Fishing gear entanglements can compromise health and lower survival and reproductive output of wildlife, which can slow population growth or cause population declines. However, entanglements may go unobserved, making it difficult to quantify their effects on individuals' vital rates and a population's trajectory. Fishing gear entanglements are a leading cause of death for North Atlantic right whales, Eubalaena glacialis, an endangered species whose population has declined substantially over the last decade. Key sources of observation error have not been addressed when quantifying the effects of entanglement on this species. We formulated a hidden Markov model that integrated 28 years of photo identification records, visual health assessments, entanglement assessments, and hormone assays to estimate body condition dynamics, and entanglement, survival, and reproductive rates of female North Atlantic right whales. The model also accounted for observation errors, including entanglements and reproductive events that were unobserved. Whales entangled in fishing gear were drastically more likely to experience declines in body condition and had lower survival rates than whales that were not entangled. Additionally, only whales in good body condition became pregnant. Between 1994 and 2021 entanglements reduced the expected number of calves born by 12.9% (95% credible interval: 8.2%–19.6%) and the expected number of females alive at the end of 2021 by 18.5% (95% credible interval: 8.6%–29.4%). Fishing gear entanglements have reduced the North Atlantic right whale population's capacity to recover and have increased the importance of the health and survival of the remaining living whales. Therefore, reducing the risk of fishing gear entanglements is likely necessary for the population to recover.
","language":"English","publisher":"Zoological Society of London","doi":"10.1111/acv.13016","usgsCitation":"Crum, N.J., Gowan, T., Hostetler, J.A., Schick, R., Knowlton, A., Pettis, H., Hamilton, P., and Rolland, R., 2025, Unobserved individual and population level impacts of fishing gear entanglements on North Atlantic right whales: Animal Conservation, https://doi.org/10.1111/acv.13016.","ipdsId":"IP-151853","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":487726,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/acv.13016","text":"Publisher Index Page"},{"id":483051,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2025-02-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Crum, Nathan J.","contributorId":200016,"corporation":false,"usgs":false,"family":"Crum","given":"Nathan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":929958,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gowan, Timothy A.","contributorId":335405,"corporation":false,"usgs":false,"family":"Gowan","given":"Timothy A.","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":929959,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hostetler, J. A. 0000-0003-3669-1758","orcid":"https://orcid.org/0000-0003-3669-1758","contributorId":11319,"corporation":false,"usgs":true,"family":"Hostetler","given":"J.","middleInitial":"A.","affiliations":[],"preferred":true,"id":929960,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schick, Robert S.","contributorId":352043,"corporation":false,"usgs":false,"family":"Schick","given":"Robert S.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":929961,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Knowlton, Amy R.","contributorId":352046,"corporation":false,"usgs":false,"family":"Knowlton","given":"Amy R.","affiliations":[{"id":37373,"text":"New England Aquarium","active":true,"usgs":false}],"preferred":false,"id":929962,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pettis, Heather M.","contributorId":352049,"corporation":false,"usgs":false,"family":"Pettis","given":"Heather M.","affiliations":[{"id":37373,"text":"New England Aquarium","active":true,"usgs":false}],"preferred":false,"id":929963,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hamilton, Philip K.","contributorId":352052,"corporation":false,"usgs":false,"family":"Hamilton","given":"Philip K.","affiliations":[{"id":37373,"text":"New England Aquarium","active":true,"usgs":false}],"preferred":false,"id":929964,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rolland, Rosalind M.","contributorId":352055,"corporation":false,"usgs":false,"family":"Rolland","given":"Rosalind M.","affiliations":[{"id":37373,"text":"New England Aquarium","active":true,"usgs":false}],"preferred":false,"id":929965,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70264730,"text":"70264730 - 2025 - An unexplained tsunami: Was there megathrust slip during the 2020 Mw7.6 Sand Point, Alaska, earthquake?","interactions":[],"lastModifiedDate":"2025-03-21T15:08:55.785308","indexId":"70264730","displayToPublicDate":"2025-02-12T07:59:39","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17454,"text":"Seismica","active":true,"publicationSubtype":{"id":10}},"title":"An unexplained tsunami: Was there megathrust slip during the 2020 Mw7.6 Sand Point, Alaska, earthquake?","docAbstract":"On October 19, 2020, the Mw7.6 Sand Point earthquake struck south of the Shumagin Islands in Alaska. Moment tensors indicate the earthquake was primarily strike-slip, yet the event produced an enigmatic tsunami that was larger and more widespread than expected for an earthquake of that magnitude and mechanism. Using a suite of hydrodynamic, seismic, and geodetic modeling techniques, we explore plausible causes of the tsunami. We find that strike-slip models consistent with the moment tensor orientation cannot produce the observed tsunami. Hydrodynamic inversion of sea surface deformation from deep ocean and tide gauge data suggest seafloor deformation more closely matches a megathrust, rather than a strike-slip, source. Static slip inversions, using sea level and Global Navigation Satellite System data, allow for a portion of co-seismic megathrust slip that can explain tsunamigenesis. Combining all available geophysical datasets to model the kinematic rupture, we show that considerable, relatively slow, megathrust slip is allowable in the Shumagin segment, concurrent with strike-slip faulting. We hypothesize that the slow megathrust rupture does not contribute much seismic radiation allowing it to previously go unnoticed with traditional seismic monitoring.
","language":"English","publisher":"McGill","doi":"10.26443/seismica.v4i1.1336","usgsCitation":"Santellanes, S., Goldberg, D.E., Koch, P., Melgar, D., Yeck, W.L., Crowell, B.W., and Lin, J., 2025, An unexplained tsunami: Was there megathrust slip during the 2020 Mw7.6 Sand Point, Alaska, earthquake?: Seismica, v. 4, no. 1, p. 1-13, https://doi.org/10.26443/seismica.v4i1.1336.","productDescription":"13 p.","startPage":"1","endPage":"13","ipdsId":"IP-156090","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":488362,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.26443/seismica.v4i1.1336","text":"Publisher Index Page"},{"id":483661,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Sand Point","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -160.8287429707048,\n 55.46546760592042\n ],\n [\n -160.8287429707048,\n 55.238590952487215\n ],\n [\n -160.19346063892195,\n 55.238590952487215\n ],\n [\n -160.19346063892195,\n 55.46546760592042\n ],\n [\n -160.8287429707048,\n 55.46546760592042\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"4","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-02-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Santellanes, Sean R. 0000-0003-4181-437X","orcid":"https://orcid.org/0000-0003-4181-437X","contributorId":347848,"corporation":false,"usgs":false,"family":"Santellanes","given":"Sean R.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":931475,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goldberg, Dara Elyse 0000-0002-0923-3180","orcid":"https://orcid.org/0000-0002-0923-3180","contributorId":289891,"corporation":false,"usgs":true,"family":"Goldberg","given":"Dara","email":"","middleInitial":"Elyse","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":931476,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koch, Pablo","contributorId":294680,"corporation":false,"usgs":false,"family":"Koch","given":"Pablo","email":"","affiliations":[{"id":63624,"text":"National Seismological Center, University of Chile","active":true,"usgs":false}],"preferred":false,"id":931477,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Melgar, Diego","contributorId":341315,"corporation":false,"usgs":false,"family":"Melgar","given":"Diego","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":931478,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yeck, William L. 0000-0002-2801-8873 wyeck@usgs.gov","orcid":"https://orcid.org/0000-0002-2801-8873","contributorId":147558,"corporation":false,"usgs":true,"family":"Yeck","given":"William","email":"wyeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":931479,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Crowell, Brendan W.","contributorId":184207,"corporation":false,"usgs":false,"family":"Crowell","given":"Brendan","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":931480,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lin, Jiun-Ting 0000-0002-8134-9612","orcid":"https://orcid.org/0000-0002-8134-9612","contributorId":347849,"corporation":false,"usgs":false,"family":"Lin","given":"Jiun-Ting","affiliations":[{"id":13621,"text":"Lawrence Livermore National Laboratory","active":true,"usgs":false}],"preferred":false,"id":931481,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70263581,"text":"70263581 - 2025 - Characterizing sedimentary organic carbon in a hydrothermal spreading center, the Escanaba Trough","interactions":[],"lastModifiedDate":"2025-02-14T15:03:36.006981","indexId":"70263581","displayToPublicDate":"2025-02-12T07:53:08","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing sedimentary organic carbon in a hydrothermal spreading center, the Escanaba Trough","docAbstract":"Sediments in critical marine mineral environments are of wide importance due to their preservation of both marine minerals and organic carbon (OC) stocks. However, OC storage and cycling is often overlooked in mineral system studies. This work characterizes sedimentary OC within the Escanaba Trough, a hydrothermal sulfide system off the coast of northern California. By utilizing ROV-based push coring, we collected sediments near and far from high temperature, low temperature, and inactive vents. We applied a multipronged organic geochemical approach, measuring bulk sediment, OC fractions of varying labilities, and biomarkers to tease apart the storage, source, and cycling of OC within this complex system. In contrast to past work indicating a primarily terrestrial source to deeper, Pleistocene sediments, our results suggest a primarily marine source in surface sediments at least 50 m away from active venting. Near active venting, we see evidence of locally produced chemosynthetic OC in addition to the background marine source. This chemosynthetic OC appears to be rapidly remineralized and supports more complex deep-sea food webs compared to hemipelagic sites. Still, the greatest contribution of labile OC was observed at inactive vent sites, which we suggest is due to hydrothermal fluid alteration of more labile OC at actively venting sites. Depending on fluid temperature, hydrothermally altered OC is either preserved in the sediments as petroleum or migrated with fluid flow. Considering inactive sites are those most likely to be targeted by potential mining, we suggest additional studies could verify if these results apply at other sedimented seafloor massive sulfide systems.