Efficient allocation of managers' limited resources is necessary to effectively control invasive species, but determining how to allocate effort between monitoring and management over space and time remains a challenge. In an adaptive management context, monitoring data are key for gaining knowledge and iteratively improving management, but monitoring costs money. Community science or other opportunistic monitoring data present an opportunity for managers to gain critical knowledge without a substantial reduction in management funds. We designed a management strategy evaluation to investigate optimal spatial allocation of resources to monitoring and management, while also exploring the potential for community science data to improve decision-making, using adaptive management of invasive flowering rush (Butomus umbellatus) in the Columbia River, USA, as a case study. We evaluated management and monitoring alternatives under two invasion conditions, a well-established invasion and an emerging invasion, for both risk-neutral and risk-averse decision makers. Simulations revealed that regardless of invasion condition or managers' risk tolerance, allocating effort outward from the estimated center of invasion (Epicenter prioritization) resulted in the lowest overall level of infestation at the end of management. This allocation outperformed alternatives in which management occurred in fixed areas (Linear prioritization) and alternatives that targeted patchily distributed areas with the highest estimated infestation level of the invasive species (High invasion prioritization). Additionally, management outcomes improved when more resources were allocated toward removal effort than monitoring effort, and the addition of community science data improved outcomes only under certain scenarios. Finally, actions that led to the best outcomes often did not produce the most accurate and precise estimates of parameters describing system function, emphasizing the importance of using value of information principles to guide monitoring. Our adaptive management approach is adaptable to many invasive species management contexts in which ongoing monitoring allows management strategies to be updated over time.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.71176","usgsCitation":"Thompson, B., Olden, J., and Converse, S.J., 2025, Balancing monitoring and management in the adaptive management of an invasive species: Ecology and Evolution, v. 15, no. 4, e71176, 18 p., https://doi.org/10.1002/ece3.71176.","productDescription":"e71176, 18 p.","ipdsId":"IP-174988","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":489759,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.71176","text":"Publisher Index Page"},{"id":486218,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Columbia River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.29861281933483,\n 45.86074969037472\n ],\n [\n -121.29861281933483,\n 45.533549912375776\n ],\n [\n -120.10221677965575,\n 45.533549912375776\n ],\n [\n -120.10221677965575,\n 45.86074969037472\n ],\n [\n -121.29861281933483,\n 45.86074969037472\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Thompson, Brielle K.","contributorId":355570,"corporation":false,"usgs":false,"family":"Thompson","given":"Brielle K.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":937664,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olden, Julien","contributorId":355571,"corporation":false,"usgs":false,"family":"Olden","given":"Julien","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":937665,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":937666,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70265056,"text":"70265056 - 2025 - Uncertainty reduction for subaerial landslide-tsunami hazards","interactions":[],"lastModifiedDate":"2025-04-01T15:08:00.852625","indexId":"70265056","displayToPublicDate":"2025-04-01T08:03:52","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5739,"text":"Journal of Geophysical Research: Earth Surface","onlineIssn":"2169-9011","active":true,"publicationSubtype":{"id":10}},"title":"Uncertainty reduction for subaerial landslide-tsunami hazards","docAbstract":"Subaerial rock slopes may generate a tsunami by rapidly moving into the water. Large uncertainty in landslide characteristics propagates into large uncertainty in tsunami hazard, making hazard assessment more difficult for land and emergency managers. Once a potentially tsunamigenic landslide is identified, it may not be clear which landslide characteristics contribute most significantly to uncertainty in the tsunami hazard. Our aim is to document the relative worth of different landslide characteristics (e.g., size, material properties) for reducing uncertainty in landslide-tsunami hazard assessments. Isolating the relative importance of specific landslide characteristics may inform prioritization of data collection and improve efficiency in understanding hazard. To accomplish this, we generated a set of 288 landslide-tsunami simulations in which we systematically varied the size and material properties of possible failure extents at the Barry Arm landslide complex in northwestern Prince William Sound, Alaska, USA. We find that for landslides smaller than the receiving waterbody, the landslide volume has the strongest effect on resulting wave characteristics and thus the highest leverage on reducing uncertainty in tsunami hazard. In contrast, for landslides substantially larger than the waterbody, the duration of rapid movement of the landslide has the highest leverage. Based on our results, we propose a classification scheme for subaerial landslides based on the relative size of the landslide and waterbody. Additionally, our results support the generation of a tsunami height transfer function between existing tide gages and a nearby coastal city. These results have direct implications for the practice of operational early warning.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JF007906","usgsCitation":"Barnhart, K.R., George, D.L., Collins, A.L., Schaefer, L.N., and Staley, D.M., 2025, Uncertainty reduction for subaerial landslide-tsunami hazards: Journal of Geophysical Research: Earth Surface, v. 130, no. 4, e2024JF007906, 33 p., https://doi.org/10.1029/2024JF007906.","productDescription":"e2024JF007906, 33 p.","ipdsId":"IP-167063","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":488660,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024jf007906","text":"Publisher Index Page"},{"id":484066,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Prince William Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -148.7784819894945,\n 61.26414641973446\n ],\n [\n -148.7784819894945,\n 59.85768506370988\n ],\n [\n -145.67415454216552,\n 59.85768506370988\n ],\n [\n -145.67415454216552,\n 61.26414641973446\n ],\n [\n -148.7784819894945,\n 61.26414641973446\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"130","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-03-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Barnhart, Katherine R. 0000-0001-5682-455X","orcid":"https://orcid.org/0000-0001-5682-455X","contributorId":257870,"corporation":false,"usgs":true,"family":"Barnhart","given":"Katherine","email":"","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":932432,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"George, David L. 0000-0002-5726-0255 dgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-5726-0255","contributorId":3120,"corporation":false,"usgs":true,"family":"George","given":"David","email":"dgeorge@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":932433,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collins, Andrew L. 0000-0003-4751-7333","orcid":"https://orcid.org/0000-0003-4751-7333","contributorId":332093,"corporation":false,"usgs":true,"family":"Collins","given":"Andrew","email":"","middleInitial":"L.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932434,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schaefer, Lauren N. 0000-0003-3216-7983","orcid":"https://orcid.org/0000-0003-3216-7983","contributorId":241997,"corporation":false,"usgs":true,"family":"Schaefer","given":"Lauren","email":"","middleInitial":"N.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":932435,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":932436,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70261844,"text":"70261844 - 2025 - Evaluating the applicability of the generalized power-law rating curve model: With applications to paired discharge-stage data from Iceland, Sweden, and the United States","interactions":[],"lastModifiedDate":"2024-12-30T15:09:17.858395","indexId":"70261844","displayToPublicDate":"2025-04-01T08:00:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the applicability of the generalized power-law rating curve model: With applications to paired discharge-stage data from Iceland, Sweden, and the United States","docAbstract":"Hydrologic research and operations make extensive use of streamflow time series. In most applications, these time series are estimated from rating curves, which relate flow to some easy-to-measure surrogate, typically stage. The conventional stage-discharge rating takes the form of a segmented power law, with one segment for each hydrologic control at the stream gauge. However, these ratings are notoriously difficult to estimate with numerical methods, so that most are still developed manually. A few automated algorithms have emerged, but their use is sporadic, and their relative merits have not been rigorously assessed. One recently developed approach, the generalized power-law, avoids the segmenting problem by representing the power-law exponent as a Gaussian process. On the one hand, this representation is more flexible and easier to fit, but its flexibility might allow unrealistic solutions, so it needs to be tested under a range of conditions to assess its operational viability. This study evaluates the generalized power-law rating curve model by applying it to observations from 180 streams in Iceland, Sweden, and the United States. Overall, the model proved flexible and computationally robust, generating convincing rating curves across a range of geographic settings and was comparable to curves generated by a segmented rating model. 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Center","active":true,"usgs":true}],"preferred":true,"id":922011,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rögnvaldsson, Sölvi","contributorId":347574,"corporation":false,"usgs":false,"family":"Rögnvaldsson","given":"Sölvi","affiliations":[{"id":36649,"text":"University of Iceland","active":true,"usgs":false}],"preferred":false,"id":922012,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jansson, Axel Örn","contributorId":347575,"corporation":false,"usgs":false,"family":"Jansson","given":"Axel Örn","affiliations":[{"id":36649,"text":"University of Iceland","active":true,"usgs":false}],"preferred":false,"id":922013,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gardarsson, Sigurdur M.","contributorId":347576,"corporation":false,"usgs":false,"family":"Gardarsson","given":"Sigurdur M.","affiliations":[{"id":36649,"text":"University of Iceland","active":true,"usgs":false}],"preferred":false,"id":922014,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70275288,"text":"70275288 - 2025 - Climate and connectivity mediate overwintering habitat suitability for centrarchids in a large floodplain river network","interactions":[],"lastModifiedDate":"2026-04-28T14:54:46.378257","indexId":"70275288","displayToPublicDate":"2025-04-01T07:43:53","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Climate and connectivity mediate overwintering habitat suitability for centrarchids in a large floodplain river network","docAbstract":"Availability of suitable overwintering habitat is crucial for the survival of centrarchids in large floodplain rivers. However, there remains uncertainty in the spatiotemporal drivers of suitable conditions. We paired hydrogeomorphic characteristics with environmental data from 1994 to 2018 in individual lentic areas to (1) assess overwintering habitat availability throughout the Upper Mississippi River System using existing habitat suitability indices (HSIs) and (2) explore potential drivers of overall habitat suitability (HSIO) and its components (dissolved oxygen, temperature, and flow). We found that flow velocities that exceeded suitable thresholds were independently responsible for 53% of nonsuitable habitats, and connectivity with lotic channels and river discharge increased velocity within lentic habitats. Additionally, colder winter conditions reduced water temperature, reducing availability of highly suitable habitat. Our results indicate that although warmer winters could increase the availability of highly suitable habitat for centrarchids, changes in flow regimes could lead to more connected areas becoming unsuitable. Our results provide critical information on factors that can be prioritized to manage centrarchid habitat, which is especially important in the context of uncertain future climate.