This paper presents a summary of previously published work (Celebi 2023) related to the new Self-Anchored Suspension (SAS) bridge that went into service within the last decade as a replacement for the older truss bridge spanning between Yerba Buena Island and Oakland, California, within the San Francisco Bay Area. During the October 19, 1989 M6.9 Loma Prieta earthquake, which occurred ~100 km south of the Bay Bridge, a section of the upper deck of the truss bridge fell onto the lower deck – thus closing this important lifeline between San Francisco and Oakland. The SAS is unique, self-anchored, and suspended by a single tower that is pivotal in trafficking the cable and hanger system to support the decks. The SAS bridge is extensively instrumented by the California Geological Survey’s Strong Motion Instrumentation Program (CSMIP). There are approximately 85 channels of accelerometers in the seismic monitoring system that recorded the October 14, 2019 Mw4.6 Pleasant Hill earthquake. The data allow a complex but identifiable coupled response of the deck, tower, and cable system. Both acceleration and displacement time-history data are used to extract significant frequencies using system identification methods, including spectral analyses. Results are compared to those from finite-element-model (FEM) analyses carried out during the design and analysis process of the bridge in 2002 (Nader et al. 2002). There are differences between FEM analyses results and those from the low amplitude shaking caused by a seismic event. An apparent frequency (period) of the SAS bridge is assessed (approximately 5.2 seconds). In a plot of deck length versus period, there is an almost linear relationship with periods of other regular suspension bridges, such as the Golden Gate Bridge and the Carquinez Bridge, both in the San Francisco Bay.
Throughout Hawai'i, fishponds are considered by their local communities as important cultural touchstones, a source of local, sustainably produced food, and an important component to the development of community-based management for nearshore fisheries. Within Kaloko-Honokōhau National Historical Park, the restoration of Kaloko Fishpond for traditional aquaculture management is a goal of both the National Park Service (NPS) and Hui Kaloko-Honokōhau, a community-based group of kia'i, i.e., caretakers and native Hawaiian cultural practitioners. However, existing data on the demographics and condition of the fish populations within the pond, and the fish-habitat quality are poor to non-existent. Therefore, the objectives of this study were to: catalog fish species composition and distribution in the pond; estimate the abundance of focal species/taxonomic groups; and evaluate the occupancy patterns of the invasive algae Acanthophora spicifera and Upside-down Jellyfish Cassiopea andromeda. As part of these objectives, a survey protocol and analysis framework were designed and evaluated to ensure that the NPS and community group would be able to refine and implement them to continue their monitoring efforts. We conducted dual-observer shore-based visual surveys multiple times per week during September-October 2020 and April-September 2022. A total of 41 species/taxonomic groups were recorded over the course of the surveys. The largest number of species/taxonomic groups were observed at survey stations located on or near the kuapā, or wall separating the fishpond from the ocean. N-mixture models fitted to the data estimated a total population of 353 – 392 mullets, 134 – 192 flagtails (āholehole), and 189 – 277 Milkfish (Awa) Chanos chanos occurring within the 1.2-ha portion of Kaloko Fishpond that could be surveyed visually from the shoreline. Multi-season occupancy models fitted to the surveyed presence of A. spicifera and Upside-down Jellyfish indicted sites throughout most of the pond exhibited moderate and consistent occupancy (ψ = 0.30 – 0.40) throughout much of the pond, except for the northeast corner of the pond (Kaloko Iki) where colonization rates were lower and extinction rates higher than other areas within Kaloko. The visual survey method developed for this study provides a low-cost and effective starting point for the development of methodology that can be used both by NPS personnel and volunteers from the community group. However, we were only able to estimate fish populations for approximately 24% of the area of Kaloko Fishpond with this method. Given that the deeper areas of Kaloko Fishpond are completely inaccessible to the visual survey method used, generating population estimates for the entire pond based on the parameters estimated in the current study is not recommended without further investigation into fish movement and habitat use. Various means to refine this protocol to better meet the needs and abilities of the NPS and community group are proposed.
","language":"English","publisher":"University of Hawai'i","usgsCitation":"Grabowski, T.B., Tabandera, R., Greenwald, N., and Larson, A., 2024, Assessing habitat use and population dynamics of fisheries resources at Kaloko Fishpond: Hawai’i Cooperative Fishery Research Unit Technical Report Series HCFRU-003, 80 p.","productDescription":"80 p.","ipdsId":"IP-154335","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":494691,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/10790/43639","linkFileType":{"id":5,"text":"html"}},{"id":494905,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kalako Fishpond","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -156.03516036623958,\n 19.68986132494203\n ],\n [\n -156.03516036623958,\n 19.686419593600434\n ],\n [\n -156.0305731643826,\n 19.686419593600434\n ],\n [\n -156.0305731643826,\n 19.68986132494203\n ],\n [\n -156.03516036623958,\n 19.68986132494203\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2024-07-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Grabowski, Timothy B. 0000-0001-9763-8948 tgrabowski@usgs.gov","orcid":"https://orcid.org/0000-0001-9763-8948","contributorId":4178,"corporation":false,"usgs":true,"family":"Grabowski","given":"Timothy","email":"tgrabowski@usgs.gov","middleInitial":"B.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":947091,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tabandera, Ricky","contributorId":360473,"corporation":false,"usgs":false,"family":"Tabandera","given":"Ricky","affiliations":[{"id":64379,"text":"University of Hawai'i at Hilo","active":true,"usgs":false}],"preferred":false,"id":947092,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Greenwald, Nathaniel","contributorId":360476,"corporation":false,"usgs":false,"family":"Greenwald","given":"Nathaniel","affiliations":[{"id":64379,"text":"University of Hawai'i at Hilo","active":true,"usgs":false}],"preferred":false,"id":947093,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Larson, Annie","contributorId":360479,"corporation":false,"usgs":false,"family":"Larson","given":"Annie","affiliations":[{"id":64379,"text":"University of Hawai'i at Hilo","active":true,"usgs":false}],"preferred":false,"id":947094,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70257836,"text":"70257836 - 2024 - USGS adds 100K Topo scale to OnDemand map products","interactions":[],"lastModifiedDate":"2024-10-24T15:21:44.00328","indexId":"70257836","displayToPublicDate":"2024-07-31T10:19:58","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18355,"text":"GIS Tips & Tricks","active":true,"publicationSubtype":{"id":10}},"title":"USGS adds 100K Topo scale to OnDemand map products","docAbstract":"OnDemand Topo map users now have more map scale options available to them with debut of the 100K Topo or 1:100,000-scale mapping capability within the free topoBuilder application.","language":"English","publisher":"ASPRS","usgsCitation":"Doumbouya, A.T., 2024, USGS adds 100K Topo scale to OnDemand map products: GIS Tips & Tricks, no. July 2024, p. 389-390.","productDescription":"2 p.","startPage":"389","endPage":"390","ipdsId":"IP-164891","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":433239,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.asprs.org/asprs-publications/gis-tips-tricks"},{"id":463156,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"issue":"July 2024","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Doumbouya, Ariel T. 0000-0002-4794-6077 atdoumbouya@usgs.gov","orcid":"https://orcid.org/0000-0002-4794-6077","contributorId":343705,"corporation":false,"usgs":true,"family":"Doumbouya","given":"Ariel","email":"atdoumbouya@usgs.gov","middleInitial":"T.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":911760,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70259309,"text":"70259309 - 2024 - Toward a set of essential biodiversity variables for assessing change in mountains globally","interactions":[],"lastModifiedDate":"2024-10-03T15:23:00.803017","indexId":"70259309","displayToPublicDate":"2024-07-31T10:14:28","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Toward a set of essential biodiversity variables for assessing change in mountains globally","docAbstract":"Mountain regions harbor unique and rich biodiversity, forming an important part of our global life support system. This rich biodiversity underpins the ecological intactness and functioning of mountain ecosystems, which are imperative for the provision of key ecosystem services. A considerable amount of data are required to assess ecological intactness and ecosystem functioning and, given the profound anthropogenic pressures many mountain regions are being subjected to, are urgently needed. However, data on mountain biodiversity remain lacking. The essential biodiversity variables (EBVs) framework can help focus efforts related to detecting, investigating, predicting, and managing global biodiversity change, but has not yet been considered in the context of mountains. Here, we review key biological processes and physical phenomena that strongly influence mountain biodiversity and ecosystems and elucidate their associations with potential mountain EBVs. We identify seven EBVs of highest relevance for tracking and understanding the most critical drivers and responses of mountain biodiversity change. If they are implemented, the selected EBVs will contribute useful information to inform management and policy interventions seeking to halt mountain biodiversity loss and maintain functional mountain ecosystems.