433607,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","county":"Madison County","otherGeospatial":"Little St. Francis River, Madison County Mines National Priority List Superfund site","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -90.25,\n 37.7\n ],\n [\n -90.5,\n 37.7\n ],\n [\n -90.5,\n 37.5333\n ],\n [\n -90.25,\n 37.5333\n ],\n [\n -90.25,\n 37.7\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"33","noUsgsAuthors":false,"publicationDate":"2024-09-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Allert, Ann 0000-0001-7063-8016 aallert@usgs.gov","orcid":"https://orcid.org/0000-0001-7063-8016","contributorId":178200,"corporation":false,"usgs":true,"family":"Allert","given":"Ann","email":"aallert@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":912620,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cleveland, Danielle M. 0000-0003-3880-4584 dcleveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3880-4584","contributorId":187471,"corporation":false,"usgs":true,"family":"Cleveland","given":"Danielle","email":"dcleveland@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":912621,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DiStefano, Robert J.","contributorId":204893,"corporation":false,"usgs":false,"family":"DiStefano","given":"Robert","email":"","middleInitial":"J.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":912622,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":912623,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lueckenhoff, Leslie K.","contributorId":344023,"corporation":false,"usgs":false,"family":"Lueckenhoff","given":"Leslie","email":"","middleInitial":"K.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":912624,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70258218,"text":"70258218 - 2024 - Flooding and dam operations facilitate rapid upstream migrations of native and invasive fish species on a regulated large river","interactions":[],"lastModifiedDate":"2024-09-09T13:29:13.684295","indexId":"70258218","displayToPublicDate":"2024-09-04T08:24:01","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":"Flooding and dam operations facilitate rapid upstream migrations of native and invasive fish species on a regulated large river","docAbstract":"Dams commonly restrict fish movements in large rivers but can also help curtail the spread of invasive species, such as invasive bigheaded carps (Hypophthalmichthys spp). To determine how dams in the upper Mississippi River (UMR) affect large-scale invasive and native fish migrations, we tracked American paddlefish (Polyodon spathula) and bigheaded carp across > 600 river km (rkm) and 16 navigation locks and dams (LD) of the UMR during 2 years with contrasting water levels. In 2022, a low-water year, both native paddlefish and invasive bigheaded carp had low passage rates (4% and 0.6% respectively) through LD15, a movement bottleneck being studied for invasive carp control. In contrast, flooding in 2023 led to open-river conditions across multiple dams simultaneously, allowing 53% of paddlefish and 46% of bigheaded carp detected in Pool 16 to move upstream through LD15. Bigheaded carp passed upstream through LD15 rapidly (μ = 32 rkm per day) a maximum of 381 rkm, whereas paddlefish moved an average of 9 upstream rkm per day (maximum of 337 rkm). Our results can inform managers examining trade-offs between actions that enhance native fish passage or deter movements of invasive species. This understanding is critical because current climate change models project increases in flooding events like that observed during 2023.
","language":"English","publisher":"Nature","doi":"10.1038/s41598-024-70076-4","usgsCitation":"Fritts, M.W., Gibson-Reinemer, D., Appel, D., Lieder, K., Henderson, C., Milde, A.S., Brey, M.K., Lamer, J.T., Turney, D., Witzel, Z., Szott, E., Loppnow, G., Stiras, J., Zankle, K., Oliver, D., Hoxmeier, J., and Fritts, A.K., 2024, Flooding and dam operations facilitate rapid upstream migrations of native and invasive fish species on a regulated large river: Scientific Reports, v. 14, 20609, 13 p., https://doi.org/10.1038/s41598-024-70076-4.","productDescription":"20609, 13 p.","ipdsId":"IP-165391","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":439177,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-024-70076-4","text":"Publisher Index Page"},{"id":434910,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14GQIVU","text":"USGS data release","linkHelpText":"Data release associated with research that describes how major flooding and dam operations in the upper Mississippi River contribute to large upstream migrations of native paddlefish and invasive bigheaded carp"},{"id":433606,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa, Minnesota, Wisconsin","otherGeospatial":"Upper Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.25787556641367,\n 40.42244612798186\n ],\n [\n -90.82372832470921,\n 40.82020369765013\n ],\n [\n -90.80607844515433,\n 41.320317914752195\n ],\n [\n -90.14320118215963,\n 41.49294207849496\n ],\n [\n -89.9590665514331,\n 42.26872426014131\n ],\n [\n -90.7263196319054,\n 42.90987219399426\n ],\n [\n -90.97188214737182,\n 43.434262173939516\n ],\n [\n 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0000-0003-1155-1548","orcid":"https://orcid.org/0000-0003-1155-1548","contributorId":196307,"corporation":false,"usgs":false,"family":"Lamer","given":"James","email":"","middleInitial":"T.","affiliations":[{"id":48847,"text":"Illinois River Biological