1. Decomposition controls the release of carbon and nutrients from decaying plant litter into soils or the atmosphere. In most biomes decomposition rates can be accurately predicted with simple mathematical models, but these models have long under-predicted decomposition in globally- extensive drylands.
2. We posit that the exposed surface conditions characteristic of drylands makes litter decomposition uniquely subject to microsite-specific environmental controls and spatially-variable microbial communities. As such, decomposition in dryland ecosystems – which are characterized by extremes in temporal heterogeneity of climate conditions and spatial heterogeneity of vegetation cover with corresponding microclimate variability – is a prime example of a macrosystems process that can be addressed by merging field data with new predictive models operating across a hierarchical continuum of spatial scales and process resolutions.
3. A macrosystems approach offers promise to reconcile model-measurement discrepancies by integrating observations and experiments across multiple scales, from microsites (e.g., shrub sub-canopy or intercanopy) to regions (e.g., across a 100s of km2 study site with complex topography, precipitation, and temperature) and ultimately to a continental perspective (e.g., North American drylands).
4. Recent developments in technology and data availability position the scientific community to integrate lab, field, modeling, and remote sensing approaches across a hierarchical range of scales to capture the spatiotemporal distribution of litter and environmental conditions needed to predict decay dynamics at the micro-to-macroscale. This multi-scale approach promises a path forward to resolving a longstanding disconnect between measured and modeled data in dryland litter decomposition.
5. Dryland litter decomposition presents an excellent case study for resolving spatially and temporally complex biogeochemical dynamics through a hierarchical, multidisciplinary macrosystems approach.
6. We focus on dryland litter decomposition, but the hierarchical, multidisciplinary macrosystems approach we outline shows great potential for resolving other spatially and temporally complex biogeochemical processes across a wide range of ecosystems.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2435.70029","usgsCitation":"Throop, H.L., Li, J., Moorhead, D., Reed, S., Todd-Brown, K., Besser, A., Bloom, D., Ingalls, T., and Cueva, A., 2025, Scaling from microsite to landscape to resolve litter decomposition dynamics in globally extensive drylands: Functional Ecology, 11 p., https://doi.org/10.1111/1365-2435.70029.","productDescription":"11 p.","ipdsId":"IP-176124","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":488192,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2435.70029","text":"Publisher Index Page"},{"id":485815,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2025-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Throop, Heather L. 0000-0002-7963-4342","orcid":"https://orcid.org/0000-0002-7963-4342","contributorId":139051,"corporation":false,"usgs":false,"family":"Throop","given":"Heather","email":"","middleInitial":"L.","affiliations":[{"id":12633,"text":"Biology Department, New Mexico State University, Las Cruces, NM","active":true,"usgs":false}],"preferred":false,"id":936890,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, Jiwei","contributorId":355122,"corporation":false,"usgs":false,"family":"Li","given":"Jiwei","affiliations":[{"id":84709,"text":"Arizona State University, Earth and Space Sciences, Tempe, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":936891,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moorhead, Daryl L.","contributorId":355123,"corporation":false,"usgs":false,"family":"Moorhead","given":"Daryl L.","affiliations":[{"id":84710,"text":"Toledo University, Biology Department, Toledo, OH USA","active":true,"usgs":false}],"preferred":false,"id":936892,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reed, Sasha C. 0000-0002-8597-8619","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":205372,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":936893,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Todd-Brown, Katherine","contributorId":197914,"corporation":false,"usgs":false,"family":"Todd-Brown","given":"Katherine","affiliations":[],"preferred":false,"id":936894,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Besser, Alexi","contributorId":355124,"corporation":false,"usgs":false,"family":"Besser","given":"Alexi","affiliations":[{"id":84709,"text":"Arizona State University, Earth and Space Sciences, Tempe, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":936895,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bloom, Dellena","contributorId":355125,"corporation":false,"usgs":false,"family":"Bloom","given":"Dellena","affiliations":[{"id":84713,"text":"University of Florida, Engineering School of Sustainable Infrastructure and Environment, Gainesville, FL USA","active":true,"usgs":false}],"preferred":false,"id":936896,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ingalls, Thomas","contributorId":355126,"corporation":false,"usgs":false,"family":"Ingalls","given":"Thomas","affiliations":[{"id":84709,"text":"Arizona State University, Earth and Space Sciences, Tempe, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":936897,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cueva, Alejandro","contributorId":355127,"corporation":false,"usgs":false,"family":"Cueva","given":"Alejandro","affiliations":[{"id":84714,"text":"El Colegio de la Frontera Sur, Departemento de Ecosistema Ecologico, San Cristobal, Mexico","active":true,"usgs":false}],"preferred":false,"id":936898,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70264859,"text":"70264859 - 2025 - Shortening migration by 4500 km does not affect nesting phenology or increase nest success for black brant (Branta bernicla nigricans) breeding in Arctic and subarctic Alaska","interactions":[],"lastModifiedDate":"2025-03-26T15:30:46.139491","indexId":"70264859","displayToPublicDate":"2025-03-25T10:22:46","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Shortening migration by 4500 km does not affect nesting phenology or increase nest success for black brant (Branta bernicla nigrica) breeding in Arctic and subarctic Alaska","title":"Shortening migration by 4500 km does not affect nesting phenology or increase nest success for black brant (Branta bernicla nigricans) breeding in Arctic and subarctic Alaska","docAbstract":"Since the 1980s, Pacific Black Brant (Branta bernicla nigricans, hereafter brant) have shifted their winter distribution northward from Mexico to Alaska (approximately 4500 km) with changes in climate. Alongside this shift, the primary breeding population of brant has declined. To understand the population-level implications of the changing migration strategy of brant, it is important to connect movement and demographic data. Our objectives were to calculate migratory connectivity, a measure of spatial and temporal overlap during the non-breeding period, for Arctic and subarctic breeding populations of brant, and to determine if variation in migration strategies affected nesting phenology and nest survival.
We derived a migratory network using light-level geolocator migration tracks from an Arctic site (Colville River Delta) and a subarctic site (Tutakoke River) in Alaska. Using this network, we quantified the migratory connectivity of the two populations during the winter. We also compared nest success rates among brant that used different combinations of winter sites and breeding sites.
The two breeding populations were well mixed during the winter, as indicated by a migratory connectivity score close to 0 (− 0.06) at the primary wintering sites of Izembek Lagoon, Alaska (n = 11 brant) and Baja California, Mexico (n = 48). However, Arctic birds were more likely to migrate the shorter distance to Izembek (transition probability = 0.24) compared to subarctic birds (transition probability = 0.09). Nest survival for both breeding populations was relatively high (0.88–0.92), and we did not detect an effect of wintering site on nest success the following year.
Nest survival of brant did not differ among brant that used wintering sites despite a 4500 km difference in migration distances. Our results also suggested that the growing Arctic breeding population is unlikely to compensate for declines in the larger breeding population of brant in the subarctic. However, this study took place in 2011–2014 and wintering at Izembek Lagoon may have greater implications for reproductive success under future climate conditions.
