Objective:
T-bar anchor tags can be used to obtain recapture data from anglers, directly estimate exploitation, and evaluate population dynamics. Unfortunately, their use by biologists to study anadromous salmonid fisheries is limited. Two hurdles to adoption include the functional difficulty of tagging large anadromous salmonids using conventional tagging equipment and a lack of information on tag loss by large anadromous salmonids and how it changes over time. As such, our objectives were to (1) describe a T-bar anchor tagging system modified to study adult steelhead Oncorhynchus mykiss (i.e., anadromous Rainbow Trout) and (2) present an instantaneous tag loss model for steelhead that allows estimation of tag loss over time.
Methods: First, we developed a modified tagging system by tagging hatchery-obtained steelhead carcasses and live, resident Rainbow Trout >500 mm using a variety of hardware and tag dimensions. Next, we double-tagged adult steelhead captured at the Lower Granite Dam adult fish trap, Washington, USA. We then used data from 182 recaptured steelhead to fit an instantaneous tag loss model. Last, we investigated whether steelhead tag loss was related to body length.
Result: Tag loss was generally low within the time period under study (i.e., up to 221 days between release and recapture). The estimated probability of tag loss was 0.034 at release, 0.044 at one month, and 0.113 at eight months. We failed to detect significant differences in tag loss parameters between two subsets of small (<720 mm) and large (≥720 mm) steelhead.
Conclusion: T-bar anchor tags are useful external tags for studying adult steelhead during their upstream migration. Because anglers can be used to provide recapture data, T-bar anchor tags may be particularly useful where angler effort is high or direct estimation of fishery exploitation is desired.
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NASA","active":true,"usgs":false}],"preferred":false,"id":929293,"contributorType":{"id":1,"text":"Authors"},"rank":45},{"text":"Pommerol, A.","contributorId":351689,"corporation":false,"usgs":false,"family":"Pommerol","given":"A.","affiliations":[{"id":25430,"text":"University of Bern","active":true,"usgs":false}],"preferred":false,"id":929294,"contributorType":{"id":1,"text":"Authors"},"rank":46},{"text":"Prockter, L.","contributorId":351690,"corporation":false,"usgs":false,"family":"Prockter","given":"L.","affiliations":[{"id":84025,"text":"Johns Hopkins APL","active":true,"usgs":false}],"preferred":false,"id":929295,"contributorType":{"id":1,"text":"Authors"},"rank":47},{"text":"Quick, L.C.","contributorId":351691,"corporation":false,"usgs":false,"family":"Quick","given":"L.C.","affiliations":[{"id":84032,"text":"Goddard Space Flight, NASA","active":true,"usgs":false}],"preferred":false,"id":929296,"contributorType":{"id":1,"text":"Authors"},"rank":48},{"text":"Robbins, G.","contributorId":351692,"corporation":false,"usgs":false,"family":"Robbins","given":"G.","affiliations":[{"id":84025,"text":"Johns Hopkins APL","active":true,"usgs":false}],"preferred":false,"id":929297,"contributorType":{"id":1,"text":"Authors"},"rank":49},{"text":"Soderblom, J.M.","contributorId":351693,"corporation":false,"usgs":false,"family":"Soderblom","given":"J.M.","affiliations":[{"id":36390,"text":"Massachussets Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":929298,"contributorType":{"id":1,"text":"Authors"},"rank":50},{"text":"Stewart, B.A.","contributorId":207054,"corporation":false,"usgs":false,"family":"Stewart","given":"B.A.","affiliations":[{"id":37441,"text":"Northwest Indian Fisheries Commission, 6370 Martin Way E., Olympia, WA 98670","active":true,"usgs":false}],"preferred":false,"id":929300,"contributorType":{"id":1,"text":"Authors"},"rank":51},{"text":"Stickle, A.","contributorId":351694,"corporation":false,"usgs":false,"family":"Stickle","given":"A.","affiliations":[{"id":84025,"text":"Johns Hopkins APL","active":true,"usgs":false}],"preferred":false,"id":929299,"contributorType":{"id":1,"text":"Authors"},"rank":52},{"text":"Sutton, S.S.","contributorId":239566,"corporation":false,"usgs":false,"family":"Sutton","given":"S.S.","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":929301,"contributorType":{"id":1,"text":"Authors"},"rank":53},{"text":"Thomas, N.","contributorId":241711,"corporation":false,"usgs":false,"family":"Thomas","given":"N.","affiliations":[{"id":48404,"text":"Universität Bern","active":true,"usgs":false}],"preferred":false,"id":929302,"contributorType":{"id":1,"text":"Authors"},"rank":54},{"text":"Torres, I.","contributorId":351695,"corporation":false,"usgs":false,"family":"Torres","given":"I.","affiliations":[{"id":36390,"text":"Massachussets Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":929303,"contributorType":{"id":1,"text":"Authors"},"rank":55},{"text":"Tucker, O.J.","contributorId":351696,"corporation":false,"usgs":false,"family":"Tucker","given":"O.J.","affiliations":[{"id":84032,"text":"Goddard Space Flight, NASA","active":true,"usgs":false}],"preferred":false,"id":929304,"contributorType":{"id":1,"text":"Authors"},"rank":56},{"text":"Van Auken, R.B.","contributorId":351697,"corporation":false,"usgs":false,"family":"Van Auken","given":"R.B.","affiliations":[{"id":84025,"text":"Johns Hopkins APL","active":true,"usgs":false}],"preferred":false,"id":929305,"contributorType":{"id":1,"text":"Authors"},"rank":57},{"text":"Wilk, K.A.","contributorId":351698,"corporation":false,"usgs":false,"family":"Wilk","given":"K.A.","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":929306,"contributorType":{"id":1,"text":"Authors"},"rank":58}]}} ,{"id":70260190,"text":"70260190 - 2024 - New approaches to wildlife health","interactions":[],"lastModifiedDate":"2025-03-12T14:57:25.842754","indexId":"70260190","displayToPublicDate":"2024-12-01T09:54:39","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5043,"text":"Scientific and Technical Review","active":true,"publicationSubtype":{"id":10}},"title":"New approaches to wildlife health","docAbstract":"Recent environmental change and biodiversity loss have modified ecosystems, altering disease dynamics. For wildlife health, this trend has translated into increased potential for disease transmission and reduced capacity to overcome significant population-level impacts, which may place species at risk of extinction. Thus, current approaches to wildlife health focus not on the absence of disease but rather on the concept of health promotion. That is, wildlife populations will be more resilient to disease if they have the basic requirements for survival, as well as functioning ecosystems, within an enabling socio-economic environment. In this context, animal health programmes must adapt to design and implement wildlife health programmes that bridge knowledge gaps and fully integrate conservation goals. This article proposes new pathways and additions to the animal health management toolbox, including new approaches to surveillance and information management, partnerships and new wildlife health management practices. Solely because of risks to domesticated animals and human health, the traditional approach to disease surveillance in wild animals has now been replaced by a drive to recognise the intrinsic value of wildlife and the extended benefits of actively pursuing ecosystem health and associated life-sustaining ecosystem services. In this context, it is paramount to transition to holistic health programmes that embrace One Health as a pathway to set the health of all on equal footing.
","language":"English","publisher":"WOAH","doi":"10.20506/rst.SE.3569","usgsCitation":"Uhart, M., and Sleeman, J.M., 2024, New approaches to wildlife health: Scientific and Technical Review, v. Special Edition, p. 145-151, https://doi.org/10.20506/rst.SE.3569.","productDescription":"7 p.","startPage":"145","endPage":"151","ipdsId":"IP-160996","costCenters":[{"id":82110,"text":"Midcontinent Regional Director's Office","active":true,"usgs":true}],"links":[{"id":487952,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.20506/rst.se.3569","text":"Publisher Index Page"},{"id":483236,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"Special Edition","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Uhart, Marcela","contributorId":292398,"corporation":false,"usgs":false,"family":"Uhart","given":"Marcela","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":917378,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sleeman, Jonathan M. 0000-0002-9910-6125 jsleeman@usgs.gov","orcid":"https://orcid.org/0000-0002-9910-6125","contributorId":128,"corporation":false,"usgs":true,"family":"Sleeman","given":"Jonathan","email":"jsleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":82110,"text":"Midcontinent Regional Director's Office","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":917379,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70261041,"text":"ofr20241065 - 2024 - Distribution, abundance, breeding activities, and habitat use of the Least Bell's Vireo at Marine Corps Base Camp Pendleton, California—2023 annual report","interactions":[],"lastModifiedDate":"2024-11-27T14:57:21.031384","indexId":"ofr20241065","displayToPublicDate":"2024-11-26T14:12:36","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":"2024-1065","displayTitle":"Distribution, Abundance, Breeding Activities, and Habitat Use of the Least Bell's Vireo at Marine Corps Base Camp Pendleton, California—2023 Annual Report","title":"Distribution, abundance, breeding activities, and habitat use of the Least Bell's Vireo at Marine Corps Base Camp Pendleton, California—2023 annual report","docAbstract":"The purpose of this report is to provide the Marine Corps with an annual summary of abundance, breeding activity, demography, and habitat use of endangered Least Bell’s Vireos (Vireo bellii pusillus) at Marine Corps Base Camp Pendleton, California (MCBCP or Base). Surveys for the Least Bell's Vireo were completed at MCBCP between April 11 and July 20, 2023. Core survey areas and a subset of non-core areas in drainages containing riparian habitat suitable for vireos were surveyed two to four times. We detected 561 territorial male vireos and 28 transient vireos in core survey areas. An additional 103 territorial male vireos and 15 transients were detected in non-core survey areas. Transient vireos were detected on 10 of the 15 drainages/sites surveyed (core and non-core areas). In core survey areas, 90 percent of vireo territories were on the four most populated drainages, with the Santa Margarita River containing 72 percent of all territories in core areas surveyed on Base. In core areas, 79 percent of male vireos were confirmed as paired; 69 percent of male vireos in non-core areas were confirmed as paired.
The number of documented Least Bell’s Vireo territories in core survey areas on MCBCP decreased 2 percent from 2022. In two core survey area drainages, the number of territories increased by at least three, and in two core survey area drainages, the number of vireo territories decreased by at least four between 2022 and 2023. The number of vireo territories at the lower San Luis Rey River increased 2 percent from 2022, in contrast to the decrease at MCBCP; however, this change was negligible overall. Although the 10-percent decrease at Marine Corps Air Station, Camp Pendleton from 2022 to 2023 was superficially less trivial, this 10-percent decrease represented the loss of a single territory. The proportion of surveys during which Brown-headed Cowbirds (Molothrus ater) were detected decreased to 0.20 from a peak of 0.45 in 2022. Cowbirds were detected from April through July in 2023.
Most core-area vireos (62 percent, including transients) used mixed willow (Salix spp.) riparian habitat. An additional 7 percent of birds occupied willow habitat co-dominated by Western sycamores (Platanus racemosa) or Fremont cottonwoods (Populus fremontii). Riparian scrub dominated by mule fat (Baccharis salicifolia), sandbar willow (S. exigua), or blue elderberry (Sambucus mexicana) was used by 29 percent of vireos. Habitat dominated by coast live oak (Quercus agrifolia) and sycamore or non-native habitat was used by 1 percent of vireos; fewer than 1 percent of vireo territories were in upland scrub and habitat dominated by white alder (Alnus rhombifolia).
