The Athabasca Valles outflow channel system is among the youngest such channels on Mars, with the Athabasca Valles flood lava (AVFL) covering the channel floor and reaching far beyond. Volcanic rootless cones on the AVFL indicate the presence of H2O in the shallow subsurface at the time of lava emplacement. However, Athabasca Valles are near the equator, where ice would rapidly sublime in the current climate. Therefore, the source of water for the rootless cones is uncertain: the leading hypotheses are that it was deposited (i) from the atmosphere in a different climate, or (ii) by a large aqueous flood shortly before the lava was erupted. Here we test the aqueous flood hypothesis, using numerical models of floods traversing Athabasca Valles to determine whether they can provide water to the locations of observed rootless cones. A secondary test is to determine whether flood waters are available to carve Lethe Vallis, a distal channel likely carved by the same event that formed Athabasca Valles. We find that floods with volumes and fluxes based on previously published estimates are unable to reach the distal rootless cones or Lethe Vallis. This suggests either that the climate allowed equatorial ice to be present in the subsurface at the time of the AVFL, or that geologically recent aqueous floods in Athabasca Valles were much larger than indicated by published models.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2024.116406","usgsCitation":"Dundas, C., Keszthelyi, L., and Williams, K.E., 2025, Late Amazonian ice near Athabasca Valles, Mars: Recent megaflood or climate change?: Icarus, v. 429, no. 3, 116406, 17 p., https://doi.org/10.1016/j.icarus.2024.116406.","productDescription":"116406, 17 p.","ipdsId":"IP-167274","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":498063,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.icarus.2024.116406","text":"Publisher Index Page"},{"id":465667,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Athabasca Valles, Mars","volume":"429","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dundas, Colin M. 0000-0003-2343-7224","orcid":"https://orcid.org/0000-0003-2343-7224","contributorId":237028,"corporation":false,"usgs":true,"family":"Dundas","given":"Colin M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":922358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keszthelyi, Laszlo P. 0000-0003-1879-4331 laz@usgs.gov","orcid":"https://orcid.org/0000-0003-1879-4331","contributorId":52802,"corporation":false,"usgs":true,"family":"Keszthelyi","given":"Laszlo P.","email":"laz@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":922359,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Kaj E. 0000-0003-1755-1872 kewilliams@usgs.gov","orcid":"https://orcid.org/0000-0003-1755-1872","contributorId":196988,"corporation":false,"usgs":true,"family":"Williams","given":"Kaj","email":"kewilliams@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":922360,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70265938,"text":"70265938 - 2025 - Great Lakes mallard population dynamics","interactions":[],"lastModifiedDate":"2025-04-22T17:12:00.317697","indexId":"70265938","displayToPublicDate":"2024-12-11T12:04:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Great Lakes mallard population dynamics","docAbstract":"Breeding mallard (Anas platyrhynchos) populations in the Great Lakes region (Michigan, Minnesota, Wisconsin, USA) declined by >40% between 2000–2022 based on abundance data collected during spring aerial surveys. Mallards are an important waterfowl species in this region, where an estimated 60–80% of the mallard harvest is composed of locally banded birds. Extensive population monitoring datasets are available for mallards, presenting an opportunity to address complex questions such as estimating productivity at large spatial and temporal scales, identifying the effects of harvest on mallard demography, quantifying mechanisms for harvest compensation, and integrating multiple datasets to quantify the demographic drivers of population change. Our objective was to simultaneously examine factors affecting demographic parameters and their relative contribution to Great Lakes mallard population dynamics. We used 32 years of banding, band recovery, and aerial survey data collected for mallards from Michigan and Wisconsin to develop an integrated population model (IPM). We used age ratios at banding to estimate productivity, band recoveries from hunter-harvested birds to estimate annual survival and cause-specific mortality (i.e., harvest or non-hunting), and modeled abundance using aerial survey and demographic parameter estimates from 1991–2022. The IPM results indicated the decline in Great Lakes mallard abundance was caused by increased non-hunting mortality and a decline in productivity. Productivity varied spatially but temporally declined with the loss of Conservation Reserve Program area. Moreover, our productivity assessment provided evidence of density dependence in reproduction. Non-hunting mortality was 3.5–6.7 times and 1.3–4.2 times greater than harvest mortality for adult and juvenile female mallards, respectively, indicating environmental factors during spring and summer, not harvest, most greatly influenced annual mortality for female mallards. Our IPM reduced uncertainty in the factors affecting Great Lakes mallard population dynamics and indicated management actions that address non-hunting mortality and productivity would be most effective in increasing Great Lakes mallard abundance.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22702","usgsCitation":"Luukkonen, B., Winterstein, S., Hayes, D., Fowler, D., Soulliere, G., Coluccy, J., Shipley, A., Simpson, J., Shirkey, B., Winiarski, J., O’Neal, B., Avers, B., Urquhart, G., and Lavretsky, P., 2025, Great Lakes mallard population dynamics: Journal of Wildlife Management, v. 89, no. 2, e22702, 21 p., https://doi.org/10.1002/jwmg.22702.","productDescription":"e22702, 21 p.","ipdsId":"IP-169638","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":488489,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22702","text":"Publisher Index Page"},{"id":484852,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, 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recovery","interactions":[],"lastModifiedDate":"2025-03-26T14:52:46.805137","indexId":"70264860","displayToPublicDate":"2024-12-11T09:47:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Sampling for disease surveillance: Assessing effects on blue-winged teal survival and recovery","docAbstract":"Outbreaks of highly pathogenic avian influenza virus in wild animals highlight the need for disease surveillance in wild birds to improve our understanding of their role as reservoirs and dispersers, and potential threats to domestic poultry and wild bird populations. Surveillance for avian influenza varies in its approach, objectives, and coordination with other monitoring efforts. For waterfowl, a common host to avian influenza viruses, banding represents a concerted effort of capturing and marking thousands of individuals annually to estimate survival and harvest rates, but users of these data have generally taken a conservative approach to remove any banded birds from analyses that had a sample taken for disease surveillance during capture. We tested for differences in survival and encounter probabilities of blue-winged teal (Spatula discors) marked (n = 21,702 teal) and sampled for disease surveillance (n = 4,216) during the nonbreeding season in Louisiana, USA, from 2016 to 2023. Although we found no consistent effect of collecting biological samples on survival probability, including an additional test showing no detectable effects of sampling for disease surveillance with oropharyngeal and cloacal swabs versus sampling with swabs and a syringe-drawn blood sample, wide 95% credible intervals on the posterior survival estimates (mean 0.36 difference between upper and lower values across all year-sex-sampling groups; 0.44 for sampling type groups) indicated low statistical power to detect an effect. Seber recovery probability during the first interval following sampling was lower among birds sampled using swabs only, but we assume this stems from low sample sizes rather than an effect of collecting biological samples. Because recovery probabilities can vary as a function of individual covariates, we also examined direct recovery probabilities and observed no meaningful effect of disease surveillance sampling type but strong effects of capture date, suggesting the effect on Seber recovery probability may have been due to heterogeneity in exposure to natural and harvest mortality risks. Although we suggest that aligning disease surveillance sample collection efforts with landscape-scale waterfowl banding efforts may have little effect on observed demographic rates, additional studies with larger sample sizes are likely needed to provide the statistical power necessary to formally conclude no effect of biological sampling on survival probabilities.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22708","usgsCitation":"Swift, R.J., Arnold, T., Carter, D.L., Link, P.K., Poulson, R., Stallknecht, D., and Pearse, A.T., 2025, Sampling for disease surveillance: Assessing effects on blue-winged teal survival and recovery: Journal of Wildlife Management, v. 89, no. 3, e22708, 14 p., https://doi.org/10.1002/jwmg.22708.","productDescription":"e22708, 14 p.","ipdsId":"IP-166455","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":498247,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22708","text":"Publisher Index Page"},{"id":483873,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Grand Chenier, Krotz Springs","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.98756060983055,\n 30.65597997684506\n ],\n [\n -91.98756060983055,\n 30.58594442939689\n ],\n [\n -91.90986695702321,\n 30.58594442939689\n ],\n [\n -91.90986695702321,\n 30.65597997684506\n ],\n [\n -91.98756060983055,\n 30.65597997684506\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -92.85077315422781,\n 29.765387686685273\n ],\n [\n -92.85077315422781,\n 29.68901604803628\n ],\n [\n -92.76419198638513,\n 29.68901604803628\n ],\n [\n -92.76419198638513,\n 29.765387686685273\n ],\n [\n -92.85077315422781,\n 29.765387686685273\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"89","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-12-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Swift, Rose J. 0000-0001-7044-6196","orcid":"https://orcid.org/0000-0001-7044-6196","contributorId":212082,"corporation":false,"usgs":true,"family":"Swift","given":"Rose","email":"","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":932074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arnold, Todd W.","contributorId":340512,"corporation":false,"usgs":false,"family":"Arnold","given":"Todd W.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":932075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carter, Deborah L.","contributorId":335924,"corporation":false,"usgs":false,"family":"Carter","given":"Deborah","email":"","middleInitial":"L.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":932076,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Link, Paul K.","contributorId":271204,"corporation":false,"usgs":false,"family":"Link","given":"Paul","email":"","middleInitial":"K.","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":932077,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Poulson, Rebecca L.","contributorId":198807,"corporation":false,"usgs":false,"family":"Poulson","given":"Rebecca L.