Beta diversity quantifies the similarity of ecological assemblages. Its increase, known as biotic homogenisation, can be a consequence of biological invasions. However, species occurrence (presence/absence) and abundance-based analyses can produce contradictory assessments of the magnitude and direction of changes in beta diversity. Previous work indicates these contradictions should be less frequent in nature than in theory, but a growing number of empirical studies report discrepancies between occurrence- and abundance-based approaches. Understanding if these discrepancies represent a few isolated cases or are systematic across a diversity of ecosystems would allow us to better understand the general patterns, mechanisms and impacts of biotic homogenisation.
United States.
1963–2020.
Vascular plants.
We used a dataset of more than 70,000 vegetation survey plots to assess differences in biotic homogenisation with and without invasion using both occurrence- and abundance-based metrics of beta diversity. We estimated taxonomic biotic homogenisation by comparing beta diversity of invaded and uninvaded plots with both classes of metrics and investigated the characteristics of the non-native species pool that influenced the likelihood that these metrics disagree.
In 78% of plot comparisons, occurrence- and abundance-based calculations agreed in direction, and the two metrics were generally well correlated. Our empirical results are consistent with previous theory. Discrepancies between the metrics were more likely when the same non-native species was at high cover at both plots compared for beta diversity, and when these plots were spatially distant.
In about 20% of cases, our calculations revealed differences in direction (homogenisation vs. differentiation) when comparing occurrence- and abundance-based metrics, indicating that the metrics are not interchangeable, especially when distances between plots are high and invader diversity is low. When data permit, combining the two approaches can offer insights into the role of invasions and extirpations in driving biotic homogenisation/differentiation.
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12201 Sunrise Valley Drive, Mail Stop 303
Reston, VA 20192
Although sculpin can play important ecological roles, serving as abundant key meso-predators in freshwater aquatic systems, much remains to be learned about their development and ecology. Depth discrete light traps effectively captured larval sculpin from Lookout Point Reservoir in the Willamette Basin, Oregon, USA. We confirm that these larvae were Prickly Sculpin (Cottus asper) based on morphology and genetics. We also document larval size and development and examine monthly vertical distributions and sympatric invertebrate taxa. We captured 1,048 pelagic larval Prickly Sculpin from 4.21 to 42.0 mm total length. Sampling occurred in traps set up to 20 m above the substrate, with Prickly Sculpin captured at all sampled depths. Captures shifted toward deeper reservoir habitats corresponding to increases in average body sizes as the season progressed from early spring to fall. We found most larval Prickly Sculpin at locations within the main reservoir body, several kilometers downstream of riverine areas. In addition to trap location, the abundance of larval Prickly Sculpin per trap was strongly associated with aquatic mites (absent from Prickly Sculpin stomachs). These findings suggest potentially shared ecological drivers of the observed distributions of larval Prickly Sculpin and mites. Collectively, we demonstrate that light trapping can be a useful method for collecting pelagic juvenile sculpins from reservoirs, in this case Prickly Sculpin, with the potential to improve our understanding of distribution, life-history patterns, and ecology throughout their range.
","language":"English","publisher":"American Society of Ichthyologists and Herpetologists","doi":"10.1643/i2024026","usgsCitation":"Murphy, C.A., Cortes, A., Pollock, A.M., Gerth, W.J., Arismendi, I., and Konstantinidis, P., 2025, First documentation of pelagic larvae of Prickly Sculpin Cottus asper in Willamette Basin reservoirs using a novel light trapping method: Ichthyology & Herpetology, v. 113, no. 1, p. 84-93, https://doi.org/10.1643/i2024026.","productDescription":"10 p.","startPage":"84","endPage":"93","ipdsId":"IP-156602","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":496390,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1643/i2024026","text":"Publisher Index Page"},{"id":493719,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Lookout Point Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.75350388053226,\n 43.92971440229769\n ],\n [\n -122.7415087716965,\n 43.887190288238855\n ],\n [\n -122.66395899829298,\n 43.84427016341337\n ],\n [\n -122.6002175478517,\n 43.81357922808185\n ],\n [\n -122.58780400498678,\n 43.817505597070806\n ],\n [\n -122.63299488013577,\n 43.866597918811124\n ],\n [\n -122.75350388053226,\n 43.92971440229769\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"113","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-03-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Murphy, Christina Amy 0000-0002-3467-6610","orcid":"https://orcid.org/0000-0002-3467-6610","contributorId":335232,"corporation":false,"usgs":true,"family":"Murphy","given":"Christina","email":"","middleInitial":"Amy","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":945059,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cortes, Alvaro","contributorId":359217,"corporation":false,"usgs":false,"family":"Cortes","given":"Alvaro","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":945060,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pollock, Amanda M.M.","contributorId":359218,"corporation":false,"usgs":false,"family":"Pollock","given":"Amanda","middleInitial":"M.M.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":945061,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gerth, William J.","contributorId":359219,"corporation":false,"usgs":false,"family":"Gerth","given":"William","middleInitial":"J.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":945062,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Arismendi, Ivan","contributorId":359221,"corporation":false,"usgs":false,"family":"Arismendi","given":"Ivan","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":945063,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Konstantinidis, Peter","contributorId":359224,"corporation":false,"usgs":false,"family":"Konstantinidis","given":"Peter","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":945064,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70264110,"text":"70264110 - 2025 - Letter to Editor regarding “Potential impact of the 2023 Lahaina wildfire on the marine environment: Modeling the transport of ash-laden benzo[a]pyrene and pentachlorophenol” by Downs et al. (2024) https://doi.org/10.1016/j.scitotenv.2024.176346","interactions":[],"lastModifiedDate":"2025-03-07T14:06:47.659517","indexId":"70264110","displayToPublicDate":"2025-03-05T10:05:06","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Letter to Editor regarding “Potential impact of the 2023 Lahaina wildfire on the marine environment: Modeling the transport of ash-laden benzo[a]pyrene and pentachlorophenol” by Downs et al. (2024) https://doi.org/10.1016/j.scitotenv.2024.176346","docAbstract":"No abstract available.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2025.178965","usgsCitation":"Storlazzi, C.D., Takesue, R.K., and Hendrix, A., 2025, Letter to Editor regarding “Potential impact of the 2023 Lahaina wildfire on the marine environment: Modeling the transport of ash-laden benzo[a]pyrene and pentachlorophenol” by Downs et al. (2024) https://doi.org/10.1016/j.scitotenv.2024.176346: Science of the Total Environment, v. 970, 178965, 3 p., https://doi.org/10.1016/j.scitotenv.2025.178965.","productDescription":"178965, 3 p.","ipdsId":"IP-172655","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":482976,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"970","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":929835,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Takesue, Renee K. 0000-0003-1205-0825 rtakesue@usgs.gov","orcid":"https://orcid.org/0000-0003-1205-0825","contributorId":2159,"corporation":false,"usgs":true,"family":"Takesue","given":"Renee","email":"rtakesue@usgs.gov","middleInitial":"K.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":929836,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hendrix, Alicia 0000-0003-3897-1788","orcid":"https://orcid.org/0000-0003-3897-1788","contributorId":351988,"corporation":false,"usgs":false,"family":"Hendrix","given":"Alicia","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":929837,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70265643,"text":"70265643 - 2025 - A wetland for all seasons? Evaluating congruence in avian species richness and habitat associations within restored wetlands across the annual cycle","interactions":[],"lastModifiedDate":"2025-04-14T15:10:54.100596","indexId":"70265643","displayToPublicDate":"2025-03-05T10:04:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"A wetland for all seasons? Evaluating congruence in avian species richness and habitat associations within restored wetlands across the annual cycle","docAbstract":"Wetland restoration on agricultural land to enhance wildlife habitat through the Wetland Reserve Easement (WRE) program has substantially increased wetland area within the Lower Mississippi Alluvial Valley (LMAV). Studies assessing avian response to wetland restoration often focus on specific communities during one season such as passerines in spring or waterfowl during winter. However, there is limited information on the extent to which restored wetlands provide habitat for distinct avian communities across the annual cycle. Our objectives were to quantify the extent to which avian species richness within a wetland was congruent across seasons and evaluate site covariates associated with avian use of WREs in the LMAV across multiple seasons. We calculated avian species richness in autumn, winter, and spring at 34 WREs across the LMAV in Kentucky and Tennessee during 2019–2021. We surveyed vegetation communities to evaluate site covariates that explained variation in avian species richness across sites. Avian species richness within a site was positively correlated between autumn and spring, but neither season was correlated with winter. No single covariate explained variation in avian richness across seasons but tree diameter was positively associated with avian species richness in both winter and spring. The presence of four distinct vegetation types (remnant forest, planted forest, natural regeneration forest, and herbaceous wetlands) was positively associated with avian species richness in winter. Our results indicate avian community response to site conditions varies across seasons and can inform future wetland restoration planning in the LMAV to provide habitat across the annual cycle.
