Many conservation actions must be implemented with limited data. This is especially true when planning recovery efforts for extirpated populations, such as grizzly bears (Ursus arctos) within the Bitterroot Ecosystem (BE), where strategies for reestablishing a resident population are being evaluated. Here, we applied individual-based movement models developed for a nearby grizzly bear population to predict habitat use in and near the BE, under scenarios of natural recolonization, reintroduction, and a combination. All simulations predicted that habitat use by grizzly bears would be higher in the northern half of the study area. Under the natural recolonization scenario, use was concentrated in Montana, but became more uniform across the northern BE in Idaho over time. Use was more concentrated in east-central Idaho under the reintroduction scenario. Assuming that natural recolonization continues even if bears are reintroduced, use remained widespread across the northern half of the BE and surrounding areas. Predicted habitat maps for the natural recolonization scenario aligned well with outlier and GPS collar data available for grizzly bears in the study area, with Spearman rank correlations of ≥0.93 and mean class values of ≥9.1 (where class 10 was the highest relative predicted use; each class 1–10 represented 10% of the landscape). In total, 52.4% of outlier locations and 79% of GPS collar locations were in class 10 in our predicted habitat maps for natural recolonization. Simulated grizzly bears selected habitats over a much larger landscape than the BE itself under all scenarios, including multiple-use and private lands, similar to existing populations that have expanded beyond recovery zones. This highlights the importance of recognizing and planning for the role of private lands in recovery efforts, including understanding resources needed to prevent and respond to human-grizzly bear conflict and maintain public acceptance of grizzly bears over a large landscape.
The effort to map terrestrial biodiversity, in recent years limited mostly to the use of broadband multispectral remote sensing at decameter scales, can be greatly enhanced by harnessing hyperspectral imagery. Interpretation of hyperspectral imagery may be aided by the Mixture Residual (MR) spectral preprocessing transformation. MR integrates the benefits of spectral mixture analysis with the absorption peak-enhancing characteristics of continuum removal. MR characterizes each pixel as a linear combination of generic end-members estimating the spectral continuum, from which the residual of each wavelength is computed and treated as a source of additional information. Using Hyperspectral Precursor of the Application Mission (PRISMA) imagery, we tested the ability of MR-transformed reflectance as compared to untransformed surface reflectance (SR) to map plant associations and land cover using ground truthing and random forest classifications across four landscapes within the North American Coastal Plain. We used a forward stepwise selection algorithm to choose bands for each classification and subsequently compared these between SR and MR. Our MR classifications distinguished land cover with 5% greater balanced accuracy on average than the SR-based classifications across all four landscapes. The MR-based classification that integrated data from all landscapes into a unified model encompassing all 21 land cover types achieved a 76% average balanced accuracy over three iterations. Generally, MR utilized the near-infrared region to a greater degree than SR while deemphasizing the green peak. Based on our results, MR improves the accuracy of mapping terrestrial biodiversity, likely extending to other current and planned satellite hyperspectral missions.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JG008217","usgsCitation":"Rogers, J.A., Robertson, K.M., Hawbaker, T., and Sousa, D.J., 2024, Classifying plant communities in the North American Coastal Plain with PRISMA spaceborne hyperspectral imagery and the spectral mixture residual: JGR Biogeosciences, v. 129, no. 9, e2024JG008217, 19 p., https://doi.org/10.1029/2024JG008217.","productDescription":"e2024JG008217, 19 p.","ipdsId":"IP-165238","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":439180,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024jg008217","text":"Publisher Index Page"},{"id":433495,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"129","issue":"9","noUsgsAuthors":false,"publicationDate":"2024-09-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Rogers, Jennifer A.","contributorId":244616,"corporation":false,"usgs":false,"family":"Rogers","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":912306,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robertson, Kevin M.","contributorId":298157,"corporation":false,"usgs":false,"family":"Robertson","given":"Kevin","email":"","middleInitial":"M.","affiliations":[{"id":36874,"text":"Tall Timbers Research Station","active":true,"usgs":false}],"preferred":false,"id":912307,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":568,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":912308,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sousa, Daniel J.","contributorId":343899,"corporation":false,"usgs":false,"family":"Sousa","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":16253,"text":"Department of Geography, San Diego State University","active":true,"usgs":false}],"preferred":false,"id":912309,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70263063,"text":"70263063 - 2024 - Modeling regional occupancy of fishes using acoustic telemetry: A model comparison framework applied to lake trout","interactions":[],"lastModifiedDate":"2025-01-29T16:01:54.585935","indexId":"70263063","displayToPublicDate":"2024-09-03T08:56:19","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":773,"text":"Animal Biotelemetry","active":true,"publicationSubtype":{"id":10}},"title":"Modeling regional occupancy of fishes using acoustic telemetry: A model comparison framework applied to lake trout","docAbstract":"Acoustic telemetry is a common tool used in fisheries management to estimate fish space use (i.e., occupancy) from a local habitat scale to entire systems. Numerous analytical models have been developed to estimate different aspects of fish movement from telemetry datasets, yet evaluations of model performance and comparisons among models are limited. Here, we develop a framework to evaluate model estimates of regional occupancy in large and fragmented systems using an acoustic receiver array in Lake Champlain. We simulated the tracks of 100 acoustically tagged fish using a random walk function and created detection events based on receiver positions and distance-based detection probability. Regional occupancy for the simulated data was estimated by six movement models that ranged in analytical complexity, and results were compared to the true distributions for each simulated track to evaluate model error. The six movement models included: (1) a basic residency index using detections alone; (2) a residency index using last-observation-carried-forward; (3) a centers of activity model; (4) linear and non-linear interpolations (i.e., least-cost paths); and (5 and 6) two dynamic Brownian bridge movement models generated using separate packages in R. We developed a model selection process to compare model performance and select the optimal analysis based on simulation error. This process showed significant differences in model performance among the six movement models based on model error. Overall, the model generating least-cost paths using linear and non-linear interpolations consistently provided the most accurate regional occupancy estimates. Based on these simulation results, we applied this model to a case study that evaluated patterns in the regional distribution of stocked lake trout (Salvelinus namaycush) in Lake Champlain, which demonstrated distinct regional occupancy of two stocked lake trout groups. These results demonstrate potential for large variability in interpretation of acoustic telemetry data for describing regional fish distribution dependent on the analytical method used.
","language":"English","publisher":"Springer Nature","doi":"10.1186/s40317-024-00380-3","usgsCitation":"Futia, M., Binder, T., Henderson, M., and Marsden, J., 2024, Modeling regional occupancy of fishes using acoustic telemetry: A model comparison framework applied to lake trout: Animal Biotelemetry, v. 12, 25, 16 p., https://doi.org/10.1186/s40317-024-00380-3.","productDescription":"25, 16 p.","ipdsId":"IP-164562","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":489756,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40317-024-00380-3","text":"Publisher Index Page"},{"id":481459,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"New York, Vermont","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.45559820823414,\n 45.14081170765235\n ],\n [\n -73.45559820823414,\n 44.25840593080014\n ],\n [\n -73.1040357082343,\n 44.25840593080014\n ],\n [\n -73.1040357082343,\n 45.14081170765235\n ],\n [\n -73.45559820823414,\n 45.14081170765235\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2024-09-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Futia, Matthew H.","contributorId":350119,"corporation":false,"usgs":false,"family":"Futia","given":"Matthew H.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":925424,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Binder, Thomas R.","contributorId":350120,"corporation":false,"usgs":false,"family":"Binder","given":"Thomas R.