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":932078,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stallknecht, David E.","contributorId":225107,"corporation":false,"usgs":false,"family":"Stallknecht","given":"David E.","affiliations":[{"id":36701,"text":"Southeastern Cooperative Wildlife Disease Study, Department of Population Health, College of Veterinary Medicine, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":932079,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pearse, Aaron T. 0000-0002-6137-1556 apearse@usgs.gov","orcid":"https://orcid.org/0000-0002-6137-1556","contributorId":1772,"corporation":false,"usgs":true,"family":"Pearse","given":"Aaron","email":"apearse@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":932080,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70263135,"text":"70263135 - 2025 - Changes in streamflow seasonality associated with hydroclimatic variability in the north-central United States among three discrete temporal periods, 1946–2020","interactions":[],"lastModifiedDate":"2025-01-30T15:18:05.449684","indexId":"70263135","displayToPublicDate":"2024-12-10T09:09:03","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":20062,"text":"Journal of Hydrology—Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Changes in streamflow seasonality associated with hydroclimatic variability in the north-central United States among three discrete temporal periods, 1946–2020","docAbstract":"Directivity, or the focusing of energy along the direction of an earthquake rupture, is a common property of earthquakes of all sizes and can cause increased hazard due to azimuthally dependent ground‐motion amplification. For small earthquakes, the effects of directivity are generally less pronounced due to reduced rupture size, yet the directivity in small events can bias source property estimates and provide important insights into general regional faulting patterns. However, due to observational limitations, directivity is usually only measured and modeled for large events. As such, many studies of small earthquakes either ignore directivity altogether or assume a constant rupture direction for all events in a cluster. In our study, we apply a refined directivity fitting method constrained with two separate methods of source deconvolution to the dataset of aftershocks of the 2019 Ridgecrest earthquakes, which contain a large number of well‐recorded small‐to‐mid sized earthquakes occurring in close proximity to each other. The revealed directivity of 100+ small (M 2.4–5) earthquakes is highly heterogeneous and primarily oblique to and away from the main fault strike, suggesting a complex postseismic stress redistribution. In addition, the energy focusing effect of directivity appears to bias the selection of high‐quality data from stations in the direction of rupture, leading to average stress‐drop increases of 50% if directivity is not accounted for.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120240146","usgsCitation":"Chu, S., Baltay Sundstrom, A.S., and Abercrombie, R., 2025, Characterizing directivity in small (M 2.4-5) aftershocks of the Ridgecrest sequence: Bulletin of the Seismological Society of America, v. 115, no. 3, p. 1177-1188, https://doi.org/10.1785/0120240146.","productDescription":"12 p.","startPage":"1177","endPage":"1188","ipdsId":"IP-167693","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":481972,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Ridgecrest sequence","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.9,\n 36\n ],\n [\n -117.9,\n 35.5\n ],\n [\n -117.3,\n 35.5\n ],\n [\n -117.3,\n 36\n ],\n [\n -117.9,\n 36\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"115","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-12-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Chu, Shanna","contributorId":350708,"corporation":false,"usgs":false,"family":"Chu","given":"Shanna","affiliations":[{"id":7173,"text":"Rice University","active":true,"usgs":false}],"preferred":false,"id":927166,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baltay Sundstrom, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay Sundstrom","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":927167,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abercrombie, Rachel E.","contributorId":293131,"corporation":false,"usgs":false,"family":"Abercrombie","given":"Rachel E.","affiliations":[{"id":7208,"text":"Department of Earth and Environment, Boston University","active":true,"usgs":false}],"preferred":false,"id":927168,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70263855,"text":"70263855 - 2025 - Drought before fire increases tree mortality after fire","interactions":[],"lastModifiedDate":"2025-02-26T20:49:58.489965","indexId":"70263855","displayToPublicDate":"2024-12-09T13:44:41","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Drought before fire increases tree mortality after fire","docAbstract":"Fire and drought are expected to increase in frequency and severity in temperate forests due to climate change. To evaluate whether drought increases the likelihood of post-fire tree mortality, we used a large database of tree survival and mortality from 32 years of wildland fires covering four dominant western North American conifers. We used Bayesian hierarchical modeling to predict the probability of individual tree mortality after fire based on species—Pinus contorta (lodgepole pine), Abies concolor (white fir), Pseudotsuga menziesii (Douglas-fir), and Pinus ponderosa (ponderosa pine)—bark thickness, bark char, percentage live tree crown scorched or consumed crown volume scorch (CVS), and mean annual climatic water deficit (CWD) anomalies the year pre-fire and fire year relative to the 1985–2015 reference period. Although crown injury was the primary determinant of tree mortality after fire, drought increased likelihood of death, with a 2-SD increase in CWD (+115.7) resulting in a 78% increase in the probability of mortality. We assessed the crown scorch level expected to result in >50% probability of mortality under different CWD scenarios: observed CWD, CWD of +2, and +4°C warming scenarios. Increased climatic moisture stress amplified tree death, reducing the threshold that causes tree mortality across all conifers under +4°C warming, with more subtle and species-specific reductions for the +2°C scenario. Models predicting post-fire tree mortality are components of global and regional carbon estimates, habitat suitability assessments, and forest management planning and decision support systems. The amplifying effects of drought on post-fire tree mortality and predicted future climates are likely to lead to higher tree mortality following fires in forested landscapes of western North America and may have cascading effects on ecosystem services and future forest resilience.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70083","usgsCitation":"Cansler, C.A., Wright, M., van Mantgem, P., Shearman, T.M., Varner, J., and Hood, S.M., 2025, Drought before fire increases tree mortality after fire: Ecosphere, v. 15, no. 12, e70083, 18 p., https://doi.org/10.1002/ecs2.70083.","productDescription":"e70083, 18 p.","ipdsId":"IP-141643","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":486900,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70083","text":"Publisher Index Page"},{"id":482503,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"western United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -125.54358044928802,\n 48.48322783092678\n ],\n [\n -125.54358044928802,\n 31.839699908457078\n ],\n [\n -100.5819546029139,\n 31.839699908457078\n ],\n [\n -100.5819546029139,\n 48.48322783092678\n ],\n [\n -125.54358044928802,\n 48.48322783092678\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"12","noUsgsAuthors":false,"publicationDate":"2024-12-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Cansler, C. Alina 0000-0002-2155-4438","orcid":"https://orcid.org/0000-0002-2155-4438","contributorId":225029,"corporation":false,"usgs":false,"family":"Cansler","given":"C.","email":"","middleInitial":"Alina","affiliations":[{"id":41022,"text":"Missoula Fire Science Lab","active":true,"usgs":false}],"preferred":false,"id":928704,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wright, Micah C. 0000-0002-5324-1110","orcid":"https://orcid.org/0000-0002-5324-1110","contributorId":229071,"corporation":false,"usgs":true,"family":"Wright","given":"Micah","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":928705,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van Mantgem, Phillip J. 0000-0002-3068-9422","orcid":"https://orcid.org/0000-0002-3068-9422","contributorId":204320,"corporation":false,"usgs":true,"family":"van Mantgem","given":"Phillip J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":928706,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shearman, Timothy M.","contributorId":229060,"corporation":false,"usgs":false,"family":"Shearman","given":"Timothy","email":"","middleInitial":"M.","affiliations":[{"id":41540,"text":"Tall Timbers Research Station, 13093 Henry Beadel Drive, Tallahassee, FL, 32312, USA","active":true,"usgs":false}],"preferred":false,"id":928707,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Varner, J. Morgan","contributorId":265933,"corporation":false,"usgs":false,"family":"Varner","given":"J. Morgan","affiliations":[{"id":36874,"text":"Tall Timbers Research Station","active":true,"usgs":false}],"preferred":false,"id":928708,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hood, Sharon M.","contributorId":221183,"corporation":false,"usgs":false,"family":"Hood","given":"Sharon","email":"","middleInitial":"M.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":928709,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70261697,"text":"70261697 - 2025 - Global patterns of coseismic landslide runout mobility differ from aseismic landslide trends","interactions":[],"lastModifiedDate":"2024-12-18T17:47:39.005361","indexId":"70261697","displayToPublicDate":"2024-12-09T11:43:17","publicationYear":"2025","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":"Global patterns of coseismic landslide runout mobility differ from aseismic landslide trends","docAbstract":"Coseismic landslides significantly contribute to human and economic losses during and immediately following earthquakes, yet very little data on the runout of such landslides exist. While well-established behavior of aseismic (e.g., hydrologically triggered) landslide runout mobility suggests strong correlation between landslide size and mobility, limited studies of coseismic landslide runout find conflicting mobility trends. We present a global dataset of runout lengths produced from a new automated method for estimating landslide runout, developed and validated using 1726 manually mapped landslides from five unique earthquakes. We then apply the automated runout tool to 23 global earthquake-induced landslide inventories, producing a compiled database of 73,665 measured and estimated runout lengths of coseismic landslides to assess mobility trends. We find a significant divergence between well-established aseismic mobility trends and that of coseismic landslides, with far greater scatter and more complex mobility patterns in earthquake-triggered landslides. As a function of landslide size, we observe global coseismic landslide mobility patterns are bilinear, becoming increasingly less mobile with increasing size above some threshold. This discordance between aseismic and coseismic landslide mobility may be a function of landslide type, kinematics, hydrology, and or setting that systematically differ between triggering mechanisms and should be explored in more depth to develop predictive models of these unique runout patterns. These results suggest hazard and risk models for coseismic landslides may significantly under-predict or over-predict impacts, depending on the size of triggered landslides.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.enggeo.2024.107824","usgsCitation":"Grant, A.R., and Culhane, N.K., 2025, Global patterns of coseismic landslide runout mobility differ from aseismic landslide trends: Engineering Geology, v. 344, 107824, 14 p., https://doi.org/10.1016/j.enggeo.2024.107824.","productDescription":"107824, 14 p.","ipdsId":"IP-158255","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":466679,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.enggeo.2024.107824","text":"Publisher Index Page"},{"id":465290,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"344","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Grant, Alex R. 0000-0002-5096-4305","orcid":"https://orcid.org/0000-0002-5096-4305","contributorId":219066,"corporation":false,"usgs":true,"family":"Grant","given":"Alex","middleInitial":"R.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":921470,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Culhane, Natalie K.","contributorId":347352,"corporation":false,"usgs":false,"family":"Culhane","given":"Natalie","email":"","middleInitial":"K.","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":921471,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70267749,"text":"70267749 - 2025 - Invisible hand of sampling for management: Underlying needs to survey a threatened seabird can bias aggregated data","interactions":[],"lastModifiedDate":"2025-05-30T16:10:09.562422","indexId":"70267749","displayToPublicDate":"2024-12-09T11:05:33","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2193,"text":"Journal of Biogeography","active":true,"publicationSubtype":{"id":10}},"title":"Invisible hand of sampling for management: Underlying needs to survey a threatened seabird can bias aggregated data","docAbstract":"Surveying for a species of concern ahead of proposed activities that alter its habitat is routine practice in conservation and management. Such surveys may accumulate large datasets that could further elucidate trends in abundance and distribution. However, the as-needed surveying of proposed activities may impart a sample site selection bias on the data if used for another purpose. Management of a threatened, forest-nesting seabird offered an example of this. Here we assessed how resource management planning and survey requirements can bias clearance monitoring survey data collected prior to proposed timber harvests, if those data are used for other purposes.