","language":"English","publisher":"Springer","doi":"10.1007/s13157-024-01869-6","usgsCitation":"Podoliak, J., Webb, E.B., and Hicks, D., 2025, A wetland for all seasons? Evaluating congruence in avian species richness and habitat associations within restored wetlands across the annual cycle: Wetlands, v. 45, 30, 15 p., https://doi.org/10.1007/s13157-024-01869-6.","productDescription":"30, 15 p.","ipdsId":"IP-160805","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":484499,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kentucky, Tennessee","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.05271014995013,\n 37.56907601957383\n ],\n [\n -89.2461638442621,\n 36.99968696406451\n ],\n [\n -90.0220790993392,\n 35.062924163396815\n ],\n [\n -88.22347509705149,\n 35.10804479542381\n ],\n [\n -88.05271014995013,\n 37.56907601957383\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"45","noUsgsAuthors":false,"publicationDate":"2025-03-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Podoliak, J.","contributorId":353208,"corporation":false,"usgs":false,"family":"Podoliak","given":"J.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":933162,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":933163,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hicks, D.","contributorId":353211,"corporation":false,"usgs":false,"family":"Hicks","given":"D.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":933164,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70264164,"text":"70264164 - 2025 - Measuring polar bear health using allostatic load","interactions":[],"lastModifiedDate":"2025-03-07T15:33:46.235667","indexId":"70264164","displayToPublicDate":"2025-03-05T09:30:57","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3919,"text":"Conservation Physiology","onlineIssn":"2051-1434","active":true,"publicationSubtype":{"id":10}},"title":"Measuring polar bear health using allostatic load","docAbstract":"The southern Beaufort Sea polar bear sub-population (Ursus maritimus) has been adversely affected by climate change and loss of sea ice habitat. Even though the sub-population is likely decreasing, it remains difficult to link individual polar bear health and physiological change to sub-population effects. We developed an index of allostatic load, which represents potential physiological dysregulation. The allostatic load index included blood- and hair-based analytes measured in physically captured southern Beaufort bears in spring. We examined allostatic load in relation to bear body condition, age, terrestrial habitat use and, over time, for bear demographic groups. Overall, allostatic load had no relationship with body condition. However, allostatic load was higher in adult females without cubs that used terrestrial habitats the prior year, indicating potential physiological dysregulation with land use. Allostatic load declined with age in adult females without cubs. Sub-adult males demonstrated decreased allostatic load over time. Our study is one of the first attempts to develop a health scoring system for free-ranging polar bears, and our findings highlight the complexity of using allostatic load as an index of health in a wild species. Establishing links between individual bear health and population dynamics is important for advancing conservation efforts.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/conphys/coaf013","usgsCitation":"Teman, S., Atwood, T.C., Converse, S.J., Fry, T., and Laidre, K.L., 2025, Measuring polar bear health using allostatic load: Conservation Physiology, v. 13, no. 1, coaf013, 14 p., https://doi.org/10.1093/conphys/coaf013.","productDescription":"coaf013, 14 p.","ipdsId":"IP-170326","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":487727,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/conphys/coaf013","text":"Publisher Index Page"},{"id":483055,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Beaufort Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -156.59695705634383,\n 74.06388252003191\n ],\n [\n -156.59695705634383,\n 69.28231129261928\n ],\n [\n -140.99324520225554,\n 69.28231129261928\n ],\n [\n -140.99324520225554,\n 74.06388252003191\n ],\n [\n -156.59695705634383,\n 74.06388252003191\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"13","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-03-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Teman, Sarah J.","contributorId":352066,"corporation":false,"usgs":false,"family":"Teman","given":"Sarah","middleInitial":"J.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":929976,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":929977,"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":929978,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fry, Tricia","contributorId":222310,"corporation":false,"usgs":false,"family":"Fry","given":"Tricia","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":929979,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Laidre, Kristin L.","contributorId":191798,"corporation":false,"usgs":false,"family":"Laidre","given":"Kristin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":929980,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70266324,"text":"70266324 - 2025 - Why the whole is greater than the sum of its parts: A case for population-level management","interactions":[],"lastModifiedDate":"2025-05-05T14:27:38.788081","indexId":"70266324","displayToPublicDate":"2025-03-05T09:26:18","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"title":"Why the whole is greater than the sum of its parts: A case for population-level management","docAbstract":"Catch-and-release regulations in recreational fisheries have been implemented for decades with the intention of allowing fishing while reducing fishing mortality. In addition, voluntary catch-and-release behaviors are increasingly common. Social and scientific interest in fish handling practices in catch-and-release fisheries as they relate to stress, reflex impairment, reproductive success, and mortality has been expanding. The scientific literature is now replete with studies that examine these issues, and they have become a fixture in the public discourse on angling. Scientists and anglers are making fishing regulation proposals and suggestions for fish-handling practices. The proximal intent of these recommendations is to reduce excessive stress or mortality on a per capita basis with a belief that the reduction ultimately has a positive effect on the population. Whether the proximal intent achieves population goals depends on several factors, including effort, population dynamic rates, and stock-recruitment dynamics. This perspective reviews the state of the science relative to a hierarchical framework of fishery population dynamics, with a call for fishery scientists to consider their scope of inference and assumptions relative to conservation and population management.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/fshmag/vuae022","usgsCitation":"Corsi, M., Quist, M.C., Kozfkay, J., Roth, C., and Schill, D., 2025, Why the whole is greater than the sum of its parts: A case for population-level management, v. 50, no. 4, p. 164-171, https://doi.org/10.1093/fshmag/vuae022.","productDescription":"8 p.","startPage":"164","endPage":"171","ipdsId":"IP-166547","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":496381,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/fshmag/vuae022","text":"Publisher Index Page"},{"id":485374,"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":171811,"corporation":false,"usgs":false,"family":"Corsi","given":"Matthew P.","affiliations":[],"preferred":false,"id":935606,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":935607,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":935608,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roth, Curtis J.","contributorId":274497,"corporation":false,"usgs":false,"family":"Roth","given":"Curtis J.","affiliations":[{"id":56023,"text":"idfg","active":true,"usgs":false}],"preferred":false,"id":935609,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schill, Daniel J.","contributorId":288577,"corporation":false,"usgs":false,"family":"Schill","given":"Daniel J.","affiliations":[{"id":61802,"text":"Fisheries Management Solutions","active":true,"usgs":false}],"preferred":false,"id":935610,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70264020,"text":"sir20235064E - 2025 - Peak streamflow trends in Minnesota and their relation to changes in climate, water years 1921–2020","interactions":[{"subject":{"id":70264020,"text":"sir20235064E - 2025 - Peak streamflow trends in Minnesota and their relation to changes in climate, water years 1921–2020","indexId":"sir20235064E","publicationYear":"2025","noYear":false,"chapter":"E","displayTitle":"Peak Streamflow Trends in Minnesota and Their Relation to Changes in Climate, Water Years 1921–2020","title":"Peak streamflow trends in Minnesota and their relation to changes in climate, water years 1921–2020"},"predicate":"IS_PART_OF","object":{"id":70251152,"text":"sir20235064 - 2024 - Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","indexId":"sir20235064","publicationYear":"2024","noYear":false,"title":"Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin"},"id":1}],"isPartOf":{"id":70251152,"text":"sir20235064 - 2024 - Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin","indexId":"sir20235064","publicationYear":"2024","noYear":false,"title":"Peak streamflow trends and their relation to changes in climate in Illinois, Iowa, Michigan, Minnesota, Missouri, Montana, North Dakota, South Dakota, and Wisconsin"},"lastModifiedDate":"2025-07-21T18:36:06.830058","indexId":"sir20235064E","displayToPublicDate":"2025-03-04T14:51:20","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5064","chapter":"E","displayTitle":"Peak Streamflow Trends in Minnesota and Their Relation to Changes in Climate, Water Years 1921–2020","title":"Peak streamflow trends in Minnesota and their relation to changes in climate, water years 1921–2020","docAbstract":"This report chapter summarizes the effect of hydroclimatic variability of annual peak streamflow in Minnesota and is part of a larger U.S. Geological Survey multistate study to assess potential nonstationarity in annual peak streamflows across the Midwest. Spatial and temporal patterns were examined for nonstationarity in annual peak streamflow, daily mean streamflow, and modeled climatic data in four analysis periods: (1) a 100-year period, 1921–2020; (2) a 75-year period, 1946–2020; (3) a 50-year period, 1971–2020; and (4) a 30-year period, 1991–2020. Upward trends in annual peak streamflow were detected in northwest to southeast and north to south directions. Downward trends in annual peak streamflow were detected in northeastern and southeastern areas. Trends in peak-flow timing indicated that peak streamflows are being detected later in the water year (the period from October 1 to September 30 designated by the year in which it ends) mainly in the southern areas and earlier in the water year mainly in the northern areas.
Changes in climate data point to wetter conditions in southern areas and drier conditions in northern areas. Annual precipitation was determined to be increasing in a northwest to southeast direction and in the east. In contrast, some areas in the north and northwest indicated decreasing annual precipitation. Annual snowfall was determined to be decreasing except in the extreme northeast, where annual snowfall was determined to be increasing. Decreases in annual potential evapotranspiration were detected in the south, and increases were detected in the north. Annual soil moisture increased in southern areas and decreased in northern and eastern areas. The potential spatial and temporal nonstationarity violations detected in the four analysis periods have important implications for flood-frequency analysis and point to the need for guidance on how to incorporate nonstationarities into future flood-frequency analysis in Minnesota.
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\"}}]}","contact":"Director, Dakota Water Science Center
U.S. Geological Survey
821 East Interstate Avenue, Bismarck, ND 58503
1608 Mountain View Road, Rapid City, SD 57702
Standardized guidelines for completing flood-flow frequency analyses are presented in a U.S. Geological Survey Techniques and Methods report known as Bulletin 17C, https://doi.org/10.3133/tm4B5. In recent decades (since about 2000), a better understanding of long-term climatic persistence (periods of clustered floods or droughts, or wet or dry periods) and concerns about potential climate change and land-use change have caused a reexamination of the stationarity assumptions underlying methods in Bulletin 17C. Bulletin 17C does not offer guidance on incorporating nonstationarities and further identifies a need for flood-frequency studies that incorporate changing climate or basin characteristics. As part of that reexamination, a study of annual peak streamflow (peak flow) has begun in the Midwest. This chapter of the study summarizes how hydroclimatic variability affects peak flows in North Dakota.