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/biosci/biae052","usgsCitation":"Schmeller, D., Thornton, J., Urbach, D., Alexander, J., Jetz, W., Kulonen, A., Mills, R., Notornicola, C., Pallazi, E., Pauli, H., Randin, C., Rosbakh, S., Sayre, R., Tehrani, N., Verbiest, W., Walker, T., Wipf, S., and Adler, C., 2024, Toward a set of essential biodiversity variables for assessing change in mountains globally: BioScience, v. 74, no. 8, p. 539-551, https://doi.org/10.1093/biosci/biae052.","productDescription":"13 p.","startPage":"539","endPage":"551","ipdsId":"IP-161747","costCenters":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"links":[{"id":466973,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1093/biosci/biae052","text":"External 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Elisa","contributorId":344852,"corporation":false,"usgs":false,"family":"Pallazi","given":"Elisa","email":"","affiliations":[{"id":64513,"text":"University of Turin","active":true,"usgs":false}],"preferred":false,"id":914874,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pauli, Harald","contributorId":344853,"corporation":false,"usgs":false,"family":"Pauli","given":"Harald","email":"","affiliations":[{"id":82428,"text":"Austrian Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":914875,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Randin, Christophe","contributorId":344854,"corporation":false,"usgs":false,"family":"Randin","given":"Christophe","email":"","affiliations":[{"id":35541,"text":"University of Lausanne","active":true,"usgs":false}],"preferred":false,"id":914876,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Rosbakh, Sergey","contributorId":344855,"corporation":false,"usgs":false,"family":"Rosbakh","given":"Sergey","email":"","affiliations":[{"id":12672,"text":"University of Copenhagen","active":true,"usgs":false}],"preferred":false,"id":914877,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sayre, Roger 0000-0001-6703-7105","orcid":"https://orcid.org/0000-0001-6703-7105","contributorId":245011,"corporation":false,"usgs":true,"family":"Sayre","given":"Roger","affiliations":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"preferred":true,"id":914878,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Tehrani, Nasrin","contributorId":344856,"corporation":false,"usgs":false,"family":"Tehrani","given":"Nasrin","email":"","affiliations":[{"id":35541,"text":"University of Lausanne","active":true,"usgs":false}],"preferred":false,"id":914879,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Verbiest, William","contributorId":344857,"corporation":false,"usgs":false,"family":"Verbiest","given":"William","email":"","affiliations":[{"id":27567,"text":"Ghent University","active":true,"usgs":false}],"preferred":false,"id":914880,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Walker, Tom","contributorId":344858,"corporation":false,"usgs":false,"family":"Walker","given":"Tom","email":"","affiliations":[{"id":49105,"text":"University of Neuchatel","active":true,"usgs":false}],"preferred":false,"id":914881,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Wipf, Sonja","contributorId":344859,"corporation":false,"usgs":false,"family":"Wipf","given":"Sonja","email":"","affiliations":[{"id":82429,"text":"Institute for Snow and Avalanche Research","active":true,"usgs":false}],"preferred":false,"id":914882,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Adler, Carolina","contributorId":344860,"corporation":false,"usgs":false,"family":"Adler","given":"Carolina","affiliations":[{"id":82424,"text":"Mountain Research Initiative, University of Bern","active":true,"usgs":false}],"preferred":false,"id":914883,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70257532,"text":"70257532 - 2024 - Effective field sampling of rectoanal mucosa-associated lymphoid tissue for antemortem chronic wasting disease testing in white-tailed deer","interactions":[],"lastModifiedDate":"2024-10-23T16:11:20.46215","indexId":"70257532","displayToPublicDate":"2024-07-31T10:12:50","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Effective field sampling of rectoanal mucosa-associated lymphoid tissue for antemortem chronic wasting disease testing in white-tailed deer","docAbstract":"Chronic wasting disease (CWD) is a fatal prion disease of cervids that has spread across much of North America. Although gold standard CWD diagnostics involve postmortem testing of medial retropharyngeal lymph nodes or obex (brain stem), a key tissue sample for antemortem testing is rectoanal mucosa–associated lymphoid tissue (RAMALT). However, collection of an adequate sample (i.e., enough lymphoid follicles) may be affected by factors such as deer age, repeated sampling, skill of the sampler, and adverse conditions during collection. Here, we document the protocol used to train personnel for RAMALT collection in a large study of free-ranging white-tailed deer (Odocoileus virginianus) in Wisconsin, USA, and determine factors that contributed to the occurrence of inadequate RAMALT samples. Our training protocol included hands-on experience with postmortem tissues, as well as a mentored collection process in the field. Collection of RAMALT under field conditions was highly successful, with 763/806 (94.7%) samples deemed adequate for subsequent testing. Although inadequate samples were rare, they were more likely to occur with older deer and when samples were collected at dusk (i.e., limited ambient lighting). We conclude that RAMALT collection can be highly successful under adverse field conditions, including with technicians with limited prior veterinary experience, and we provide details of our training program to facilitate repeatability in other antemortem CWD testing efforts.
","language":"English","publisher":"Allen Press","doi":"10.7589/jwd-d-24-00020","usgsCitation":"Gilbertson, M., Long, L.J., Inzalaco, H.N., Turner, W.C., and Storm, D.J., 2024, Effective field sampling of rectoanal mucosa-associated lymphoid tissue for antemortem chronic wasting disease testing in white-tailed deer: Journal of Wildlife Diseases, v. 60, no. 4, p. 996-1003, https://doi.org/10.7589/jwd-d-24-00020.","productDescription":"8 p.","startPage":"996","endPage":"1003","ipdsId":"IP-162799","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":433665,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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J.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":910641,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, Lindsey J.","contributorId":343139,"corporation":false,"usgs":false,"family":"Long","given":"Lindsey","email":"","middleInitial":"J.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":910642,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Inzalaco, Heather N.","contributorId":343142,"corporation":false,"usgs":false,"family":"Inzalaco","given":"Heather","email":"","middleInitial":"N.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":910643,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Turner, Wendy Christine 0000-0002-0302-1646","orcid":"https://orcid.org/0000-0002-0302-1646","contributorId":287053,"corporation":false,"usgs":true,"family":"Turner","given":"Wendy","email":"","middleInitial":"Christine","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":910644,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Storm, Daniel J.","contributorId":343147,"corporation":false,"usgs":false,"family":"Storm","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":910645,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70256788,"text":"70256788 - 2024 - Low-flow period seasonality, trends, and climate linkages across the United States","interactions":[],"lastModifiedDate":"2024-08-13T14:41:37.568761","indexId":"70256788","displayToPublicDate":"2024-07-31T09:46:07","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":"Low-flow period seasonality, trends, and climate linkages across the United States","docAbstract":"Low-flow period properties, including timing, magnitude, and duration, influence many key processes for water resource managers and ecosystems. We computed annual low-flow period duration and timing metrics from 1951 to 2020 for 1032 conterminous United States (CONUS) streamgages and analyzed spatial patterns, trends through time, and relationships to climate. Results show northwestern and eastern CONUS streamgages had longer and more inter-annually consistent low-flow period durations, while central CONUS periods were shorter and more variable. Low-flow periods most often occurred in summer months but start and end dates occurred later in north-central and mountainous western CONUS, which have the greatest number of low flows during cold seasons. Low-flow periods are becoming longer in southeastern and northwestern CONUS but shorter in much of the rest of CONUS. Temperature was correlated with low-flow period duration in southeastern and northwestern CONUS, and precipitation was correlated with duration everywhere, but most strongly in eastern CONUS.
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megafire","interactions":[],"lastModifiedDate":"2025-07-10T14:01:02.446404","indexId":"70268897","displayToPublicDate":"2024-07-31T08:53:35","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Movement behavior in a dominant ungulate underlies successful adjustment to a rapidly changing landscape following megafire","docAbstract":"Movement plays a key role in allowing animal species to adapt to sudden environmental shifts. Anthropogenic climate and land use change have accelerated the frequency of some of these extreme disturbances, including megafire. These megafires dramatically alter ecosystems and challenge the capacity of several species to adjust to a rapidly changing landscape. Ungulates and their movement behaviors play a central role in the ecosystem functions of fire-prone ecosystems around the world. Previous work has shown behavioral plasticity is an important mechanism underlying whether large ungulates are able to adjust to recent changes in their environments effectively. Ungulates may respond to the immediate effects of megafire by adjusting their movement and behavior, but how these responses persist or change over time following disturbance is poorly understood.
We examined how an ecologically dominant ungulate with strong site fidelity, Columbian black-tailed deer (Odocoileus hemionus columbianus), adjusted its movement and behavior in response to an altered landscape following a megafire. To do so, we collected GPS data from 21 individual female deer over the course of a year to compare changes in home range size over time and used resource selection functions (RSFs) and hidden Markov movement models (HMMs) to assess changes in behavior and habitat selection.
We found compelling evidence of adaptive capacity across individual deer in response to megafire. Deer avoided exposed and severely burned areas that lack forage and could be riskier for predation immediately following megafire, but they later altered these behaviors to select areas that burned at higher severities, potentially to take advantage of enhanced forage.
These results suggest that despite their high site fidelity, deer can navigate altered landscapes to track rapid shifts in encounter risk with predators and resource availability. This successful adjustment of movement and behavior following extreme disturbance could help facilitate resilience at broader ecological scales.