Oregon and Washington, USA.
Marbled Murrelet (Brachyramphus marmoratus).
To assess how timber planning and other factors influenced marbled murrelet survey location selection, we used logistic regression models to examine habitat associations of marbled murrelet survey sites (n = 9178) encompassing proposed timber harvests, and the survey stations (n = 38,923) therein, across the murrelet's inland range in Washington and Oregon, USA between 1989 and 2021. We then simulated the effect this selective sampling might have on assessments of occupancy trends.
Most habitat characteristics considered did influence where surveys were located, with distance to roads often being the strongest predictor of survey location. The strength of selection for each covariate changed over time, such that a habitat characteristic strongly influenced location selection in a year but was less influential in another year. The simulation analysis suggested that the non-random selection of survey sites could profoundly bias assessments of occupancy trends.
When using these clearance monitoring survey data– or any data–beyond their original purpose, careful consideration should be given to the scope of inference provided and analytical methods used, to ensure that observed trends are the product of biological processes and not biased by sampling artefacts.
","language":"English","publisher":"Wiley","doi":"10.1111/jbi.15068","usgsCitation":"Baumbusch, R., Duarte, A., and Peterson, J., 2025, Invisible hand of sampling for management: Underlying needs to survey a threatened seabird can bias aggregated data: Journal of Biogeography, v. 52, no. 3, p. 699-711, https://doi.org/10.1111/jbi.15068.","productDescription":"13 p.","startPage":"699","endPage":"711","ipdsId":"IP-172111","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":489291,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124.21754122531829,\n 41.967396517105556\n ],\n [\n -122.4561695892057,\n 42.01377286465285\n ],\n [\n -120.03476401689971,\n 48.13266425747176\n ],\n [\n -119.82343860956016,\n 49.0128353215286\n ],\n [\n -123.25786407617503,\n 49.057217103762355\n ],\n [\n -123.52567701204467,\n 48.49024105803022\n ],\n [\n -124.94673542155473,\n 48.575650402887135\n ],\n [\n -124.1349973200926,\n 46.025151144683235\n ],\n [\n -124.64641882316457,\n 42.827652538889424\n ],\n [\n -124.21754122531829,\n 41.967396517105556\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"52","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-12-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Baumbusch, Ryan","contributorId":289762,"corporation":false,"usgs":false,"family":"Baumbusch","given":"Ryan","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":938729,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duarte, Adam","contributorId":337608,"corporation":false,"usgs":false,"family":"Duarte","given":"Adam","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":938730,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":938731,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70261640,"text":"70261640 - 2025 - Smectite-rich horizons in Inceptisols trigger shallow landslides in tropical granitic terranes","interactions":[],"lastModifiedDate":"2024-12-17T15:27:14.331312","indexId":"70261640","displayToPublicDate":"2024-12-07T09:22:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5397,"text":"Geoderma Regional","active":true,"publicationSubtype":{"id":10}},"title":"Smectite-rich horizons in Inceptisols trigger shallow landslides in tropical granitic terranes","docAbstract":"Puerto Rico was affected by >70,000 landslides in the wake of 2017 Hurricane Maria, and landslide prevalence was especially high in the Utuado region in the Cordillera Central. Landslide density was highest where soil parent material is granodiorite; landslide slip surfaces tended to be shallow (<60 cm), and often were mobilized rapidly and with long runout distances. This study combines field observations with soil mineralogy (bulk and clay fractions), soil geochemistry (bulk fraction), and soil strength as determined by field cone penetrometer testing (CPT) to test the hypothesis that clay-rich subsoil horizons function as slip planes when water-logged. Soil pits were excavated to depths of ∼200 cm in Ultisols on an undulating plateau and to ∼100 cm in Inceptisols on steep slopes (36-43o) that flank the plateau and cone penetrometer tests (CPT) were done within 2 m of the soil pit. Six pits were located adjacent to scarps from previous landslides, enabling analysis of soil profiles downward through extrapolated slip surfaces. Results from X-ray diffraction (XRD), X-ray fluorescence (XRF) and thermogravimetric analysis (TGA) indicate that soils are heterogeneous, often with subsoil horizons enriched in clay minerals and immobile elements (Al, Fe, Ti). Inceptisols on steep slopes often contain smectite-rich horizons at 30–60 cm depth that appear to function as slip surfaces; in other Inceptisols, such horizons are not present and landslide susceptibility is potentially lower. In Ultisols, soil mineralogy is dominated by kaolinite with minor halloysite, and increased kaolinite content at soil depths ≥80 cm at some sites suggests potential slip surfaces enhancing probability of landslides. The origin of clay-rich horizons appears to be (1) fractures in granodiorite that facilitate water flow and leaching, accelerating mineral dissolution during early weathering stages, and (2) smectite-rich buried soils under permeable colluvium likely deposited by a prior mass wasting event. Where clay-rich layers occur beneath more-permeable horizons, rapid infiltration then absorption of water in clay-rich subsoil horizons causes decreased shear strength and increased landslide susceptibility.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geodrs.2024.e00897","usgsCitation":"Ryan, P., Mahmud, D., Derenoncourt, K.L., Nerbonne, L.F., Perez-Martin, I.L., Reyes Collovati, J., Junaid, M., and Cerovski-Darriau, C., 2025, Smectite-rich horizons in Inceptisols trigger shallow landslides in tropical granitic terranes: Geoderma Regional, v. 40, e00897, 17 p., https://doi.org/10.1016/j.geodrs.2024.e00897.","productDescription":"e00897, 17 p.","ipdsId":"IP-164570","costCenters":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"links":[{"id":465193,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -67.34134361905225,\n 18.567934517022124\n ],\n [\n -67.34134361905225,\n 17.870406991368498\n ],\n [\n -65.57303497201737,\n 17.870406991368498\n ],\n [\n -65.57303497201737,\n 18.567934517022124\n ],\n [\n -67.34134361905225,\n 18.567934517022124\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"40","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ryan, Peter C. 0000-0002-2251-5684","orcid":"https://orcid.org/0000-0002-2251-5684","contributorId":339466,"corporation":false,"usgs":false,"family":"Ryan","given":"Peter C.","affiliations":[{"id":27844,"text":"Middlebury College","active":true,"usgs":false}],"preferred":false,"id":921245,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mahmud, D.","contributorId":347276,"corporation":false,"usgs":false,"family":"Mahmud","given":"D.","email":"","affiliations":[{"id":27844,"text":"Middlebury College","active":true,"usgs":false}],"preferred":false,"id":921246,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Derenoncourt, K. L.","contributorId":347277,"corporation":false,"usgs":false,"family":"Derenoncourt","given":"K.","email":"","middleInitial":"L.","affiliations":[{"id":27844,"text":"Middlebury College","active":true,"usgs":false}],"preferred":false,"id":921247,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nerbonne, L. F.","contributorId":347278,"corporation":false,"usgs":false,"family":"Nerbonne","given":"L.","email":"","middleInitial":"F.","affiliations":[{"id":27844,"text":"Middlebury College","active":true,"usgs":false}],"preferred":false,"id":921248,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Perez-Martin, I. L.","contributorId":339465,"corporation":false,"usgs":false,"family":"Perez-Martin","given":"I.","email":"","middleInitial":"L.","affiliations":[{"id":27844,"text":"Middlebury College","active":true,"usgs":false}],"preferred":false,"id":921249,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reyes Collovati, J.","contributorId":339464,"corporation":false,"usgs":false,"family":"Reyes Collovati","given":"J.","email":"","affiliations":[{"id":27844,"text":"Middlebury College","active":true,"usgs":false}],"preferred":false,"id":921250,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Junaid, M.","contributorId":347282,"corporation":false,"usgs":false,"family":"Junaid","given":"M.","email":"","affiliations":[{"id":27844,"text":"Middlebury College","active":true,"usgs":false}],"preferred":false,"id":921251,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cerovski-Darriau, Corina 0000-0002-0543-0902","orcid":"https://orcid.org/0000-0002-0543-0902","contributorId":221159,"corporation":false,"usgs":true,"family":"Cerovski-Darriau","given":"Corina","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":921252,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70263680,"text":"70263680 - 2025 - Applying mark-resight, count, and telemetry data to estimate effective sampling area and fish density with stationary underwater cameras","interactions":[],"lastModifiedDate":"2025-02-24T14:15:35.402463","indexId":"70263680","displayToPublicDate":"2024-12-06T16:10:46","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Applying mark-resight, count, and telemetry data to estimate effective sampling area and fish density with stationary underwater cameras","docAbstract":"Accurate estimates of abundance and density for geographically open populations must account for the effective sampling area (ESA) of sampling gears. We describe a Marked N-Mixture model to estimate ESA and density (number of individuals/unit area) from repeated counts of unmarked and marked individuals, integrating mark-resight, camera counts, and telemetry data of red snapper (Lutjanus campechanus) at a 1.6 km2 reef off North Carolina, USA. Cameras recorded observations of unmarked and marked individuals, whereas telemetry data indicated the number of tagged fish present on the reef. We estimated density (95 individuals/km2, 95%CI: 58–149), ESA (which was lower when current direction was towards the camera), detection probability (0.06, 95%CI: 0.03–0.09), and covariate relationships. Simulation studies under different scenarios of data quality and space use identified positive bias in density estimates from N-mixture models due to fish movement. In contrast, the Marked N-Mixture model returned unbiased estimates of density, ESA, and detection parameters, and appears to be a more robust method for modeling density given the data available for this analysis. This approach can be applied to other populations where count and telemetry data overlap in space and time.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2023-0373","usgsCitation":"Zulian, V., Pacifici, K., Bacheler, N., Buckel, J., Patterson III, W., Reich, B., Shertzer, K., and Hostetter, N.J., 2025, Applying mark-resight, count, and telemetry data to estimate effective sampling area and fish density with stationary underwater cameras: Canadian Journal of Fisheries and Aquatic Sciences, v. 82, p. 1-11, https://doi.org/10.1139/cjfas-2023-0373.","productDescription":"11 p.","startPage":"1","endPage":"11","ipdsId":"IP-160698","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":487656,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/cjfas-2023-0373","text":"Publisher Index Page"},{"id":482306,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Chicken Rock, Cape Lookout","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.27088356315956,\n 35.090471776670924\n ],\n [\n -76.27088356315956,\n 34.38471805247836\n ],\n [\n -75.17756810224363,\n 34.38471805247836\n ],\n [\n -75.17756810224363,\n 35.090471776670924\n ],\n [\n -76.27088356315956,\n 35.090471776670924\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"82","noUsgsAuthors":false,"publicationDate":"2024-08-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Zulian, Viviane","contributorId":351039,"corporation":false,"usgs":false,"family":"Zulian","given":"Viviane","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":927804,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pacifici, Krishna","contributorId":351041,"corporation":false,"usgs":false,"family":"Pacifici","given":"Krishna","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":927805,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bacheler, Nathan M.","contributorId":351043,"corporation":false,"usgs":false,"family":"Bacheler","given":"Nathan M.","affiliations":[{"id":36612,"text":"National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":927806,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buckel, Jeffrey A.","contributorId":351045,"corporation":false,"usgs":false,"family":"Buckel","given":"Jeffrey A.