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2025.122679","usgsCitation":"Ianiri, H., Campbell‐Swarzenski, P., Gartman, A., and Prouty, N.G., 2025, Characterizing sedimentary organic carbon in a hydrothermal spreading center, the Escanaba Trough: Chemical Geology, 122679, 60 p., https://doi.org/10.1016/j.chemgeo.2025.122679.","productDescription":"122679, 60 p.","ipdsId":"IP-168413","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488035,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.chemgeo.2025.122679","text":"Publisher Index Page"},{"id":482099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Escanaba Trough, northern California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -126.72381872698759,\n 41.772325453523365\n ],\n [\n -126.72381872698759,\n 40.268162133594274\n ],\n [\n -123.95340029935534,\n 40.268162133594274\n ],\n [\n -123.95340029935534,\n 41.772325453523365\n ],\n [\n -126.72381872698759,\n 41.772325453523365\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ianiri, Hope Lee","contributorId":350947,"corporation":false,"usgs":true,"family":"Ianiri","given":"Hope Lee","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":927423,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell‐Swarzenski, Pamela L. 0000-0002-2232-6381","orcid":"https://orcid.org/0000-0002-2232-6381","contributorId":210642,"corporation":false,"usgs":true,"family":"Campbell‐Swarzenski","given":"Pamela L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":927424,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gartman, Amy 0000-0001-9307-3062 agartman@usgs.gov","orcid":"https://orcid.org/0000-0001-9307-3062","contributorId":177057,"corporation":false,"usgs":true,"family":"Gartman","given":"Amy","email":"agartman@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":927425,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":927426,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70263934,"text":"70263934 - 2025 - Crater detection dependence on resolution, incidence angle, emission angle, and phase angle","interactions":[],"lastModifiedDate":"2025-03-03T14:45:24.410812","indexId":"70263934","displayToPublicDate":"2025-02-12T07:41:14","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Crater detection dependence on resolution, incidence angle, emission angle, and phase angle","docAbstract":"Impact crater population detection and measurement is critical to understanding solar system bodies and dynamics. However, the ability to detect all possible craters under different lighting and camera geometries has not been systematically studied except in a few limited cases. This work presents the first systematic study examining crater detection based on resolution, incidence angle, emission angle, and phase angle, by three independent researchers to also test reliability of our conclusions. We found the best incidence angles for crater detection to be ∼74°–82°. We found little dependence on emission angle with geometries as high as ∼60°, while phase angles ∼20°–75° produce reliable crater populations. Resolution requires at least 6 pixels, and it is likely researcher-, geometry-, and terrain-specific. This work reveals potential biases in crater analysts' work and can be used for missions planning encounters so they can achieve the best, most reliable recovery of crater populations.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024GL110570","usgsCitation":"Robbins, S., Kirchoff, M., and Ostrach, L.R., 2025, Crater detection dependence on resolution, incidence angle, emission angle, and phase angle: Geophysical Research Letters, v. 52, no. 4, e2024GL110570, 7 p., https://doi.org/10.1029/2024GL110570.","productDescription":"e2024GL110570, 7 p.","ipdsId":"IP-167872","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":487715,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024gl110570","text":"Publisher Index Page"},{"id":482729,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-02-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Robbins, Stuart J.","contributorId":351637,"corporation":false,"usgs":false,"family":"Robbins","given":"Stuart J.","affiliations":[{"id":41659,"text":"SWRI","active":true,"usgs":false}],"preferred":false,"id":929181,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirchoff, Michelle R.","contributorId":351638,"corporation":false,"usgs":false,"family":"Kirchoff","given":"Michelle R.","affiliations":[{"id":41659,"text":"SWRI","active":true,"usgs":false}],"preferred":false,"id":929182,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ostrach, Lillian R. 0000-0002-3107-7321 lostrach@usgs.gov","orcid":"https://orcid.org/0000-0002-3107-7321","contributorId":193078,"corporation":false,"usgs":true,"family":"Ostrach","given":"Lillian","email":"lostrach@usgs.gov","middleInitial":"R.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":929183,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70266780,"text":"70266780 - 2025 - Terrebonne Basin, Gulf of Mexico gas hydrate resource evaluation and 3-D modeling of basin-scale sedimentation, salt tectonics, and hydrate system evolution since the early Miocene","interactions":[],"lastModifiedDate":"2025-05-13T16:16:28.57162","indexId":"70266780","displayToPublicDate":"2025-02-11T11:10:50","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"Terrebonne Basin, Gulf of Mexico gas hydrate resource evaluation and 3-D modeling of basin-scale sedimentation, salt tectonics, and hydrate system evolution since the early Miocene","docAbstract":"In assessing methane hydrate as a potential transitional energy source, quantification of in-place volumes of gas is a first step—and yet, global, regional, and even local estimates of gas volumes contained within hydrate are highly variable, including within the extensively-studied Gulf of Mexico (GoM) gas hydrate province. Here, we construct the first 3-D basin and hydrocarbon system model of the Terrebonne Basin (Walker Ridge protraction area, northern GoM) to estimate in-place resources contained as gas within hydrate, as well as to provide the first estimate of in-place resources contained within free gas accumulations in the basin. The resultant model-predicted 3-D distributions (and saturations) of hydrate are consistent with independent seismic interpretation and borehole observations. This study reveals both sedimentation-driven and salt diapir-driven gas hydrate recycling produce elevated hydrate saturations in the basin (“recycling” occurs when relative upward shifts of the gas hydrate stability zone (GHSZ) cause hydrate dissociation, generating buoyant free gas that may reaccumulate as higher-saturation hydrate at the new base of GHSZ). An important finding of this study (particularly given that, globally, the source of methane in marine hydrate systems tends to be poorly understood) is that microbial sources can explain most or all hydrate occurrences in Terrebonne Basin. We calculate that ∼32 × 109 m3 (∼1.1 1012 ft3) of methane gas is trapped within hydrate accumulations throughout Terrebonne Basin, while nearly 2 × 109 m3 (∼67 × 109 ft3) of methane occurs as free gas at high saturations within sandy reservoirs beneath the GHSZ and ∼35 × 109 m3 (∼1.2 × 1012 ft3) occurs as free gas at low saturations within muddy units beneath the GHSZ. In total, our calibrated 3-D model predicts that nearly 70 × 109 m3 (∼2.5 × 1012 ft3) of microbial methane is trapped as gas hydrate and free gas in the Terrebonne Basin.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2025.107330","usgsCitation":"Dafov, L., Burton, Z.F., Haines, S.S., Hosford Scheirer, A., Masurek, N., Boswell, R., Frye, M., Seol, Y., and Graham, S., 2025, Terrebonne Basin, Gulf of Mexico gas hydrate resource evaluation and 3-D modeling of basin-scale sedimentation, salt tectonics, and hydrate system evolution since the early Miocene: Marine and Petroleum Geology, v. 176, 107330, 18 p., https://doi.org/10.1016/j.marpetgeo.2025.107330.","productDescription":"107330, 18 p.","ipdsId":"IP-167026","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":488201,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.marpetgeo.2025.107330","text":"Publisher Index Page"},{"id":485832,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"176","noUsgsAuthors":false,"publicationDate":"2025-02-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Dafov, Laura","contributorId":354989,"corporation":false,"usgs":false,"family":"Dafov","given":"Laura","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":936752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burton, Zachary FM","contributorId":302277,"corporation":false,"usgs":false,"family":"Burton","given":"Zachary","email":"","middleInitial":"FM","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":936753,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haines, Seth S. 0000-0003-2611-8165 shaines@usgs.gov","orcid":"https://orcid.org/0000-0003-2611-8165","contributorId":1344,"corporation":false,"usgs":true,"family":"Haines","given":"Seth","email":"shaines@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":936754,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hosford Scheirer, Allegra","contributorId":67995,"corporation":false,"usgs":true,"family":"Hosford Scheirer","given":"Allegra","affiliations":[],"preferred":false,"id":936755,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Masurek, Nicole","contributorId":354998,"corporation":false,"usgs":false,"family":"Masurek","given":"Nicole","affiliations":[{"id":84692,"text":"Schlumberger Center of Excellence for Petroleum Systems Modeling","active":true,"usgs":false}],"preferred":false,"id":936756,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boswell, Ray","contributorId":354999,"corporation":false,"usgs":false,"family":"Boswell","given":"Ray","affiliations":[{"id":84695,"text":"US DOE","active":true,"usgs":false}],"preferred":false,"id":936757,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Frye, Matthew","contributorId":197799,"corporation":false,"usgs":false,"family":"Frye","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":936758,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Seol, Yongkoo","contributorId":195139,"corporation":false,"usgs":false,"family":"Seol","given":"Yongkoo","email":"","affiliations":[],"preferred":false,"id":936759,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Graham, Stephan A.","contributorId":293143,"corporation":false,"usgs":false,"family":"Graham","given":"Stephan A.","affiliations":[{"id":63235,"text":"Stanford Univeristy","active":true,"usgs":false}],"preferred":false,"id":936760,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70270670,"text":"70270670 - 2025 - Direct effects of pesticides and other grassland management practices on the North American Monarch Butterfly (Danaus plexippus plexippus): A systematic review","interactions":[],"lastModifiedDate":"2025-08-25T13:32:18.579903","indexId":"70270670","displayToPublicDate":"2025-02-11T09:55:38","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"CSS-165-2025","displayTitle":"Direct effects of pesticides and other grassland management practices on the North American monarch butterfly (Danaus plexippus plexippus): A systematic review","title":"Direct effects of pesticides and other grassland management practices on the North American Monarch Butterfly (Danaus plexippus plexippus): A systematic review","docAbstract":"This review synthesizes recent scientific literature on the effects of grassland management practices and pesticide applications on monarch butterflies (Danaus plexippus), focusing on studies published since the 2020 U.S. Fish and Wildlife Service Species Status Assessment (SSA). While the SSA highlighted habitat conservation efforts to enhance monarch populations, there has been limited empirical research on the direct effects of these management strategies on monarch survival and fitness. Following PRISMA guidelines, we conducted a systematic review to evaluate research published during and after the SSA (2019-2024) on the direct effects of common grassland management practices (mowing, grazing, burning, haying) and pesticides (herbicides, insecticides, fungicides) across monarch life stages. This search identified 29 studies that met our criteria. Of these, only two studies addressed the impacts of grassland management on monarchs, indicating a substantial and important information gap. The other 27 studies reviewed indicate significant risks of pesticide exposure to monarchs, particularly at immature life stages from lethal and sublethal effects. The effects of chronic insecticide exposure, particularly neonicotinoids, are especially critical to consider, as research shows insecticides can result in impairment of growth, development, and reproductive behaviors. Additionally, fungicides pose overlooked risks to monarchs due to their toxicity to non-target organisms. Notably, most studies evaluating pesticide effects were conducted in a laboratory setting and thus it is unclear how these results relate to fieldrealistic exposure, as well as exposure over multiple life history stages and potential synergistic effects of pesticides. Additional relevant information gaps remain, especially on studies of southern migratory paths critical for monarch population persistence. Data gaps at relevant scales for grassland management combined with growing evidence of pesticide persistence and subsequent threats to insects, highlight how more ecologically applicable metrics for monitoring environmental chemicals could help improve understanding of the effects of pesticides on monarchs and characterize contamination of milkweed and nectar resources.