In 2019, MCBCP began operating an artificial seep along the Santa Margarita River; then in 2021, two additional artificial seeps became operational. The artificial seeps pumped water to the surface starting in March and ending in August each year during daylight hours and were designed to increase the amount of surface water present to enhance Southwestern Willow Flycatcher (Empidonax traillii extimus) breeding habitat. Although this enhancement was designed to benefit flycatchers, few flycatchers have inhabited MCBCP, including the seep areas, within the past several years; therefore, vireos were selected as a surrogate species to determine effects of the habitat enhancement. This report presents the fourth year of analyses of vireo and vegetation response to the artificial seeps.
In 2020, we established four study sites along the Santa Margarita River, two surrounding and extending downstream of seep pumps at the Old Treatment Ponds and along Pump Road, and two Reference sites in similar habitat but further downstream of the Seep sites. In 2023, seep pumps at one Seep site did not function, and we recategorized that study site as Intermediate. Soil moisture was higher at sites that had surface water augmentation (Seep and Intermediate sites) than at the Reference site, and soil moisture also decreased with increasing distance from the seep pumps. We sampled vegetation at these sites to determine the effects of surface water enhancement by seep pumps. Soil moisture was positively related to total foliage cover, woody cover, and native herbaceous cover below 1 meter (m), and also positively related to native herbaceous cover between 1 and 2 m. The Seep site had greater total vegetation cover in the understory (71–79 percent) than the Intermediate (52–66 percent) and Reference (61–69 percent) sites. Total herbaceous cover below 3 m was higher at the Seep site than at the Intermediate site; total herbaceous cover between 1 and 3 m was higher at the Seep site than at the Reference sites. Native herbaceous cover below 3 m was greater at the Seep site than at the Reference sites; native herbaceous cover between 2 and 3 m was also greater at the Seep site than at the Intermediate site. Non-native cover below 3 m was greater at Seep and Reference sites than at the Intermediate site. We found no difference in woody cover among site types at any height.
Vireo territory density among the Seep, Intermediate, and Reference sites was similar before the seep pumps were installed. However, vireo territory density at Seep and Intermediate sites combined was significantly higher than at Reference sites after the seep pumps were installed.
The U.S. Geological Survey has been color banding Least Bell’s Vireos on Marine Corps Base Camp Pendleton since 1995. By the end of 2022, over 1,000 Least Bell’s Vireos had been color banded on Base. In 2023, we continued to color band and resight color banded Least Bell’s Vireos to evaluate adult survival, site fidelity, between-year movement, and the effect of surface water enhancement on vireo return rate, site fidelity, and between-year movement. We banded 180 Least Bell's Vireos for the first time during the 2023 season, including 1 adult vireo and 179 nestlings. Adult vireos were banded with unique color combinations, whereas nestlings were banded with a single gold numbered federal band on the right leg.
We resighted 57 Least Bell's Vireos on Base in 2023 that had been banded before the 2023 breeding season, 20 of which we were unable to identify. Of the 37 that we could identify, 34 were banded on Base, 2 were originally banded on the San Luis Rey River, and 1 was banded at Marine Corps Air Station, Camp Pendleton. Adult birds of known age ranged from 1 to 8 years old.
Base-wide survival of vireos was affected by sex, age, and year. Males had significantly higher annual survival than females. Adults had higher annual survival than first-year vireos. Survival for adults and first-year birds was lowest from 2020 to 2021 and highest from 2007 to 2008 and from 2012 to 2013. The return rate of adult vireos to Seep, Intermediate, or Reference sites was not affected by the original banding site (Seep versus Intermediate versus Reference).
Most returning adult vireos, predominantly males, showed strong between-year site fidelity. Of the adults present in 2022, 88 percent (96 percent of males; 25 percent of females) returned in 2023 to within 100 m of their previous territory. The discrepancy between male and female return rates follows the pattern observed in previous years. The average between-year movement for returning adult vireos was 0.4±1.9 kilometers (km). The average movement of first-year vireos detected in 2023 that fledged from a known nest on MCBCP in 2022 was 0.9±0.5 km.
We monitored Least Bell's Vireo pairs to evaluate the effects of surface water enhancement on nest success and breeding productivity. We monitored vireo nesting activity at 13 territories in the Seep site, 12 territories at the Intermediate site, and 25 territories in the Reference sites between April 8 and July 26. All territories except one at a Seep site and one at a Reference site were occupied by pairs, and all were fully monitored, meaning that all nesting attempts were monitored at these territories. During the monitoring period, 99 nests (26 in the Seep site, 28 at the Intermediate site, and 45 in Reference sites) were monitored.
Breeding productivity was similar among Seep, Intermediate, and Reference sites (2.9, 3.6, and 3.0 young fledged per pair, respectively), and a similar percentage of pairs at Seep, Intermediate, and Reference sites fledged at least 1 young (83, 83, and 96 percent, respectively). Other measures of breeding productivity were also similar among Seep, Intermediate, and Reference site pairs. According to the best model, daily nest survival in 2023 was not related to site. Fledging success appeared lower at Intermediate and Seep sites than at the Reference sites in 2023 (48, 46, and 67 percent, respectively), although the difference was not statistically significant. Predation was believed to be the primary source of nest failure at all sites. Predation accounted for 85, 77, and 71 percent of nest failures at Seep, Intermediate, and Reference sites, respectively. Failure of the remaining nests was attributed to infertile eggs, collapse of the vegetation supporting the nest, and other unknown causes. We found no relationships between vireo productivity and understory (below 3 m) vegetation cover.
Vireos placed their nests in 15 plant species in 2023. We found few differences in nest placement between successful and unsuccessful vireo nests. At Reference sites, successful vireo nests were placed slightly but significantly higher in the vegetation than unsuccessful nests, and at Intermediate sites, successful nests were placed significantly closer to the edge of the nest plant than unsuccessful nests. We did not find differences in nest placement among Seep, Intermediate, and Reference sites.
We found that as bio-year precipitation increased, the number of fledglings produced per vireo pair also increased. We did not find a link between bio-year precipitation and adult survival.
Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819
Coevolution between plants and their animal predators has led to diverse defensive adaptations. Multiple theories of defense propose that there are resource allocation costs associated with producing chemical defenses. One leading hypothesis, optimal defense theory (ODT), suggests that natural selection will result in the allocation of resources to defenses that optimize the cost-to-benefit ratio between defense and other functional processes. The population decline of the rare subalpine wetland species, Arizona willow (Salix arizonica), has been attributed to various biotic and abiotic factors, with browsing from wild and domestic ungulates as a significant concern for at least three decades. In a field experiment using natural populations, we compare the relationship between phytochemical defense and height in Arizona willows with and without long-term protection from browsing via browse exclosures. Consistent with the predictions of ODT, individuals with physical protection from ungulate browsing for multiple years had significantly lower phenolic glycoside (PG) concentrations and increased plant height compared to unprotected individuals. A similar pattern was found across all individuals, whereby total PG concentration and height were negatively correlated. In a short-term experiment in natural populations, changes in levels of defense were not observed when plants received protection for only one growing season. The contrasting pattern of defense plasticity in response to long-term versus short-term physical protection suggests a differential plastic response in this long-lived species. Delayed reduction in PG concentration may serve as a benefit to avoid mismatches between environmental cues and responses. Our research sheds light on the intricate dynamics between plant-defense strategies, environmental pressures, and evolutionary adaptations in shaping plant–browser interactions.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.70582","usgsCitation":"Lencioni, S., Massatti, R., Keefover-Ring, K., and Holeski, L.M., 2024, The cost of self-defense: Browsing effects in the rare plant species Salix arizonica: Ecology & Evolution, v. 14, no. 11, e70582, 17 p., https://doi.org/10.1002/ece3.70582.","productDescription":"e70582, 17 p.","ipdsId":"IP-168041","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":492508,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.70582","text":"Publisher Index Page"},{"id":492415,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -109.73290084766971,\n 34.18204394413493\n ],\n [\n -109.73290084766971,\n 33.716377912993124\n ],\n [\n -109.18228285042254,\n 33.716377912993124\n ],\n [\n -109.18228285042254,\n 34.18204394413493\n ],\n [\n -109.73290084766971,\n 34.18204394413493\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -104.45634406936061,\n 37.110281634744624\n ],\n [\n -106.88897389351914,\n 37.110281634744624\n ],\n [\n -106.88897389351914,\n 35.55797928606451\n ],\n [\n -104.45634406936061,\n 35.55797928606451\n ],\n [\n -104.45634406936061,\n 37.110281634744624\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.9299928786093,\n 38.83409219968786\n ],\n [\n -112.34322892723904,\n 38.87293116294293\n ],\n [\n -113.29438431503323,\n 37.68728907833105\n ],\n [\n -112.94883348126503,\n 37.49534118639001\n ],\n [\n -111.75899865159066,\n 38.77579399669651\n ],\n [\n -111.9299928786093,\n 38.83409219968786\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"11","noUsgsAuthors":false,"publicationDate":"2024-11-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Lencioni, Shannon J.","contributorId":358232,"corporation":false,"usgs":false,"family":"Lencioni","given":"Shannon J.","affiliations":[{"id":85582,"text":"Department of Biological Sciences and Center for Adaptable Western Landscapes, Northern Arizona University, 617 S. Beaver St. Flagstaff, Arizona 86011","active":true,"usgs":false}],"preferred":false,"id":943310,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Massatti, Robert 0000-0001-5854-5597","orcid":"https://orcid.org/0000-0001-5854-5597","contributorId":207294,"corporation":false,"usgs":true,"family":"Massatti","given":"Robert","email":"","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":943311,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keefover-Ring, Ken","contributorId":358233,"corporation":false,"usgs":false,"family":"Keefover-Ring","given":"Ken","affiliations":[{"id":85583,"text":"Department of Botany and Geography, University of Wisconsin, Madison, 430 Lincoln Drive, Madison, Wisconsin 53706","active":true,"usgs":false}],"preferred":false,"id":943312,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holeski, Liza M.","contributorId":217866,"corporation":false,"usgs":false,"family":"Holeski","given":"Liza","email":"","middleInitial":"M.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":943313,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70264189,"text":"70264189 - 2024 - The efficacy of the semiochemical repellent verbenone to reduce ambrosia beetle attack on healthy and Ceratocystis-infested ‘ōhiʻa trees","interactions":[],"lastModifiedDate":"2025-03-07T14:51:35.586596","indexId":"70264189","displayToPublicDate":"2024-11-22T08:46:32","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":20204,"text":"Trees, Forests and People","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The efficacy of the semiochemical repellent verbenone to reduce ambrosia beetle attack on healthy and Ceratocystis-infested ‘ōhiʻa trees","title":"The efficacy of the semiochemical repellent verbenone to reduce ambrosia beetle attack on healthy and Ceratocystis-infested ‘ōhiʻa trees","docAbstract":"The diagnosis of anthrax, a zoonotic disease caused by Bacillus anthracis can be complicated by detection of closely related species. Conventional diagnosis of anthrax involves microscopy, culture identification of bacterial colonies and molecular detection. Genetic markers used are often virulence gene targets such as B. anthracis protective antigen (pagA, also called BAPA, occurring on plasmid pXO1), lethal factor (lef, on pXO1), capsule-encoding capB/C (located on pXO2) as well as chromosomal Ba-1. Combinations of genetic markers using real-time/quantitative polymerase chain reaction (qPCR) are used to confirm B. anthracis from culture but can also be used directly on diagnostic samples to avoid propagation and its associated biorisks and for faster identification. We investigated how the presence of closely related species could complicate anthrax diagnoses with and without culture to standardise the use of genetic markers using qPCR for accurate anthrax diagnosis. Using blood smears from 2012–2020 from wildlife mortalities (n = 1708) in Kruger National Park in South Africa where anthrax is endemic, we contrasted anthrax diagnostic results based on qPCR, microscopy, and culture. From smears, 113/1708 grew bacteria in culture, from which 506 isolates were obtained. Of these isolates, only 24.7% (125 isolates) were positive for B. anthracis based on genetic markers or microscopy. However, among these, merely 4/125 (3.2%) were confirmed B. anthracis isolates (based on morphology, microscopy, and sensitivity testing to penicillin and gamma-phage) from the blood smear, likely due to poor survival of spores on stored smears. This study identified B. cereus sensu lato, which included B. cereus and B. anthracis, Peribacillus spp., and Priestia spp. clusters using gyrB gene in selected bacterial isolates positive for pagA region using BAPA probe. Using qPCR on blood smears, 52.1% (890 samples) tested positive for B. anthracis based on one or a combination of genetic markers which included the 25 positive controls. Notably, the standard lef primer set displayed the lowest specificity and accuracy. The Ba-1+BAPA+lef combination showed 100% specificity, sensitivity, and accuracy. Various marker combinations, such as Ba-1+capB, BAPA+capB, Ba-1+BAPA+capB+lef, and BAPA+lef+capB, all demonstrated 100.0% specificity and 98.7% accuracy, while maintaining a sensitivity of 96.6%. Using Ba-1+BAPA+lef+capB, as well as Ba-1+BAPA+lef with molecular diagnosis accurately detects B. anthracis in the absence of bacterial culture. Systematically combining microscopy and molecular markers holds promise for notably reducing false positives. This significantly enhances the detection and surveillance of diseases like anthrax in southern Africa and beyond and reduces the need for propagation of the bacteria in culture.