","language":"English","publisher":"BMC","doi":"10.1186/s40462-024-00488-4","usgsCitation":"Calhoun, K., Connor, T., Gaynor, K., Van Scoyoc, A., Mcinturff, M.C., Kreling, S., and Brashares, J., 2024, Movement behavior in a dominant ungulate underlies successful adjustment to a rapidly changing landscape following megafire: Movement Ecology, v. 12, 53, 15 p., https://doi.org/10.1186/s40462-024-00488-4.","productDescription":"53, 15 p.","ipdsId":"IP-147496","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":492091,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-024-00488-4","text":"Publisher Index Page"},{"id":492008,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Mendocino County","otherGeospatial":"Hopland Research and Extension Center","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.19199932451019,\n 39.34410383705571\n ],\n [\n -123.19199932451019,\n 38.95674957822277\n ],\n [\n -122.6413335916133,\n 38.95674957822277\n ],\n [\n -122.6413335916133,\n 39.34410383705571\n ],\n [\n -123.19199932451019,\n 39.34410383705571\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2024-07-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Calhoun, Kendall L.","contributorId":357766,"corporation":false,"usgs":false,"family":"Calhoun","given":"Kendall L.","affiliations":[{"id":13243,"text":"University of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":942541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connor, Thomas","contributorId":357767,"corporation":false,"usgs":false,"family":"Connor","given":"Thomas","affiliations":[{"id":13243,"text":"University of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":942542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gaynor, Kaitlyn M.","contributorId":357768,"corporation":false,"usgs":false,"family":"Gaynor","given":"Kaitlyn M.","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":942543,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van Scoyoc, Amy","contributorId":357769,"corporation":false,"usgs":false,"family":"Van Scoyoc","given":"Amy","affiliations":[{"id":13243,"text":"University of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":942544,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mcinturff, Michael C 0000-0002-4858-1292","orcid":"https://orcid.org/0000-0002-4858-1292","contributorId":337290,"corporation":false,"usgs":true,"family":"Mcinturff","given":"Michael","email":"","middleInitial":"C","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":942545,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kreling, Samantha E.S.","contributorId":357770,"corporation":false,"usgs":false,"family":"Kreling","given":"Samantha E.S.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":942546,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brashares, Justin S.","contributorId":357771,"corporation":false,"usgs":false,"family":"Brashares","given":"Justin S.","affiliations":[{"id":13243,"text":"University of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":942547,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70257022,"text":"70257022 - 2024 - Forecasting inundation of catastrophic landslides from precursory creep","interactions":[],"lastModifiedDate":"2024-08-07T11:48:20.121781","indexId":"70257022","displayToPublicDate":"2024-07-31T06:47:46","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Forecasting inundation of catastrophic landslides from precursory creep","docAbstract":"Forecasting landslide inundation upon catastrophic failure is crucial for reducing casualties, yet it remains a long-standing challenge owing to the complex nature of landslides. Recent global studies indicate that catastrophic hillslope failures are commonly preceded by a period of precursory creep, motivating a novel scheme to foresee their hazard. Here, we showcase an approach to hindcast landslide inundation by linking satellite-captured precursory displacements to modeling of consequent granular-fluid flows. We present its application to the 2021 Chunchi, Ecuador landslide, which failed catastrophically and evolved into a mobile debris flow after four months of precursory creep, destroying 68 homes along its lengthy flow path. Underpinned by uncertainty quantification and in situ validations, we highlight the feasibility and potential of forecasting landslide inundation damage using observable precursors. This forecast approach is broadly applicable for flow hazards initiated from geomaterial failures.
Background
Unfettered movement among habitats is crucial for fish to access patchily distributed resources and complete their life cycle, but many riverscapes in the American Southwest are fragmented by dams. The federally endangered Rio Grande silvery minnow (Hybognathus amarus, RGSM) persists in a fragmented remnant of its former range (ca. 95% range reduction), and its movement ecology is understudied.
Methods
We tracked movements of hatchery-reared RGSM, tagged with passive integrated transponder tags, using stationary and mobile antennas from 2019–2022. We quantified probability of movement and total distance moved by RGSM released above and below a dam. We then assessed how well two prevailing riverine movement theories (i.e., restricted movement paradigm [RMP] and colonization cycle hypothesis [CCH]) explained RGSM movement patterns.
Results
We detected 36.8% of released RGSM (n = 37,215) making at least one movement. Movements were leptokurtic and substantially greater than expected based on the RMP for both stationary (1.7–5.9 m) and mobile (30.3–77.8 m) individuals. On average, RGSM were detected at large for 75 days and moved a total of 12.2 rkm within a year. The maximum total distance moved by RGSM was 103 rkm. Similarly, we observed a multimodal distribution of detected range sizes with a mean detected range of 2.4 rkm and a maximum detected range of 78.2 rkm. We found little support for an upstream movement bias, as expected under the CCH, and most movements (74%) were directed downstream.
Conclusions
Our data suggest RGSM are highly mobile, with the ability to make long-distance movements. Neither movement theory adequately described movement patterns of RGSM; instead, our findings support a nomadic movement pattern and an apparent drift paradox matching recent studies of other pelagic-broadcast spawning minnows who persist upstream despite experiencing downstream drift as larvae. Resolution of the drift paradox may be achieved through further, targeted studies into different aspects of the species’ life history. Quantification of RGSM movement provides crucial insights into the species’ movement ecology and may help define the appropriate scale of recovery efforts.
","language":"English","publisher":"Springer Nature","doi":"10.1186/s40462-024-00490-w","usgsCitation":"Chavez, M., Budy, P., Pennock, C., Archdeacon, T., and MacKinnon, P., 2024, Movement patterns of a small-bodied minnow suggest nomadism in a fragmented, desert river: Movement Ecology, v. 12, no. 1, 52, 16 p., https://doi.org/10.1186/s40462-024-00490-w.","productDescription":"52, 16 p.","ipdsId":"IP-160669","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":488398,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-024-00490-w","text":"Publisher Index Page"},{"id":485717,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Rio Grande Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -107.31501922274943,\n 35.106549536841754\n ],\n [\n -107.31501922274943,\n 33.32320923069706\n ],\n [\n -106.3385899856597,\n 33.32320923069706\n ],\n [\n -106.3385899856597,\n 35.106549536841754\n ],\n [\n -107.31501922274943,\n 35.106549536841754\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"12","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-07-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Chavez, Martinique J.","contributorId":354893,"corporation":false,"usgs":false,"family":"Chavez","given":"Martinique J.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":936630,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Budy, Phaedra E. 0000-0002-9918-1678","orcid":"https://orcid.org/0000-0002-9918-1678","contributorId":228930,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":936632,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pennock, Casey A.","contributorId":354894,"corporation":false,"usgs":false,"family":"Pennock","given":"Casey A.","affiliations":[{"id":18155,"text":"The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":936631,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Archdeacon, Thomas P.","contributorId":354895,"corporation":false,"usgs":false,"family":"Archdeacon","given":"Thomas P.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":936633,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"MacKinnon, Peter D.","contributorId":354897,"corporation":false,"usgs":false,"family":"MacKinnon","given":"Peter D.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":936634,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70255733,"text":"ofr20241028 - 2024 - Quantitative risk of earthquake disruption to global copper and rhenium supply","interactions":[],"lastModifiedDate":"2026-01-29T19:43:09.273755","indexId":"ofr20241028","displayToPublicDate":"2024-07-30T13:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1028","displayTitle":"Quantitative Risk of Earthquake Disruption to Global Copper and Rhenium Supply","title":"Quantitative risk of earthquake disruption to global copper and rhenium supply","docAbstract":"Earthquakes have the potential to substantially affect mining operations, potentially leading to supply chain disruptions and adversely affecting the global economy. This study explores the quantification of earthquake risk to copper and rhenium commodity supply by examining the spatial concentration of high earthquake hazard areas and the commodity-specific mining, smelting, and refining operations across the globe. Because many of the largest facilities are concentrated geographically near the highly seismic regions of South America, East Asia, and the Pacific, there is a potential for cascading effects on the entire supply chain. The analysis indicates that the expected annual disruption of global production is 0.3–1.1 percent for copper mines, 1.8–4.0 percent for smelters, and 1.5–3.3 percent for refineries. Expected annual disruption of global rhenium production capacity is 0.32–1.32 percent. The research highlights that the potential lost revenue from earthquake disruptions is from $315 million to $1.29 billion for copper mining, $1.92 billion to $4.33 billion for copper smelting, $2.06 billion to $4.52 billion for copper refining, and $337,000 to $1.40 million for rhenium production capacity.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241028","programNote":"Earthquake Hazards Program and Mineral Resources Program","usgsCitation":"Jaiswal, K.S., Luco, N., Schnebele, E.K., Nassar, N.T., and Otarod, D., 2024, Quantitative risk of earthquake disruption to global copper and rhenium supply: U.S. Geological Survey Open-File Report 2024–1028, 19 p., https://doi.org/10.3133/ofr20241028.","productDescription":"iv, 19 p.","onlineOnly":"Y","ipdsId":"IP-155335","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true},{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":499250,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117153.htm","linkFileType":{"id":5,"text":"html"}},{"id":431677,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241028/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2024-1028"},{"id":431623,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1028/ofr20241028.xml"},{"id":431622,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1028/images"},{"id":430730,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1028/coverthb.jpg"},{"id":430732,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1028/ofr20241028.pdf","text":"Report","size":"17.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024-1028"}],"contact":"Director, Geologic Hazards Science Center
U.S. Geological Survey
Box 25046, Mail Stop 966
Denver, CO 80225
The annual maximum extent of surface water in Klamath Marsh has naturally fluctuated in response to periods of wet and dry conditions in the surrounding basin. Field observations during the 2010s indicate that the annual maximum extent of surface water has been declining and the marsh is not responding to hydrologic inputs as it had historically. This report describes the results of a hydrologic evaluation of Klamath Marsh to characterize and understand multi-year declines in the surface-water extent and increased intermittency of streamflow exiting the marsh.
Landsat imagery collected during 1985–2021 was processed to create a time series of annual maximum surface-water extent to assess changes in surface-water inundation within the marsh. A 50-percent decrease in the mean surface area of annual total open-water extent (TOWE) during the latter half of the study period (2003–21) compared to the first half (1985–2003) was observed in this 37-year time-series dataset. The change in open-water extent was offset by a corresponding increase in dry land in the marsh.