","language":"English","publisher":"Biomed Central","doi":"10.1186/s40462-025-00530-z","usgsCitation":"Matsuoka, T., Patil, V.P., Hupp, J., Leach, A.G., Reed, J., Sedinger, J.S., and Ward, D., 2025, Shortening migration by 4500 km does not affect nesting phenology or increase nest success for black brant (Branta bernicla nigricans) breeding in Arctic and subarctic Alaska: Movement Ecology, v. 13, 21, 13 p., https://doi.org/10.1186/s40462-025-00530-z.","productDescription":"21, 13 p.","ipdsId":"IP-165239","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":488665,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-025-00530-z","text":"Publisher Index Page"},{"id":483879,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Mexico, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -113.81790807363556,\n 25.109390075267115\n ],\n [\n -111.12577320220554,\n 27.35015894013445\n ],\n [\n -120.0723516818312,\n 35.91671872458075\n ],\n [\n -123.33332088662812,\n 40.09627486987472\n ],\n [\n -121.76064748127651,\n 47.98998229927324\n ],\n [\n -130.2791770051045,\n 55.04657100955589\n ],\n [\n -136.74332020250924,\n 60.0900518762904\n ],\n [\n -151.50218954211437,\n 61.77599779101939\n ],\n [\n -149.6269528576101,\n 71.05149390049743\n ],\n [\n -170.1204062110206,\n 69.1137478231604\n ],\n [\n -168.34559408430363,\n 64.82390470369859\n ],\n [\n -168.00886131353556,\n 59.730643122555506\n ],\n [\n -161.62008391184636,\n 54.513433513042116\n ],\n [\n -144.88512099831664,\n 59.17828589453629\n ],\n [\n -135.41036792441935,\n 55.18200025222632\n ],\n [\n -131.56466235414842,\n 51.06113369117236\n ],\n [\n -126.52375383157013,\n 47.127718603387564\n ],\n [\n -125.86832751079751,\n 39.580339094365684\n ],\n [\n -119.94329894845731,\n 31.85072142642305\n ],\n [\n -113.81790807363556,\n 25.109390075267115\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"13","noUsgsAuthors":false,"publicationDate":"2025-03-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Matsuoka, Toshio Doroff 0009-0009-4235-2614","orcid":"https://orcid.org/0009-0009-4235-2614","contributorId":352705,"corporation":false,"usgs":true,"family":"Matsuoka","given":"Toshio Doroff","affiliations":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"preferred":true,"id":932067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patil, Vijay P. 0000-0002-9357-194X vpatil@usgs.gov","orcid":"https://orcid.org/0000-0002-9357-194X","contributorId":203676,"corporation":false,"usgs":true,"family":"Patil","given":"Vijay","email":"vpatil@usgs.gov","middleInitial":"P.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":932068,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hupp, Jerry W. 0000-0002-6439-3910","orcid":"https://orcid.org/0000-0002-6439-3910","contributorId":339472,"corporation":false,"usgs":false,"family":"Hupp","given":"Jerry W.","affiliations":[{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":932069,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leach, Alan G.","contributorId":203591,"corporation":false,"usgs":false,"family":"Leach","given":"Alan","email":"","middleInitial":"G.","affiliations":[{"id":36666,"text":"Department of Natural Resources and Environmental Science, University of Nevada-Reno","active":true,"usgs":false}],"preferred":false,"id":932070,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reed, John 0000-0002-3239-6906","orcid":"https://orcid.org/0000-0002-3239-6906","contributorId":214852,"corporation":false,"usgs":true,"family":"Reed","given":"John","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":932071,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sedinger, James S.","contributorId":84861,"corporation":false,"usgs":false,"family":"Sedinger","given":"James","email":"","middleInitial":"S.","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":932072,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ward, David H.","contributorId":352708,"corporation":false,"usgs":false,"family":"Ward","given":"David H.","affiliations":[{"id":84288,"text":"U.S. Geological Survey Alaska Science Center (Emeritus)","active":true,"usgs":false}],"preferred":false,"id":932073,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70264861,"text":"70264861 - 2025 - Structural analysis of brittle-plastic shear zones in the Sangre de Cristo Range, southern Colorado USA: Superposition of Rio Grande rift extension on Laramide contraction","interactions":[],"lastModifiedDate":"2025-05-28T14:53:12.678207","indexId":"70264861","displayToPublicDate":"2025-03-25T10:05:14","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Structural analysis of brittle-plastic shear zones in the Sangre de Cristo Range, southern Colorado USA: Superposition of Rio Grande rift extension on Laramide contraction","docAbstract":"The Sangre de Cristo Range in southern Colorado exposes some of the deepest Cenozoic structural levels in the Rocky Mountain region, including mylonitic shear zones associated with both the Laramide orogeny and Rio Grande rift. We investigated the relation between Laramide contraction and Rio Grande rift extension with detailed geologic mapping, kinematic analysis, and geochronometry in a 50 km2 area centered on the Independence Mine shear zone (IMSZ). The 15−100-m-thick IMSZ is one of several shallowly to moderately (∼45° ± 20°) W-SW−dipping brittle-plastic shear zones along the western flank of the range. These shear zones display microstructural evidence of initiation as top-NE contractional mylonite zones, consistent with regional Laramide kinematics, which have been pervasively overprinted by shear fabrics indicating top-SW extensional reactivation. Both top-NE and top-SW shear fabrics involve cataclasis and quartz dislocation creep, although top-SW shear is more commonly localized along phyllosilicate-lined shear bands. Shear zones are hosted predominately within Proterozoic gneiss, and contain abundant chlorite and white mica derived from alteration of hornblende and feldspar, which indicates that weakening driven by fluid reactions played an important role in localizing strain. Extensional overprinting appears to be most pervasive along more steeply dipping portions of shear zones and where secondary phyllosilicates form an interconnected weak phase, which suggests that reactivation was primarily controlled by geometry and rheological contrasts inherited from contraction. One top-SW shear zone adjacent to the IMSZ cuts a late Oligocene gabbro stock, and monazite grains synkinematic with top-SW shear in the IMSZ yielded late Oligocene to Early Miocene U-Th-Pb dates that correspond with initiation of the Rio Grande rift. Reactivation of weak reverse faults may represent an important structural control during initial extension in the middle crust, prior to slip along the high-angle Sangre de Cristo normal fault system.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02772.1","usgsCitation":"Sitar, M., Singleton, J.S., Rahl, J., Caine, J., King, J., Kylander-Clark, A.R., and O’Sullivan, P., 2025, Structural analysis of brittle-plastic shear zones in the Sangre de Cristo Range, southern Colorado USA: Superposition of Rio Grande rift extension on Laramide contraction: Geosphere, v. 21, no. 3, p. 446-469, https://doi.org/10.1130/GES02772.1.","productDescription":"24 p.","startPage":"446","endPage":"469","ipdsId":"IP-163394","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":488514,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02772.1","text":"Publisher Index Page"},{"id":483877,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Sangre de Christo Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.75,\n 38.125\n ],\n [\n -105.75,\n 37.5\n ],\n [\n -105.25,\n 37.5\n ],\n [\n -105.25,\n 38.125\n ],\n [\n -105.75,\n 38.125\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"21","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-03-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Sitar, Michael C. 0000-0003-0688-1067","orcid":"https://orcid.org/0000-0003-0688-1067","contributorId":352709,"corporation":false,"usgs":false,"family":"Sitar","given":"Michael C.","affiliations":[{"id":48080,"text":"Colorado State University, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":932081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Singleton, John S. 0000-0001-9399-7732","orcid":"https://orcid.org/0000-0001-9399-7732","contributorId":306242,"corporation":false,"usgs":false,"family":"Singleton","given":"John","email":"","middleInitial":"S.