In this analysis of peak flow, daily streamflow, and climate metrics, four periods were selected: (1) a 100-year period, 1921–2020; (2) a 75-year period, 1946–2020; (3) a 50-year period, 1971–2020; and (4) a 30-year period, 1991–2020. Output from a monthly water-balance model was used for the climate data. Statistical analysis of peak flow consisted of evaluations of autocorrelation, trends, and change points and was augmented with analyses of seasonality and daily streamflow. The long-term pattern of decreasing peak flow in the west and increasing peak flow in the east is a pattern of opposing signals on either side of the 100th meridian. Analyses indicate that a key factor in changing hydroclimatology is the increase in fall precipitation. The trends in soil moisture closely match the trends in annual precipitation. Nonstationary flood-frequency analysis necessitates detailed exploratory data analysis and additional data and information about climate, land use, and other factors. This study provides extensive exploratory analysis for peak flow, daily streamflow, and climate data for North Dakota, setting the stage for informed nonstationary flood-frequency analysis.
Director, Dakota Water Science Center
U.S. Geological Survey
821 East Interstate Avenue, Bismarck, ND 58503
1608 Mountain View Road, Rapid City, SD 57702
Groundwater delivery of greenhouse gases (GHGs) to stream banks and riparian areas, before mixing with surface waters, has not been well quantified. We measured preferential groundwater delivery of GHGs to stream banks within three stream reaches, and found that stream banks with discharging groundwater emitted more CO2 and were sources of N2O compared to stream banks without actively discharging groundwater, which emitted less CO2 and were N2O sinks. At one of our stream reaches, groundwater CO2 and N2O concentrations were 1.4–19.2 and 1.1–40.6 times higher than those in surface water, respectively, and groundwater delivery rates of CO2 and N2O were 1.5 and 1.6 times higher than surface water emissions per unit area. On average, 21% (range 0%–100%) of CO2 and N2O were emitted at the stream bank before mixing with surface waters. Preferential groundwater GHG emissions may contribute substantially to stream corridor emissions and may be underestimated when using a channel-centric approach to estimate riverine GHG budgets.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JG008395","usgsCitation":"Bisson, A., Liu, F., Moore, E.M., Briggs, M., and Helton, A.M., 2025, Preferential groundwater discharges along stream corridors are disregarded sources of greenhouse gases: JGR Biogeosciences, v. 130, no. 3, e2024JG008395, 17 p., https://doi.org/10.1029/2024JG008395.","productDescription":"e2024JG008395, 17 p.","ipdsId":"IP-163066","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":496384,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024jg008395","text":"Publisher Index Page"},{"id":483477,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"130","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-03-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Bisson, A.M.","contributorId":348580,"corporation":false,"usgs":false,"family":"Bisson","given":"A.M.","affiliations":[{"id":16811,"text":"Harvard University","active":true,"usgs":false}],"preferred":false,"id":931011,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, F.","contributorId":289348,"corporation":false,"usgs":false,"family":"Liu","given":"F.","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":931012,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moore, Eric M. 0000-0002-2479-2677","orcid":"https://orcid.org/0000-0002-2479-2677","contributorId":332922,"corporation":false,"usgs":false,"family":"Moore","given":"Eric","email":"","middleInitial":"M.","affiliations":[{"id":79689,"text":"University of Connecticut, Department Natural Resources and the Environment","active":true,"usgs":false}],"preferred":false,"id":931013,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Briggs, Martin A. 0000-0003-3206-4132","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":222759,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":931014,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Helton, A. M.","contributorId":93289,"corporation":false,"usgs":false,"family":"Helton","given":"A.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":931015,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70264587,"text":"70264587 - 2025 - Overview of North American isolates of chronic wasting disease used for strain research","interactions":[],"lastModifiedDate":"2025-03-17T14:34:47.445679","indexId":"70264587","displayToPublicDate":"2025-03-04T09:32:06","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9113,"text":"Pathogens","active":true,"publicationSubtype":{"id":10}},"title":"Overview of North American isolates of chronic wasting disease used for strain research","docAbstract":"Chronic Wasting Disease (CWD) is a prion disease that affects Cervidae species, and is the only known prion disease transmitted among wildlife species. The key pathological feature is the conversion of the normal prion protein (PrPC) misfolding into abnormal forms (PrPSc), triggering the onset of CWD infections. The misfolding can generate distinct PrPSc conformations (strains) giving rise to diverse disease phenotypes encompassing pathology, incubation period, and clinical signs. These phenotypes operationally define distinct prion strains, a pivotal element in monitoring CWD spread and zoonotic potential—a complex endeavor compounded by defining and tracking CWD strains. This review pursues a tripartite objective: 1. to address the intricate challenges inherent in ongoing CWD strain classification; 2. to provide an overview of the known CWD-infected isolates, the strains they represent and their passage history; and 3. to describe the spatial diversity of CWD strains in North America, enriching our understanding of CWD strain dynamics. By delving into these dimensions, this review sheds light on the intricate interplay among polymorphisms, biochemical properties, and clinical expressions of CWD. This endeavor aims to elevate the trajectory of CWD research, advancing our insight into prion disease.
","language":"English","publisher":"MDPI","doi":"10.3390/pathogens14030250","usgsCitation":"Walter, W., Herbst, A.J., Lue, C., Bartz, J.C., and Hopkins, M., 2025, Overview of North American isolates of chronic wasting disease used for strain research: Pathogens, v. 14, no. 3, 250, 18 p., https://doi.org/10.3390/pathogens14030250.","productDescription":"250, 18 p.","ipdsId":"IP-174878","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":488317,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/pathogens14030250","text":"Publisher Index Page"},{"id":483448,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-03-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Walter, W. David 0000-0003-3068-1073","orcid":"https://orcid.org/0000-0003-3068-1073","contributorId":219540,"corporation":false,"usgs":true,"family":"Walter","given":"W. David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":930827,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herbst, Allen Jeffrey 0000-0001-6601-1245","orcid":"https://orcid.org/0000-0001-6601-1245","contributorId":290651,"corporation":false,"usgs":true,"family":"Herbst","given":"Allen","email":"","middleInitial":"Jeffrey","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":930828,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lue, Chia-Hua","contributorId":352334,"corporation":false,"usgs":false,"family":"Lue","given":"Chia-Hua","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":930829,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bartz, Jason C.","contributorId":343037,"corporation":false,"usgs":false,"family":"Bartz","given":"Jason","email":"","middleInitial":"C.","affiliations":[{"id":40171,"text":"Creighton University","active":true,"usgs":false}],"preferred":false,"id":930830,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hopkins, M. Camille 0000-0003-1465-6038","orcid":"https://orcid.org/0000-0003-1465-6038","contributorId":219531,"corporation":false,"usgs":true,"family":"Hopkins","given":"M. Camille","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":930831,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70264091,"text":"70264091 - 2025 - Interoperability for ecosystem service assessments: Why, how, who, and for whom?","interactions":[],"lastModifiedDate":"2025-03-06T15:32:13.100946","indexId":"70264091","displayToPublicDate":"2025-03-04T09:27:16","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1477,"text":"Ecosystem Services","active":true,"publicationSubtype":{"id":10}},"title":"Interoperability for ecosystem service assessments: Why, how, who, and for whom?","docAbstract":"Despite continued, rapid growth in the literature, the fragmentation of information is a major barrier to more timely and credible ecosystem services (ES) assessments. A major reason for this fragmentation is the currently limited state of interoperability of ES data, models, and software. The FAIR Principles, a recent reformulation of long-standing open science goals, highlight the importance of making scientific knowledge Findable, Accessible, Interoperable, and Reusable. Critically, FAIR aims to make science more transparent and transferable by both people and computers. However, it is easier to make data and models findable and accessible through data and code repositories than to achieve interoperability and reusability. Achieving interoperability will require more consistent adherence to current technical best practices and, more critically, to build consensus about and consistently use semantics that can represent ES-relevant phenomena. Building on recent examples from major international initiatives for ES (IPBES, SEEA, GEO BON), we illustrate strategies to address interoperability, discuss their importance, and describe potential gains for individual researchers and practitioners and the field of ES. Although interoperability comes with many challenges, including greater scientific coordination than today’s status quo, it is technically achievable and offers potentially transformative advantages to ES assessments needed to mainstream their use by decision makers. Individuals and organizations active in ES research and practice can play critical roles in creating widespread interoperability and reusability of ES science. A representative community of practice targeting interoperability for ES would help advance these goals.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoser.2025.101705","usgsCitation":"Bagstad, K.J., Balbi, S., Adamo, G., Athanasiadis, I., Affinito, F., Willcock, S., Magrach, A., Hayashi, K., Harmackova, Z., Niamir, A., Smets, B., Buchhorn, M., Drakou, E., Alfieri, A., Edens, B., Gonzalez Morales, L., Vari, A., Sanz, M., and Villa, F., 2025, Interoperability for ecosystem service assessments: Why, how, who, and for whom?: Ecosystem Services, v. 72, 101705, 19 p., https://doi.org/10.1016/j.ecoser.2025.101705.","productDescription":"101705, 19 p.","ipdsId":"IP-165917","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":489979,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoser.2025.101705","text":"Publisher Index 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Change","active":true,"usgs":false}],"preferred":false,"id":929726,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adamo, Greta","contributorId":351894,"corporation":false,"usgs":false,"family":"Adamo","given":"Greta","affiliations":[{"id":32916,"text":"Basque Centre for Climate Change","active":true,"usgs":false}],"preferred":false,"id":929727,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Athanasiadis, Ioannis 0000-0003-2764-0078","orcid":"https://orcid.org/0000-0003-2764-0078","contributorId":208484,"corporation":false,"usgs":false,"family":"Athanasiadis","given":"Ioannis","email":"","affiliations":[{"id":37803,"text":"Wageningen University","active":true,"usgs":false}],"preferred":false,"id":929728,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Affinito, Flavio","contributorId":351896,"corporation":false,"usgs":false,"family":"Affinito","given":"Flavio","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":929729,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Willcock, Simon 0000-0001-9534-9114","orcid":"https://orcid.org/0000-0001-9534-9114","contributorId":201576,"corporation":false,"usgs":false,"family":"Willcock","given":"Simon","email":"","affiliations":[{"id":36207,"text":"Bangor