Time series of streamflow, groundwater level, total annual precipitation, annual mean temperature, and anthropogenic water use and water management were compiled and evaluated to improve understanding of the factors affecting TOWE. Statistically significant downward trends in the regional groundwater table and streamflow into and out of the marsh were identified as well as statistically significant upward trends in annual mean temperature. Statistically significant correlations among TOWE, streamflow, and groundwater level also were identified. The decreasing trends could not be attributed to changes in total annual precipitation or changing anthropogenic groundwater use within the study area.
Declines in the open-water extent of Klamath Marsh since 2000 principally are due to a decoupling of the groundwater and surface-water system beneath the marsh because of regional declines in groundwater level. Regional increases in air temperature and the reestablishment of more than 55,000 acres of forested land within the study area have likely contributed to increasing evapotranspiration, leaving less water available for groundwater recharge and stream base flow and resulting in basin-wide declines in streamflow and groundwater levels.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245033","collaboration":"Prepared in cooperation with the Klamath Tribes","usgsCitation":"Kennedy, J.J., Johnson, H.M., Gingerich, S.B., 2024, Assessment of long-term changes in surface-water extent within Klamath Marsh, south-central Oregon, 1985–2021: U.S. Geological Survey Scientific Investigations Report 2024–5033, 32 p., https://doi.org/10.3133/sir20245033.","productDescription":"Report: ix, 32 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-153514","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":499460,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117151.htm","linkFileType":{"id":5,"text":"html"}},{"id":431674,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5033/sir20245033.XML"},{"id":431673,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5033/images"},{"id":431672,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RC7RJM","text":"USGS data release","description":"USGS data release","linkHelpText":"Klamath Marsh January through June maximum surface water extent, 1985–2021"},{"id":431671,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245033/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5033"},{"id":431670,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5033/sir20245033.pdf","text":"Report","size":"6.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5033"},{"id":431669,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5033/sir20245033.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.27115315992094,\n 43.15707158138778\n ],\n [\n -122.27115315992094,\n 42.30\n ],\n [\n -121.15,\n 42.30\n ],\n [\n -121.15,\n 43.15707158138778\n ],\n [\n -122.27115315992094,\n 43.15707158138778\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Oregon Water Science Center
U.S. Geological Survey
601 SW 2nd Avenue, Suite 1950
Portland, OR 97204
The increasing frequency and severity of wildfires are among the most visible impacts of climate change. However, the effects of wildfires on mercury (Hg) transformations and bioaccumulation in stream ecosystems are poorly understood. We sampled soils, water, sediment, in-stream leaf litter, periphyton, and aquatic invertebrates in 36 burned (one-year post fire) and 21 reference headwater streams across the northwestern U.S. to evaluate the effects of wildfire occurrence and severity on total Hg (THg) and methylmercury (MeHg) transport and bioaccumulation. Suspended particulate THg and MeHg concentrations were 89 and 178% greater in burned watersheds compared to unburned watersheds and increased with burn severity, likely associated with increased soil erosion. Concentrations of filter-passing THg were similar in burned and unburned watersheds, but filter-passing MeHg was 51% greater in burned watersheds, and suspended particles in burned watersheds were enriched in MeHg but not THg, suggesting higher MeHg production in burned watersheds. Among invertebrates, MeHg in grazers, filter-feeders, and collectors was 33, 48, and 251% greater in burned watersheds, respectively, but did not differ in shredders or predators. Thus, increasing wildfire frequency and severity may yield increased MeHg production, mobilization, and bioaccumulation in headwaters and increased transport of particulate THg and MeHg to downstream environments.
","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.4c00789","usgsCitation":"Baldwin, A.K., Willacker, J., Johnson, B.L., Janssen, S., and Eagles-Smith, C., 2024, Wildfires influence mercury transport, methylation, and bioaccumulation in headwater streams of the Pacific Northwest: Environmental Science & Technology, v. 58, no. 32, p. 14396-14409, https://doi.org/10.1021/acs.est.4c00789.","productDescription":"14 p.","startPage":"14396","endPage":"14409","ipdsId":"IP-155658","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":439240,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.4c00789","text":"Publisher Index Page"},{"id":434921,"rank":2,"type":{"id":30,"text":"Data 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\"}}]}","volume":"58","issue":"32","noUsgsAuthors":false,"publicationDate":"2024-07-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Baldwin, Austin K. 0000-0002-6027-3823 akbaldwi@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3823","contributorId":4515,"corporation":false,"usgs":true,"family":"Baldwin","given":"Austin","email":"akbaldwi@usgs.gov","middleInitial":"K.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Willacker, James 0000-0002-6286-5224","orcid":"https://orcid.org/0000-0002-6286-5224","contributorId":207883,"corporation":false,"usgs":true,"family":"Willacker","given":"James","email":"","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":909118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Branden L. 0000-0002-8018-6452 branden_johnson@usgs.gov","orcid":"https://orcid.org/0000-0002-8018-6452","contributorId":257446,"corporation":false,"usgs":true,"family":"Johnson","given":"Branden","email":"branden_johnson@usgs.gov","middleInitial":"L.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":909119,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Janssen, Sarah E. 0000-0003-4432-3154","orcid":"https://orcid.org/0000-0003-4432-3154","contributorId":210991,"corporation":false,"usgs":true,"family":"Janssen","given":"Sarah E.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909120,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":221745,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":909121,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70271417,"text":"70271417 - 2024 - The LTAR Grazing Land Common Experiment at the Jornada Experimental Range: Old genetics, new precision technologies, and adaptive value chains","interactions":[],"lastModifiedDate":"2025-09-12T15:49:05.649793","indexId":"70271417","displayToPublicDate":"2024-07-30T10:38:36","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"The LTAR Grazing Land Common Experiment at the Jornada Experimental Range: Old genetics, new precision technologies, and adaptive value chains","docAbstract":"Rangelands and the supply chains connected to them are central to the agrifood systems of the Southwestern United States. Local ranchers are simultaneously arid lands managers, herd managers, and marketing managers. To stay in business, they must constantly adapt to unpredictable forage resources and markets while conserving soils and vegetation resources for the long term. As climate warming and drying exacerbate the complexity and difficulty of day-to-day production, producers and policy-makers are seeking alternatives to “business as usual”. To meet this need, the LTAR-Jornada team has developed a package of strategies to help producers adapt to the local and inter-regional challenges. The package includes heritage cattle, precision ranching systems, and adaptive value chains. Five ranches across the Southwest have adopted different combinations of the strategies and are partnering to measure their benefits and drawbacks in real-world conditions. Opportunities for controlled experimentation differ among the ranches, so we use LTAR’s indicator system to assess and compare results. Even as we invest in co-producing knowledge about these three strategies, we recognize that progressive aridification and urbanization of Southwestern rangelands create challenges for which a single “silver bullet” agricultural innovation is unlikely to provide durable solutions. We are learning from our customers and stakeholders about ways to adjust the development of new options.","language":"English","publisher":"Wiley","doi":"10.1002/jeq2.20605","usgsCitation":"Spiegal, S., Estell, R., Cibils, A.F., Cox, A., McIntosh, M.M., Browning, D.M., Duniway, M.C., Funk, M., Macon, L., McCord, S.E., Redd, M., Tolle, C., Utsumi, S.A., Walker, J., Webb, N.P., and Bestelmeyer, B.T., 2024, The LTAR Grazing Land Common Experiment at the Jornada Experimental Range: Old genetics, new precision technologies, and adaptive value chains: Journal of Environmental Quality, v. 63, no. 6, p. 880-892, https://doi.org/10.1002/jeq2.20605.","productDescription":"13 p.","startPage":"880","endPage":"892","ipdsId":"IP-163847","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":495726,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jeq2.20605","text":"Publisher Index 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Re-evaluating Marine Isotope Stage 5a paleo-sea-level trends from across the Florida Keys reef tract","interactions":[],"lastModifiedDate":"2024-10-04T14:29:30.770237","indexId":"70259319","displayToPublicDate":"2024-07-30T09:23:37","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7169,"text":"Quaternary Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Re-evaluating Marine Isotope Stage 5a paleo-sea-level trends from across the Florida Keys reef tract","docAbstract":"Unraveling how Global Mean Sea Level (GMSL) fluctuated during past warm periods can improve our understanding of linkages between sea-level fluctuations, orbital forcing, and ice-sheet dynamics. Current estimates of GMSL for Marine Isotope Stages (MIS) 5a and 5c — two warm intervals following the relatively well-documented MIS 5e — contain meters of uncertainty and fewer data due to several challenges. These challenges include concealment of datable in-situ coral facies by MIS 1 deposits and inaccessibility due to submergence by modern sea level. We present a comprehensive dataset based on U–Th dating and stratigraphic correlation of 23 cores totaling over 170 m of recovered coral-reef deposits across the tectonically stable Florida Keys Reef Tract (FKRT). Following detailed facies descriptions, 34 in-situ, minimally altered aragonitic coral samples (≤2.7% calcite) below the Holocene-Pleistocene boundary were targeted for U–Th geochronology. Fourteen closed-system coral U–Th ages from MIS 5a include the commonly used sea-level indicator Acropora palmata, but also the massive coral taxa Pseudodiploria strigosa, Siderastrea siderea, Orbicella spp., and Porites astreoides. Dating yielded ages in the range of 88–81 ka (average 2σ uncertainty of less than 200 years). These ages suggest MIS 5a reef initiation at ∼88 ka BP, a peak near 83 ka with minimum elevations between −6.0 ± 0.5 and −5.6 ± 0.5 m MSL (2σ uncertainty and subsidence-corrected), and reef termination and sea-level fall by ∼81 ka BP. Notably, the range of peak MIS 5a relative sea-level estimates of −6.5 to −5.1 m MSL are more than 2 m shallower (higher) than previous estimates of −11 to −9 m. Our higher resolution regional sea-level reconstruction across four subregions of the Florida