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":927807,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Patterson III, William F.","contributorId":351047,"corporation":false,"usgs":false,"family":"Patterson III","given":"William F.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":927808,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reich, Brian J.","contributorId":351049,"corporation":false,"usgs":false,"family":"Reich","given":"Brian J.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":927809,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shertzer, Kyle W.","contributorId":351051,"corporation":false,"usgs":false,"family":"Shertzer","given":"Kyle W.","affiliations":[{"id":36612,"text":"National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":927810,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hostetter, Nathan J. 0000-0001-6075-2157 nhostetter@usgs.gov","orcid":"https://orcid.org/0000-0001-6075-2157","contributorId":198843,"corporation":false,"usgs":true,"family":"Hostetter","given":"Nathan","email":"nhostetter@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":927811,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70261631,"text":"70261631 - 2025 - Distinguishing natural sources from anthropogenic events in seismic data","interactions":[{"subject":{"id":70258409,"text":"70258409 - 2024 - Distinguishing natural sources from anthropogenic noise in seismic data","indexId":"70258409","publicationYear":"2024","noYear":false,"title":"Distinguishing natural sources from anthropogenic noise in seismic data"},"predicate":"SUPERSEDED_BY","object":{"id":70261631,"text":"70261631 - 2025 - Distinguishing natural sources from anthropogenic events in seismic data","indexId":"70261631","publicationYear":"2025","noYear":false,"title":"Distinguishing natural sources from anthropogenic events in seismic data"},"id":1}],"lastModifiedDate":"2025-01-13T16:23:28.276552","indexId":"70261631","displayToPublicDate":"2024-12-06T15:01:11","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Distinguishing natural sources from anthropogenic events in seismic data","docAbstract":"As seismic data are increasingly used to investigate a diverse range of subsurface phenomena beyond regular fast-rupturing earthquakes (Peng and Gomberg, 2010; Beroza and Ide, 2011), it is important to acknowledge that human-generated ground vibrations may be mistaken for naturally generated subsurface processes (Larose et al., 2015; Li et al., 2018). Correct discrimination of natural processes from anthropogenic noise is especially pressing given the trend in seismic detection research toward automated algorithms and machine learning methods (Yoon et al., 2015; Kong et al., 2019;Mousavi and Beroza, 2022) and the growth in seismic data collection in new environments such as urban and industry settings (e.g., Díaz et al.,2017).
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220240330","usgsCitation":"Maher, S., Glasgow, M.E., Cochran, E.S., and Peng, Z., 2025, Distinguishing natural sources from anthropogenic events in seismic data: Seismological Research Letters, v. 96, no. 1, p. 1-6, https://doi.org/10.1785/0220240330.","productDescription":"6 p.","startPage":"1","endPage":"6","ipdsId":"IP-169603","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":465224,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-12-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Maher, Sean","contributorId":265979,"corporation":false,"usgs":false,"family":"Maher","given":"Sean","affiliations":[{"id":54850,"text":"Department of Earth Science and Earth Research Institute, University of California, Santa Barbara, Santa Barbara, CA, USA","active":true,"usgs":false}],"preferred":false,"id":921239,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glasgow, Margaret Elizabeth 0000-0001-5637-5918","orcid":"https://orcid.org/0000-0001-5637-5918","contributorId":340268,"corporation":false,"usgs":true,"family":"Glasgow","given":"Margaret","email":"","middleInitial":"Elizabeth","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":921240,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":921241,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peng, Zhigang","contributorId":199689,"corporation":false,"usgs":false,"family":"Peng","given":"Zhigang","email":"","affiliations":[],"preferred":false,"id":921242,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70262436,"text":"70262436 - 2025 - Roles of host and environment in shift of primary anthrax host species in Kruger National Park","interactions":[],"lastModifiedDate":"2025-01-22T17:26:50.190108","indexId":"70262436","displayToPublicDate":"2024-12-06T11:18:18","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Roles of host and environment in shift of primary anthrax host species in Kruger National Park","docAbstract":"Environmental and climatic factors, as well as host demographics and behaviour, significantly influence the exposure of herbivorous mammalian hosts to pathogens such as Bacillus anthracis, the causative agent of anthrax. Until the early 1990s in Kruger National Park (KNP), kudu (Tragelaphus strepsiceros) was the host species most affected by anthrax, with outbreaks occurring predominantly in the dry season, particularly during drought cycles. However, the most affected host species has shifted to impala (Aepyceros melampus), with more frequent anthrax outbreaks during the wet season. This study investigates the roles of environmental variation and other host species in this shift. Temporal trends in environmental variables such as precipitation, soil moisture, temperature, and normalised difference vegetation index (NDVI) were analyzed in relation to anthrax occurrence (presence/ absence and counts). Additionally, correlations between host species’ densities and anthrax mortalities over time were examined. Anthrax cases in 1990 were concentrated in the central and northern regions of KNP(excluding Pafuri), primarily affected kudus; while subsequent mortalities affected mostly impala and were restricted to the far north, in Pafuri. Significant correlations were found between kudu anthrax mortality and a decrease in NDVI, average temperature, SPI-6 and SPI-12 (Standardised Precipitation Index in various time intervals. Conversely, anthrax occurrence in impalas was associated with a decline in SPI-3, and temperature rise, with increased mortality during the rainy season. Elephant density correlated negatively with kudu mortality, but a positive correlation with both impala mortality and impala density. The study concludes that environmental variables and species’ densities may alter the diversity and frequency of hosts exposed to B. anthracis. Climate extremes and alterations therein may exacerbate anthrax severity by modifying species susceptibility and their probability of exposure over time.
","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0314103","usgsCitation":"Ochai, S.O., Snyman, L., Dolfi, A., Ramoelo, A., Reilly, B., Botha, J., Dekker, E., van Schalkwyk, O., Kamath, P., Archer, E., Turner, W.C., and Heerden, H.V., 2025, Roles of host and environment in shift of primary anthrax host species in Kruger National Park: PLoS ONE, v. 19, no. 12, e0314103, 20 p., https://doi.org/10.1371/journal.pone.0314103.","productDescription":"e0314103, 20 p.","ipdsId":"IP-167470","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481035,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0314103","text":"Publisher Index Page"},{"id":480940,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"South Africa","otherGeospatial":"Kruger National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 31.06582138167292,\n -22.416075336478343\n ],\n [\n 30.859117075132964,\n -22.738484839932983\n ],\n [\n 30.891662008503246,\n -23.060894343387623\n ],\n [\n 31.34226541868827,\n -24.890478750913203\n ],\n [\n 31.98207203141098,\n -24.929702162871806\n ],\n [\n 32.08691048237788,\n -24.790395342372864\n ],\n [\n 31.58260787913791,\n -23.200094425169404\n ],\n [\n 31.287064700425418,\n -22.399809244114635\n ],\n [\n 31.06582138167292,\n -22.416075336478343\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"19","issue":"12","noUsgsAuthors":false,"publicationDate":"2024-12-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Ochai, Sunday O.","contributorId":342466,"corporation":false,"usgs":false,"family":"Ochai","given":"Sunday","email":"","middleInitial":"O.","affiliations":[{"id":48053,"text":"University of Pretoria","active":true,"usgs":false}],"preferred":false,"id":924191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Snyman, Lourens","contributorId":349287,"corporation":false,"usgs":false,"family":"Snyman","given":"Lourens","affiliations":[{"id":48053,"text":"University of Pretoria","active":true,"usgs":false}],"preferred":false,"id":924192,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dolfi, Amelie C.","contributorId":342314,"corporation":false,"usgs":false,"family":"Dolfi","given":"Amelie C.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":924193,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ramoelo, Abel","contributorId":349288,"corporation":false,"usgs":false,"family":"Ramoelo","given":"Abel","affiliations":[{"id":48053,"text":"University of Pretoria","active":true,"usgs":false}],"preferred":false,"id":924194,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reilly, Brian K.","contributorId":349290,"corporation":false,"usgs":false,"family":"Reilly","given":"Brian K.","affiliations":[{"id":83464,"text":"University of Free State","active":true,"usgs":false}],"preferred":false,"id":924195,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Botha, Judith M.","contributorId":349292,"corporation":false,"usgs":false,"family":"Botha","given":"Judith M.","affiliations":[{"id":48535,"text":"South African National Parks","active":true,"usgs":false}],"preferred":false,"id":924196,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dekker, Edgar H.","contributorId":343067,"corporation":false,"usgs":false,"family":"Dekker","given":"Edgar H.","affiliations":[{"id":81972,"text":"Government of South Africa","active":true,"usgs":false}],"preferred":false,"id":924197,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"van Schalkwyk, O. Louis","contributorId":349294,"corporation":false,"usgs":false,"family":"van Schalkwyk","given":"O. Louis","affiliations":[{"id":48053,"text":"University of Pretoria","active":true,"usgs":false}],"preferred":false,"id":924198,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kamath, Pauline L.","contributorId":349296,"corporation":false,"usgs":false,"family":"Kamath","given":"Pauline L.