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":932082,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rahl, Jeffrey M. 0000-0002-9195-8294","orcid":"https://orcid.org/0000-0002-9195-8294","contributorId":352710,"corporation":false,"usgs":false,"family":"Rahl","given":"Jeffrey M.","affiliations":[{"id":37754,"text":"Washington and Lee University, Lexington, VA","active":true,"usgs":false}],"preferred":false,"id":932083,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Caine, Jonathan Saul 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":199295,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan Saul","email":"jscaine@usgs.gov","affiliations":[],"preferred":true,"id":932084,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"King, Jacob","contributorId":352711,"corporation":false,"usgs":false,"family":"King","given":"Jacob","affiliations":[{"id":48080,"text":"Colorado State University, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":932085,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kylander-Clark, Andrew R C","contributorId":269776,"corporation":false,"usgs":false,"family":"Kylander-Clark","given":"Andrew","email":"","middleInitial":"R C","affiliations":[{"id":27356,"text":"UC-Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":932086,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"O’Sullivan, Paul","contributorId":352712,"corporation":false,"usgs":false,"family":"O’Sullivan","given":"Paul","affiliations":[{"id":84291,"text":"GeoSep Services, Moscow, ID","active":true,"usgs":false}],"preferred":false,"id":932087,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70268343,"text":"70268343 - 2025 - C4 photosynthesis, trait spectra, and the fast-efficient phenotype","interactions":[],"lastModifiedDate":"2025-06-23T14:52:23.53561","indexId":"70268343","displayToPublicDate":"2025-03-25T09:49:37","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2863,"text":"New Phytologist","active":true,"publicationSubtype":{"id":10}},"displayTitle":"C4 photosynthesis, trait spectra, and the fast-efficient phenotype","title":"C4 photosynthesis, trait spectra, and the fast-efficient phenotype","docAbstract":"It has been 60 years since the discovery of C4 photosynthesis, an event that rewrote our understanding of plant adaptation, ecosystem responses to global change, and global food security. Despite six decades of research, one aspect of C4 photosynthesis that remains poorly understood is how the pathway fits into the broader context of adaptive trait spectra, which form our modern view of functional trait ecology. The C4 CO2-concentrating mechanism supports a general C4 plant phenotype capable of fast growth and high resource-use efficiencies. The fast-efficient C4 phenotype has the potential to operate at high productivity rates, while allowing for less biomass allocation to root production and nutrient acquisition, thereby providing opportunities for the evolution of novel trait covariances and the exploitation of new ecological niches. We propose the placement of the C4 fast-efficient phenotype near the acquisitive pole of the world-wide leaf economic spectrum, but with a pathway-specific span of trait space, wherein selection shapes both acquisitive and conservative adaptive strategies. A trait-based perspective of C4 photosynthesis will open new paths to crop improvement, global biogeochemical modeling, the management of invasive species, and the restoration of disturbed ecosystems, particularly in grasslands.
","language":"English","publisher":"New Phytologist Foundation","doi":"10.1111/nph.70057","usgsCitation":"Monson, R., Li, S., Ainsworth, E.A., Fan, Y., Hodge, J., Knapp, A.K., Leakey, A., Lombardozzi, D., Reed, S., Sage, R.F., Smith, M.D., Smith, N.G., Still, C.J., and Way, D.A., 2025, C4 photosynthesis, trait spectra, and the fast-efficient phenotype: New Phytologist, v. 246, no. 3, p. 879-893, https://doi.org/10.1111/nph.70057.","productDescription":"15 p.","startPage":"879","endPage":"893","ipdsId":"IP-175808","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":496378,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/nph.70057","text":"Publisher Index Page"},{"id":491104,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"246","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Monson, Russell K.","contributorId":357242,"corporation":false,"usgs":false,"family":"Monson","given":"Russell K.","affiliations":[{"id":85357,"text":"Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, Colorado 80309, USA","active":true,"usgs":false}],"preferred":false,"id":940873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, Shuai","contributorId":357243,"corporation":false,"usgs":false,"family":"Li","given":"Shuai","affiliations":[{"id":85358,"text":"Guangdong Provincial Key Lab. of Applied Botany, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, Guangdong, China; Carl R. 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Although several techniques are used to suppress Sea Lamprey, the control program relies heavily on regular application of lampricide to kill stream-dwelling larvae. The COVID-19 pandemic disrupted lampricide application from 2020 to 2022, which provided a unique opportunity to test how Sea Lamprey populations and wound counts on fishes would respond. We evaluated the consequences of decreased control effort at a basin-wide level using standard control program metrics and through a focused analysis of multispecies wounding in Lake Ontario, which experienced the greatest disruption in Sea Lamprey control. The reduction in control effort corresponded to increased basin-wide adult Sea Lamprey abundance but was only weakly associated with Lake Trout Salvelinus namaycush wounding. However, the novel multispecies wounding rate metric calculated for Lake Ontario increased and was consistent with observations by anglers and managers regarding a sharp increase in Sea Lamprey abundance following reduced effort. Ultimately, our research highlights that consistent treatment is critically important for preventing damage stemming from Sea Lamprey and that reductions in suppression could quickly lead to a resurgence in abundance.
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njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":932762,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70269934,"text":"70269934 - 2025 - Responses of larval fish and zooplankton to whole-lake 2,4-D herbicide treatments used to control Eurasian watermilfoil in northern Wisconsin lakes","interactions":[],"lastModifiedDate":"2025-08-07T14:58:32.388642","indexId":"70269934","displayToPublicDate":"2025-03-25T07:47:54","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Responses of larval fish and zooplankton to whole-lake 2,4-D herbicide treatments used to control Eurasian watermilfoil in northern Wisconsin lakes","docAbstract":"In North America, Eurasian watermilfoil Myriophyllum spicatum is one of the most widespread non-native aquatic plant species in freshwater ecosystems. Applications of 2,4-dichlorophenoxyacetic acid (2,4-D) herbicides are often utilized to control Eurasian watermilfoil. Herbicide applications may have unintended effects on non-target organisms like zooplankton and fish, but these effects are poorly understood. Our objectives were to determine if whole-lake 2,4-D herbicide treatments (epilimnetic target rate = 0.3 ppm) used to control Eurasian watermilfoil affected (1) density, diversity, and size of zooplankton and (2) density, diversity, and growth of larval fishes in three northern Wisconsin lakes when compared to trends observed in three untreated reference lakes. Average peak concentrations of 2,4-D following applications ranged from 0.152 to 0.257 ppm. We found no statistically significant evidence that the applications influenced the zooplankton and larval fish metrics we examined, but subtle responses to the herbicides may not have been detected given the inherent variation in our response metrics. Additional replication and research are needed to assess responses to higher concentrations and repeated applications over time and to document responses across a broader range of lake types and fish communities.