Keys reef tract aligns with changes in July insolation at 65° N: a trend that most other records, such as deep-sea sediments, do not have the accuracy and precision to resolve. Three massive coral samples from MIS 5c, consisting of Pseudodiploria clivosa, and Orbicella spp., yielded ages in the range of 104 to 99 ka (average 2σ uncertainty less than 200 years); however, because only one sample met the closed-system criteria, our ability to estimate MIS 5c sea level is relatively limited. More empirical estimates of sea-level from the MIS 5a and MIS 5c intervals based on numerical dating of reliable local sea-level constraints are critical for GMSL calculations and relating changes in sea-level amplitude and timing to global ice volume modeling and glacio-isostatic effects, all of which can improve predictions of future sea-level changes in coastal regions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.qsa.2024.100222","usgsCitation":"Hsia, S., Toth, L., Mortlock, R.A., and Kerans, C., 2024, Re-evaluating Marine Isotope Stage 5a paleo-sea-level trends from across the Florida Keys reef tract: Quaternary Science Advances, v. 15, 100222, 17 p., https://doi.org/10.1016/j.qsa.2024.100222.","productDescription":"100222, 17 p.","ipdsId":"IP-166304","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":466974,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.qsa.2024.100222","text":"Publisher Index Page"},{"id":462598,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Florida Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -79.23876328908999,\n 26.097759348420453\n ],\n [\n -83.46117316122947,\n 26.097759348420453\n ],\n [\n -83.46117316122947,\n 24.102407845404713\n ],\n [\n -79.23876328908999,\n 24.102407845404713\n ],\n [\n -79.23876328908999,\n 26.097759348420453\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hsia, Scarlette 0000-0002-2230-9004","orcid":"https://orcid.org/0000-0002-2230-9004","contributorId":339740,"corporation":false,"usgs":false,"family":"Hsia","given":"Scarlette","email":"","affiliations":[{"id":39890,"text":"University of Texas at Austin, Jackson School of Geosciences","active":true,"usgs":false}],"preferred":false,"id":914916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Toth, Lauren T. 0000-0002-2568-802X ltoth@usgs.gov","orcid":"https://orcid.org/0000-0002-2568-802X","contributorId":181748,"corporation":false,"usgs":true,"family":"Toth","given":"Lauren","email":"ltoth@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":914917,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mortlock, Richard A.","contributorId":299718,"corporation":false,"usgs":false,"family":"Mortlock","given":"Richard","email":"","middleInitial":"A.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":914918,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kerans, Charles","contributorId":75838,"corporation":false,"usgs":false,"family":"Kerans","given":"Charles","email":"","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":914919,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70268350,"text":"70268350 - 2024 - Vulnerability of mineral-associated soil organic carbon to climate across global drylands","interactions":[],"lastModifiedDate":"2025-06-23T13:58:48.248676","indexId":"70268350","displayToPublicDate":"2024-07-30T08:43:22","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"title":"Vulnerability of mineral-associated soil organic carbon to climate across global drylands","docAbstract":"Mineral-associated organic carbon (MAOC) constitutes a major fraction of global soil carbon and is assumed less sensitive to climate than particulate organic carbon (POC) due to protection by minerals. Despite its importance for long-term carbon storage, the response of MAOC to changing climates in drylands, which cover more than 40% of the global land area, remains unexplored. Here we assess topsoil organic carbon fractions across global drylands using a standardized field survey in 326 plots from 25 countries and 6 continents. We find that soil biogeochemistry explained the majority of variation in both MAOC and POC. Both carbon fractions decreased with increases in mean annual temperature and reductions in precipitation, with MAOC responding similarly to POC. Therefore, our results suggest that ongoing climate warming and aridification may result in unforeseen carbon losses across global drylands, and that the protective role of minerals may not dampen these effects.
","language":"English","publisher":"Nature","doi":"10.1038/s41558-024-02087-y","usgsCitation":"Paloma, D., Maestre, F.T., Moreno-Jimenez, E., Delgado-Baquerizo, M., Eldridge, D.J., Saiz, H., Gross, N., Le Bagousse-Pinguet, Y., Gozalo, B., Ochoa, V., Guirado, E., García-Gómez, M., Valencia, E., Asensio, S., Berdugo, M., Martinez-Valderrama, J., Mendoza, B.J., García-Gil, J., Zaccone, C., Panettieri, M., García-Palacios, P., Fan, W., Benavente-Ferraces, I., Rey, A., Eisenhauer, N., Cesarz, S., Abedi, M., Ahumada, R.J., Alcantara, J.M., Amghar, F., Aramayo, V., Arroyo, A.I., Bahalkeh, K., Salem, F.B., Blaum, N., Boldgiv, B., Bowker, M., Bran, D., Branquinho, C., Bu, C., Cáceres, Y., Canessa, R., Castillo-Monroy, A.P., Castro, I., Castro-Quezada, P., Chibani, R., Conceição, A., Currier, C.M., Darrouzet-Nardi, A., Deak, B., Dickman, C., Donoso, D.A., Dougill, A.J., Duran, J., Ejtehadi, H., Espinosa, C., Fajardo, A., Farzam, M., Ferrante, D., Fraser, L.H., Gaitan, J.J., Gusman Montalván, E., Hernández-Hernández, R., von Hessberg, A., Holzel, N., Huber-Sannwald, E., Hughes, F., Jadan-Maza, O., Geissler, K., Jentsch, A., Ju, M., Kaseke, K.F., Kindermann, L., Koopman, J.E., le Roux, P.C., Liancourt, P., Linstadter, A., Liu, J., Louw, M.A., Maggs-Kolling, G., Makhalanyane, T.P., Issa, O.M., Marais, E., Margerie, P., Mazaneda, A., McClaran, M., Messeder, J.V., Mora, J.P., Moreno, G., Munson, S.M., Nunes, A., Oliva, G., Oñatibia, G., Osborne, B., Peter, G., Pueyo, Y., Quiroga, R., Reed, S., Reyes, V., Rodriguez, A., Ruppert, J., Sala, O.E., Salah, A., Sebei, J., Sloan, M., Solongo, S., Stavi, I., Stephens, C., Teixido, A.L., Thomas, A.D., Throop, H.L., Tielborger, K., Travers, S.K., Val, J., Valko, O., van den Brink, L., Velbert, F., Wamiti, W., Wang, D., Wang, L., Wardle, G., Yahdjian, L., Zaady, E., Zeberio, J., Zhang, Y., Zhou, X., and Plaza, C., 2024, Vulnerability of mineral-associated soil organic carbon to climate across global drylands: Nature Climate Change, v. 14, p. 976-982, https://doi.org/10.1038/s41558-024-02087-y.","productDescription":"7 p.","startPage":"976","endPage":"982","ipdsId":"IP-166550","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":491452,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.science/hal-04735409","text":"External Repository"},{"id":491093,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","noUsgsAuthors":false,"publicationDate":"2024-07-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Paloma, Díaz-Martínez","contributorId":357252,"corporation":false,"usgs":false,"family":"Paloma","given":"Díaz-Martínez","affiliations":[{"id":85373,"text":"Instituto de Ciencias Agrarias (ICA), CSIC, Madrid, Spain","active":true,"usgs":false}],"preferred":false,"id":940910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maestre, 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Measurements of gross primary production (GPP), respiration (R), and net ecosystem production (NEP) are rare in shallow waterbodies compared to larger and deeper lakes, which can bias our understanding of lentic ecosystem processes. In this study, we calculated GPP, R, and NEP in 26 small, shallow waterbodies across temperate North America and Europe. We observed high rates of GPP (mean 8.4 g O2 m−3 d−1) and R (mean −9.1 g O2 m−3 d−1), while NEP varied from net heterotrophic to autotrophic. Metabolism rates were affected by depth and aquatic vegetation cover, and the shallowest waterbodies had the highest GPP, R, and the most variable NEP. The shallow waterbodies from this study had considerably higher metabolism rates compared to deeper lakes, stressing the importance of these systems as highly productive biogeochemical hotspots.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023GL106689","usgsCitation":"Rabaey, J., Holgerson, M., Richardson, D., Andersen, M., Bansal, S., Bortolotti, L.E., Cotner, J., Hornbach, D., Martinsen, K.T., Moody, E., and Schloegel, O.F., 2024, Freshwater biogeochemical hotspots: High primary production and ecosystem respiration in shallow waterbodies: Geophysical Research Letters, v. 51, no. 15, e2023GL106689, 11 p., https://doi.org/10.1029/2023GL106689.","productDescription":"e2023GL106689, 11 p.","ipdsId":"IP-151249","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":439241,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023gl106689","text":"Publisher Index Page"},{"id":432335,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"15","noUsgsAuthors":false,"publicationDate":"2024-07-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Rabaey, Joseph","contributorId":341941,"corporation":false,"usgs":false,"family":"Rabaey","given":"Joseph","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":909219,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holgerson, Meredith","contributorId":218790,"corporation":false,"usgs":false,"family":"Holgerson","given":"Meredith","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":909220,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richardson, David ","contributorId":223903,"corporation":false,"usgs":false,"family":"Richardson","given":"David ","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":909221,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Andersen, Mikkel R.","contributorId":223161,"corporation":false,"usgs":false,"family":"Andersen","given":"Mikkel R.","affiliations":[],"preferred":false,"id":909222,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bansal, Sheel 0000-0003-1233-1707 sbansal@usgs.gov","orcid":"https://orcid.org/0000-0003-1233-1707","contributorId":167295,"corporation":false,"usgs":true,"family":"Bansal","given":"Sheel","email":"sbansal@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":909223,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bortolotti, Lauren E","contributorId":265772,"corporation":false,"usgs":false,"family":"Bortolotti","given":"Lauren","email":"","middleInitial":"E","affiliations":[{"id":7182,"text":"Ducks Unlimited Canada","active":true,"usgs":false}],"preferred":false,"id":909224,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cotner, James","contributorId":341943,"corporation":false,"usgs":false,"family":"Cotner","given":"James","affiliations":[],"preferred":false,"id":909225,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hornbach, Daniel","contributorId":341945,"corporation":false,"usgs":false,"family":"Hornbach","given":"Daniel","affiliations":[],"preferred":false,"id":909226,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Martinsen, Kenneth T.","contributorId":341952,"corporation":false,"usgs":false,"family":"Martinsen","given":"Kenneth","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":909227,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Moody, Eric","contributorId":341949,"corporation":false,"usgs":false,"family":"Moody","given":"Eric","email":"","affiliations":[],"preferred":false,"id":909228,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Schloegel, Olivia F.","contributorId":341953,"corporation":false,"usgs":false,"family":"Schloegel","given":"Olivia","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":909229,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70257097,"text":"70257097 - 2024 - Modeling rare plant habitat together with public land managers using an iterative, coproduced process to inform decision-making on multiple-use public lands","interactions":[],"lastModifiedDate":"2024-08-13T14:43:37.410358","indexId":"70257097","displayToPublicDate":"2024-07-30T08:21:27","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Modeling rare plant habitat together with public land managers using an iterative, coproduced process to inform decision-making on multiple-use public lands","docAbstract":"Public lands across the United States are managed for multiple uses, resources, and values ranging from energy development to rare plant conservation. Intensified energy development and other land use changes across the Southwestern United States have increased the need for proactive management to mitigate impacts to rare plants. Habitat suitability models can inform decision-making and lead to more effective conservation of rare plants and their habitats, but high-quality models that are suited for use at local scales are lacking for many species. Our team of scientists and managers developed ensembles of habitat suitability models for five rare plant species in New Mexico using a coproduced, iterative framework complemented by comprehensive ground truthing and tailoring of products for use in public land decisions. Our process resulted in substantial differences from initial models through changes to environmental predictors, species occurrence and background data, and development of new species-specific predictors. Involving species experts and end users in model development can strengthen the process and resulting model and build understanding and trust in final products. Both factors can promote use of models to inform public land permitting and planning decisions that may affect rare plants, including by guiding development away from highly suitable habitats.