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":924199,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Archer, Emma","contributorId":349297,"corporation":false,"usgs":false,"family":"Archer","given":"Emma","affiliations":[{"id":83467,"text":"University of KwaZulu-Natal","active":true,"usgs":false}],"preferred":false,"id":924200,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Turner, Wendy Christine 0000-0002-0302-1646","orcid":"https://orcid.org/0000-0002-0302-1646","contributorId":287053,"corporation":false,"usgs":true,"family":"Turner","given":"Wendy","email":"","middleInitial":"Christine","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":924201,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Heerden, Henriette van","contributorId":342333,"corporation":false,"usgs":false,"family":"Heerden","given":"Henriette","email":"","middleInitial":"van","affiliations":[{"id":39588,"text":"University of Namibia","active":true,"usgs":false}],"preferred":false,"id":924202,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70267746,"text":"70267746 - 2025 - Bayesian networks facilitate updating of species distribution and habitat suitability models","interactions":[],"lastModifiedDate":"2025-05-30T16:13:52.967062","indexId":"70267746","displayToPublicDate":"2024-12-06T11:10:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Bayesian networks facilitate updating of species distribution and habitat suitability models","docAbstract":"Managers often rely on predictions of species distributions and habitat suitability to inform conservation and management decisions. Although numerous approaches are available to develop models to make these predictions, few approaches exist to update existing models as new data accumulate. There is a need for updatable models to ensure good modeling practices in an aim to keep pace with change in the environment and change in data availability to continue to use the best-available science to inform decisions. We demonstrated a workflow to deliver predictive models to user groups within Bayesian networks, allowing models to be used to make predictions across new sites and to be easily updated with new data. To demonstrate this workflow, we focus on species distribution and habitat suitability models given their importance to informing conservation strategies across the globe. In particular, we followed a standard process of collating species encounter data available in online databases and ancillary covariate data to develop a habitat suitability model. We then used this model to parameterize a Bayesian network and updated the model with new data to predict species presence in a new focal ecoregion. We found the network updated relatively quickly as new data were incorporated, and the overall error rate generally decreased with each model update. Our approach allows for the formal incorporation of new data into predictions to help ensure model predictions are based on all relevant data available, regardless of whether they were collected after initial model development. Although our focus is on species distribution and habitat suitability models to inform conservation efforts, the workflow we describe herein can easily be applied to any use case where model uncertainty reduction and increased model prediction accuracy are desired via model updating as new data become available. Thus, our paper describes a generalizable workflow to implement model updating, which is widely recognized as a good modeling practice but is also underutilized in applied ecology.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2024.110982","usgsCitation":"Duarte, A., Spaan, R., Peterson, J., Pearl, C., and Adams, M.J., 2025, Bayesian networks facilitate updating of species distribution and habitat suitability models: Ecological Modelling, v. 501, 110982, 11 p., https://doi.org/10.1016/j.ecolmodel.2024.110982.","productDescription":"110982, 11 p.","ipdsId":"IP-172422","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":490996,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2024.110982","text":"Publisher Index Page"},{"id":489293,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, 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In many documented occurrences of TDC in fishes, juvenile mortality can be high—up to 90% at the population level. Such sweeping demographic losses and concomitant decreases in genetic diversity due to TDC can be prevented by treating pre-spawn females or fertilized eggs with supplemental thiamine. However, some fisheries managers are hesitant to widely apply thiamine treatments due to the potential for unforeseen evolutionary consequences. With these concerns in mind, we first review the existing data regarding genetic adaptation to low-thiamine conditions and provide perspectives on evolution-informed treatment strategies with specific population examples. We also provide practical treatment information, consider the potential logistical constraints of thiamine supplementation, and explore the consequences of deciding against supplementation. Until new evidence bolsters or refutes the genetic adaptation hypothesis, we suggest that TDC mitigation strategies should be designed to support maximum population genetic diversity through thiamine supplementation.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2024-0109","usgsCitation":"Harder, A.M., Reed, A.N., and Rowland, F.E., 2025, Evolutionary perspectives on thiamine supplementation of managed Pacific salmonid populations: Canadian Journal of Fisheries and Aquatic Sciences, v. 82, p. 1-10, https://doi.org/10.1139/cjfas-2024-0109.","productDescription":"10 p.","startPage":"1","endPage":"10","ipdsId":"IP-158510","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":465069,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","noUsgsAuthors":false,"publicationDate":"2024-09-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Harder, Avril M.","contributorId":208496,"corporation":false,"usgs":false,"family":"Harder","given":"Avril","email":"","middleInitial":"M.","affiliations":[{"id":37808,"text":"Department of Biological Sciences, Purdue University, 915 W. State St., West Lafayette, Indiana","active":true,"usgs":false}],"preferred":false,"id":920793,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, Aimee N.","contributorId":302394,"corporation":false,"usgs":false,"family":"Reed","given":"Aimee","email":"","middleInitial":"N.","affiliations":[{"id":36223,"text":"Oregon Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":920794,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rowland, Freya Elizabeth 0000-0002-1041-5301","orcid":"https://orcid.org/0000-0002-1041-5301","contributorId":302395,"corporation":false,"usgs":true,"family":"Rowland","given":"Freya","email":"","middleInitial":"Elizabeth","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":920795,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70262084,"text":"70262084 - 2025 - An audience segmentation study of native plant gardening behaviors in the United States","interactions":[],"lastModifiedDate":"2025-01-13T15:09:41.124117","indexId":"70262084","displayToPublicDate":"2024-12-06T09:05:03","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2603,"text":"Landscape and Urban Planning","active":true,"publicationSubtype":{"id":10}},"title":"An audience segmentation study of native plant gardening behaviors in the United States","docAbstract":"Audience segmentation can be used to identify target audiences in environmental public engagement and communication, but few studies have used segmentation to study biodiversity conservation behavior. This study used segmentation to better understand perceptions and behaviors around different types of actions related to native plant gardening. With a United States representative survey (n = 1,200), we measured beliefs and intentions to engage in personal-sphere (i.e., individual), social diffusion (i.e., encouraging others to act), and civic action behavior (e.g., voting). A latent class analysis (LCA) revealed four distinct groups within the population: Disengaged, Potential Adopters, Potential Amplifiers, and Potential Advocates. Each class comprised approximately one-quarter of the United States population. We found that certain groups are more receptive to personal-sphere behavior, while others may be more receptive to social diffusion behavior or civic action behavior. The groups varied by key distinguishing characteristics: perceptions around civic action, previous personal-sphere and social diffusion behavior, and intentions to engage in personal-sphere action. Findings revealed opportunities to create tailored public engagement strategies to engage different groups in urban biodiversity conservation behavior.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.landurbplan.2024.105272","usgsCitation":"Champine, V., Tamlyn, K., Jones, M.S., Balgopal, M., Bruyere, B., Solomon, J., and Niemiec, R., 2025, An audience segmentation study of native plant gardening behaviors in the United States: Landscape and Urban Planning, v. 256, 105272, 9 p., https://doi.org/10.1016/j.landurbplan.2024.105272.","productDescription":"105272, 9 p.","ipdsId":"IP-167643","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":466680,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.landurbplan.2024.105272","text":"Publisher Index Page"},{"id":466110,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"256","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Champine, Veronica M.","contributorId":348145,"corporation":false,"usgs":false,"family":"Champine","given":"Veronica M.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":923033,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tamlyn, Kaiya","contributorId":348146,"corporation":false,"usgs":false,"family":"Tamlyn","given":"Kaiya","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":923034,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Megan Siobhan 0000-0002-4284-3650","orcid":"https://orcid.org/0000-0002-4284-3650","contributorId":294651,"corporation":false,"usgs":true,"family":"Jones","given":"Megan","email":"","middleInitial":"Siobhan","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":923035,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Balgopal, Meena M.","contributorId":348147,"corporation":false,"usgs":false,"family":"Balgopal","given":"Meena M.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":923036,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bruyere, Brett","contributorId":348149,"corporation":false,"usgs":false,"family":"Bruyere","given":"Brett","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":923037,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Solomon, Jennifer N.","contributorId":348152,"corporation":false,"usgs":false,"family":"Solomon","given":"Jennifer N.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":923038,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Niemiec, Rebecca M.","contributorId":348154,"corporation":false,"usgs":false,"family":"Niemiec","given":"Rebecca M.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":923039,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70261545,"text":"70261545 - 2025 - Reconstructing half a century of coregonine recruitment reveals species-specific dynamics and synchrony across the Laurentian Great Lakes","interactions":[],"lastModifiedDate":"2025-02-24T16:51:44.64255","indexId":"70261545","displayToPublicDate":"2024-12-05T08:46:27","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1936,"text":"ICES Journal of Marine Science","active":true,"publicationSubtype":{"id":10}},"title":"Reconstructing half a century of coregonine recruitment reveals species-specific dynamics and synchrony across the Laurentian Great Lakes","docAbstract":"Understanding how multiple species and populations vary in their recruitment dynamics can elucidate the processes driving recruitment across space and time. Lake Whitefish (Coregonus clupeaformis) and Cisco (C. artedi) are socioecologically important fishes across their range; however, many Laurentian Great Lakes populations have experienced declining, poor, or sporadic recruitment in recent decades. We integrated catch and age data from 38 long-term surveys across each of the Great Lakes and Lake Simcoe, resulting in a combined time series spanning 1960–2019. We estimated Lake Whitefish and Cisco year-class strength (YCS) in each lake using longitudinal mixed-effects regressions of relative cohort abundance. We subsequently quantified interspecific, spatial, and temporal synchrony in YCS using correlation and dynamic factor analyses. Lake Whitefish YCS was positively spatially synchronous on average, and YCS in all six lakes was elevated during the 1980s–1990s. In contrast, Cisco YCS was sporadic, not spatially synchronous, and highly variable around long-term, lake-specific means. YCS was not synchronous between species in any lake. Collectively, our analyses demonstrate that these species exhibit differential recruitment dynamics that may be regulated by species-specific factors. Results from this study can be leveraged in future research on the causes and consequences of cross-species, cross-basin recruitment variability.