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2024-0164","usgsCitation":"Mooney, R.J., Jankowski, K.J., Houser, J.N., Magee, M.R., and Dugan, H.A., 2025, Climate and connectivity mediate overwintering habitat suitability for centrarchids in a large floodplain river network: Canadian Journal of Fisheries and Aquatic Sciences, v. 82, 17 p., https://doi.org/10.1139/cjfas-2024-0164.","productDescription":"17 p.","ipdsId":"IP-167140","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":503589,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"upper Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -93.35941603504807,\n 45.13619043833728\n ],\n [\n -90.66330391867993,\n 42.01117642541067\n ],\n [\n -91.52835702770801,\n 40.85422634655964\n ],\n [\n -91.58786884376174,\n 39.743507476258465\n ],\n [\n -89.62918977387159,\n 36.57093201587384\n ],\n [\n -88.8607799787824,\n 36.455760815710875\n ],\n [\n -89.51271825275371,\n 37.88358407485393\n ],\n [\n -90.88220276970787,\n 40.057770713322526\n ],\n [\n -89.94962618855358,\n 42.14738399995639\n ],\n [\n -90.86154605256917,\n 43.61862166005109\n ],\n [\n -92.40239982913435,\n 45.135529207959365\n ],\n [\n -93.35941603504807,\n 45.13619043833728\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"82","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mooney, Robert J.","contributorId":244629,"corporation":false,"usgs":false,"family":"Mooney","given":"Robert","middleInitial":"J.","affiliations":[{"id":34113,"text":"University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":960349,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jankowski, Kathi Jo 0000-0002-3292-4182","orcid":"https://orcid.org/0000-0002-3292-4182","contributorId":207429,"corporation":false,"usgs":true,"family":"Jankowski","given":"Kathi","email":"","middleInitial":"Jo","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":960350,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Houser, Jeffrey N. 0000-0003-3295-3132 jhouser@usgs.gov","orcid":"https://orcid.org/0000-0003-3295-3132","contributorId":2769,"corporation":false,"usgs":true,"family":"Houser","given":"Jeffrey","email":"jhouser@usgs.gov","middleInitial":"N.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":960351,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Magee, Madeline R.","contributorId":172077,"corporation":false,"usgs":false,"family":"Magee","given":"Madeline","middleInitial":"R.","affiliations":[{"id":5083,"text":"University of British Columbia, Department of Zoology, Biodiversity Research Centre and Beaty Biodiversity Museum","active":true,"usgs":false}],"preferred":false,"id":960352,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dugan, Hilary A.","contributorId":150191,"corporation":false,"usgs":false,"family":"Dugan","given":"Hilary","middleInitial":"A.","affiliations":[{"id":17938,"text":"Center for Limnology University of Wisconsin, Madison, WI 53706, US","active":true,"usgs":false}],"preferred":false,"id":960353,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70267706,"text":"70267706 - 2025 - Points of consensus on catch-and-release: Considerations for science, ethics, and fisheries management","interactions":[],"lastModifiedDate":"2025-05-29T14:43:04.837141","indexId":"70267706","displayToPublicDate":"2025-04-01T07:39:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Points of consensus on catch-and-release: Considerations for science, ethics, and fisheries management","docAbstract":"Catch-and-release (C&R), whether via regulations or voluntary actions, is typically employed with the intent of reducing fishing mortality while maintaining recreational angling opportunities (Isermann & Paukert, 2010), but there has been significant discourse about the relative importance of individual-level (see Cooke et al., 2025) vs. population-level (see Corsi et al., 2025) effects of C&R. We hope to offer the angling, scientific, and management communities some points of consensus from which this multifaceted dialogue on C&R can productively build. We preface this by noting that our collective views were informed by this process and the opportunity to share and learn from each other. What is apparent from this exercise is the value of embracing a holistic, cooperative approach.
From a regulatory perspective, C&R is typically implemented in high-effort fisheries that are popular due to the quality of the fishing. Catch-and-release regulations are also applied in fisheries where populations have declined and fishing mortality is thought or, most appropriately, known to be a limiting factor for the population. When practiced voluntarily, anglers engaging in C&R can be characterized by high avidity and specialization, and angling is often a central component of their identity (e.g., Fisher, 1997). Due to their passion, avid anglers tend to spotlight the ethical, scientific, and regulatory considerations of C&R. As such, there is a need in fisheries management and science to understand in what situations these considerations transcend biological scales and how to navigate the gamut of voluntary actions and regulatory mandates. In this essay, we offer a distillation of the emergent consensus concepts that we hope managers and researchers will consider at both individual and population scales for legal, ethical, and scientific deliberations.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/fshmag/vuae024","usgsCitation":"Corsi, M.P., Cooke, S., Danylchuk, A.J., Guckian, M., Kozfkay, J., and Quist, M.C., 2025, Points of consensus on catch-and-release: Considerations for science, ethics, and fisheries management: Fisheries, v. 50, no. 4, p. 182-184, https://doi.org/10.1093/fshmag/vuae024.","productDescription":"3 p.","startPage":"182","endPage":"184","ipdsId":"IP-170594","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":496385,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/fshmag/vuae024","text":"Publisher Index Page"},{"id":486727,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-03-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Corsi, Matthew P.","contributorId":212797,"corporation":false,"usgs":false,"family":"Corsi","given":"Matthew","email":"","middleInitial":"P.","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":938589,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cooke, Steven J.","contributorId":340990,"corporation":false,"usgs":false,"family":"Cooke","given":"Steven J.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":938590,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Danylchuk, Andy J.","contributorId":138981,"corporation":false,"usgs":false,"family":"Danylchuk","given":"Andy","email":"","middleInitial":"J.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":938591,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guckian, Meaghan","contributorId":257672,"corporation":false,"usgs":false,"family":"Guckian","given":"Meaghan","email":"","affiliations":[{"id":37201,"text":"UMass Amherst","active":true,"usgs":false}],"preferred":false,"id":938592,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kozfkay, Joseph","contributorId":275014,"corporation":false,"usgs":false,"family":"Kozfkay","given":"Joseph","email":"","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":938593,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Quist, Michael C. 0000-0001-8268-1839","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":207142,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":938594,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70275623,"text":"70275623 - 2025 - The 2014–2015 Holuhraun lava flow-field in Iceland as a planetary analog for young volcanic terrains in Elysium Planitia, Mars","interactions":[],"lastModifiedDate":"2026-05-05T16:56:17.43807","indexId":"70275623","displayToPublicDate":"2025-04-01T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17061,"text":"Planetary Science Journal","active":true,"publicationSubtype":{"id":10}},"title":"The 2014–2015 Holuhraun lava flow-field in Iceland as a planetary analog for young volcanic terrains in Elysium Planitia, Mars","docAbstract":"Elysium Planitia is the youngest volcanic terrain on Mars, and the only region that exhibits evidence of ongoing magmatic activity today. This makes Elysium Planitia crucial for understanding the tectonic, magmatic, volcanic, and thermal state of the planet. The 2014–2015 Holuhraun eruption in the Icelandic Highland provides a unique opportunity to study a large-volume, fissure-fed eruption—with associated lava–water interactions—that serves as a terrestrial analog for volcanic terrains in Elysium Planitia. Here, we detail the key similarities between the Holuhraun and Elysium Planitia sites, including their geological settings, prominent lava morphologies, and implications for inferring eruption dynamics. Even in the absence of global plate tectonics on Mars, both locations exhibit young fissure systems, indicating an extensional tectonic setting. Detailed investigations of lava morphologies offer valuable insights into the dynamics and evolution of fissure-fed eruptions. Of particular importance are “transitional” lavas, which, at the Holuhraun site, are associated with different effusion rates and eruption stages. The presence of inflation features with disrupted surfaces in Elysium Planitia supports the interpretation that these are rubbly lava flows formed in association with high local strain rates, implying an initial high effusion rate. However, both locations exhibit polygonal terrain, which is indicative of low strain rate conditions, implying a change to cooling under broadly stagnant conditions. Due to its variety of recent geologic processes, including volcanic and potentially aqueous flows, the presence of pristine surfaces, as well as associated tectonic and magmatic activity, Elysium Planitia is a compelling target for future exploration.
","language":"English","publisher":"IOP Science","doi":"10.3847/PSJ/adb5f1","usgsCitation":"Voigt, J.R., Hamilton, C.W., Keszthelyi, L.P., Varnam, M., Hibbard, S., and Stack, K.M., 2025, The 2014–2015 Holuhraun lava flow-field in Iceland as a planetary analog for young volcanic terrains in Elysium Planitia, Mars: Planetary Science Journal, v. 6, no. 4, 81, 18 p., https://doi.org/10.3847/PSJ/adb5f1.","productDescription":"81, 18 p.","ipdsId":"IP-167592","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":504202,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3847/psj/adb5f1","text":"Publisher Index Page"},{"id":504003,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Iceland","otherGeospatial":"Elysium Planitia, Mars","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -20.6199345972027,\n 64.34152756479364\n ],\n [\n -20.6199345972027,\n 63.50489273087001\n ],\n [\n -19.280783507665006,\n 63.50489273087001\n ],\n [\n -19.280783507665006,\n 64.34152756479364\n ],\n [\n -20.6199345972027,\n 64.34152756479364\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"6","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Voigt, Joana R.C.","contributorId":371152,"corporation":false,"usgs":false,"family":"Voigt","given":"Joana","middleInitial":"R.C.","affiliations":[{"id":88101,"text":"California Institute of Technology, Jet Propulsion Laborator","active":true,"usgs":false}],"preferred":false,"id":961123,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hamilton, Christopher W.","contributorId":196266,"corporation":false,"usgs":false,"family":"Hamilton","given":"Christopher","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":961124,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keszthelyi, Laszlo P. 0000-0003-1879-4331 laz@usgs.gov","orcid":"https://orcid.org/0000-0003-1879-4331","contributorId":227,"corporation":false,"usgs":true,"family":"Keszthelyi","given":"Laszlo","email":"laz@usgs.gov","middleInitial":"P.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":961125,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Varnam, M.","contributorId":371153,"corporation":false,"usgs":false,"family":"Varnam","given":"M.","affiliations":[{"id":88104,"text":"University of Arizona, Lunar and Planetary Laboratory","active":true,"usgs":false}],"preferred":false,"id":961126,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hibbard, S.M.","contributorId":371154,"corporation":false,"usgs":false,"family":"Hibbard","given":"S.M.","affiliations":[{"id":85656,"text":"Division of Earth and Ecosystem Sciences, Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":961127,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stack, K. M.","contributorId":371155,"corporation":false,"usgs":false,"family":"Stack","given":"K.","middleInitial":"M.","affiliations":[{"id":88101,"text":"California Institute of Technology, Jet Propulsion Laborator","active":true,"usgs":false}],"preferred":false,"id":961128,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70268062,"text":"70268062 - 2025 - Status and trends of pelagic and benthic prey fish populations in Lake Michigan, 2024","interactions":[],"lastModifiedDate":"2026-03-16T15:52:30.720962","indexId":"70268062","displayToPublicDate":"2025-03-31T10:45:28","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Status and trends of pelagic and benthic prey fish populations in Lake Michigan, 2024","docAbstract":"Fall bottom trawl (fall BT) and lakewide acoustic (AC) surveys are conducted annually to generate indices of pelagic and benthic prey fish densities in Lake Michigan. The fall BT survey has been conducted each fall since 1973 using 12-m trawls at depths ranging from 9 to 110 m at fixed locations distributed across seven transects; this survey estimates densities of seven prey fish species [i.e., Alewife (Alosa pseudoharengus), Bloater (Coregonus hoyi), Rainbow Smelt (Osmerus mordax), Deepwater Sculpin (Myoxocephalus thompsonii), Slimy Sculpin (Cottus cognatus), Round Goby (Neogobius melanostomus), Ninespine Stickleback (Pungitius pungitius)] as well as age-0 Yellow Perch (Perca flavescens) and large (> 350 mm) Burbot (Lota lota). In recent years, wild juvenile (<400 mm) Lake Trout (Salvelinus namaycush) have also become more common in the fall bottom trawl. The AC survey has been conducted each late summer/early fall since 2004 (except 2020). The 2024 AC survey consisted of 24 transects [468 km total (291 miles)] covering bottom depths ranging from 16 to 173 m and 38 midwater trawl tows at 4 to 72 m; this survey estimates densities of three prey fish species (i.e., Alewife, Bloater, and Rainbow Smelt). The data generated from these surveys are used to estimate various population parameters that are, in turn, used by state and tribal agencies in managing Lake Michigan fish stocks. In spring of 2024, an additional spring bottom trawl survey (spring BT) was implemented across six of the transects sampled in the fall and sites ranged in depth from 9 to 237 m. The goal of the spring BT, conducted annually since 2021 with differing levels of effort, was to explore seasonal differences in biomass density and distributions of key prey species, most notably Alewife.