","language":"English","publisher":"PLoS","doi":"10.1371/journal.pntd.0012122","usgsCitation":"Ochai, S.O., Hassim, A., Dekker, E., Magome, T., Lekota, K., Makgabo, S., de Klerk‑Loris, L., van Schalkwyk, O., Kamath, P., Turner, W.C., and van Heerden, H., 2024, Comparing microbiological and molecular diagnostic tools for the surveillance of anthrax: PLoS Neglected Tropical Diseases, v. 18, no. 11, e0012122, 24 p., https://doi.org/10.1371/journal.pntd.0012122.","productDescription":"e0012122, 24 p.","ipdsId":"IP-156613","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":466750,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pntd.0012122","text":"Publisher Index Page"},{"id":465488,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"11","noUsgsAuthors":false,"publicationDate":"2024-11-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Ochai, Sunday O.","contributorId":342466,"corporation":false,"usgs":false,"family":"Ochai","given":"Sunday","email":"","middleInitial":"O.","affiliations":[{"id":48053,"text":"University of Pretoria","active":true,"usgs":false}],"preferred":false,"id":910601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hassim, Ayesha","contributorId":343065,"corporation":false,"usgs":false,"family":"Hassim","given":"Ayesha","affiliations":[{"id":48053,"text":"University of Pretoria","active":true,"usgs":false}],"preferred":false,"id":910602,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dekker, Edgar H.","contributorId":343067,"corporation":false,"usgs":false,"family":"Dekker","given":"Edgar H.","affiliations":[{"id":81972,"text":"Government of South Africa","active":true,"usgs":false}],"preferred":false,"id":910603,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Magome, Thuto","contributorId":343070,"corporation":false,"usgs":false,"family":"Magome","given":"Thuto","affiliations":[{"id":81973,"text":"North West University","active":true,"usgs":false}],"preferred":false,"id":910604,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lekota, Kgaugelo E.","contributorId":343072,"corporation":false,"usgs":false,"family":"Lekota","given":"Kgaugelo E.","affiliations":[{"id":81973,"text":"North West University","active":true,"usgs":false}],"preferred":false,"id":910605,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Makgabo, S. 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As the upper Colorado River Basin (UCOL) contributes an estimated 92% of the total basin natural streamflow, knowledge of the location and amount of surface water withdrawals in the UCOL is important for managing the Colorado River system. Since the UCOL encompasses portions of five states, water use data are dispersed among numerous federal and state agency databases, and there is no centralized dataset that documents surface water use within the entire UCOL at a fine spatial and temporal resolution. This article presents an inventory of 1,358 major structures that divert surface water from and within the UCOL with corresponding daily time series withdrawal records from 1980 through 2022. Data compilation efforts, processing methods, and contents of this diversion database are documented, and summary information is provided.","language":"English","publisher":"Springer Nature","doi":"10.1038/s41597-024-04123-0","usgsCitation":"Lopez, S.F., Knight, J., Tillman, F.D., Masbruch, M.D., Wise, D., Jones, C.J., and Miller, M., 2024, Database of surface water diversion sites and daily withdrawals for the upper Colorado River Basin, 1980–2022: Scientific Data, v. 11, 1266, 10 p., https://doi.org/10.1038/s41597-024-04123-0.","productDescription":"1266, 10 p.","ipdsId":"IP-168039","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":466751,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41597-024-04123-0","text":"Publisher Index Page"},{"id":464464,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.23653442041727,\n 45.094514943023796\n ],\n [\n -110.23653442041727,\n 32.70061306772341\n ],\n [\n -106.92766646541669,\n 32.70061306772341\n ],\n [\n -106.92766646541669,\n 45.094514943023796\n ],\n [\n -110.23653442041727,\n 45.094514943023796\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"11","noUsgsAuthors":false,"publicationDate":"2024-11-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Lopez, Samuel Francisco 0000-0002-3544-7465","orcid":"https://orcid.org/0000-0002-3544-7465","contributorId":344607,"corporation":false,"usgs":true,"family":"Lopez","given":"Samuel","email":"","middleInitial":"Francisco","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":919353,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knight, Jacob E. 0000-0003-0271-9011","orcid":"https://orcid.org/0000-0003-0271-9011","contributorId":204140,"corporation":false,"usgs":true,"family":"Knight","given":"Jacob E.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":919354,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tillman, Fred D. 0000-0002-2922-402X ftillman@usgs.gov","orcid":"https://orcid.org/0000-0002-2922-402X","contributorId":147809,"corporation":false,"usgs":true,"family":"Tillman","given":"Fred","email":"ftillman@usgs.gov","middleInitial":"D.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":919355,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Masbruch, Melissa D. 0000-0001-6568-160X mmasbruch@usgs.gov","orcid":"https://orcid.org/0000-0001-6568-160X","contributorId":1902,"corporation":false,"usgs":true,"family":"Masbruch","given":"Melissa","email":"mmasbruch@usgs.gov","middleInitial":"D.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":919356,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wise, Daniel 0000-0002-1215-9612","orcid":"https://orcid.org/0000-0002-1215-9612","contributorId":217259,"corporation":false,"usgs":true,"family":"Wise","given":"Daniel","email":"","affiliations":[],"preferred":true,"id":919357,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jones, Casey J.R. 0000-0002-6991-8026","orcid":"https://orcid.org/0000-0002-6991-8026","contributorId":223364,"corporation":false,"usgs":true,"family":"Jones","given":"Casey","email":"","middleInitial":"J.R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":919358,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Miller, Matthew P. 0000-0002-2537-1823","orcid":"https://orcid.org/0000-0002-2537-1823","contributorId":220622,"corporation":false,"usgs":true,"family":"Miller","given":"Matthew P.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":919359,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70261011,"text":"70261011 - 2024 - Temporal concentrations of Quaternary ammonium compounds in wastewater treatment effluents during the COVID-19 pandemic, 2020–2021","interactions":[],"lastModifiedDate":"2024-11-20T16:09:06.755316","indexId":"70261011","displayToPublicDate":"2024-11-19T09:29:07","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1226,"text":"Chemosphere","active":true,"publicationSubtype":{"id":10}},"title":"Temporal concentrations of Quaternary ammonium compounds in wastewater treatment effluents during the COVID-19 pandemic, 2020–2021","docAbstract":"Quaternary ammonium compounds (QAC) are high production chemicals used in many commercial and household disinfection products. During the SARS-CoV-2 (COVID-19) pandemic, QACs were included on lists of COVID-19 disinfectants. Increased QAC use could lead to higher levels of QACs in wastewater treatment plant (WWTP) effluents, which could subsequently be released into the environment. To evaluate QACs in WWTP effluent, three WWTPs in the northeastern United States were monitored from May 2020 through August 2021. Target QACs included six benzylalkyldimethyl ammonium compounds (BAC), three dialkyldimethyl ammonium compounds (DADMAC), two ethylbenzylalkyldimethyl ammonium compounds (EBAC), and benzethonium. At least one QAC was detected in every sample with individual concentrations up to 1600 ng L−1. BAC-C14 was detected most frequently, found in 93% of effluent samples; BAC-C12, BAC-C16, EBAC-C12 and EBAC-C14 were all detected in greater than 80% of samples. Few temporal patterns were observed in QAC concentrations with respect to weekly COVID-19 cases: at WWTP 2, DADMAC-C8:C10 and DADMAC-C10 were positively correlated, and DADMAC-C8 negatively correlated. There were several seasonal trends at WWTP 1, including significant differences of ƩDADMAC, which were higher in fall than summer; ƩBAC was higher during the fall than both spring and summer; and ƩQAC where higher during the fall than spring.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemosphere.2024.143753","usgsCitation":"Hladik, M.L., Gross, M.S., Black, G.P., Kolpin, D., Masoner, J.R., Phillips, P.J., Bradley, P., and Smalling, K., 2024, Temporal concentrations of Quaternary ammonium compounds in wastewater treatment effluents during the COVID-19 pandemic, 2020–2021: Chemosphere, v. 368, 143753,8 p., https://doi.org/10.1016/j.chemosphere.2024.143753.","productDescription":"143753,8 p.","ipdsId":"IP-164654","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":489869,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.chemosphere.2024.143753","text":"Publisher Index Page"},{"id":464347,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"368","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":221087,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":918907,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gross, Michael S.","contributorId":340328,"corporation":false,"usgs":false,"family":"Gross","given":"Michael","email":"","middleInitial":"S.","affiliations":[{"id":81579,"text":"California Department of Food and Agriculture","active":true,"usgs":false}],"preferred":false,"id":918908,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Black, Gabrielle Pecora 0000-0002-1578-742X","orcid":"https://orcid.org/0000-0002-1578-742X","contributorId":303108,"corporation":false,"usgs":true,"family":"Black","given":"Gabrielle","email":"","middleInitial":"Pecora","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":918909,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kolpin, Dana W. 0000-0002-3529-6505","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":204154,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana W.","affiliations":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":918910,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Masoner, Jason R. 0000-0002-4829-6379 jmasoner@usgs.gov","orcid":"https://orcid.org/0000-0002-4829-6379","contributorId":3193,"corporation":false,"usgs":true,"family":"Masoner","given":"Jason","email":"jmasoner@usgs.gov","middleInitial":"R.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - 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2024 - Fine-scale surficial soil moisture mapping using UAS-based L-band remote sensing in a mixed oak-grassland landscape","interactions":[],"lastModifiedDate":"2026-02-10T15:13:38.843978","indexId":"70273866","displayToPublicDate":"2024-11-19T08:03:14","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17157,"text":"Frontiers in Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Fine-scale surficial soil moisture mapping using UAS-based L-band remote sensing in a mixed oak-grassland landscape","docAbstract":"Soil moisture maps provide quantitative information that, along with climate and energy balance, is critical to integrate with hydrologic processes for characterizing landscape conditions. However, soil moisture maps are difficult to produce for natural landscapes because of vegetation cover and complex topography. Satellite-based L-band microwave sensors are commonly used to develop spatial soil moisture data products, but most existing L-band satellites provide only coarse scale (one to tens of kilometers grid size), information that is unsuitable for measuring soil moisture variation at hillslope or watershed-scales. L-band sensors are typically deployed on satellite platforms and aircraft but have been too large to deploy on small uncrewed aircraft systems (UAS). There is a need for greater spatial resolution and development of effective measures of soil moisture across a variety of natural vegetation types. To address these challenges, a novel UAS-based L-band radiometer system was evaluated that has recently been tested in agricultural settings. In this study, L-band UAS was used to map soil moisture at 3–50-m (m) resolution in a 13 square kilometer (km2) mixed grassland-forested landscape in Sonoma County, California. The results represent the first application of this technology in a natural landscape with complex topography and vegetation. The L-band inversion of the radiative transfer model produced soil moisture maps with an average unbiased root mean squared error (ubRMSE) of 0.07 m3/m3 and a bias of 0.02 m3/m3. Improved fine-scale soil moisture maps developed using UAS-based systems may be used to help inform wildfire risk, improve hydrologic models, streamflow forecasting, and early detection of landslides.