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The coastline of Florida, U.S.A., is surrounded by thousands of islands, many of which are home to species that occur nowhere else. A rapidly emerging threat to these low-lying islands is inundation as sea levels rise. The capacity of island-dwelling species to adapt to climate change and sea level rise may be limited because many species do not have the ability to shift their distribution off the island to track favorable conditions. We assessed the vulnerability of Florida’s islands to inundation from sea level rise and estimated the terrestrial biodiversity on Florida’s islands that could be lost. Our models predicted that by 2100, over 80% and up to 90% of Florida’s islands could be completely inundated from sea level rise, depending on the sea level rise projection (1.2 m or 2.2 m). Of the 85 mammalian, reptilian, and amphibian species on our subset list of Florida’s Species of Greatest Conservation Need, over half occur on Florida’s islands for at least part of their range, highlighting the importance of these islands for housing Florida’s rich biodiversity. Notably, at least 12 mammal species and 7 reptile species have their entire distribution on Florida’s islands, and this count is likely an underestimate. Projections of future sea level rise mean that these island-endemic species face the threat of extinction in the wild if their island habitat is submerged.
","language":"English","publisher":"Springer","doi":"10.1007/s10531-024-02984-w","usgsCitation":"Koen, E.L., Barichivich, W.J., Braun De Torrez, E., and Walls, S., 2025, Sea level rise threatens Florida’s insular vertebrate biodiversity: Biodiversity and Conservation, v. 34, p. 513-530, https://doi.org/10.1007/s10531-024-02984-w.","productDescription":"18 p.","startPage":"513","endPage":"530","ipdsId":"IP-158013","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":466726,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10531-024-02984-w","text":"Publisher Index Page"},{"id":465186,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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0000-0002-8903-6776","orcid":"https://orcid.org/0000-0002-8903-6776","contributorId":347039,"corporation":false,"usgs":false,"family":"Braun De Torrez","given":"Elizabeth","email":"","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":921197,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walls, Susan 0000-0001-7391-9155","orcid":"https://orcid.org/0000-0001-7391-9155","contributorId":216235,"corporation":false,"usgs":true,"family":"Walls","given":"Susan","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":921198,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70266318,"text":"70266318 - 2025 - Evidence of extensive home range sharing among mother–daughter bobcat pairs in the wildland–urban interface of the Tucson Mountains","interactions":[],"lastModifiedDate":"2025-07-21T15:28:16.875928","indexId":"70266318","displayToPublicDate":"2024-12-05T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2333,"text":"Journal of Heredity","active":true,"publicationSubtype":{"id":10}},"title":"Evidence of extensive home range sharing among mother–daughter bobcat pairs in the wildland–urban interface of the Tucson Mountains","docAbstract":"Urbanization impacts the structure and viability of wildlife populations. Some habitat generalists, such as bobcats (Lynx rufus), maintain populations at the intersection of wild and urban habitats (wildland urban interface, WUI), but impacts of urbanization on bobcat social structure are not well understood. Although commonly thought to establish exclusive home ranges among females, instances of mother-daughter home range sharing have been documented. We combined GPS localities with genomic relatedness inferences from double-digest restriction site associated DNA sequencing (ddRADseq) to investigate mother-daughter home range sharing in bobcats (n = 38) at the WUI in the Tucson Mountains, Arizona, USA. We found the highest relatedness among females, which showed stronger isolation by distance than males and the population as a whole. Using mother-daughter relationships inferred from pedigree reconstruction, we found extensive mother-daughter home range sharing, compared to other females. Every mother identified as having at least one daughter, shared home ranges with one daughter, while other confirmed daughters established adjacent home ranges. Our results provide substantial support for the mother-daughter home range sharing hypothesis, as well as evidence of spatiotemporal overlap between mothers and daughters, adding to the body of research complicating the solitary felid paradigm. These results additionally challenge the notion of home range partitioning by prior rights land tenure, suggesting a role of matrilineal land tenure in home range establishment of daughters. Habitat fragmentation due to human population growth and urbanization thus has the potential to alter landscape genetic structure and social dynamics in bobcats.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/jhered/esae072","usgsCitation":"Payne, N., Andersen, D., Davis, R.A., Mollohan, C., Baldwin, K., LeCount, A., and Culver, M., 2025, Evidence of extensive home range sharing among mother–daughter bobcat pairs in the wildland–urban interface of the Tucson Mountains: Journal of Heredity, v. 116, no. 4, p. 408-421, https://doi.org/10.1093/jhered/esae072.","productDescription":"14 p.","startPage":"408","endPage":"421","ipdsId":"IP-164248","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":485382,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Tucson Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.14529091840008,\n 32.259253006313045\n ],\n [\n -111.14529091840008,\n 32.205866366622274\n ],\n [\n -111.05090112090083,\n 32.205866366622274\n ],\n [\n -111.05090112090083,\n 32.259253006313045\n ],\n [\n -111.14529091840008,\n 32.259253006313045\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"116","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-12-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Payne, Natalie","contributorId":287191,"corporation":false,"usgs":false,"family":"Payne","given":"Natalie","email":"","affiliations":[{"id":40855,"text":"UA","active":true,"usgs":false}],"preferred":false,"id":935573,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andersen, Desiree","contributorId":354400,"corporation":false,"usgs":false,"family":"Andersen","given":"Desiree","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":935574,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davis, Robert A.","contributorId":316401,"corporation":false,"usgs":false,"family":"Davis","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":26927,"text":"CSIRO, Australia","active":true,"usgs":false}],"preferred":false,"id":935575,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mollohan, Cheryl","contributorId":354401,"corporation":false,"usgs":false,"family":"Mollohan","given":"Cheryl","affiliations":[{"id":84623,"text":"Bobcats in Tucson Research Project","active":true,"usgs":false}],"preferred":false,"id":935576,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baldwin, Kerry","contributorId":354402,"corporation":false,"usgs":false,"family":"Baldwin","given":"Kerry","affiliations":[{"id":84623,"text":"Bobcats in Tucson Research Project","active":true,"usgs":false}],"preferred":false,"id":935577,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"LeCount, Albert L.","contributorId":354457,"corporation":false,"usgs":false,"family":"LeCount","given":"Albert L.","affiliations":[{"id":84623,"text":"Bobcats in Tucson Research Project","active":true,"usgs":false}],"preferred":false,"id":935723,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Culver, Melanie 0000-0001-5380-3059 mculver@usgs.gov","orcid":"https://orcid.org/0000-0001-5380-3059","contributorId":197693,"corporation":false,"usgs":true,"family":"Culver","given":"Melanie","email":"mculver@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":935578,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70263683,"text":"70263683 - 2025 - Hurricane wave energy dissipation and wave-driven currents over a fringing reef","interactions":[],"lastModifiedDate":"2025-02-20T15:50:37.166016","indexId":"70263683","displayToPublicDate":"2024-12-04T09:46:22","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1338,"text":"Coral Reefs","active":true,"publicationSubtype":{"id":10}},"title":"Hurricane wave energy dissipation and wave-driven currents over a fringing reef","docAbstract":"In 2018, two successive tropical cyclones, Hurricane Hector and Hurricane Lane, generated waves that impacted the Hawaiian Islands. This study investigates wave breaking over a broad fringing reef and aims to quantify the magnitudes and length scales of the corresponding wave-driven circulation using detailed field observations and numerical models corresponding to these wave events. Detailed wave and current measurements were collected across a 1200-m wide cross-reef transect off the coral reef-lined south coast of Moloka’i, Hawai’i. High-resolution numerical model grids were developed to resolve reef features and the coupled Delft3D-SWAN modeling system was applied to simulate spectral wave transformation and wave-driven currents for these two energetic ocean wave events generated by distant passing hurricanes. The results indicate that the wave-driven circulation is generally weak, with current speeds typically less than 0.15 m/s for the wave conditions generated by Hurricane Lane, with significant wave heights up to 1.9 m. Higher energy dissipation rates from larger waves up to 2.5 m breaking during Hurricane Hector resulted in stronger observed currents up to approximately 0.3 m/s. However, the model results show that these currents are confined to the wave-breaking region over the upper fore reef in a narrow (100–300 m) region near the reef crest, and weaker flows of less than 0.1 m/s are generated over the shallow and wide reef flat. Wave heights across the reef flat are less than 0.5 m and are controlled by the tidal water levels. The coral reef structures therefore provide significant protection for the coastline even during large wave and variable sea level conditions. Climate change is likely to increase sea level and storm intensity, the combination of which will influence wave transmission over fringing reefs that may degrade habitat, fueling the need for further research on changing conditions on coral reef-lined coasts.