","language":"English","publisher":"U.S. Fish and Wildlife Services","doi":"10.3996/css42647160","usgsCitation":"McCulloch, E., Morphew, A., and Webb, E.B., 2025, Direct effects of pesticides and other grassland management practices on the North American Monarch Butterfly (Danaus plexippus plexippus): A systematic review: Cooperator Science Series CSS-165-2025, ii, 73 p., https://doi.org/10.3996/css42647160.","productDescription":"ii, 73 p.","ipdsId":"IP-173146","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":494519,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2025-02-11","publicationStatus":"PW","contributors":{"authors":[{"text":"McCulloch, Elyssa C.","contributorId":355940,"corporation":false,"usgs":false,"family":"McCulloch","given":"Elyssa C.","affiliations":[{"id":84869,"text":"Formerly - USGS NPWRC","active":true,"usgs":false}],"preferred":false,"id":946806,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morphew, Alex","contributorId":360407,"corporation":false,"usgs":false,"family":"Morphew","given":"Alex","affiliations":[],"preferred":false,"id":947016,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":947017,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70263918,"text":"70263918 - 2025 - Road salt collection and redistribution at an urban rain garden on sandy soil, Gary, Indiana","interactions":[],"lastModifiedDate":"2025-02-28T15:33:47.700472","indexId":"70263918","displayToPublicDate":"2025-02-11T09:28:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Road salt collection and redistribution at an urban rain garden on sandy soil, Gary, Indiana","docAbstract":"Rain gardens installed as green infrastructure to divert storm runoff from entering combined sewers also collect dissolved constituents and particulates. An urban rain garden in northwestern Indiana, USA, was continuously monitored from November 2019 to May 2021 to evaluate the fate of dissolved constituents entering the rain garden in runoff. Physical and chemical properties of soils in the rain garden were also monitored, along with underlying groundwater. Linear regression models relating specific conductance to chloride concentration indicated that the 0.0371-ha (3998 square feet) rain garden collected approximately 1490 kg (3285 pounds) of road salt from the surrounding 0.2228 ha (24,500 square feet) of impervious surfaces. Soils and groundwater were seasonally affected by road salt application but carryover from year to year was not indicated. Rain garden soil permeability (5.20 × 10−5 to 9.72 × 10−5 m/s) remained unchanged during the study period and soil organic carbon generally increased under native vegetation. The results suggest that a rain garden built on sandy soil can divert substantial quantities of runoff and dissolved constituents from combined sewers; however, chloride is transported to sub-infrastructure groundwater that eventually discharges to adjacent waterways with concentrations lower than those observed in runoff.
","language":"English","publisher":"MDPI","doi":"10.3390/w17040510","usgsCitation":"Bayless, E.R., Naylor, S., Lampe, D.C., Story, A., and Artz, C., 2025, Road salt collection and redistribution at an urban rain garden on sandy soil, Gary, Indiana: Water, v. 17, no. 4, 510, 25 p., https://doi.org/10.3390/w17040510.","productDescription":"510, 25 p.","ipdsId":"IP-126325","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":489968,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w17040510","text":"Publisher Index Page"},{"id":482638,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Indiana","city":"Gary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -87.33710281880745,\n 41.603842124498556\n ],\n [\n -87.33710281880745,\n 41.60260759598816\n ],\n [\n -87.33586794894438,\n 41.60260759598816\n ],\n [\n -87.33586794894438,\n 41.603842124498556\n ],\n [\n -87.33710281880745,\n 41.603842124498556\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-02-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Bayless, E. Randall 0000-0002-0357-3635","orcid":"https://orcid.org/0000-0002-0357-3635","contributorId":42586,"corporation":false,"usgs":true,"family":"Bayless","given":"E.","email":"","middleInitial":"Randall","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":929086,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Naylor, Shawn 0000-0003-0710-1560","orcid":"https://orcid.org/0000-0003-0710-1560","contributorId":333771,"corporation":false,"usgs":true,"family":"Naylor","given":"Shawn","email":"","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":929087,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lampe, David C. 0000-0002-8904-0337 dclampe@usgs.gov","orcid":"https://orcid.org/0000-0002-8904-0337","contributorId":2441,"corporation":false,"usgs":true,"family":"Lampe","given":"David","email":"dclampe@usgs.gov","middleInitial":"C.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":929088,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Story, Amy A 0000-0003-1926-9811","orcid":"https://orcid.org/0000-0003-1926-9811","contributorId":350865,"corporation":false,"usgs":true,"family":"Story","given":"Amy A","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":929089,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Artz, Caleb Colyer 0009-0002-3049-6062","orcid":"https://orcid.org/0009-0002-3049-6062","contributorId":350866,"corporation":false,"usgs":true,"family":"Artz","given":"Caleb Colyer","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":929090,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70264128,"text":"70264128 - 2025 - Examining the role of elevated and sustained strain in dynamically triggering earthquakes on the Anza section of the San Jacinto fault","interactions":[],"lastModifiedDate":"2025-03-26T16:07:23.508604","indexId":"70264128","displayToPublicDate":"2025-02-11T08:33:39","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Examining the role of elevated and sustained strain in dynamically triggering earthquakes on the Anza section of the San Jacinto fault","docAbstract":"Microearthquakes can be dynamically triggered in southern California by remote earthquakes. However, directly connecting dynamic triggering mechanisms with observational data remains challenging. One proposed failure mechanism suggests that both the amplitude and duration of cyclic fatigue caused by the passing seismic wave contribute to triggering occurrence. Here, we measure dynamic strains recorded by borehole strainmeters in the Anza section of the San Jacinto fault zone from 710 earthquakes that occurred over 300 km away between 2008 and 2017 to systematically investigate the role of elevated and sustained strain in controlling dynamic triggering. We design a suite of tests to evaluate whether specific amplitude thresholds and durations of strain can predict dynamic triggering cases. We further test whether the peak dynamic strain (PDS) can predict triggering occurrence in combination with the strain amplitude and duration. Based on these tests, there is no strain amplitude–duration threshold that can distinguish triggering occurrence in Anza. Dynamic triggering is more likely to occur if a remote earthquake causes a PDS above 100 nanostrain, though many cases were triggered at smaller PDSs. The lack of clear correlation between triggering and characteristics of the dynamic strain field suggests that the tested features of the incoming waves do not determine triggering occurrence and local fault conditions and slip processes are more important in controlling dynamic triggering in Anza.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120240079","usgsCitation":"DeSalvio, N., Barbour, A.J., and Fan, W., 2025, Examining the role of elevated and sustained strain in dynamically triggering earthquakes on the Anza section of the San Jacinto fault: Bulletin of the Seismological Society of America, v. 115, no. 2, p. 452-468, https://doi.org/10.1785/0120240079.","productDescription":"17 p.","startPage":"452","endPage":"468","ipdsId":"IP-166033","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":483056,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Anza","otherGeospatial":"southern California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.83265495625426,\n 33.66435535714875\n ],\n [\n -116.83265495625426,\n 33.48533709134661\n ],\n [\n -116.5242645931615,\n 33.48533709134661\n ],\n [\n -116.5242645931615,\n 33.66435535714875\n ],\n [\n -116.83265495625426,\n 33.66435535714875\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"115","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-02-11","publicationStatus":"PW","contributors":{"authors":[{"text":"DeSalvio, Nicolas","contributorId":352016,"corporation":false,"usgs":false,"family":"DeSalvio","given":"Nicolas","affiliations":[{"id":25459,"text":"SIO","active":true,"usgs":false}],"preferred":false,"id":929914,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barbour, Andrew J. 0000-0002-6890-2452","orcid":"https://orcid.org/0000-0002-6890-2452","contributorId":215339,"corporation":false,"usgs":true,"family":"Barbour","given":"Andrew","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":929915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fan, Wenyuan","contributorId":174007,"corporation":false,"usgs":false,"family":"Fan","given":"Wenyuan","email":"","affiliations":[{"id":6728,"text":"Scripps Inst Oceanography","active":true,"usgs":false}],"preferred":false,"id":929916,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70263420,"text":"ofr20251002 - 2025 - Developing research tools for demographic study of Rhynchophanes mccownii (thick-billed longspurs)","interactions":[],"lastModifiedDate":"2025-02-11T14:34:32.333366","indexId":"ofr20251002","displayToPublicDate":"2025-02-10T10:24:24","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-1002","displayTitle":"Developing Research Tools for Demographic Study of Rhynchophanes mccownii (Thick-billed Longspurs)","title":"Developing research tools for demographic study of Rhynchophanes mccownii (thick-billed longspurs)","docAbstract":"Like numerous other North American grassland bird species, Rhynchophanes mccownii (thick-billed longspur) has experienced severe population declines in the last 50 years. Little is known about population-limiting factors, and knowledge gaps limit conservation efforts on the species; however, before research studies aimed at improving conservation and management actions can be developed, other research must resolve notable knowledge gaps that exist in field techniques for efficient and effective large-scale demographic studies. We examined several techniques for the capture, marking (metal, color bands, and transmitters), and reencountering (resights and telemetry) of thick-billed longspurs in croplands and prairies in Valley County, Montana, during the 2022 and 2023 breeding seasons. Our goal was to evaluate the feasibility of obtaining within- and between-season resights of individual thick-billed longspurs using optical equipment and cameras, transmitter receivers, and the Motus automatic receiving station network. This report includes observations and insights that may aid researchers embarking on future demographic studies of thick-billed longspurs, as well as other grassland birds that provide similar research challenges.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251002","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","programNote":"Species Management Research Program","usgsCitation":"Ring, M.M., Swift, R.J., Anteau, M.J., Igl, L.D., Seamans, M.E., Somershoe, S.G., VonBank, J.A., Yeiser, J.M., and MacDonald, G.J., 2025, Developing research tools for demographic study of Rhynchophanes mccownii (thick-billed longspurs): U.S. Geological Survey Open-File Report 2025–1002, 33 p., https://doi.org/10.3133/ofr20251002.","productDescription":"viii, 33 p.","numberOfPages":"46","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-164375","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":481844,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1002/coverthb.jpg"},{"id":481848,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251002/full"},{"id":481847,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1002/images/"},{"id":481846,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1002/ofr20251002.XML"},{"id":481845,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1002/ofr20251002.pdf","text":"Report","size":"6.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025–1002"}],"contact":"Director, Northern Prairie Wildlife Research Center
U.S. Geological Survey
8711 37th Street SE
Jamestown, ND 58401