University","active":true,"usgs":false}],"preferred":false,"id":929730,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Magrach, Ainhoa 0000-0003-2155-7556","orcid":"https://orcid.org/0000-0003-2155-7556","contributorId":208482,"corporation":false,"usgs":false,"family":"Magrach","given":"Ainhoa","email":"","affiliations":[{"id":32916,"text":"Basque Centre for Climate Change","active":true,"usgs":false}],"preferred":false,"id":929731,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hayashi, Kiichiro","contributorId":351898,"corporation":false,"usgs":false,"family":"Hayashi","given":"Kiichiro","affiliations":[{"id":27745,"text":"Nagoya University","active":true,"usgs":false}],"preferred":false,"id":929732,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Harmackova, Zuzana","contributorId":351900,"corporation":false,"usgs":false,"family":"Harmackova","given":"Zuzana","affiliations":[{"id":17790,"text":"Czech Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":929733,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Niamir, Aidin","contributorId":205107,"corporation":false,"usgs":false,"family":"Niamir","given":"Aidin","email":"","affiliations":[],"preferred":false,"id":929734,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Smets, Bruno","contributorId":351902,"corporation":false,"usgs":false,"family":"Smets","given":"Bruno","affiliations":[{"id":84069,"text":"VITO","active":true,"usgs":false}],"preferred":false,"id":929735,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Buchhorn, Marcel","contributorId":351903,"corporation":false,"usgs":false,"family":"Buchhorn","given":"Marcel","affiliations":[{"id":84069,"text":"VITO","active":true,"usgs":false}],"preferred":false,"id":929736,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Drakou, Evangelia","contributorId":351904,"corporation":false,"usgs":false,"family":"Drakou","given":"Evangelia","affiliations":[{"id":56097,"text":"Harokopio University of Athens","active":true,"usgs":false}],"preferred":false,"id":929737,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Alfieri, Alessandra","contributorId":351905,"corporation":false,"usgs":false,"family":"Alfieri","given":"Alessandra","affiliations":[{"id":84071,"text":"International Monetary Fund","active":true,"usgs":false}],"preferred":false,"id":929738,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Edens, Bram","contributorId":176850,"corporation":false,"usgs":false,"family":"Edens","given":"Bram","email":"","affiliations":[],"preferred":false,"id":929739,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Gonzalez Morales, Luis","contributorId":351906,"corporation":false,"usgs":false,"family":"Gonzalez Morales","given":"Luis","affiliations":[{"id":84072,"text":"U.N. Statistics Division","active":true,"usgs":false}],"preferred":false,"id":929740,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Vari, Agnes","contributorId":351907,"corporation":false,"usgs":false,"family":"Vari","given":"Agnes","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":929741,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Sanz, Maria-Jose","contributorId":351908,"corporation":false,"usgs":false,"family":"Sanz","given":"Maria-Jose","affiliations":[{"id":32916,"text":"Basque Centre for Climate Change","active":true,"usgs":false}],"preferred":false,"id":929742,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Villa, Ferdinando 0000-0002-5114-3007","orcid":"https://orcid.org/0000-0002-5114-3007","contributorId":208486,"corporation":false,"usgs":false,"family":"Villa","given":"Ferdinando","email":"","affiliations":[{"id":32916,"text":"Basque Centre for Climate Change","active":true,"usgs":false}],"preferred":false,"id":929743,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70264131,"text":"70264131 - 2025 - Partial diel vertical migration and niche partitioning in Mysis revealed by stable isotopes","interactions":[],"lastModifiedDate":"2025-05-28T14:51:03.204045","indexId":"70264131","displayToPublicDate":"2025-03-04T09:07:22","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Partial diel vertical migration and niche partitioning in Mysis revealed by stable isotopes","title":"Partial diel vertical migration and niche partitioning in Mysis revealed by stable isotopes","docAbstract":"Diel vertical migration (DVM) is critical for moving energy and nutrients between surface and deep waters. Mysis sp. (Crustacea: Mysidae) facilitates this process by serving as predator and prey in both benthic and pelagic habitats. Mysis can also exhibit partial DVM (pDVM), where some individuals do not migrate into the pelagia at night or to the benthos during the day. However, whether Mysis pDVM is a fixed (i.e., same individuals migrate) or random (i.e., random individuals migrate) behavior remains unclear. To evaluate that, we tested whether Mysis exhibit pDVM and niche partitioning in Lake Superior by collecting Mysis from benthic and pelagic habitats day and night across depths ranging from 50 to 250 m and estimating their isotopic niche size (δ13C, δ15N; Corrected Standard Ellipse Area − SEAc) and overlap among three life stages. At the population level, Mysis exhibited fixed pDVM structured by life stage. Benthic Mysis (12.9 ± 3.2 mm, mean ± SD) were larger than pelagic Mysis during night (9.6 ± 3.6 mm) and day (8.5 ± 3.6 mm). Adult Mysis (> 15 mm) had larger SEAc (1.8 ± 0.4 ‰2) compared to juveniles (< 10 mm; 0.3 ± 0.1 ‰2) and sub-adults (10–15 mm; 0.7 ± 0.2 ‰2), and their isotopic niche did not overlap with smaller life stages. Adults exhibited random pDVM (i.e., high isotopic niche overlap), whereas juveniles exhibited fixed pDVM (i.e., low overlap). Our observations indicate complex behaviors across and within Mysis life stages, likely due to varying pressures including size-selective predation, light and temperature thresholds, and nutritional requirements. Consequently, the benthic behavior of adult Mysis needs to be considered in monitoring programs.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2025.102549","usgsCitation":"Possamai, B., Chapina, R.J., Yule, D.L., and Stockwell, J.D., 2025, Partial diel vertical migration and niche partitioning in Mysis revealed by stable isotopes: Journal of Great Lakes Research, v. 51, no. 3, 102549, 13 p., https://doi.org/10.1016/j.jglr.2025.102549.","productDescription":"102549, 13 p.","ipdsId":"IP-164546","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":488470,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2025.102549","text":"Publisher Index Page"},{"id":483049,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, Wisconsin","otherGeospatial":"Lake Superior","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -90.18454996485123,\n 47.29999424679383\n ],\n [\n -92.2372794933763,\n 47.29999424679383\n ],\n [\n -92.2372794933763,\n 46.59937058688308\n ],\n [\n -90.18454996485123,\n 46.59937058688308\n ],\n [\n -90.18454996485123,\n 47.29999424679383\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"51","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Possamai, Bianca","contributorId":352019,"corporation":false,"usgs":false,"family":"Possamai","given":"Bianca","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":929917,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chapina, Rosaura J.","contributorId":342066,"corporation":false,"usgs":false,"family":"Chapina","given":"Rosaura","email":"","middleInitial":"J.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":929918,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yule, Daniel L. 0000-0002-0117-5115","orcid":"https://orcid.org/0000-0002-0117-5115","contributorId":248693,"corporation":false,"usgs":true,"family":"Yule","given":"Daniel","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":929919,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stockwell, Jason D. 0000-0003-3393-6799","orcid":"https://orcid.org/0000-0003-3393-6799","contributorId":61004,"corporation":false,"usgs":false,"family":"Stockwell","given":"Jason","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":929920,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70265485,"text":"70265485 - 2025 - How to model a new invader? US-invaded range models outperform global or combined range models after 100 occurrences","interactions":[],"lastModifiedDate":"2025-04-08T15:00:25.716606","indexId":"70265485","displayToPublicDate":"2025-03-04T07:53:59","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"How to model a new invader? US-invaded range models outperform global or combined range models after 100 occurrences","docAbstract":"Invasive species are an economic and ecological burden, and efforts to limit their impact are greatly improved with reliable maps based on species distribution models (SDMs). However, the potential distribution of new invaders is difficult to anticipate because they are still spreading with few observations in their invaded habitat. Therefore, an accepted practice in predicting the distribution of invasive species has been to incorporate habitat information from its entire geographic distribution (invaded and native ranges) into SDMs. Yet, this approach, due to niche shifts, niche expansions, and data deficiencies, commonly misrepresents where an invasive species is found in its new range. Here, we use time series records (invasion stages) from 13 invasive plant species in North America to explore the tension between modeling invasive species using global range and invaded range data and to determine if there is a “tipping point” at which one SDM strategy performs better than the other in predicting the ultimate distribution. At the earliest invasion stage, models developed using both invaded range and global occurrences on average performed better and had less variability across species than other model strategies at this stage. However, after as few as 100 observations of an invasive plant had been made, US-invaded range models, on average, outperformed global range models and models that combined occurrences. By building models with global and US-scale predictors, we show that higher performance of invaded range models was in part because of greater data quality at the invaded-range scale. Our work demonstrates that after relatively few observations of an invasive species in its invaded range, it is more accurate to model its potential distribution using only information from the invaded range while disregarding information from other regions. This work develops a robust and comprehensive approach to modeling novel distributions of newly observed invasive species.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.70010","usgsCitation":"Young, N.E., Williams, D.A., Shadwell, K.S., Pearse, I., and Jarnevich, C.S., 2025, How to model a new invader? 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0000-0001-6835-425X","orcid":"https://orcid.org/0000-0001-6835-425X","contributorId":332473,"corporation":false,"usgs":false,"family":"Shadwell","given":"Keana","email":"","middleInitial":"S.","affiliations":[{"id":79471,"text":"Student contractor to the U.S. Geological Survey, Fort Collins Science Center","active":true,"usgs":false}],"preferred":false,"id":932815,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearse, Ian S. 0000-0001-7098-0495","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":211154,"corporation":false,"usgs":true,"family":"Pearse","given":"Ian","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":932816,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":932817,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70263871,"text":"sir20245102 - 2025 - North American Waterfowl Management Plan survey regional profile—Southeast region","interactions":[],"lastModifiedDate":"2025-03-06T15:16:21.272937","indexId":"sir20245102","displayToPublicDate":"2025-03-03T11:40:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5102","displayTitle":"North American Waterfowl Management Plan Survey Regional Profile—Southeast Region","title":"North American Waterfowl Management Plan survey regional profile—Southeast region","docAbstract":"Gaining a better understanding of the human dimensions of waterfowl management to inform the North American Waterfowl Management Plan is a valuable but challenging goal for the future success of waterfowl management. Increasing engagement with key stakeholder groups will lead to more support and effective waterfowl management. Social systems are complex because individual values and preferences may vary across geographic and cultural dimensions, so it is valuable to describe those differences rather than only looking at national-scale trends. Therefore, using broad engagement strategies that do not consider the differences among regional groups may do more harm than good.