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":925425,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henderson, Mark J. 0000-0002-2861-8668 mhenderson@usgs.gov","orcid":"https://orcid.org/0000-0002-2861-8668","contributorId":198609,"corporation":false,"usgs":true,"family":"Henderson","given":"Mark J.","email":"mhenderson@usgs.gov","affiliations":[],"preferred":false,"id":925426,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marsden, J. Ellen","contributorId":350121,"corporation":false,"usgs":false,"family":"Marsden","given":"J. Ellen","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":925427,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70267192,"text":"70267192 - 2024 - Managing climate-change refugia to prevent extinctions","interactions":[],"lastModifiedDate":"2025-05-16T14:57:09.795431","indexId":"70267192","displayToPublicDate":"2024-09-03T07:50:35","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3653,"text":"Trends in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Managing climate-change refugia to prevent extinctions","docAbstract":"Earth is facing simultaneous biodiversity and climate crises. Climate-change refugia – areas that are relatively buffered from climate change – can help address both of these problems by maintaining biodiversity components when the surrounding landscape no longer can. However, this capacity to support biodiversity is often vulnerable to severe climate change and other stressors. Thus, management actions need to consider the complex and multidimensional nature of refugia. We outline an approach to understand refugia-promoting processes and to evaluate refugial capacity to determine suitable management actions. Our framework applies climate-change refugia as tools to facilitate resistance in modern conservation planning. Such refugia-focused management can reduce extinctions and maintain biodiversity under climate change.","language":"English","publisher":"Elsevier","doi":"10.1016/j.tree.2024.05.002","usgsCitation":"Keppel, G., Stralberg, D., Morelli, T.L., and Bátori, Z., 2024, Managing climate-change refugia to prevent extinctions: Trends in Ecology and Evolution, v. 39, no. 9, p. 800-808, https://doi.org/10.1016/j.tree.2024.05.002.","productDescription":"9 p.","startPage":"800","endPage":"808","ipdsId":"IP-164505","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":488994,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.tree.2024.05.002","text":"Publisher Index Page"},{"id":486066,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Keppel, Gunnar","contributorId":355400,"corporation":false,"usgs":false,"family":"Keppel","given":"Gunnar","affiliations":[{"id":63022,"text":"University of South Australia","active":true,"usgs":false}],"preferred":false,"id":937227,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stralberg, Diana","contributorId":355401,"corporation":false,"usgs":false,"family":"Stralberg","given":"Diana","affiliations":[{"id":13540,"text":"Canadian Forest Service","active":true,"usgs":false}],"preferred":false,"id":937228,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morelli, Toni Lyn 0000-0001-5865-5294 tmorelli@usgs.gov","orcid":"https://orcid.org/0000-0001-5865-5294","contributorId":197458,"corporation":false,"usgs":true,"family":"Morelli","given":"Toni","email":"tmorelli@usgs.gov","middleInitial":"Lyn","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":937229,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bátori, Zoltán","contributorId":355404,"corporation":false,"usgs":false,"family":"Bátori","given":"Zoltán","affiliations":[{"id":84741,"text":"MTA-SZTE","active":true,"usgs":false}],"preferred":false,"id":937230,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70258400,"text":"70258400 - 2024 - Current and future potential net greenhouse gas sinks of existing, converted, and restored marsh and mangrove forest habitats","interactions":[],"lastModifiedDate":"2024-11-22T16:01:42.116926","indexId":"70258400","displayToPublicDate":"2024-09-03T07:16:33","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Current and future potential net greenhouse gas sinks of existing, converted, and restored marsh and mangrove forest habitats","docAbstract":"Marsh and mangrove forest habitats are productive at capturing and storing carbon, thus actions to protect and create coastal blue carbon sinks could help mitigate global warming. Dredged material is often used to create coastal habitats and evaluating the carbon impact of placement alternatives (PA) could help inform restoration and climate policies. Output from a Delft3D-FM morphodynamics and hydrodynamics model informed a Coastal Wetlands Carbon Model at years 2020, 2025, 2030, and 2050. Three model simulations were used and included (1) no restoration (PA1), (2) restoration dominated with mangroves (PA2), and (3) restoration dominated with marshes (PA3) at a different location. Habitats of brackish marsh, saline marsh, mangrove forest, and saline open water that surround Port Fourchon, Louisiana, U.S.A., were evaluated to estimate the net greenhouse gas (GHG) flux of the study area with and without restoration. In years 2020 and 2025, the study area was estimated to be a net GHG sink (−1.1 ± 0.2 MMT CO2e) with or without mangrove and marsh-dominated restoration. At years 2030 and 2050, even with habitat loss due to sea-level rise, the study area for all simulations was projected to remain a net GHG sink. At year 2050, +0.1 ± 0.04 MMT CO2e could be avoided with restoration. At the restoration project scale, mangrove-dominated restoration (PA2) had net GHG sinks (−0.07 to −0.09 MMT CO2e) near the marsh-dominated restoration (PA3, −0.09 to −0.13 MMT CO2e). Thus, these modeled results could help inform future restoration planning and climate policies.
A detailed analysis is made of horizontal-component geomagnetic-disturbance data acquired at the Colaba observatory in India recording the Carrington magnetic storm of September 1859. Prior to attaining its maximum absolute value, disturbance at Colaba increased with an e-folding timescale of 0.46 hr (28 min). Following its maximum, absolute disturbance at Colaba decreased as a trend having an e-folding timescale of 0.31 hr (19 min). Both of these timescales are much shorter than those characterizing the drift period of ring-current ions. Furthermore, over one 28-min interval when absolute disturbance was increasing, the data indicate an absolute rate of change of ≥2,436 nT/hr. If this is representative of disturbance generated by a symmetric magnetospheric ring current, then, assuming a standard and widely used parameterization, an interplanetary electric field of ≥451 mV/m is indicated. An idealized and extreme solar-wind dynamic pressure could, conceivably, reduce this bound on the interplanetary electric field to ≥202 mV/m. If the parameterization for electric-field extrapolation is accurate, but the field strengths obtained are deemed implausible, then it can be concluded that the Colaba disturbance data were significantly affected by partial-ring, field-aligned, or ionospheric currents. The same conclusion is supported by the shortness of the e-folding timescales characterizing the Colaba data. Several prominent studies of the Carrington event need to be reconsidered.
As climate change effects intensify, key life history events may become decoupled from necessary biotic and abiotic resources. For species of management concern on Department of Defense (DoD) lands, these shifts in phenology may prove difficult to address without a mechanistic understanding of the drivers of such changes. We sought to determine the causes and effects of phenological shifts on species of management concern by using observational and experimental data to develop and test population viability models. Our objectives were to (i) identify the patterns and drivers of adult breeding and juvenile emigration phenology for four pond-breeding salamanders (three of management concern), (ii) determine how shifts in phenology and abiotic resources affect the strength of species interactions, community structure, and population viability, and (iii) provide management options to mitigate shifts in phenology that may impact ongoing conservation and recovery efforts.
","language":"English","publisher":"U.S. Department of Defense","collaboration":"Department of Defense; Virginia Tech; Southern Illinois University-Edwardsville; Appalachian State Univerisity","usgsCitation":"Walls, S., Anderson, T.L., Chandler, H.C., Haas, C.A., and Davenport, J., 2024, Predicting the persistence of salamanders: consequences of phenological shifts for species of management concern on DoD lands, xiii, 91 p.","productDescription":"xiii, 91 p.","ipdsId":"IP-154081","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":463014,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://serdp-estcp.mil/projects/details/de8539d8-7234-4de2-878b-04a3e7299b1a/rc-2703-project-overview"},{"id":463067,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Walls, Susan 0000-0001-7391-9155","orcid":"https://orcid.org/0000-0001-7391-9155","contributorId":215987,"corporation":false,"usgs":true,"family":"Walls","given":"Susan","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":916226,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Thomas L.","contributorId":345296,"corporation":false,"usgs":false,"family":"Anderson","given":"Thomas","email":"","middleInitial":"L.","affiliations":[{"id":82537,"text":"Southern Illinois University-Edwardsville","active":true,"usgs":false}],"preferred":false,"id":916227,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chandler, Houston C.","contributorId":342515,"corporation":false,"usgs":false,"family":"Chandler","given":"Houston","email":"","middleInitial":"C.","affiliations":[{"id":13223,"text":"The Orianne Society","active":true,"usgs":false}],"preferred":false,"id":916228,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haas, Carola A.","contributorId":208321,"corporation":false,"usgs":false,"family":"Haas","given":"Carola","email":"","middleInitial":"A.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":916229,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":916230,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70258360,"text":"70258360 - 2024 - Field evidence and indicators of rockfall fragmentation and implications for mobility","interactions":[],"lastModifiedDate":"2024-09-12T16:04:51.215235","indexId":"70258360","displayToPublicDate":"2024-09-02T10:57:41","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1517,"text":"Engineering Geology","active":true,"publicationSubtype":{"id":10}},"title":"Field evidence and indicators of rockfall fragmentation and implications for mobility","docAbstract":"Rockfall fragmentation can play an important role in hazard studies and the design of protective measures. However, the current lack of modeling tools that incorporate rock fragmentation mechanics is a limitation to enhancing studies and design. This research investigates the fragmentation patterns of rockfalls and analyzes the resulting distribution of fragment sizes within corresponding rockfall deposits. We focus on small rock fragments, which provide insights into the dynamics of the rockfall event and can be used as input for numerical modeling. We analyzed multiple rockfall events from locations worldwide, each exhibiting different degrees of fragmentation. Using image analysis techniques, we mapped all visible blocks, determined their volumes, and measured the distances they travelled from the initial point of impact. A key finding is the identification of three indicators of fragmentation. First, in cases where fragmentation was largely absent, we observed a trend of increasing block size with distance from the impact point or source area, which aligns with previously published findings. However, for energetic rockfall events characterized by intense fragmentation, we observed that small fragments exhibited longer travel distances compared to larger fragments. This distinction allowed us to differentiate blocks primarily resulting from the disaggregation process from those primarily resulting from dynamic fragmentation, with implications for rockfall mobility. Second, although the size distribution of rockfall deposits exhibits a power-law scaling for volumes larger than a minimum size threshold corresponding to a rollover of the distribution, in some case studies a deviation from power-law scaling is observed, indicating a process of larger block comminution due to fragmentation. Third, we found that rockfalls with fragmentation experience reduced mobility, indicated by higher reach angles, and higher lateral dispersion showing a wider distribution of trajectories. We interpret these findings as being directly related to the energy-consuming nature of fragmentation, which prevents farther deposition of fragmented rock blocks.