Understanding habitat selection is critical in habitat prioritization for species of conservation and management concern. Information on habitat selection is particularly important for grassland bird species whose populations have suffered steep declines over the last few decades. We assessed ring-necked pheasants' (Phasianus colchicus) habitat selection in a dynamic agricultural landscape. The population dynamics of pheasants are partially related to nest survival, which may be influenced by the quality of nesting habitat. Consequently, knowledge of vegetation composition and structural characteristics associated with the selection and survival of nests would help inform management decisions to improve nest success. We monitored nests from 103 radio-collared pheasants inhabiting an agricultural landscape in South Dakota, USA, from 2017–2019 to determine the effect of landscape composition and configuration on nest-site selection and nest survival. We explored nesting behavior at 2 orders of selection: resource selection within the home range (third order) and selection of specific resource items from a resource patch (fourth order). Proportion of row crop and connectivity of row crop was negatively associated with nest-site selection at the third order. At the fourth order, pheasants tended to select for taller vegetation and greater percent grass cover than at paired random sites. Pheasants also selected areas with more grasslands. A 1% increase in grass cover and proportion of grassland increased the odds of nest-site selection by 1% and 2%, respectively. Connectivity of row crop patches was negatively associated with daily nest survival. We also evaluated factors affecting pheasant brood-site selection. A 1-unit increase in grass cover and Hemiptera biomass increased the odds of brood-site selection by 4%. The probability of brood-site selection also increased with fewer row crop patches. Weather played a crucial role in driving nest survival. The consideration of local weather trends and regional variation in habitat can inform habitat management for pheasants. Pheasant populations may benefit from research that identifies thermal landscapes and land management techniques that promote cooler microclimates for nesting and brood-rearing activities.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70003","usgsCitation":"Harsh, S., Lonsinger, R.C., Kauth, H., and Gregory, A., 2025, Weather, habitat area, connectivity, and number of patches influence breeding ecology of ring-necked pheasants: Journal of Wildlife Management, v. 89, no. 4, e70003, 22 p., https://doi.org/10.1002/jwmg.70003.","productDescription":"e70003, 22 p.","ipdsId":"IP-154336","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":484494,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","county":"Beadle County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-98.7069,44.6348],[-98.4483,44.6325],[-97.9766,44.6321],[-97.8554,44.6312],[-97.8555,44.5454],[-97.853,44.5453],[-97.8506,44.1964],[-98.332,44.1974],[-98.3365,44.1975],[-98.7012,44.1979],[-98.6994,44.4354],[-98.7034,44.5481],[-98.7066,44.5481],[-98.7069,44.6348]]]},\"properties\":{\"name\":\"Beadle\",\"state\":\"SD\"}}]}","volume":"89","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-02-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Harsh, Sprih","contributorId":353214,"corporation":false,"usgs":false,"family":"Harsh","given":"Sprih","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":933165,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lonsinger, Robert Charles 0000-0002-1040-7299","orcid":"https://orcid.org/0000-0002-1040-7299","contributorId":340524,"corporation":false,"usgs":true,"family":"Lonsinger","given":"Robert","email":"","middleInitial":"Charles","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":933166,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kauth, Hilary R.","contributorId":353217,"corporation":false,"usgs":false,"family":"Kauth","given":"Hilary R.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":933167,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gregory, Andrew J.","contributorId":353220,"corporation":false,"usgs":false,"family":"Gregory","given":"Andrew J.","affiliations":[{"id":34637,"text":"University of North Texas","active":true,"usgs":false}],"preferred":false,"id":933168,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70265052,"text":"70265052 - 2025 - Exploring the science and data foundation for Federal public lands decisions","interactions":[],"lastModifiedDate":"2025-04-01T14:33:16.699808","indexId":"70265052","displayToPublicDate":"2025-02-10T09:27:45","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":"Exploring the science and data foundation for Federal public lands decisions","docAbstract":"Public lands provide diverse resources, values, and services worldwide. Laws and policies typically require consideration of science in public lands decisions, and resource managers are committed to science-informed decision-making. However, it can be challenging for managers to use, and document the use of, science and data in their decisions. To better understand science and data use in Federal public lands decisions in the United States, we assessed the number, type, and age of documents cited in 70 Environmental Assessments (EAs) completed by the Bureau of Land Management (BLM) in Colorado from 2015–2019. We focused on the BLM, as they manage the largest area of public lands in the United States. We selected Colorado as our study area, as actions proposed on BLM lands in Colorado are representative of those across the nation. Fifty percent of citations were categorized as science and 23% as data. EAs contained an average of 17 citations (range 0–111), with documents analyzing effects of oil and gas development and recreation actions including the highest and lowest mean number of citations (41 and 6, respectively). Of individual resource analysis sections within EAs, 24% contained ≥1 science citation and 21% contained ≥1 data citation. Journal articles were the most cited type of document (26% of citations) followed by non-BLM inventories (13%). Forty-seven percent of citations were relatively recent (2010 or later); the oldest citation was from 1927. Commonly analyzed resources with the highest mean number of citations were socioeconomics, mineral resources, and noise. Fourteen of 33 commonly analyzed resources included <1 citation on average. Actions and resources with no or few citations represent opportunities for strengthening the transparent use of science and data in public lands decision-making.
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However, for most populations a complete census is not possible; thus, trends or abundance need to be estimated through alternative means, such as indexes. An important aspect of using indexes, such as capture per unit effort (CPUE), is validating them as accurate or precise predictors of population trends or abundance. We completed such analyses using data collected from visual surveys and trapping for brown treesnakes (Boiga irregularis) within a 5-ha enclosure that was undergoing a continuous population decline. During a ~ 6-year period, we censused and marked the snake population to fully enumerated the population, with new individuals resulting from births and removals resulting only from mortality (natural or experimental). From trapping and visual surveys, we were also able to calculate CPUE as a function of trap nights or km surveyed and used regressions to forecast snake density (snakes/km) in the enclosure from CPUE. We also rarefied the true dataset to measure whether reductions in sampling intensity, either temporally or spatially, affected the accuracy or precision in predicting snake density from CPUE. We found that trap CPUE demonstrated no statistical relationship to density based on our study methods. CPUE during visual surveys did predict actual density, with sufficient spatial and temporal sampling intensity. CPUE from visual surveys was relatively robust against reductions in temporal sampling when spatial intensity remained high. However, reductions in the spatial area covered to less than 50% of the enclosure rapidly reduced the accuracy and precision in using CPUE to forecast density. Our results indicate that visual surveys are a relatively accurate measure of true density for brown treesnakes, given sufficient spatial sampling effort. The spatial area of coverage required for CPUE to accurately predict changes in abundance was, however, intense with > 50% of the spatial area required to be sampled on a given sampling night. Our results indicate that CPUE is only reliable as an index of abundance or population trends for cryptic snakes, if sampling effort covers most of the landscape over which populations are being estimated.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0317764","usgsCitation":"Nafus, M., Hanslowe, E.B., and Goetz, S.M., 2025, The accuracy of capture per unit effort in predicting density of a cryptic snake was more sensitive to reductions in spatial than temporal coverage: PLoS ONE, v. 20, no. 2, e0317764, 15 p., https://doi.org/10.1371/journal.pone.0317764.","productDescription":"e0317764, 15 p.","ipdsId":"IP-151357","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":487742,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0317764","text":"Publisher Index Page"},{"id":482905,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Guam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 144.57580570546742,\n 13.686292533777149\n ],\n [\n 144.57580570546742,\n 13.237404452388134\n ],\n [\n 144.9652940566009,\n 13.237404452388134\n ],\n [\n 144.9652940566009,\n 13.686292533777149\n ],\n [\n 144.57580570546742,\n 13.686292533777149\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"20","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-02-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Nafus, Melia Gail 0000-0002-7325-3055","orcid":"https://orcid.org/0000-0002-7325-3055","contributorId":245717,"corporation":false,"usgs":true,"family":"Nafus","given":"Melia Gail","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":929687,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanslowe, Emma B. 0000-0003-4331-6729","orcid":"https://orcid.org/0000-0003-4331-6729","contributorId":265394,"corporation":false,"usgs":false,"family":"Hanslowe","given":"Emma","email":"","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":929688,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goetz, Scott Michael 0000-0002-8705-5316","orcid":"https://orcid.org/0000-0002-8705-5316","contributorId":228868,"corporation":false,"usgs":true,"family":"Goetz","given":"Scott","email":"","middleInitial":"Michael","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":929689,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70263598,"text":"70263598 - 2025 - A fire deficit persists across diverse North American forests despite recent increases in area burned","interactions":[],"lastModifiedDate":"2025-02-18T15:08:19.333441","indexId":"70263598","displayToPublicDate":"2025-02-10T09:01:20","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"A fire deficit persists across diverse North American forests despite recent increases in area burned","docAbstract":"Rapid increases in wildfire area burned across North American forests pose novel challenges for managers and society. Increasing area burned raises questions about whether, and to what degree, contemporary fire regimes (1984–2022) are still departed from historical fire regimes (pre-1880). We use the North American tree-ring fire-scar network (NAFSN), a multi-century record comprising >1800 fire-scar sites spanning diverse forest types, and contemporary fire perimeters to ask whether there is a contemporary fire surplus or fire deficit, and whether recent fire years are unprecedented relative to historical fire regimes. Our results indicate, despite increasing area burned in recent decades, that a widespread fire deficit persists across a range of forest types and recent years with exceptionally high area burned are not unprecedented when considering the multi-century perspective offered by fire-scarred trees. For example, ‘record’ contemporary fire years such as 2020 burned 6% of NAFSN sites—the historical average—well below the historical maximum of 29% sites that burned in 1748. Although contemporary fire extent is not unprecedented across many North American forests, there is abundant evidence that unprecedented contemporary fire severity is driving forest loss in many ecosystems and adversely impacting human lives, infrastructure, and water supplies.