Station, Illinois Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":912610,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Turney, Dominque","contributorId":344005,"corporation":false,"usgs":false,"family":"Turney","given":"Dominque","email":"","affiliations":[{"id":36894,"text":"Illinois Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":912611,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Witzel, Zachary","contributorId":344008,"corporation":false,"usgs":false,"family":"Witzel","given":"Zachary","email":"","affiliations":[{"id":36894,"text":"Illinois Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":912612,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Szott, Emily","contributorId":344011,"corporation":false,"usgs":false,"family":"Szott","given":"Emily","email":"","affiliations":[{"id":36894,"text":"Illinois Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":912613,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Loppnow, Grace","contributorId":344014,"corporation":false,"usgs":false,"family":"Loppnow","given":"Grace","email":"","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":912614,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Stiras, Joel","contributorId":335317,"corporation":false,"usgs":false,"family":"Stiras","given":"Joel","email":"","affiliations":[{"id":80366,"text":"MNDNR, St. Paul, MN","active":true,"usgs":false}],"preferred":false,"id":912615,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Zankle, Kayla","contributorId":344017,"corporation":false,"usgs":false,"family":"Zankle","given":"Kayla","email":"","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":912616,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Oliver, Devon","contributorId":195899,"corporation":false,"usgs":false,"family":"Oliver","given":"Devon","affiliations":[],"preferred":false,"id":912617,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Hoxmeier, John","contributorId":344020,"corporation":false,"usgs":false,"family":"Hoxmeier","given":"John","email":"","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":912618,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Fritts, Andrea K. 0000-0003-2142-3339","orcid":"https://orcid.org/0000-0003-2142-3339","contributorId":204594,"corporation":false,"usgs":true,"family":"Fritts","given":"Andrea","email":"","middleInitial":"K.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":912619,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70258230,"text":"70258230 - 2024 - Streamflow timing and magnitude during snow drought depend on snow drought type and regional hydroclimate","interactions":[],"lastModifiedDate":"2024-09-09T12:00:38.075534","indexId":"70258230","displayToPublicDate":"2024-09-04T06:57:40","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1927,"text":"Hydrological Sciences Journal","active":true,"publicationSubtype":{"id":10}},"title":"Streamflow timing and magnitude during snow drought depend on snow drought type and regional hydroclimate","docAbstract":"Communities around the world rely on snowmelt to meet water demands, and periods of lower than normal snow accumulation, snow droughts, can decrease water supplies. Leveraging 172 minimally disturbed and seasonally snow-covered watersheds, we developed an approach to examine the effects of cool & dry, warm & dry, and warm & wet snow droughts on streamflow timing and magnitude by hydrologic region. Our results showed all types of snow droughts in all regions correlate with lower annual streamflow, lower maximum and minimum flows, and lower runoff ratios, with more numerous low flow days and earlier streamflow timing. However, departures from non-snow drought conditions differed substantially between drought types and regions. Consecutive snow droughts further reduced runoff ratios and increased low flow days, likely due to additional subsurface storage depletion. With warm snow drought occurrence expected to increase, we discuss impacts for water management systems whose design specifications may not reflect the changing hydroclimate.
Many conservation actions must be implemented with limited data. This is especially true when planning recovery efforts for extirpated populations, such as grizzly bears (Ursus arctos) within the Bitterroot Ecosystem (BE), where strategies for reestablishing a resident population are being evaluated. Here, we applied individual-based movement models developed for a nearby grizzly bear population to predict habitat use in and near the BE, under scenarios of natural recolonization, reintroduction, and a combination. All simulations predicted that habitat use by grizzly bears would be higher in the northern half of the study area. Under the natural recolonization scenario, use was concentrated in Montana, but became more uniform across the northern BE in Idaho over time. Use was more concentrated in east-central Idaho under the reintroduction scenario. Assuming that natural recolonization continues even if bears are reintroduced, use remained widespread across the northern half of the BE and surrounding areas. Predicted habitat maps for the natural recolonization scenario aligned well with outlier and GPS collar data available for grizzly bears in the study area, with Spearman rank correlations of ≥0.93 and mean class values of ≥9.1 (where class 10 was the highest relative predicted use; each class 1–10 represented 10% of the landscape). In total, 52.4% of outlier locations and 79% of GPS collar locations were in class 10 in our predicted habitat maps for natural recolonization. Simulated grizzly bears selected habitats over a much larger landscape than the BE itself under all scenarios, including multiple-use and private lands, similar to existing populations that have expanded beyond recovery zones. This highlights the importance of recognizing and planning for the role of private lands in recovery efforts, including understanding resources needed to prevent and respond to human-grizzly bear conflict and maintain public acceptance of grizzly bears over a large landscape.