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.enggeo.2024.107704","usgsCitation":"Lanfranconi, C., Frattini, P., Agliardi, F., Stock, G., Collins, B.D., and Crosta, G., 2024, Field evidence and indicators of rockfall fragmentation and implications for mobility: Engineering Geology, v. 341, 107704, 12 p., https://doi.org/10.1016/j.enggeo.2024.107704.","productDescription":"107704, 12 p.","ipdsId":"IP-160330","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":439183,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.enggeo.2024.107704","text":"Publisher Index Page"},{"id":433726,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy, Spain, United States","otherGeospatial":"Albacete province, Lombardy and Aosta Valley, Yosemite Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.40498598096391,\n 37.996770255188224\n ],\n [\n -119.78568594637449,\n 37.996770255188224\n ],\n [\n -119.78568594637449,\n 37.63413555838606\n ],\n [\n -119.40498598096391,\n 37.63413555838606\n ],\n [\n -119.40498598096391,\n 37.996770255188224\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -3.5237842061546587,\n 39.68290638930071\n ],\n [\n -3.5237842061546587,\n 38.24179400633358\n ],\n [\n -1.1280470860284026,\n 38.24179400633358\n ],\n [\n -1.1280470860284026,\n 39.68290638930071\n ],\n [\n -3.5237842061546587,\n 39.68290638930071\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 9.742159374123617,\n 46.11807976228562\n ],\n [\n 9.388215590374983,\n 46.49704686652848\n ],\n [\n 9.09799180759498,\n 46.045503409166685\n ],\n [\n 9.742159374123617,\n 46.11807976228562\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 7.976964758618351,\n 45.93915403253479\n ],\n [\n 6.939210992173656,\n 45.870007281448494\n ],\n [\n 6.836917315316299,\n 45.60855601713632\n ],\n [\n 7.340113180386737,\n 45.23120602744956\n ],\n [\n 7.976964758618351,\n 45.93915403253479\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"341","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lanfranconi, Camilla","contributorId":344170,"corporation":false,"usgs":false,"family":"Lanfranconi","given":"Camilla","email":"","affiliations":[{"id":82312,"text":"Università degli studi di Milano – Bicocca","active":true,"usgs":false}],"preferred":false,"id":913045,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frattini, Paolo","contributorId":344171,"corporation":false,"usgs":false,"family":"Frattini","given":"Paolo","email":"","affiliations":[{"id":82312,"text":"Università degli studi di Milano – Bicocca","active":true,"usgs":false}],"preferred":false,"id":913046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Agliardi, Federico","contributorId":344172,"corporation":false,"usgs":false,"family":"Agliardi","given":"Federico","email":"","affiliations":[{"id":82312,"text":"Università degli studi di Milano – Bicocca","active":true,"usgs":false}],"preferred":false,"id":913047,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stock, Greg M.","contributorId":258810,"corporation":false,"usgs":false,"family":"Stock","given":"Greg M.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":913048,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Collins, Brian D. 0000-0003-4881-5359 bcollins@usgs.gov","orcid":"https://orcid.org/0000-0003-4881-5359","contributorId":149278,"corporation":false,"usgs":true,"family":"Collins","given":"Brian","email":"bcollins@usgs.gov","middleInitial":"D.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":913049,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Crosta, Giovanni","contributorId":344173,"corporation":false,"usgs":false,"family":"Crosta","given":"Giovanni","affiliations":[{"id":82312,"text":"Università degli studi di Milano – Bicocca","active":true,"usgs":false}],"preferred":false,"id":913050,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70262457,"text":"70262457 - 2024 - Incorporating climate change into restoration decisions: Perspectives from dam removal practitioners","interactions":[],"lastModifiedDate":"2025-01-17T17:43:07.089131","indexId":"70262457","displayToPublicDate":"2024-09-02T10:33:57","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7455,"text":"Ecology & Society","active":true,"publicationSubtype":{"id":10}},"title":"Incorporating climate change into restoration decisions: Perspectives from dam removal practitioners","docAbstract":"Incorporating climate change into conservation and restoration decisions is increasingly important for natural resource managers and restoration practitioners to effectively address the underlying drivers of ecosystem change. Small dam removal is an example of a restoration tool that may offer multiple socioeconomic and ecological benefits in streams, including promoting climate resilience. With the pace of dam removals increasing, practitioners and researchers are well-poised to incorporate climate change into future dam removal decisions. Therefore, we surveyed dam removal practitioners across 14 states in the eastern United States to understand current practices of small dam removals, factors driving restoration decisions, and how climate change knowledge is incorporated into these decisions. We also aimed to identify barriers to and opportunities for knowledge exchange between practitioners and researchers. Of the 100 respondents, most (79%) consider climate change in their dam removal decisions to some extent. Despite this, many reported a lack of clear, relevant, and accessible data linking small dam removal to climate resilience benefits. Dam removal practitioners also indicated that they most often rely on climate change information garnered from conversations with colleagues, rather than from scientific research products. These results suggest that the co-production of relevant, salient research questions and readily accessible and interpretable research products (e.g., technical summaries, open access articles) may encourage practitioners to incorporate climate change science more consistently and efficiently into dam removal decisions. These findings may also translate to other stream restoration efforts to inform knowledge exchange and improve restoration outcomes in a changing climate.
","language":"English","publisher":"Resilience Alliance","doi":"10.5751/es-15182-290321","usgsCitation":"Abbott, K., Roy, A.H., Magilligan, F., Nislow, K., and Quiñones, R., 2024, Incorporating climate change into restoration decisions: Perspectives from dam removal practitioners: Ecology & Society, v. 29, no. 3, 21, 20 p., https://doi.org/10.5751/es-15182-290321.","productDescription":"21, 20 p.","ipdsId":"IP-151780","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481063,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/es-15182-290321","text":"Publisher Index Page"},{"id":480757,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Delaware, Kentucky, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, Virginia , Vermont, West 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\"}}]}","volume":"29","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Abbott, Katherine M.","contributorId":349348,"corporation":false,"usgs":false,"family":"Abbott","given":"Katherine M.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":924252,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":924439,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Magilligan, Francis J.","contributorId":349349,"corporation":false,"usgs":false,"family":"Magilligan","given":"Francis J.","affiliations":[{"id":36404,"text":"Dartmouth University","active":true,"usgs":false}],"preferred":false,"id":924254,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nislow, Keith H.","contributorId":349350,"corporation":false,"usgs":false,"family":"Nislow","given":"Keith H.","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":924255,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Quiñones, Rebecca","contributorId":349351,"corporation":false,"usgs":false,"family":"Quiñones","given":"Rebecca","affiliations":[{"id":16900,"text":"Massachusetts Division of Fisheries and Wildlife","active":true,"usgs":false}],"preferred":false,"id":924256,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70266905,"text":"70266905 - 2024 - Recognition of artificial gases formed during drill-bit metamorphism using advanced mud gas","interactions":[],"lastModifiedDate":"2025-05-15T15:04:15.890062","indexId":"70266905","displayToPublicDate":"2024-09-02T07:58:30","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10757,"text":"Energies","active":true,"publicationSubtype":{"id":10}},"title":"Recognition of artificial gases formed during drill-bit metamorphism using advanced mud gas","docAbstract":"Drill-bit metamorphism (DBM) is the process of thermal degradation of drilling fluid at the interface of the bit and rock due to the overheating of the bit. The heat generated by the drill when drilling into a rock formation promotes the generation of artificial hydrocarbon and non-hydrocarbon gas, changing the composition of the gas. The objective of this work is to recognize and evaluate artificial gases originating from DBM in wells targeting oil accumulations in pre-salt carbonates in the Santos Basin, Brazil. For the evaluation, chromatographic data from advanced mud gas equipment, drilling parameters, drill type, and lithology were used. The molar concentrations of gases and gas ratios (especially ethene/ethene+ethane and dryness) were analyzed, which identified the occurrence of DBM. DBM is most severe when wells penetrate igneous and carbonate rocks with diamond-impregnated drill bits. The rate of penetration, weight on bit, and rotation per minute were evaluated together with gas data but did not present good correlations to assist in identifying DBM. The depth intervals over which artificial gases formed during DBM are recognized should not be used to infer pay zones or predict the composition and properties of reservoir fluids because the gas composition is completely changed.","language":"English","publisher":"MDPI","doi":"10.3390/en17174383","usgsCitation":"Leon, J., Penteado, H., Ellis, G.S., Milkov, A., and Filho, J., 2024, Recognition of artificial gases formed during drill-bit metamorphism using