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/frsen.2024.1337953","usgsCitation":"Stern, M.A., Ferrell, R., Flint, L.E., Kozanitas, M., Ackerly, D., Elston, J., Stachura, M., Dai, E., and Thorne, J.H., 2024, Fine-scale surficial soil moisture mapping using UAS-based L-band remote sensing in a mixed oak-grassland landscape: Frontiers in Remote Sensing, v. 5, 1337953, 12 p., https://doi.org/10.3389/frsen.2024.1337953.","productDescription":"1337953, 12 p.","ipdsId":"IP-159618","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":499941,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/frsen.2024.1337953","text":"Publisher Index Page"},{"id":499713,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Sonoma County","city":"Santa Rosa","otherGeospatial":"Mayacamas Mountains, Pepperwood Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.71354880264356,\n 38.57616137564548\n ],\n [\n -122.71354880264356,\n 38.565372954642044\n ],\n [\n -122.68982536456959,\n 38.565372954642044\n ],\n [\n -122.68982536456959,\n 38.57616137564548\n ],\n [\n -122.71354880264356,\n 38.57616137564548\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"5","noUsgsAuthors":false,"publicationDate":"2024-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Stern, Michelle A. 0000-0003-3030-7065 mstern@usgs.gov","orcid":"https://orcid.org/0000-0003-3030-7065","contributorId":4244,"corporation":false,"usgs":true,"family":"Stern","given":"Michelle","email":"mstern@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955319,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferrell, Ryan","contributorId":366124,"corporation":false,"usgs":false,"family":"Ferrell","given":"Ryan","affiliations":[{"id":37798,"text":"Pepperwood Preserve","active":true,"usgs":false}],"preferred":false,"id":955320,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flint, Lorraine E. 0000-0002-7868-441X","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":306090,"corporation":false,"usgs":false,"family":"Flint","given":"Lorraine","email":"","middleInitial":"E.","affiliations":[{"id":66369,"text":"Earth Knowledge, Inc.","active":true,"usgs":false}],"preferred":false,"id":955321,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kozanitas, Melina","contributorId":366125,"corporation":false,"usgs":false,"family":"Kozanitas","given":"Melina","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":955322,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ackerly, David","contributorId":139541,"corporation":false,"usgs":false,"family":"Ackerly","given":"David","affiliations":[{"id":7102,"text":"University of California, Berkeley, Dept. of Civil & Envir. Engineering","active":true,"usgs":false}],"preferred":false,"id":955323,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Elston, Jack","contributorId":334719,"corporation":false,"usgs":false,"family":"Elston","given":"Jack","affiliations":[{"id":80215,"text":"Black Swift Technologies","active":true,"usgs":false}],"preferred":false,"id":955324,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stachura, Maciej","contributorId":334720,"corporation":false,"usgs":false,"family":"Stachura","given":"Maciej","affiliations":[{"id":80215,"text":"Black Swift Technologies","active":true,"usgs":false}],"preferred":false,"id":955325,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dai, Eryan","contributorId":366129,"corporation":false,"usgs":false,"family":"Dai","given":"Eryan","affiliations":[{"id":87362,"text":"Weather Stream Inc.","active":true,"usgs":false}],"preferred":false,"id":955326,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Thorne, James H.","contributorId":173762,"corporation":false,"usgs":false,"family":"Thorne","given":"James","email":"","middleInitial":"H.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":955327,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70260970,"text":"70260970 - 2024 - Three-dimensional temperature maps of the Williston Basin, USA: Implications for deep hot sedimentary and enhanced geothermal resources","interactions":[],"lastModifiedDate":"2024-11-27T16:09:53.482598","indexId":"70260970","displayToPublicDate":"2024-11-15T11:29:13","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1828,"text":"Geothermics","active":true,"publicationSubtype":{"id":10}},"title":"Three-dimensional temperature maps of the Williston Basin, USA: Implications for deep hot sedimentary and enhanced geothermal resources","docAbstract":"As part of U.S. Geological Survey's (USGS) efforts to identify and assess geothermal energy resources of the US, a three-dimensional (3D) geologic and thermal model has been constructed for the Williston Basin, USA. The geologic model consists of all sedimentary units above the Proterozoic and Archean crystalline rock (called basement herein), with a total sedimentary thickness of up to 5 km near the basin center. Twenty-nine geologic units were mapped from interpreted formation tops from 16,465 wells. A 3D temperature model was constructed to a depth of 7 km by constructing a 3D heat flow model for the sedimentary units, followed by estimating underlying temperature using a one-dimensional (1D) analytic solution for heat flow within the underlying crystalline basement. Using the sedimentary basin model, heat flow was simulated in 3D and was calibrated using three temperature datasets: 1) 24 high-confidence static temperature logs (equilibrium thermal profiles), 2) more than15,000 drill stem test (DST) measurements from >7,000 wells, and 3) more than 45,000 bottomhole temperature (BHT) measurements from >14,000 wells. The DST and BHT datasets provide broad spatial coverage, but are lower confidence, primarily because measurements were made prior to attaining thermal equilibrium. DST and BHT measurements were binned regionally to develop representative thermal profiles that generally agree with these lower quality data (hereafter called pseudowell temperature profiles). Layer properties (primarily thermal conductivity and compaction curves) were set to best estimate values, then the heat flow model was calibrated to fit pseudowell and static temperature logs primarily by adjusting basal heat flow to approximate the overall temperature profile. Minor adjustments to thermal conductivity allowed adjusting changes in slope at lithologic contacts. Resulting maps include 3D temperature and basal (bottom of sedimentary units) heat flow estimates, which are used as input for the temperature model of the basement. The crystalline basement temperature model uses an analytic 1D solution to the heat flow equation that requires estimates of heat flow and temperature at the upper boundary (i.e., the sediment/basement contact), radiogenic heat production within the crystalline basement, and reference thermal conductivity (i.e., uncorrected for temperature). Two regions of high heat flow are identified: 1) in western North Dakota along the North American Central Plains Conductivity Anomaly and 2) in eastern Montana near the Poplar dome. Within the sedimentary column in the center of the basin of the basin, an area of approximately 100,000 km2 is predicted to have moderate- to high-temperature geothermal resources (>90 °C) under the thickest sequences of sediments. Where thick insulation and high heat flow coincide, electric-grade resources can be less than 4 km deep. Assuming a maximum feasible drilling depth of 7 km, temperatures are predicted to be as high as 175 °C. The geologic model may be used to identify strata at sufficient temperatures that may have natural permeability or that may have conditions that favor development of enhanced/engineered geothermal systems resources.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geothermics.2024.103196","usgsCitation":"Gelman, S.E., and Burns, E.R., 2024, Three-dimensional temperature maps of the Williston Basin, USA: Implications for deep hot sedimentary and enhanced geothermal resources: Geothermics, v. 125, 103196, 9 p., https://doi.org/10.1016/j.geothermics.2024.103196.","productDescription":"103196, 9 p.","ipdsId":"IP-165645","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":466763,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geothermics.2024.103196","text":"Publisher Index Page"},{"id":464292,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, North Dakota, South Dakota","otherGeospatial":"Williston Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -107.05487036081263,\n 49.09401622161886\n ],\n [\n -107.05487036081263,\n 45.9204646960259\n ],\n [\n -100.81731222757732,\n 45.9204646960259\n ],\n [\n -100.81731222757732,\n 49.09401622161886\n ],\n [\n -107.05487036081263,\n 49.09401622161886\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"125","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gelman, Sarah E. 0000-0003-2549-9509","orcid":"https://orcid.org/0000-0003-2549-9509","contributorId":270004,"corporation":false,"usgs":true,"family":"Gelman","given":"Sarah","email":"","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":918757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burns, Erick R. 0000-0002-1747-0506 eburns@usgs.gov","orcid":"https://orcid.org/0000-0002-1747-0506","contributorId":192154,"corporation":false,"usgs":true,"family":"Burns","given":"Erick","email":"eburns@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":918758,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70267760,"text":"70267760 - 2024 - Evaluating spatially explicit management alternatives for an invasive species in a riverine network","interactions":[],"lastModifiedDate":"2025-05-30T15:47:18.945176","indexId":"70267760","displayToPublicDate":"2024-11-14T10:37:09","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5071,"text":"NeoBiota","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating spatially explicit management alternatives for an invasive species in a riverine network","docAbstract":"Invasive species have substantial ecological and economic costs and removing them can require large investments by management agencies. Optimal spatial allocation of removal effort is critical for efficient and effective management of invasive species. Using a series of ecologically informed model simulations, we evaluated and compared different spatially explicit removal strategies for invasive rusty crayfish (Faxonius rusticus) in the John Day River, USA. We assessed strategies in terms of their performance on three likely management objectives: suppression (minimise overall population abundance), containment (minimise the spatial extent of invasion) and prevention (minimise spread into a specific area). We developed five spatial removal strategies to achieve those objectives, denoted as: Target Abundance (removal at locations with the highest population abundance), Target Growth (removal at locations with the highest population growth), Target Edges (removal at the most distant locations in the river), Target Downstream (removal at the most downstream invaded segments on the Mainstem), and Target Random (removal at randomly selected locations). Each strategy was assessed at various effort levels, referring to the number of spatial segments in the river in which removals were conducted, after seven years of management. We identified the alternative that best achieved each objective, based on decision criteria for risk-neutral and risk-averse decision-makers and further evaluated strategies based on Pareto efficiency, which identifies the set of alternatives for which an improvement on one objective cannot be had without a decline in performance on another. We found that Target Abundance and Target Growth strategies best achieved the suppression objective, for risk neutral and risk averse decision-makers, respectively and Target Downstream was always best in achieving the prevention objective across both types of decision-makers. No single strategy consistently performed best in terms of the containment objective. In terms of all three objectives, Target Downstream was consistently Pareto efficient across all levels of management effort and both decision criteria. The modelling framework we provided is adaptable to a variety of riverine invasive species to help assess and compare spatial management strategies.