Total prey fish biomass density from the spring BT was 5.7 kg/ha. For the AC survey, total biomass density of prey fish equaled 10.8 kg/ha, more than double the long-term average (20042023) of 5.1 kg/ha but 4.0 kg/ha lower than the 2023 estimate. For the fall BT, total biomass density of prey fish equaled 2.1 kg/ha, the lowest value since 2020 and 69% lower than the average from 2004-2023 (6.8 kg/ha). The 2024 fall BT biomass density was only 6.3% of the average over the entirety of the time series (1973-2023; 33.1 kg/ha). Over the period both surveys have been conducted (2004-2024), total biomass density has trended downward in the fall BT (despite a high 2022 estimate) and remained relatively stable in the AC survey.
Deepwater Sculpin and Bloater were the most common species (by biomass) among prey fishes in the spring BT while the AC survey and fall BT reported co-dominance of Bloater and Alewife. Mean biomass of yearling and older (YAO) Alewife was 1.30 kg/ha in the spring BT, 4.7 kg/ha in the AC survey, and 0.68 kg/ha in the fall BT. Since 2014, annual survey results suggest that the catchability of YAO Alewives for the fall BT is substantially lower than the AC survey. Like previous spring surveys, Alewives were aggregated in deeper habitats, with 93% of biomass collected between 110 and 201 m. Results of the 2024 spring BT align with past spring surveys and do not suggest that spring bottom trawling provides a better index of age-2 and older Alewives than fall bottom trawling, even with adjustments for differences in habitat use. However, the spring BT does appear to index age-1 Alewives more effectively than the fall BT.
The 2024 AC survey YAO Alewife biomass density estimate was 77% higher than the average from 2004-2023. The Alewife population of Lake Michigan appears to be composed mostly of young fish and the proportion of age-4 and older Alewives was <1.8% in each of the three surveys. Age-0 Alewife numeric density from the AC survey was 510 fish/ha in 2024, slightly higher than the long-term mean (486 fish/ha). Biomass density of large (≥120 mm) Bloater was 5.2 kg/ha in the AC survey and 0.76 kg/ha in the fall BT, while total Bloater biomass in the spring BT was 1.8 kg/ha - all three estimates were much lower than what was estimated by the fall BT between 1981 and 1998. The density of small (<120 mm) Bloater was 456 fish/ha in the AC survey, the second highest value in the time series and potentially reflective of an above average 2024 year-class. Meanwhile, small Bloater density estimated in the fall BT was only 16 fish/ha. Biomass density of large Rainbow Smelt (≥90 mm) was 0.21 kg/ha in the AC survey and 0.03 kg/ha in the fall BT survey, continuing the trend of low large Rainbow Smelt biomass observed since 2001. Numeric density of small (<90 mm) Rainbow Smelt was 31 fish/ha in the AC survey and 143 fish/ha in the fall BT.
All four prey fish species indexed only by the fall BT had below-average biomass densities regardless of trawling season. Deepwater Sculpin biomass density was 0.26 kg/ha, which makes 14 of the past 15 years with biomass <1 kg/ha. Spring BT Deepwater Sculpin biomass density (2.0 kg/ha) was higher than any fall BT estimate since 2006, likely reflective of including bottom trawls at greater depths in the spring than the fall. Slimy Sculpin was estimated to be < 0.04 kg/ha in the spring and fall BT, an order of magnitude lower than the long-term average from the fall BT. Round Goby biomass density estimates were low and similar across seasons (0.43 kg/ha in the spring and 0.10 kg/ha in the fall). Ninespine Stickleback density was 3.9 fish/ha in the fall BT and no fish were collected in the spring BT.
","language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Tingley, R.W., Warner, D., Madenjian, C.P., Dieter, P., Phillips, K., Turschak, B., Hanson, D., Esselman, P., and Farha, S., 2025, Status and trends of pelagic and benthic prey fish populations in Lake Michigan, 2024, 24 p.","productDescription":"24 p.","ipdsId":"IP-179256","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":490493,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.glfc.org/publication-media-search.php"},{"id":501181,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.6436767578125,\n 45.69083283645816\n ],\n [\n 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Passive flux meters (PFMs) directly measure groundwater chemistry mass flux and Darcy flux, providing insight into contaminant source-zone architecture and transport properties. This study uses PFMs to characterize PFAS flux in groundwater at a semiarid site with a thick (greater than 90-m) unsaturated zone where groundwater has been contaminated with per- and polyfluoroalkyl substances (PFAS) related to the use of aqueous film-forming foam (AFFF) for fire training and fire suppression. PFAS mass discharge (PFAS mass flux integrated over a control plane) in groundwater downgradient from several PFAS release areas is calculated using PFM results. In groundwater downgradient from fire-training areas, total PFAS mass discharge (summed across 14 compounds) was estimated to be between 6.0 and 31 g per day in 2020 and between 5.9 and 23 g per day in 2021. Site-specific documentation, generic information on AFFF properties, and literature values of PFAS concentration in AFFF are used to estimate site-specific PFAS-application rates at fire-training areas. These PFAS-application rates are compared to groundwater PFAS-discharge rates. Results suggest that transformation processes (exact pathways unknown) have led to increased discharge of measured PFAS in groundwater relative to initial AFFF formulations. The mass balance approach has broad applicability as a high-level approach that can provide insight into PFAS transport at AFFF sites.
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Since 2018, HVO has stationed a laser rangefinder on Kīlauea’s caldera rim. The instrument automatically measures lava lake elevation each second, with centimeter accuracy. A stream of elevation data flows to HVO’s database and public website, contributing a valuable channel to HVO’s volcano monitoring network. The data display is intuitive for users, providing essential information with a new level of clarity. HVO has used this method to track Kīlauea’s changing lava lake elevations over a series of eruptions, and the time series data show several volcanic processes: crater refilling, gas pistoning, lava lake surface behavior, and endogenous crater floor uplift. This technique is versatile, nimble, and easy to use. Continuous laser rangefinders may also prove useful for tracking lava lakes elsewhere, and for monitoring other hazards such as growing lava domes and debris flows.
","language":"English","publisher":"Springer Nature","doi":"10.1186/s13617-025-00152-5","usgsCitation":"Younger, E.F., Tollett, W., and Patrick, M.R., 2025, Monitoring lava lake fluctuations and crater refilling with continuous laser rangefinders: Journal of Applied Volcanology, v. 14, 4, 17 p., https://doi.org/10.1186/s13617-025-00152-5.","productDescription":"4, 17 p.","ipdsId":"IP-170275","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":488670,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s13617-025-00152-5","text":"Publisher Index Page"},{"id":484068,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.31226314039785,\n 19.439663913303676\n ],\n [\n -155.31226314039785,\n 19.385937325516892\n ],\n [\n -155.2364870703903,\n 19.385937325516892\n ],\n [\n -155.2364870703903,\n 19.439663913303676\n ],\n [\n -155.31226314039785,\n 19.439663913303676\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","noUsgsAuthors":false,"publicationDate":"2025-03-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Younger, Edward F. 0000-0002-1493-3069","orcid":"https://orcid.org/0000-0002-1493-3069","contributorId":215132,"corporation":false,"usgs":true,"family":"Younger","given":"Edward","email":"","middleInitial":"F.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":932512,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tollett, William 0000-0001-9646-0244","orcid":"https://orcid.org/0000-0001-9646-0244","contributorId":215618,"corporation":false,"usgs":true,"family":"Tollett","given":"William","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":932513,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":932514,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70265450,"text":"70265450 - 2025 - Patterns of water-extractable soil organic matter in the US Great Plains: Insights from the Haas Soil Archive","interactions":[],"lastModifiedDate":"2025-04-07T15:11:28.29755","indexId":"70265450","displayToPublicDate":"2025-03-31T10:01:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18722,"text":"Agrosystems, Geosciences & Environment","active":true,"publicationSubtype":{"id":10}},"title":"Patterns of water-extractable soil organic matter in the US Great Plains: Insights from the Haas Soil Archive","docAbstract":"Novel approaches that are fast and sensitive are needed to evaluate soil change and integrate soil ecosystem properties. Carbon (C) and nitrogen (N) extracted from soil with water are associated with plant nutrients and microbial activity but information about change over time in the US Great Plains is sparse. We used cool (20°C) and hot (80°C) water extracts from historic (1947) and contemporary (2018) soil samples collected at Moccasin, MT; Akron, CO; and Big Spring, TX; to examine changes to labile C and N and optical properties after 71 years of dryland cropping. Concentrations of C and N extracted with cool water decreased between 1947 and 2018 in surface (0–15.2 cm) samples from Moccasin, by 52% and 35%, and Big Spring, by 37% and 32%, but remained unchanged at Akron. Conversely, net (hot−cool) extractable C did not change at Moccasin or Big Spring but increased at Akron by 26%. Net extractable N decreased at Moccasin by 22% but did not change elsewhere. Sequential principal component analysis and stepwise discriminant analysis identified three important optical properties. Values of SUVA254 (where SUVA254 is the specific ultraviolet absorbance at 254 nm) in extracts did not change at Moccasin between 1947 and 2018 but increased at Akron, indicating increased aromaticity. Conversely, SUVA254 decreased at Big Spring. Values for Sag350–400 (where Sag350–400 is the slope from a nonlinear fit of an exponential function to the absorption spectrum over the wavelength range from 350 to 400 nm), inversely related to extract molecular weight and aromaticity, decreased at Moccasin but not elsewhere. The proportion of recalcitrant to labile compounds, C:T (where C:T is the ratio of fluorescence intensity from Peak C [ex340/em440] to Peak T [ex275/em340]), increased in extracts from all sites but especially at Akron. Together, these methods provided insights into soil change while conserving samples.