","language":"English","publisher":"Nature","doi":"10.1038/s41467-025-56333-8","usgsCitation":"Parks, S., Guiterman, C., Margolis, E.Q., Lonergan, M., Whitman, E., Abatzoglou, J.T., Falk, D.A., Johnston , J., Daniels, L., Lafon, C.W., Loehman, R.A., Kipfmueller, K.F., Naficy, C.E., Parisien, M., Portier, J., Stambaugh, M.C., Williams, A.P., Wion, A.P., and Yocom, L., 2025, A fire deficit persists across diverse North American forests despite recent increases in area burned: Nature Communications, v. 16, 1493, 13 p., https://doi.org/10.1038/s41467-025-56333-8.","productDescription":"1493, 13 p.","ipdsId":"IP-171157","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":487647,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-025-56333-8","text":"Publisher Index 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","contributorId":223434,"corporation":false,"usgs":false,"family":"Johnston ","given":"James B. ","affiliations":[],"preferred":false,"id":927486,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Daniels, Lori D.","contributorId":298159,"corporation":false,"usgs":false,"family":"Daniels","given":"Lori D.","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":927484,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lafon, Charles W.","contributorId":204193,"corporation":false,"usgs":false,"family":"Lafon","given":"Charles","email":"","middleInitial":"W.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":927488,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Loehman, Rachel A. 0000-0001-7680-1865 rloehman@usgs.gov","orcid":"https://orcid.org/0000-0001-7680-1865","contributorId":187605,"corporation":false,"usgs":true,"family":"Loehman","given":"Rachel","email":"rloehman@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":false,"id":927489,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kipfmueller, Kurt F.","contributorId":298185,"corporation":false,"usgs":false,"family":"Kipfmueller","given":"Kurt","email":"","middleInitial":"F.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":927487,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Naficy, Cameron E.","contributorId":298154,"corporation":false,"usgs":false,"family":"Naficy","given":"Cameron","email":"","middleInitial":"E.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":927490,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Parisien, Marc-Andre","contributorId":347851,"corporation":false,"usgs":false,"family":"Parisien","given":"Marc-Andre","affiliations":[{"id":13540,"text":"Canadian Forest Service","active":true,"usgs":false}],"preferred":false,"id":927491,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Portier, Jeanne","contributorId":298155,"corporation":false,"usgs":false,"family":"Portier","given":"Jeanne","email":"","affiliations":[{"id":52726,"text":"Swiss Federal Institute for Forest, Snow and Landscape Research WSL","active":true,"usgs":false}],"preferred":false,"id":927492,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Stambaugh, Michael C.","contributorId":202826,"corporation":false,"usgs":false,"family":"Stambaugh","given":"Michael","email":"","middleInitial":"C.","affiliations":[{"id":13706,"text":"University of Missouri-Columbia","active":true,"usgs":false}],"preferred":false,"id":927493,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Williams, A. Park","contributorId":200207,"corporation":false,"usgs":false,"family":"Williams","given":"A.","email":"","middleInitial":"Park","affiliations":[{"id":27369,"text":"Lamont-Doherty Earth Observatory at Columbia University","active":true,"usgs":false}],"preferred":false,"id":927494,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Wion, Andreas Paul 0000-0002-0701-2843","orcid":"https://orcid.org/0000-0002-0701-2843","contributorId":335166,"corporation":false,"usgs":true,"family":"Wion","given":"Andreas","email":"","middleInitial":"Paul","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":927495,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Yocom, Larissa","contributorId":224404,"corporation":false,"usgs":false,"family":"Yocom","given":"Larissa","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":927496,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70263819,"text":"70263819 - 2025 - Long-term trends in microseismicity during operational shut-ins at the Coso Geothermal Field, California","interactions":[],"lastModifiedDate":"2025-02-25T15:34:45.908287","indexId":"70263819","displayToPublicDate":"2025-02-10T08:29:43","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10542,"text":"The Seismic Record","active":true,"publicationSubtype":{"id":10}},"title":"Long-term trends in microseismicity during operational shut-ins at the Coso Geothermal Field, California","docAbstract":"Pausing injection and production can lead to induced seismicity in a variety of settings, with some of the largest events occurring during these so-called shut-ins. In geothermal fields, shut-ins are periodically conducted for maintenance on wells and surface infrastructure, thereby offering recurring means of estimating stress changes in the subsurface that lead to increased seismicity rates. Here, we examine daily production and microseismicity data from the Coso Geothermal Field (CGF) in California between 1996 and 2010 to investigate the repetitive trends of operational shut-in microseismicity. Using 24 local seismic stations, we first analyze spatial and temporal trends of over 60,000 earthquakes with magnitudes between -0.4 to 3.8. We find that the northern region exhibits no significant seismicity changes during shut-ins, whereas the rest of the field experiences induced seismicity during almost every shut-in with an increasing intensity towards the southern and eastern portions of the field, highlighting local differences in stress within the CGF. Additionally, we cluster the seismicity using waveform cross-correlation, revealing several earthquake clusters primarily occurring during shut-in periods. These observations suggest that certain fracture and fault sections respond quicker to changes in pore pressure and poroelastic stresses within the geothermal system, possibly highlighting main fluid pathways.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0320240041","usgsCitation":"Holmgren, J., Kaven, J., and Oye, V., 2025, Long-term trends in microseismicity during operational shut-ins at the Coso Geothermal Field, California: The Seismic Record, v. 5, no. 1, p. 73-82, https://doi.org/10.1785/0320240041.","productDescription":"10 p.","startPage":"73","endPage":"82","ipdsId":"IP-170795","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":487678,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0320240041","text":"Publisher Index Page"},{"id":482446,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Coso Geothermal Field","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.93842593182427,\n 36.34881073898275\n ],\n [\n -117.93842593182427,\n 36.12479363858705\n ],\n [\n -117.62601162670973,\n 36.12479363858705\n ],\n [\n -117.62601162670973,\n 36.34881073898275\n ],\n [\n -117.93842593182427,\n 36.34881073898275\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"5","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-02-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Holmgren, Joanna","contributorId":351460,"corporation":false,"usgs":false,"family":"Holmgren","given":"Joanna","affiliations":[{"id":18074,"text":"NORSAR","active":true,"usgs":false}],"preferred":false,"id":928536,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaven, J. Ole 0000-0003-2625-2786 okaven@usgs.gov","orcid":"https://orcid.org/0000-0003-2625-2786","contributorId":3993,"corporation":false,"usgs":true,"family":"Kaven","given":"J. 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However, sensors that record SWC at high frequencies often malfunction, leading to incomplete timeseries and limiting our understanding of dryland ecosystem dynamics. We developed an analytical approach to impute missing SWC data, which we tested at six eddy flux tower sites along an elevation gradient in the southwestern United States. We impute missing data as a mixture of linearly interpolated SWC between the observed endpoints of a missing data gap and SWC simulated by an ecosystem water balance model (SOILWAT2). Within a Bayesian framework, we allowed the relative utility (mixture weight) of each component (linearly interpolated vs. SOILWAT2) to vary by depth, site and gap characteristics. We explored “fixed” weights versus “dynamic” weights that vary as a function of cumulative precipitation, average temperature, and time since the start of the gap. Both models estimated missing SWC data well (R2 = 0.70–0.88 vs. 0.75–0.91 for fixed vs. dynamic weights, respectively), but the utility of linearly interpolated versus SOILWAT2 values depended on site and depth. SOILWAT2 was more useful for more arid sites, shallower depths, longer and warmer gaps and gaps that received greater precipitation. Overall, the mixture model reliably gap-fills SWC, while lending insight into processes governing SWC dynamics. This approach to impute missing data could be adapted to accommodate more than two mixture components and other types of environmental timeseries.