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s10750-024-05698-w","usgsCitation":"Rydell, N., VanDeHey, J., Dembkowski, D., Gauthier, K., Van Egeren, S., Kubitz, J.A., Naumann, T.R., and Isermann, D.A., 2025, Responses of larval fish and zooplankton to whole-lake 2,4-D herbicide treatments used to control Eurasian watermilfoil in northern Wisconsin lakes: Hydrobiologia, v. 852, p. 2769-2786, https://doi.org/10.1007/s10750-024-05698-w.","productDescription":"18 p.","startPage":"2769","endPage":"2786","ipdsId":"IP-155041","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":493709,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","county":"Oneida County, Vilas County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -90.04240173435862,\n 46.27854767707535\n ],\n [\n -90.04240173435862,\n 45.62776439323994\n ],\n [\n -89.31466895402599,\n 45.62776439323994\n ],\n [\n -89.31466895402599,\n 46.27854767707535\n ],\n [\n -90.04240173435862,\n 46.27854767707535\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"852","noUsgsAuthors":false,"publicationDate":"2025-03-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Rydell, Nicholas","contributorId":359357,"corporation":false,"usgs":false,"family":"Rydell","given":"Nicholas","affiliations":[{"id":675,"text":"Wisconsin Cooperative Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":945177,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"VanDeHey, Justin","contributorId":191463,"corporation":false,"usgs":false,"family":"VanDeHey","given":"Justin","affiliations":[],"preferred":false,"id":945178,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dembkowski, Daniel","contributorId":348816,"corporation":false,"usgs":false,"family":"Dembkowski","given":"Daniel","affiliations":[{"id":33303,"text":"University of Wisconsin Stevens Point","active":true,"usgs":false}],"preferred":false,"id":945179,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gauthier, Kevin","contributorId":359358,"corporation":false,"usgs":false,"family":"Gauthier","given":"Kevin","affiliations":[],"preferred":false,"id":945180,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Van Egeren, Scott","contributorId":359359,"corporation":false,"usgs":false,"family":"Van Egeren","given":"Scott","affiliations":[],"preferred":false,"id":945181,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kubitz, Jody A.","contributorId":175430,"corporation":false,"usgs":false,"family":"Kubitz","given":"Jody","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":945182,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Naumann, Terry R.","contributorId":61652,"corporation":false,"usgs":true,"family":"Naumann","given":"Terry","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":945183,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":944988,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70265266,"text":"70265266 - 2025 - No magmatic driving force for Europan sea-floor volcanism","interactions":[],"lastModifiedDate":"2025-05-28T14:55:26.641908","indexId":"70265266","displayToPublicDate":"2025-03-24T15:17:37","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6448,"text":"Nature Astronomy","active":true,"publicationSubtype":{"id":10}},"title":"No magmatic driving force for Europan sea-floor volcanism","docAbstract":"The internal ocean of Jupiter’s moon Europa is thought to be a prime candidate for hosting extraterrestrial life. Europa’s silicate interior may contribute to habitability via the generation of reactants through hydrothermal activity, serpentinization, or other geological processes occurring on or just below Europa’s seafloor. However, silicate melting is thought to occur at >100 km depth in Europa’s mantle and it is unknown if this magma is able to penetrate and travel through the moon’s likely thick, brittle lithosphere to erupt at the seafloor. Here we combine previous modeling approaches to Europan interior melt generation and lithospheric dyke transport to show that Europan seafloor volcanism is strongly inhibited by its lithosphere. The low stress state of the Europan interior hinders the ability of dykes to penetrate through the lithosphere. Should dykes form, they penetrate <5% of the 200–250 km-thick lithosphere. Low mantle melt fractions (3–5%) drive sluggish pore-space magma flow, leading to dyke influxes 10,000 times lower than that necessary for seafloor eruption. These results strongly suggest that models of Europan habitability reliant on present-day volcanism at its seafloor are implausible.","language":"English","publisher":"Springer Nature","doi":"10.1038/s41550-025-02508-8","usgsCitation":"Green, A., Elder, C., Bland, M., Tackley, P., and Byrne, P., 2025, No magmatic driving force for Europan sea-floor volcanism: Nature Astronomy, v. 9, p. 640-649, https://doi.org/10.1038/s41550-025-02508-8.","productDescription":"10 p.","startPage":"640","endPage":"649","ipdsId":"IP-163125","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":484178,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Europa","volume":"9","noUsgsAuthors":false,"publicationDate":"2025-03-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Green, A.P.","contributorId":352969,"corporation":false,"usgs":false,"family":"Green","given":"A.P.","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":932638,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elder, Catherine","contributorId":331017,"corporation":false,"usgs":false,"family":"Elder","given":"Catherine","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":932627,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bland, Michael Thomas 0000-0001-5543-1519","orcid":"https://orcid.org/0000-0001-5543-1519","contributorId":352963,"corporation":false,"usgs":true,"family":"Bland","given":"Michael Thomas","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":932628,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tackley, Paul","contributorId":352966,"corporation":false,"usgs":false,"family":"Tackley","given":"Paul","affiliations":[{"id":12483,"text":"ETH Zurich","active":true,"usgs":false}],"preferred":false,"id":932629,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Byrne, Paul K.","contributorId":237950,"corporation":false,"usgs":false,"family":"Byrne","given":"Paul K.","affiliations":[{"id":47656,"text":"Planetary Research Group, Department of Marine, Earth, and Atmospheric Sciences, North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":932630,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70264759,"text":"fs20253006 - 2025 - Fiber-optic distributed temperature sensing of hydrologic processes—Diverse deployments and new applications by the U.S. Geological Survey","interactions":[],"lastModifiedDate":"2025-03-25T13:57:23.669017","indexId":"fs20253006","displayToPublicDate":"2025-03-24T14:45:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-3006","displayTitle":"Fiber-Optic Distributed Temperature Sensing of Hydrologic Processes—Diverse Deployments and New Applications by the U.S. Geological Survey","title":"Fiber-optic distributed temperature sensing of hydrologic processes—Diverse deployments and new applications by the U.S. Geological Survey","docAbstract":"Fiber-optic distributed temperature sensing instruments harness the temperature-dependent properties of glass to measure temperature continuously along optical fibers by using precise pulses of laser light. In the mid-2000s, this technology was refined for environmental monitoring purposes such as snowpack-air exchange, groundwater/surface-water exchange, and lake-water stratification. Fiber-optic distributed temperature sensing has revealed unprecedented details about preferential flow processes; however, the method is labor intensive and requires specific training, resulting in limited use by the broader water community. With the ongoing national implementation of the U.S. Geological Survey Next Generation Water Observing System, there has been renewed interest in harnessing the unique spatiotemporal monitoring capabilities of fiber-optic distributed temperature sensing. This fact sheet briefly describes this technology, highlights uses by the U.S. Geological Survey, and discusses current applications and future opportunities.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20253006","programNote":"Groundwater and Streamflow Information Program","usgsCitation":"Briggs, M.A., Rey, D.M., Opatz, C.C., Terry, N.C., Newman, C.P., Gruhn, L.R., and Johnson, C.D., 2025, Fiber-optic distributed temperature sensing of hydrologic processes—Diverse deployments and new applications by the U.S. Geological Survey: U.S. Geological Survey Fact Sheet 2025–3006, 6 p., https://doi.org/10.3133/fs20253006.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-163064","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":483673,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2025/3006/coverthb.jpg"},{"id":483674,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3006/fs20253006.pdf","text":"Report","size":"17.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-3006 PDF"},{"id":483675,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20253006/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2025-3006 HTML"},{"id":483676,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2025/3006/fs20253006.XML","linkFileType":{"id":8,"text":"xml"},"description":"FS 2025-3006 XML"},{"id":483677,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2025/3006/images/"}],"contact":"Program Manager, Next Generation Water Observing System
Water Resources Mission Area
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192
