We investigate patterns of cumulative offsets on the faults that ruptured in 2019 and along the Garlock Fault in the Ridgecrest region, California using recently published gravity and aeromagnetic data. We also examine the relationship of basin structure and bedrock structure to the 2019 M7.1 Ridgecrest earthquake ruptures (Fig. 1A), which were primarily along a dextral northwest-striking fault system, and along a sinistral northeast-striking fault, which ruptured hours earlier with a M6.4 event.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Friends of the Pleistocene Pacific Cell annual meeting fieldtrip guidebook","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2025 Pacific Cell Friends of the Pleistocene Field Conference","conferenceDate":"October 24-26, 2025","conferenceLocation":"Ridgecrest, CA","language":"English","publisher":"Friends of the Pleistocene","usgsCitation":"Langenheim, V., and Haddon, E., 2025, Relationship of basin structure and bedrock lithology to faulting in the 2019 Ridgecrest earthquake region, California, from gravity and aeromagnetic data, in Friends of the Pleistocene Pacific Cell annual meeting fieldtrip guidebook, Ridgecrest, CA, October 24-26, 2025, p. 166-169.","productDescription":"4 p.","startPage":"166","endPage":"169","ipdsId":"IP-183325","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":496472,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":496456,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://fop.cascadiageo.org/field-trips/pacific-cell-field-trips/2025-pacific-cell-ridgecrest-ca/"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.333,\n 36.333\n ],\n [\n -118.333,\n 35\n ],\n [\n -117,\n 35\n ],\n [\n -117,\n 36.333\n ],\n [\n -118.333,\n 36.333\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Langenheim, Victoria 0000-0003-2170-5213","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":217151,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":950003,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haddon, Elizabeth 0000-0001-7601-7755 ehaddon@usgs.gov","orcid":"https://orcid.org/0000-0001-7601-7755","contributorId":196407,"corporation":false,"usgs":true,"family":"Haddon","given":"Elizabeth","email":"ehaddon@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":950004,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70274146,"text":"70274146 - 2025 - Fish-assemblage and water-quality recovery with declining acidic deposition in Adirondack mountain streams, New York, USA","interactions":[],"lastModifiedDate":"2026-03-02T15:02:56.468026","indexId":"70274146","displayToPublicDate":"2025-10-24T07:54:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Fish-assemblage and water-quality recovery with declining acidic deposition in Adirondack mountain streams, New York, USA","docAbstract":"Long-term records of air-pollutant emissions and atmospheric deposition, as well as water quality in streams of the Adirondack Mountains of New York, USA, indicate that chemical recovery from acidic deposition is progressing. Although Brook Trout Salvelinus fontinalis (Mitchill, 1814) have recently repopulated several lakes, the degree to which fish assemblages and individual species populations have recovered in streams of the region is unknown. The United States Geological Survey sampled acid–base chemistry and fish assemblages at 42 Adirondack region streams (2014–2021), most of which were also sampled in 2 prior periods (primarily 1979–1984 and 1999), to determine the extent and degree of chemical and biological recovery and whether responses could be linked to regional declines in acidic deposition. Between 1990 and 2021, total annual emissions of SO2 and NOx declined nationwide by 94% and 87%, respectively, and paralleled 88% and 70% decreases in SO42− and NO3− concentrations, respectively, in wet deposition in the region. During this interval, mean acid neutralizing capacity increased by 19.9 µeq/L, pH increased by 0.33 units, and inorganic Al (Ali) decreased by 6.0 µmol/L at one continuously monitored stream, whereas mean acid neutralizing capacity increased by 38.5 µeq/L and mean Ali concentration decreased by ∼3.0 µmol/L during springtime at all 42 Adirondack region streams. Between the 1st and 3rd periods, mean fish-assemblage richness, density, and biomass at 40 sites increased by 112%, 236%, and 66%, respectively. Although mean Brook Trout density and biomass did not meaningfully change among periods, their distribution expanded from 20 sites in the strongly impacted sampling period (1979–1984) to 33 sites in the recovery period (2014–2021). Trends in pollutant emissions and deposition, water quality, and fish-assemblage metrics indicate aquatic ecosystems in many Adirondack mountain streams improved markedly following implementation of the 1990 Clean Air Act Amendments and recent N and S allowance-trading and emissions regulations.
","language":"English","publisher":"University of Chicago Press","doi":"10.1086/738871","usgsCitation":"Baldigo, B.P., George, S.D., and Lawrence, G.B., 2025, Fish-assemblage and water-quality recovery with declining acidic deposition in Adirondack mountain streams, New York, USA: Freshwater Science, v. 44, no. 4, p. 443-462, https://doi.org/10.1086/738871.","productDescription":"20 p.","startPage":"443","endPage":"462","ipdsId":"IP-154992","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":500670,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Adirondack State Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.26665751178325,\n 44.60507553722792\n ],\n [\n -75.65331217554504,\n 44.14950624058149\n ],\n [\n -75.15224396884794,\n 43.1190030583347\n ],\n [\n -73.96958415264136,\n 42.98169264950411\n ],\n [\n -73.26534654292884,\n 43.78514049152075\n ],\n [\n -73.34519835014197,\n 44.82227470192748\n ],\n [\n -74.42802264458987,\n 44.85423999436294\n ],\n [\n -75.26665751178325,\n 44.60507553722792\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"44","issue":"4","edition":"2025","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":221408,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956684,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":214242,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956685,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70274544,"text":"70274544 - 2025 - Lake sturgeon behavioral diversity in the Laurentian Great Lakes: Migratory patterns across populations and habitats","interactions":[],"lastModifiedDate":"2026-03-31T15:35:20.916707","indexId":"70274544","displayToPublicDate":"2025-10-23T10:30:30","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Lake sturgeon behavioral diversity in the Laurentian Great Lakes: Migratory patterns across populations and habitats","docAbstract":"Characterizing the diversity of migration behaviors from the individual to the population level is essential for understanding how organisms respond to environmental variation and how these responses affect survival and habitat use. Lake sturgeon (Acipenser fulvescens) is a species of special concern in the Laurentian Great Lakes that are long-lived and generally classified as intermittent, adfluvial spawners. Observations of lake sturgeon movements at ecologically relevant spatiotemporal scales have shown that migration behavior often varies among individuals within the same population. However, studies on individual populations, particularly when focused only on a part of the life cycle (e.g., often spawning), provide just a partial understanding of the species’ full migratory scope and processes underlying expression of different migratory behaviors. To better understand lake sturgeon migratory diversity, we characterized and compared migratory behaviors of six lake sturgeon populations occupying environments that varied in habitat availability and connectivity in different Laurentian Great Lakes.
Sequence analysis combined with agglomerative hierarchical clustering and visual inspection of daily location data were used to identify distinct lake sturgeon migratory behaviors present in each population.
Seven distinct migratory behaviors were identified based on differential patterns of lake and river use that encompass spawning and other seasonal periods. Behaviors were categorized as annual spring river, intermittent spring river, intermittent two-step, annual summer river, annual winter river, and annual interlake migrants along with river residents. The presence and frequency of migratory behaviors varied substantially among populations.
Our study demonstrated that migratory diversity is a general feature of lake sturgeon life history that may be partially shaped by habitat availability and connectivity. Given these results, we propose a conceptual model that links habitat availability and connectivity to migratory diversity and predict a positive association between them. This updated framework provides a cohesive basis for understanding lake sturgeon migratory behavior across variable ecological contexts in the Laurentian Great Lakes and will help promote future research to refute or refine the model.
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We examined spatial patterns of heat exposure along the ~560-kilometer length of FCR and the mortality of two ecologically important, critically endangered reef-building corals. Sea surface temperatures were ≥31°C for an average of 40.7 days, leading to heat exposures 2.2- to fourfold higher than all prior years on record. In the Florida Keys and Dry Tortugas, 97.8 to 100% of the Acropora palmata and Acropora cervicornis colonies died. Mortality was lower offshore southeast Florida (37.9%), reflecting cooler temperatures in this region. Since the late 1970s, multiple stressors had already reduced the ecological relevance of Acropora in Florida, but the 2023 heat wave marks their functional extinction from FCR.
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Despite the economic significance of these rocks, their formation and the processes of REE enrichment are poorly understood. Here, statistical analysis of a global dataset demonstrates that zircon geochemistry is a powerful recorder of REE metallogenesis and a potential pathfinder for REE deposits. Zircons from REE and Nb fertile intrusions lack Eu anomalies and have elevated Gd/Yb and Th/Yb, indicating they crystallised from magmas that originated from deep, oxidised and enriched mantle sources. Complexes with Nb enrichment have low U/Nb, reflecting an enriched mantle source, whereas high U/Nb in REE-only fertile intrusions suggest a subduction-metasomatised mantle source. Machine learning models demonstrate high accuracy in classifying zircon from barren and fertile deposits. Classification of detrital zircons shows that REE-enriched deposits correlate with supercontinent assembly, whereas Nb fertile complexes are associated with supercontinent breakup. This approach offers a new, mineral to global scale, petrologic and exploration tool that enhances understanding of REE metallogenesis.