","language":"English","publisher":"American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America","doi":"10.1002/agg2.70060","usgsCitation":"Halvorson, J., Hansen, A., Stewart, C., and Liebig, M., 2025, Patterns of water-extractable soil organic matter in the US Great Plains: Insights from the Haas Soil Archive: Agrosystems, Geosciences & Environment, v. 8, no. 2, e70060, 19 p., https://doi.org/10.1002/agg2.70060.","productDescription":"e70060, 19 p.","ipdsId":"IP-169442","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":488588,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/agg2.70060","text":"Publisher Index Page"},{"id":484248,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Kansas, Montana, Nebraska, New Mexico, North Dakota, Oklahoma, South Dakota, Texas, Wyoming","otherGeospatial":"Great Plains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -99.71690230492678,\n 49.00767217377904\n ],\n [\n -114.52047194344055,\n 48.96620820388196\n ],\n [\n -108.02761104444338,\n 43.431362102036616\n ],\n [\n -105.46908622364728,\n 41.157349572572656\n ],\n [\n -104.7642331125596,\n 38.60534381629034\n ],\n [\n -105.05752733002399,\n 31.53015238806853\n ],\n [\n -101.92451560611104,\n 29.673791965164952\n ],\n [\n -99.21248896868579,\n 29.64451686827489\n ],\n [\n -95.39792325146101,\n 36.09005746704193\n ],\n [\n -95.97673584844566,\n 39.785455700995584\n ],\n [\n -97.38163970337908,\n 43.351886514816215\n ],\n [\n -99.71690230492678,\n 49.00767217377904\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"8","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-03-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Halvorson, Jonathan J. 0000-0001-5201-3928","orcid":"https://orcid.org/0000-0001-5201-3928","contributorId":349396,"corporation":false,"usgs":false,"family":"Halvorson","given":"Jonathan J.","affiliations":[{"id":63834,"text":"United States Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":932743,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Angela 0000-0003-0938-7611 anhansen@usgs.gov","orcid":"https://orcid.org/0000-0003-0938-7611","contributorId":171551,"corporation":false,"usgs":true,"family":"Hansen","given":"Angela","email":"anhansen@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932744,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stewart, Catherine E. 0000-0003-1216-0450","orcid":"https://orcid.org/0000-0003-1216-0450","contributorId":349399,"corporation":false,"usgs":false,"family":"Stewart","given":"Catherine E.","affiliations":[{"id":63834,"text":"United States Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":932745,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liebig, Mark A. 0000-0002-2716-3665","orcid":"https://orcid.org/0000-0002-2716-3665","contributorId":349397,"corporation":false,"usgs":false,"family":"Liebig","given":"Mark A.","affiliations":[{"id":63834,"text":"United States Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":932746,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70265066,"text":"70265066 - 2025 - Characterize the movement patterns of host fish, Hiodon spp., for Spectaclecase (Cumberlandia monodonta) in the St. Croix National Scenic Riverway (SACN)","interactions":[],"lastModifiedDate":"2026-03-17T14:58:50.457262","indexId":"70265066","displayToPublicDate":"2025-03-31T09:52:52","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"displayTitle":"Characterize the movement patterns of host fish, Hiodon spp., for Spectaclecase (Cumberlandia monodonta) in the St. Croix National Scenic Riverway (SACN)","title":"Characterize the movement patterns of host fish, Hiodon spp., for Spectaclecase (Cumberlandia monodonta) in the St. Croix National Scenic Riverway (SACN)","docAbstract":"No abstract available.
","language":"English","publisher":"National Park Service","usgsCitation":"Bartsch, M., Sietman, B.E., Waller, D.L., Stiras, J., Meulemans, M.J., and Secrist, Z., 2025, Characterize the movement patterns of host fish, Hiodon spp., for Spectaclecase (Cumberlandia monodonta) in the St. Croix National Scenic Riverway (SACN), 2 p.","productDescription":"2 p.","ipdsId":"IP-176033","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":501215,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":501214,"rank":1,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://irma.nps.gov/RPRS/IAR/Profile/679291"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bartsch, Michelle 0000-0002-9571-5564","orcid":"https://orcid.org/0000-0002-9571-5564","contributorId":352918,"corporation":false,"usgs":false,"family":"Bartsch","given":"Michelle","affiliations":[{"id":84300,"text":"Retired USGS UMESC employee","active":true,"usgs":false}],"preferred":false,"id":932452,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sietman, Bernard E.","contributorId":196565,"corporation":false,"usgs":false,"family":"Sietman","given":"Bernard","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":932454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waller, Diane L. 0000-0002-6104-810X dwaller@usgs.gov","orcid":"https://orcid.org/0000-0002-6104-810X","contributorId":5272,"corporation":false,"usgs":true,"family":"Waller","given":"Diane","email":"dwaller@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":932453,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stiras, Joel","contributorId":335317,"corporation":false,"usgs":false,"family":"Stiras","given":"Joel","email":"","affiliations":[{"id":80366,"text":"MNDNR, St. Paul, MN","active":true,"usgs":false}],"preferred":false,"id":932456,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meulemans, Matthew J. 0000-0003-4584-8737","orcid":"https://orcid.org/0000-0003-4584-8737","contributorId":261521,"corporation":false,"usgs":true,"family":"Meulemans","given":"Matthew J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":932451,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Secrist, Zeb","contributorId":335316,"corporation":false,"usgs":false,"family":"Secrist","given":"Zeb","affiliations":[{"id":80365,"text":"MNDNR, CAMP, Lake City, MN","active":true,"usgs":false}],"preferred":false,"id":932455,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70270410,"text":"70270410 - 2025 - Aggregated space use by soft-released translocated Gopher Tortoises (Gopherus polyphemus)","interactions":[],"lastModifiedDate":"2025-08-19T14:47:20.981012","indexId":"70270410","displayToPublicDate":"2025-03-31T09:31:35","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1892,"text":"Herpetologica","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Aggregated space use by soft-released translocated Gopher Tortoises (Gopherus polyphemus)","title":"Aggregated space use by soft-released translocated Gopher Tortoises (Gopherus polyphemus)","docAbstract":"Translocated herpetofauna can exhibit irregular space use and movement patterns when compared with resident conspecifics. In Florida, USA, Gopher Tortoises (Gopherus polyphemus) are translocated throughout the state to mitigate habitat loss due to development. The postrelease space use of translocated Gopher Tortoises within soft-release pens can affect population dynamics and population monitoring efficacy, and understanding spatial patterns can aid wildlife managers with population management. We used a combination of time-lapse cameras, animal tracking devices, and burrow distribution surveys to investigate translocated tortoise space use at Eglin Air Force Base, Florida, where tortoises have been translocated since 2015. We investigated 10 soft-release pens that varied in size (4–41 ha) and shape (due to landscape configuration and existing infrastructure). Time-lapse cameras and burrow distribution surveys showed that tortoises used habitat within 20 m of soft-release pens (silt fences) significantly more than the interior of pens. In most pens, the selection of pen-edge habitat resulted in a clustering effect that lessened upon subsequent surveys, after fences were removed. Additionally, our tracking data showed mixed evidence for clustering, where three of the seven tortoises used edge area significantly more than the interior of pens. Such clustering can affect the efficacy of population survey methods while potentially having negative impacts on the health of translocatees by increasing local density.
","language":"English","publisher":"The Herpetologists' League","doi":"10.1655/herpetologica-d-24-00038.1","usgsCitation":"Jones, M.D., Loope, K.J., Porter, V.H., Walkup, D.K., Ryberg, W.A., Preston, J.R., Johnson, J.T., Hagedorn, B.W., Bilbow, R., Moore, B.M., Bowers, B.C., Lopez, R.R., and Hunter, E.A., 2025, Aggregated space use by soft-released translocated Gopher Tortoises (Gopherus polyphemus): Herpetologica, v. 81, no. 2, p. 141-151, https://doi.org/10.1655/herpetologica-d-24-00038.1.","productDescription":"11 p.","startPage":"141","endPage":"151","ipdsId":"IP-161767","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":494309,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Elgin Air Force Base","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n 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Natural Resources Office","active":true,"usgs":false}],"preferred":false,"id":946349,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bilbow, Robert","contributorId":359850,"corporation":false,"usgs":false,"family":"Bilbow","given":"Robert","affiliations":[{"id":78517,"text":"Texas A&M Natural Resources Institute","active":true,"usgs":false}],"preferred":false,"id":946350,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Moore, Billy M.","contributorId":359851,"corporation":false,"usgs":false,"family":"Moore","given":"Billy","middleInitial":"M.","affiliations":[{"id":78517,"text":"Texas A&M Natural Resources Institute","active":true,"usgs":false}],"preferred":false,"id":946351,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bowers, Brandon C.","contributorId":359852,"corporation":false,"usgs":false,"family":"Bowers","given":"Brandon","middleInitial":"C.","affiliations":[{"id":78517,"text":"Texas A&M Natural Resources Institute","active":true,"usgs":false}],"preferred":false,"id":946352,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lopez, Roel R.","contributorId":359853,"corporation":false,"usgs":false,"family":"Lopez","given":"Roel","middleInitial":"R.","affiliations":[{"id":78517,"text":"Texas A&M Natural Resources Institute","active":true,"usgs":false}],"preferred":false,"id":946353,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hunter, Elizabeth Ann 0000-0003-4710-167X","orcid":"https://orcid.org/0000-0003-4710-167X","contributorId":288535,"corporation":false,"usgs":true,"family":"Hunter","given":"Elizabeth","email":"","middleInitial":"Ann","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":946354,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70266002,"text":"70266002 - 2025 - Complex staged emplacement of a basaltic lava: The example of the July 1974 flow of Kīlauea","interactions":[],"lastModifiedDate":"2025-04-23T14:27:13.610544","indexId":"70266002","displayToPublicDate":"2025-03-31T09:21:18","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Complex staged emplacement of a basaltic lava: The example of the July 1974 flow of Kīlauea","docAbstract":"Basaltic lava flows can be highly destructive. Forecasting the future path and/or behavior of an active lava flow is challenging because topography is often poorly constrained and lava has a complex rheology and emplacement history. Preserved lavas are an important source of information which, combined with observations of active flows, underpins conceptual models of lava flow emplacement. However, the value of preserved lavas is limited because pre-eruptive topography and, thus, syn-eruptive lava flow geometry are usually not known. Here, we use tree-mold data to constrain pre-eruptive topography and syn-eruptive lava flow geometry of the July 1974 flow of Kīlauea (USA). Tree molds, which are formed after advancing lava encloses standing trees, preserve the lava inundation height and the final preserved thickness of lava. We used data from 282 tree molds to reconstruct the temporal and spatial evolution of the ~ 2.1 km-long July 1974 flow. The tree mold dataset yields a detailed dynamic picture of staged emplacement, separated by intervals of ponding. In some ponded areas, flow depth during emplacement (~ 5 m) was twice the preserved thickness of the final lava (2–3 m). Drainage of the ponds led to episodic surges in flow advancement, decoupled from fluctuations in vent discharge rate. We infer that the final breakout occurred after the cessation of fountaining. Such complex emplacement histories may be common for pāhoehoe lavas at Kīlauea and elsewhere in situations where the terrain is of variable slope, and/or where lava is temporarily perched and stored.