The security and economic stability of the United States rely heavily on robust lifeline infrastructure systems and yet the risks to such systems are seldom quantified at the national scale. For example, while earthquake risks to buildings in the United States have been investigated at the national scale regularly, such risks to gas pipelines have rarely been investigated nationally. In this paper, we use examples from two critical infrastructure sectors to demonstrate (1) the nature of earthquake risks to lifeline infrastructure systems, (2) complexities involved in regional seismic risk assessments, and (3) how such risks change with time. We found that bridge risks can be underestimated by at least 64 % when viewed from repair costs instead of traffic demands and that regional risks can be underestimated by 19 % when spatial correlations of ground motion are ignored. Further, exceedance of traffic demand can be 50 times more likely to occur when viewed at the regional scale than when viewed at an individual bridge. Similarly, exceedance of repairs can be 180 times more likely to occur when viewed at the pipeline network level than at a segment-specific level. Finally, sensitivity analyses with the 2018 and 2023 USGS National Seismic Hazard Models indicate an increase in bridge risk of at least 24 % and an increase in exposed gas pipeline mileage of 43 %. The evolution of risks, complexities involved in assessments, and limited resources jointly underscore the need for more routine updates to nationwide seismic risk assessments of lifeline systems in the United States.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijcip.2025.100758","usgsCitation":"Kwong, N.S., and Jaiswal, K.S., 2025, Assessing earthquake risks to lifeline infrastructure systems in the United States: International Journal of Critical Infrastructure Protection, v. 49, 100758, https://doi.org/10.1016/j.ijcip.2025.100758.","productDescription":"100758","ipdsId":"IP-170667","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":484841,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","noUsgsAuthors":false,"publicationDate":"2025-03-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Kwong, N. Simon 0000-0003-3017-9585","orcid":"https://orcid.org/0000-0003-3017-9585","contributorId":241863,"corporation":false,"usgs":true,"family":"Kwong","given":"N.","email":"","middleInitial":"Simon","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":934185,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jaiswal, Kishor S. 0000-0002-5803-8007 kjaiswal@usgs.gov","orcid":"https://orcid.org/0000-0002-5803-8007","contributorId":149796,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor","email":"kjaiswal@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":934186,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70266111,"text":"70266111 - 2025 - The importance of sampling design for unbiased estimation of survival using joint live-recapture and live resight models","interactions":[],"lastModifiedDate":"2025-04-25T15:31:50.116638","indexId":"70266111","displayToPublicDate":"2025-03-24T10:29:01","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":21214,"text":"Peer Community Journal","active":true,"publicationSubtype":{"id":10}},"title":"The importance of sampling design for unbiased estimation of survival using joint live-recapture and live resight models","docAbstract":"Survival is a key life history parameter that can inform management decisions and basic life history research. Because true survival is often confounded with emigration from the study area, many studies are forced to estimate apparent survival (i.e., probability of surviving and remaining inside the study area), which can be much lower than true survival for highly mobile species. One method for estimating true survival is the Barker joint live-recapture/live-resight (JLRLR) model, which combines capture data from a study area (hereafter the ‘capture site’) with resighting data from a broader geographic area. This model assumes that live resights occur throughout the entire area where animals can disperse to and this assumption is often not met in practice. Here we use simulation to evaluate survival bias from a JLRLR model under study design scenarios that differ in the site selection for resights: global, random, fixed including the capture site, and fixed excluding the capture site. Simulation results indicate that fixed designs that included the capture site showed negative survival bias, whereas fixed designs that excluded the capture site exhibited positive survival bias. The magnitude of the bias was dependent on movement and survival, where scenarios with high survival and frequent movement had minimal bias. In an effort to help minimize bias, we developed a multistate version of the JLRLR and demonstrated reductions in survival bias compared to the single-state version for most designs. Our results suggest minimizing bias can be accomplished by: 1) using a random resight design when feasible if global sampling is not possible, 2) using the multistate JLRLR model when appropriate, 3) including the capture site in the resight sampling frame when possible, and 4) reporting survival as apparent survival if fixed sites are used for resight with the single state JLRLR model.
","language":"English","publisher":"PeerJ","doi":"10.24072/pcjournal.533","usgsCitation":"Dzul, M.C., Yackulic, C., and Kendall, W.L., 2025, The importance of sampling design for unbiased estimation of survival using joint live-recapture and live resight models: Peer Community Journal, v. 5, e34, 24 p., https://doi.org/10.24072/pcjournal.533.","productDescription":"e34, 24 p.","ipdsId":"IP-158705","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":487775,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.24072/pcjournal.533","text":"Publisher Index Page"},{"id":485061,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","noUsgsAuthors":false,"publicationDate":"2025-03-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Dzul, Maria C. 0000-0002-4798-5930 mdzul@usgs.gov","orcid":"https://orcid.org/0000-0002-4798-5930","contributorId":5469,"corporation":false,"usgs":true,"family":"Dzul","given":"Maria","email":"mdzul@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":934618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":934619,"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":934620,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70265081,"text":"70265081 - 2025 - Planting seeds for thriving data management","interactions":[],"lastModifiedDate":"2025-04-01T15:28:49.893757","indexId":"70265081","displayToPublicDate":"2025-03-24T10:27:20","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7602,"text":"Eos, American Geophysical Union","active":true,"publicationSubtype":{"id":10}},"title":"Planting seeds for thriving data management","docAbstract":"The volumes and varieties of data coming from all types of scientific instrumentation around the globe and beyond are rapidly growing. To reuse and capitalize on these data effectively, scientists must be able to share and access them efficiently, which requires the data to be well managed. \nMany scientists intuit that research data management (RDM) done well does not mean using dusty USB drives or aging laptops for storage. Yet the path to strong data management is not always clear. How is RDM done? Who does it? 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geochronology","title":"Bayesian calibration of the 40K decay scheme with implications for 40K-based geochronology","docAbstract":"The K/Ar and 40Ar/39Ar geochronometers are based on the naturally occurring radionuclide 40K. Their precision and accuracy are limited by uncertainties on the 40K decay constants and, in the case of the 40Ar/39Ar geochronometer, the isotopic composition of neutron fluence monitors. To address these limitations, we introduce a Bayesian calibration of the 40K decay scheme. We formulate robust priors for all model parameters including partial 40K decay constants, 238U and 235U decay constants, and age offset parameters to account for phenomena that can perturb apparent U-Pb and 40Ar/39Ar ages. We then harness a set of complementary 40Ar/39Ar, 238U/206Pb, and 235U/207Pb data from well- characterized geological samples with ages from 1.919 ka to 2000 Ma to derive Bayesian estimates of the 40K decay constants. Posterior values for the partial 40K decay constants are
Moderate-resolution (30-m) national map products have limited capacity to represent fine-scale, heterogeneous urban forms and processes, yet improvements from incorporating higher resolution predictor data remain rare. In this study, we applied random forest models to high-resolution land cover data for 71 U.S. urban areas, moderate-resolution National Land Cover Database (NLCD) Tree Canopy Cover (TCC), and additional explanatory climatic and structural data to develop an enhanced urban TCC dataset for U.S. urban areas. With a coefficient of determination (R2) of 0.747, our model estimated TCC within 3% for 62 urban areas and added 13.4% more city-level TCC on average, compared to the native NLCD TCC product. Cross validations indicated model stability suitable for building a national-scale TCC dataset (median R2 of 0.752, 0.675, and 0.743 for 1,000-fold cross validation, urban area leave-one-out cross validation, and cross validation by Census block group median year built, respectively). Additionally, our model code can be used to improve moderate-resolution TCC in other parts of the world where high-resolution land cover data have limited spatiotemporal availability.
