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Regulatory mandates to improve water quality and stream health have driven substantial investment in stream restoration. Most projects aim to improve channel-floodplain connectivity, reduce sediment erosion, and enhance habitat for aquatic organisms, yet few include adequate pre- and post-restoration monitoring to assess outcomes. Since 2007, Fairfax County, Virginia, and the U.S. Geological Survey have partnered to monitor and evaluate water-quality conditions in Flatlick Branch. In 2018, a 1.72-km reach of stream above the monitoring station was restored using a Natural Channel Design approach. This study applied the Stream Functions Pyramid (SFP) framework to evaluate restoration tradeoffs. Post-restoration, watershed hydrology remained largely unchanged, but channel modifications increased flow capacity, reduced velocity, and further disconnected the channel from the floodplain. Nutrient and sediment reductions exceeded expected amounts, but the removal of over 20 % of riparian tree canopy increased physicochemical variability and the frequency and magnitude of water temperature heatwaves. Post-restoration, state standards for low dissolved oxygen and elevated pH were exceeded 2.5 and 7.5 times more often, respectively. Gross primary production and ecosystem respiration increased and organic matter sources supporting metabolism shifted from allochthonous to autochthonous. Trends in several benthic macroinvertebrate metrics, which were improving prior to construction, have since plateaued or declined, and the fish assemblage shifted from a native minnow dominated community to non-native, warmwater tolerant taxa. This study highlights the need for comprehensive assessments of stream restoration and benefits of using the SFP to understand the consequences and possible tradeoffs of different ecosystem management decisions.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2025.107866","usgsCitation":"Porter, A.J., Ruck, C.M., and Tassone, S.J., 2026, Environmental tradeoffs of urban stream restoration in Fairfax County, Virginia: Ecological Engineering, v. 224, 107866, 21 p., https://doi.org/10.1016/j.ecoleng.2025.107866.","productDescription":"107866, 21 p.","ipdsId":"IP-179952","costCenters":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":497417,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoleng.2025.107866","text":"Publisher Index Page"},{"id":497191,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","county":"Fairfax 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Aaron J. 0000-0002-0781-3309","orcid":"https://orcid.org/0000-0002-0781-3309","contributorId":239980,"corporation":false,"usgs":true,"family":"Porter","given":"Aaron","email":"","middleInitial":"J.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruck, Christopher M.","contributorId":363394,"corporation":false,"usgs":false,"family":"Ruck","given":"Christopher","middleInitial":"M.","affiliations":[{"id":86691,"text":"Fairfax County Department of Public Works and Environmental Services","active":true,"usgs":false}],"preferred":false,"id":951599,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tassone, Spencer John 0000-0002-9340-7170","orcid":"https://orcid.org/0000-0002-9340-7170","contributorId":363395,"corporation":false,"usgs":true,"family":"Tassone","given":"Spencer","middleInitial":"John","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":951600,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70273406,"text":"70273406 - 2026 - Seed coating treatments alter emergence windows of native Intermountain West U.S. grasses under different regimes of water availability","interactions":[],"lastModifiedDate":"2026-02-09T16:22:21.286365","indexId":"70273406","displayToPublicDate":"2025-12-05T08:27:54","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Seed coating treatments alter emergence windows of native Intermountain West U.S. grasses under different regimes of water availability","docAbstract":"

Introduction

Seed-based restoration is widely implemented to recover degraded lands but often fails. Seed enhancement technologies may improve outcomes by shifting emergence to target favorable climate windows and serving as a bet-hedging strategy against increasingly variable precipitation patterns.

Objectives

To test the potential benefit of these technologies, we applied seed coatings designed to accelerate or delay emergence to four native Intermountain West perennial grasses that are commonly used for restoration.

Methods

We subjected seeds to six different watering regimes in the greenhouse that represented variation in precipitation timing and amount and compared the emergence, growth, and biomass of coated and uncoated seedlings.

Results

Seed coating designed to accelerate germination strongly increased emergence in species with high dormancy requirements, while seed coating designed to delay germination decreased emergence in species with low dormancy by about half and postponed emergence by up to 15 days. These coatings altered emergence timing regardless of watering regime, suggesting that seed coating could expand emergence windows under variable precipitation regimes. Seedling growth and total biomass were less dependent on seed coating and were more driven by the average amount of soil moisture provisioned to the developing plant. While seed coating designed to accelerate germination increased the emergence of two grass species, growth decreased during late periods of water availability, suggesting a trade-off in seedling performance.