","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.13179","usgsCitation":"Jarnevich, C.S., Carter, S.K., Davidson, Z.M., MacPhee, N.D., Alexander, P.J., Hayes, B., Belmaric, P.N., and Harms, B., 2024, Modeling rare plant habitat together with public land managers using an iterative, coproduced process to inform decision-making on multiple-use public lands: Conservation Science and Practice, v. 6, no. 8, e13179, 15 p., https://doi.org/10.1111/csp2.13179.","productDescription":"e13179, 15 p.","ipdsId":"IP-158708","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":439242,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.13179","text":"Publisher Index Page"},{"id":432438,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, New Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -108.69579033294093,\n 38.37268084260387\n ],\n [\n -108.69579033294093,\n 35.269919346315746\n ],\n [\n -103.45845941486846,\n 35.269919346315746\n ],\n [\n -103.45845941486846,\n 38.37268084260387\n ],\n [\n -108.69579033294093,\n 38.37268084260387\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"6","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-07-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":909380,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carter, Sarah K. 0000-0003-3778-8615","orcid":"https://orcid.org/0000-0003-3778-8615","contributorId":192418,"corporation":false,"usgs":true,"family":"Carter","given":"Sarah","email":"","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":909381,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davidson, Zoe M. 0000-0003-2043-8598","orcid":"https://orcid.org/0000-0003-2043-8598","contributorId":336894,"corporation":false,"usgs":false,"family":"Davidson","given":"Zoe","email":"","middleInitial":"M.","affiliations":[{"id":80903,"text":"Bureau of Land Management Headquarters","active":true,"usgs":false}],"preferred":false,"id":909382,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"MacPhee, Nicole D.","contributorId":337152,"corporation":false,"usgs":false,"family":"MacPhee","given":"Nicole","email":"","middleInitial":"D.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":909383,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Alexander, Patrick J.","contributorId":337153,"corporation":false,"usgs":false,"family":"Alexander","given":"Patrick","email":"","middleInitial":"J.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":909384,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hayes, Brandon","contributorId":337154,"corporation":false,"usgs":false,"family":"Hayes","given":"Brandon","email":"","affiliations":[{"id":80983,"text":"Student Services Contractor to USGS FORT","active":true,"usgs":false}],"preferred":false,"id":909385,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Belmaric, Pairsa N.","contributorId":337156,"corporation":false,"usgs":false,"family":"Belmaric","given":"Pairsa","email":"","middleInitial":"N.","affiliations":[{"id":80983,"text":"Student Services Contractor to USGS FORT","active":true,"usgs":false}],"preferred":false,"id":909386,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Harms, Benjamin R","contributorId":267283,"corporation":false,"usgs":false,"family":"Harms","given":"Benjamin R","affiliations":[],"preferred":false,"id":909387,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70270775,"text":"70270775 - 2024 - Environmental DNA (eDNA) surveillance of the federally threatened Slender Chub (Erimystax cahni) in the Clinch River and Powell River","interactions":[],"lastModifiedDate":"2025-08-28T14:42:57.760006","indexId":"70270775","displayToPublicDate":"2024-07-29T09:33:19","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"CSS-157-2024","displayTitle":"Environmental DNA (eDNA) surveillance of the federally threatened Slender Chub (Erimystax cahni) in the Clinch River and Powell River","title":"Environmental DNA (eDNA) surveillance of the federally threatened Slender Chub (Erimystax cahni) in the Clinch River and Powell River","docAbstract":"The slender chub (Erimystax cahni) is a federally threatened fish native to and geographically restricted to eastern North America. More specifically, the Powell, Clinch, and lower Holston Rivers in Tennessee were historical collection areas. Habitat degradation from multiple sources, including surface mining, agriculture, dams, and urbanization, is associated with the decline of this species - an obligate inhabitant of gravel shoals in large rivers. As of 1964, only 15 voucher specimens were known and no living specimens were documented for decades. A federal recovery plan and Species Status Assessment were developed to determine if slender chub still exists and could be restored. Given the lack of recent observations using conventional sampling to search for its presence, we used environmental DNA sampling to determine their potential presence. Our specific objectives were to (1) develop a quantitative polymerase chain reaction (qPCR) assay aimed at species-specific detection and (2) sample historically known areas of collection. We sampled 43 sites in the Clinch and Powell Rivers. For the first time in almost two decades, we provide evidence for the continued existence of a putatively extinct species. We detected evidence of E. cahni in both the Clinch and Powell Rivers, but only at a few sites. We cannot confirm the presence of E. cahni, and positive eDNA matches could be attributed to amplification from a hybrid. Our results do indicate slender chub DNA perseveres in the Clinch and Powell Rivers and can inform resource agencies of localities to pursue on-the-ground searches for the slender chub with conventional methods (e.g., snorkeling) and potential restoration and recovery sites.
","language":"English","publisher":"U.S. Fish and Wildlife","doi":"10.3996/css55463605","usgsCitation":"Paine, R.T., Rogers, M.W., and Rosenberger, A.E., 2024, Environmental DNA (eDNA) surveillance of the federally threatened Slender Chub (Erimystax cahni) in the Clinch River and Powell River: Cooperator Science Series CSS-157-2024, ii, 23 p., https://doi.org/10.3996/css55463605.","productDescription":"ii, 23 p.","ipdsId":"IP-156546","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":496395,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.3996/css55463605","text":"Publisher Index Page"},{"id":495000,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee, Virginia","otherGeospatial":"Clinch River, Powell River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.34951874387174,\n 36.84953633730622\n ],\n [\n -84.34254978688318,\n 36.84953633730622\n ],\n [\n -84.34254978688318,\n 35.91039358207085\n ],\n [\n -82.34951874387174,\n 35.91039358207085\n ],\n [\n -82.34951874387174,\n 36.84953633730622\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2024-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Paine, Robert T.R.","contributorId":360425,"corporation":false,"usgs":false,"family":"Paine","given":"Robert","middleInitial":"T.R.","affiliations":[{"id":56209,"text":"Tennessee Tech University","active":true,"usgs":false}],"preferred":false,"id":947047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogers, Mark W. 0000-0001-7205-5623","orcid":"https://orcid.org/0000-0001-7205-5623","contributorId":245525,"corporation":false,"usgs":true,"family":"Rogers","given":"Mark","email":"","middleInitial":"W.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":947048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosenberger, Amanda E. 0000-0002-5520-8349 arosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5520-8349","contributorId":5581,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","email":"arosenberger@usgs.gov","middleInitial":"E.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":947049,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70258336,"text":"70258336 - 2024 - Resilient riverine social–ecological systems: A new paradigm to meet global conservation targets","interactions":[],"lastModifiedDate":"2024-11-04T19:39:44.275519","indexId":"70258336","displayToPublicDate":"2024-07-29T09:30:59","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5067,"text":"WIREs Water","active":true,"publicationSubtype":{"id":10}},"title":"Resilient riverine social–ecological systems: A new paradigm to meet global conservation targets","docAbstract":"The United Nations' Convention on Biological Diversity set forth the 30 × 30 target, an agenda for countries to protect at least 30% of their terrestrial, inland water, and coastal and marine areas by 2030. With <6 years to reach that goal, riverine conservation professionals are faced with the difficult decision of prioritizing which rivers or river segments should be conserved (protected and/or restored). While incorporating resilience into conservation planning is essential for enhancing, restoring, and maintaining the vital riverine ecosystem services (ES) most threatened by climate change and other environmental and human stresses, this paradigm is at odds with traditional conservation approaches that are either opportunistic or reactionary, where only unique and highly visible ecosystems have been prioritized. Barriers to implementing resilience-based riverine conservation planning include: (1) difficulties in conceptualizing and quantifying resilience; (2) insufficient consideration of the social components of riverine systems; (3) the inapplicability of terrestrial-only conservation models to aquatic systems; and (4) the traditional ad hoc and opportunistic approach to conservation. To overcome these barriers, we propose a resilience-based riverine conservation framework that includes: (1) assessing riverine resilience using indicator frameworks; (2) considering rivers as dynamically coupled social–ecological systems; (3) explicitly incorporating terrestrial–aquatic network connectivity into conservation decision-making; and (4) strategic systems planning using a novel resilience–conservation matrix as a tool. This framework has the potential to transform conservation practices around the globe to more effectively protect river systems and enhance their resilience to climate change and human development.