This study analyzed a subset of responses from waterfowl hunters (hereafter respondents) in the Southeast region of the United States from a national-scale survey (Patton, 2018). This study compared how respondents’ opinions differed among two subsections of the Atlantic and Mississippi flyways—the Atlantic subflyway and Mississippi subflyway—and responses from the national survey. Respondents in the Atlantic subflyway had a primary home ZIP Code in Florida, Georgia, North Carolina, South Carolina, and Tennessee. Respondents in the Mississippi subflyway had a primary home ZIP Code in Alabama, Arkansas, Kentucky, Louisiana, Missouri, and Mississippi. Investigating these differences provides waterfowl managers decision-making support and a better understanding of how perceptions may differ among respondents in the Southeast region and the Nation. Responses from each group are presented for each for each survey topic, and statistical tests of homogeneity are included to inform how the differences may be considered when managing for waterfowl and waterfowl hunting.
Respondents from the Mississippi and Atlantic subflyways did not differ substantially except in their perceptions and preferences of waterfowl harvest and harvest regulations. Respondents from the Mississippi subflyway consistently reported a higher average harvest of ducks and geese, emphasized the importance of higher harvest for their satisfaction with waterfowl hunting, and typically placed a greater emphasis on regulatory decisions that facilitated increased harvest opportunity than respondents from the Atlantic subflyway. This emphasis was especially true when preferring species-specific limits more than simpler aggregate limits. Respondents in the Mississippi subflyway were in direct opposition to respondents in the Atlantic subflyway and preferred the opportunity for increased harvest that species-specific bag limits provide.
Respondents in the Mississippi subflyway placed greater emphasis on harvest and larger bag limits compared with respondents in the Atlantic subflyway and the national survey. Respondents in the Atlantic subflyway often aligned with the national survey respondents’ perceptions of harvest that placed a lower emphasis on the number of ducks or geese harvested in comparison to Mississippi subflyway respondents. The Atlantic and Mississippi subflyway respondents reported hunting ducks and geese to a much lower degree than the national survey respondents, who favored only hunting ducks or hunting neither ducks nor geese. Similarly, respondents in the Mississippi and Atlantic subflyways reported that overcrowding, high hunting pressure, and interference from other respondents limited their participation to a higher degree than respondents from the national survey.
The trip-specific preferences for waterfowl hunting in the Southeast region were calculated using latent class analysis and three groups were determined based on individual estimates of attribute importance: generalist, seclusionist, and harvest oriented. The generalist group did not place a high degree of importance on any one attribute and was most likely to choose to not participate given suboptimal conditions. The seclusionist group placed a high degree of importance on lower levels of competition from other groups and felt their well-being was most affected by higher levels of competition. The harvest-oriented group placed a higher degree of importance on harvesting more than three birds and felt their well-being was most negatively affected if they only expected to harvest a single bird. These groups existed uniformly between the Mississippi and Atlantic subflyways, had a slightly higher membership of each group in rural areas, and an overall higher membership in the seclusionist group.
Subsetting national survey data to profile regional differences provides key information to waterfowl managers seeking to make tailored decisions in their region or flyway. This investigation provides an important resource for informed management decisions in the Southeast region and will assist waterfowl managers by supporting engagement and communication with respondents in the Southeastern United States.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20245102","collaboration":"Prepared in cooperation with U.S. Fish and Wildlife Service","programNote":"Species Management Research Program","usgsCitation":"Cole, N., and Fulton, D., 2025, North American Waterfowl Management Plan survey regional profile—Southeast region: U.S. Geological Survey Scientific Investigations Report 2024–5102, 38 p., https://doi.org/10.3133/sir20245102.","productDescription":"vii, 38 p.","onlineOnly":"Y","ipdsId":"IP-157127","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":482519,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5102/coverthb.jpg"},{"id":482520,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5102/sir20245102.pdf","text":"Report","size":"3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5102"},{"id":482742,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5102/images"},{"id":482743,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5102/sir20245102.xml"},{"id":482968,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245102/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5102"}],"contact":"Director, Fort Collins Science Center
U.S. Geological Survey
2150 Centre Ave., Bldg. C
Fort Collins, CO 80526-8118
Home Owners’ Loan Corporation (HOLC) maps illustrated patterns of segregation in United States cites in the 1930s. As the causes and drivers of demographic and land-use segregation vary over years, these maps provide an important spatial lens in determining how patterns of segregation spatially and temporally developed during the past century. Using a high-resolution land-use time series (1937-2018) of Denver, Colorado, USA, in conjunction with 80 years of U.S. Census data, we found divergent land-use and demographics patterns across HOLC categories were both pre-existent to the establishment of HOLC mapping and continued to develop over time. Over this period, areas deemed “declining” or “hazardous” had more diverse land use compared to “desirable” areas. “Desirable” areas were dominated by one land-use type (single-family residential), while single-family residential diminished in prominence in the “declining/hazardous” areas. This divergence became more established decades after HOLC mapping, with impact to racial metrics and low-income households. We found changes in these demographic patterns also occurred between 2000 and 2019, highlighting how processes like gentrification can develop from both rapid demographic and land-use changes. This study demonstrates how the legacy of urban segregation develops over decades and can simultaneously persist in some neighborhoods while providing openings for fast-paced gentrification in others.
","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0317988","usgsCitation":"Ibsen, P.C., Bierbrauer, A., Corro, L.M., Ancona, Z.H., Drummond, M., Bagstad, K.J., and Diffendorfer, J., 2025, Land-use and socioeconomic time-series reveal legacy of redlining on present-day gentrification within a growing United States city: PLoS ONE, v. 20, no. 3, e0317988, 21 p., https://doi.org/10.1371/journal.pone.0317988.","productDescription":"e0317988, 21 p.","ipdsId":"IP-150825","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":488485,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0317988","text":"Publisher Index Page"},{"id":484846,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Denver","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.24205378950955,\n 40.013754705471314\n ],\n [\n -105.24205378950955,\n 39.48193862459914\n ],\n [\n -104.69002801650613,\n 39.48193862459914\n ],\n [\n -104.69002801650613,\n 40.013754705471314\n ],\n [\n -105.24205378950955,\n 40.013754705471314\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"20","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-03-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Ibsen, Peter Christian 0000-0002-3436-9100","orcid":"https://orcid.org/0000-0002-3436-9100","contributorId":260735,"corporation":false,"usgs":true,"family":"Ibsen","given":"Peter","email":"","middleInitial":"Christian","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":934150,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bierbrauer, Anna","contributorId":353579,"corporation":false,"usgs":false,"family":"Bierbrauer","given":"Anna","affiliations":[{"id":84440,"text":"University of Wisconsin Madison, Department of Planning and Architecture","active":true,"usgs":false}],"preferred":false,"id":934151,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Corro, Lucila Marie 0000-0001-5718-6713","orcid":"https://orcid.org/0000-0001-5718-6713","contributorId":335192,"corporation":false,"usgs":true,"family":"Corro","given":"Lucila","email":"","middleInitial":"Marie","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":934152,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ancona, Zachary H. 0000-0001-5430-0218 zancona@usgs.gov","orcid":"https://orcid.org/0000-0001-5430-0218","contributorId":5578,"corporation":false,"usgs":true,"family":"Ancona","given":"Zachary","email":"zancona@usgs.gov","middleInitial":"H.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":934153,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Drummond, Mark","contributorId":335191,"corporation":false,"usgs":false,"family":"Drummond","given":"Mark","affiliations":[{"id":12545,"text":"USGS retired","active":true,"usgs":false}],"preferred":false,"id":934154,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":934155,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":934156,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70264047,"text":"70264047 - 2025 - Invasion of perennial sagebrush steppe by shallow-rooted exotic cheatgrass reduces stable forms of soil carbon in a warmer but not cooler ecoregion","interactions":[],"lastModifiedDate":"2025-03-05T17:03:14.019394","indexId":"70264047","displayToPublicDate":"2025-03-03T10:59:48","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10763,"text":"Environmental Research Communications","active":true,"publicationSubtype":{"id":10}},"title":"Invasion of perennial sagebrush steppe by shallow-rooted exotic cheatgrass reduces stable forms of soil carbon in a warmer but not cooler ecoregion","docAbstract":"Soil organic carbon ('SOC') in drylands comprises nearly a third of the global SOC pool and has relatively rapid turnover and thus is a key driver of variability in the global carbon cycle. SOC is also a sensitive indicator of longer-term directional change and disturbance-responses of ecosystem C storage. Biome-scale disruption of the dryland carbon cycle by exotic annual grass invasions (mainly Bromus tectorum, 'Cheatgrass') threatens carbon storage and corresponding benefits to soil hydrology and nutrient retention. Past studies on cheatgrass impacts mainly focused on total C, and of the few that evaluated SOC, none compared the very different fractions of SOC, such as relatively unstable particulate organic carbon (POC) or relatively stable, mineral-associated organic carbon (MAOC). We measured SOC and its POC and MAOC constituents in the surface soils of sites that had sagebrush canopies but differed in whether their understories had been invaded by cheatgrass or not, in both warm and relatively colder ecoregions of the western USA. MAOC stocks were 36.1% less in the 0–10 cm depth and 46.1% less in the 10–20 cm depth in the cheatgrass-invaded stands compared to the uninvaded stands of the warmer Colorado Plateau, but not in the cooler and more carbon-rich Wyoming Basin ecoregion. In plots where cheatgrass increased SOC, it was via unstable POC. These findings indicate that cheatgrass effects on the distribution of soil carbon among POC and MAOC fractions may vary among ecoregions, and that cheatgrass can reduce forms of carbon that are otherwise considered stable and 'secure', i.e. sequestered.