Conclusions

Our results show promise for seed coatings to shift windows of emergence, but further field testing could improve our understanding of their effects in restoration settings.

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Groundwater is increasingly needed for water supplies but may have limited utility in some locations because of its salinity. Salinity, often expressed as total dissolved solid (TDS), is frequently estimated using specific conductance (SC) measurements. However, the commonly used proxy (0.65 multiplied by SC to indicate TDS, common in many handheld meters) can result in inaccurate TDS estimates. First, the TDS–SC relationship is not linear over the entire concentration range of groundwater. Furthermore, the TDS (and salinity)–SC relationships vary substantially depending on the major-ion composition. Here we develop a proxy method utilizing SC and major-ion water type to estimate TDS and salinity specifically for groundwaters. Compared to most surface waters, groundwater tends to have a wider range of salinity (fresh to highly saline) and higher concentrations of bedrock-derived solutes such as carbonate ions, silica, and many other ions. The dataset used to develop the proxies includes water chemistry data from 149,059 discrete groundwater samples. The groundwater proxies, which employ nonlinear log–log relations, utilize five water types (HCO3, Cl, Ca-Mg-SO4, Na-K-SO4, and mixed waters), are accurate (median percent difference between TDS and salinity determined using the proxy compared to discrete measurements was <±0.8%) over a wide range of SC (up to 200 mS/cm), rapid, cost-effective, and can be measured on-site.

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Although coastal ecosystems are impacted by climate change and sea-level rise, many ecological and hydrological models do not yet incorporate sea-level rise projections in their modeling outputs. Therefore, this research examined the various challenges that may prevent sea-level rise from being effectively incorporated in modeling and decision-support tools. We conducted semi-structured interviews with twenty-six professionals involved in Florida’s Everglades restoration. We applied the Diffusions of Innovations Theory to better understand factors that can impact practitioners’ adoption of newly designed decision-support tools that examine sea-level rise in the freshwater Everglades. The Diffusions of Innovations Theory provided insights into practitioners’ perceptions of these tools. We found that these practitioners have a strong interest in using dynamic decision-support tools to plan for sea-level rise impacts on Everglades restoration, particularly when they receive information at appropriate geographic and temporal scales and are given hands-on tools and training. However, challenges that prevent developing these tools include outdated data, limited organizational capacity and funding, limited use of long-term indicators, uncertainty about climate change impacts on local ecosystems, and lack of integration between hydrological and ecological models. Our research also highlights that greater availability of different types of tools can help to meet the needs of the scientific and non-scientific audiences involved in Everglades restoration.

","language":"English","publisher":"Springer","doi":"10.1007/s00267-025-02320-0","usgsCitation":"Castellano, S., Clarke, M., D’Acunto, L., Romanach, S., and Cadaval, S., 2026, Restoring the Florida Everglades: Insights on integrating sea level rise into decision-support tools: Environmental Management, v. 76, 28, 16 p., https://doi.org/10.1007/s00267-025-02320-0.","productDescription":"28, 16 p.","ipdsId":"IP-178284","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":497721,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00267-025-02320-0","text":"Publisher Index Page"},{"id":497522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -81.69704710537333,\n 26.24594963141459\n ],\n [\n -81.83007585797539,\n 26.06420285323432\n ],\n [\n -81.11975251860886,\n 25.0512667434422\n ],\n [\n -80.33663986178148,\n 25.19217542692222\n ],\n [\n -80.18604127393009,\n 26.735626731938453\n ],\n [\n -81.69704710537333,\n 26.24594963141459\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"76","noUsgsAuthors":false,"publicationDate":"2025-12-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Castellano, Stephanie","contributorId":353362,"corporation":false,"usgs":false,"family":"Castellano","given":"Stephanie","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":952300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clarke, Mysha","contributorId":353361,"corporation":false,"usgs":false,"family":"Clarke","given":"Mysha","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":952301,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"D’Acunto, Laura 0000-0001-6227-0143","orcid":"https://orcid.org/0000-0001-6227-0143","contributorId":215343,"corporation":false,"usgs":true,"family":"D’Acunto","given":"Laura","email":"","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":952302,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Romañach, Stephanie S. 0000-0003-0271-7825","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":213745,"corporation":false,"usgs":true,"family":"Romañach","given":"Stephanie","middleInitial":"S.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":952303,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cadaval, Stephanie","contributorId":364187,"corporation":false,"usgs":false,"family":"Cadaval","given":"Stephanie","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":952304,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70272794,"text":"70272794 - 2026 - Summary of first daily ring formation in otoliths of freshwater fishes in the continental United States","interactions":[],"lastModifiedDate":"2026-05-19T15:29:28.817295","indexId":"70272794","displayToPublicDate":"2025-12-02T08:49:00","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Summary of first daily ring formation in otoliths of freshwater fishes in the continental United States","docAbstract":"