","language":"English","publisher":"Wiley","doi":"10.1002/eco.70004","usgsCitation":"Ogle, K., Reich, E., Samuels-Crow, K., Litvak, M., Bradford, J., Schlaepfer, D.R., and Devan, M., 2025, Filling the gaps: A Bayesian mixture model for imputing missing soil water content data: Ecohydrology, v. 18, no. 1, e70004, 17 p., https://doi.org/10.1002/eco.70004.","productDescription":"e70004, 17 p.","ipdsId":"IP-163652","costCenters":[{"id":49226,"text":"Northwest Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":490127,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/eco.70004","text":"External Repository"},{"id":486071,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -109.07993996238093,\n 37.04473109056555\n ],\n [\n -109.07993996238093,\n 31.382778545525298\n ],\n [\n -103.04352625964134,\n 31.382778545525298\n ],\n [\n -103.04352625964134,\n 37.04473109056555\n ],\n [\n -109.07993996238093,\n 37.04473109056555\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"18","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-02-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Ogle, Kiona","contributorId":248351,"corporation":false,"usgs":false,"family":"Ogle","given":"Kiona","email":"","affiliations":[],"preferred":false,"id":937346,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reich, Emma","contributorId":355440,"corporation":false,"usgs":false,"family":"Reich","given":"Emma","affiliations":[{"id":84751,"text":"School of Informatics, Computing, and Cyber Systems, Northern Arizona University, Flagstaff, Arizona, U.S.A.","active":true,"usgs":false}],"preferred":false,"id":937347,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Samuels-Crow, Kimberly","contributorId":289104,"corporation":false,"usgs":false,"family":"Samuels-Crow","given":"Kimberly","email":"","affiliations":[{"id":62051,"text":"School of Informatics, Computing, and Cyber Systems; Northern Arizona University, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":937348,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Litvak, Marcy","contributorId":216915,"corporation":false,"usgs":false,"family":"Litvak","given":"Marcy","affiliations":[{"id":39549,"text":"University of New Mexico: Albuquerque, NM","active":true,"usgs":false}],"preferred":false,"id":937349,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":937350,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schlaepfer, Daniel Rodolphe 0000-0001-9973-2065","orcid":"https://orcid.org/0000-0001-9973-2065","contributorId":225569,"corporation":false,"usgs":true,"family":"Schlaepfer","given":"Daniel","email":"","middleInitial":"Rodolphe","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":937351,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Devan, Megan","contributorId":355441,"corporation":false,"usgs":false,"family":"Devan","given":"Megan","affiliations":[{"id":84752,"text":"Department of Biology, University of New Mexico, Albuquerque, New Mexico, 87131, U.S.A.","active":true,"usgs":false}],"preferred":false,"id":937352,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70263449,"text":"70263449 - 2025 - Climate change effects on ecosystem services: Disentangling drivers of mixed responses","interactions":[],"lastModifiedDate":"2025-02-11T15:17:25.745332","indexId":"70263449","displayToPublicDate":"2025-02-10T08:13:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2978,"text":"PLoS","active":true,"publicationSubtype":{"id":10}},"title":"Climate change effects on ecosystem services: Disentangling drivers of mixed responses","docAbstract":"Climate change is a pervasive hazard that impacts the supply and demand of ecosystem goods and services (EGS) that maintain human well-being. A recent review found that the impacts of climate change on EGS are sometimes mixed, posing challenges for managers who need to adapt to these changes. We expand on earlier work by exploring drivers of varying responses of EGS to climate within studies. We conducted a systematic review of English-language papers directly assessing climate change impacts on the supply, demand, or monetary value of ‘provisioning EGS’, ‘regulating EGS’, or ‘cultural EGS’. Ultimately, 44 papers published from December 2014 to March 2018 were analyzed. Nearly 66% of EGS were assessed for higher-income countries despite how lower-income countries disproportionately face negative climate impacts. Around 59% of observations or projections were mixed responses of EGS to climate change. Differences in climate impacts to EGS across space or climate scenarios were the most common causes of mixed responses, followed by mixed responses across time periods assessed. Disaggregating findings by drivers is valuable because mixed responses were often due to multiple drivers of variation. Carefully considering the decision context and desired outcome of a study will help select appropriate methodology to detect EGS variation. Although studies have often assessed relevant drivers of variation, assessing interactions of other sources of uncertainty and both climate and non-climate drivers may support more effective management decisions that holistically account for different values in the face of uncertainty.","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0306017","usgsCitation":"Delos, M., Johnson, C.G., Weiskopf, S.R., and Cushing, J., 2025, Climate change effects on ecosystem services: Disentangling drivers of mixed responses: PLoS, v. 20, no. 2, e0306017, 21 p., https://doi.org/10.1371/journal.pone.0306017.","productDescription":"e0306017, 21 p.","ipdsId":"IP-128783","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":487637,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0306017","text":"Publisher Index Page"},{"id":481926,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-02-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Delos, Marcy C.","contributorId":350807,"corporation":false,"usgs":false,"family":"Delos","given":"Marcy C.","affiliations":[{"id":12909,"text":"George Mason University","active":true,"usgs":false}],"preferred":false,"id":927022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Ciara G.","contributorId":271273,"corporation":false,"usgs":false,"family":"Johnson","given":"Ciara","email":"","middleInitial":"G.","affiliations":[{"id":12909,"text":"George Mason University","active":true,"usgs":false}],"preferred":false,"id":927024,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weiskopf, Sarah R. 0000-0002-5933-8191","orcid":"https://orcid.org/0000-0002-5933-8191","contributorId":207699,"corporation":false,"usgs":true,"family":"Weiskopf","given":"Sarah","email":"","middleInitial":"R.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":927023,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cushing, Janet Alice","contributorId":350809,"corporation":false,"usgs":true,"family":"Cushing","given":"Janet Alice","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":927025,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70266568,"text":"70266568 - 2025 - A real-time fish detection system for partially dewatered fish to support selective fish passage","interactions":[],"lastModifiedDate":"2025-05-09T14:23:25.631013","indexId":"70266568","displayToPublicDate":"2025-02-09T09:15:02","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3380,"text":"Sensors","active":true,"publicationSubtype":{"id":10}},"title":"A real-time fish detection system for partially dewatered fish to support selective fish passage","docAbstract":"Recent advances in fish transportation technologies and deep machine learning-based fish classification have created an opportunity for real-time, autonomous fish sorting through a selective passage mechanism. This research presents a case study of a novel application that utilizes deep machine learning to detect partially dewatered fish exiting an Archimedes Screw Fish Lift (ASFL). A MobileNet SSD model was trained on images of partially dewatered fish volitionally passing through an ASFL. Then, this model was integrated with a network video recorder to monitor video from the ASFL. Additional models were also trained using images from a similar fish scanning device to test the feasibility of this approach for fish classification. Open source software and edge computing design principles were employed to ensure that the system is capable of fast data processing. The findings from this research demonstrate that such a system integrated with an ASFL can support real-time fish detection. This research contributes to the goal of automated data collection in a selective fish passage system and presents a viable path towards realizing optical fish sorting.
","language":"English","publisher":"MDPI","doi":"10.3390/s25041022","usgsCitation":"Gregory, J., Miehls, S.M., Eickholt, J., and Zielinski, D., 2025, A real-time fish detection system for partially dewatered fish to support selective fish passage: Sensors, v. 25, no. 4, 1022, 23 p., https://doi.org/10.3390/s25041022.","productDescription":"1022, 23 p.","ipdsId":"IP-174633","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":490109,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/s25041022","text":"Publisher Index Page"},{"id":485641,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Swan River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -83.71462217594592,\n 45.40023637231536\n ],\n [\n -83.78015729775288,\n 45.40023637231536\n ],\n [\n -83.78015729775288,\n 45.337445622308564\n ],\n [\n -83.71462217594592,\n 45.337445622308564\n ],\n [\n -83.71462217594592,\n 45.40023637231536\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"25","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Gregory, Jonathan","contributorId":354850,"corporation":false,"usgs":false,"family":"Gregory","given":"Jonathan","affiliations":[{"id":13588,"text":"Central Michigan University","active":true,"usgs":false}],"preferred":false,"id":936574,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miehls, Scott M. 0000-0002-5546-1854 smiehls@usgs.gov","orcid":"https://orcid.org/0000-0002-5546-1854","contributorId":5007,"corporation":false,"usgs":true,"family":"Miehls","given":"Scott","email":"smiehls@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":936575,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eickholt, Jesse","contributorId":205582,"corporation":false,"usgs":false,"family":"Eickholt","given":"Jesse","email":"","affiliations":[{"id":13588,"text":"Central Michigan University","active":true,"usgs":false}],"preferred":false,"id":936576,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zielinski, Daniel","contributorId":245798,"corporation":false,"usgs":false,"family":"Zielinski","given":"Daniel","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":936577,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70263464,"text":"70263464 - 2025 - Applications of unoccupied aerial systems (UAS) in landscape ecology: A review of recent research, challenges and emerging opportunities","interactions":[],"lastModifiedDate":"2025-02-12T14:53:37.848481","indexId":"70263464","displayToPublicDate":"2025-02-08T08:43:25","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Applications of unoccupied aerial systems (UAS) in landscape ecology: A review of recent research, challenges and emerging opportunities","docAbstract":"Unoccupied aerial systems/vehicles (UAS/UAV, a.k.a. drones) have become an increasingly popular tool for ecological research. But much of the recent research is concerned with developing mapping and detection approaches, with few studies attempting to link UAS data to ecosystem processes and function. Landscape ecologists have long used high resolution imagery and spatial analyses to address ecological questions and are therefore uniquely positioned to advance UAS research for ecological applications.
The review objectives are to: (1) provide background on how UAS are used in landscape ecological studies, (2) identify major advancements and research gaps, and (3) discuss ways to better facilitate the use of UAS in landscape ecology research.