advanced mud gas: Energies, v. 17, no. 17, 4383, 15 p., https://doi.org/10.3390/en17174383.","productDescription":"4383, 15 p.","ipdsId":"IP-156439","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":490123,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/en17174383","text":"Publisher Index Page"},{"id":485995,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil","otherGeospatial":"Santos Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -47.95829074516948,\n -24.158423608072184\n ],\n [\n -48.78636605095795,\n -27.5769025278343\n ],\n [\n -46.99648407706377,\n -28.685560867609183\n ],\n [\n -43.4776286149596,\n -28.710262272210713\n ],\n [\n -41.53986377011067,\n -24.167147426819017\n ],\n [\n -43.19143671242696,\n -22.156723909933447\n ],\n [\n -47.95829074516948,\n -24.158423608072184\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","issue":"17","noUsgsAuthors":false,"publicationDate":"2024-09-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Leon, Janaina A. de Lima","contributorId":355194,"corporation":false,"usgs":false,"family":"Leon","given":"Janaina A. de Lima","affiliations":[{"id":84724,"text":"Petrobras, Rio de Janeiro, Brazil","active":true,"usgs":false}],"preferred":false,"id":937093,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Penteado, Henrique Luiz de Barros","contributorId":355195,"corporation":false,"usgs":false,"family":"Penteado","given":"Henrique Luiz de Barros","affiliations":[{"id":84724,"text":"Petrobras, Rio de Janeiro, Brazil","active":true,"usgs":false}],"preferred":false,"id":937094,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellis, Geoffrey S. 0000-0003-4519-3320 gsellis@usgs.gov","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":1058,"corporation":false,"usgs":true,"family":"Ellis","given":"Geoffrey","email":"gsellis@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":937095,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Milkov, Alexei V.","contributorId":355196,"corporation":false,"usgs":false,"family":"Milkov","given":"Alexei V.","affiliations":[{"id":13027,"text":"Department of Geology and Geological Engineering, Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":937096,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Filho, João Graciano Mendonça","contributorId":355197,"corporation":false,"usgs":false,"family":"Filho","given":"João Graciano Mendonça","affiliations":[{"id":84726,"text":"Federal University of Rio de Janeiro, Brazil","active":true,"usgs":false}],"preferred":false,"id":937097,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70261010,"text":"70261010 - 2024 - Insights on gas hydrate formation and growth within an interbedded sand reservoir from well logging at the Qiongdongnan Basin, South China Sea","interactions":[],"lastModifiedDate":"2024-11-20T15:04:25.941164","indexId":"70261010","displayToPublicDate":"2024-09-02T07:56:14","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Insights on gas hydrate formation and growth within an interbedded sand reservoir from well logging at the Qiongdongnan Basin, South China Sea","docAbstract":"Although variable well log resolution and its control on saturation estimation has been studied, it has not been directly applied to a specific location to explore the nature of gas hydrate within a sand reservoir. We applied in-situ measurements of resistivities, neutron porosity, and gamma ray at two sites in the Qiongdongnan Basin, South China Sea (QDN-W05–2021 and QDN-W08–2021) to investigate the reservoir parameters of a hydrate-bearing sand reservoir. Our results show that gas hydrate is distributed in 5 zones with a total thickness of 10.7 m and an average saturation of 69% at the QDN-W05–2021 site, while they are distributed in 2 zones with a total thickness of 4.3 m and an average saturation of 49% at the QDN-W08–2021 site. We found that variances in saturations estimated from lateral-extra deep button (RX), phase shift (P40H-P40L), and attenuation (A40H-A40L) resistivities within the laterally mapped continuous sand body were affected by the nature of gas hydrate occurrences. Results indicate gas hydrate forms and accumulates at the center of the sand layer and tends to be less or not present toward the top and base. Integrated with seismic data, the in-situ measurements provide insights in the evolution of a mushroom-shaped, hydrate-gas reservoir system. In the system, free gas is likely horizontally transported from the top-center of the gas chimney to the surrounding areas in the early stage dominated by a warm-gas environment, whereas hydrate forms in the opposite pathway starting from the surrounding areas in the following stage with temperature reducing. Our study suggests that high-resolution in-situ measurements not only are a tool to identify the physical properties, but also can be used to help explain the physical process of hydrate growth and accumulation.","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2024.107343","usgsCitation":"Kang, D., Zhang, Z., Lu, J., Phillips, S.C., Liang, J., Deng, W., Zhong, C., and Meng, D., 2024, Insights on gas hydrate formation and growth within an interbedded sand reservoir from well logging at the Qiongdongnan Basin, South China Sea: Marine Geology, v. 475, 107343, 14 p., https://doi.org/10.1016/j.margeo.2024.107343.","productDescription":"107343, 14 p.","ipdsId":"IP-167278","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":498062,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.margeo.2024.107343","text":"Publisher Index Page"},{"id":464339,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Qiongdongnan Basin, South China Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 109.8098221507899,\n 17.666985235695577\n ],\n [\n 109.8098221507899,\n 15.348061719259704\n ],\n [\n 117.49933295499756,\n 15.348061719259704\n ],\n [\n 117.49933295499756,\n 17.666985235695577\n ],\n [\n 109.8098221507899,\n 17.666985235695577\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"475","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kang, Dongju","contributorId":208555,"corporation":false,"usgs":false,"family":"Kang","given":"Dongju","email":"","affiliations":[],"preferred":false,"id":918899,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Zijian","contributorId":346398,"corporation":false,"usgs":false,"family":"Zhang","given":"Zijian","email":"","affiliations":[{"id":82862,"text":"Research Institute of Tsinghua University in Shenzhen; Prime Ocean Technology Inc","active":true,"usgs":false}],"preferred":false,"id":918900,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lu, Jing’an","contributorId":346399,"corporation":false,"usgs":false,"family":"Lu","given":"Jing’an","email":"","affiliations":[{"id":68688,"text":"Guangzhou Marine Geological Survey","active":true,"usgs":false}],"preferred":false,"id":918901,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Phillips, Stephen C. 0000-0003-0858-4701","orcid":"https://orcid.org/0000-0003-0858-4701","contributorId":268177,"corporation":false,"usgs":true,"family":"Phillips","given":"Stephen","email":"","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":918902,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Liang, Jinqiang","contributorId":346400,"corporation":false,"usgs":false,"family":"Liang","given":"Jinqiang","email":"","affiliations":[{"id":68688,"text":"Guangzhou Marine Geological Survey","active":true,"usgs":false}],"preferred":false,"id":918903,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Deng, Wei","contributorId":316745,"corporation":false,"usgs":false,"family":"Deng","given":"Wei","email":"","affiliations":[{"id":68688,"text":"Guangzhou Marine Geological Survey","active":true,"usgs":false}],"preferred":false,"id":918904,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhong, Chao","contributorId":346401,"corporation":false,"usgs":false,"family":"Zhong","given":"Chao","email":"","affiliations":[{"id":68688,"text":"Guangzhou Marine Geological Survey","active":true,"usgs":false}],"preferred":false,"id":918905,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Meng, Dajiang","contributorId":346402,"corporation":false,"usgs":false,"family":"Meng","given":"Dajiang","email":"","affiliations":[{"id":68688,"text":"Guangzhou Marine Geological Survey","active":true,"usgs":false}],"preferred":false,"id":918906,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70261236,"text":"70261236 - 2024 - Evidence of longitudinal differences in spring migration strategies of an Arctic-nesting goose","interactions":[],"lastModifiedDate":"2024-12-03T14:59:22.039155","indexId":"70261236","displayToPublicDate":"2024-09-02T07:54:42","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Evidence of longitudinal differences in spring migration strategies of an Arctic-nesting goose","docAbstract":"During spring, migratory birds are required to optimally balance energetic costs of migration across heterogeneous landscapes and weather conditions to survive and reproduce successfully. Therefore, an individual's migratory performance may influence reproductive outcomes. Given large-scale changes in land use, climate, and potential carry-over effects, understanding how individuals migrate in relation to breeding outcomes is critical to predicting how future scenarios may affect populations. We used GPS tracking devices on 56 Greater White-fronted Geese (Anser albifrons) during four spring migrations to examine whether migration characteristics influenced breeding propensity and breeding outcome. We found a strong longitudinal difference in arrival to the breeding areas (18 days earlier), pre-nesting duration (90.9% longer), and incubation initiation dates (9 days earlier) between western- and eastern-Arctic breeding regions, with contrasting effects on breeding outcomes, but no migration characteristic strongly influenced breeding outcome. We found that breeding region influenced whether an individual likely pursued a capital or income breeding strategy. Where individuals fell along the capital-income breeding continuum was influenced by longitude, revealing geographic effects of life-history strategy among conspecifics. Factors that govern breeding outcomes likely occur primarily upon arrival to breeding areas or are related to individual quality and previous breeding outcome, and may not be directly tied to migratory decision-making across broad scales.