Daily ring counts in young-of-the-year fishes are important for estimating important vital rates, such as growth, mortality, and timing of hatch. To accurately estimate some of these rates, the timing of the first daily ring must be estimated accurately. Variation in the timing of the first daily ring can be attributed to many factors, including biology of the species and experience of laboratory personnel. The amount of variation and the degree of differences, however, have not been quantified, hindering the utility of daily ring information to provide accurate estimates of spawning and hatching times. We conducted a review of studies for freshwater fishes in the continental United States to quantify variation in daily ring validation studies as it relates to timing of the first ring. We found 40 studies representing 12 orders, 15 families, and 35 species. Most studies investigated rings in the sagittae, although the lapilli and asterisci were also used for a few species. Variation in the timing of the first ring formation was evident, but not consistent among otolith types or groups of fishes. The first daily ring in sagittae varied from 31 d before hatch to 150 d after hatch. First daily ring formation in lapilli was consistent within families but formed before hatch in some families of fish and after hatch in other families. The first daily ring in asterisci were near universally formed after hatch, with the exception of one species of sturgeon (family Acipenseridae). Only three of the nine species where replicate studies existed were found to exhibit consistent first ring formation timing. Such findings suggest that differences among laboratories and personnel may play a larger role than differences among species or populations when inconsistent first ring formation timing results occur. For most species, error surrounding differences in timing formation is about 1 week, except for Salmoniformes, where error was up to a 150-d difference. Incorporating species biology along with uncertainty in temporal estimates based on otolith chronology would aid interpretation of results in field situations.

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Conservation","active":true,"usgs":false}],"preferred":false,"id":951797,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70273163,"text":"70273163 - 2026 - Predicting niche spaces of expanding Evening Bat (Nycticeius humeralis) populations following white-nose syndrome establishment","interactions":[],"lastModifiedDate":"2026-02-24T16:36:22.478591","indexId":"70273163","displayToPublicDate":"2025-12-01T09:08:13","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Predicting niche spaces of expanding Evening Bat (Nycticeius humeralis) populations following white-nose syndrome establishment","title":"Predicting niche spaces of expanding Evening Bat (Nycticeius humeralis) populations following white-nose syndrome establishment","docAbstract":"