","language":"English","publisher":"Pensoft","doi":"10.3897/neobiota.96.132363","usgsCitation":"Thompson, B., Olden, J., and Converse, S.J., 2024, Evaluating spatially explicit management alternatives for an invasive species in a riverine network: NeoBiota, v. 96, p. 151-172, https://doi.org/10.3897/neobiota.96.132363.","productDescription":"22 p.","startPage":"151","endPage":"172","ipdsId":"IP-171897","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":490646,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3897/neobiota.96.132363","text":"Publisher Index Page"},{"id":489267,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"John Day River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.88075847388461,\n 45.69676723476786\n ],\n [\n -120.88724466132285,\n 44.11199343230538\n ],\n [\n -118.7532889941624,\n 44.11661864634385\n ],\n [\n -118.77274755647663,\n 45.69676723476786\n ],\n [\n -120.88075847388461,\n 45.69676723476786\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"96","noUsgsAuthors":false,"publicationDate":"2024-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Thompson, Brielle K.","contributorId":355570,"corporation":false,"usgs":false,"family":"Thompson","given":"Brielle K.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":938754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olden, Julian D.","contributorId":338326,"corporation":false,"usgs":false,"family":"Olden","given":"Julian D.","affiliations":[],"preferred":false,"id":938755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":938756,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70261107,"text":"70261107 - 2024 - Urban tick exposure on Staten Island is higher in pet owners","interactions":[],"lastModifiedDate":"2024-11-22T15:14:45.336724","indexId":"70261107","displayToPublicDate":"2024-11-14T09:10:29","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Urban tick exposure on Staten Island is higher in pet owners","docAbstract":"Over the past decade, Lyme and other tick-borne diseases have expanded into urban areas, including Staten Island, New York. While Lyme disease is often researched with a focus on human risk, domestic pets are also at risk of contracting the disease. The present study aims to describe differences in tick exposure, knowledge, attitude, and practices (KAP) between pet owners and non-owners, and to understand preventive strategies practiced by pet owners for themselves and their pets. We conducted KAP surveys via phone in 2020 and via face-to-face interviews in 2021, and we analyzed unique responses from 364 households on Staten Island. Pet owners were more likely to have ever found a tick on themselves or their household members (63%) than non-owners (46%) (p<0.001). Among pet owners, those who owned dogs (dog-only or both dog and cat owners) were more likely to have ever found a tick on their pets than cat-only owners (p<0.001). Compared with non-pet owners, pet owners were more likely both to know that ticks transmit Lyme disease (p<0.001) and to avoid gardening to reduce their tick exposure (p = 0.032), but they were less likely to wear protective clothing or adjust clothing (p = 0.013). Compared with cat owners who had never found a tick on their cats, cat owners who had ever found a tick on their cats were more likely to let their cats go outside (p<0.001). However, reported preventive measures on cats did not differ between pet owners who did and did not report tick exposure. The results indicate that encouraging pet owners to engage in preventative measures, both to protect themselves and their pets, is a potential avenue for healthcare providers and veterinarians to reduce risks from ticks.
","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0311891","usgsCitation":"Tamari, N., Ernst, K.C., Enriquez, A.J., Diuk-Wasser, M.A., Fernandez, M.P., Berry, K., and Hayden, M.H., 2024, Urban tick exposure on Staten Island is higher in pet owners: PLoS ONE, v. 19, no. 11, e0311891, 14 p., https://doi.org/10.1371/journal.pone.0311891.","productDescription":"e0311891, 14 p.","ipdsId":"IP-163077","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":466767,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1371/journal.pone.0311891","text":"Publisher Index Page"},{"id":464429,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Staten Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -74.07806024534273,\n 40.64945423864248\n ],\n [\n -74.13377232924223,\n 40.6425045489959\n ],\n [\n -74.1849038769845,\n 40.64656237310163\n ],\n [\n -74.20398425828141,\n 40.62918760362609\n ],\n [\n -74.19940496676998,\n 40.60891132423919\n ],\n [\n -74.20016818202188,\n 40.5932654181652\n ],\n [\n -74.20550922902615,\n 40.57645749914269\n ],\n [\n -74.21618774927414,\n 40.557911618466875\n ],\n [\n -74.24518909175889,\n 40.5445725375144\n ],\n [\n -74.24289783433477,\n 40.52195507745475\n ],\n [\n -74.25663349242834,\n 40.505711152581995\n ],\n [\n -74.24061360153277,\n 40.49293698728343\n ],\n [\n -74.12842594834439,\n 40.52658443697581\n ],\n [\n -74.04676191639285,\n 40.60369642911499\n ],\n [\n -74.07806024534273,\n 40.64945423864248\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"19","issue":"11","noUsgsAuthors":false,"publicationDate":"2024-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Tamari, Noriko","contributorId":346483,"corporation":false,"usgs":false,"family":"Tamari","given":"Noriko","email":"","affiliations":[{"id":82875,"text":"Department of Epidemiology and Biostatistics, College of Public Health, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":919290,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ernst, Kacey C.","contributorId":346484,"corporation":false,"usgs":false,"family":"Ernst","given":"Kacey","email":"","middleInitial":"C.","affiliations":[{"id":82875,"text":"Department of Epidemiology and Biostatistics, College of Public Health, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":919291,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Enriquez, Aaron Joey 0000-0002-0305-4333","orcid":"https://orcid.org/0000-0002-0305-4333","contributorId":346485,"corporation":false,"usgs":true,"family":"Enriquez","given":"Aaron","email":"","middleInitial":"Joey","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":919292,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diuk-Wasser, Maria A.","contributorId":148025,"corporation":false,"usgs":false,"family":"Diuk-Wasser","given":"Maria","email":"","middleInitial":"A.","affiliations":[{"id":7254,"text":"Columbia University - Lamont Doherty Earth Observatory","active":true,"usgs":false}],"preferred":false,"id":919293,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fernandez, Maria P.","contributorId":346486,"corporation":false,"usgs":false,"family":"Fernandez","given":"Maria","email":"","middleInitial":"P.","affiliations":[{"id":82878,"text":"Paul G. Allen School for Global Health, Washington State University","active":true,"usgs":false}],"preferred":false,"id":919294,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Berry, Kevin","contributorId":346487,"corporation":false,"usgs":false,"family":"Berry","given":"Kevin","email":"","affiliations":[{"id":82879,"text":"Department of Economics, University of Alaska Anchorage","active":true,"usgs":false}],"preferred":false,"id":919295,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hayden, Mary H.","contributorId":148034,"corporation":false,"usgs":false,"family":"Hayden","given":"Mary","email":"","middleInitial":"H.","affiliations":[{"id":6648,"text":"National Center for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":919296,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70261076,"text":"70261076 - 2024 - Assessing predictions from optimal egg theory for an ectotherm relative to habitat duration","interactions":[],"lastModifiedDate":"2025-01-13T16:19:04.407874","indexId":"70261076","displayToPublicDate":"2024-11-13T09:29:18","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17053,"text":"Wildlife Letters","active":true,"publicationSubtype":{"id":10}},"title":"Assessing predictions from optimal egg theory for an ectotherm relative to habitat duration","docAbstract":"Optimal egg size theory predicts females must balance investment per offspring to maximize fitness based on environmental quality. In wetlands, environmental quality can be duration of water and predator presence. Ectotherms using habitats that dry or contain predators are likely under selection to optimize offspring production. We measured reproductive output of wood frogs (Rana sylvatica) in 30 wetlands in Subarctic Canada, where rapid climate changes are accelerating wetland drying. We predicted wetlands with short hydroperiods would have larger ova, smaller clutch sizes, and larger ovum-to-clutch-sizes than wetlands with long hydroperiods or with fish predators. We found partial support for predictions with larger ova in habitats with short hydroperiods and no fish but no evidence of larger clutch sizes in wetlands with fish. Our study implicates changes to wetland hydroperiod as a source of plasticity affecting one aspect of reproductive effort (ovum size) in an ectotherm but not another (clutch size).
","language":"English","publisher":"Wiley","doi":"10.1002/wll2.12046","usgsCitation":"Davenport, J., Feltmann, A., Fishback, L., and Hossack, B., 2024, Assessing predictions from optimal egg theory for an ectotherm relative to habitat duration: Wildlife Letters, v. 2, no. 3, p. 124-130, https://doi.org/10.1002/wll2.12046.","productDescription":"7 p.","startPage":"124","endPage":"130","ipdsId":"IP-159054","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":466769,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wll2.12046","text":"Publisher Index Page"},{"id":464439,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Manitoba","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -94.11271766961161,\n 58.79430825310797\n ],\n [\n -94.11271766961161,\n 58.59950654149819\n ],\n [\n -93.56955321517604,\n 58.59950654149819\n ],\n [\n -93.56955321517604,\n 58.79430825310797\n ],\n [\n -94.11271766961161,\n 58.79430825310797\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"2","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-11-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Davenport, Jon M.","contributorId":126727,"corporation":false,"usgs":false,"family":"Davenport","given":"Jon M.","affiliations":[{"id":6583,"text":"University of Montana, Division of Biological Sciences, Missoula, MT, USA 59812","active":true,"usgs":false}],"preferred":false,"id":919118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feltmann, Andrew","contributorId":346451,"corporation":false,"usgs":false,"family":"Feltmann","given":"Andrew","email":"","affiliations":[{"id":36626,"text":"Appalachian State University","active":true,"usgs":false}],"preferred":false,"id":919119,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fishback, LeeAnn","contributorId":168514,"corporation":false,"usgs":false,"family":"Fishback","given":"LeeAnn","email":"","affiliations":[{"id":25316,"text":"Churchill Northern Studies Centre, P.O. Box 610, Churchill, Manitoba, R0B 0E0, Canada","active":true,"usgs":false}],"preferred":false,"id":919120,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hossack, Blake R. 0000-0001-7456-9564","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":229347,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":919121,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70260886,"text":"70260886 - 2024 - Trimming the UCERF3-TD logic tree: Model order reduction for an earthquake rupture forecast considering loss exceedance","interactions":[],"lastModifiedDate":"2025-03-11T14:49:17.072232","indexId":"70260886","displayToPublicDate":"2024-11-11T08:52:40","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Trimming the UCERF3-TD logic tree: Model order reduction for an earthquake rupture forecast considering loss exceedance","docAbstract":"The Uniform California Earthquake Rupture Forecast version 3-Time Dependent depicts California’s seismic faults and their activity. Its logic tree has 5760 leaves. Considering 30 more model combinations related to ground motion produces 172,800 distinct models representing so-called epistemic uncertainties. To calculate risk to a portfolio of buildings, one also considers millions of earthquakes and spatially correlated ground-motion variability. We offer a tree-trimming technique that retains the probability distribution of portfolio loss and identifies the leading sources of uncertainty for further study. We applied it to a California statewide building portfolio and various levels of nonexceedance probability between one in 100 and one in 2500. We trimmed the logic tree from 172,800 leaves to as few as 15. The result: a supercomputer that would otherwise run 24 h to estimate the distribution of one-in-250-year loss can calculate it in moments with the reduced-order model. Others can use the reduced-order model to calculate risk to different California portfolios, and scientists can prioritize study to reduce the remaining epistemic uncertainty.