We conducted a systematic review based on PRISMA guidelines using key search terms that are unique to landscape ecology research. We reviewed only papers that applied UAS data to investigate questions about ecological patterns, processes, or function.
We summarize metadata from 161 papers that fit our review criteria. We highlight and discuss major research themes and applications, sensors and data collection techniques, image processing, feature extraction and spatial analysis, image fusion and satellite scaling, and open data and software.
We observed a diversity of UAS methods, applications, and creative spatial modeling and analysis approaches. Key aspects of UAS research in landscape ecology include modeling wildlife micro-habitats, scaling of ecosystem functions, landscape and geomorphic change detection, integrating UAS with historical aerial and satellite imagery, and novel applications of spatial statistics.
","language":"English","publisher":"Springer","doi":"10.1007/s10980-024-02040-6","usgsCitation":"Villarreal, M.L., Bishop, T., Sankey, T., Smith, W.K., Burgess, M.A., Caughlin, T., Gillan, J.K., Havrilla, C., Huang, T., LeBeau, R., Norton, C., Sankey, J., Scholl, V.M., Von Nonn, J.W., and Yao, E., 2025, Applications of unoccupied aerial systems (UAS) in landscape ecology: A review of recent research, challenges and emerging opportunities: Landscape Ecology, v. 40, 43, 32 p., https://doi.org/10.1007/s10980-024-02040-6.","productDescription":"43, 32 p.","ipdsId":"IP-165776","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":487638,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10980-024-02040-6","text":"Publisher Index Page"},{"id":481973,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","noUsgsAuthors":false,"publicationDate":"2025-02-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":927062,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bishop, Tara B.B.","contributorId":215034,"corporation":false,"usgs":false,"family":"Bishop","given":"Tara B.B.","affiliations":[{"id":39160,"text":"Department of Plant and Wildlife Sciences, Brigham Young University, Provo, UT USA","active":true,"usgs":false}],"preferred":false,"id":927063,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sankey, Temuulen Ts.","contributorId":350813,"corporation":false,"usgs":false,"family":"Sankey","given":"Temuulen Ts.","affiliations":[{"id":83836,"text":"Northern Arizona University, School of Informatics, Computing, and Cyber Systems","active":true,"usgs":false}],"preferred":false,"id":927064,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, William K. 0000-0002-5785-6489","orcid":"https://orcid.org/0000-0002-5785-6489","contributorId":239667,"corporation":false,"usgs":false,"family":"Smith","given":"William","email":"","middleInitial":"K.","affiliations":[{"id":47959,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ","active":true,"usgs":false}],"preferred":false,"id":927065,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burgess, Matthew Alexander 0000-0003-3487-4972 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K.","contributorId":51656,"corporation":false,"usgs":true,"family":"Gillan","given":"Jeffrey","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":927068,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Havrilla, Caroline 0000-0003-3913-0980","orcid":"https://orcid.org/0000-0003-3913-0980","contributorId":245368,"corporation":false,"usgs":false,"family":"Havrilla","given":"Caroline","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":927069,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Huang, Tao","contributorId":350818,"corporation":false,"usgs":false,"family":"Huang","given":"Tao","affiliations":[{"id":38130,"text":"Boise State University, Department of Biological Sciences","active":true,"usgs":false}],"preferred":false,"id":927070,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"LeBeau, Raymond 0009-0005-1520-5249","orcid":"https://orcid.org/0009-0005-1520-5249","contributorId":350819,"corporation":false,"usgs":true,"family":"LeBeau","given":"Raymond","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":927071,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Norton, Cindy L.","contributorId":350820,"corporation":false,"usgs":false,"family":"Norton","given":"Cindy L.","affiliations":[{"id":83841,"text":"School of Natural Resources and the Environment, Arizona Remote Sensing Center","active":true,"usgs":false}],"preferred":false,"id":927072,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Sankey, Joel B. 0000-0003-3150-4992","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":261248,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":927073,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Scholl, Victoria Mary 0000-0002-2085-1449","orcid":"https://orcid.org/0000-0002-2085-1449","contributorId":295713,"corporation":false,"usgs":true,"family":"Scholl","given":"Victoria","email":"","middleInitial":"Mary","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":927074,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Von Nonn, Joshua W. 0009-0003-7251-7308","orcid":"https://orcid.org/0009-0003-7251-7308","contributorId":332293,"corporation":false,"usgs":true,"family":"Von Nonn","given":"Joshua","email":"","middleInitial":"W.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":927075,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Yao, Erika","contributorId":280000,"corporation":false,"usgs":false,"family":"Yao","given":"Erika","email":"","affiliations":[{"id":57405,"text":"Contractor to Western Geographic Science Center","active":true,"usgs":false}],"preferred":false,"id":927076,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70263885,"text":"70263885 - 2025 - Using GPS tracking data to validate the conservation value of bird migration counts","interactions":[],"lastModifiedDate":"2025-02-27T15:29:12.802856","indexId":"70263885","displayToPublicDate":"2025-02-07T08:21:14","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Using GPS tracking data to validate the conservation value of bird migration counts","docAbstract":"Effective conservation of migratory birds requires gathering of information about their population trends, often acquired using migratory bird counts. These schemes ideally operate at migratory bottlenecks, through which a significant portion of the counted migratory populations is funneled. Yet it is rare to validate the conservation value of the data from these counts. Here we perform this validation using GPS tracking data collected from two migratory species during their movement over two count schemes: the globally endangered steppe eagle counted in Eilat, Israel, and the black kite, counted in Batumi, Georgia. We use tracking data to answer two questions: which populations are counted and what affects the probability that a given individual will be counted. Our results illustrate variability in the effectiveness of these two migratory bird counting schemes. Considering the goal of estimating population trends, we show that Eilat does not represent a good location for understanding population trends of steppe eagles, while Batumi appears to provide better information on demographic trends of black kites. We further present differences in annual and individual variability, evidence regarding the breeding area origins of the counted populations and effects of environmental factors on the raptors' routes and, consequently, on the probabilities of being counted. Beyond the direct implications of our results, this study provides an example of using telemetry data to parameterize inference from bird counts. Further coupling of migratory bird count data and GPS data can improve our understanding of migration ecology and the conservation of migratory species.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2024.110959","usgsCitation":"Efrat, R., Lehnardt, Y., Berkowic, D., Leshem, Y., Dor, R., Bragin, A.E., Bragin, E., Katzner, T., and Sapir, N., 2025, Using GPS tracking data to validate the conservation value of bird migration counts: Biological Conservation, v. 302, 110959, 10 p., https://doi.org/10.1016/j.biocon.2024.110959.","productDescription":"110959, 10 p.","ipdsId":"IP-168274","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":482558,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Israel, 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0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":928893,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sapir, Nir","contributorId":205118,"corporation":false,"usgs":false,"family":"Sapir","given":"Nir","email":"","affiliations":[],"preferred":false,"id":928894,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70267428,"text":"70267428 - 2025 - Triangulating habitat suitability for the locally extirpated California grizzly bear","interactions":[],"lastModifiedDate":"2025-05-23T15:28:45.416497","indexId":"70267428","displayToPublicDate":"2025-02-07T08:19:42","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Triangulating habitat suitability for the locally extirpated California grizzly bear","docAbstract":"Reintroducing locally extirpated wildlife species is often necessary to meet recovery goals. However, because current field data cannot be gathered about these species, efforts to identify suitable habitat are often complicated and controversial. Here we present a case study examining a novel approach for identifying suitable habitat for the locally extirpated brown bear, known as the “grizzly,” in California, USA. Once home to a large population of grizzlies, the last credible sighting of a grizzly in California was in 1924, but recent discussions have explored a reintroduction. To study potential grizzly bear habitat suitability in California, we use a multi-model approach in which we consider three indirect methods, or “analogies,” each of which incorporates both environmental and social variables. In the “historical analogy,” we used a unique record of human encounters and museum specimens to build a habitat model of grizzlies in California 150 years ago. In the “geographic analogy,” we used data about contemporary brown bears in Europe and North America to identify potential suitable habitat in California. In the “taxonomic analogy,” we examined data from other large carnivores currently extant in California to draw conclusions about grizzlies. Because these methods yield varying results, we adopt a process known in the social sciences as “triangulation” to compare them. We show that a triangulation approach can improve our understanding of potential suitable habitat, clarifying the strengths and weaknesses of various methods and producing robust yet conservative estimates. Our findings suggest that large areas of suitable habitat for grizzlies exist in California. However, we note that place-based social science research and long-term investment in co-existence would be necessary to maintain suitability. The “analogy and triangulation” approach demonstrates the value of multi-model approaches for habitat suitability, especially for reintroductions.","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2025.110989","usgsCitation":"Mcinturff, M.C., Alagona, P., Cooper, S., Gaynor, K., Anderson, S., Forbes, E.S., Heilmayr, R., Hiroyasu, E., Kendall, B., Mychajliw, A.M., and Hardesty-Moore, M., 2025, Triangulating habitat suitability for the locally extirpated California grizzly bear: Biological Conservation, v. 303, 110989, 15 p., https://doi.org/10.1016/j.biocon.2025.110989.","productDescription":"110989, 15 p.","ipdsId":"IP-168408","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":486514,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": 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In 2018, the U.S. Department of the Interior established Secretarial Order 3362, which provided Federal support to expand existing research efforts to study ungulate populations and conserve their migrations by enhancing habitat quality for ungulates across the Western United States. In response to the order, the U.S. Geological Survey (USGS) created the Corridor Mapping Team, which is a collaboration among 11 State agencies, regional and Federal partners, and an expanding number of Tribal wildlife agencies. Together, the Corridor Mapping Team maps ungulate migrations throughout the Western United States and publishes them in the USGS “Ungulate Migrations of the Western United States” report series. This report details migrations and seasonal ranges from 36 additional herds and includes 2 herd updates detailed in previous reports. The Corridor Mapping Team has mapped the migrations and seasonal ranges of 218 unique herds for the report series, including this report. The report series serves as a map-based inventory of the ungulate migrations across the Western United States for biologists, managers, policymakers, and conservation practitioners. Building on the previous report volumes in the series, volume 5 additionally describes some of the local and national initiatives that are incorporating the products, tools, and information from this growing USGS report series.