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The iconic greater sage-grouse (Centrocercus urophasianus; sage-grouse) is central to conservation within the North American sagebrush ecosystem, yet its vulnerability to climate effects remains poorly understood. We used hierarchical models to explore weather and climatic influences on sage-grouse across nearly four decades, focusing first on pattern (population change), then process (demographic life stage). We quantified eight indicators of temperature and/or moisture conditions across time lags of 0–1.5 years leading up to current year breeding activities. Sage-grouse population growth tended to increase following above-average growing season precipitation. Precipitation or drought timing influenced whether process effects were positive or negative. More summer and/or fall moisture corresponded with increases in subsequent year brood and adult survival, while concurrent seasonal drought led to reductions in nest survival. Positive concurrent spring drought associations with adult and brood survival were largely outweighed by positive prior year moisture effects. Density-dependence and indirect effects of precipitation through vegetation and forage resource pathways likely contributed to nuanced responses across life stages. Our research improves mechanistic understanding of this indicator species’ sensitivity to climatic factors, while reinforcing the importance of large-scale conservation initiatives for sagebrush ecosystems.","language":"English","publisher":"Nature","doi":"10.1038/s41598-025-20796-y","usgsCitation":"O’Neil, S.T., Lundblad, C.G., Brussee, B.E., Tull, J.C., Casazza, M.L., Small, J.R., Aldridge, C.L., and Coates, P., 2025, Precipitation timing mediates life-stage and population-level associations with climate for an indicator species: Scientific Reports, v. 15, 37051, 19 p., https://doi.org/10.1038/s41598-025-20796-y.","productDescription":"37051, 19 p.","ipdsId":"IP-171093","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":498455,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-025-20796-y","text":"Publisher Index Page"},{"id":498322,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","noUsgsAuthors":false,"publicationDate":"2025-10-23","publicationStatus":"PW","contributors":{"authors":[{"text":"O’Neil, Shawn T. 0000-0002-0899-5220","orcid":"https://orcid.org/0000-0002-0899-5220","contributorId":206589,"corporation":false,"usgs":true,"family":"O’Neil","given":"Shawn","email":"","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":953274,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lundblad, Carl Gregory 0000-0001-7925-9055","orcid":"https://orcid.org/0000-0001-7925-9055","contributorId":346421,"corporation":false,"usgs":true,"family":"Lundblad","given":"Carl","email":"","middleInitial":"Gregory","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":953275,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brussee, Brianne E.","contributorId":364830,"corporation":false,"usgs":false,"family":"Brussee","given":"Brianne","middleInitial":"E.","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":953276,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tull, John Christopher 0000-0002-0680-008X","orcid":"https://orcid.org/0000-0002-0680-008X","contributorId":364832,"corporation":false,"usgs":true,"family":"Tull","given":"John","middleInitial":"Christopher","affiliations":[{"id":41166,"text":"Southwest Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":953277,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Casazza, Michael L.","contributorId":364834,"corporation":false,"usgs":false,"family":"Casazza","given":"Michael","middleInitial":"L.","affiliations":[{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":953278,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Small, Justin R.","contributorId":364835,"corporation":false,"usgs":false,"family":"Small","given":"Justin","middleInitial":"R.","affiliations":[{"id":85566,"text":"NDOW","active":true,"usgs":false}],"preferred":false,"id":953279,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":953280,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Coates, Peter S. 0000-0003-2672-9994","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":352181,"corporation":false,"usgs":true,"family":"Coates","given":"Peter S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":953281,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70272108,"text":"70272108 - 2025 - Linking bathythermal habitat selection to management of a migratory freshwater fish","interactions":[],"lastModifiedDate":"2025-11-17T15:44:10.712292","indexId":"70272108","displayToPublicDate":"2025-10-23T09:38:58","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Linking bathythermal habitat selection to management of a migratory freshwater fish","docAbstract":"For migratory fishes, habitat selection in dimensions of temperature and depth may be jointly used to define the bathythermal niche. Seasonal and long-term changes in the availability of bathythermal habitat can cause behavioral responses that have consequences for managing interjurisdictional fisheries that target migratory fishes. Management of such fisheries typically relies on standardized surveys to provide knowledge of stock status, yet changes in fish behavior may complicate interpretation of survey results. For example, changes in bathythermal habitat selection could uncouple fish availability from surveys designed to intercept migrating fish in predefined bathythermal habitats.
We applied electronic tagging methods to Lake Erie walleye (Sander vitreus) to address spatial management and stock assessment questions regarding bathythermal habitat. Specifically, we sought to determine if bathythermal habitat use varied in relation to body size, season, and time of day, with a particular focus on how these may influence availability to fisheries-independent surveys conducted during September-November.
As predicted, bathythermal habitat distribution fluctuated substantially throughout the year, was most limited during spawning months, and most expansive during fall migration. During the summer stratified months, walleye primarily selected epilimnetic habitats, despite the prevailing notion that colder hypolimnetic waters would be preferred during this time.
While our results did not support a previous hypothesis that smaller fish were more available to assessment survey gears, our results did support previous assertions that walleye were more active and available to suspended gill nets during late crepuscular periods in fall. Considering uncertainties in water quality and long-term warming trends, our case study could improve decisions regarding spatial management of this species in the context of independent water quality management objectives.
","language":"English","publisher":"BMC","doi":"10.1186/s40462-025-00570-5","usgsCitation":"Kraus, R., Faust, M., Colborne, S.F., and Vandergoot, C., 2025, Linking bathythermal habitat selection to management of a migratory freshwater fish: Movement Ecology, v. 13, 76, 16 p., https://doi.org/10.1186/s40462-025-00570-5.","productDescription":"76, 16 p.","ipdsId":"IP-169243","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":496723,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-025-00570-5","text":"Publisher Index Page"},{"id":496546,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Canada","otherGeospatial":"Detroit River, Lake Erie, Lake St. Clair","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -78.60511028915917,\n 43.124830511606035\n ],\n [\n -83.65975266356337,\n 43.124830511606035\n ],\n [\n -83.65975266356337,\n 40.97016521622899\n ],\n [\n -78.60511028915917,\n 40.97016521622899\n ],\n [\n -78.60511028915917,\n 43.124830511606035\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"13","noUsgsAuthors":false,"publicationDate":"2025-10-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Kraus, Richard 0000-0003-4494-1841","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":216548,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":950096,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Faust, Matthew","contributorId":268770,"corporation":false,"usgs":false,"family":"Faust","given":"Matthew","affiliations":[{"id":16232,"text":"Ohio Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":950097,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Colborne, Scott F.","contributorId":174737,"corporation":false,"usgs":false,"family":"Colborne","given":"Scott","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":950098,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vandergoot, Christopher","contributorId":340837,"corporation":false,"usgs":false,"family":"Vandergoot","given":"Christopher","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":950099,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70272160,"text":"70272160 - 2025 - Greenhouse gas emissions from ditches in oil palm plantations on tropical peatlands in Malaysia","interactions":[],"lastModifiedDate":"2025-11-18T15:20:15.149263","indexId":"70272160","displayToPublicDate":"2025-10-23T08:15:41","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Greenhouse gas emissions from ditches in oil palm plantations on tropical peatlands in Malaysia","docAbstract":"Tropical peatlands, which store 20% of global peat carbon, are increasingly threatened by conversion to alternative land-uses such as oil palm plantations, pulp wood plantations, crop growth or other economic activities. This transformation involves peatland drainage, which lowers water tables, exposes peat to oxygen, and alters greenhouse gas (GHG) emissions: increasing carbon dioxide (CO2) and nitrous oxide (N2O) fluxes while reducing methane (CH4) emissions from soils. However, drainage ditches created in the process may become significant sources of CH4 due to anoxic conditions. This study quantified GHG fluxes from drainage ditches in Sarawak, Malaysia, through spatial sampling conducted during the daytime in the transitional period between the drier and wetter seasons using portable trace gas analyzers. Median fluxes were 0.19 g CH4 m−2 d−1, 17.1 g CO2 m−2 d−1, and − 0.12 mg N2O m−2 d−1. Physical water parameters such as pH, oxygen concentration, temperature, and oxidation–reduction potential were found to be significant drivers of GHG fluxes. The median emissions from ditches in one hectare of land were 5.84 kg CO2 ha−1 d−1, 2.78 kg CH4 as CO2 eq ha−1 d−1, and − 0.001 kg N2O as CO2 eq ha−1 d−1. These findings underscore the role of drainage ditches as CH4 sources in tropical peatland agriculture, highlighting the need for further research into GHG management in these modified landscapes.