","language":"English","publisher":"Sage","doi":"10.1177/87552930241280401","usgsCitation":"Porter, K., Milner, K.R., and Field, E.H., 2024, Trimming the UCERF3-TD logic tree: Model order reduction for an earthquake rupture forecast considering loss exceedance: Earthquake Spectra, v. 41, no. 1, p. 636-653, https://doi.org/10.1177/87552930241280401.","productDescription":"19 p.","startPage":"636","endPage":"653","ipdsId":"IP-161498","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":464026,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-11-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Porter, Keith","contributorId":191074,"corporation":false,"usgs":false,"family":"Porter","given":"Keith","affiliations":[],"preferred":false,"id":918429,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Milner, Kevin R.","contributorId":194141,"corporation":false,"usgs":false,"family":"Milner","given":"Kevin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":918430,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Field, Edward H. 0000-0001-8172-7882 field@usgs.gov","orcid":"https://orcid.org/0000-0001-8172-7882","contributorId":52242,"corporation":false,"usgs":true,"family":"Field","given":"Edward","email":"field@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":918431,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70260845,"text":"70260845 - 2024 - Riparian methylmercury production increases riverine mercury flux and food web concentrations","interactions":[],"lastModifiedDate":"2025-02-07T16:28:17.344914","indexId":"70260845","displayToPublicDate":"2024-11-08T09:57:15","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Riparian methylmercury production increases riverine mercury flux and food web concentrations","docAbstract":"The production and uptake of toxic methylmercury (MeHg) impacts aquatic ecosystems globally. Rivers can be dynamic and difficult systems to study for MeHg production and bioaccumulation, hence identifying sources of MeHg to these systems is both challenging and important for resource management within rivers and main-stem reservoirs. Riparian zones, which are known biogeochemical hotspots for MeHg production, are understudied as potential sources of MeHg to rivers. Here, we present a comprehensive quantification of the hydrologic and biogeochemical processes governing MeHg concentrations, loads, and bioaccumulation at 16 locations along 164 km of the agriculturally intensive Snake River (Idaho, Oregon USA) during summer baseflow conditions, with emphasis on riparian production of MeHg. Approximately one-third of the MeHg load of the Snake River could not be attributed to inflowing waters (upgradient, tributaries, or irrigation drains). Across the study reach, increases in MeHg loads in surface waters were significantly correlated with MeHg concentrations in riparian porewaters, suggesting riparian zones were likely an important source of MeHg to the Snake River. Across all locations, MeHg concentrations in surface waters positively correlated with MeHg concentrations in benthic snails and clams, supporting that riparian produced MeHg was assimilated into local aquatic food webs. This study contributes new insights into riparian MeHg production within rivers which can inform mitigation efforts to reduce MeHg bioaccumulation in fish.
","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.4c08585","usgsCitation":"Krause, V., Baldwin, A.K., Peterson, B.D., Krabbenhoft, D.P., Janssen, S., Willacker, J., Eagles-Smith, C., and Poulin, B., 2024, Riparian methylmercury production increases riverine mercury flux and food web concentrations: Environmental Science & Technology, v. 58, no. 46, p. 20490-20501, https://doi.org/10.1021/acs.est.4c08585.","productDescription":"12 p.","startPage":"20490","endPage":"20501","ipdsId":"IP-168495","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":463875,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":466774,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.4c08585","text":"Publisher Index Page"}],"country":"United States","state":"Idaho, Oregon","otherGeospatial":"Snake River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.76519965515584,\n 44.99304074681157\n ],\n [\n -117.75863076747619,\n 42.94336107731144\n ],\n [\n -116.17776769472738,\n 42.9364463608284\n ],\n [\n -116.25927931073849,\n 44.985691191051046\n ],\n [\n -117.76519965515584,\n 44.99304074681157\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"58","issue":"46","noUsgsAuthors":false,"publicationDate":"2024-11-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Krause, Virginia","contributorId":346163,"corporation":false,"usgs":false,"family":"Krause","given":"Virginia","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":918280,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":918281,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, Benjamin D.","contributorId":328487,"corporation":false,"usgs":false,"family":"Peterson","given":"Benjamin","email":"","middleInitial":"D.","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":918282,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":918283,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":918284,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Willacker, James 0000-0002-6286-5224","orcid":"https://orcid.org/0000-0002-6286-5224","contributorId":221744,"corporation":false,"usgs":true,"family":"Willacker","given":"James","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":918285,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":918286,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Poulin, Brett A.","contributorId":328488,"corporation":false,"usgs":false,"family":"Poulin","given":"Brett A.","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":918287,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70266388,"text":"70266388 - 2024 - Effects of release strategy, source population, and age on reintroduced scaled quail reproduction","interactions":[],"lastModifiedDate":"2025-05-06T15:11:55.444491","indexId":"70266388","displayToPublicDate":"2024-11-08T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Effects of release strategy, source population, and age on reintroduced scaled quail reproduction","docAbstract":"Translocation is one strategy to reestablish populations of scaled quail (Callipepla squamata). Initial reproductive success post-translocation is important for establishing short-lived species such as quail, but factors influencing reproductive success are poorly understood. We evaluated the effect of source population and variation in delayed release strategy (1−9 weeks) on nest initiation and nest survival of wild-caught, translocated scaled quail. We trapped and translocated scaled quail in 2016–2017 from source populations in the Edwards Plateau and Rolling Plains ecoregions of Texas, USA, to a large contiguous (>40,000 ha) release site in Knox County, Texas. We used a multi-state mark-recapture model with state uncertainty to test for effects of release treatment, source population, age, release location, and year on nest initiation and survival. Increased length of holding time decreased re-nesting effort. Yearlings were more likely to initiate nests than adults and the probability of re-nesting was lower during the year with drought conditions. There was no effect of source population on any of the parameters we evaluated. Future scaled quail reintroduction efforts may benefit from prioritizing translocation of yearlings and conducting translocations when drought conditions are not forecasted.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22660","usgsCitation":"Ruzicka, R., Rollins, D., Kendall, W.L., and Doherty, P.F., 2024, Effects of release strategy, source population, and age on reintroduced scaled quail reproduction: Journal of Wildlife Management, v. 88, no. 8, e22660, 15 p., https://doi.org/10.1002/jwmg.22660.","productDescription":"e22660, 15 p.","ipdsId":"IP-163958","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":490103,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22660","text":"Publisher Index Page"},{"id":485451,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","county":"Knox County","otherGeospatial":"Edwards Plateau, Rolling Plains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -100.06618223574085,\n 33.8841524446256\n ],\n [\n -100.06618223574085,\n 33.291492418907126\n ],\n [\n -99.37113169882426,\n 33.291492418907126\n ],\n [\n -99.37113169882426,\n 33.8841524446256\n ],\n [\n -100.06618223574085,\n 33.8841524446256\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"88","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-08-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Ruzicka, Rebekah E.","contributorId":354109,"corporation":false,"usgs":false,"family":"Ruzicka","given":"Rebekah E.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":935800,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rollins, Dale","contributorId":140708,"corporation":false,"usgs":false,"family":"Rollins","given":"Dale","email":"","affiliations":[],"preferred":false,"id":935801,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kendall, William L. 0000-0003-0084-9891","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":204844,"corporation":false,"usgs":true,"family":"Kendall","given":"William","email":"","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":935802,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doherty, Paul F. Jr.","contributorId":37636,"corporation":false,"usgs":false,"family":"Doherty","given":"Paul","suffix":"Jr.","email":"","middleInitial":"F.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":935803,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70260964,"text":"70260964 - 2024 - Depths in a day - A new era of rapid-response Raman-based barometry using fluid inclusions","interactions":[],"lastModifiedDate":"2024-12-10T15:38:41.563856","indexId":"70260964","displayToPublicDate":"2024-11-07T09:57:46","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2420,"text":"Journal of Petrology","active":true,"publicationSubtype":{"id":10}},"title":"Depths in a day - A new era of rapid-response Raman-based barometry using fluid inclusions","docAbstract":"Rapid-response petrological monitoring is a major advance for volcano observatories, allowing them to build and validate models of plumbing systems that supply eruptions in near-real-time. The depth of magma storage has recently been identified as high-priority information for volcanic observatories, yet this information is not currently obtainable via petrological monitoring methods on timescales relevant to eruption response. Fluid inclusion barometry (using micro-thermometry or Raman spectroscopy) is a well-established petrological method to estimate magma storage depths and has been proposed to have potential as a rapid-response monitoring tool, although this has not been formally demonstrated. To address this deficiency, we performed a near-real-time rapid-response simulation for the September 2023 eruption of Kīlauea, Hawaiʻi. We show that Raman-based fluid inclusion barometry can robustly determine reservoir depths within a day of receiving samples — a transformative timescale that has not previously been achieved by petrological methods. Fluid inclusion barometry using micro-thermometric techniques has typically been limited to systems with relatively deep magma storage (>0.4 g/cm3 or >7 km) where measurements of CO2 density are easy and accurate because the CO2 fluid homogenizes into the liquid phase. Improvements of the accuracy of Raman spectroscopy measurements of fluids with low CO2 density over the past couple of decades has enabled measurements of fluid inclusions from shallower magmatic systems. However, one caveat of examining shallower systems is that the fraction of H2O in the fluid may be too high to reliably convert CO2 density to pressure. To test the global applicability of rapid response fluid inclusion barometry, we compiled a global melt inclusion dataset (>4000 samples) and calculate the fluid composition at the point of vapor saturation (XH2O). We show that fluid inclusions in crystal-hosts from mafic compositions (<57 wt. % SiO2) — likely representative of magmas recharging many volcanic systems worldwide — trap fluids with XH2O low enough to make fluid inclusion barometry useful at many of the world’s most active and hazardous mafic volcanic systems (e.g., Iceland, Hawaiʻi, Galápagos Islands, East African Rift, Réunion, Canary Islands, Azores, Cabo Verde).