Observations of the Evening Bat (Nycticeius humeralis), a species historically distributed abundantly throughout the southeastern United States, are speculated to have increased in the Midwest. One hypothesis for this expansion in geographic distribution is that local extirpations of other bat species resulted in the expanded realized niche spaces for evening bats. In Indiana, such niche spaces may have been created by declines in populations of the Northern Long-eared Bat (Myotis septentrionalis), Indiana Bat (M. sodalis), Little Brown Bat (M. lucifugus), Big Brown Bat (Eptesicus fuscus), and the Tri-colored Bat (Perimyotis subflavus) due to white-nose syndrome (WNS). Our goal was to estimate the occupancy of Evening Bat in Indiana post-WNS establishment relative to the occupancy of other bat species before significant population declines caused by WNS. We expected that indices of occupancy of nearly extirpated species pre-WNS establishment would best predict current Evening Bat observations, and this would elucidate the niche space evening bats are now filling. We hypothesized that Evening Bat populations may be expanding their geographic range due to compensatory community dynamics, and that their realized niche space may be expanding in part due to losses of other bat species from WNS. We constructed multi-season Bayesian occupancy models using informative priors and integrative prior knowledge to test our predictions. We found that evening bats are occupying the niche space they were already occupying pre-WNS establishment. Furthermore, our results indicate that evening bats may be filling the niche space left behind by Myotis spp. (M. sodalis and M. lucifigus). These results can help us understand the dynamics of bat communities in a post-WNS establishment landscape and may also help to inform conservation of imperiled Myotis species.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/jmammal/gyaf078","usgsCitation":"Martinez, S.B., D’Acunto, L., Westrich, B.J., Bergeson, S.M., and Zollner, P.A., 2025, Predicting niche spaces of expanding Evening Bat (Nycticeius humeralis) populations following white-nose syndrome establishment: Journal of Mammalogy, https://doi.org/10.1093/jmammal/gyaf078.","productDescription":"11 p.","startPage":"135","endPage":"145","ipdsId":"IP-166556","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":497633,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"107","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-12-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Martinez, Sally B. 0009-0005-5869-4425","orcid":"https://orcid.org/0009-0005-5869-4425","contributorId":364343,"corporation":false,"usgs":false,"family":"Martinez","given":"Sally","middleInitial":"B.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":952556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"D’Acunto, Laura 0000-0001-6227-0143","orcid":"https://orcid.org/0000-0001-6227-0143","contributorId":215343,"corporation":false,"usgs":true,"family":"D’Acunto","given":"Laura","email":"","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":952557,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Westrich, Bradford J. 0000-0003-2512-2859","orcid":"https://orcid.org/0000-0003-2512-2859","contributorId":364344,"corporation":false,"usgs":false,"family":"Westrich","given":"Bradford","middleInitial":"J.","affiliations":[{"id":55448,"text":"Indiana Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":952558,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bergeson, Scott M. 0000-0003-2956-4689","orcid":"https://orcid.org/0000-0003-2956-4689","contributorId":364345,"corporation":false,"usgs":false,"family":"Bergeson","given":"Scott","middleInitial":"M.","affiliations":[{"id":86812,"text":"Purdue University Fort Wayne","active":true,"usgs":false}],"preferred":false,"id":952559,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zollner, Patrick A. 0000-0001-8263-7029","orcid":"https://orcid.org/0000-0001-8263-7029","contributorId":364346,"corporation":false,"usgs":false,"family":"Zollner","given":"Patrick","middleInitial":"A.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":952560,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273131,"text":"70273131 - 2026 - Summer snow determines the depth to ice-cemented ground under dry permafrost in Antarctica","interactions":[],"lastModifiedDate":"2026-04-20T15:47:23.032292","indexId":"70273131","displayToPublicDate":"2025-11-27T09:10:10","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":814,"text":"Antarctic Science","onlineIssn":"1365-2079","printIssn":"0954-1020","active":true,"publicationSubtype":{"id":10}},"title":"Summer snow determines the depth to ice-cemented ground under dry permafrost in Antarctica","docAbstract":"

Dry permafrost underlain by ice-cemented permafrost has been reported in several locations in Antarctica. Initially thought to be relic ice, it is now understood that this subsurface ice is in equilibrium with the surface conditions, although it is not in equilibrium with the atmosphere. We use year-round data from University Valley in the Dry Valleys and Elephant Head in the Ellsworth Mountains to investigate the seasonal variations in water vapour flux that control the depth to the ice table under dry permafrost. Our analysis shows that the mean annual water vapour density of the soil surface exceeds the atmospheric value by a factor of up to ~2 due to summer snow. The attenuation and phase shift of the annual temperature cycle with depth result in colder temperatures at the ice table than at the surface of the soil in summer. We conclude that this temperature gradient, combined with the summer snow, provides the flux of water to the ice table necessary to maintain the ice. In University Valley, reducing the snow days by 40% moves the stability depth of the ice table from 42 to 66 cm. Increasing the snow days by 60% shifts the ice table to 17 cm. These variations can explain the observed gradient in the depth to the ice table in University Valley.