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.11665","usgsCitation":"VonBank, J.A., Kraai, K.J., Collins, D.P., Link, P.T., Weegman, M., Cao, L., and Ballard, B., 2024, Evidence of longitudinal differences in spring migration strategies of an Arctic-nesting goose: Ecology and Evolution, v. 14, no. 9, e11665, 17 p., https://doi.org/10.1002/ece3.11665.","productDescription":"e11665, 17 p.","ipdsId":"IP-157374","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":466940,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.11665","text":"Publisher Index Page"},{"id":464694,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana, 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\"}}]}","volume":"14","issue":"9","noUsgsAuthors":false,"publicationDate":"2024-09-02","publicationStatus":"PW","contributors":{"authors":[{"text":"VonBank, Jay Alan 0000-0002-4319-4998","orcid":"https://orcid.org/0000-0002-4319-4998","contributorId":305827,"corporation":false,"usgs":true,"family":"VonBank","given":"Jay","email":"","middleInitial":"Alan","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":920029,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kraai, Kevin J.","contributorId":346855,"corporation":false,"usgs":false,"family":"Kraai","given":"Kevin","email":"","middleInitial":"J.","affiliations":[{"id":27442,"text":"Texas parks and Wildlife Department","active":true,"usgs":false}],"preferred":false,"id":920030,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collins, Daniel P.","contributorId":341613,"corporation":false,"usgs":false,"family":"Collins","given":"Daniel","email":"","middleInitial":"P.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":920031,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Link, Paul T.","contributorId":53611,"corporation":false,"usgs":false,"family":"Link","given":"Paul","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":920032,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weegman, Mitch D.","contributorId":207459,"corporation":false,"usgs":false,"family":"Weegman","given":"Mitch D.","affiliations":[],"preferred":false,"id":920033,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cao, Lei","contributorId":181789,"corporation":false,"usgs":false,"family":"Cao","given":"Lei","email":"","affiliations":[],"preferred":false,"id":920034,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ballard, Bart M.","contributorId":346856,"corporation":false,"usgs":false,"family":"Ballard","given":"Bart M.","affiliations":[{"id":82998,"text":"Caesar Kleberg Wildlife Research Institute, Texas A&M University – Kingsville","active":true,"usgs":false}],"preferred":false,"id":920035,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70259632,"text":"70259632 - 2024 - Arctic Alaska deepwater organic carbon burial and environmental changes during the late Albian–early Campanian (103–82 Ma)","interactions":[],"lastModifiedDate":"2024-10-21T11:12:59.205907","indexId":"70259632","displayToPublicDate":"2024-09-02T06:10:33","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Arctic Alaska deepwater organic carbon burial and environmental changes during the late Albian–early Campanian (103–82 Ma)","docAbstract":"Accounting for uncertainties in seismic site response is crucial to improving the performance of one-dimensional (1D) ground response analyses (GRAs) at downhole array recording sites. In addition to site effects, uncertainties in 1D-GRAs can also be contributed from the seismic source and/or path. Though often representing not more than one percent of the distance (path) from the source, site conditions are known to have an enormous influence on ground shaking. In this study, we focus on the site shear-wave velocity (VS) structure, which is the main ingredient for estimating the variability of site response. As such, VS can manifest aleatory uncertainties related to the effects of small-scale spatial heterogeneities within the near surface, thus VS can substantially modify ground shaking during earthquakes. We apply a novel VS randomization approach to propagate the small-scale heterogeneities of VS to estimate seismic site response within a non-stationary probabilistic framework. The randomization approach generates samples of VS profiles that are used to perform several 1D-GRAs and obtain an averaged site response and related variability. The proposed method is implemented on data recorded at two downhole array sites with different subsurface soil conditions: a soft soil site on Treasure Island (California, United States of America) and a rock outcrop site in Cadarache (South-East France). We show that synthetic surface-to-borehole transfer functions from 1D-GRAs provide an acceptable fit to the empirical transfer functions from low-motion earthquake records and succeed in reproducing most of the site-specific seismic response variability. The remaining mismatch between transfer functions is likely due to insufficient precision on the seismic bedrock and the impedance contrast. The variability in site response is discussed with emphasis on the role of VS small-scale heterogeneities, attenuation, and input motion incidence angle in ground motion variability for the site and soil conditions at both locations.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.soildyn.2024.108945","usgsCitation":"Youssef, E., Cornou, C., Youssef Abdel Massih, D., Al-Bittar, T., Yong, A., and Hollender, F., 2024, Application of non-stationary shear-wave velocity randomization approach to predict 1D seismic site response and its variability at two downhole array recordings: Soil Dynamics and Earthquake Engineering, v. 106, 100945, 15 p., https://doi.org/10.1016/j.soildyn.2024.108945.","productDescription":"100945, 15 p.","ipdsId":"IP-160514","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":489887,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.soildyn.2024.108945","text":"Publisher Index Page"},{"id":482283,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"France, United States","state":"California","city":"Saint-Paul-lez-Durance","otherGeospatial":"Cadarache downhole array, Treasure Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.38,\n 37.83\n ],\n [\n -122.38,\n 37.805\n ],\n [\n -122.36,\n 37.805\n ],\n [\n -122.36,\n 37.83\n ],\n [\n -122.38,\n 37.83\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 0,\n 45\n ],\n [\n 0,\n 42\n ],\n [\n 6,\n 42\n ],\n [\n 6,\n 45\n ],\n [\n 0,\n 45\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"106","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Youssef, Eliane","contributorId":351145,"corporation":false,"usgs":false,"family":"Youssef","given":"Eliane","affiliations":[{"id":55486,"text":"University of Grenoble, France","active":true,"usgs":false}],"preferred":false,"id":927979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cornou, Cecile","contributorId":351146,"corporation":false,"usgs":false,"family":"Cornou","given":"Cecile","affiliations":[{"id":55486,"text":"University of Grenoble, France","active":true,"usgs":false}],"preferred":false,"id":927980,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Youssef Abdel Massih, Dalia","contributorId":351147,"corporation":false,"usgs":false,"family":"Youssef Abdel Massih","given":"Dalia","affiliations":[{"id":83927,"text":"Lebanese University, Lebanon","active":true,"usgs":false}],"preferred":false,"id":927981,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Al-Bittar, Tamara","contributorId":351148,"corporation":false,"usgs":false,"family":"Al-Bittar","given":"Tamara","affiliations":[{"id":83927,"text":"Lebanese University, Lebanon","active":true,"usgs":false}],"preferred":false,"id":927982,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yong, Alan 0000-0003-1807-5847","orcid":"https://orcid.org/0000-0003-1807-5847","contributorId":204730,"corporation":false,"usgs":true,"family":"Yong","given":"Alan","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927983,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hollender, Fabrice","contributorId":351149,"corporation":false,"usgs":false,"family":"Hollender","given":"Fabrice","affiliations":[{"id":83928,"text":"French Alternative Energies and Atomic Energy Commission","active":true,"usgs":false}],"preferred":false,"id":927984,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70258124,"text":"70258124 - 2024 - Modelling effects of flow withdrawal scenarios on riverine and riparian features of the Yampa River in Dinosaur National Monument","interactions":[],"lastModifiedDate":"2024-09-05T14:46:08.713522","indexId":"70258124","displayToPublicDate":"2024-09-01T09:39:32","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":18517,"text":"Science Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/SR-2024-178","title":"Modelling effects of flow withdrawal scenarios on riverine and riparian features of the Yampa River in Dinosaur National Monument","docAbstract":"The National Park Service (NPS) is charged with maintaining natural riverine resources and processes in its parks along the Yampa River and downstream along the Green River. This mission requires information on how proposed water withdrawals would affect resources. We present a methodology that quantifies the impact on natural riverine and riparian features of Dinosaur National Monument based on alternative withdrawals that vary in volume and timing. This methodology uses a reverse quantification and develops tools to enable the NPS to ensure that if withdrawals must occur, the adverse impacts would be minimized by prescribing or constraining the timing, magnitude, and duration of withdrawal. The reverse quantification, well-suited for unregulated rivers such as the Yampa, strives to protect all flows minus extractions from daily flows based on three parameters: 1) a minimum flow, below which water diversion does not occur; 2) the percentage of the flow above the minimum that is diverted; 3) the maximum daily flow that is diverted. We apply 350 flow extraction scenarios, each defined by a unique set of parameters, to the 99 historic annual hydrographs of daily flows (water year (WY) 1922–2020), and to the more recent 20 years (WY 2001–2020). We also consider how hydrologic year type (wet to dry) influences the flow volume extracted and impact to the resource. Recognizing the seasonal differences in flow and ecological and geomorphic response, we divide each year into four distinct seasonal periods and use relations from the literature between flow, channel change, riparian vegetation and fish behavior, physiology, and habitat to define hydrograph and resource metrics used to evaluate impacts to the resource. While our analysis demonstrates that all withdrawals will damage the resource, extractions during the Early Runoff Period (March 15 – April 30) are least detrimental and extractions during the Summer Baseflow Period (July 16 – October 31) are most detrimental. We find that most aspects of the resource are more sensitive to increasing extractions during drier years than during wetter years. Recent decades have seen a shift towards more frequent drier years, resulting in less water in most periods. As a result, our analysis suggests that extractions in recent decades would have had a greater impact on the resource when compared to similar extractions during the full historical record. Finally, we demonstrate how the NPS may use these results to develop limits on extractions for resource protection.