","language":"English","publisher":"Springer","doi":"10.1007/s00338-024-02604-7","usgsCitation":"Zimmerman, Z., Mulligan, R., and Storlazzi, C.D., 2025, Hurricane wave energy dissipation and wave-driven currents over a fringing reef: Coral Reefs, v. 44, p. 291-308, https://doi.org/10.1007/s00338-024-02604-7.","productDescription":"18 p.","startPage":"291","endPage":"308","ipdsId":"IP-154227","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":482275,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Moloka'i","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -157.25144019635636,\n 21.108414838715447\n ],\n [\n -157.25144019635636,\n 21.065649812518444\n ],\n [\n -157.1105420908326,\n 21.065649812518444\n ],\n [\n -157.1105420908326,\n 21.108414838715447\n ],\n [\n -157.25144019635636,\n 21.108414838715447\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"44","noUsgsAuthors":false,"publicationDate":"2024-12-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Zimmerman, Zoe","contributorId":351060,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Zoe","affiliations":[{"id":83909,"text":"U.Queens","active":true,"usgs":false}],"preferred":false,"id":927812,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mulligan, Ryan","contributorId":330362,"corporation":false,"usgs":false,"family":"Mulligan","given":"Ryan","affiliations":[{"id":36943,"text":"Queens University","active":true,"usgs":false}],"preferred":false,"id":927813,"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":927814,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70261578,"text":"70261578 - 2025 - Evaluation of solid bitumen created from marine oil shale bituminite under hydrous and anhydrous pyrolysis conditions","interactions":[],"lastModifiedDate":"2024-12-16T15:48:58.338624","indexId":"70261578","displayToPublicDate":"2024-12-04T09:44:54","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2156,"text":"Journal of Analytical and Applied Pyrolysis","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of solid bitumen created from marine oil shale bituminite under hydrous and anhydrous pyrolysis conditions","docAbstract":"To test the influence of environmental conditions on aromaticity of solid bitumen generated during petroleum generation, four organic-rich (26–36 wt% total organic carbon) oil shale samples collected from the Neoproterozoic–Lower Cambrian restricted marine Salt Range Formation in the upper Indus Basin, Pakistan, were pyrolyzed under hydrous and anhydrous conditions. Experiments used closed system batch reactors at subcritical water temperatures between 300 and 370°C for 72 h. Thermal conversion of bituminite in the Salt Range oil shales created a newly formed solid bitumen, similar to previous observations from experiments on the Eocene lacustrine Green River Formation Mahogany zone oil shale. Newly formed solid bitumen in the Salt Range Formation oil shales generally has higher reflectance (Ro) in hydrous residues compared to anhydrous experiments subjected to the same time-temperature conditions, also similar to prior observations. This finding supports the hypothesis that radical disproportionation is favored in the presence of hydrogen contributed by water, promoting aromatization in the solid bitumen residue with concomitant increased expulsion of saturated hydrocarbons. Indigenous solid bitumen (and vitrinite in a comparison sample) also shows higher reflectance values in hydrous versus anhydrous residues, indicating that additional aromatization in the presence of exogenous hydrogen occurs both in newly formed organic matter and in organic matter that is present throughout the experiment. Despite similarities in their bulk rock geochemical screening parameters, Ro evolution shows different trajectories amongst the four Salt Range oil shales, suggesting as-yet undetermined differences in kinetic properties which are probably related to differences in a priori chemical composition. These results have implications for the use of solid bitumen reflectance (BRo) as a thermal proxy, suggesting BRo values and appearance could vary as a function of the concentration of water. Variation in water concentration may be present at the reservoir or formation scale, but may also be present at a much finer scale in tight oil shales where permeability is several orders of magnitude lower than conventional reservoirs. Therefore, local variations in the presence of water potentially could explain substantial variation in BRo values and appearance in closely spaced source rock samples and even within an individual microscope field.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jaap.2024.106881","usgsCitation":"Hackley, P.C., Valentine, B.J., McAleer, R.J., Hatcherian, J.J., Nedzweckas, J., McDevitt, B., and Khan, I., 2025, Evaluation of solid bitumen created from marine oil shale bituminite under hydrous and anhydrous pyrolysis conditions: Journal of Analytical and Applied Pyrolysis, v. 186, 106881, 16 p., https://doi.org/10.1016/j.jaap.2024.106881.","productDescription":"106881, 16 p.","ipdsId":"IP-166528","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":466681,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jaap.2024.106881","text":"Publisher Index Page"},{"id":465149,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"186","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":921092,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Valentine, Brett J. 0000-0002-8678-2431 bvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-8678-2431","contributorId":3846,"corporation":false,"usgs":true,"family":"Valentine","given":"Brett","email":"bvalentine@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":921093,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":921094,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatcherian, Javin J. 0000-0001-9151-6798 jhatcherian@usgs.gov","orcid":"https://orcid.org/0000-0001-9151-6798","contributorId":195770,"corporation":false,"usgs":true,"family":"Hatcherian","given":"Javin","email":"jhatcherian@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":921095,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nedzweckas, Jennifer 0000-0001-5838-3110","orcid":"https://orcid.org/0000-0001-5838-3110","contributorId":330863,"corporation":false,"usgs":true,"family":"Nedzweckas","given":"Jennifer","email":"","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":921096,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McDevitt, Bonnie 0000-0001-8390-0028","orcid":"https://orcid.org/0000-0001-8390-0028","contributorId":291246,"corporation":false,"usgs":true,"family":"McDevitt","given":"Bonnie","email":"","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":921097,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Khan, Imran","contributorId":342746,"corporation":false,"usgs":false,"family":"Khan","given":"Imran","email":"","affiliations":[{"id":81919,"text":"COMSATS Institute of Information and Technology","active":true,"usgs":false}],"preferred":false,"id":921098,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70261824,"text":"70261824 - 2025 - Arsenic accumulation in Sonora Mud Turtles (Kinosternon sonoriense) in an unusual freshwater food web","interactions":[],"lastModifiedDate":"2025-01-13T16:27:13.081258","indexId":"70261824","displayToPublicDate":"2024-12-04T08:30:10","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1210,"text":"Chelonian Conservation and Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Arsenic accumulation in Sonora Mud Turtles (Kinosternon sonoriense) in an unusual freshwater food web","title":"Arsenic accumulation in Sonora Mud Turtles (Kinosternon sonoriense) in an unusual freshwater food web","docAbstract":"Montezuma Well is an unusual fishless, spring-fed, desert wetland in central Arizona. Water in the wetland is naturally enriched with > 100 µg/l dissolved geogenic arsenic (As) and supports a simple aquatic food web dominated by a small number of endemic invertebrate species that achieve high abundances. Previous studies of As among various environmental compartments and organisms in Montezuma Well did not include omnivorous Sonora Mud turtles (Kinosternon sonoriense) despite their potential importance in the As cycle by virtue of their substantial biomass and role as top predators. We measured As concentrations in water, sediment, and organisms (macrophytes, amphipods, insects, leeches, and turtles) representing a range of trophic levels in order to document the importance of turtles at the apex of the Montezuma Well food web and in the As cycle. Concentrations of As in turtles varied according to tissue type. The greatest values (up to 26.77 mg/kg dry weight) were in the scutes of 1 of our oldest turtles (31.5 yrs). These elevated concentrations may be due to the affinity of As to react with sulfur in the keratin of scutes, and therefore might reflect duration of exposure in long-lived turtles. Although As concentrations generally tend to decrease when moving up to higher trophic levels in a food web, our results were different. Relatively elevated concentrations reported in sediments by us and a previous study declined in plant samples as expected. Amphipod concentrations increased but then decreased again in 3 of their invertebrate predators. Arsenic concentrations in endemic leeches were extremely elevated with a mean value of 72.2 mg/kg. The mean concentration of As in turtles was 7.08 mg/kg across tissue types and was greater than the plants or invertebrates they eat, with the notable exception of leeches, which have been proposed to be part of their diet.
","language":"English","publisher":"Chelonian Research Foundation","doi":"10.2744/CCB-1637.1","usgsCitation":"Lovich, J.E., Kulp, T., Drost, C.A., Macipríos, R., Knowles, S., and Ennen, J., 2025, Arsenic accumulation in Sonora Mud Turtles (Kinosternon sonoriense) in an unusual freshwater food web: Chelonian Conservation and Biology, v. 23, no. 2, p. 236-245, https://doi.org/10.2744/CCB-1637.1.","productDescription":"10 p.","startPage":"236","endPage":"245","ipdsId":"IP-168567","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":495025,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2744/ccb-1637.1","text":"Publisher Index Page"},{"id":465481,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Montezuma Well","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.74945623478341,\n 34.65420453797695\n ],\n [\n -111.76864231095536,\n 34.65420453797695\n ],\n [\n -111.76864231095536,\n 34.64304549914927\n ],\n [\n -111.74945623478341,\n 34.64304549914927\n ],\n [\n -111.74945623478341,\n 34.65420453797695\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"23","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":921960,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kulp, Thomas R.","contributorId":341956,"corporation":false,"usgs":false,"family":"Kulp","given":"Thomas R.","affiliations":[],"preferred":false,"id":921961,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Drost, Charles A. 0000-0002-4792-7095 charles_drost@usgs.gov","orcid":"https://orcid.org/0000-0002-4792-7095","contributorId":3151,"corporation":false,"usgs":true,"family":"Drost","given":"Charles","email":"charles_drost@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":921962,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Macipríos, Rodrigo","contributorId":347546,"corporation":false,"usgs":false,"family":"Macipríos","given":"Rodrigo","affiliations":[{"id":83188,"text":"Escuela Nacional de Estudios Superiores, Unidad Morelia. Universidad Nacional Atónoma de México, Antigua Carretera a Páztcuaro, No. 8701, Col. Ex Hacienda San José la Huerta, Morelia, Michoacán, 58190, México","active":true,"usgs":false}],"preferred":false,"id":921963,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Knowles, Susan 0000-0002-0254-6491 sknowles@usgs.gov","orcid":"https://orcid.org/0000-0002-0254-6491","contributorId":5254,"corporation":false,"usgs":true,"family":"Knowles","given":"Susan","email":"sknowles@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":921964,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ennen, Joshua R.","contributorId":60368,"corporation":false,"usgs":false,"family":"Ennen","given":"Joshua R.","affiliations":[{"id":13216,"text":"Tennessee Aquarium Conservation Institute","active":true,"usgs":false}],"preferred":false,"id":921965,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70261308,"text":"70261308 - 2025 - Assessing the sustainability of Pacific walrus harvest in a changing environment","interactions":[{"subject":{"id":70261311,"text":"70261311 - 2024 - Assessing the sustainability of Pacific walrus harvest in a changing environment","indexId":"70261311","publicationYear":"2024","noYear":false,"title":"Assessing the sustainability of Pacific walrus harvest in a changing environment"},"predicate":"SUPERSEDED_BY","object":{"id":70261308,"text":"70261308 - 2025 - Assessing the sustainability of Pacific walrus harvest in a changing environment","indexId":"70261308","publicationYear":"2025","noYear":false,"title":"Assessing the sustainability of Pacific walrus harvest in a changing environment"},"id":1}],"lastModifiedDate":"2024-12-26T17:01:54.834482","indexId":"70261308","displayToPublicDate":"2024-12-03T09:18:15","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the