","language":"English","publisher":"Springer","doi":"10.1007/s00445-025-01817-0","usgsCitation":"Biass, S., Houghton, B.F., Llewellin, E.W., Curran, K., Thordarson, T., Orr, T., Parcheta, C., and Mouginis-Mark, P.J., 2025, Complex staged emplacement of a basaltic lava: The example of the July 1974 flow of Kīlauea: Bulletin of Volcanology, v. 87, 30, 14 p., https://doi.org/10.1007/s00445-025-01817-0.","productDescription":"30, 14 p.","ipdsId":"IP-106014","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":488501,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00445-025-01817-0","text":"Publisher Index Page"},{"id":484914,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilaueau volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.28799286883776,\n 19.435261686847895\n ],\n [\n -155.28799286883776,\n 19.272560860056274\n ],\n [\n -155.1179644435753,\n 19.272560860056274\n ],\n [\n -155.1179644435753,\n 19.435261686847895\n ],\n [\n -155.28799286883776,\n 19.435261686847895\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"87","noUsgsAuthors":false,"publicationDate":"2025-03-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Biass, Sebastian","contributorId":353667,"corporation":false,"usgs":false,"family":"Biass","given":"Sebastian","affiliations":[{"id":84453,"text":"University of Geneva, Geneva, Switzerland","active":true,"usgs":false}],"preferred":false,"id":934281,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Houghton, Bruce F. 0000-0002-7532-9770","orcid":"https://orcid.org/0000-0002-7532-9770","contributorId":140077,"corporation":false,"usgs":false,"family":"Houghton","given":"Bruce","email":"","middleInitial":"F.","affiliations":[{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false},{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":934282,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Llewellin, Edward W.","contributorId":353668,"corporation":false,"usgs":false,"family":"Llewellin","given":"Edward","middleInitial":"W.","affiliations":[{"id":25252,"text":"Durham University","active":true,"usgs":false}],"preferred":false,"id":934283,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Curran, Kristine C","contributorId":353669,"corporation":false,"usgs":false,"family":"Curran","given":"Kristine C","affiliations":[{"id":39036,"text":"University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":934284,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thordarson, Thorvaldur","contributorId":197925,"corporation":false,"usgs":false,"family":"Thordarson","given":"Thorvaldur","email":"","affiliations":[{"id":35089,"text":"Institute of Earth Sciences, Nordvulk, University of Iceland","active":true,"usgs":false}],"preferred":false,"id":934285,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Orr, Tim R. 0000-0003-1157-7588","orcid":"https://orcid.org/0000-0003-1157-7588","contributorId":26365,"corporation":false,"usgs":true,"family":"Orr","given":"Tim R.","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":true,"id":934286,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Parcheta, Carolyn 0000-0001-6556-4630 cparcheta@usgs.gov","orcid":"https://orcid.org/0000-0001-6556-4630","contributorId":215617,"corporation":false,"usgs":true,"family":"Parcheta","given":"Carolyn","email":"cparcheta@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":934287,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mouginis-Mark, Peter J. 0000-0002-7173-6141","orcid":"https://orcid.org/0000-0002-7173-6141","contributorId":36793,"corporation":false,"usgs":false,"family":"Mouginis-Mark","given":"Peter","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":934288,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70270325,"text":"70270325 - 2025 - The effects of breeding status on common raven movement, home range, and habitat selection","interactions":[],"lastModifiedDate":"2025-08-14T14:21:36.529864","indexId":"70270325","displayToPublicDate":"2025-03-31T09:18:29","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"The effects of breeding status on common raven movement, home range, and habitat selection","docAbstract":"Anthropogenic infrastructure has contributed to increasing common raven (Corvus corax) abundance across the Great Basin region of the United States, particularly in sagebrush ecosystems, where high raven densities are correlated with reduced sage-grouse (Centrocercus urophasianus) nest survival. Our understanding of how raven reproductive behavior affects sage-grouse nest predation is limited, especially considering their overlapping breeding seasons. Understanding differences in space use and resource selection between breeding and non-breeding ravens could help identify high-use areas and corresponding predation risk for sage-grouse nests. We analyzed space use and resource selection of breeding (n = 13) and non-breeding (n = 32) global positioning system (GPS)-marked ravens in Nevada, USA (2017–2022) during the breeding season (1 March–31 June). We compared home-range size, core area size, step lengths, and resource selection within a Bayesian framework with inference made by comparing Bayesian credible intervals (CRI). We generated home range and core area estimates using autocorrelated kernel density methods. We did not find a difference in home range size between breeding (469.33 km2, 95% CRI = 228.79–709.45 km2) and non-breeding (525.26 km2, 95% CRI = 410.71–654.10 km2) ravens. However, breeding ravens had smaller core areas (10.77 km2, 95% CRI = 3.16–35.78 km2) and shorter step lengths (1,160.33 m/hr, 95% CRI = 1,087.78–1,277.17 m/hr) than non-breeding ravens (core area = 279.50 km2, 95% CRI = 206.77–363.72 km2; step length = 1,953.74 m/hr, 95% CRI = 1,898.42–2,009.56 m/hr). Ravens in both breeding classes selected high normalized difference vegetation index (NDVI) and low annual grass and shrub cover, but non-breeding ravens showed stronger selection for low annual grass and shrub cover areas. We found strong differences in selection between breeding classes for 6 of our 9 covariates: distance to road, solar radiation, distance to natural water, distance to forest edge, percent annual grass cover, and percent shrub cover. Non-breeding ravens concentrated activity near forest edges, natural water sources, and anthropogenic features, whereas breeding ravens focused activity close to their nests. Our findings suggest that raven management could be more effective if it targeted areas with high NDVI and low annual grass and shrub cover, especially in anthropogenically modified landscapes and near forest edges, and prevented raven nest establishment near prey populations of concern.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70004","usgsCitation":"Brockman, J.C., Coates, P., Tull, J.C., Jackson, P.J., O’Neil, S.T., and Williams, P.J., 2025, The effects of breeding status on common raven movement, home range, and habitat selection: Journal of Wildlife Management, v. 89, e70004, 20 p., https://doi.org/10.1002/jwmg.70004.","productDescription":"e70004, 20 p.","ipdsId":"IP-166811","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":498236,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.70004","text":"Publisher Index Page"},{"id":494091,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.99706101795434,\n 41.99257312862932\n ],\n [\n -119.99706101795434,\n 38.66664669711224\n ],\n [\n -114.0973231285738,\n 38.66664669711224\n ],\n [\n -114.0973231285738,\n 41.99257312862932\n ],\n [\n -119.99706101795434,\n 41.99257312862932\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"89","noUsgsAuthors":false,"publicationDate":"2025-03-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Brockman, Julia C.","contributorId":359680,"corporation":false,"usgs":false,"family":"Brockman","given":"Julia","middleInitial":"C.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":946036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coates, Peter S. 0000-0003-2672-9994","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":352181,"corporation":false,"usgs":true,"family":"Coates","given":"Peter S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":946037,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tull, John C.","contributorId":359682,"corporation":false,"usgs":false,"family":"Tull","given":"John","middleInitial":"C.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":946038,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jackson, Pat J.","contributorId":359685,"corporation":false,"usgs":false,"family":"Jackson","given":"Pat","middleInitial":"J.","affiliations":[{"id":85566,"text":"NDOW","active":true,"usgs":false}],"preferred":false,"id":946039,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O’Neil, Shawn T. 0000-0002-0899-5220","orcid":"https://orcid.org/0000-0002-0899-5220","contributorId":206589,"corporation":false,"usgs":true,"family":"O’Neil","given":"Shawn","email":"","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":946040,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Williams, Perry J.","contributorId":359688,"corporation":false,"usgs":false,"family":"Williams","given":"Perry","middleInitial":"J.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":946041,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70267980,"text":"70267980 - 2025 - Topographic controls on landslide mobility: Modeling hurricane-induced landslide runout and debris-flow inundation in Puerto Rico","interactions":[],"lastModifiedDate":"2025-06-10T14:20:41.696971","indexId":"70267980","displayToPublicDate":"2025-03-31T09:12:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2824,"text":"Natural Hazards and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Topographic controls on landslide mobility: Modeling hurricane-induced landslide runout and debris-flow inundation in Puerto Rico","docAbstract":"In 2017, Hurricane Maria triggered more than 70 000 landslides in Puerto Rico. After initiation, these predominantly shallow landslides were mobilized to varying extents – some landslides only traveled partway downslope, whereas others reached drainage channels and were mobilized into long-traveled debris flows that could severely impact roads and infrastructure. Thus, forecasting potential landslide runout and inundation zones is critical for estimating landslide and debris-flow hazards. Here we conduct an in-depth topographic analysis of landslide-affected areas from nine study areas and apply a linked modeling technique to estimate locations susceptible to varying degrees of landslide runout in the Lares, Utuado, and Naranjito municipalities.