","language":"English","publisher":"National Park Service","doi":"10.36967/2305338","usgsCitation":"Diehl, R., and Friedman, J.M., 2024, Modelling effects of flow withdrawal scenarios on riverine and riparian features of the Yampa River in Dinosaur National Monument: Science Report NPS/SR-2024-178, ix, 61 p., https://doi.org/10.36967/2305338.","productDescription":"ix, 61 p.","ipdsId":"IP-147809","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":433500,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Utah","otherGeospatial":"Dinosaur National Monument, Yampa River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -109.34123049693821,\n 40.54854333761875\n ],\n [\n -109.34123049693821,\n 40.4021164901732\n ],\n [\n -108.48839549264547,\n 40.4021164901732\n ],\n [\n -108.48839549264547,\n 40.54854333761875\n ],\n [\n -109.34123049693821,\n 40.54854333761875\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Diehl, Rebecca","contributorId":343881,"corporation":false,"usgs":false,"family":"Diehl","given":"Rebecca","email":"","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":912266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":44495,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":912267,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70266733,"text":"70266733 - 2024 - Scale‐dependent population drivers inform avian management in a declining saline lake ecosystem","interactions":[],"lastModifiedDate":"2025-05-12T14:28:10.171398","indexId":"70266733","displayToPublicDate":"2024-09-01T09:18:03","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Scale‐dependent population drivers inform avian management in a declining saline lake ecosystem","docAbstract":"Shrinking saline lakes provide irreplaceable habitat for waterbird species globally. Disentangling the effects of wetland habitat loss from other drivers of waterbird population dynamics is critical for protecting these species in the face of unprecedented changes to saline lake ecosystems, ideally through decision-making frameworks that identify effective management options and their potential outcomes. Here, we develop a framework to assess the effects of hypothesized population drivers and identify potential future outcomes of plausible management scenarios on a saline lake-reliant waterbird species. We use 36 years of monitoring data to quantify the effects of environmental conditions on the population size of a regionally important breeding colony of American white pelicans (Pelecanus erythrorhynchos) at Great Salt Lake, Utah, US, then forecast colony abundance under various management scenarios. We found that low lake levels, which allow terrestrial predators access to the colony, are probable drivers of recent colony declines. Without local management efforts, we predicted colony abundance could likely decline approximately 37.3% by 2040, although recent colony observations suggest population declines may be more extreme than predicted. Results from our population projection scenarios suggested that proactive approaches to preventing predator colony access and reversing saline lake declines are crucial for the persistence of the Great Salt Lake pelican colony. Increasing wetland habitat and preventing predator access to the colony together provided the most effective protection, increasing abundance 145.4% above projections where no management actions are taken, according to our population projection scenarios. Given the importance of water levels to the persistence of island-nesting colonial species, proactive approaches to reversing saline lake declines could likely benefit pelicans as well as other avian species reliant on these unique ecosystems.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.3021","usgsCitation":"Van Tatenhove, A., Neill, J., Norvell, R., Stuber, E.F., and Rushing, C., 2024, Scale‐dependent population drivers inform avian management in a declining saline lake ecosystem: Ecological Applications, v. 34, no. 7, e3021, 14 p., https://doi.org/10.1002/eap.3021.","productDescription":"e3021, 14 p.","ipdsId":"IP-154179","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":485709,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Great Salt Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -113.19271300986851,\n 41.73273309975224\n ],\n [\n -113.19271300986851,\n 40.558106500816905\n ],\n [\n -111.76650863756069,\n 40.558106500816905\n ],\n [\n -111.76650863756069,\n 41.73273309975224\n ],\n [\n -113.19271300986851,\n 41.73273309975224\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"34","issue":"7","noUsgsAuthors":false,"publicationDate":"2024-09-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Van Tatenhove, Aimee M.","contributorId":354882,"corporation":false,"usgs":false,"family":"Van Tatenhove","given":"Aimee M.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":936621,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neill, John","contributorId":354883,"corporation":false,"usgs":false,"family":"Neill","given":"John","affiliations":[{"id":49122,"text":"Utah Division of Wildlife Resources","active":true,"usgs":false}],"preferred":false,"id":936622,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Norvell, Russell E.","contributorId":354884,"corporation":false,"usgs":false,"family":"Norvell","given":"Russell E.","affiliations":[{"id":49122,"text":"Utah Division of Wildlife Resources","active":true,"usgs":false}],"preferred":false,"id":936623,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stuber, Erica Francis 0000-0002-2687-6874","orcid":"https://orcid.org/0000-0002-2687-6874","contributorId":298084,"corporation":false,"usgs":true,"family":"Stuber","given":"Erica","email":"","middleInitial":"Francis","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":936624,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rushing, Clark S.","contributorId":354886,"corporation":false,"usgs":false,"family":"Rushing","given":"Clark S.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":936625,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70253083,"text":"70253083 - 2024 - Airborne gamma-ray spectrometry inversion signatures of Hicks Dome area","interactions":[],"lastModifiedDate":"2024-09-16T13:53:27.215736","indexId":"70253083","displayToPublicDate":"2024-09-01T08:38:54","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Airborne gamma-ray spectrometry inversion signatures of Hicks Dome area","docAbstract":"No abstract available.
","conferenceTitle":"SEG/IMAGE '24 the International Meeting for Applied Geoscience & Energy","conferenceDate":"August 26-29, 2024","conferenceLocation":"Houston, TX","language":"English","publisher":"AAPG","usgsCitation":"Weihermann, J., Li, Y., and McCafferty, A.E., 2024, Airborne gamma-ray spectrometry inversion signatures of Hicks Dome area, SEG/IMAGE '24 the International Meeting for Applied Geoscience & Energy, Houston, TX, August 26-29, 2024, 4 p.","productDescription":"4 p.","ipdsId":"IP-164021","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":434775,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","otherGeospatial":"Hicks Dome","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.5,\n 37.75\n ],\n [\n -88.5,\n 37.45\n ],\n [\n -88.15,\n 37.45\n ],\n [\n -88.15,\n 37.75\n ],\n [\n -88.5,\n 37.75\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Weihermann, Jessica","contributorId":335668,"corporation":false,"usgs":false,"family":"Weihermann","given":"Jessica","email":"","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":899106,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, Yaoguo","contributorId":335669,"corporation":false,"usgs":false,"family":"Li","given":"Yaoguo","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":899107,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCafferty, Anne E. 0000-0001-5574-9201 anne@usgs.gov","orcid":"https://orcid.org/0000-0001-5574-9201","contributorId":1120,"corporation":false,"usgs":true,"family":"McCafferty","given":"Anne","email":"anne@usgs.gov","middleInitial":"E.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":899108,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70273467,"text":"70273467 - 2024 - 6PPD & 6PPD-quinone","interactions":[],"lastModifiedDate":"2026-01-15T16:38:21.618003","indexId":"70273467","displayToPublicDate":"2024-09-01T08:35:48","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"6PPD & 6PPD-quinone","docAbstract":"No abstract available.
","language":"English","publisher":"Interstate Technology & Regulatory Council","usgsCitation":"Interstate Technology & Regulatory Council, Grant, K., Williams, T., Brauner, S., Zambrana, J., Nancarrow, C., Garland, M., McCue, D., Smith, R., Lane, R.F., Bristol, M.R., and Reinis, S., 2024, 6PPD & 6PPD-quinone.","ipdsId":"IP-185072","costCenters":[{"id":84311,"text":"Central Plains Water Science Center","active":true,"usgs":true}],"links":[{"id":498654,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":498629,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://6ppd.itrcweb.org/about-itrc/"}],"noUsgsAuthors":false,"publicationDate":"2024-09-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Interstate Technology & Regulatory Council","contributorId":365170,"corporation":true,"usgs":false,"organization":"Interstate Technology & Regulatory Council","id":953861,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grant, Kelly","contributorId":365171,"corporation":false,"usgs":false,"family":"Grant","given":"Kelly","affiliations":[],"preferred":false,"id":953862,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Tanya","contributorId":365172,"corporation":false,"usgs":false,"family":"Williams","given":"Tanya","affiliations":[],"preferred":false,"id":953863,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brauner, Steven","contributorId":365173,"corporation":false,"usgs":false,"family":"Brauner","given":"Steven","affiliations":[],"preferred":false,"id":953864,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zambrana, Jose","contributorId":365174,"corporation":false,"usgs":false,"family":"Zambrana","given":"Jose","affiliations":[],"preferred":false,"id":953865,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nancarrow, Christine","contributorId":365175,"corporation":false,"usgs":false,"family":"Nancarrow","given":"Christine","affiliations":[],"preferred":false,"id":953866,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Garland, Michael","contributorId":365176,"corporation":false,"usgs":false,"family":"Garland","given":"Michael","affiliations":[],"preferred":false,"id":953867,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McCue, Dana","contributorId":365177,"corporation":false,"usgs":false,"family":"McCue","given":"Dana","affiliations":[],"preferred":false,"id":953868,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Smith, Rhea","contributorId":365178,"corporation":false,"usgs":false,"family":"Smith","given":"Rhea","affiliations":[],"preferred":false,"id":953869,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lane, Rachael F. 0000-0001-9202-0612","orcid":"https://orcid.org/0000-0001-9202-0612","contributorId":222471,"corporation":false,"usgs":true,"family":"Lane","given":"Rachael","email":"","middleInitial":"F.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":953843,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bristol, Madison Rose","contributorId":365179,"corporation":false,"usgs":false,"family":"Bristol","given":"Madison","middleInitial":"Rose","affiliations":[],"preferred":false,"id":953870,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Reinis, Sigrida","contributorId":365180,"corporation":false,"usgs":false,"family":"Reinis","given":"Sigrida","affiliations":[],"preferred":false,"id":953871,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70266781,"text":"70266781 - 2024 - An invasive predator substantially alters energy flux without changing food web functional state or stability","interactions":[],"lastModifiedDate":"2025-05-14T13:19:21.365534","indexId":"70266781","displayToPublicDate":"2024-09-01T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":862,"text":"Aquatic Conservation: Marine and Freshwater Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"An invasive predator substantially alters energy flux without changing food web functional state or stability","docAbstract":"Understanding how invasive species affect the stability and function of ecosystems is critical for conserving ecosystems. Here, we quantified the effect of an actively suppressed invasive species on the Yellowstone Lake, U.S.A. ecosystem using a food-web energetics approach. 2. We compared energy flux, functional state, and stability of four food web states: a pre-invasion network, and three post-invasion networks undergoing active invasive species suppression: initial invasion; expansion; decline. 3. Invasion caused > 25% change (±) in energy flux for most consumers, and total flux increased twofold post-invasion. Flux to the species of conservation concern, Yellowstone cutthroat trout (Oncorhynchus virginalis bouvieri), was 2.8-times less post-invasion vs pre-invasion while invasive lake trout (Salvelinus namaycush) flux was up to 17.3-times higher compared to the initial invasion network. The dominant functional state and food web stability did not change post-invasion, likely due to introduction of a generalist predator and the stabilizing effect of suppression. 4. Lake trout invasion in Yellowstone Lake caused large changes to energy flux, shifting dominant fluxes away from the species of conservation concern, despite not changing functional state or stability. We demonstrate that changes in energy flux may signal invasions in ecosystems, but functional state or stability may not necessarily reflect the magnitude of invasion influences. 5. Implications for conservation: For invaded fish communities, a better understanding of how the invasive species controls the food web beyond just the direct influence on prey results can be achieved by investigating energy flux, functional state, and food-web stability. Furthermore, evaluating the effect of suppression beyond the invasive species can demonstrate the far-reaching value of suppression management actions for conservation.