","language":"English","publisher":"IOP Science","doi":"10.1088/2515-7620/adb93f","usgsCitation":"Katz, S., Maxwell, T.M., de Graaff, M., and Germino, M., 2025, Invasion of perennial sagebrush steppe by shallow-rooted exotic cheatgrass reduces stable forms of soil carbon in a warmer but not cooler ecoregion: Environmental Research Communications, v. 7, no. 3, 031001, 9 p., https://doi.org/10.1088/2515-7620/adb93f.","productDescription":"031001, 9 p.","ipdsId":"IP-171618","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":487431,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/2515-7620/adb93f","text":"Publisher Index Page"},{"id":482914,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-03-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Katz, Sydney Maya 0000-0003-1682-1885","orcid":"https://orcid.org/0000-0003-1682-1885","contributorId":351089,"corporation":false,"usgs":true,"family":"Katz","given":"Sydney Maya","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":929593,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maxwell, Toby Matthew 0000-0001-5171-0705","orcid":"https://orcid.org/0000-0001-5171-0705","contributorId":334690,"corporation":false,"usgs":true,"family":"Maxwell","given":"Toby","email":"","middleInitial":"Matthew","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":929594,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"de Graaff, Marie-Anne","contributorId":195121,"corporation":false,"usgs":false,"family":"de Graaff","given":"Marie-Anne","email":"","affiliations":[],"preferred":false,"id":929595,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Germino, Matthew J. 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":251901,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":929596,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70264002,"text":"70264002 - 2025 - Estimating spatially explicit survival and mortality risk from telemetry data with thinned point process models","interactions":[],"lastModifiedDate":"2025-03-27T13:17:10.387768","indexId":"70264002","displayToPublicDate":"2025-03-03T09:34:55","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Estimating spatially explicit survival and mortality risk from telemetry data with thinned point process models","docAbstract":"Mortality risk for animals often varies spatially and can be linked to how animals use landscapes. While numerous studies collect telemetry data on animals, the focus is typically on the period when animals are alive, even though there is important information that could be gleaned about mortality risk. We introduce a thinned spatial point process (SPP) modelling framework that couples relative abundance and space use with a mortality process to formally treat the occurrence of mortality events across the landscape as a spatial process. We show how this model can be embedded in a hierarchical statistical framework and fit to telemetry data to make inferences about how spatial covariates drive both space use and mortality risk. We apply the method to two data sets to study the effects of roads and habitat on spatially explicit mortality risk: (1) VHF telemetry data collected for willow ptarmigan in Alaska, and (2) hourly GPS telemetry data collected for black bears in Colorado. These case studies demonstrate the applicability of this method for different species and data types, making it broadly useful in enabling inferences about the mechanisms influencing animal survival and spatial population processes while formally treating survival as a spatial process, especially as the development and implementation of joint analyses continue to progress.
","language":"English","publisher":"Wiley","doi":"10.1111/ele.70092","usgsCitation":"Eisaguirre, J.M., Lohman, M., Frye, G., Johnson, H.E., Riecke, T., and Williams, P.J., 2025, Estimating spatially explicit survival and mortality risk from telemetry data with thinned point process models: Ecology Letters, v. 28, no. 3, e70092, 11 p., https://doi.org/10.1111/ele.70092.","productDescription":"e70092, 11 p.","ipdsId":"IP-160909","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":496394,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ele.70092","text":"Publisher Index Page"},{"id":492795,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HSN8PV","text":"USGS data release","linkHelpText":"Thinned Point Process Models for Telemetry Data"},{"id":482801,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-03-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Eisaguirre, Joseph Michael 0000-0002-0450-8472","orcid":"https://orcid.org/0000-0002-0450-8472","contributorId":301980,"corporation":false,"usgs":true,"family":"Eisaguirre","given":"Joseph","email":"","middleInitial":"Michael","affiliations":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"preferred":true,"id":929454,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lohman, Medeleine G.","contributorId":351785,"corporation":false,"usgs":false,"family":"Lohman","given":"Medeleine G.","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":929455,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frye, Graham G.","contributorId":351786,"corporation":false,"usgs":false,"family":"Frye","given":"Graham G.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":929456,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Heather E. 0000-0001-5392-7676 hejohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-5392-7676","contributorId":205919,"corporation":false,"usgs":true,"family":"Johnson","given":"Heather","email":"hejohnson@usgs.gov","middleInitial":"E.","affiliations":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":929457,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Riecke, Thomas V.","contributorId":171482,"corporation":false,"usgs":false,"family":"Riecke","given":"Thomas V.","affiliations":[],"preferred":false,"id":929458,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Williams, Perry J.","contributorId":169058,"corporation":false,"usgs":false,"family":"Williams","given":"Perry","email":"","middleInitial":"J.","affiliations":[{"id":25400,"text":"U.S. Fish and Wildlife Service, Big Oaks National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":929459,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70263874,"text":"70263874 - 2025 - Under the Ice: Lake Whitefish and winter conditions in a Great Lake","interactions":[],"lastModifiedDate":"2025-03-13T14:40:01.411928","indexId":"70263874","displayToPublicDate":"2025-03-03T09:31:41","publicationYear":"2025","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"title":"Under the Ice: Lake Whitefish and winter conditions in a Great Lake","docAbstract":"No abstract available.
","language":"English","publisher":"University of Minnesota","usgsCitation":"Del Fiacco, J., and Hilling, C.D., 2025, Under the Ice: Lake Whitefish and winter conditions in a Great Lake, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-175838","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":483255,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://mwcasc.umn.edu/under-ice","linkFileType":{"id":5,"text":"html"}},{"id":483256,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Erie","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -78.90437674926393,\n 42.88573072124271\n ],\n [\n -79.52141499356523,\n 42.87769210959476\n ],\n [\n -80.22678399206747,\n 42.79281581499302\n ],\n [\n -80.51880625151767,\n 42.57814946253396\n ],\n [\n -81.02026663661093,\n 42.67543230196293\n ],\n [\n -81.30128454543694,\n 42.67543535756306\n ],\n [\n -81.53822853578485,\n 42.56596464399709\n ],\n [\n -81.9019334399238,\n 42.33014170165541\n ],\n [\n -81.95153424579222,\n 42.26492779780335\n ],\n [\n -82.12236039987853,\n 42.236375180224144\n ],\n [\n -82.45298532777961,\n 42.08524033767702\n ],\n [\n -82.5191058069868,\n 41.92964634487325\n ],\n [\n -82.61828632462084,\n 42.04024072452731\n ],\n [\n -82.91034362126736,\n 41.987015817617134\n ],\n [\n -83.11972864041921,\n 42.077062926530004\n ],\n [\n -83.10317152070901,\n 42.24453450962994\n ],\n [\n -83.29610139408294,\n 41.9419412108324\n ],\n [\n -83.3622121286252,\n 41.92964573816295\n ],\n [\n -83.51644448225035,\n 41.69555451568095\n ],\n [\n -82.9488535420495,\n 41.41103910261083\n ],\n [\n -82.71193183972241,\n 41.41929329585025\n ],\n [\n -82.47491670465367,\n 41.35733064230888\n ],\n [\n -81.99008606791249,\n 41.477110666960954\n ],\n [\n -81.70899983775189,\n 41.46067864477564\n ],\n [\n -81.25720217469238,\n 41.736707291689584\n ],\n [\n -80.6842102922714,\n 41.88460348122109\n ],\n [\n -79.96258495960994,\n 42.16700280222196\n ],\n [\n -79.42295622097835,\n 42.38302164176207\n ],\n [\n -79.37861904307078,\n 42.4440510296389\n ],\n [\n -79.15795348814065,\n 42.52534601120243\n ],\n [\n -79.00930804606551,\n 42.69563463834368\n ],\n [\n -78.83853732874603,\n 42.76038448982763\n ],\n [\n -78.84931646792415,\n 42.86956831700121\n ],\n [\n -78.90437674926393,\n 42.88573072124271\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Del Fiacco, Jessica","contributorId":351525,"corporation":false,"usgs":false,"family":"Del Fiacco","given":"Jessica","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":928792,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hilling, Corbin David 0000-0003-4040-9516","orcid":"https://orcid.org/0000-0003-4040-9516","contributorId":298946,"corporation":false,"usgs":true,"family":"Hilling","given":"Corbin","email":"","middleInitial":"David","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":928793,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70263872,"text":"dr1208 - 2025 - Bedrock fracture characterization of the New Hampshire State Route 111 bypass, Windham, New Hampshire","interactions":[],"lastModifiedDate":"2025-07-21T18:31:25.600058","indexId":"dr1208","displayToPublicDate":"2025-03-03T09:20:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1208","displayTitle":"Bedrock Fracture Characterization of the New Hampshire State Route 111 Bypass, Windham, New Hampshire","title":"Bedrock fracture characterization of the New Hampshire State Route 111 bypass, Windham, New Hampshire","docAbstract":"Bedrock roadcuts developed with blasting along the New Hampshire State Route 111 bypass in Windham expose the metasedimentary Silurian Berwick Formation and intrusions of multiple phases of foliated to nonfoliated granite to granitic pegmatite of the Devonian New Hampshire Plutonic Suite. Fracture characterization at two roadway rock cuts (roadcuts) included measurement of fractures over a distance of approximately 225 and 85 meters. The Berwick Formation consists of medium-gray biotite-plagioclase-quartz granofels, biotite schist, and lesser calc-silicate rock. The Berwick Formation is locally sulfidic. Fresh, unweathered roadcuts are mostly gray but exhibit locally rusty weathering. The most conspicuous foliation in the region around the studied roadcuts is steeply northwest dipping to subvertical and northeast-southwest striking. Regionally, the strike of the foliation is consistently to the northeast-southwest, but the dip is locally variable to both the southeast and northwest. About 8 percent of the observed foliation surfaces exhibit limited fracture parting. The limited degree of parting agrees with observations for rocks within the garnet zone of metamorphism elsewhere in the Windham 7.5-minute quadrangle. The most prominent fracture trend is subvertical to steeply northeast-dipping and northwest-southeast striking (strike and dip of about 295°, 80°). The peak trend of steeply dipping fractures at the two exposures is 295°±12° and 289°±6°. Veins observed in the granite occur parallel to the peak fracture trend and consist primarily of quartz, tourmaline, and ankerite with minor amounts of sulfides (arsenopyrite, galena, and rare sphalerite), and trace amounts of apatite and rutile. The observed peak fracture trend at these roadcuts closely agrees with the most prominent fracture trend recognized within the Windham quadrangle. Gently south- to southeast-dipping and east- to northeast-striking fractures occur as joints and as parting fractures along a weak S3 cleavage. Water-bearing fractures at one exposure occur along joints and gently dipping contacts between the Berwick Formation and the granite to granitic pegmatite of the New Hampshire Plutonic Suite. About 8 percent of the fractures are water-bearing and most water-bearing fractures are gently dipping to the southeast. Fracture data separated by rock type shows a similar distribution for steeply dipping northwest-striking trends, but with much fewer observed steeply north-dipping fractures in the granitic rocks. Both rock types show a cluster of gently south-dipping fractures. The granites show far fewer steeply dipping northeast-striking fractures, which reflects a greater degree of parting along the foliation in the metasedimentary rocks than in the granites. No foliation-parallel fractures were observed in the granites, but some contacts between granites and the Berwick Formation do exhibit parting. Fracture termination classification yields 3 percent abutting, 76 percent dead end, and 21 percent crossing (or throughgoing) fractures.