We find that the longest runout lengths are observed on high-relief escarpments, although highly mobile long-runout debris flows also occurred in lower-relief dissected uplands. These topographic differences indicate that landslides that are initiated under similar conditions and possess equal potential to be mobilized as debris flows may not travel the same distances or affect the same areal extent. Our modeling approach allows the local topography to automatically control the implementation of two runout methods: (1) H/L runout zones are assigned directly downslope of landslide source zones, and (2) debris-flow inundation zones are estimated in the presence of a channel network. Debris-flow volumes are calculated as a function of area-integrated growth factors, estimated as a function of the upstream areas susceptible to shallow landslides. Applying our empirical modeling scheme over an area of 560 km2, our results highlight the efficacy of our methods for the assessment of the potential for landslide runout and debris-flow inundation over diverse terrains with varied susceptibility.
","language":"English","publisher":"European Geosciences Union","doi":"10.5194/nhess-25-1229-2025","usgsCitation":"Brien, D.L., Reid, M.E., Cronkite-Ratcliff, C., and Perkins, J.P., 2025, Topographic controls on landslide mobility: Modeling hurricane-induced landslide runout and debris-flow inundation in Puerto Rico: Natural Hazards and Earth System Sciences, v. 25, no. 3, p. 1229-1253, https://doi.org/10.5194/nhess-25-1229-2025.","productDescription":"25 p.","startPage":"1229","endPage":"1253","ipdsId":"IP-147641","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":490625,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/nhess-25-1229-2025","text":"Publisher Index Page"},{"id":490306,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -66.96551536620369,\n 18.33797102243001\n ],\n [\n -66.96551536620369,\n 18.13229474686122\n ],\n [\n -66.18238268856022,\n 18.13229474686122\n ],\n [\n -66.18238268856022,\n 18.33797102243001\n ],\n [\n -66.96551536620369,\n 18.33797102243001\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"25","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-03-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Brien, Dianne L. 0000-0003-3227-7963 dbrien@usgs.gov","orcid":"https://orcid.org/0000-0003-3227-7963","contributorId":229851,"corporation":false,"usgs":true,"family":"Brien","given":"Dianne","email":"dbrien@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":939854,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reid, Mark E. 0000-0002-5595-1503 mreid@usgs.gov","orcid":"https://orcid.org/0000-0002-5595-1503","contributorId":1167,"corporation":false,"usgs":true,"family":"Reid","given":"Mark","email":"mreid@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":939855,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cronkite-Ratcliff, Collin 0000-0001-5485-3832 ccronkite-ratcliff@usgs.gov","orcid":"https://orcid.org/0000-0001-5485-3832","contributorId":203951,"corporation":false,"usgs":true,"family":"Cronkite-Ratcliff","given":"Collin","email":"ccronkite-ratcliff@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":939856,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perkins, Jonathan P. 0000-0002-6113-338X","orcid":"https://orcid.org/0000-0002-6113-338X","contributorId":237053,"corporation":false,"usgs":true,"family":"Perkins","given":"Jonathan","email":"","middleInitial":"P.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":939857,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70266021,"text":"70266021 - 2025 - The GorDAS Distributed Acoustic Sensing experiment above the Cascadia locked zone and subducted Gorda Slab","interactions":[],"lastModifiedDate":"2025-07-09T15:59:50.150051","indexId":"70266021","displayToPublicDate":"2025-03-31T09:00:41","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"The GorDAS Distributed Acoustic Sensing experiment above the Cascadia locked zone and subducted Gorda Slab","docAbstract":"The southernmost portion of the Cascadia Subduction zone in Northern California produces high rates of moderate and large earthquakes owing to subduction of the Gorda slab and deformation associated with the Mendocino Triple Junction. Distributed Acoustic Sensing (DAS) is rapidly advancing as a method for detecting earthquakes and imaging crustal structure. We have begun a long-term DAS monitoring experiment on buried telecom fiber in Arcata, California, with the goal of increasing the available recordings of moderate to large earthquakes as well as imaging seismogenic structures. We have recorded over a year's worth of data, including most aftershocks of the 2022 Mw6.4 Ferndale earthquake, though not the mainshock itself. The dataset includes numerous magnitude 3.5 and larger earthquakes including the 2023/01/01 Mw5.4 Rio Dell earthquake. Here we present initial results comparing an earthquake detection algorithm, run in real-time on the processing unit of the interrogator system, with both the ShakeAlert earthquake early warning system as well as a post-processed earthquake catalog developed with deep-learning phase-picker algorithms. The rapid onboard processing of the detector demonstrates the potential utility of DAS-based edge computing for earthquake early warning. We also verify the quality of the strain waveforms both in terms of peak amplitudes and waveform similarity using about five months of nodal seismometer data. These instruments were deployed roughly every 300 m along the ~15km long cable and validate large variations in peak strain over short distances that are seen in the DAS data. All data from time windows surrounding both the local and teleseismic earthquakes are publicly available, which will improve our understanding of both the performance of DAS systems in moderate earthquakes and earthquake hazards associated with the Gorda subduction zone.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220240415","usgsCitation":"McGuire, J., Barbour, A.J., Stewart, C., Yartsev, V., Karrenbach, M., Hemphill-Haley, M., McPherson, R.C., Stockdale, K., Yoon, C., and Sawi, T., 2025, The GorDAS Distributed Acoustic Sensing experiment above the Cascadia locked zone and subducted Gorda Slab: Seismological Research Letters, v. 96, no. 4, p. 2489-2503, https://doi.org/10.1785/0220240415.","productDescription":"15 p.","startPage":"2489","endPage":"2503","ipdsId":"IP-171005","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":484911,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Cascadia locked zone, Gorda slab","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -126,\n 42\n ],\n [\n -126,\n 39.5\n ],\n [\n -122,\n 39.5\n ],\n [\n -122,\n 42\n ],\n [\n -126,\n 42\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"96","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-03-31","publicationStatus":"PW","contributors":{"authors":[{"text":"McGuire, Jeffrey J. 0000-0001-9235-2166","orcid":"https://orcid.org/0000-0001-9235-2166","contributorId":219786,"corporation":false,"usgs":true,"family":"McGuire","given":"Jeffrey J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":934338,"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":934339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stewart, Connie","contributorId":222103,"corporation":false,"usgs":false,"family":"Stewart","given":"Connie","email":"","affiliations":[{"id":18889,"text":"University of New Brunswick","active":true,"usgs":false}],"preferred":false,"id":934340,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yartsev, Victor","contributorId":350345,"corporation":false,"usgs":false,"family":"Yartsev","given":"Victor","affiliations":[{"id":83720,"text":"Luna, Inc","active":true,"usgs":false}],"preferred":false,"id":934341,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Karrenbach, Martin","contributorId":353682,"corporation":false,"usgs":false,"family":"Karrenbach","given":"Martin","affiliations":[{"id":84462,"text":"Seismics Unuusal","active":true,"usgs":false}],"preferred":false,"id":934342,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hemphill-Haley, Mark","contributorId":295931,"corporation":false,"usgs":false,"family":"Hemphill-Haley","given":"Mark","affiliations":[{"id":63943,"text":"Cal Poly Humboldt","active":true,"usgs":false}],"preferred":false,"id":934343,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McPherson, Robert C.","contributorId":350346,"corporation":false,"usgs":false,"family":"McPherson","given":"Robert","middleInitial":"C.","affiliations":[{"id":83721,"text":"Cal Poly Humboldt Univ.","active":true,"usgs":false}],"preferred":false,"id":934344,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stockdale, Kari","contributorId":352201,"corporation":false,"usgs":false,"family":"Stockdale","given":"Kari","affiliations":[{"id":39079,"text":"NYSDEC","active":true,"usgs":false}],"preferred":false,"id":934345,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Yoon, Clara 0000-0003-4521-3889","orcid":"https://orcid.org/0000-0003-4521-3889","contributorId":222019,"corporation":false,"usgs":true,"family":"Yoon","given":"Clara","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":934346,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sawi, Theresa Marie 0000-0001-5938-6743","orcid":"https://orcid.org/0000-0001-5938-6743","contributorId":350347,"corporation":false,"usgs":true,"family":"Sawi","given":"Theresa Marie","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":934347,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70274777,"text":"70274777 - 2025 - Status and trends in the Lake Superior fish community, 2024","interactions":[],"lastModifiedDate":"2026-04-09T14:00:02.558621","indexId":"70274777","displayToPublicDate":"2025-03-31T08:52:55","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Status and trends in the Lake Superior fish community, 2024","docAbstract":"The U.S. Geological Survey has conducted annual fishery surveys across Lake Superior since 1978 that describe trends in fish species occurrence and relative abundance to inform fisheries management and ecosystem health. In 2024, the Lake Superior fish community was sampled with daytime bottom and surface trawls at 72 nearshore locations in June and 36 offshore locations in July. Nearshore bottom trawls collected 22,190 fish represented by 27 species or morphotypes. The number of species collected at each location ranged from 1 to 12, with a median of 5.5 species. Estimated fish biomass at individual locations ranged from <0.1 to 62.9 kg per ha with a lakewide mean of 3.7 kg per ha. Offshore bottom trawls collected 33,634 fish represented by 12 species or morphotypes. Estimated fish biomass at individual locations ranged from 0.6 to 25.8 kg per ha with a lakewide mean of 8.3 kg per ha, which was the second highest for the period-of-record. Lakewide average densities (fish per ha) of age-1 fish were 1 per ha for Bloater, 5 per ha for Cisco, 1 per ha for Lake Whitefish, 60 per ha for Rainbow Smelt, and 19 per ha for Kiyi. Surface trawling collected 5,177 larval Coregonus individuals which was the third fewest Coregonus larvae collected in a whole lake survey since the larval fish survey began in 2014. Nearshore mean larval Coregonus densities were 176 fish per ha in June 2024 and offshore densities were 7 fish per ha in July 2024. June and July surface water temperatures were near the warmest for the period-of-record.