","language":"English","publisher":"Wiley","doi":"10.1002/aqc.4240","usgsCitation":"Glassic, H.C., Junker, J., Guy, C.S., Tronstad, L., Briggs, M., Albertson, L., Lujan, D., Brenden, T., Walsworth, T., and Koel, T., 2024, An invasive predator substantially alters energy flux without changing food web functional state or stability: Aquatic Conservation: Marine and Freshwater Ecosystems, v. 34, no. 9, e4240, 13 p., https://doi.org/10.1002/aqc.4240.","productDescription":"e4240, 13 p.","ipdsId":"IP-142967","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":490119,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/aqc.4240","text":"Publisher Index Page"},{"id":485825,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.60879514397,\n 44.60338974481584\n ],\n [\n -110.60879514397,\n 44.274195813940025\n ],\n [\n -110.14554498797068,\n 44.274195813940025\n ],\n [\n -110.14554498797068,\n 44.60338974481584\n ],\n [\n -110.60879514397,\n 44.60338974481584\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"34","issue":"9","noUsgsAuthors":false,"publicationDate":"2024-09-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Glassic, Hayley Corrine 0000-0001-6839-1026","orcid":"https://orcid.org/0000-0001-6839-1026","contributorId":305858,"corporation":false,"usgs":true,"family":"Glassic","given":"Hayley","email":"","middleInitial":"Corrine","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":936761,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Junker, James R.","contributorId":355003,"corporation":false,"usgs":false,"family":"Junker","given":"James R.","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":936762,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":936763,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tronstad, Lusha M.","contributorId":355005,"corporation":false,"usgs":false,"family":"Tronstad","given":"Lusha M.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":936765,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Briggs, Michelle A.","contributorId":355006,"corporation":false,"usgs":false,"family":"Briggs","given":"Michelle A.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":936766,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Albertson, Lindsey K.","contributorId":355007,"corporation":false,"usgs":false,"family":"Albertson","given":"Lindsey K.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":936767,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lujan, Dominique R.","contributorId":355004,"corporation":false,"usgs":false,"family":"Lujan","given":"Dominique R.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":936764,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brenden, Travis O.","contributorId":355008,"corporation":false,"usgs":false,"family":"Brenden","given":"Travis O.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":936768,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Walsworth, Timothy","contributorId":355011,"corporation":false,"usgs":false,"family":"Walsworth","given":"Timothy","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":936769,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Koel, Todd M.","contributorId":355014,"corporation":false,"usgs":false,"family":"Koel","given":"Todd M.","affiliations":[{"id":81042,"text":"Native Fish Conservation Program","active":true,"usgs":false}],"preferred":false,"id":936770,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70266810,"text":"70266810 - 2024 - Seasonal movements between mainstem and tributaries may facilitate the persistence of Roundtail Chub and Flannelmouth Sucker within an altered stream system","interactions":[],"lastModifiedDate":"2025-05-13T16:03:51.297459","indexId":"70266810","displayToPublicDate":"2024-09-01T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12982,"text":"Transaction of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal movements between mainstem and tributaries may facilitate the persistence of Roundtail Chub and Flannelmouth Sucker within an altered stream system","docAbstract":"Objective
Movement enables animals to complete their life history by responding to changing environmental conditions. Linking movement behaviors to life history characteristics can allow more targeted management applications for declining native fish populations. We identified seasonal movement patterns of Roundtail Chub Gila robusta and Flannelmouth Sucker Catostomus latipinnis, two understudied species that currently occupy only a portion of their historical range within the Colorado River Basin.
Methods
We coupled Passive Integrated Transponder tag antenna systems with multi-state capture-recapture models to quantify juvenile and adult movement between mainstem and tributary habitat within the Blacks Fork subbasin of southwest Wyoming, U.S.A. during 2019–2021. We also evaluated how flow and temperature may cue the timing of seasonal movements.
Result
Adults from both species made spring spawning movements to reach upstream tributary habitat, though adult Flannelmouth Sucker movements were more common and longer. Roundtail Chub primarily moved into the Hams Fork while Flannelmouth Sucker primarily moved into Muddy Creek, an intermittent tributary that was also identified as important for juvenile rearing. Juvenile movements occurred primarily during the fall months, with distance traveled comparable between species. Temperature and flow influenced the timing of spring spawning movements in adult Flannelmouth Sucker, with low flow potentially limiting access to preferred spawning habitat.
Conclusion
Identified movements likely contribute to Roundtail Chub and Flannelmouth Sucker persistence within this highly altered stream system and ultimately provide insights for management and recovery strategies to prevent further population declines.
","language":"English","publisher":"Wiley","doi":"10.1002/tafs.10489","usgsCitation":"Magruder, A., Barrile, G., Siddons, S.F., Walrath, J.D., and Walters, A.W., 2024, Seasonal movements between mainstem and tributaries may facilitate the persistence of Roundtail Chub and Flannelmouth Sucker within an altered stream system: Transaction of the American Fisheries Society, v. 153, no. 5, p. 644-659, https://doi.org/10.1002/tafs.10489.","productDescription":"16 p.","startPage":"644","endPage":"659","ipdsId":"IP-152541","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":497999,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/tafs.10489","text":"Publisher Index Page"},{"id":485828,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Blacks Fork subbasin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -109.78521909444135,\n 41.60984642142259\n ],\n [\n -109.78521909444135,\n 41.45062453005164\n ],\n [\n -109.43506299346544,\n 41.45062453005164\n ],\n [\n -109.43506299346544,\n 41.60984642142259\n ],\n [\n -109.78521909444135,\n 41.60984642142259\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"153","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-08-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Magruder, Alissa C.","contributorId":355068,"corporation":false,"usgs":false,"family":"Magruder","given":"Alissa C.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":936822,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barrile, Gabriel M.","contributorId":288734,"corporation":false,"usgs":false,"family":"Barrile","given":"Gabriel M.","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":936823,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Siddons, Stephen F.","contributorId":172276,"corporation":false,"usgs":false,"family":"Siddons","given":"Stephen","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":936824,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walrath, John D.","contributorId":204718,"corporation":false,"usgs":false,"family":"Walrath","given":"John","email":"","middleInitial":"D.","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":936968,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":936825,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70266857,"text":"70266857 - 2024 - Revised timing of rapid exhumation in the West Qinling: Implications for geodynamics of Oligocene-Miocene Tibetan plateau outward expansion","interactions":[],"lastModifiedDate":"2025-05-13T15:58:30.230601","indexId":"70266857","displayToPublicDate":"2024-08-31T10:50:41","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Revised timing of rapid exhumation in the West Qinling: Implications for geodynamics of Oligocene-Miocene Tibetan plateau outward expansion","docAbstract":"Two contrasting age models for initial mountain building in the northeastern (NE) Tibetan Plateau (Paleocene-early Eocene versus late Oligocene-early Miocene) have led to the debate on how the deformed continental lithosphere absorbs plate convergence in general. The initial compressional deformation in the West Qinling (WQL) of the NE Tibetan Plateau figures prominently in this ongoing debate. Here, apatite (U-Th)/He (AHe) thermochronology combined with geomorphological analysis are used to refine the onset of compressional deformation in the WQL. New AHe ages from two vertical transects and an updated reconstruction of an obliquely-tilted erosion surface document the accelerated exhumation in the northern WQL at 23-22 Ma, interpreted as the onset of north-vergent thrusting. The AHe results, together with sedimentary records in the intermontane and foreland basins, suggest that the entire WQL began experiencing compressional deformation in the late Oligocene-early Miocene. When integrated with previous studies, our findings show that the northern plateau boundary has not remained stationary since the collision, but has instead experienced ∼750 km of outward expansion during the late Oligocene to middle Miocene. This phase of rapid plateau growth is coeval with the ∼30–50 % reduction of the India-Eurasia convergence rate, which suggests that the increased gravitational potential energy of orogenic belts played a key role in plate motion changes.