The effort to map terrestrial biodiversity, in recent years limited mostly to the use of broadband multispectral remote sensing at decameter scales, can be greatly enhanced by harnessing hyperspectral imagery. Interpretation of hyperspectral imagery may be aided by the Mixture Residual (MR) spectral preprocessing transformation. MR integrates the benefits of spectral mixture analysis with the absorption peak-enhancing characteristics of continuum removal. MR characterizes each pixel as a linear combination of generic end-members estimating the spectral continuum, from which the residual of each wavelength is computed and treated as a source of additional information. Using Hyperspectral Precursor of the Application Mission (PRISMA) imagery, we tested the ability of MR-transformed reflectance as compared to untransformed surface reflectance (SR) to map plant associations and land cover using ground truthing and random forest classifications across four landscapes within the North American Coastal Plain. We used a forward stepwise selection algorithm to choose bands for each classification and subsequently compared these between SR and MR. Our MR classifications distinguished land cover with 5% greater balanced accuracy on average than the SR-based classifications across all four landscapes. The MR-based classification that integrated data from all landscapes into a unified model encompassing all 21 land cover types achieved a 76% average balanced accuracy over three iterations. Generally, MR utilized the near-infrared region to a greater degree than SR while deemphasizing the green peak. Based on our results, MR improves the accuracy of mapping terrestrial biodiversity, likely extending to other current and planned satellite hyperspectral missions.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JG008217","usgsCitation":"Rogers, J.A., Robertson, K.M., Hawbaker, T., and Sousa, D.J., 2024, Classifying plant communities in the North American Coastal Plain with PRISMA spaceborne hyperspectral imagery and the spectral mixture residual: JGR Biogeosciences, v. 129, no. 9, e2024JG008217, 19 p., https://doi.org/10.1029/2024JG008217.","productDescription":"e2024JG008217, 19 p.","ipdsId":"IP-165238","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":439180,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024jg008217","text":"Publisher Index Page"},{"id":433495,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"129","issue":"9","noUsgsAuthors":false,"publicationDate":"2024-09-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Rogers, Jennifer A.","contributorId":244616,"corporation":false,"usgs":false,"family":"Rogers","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":912306,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robertson, Kevin M.","contributorId":298157,"corporation":false,"usgs":false,"family":"Robertson","given":"Kevin","email":"","middleInitial":"M.","affiliations":[{"id":36874,"text":"Tall Timbers Research Station","active":true,"usgs":false}],"preferred":false,"id":912307,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":568,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":912308,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sousa, Daniel J.","contributorId":343899,"corporation":false,"usgs":false,"family":"Sousa","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":16253,"text":"Department of Geography, San Diego State University","active":true,"usgs":false}],"preferred":false,"id":912309,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70263063,"text":"70263063 - 2024 - Modeling regional occupancy of fishes using acoustic telemetry: A model comparison framework applied to lake trout","interactions":[],"lastModifiedDate":"2025-01-29T16:01:54.585935","indexId":"70263063","displayToPublicDate":"2024-09-03T08:56:19","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":773,"text":"Animal Biotelemetry","active":true,"publicationSubtype":{"id":10}},"title":"Modeling regional occupancy of fishes using acoustic telemetry: A model comparison framework applied to lake trout","docAbstract":"Acoustic telemetry is a common tool used in fisheries management to estimate fish space use (i.e., occupancy) from a local habitat scale to entire systems. Numerous analytical models have been developed to estimate different aspects of fish movement from telemetry datasets, yet evaluations of model performance and comparisons among models are limited. Here, we develop a framework to evaluate model estimates of regional occupancy in large and fragmented systems using an acoustic receiver array in Lake Champlain. We simulated the tracks of 100 acoustically tagged fish using a random walk function and created detection events based on receiver positions and distance-based detection probability. Regional occupancy for the simulated data was estimated by six movement models that ranged in analytical complexity, and results were compared to the true distributions for each simulated track to evaluate model error. The six movement models included: (1) a basic residency index using detections alone; (2) a residency index using last-observation-carried-forward; (3) a centers of activity model; (4) linear and non-linear interpolations (i.e., least-cost paths); and (5 and 6) two dynamic Brownian bridge movement models generated using separate packages in R. We developed a model selection process to compare model performance and select the optimal analysis based on simulation error. This process showed significant differences in model performance among the six movement models based on model error. Overall, the model generating least-cost paths using linear and non-linear interpolations consistently provided the most accurate regional occupancy estimates. Based on these simulation results, we applied this model to a case study that evaluated patterns in the regional distribution of stocked lake trout (Salvelinus namaycush) in Lake Champlain, which demonstrated distinct regional occupancy of two stocked lake trout groups. These results demonstrate potential for large variability in interpretation of acoustic telemetry data for describing regional fish distribution dependent on the analytical method used.