","language":"English","publisher":"Wiley","doi":"10.1002/wat2.1753","usgsCitation":"Perry, D.M., Praskievicz, S.J., McManamay, R., Saxena, A., Grimm, K.C., Zegre, N., Bair, L., Ruddell, B., and Rushforth, R., 2024, Resilient riverine social–ecological systems: A new paradigm to meet global conservation targets: WIREs Water, v. 11, no. 6, e1753, 22 p., https://doi.org/10.1002/wat2.1753.","productDescription":"e1753, 22 p.","ipdsId":"IP-155185","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":439243,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wat2.1753","text":"Publisher Index Page"},{"id":433693,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Perry, Denielle M.","contributorId":215885,"corporation":false,"usgs":false,"family":"Perry","given":"Denielle","email":"","middleInitial":"M.","affiliations":[{"id":39324,"text":"School of Earth and Sustainability, Northern Arizona University, Flagstaff, Arizona 86011, USA","active":true,"usgs":false}],"preferred":false,"id":912928,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Praskievicz, Sarah J. 0000-0002-9380-7625","orcid":"https://orcid.org/0000-0002-9380-7625","contributorId":245989,"corporation":false,"usgs":false,"family":"Praskievicz","given":"Sarah","email":"","middleInitial":"J.","affiliations":[{"id":49396,"text":"University of North Carolina-Greensboro","active":true,"usgs":false}],"preferred":false,"id":912929,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McManamay, Ryan","contributorId":205277,"corporation":false,"usgs":false,"family":"McManamay","given":"Ryan","affiliations":[{"id":37070,"text":"Oak Ridge National Laboratory","active":true,"usgs":false}],"preferred":false,"id":912930,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Saxena, Alark","contributorId":344137,"corporation":false,"usgs":false,"family":"Saxena","given":"Alark","email":"","affiliations":[{"id":82298,"text":"School of Forestry, Northern Arizona University, Flagstaff, AZ 86001","active":true,"usgs":false}],"preferred":false,"id":912931,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grimm, K. C.","contributorId":173997,"corporation":false,"usgs":false,"family":"Grimm","given":"K.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":912932,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zegre, Nicholas","contributorId":344138,"corporation":false,"usgs":false,"family":"Zegre","given":"Nicholas","email":"","affiliations":[{"id":82301,"text":"Forestry & Natural Resources, West Virginia University, Morgantown, WV 25606","active":true,"usgs":false}],"preferred":false,"id":912933,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bair, Lucas 0000-0002-9911-3624","orcid":"https://orcid.org/0000-0002-9911-3624","contributorId":248714,"corporation":false,"usgs":true,"family":"Bair","given":"Lucas","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":912934,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ruddell, Benjamin L.","contributorId":247513,"corporation":false,"usgs":false,"family":"Ruddell","given":"Benjamin L.","affiliations":[{"id":49567,"text":"Northern Arizona University, Professor","active":true,"usgs":false}],"preferred":false,"id":912935,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rushforth, Richard","contributorId":239630,"corporation":false,"usgs":false,"family":"Rushforth","given":"Richard","email":"","affiliations":[],"preferred":false,"id":912936,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70259267,"text":"70259267 - 2024 - Genetic origins of a resurging lake whitefish, Coregonus clupeaformis, population in the Detroit River, Laurentian Great Lakes","interactions":[],"lastModifiedDate":"2024-10-03T14:25:51.587319","indexId":"70259267","displayToPublicDate":"2024-07-29T09:19:31","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17451,"text":"International Journal of Limnology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Genetic origins of a resurging lake whitefish, Coregonus clupeaformis, population in the Detroit River, Laurentian Great Lakes","title":"Genetic origins of a resurging lake whitefish, Coregonus clupeaformis, population in the Detroit River, Laurentian Great Lakes","docAbstract":"The Detroit River connects Lake Huron and Lake Erie of the Laurentian Great Lakes. The river once supported a substantial lake whitefish (Coregonus clupeaformis) fishery until the early 1900s, when habitat loss, pollution, and overfishing contributed to the collapse of the fishery and loss of spawning populations in the river. In the early 1970s, efforts were initiated to improve water and habitat quality, and in December 2005 a spawning male lake whitefish and viable eggs were collected; the first documented evidence of spawning since 1916. Researchers have tracked the spawning magnitude of the lake whitefish population in the Detroit River since 2005 by assessing the number of eggs deposited on egg mats. Genetic analysis of larval fish hatched from eggs collected in the field between 2005 and 2018 was used to determine the relative contributions of Lake Erie and Lake Huron to the resurging population. Over 80% of the hatched larvae had parents originating from Lake Erie in all the years sampled. The estimated number of full-sibling families sampled at Belle Isle was the same in 2010 and 2014 and varied between 2009 and 2016 at Fighting Island. The estimated number of lake whitefish parents at Fighting Island decreased in the most recent collections possibly due to loss of habitat on spawning reefs due to sedimentation. Our results provide additional evidence that restored spawning habitat in the Detroit River is again being used by lake whitefish and continued reproduction at these sites may improve the Great Lakes portfolio of ecological and genetic diversity.
","language":"English","publisher":"EDP Sciences","doi":"10.1051/limn/2024010","usgsCitation":"Stott, W., DeBruyne, R.L., and Roseman, E., 2024, Genetic origins of a resurging lake whitefish, Coregonus clupeaformis, population in the Detroit River, Laurentian Great Lakes: International Journal of Limnology, v. 60, 10, 9 p., https://doi.org/10.1051/limn/2024010.","productDescription":"10, 9 p.","ipdsId":"IP-159761","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":466975,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1051/limn/2024010","text":"Publisher Index Page"},{"id":462537,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Detroit River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.92974379886444,\n 42.320885514763944\n ],\n [\n -82.93150820557078,\n 42.375687701381\n ],\n [\n -83.04803645548763,\n 42.36130091588191\n ],\n [\n -83.05685668569498,\n 42.302604707272366\n ],\n [\n -82.92974379886444,\n 42.320885514763944\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -83.14512855848481,\n 42.281713913516256\n ],\n [\n -83.14512855848481,\n 42.144417203656815\n ],\n [\n -83.08510300477313,\n 42.144417203656815\n ],\n [\n -83.08510300477313,\n 42.281713913516256\n ],\n [\n -83.14512855848481,\n 42.281713913516256\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"60","noUsgsAuthors":false,"publicationDate":"2024-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Stott, Wendylee 0000-0002-5252-4901","orcid":"https://orcid.org/0000-0002-5252-4901","contributorId":242990,"corporation":false,"usgs":false,"family":"Stott","given":"Wendylee","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":914717,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeBruyne, Robin L. 0000-0002-9232-7937 rdebruyne@usgs.gov","orcid":"https://orcid.org/0000-0002-9232-7937","contributorId":4936,"corporation":false,"usgs":true,"family":"DeBruyne","given":"Robin","email":"rdebruyne@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":914718,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roseman, Edward F. 0000-0002-5315-9838","orcid":"https://orcid.org/0000-0002-5315-9838","contributorId":217909,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":914719,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70264785,"text":"70264785 - 2024 - Estimating species-specific U.S. waterfowl harvest","interactions":[],"lastModifiedDate":"2025-03-24T13:55:27.652976","indexId":"70264785","displayToPublicDate":"2024-07-29T08:51:12","publicationYear":"2024","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":19846,"text":"BioRxiv","active":true,"publicationSubtype":{"id":32}},"title":"Estimating species-specific U.S. waterfowl harvest","docAbstract":"The U.S. Fish and Wildlife Service monitors species-specific waterfowl (ducks, seaducks, geese, and brant) harvest through two hunter surveys, one that estimates the total harvest for each waterfowl group, and a second that estimates the species composition of each waterfowl group. Point estimates for species-specific harvest can be computed by multiplying the estimated total harvest by the estimated proportion of the total harvest of each species. However, to date, no uncertainty estimates have been available. Here, we combine these two data sources to provide species-specific harvest estimates at the state and flyway level while characterizing the uncertainty via Bayesian estimation. We take a similar approach to Smith et al. (2022), providing both estimates that treat yearly data as independent and estimates that share information across years via a random walk process. We then discuss the advantages and disadvantages of each approach.