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20245111","isbn":"978-1-4113-4594-2","usgsCitation":"Kauffman, M., Lowrey, B., McKee, J.L., Allen, T., Beaupre, C., Beck, J.L., Bergen, S., Binfet, J., Blair, S., Cain, J.W., III, Carl, P., Cornish, T., Cowardin, M., Curtis, R., DeVivo, M., Diamond, J., Dugger, K.M., Duvuvuei, O., Ellingwood, C.J., Finely, D., Fort, J., Freeman, E., Freeman, I., Gagnon, J., Gelzer, E., Gray, J., Greenspan, E., Hendricks, C., Hinojoza-Rood, V.D., Jeffress, M., Kyle, C.A., Lockyer, Z., McKee, C., Merkle, J.A., Merrell, J., Mumma, M.A., Powell, J., Reddell, C., Reinking, A.K., Ritson, R., Robatcek, S., Robb, B.S., Russo, B.M., Sawyer, H., Schroeder, C., Slezak, E., Sprague, S., Steiner, E., Steingisser, A., Stephenson, T., Tatman, N., Taylor, K.L., Whittaker, D., and Zaffarano, T., 2025, Ungulate migrations of the Western United States, volume 5: U.S. Geological Survey Scientific Investigations 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\"}}]}","contact":"Associate Director, Ecosystems Mission Area
U.S. Geological Survey
Mail Stop 300
12201 Sunrise Valley Drive
Reston, VA 20192
Lake water level fluctuations are an important factor driving variation in many ecosystem processes. The nearshore sediments that are periodically exposed and re-inundated can develop distinct physical and chemical characteristics, especially in relationship to the organic matter content of the sediments and the particle size distribution. These sediment characteristics in turn can alter the flux of nitrogen (N) and phosphorus (P) from sediments into the water column when sediments are inundated. Here, we used intact sediment core experiments across a range of sediment inundation frequencies to estimate the effect of inundation frequency on sediment nutrient flux in Kabetogama Lake, Minnesota, USA. We observed associations between elevation or inundation frequency and some sediment characteristics, but in a structural equation model, inundation frequency and the sediment properties we measured were poorly related to inorganic nutrient flux. On the other hand, inundation frequency did have a moderate association with organic N and P flux from sediments, which could be due to decay of terrestrial organic matter that accumulates on exposed sediments. We used our parameterized structural equation model to estimate how three different water level management regimes employed over the past 50 years could influence organic N and P flux from sediments. The models suggested more recent water level management regimes reduced organic N and P flux by 9%–13% and 5.9%–9.8%, respectively. Nearshore sediment flux could sustain and influence harmful algal blooms that occur in this lake, and these fluxes could be influenced by water level management.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70176","usgsCitation":"Larson, J.H., Bailey, S., Maki, R., Christensen, V., Stelzer, E., Smith, J., LeDuc, J.F., and McWhorter, S., 2025, Possible influence of water level management on nutrient flux in nearshore sediments of Kabetogama Lake, Minnesota, USA: Ecosphere, v. 16, no. 2, e70176, 22 p., https://doi.org/10.1002/ecs2.70176.","productDescription":"e70176, 22 p.","ipdsId":"IP-160471","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":487688,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70176","text":"Publisher Index Page"},{"id":482500,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"Kabetogama Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -93.1323728221501,\n 48.530999864005054\n ],\n [\n -93.1323728221501,\n 48.39653345056249\n ],\n [\n -92.70028521395359,\n 48.39653345056249\n ],\n [\n -92.70028521395359,\n 48.530999864005054\n ],\n [\n -93.1323728221501,\n 48.530999864005054\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-02-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":928641,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bailey, Sean 0000-0003-0361-7914 sbailey@usgs.gov","orcid":"https://orcid.org/0000-0003-0361-7914","contributorId":198515,"corporation":false,"usgs":true,"family":"Bailey","given":"Sean","email":"sbailey@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":928642,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maki, Ryan P.","contributorId":190131,"corporation":false,"usgs":false,"family":"Maki","given":"Ryan P.","affiliations":[],"preferred":false,"id":928643,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Christensen, Victoria 0000-0003-4166-7461","orcid":"https://orcid.org/0000-0003-4166-7461","contributorId":220548,"corporation":false,"usgs":true,"family":"Christensen","given":"Victoria","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":928644,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stelzer, Erin A. 0000-0001-7645-7603","orcid":"https://orcid.org/0000-0001-7645-7603","contributorId":220549,"corporation":false,"usgs":true,"family":"Stelzer","given":"Erin A.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":928645,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, James C.","contributorId":351486,"corporation":false,"usgs":false,"family":"Smith","given":"James C.","affiliations":[{"id":82351,"text":"U.S. National Park Service (NPS)","active":true,"usgs":false}],"preferred":false,"id":928646,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"LeDuc, Jamie F.","contributorId":178241,"corporation":false,"usgs":false,"family":"LeDuc","given":"Jamie","email":"","middleInitial":"F.","affiliations":[{"id":12462,"text":"U.S. Department of the Interior, National Park Service","active":true,"usgs":false}],"preferred":false,"id":928647,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"McWhorter, Seth","contributorId":351487,"corporation":false,"usgs":false,"family":"McWhorter","given":"Seth","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":928648,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70263503,"text":"70263503 - 2025 - Climate-related drivers of migratory bird health in the south-central USA","interactions":[],"lastModifiedDate":"2025-06-23T15:17:56.487436","indexId":"70263503","displayToPublicDate":"2025-02-06T10:18:59","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1023,"text":"Biological Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Climate-related drivers of migratory bird health in the south-central USA","docAbstract":"Migratory birds are species of concern that play important ecological roles while also supporting recreational opportunities for the hunting and birdwatching public. Direct and indirect effects of climate variability, extremes, and change on migratory bird health manifest at the individual, population, species, and community levels. This review focuses on the effects of climate on migratory birds that spend part of their life cycles in the south-central USA. Although gaps in knowledge remain, prior studies provide a solid foundation to understand how climate affects migratory birds to inform management priorities and actions.
","language":"English","publisher":"Wiley","doi":"10.1111/brv.70000","usgsCitation":"McPherson, R.A., Alger, K.E., and Hofmeister, E.K., 2025, Climate-related drivers of migratory bird health in the south-central USA: Biological Reviews, v. 100, no. 3, p. 1272-1293, https://doi.org/10.1111/brv.70000.","productDescription":"22 p.","startPage":"1272","endPage":"1293","ipdsId":"IP-155166","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":482036,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":487641,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/brv.70000","text":"Publisher Index Page"}],"country":"United States","state":"Louisiana, New Mexico, Oklahoma, 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performance in large earthquakes","docAbstract":"The ShakeAlert earthquake early warning (EEW) system partners along with U.S. Geological Survey (USGS) licensed operators deliver EEW alerts to the public and trigger automated systems when a significant earthquake is expected to impact California, Oregon, or Washington. ShakeAlert’s primary goal is to provide usable warning times before the arrival of damaging shaking. EEW is most likely to achieve this goal in large‐magnitude earthquakes. In recent years, ShakeAlert has gone through a series of upgrades to its underlying scientific algorithms aimed at improved performance during large earthquakes. Version 3 of this software recently went live in the production system and includes improvements to all algorithms. The main seismic algorithms that detect an earthquake and characterize its location, magnitude, and fault rupture orientation are faster than older versions. Other key changes include: using real‐time geodetic data to characterize the magnitude growth in large earthquakes; the introduction of an alert pause procedure to compromise between speed near the epicenter and improved accuracy at larger distances; and the inclusion of a nonergodic site‐response model in the ground‐motion predictions. ShakeAlert has achieved its primary goal of usable warning times before strong shaking at some locations in real‐time operations in recent M 6 earthquakes. Using offline tests, we demonstrate usable warning times are possible for many sites with peak shaking values of modified Mercalli intensity (MMI) 7–8 in M 7+ earthquakes and also for many MMI 8–9 sites in M 8+ earthquakes. ShakeAlert partners use a variety of MMI and magnitude thresholds in deciding when to alert their users within bounds set by the USGS. Our study shows that there is room to raise the magnitude thresholds up to about M 5.5 without adversely affecting performance in large earthquakes. The ground‐motion criteria are more complex owing to a significant drop‐off in warning times between the MMI 4 and 5 levels of predicted shaking. However, widely used ShakeAlert products, such as the MMI 3 and 4 contour products, can provide sufficiently long warning times before strong shaking in moderate‐to‐great earthquakes to enable a range of protective actions.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120240189","usgsCitation":"McGuire, J., Ulberg, C., Lux, A., Bose, M., Andrews, J., Smith, D., Crowell, B., Murray, J.R., Henson, I., Hartog, R., Felizardo, C., Huynh, M., Aranha, M., Parker, G.A., Baltay Sundstrom, A.S., Murray, M.H., Biasi, G., Guiwits, S., Saunders, J., Good, A., Santillan, V., Scrivener, C., Szeliga, W., Melbourne, T., Kress, V., de Groot, R., McBride, S., Given, D.D., Allen, R., Heaton, T.H., Husker, A.L., Thomas, V., Tobin, H., Jha, S., and Bunn, J., 2025, ShakeAlert® version 3: Expected performance in large earthquakes: Bulletin of the Seismological Society of America, v. 115, no. 2, p. 533-561, https://doi.org/10.1785/0120240189.","productDescription":"29 p.","startPage":"533","endPage":"561","ipdsId":"IP-167694","costCenters":[{"id":237,"text":"Earthquake Science 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