Six brittle faults were observed, which strike northeast and most dip steeply to the northwest. Calculated paleostress tensors for the faults show an average stress field that is consistent with Late Triassic to Early Jurassic northwest-southeast extension associated with rifting of the New England crust during the initial opening of the Atlantic Basin. Fault data are consistent with brittle reactivation of the northeast striking and northwest dipping dominant foliation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1208","programNote":"National Cooperative Geologic Mapping Program","usgsCitation":"Walsh, G.J., and Powell, N.E., 2025, Bedrock fracture characterization of the New Hampshire State Route 111 bypass, Windham, New Hampshire: U.S. Geological Survey Data Report 1208, 12 p., https://doi.org/10.3133/dr1208.","productDescription":"Report: vi, 12 p.; Data Release","numberOfPages":"12","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-173004","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":492694,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118460.htm","linkFileType":{"id":5,"text":"html"}},{"id":482525,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1208/images/"},{"id":482521,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1208/coverthb.jpg"},{"id":482522,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1208/dr1208.pdf","text":"Report","size":"14.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1208 PDF"},{"id":482524,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1208/dr1208.XML","linkFileType":{"id":8,"text":"xml"},"description":"DR 1208 XML"},{"id":482526,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14A6TJY","text":"USGS data release","linkHelpText":"Fracture data collected at the Route 111 bypass in Windham, New Hampshire"},{"id":482523,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1208/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"DR 1208 HTML"}],"country":"United States","state":"New Hampshire","city":"Windham","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -71.3065034148442,\n 42.818705377139935\n ],\n [\n -71.3065034148442,\n 42.7840391932281\n ],\n [\n -71.26391433086863,\n 42.7840391932281\n ],\n [\n -71.26391433086863,\n 42.818705377139935\n ],\n [\n -71.3065034148442,\n 42.818705377139935\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Florence Bascom Geoscience Center
U.S. Geological Survey
12201 Sunrise Valley Drive, MS 926A
Reston, VA 20192
No abstract available.
","language":"English","publisher":"Nature","doi":"10.1038/s43017-025-00651-4","usgsCitation":"Harkness, J.S., 2025, What are the impacts of fracking operations on local water quality?: Nature Reviews Earth & Environment, v. 6, https://doi.org/10.1038/s43017-025-00651-4.","productDescription":"2 p.","startPage":"160","ipdsId":"IP-173094","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":496389,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s43017-025-00651-4","text":"Publisher Index Page"},{"id":484059,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","edition":"159","noUsgsAuthors":false,"publicationDate":"2025-03-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Harkness, Jennifer S. 0000-0001-9050-2570 jharkness@usgs.gov","orcid":"https://orcid.org/0000-0001-9050-2570","contributorId":224299,"corporation":false,"usgs":true,"family":"Harkness","given":"Jennifer","email":"jharkness@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932511,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70264274,"text":"70264274 - 2025 - Dynamic and context-dependent keystone species effects in kelp forests","interactions":[],"lastModifiedDate":"2025-03-10T14:09:02.612583","indexId":"70264274","displayToPublicDate":"2025-03-03T09:05:15","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Dynamic and context-dependent keystone species effects in kelp forests","docAbstract":"Sea otters are an iconic keystone predator that can maintain kelp forests by preying on grazing invertebrates such as sea urchins. However, the effects of sea otters on kelp forests vary over their geographic range. Here, we analyze two 30-y datasets on kelp forest communities during the reintroduction of sea otters along the west coast of Vancouver Island, BC, Canada, and around San Nicolas Island, CA. We developed a community model to estimate species interactions as dynamic rates, varying with community state. We find evidence of a classic trophic cascade off Vancouver Island; the arrival of otters quickly led to depletion of urchins and recovery of kelp. However, this cascade was muted around San Nicolas Island, with otters, urchins, and kelp all coexisting at intermediate densities for multiple years. Our models show that this difference came from a pulse of strong otter impacts on urchins following recolonization off Vancouver Island, but not off San Nicolas Island. The mean effects of otters on urchins and urchins on kelp were not stronger in the north, indicating that interaction dynamics and not average interaction strength are key to explaining differences in community trajectories. We also find stronger multistep interaction chains in the south, arising from competitive interactions that indirectly buffered otter effects. These findings shed light on long-standing hypotheses about how interspecific interactions can alter the function of keystone species across community contexts. More broadly, we show how community change can be more accurately predicted by considering dynamic interaction strengths.
","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.2413360122","usgsCitation":"Langendorf, R., Estes, J.A., Watson, J.C., Kenner, M.C., Hatfield, B.B., Tinker, M.T., Waddle, E., DeMarche, M., and Doak, D., 2025, Dynamic and context-dependent keystone species effects in kelp forests: Proceedings of the National Academy of Sciences, v. 122, no. 10, e2413360122, 10 p., https://doi.org/10.1073/pnas.2413360122.","productDescription":"e2413360122, 10 p.","ipdsId":"IP-168469","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":486979,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.2413360122","text":"Publisher Index Page"},{"id":483132,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","issue":"10","noUsgsAuthors":false,"publicationDate":"2025-03-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Langendorf, Ryan E.","contributorId":352190,"corporation":false,"usgs":false,"family":"Langendorf","given":"Ryan E.","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":930235,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Estes, James A. 0000-0002-3632-4555 jim_estes@usgs.gov","orcid":"https://orcid.org/0000-0002-3632-4555","contributorId":240955,"corporation":false,"usgs":false,"family":"Estes","given":"James","email":"jim_estes@usgs.gov","middleInitial":"A.","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":930236,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watson, Jane C.","contributorId":201244,"corporation":false,"usgs":false,"family":"Watson","given":"Jane","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":930237,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kenner, Michael C. 0000-0003-4659-461X","orcid":"https://orcid.org/0000-0003-4659-461X","contributorId":208151,"corporation":false,"usgs":true,"family":"Kenner","given":"Michael","email":"","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":930238,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hatfield, Brian B. 0000-0003-1432-2660 brian_hatfield@usgs.gov","orcid":"https://orcid.org/0000-0003-1432-2660","contributorId":147917,"corporation":false,"usgs":true,"family":"Hatfield","given":"Brian","email":"brian_hatfield@usgs.gov","middleInitial":"B.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":930239,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tinker, M. T. 0000-0002-3314-839X","orcid":"https://orcid.org/0000-0002-3314-839X","contributorId":54152,"corporation":false,"usgs":false,"family":"Tinker","given":"M.","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":930240,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Waddle, Ellen","contributorId":352192,"corporation":false,"usgs":false,"family":"Waddle","given":"Ellen","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":930241,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"DeMarche, Megan L.","contributorId":352195,"corporation":false,"usgs":false,"family":"DeMarche","given":"Megan L.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":930242,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Doak, Daniel F.","contributorId":352197,"corporation":false,"usgs":false,"family":"Doak","given":"Daniel F.","affiliations":[{"id":36627,"text":"University of Colorado, Boulder","active":true,"usgs":false}],"preferred":false,"id":930243,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70264152,"text":"70264152 - 2025 - METRIC: An interactive framework for integrated visualization and analysis of monitored and expected load reductions for nitrogen, phosphorus, and sediment in the Chesapeake Bay watershed","interactions":[],"lastModifiedDate":"2025-03-07T15:06:33.51307","indexId":"70264152","displayToPublicDate":"2025-03-03T09:03:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7164,"text":"Environmental Modelling & Software","active":true,"publicationSubtype":{"id":10}},"title":"METRIC: An interactive framework for integrated visualization and analysis of monitored and expected load reductions for nitrogen, phosphorus, and sediment in the Chesapeake Bay watershed","docAbstract":"Reductions of nitrogen, phosphorus, and sediment loads have been the focus of watershed restoration in many regions for improving water quality, including the Chesapeake Bay. Watershed models and riverine monitoring data can provide important information on the progress of load reductions but do not always generate consistent interpretations. A new framework for integrated visualization and analysis of monitoring and modeling data, named “Monitored and Expected Total Reduction Indicator for the Chesapeake (METRIC),” was developed to provide spatially explicit trends for the subwatersheds of the Chesapeake Bay. METRIC contains up-to-date information on nitrogen, phosphorus, and sediment at 83, 66, and 66 stations, respectively, which can help watershed managers gauge expectations on the trajectory and pace of progress at localized scales. These results were further synthesized to better understand the spatial patterns of the response classes (i.e., agreement between the expected and monitored trends) across the Chesapeake Bay watershed.