","language":"English","publisher":"Springer Nature","doi":"10.1186/s40317-024-00380-3","usgsCitation":"Futia, M., Binder, T., Henderson, M., and Marsden, J., 2024, Modeling regional occupancy of fishes using acoustic telemetry: A model comparison framework applied to lake trout: Animal Biotelemetry, v. 12, 25, 16 p., https://doi.org/10.1186/s40317-024-00380-3.","productDescription":"25, 16 p.","ipdsId":"IP-164562","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":489756,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40317-024-00380-3","text":"Publisher Index Page"},{"id":481459,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"New York, Vermont","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.45559820823414,\n 45.14081170765235\n ],\n [\n -73.45559820823414,\n 44.25840593080014\n ],\n [\n -73.1040357082343,\n 44.25840593080014\n ],\n [\n -73.1040357082343,\n 45.14081170765235\n ],\n [\n -73.45559820823414,\n 45.14081170765235\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2024-09-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Futia, Matthew H.","contributorId":350119,"corporation":false,"usgs":false,"family":"Futia","given":"Matthew H.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":925424,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Binder, Thomas R.","contributorId":350120,"corporation":false,"usgs":false,"family":"Binder","given":"Thomas R.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":925425,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henderson, Mark J. 0000-0002-2861-8668 mhenderson@usgs.gov","orcid":"https://orcid.org/0000-0002-2861-8668","contributorId":198609,"corporation":false,"usgs":true,"family":"Henderson","given":"Mark J.","email":"mhenderson@usgs.gov","affiliations":[],"preferred":false,"id":925426,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marsden, J. Ellen","contributorId":350121,"corporation":false,"usgs":false,"family":"Marsden","given":"J. Ellen","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":925427,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70267192,"text":"70267192 - 2024 - Managing climate-change refugia to prevent extinctions","interactions":[],"lastModifiedDate":"2025-05-16T14:57:09.795431","indexId":"70267192","displayToPublicDate":"2024-09-03T07:50:35","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3653,"text":"Trends in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Managing climate-change refugia to prevent extinctions","docAbstract":"Earth is facing simultaneous biodiversity and climate crises. Climate-change refugia – areas that are relatively buffered from climate change – can help address both of these problems by maintaining biodiversity components when the surrounding landscape no longer can. However, this capacity to support biodiversity is often vulnerable to severe climate change and other stressors. Thus, management actions need to consider the complex and multidimensional nature of refugia. We outline an approach to understand refugia-promoting processes and to evaluate refugial capacity to determine suitable management actions. Our framework applies climate-change refugia as tools to facilitate resistance in modern conservation planning. Such refugia-focused management can reduce extinctions and maintain biodiversity under climate change.","language":"English","publisher":"Elsevier","doi":"10.1016/j.tree.2024.05.002","usgsCitation":"Keppel, G., Stralberg, D., Morelli, T.L., and Bátori, Z., 2024, Managing climate-change refugia to prevent extinctions: Trends in Ecology and Evolution, v. 39, no. 9, p. 800-808, https://doi.org/10.1016/j.tree.2024.05.002.","productDescription":"9 p.","startPage":"800","endPage":"808","ipdsId":"IP-164505","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":488994,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.tree.2024.05.002","text":"Publisher Index Page"},{"id":486066,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Keppel, Gunnar","contributorId":355400,"corporation":false,"usgs":false,"family":"Keppel","given":"Gunnar","affiliations":[{"id":63022,"text":"University of South Australia","active":true,"usgs":false}],"preferred":false,"id":937227,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stralberg, Diana","contributorId":355401,"corporation":false,"usgs":false,"family":"Stralberg","given":"Diana","affiliations":[{"id":13540,"text":"Canadian