","language":"English","publisher":"Springer Nature","doi":"10.1038/s41598-025-21094-3","usgsCitation":"Kasak, K., Dronova, I., Soosaar, K., Melling, L., Xhuan, W.G., Sangok, F., Ranniku, R., Villa, J.A., Bansal, S., Peacock, M., and Mander, Ü., 2025, Greenhouse gas emissions from ditches in oil palm plantations on tropical peatlands in Malaysia: Scientific Reports, v. 15, 37126, 13 p., https://doi.org/10.1038/s41598-025-21094-3.","productDescription":"37126, 13 p.","ipdsId":"IP-170583","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":496731,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-025-21094-3","text":"Publisher Index Page"},{"id":496583,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Malaysia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 99.99937723563403,\n 6.756461538667807\n ],\n [\n 99.99937723563403,\n 2.710494555037542\n ],\n [\n 103.80214382028282,\n 2.710494555037542\n ],\n [\n 103.80214382028282,\n 6.756461538667807\n ],\n [\n 99.99937723563403,\n 6.756461538667807\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","noUsgsAuthors":false,"publicationDate":"2025-10-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Kasak, Kuno","contributorId":265844,"corporation":false,"usgs":false,"family":"Kasak","given":"Kuno","email":"","affiliations":[],"preferred":false,"id":950274,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dronova, Iryna 0000-0003-3339-3704","orcid":"https://orcid.org/0000-0003-3339-3704","contributorId":272607,"corporation":false,"usgs":false,"family":"Dronova","given":"Iryna","email":"","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":950275,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Soosaar, Kaido","contributorId":362287,"corporation":false,"usgs":false,"family":"Soosaar","given":"Kaido","affiliations":[],"preferred":false,"id":950276,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Melling, Lulie","contributorId":260542,"corporation":false,"usgs":false,"family":"Melling","given":"Lulie","email":"","affiliations":[],"preferred":false,"id":950277,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Xhuan, Wong Guan","contributorId":362288,"corporation":false,"usgs":false,"family":"Xhuan","given":"Wong","middleInitial":"Guan","affiliations":[],"preferred":false,"id":950278,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sangok, Faustina","contributorId":362290,"corporation":false,"usgs":false,"family":"Sangok","given":"Faustina","affiliations":[],"preferred":false,"id":950279,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ranniku, Reti","contributorId":362292,"corporation":false,"usgs":false,"family":"Ranniku","given":"Reti","affiliations":[],"preferred":false,"id":950280,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Villa, Jorge A.","contributorId":362293,"corporation":false,"usgs":false,"family":"Villa","given":"Jorge","middleInitial":"A.","affiliations":[],"preferred":false,"id":950281,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bansal, Sheel 0000-0003-1233-1707 sbansal@usgs.gov","orcid":"https://orcid.org/0000-0003-1233-1707","contributorId":167295,"corporation":false,"usgs":true,"family":"Bansal","given":"Sheel","email":"sbansal@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":950282,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Peacock, Michael","contributorId":362298,"corporation":false,"usgs":false,"family":"Peacock","given":"Michael","affiliations":[],"preferred":false,"id":950283,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mander, Ülo","contributorId":362300,"corporation":false,"usgs":false,"family":"Mander","given":"Ülo","affiliations":[],"preferred":false,"id":950284,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70273073,"text":"70273073 - 2025 - An approach to urban waterway assessment using holistic values and reciprocity","interactions":[],"lastModifiedDate":"2025-12-12T17:38:36.954815","indexId":"70273073","displayToPublicDate":"2025-10-22T10:21:25","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"An approach to urban waterway assessment using holistic values and reciprocity","docAbstract":"Current aquatic ecosystem assessment methods and tools often focus on physical, chemical, and biological indicators of ecosystem health. This approach to ecosystem assessment is not always straightforward to execute in urban environments and ignores potential connectivity between social and environmental outcomes. During a workshop at the Symposium on Urbanization and Stream Ecology in Brisbane, Australia in 2023 (SUSE6), we developed an approach to urban aquatic ecosystem assessment that incorporates a holistic perspective. Specifically, our approach considers both environmental (biological, chemical, and physical integrity) and social (community connection, human safety, resource use) values of urban waterways. This approach is inclusive of Indigenous perspectives, such as the concept of reciprocity, whereby consideration of both the environment and society leads to a healthy ecosystem. To highlight how this holistic assessment approach could be used, we present real-world examples that included assessing both environmental and societal values informed by reciprocity or balanced perspectives. This approach can be broadly applied and adapted to specific aquatic ecosystem conditions and projects, providing an inclusive, community-centered approach for assessing the health of waterways in urban environments.
","language":"English","publisher":"The University of Chicago Press Journals","doi":"10.1086/738639","usgsCitation":"Scoggins, M., Barrett, I.C., Margetts, B.I., Martí, E., Murphy, B.M., Roy, A.H., Shear, R.I., Sabat-Bonilla, S.S., Griffiths, N.A., Nanjappa, V., Mussett, K., Stirling, K.M., Chiblow, S., and Nolan, S., 2025, An approach to urban waterway assessment using holistic values and reciprocity: Freshwater Science, v. 44, no. 4, p. 633-659, https://doi.org/10.1086/738639.","productDescription":"27 p.","startPage":"633","endPage":"659","ipdsId":"IP-167469","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":497491,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Scoggins, Mateo","contributorId":348365,"corporation":false,"usgs":false,"family":"Scoggins","given":"Mateo","affiliations":[{"id":83353,"text":"Watershed Protection Department","active":true,"usgs":false}],"preferred":false,"id":952229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barrett, Isabelle C.","contributorId":364106,"corporation":false,"usgs":false,"family":"Barrett","given":"Isabelle","middleInitial":"C.","affiliations":[{"id":49952,"text":"Lincoln University","active":true,"usgs":false}],"preferred":false,"id":952230,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Margetts, Belinda I.","contributorId":364109,"corporation":false,"usgs":false,"family":"Margetts","given":"Belinda","middleInitial":"I.","affiliations":[{"id":86760,"text":"Christchurch City Council","active":true,"usgs":false}],"preferred":false,"id":952231,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martí, Eugenia","contributorId":364115,"corporation":false,"usgs":false,"family":"Martí","given":"Eugenia","affiliations":[{"id":86764,"text":"Integrative Freshwater Ecology Group","active":true,"usgs":false}],"preferred":false,"id":952238,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murphy, Brian M.","contributorId":364110,"corporation":false,"usgs":false,"family":"Murphy","given":"Brian","middleInitial":"M.","affiliations":[{"id":86763,"text":"River Works","active":true,"usgs":false}],"preferred":false,"id":952232,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":952233,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shear, Ruth I.","contributorId":364111,"corporation":false,"usgs":false,"family":"Shear","given":"Ruth","middleInitial":"I.","affiliations":[{"id":29861,"text":"The University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":952234,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sabat-Bonilla, Sergia S.","contributorId":364112,"corporation":false,"usgs":false,"family":"Sabat-Bonilla","given":"Sergia","middleInitial":"S.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":952235,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Griffiths, Natalie A. 0000-0003-0068-7714","orcid":"https://orcid.org/0000-0003-0068-7714","contributorId":211188,"corporation":false,"usgs":false,"family":"Griffiths","given":"Natalie","email":"","middleInitial":"A.","affiliations":[{"id":37070,"text":"Oak Ridge National Laboratory","active":true,"usgs":false}],"preferred":false,"id":952236,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nanjappa, Vinitha","contributorId":364114,"corporation":false,"usgs":false,"family":"Nanjappa","given":"Vinitha","affiliations":[{"id":63022,"text":"University of South Australia","active":true,"usgs":false}],"preferred":false,"id":952237,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mussett, Kate","contributorId":364156,"corporation":false,"usgs":false,"family":"Mussett","given":"Kate","affiliations":[{"id":79414,"text":"The University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":952266,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Stirling, Kasey M.","contributorId":364163,"corporation":false,"usgs":false,"family":"Stirling","given":"Kasey","middleInitial":"M.","affiliations":[],"preferred":false,"id":952267,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Chiblow, Susan","contributorId":364166,"corporation":false,"usgs":false,"family":"Chiblow","given":"Susan","affiliations":[],"preferred":false,"id":952268,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Nolan, Shayenna","contributorId":364116,"corporation":false,"usgs":false,"family":"Nolan","given":"Shayenna","affiliations":[{"id":48871,"text":"University of Windsor","active":true,"usgs":false}],"preferred":false,"id":952239,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70273798,"text":"70273798 - 2025 - Geochemical evidence for the origin of late Quaternary loess, Seward Peninsula, Alaska","interactions":[],"lastModifiedDate":"2026-01-30T16:32:13.465269","indexId":"70273798","displayToPublicDate":"2025-10-22T09:28:13","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":899,"text":"Arctic, Antarctic, and Alpine Research","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical evidence for the origin of late Quaternary loess, Seward Peninsula, Alaska","docAbstract":"Loess is the most widespread surficial deposit in the state of Alaska. Although loess of last glacial age is common in mid-continental North America, records of last glacial loess in Alaska have been elusive. Here we report a record of last glacial loess on the Seward Peninsula, along with studies of a transect of loess localities also thought to date to the last glacial period. Highly diverse hypotheses on the origin of loess on the Seward Peninsula include local volcanic rocks and mountain ranges to the north and south, as well as offshore deposits. We present particle size and mineralogical and geochemical data that indicate that the most likely sources for loess in this part of eastern Beringia are glaciogenic silt particles of the Kobuk River and Noatak River, both of which drain the Brooks Range to the northeast. Northeasterly paleowinds were therefore responsible for loess on the Seward Peninsula. Such winds probably occurred during late summer or early autumn, when river discharge was at a minimum but temperatures were still above freezing. Northeasterly winds during the last glacial period are in good agreement with a recent paleoclimate model.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/15230430.2025.2564571","usgsCitation":"Muhs, D., and Pigati, J.S., 2025, Geochemical evidence for the origin of late Quaternary loess, Seward Peninsula, Alaska: Arctic, Antarctic, and Alpine Research, v. 57, no. 1, 2564571, 35 p., https://doi.org/10.1080/15230430.2025.2564571.","productDescription":"2564571, 35 p.","ipdsId":"IP-170278","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":499614,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/15230430.2025.2564571","text":"Publisher Index Page"},{"id":499370,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Seward Peninsula","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -169.55037494280683,\n 66.8388103328742\n ],\n [\n -169.55037494280683,\n 63.980403413505144\n ],\n [\n -159.37080899997525,\n 63.980403413505144\n ],\n [\n -159.37080899997525,\n 66.8388103328742\n ],\n [\n -169.55037494280683,\n 66.8388103328742\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"57","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-10-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":168575,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel R.","email":"dmuhs@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":954861,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pigati, Jeffrey S. 0000-0001-5843-6219 jpigati@usgs.gov","orcid":"https://orcid.org/0000-0001-5843-6219","contributorId":201167,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffrey","email":"jpigati@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":954862,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70273339,"text":"70273339 - 2025 - Mount Spurr volcano, August 18, 1992: The eruption heard around Alaska","interactions":[],"lastModifiedDate":"2026-01-09T14:23:56.559276","indexId":"70273339","displayToPublicDate":"2025-10-21T10:40:16","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Mount Spurr volcano, August 18, 1992: The eruption heard around Alaska","docAbstract":"The August 18, 1992, eruption of Mount Spurr volcano, Alaska, produced an impressive Vulcanian to Subplinian eruption column reaching up to 40 km above sea level that blanketed the nearby city of Anchorage with ash. At the time of the eruption, the Alaska Volcano Observatory received reports of audible sound hundreds of kilometers from the source from a variety of azimuths from the volcano and found the pattern that did not solely depend on distance. Explosions are generally inaudible to the human ear at these distances due to the attenuation of sound in the atmosphere as the energy propagates, but low-frequency sound waves (infrasound) persist and can be used to detect and characterize eruptions. Similar reports of zones of audible sounds at great distances have been observed from notable eruptions such as Krakatau 1883, Mount St. Helens 1980, Mount Pinatubo 1991, and Hunga volcano 2022. We perform infrasound propagation modeling to help understand the unique distribution of audible reports, finding that areas with favorable infrasound propagation may help explain areas in which nonlinear propagation, including energy cascading effects into higher frequencies that are audible to the human ear, may have occurred.