","language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Vinson, M., Evrard, L.M., Field, I., Gorman, O., Phillips, S., Watson, N.M., and Yule, D., 2025, Status and trends in the Lake Superior fish community, 2024, 26 p.","productDescription":"26 p.","ipdsId":"IP-172553","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":502345,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":502334,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.glfc.org/"}],"country":"Canada, United States","otherGeospatial":"Lake Superior","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.320068359375,\n 46.50973514453876\n ],\n [\n -84.35028076171875,\n 46.534303278597505\n ],\n [\n -84.4189453125,\n 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Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of western Oregon debris-flow hazards in burned and unburned environments","docAbstract":"In the steep and mountainous environment of western Oregon, debris flows pose a considerable threat to property, infrastructure and life. Wildfire is commonly known to increase the susceptibility of steep slopes to debris flows, but the extent of this process in the western Cascades is not well understood. The US Geological Survey (USGS) currently estimates postfire debris-flow likelihood and triggering rainfall thresholds using a model calibrated to a southern California inventory of debris flows generated by excess runoff within the first year after fire. Because of a lack of available data, this model has not been tested in western Oregon, or in locations where postfire debris flows initiate via other mechanisms (e.g., shallow landslides or in-channel failures). Using repeat field observations and aerial imagery, we developed two new debris-flow inventories within and adjacent to the perimeters of five 2020 wildfires in western Oregon: Archie Creek, Holiday Farm, Beachie Creek, Lionshead and Riverside. The first inventory focuses on postfire debris flows (2020–2022); the second focuses on debris flows prior to fires (1995–2020). Our inventories of prefire and postfire debris flows were used to document initiation mechanisms in Oregon's western Cascades and to evaluate the effects of wildfire. We found that wildfire changed the distribution of debris-flow initiation mechanisms in the western Cascades. After the wildfires, annual rates of runoff-generated debris flows increased by 22% and the number of shallow landslide-initiated debris flows decreased by 17% relative to before the wildfires. Despite this shift, shallow landsliding was the dominant debris-flow initiation mechanism in both unburned and burned environments. We found the performance of the current USGS debris-flow likelihood model was degraded relative to other previously tested locations across the intermountain western United States. Our results highlight the need for improved postfire hazard assessment in western Oregon based on regional model calibration that is tuned to the dominant debris-flow initiation mechanisms.
","language":"English","publisher":"Wiley","doi":"10.1002/ESP.70045","usgsCitation":"Selander, B., Calhoun, N.C., Burns, W., Kean, J.W., and Rengers, F.K., 2025, Assessment of western Oregon debris-flow hazards in burned and unburned environments: Earth Surface Processes and Landforms, v. 50, no. 4, e70045, 15 p., https://doi.org/10.1002/ESP.70045.","productDescription":"e70045, 15 p.","ipdsId":"IP-170327","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":488659,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp.70045","text":"Publisher Index Page"},{"id":484065,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"western Oregon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124.57278320768603,\n 46.34148488781506\n ],\n [\n -124.57278320768603,\n 42.016342483468776\n ],\n [\n -121.87720015148463,\n 42.016342483468776\n ],\n [\n -121.87720015148463,\n 46.34148488781506\n ],\n [\n -124.57278320768603,\n 46.34148488781506\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"50","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Selander, Brittany Danielle 0000-0002-3332-1068","orcid":"https://orcid.org/0000-0002-3332-1068","contributorId":344520,"corporation":false,"usgs":true,"family":"Selander","given":"Brittany Danielle","affiliations":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"preferred":true,"id":932462,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calhoun, Nancy C.","contributorId":216331,"corporation":false,"usgs":false,"family":"Calhoun","given":"Nancy","email":"","middleInitial":"C.","affiliations":[{"id":39395,"text":"DOGAMI","active":true,"usgs":false}],"preferred":false,"id":932463,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burns, William 0000-0002-4379-6198","orcid":"https://orcid.org/0000-0002-4379-6198","contributorId":344522,"corporation":false,"usgs":false,"family":"Burns","given":"William","affiliations":[{"id":32397,"text":"Oregon Department of Geology and Mineral Industries","active":true,"usgs":false}],"preferred":false,"id":932464,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":932465,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":932466,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70265697,"text":"70265697 - 2025 - Understanding predator-prey-competitor dynamics between Lower Missouri River Macrhybopsis and Scaphirhynchus using a population—bioenergetics model ensemble","interactions":[],"lastModifiedDate":"2025-04-15T14:57:29.302648","indexId":"70265697","displayToPublicDate":"2025-03-29T07:49:57","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16139,"text":"Ecological Modeling","active":true,"publicationSubtype":{"id":10}},"title":"Understanding predator-prey-competitor dynamics between Lower Missouri River Macrhybopsis and Scaphirhynchus using a population—bioenergetics model ensemble","docAbstract":"The pallid sturgeon Scaphirhynchus albus is a long-lived, endangered fish in the Missouri River. Individuals become piscivorous as adults, so recruitment from stocking or reproduction could reduce populations of prey, including Macrhybopsis chubs. We constructed an individual- and age-based, multi-species, predator-prey-competitor model (IAMP) to represent the benthic community (sturgeons, chubs, and chironomids) of the Lower Missouri River (LMR) to explore scenarios of potential predator-prey-competitor dynamics. Our simulations suggest that chubs alone are unlikely able to support a level of LMR pallid sturgeon similar to historical or current populations. These simulations also suggest that adult pallid sturgeon may need to shift to non-chub prey fish to achieve the greater sizes observed in the Upper Missouri River. When annual hydrologic regimes were included, we found a negative relationship between chub relative abundance and previous year 30-day minimum flows. Inclusion of temporal environmental variability made it clear that large chub populations may be necessary to support LMR pallid sturgeon. When full stochasticity was included in the IAMP, chub population sizes needed to increase further to ensure continued reproduction and recruitment of both chubs and pallid sturgeon. These results support the hypothesis that the pallid sturgeon population in the Lower Missouri River may be food-limited. However, the full extent of this limitation and the management changes needed to address this will require more research on the biology and population dynamics of this fish community, on pallid sturgeon interactions with prey species, and on how sympatric species may be affected during the pallid sturgeon recovery process.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2025.111097","usgsCitation":"Wildhaber, M.L., Albers, J.L., and Green, N., 2025, Understanding predator-prey-competitor dynamics between Lower Missouri River Macrhybopsis and Scaphirhynchus using a population—bioenergetics model ensemble: Ecological Modeling, v. 504, 111097, 28 p., https://doi.org/10.1016/j.ecolmodel.2025.111097.","productDescription":"111097, 28 p.","ipdsId":"IP-164525","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":488248,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2025.111097","text":"Publisher Index Page"},{"id":484578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Kansas, Minnesota, Missouri, Montana, Nebraska, North Dakota, South Dakota, Wyoming","otherGeospatial":"Missouri River","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-111.048974,44.474072],[-111.323669,44.724474],[-111.50494,44.635746],[-111.469185,44.552044],[-112.258665,44.569516],[-112.387389,44.448058],[-112.749011,44.491233],[-112.844859,44.358221],[-113.134824,44.752763],[-113.455071,44.865424],[-113.802955,45.592631],[-114.015633,45.696127],[-114.345019,45.459916],[-114.559038,45.565706],[-114.422963,45.855381],[-114.527096,46.146218],[-114.322912,46.642938],[-114.76689,46.696901],[-115.294785,47.220914],[-115.731348,47.433381],[-115.72377,47.696671],[-116.049153,47.999923],[-116.049193,49.000912],[-95.153711,48.998903],[-95.153314,49.384358],[-94.878454,49.333193],[-94.640803,48.741171],[-93.818375,48.534442],[-92.984963,48.623731],[-92.634931,48.542873],[-92.698824,48.494892],[-92.341207,48.23248],[-92.066269,48.359602],[-91.542512,48.053268],[-90.88548,48.245784],[-90.703702,48.096009],[-89.489226,48.014528],[-90.735927,47.624343],[-92.058888,46.809938],[-92.025789,46.710839],[-92.189091,46.717541],[-92.291976,46.503997],[-92.33859,46.050111],[-92.869193,45.717568],[-92.646602,45.441635],[-92.807362,44.758909],[-91.410555,43.970892],[-91.244135,43.774667],[-91.243183,43.540309],[-96.591213,43.500514],[-96.439335,43.113916],[-96.630311,42.770885],[-96.396107,42.484095],[-96.272901,42.047281],[-96.129186,41.965136],[-96.081843,41.580407],[-95.850188,41.184798],[-95.885349,40.721093],[-95.758045,40.613759],[-91.625161,40.5435],[-91.452458,40.375501],[-91.510322,40.127994],[-91.369953,39.745042],[-90.721593,39.23273],[-90.653164,38.916141],[-90.113327,38.849306],[-90.367013,38.250054],[-89.952499,37.883218],[-89.516685,37.692762],[-89.438275,37.161287],[-89.102879,36.9697],[-89.120437,36.782071],[-89.429311,36.481875],[-89.55264,36.577178],[-89.527029,36.341679],[-89.703511,36.243412],[-89.615128,36.113816],[-89.733095,36.000608],[-90.368718,35.995812],[-90.075934,36.281485],[-90.157136,36.484317],[-94.617919,36.499414],[-94.699735,36.998805],[-109.045223,36.999084],[-109.050076,41.000659],[-111.046723,40.997959],[-111.048974,44.474072]]]},\"properties\":{\"name\":\"Colorado\",\"nation\":\"USA \"}}]}","volume":"504","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":933316,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Albers, Janice L. 0000-0002-6312-8269 jalbers@usgs.gov","orcid":"https://orcid.org/0000-0002-6312-8269","contributorId":3972,"corporation":false,"usgs":true,"family":"Albers","given":"Janice","email":"jalbers@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":933317,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Green, Nicholas S.","contributorId":301918,"corporation":false,"usgs":false,"family":"Green","given":"Nicholas S.","affiliations":[{"id":65362,"text":"Kennesaw State University","active":true,"usgs":false}],"preferred":false,"id":933318,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70267348,"text":"70267348 - 2025 - Do watershed conditions or local climate play a larger role in determining regional stream salamander distributions?","interactions":[],"lastModifiedDate":"2025-09-09T14:37:07.042308","indexId":"70267348","displayToPublicDate":"2025-03-28T10:34:43","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Do watershed conditions or local climate play a larger role in determining regional stream salamander distributions?","docAbstract":"Anthropogenic influences like land use and climate variability interact with natural heterogeneity to influence the persistence of stream salamanders. Using occupancy modeling in the southern Appalachian Mountains, we investigated the influence of land use, climate, and physical context (e.g., drainage area, elevation) on stream salamander occupancy, noting species, and life stage specific responses. Our results illustrate that forest loss is a better predictor of salamander occupancy than physical context (elevation) or climate. Across the gradients in this dataset, precipitation did not have a significant influence on salamander occupancy, potentially due to the observed narrow, wet gradient. Temperature had little effect on Eurycea wilderae occupancy; however, temperature negatively affected adult but not larval Desmognathus amphileucus occupancy. Spatial thermal variability in this study was larger than projected increases due to climate change, suggesting that local mechanisms (e.g., behavior or physiological plasticity) may facilitate salamander resilience to climate change. However, the negative effects of forest loss coupled with rising temperatures (e.g., increased solar radiation, warmer stream runoff) underscore the importance of riparian forests in mitigating climate stressors. Preserving forest cover is critical for maintaining stream salamander populations and may offer opportunities for maintaining resilience in the face of additional stressors like rising temperatures or drought.