Forest Service","active":true,"usgs":false}],"preferred":false,"id":937228,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morelli, Toni Lyn 0000-0001-5865-5294 tmorelli@usgs.gov","orcid":"https://orcid.org/0000-0001-5865-5294","contributorId":197458,"corporation":false,"usgs":true,"family":"Morelli","given":"Toni","email":"tmorelli@usgs.gov","middleInitial":"Lyn","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":937229,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bátori, Zoltán","contributorId":355404,"corporation":false,"usgs":false,"family":"Bátori","given":"Zoltán","affiliations":[{"id":84741,"text":"MTA-SZTE","active":true,"usgs":false}],"preferred":false,"id":937230,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70258400,"text":"70258400 - 2024 - Current and future potential net greenhouse gas sinks of existing, converted, and restored marsh and mangrove forest habitats","interactions":[],"lastModifiedDate":"2024-11-22T16:01:42.116926","indexId":"70258400","displayToPublicDate":"2024-09-03T07:16:33","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Current and future potential net greenhouse gas sinks of existing, converted, and restored marsh and mangrove forest habitats","docAbstract":"Marsh and mangrove forest habitats are productive at capturing and storing carbon, thus actions to protect and create coastal blue carbon sinks could help mitigate global warming. Dredged material is often used to create coastal habitats and evaluating the carbon impact of placement alternatives (PA) could help inform restoration and climate policies. Output from a Delft3D-FM morphodynamics and hydrodynamics model informed a Coastal Wetlands Carbon Model at years 2020, 2025, 2030, and 2050. Three model simulations were used and included (1) no restoration (PA1), (2) restoration dominated with mangroves (PA2), and (3) restoration dominated with marshes (PA3) at a different location. Habitats of brackish marsh, saline marsh, mangrove forest, and saline open water that surround Port Fourchon, Louisiana, U.S.A., were evaluated to estimate the net greenhouse gas (GHG) flux of the study area with and without restoration. In years 2020 and 2025, the study area was estimated to be a net GHG sink (−1.1 ± 0.2 MMT CO2e) with or without mangrove and marsh-dominated restoration. At years 2030 and 2050, even with habitat loss due to sea-level rise, the study area for all simulations was projected to remain a net GHG sink. At year 2050, +0.1 ± 0.04 MMT CO2e could be avoided with restoration. At the restoration project scale, mangrove-dominated restoration (PA2) had net GHG sinks (−0.07 to −0.09 MMT CO2e) near the marsh-dominated restoration (PA3, −0.09 to −0.13 MMT CO2e). Thus, these modeled results could help inform future restoration planning and climate policies.
A detailed analysis is made of horizontal-component geomagnetic-disturbance data acquired at the Colaba observatory in India recording the Carrington magnetic storm of September 1859. Prior to attaining its maximum absolute value, disturbance at Colaba increased with an e-folding timescale of 0.46 hr (28 min). Following its maximum, absolute disturbance at Colaba decreased as a trend having an e-folding timescale of 0.31 hr (19 min). Both of these timescales are much shorter than those characterizing the drift period of ring-current ions. Furthermore, over one 28-min interval when absolute disturbance was increasing, the data indicate an absolute rate of change of ≥2,436 nT/hr. If this is representative of disturbance generated by a symmetric magnetospheric ring current, then, assuming a standard and widely used parameterization, an interplanetary electric field of ≥451 mV/m is indicated. An idealized and extreme solar-wind dynamic pressure could, conceivably, reduce this bound on the interplanetary electric field to ≥202 mV/m. If the parameterization for electric-field extrapolation is accurate, but the field strengths obtained are deemed implausible, then it can be concluded that the Colaba disturbance data were significantly affected by partial-ring, field-aligned, or ionospheric currents. The same conclusion is supported by the shortness of the e-folding timescales characterizing the Colaba data. Several prominent studies of the Carrington event need to be reconsidered.