","language":"English","publisher":"Oxford Academic","doi":"10.1093/petrology/egae119","usgsCitation":"DeVitre, C., Wieser, P.E., Bearden, A.T., Richie, A., Rangel, B., Gleeson, M., Grimsich, J., Lynn, K.J., Downs, D.T., Deligne, N.I., and Mulliken, K.M., 2024, Depths in a day - A new era of rapid-response Raman-based barometry using fluid inclusions: Journal of Petrology, v. 65, no. 11, egae119, 15 p., https://doi.org/10.1093/petrology/egae119.","productDescription":"egae119, 15 p.","ipdsId":"IP-158109","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":466776,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/petrology/egae119","text":"Publisher Index Page"},{"id":464235,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea","geographicExtents":"{\n \"type\": 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Berkeley","active":true,"usgs":false}],"preferred":false,"id":918716,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rangel, Berenise","contributorId":346222,"corporation":false,"usgs":false,"family":"Rangel","given":"Berenise","email":"","affiliations":[{"id":13243,"text":"University of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":918717,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gleeson, Matthew","contributorId":346331,"corporation":false,"usgs":false,"family":"Gleeson","given":"Matthew","email":"","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":918718,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grimsich, John","contributorId":346332,"corporation":false,"usgs":false,"family":"Grimsich","given":"John","email":"","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":918719,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lynn, Kendra J. 0000-0001-7886-4376","orcid":"https://orcid.org/0000-0001-7886-4376","contributorId":290327,"corporation":false,"usgs":true,"family":"Lynn","given":"Kendra","email":"","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":918720,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Downs, Drew T. 0000-0002-9056-1404 ddowns@usgs.gov","orcid":"https://orcid.org/0000-0002-9056-1404","contributorId":173516,"corporation":false,"usgs":true,"family":"Downs","given":"Drew","email":"ddowns@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":918721,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Deligne, Natalia I. 0000-0001-9221-8581","orcid":"https://orcid.org/0000-0001-9221-8581","contributorId":257389,"corporation":false,"usgs":true,"family":"Deligne","given":"Natalia","email":"","middleInitial":"I.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":918722,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mulliken, Katherine M. 0000-0003-4190-5060","orcid":"https://orcid.org/0000-0003-4190-5060","contributorId":217810,"corporation":false,"usgs":false,"family":"Mulliken","given":"Katherine","email":"","middleInitial":"M.","affiliations":[{"id":16126,"text":"Alaska Division of Geological and Geophysical Surveys","active":true,"usgs":false}],"preferred":false,"id":918723,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70261153,"text":"70261153 - 2024 - Greater plasticity in CTmax with increased climate variability among populations of tailed frogs","interactions":[],"lastModifiedDate":"2024-11-26T16:44:54.27144","indexId":"70261153","displayToPublicDate":"2024-11-06T10:41:06","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3173,"text":"Proceedings of the Royal Society B","active":true,"publicationSubtype":{"id":10}},"title":"Greater plasticity in CTmax with increased climate variability among populations of tailed frogs","docAbstract":"Temporally variable climates are expected to drive the evolution of thermal physiological traits that enable performance across a wider range of temperatures (i.e. climate variability hypothesis, CVH). Spatial thermal variability, however, may mediate this relationship by providing ectotherms with the opportunity to behaviourally select preferred temperatures (i.e. the Bogert effect). These antagonistic forces on thermal physiological traits may explain the mixed support for the CVH within species despite strong support among species at larger geographical scales. Here, we test the CVH as it relates to plasticity in physiological upper thermal limits (critical thermal maximum—CTmax) among populations of coastal tailed frogs (Ascaphus truei). We targeted populations that inhabit spatially homogeneous environments, reducing the potentially confounding effects of behavioural thermoregulation. We found that populations experiencing greater temporal thermal variability exhibited greater plasticity in CTmax, supporting the CVH. Interestingly, we identified only one site with spatial temperature variability and tadpoles from this site demonstrated greater plasticity than expected, suggesting the opportunity for behavioural thermoregulation can reduce support for the CVH. Overall, our results demonstrate one role of climate variability in shaping thermal plasticity among populations and provide a baseline understanding of the impact of the CVH in spatially homogeneous thermal landscapes.
","language":"English","publisher":"The Royal Society","doi":"10.1098/rspb.2024.1628","usgsCitation":"Cicchino, A.S., Ghalambor, C.K., Forester, B.R., Dunham, J., and Funk, W., 2024, Greater plasticity in CTmax with increased climate variability among populations of tailed frogs: Proceedings of the Royal Society B, v. 291, no. 2034, 20241628, https://doi.org/10.1098/rspb.2024.1628.","productDescription":"20241628","ipdsId":"IP-169449","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":497360,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11537758/","text":"External Repository"},{"id":464535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"291","issue":"2034","noUsgsAuthors":false,"publicationDate":"2024-11-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Cicchino, Amanda S. 0000-0003-0170-829X","orcid":"https://orcid.org/0000-0003-0170-829X","contributorId":306171,"corporation":false,"usgs":false,"family":"Cicchino","given":"Amanda","email":"","middleInitial":"S.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":919451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ghalambor, Cameron K.","contributorId":93722,"corporation":false,"usgs":false,"family":"Ghalambor","given":"Cameron","email":"","middleInitial":"K.","affiliations":[{"id":6998,"text":"Department of Biology, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":919452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Forester, Brenna R.","contributorId":261215,"corporation":false,"usgs":false,"family":"Forester","given":"Brenna","email":"","middleInitial":"R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":919453,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dunham, Jason 0000-0002-6268-0633","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":220078,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":919454,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Funk, W. Chris 0000-0002-9254-6718","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":189580,"corporation":false,"usgs":false,"family":"Funk","given":"W. Chris","affiliations":[],"preferred":false,"id":919455,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70260668,"text":"70260668 - 2024 - Neogene hydrothermal Fe- and Mn-oxide mineralization of Paleozoic continental rocks, Amerasia Basin, Arctic Ocean","interactions":[],"lastModifiedDate":"2024-11-07T16:21:49.717818","indexId":"70260668","displayToPublicDate":"2024-11-06T09:55:32","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Neogene hydrothermal Fe- and Mn-oxide mineralization of Paleozoic continental rocks, Amerasia Basin, Arctic Ocean","docAbstract":"Rocks dredged from water depths of 1,605, 2,500, 3,300, and 3,400 m in the Arctic Ocean included Paleozoic continental rocks pervasively mineralized during the Neogene by hydrothermal Fe and Mn oxides. Samples were recovered in three dredge hauls from the Chukchi Borderland and one from Mendeleev Ridge north of Alaska and eastern Siberia, respectively. Many of the rocks were so pervasively altered that the protolith could not be identified, while others had volcanic, plutonic, and metamorphic protoliths. The mineralized rocks were cemented and partly to wholly replaced by the hydrothermal oxides. The Amerasia Basin, where the Chukchi Borderland and Mendeleev Ridge occur, supports a series of faults and fractures that serve as major zones of crustal weakness. We propose that the stratabound hydrothermal deposits formed through the flux of hydrothermal fluids along Paleozoic and Mesozoic faults related to block faulting along a rifted margin during minor episodes of Neogene tectonism and were later exposed at the seafloor through slumping or other gravity processes. Tectonically driven hydrothermal circulation most likely facilitated the pervasive mineralization along fault surfaces via frictional heating, hydrofracturing brecciation, and low- to moderate temperature Fe- and Mn-rich hydrothermal fluids, which mineralized the crushed, altered, and brecciated rocks.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023GC010996","usgsCitation":"Hein, J.R., Mizell, K., and Gartman, A., 2024, Neogene hydrothermal Fe- and Mn-oxide mineralization of Paleozoic continental rocks, Amerasia Basin, Arctic Ocean: Geochemistry, Geophysics, Geosystems, v. 25, no. 11, e2023GC010996, 27 p., https://doi.org/10.1029/2023GC010996.","productDescription":"e2023GC010996, 27 p.","ipdsId":"IP-167891","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":466778,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023gc010996","text":"Publisher Index Page"},{"id":463785,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Amerasia basin, Arctic Ocean","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -150,\n 72\n ],\n [\n -179.9,\n 74.5\n ],\n [\n -179.9,\n 85\n ],\n [\n -137.09374278427933,\n 80.73796302105899\n ],\n [\n -115,\n 73\n ],\n [\n -150,\n 72\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 179.9,\n 85\n ],\n [\n 165,\n 85\n ],\n [\n 172,\n 74.5\n ],\n [\n 179.9,\n 74.5\n ],\n [\n 179.9,\n 85\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"25","issue":"11","noUsgsAuthors":false,"publicationDate":"2024-11-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Hein, James R. 0000-0002-5321-899X jhein@usgs.gov","orcid":"https://orcid.org/0000-0002-5321-899X","contributorId":140835,"corporation":false,"usgs":true,"family":"Hein","given":"James","email":"jhein@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":918141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mizell, Kira 0000-0002-5066-787X kmizell@usgs.gov","orcid":"https://orcid.org/0000-0002-5066-787X","contributorId":4914,"corporation":false,"usgs":true,"family":"Mizell","given":"Kira","email":"kmizell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":918142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gartman, Amy 0000-0001-9307-3062 agartman@usgs.gov","orcid":"https://orcid.org/0000-0001-9307-3062","contributorId":177057,"corporation":false,"usgs":true,"family":"Gartman","given":"Amy","email":"agartman@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":918143,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70263425,"text":"70263425 - 2024 - Assessing and implementing the concept of Blue Economy in Laurentian Great Lakes fisheries: Lessons from coupled human and natural systems","interactions":[],"lastModifiedDate":"2025-02-11T15:30:07.537954","indexId":"70263425","displayToPublicDate":"2024-11-06T08:22:22","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":865,"text":"Aquatic Ecosystem Health & Management","active":true,"publicationSubtype":{"id":10}},"title":"Assessing and implementing the concept of Blue Economy in Laurentian Great Lakes fisheries: Lessons from coupled human and natural systems","docAbstract":"Inland fisheries often receive little to no attention in global discussions about sustainable development. The consequences of overlooking inland fisheries in sustainability dialogues are increasingly problematic as fisheries stressors (e.g., overharvest, species invasion, climate change, habitat modification) intensify. Elevating the global profile of inland fisheries requires an approach for quantifying and clearly conveying the ecological, economic, and societal values of these systems. One such approach involves the Blue Economy, a multifaceted concept initially used to describe the intersection of marine conservation and sustainable use of marine resources for economic growth. Although conceptually powerful, the Blue Economy has rarely been applied to inland waters and fisheries. To address this knowledge gap, we conceptualized Laurentian Great Lakes fisheries from a Blue Economy perspective. In particular, we evaluated the utility of the coupled human and natural systems (CHANS) framework for characterizing the ecological, economic, and societal values of Laurentian Great Lakes fisheries and associated contributions to the Blue Economy (e.g., human livelihoods, food security, recreation, conservation, economic prosperity). There are numerous opportunities to leverage CHANS methods (e.g., metacoupling, telecoupling) and associated mathematical models to advance fisheries science, inform fisheries management, and ultimately move toward a Blue Economy in the Laurentian Great Lakes. To that end, we demonstrated applications of CHANS methods, discussed strategies for communicating with stakeholders, and provided insights for navigating challenges to developing a Blue Economy in the Laurentian Great Lakes—a model that could be used in the African Great Lakes and other large ecosystems in the world.","language":"English","publisher":"BioOne","doi":"10.14321/aehm.027.02.74","usgsCitation":"Carlson, A.K., Leonard, N., Munawar, M., and Taylor, W., 2024, Assessing and implementing the concept of Blue Economy in Laurentian Great Lakes fisheries: Lessons from coupled human and natural systems: Aquatic Ecosystem Health & Management, v. 27, no. 2, p. 74-84, https://doi.org/10.14321/aehm.027.02.74.","productDescription":"11 p.","startPage":"74","endPage":"84","ipdsId":"IP-154893","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":481930,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Laurentian Great Lakes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.35414421298296,\n 47.69798628255907\n ],\n [\n -92.55498641328694,\n 46.29425302711437\n ],\n [\n -86.95944652656331,\n 46.00505185703939\n ],\n [\n -88.62282303782777,\n 43.92021164632037\n ],\n [\n -87.50058525109819,\n 41.25347232284972\n ],\n [\n -85.72809349640711,\n 42.11694323111757\n ],\n [\n -85.91733849617773,\n 43.493974004776575\n ],\n [\n -84.89672932891068,\n 44.873597615031386\n ],\n [\n -83.29102906108528,\n 43.6549891230233\n ],\n [\n -83.78159647699495,\n 41.31847374004327\n ],\n [\n -79.95408136104199,\n 41.39215071916226\n ],\n [\n -75.87519895574565,\n 43.702579861752696\n ],\n [\n -79.58470723400637,\n 45.3214766230865\n ],\n [\n -84.23758896005683,\n 48.14783853442674\n ],\n [\n -88.84558873081599,\n 49.05585075889549\n ],\n [\n -91.35414421298296,\n 47.69798628255907\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"27","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Carlson, Andrew Kenneth 0000-0002-6681-0853","orcid":"https://orcid.org/0000-0002-6681-0853","contributorId":340581,"corporation":false,"usgs":true,"family":"Carlson","given":"Andrew","email":"","middleInitial":"Kenneth","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":926955,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leonard, Nancy J.","contributorId":350769,"corporation":false,"usgs":false,"family":"Leonard","given":"Nancy J.","affiliations":[{"id":20304,"text":"Pacific States Marine Fisheries Commission","active":true,"usgs":false}],"preferred":false,"id":926956,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Munawar, Mohiuddin","contributorId":350770,"corporation":false,"usgs":false,"family":"Munawar","given":"Mohiuddin","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":926957,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, William W.","contributorId":350772,"corporation":false,"usgs":false,"family":"Taylor","given":"William W.