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Center","active":true,"usgs":true}],"preferred":true,"id":932047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":932048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heris, Mehdi 0000-0002-4418-5030","orcid":"https://orcid.org/0000-0002-4418-5030","contributorId":248592,"corporation":false,"usgs":false,"family":"Heris","given":"Mehdi","affiliations":[{"id":12652,"text":"University of Colorado-Denver","active":true,"usgs":false}],"preferred":false,"id":932049,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ibsen, Peter Christian 0000-0002-3436-9100","orcid":"https://orcid.org/0000-0002-3436-9100","contributorId":260735,"corporation":false,"usgs":true,"family":"Ibsen","given":"Peter","email":"","middleInitial":"Christian","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":932050,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schleeweis, Karen","contributorId":169308,"corporation":false,"usgs":false,"family":"Schleeweis","given":"Karen","email":"","affiliations":[{"id":6679,"text":"US Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":932051,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":932052,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Troy, Austin","contributorId":139102,"corporation":false,"usgs":false,"family":"Troy","given":"Austin","email":"","affiliations":[{"id":12652,"text":"University of Colorado-Denver","active":true,"usgs":false}],"preferred":false,"id":932053,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Megown, Kevin","contributorId":140260,"corporation":false,"usgs":false,"family":"Megown","given":"Kevin","email":"","affiliations":[{"id":7134,"text":"USFS","active":true,"usgs":false}],"preferred":false,"id":932054,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"O'Neil-Dunne, Jarlath P.M.","contributorId":352303,"corporation":false,"usgs":false,"family":"O'Neil-Dunne","given":"Jarlath P.M.","affiliations":[{"id":84167,"text":"Spatial Analysis Laboratory, Rubenstein School of Environment & Natural Resources, University of Vermont","active":true,"usgs":false}],"preferred":false,"id":932055,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70265863,"text":"70265863 - 2025 - Properties of solid bitumen formed during hydrous, anhydrous, and brine pyrolysis of oil shale: Implications for solid bitumen reflectance in source-rock reservoirs","interactions":[],"lastModifiedDate":"2025-04-17T15:18:25.844259","indexId":"70265863","displayToPublicDate":"2025-03-24T08:13:27","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Properties of solid bitumen formed during hydrous, anhydrous, and brine pyrolysis of oil shale: Implications for solid bitumen reflectance in source-rock reservoirs","docAbstract":"Solid bitumen reflectance (BRo in %) is widely used as a thermal maturity proxy in source-rock reservoirs, yet solid bitumen texture and physical attributes may be affected by varying environmental constraints during its formation, e.g., water saturation, mineral catalysis, or salinity. Herein we investigated the development of solid bitumen properties during artificial maturation using three diverse (lacustrine to marine) oil shale samples containing abundant amorphous H-rich sedimentary organic matter (bituminite). The oil shales were treated via pyrolysis (320 °C, 72 h) using hydrous, anhydrous, and brine conditions, causing the development of a newly formed solid bitumen in the experiment residues from the thermal conversion of bituminite. The properties of the newly formed solid bitumen then were evaluated via geochemical screening tests, optical and electron microscopy, and infrared spectroscopy. Experimental residues also were treated via solvent extraction, allowing characterization of the effects of extraction on solid bitumen. Results showed that bituminite with higher resin and asphaltene components evolved to a solid bitumen with higher reflectance (as a percentage of the original value) when exposed to the same heat treatment, relative to bituminite with higher saturate and aromatic components. Aromatization of solid bitumen also was generally more pronounced in the presence of deionized water relative to anhydrous conditions, supporting prior observations. These results suggest the compositions of primary sedimentary organic matter, and the local concentration of water, affect the development of solid bitumen during thermal advance, potentially explaining the origin of multiple solid bitumen populations with varying reflectance in source-rock reservoir samples or in a single microscope field. Experiments using brine were inconclusive regarding enhanced/decreased aromatization, which could be attributed to the salinities of the brines used in the tests. Extraction of residues caused a consistent increase in BRo values, suggesting that migrating or expelled oils could cause an increase in BRo via natural solvation and absent an increase in temperature. This work provides insights into the development and evolution of BRo in source-rock reservoirs as a function of the composition of the original bituminite and changing environmental conditions, with potentially broad application for petroleum prospecting and resource estimation.
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Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":933772,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":933773,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70265612,"text":"70265612 - 2025 - Ranking river basins for stream temperature research and monitoring in the contiguous United States","interactions":[],"lastModifiedDate":"2025-04-14T16:30:55.176106","indexId":"70265612","displayToPublicDate":"2025-03-23T09:24:20","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Ranking river basins for stream temperature research and monitoring in the contiguous United States","docAbstract":"There is a need to prioritize research and data collection in river basins by integrating information from environmental, ecological, and socioeconomic datasets to maintain acceptable water quality for human uses and ecosystem health. Multiple anthropogenic and natural stressors are responsible for driving changes in stream temperatures that can alter ecosystems and degrade water quality. These stressors are variable spatially and temporally, which can be challenging for prioritizing monitoring and research. In this study, an evaluation of variables related to stream temperature was performed for 163 candidate basins of the contiguous United States to highlight potential focal areas. Thirty variables were combined in six components: anthropogenic forcing, natural forcing, climate change, ecological sensitivity, socioeconomic sensitivity, and data availability. The components were incorporated into three themes: vulnerability of streams to thermal change, vulnerability of ecosystems, and vulnerability of communities. By evaluating each theme separately, patterns of vulnerability and potential resiliency were identified as well as consistency in ranks within the themes. For example, results of the national scale ranking indicated the Southern California Coastal basin (within California-Nevada region) was the highest-ranking priority in vulnerability of streams to thermal change and vulnerability of ecosystems. The analysis also identified vulnerable basins with gaps in monitoring. For example, the Missouri-Oahe basin (within the Northern High Plains region) was the highest-ranking priority for vulnerable communities with limitations in data availability. The ranking approach provides insight into basins that are resilient and are ideal candidates for monitoring and research.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2025.133163","usgsCitation":"Naranjo, R.C., Johnson, Z., Lucas, L., Baker, N.T., and Green, C., 2025, Ranking river basins for stream temperature research and monitoring in the contiguous United States: Journal of Hydrology, v. 658, 133163, 15 p., https://doi.org/10.1016/j.jhydrol.2025.133163.","productDescription":"133163, 15 p.","ipdsId":"IP-157155","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":488228,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2025.133163","text":"Publisher Index Page"},{"id":484513,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": 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0000-0002-7979-5744","orcid":"https://orcid.org/0000-0002-7979-5744","contributorId":222870,"corporation":false,"usgs":true,"family":"Baker","given":"Nancy","email":"","middleInitial":"T.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":933111,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Green, Christopher 0000-0002-6480-8194","orcid":"https://orcid.org/0000-0002-6480-8194","contributorId":201642,"corporation":false,"usgs":true,"family":"Green","given":"Christopher","email":"","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":933112,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70265789,"text":"70265789 - 2025 - Optimizing per vessel hour capture efficiency for rare, heterogeneously distributed fishes: Invasive grass carp Ctenopharyngodon idella in the Sandusky River","interactions":[],"lastModifiedDate":"2025-04-16T14:26:35.866043","indexId":"70265789","displayToPublicDate":"2025-03-23T09:18:33","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Optimizing per vessel hour capture efficiency for rare, heterogeneously distributed fishes: Invasive grass carp Ctenopharyngodon idella in the Sandusky River","title":"Optimizing per vessel hour capture efficiency for rare, heterogeneously distributed fishes: Invasive grass carp Ctenopharyngodon idella in the Sandusky River","docAbstract":"Natural resources management is often concerned with conserving rare-native or controlling rare-invasive fishes. Informing and assessing conservation and control efforts frequently requires information from captures. When little is understood about spatial and temporal fish distributions, captures can be infrequent and costly. If successful management depends on effective management response, optimizing for efficiency may be the difference between success and failure. We compared per vessel hour capture efficiencies for invasive grass carp (Ctenopharyngodon idella) between two methods: electrofishing-only (electrofishing) and in combination with a trammel net (combination). Capture and effort information including 174 captures from 1853 capture attempts from 1706 total hours of effort in the Sandusky River, OH, USA from 2020–2023 was used to fit a generalized linear model. Captures were allowed to vary by river kilometer, month, and year to account for unequal capture rates and effort. Captures were offset by total vessel hours or the count of independent efforts to compare methods that prioritize detection at a single location (e.g., combination) to methods that prioritize exploiting more locations (e.g., electrofishing). Including trammel nets was intended to increase single site detection, but we found that electrofishing-only was at least 2.4x more efficient (catch per vessel hour) than when combined with a trammel net with no significant difference in catch per removal effort. Complex methods intended to increase single site detection may reduce the number of efforts completed. Therefore, overall capture efficiency and total capture numbers for rare fish may be increased through methods that prioritize per-hour efficiency.