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2025.106379","usgsCitation":"Zhang, Q., Shenk, G.W., Bhatt, G., and Bertani, I., 2025, METRIC: An interactive framework for integrated visualization and analysis of monitored and expected load reductions for nitrogen, phosphorus, and sediment in the Chesapeake Bay watershed: Environmental Modelling & Software, v. 188, 106379, 12 p., https://doi.org/10.1016/j.envsoft.2025.106379.","productDescription":"106379, 12 p.","ipdsId":"IP-173682","costCenters":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":483048,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 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Center","active":true,"usgs":true}],"preferred":true,"id":929955,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bhatt, Gopal","contributorId":331411,"corporation":false,"usgs":false,"family":"Bhatt","given":"Gopal","affiliations":[{"id":6975,"text":"Penn State","active":true,"usgs":false}],"preferred":false,"id":929956,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bertani, Isabella","contributorId":194574,"corporation":false,"usgs":false,"family":"Bertani","given":"Isabella","email":"","affiliations":[{"id":33091,"text":"University of Michigan, Ann Arbor, Michigan","active":true,"usgs":false}],"preferred":false,"id":929957,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70264425,"text":"70264425 - 2025 - Piping Plover home ranges do not appear to be impacted by restoration of barrier islands and headlands","interactions":[],"lastModifiedDate":"2025-03-14T13:56:38.39425","indexId":"70264425","displayToPublicDate":"2025-03-03T08:54:44","publicationYear":"2025","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":19846,"text":"BioRxiv","active":true,"publicationSubtype":{"id":32}},"title":"Piping Plover home ranges do not appear to be impacted by restoration of barrier islands and headlands","docAbstract":"Restoration of barrier island and headland habitats can alter existing and create new habitats, which may impact wildlife occupying these areas such as the threatened Piping Plover (Charadrius melodus). We used resight data from banded birds to develop minimum convex polygon (MCP) and kernel density estimates (KDE) of individual Piping Plover home ranges to investigate whether changes in habitat use resulted from restoration activities at Whiskey Island and Caminada Headland, Louisiana. We quantified home range areas for each season and compared changes among pre-restoration, active restoration, and post-restoration phases at each site. We had sufficient sample sizes from Whiskey Island to compare home ranges derived by MCP during the pre-restoration phase to the active restoration phase. However, we did not have enough resight data to analyze post-restoration phase by MCP or any phase by KDE at Whiskey Island. For Caminada Headland, we were able to compare all phases of restoration using MCP, but only had sufficient data to compare pre-restoration and active restoration phases using KDE. Aside from one significant decrease in core (50% isopleth) home range at Caminada Headland when comparing MCPs between post-restoration (∼8 ha) and pre-restoration (∼11 ha) phases, we found no other differences in home range size across phases at either of our study sites. The sum of all evidence generally indicating no change to Piping Plover home range size suggests that barrier island and headland restoration did not have significant positive or negative impacts. The weak response to restoration activities further suggests that birds are using similar or smaller amounts of habitat after restoration is complete and may not need to expand their foraging range following restoration. Further study can help to understand how species of conservation concern respond to coastal restoration efforts, which is critical for establishing comprehensive conservation strategies aimed at species recovery.
","language":"English","publisher":"BioRxiv","doi":"10.1101/2025.03.03.638931","usgsCitation":"Zenzal, T.J., Anderson, A.N., LeBlanc, D., Dobbs, R., Geary, B., and Waddle, H., 2025, Piping Plover home ranges do not appear to be impacted by restoration of barrier islands and headlands: BioRxiv, https://doi.org/10.1101/2025.03.03.638931.","productDescription":"33 p.","ipdsId":"IP-159668","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":488296,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1101/2025.03.03.638931","text":"Publisher Index Page"},{"id":483334,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zenzal, Theodore J. Jr. 0000-0001-7342-1373","orcid":"https://orcid.org/0000-0001-7342-1373","contributorId":224399,"corporation":false,"usgs":true,"family":"Zenzal","given":"Theodore","suffix":"Jr.","email":"","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":930724,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Amanda Nicole 0000-0003-3930-3896","orcid":"https://orcid.org/0000-0003-3930-3896","contributorId":224400,"corporation":false,"usgs":true,"family":"Anderson","given":"Amanda","email":"","middleInitial":"Nicole","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":930725,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LeBlanc, Delaina","contributorId":330122,"corporation":false,"usgs":false,"family":"LeBlanc","given":"Delaina","email":"","affiliations":[{"id":78819,"text":"Barataria-Terrebonne National Estuary","active":true,"usgs":false}],"preferred":false,"id":930726,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dobbs, Robert C. 0000-0002-9079-7249 rdobbs@usgs.gov","orcid":"https://orcid.org/0000-0002-9079-7249","contributorId":200300,"corporation":false,"usgs":false,"family":"Dobbs","given":"Robert C.","email":"rdobbs@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":930727,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Geary, Brock","contributorId":352310,"corporation":false,"usgs":false,"family":"Geary","given":"Brock","affiliations":[{"id":16979,"text":"University of Pennsylvania","active":true,"usgs":false}],"preferred":false,"id":930728,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Waddle, Hardin 0000-0003-1940-2133","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":201976,"corporation":false,"usgs":true,"family":"Waddle","given":"Hardin","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":930729,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70263224,"text":"70263224 - 2025 - Documenting, quantifying, and modeling a large glide avalanche in Glacier National Park, Montana, USA","interactions":[],"lastModifiedDate":"2025-02-03T15:39:22.816973","indexId":"70263224","displayToPublicDate":"2025-03-03T08:35:01","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1264,"text":"Cold Regions Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Documenting, quantifying, and modeling a large glide avalanche in Glacier National Park, Montana, USA","docAbstract":"Glide avalanches present a significant and repetitive challenge to many operational forecasting programs, and they are likely to become more frequent. While the spatial location of glide release areas is extremely consistent, the onset of glide avalanche release is notoriously difficult to forecast, and their destructive potential can be immense. Thus, the timing and dynamics of glide avalanches is an important area of study. To better understand these processes, and to improve assessments of risk to transportation corridors and infrastructure, event documentation is key. Here, we survey a large glide avalanche event along the Going-to-the-Sun Road in Glacier National Park, Montana, USA, during road opening operations in the spring of 2022. Using three sets of terrestrial lidar data (pre-event, post-event, and snow-off), we quantified key aspects of the avalanche and created powerful visualizations for analysis. Further, we evaluated meteorological data from automated weather stations between the onset of glide cracking and avalanche release. Last, we synthesized lidar data with a numerical dynamics model to replicate the event in a simulated environment. Using the tuned model, we determined the critical mean snow depth in the release area necessary for an avalanche to reach the road (4.2 m). Our method may be of particular use for glide avalanches, which tend to release in roughly the same place and time each year at a known interface. This could make the calculated critical depths more consistently reliable and preclude the need for additional tuning in dynamics models. As 1) lidar technology continues to improve and reduce in cost, 2) transportation corridors continue to extend into avalanche terrain, and 3) glide avalanches potentially become increasingly frequent, the synthesis outlined here provides a valuable tool for operational forecasters considering infrastructure threatened by glide events.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.coldregions.2024.104412","usgsCitation":"Dillon, J.W., Peitzsch, E.H., Miller, Z., Bartelt, P., and Hammonds, K.D., 2025, Documenting, quantifying, and modeling a large glide avalanche in Glacier National Park, Montana, USA: Cold Regions Science and Technology, v. 231, 104412, 10 p., https://doi.org/10.1016/j.coldregions.2024.104412.","productDescription":"104412, 10 p.","ipdsId":"IP-167691","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":489926,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.coldregions.2024.104412","text":"Publisher Index Page"},{"id":481608,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Glacier National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.0973168994086,\n 48.755499897415916\n ],\n [\n -114.0973168994086,\n 48.536591733185475\n ],\n [\n -113.50134190625533,\n 48.536591733185475\n ],\n [\n -113.50134190625533,\n 48.755499897415916\n ],\n [\n -114.0973168994086,\n 48.755499897415916\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"231","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dillon, James W.","contributorId":330951,"corporation":false,"usgs":false,"family":"Dillon","given":"James","email":"","middleInitial":"W.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":925961,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peitzsch, Erich H. 0000-0001-7624-0455","orcid":"https://orcid.org/0000-0001-7624-0455","contributorId":202576,"corporation":false,"usgs":true,"family":"Peitzsch","given":"Erich","middleInitial":"H.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":925962,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Zachary 0000-0002-6876-6710","orcid":"https://orcid.org/0000-0002-6876-6710","contributorId":214464,"corporation":false,"usgs":true,"family":"Miller","given":"Zachary","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":925963,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bartelt, Perry","contributorId":336797,"corporation":false,"usgs":false,"family":"Bartelt","given":"Perry","affiliations":[{"id":80867,"text":"SLF","active":true,"usgs":false}],"preferred":false,"id":925964,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hammonds, Kevin D.","contributorId":330952,"corporation":false,"usgs":false,"family":"Hammonds","given":"Kevin","email":"","middleInitial":"D.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":925965,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}