","language":"English","publisher":"Springer","doi":"10.1007/s00445-025-01889-y","usgsCitation":"Iezzi, A.M., and Power, J., 2025, Mount Spurr volcano, August 18, 1992: The eruption heard around Alaska: Bulletin of Volcanology, v. 87, 103, 9 p., https://doi.org/10.1007/s00445-025-01889-y.","productDescription":"103, 9 p.","ipdsId":"IP-177278","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":498388,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Mount Spurr","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -145.21429538275885,\n 64.29174488809704\n ],\n [\n -158,\n 64.29174488809704\n ],\n [\n -158,\n 59.07692390342348\n ],\n [\n -145.21429538275885,\n 59.07692390342348\n ],\n [\n -145.21429538275885,\n 64.29174488809704\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"87","noUsgsAuthors":false,"publicationDate":"2025-10-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Iezzi, Alexandra M. 0000-0002-6782-7681","orcid":"https://orcid.org/0000-0002-6782-7681","contributorId":304206,"corporation":false,"usgs":true,"family":"Iezzi","given":"Alexandra","email":"","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":953393,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Power, John 0000-0002-7233-4398","orcid":"https://orcid.org/0000-0002-7233-4398","contributorId":215240,"corporation":false,"usgs":true,"family":"Power","given":"John","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":953394,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70272124,"text":"70272124 - 2025 - Cyanotoxin production in shallow subtropical lakes is driven by nutrient enrichment and primary producer abundance on the millennial scale","interactions":[],"lastModifiedDate":"2025-11-17T15:56:39.6263","indexId":"70272124","displayToPublicDate":"2025-10-21T08:51:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1878,"text":"Harmful Algae","active":true,"publicationSubtype":{"id":10}},"title":"Cyanotoxin production in shallow subtropical lakes is driven by nutrient enrichment and primary producer abundance on the millennial scale","docAbstract":"Increased cyanotoxin concentrations from harmful algal blooms (HABs) in lake systems pose a global challenge to water quality. Although progress has been made in monitoring cyanotoxins in modern environments over recent decades, identifying the triggers of cyanotoxin release by cyanobacteria has yielded mixed results from experimental and analytical studies. Paleolimnological reconstructions can reveal whole-lake long-term changes, but few studies have directly measured cyanotoxins alongside other water quality proxies. Here, we investigated the drivers of sedimentary total microcystin (MC) concentrations on millennial scales in hypereutrophic Lakes Dora and Marian in central Florida, USA. We analyzed dated sediment records using paleolimnological techniques to reconstruct nutrient deposition, cyanobacteria abundance (photosynthetic pigments), and cyanotoxins (total MCs). The objective was to investigate the linkage between MC concentrations in the sediments with both biotic (cyanobacteria and other primary producers) and abiotic factors (nutrients and climate). We found that MC production occurred throughout the ∼7000-year period, progressing from periods of moderate to low, and then to high concentrations in both lakes. Statistical analyses showed that historical MC concentrations were correlated with sedimentary measurements of total phosphorus (TP), cyanobacteria abundance, and other primary producer groups, such as cryptophytes. However, there was only a minimal correspondence with climate proxies, such as charcoal and pollen, suggesting that internal nutrient cycling and human pressures were the dominant drivers of MC deposition. Our study demonstrates that cyanotoxins have occurred for millennia in both lakes with maintained relationships to nutrients and other environmental factors that existed both in historic and modern limnological conditions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.hal.2025.103004","usgsCitation":"Paradeisis-Stathis, S., Waters, M.N., Willard, D., Foliano, S., and Vachula, R.S., 2025, Cyanotoxin production in shallow subtropical lakes is driven by nutrient enrichment and primary producer abundance on the millennial scale: Harmful Algae, v. 151, 103004, 16 p., https://doi.org/10.1016/j.hal.2025.103004.","productDescription":"103004, 16 p.","ipdsId":"IP-181868","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":496548,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Lake Dora, Lake Marian","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.44436943337803,\n 29.651926771236546\n ],\n [\n -82.44436943337803,\n 28.25712734894958\n ],\n [\n -81.14720193457273,\n 28.25712734894958\n ],\n [\n -81.14720193457273,\n 29.651926771236546\n ],\n [\n -82.44436943337803,\n 29.651926771236546\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"151","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Paradeisis-Stathis, Savvas","contributorId":362173,"corporation":false,"usgs":false,"family":"Paradeisis-Stathis","given":"Savvas","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":950143,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waters, Matthew N.","contributorId":362174,"corporation":false,"usgs":false,"family":"Waters","given":"Matthew","middleInitial":"N.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":950144,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Willard, Debra A. 0000-0003-4878-0942","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":269840,"corporation":false,"usgs":true,"family":"Willard","given":"Debra A.","affiliations":[],"preferred":true,"id":950145,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foliano, Sophia","contributorId":362177,"corporation":false,"usgs":false,"family":"Foliano","given":"Sophia","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":950146,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vachula, Richard S.","contributorId":362178,"corporation":false,"usgs":false,"family":"Vachula","given":"Richard","middleInitial":"S.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":950147,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70272196,"text":"70272196 - 2025 - Toward a shared vision for climate-informed resource stewardship","interactions":[],"lastModifiedDate":"2025-12-01T16:54:29.24709","indexId":"70272196","displayToPublicDate":"2025-10-21T08:23:20","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Toward a shared vision for climate-informed resource stewardship","docAbstract":"Climate-change adaptation planning processes and tools are increasing in number and evolving rapidly. During times of innovation and proliferation, a potential danger is incoherence, when well-intended contributions can overwhelm, create confusion, or mask complementarities. A shared vision is needed to avoid duplication, reduce misunderstandings, and facilitate work across jurisdictions to steward resources undergoing profound changes. Such a vision would document fundamental tools and approaches while allowing flexibility to match highly varied management contexts and organizational missions. Fortunately, the preconditions for coherence exist. Here, we illustrate how climate-change adaptation tools—including scenario planning, conceptual frameworks, structured decision making, and impact-evaluation methods—can be (and are) used in tandem to support adaptation planning that accounts for uncertainty, considers a broad range of strategies and actions, makes transparent and robust choices, evaluates outcomes, and is flexible and responsive to the decision context.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/fee.70005","usgsCitation":"Miller, B.W., Schuurman, G.W., Carr, W., Lawrence, D.J., Thurman, L., Bamzai-Dodson, A., Brandt, L.A., Crausbay, S.D., Cross, M.E., Eaton, M.J., Janowiak, M.K., Jones-Farrand, D.T., and Reyes, J., 2025, Toward a shared vision for climate-informed resource stewardship: Frontiers in Ecology and the Environment, v. 23, no. 10, e70005, 8 p., https://doi.org/10.1002/fee.70005.","productDescription":"e70005, 8 p.","ipdsId":"IP-176778","costCenters":[{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":496635,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":496743,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/fee.70005","text":"Publisher Index Page"}],"volume":"23","issue":"10","noUsgsAuthors":false,"publicationDate":"2025-10-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Brian W. 0000-0003-1716-1161","orcid":"https://orcid.org/0000-0003-1716-1161","contributorId":196603,"corporation":false,"usgs":true,"family":"Miller","given":"Brian","email":"","middleInitial":"W.","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":950405,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schuurman, Gregor W.","contributorId":362389,"corporation":false,"usgs":false,"family":"Schuurman","given":"Gregor","middleInitial":"W.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":950406,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carr, Wylie","contributorId":273040,"corporation":false,"usgs":false,"family":"Carr","given":"Wylie","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":950407,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lawrence, David J.","contributorId":362390,"corporation":false,"usgs":false,"family":"Lawrence","given":"David","middleInitial":"J.