","language":"English","publisher":"Springer","doi":"10.1007/s10750-025-05848-8","collaboration":"USFWS","usgsCitation":"Cecala, K.K., Halstead, B., McGrory, J., and Maerz, J.C., 2025, Do watershed conditions or local climate play a larger role in determining regional stream salamander distributions?: Hydrobiologia, v. 852, p. 4053-4067, https://doi.org/10.1007/s10750-025-05848-8.","productDescription":"15 p.","startPage":"4053","endPage":"4067","ipdsId":"IP-114382","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":486222,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia, North Carolina","otherGeospatial":"Upper Little Tennessee watersheds","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -84.2386909895219,\n 35.52532859216157\n ],\n [\n -84.25914633148402,\n 34.38251830455587\n ],\n [\n -82.90909376196274,\n 34.37126510334987\n ],\n [\n -82.90909376196274,\n 35.52532859216157\n ],\n [\n -84.2386909895219,\n 35.52532859216157\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"852","noUsgsAuthors":false,"publicationDate":"2025-03-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Cecala, Kristen K.","contributorId":171762,"corporation":false,"usgs":false,"family":"Cecala","given":"Kristen","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":937824,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":937825,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGrory, James S.","contributorId":355637,"corporation":false,"usgs":false,"family":"McGrory","given":"James S.","affiliations":[{"id":84785,"text":"University of the South","active":true,"usgs":false}],"preferred":false,"id":937826,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maerz, John C.","contributorId":341635,"corporation":false,"usgs":false,"family":"Maerz","given":"John","email":"","middleInitial":"C.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":937827,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70265930,"text":"70265930 - 2025 - A crustal thermal model of the conterminous U.S. constrained by multiple data sets: A Monte-Carlo approach","interactions":[],"lastModifiedDate":"2025-04-22T15:33:21.230287","indexId":"70265930","displayToPublicDate":"2025-03-28T10:31:24","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"A crustal thermal model of the conterminous U.S. constrained by multiple data sets: A Monte-Carlo approach","docAbstract":"The thermal structure of the continental crust plays a critical role in understanding its elastic and rheologic properties as well as its dynamic processes. Thermal parameter data sets on continental scales have been used to constrain the crustal thermal structure, including both the direct (e.g. temperature, heat flux and heat conductivity measured at the surface) and indirect (e.g. seismically derived Mohorovičić discontinuity (Moho) temperature, geomagnetically derived Curie depth) observations. In this study, we present a new continental scale crustal heat generation model with additional information from seismologically inferred crustal composition. Together with previous direct and indirect thermal parameter data sets in the conterminous United States, we use the new crustal heat generation model to construct a 3-D crustal temperature model under a newly developed Bayesian framework. Specifically, we first derive profiles of crustal heat generation based on an empirical geochemical relationship at 1683 locations where seismologically derived crustal composition information is available. Then for each of these locations, the average heat generation values in the upper, middle and lower crust are combined with other thermal parameters through a Markov Chain Monte-Carlo inversion for a conductive, vertically smooth temperature profile. The results, posterior distributions of temperature profiles, are used to generate a 3-D crustal thermal model with the uncertainties systematically assessed. The new temperature model overall exhibits similar patterns to that from the U.S. Geological Survey National Crustal Model, but also reduces possible biases and the model's dependence on a single thermal parameter.
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Weisen","contributorId":353597,"corporation":false,"usgs":false,"family":"Shen","given":"Weisen","affiliations":[{"id":36488,"text":"Stony Brook University","active":true,"usgs":false}],"preferred":false,"id":934054,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boyd, Oliver S. 0000-0001-9457-0407 olboyd@usgs.gov","orcid":"https://orcid.org/0000-0001-9457-0407","contributorId":140739,"corporation":false,"usgs":true,"family":"Boyd","given":"Oliver","email":"olboyd@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":934055,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70268306,"text":"70268306 - 2025 - Evaluating five shoreline change models against 40 years of field survey data at an embayed sandy beach","interactions":[],"lastModifiedDate":"2025-06-20T15:18:04.082324","indexId":"70268306","displayToPublicDate":"2025-03-28T10:11:39","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1262,"text":"Coastal Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating five shoreline change models against 40 years of field survey data at an embayed sandy beach","docAbstract":"Although established techniques for remote sensing of river bathymetry perform poorly in turbid water, image velocimetry can be effective under these conditions. This study describes a framework for mapping both of these attributes: Depths Inferred from Velocities Estimated by Remote Sensing, or DIVERS. The workflow involves linking image-derived velocities to depth via a flow resistance equation and invoking an optimization algorithm. We generalized an earlier formulation of DIVERS by: (1) using moving aircraft river velocimetry (MARV) to obtain a continuous, spatially extensive velocity field; (2) working within a channel-centered coordinate system; (3) allowing for local optimization of multiple parameters on a per-cross section basis; and (4) introducing a second objective function that can be used when discharge is not known. We also quantified the sensitivity of depth estimates to each parameter and input variable. MARV-based velocity estimates agreed closely with field measurements (
Climate change is affecting coastal ecosystems worldwide as water temperatures increase, hydrologic regimes change, and sea levels rise. Consequently, estuaries risk declines in ecosystem functioning due to increasing temperatures and other hydrologic factors. Characterizing and predicting estuarine water temperature are challenging because these systems are highly dynamic. Statistical models have been used to accurately assess air temperature-water temperature relationships in lakes and streams but have not been effectively applied to tidally influenced ecosystems like estuaries. We used 6 years of continuous monitoring data from the Nisqually River Delta in Puget Sound, Washington, U.S.A., to parameterize and run a non-linear statistical model and generate spatially explicit model predictions. Our goal was to examine spatiotemporal patterns in estuarine water temperature and thermal refugia given current estimates of climactic change. The performance of the parameterized model was similar to that of non-linear stream temperature models (NSE = 0.76; RMSE = 2.34 °C). Scenarios incorporating forecasted high-emission air temperatures through the year 2100 (+ 7 °C) predicted a corresponding 3.55 ± 0.63 °C increase in average water temperatures; however, moderate and high rates of sea-level rise offset temperature increases by 3–20% and substantially reduced the amount of time temperatures exceeded the thermal stress threshold of 20 °C for juvenile salmon. These findings demonstrate how the effects of one climate stressor (sea-level rise) may offset another (temperature increases) to maintain thermal refugia for coldwater fishes. Similar exercises may allow managers to explore mitigation options like the planting of riparian vegetation or modified flooding regimes to further offset rising water temperatures.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s12237-025-01510-7","usgsCitation":"Davis, M.J., Woo, I., and De La Cruz, S.E., 2025, Estuarine tidal cycles may preserve thermal refugia as global temperatures increase: Estuaries and Coasts, v. 48, 90, 19 p., https://doi.org/10.1007/s12237-025-01510-7.","productDescription":"90, 19 p.","ipdsId":"IP-129413","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":486525,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Nisqually River Delta, Puget Sound, Salish Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.55330830655157,\n 48.98716401827198\n ],\n [\n -123.55330830655157,\n 47.20224465518157\n ],\n [\n -121.87955279406418,\n 47.20224465518157\n ],\n [\n -121.87955279406418,\n 48.98716401827198\n ],\n [\n -123.55330830655157,\n 48.98716401827198\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"48","noUsgsAuthors":false,"publicationDate":"2025-03-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Davis, Melanie J. 0000-0003-1734-7177","orcid":"https://orcid.org/0000-0003-1734-7177","contributorId":202773,"corporation":false,"usgs":true,"family":"Davis","given":"Melanie","email":"","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":938184,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woo, Isa 0000-0002-8447-9236 iwoo@usgs.gov","orcid":"https://orcid.org/0000-0002-8447-9236","contributorId":2524,"corporation":false,"usgs":true,"family":"Woo","given":"Isa","email":"iwoo@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":938185,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"De La Cruz, Susan E.W. 0000-0001-6315-0864","orcid":"https://orcid.org/0000-0001-6315-0864","contributorId":202774,"corporation":false,"usgs":true,"family":"De La Cruz","given":"Susan","email":"","middleInitial":"E.W.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":938186,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70273791,"text":"70273791 - 2025 - Pyrethroid insecticide pollution of wetlands reduces amphipod density","interactions":[],"lastModifiedDate":"2026-01-30T16:04:39.956184","indexId":"70273791","displayToPublicDate":"2025-03-28T08:58:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Pyrethroid insecticide pollution of wetlands reduces amphipod density","docAbstract":"Freshwater amphipods play a key role as forage for breeding and migrating waterfowl in wetlands throughout the Prairie Pothole Region (PPR) of North America. Amphipod populations declined in recent decades, but there is a limited understanding of mechanisms for their decline and their uneven distribution across the landscape. Row crop agriculture is abundant in the PPR, but the sensitivity of amphipods and wetland ecosystems to agrochemical pollution has rarely been studied. We investigated relationships among amphipod abundances (specifically, Gammarus lacustris and Hyalella azteca), land uses, water quality, and pyrethroid insecticide contamination of wetland sediments. Our study design targeted a large gradient of amphipod abundances and accounted for water quality, hydrology, and habitat metrics that commonly influence amphipods. We found a significant, negative relationship between pyrethroid concentrations and the abundance of the two amphipod species. Pyrethroids were detected at relatively low concentrations (<2.5 ng/g sediment) in 44% of study wetlands and occurred most frequently in intensively cropped watersheds with low vegetative filter strip coverage. Interestingly, wetlands on state and federal wildlife reserves had regular occurrence of pyrethroids, demonstrating the pervasive transport of these compounds and the intensity of agriculture in the PPR. The pyrethroids are likely entering these wetlands through overland transport during rain events or aerial spray drift, and our results show that forest patches and vegetative filter strips may reduce pyrethroid exposure to both wetlands and amphipods.
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