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":926958,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70261558,"text":"70261558 - 2024 - Insights on arc magmatic systems drawn from natural melt inclusions and crystallization experiments at PH2O=800 MPa under oxidizing conditions","interactions":[],"lastModifiedDate":"2024-12-16T14:12:30.156142","indexId":"70261558","displayToPublicDate":"2024-11-06T06:57:05","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2420,"text":"Journal of Petrology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Insights on arc magmatic systems drawn from natural melt inclusions and crystallization experiments at PH2O=800 MPa under oxidizing conditions","title":"Insights on arc magmatic systems drawn from natural melt inclusions and crystallization experiments at PH2O=800 MPa under oxidizing conditions","docAbstract":"Whole rock compositions at Buldir Volcano, western Aleutian arc, record a strong, continuous trend of iron depletion with decreasing MgO, classically interpreted as a calc-alkaline liquid line of descent. In contrast, olivine-hosted melt inclusions have higher total iron (FeO*) than whole rocks and show little change in FeO* with decreasing MgO. To investigate this discrepancy and determine the conditions required for strong iron depletion, we conducted oxygen fugacity (ƒO2) buffered, water-saturated crystallization experiments at 800 MPa and ƒO2 = QFM + 1.6 ± 0.4 (1σ) (where QFM refers to the quartz-fayalite-magnetite buffer) on a high-Al, basaltic starting material modeled after a Buldir lava. Experimental conditions were informed by olivine-hosted melt inclusions that record minimum entrapment pressures as high as 570 MPa, >6 wt % H2O, and ƒO2 of QFM + 1.4 (±0.2), making Buldir one of the most oxidized and wettest arc volcanoes documented globally. The experiments produce melts with Si-enrichment and Fe-depletion signatures characteristic of evolved, calc-alkaline magmas at the lowest MgO, although FeO* remains roughly constant over most of the experimental temperature range. Experiments saturate CrAl-spinel and olivine at 1160°C, followed by clinopyroxene and Al-spinel at 1085°C, hornblende at 1060°C, and, finally, plagioclase and magnetite between 1040°C and 960°C. Hornblende crystallization, not magnetite, generates the largest increase in SiO2 and largest decrease in FeO* in coexisting melts. Compositions of melt inclusions are consistent with experimental melts and reflect crystallization of a basaltic parent magma at high PH2O. In contrast, the whole rock compositional trends are influenced by magma mixing and phenocryst redistribution and accumulation. The crystallization experiments and natural liquids (melt inclusions and groundmass glass) from Buldir suggest that for an oxidized, hydrous primary basalt starting composition, significant Fe depletion from the melt will not occur until intermediate to late stages of magma crystallization (< ~4.5 wt % MgO). We conclude that the Buldir whole rock trend cannot be reproduced by crystallization at arc-relevant oxygen fugacities and is not a true liquid line of descent, warranting caution when interpreting volcanic trends globally.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/petrology/egae117","usgsCitation":"Andrys, J.L., Cottrell, E., Kelley, K., Waters, L.E., and Coombs, M.L., 2024, Insights on arc magmatic systems drawn from natural melt inclusions and crystallization experiments at PH2O=800 MPa under oxidizing conditions: Journal of Petrology, v. 65, no. 12, egae117, 23 p., https://doi.org/10.1093/petrology/egae117.","productDescription":"egae117, 23 p.","ipdsId":"IP-166029","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":465141,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"65","issue":"12","noUsgsAuthors":false,"publicationDate":"2024-11-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Andrys, Janine L.","contributorId":347200,"corporation":false,"usgs":false,"family":"Andrys","given":"Janine","email":"","middleInitial":"L.","affiliations":[{"id":52668,"text":"Boise State","active":true,"usgs":false}],"preferred":false,"id":921044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cottrell, Elizabeth","contributorId":347203,"corporation":false,"usgs":false,"family":"Cottrell","given":"Elizabeth","affiliations":[{"id":36606,"text":"Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":921045,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelley, Katherine A.","contributorId":347206,"corporation":false,"usgs":false,"family":"Kelley","given":"Katherine A.","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":921046,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waters, Laura E.","contributorId":347209,"corporation":false,"usgs":false,"family":"Waters","given":"Laura","email":"","middleInitial":"E.","affiliations":[{"id":34868,"text":"New Mexico Institute of Mining and Technology","active":true,"usgs":false}],"preferred":false,"id":921047,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coombs, Michelle L. 0000-0002-6002-6806 mcoombs@usgs.gov","orcid":"https://orcid.org/0000-0002-6002-6806","contributorId":2809,"corporation":false,"usgs":true,"family":"Coombs","given":"Michelle","email":"mcoombs@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":921048,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70261872,"text":"70261872 - 2024 - Effect of invasive plant removal on the density of Peromyscus sonoriensis (western deer mice) in Point Reyes National Seashore, California, USA.","interactions":[],"lastModifiedDate":"2025-01-02T14:22:50.155687","indexId":"70261872","displayToPublicDate":"2024-11-01T10:11:30","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1462,"text":"Ecological Restoration","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Effect of invasive plant removal on the density of Peromyscus sonoriensis (western deer mice) in Point Reyes National Seashore, California, USA.","title":"Effect of invasive plant removal on the density of Peromyscus sonoriensis (western deer mice) in Point Reyes National Seashore, California, USA.","docAbstract":"Non-native plants can affect communities through direct competition, and by providing refuge to seed predators, creating apparent competition with native plants. Ammophila arenaria (European beachgrass) has been introduced to coastal dune habitats throughout the western United States where it forms dense monocultures, stabilizes dunes, and alters abiotic and biotic conditions. The dominance of European beachgrass has been linked to declines of Lupinus tidestromii (Tidestrom’s lupine), an herb endemic to coastal dune communities in central and northern California. Peromyscus sonoriensis (western deer mice), a native seed predator, use beachgrass as refuge from predators. Tidestrom’s lupine plants near European beachgrass stands experience greater predation pressure from deer mice. At Point Reyes National Seashore, California, USA (PRNS), mechanical removal, manual pulling, and herbicide treatment have been used to reduce the density of European beachgrass near Tidestrom’s lupine populations. We trapped deer mice at five sites in PRNS that experienced different management regimes and used spatially-explicit capture-recapture models to estimate deer mouse density as a function of site and habitat treatment. We found that deer mouse density was lowest in areas where European beachgrass was mechanically removed and in herbicide-treated foredunes, and highest in areas highly invaded by European beachgrass and Carpobrotus spp. (iceplant). The density of deer mice increased from 2021 to 2022 at every site except one that underwent extensive mechanical removal of European beachgrass from 2010-2011. This study shows enduring effects of European beachgrass removal on the density of a native seed predator and highlights the importance of habitat management for conservation of Tidestrom’s lupine.
","language":"English","publisher":"University of Wisconsin Press","doi":"10.3368/er.42.4.271","usgsCitation":"Rose, J.P., Parsons, L., Kleeman, P.M., and Halstead, B., 2024, Effect of invasive plant removal on the density of Peromyscus sonoriensis (western deer mice) in Point Reyes National Seashore, California, USA.: Ecological Restoration, v. 42, no. 4, p. 271-283, https://doi.org/10.3368/er.42.4.271.","productDescription":"14 p.","startPage":"271","endPage":"283","ipdsId":"IP-157736","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":498258,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3368/er.42.4.271","text":"Publisher Index Page"},{"id":465573,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Point Reyes National Seashore","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.13596190950221,\n 38.24285655590538\n ],\n [\n -123.13596190950221,\n 37.89014364527141\n ],\n [\n -122.65921084771676,\n 37.89014364527141\n ],\n [\n -122.65921084771676,\n 38.24285655590538\n ],\n [\n -123.13596190950221,\n 38.24285655590538\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"42","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-12-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Rose, Jonathan P. 0000-0003-0874-9166 jprose@usgs.gov","orcid":"https://orcid.org/0000-0003-0874-9166","contributorId":199339,"corporation":false,"usgs":true,"family":"Rose","given":"Jonathan","email":"jprose@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":922103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parsons, Lorraine S 0000-0003-1943-037X","orcid":"https://orcid.org/0000-0003-1943-037X","contributorId":333962,"corporation":false,"usgs":false,"family":"Parsons","given":"Lorraine S","affiliations":[{"id":80025,"text":"NPS - Point Reyes National Seashore - PORE","active":true,"usgs":false}],"preferred":false,"id":922104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kleeman, Patrick M. 0000-0001-6567-3239 pkleeman@usgs.gov","orcid":"https://orcid.org/0000-0001-6567-3239","contributorId":3948,"corporation":false,"usgs":true,"family":"Kleeman","given":"Patrick","email":"pkleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":922105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":922106,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70261886,"text":"70261886 - 2024 - Patterns and drivers of cottonwood mortality in the middle Rio Grande, New Mexico, USA","interactions":[],"lastModifiedDate":"2024-12-31T16:05:59.249922","indexId":"70261886","displayToPublicDate":"2024-10-30T11:05:45","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"Patterns and drivers of cottonwood mortality in the middle Rio Grande, New Mexico, USA","docAbstract":"Riparian ecosystems are some of the most valuable and vulnerable on the planet. Riparian tree mortality is increasing in the western United States, where altered streamflows are combining with warming climate. Between 2011 and 2013, one third of an extensive stand of Populus deltoides var. wislizeni (Rio Grande cottonwood) died along the middle Rio Grande on the Pueblo of Santa Ana in New Mexico. Mortality coincided with a severe drought that followed a decade of decreasing streamflow, but it was heterogeneous, with adjacent patches of dead and live trees. The goal of this research was to determine the drivers of mortality to provide insights into future risks of die-off and potential management interventions. We compared tree age, competition, tree-ring widths, sediment particle size and climate influences between live and dead forest patches in a nested plot design. Live and dead trees had similar age, stand density and particle sizes of shallow sediments. Tree-ring widths had the highest correlations with July–September streamflow (1932–2013). All trees had declining ring growth since 1992, coinciding with declining late summer streamflow. An accelerated decline in growth began in 2002, corresponding to recent warmer droughts. Trees that died had lower ring growth 3 years prior to death and in the mid-1900s. Dead trees also had coarser deep sediments 2.4–3.7 m below ground, suggesting that reduced water holding capacity was an important factor for mortality. Water management to increase streamflow during the late summer, especially during times of extended drought, could reduce mortality risk in the face of projected increasingly warm droughts.
","language":"English","publisher":"Wiley","doi":"10.1002/eco.2692","usgsCitation":"Varani, H., Margolis, E.Q., Muldavin, E., and Pockman, W.T., 2024, Patterns and drivers of cottonwood mortality in the middle Rio Grande, New Mexico, USA: Ecohydrology, v. 17, no. 8, e2692, 13 p., https://doi.org/10.1002/eco.2692.","productDescription":"e2692, 13 p.","ipdsId":"IP-164113","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":466793,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/eco.2692","text":"External Repository"},{"id":465568,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New 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