","language":"English","publisher":"bioRxiv","doi":"10.1101/2024.07.27.603620","usgsCitation":"Augustine, B., and Royle, A., 2024, Estimating species-specific U.S. waterfowl harvest: BioRxiv, https://doi.org/10.1101/2024.07.27.603620.","productDescription":"18 p.","ipdsId":"IP-166476","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":488364,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1101/2024.07.27.603620","text":"Publisher Index Page"},{"id":483704,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Augustine, Ben 0000-0001-6935-6361","orcid":"https://orcid.org/0000-0001-6935-6361","contributorId":245736,"corporation":false,"usgs":true,"family":"Augustine","given":"Ben","email":"","affiliations":[{"id":49304,"text":"Department of Natural Resources, Cornell University","active":true,"usgs":false}],"preferred":false,"id":931676,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":931677,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70273437,"text":"70273437 - 2024 - Effect of a dense inflow on the stratification of a steep-side lake","interactions":[],"lastModifiedDate":"2026-01-13T15:03:06.652077","indexId":"70273437","displayToPublicDate":"2024-07-29T07:57:09","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Effect of a dense inflow on the stratification of a steep-side lake","docAbstract":"We detail the effect of a small stream of dense inflow that significantly altered the stratification and water quality in a constructed water body in northern British Columbia, Canada. As the dense inflow passed through the epilimnion of the steep-sided lake, it entrained relatively large quantities of water. The resulting mixture of dense inflow and entrained epilimnetic water sank to the bottom of the lake. The removal of water from the epilimnion due to entrainment reduced the epilimnetic thickness. This opposes the normal process of epilimnetic deepening due to wind and convective cooling. The flux of fluid entrained into the dense inflow was calculated to be between 4 and 14 times the inflow, depending primarily on the thickness of the epilimnion. The entrainment had four major effects: (1) it reduced the residence time of the epilimnion from half a year to less than a month; (2) it removed the freshwater cap that resulted from spring ice melt; (3) it enabled fall turnover, which further enhanced deep oxygen content and helped to prevent meromixis from developing in the lake; and (4) it produced a rapid decline in contaminant (i.e., zinc) concentrations in the epilimnion, which received dissolved metals inputs from oxidized sulfide minerals exposed in the subaerial walls of the lake. Given the wide variety of inflows to inland water bodies, some of which are at least seasonally dense, an understanding of the mechanisms detailed here can inform lake management in general, and more specifically, management of water quality in mine-impacted water bodies.","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lno.12610","usgsCitation":"Pieters, R., Lawrence, G.A., Leung, A., Crusius, J., and Pedersen, T., 2024, Effect of a dense inflow on the stratification of a steep-side lake: Limnology and Oceanography, v. 69, no. 9, p. 1905-1917, https://doi.org/10.1002/lno.12610.","productDescription":"13 p.","startPage":"1905","endPage":"1917","ipdsId":"IP-118887","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":498693,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.12610","text":"Publisher Index Page"},{"id":498581,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"British Columbia","otherGeospatial":"Equity Silver mine","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -134.58395292750401,\n 59.54223868737142\n ],\n [\n -134.58395292750401,\n 54.40820789569693\n ],\n [\n -120.03652361743525,\n 54.40820789569693\n ],\n [\n -120.03652361743525,\n 59.54223868737142\n ],\n [\n -134.58395292750401,\n 59.54223868737142\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"69","issue":"9","noUsgsAuthors":false,"publicationDate":"2024-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Pieters, Roger","contributorId":365092,"corporation":false,"usgs":false,"family":"Pieters","given":"Roger","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":953692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lawrence, Gregory A. 0000-0001-8854-8123","orcid":"https://orcid.org/0000-0001-8854-8123","contributorId":305777,"corporation":false,"usgs":false,"family":"Lawrence","given":"Gregory","middleInitial":"A.","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":953693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leung, Albert","contributorId":365093,"corporation":false,"usgs":false,"family":"Leung","given":"Albert","affiliations":[{"id":87038,"text":"Tetra Tech Canada","active":true,"usgs":false}],"preferred":false,"id":953694,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crusius, John 0000-0003-2554-0831 jcrusius@usgs.gov","orcid":"https://orcid.org/0000-0003-2554-0831","contributorId":2155,"corporation":false,"usgs":true,"family":"Crusius","given":"John","email":"jcrusius@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":953695,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pedersen, Thomas","contributorId":365095,"corporation":false,"usgs":false,"family":"Pedersen","given":"Thomas","affiliations":[{"id":16829,"text":"University of Victoria","active":true,"usgs":false}],"preferred":false,"id":953696,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70258229,"text":"70258229 - 2024 - 3-D geological modeling for numerical flow simulation studies of gas hydrate reservoirs at the Kuparuk State 7-11-12 Pad in the Prudhoe Bay Unit on the Alaska North Slope","interactions":[],"lastModifiedDate":"2024-09-09T14:11:34.989533","indexId":"70258229","displayToPublicDate":"2024-07-29T07:09:39","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1513,"text":"Energy and Fuels","active":true,"publicationSubtype":{"id":10}},"title":"3-D geological modeling for numerical flow simulation studies of gas hydrate reservoirs at the Kuparuk State 7-11-12 Pad in the Prudhoe Bay Unit on the Alaska North Slope","docAbstract":"Accurate reservoir evaluation requires reliable three-dimensional (3-D) geological models. This study conducted 3-D geological modeling for numerical flow simulation of the B1 sand gas hydrate reservoir at the Kuparuk State 7-11-12 pad, Prudhoe Bay Unit, Alaska North Slope. The model integrates well logs, core, and seismic data to address spatial heterogeneity in geological structures and reservoir properties. Two modeling types were performed: structural framework modeling and petrophysical property modeling. For structural framework modeling, seismic data and well log markers were used to reproduce subsurface structures characterized by a normal fault system. A volume-based modeling algorithm and stair-step gridding were applied. The resulting 3-D model comprised 2,640,000 grid cells across 264 layers, including seven fault grids. For petrophysical property modeling, total porosity was initially modeled using sequential Gaussian simulation with collocated cokriging. To reproduce the upward coarsening of the B1 sand, upscaled log-derived total porosity and a 3-D trend depicting total porosity variation were used as primary and secondary data, respectively. Gas hydrate saturation distribution was modeled similarly, with secondary data from estimated porosity distribution and seismic-derived acoustic impedance map enhancing accuracy. Results indicate higher gas hydrate saturation in the upper part of the B1 sand and areas with higher acoustic impedance. Intrinsic permeability was modeled from the total porosity and clay-bound water volume, and effective permeability was derived from the gas hydrate saturation and intrinsic permeability distributions based on the “Tokyo model”. Effective permeability distributions were influenced by the total porosity, gas hydrate saturation, and intrinsic permeability. Within the same layer, higher gas hydrate saturation leads to decreased effective permeability. In total, 100 sets of multiple scenarios were prepared, providing input data for dynamic flow simulations to evaluate the effects of lateral heterogeneity in reservoir properties and the hydraulic characteristics of faults on production behavior for preassessment before the long-term production test.
Identifying areas expected to remain buffered from climate change and maintain biodiversity and ecological function (i.e., climate refugia) is important for climate adaptation planning. As structurally diverse transitional zones between terrestrial and aquatic environments, riparian areas are often biological hotspots and provide critical corridors for species movement, particularly in arid and semi-arid regions. In our study region in the western and central USA, identifying riparian areas that could serve as climate refugia is a priority for wildlife managers. We mapped areas with connected riparian habitats that, based on landscape diversity and projected changes in summer temperatures and landscape runoff, are expected to serve as climate refugia. To incorporate uncertainty and balance the need for near- and long-term planning, we mapped potential refugia for 2 future time periods (2040–2069, 2070–2099) based on 2 climate models that represented divergent but plausible climate outcomes. The approach we developed is not constrained by physiology or behavior of target species and can be used to identify areas expected to fare comparatively well under a wide range of future climate scenarios. Our approach can also be used to identify areas where restoration could increase riparian connectedness and climate resilience.
Expanding coal-mining operations in the Elk River Valley (British Columbia, Canada) have increased total selenium (Se) concentrations in the transboundary Lake Koocanusa (Canada and United States), but the spatial extent of Se transport from the Elk River Mines is unknown. We evaluated multiple lines of evidence of long-range transport of Se at five sites downstream of the mines relative to a site unaffected by the mines. First, all mine-affected sites had increasing trends in flow-normalized Se concentrations between 2005 and 2021 (35–89%), while no trend was observed at the unaffected site between 2005 and 2017. Second, all mine-affected sites had elevated annual mean Se concentrations and 5-year mean annual loads (2013–2017) by up to an order of magnitude relative to the unaffected site. Third, Se concentrations and the magnitude of the concentration trend generally decreased with distance downstream from the mines while loads increased, which is consistent with the downstream transport of the bulk of the Se load from the mines with smaller contributions from other sources. These results provide multiple lines of evidence that Se from the Elk River Mines is transported over 575 river kilometers and may pose risks to aquatic life in the transboundary Columbia River.