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2025.107344","usgsCitation":"Hunter, R., Qian, S.S., Fischer, J., Brown, R., Nathan, L., Dettmers, J., Roberts, J., Hilling, C.D., Acre, M.R., Mapes, R., Young, R., and Mayer, C.M., 2025, Optimizing per vessel hour capture efficiency for rare, heterogeneously distributed fishes: Invasive grass carp Ctenopharyngodon idella in the Sandusky River: Fisheries Research, v. 285, 107344, 10 p., https://doi.org/10.1016/j.fishres.2025.107344.","productDescription":"107344, 10 p.","ipdsId":"IP-170360","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":484638,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United states","state":"Ohio","otherGeospatial":"Muddy Creek Bay, Sandusky River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.9,\n 41.5\n ],\n [\n -83.25,\n 41.5\n ],\n [\n -83.25,\n 41.3\n ],\n [\n -82.9,\n 41.3\n ],\n [\n -82.9,\n 41.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"285","noUsgsAuthors":false,"publicationDate":"2025-03-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Hunter, Robert Daniel 0000-0002-6021-4479","orcid":"https://orcid.org/0000-0002-6021-4479","contributorId":352475,"corporation":false,"usgs":true,"family":"Hunter","given":"Robert Daniel","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":933532,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qian, Song S. 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Toledo","active":true,"usgs":false}],"preferred":false,"id":933543,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70264814,"text":"70264814 - 2025 - New paleomagnetic constraints on the eruption timing, stratigraphy, and post-emplacement deformation of the Picture Gorge Basalt within the Columbia River Basalt Group","interactions":[],"lastModifiedDate":"2025-05-12T17:23:12.440493","indexId":"70264814","displayToPublicDate":"2025-03-23T08:08:10","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7167,"text":"Journal of Geophysical Research: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"New paleomagnetic constraints on the eruption timing, stratigraphy, and post-emplacement deformation of the Picture Gorge Basalt within the Columbia River Basalt Group","docAbstract":"The Picture Gorge Basalt (PGB) is part of the Miocene Columbia River Basalt Group (CRBG).\nThe PGB, which outcrops in eastern Oregon, is considered coincident in time with the voluminous Grande Ronde Basalt. New radiometric ages have expanded the age‐range of the PGB, suggesting it began erupting prior to the Steens Basalt to its south and continued until after cessation of the Grande Ronde Basalt eruptions, an interval of 1.5 Ma. However, the existing paleomagnetism of the PGB implies this eruption timeline is an overestimate. To reconcile the radiometric and paleomagnetic timescales for the PGB, we conducted a paleomagnetic study on sections of the PGB to construct a detailed, high‐quality magnetostratigraphy. Our data indicate the stratigraphically lowest lava flows in the PGB are of reversed polarity, revealing a new paleomagnetic transition with the PGB and a reversed (R)–normal (N)–reversed (R) sequence. This suggests one of two timeline possibilities for PGB volcanism: (a) eruptions began and during through CRBG polarity chrons R0–N0–R1, penecontemporaneous with Steens Basalt, or (b) eruptions began and persisted during CRBG polarity chrons R1–N1–R2. Our work supports a longer interval of PGB volcanism than was suggested by previous paleomagnetic data but is at odds with the suggestion that PGB eruptions lasted through the entire main CRBG. We favor a scenario wherein PGB eruptions begin with R0 and continue into the R1 paleomagnetic interval. The paleomagnetic results also record a ∼18° vertical‐axis rotation of east‐central Oregon after ∼16 Ma with respect to stable North America.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JB030728","usgsCitation":"Pivarunas, A.F., Avery, M.S., Hagstrum, J.T., Bennett, S.E., and Calvert, A.T., 2025, New paleomagnetic constraints on the eruption timing, stratigraphy, and post-emplacement deformation of the Picture Gorge Basalt within the Columbia River Basalt Group: Journal of Geophysical Research: Solid Earth, v. 130, no. 3, e2024JB030728, 22 p., https://doi.org/10.1029/2024JB030728.","productDescription":"e2024JB030728, 22 p.","ipdsId":"IP-164403","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":483811,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Picture Gorge Basalt","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.78165767306925,\n 45.33100443084706\n ],\n [\n -120.78165767306925,\n 44.91041597686524\n ],\n [\n -120.04351223849272,\n 44.91041597686524\n ],\n [\n -120.04351223849272,\n 45.33100443084706\n ],\n [\n -120.78165767306925,\n 45.33100443084706\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"130","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-03-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Pivarunas, Anthony Francis 0000-0002-0003-2059","orcid":"https://orcid.org/0000-0002-0003-2059","contributorId":301014,"corporation":false,"usgs":true,"family":"Pivarunas","given":"Anthony","email":"","middleInitial":"Francis","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":931816,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Avery, Margaret Susan 0000-0002-8504-7072","orcid":"https://orcid.org/0000-0002-8504-7072","contributorId":329991,"corporation":false,"usgs":true,"family":"Avery","given":"Margaret","email":"","middleInitial":"Susan","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":931817,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hagstrum, Jonathan T. 0000-0002-0689-280X jhag@usgs.gov","orcid":"https://orcid.org/0000-0002-0689-280X","contributorId":3474,"corporation":false,"usgs":true,"family":"Hagstrum","given":"Jonathan","email":"jhag@usgs.gov","middleInitial":"T.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":931818,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bennett, Scott E.K. 0000-0002-9772-4122 sekbennett@usgs.gov","orcid":"https://orcid.org/0000-0002-9772-4122","contributorId":5340,"corporation":false,"usgs":true,"family":"Bennett","given":"Scott","email":"sekbennett@usgs.gov","middleInitial":"E.K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":931819,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Calvert, Andrew T. 0000-0001-5237-2218 acalvert@usgs.gov","orcid":"https://orcid.org/0000-0001-5237-2218","contributorId":2694,"corporation":false,"usgs":true,"family":"Calvert","given":"Andrew","email":"acalvert@usgs.gov","middleInitial":"T.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":931820,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70269982,"text":"70269982 - 2025 - Predicting invasiveness of freshwater fishes imported into North America: Regional differences in models and outcomes","interactions":[],"lastModifiedDate":"2025-08-07T15:54:16.040989","indexId":"70269982","displayToPublicDate":"2025-03-22T10:47:29","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Predicting invasiveness of freshwater fishes imported into North America: Regional differences in models and outcomes","docAbstract":"Biological invasions driven by international trade heighten the urgency for development of invasion risk models, as the traits and parameters that consistently predict successful invasion remain unresolved. For four regions of North America that include parts of the United States and Canada (Sacramento-San Joaquin River Basins, Lower Colorado River Basin, Great Lakes Region, Mid-Atlantic Region), we construct and compare classification tree models to reveal robust predictors for the establishment and ecological impact stages of freshwater fish invasion. We subsequently apply the models to identify invasive fish species in trade and conduct pathway analyses to determine which trades (aquarium, biological supply, live bait, live food, water garden) and source continents pose the greatest risk to each region. Model results differed by invasion stage and region. Across regions, establishment models shared climate-related predictors including climate match and temperature tolerance. Three of the four impact models contained prior establishment success. The greatest number of species (548) were predicted to establish in the Sacramento-San Joaquin while the fewest (5) were predicted to establish in the Mid-Atlantic. Forty species were predicted to establish in multiple regions, five of which were also predicted to have high impact. The aquarium trade and Asia supplied the most species predicted to establish. Taken together, the results highlight region-specific models, indicating no universal model predicts invasion. Climate-related and prior establishment variables were most useful to risk assessments. The regional models, and identified high-risk pathways and potential invaders, could be applied to prevent future fish invasions in North America.