sustainability of Pacific walrus harvest in a changing environment","docAbstract":"Harvest sustainability is a primary goal of wildlife management and conservation, and in a changing world, it is increasingly important to consider environmental drivers of population dynamics alongside harvest in cohesive management plans. This is particularly pertinent for harvested species that acutely experience effects of climate change. The Pacific walrus (Odobenus rosmarus divergens), a crucial subsistence resource for Indigenous communities, is simultaneously subject to rapid habitat loss associated with diminishing sea ice and an increasing anthropogenic footprint in the Arctic. We developed a theta-logistic population modeling-management framework to evaluate various harvest scenarios combined with 4 potential climate and disturbance scenarios (ranging from optimistic to pessimistic, based largely on sea ice projections from general circulation models) to simulate Pacific walrus population dynamics to the end of the twenty-first century, focusing on the independent-aged female subset of the population. We considered 2 types of harvest strategies: 1) state-dependent harvest scenarios wherein we calculated harvest as a percentage of the population and updated annual harvests at set intervals as the population was reassessed, and 2) annually consistent harvest scenarios wherein annual harvest levels remain consistent into the future. All climate and disturbance scenarios indicated declines of varying severity in Pacific walrus abundance to the end of the twenty-first century, even in the absence of harvest. However, we found that a state-dependent annual harvest of 1.23% of the independent-aged female subset of the population (e.g., 1,280 independent-aged females harvested in 2020, similar to contemporary harvest levels) met our criterion for sustainability under all climate and disturbance scenarios, considering a medium risk tolerance level of 25%. This indicates that the present rate of Pacific walrus harvest is sustainable and will continue to be—provided the population is assessed at regular intervals and harvest is adapted to match changes in population dynamics. Our simulations indicate that a sustainable annually-consistent harvest is also possible but only at low levels if the population declines as expected. Applying a constant annual harvest of 1,280 independent-aged females failed to meet our criterion for sustainability under 3 of the 4 climate and disturbance scenarios we evaluated and had a higher probability of quasi-extinction than an equivalent state-dependent harvest scenario (1.23%). We highlight the importance of state-dependent management strategies and suggest our modeling framework is useful for managing harvest sustainability in a changing climate.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22686","usgsCitation":"Johnson, D.L., Eisaguirre, J.M., Taylor, R.L., Andersen, E.M., and Garlich-Miller, J.L., 2025, Assessing the sustainability of Pacific walrus harvest in a changing environment: Journal of Wildlife Management, v. 89, no. 1, e22686, 24 p., https://doi.org/10.1002/jwmg.22686.","productDescription":"e22686, 24 p.","ipdsId":"IP-154405","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":466682,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22686","text":"Publisher Index Page"},{"id":464804,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"89","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-12-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Devin L.","contributorId":340459,"corporation":false,"usgs":false,"family":"Johnson","given":"Devin","email":"","middleInitial":"L.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":920328,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eisaguirre, Joseph Michael 0000-0002-0450-8472","orcid":"https://orcid.org/0000-0002-0450-8472","contributorId":301980,"corporation":false,"usgs":true,"family":"Eisaguirre","given":"Joseph","email":"","middleInitial":"Michael","affiliations":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"preferred":true,"id":920329,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor, Rebecca L. 0000-0001-8459-7614 rebeccataylor@usgs.gov","orcid":"https://orcid.org/0000-0001-8459-7614","contributorId":5112,"corporation":false,"usgs":true,"family":"Taylor","given":"Rebecca","email":"rebeccataylor@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":920330,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Andersen, Erik M.","contributorId":346944,"corporation":false,"usgs":false,"family":"Andersen","given":"Erik","email":"","middleInitial":"M.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":920331,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Garlich-Miller, Joel L.","contributorId":288799,"corporation":false,"usgs":false,"family":"Garlich-Miller","given":"Joel","email":"","middleInitial":"L.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":920332,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70261366,"text":"70261366 - 2025 - The joint effect of changes in urbanization and climate on trends in floods: A comparison of panel and single-station quantile regression approaches","interactions":[],"lastModifiedDate":"2024-12-12T16:08:12.325121","indexId":"70261366","displayToPublicDate":"2024-12-03T09:01:42","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"The joint effect of changes in urbanization and climate on trends in floods: A comparison of panel and single-station quantile regression approaches","docAbstract":"Food webs vary in space and time. The structure and spatial arrangement of food webs are theorized to mediate temporal dynamics of energy flow, but empirical corroboration in intermediate-scale landscapes is scarce. River-floodplain landscapes encompass a mosaic of aquatic habitat patches and food webs, supporting a variety of aquatic consumers of conservation concern. How the structure and productivity of these patch-scale food webs change through time, and how floodplain restoration influences their dynamics, are unevaluated. We measured productivity and food-web dynamics across a mosaic of main-channel and side-channel habitats of the Methow River, WA, USA, during two study years (2009–2010; 2015–2016) and examined how food webs that sustained juvenile anadromous salmonids responded to habitat manipulation. By quantifying temporal variation in secondary production and organic matter flow across nontreated river-floodplain habitats and comparing that variation to a side channel treated with engineered logjams, we jointly confronted spatial food-web theory and assessed whether food-web dynamics in the treated side channel exceeded natural variation exhibited in nontreated habitats. We observed that organic matter flow through the more complex, main-channel food web was similar between study years, whereas organic matter flow through the simpler, side-channel food webs changed up to ~4-fold. In the side channel treated with engineered logjams, production of benthic invertebrates and juvenile salmonids increased between study years by 2× and 4×, respectively; however, these changes did not surpass the temporal variation observed in untreated habitats. For instance, juvenile salmonid production rose 17-fold in one untreated side-channel habitat, and natural aggregation of large wood in another coincided with a shift to community and food-web dominance by juvenile salmonids. Our findings suggest that interannual dynamism in material flux across floodplain habitat mosaics is interrelated with patchiness in food-web complexity and may overshadow the ecological responses to localized river restoration. Although this dynamism may inhibit detection of the ecological effects of river restoration, it may also act to stabilize aquatic ecosystems and buffer salmon and other species of conservation concern in the long term. As such, natural, landscape-level patchiness and dynamism in food webs should be integrated into conceptual foundations of process-based, river restoration.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.3076","usgsCitation":"Paris, J.C., Baxter, C., Bellmore, J.R., and Benjamin, J.R., 2025, Food-web dynamics of a floodplain mosaic overshadow the effects of engineered logjams for Pacific salmon and steelhead: Ecological Applications, v. 35, no. 1, e3076, 23 p., https://doi.org/10.1002/eap.3076.","productDescription":"e3076, 23 p.","ipdsId":"IP-151230","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":466729,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/eap.3076","text":"External Repository"},{"id":464883,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Methow River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.43926241854005,\n 48.51497614236396\n ],\n [\n -120.38466701987723,\n 48.356895467806\n ],\n [\n -120.23907929011094,\n 48.21979647888803\n ],\n [\n -120.13716787927437,\n 48.051167461690994\n ],\n [\n -119.86419088596195,\n 48.041434947321164\n ],\n [\n -119.96428245017665,\n 48.46191072355339\n ],\n [\n -120.12988849278594,\n 48.54871574139371\n ],\n [\n -120.43926241854005,\n 48.51497614236396\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"35","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-12-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Paris, James C.","contributorId":346985,"corporation":false,"usgs":false,"family":"Paris","given":"James","email":"","middleInitial":"C.","affiliations":[{"id":38154,"text":"Idaho State University","active":true,"usgs":false}],"preferred":false,"id":920465,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baxter, Colden V.","contributorId":272243,"corporation":false,"usgs":false,"family":"Baxter","given":"Colden V.","affiliations":[{"id":56375,"text":"isu","active":true,"usgs":false}],"preferred":false,"id":920466,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bellmore, James R 0000-0002-5140-6460","orcid":"https://orcid.org/0000-0002-5140-6460","contributorId":195609,"corporation":false,"usgs":false,"family":"Bellmore","given":"James","email":"","middleInitial":"R","affiliations":[],"preferred":false,"id":920467,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Benjamin, Joseph R. 0000-0003-3733-6838 jbenjamin@usgs.gov","orcid":"https://orcid.org/0000-0003-3733-6838","contributorId":3999,"corporation":false,"usgs":true,"family":"Benjamin","given":"Joseph","email":"jbenjamin@usgs.gov","middleInitial":"R.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":920468,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70271139,"text":"70271139 - 2025 - Restoration treatments enhance tree growth and alter climatic constraints during extreme drought","interactions":[],"lastModifiedDate":"2025-08-28T15:32:38.300191","indexId":"70271139","displayToPublicDate":"2024-12-03T00:00:00","publicationYear":"2025","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":"Restoration treatments enhance tree growth and alter climatic constraints during extreme drought","docAbstract":"The frequency and severity of drought events are predicted to increase due to anthropogenic climate change, with cascading effects across forested ecosystems. Management activities such as forest thinning and prescribed burning, which are often intended to mitigate fire hazard and restore ecosystem processes, may also help promote tree resistance to drought. However, it is unclear whether these treatments remain effective during the most severe drought conditions or whether their impacts differ across environmental gradients. We used tree-ring data from a system of replicated, long-term (>20 years) experiments in the southwestern United States to evaluate the effects of forest restoration treatments (i.e., evidence-based thinning and burning) on annual growth rates (i.e., basal area increment; BAI) of ponderosa pine (Pinus ponderosa), a broadly distributed and heavily managed species in western North America. The study sites were established at the onset of the most extreme drought event in at least 1200 years and span much of the climatic niche of Rocky Mountain ponderosa pine. Across sites, tree-level BAI increased due to treatment, where trees in treated units grew 133.1% faster than trees in paired, untreated units. Likewise, trees in treated units grew an average of 85.6% faster than their pre-treatment baseline levels (1985 to ca. 2000), despite warm, dry conditions in the post-treatment period (ca. 2000–2018). Variation in the local competitive environment promoted variation in BAI, and larger trees were the fastest-growing individuals, irrespective of treatment. Tree thinning and prescribed fire altered the climatic constraints on growth, decreasing the effects of belowground moisture availability and increasing the effects of atmospheric evaporative demand over multi-year timescales. Our results illustrate that restoration treatments can enhance tree-level growth across sites spanning ponderosa pine's climatic niche, even during recent, extreme drought events. However, shifting climatic constraints, combined with predicted increases in evaporative demand in the southwestern United States, suggest that the beneficial effects of such treatments on tree growth may wane over the upcoming decades.
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