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2024.118966","usgsCitation":"Li, C., Zheng, D., Yu, J., Lease, R.O., Wang, Y., Pang, J., Wang, Y., Hao, Y., and Xu, Y., 2024, Revised timing of rapid exhumation in the West Qinling: Implications for geodynamics of Oligocene-Miocene Tibetan plateau outward expansion: Earth and Planetary Science Letters, v. 646, 118966, 9 p., https://doi.org/10.1016/j.epsl.2024.118966.","productDescription":"118966, 9 p.","ipdsId":"IP-165148","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":485826,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","otherGeospatial":"Tibetan plateau","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 101.5,\n 36\n ],\n [\n 101.5,\n 35\n ],\n [\n 104,\n 35\n ],\n [\n 104,\n 36\n ],\n [\n 101.5,\n 36\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"646","noUsgsAuthors":false,"publicationDate":"2024-08-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Li, Chaopeng","contributorId":355149,"corporation":false,"usgs":false,"family":"Li","given":"Chaopeng","affiliations":[{"id":84718,"text":"Institute of Geology, China Earthquake Administration","active":true,"usgs":false}],"preferred":false,"id":936937,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zheng, Dewen","contributorId":355150,"corporation":false,"usgs":false,"family":"Zheng","given":"Dewen","affiliations":[{"id":84718,"text":"Institute of Geology, China Earthquake Administration","active":true,"usgs":false}],"preferred":false,"id":936938,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yu, Jingxing","contributorId":355151,"corporation":false,"usgs":false,"family":"Yu","given":"Jingxing","affiliations":[{"id":84718,"text":"Institute of Geology, China Earthquake Administration","active":true,"usgs":false}],"preferred":false,"id":936939,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lease, Richard O. 0000-0003-2582-8966 rlease@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-8966","contributorId":5098,"corporation":false,"usgs":true,"family":"Lease","given":"Richard","email":"rlease@usgs.gov","middleInitial":"O.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":936940,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, Yizhou","contributorId":355152,"corporation":false,"usgs":false,"family":"Wang","given":"Yizhou","affiliations":[{"id":84718,"text":"Institute of Geology, China Earthquake Administration","active":true,"usgs":false}],"preferred":false,"id":936941,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pang, Jianzhang","contributorId":355153,"corporation":false,"usgs":false,"family":"Pang","given":"Jianzhang","affiliations":[{"id":84718,"text":"Institute of Geology, China Earthquake Administration","active":true,"usgs":false}],"preferred":false,"id":936942,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wang, Ying","contributorId":355154,"corporation":false,"usgs":false,"family":"Wang","given":"Ying","affiliations":[{"id":84718,"text":"Institute of Geology, China Earthquake Administration","active":true,"usgs":false}],"preferred":false,"id":936943,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hao, Yuqi","contributorId":355155,"corporation":false,"usgs":false,"family":"Hao","given":"Yuqi","affiliations":[{"id":84718,"text":"Institute of Geology, China Earthquake Administration","active":true,"usgs":false}],"preferred":false,"id":936944,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Xu, Yigang","contributorId":355156,"corporation":false,"usgs":false,"family":"Xu","given":"Yigang","affiliations":[{"id":84719,"text":"Guangzhou Institute of Geochemistry, Chinese Academy of Science","active":true,"usgs":false}],"preferred":false,"id":936945,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70258074,"text":"70258074 - 2024 - RegionGrow3D: A deterministic analysis for characterizing discrete three-dimensional landslide source areas on a regional scale","interactions":[],"lastModifiedDate":"2024-09-03T11:45:12.570817","indexId":"70258074","displayToPublicDate":"2024-08-31T06:43:19","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5739,"text":"Journal of Geophysical Research: Earth Surface","onlineIssn":"2169-9011","active":true,"publicationSubtype":{"id":10}},"title":"RegionGrow3D: A deterministic analysis for characterizing discrete three-dimensional landslide source areas on a regional scale","docAbstract":"Regional-scale characterization of shallow landslide hazards is important for reducing their destructive impact on society. These hazards are commonly characterized by (a) their location and likelihood using susceptibility maps, (b) landslide size and frequency using geomorphic scaling laws, and (c) the magnitude of disturbance required to cause landslides using initiation thresholds. Typically, this is accomplished through the use of inventories documenting the locations and triggering conditions of previous landslides. In the absence of comprehensive landslide inventories, physics-based slope stability models can be used to estimate landslide initiation potential and provide plausible distributions of landslide characteristics for a range of environmental and forcing conditions. However, these models are sometimes limited in their ability to capture key mechanisms tied to discrete three-dimensional (3D) landslide mechanics while possessing the computational efficiency required for broad-scale application. In this study, the RegionGrow3D (RG3D) model is developed to broadly simulate the area, volume, and location of landslides on a regional scale (≥1,000 km2) using 3D, limit-equilibrium (LE)-based slope stability modeling. Furthermore, RG3D is incorporated into a susceptibility framework that quantifies landsliding uncertainty using a distribution of soil shear strengths and their associated probabilities, back-calculated from inventoried landslides using 3D LE-based landslide forensics. This framework is used to evaluate the influence of uncertainty tied to shear strength, rainfall scenarios, and antecedent soil moisture on potential landsliding and rainfall thresholds over a large region of the Oregon Coast Range, USA.
Climate change is exacerbating shoreline erosion and flooding, posing significant risks to coastal communities. Although traditional coastal defenses such as seawalls, dykes, and breakwaters offer protection from these hazards, their high environmental and economic costs are driving interest in cost-competitive nature-based solutions. Coral reef restoration is a nature-based solution that may be particularly apt to mitigate tropical coastal flooding and shoreline erosion while providing benefits to local tourism, fisheries, and nature. However, the novelty of this field requires studies demonstrating the benefits of reefs for coastal protection. While the flood protection benefits of reefs have been well-documented, their effects on shoreline erosion are comparatively less understood. Here, we investigate the effects of coral reefs on shoreline erosion by comparing tropical beach responses at short and long timescales, as well as identifying important reef structural features influencing coastal erosion rates. Our analyses leveraged two key datasets created in this study: the first derived from a literature review on short-term shoreline erosion due to storm events, and another compiling >80 years of long-term erosion rates, bathymetry, habitat, and wave energy for the Hawaiian Islands of Kauaʻi, Oʻahu, and Maui. Our analyses reveal three key findings regarding the effects of reefs on shoreline erosion. Firstly, we find evidence for the role of reefs in mitigating shoreline erosion during storm events, with coral reef-protected beaches experiencing 97 % less beach volume loss than unprotected beaches. Secondly, a linear regression analysis demonstrates that coral reef structure and wave energy are important predictors of long-term shoreline erosion rates, explaining 34 % of the variation across the Hawaiian Islands. Consistent with prior research, we find beaches protected by coral reefs with shallow reef crests, wide reef flats, calmer offshore conditions, and positioned farther from the shore exhibit lower erosion rates than others. Finally, when comparing historical erosion rates of protected and unprotected beaches in Hawai'i, we find a seemingly incongruous pattern where coral reef-protected beaches eroded up to 2x faster than beaches without reefs. While the cause of the enhanced erosion is yet to be fully understood, a combination of coral reef structural degradation and sea-level rise is likely shifting the equilibrium profiles of reef-protected beaches inshore. These results emphasize the role of coral reefs in reducing coastal erosion during storm events while revealing contrasting erosion patterns over long timescales. Future studies would ideally broaden the scope to include various regions, utilize advanced sediment transport models, and undertake field experiments to deepen our understanding of coral reef-coupled shoreline dynamics.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.nbsj.2024.100174","usgsCitation":"Bitterwolf, S., Reguero, B., Storlazzi, C.D., and Beck, M.W., 2024, Shifting sands: The influence of coral reefs on shoreline erosion from short-term storm protection to long-term disequilibrium: Nature-Based Solutions, v. 6, no. 6, 100174, 8 p., https://doi.org/10.1016/j.nbsj.2024.100174.","productDescription":"100174, 8 p.","ipdsId":"IP-167854","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":466942,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.nbsj.2024.100174","text":"Publisher Index Page"},{"id":433437,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bitterwolf, Stephan","contributorId":245650,"corporation":false,"usgs":false,"family":"Bitterwolf","given":"Stephan","email":"","affiliations":[{"id":17620,"text":"UCSC","active":true,"usgs":false}],"preferred":false,"id":912035,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reguero, Borja","contributorId":264485,"corporation":false,"usgs":false,"family":"Reguero","given":"Borja","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":912036,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":912037,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beck, Michael W.","contributorId":259298,"corporation":false,"usgs":false,"family":"Beck","given":"Michael","email":"","middleInitial":"W.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":true,"id":912038,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}