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Alabama","active":true,"usgs":false}],"preferred":false,"id":945123,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gantz, Crysta A.","contributorId":359288,"corporation":false,"usgs":false,"family":"Gantz","given":"Crysta A.","affiliations":[{"id":39516,"text":"University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":945124,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mandrak, Nicholas E.","contributorId":359290,"corporation":false,"usgs":false,"family":"Mandrak","given":"Nicholas E.","affiliations":[{"id":67687,"text":"University of Toronto Scarborough","active":true,"usgs":false}],"preferred":false,"id":945125,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Angermeier, Paul L. 0000-0003-2864-170X","orcid":"https://orcid.org/0000-0003-2864-170X","contributorId":204519,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":945126,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Marchetti, Michael P.","contributorId":359295,"corporation":false,"usgs":false,"family":"Marchetti","given":"Michael P.","affiliations":[{"id":85769,"text":"St. Mary's College of California","active":true,"usgs":false}],"preferred":false,"id":945127,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Olden, Julian D.","contributorId":338326,"corporation":false,"usgs":false,"family":"Olden","given":"Julian D.","affiliations":[],"preferred":false,"id":945128,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lodge, David M.","contributorId":275315,"corporation":false,"usgs":false,"family":"Lodge","given":"David M.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":945129,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70266168,"text":"70266168 - 2025 - Predicting bat roosts in bridges using Bayesian Additive Regression Trees","interactions":[],"lastModifiedDate":"2025-04-30T14:55:09.773729","indexId":"70266168","displayToPublicDate":"2025-03-22T08:11:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Predicting bat roosts in bridges using Bayesian Additive Regression Trees","docAbstract":"Human-built structures can provide important habitat for wildlife, but predicting which structures are most likely to be used remains challenging. To evaluate the predictive capabilities of data-driven ensemble modeling approaches, we conducted surveys for bats and signs of bat use, such as urine and guano staining, at bridges across the southwestern United States. We developed a bat roost discovery tool using Bayesian Additive Regression Trees (BART) and evaluated the predictive ability of this model against other commonly used approaches. We found that the lack of nearby water resources was associated with a lower predicted probability of bat presence or signs of bat use at bridges. While the presence of nearby water resources was associated with higher average predicted probability of bat presence or signs of bat use, high uncertainty surrounding these estimates indicates that other factors also play a role in determining which bridge roosts bats are more likely to use. As such, our model could be particularly useful for predicting which bridges can be excluded from survey efforts due to low probability of bat presence or signs of bat use. We extrapolated our model to unsurveyed bridges across the study region and provide an interactive dashboard application interface for the exploration of these results. Overall, this study demonstrates the application of BART as a predictive tool for prioritizing future bridge surveys for bats roosting in transportation structures.","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2025.e03551","usgsCitation":"Oram, J., Wray, A.K., Davis, H.T., de Wit, L., Frick, W.F., Hoegh, A.B., Irvine, K.M., Pollock, P., Schuhmann, A.N., Tousley, F.C., and Reichert, B., 2025, Predicting bat roosts in bridges using Bayesian Additive Regression Trees: Global Ecology and Conservation, v. 60, e03551, 12 p., https://doi.org/10.1016/j.gecco.2025.e03551.","productDescription":"e03551, 12 p.","ipdsId":"IP-176127","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":490934,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14HVQHW","text":"USGS data release","linkHelpText":"North American Bat Monitoring Program (NABat) OneHealth (ver. 2.0, June 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models","docAbstract":"The Southeastern United States has many lakes, streams, and reservoirs that serve as important drinking water sources with recreational, agricultural, and ecological uses. However, harmful algal blooms (HABs) are becoming more common in these waters, causing health issues for humans and animals. HABs have been listed as a contaminant of emerging concern, and the magnitude, frequency, and duration of HABs appear to be increasing at the global scale. While it is well known that nutrients stimulate algae growth, it is not clear how climate change and other parameters stimulate the development of toxin production by HABs. The scientific literature describes parameters, such as storm occurrence, temperature, dissolved metals, erosion of soils, increasing length of growing season, discharge, and hydroperiod, that may affect algae growth and toxin production. Climate and hydrologic models address many of the physical and environmental parameters that influence HABs, but no climate models directly address HABs. This report compiles information from the existing literature pertaining to HABs and the modeling and forecasting of HABS. This compilation is done through the incorporation of climate change models. HAB research that involves climate change will require multiple disciplines that bring together ecologists, hydrologists, climatologists, engineers, economists, and new technology. Resource managers could use geographic data about the occurrence and distribution of HABs to develop models that identify waterbodies more vulnerable to HAB events. Development of such models will require teams capable of integrating biological, chemical, and physical factors. Model development will require additional research that can resolve anthropogenic and climate-related environmental factors to identify trends in freshwater HABs. The complexity and interconnectedness of the parameters that influence HAB occurrences will make model development challenging and require rigorous regional calibration.
Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park, Suite 100
Nashville, TN 37211
Contact Us- USGS Publications Warehouse
","tableOfContents":"A piscicide delivery method was designed to selectively target Black Carp Mylopharyngodon piceus, an invasive fish species in North America, which possesses pharyngeal teeth adapted for crushing mollusk prey. Many North American mollusks exist in small, fragmented populations susceptible to local extirpation. A Black Carp-selective toxic bait deployed properly could be used to protect those populations. Results represent initial efforts to construct an effective single-dose species-selective toxic bait. We prepared a bait by attaching a glass vial containing toxicant (antimycin A) to the exterior of a Corbicula fluminea clam valve. We designed the vial to break from the force of the fish’s pharyngeal teeth when attempting to crush and consume the clam. We tested suitable vial sizes for encapsulating piscicide and two attachment materials, an aquarium epoxy and ultraviolet light-cured attachment material. The aquarium epoxy was rigid and reinforced vials. The ultraviolet light-cured attachment material was softer, resulting in more vials broken at 3- and 24-h post feeding. In a second trial, toxic baits consisting of antimycin A piscicide were administered in pure ethanol and acetone carriers to Black Carp in assembled baits with vials attached to live clam valves at three concentrations (40.0 mg/mL in ethanol, 170.8 mg/mL and 341.5 mg/mL in acetone). We selected aquarium epoxy for assembled baits based on the bond between the epoxy and glass vial, which allowed a greater surface area to be exposed and broken. While Black Carp successfully broke vials containing piscicide, no treatment caused carp mortality. The delivery method was unsuccessful as a single dose antimycin A piscicide bait for Black Carp. Additional considerations for this approach are provided.
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