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":950408,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thurman, Lindsey 0000-0003-3142-4909","orcid":"https://orcid.org/0000-0003-3142-4909","contributorId":269425,"corporation":false,"usgs":true,"family":"Thurman","given":"Lindsey","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":950409,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bamzai-Dodson, Aparna 0000-0002-2444-9051","orcid":"https://orcid.org/0000-0002-2444-9051","contributorId":247300,"corporation":false,"usgs":true,"family":"Bamzai-Dodson","given":"Aparna","affiliations":[{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":950410,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brandt, Leslie A.","contributorId":205996,"corporation":false,"usgs":false,"family":"Brandt","given":"Leslie","email":"","middleInitial":"A.","affiliations":[{"id":37208,"text":"Northern Institute of Applied Climate Science, USDA Forest Service, Northern Research Station","active":true,"usgs":false}],"preferred":false,"id":950411,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Crausbay, Shelley D.","contributorId":362393,"corporation":false,"usgs":false,"family":"Crausbay","given":"Shelley","middleInitial":"D.","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":950412,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cross, Molly Elizabeth Smith 0000-0002-4238-9208","orcid":"https://orcid.org/0000-0002-4238-9208","contributorId":333954,"corporation":false,"usgs":true,"family":"Cross","given":"Molly","email":"","middleInitial":"Elizabeth Smith","affiliations":[{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":950413,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Eaton, Mitchell J. 0000-0001-7324-6333","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":213526,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":950414,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Janowiak, Maria K.","contributorId":362396,"corporation":false,"usgs":false,"family":"Janowiak","given":"Maria","middleInitial":"K.","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":950415,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Jones-Farrand, D. Todd","contributorId":362397,"corporation":false,"usgs":false,"family":"Jones-Farrand","given":"D.","middleInitial":"Todd","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":950416,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Reyes, Julian","contributorId":296960,"corporation":false,"usgs":false,"family":"Reyes","given":"Julian","affiliations":[{"id":64254,"text":"USDA Climate Hubs","active":true,"usgs":false}],"preferred":false,"id":950417,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70273250,"text":"70273250 - 2025 - Satellite assessment of winter cover crop and conservation tillage outcomes to support adaptive management in working landscapes","interactions":[],"lastModifiedDate":"2025-12-23T14:59:24.331062","indexId":"70273250","displayToPublicDate":"2025-10-21T07:44:22","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Satellite assessment of winter cover crop and conservation tillage outcomes to support adaptive management in working landscapes","docAbstract":"The use of winter cover crops and conservation tillage are agricultural practices promoted to reduce nutrient and sediment loss from cropland, improve soil health, increase infiltration, and support farm nutrient cycling and ecosystem services. However, environmental performance of these practices is variable in the working farm landscape. The Lower Chesapeake Bay research project within the USDA Long-Term Agroecosystem Research (LTAR) network has collaboratively developed satellite remote sensing algorithms to measure the performance and phenology of winter cover crops (aboveground biomass, nitrogen content, fractional cover, and emergence and termination dates) using no-cost Harmonized Landsat and Sentinel-2 multispectral satellite imagery. This research supports annual operational assessment of >28,000 fields per year in four states. Results document the impacts of agronomic management on conservation outcomes, support adaptive management of incentive payment structures, and can reduce the workload for conservation district staff by remotely verifying cover crop management. Additionally, super-spectral satellite applications have been developed to accurately map crop residue cover by measuring lignocellulose absorption in shortwave infrared wavelengths, producing a 7-year time series of tillage intensity maps for the Delmarva Peninsula. These remote sensing products can be used in decision support and modeling to estimate changes in nutrient, sediment, and carbon cycling resulting from conservation practice implementation in the working farm landscape. This manuscript provides an overview of remote sensing research findings and applications associated with the USDA LTAR and Conservation Effects Assessment Projects (CEAP), documenting a variety of previously published outcomes with update and expansion of techniques using additional unpublished data and analyses as appropriate.
","language":"English","publisher":"Wiley","doi":"10.1002/jeq2.70082","usgsCitation":"Hively, W.D., Gao, F., McCarty, G.W., Daughtry, C.S., Zhang, X., Jennewein, J., Thieme, A., Lamb, B.T., Keppler, J., Hapeman, C.J., Cosh, M., and Mirsky, S.B., 2025, Satellite assessment of winter cover crop and conservation tillage outcomes to support adaptive management in working landscapes: Journal of Environmental Quality, v. 54, no. 6, p. 1548-1571, https://doi.org/10.1002/jeq2.70082.","productDescription":"24 p.","startPage":"1548","endPage":"1571","ipdsId":"IP-174155","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":498052,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jeq2.70082","text":"Publisher Index Page"},{"id":497934,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Chesapeake Bay, Delmarva Peninsula","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.968001494542,\n 38.9830420903468\n ],\n [\n -76.13945750419632,\n 38.41949313855301\n ],\n [\n -75.79643857812154,\n 38.461896436666535\n ],\n [\n -75.63401655681334,\n 39.0636830303699\n ],\n [\n -75.968001494542,\n 38.9830420903468\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"54","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-10-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Hively, W. 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Theoretical and empirical studies suggest that the expression and magnitude of behavioral plasticity are likely facilitated or constrained primarily by two factors: environmental variation and endogenous traits such as body size. The contextual role of these factors on behavioral plasticity, however, is poorly understood; there are relatively few studies that have compared the magnitude and potential drivers of behavioral plasticity at different levels (i.e., population and individual) across species, especially in free-ranging animals with diverse behavioral traits such as large mammals. Here, we quantify and test potential hypotheses for the mechanisms underpinning behavioral plasticity at the individual and population level in response to variation in summer temperatures for 1068 animal-years in 17 populations across nine species of large mammals. All populations displayed behavioral plasticity in response to increased temperatures, modifying their relative selection for heat-relieving habitat attributes (e.g., elevation) and heat-generating behavior (i.e., movement speed). We found strong support for the hypothesis that the variability of the physical environment is an important driver of behavioral plasticity—both mean population behavioral plasticity and variation among individuals within each population in plasticity were lower with increased heterogeneity of habitat attributes such as tree cover. Yet, the variability in environmental conditions (i.e., the magnitude of the temperature increase) had no effect on behavioral plasticity within and among populations. We did not detect an effect of endogenous traits on the expression of behavioral plasticity; however, we note that data availability limited our tests of this hypothesis to a select few endogenous traits (body size, feeding guild, and sex of the tracked individuals) that predominantly vary at the species level, for which we had one to three replicate populations per species. Our results provide an integrative and generalizable understanding of the expression of behavioral plasticity among populations of large mammals in temperate environments and emphasize the important but nuanced role of environmental variation in determining the scope of behavioral plasticity in these populations.
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Climate and land cover change have altered how dissolved Si (DSi) is processed on land, transported to rivers, and cycled through aquatic ecosystems. The Global Aggregation of Stream Silica (GlASS) database was constructed to assess changes in river Si concentrations and fluxes, their relationship to other nutrients (nitrogen (N) and phosphorus (P)), and to evaluate mechanisms driving the availability of Si. GlASS includes concentrations of DSi, dissolved inorganic N (NO3, NOx, and NH4), and dissolved inorganic P (as soluble reactive P or PO4-P) at daily to quarterly time steps from 1963 to 2024; daily discharge; and watershed characteristics for 421 rivers spanning eight climate zones. Original data sources are cited, data quality assurance workflows are public, and input files to a common load model are provided. GlASS offers critical data to address questions about patterns, controls, and trajectories of global river Si biogeochemistry and stoichiometry.
","language":"English","publisher":"Nature","doi":"10.1038/s41597-025-05937-2","usgsCitation":"Jankowski, K.J., Johnson, K., Lyon, N., Bush, S.A., Julian, P., Sethna, L.R., McKnight, D.M., McDowell, W.H., Wymore, A.S., Kortelainen, P., Laudon, H., Heindel, R.C., Poste, A., Shogren, A.J., Worrall, F., Mosley, L., Sullivan, P.L., and Carey, J.C., 2025, GlASS - Global Aggregation of Stream Silica: Scientific Data, v. 12, 1658, 12 p., https://doi.org/10.1038/s41597-025-05937-2.","productDescription":"1658, 12 p.","ipdsId":"IP-170409","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":497084,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41597-025-05937-2","text":"Publisher Index 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,{"id":70274022,"text":"70274022 - 2025 - Red spruce forest stand structure and Virginia northern flying squirrel habitat suitability","interactions":[],"lastModifiedDate":"2026-02-20T15:26:36.787455","indexId":"70274022","displayToPublicDate":"2025-10-20T09:24:53","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2043,"text":"International Journal of Forestry Research","active":true,"publicationSubtype":{"id":10}},"title":"Red spruce forest stand structure and Virginia northern flying squirrel habitat suitability","docAbstract":"The Virginia northern flying squirrel (Glaucomys sabrinus fuscus; VNFS) is a rare, Pleistocene-relict, disjunct subspecies of the northern flying squirrel. The squirrel occurs only in high-elevation red spruce (Picea rubens) forests of the central Appalachian Mountains of Virginia and West Virginia—a forest type that was substantially reduced by exploitative logging and wildfire in the 1890s–1930. Owing to its cryptic nature and difficulty of capture, managers have relied on an evolving series of predicted habitat suitability models that primarily have used topographic measures and red spruce cover class to assess potential occupancy on the landscape. Currently, VNFS is considered the sentinel species in the region whereby its predicted presence indicates red spruce forests with higher relative habitat integrity, and unsuitable habitat highlights where red spruce restoration or enhancement should occur. However, extant VNFS models only use red spruce percent composition and do not provide insights into forest structure, such as forest canopy height or basal area, that are needed by managers to implement restoration or assess effectiveness. We examined recent historical VNFS observations from nest-box surveys and radiotelemetry data (natural dens and foraging points) relative to random pseudoabsence points across red spruce cover classes from the most current VNFS predicted probability habitat model. Using generalized linear models in an information-theoretic approach, we found that within each red spruce composition class, suitable VNFS habitat was related to increased forest canopy height (m), basal area (m2·ha−1), quadratic mean diameter (cm), and stem density (number of trees ha−1), indicating that, within red spruce and mixed red spruce–northern hardwood forests, VNFS is associated most with mature forest conditions. Accordingly, our results could be recombined with habitat suitability models to prioritize where, for example, red spruce forest structural enhancement would facilitate shifting a given stand to a higher probability condition for VNFS use.
","language":"English","publisher":"Wiley","doi":"10.1155/ijfr/4526136","usgsCitation":"Humbert, T.R., McKellips, A.W., Carter, D.R., Green, P.C., De La Cruz, J.L., Diggins, C.A., Ford, W., 2025, Red spruce forest stand structure and Virginia northern flying squirrel habitat suitability: International Journal of Forestry Research, v. 2025, 4526136, 9 p., https://doi.org/10.1155/ijfr/4526136.","productDescription":"4526136, 9 p.","ipdsId":"IP-180938","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":500828,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1155/ijfr/4526136","text":"Publisher Index Page"},{"id":500341,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia, West Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -78,\n 39.5833\n ],\n [\n -80.833,\n 39.5833\n ],\n [\n -80.833,\n 37.9167\n ],\n [\n -78,\n 37.9167\n ],\n [\n -78,\n 39.5833\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"2025","noUsgsAuthors":false,"publicationDate":"2025-10-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Humbert, Tanner R.","contributorId":366758,"corporation":false,"usgs":false,"family":"Humbert","given":"Tanner","middleInitial":"R.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":956186,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKellips, Abigail W.","contributorId":366759,"corporation":false,"usgs":false,"family":"McKellips","given":"Abigail","middleInitial":"W.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":956187,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carter, David R.","contributorId":366863,"corporation":false,"usgs":false,"family":"Carter","given":"David","middleInitial":"R.","affiliations":[],"preferred":false,"id":956333,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Green, P. Corey","contributorId":366760,"corporation":false,"usgs":false,"family":"Green","given":"P.","middleInitial":"Corey","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":956188,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"De La Cruz, Jesse L.","contributorId":366761,"corporation":false,"usgs":false,"family":"De La Cruz","given":"Jesse","middleInitial":"L.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":956189,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Diggins, Corinne A.","contributorId":366762,"corporation":false,"usgs":false,"family":"Diggins","given":"Corinne","middleInitial":"A.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":956190,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. 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Although this can be a cost-effective reuse/disposal practice, there is limited research on the potential for contaminant exposures and effects on ecosystems, wildlife, and human health from such land applications. In this study, we conducted extensive chemical, microbial, and toxicity analyses of biosolid, livestock, and drilling wastes just prior to land application on agricultural lands at 34 sites across the U.S. Twenty-two analytical methods were used to determine potential contaminant exposures profiles for 452 organic and 114 inorganic chemicals, nine microbial groups, estrogenicity, and cytotoxicity. Analytical results document unique and substantial chemical, microbial, and toxicity profiles for these land-applied wastes. Of the three waste byproducts, biosolids contained the greatest concentrations of household chemicals, pesticides, pharmaceuticals, per-/polyfluoroalkyl substances, calcium, and phosphorus. Livestock waste contained the greatest concentrations of total and leachable dissolved organic carbon, biogenic hormones, mycotoxins, plant estrogens, total inorganic nitrogen, and potassium. Drilling waste contained the greatest concentrations of BTEX compounds (benzene, toluene, ethylbenzene, and xylenes), polycyclic aromatic hydrocarbons, rare-earth elements, barium, strontium, and uranium–thorium series radioisotopes. Biosolid and livestock wastes had greater culturable heterotrophic bacteria, halophilic bacteria, Escherichia coli (E. coli), enterococci, and staphylococci concentrations, and greater microbial diversity than drilling waste. Bioassay analyses indicated that exposure to contaminants in livestock wastes and biosolids could result in estrogenic effects, whereas exposure to contaminants in drilling waste could result in cytotoxic effects. Our study documents that current reuse/disposal practices for biosolid, livestock, and drilling wastes on agricultural lands could provide a potential pathway for the redistribution of unique and complex contaminant mixtures into the environment that have bioactive, endocrine disrupting, and carcinogenic characteristics. Results of this study provide a snapshot of chemical compositions and concentrations that can be used to inform the development of best-management practices to help maximize beneficial reuse of these wastes and minimize risk to the environment and human health.
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Masting is typically adaptive and driven by weather cues that synchronize reproduction by promoting or suppressing flowering and seed set. These cues, involving temperature, precipitation, and drought, differ across species and regions, yet a global synthesis is needed. Understanding such patterns is crucial, as reproductive responses to climate interact with resource constraints to shape plant fitness under climate change. Here, we analyze climate-reproduction relationships in 746 populations of 331 species worldwide using moving-window methods. We find that temperature is the dominant cue for reproductive investment, though its influence is weaker in the wettest and driest climates. In temperate and boreal regions, reproduction is most often linked to warmer conditions, whereas in the tropics, reproduction is disproportionately linked to cooler temperatures. Therefore, we expect rising temperatures to increase reproductive failures in the tropics, but to reduce interannual variability in temperate and boreal zones as favorable cues become more frequent. These results confirm long-standing theoretical predictions and provide a global framework for evaluating climate change risks to mast seeding.
","language":"English","publisher":"Nature","doi":"10.1038/s41467-025-64300-6","usgsCitation":"Journé, V., Kelly, D., Hacket-Pain, A., Pearse, I.S., Szymkiowak, J., Foest, J., Kondrat, K., Oberklammer, I., Pesendorfer, M.B., Satake, A., and Bogdziewicz, M., 2025, Weather drivers of reproductive variability in perennial plants and their implications for climate change risks: Nature Communications, v. 16, 9226, 12 p., https://doi.org/10.1038/s41467-025-64300-6.","productDescription":"9226, 12 p.","ipdsId":"IP-173182","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":497398,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-025-64300-6","text":"Publisher Index Page"},{"id":497193,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","noUsgsAuthors":false,"publicationDate":"2025-10-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Journé, Valentin","contributorId":268830,"corporation":false,"usgs":false,"family":"Journé","given":"Valentin","affiliations":[{"id":55686,"text":"U Grenoble","active":true,"usgs":false}],"preferred":false,"id":951701,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelly, Dave","contributorId":343740,"corporation":false,"usgs":false,"family":"Kelly","given":"Dave","email":"","affiliations":[{"id":67171,"text":"U Canterbury","active":true,"usgs":false}],"preferred":false,"id":951702,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hacket-Pain, Andrew","contributorId":343772,"corporation":false,"usgs":false,"family":"Hacket-Pain","given":"Andrew","email":"","affiliations":[{"id":65475,"text":"U Liverpool","active":true,"usgs":false}],"preferred":false,"id":951703,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearse, Ian S. 0000-0001-7098-0495","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":216680,"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":951704,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Szymkiowak, Jakob","contributorId":363458,"corporation":false,"usgs":false,"family":"Szymkiowak","given":"Jakob","affiliations":[{"id":80207,"text":"Adam Mickiewicz University","active":true,"usgs":false}],"preferred":false,"id":951705,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Foest, Jessie","contributorId":302414,"corporation":false,"usgs":false,"family":"Foest","given":"Jessie","email":"","affiliations":[{"id":65475,"text":"U Liverpool","active":true,"usgs":false}],"preferred":false,"id":951706,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kondrat, Katarzyna","contributorId":343756,"corporation":false,"usgs":false,"family":"Kondrat","given":"Katarzyna","email":"","affiliations":[{"id":80207,"text":"Adam Mickiewicz University","active":true,"usgs":false}],"preferred":false,"id":951707,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Oberklammer, Iris","contributorId":343761,"corporation":false,"usgs":false,"family":"Oberklammer","given":"Iris","email":"","affiliations":[{"id":82187,"text":"BOKU Vienna","active":true,"usgs":false}],"preferred":false,"id":951708,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pesendorfer, Mario B.","contributorId":201187,"corporation":false,"usgs":false,"family":"Pesendorfer","given":"Mario","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":951709,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Satake, Akiko","contributorId":343765,"corporation":false,"usgs":false,"family":"Satake","given":"Akiko","email":"","affiliations":[{"id":82188,"text":"Kyushu U","active":true,"usgs":false}],"preferred":false,"id":951710,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bogdziewicz, Michal","contributorId":256849,"corporation":false,"usgs":false,"family":"Bogdziewicz","given":"Michal","email":"","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":951711,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70272454,"text":"70272454 - 2025 - Rare earth element-mineralized carbonatite in the Bear Lodge Alkaline Complex, USA—Ore genesis implications from fluid inclusion characterization","interactions":[],"lastModifiedDate":"2025-11-21T19:21:24.700308","indexId":"70272454","displayToPublicDate":"2025-10-17T08:54:42","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":732,"text":"American Journal of Science","active":true,"publicationSubtype":{"id":10}},"title":"Rare earth element-mineralized carbonatite in the Bear Lodge Alkaline Complex, USA—Ore genesis implications from fluid inclusion characterization","docAbstract":"Rare earth element (REE) resources of the Bear Lodge Alkaline Complex, Wyoming, are hosted in variably leached carbonatite spatially related to diatreme breccia pipes. We investigated the genesis of REE and lesser-known gold resources through fluid inclusion analysis of carbonatite, fluorite breccia, and smoky quartz vein samples. Physicochemical characteristics of inclusion-trapped fluids were evaluated using petrography, microthermometry, Raman spectroscopy, decrepitate mound analysis, energy-dispersive spectroscopy, laser ablation inductively coupled plasma mass spectrometry, and noble gas isotope analysis.
Microthermometry results reveal three fluid types that affected carbonatite dikes within deeper zones that escaped near-surface, ore-grade REE enrichment: (1) high-temperature (330–432°C) magmatic fluid captured in fine-grained calcite; (2) REE-enriched alkali bicarbonate-sulfate brine; and (3) low-temperature (117–182°C) diluted magmatic or meteoric water. Multiphase brine-like inclusions contain burbankite, nahcolite, strontianite, celestine and alkali sulfate daughter crystals, linking them to early burbankite mineralization. Peripheral smoky quartz and fluorite occurrences at Smith Ridge, 1.5 km from the central carbonatite dike swarm, contain primary inclusions that are Cl-poor and rich in Na-HCO3-SO4, similar to secondary and pseudosecondary inclusions in carbonatites. Helium isotopes reveal a MORB-like source for carbonatite samples and an older crust signature at Smith Ridge, consistent with the proximal ridge-top exposures of Archean granite.
Results from this fluid inclusion study coupled with previous studies of carbonatite mineral paragenesis, show that light REEs (LREEs) were not mobilized great distances. Instead, burbankite crystallized within carbonatite from alkali bicarbonate fluids. With sodium retained in early burbankite, outward-emanating fluids enriched in potassium relative to sodium (higher K:Na) resulted in potassium–ferric iron metasomatism of silicate host rocks. This alkali fractionation was accompanied by fractionation of LREEs and heavy REEs (HREEs), with LREEs dominating the central carbonatite resources. In contrast, areas of peripheral REE mineralization at Bear Lodge are commonly characterized by higher HREE:LREE ratios. The K:Na ratio of associated fenites or alteration assemblages could be indicative of early crystallized burbankite in carbonatites and REE fractionation processes potentially leading to areas of concentrated HREEs with greater supply vulnerabilities.
","language":"English","publisher":"American Journal of Science","doi":"10.2475/001c.143992","usgsCitation":"Andersen, A.K., Olinger, D., and Bennett, M.M., 2025, Rare earth element-mineralized carbonatite in the Bear Lodge Alkaline Complex, USA—Ore genesis implications from fluid inclusion characterization: American Journal of Science, v. 325, 13, 30 p., https://doi.org/10.2475/001c.143992.","productDescription":"13, 30 p.","ipdsId":"IP-175385","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":496927,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2475/001c.143992","text":"Publisher Index Page"},{"id":496794,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota, Wyoming","otherGeospatial":"Bear Lodge Alkaline Complex","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -109.73004963771243,\n 44.08376961090204\n ],\n [\n -109.73004963771243,\n 43.03710902132369\n ],\n [\n -99.73805313605138,\n 43.03710902132369\n ],\n [\n -99.73805313605138,\n 44.08376961090204\n ],\n [\n -109.73004963771243,\n 44.08376961090204\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"325","noUsgsAuthors":false,"publicationDate":"2025-10-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Andersen, Allen K. 0000-0002-6865-2561","orcid":"https://orcid.org/0000-0002-6865-2561","contributorId":217476,"corporation":false,"usgs":true,"family":"Andersen","given":"Allen","email":"","middleInitial":"K.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":950815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olinger, Danielle A. 0000-0001-8375-5852 dolinger@usgs.gov","orcid":"https://orcid.org/0000-0001-8375-5852","contributorId":201968,"corporation":false,"usgs":true,"family":"Olinger","given":"Danielle A.","email":"dolinger@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":950816,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bennett, Mitchell M. 0000-0001-9533-9557 mbennett@usgs.gov","orcid":"https://orcid.org/0000-0001-9533-9557","contributorId":199379,"corporation":false,"usgs":true,"family":"Bennett","given":"Mitchell","email":"mbennett@usgs.gov","middleInitial":"M.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":950817,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70272766,"text":"70272766 - 2025 - Do bighorn sheep use desert tortoise burrow spoil piles as mineral licks in southern California?","interactions":[],"lastModifiedDate":"2025-12-08T16:21:04.403623","indexId":"70272766","displayToPublicDate":"2025-10-16T10:15:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1092,"text":"Bulletin, Southern California Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Do bighorn sheep use desert tortoise burrow spoil piles as mineral licks in southern California?","docAbstract":"In a previous study, bighorn sheep (Ovis canadensis) were periodically photographed by trail cameras when they visited desert tortoise (Gopherus agassizii) burrows in the San Bernardino Mountains near Palm Springs, California, USA. The authors suggested that bighorn sheep may utilize the excavated spoil material from burrows as a mineral lick. To test that supposition, we collected soil samples from the spoil piles and undisturbed surface soil up to 1 m away at two desert tortoise study sites with bighorn sheep at the aforementioned site and another nearby site. We hypothesized that sodium concentrations would be greater in spoil than in nearby surface soil samples. Common major cations were quantified in soil samples using inductively coupled plasma-mass spectrometry following microwave-assisted digestion to solubilize the fraction of elements that could become biologically or environmentally available. Mean sodium concentrations were greater in burrow spoil samples than in undisturbed soil samples at both sites, likely due to aqueous leaching of sodium from surface to subsurface soil horizons. Although we did not collect evidence of geophagy by bighorn sheep, the behavior is well known. However, trail camera photographs of bighorn sheep with their head next to the entrance of tortoise burrows suggests that they may periodically utilize sodium and other elements brought to the surface by desert tortoises that are otherwise unavailable to bighorn sheep on the surface.
","language":"English","publisher":"Southern California Academy of Sciences","doi":"10.3160/0038-3872-124.2.55","collaboration":"Bureau of Land Management, Coachella Valley Conservation Commission","usgsCitation":"Lovich, J.E., Cleveland, D.M., Yackulic, C., Cummings, K.L., Puffer, M.R., Bechtel, M.J., Tracy, C.R., Hoese, W.J., Avila, G., Peukert, M., and Hubbard, S., 2025, Do bighorn sheep use desert tortoise burrow spoil piles as mineral licks in southern California?: Bulletin, Southern California Academy of Sciences, v. 124, no. 2, p. 55-66, https://doi.org/10.3160/0038-3872-124.2.55.","productDescription":"12 p.","startPage":"55","endPage":"66","ipdsId":"IP-165518","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":497198,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Palm Springss","otherGeospatial":"San Bernardino Mountains","volume":"124","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":951642,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cleveland, Danielle M. 0000-0003-3880-4584 dcleveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3880-4584","contributorId":187471,"corporation":false,"usgs":true,"family":"Cleveland","given":"Danielle","email":"dcleveland@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":951643,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":951644,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cummings, Kristy L. 0000-0002-8316-5059","orcid":"https://orcid.org/0000-0002-8316-5059","contributorId":202061,"corporation":false,"usgs":true,"family":"Cummings","given":"Kristy","email":"","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":951645,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Puffer, Michele R. 0000-0003-4957-0963","orcid":"https://orcid.org/0000-0003-4957-0963","contributorId":225575,"corporation":false,"usgs":true,"family":"Puffer","given":"Michele","email":"","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":951646,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bechtel, Molly J.","contributorId":363413,"corporation":false,"usgs":false,"family":"Bechtel","given":"Molly","middleInitial":"J.","affiliations":[{"id":86695,"text":"College of Integrative Sciences and Arts, Arizona State University, 6073 S. Backus Mall, Mesa, Arizona","active":true,"usgs":false}],"preferred":false,"id":951647,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tracy, Christopher R.","contributorId":363414,"corporation":false,"usgs":false,"family":"Tracy","given":"Christopher","middleInitial":"R.","affiliations":[{"id":86697,"text":"Philip L. 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However, due to the complexity of contributing factors such as multiple introductions, dispersal method, genetic admixture in founding populations, and variable propagule pressure, genetic patterns observed in invasive species may not always conform to a single theoretical expectation. Cuban treefrogs (Osteopilus septentrionalis) are invasive in peninsular Florida and sporadically in the Florida panhandle. Though O. septentrionalis has been occasionally reported in Louisiana since the 1990s, established populations were not present until the discovery of a breeding population in New Orleans in 2017. In this study we investigated the source of this novel population using existing and newly generated cytochrome B (cyt-b) mitochondrial gene sequences from the native and invasive range of O. septentrionalis. We recovered a total of 14 cyt-b haplotypes, nine novel and five previously published. Within the 95 Louisiana invasion samples, we recovered seven haplotypes including five novel haplotypes. The haplotypes most common in Louisiana were shared exclusively with west and east Florida localities in central Florida, indicating a possible source population. The presence of haplotypes private to the Louisiana locality suggests other unsampled localities may also be contributing to the Louisiana settlement. Metrics of genetic diversity across native and invasive localities did not significantly differ. Furthermore, the Louisiana samples had higher genetic diversity than any single location sampled within Florida. Thus, genetic diversity and our haplotype connectivity suggest the Louisiana population is derived from multiple introductions from Florida. Our study highlights how demographic and genetic analyses can be utilized to understand the source and future expansion potential of invasive populations.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/famrs.2025.1646714","usgsCitation":"Brosnan, E.B., Paniagua Torres, K.A., Martin, K.R., Atkinson, M.S., Glorioso, B., Waddle, H., Mendyk, R.W., and Savage, A.E., 2025, Tracing invasion routes of Cuban treefrogs into Louisiana using mitochondrial DNA: Frontiers in Amphibian and Reptile Science, v. 3, 1646714, 13 p., https://doi.org/10.3389/famrs.2025.1646714.","productDescription":"1646714, 13 p.","ipdsId":"IP-180577","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":497742,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/famrs.2025.1646714","text":"Publisher Index Page"},{"id":497673,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": 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through diel vertical migration at the ecosystem scale","title":"Quantifying benthic flux of Mysis biomass through diel vertical migration at the ecosystem scale","docAbstract":"Mysis diluviana is a macroinvertebrate that couples benthic and pelagic habitats on a daily timescale through diel vertical migration (DVM). However, quantifying how much Mysis biomass is exchanged between benthic and pelagic habitats at an ecosystem scale is difficult because of sampling limitations and variability in Mysis DVM behavior related to light and depth. Although Mysis are benthic-pelagic migrators, a portion remains pelagic during the day offshore in Lake Ontario, partially contradicting the assumption of population-level DVM over deep areas. To estimate the amount of biomass transferred from benthic to pelagic habitat via DVM in Lake Ontario, we estimated the portion of pelagic biomass at night originating from benthic habitat as the difference between night and day pelagic estimates from net tows along a bathymetric depth gradient. We then modeled the portion as a function of depth, extrapolated these depth-dependent estimates to an existing lake wide night-pelagic dataset, and summed amounts across depth strata. We estimated more biomass was transferred from benthic to pelagic habitat at intermediate lake depths (100–160 m) despite greater offshore (> 180 m) night-pelagic biomass. Our results suggest ways to improve estimates of Mysis habitat coupling and how to account for important factors such as depth and light for modeling Mysis DVM behavior at the population- and ecosystem-levels.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s10021-025-01015-1","usgsCitation":"O’Malley, B., Hoffman, G.W., Chapina, R.J., Stockwell, J.D., and Farrell, C.J., 2025, Quantifying benthic flux of Mysis biomass through diel vertical migration at the ecosystem scale: Ecosystems, v. 28, 67, 13 p., https://doi.org/10.1007/s10021-025-01015-1.","productDescription":"67, 13 p.","ipdsId":"IP-167376","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":496727,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10021-025-01015-1","text":"Publisher Index Page"},{"id":496554,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Ontario","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -79.61072712278828,\n 43.75409616423798\n ],\n [\n -79.97779309400795,\n 43.164112982755455\n ],\n [\n -76.39135259634553,\n 43.23247864987255\n ],\n [\n -75.98504893915495,\n 43.96806881864106\n ],\n [\n -76.35610083371708,\n 44.349259569402875\n ],\n [\n -79.61072712278828,\n 43.75409616423798\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"28","noUsgsAuthors":false,"publicationDate":"2025-10-16","publicationStatus":"PW","contributors":{"authors":[{"text":"O’Malley, Brian 0000-0001-5035-3080 bomalley@usgs.gov","orcid":"https://orcid.org/0000-0001-5035-3080","contributorId":216560,"corporation":false,"usgs":true,"family":"O’Malley","given":"Brian","email":"bomalley@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":950100,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoffman, Georgia Wende 0000-0002-9769-0436","orcid":"https://orcid.org/0000-0002-9769-0436","contributorId":334262,"corporation":false,"usgs":true,"family":"Hoffman","given":"Georgia","email":"","middleInitial":"Wende","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":950101,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chapina, Rosaura J.","contributorId":362141,"corporation":false,"usgs":false,"family":"Chapina","given":"Rosaura","middleInitial":"J.","affiliations":[{"id":86479,"text":"Univ of Vermont","active":true,"usgs":false}],"preferred":false,"id":950102,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stockwell, Jason D.","contributorId":362142,"corporation":false,"usgs":false,"family":"Stockwell","given":"Jason","middleInitial":"D.","affiliations":[{"id":86479,"text":"Univ of Vermont","active":true,"usgs":false}],"preferred":false,"id":950103,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Farrell, Collin J.","contributorId":362143,"corporation":false,"usgs":false,"family":"Farrell","given":"Collin","middleInitial":"J.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":950104,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70272149,"text":"70272149 - 2025 - Emerging investigator series: Post-wildfire sediment geochemical characterization reveals manganese reactivity and a potential link to water quality impairment in the Gallinas Creek watershed, New Mexico","interactions":[],"lastModifiedDate":"2025-11-18T15:18:48.890592","indexId":"70272149","displayToPublicDate":"2025-10-16T09:12:45","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1566,"text":"Environmental Science: Processes and Impacts","active":true,"publicationSubtype":{"id":10}},"title":"Emerging investigator series: Post-wildfire sediment geochemical characterization reveals manganese reactivity and a potential link to water quality impairment in the Gallinas Creek watershed, New Mexico","docAbstract":"Water quality post-wildfire is often impaired by increased turbidity and elevated concentrations of elements such as manganese (Mn) and iron (Fe). Precipitation events exacerbate these issues, due in part to increased erosion and transport of sediment from hillslopes to surface water. Both Mn and Fe are major redox-active elements in sediments that drive a variety of biogeochemical cycles, precipitate adsorptive phases, and can themselves be drinking water contaminants. By investigating Mn and Fe sediment geochemistry in post-wildfire sediment deposits, related water quality hazards can be assessed. To establish and strengthen this connection, we analyzed the geochemistry of sediment deposits and surface water in the Gallinas Creek watershed, New Mexico over 1.5 years post-wildfire. Analyses included particle size analysis, water extractions, sequential extractions and aqua regia extractions to determine metal partitioning in sediment deposits. Data demonstrate Mn concentrations were distributed across labile and reactive fractions, such as the exchangeable and oxyhydroxide fractions, while Fe concentrations were mainly associated with the residual fraction. Manganese concentrations in aqua regia extractions and several fractions of sequential extractions were also strongly and significantly correlated with fine-grained sediment while the same pools of Fe concentrations were not. Dissolved Mn concentrations in surface water were elevated (>50 μg L−1) multiple times over the 1.5 years post-wildfire, highlighting a relationship between sediment geochemistry and water quality. This work shows Mn in sediments mobilized post-wildfire has an influence on water quality and highlights how further investigation into Mn sediment redox processes and mineralogy post-wildfire can inform risk assessments and resource management.
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We conducted comprehensive field surveys across the major drainages of northwestern Baja California to delineate the species' current distribution, identify critical threats to its persistence, and provide guidance for conservation actions. We documented the continued presence of A. pallida at 27 sites across 10 watersheds, ranging from sea level to 1,525 m in elevation. These include nine historically known sites and 18 newly recorded localities. The most pervasive threats we identified were habitat degradation, the proliferation of invasive aquatic species, and unsustainable water extraction. Despite these pressures, our findings confirm that A. pallida still occupies much of its historical range. However, urgent ecological research is needed to inform evidence-based strategies that ensure the long-term viability of this imperiled species.
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