","language":"English","publisher":"Cambridge University Press","doi":"10.1017/S0954102025100448","usgsCitation":"McKay, C.P., Marinova, M., Williams, K.E., and Mellon, M., 2026, Summer snow determines the depth to ice-cemented ground under dry permafrost in Antarctica: Antarctic Science, v. 38, no. 2, p. 122-134, https://doi.org/10.1017/S0954102025100448.","productDescription":"13 p.","startPage":"122","endPage":"134","ipdsId":"IP-173704","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":497566,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":497724,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/s0954102025100448","text":"Publisher Index Page"}],"volume":"38","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-11-27","publicationStatus":"PW","contributors":{"authors":[{"text":"McKay, C. P.","contributorId":237824,"corporation":false,"usgs":false,"family":"McKay","given":"C.","email":"","middleInitial":"P.","affiliations":[{"id":24796,"text":"NASA Ames Research Center","active":true,"usgs":false}],"preferred":false,"id":952401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marinova, M.","contributorId":364258,"corporation":false,"usgs":false,"family":"Marinova","given":"M.","affiliations":[{"id":86775,"text":"M3 Interplanetary Corp.","active":true,"usgs":false}],"preferred":false,"id":952402,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Kaj E. 0000-0003-1755-1872 kewilliams@usgs.gov","orcid":"https://orcid.org/0000-0003-1755-1872","contributorId":196988,"corporation":false,"usgs":true,"family":"Williams","given":"Kaj","email":"kewilliams@usgs.gov","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":952403,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mellon, M.","contributorId":241722,"corporation":false,"usgs":false,"family":"Mellon","given":"M.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":952404,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70272792,"text":"70272792 - 2026 - Trophic assessment of potential competition between invasive cichlids and sport fish in Puerto Rico reservoirs","interactions":[],"lastModifiedDate":"2026-02-09T16:15:17.311951","indexId":"70272792","displayToPublicDate":"2025-11-26T08:39:51","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Trophic assessment of potential competition between invasive cichlids and sport fish in Puerto Rico reservoirs","docAbstract":"

Objective 

Several species of New World cichlids have recently invaded reservoirs in Puerto Rico, potentially jeopardizing established recreationally important, albeit nonnative, sport fish populations. Interactions between invasive species and important sport fish must be understood so that they can be mitigated when feasible. This study compared monthly prey consumption between three invasive cichlids (Jaguar Guapote Parachromis managuensis and two species of Amphilophus) and two principal sport fishes (Largemouth Bass Micropterus nigricans and Butterfly Peacock Bass Cichla ocellaris) to understand potential for competitive interactions.

Methods

Stomach contents were evaluated quarterly using gastric lavage for sport fish and destructive sampling techniques for invasive species. Prey proportion by mass was calculated for each individual, and mean prey proportion by mass was calculated for each species by reservoir, month, and overall. Multivariate hypothesis testing using permutational multivariate analysis of variance and visualization of potential diet overlap were performed via analysis of variance and nonmetric multidimensional scaling (NMDS), respectively.

Results

Fish were the most common prey type, and Threadfin Shad Dorosoma petenense was the most prevalent prey species. Although there were significant differences in diets of invasive cichlids and sport fishes (P < 0.01), there also was considerable overlap based on low percentages of variation in diets explained by species (3–19% < pseudo-R2) and NMDS visualizations. Diets varied little across reservoirs and months (≤4% pseudo-R2; high overlap in NMDS space).

Conclusion

These data indicate that the diet of Jaguar Guapote and Amphilophus spp. may overlap with that of sport fish populations in Puerto Rico. Jaguar Guapote relied on Threadfin Shad more than other species, with Amphilophus spp. relying more on detritus and noncrayfish invertebrates. Thus, if prey are limited, Jaguar Guapote may have a more direct effect via competition for prey. Finally, we report evidence of Largemouth Bass recruitment failure and local extirpations that support a hypothesis that invasive cichlids are having negative effects on at least Largemouth Bass, although the mechanism is unclear.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/najfmt/vqaf112","usgsCitation":"Neal, J.W., Moreland, J.A., Dunn, C.G., and Allen, P.J., 2026, Trophic assessment of potential competition between invasive cichlids and sport fish in Puerto Rico reservoirs: North American Journal of Fisheries Management, v. 46, no. 1, p. 139-147, https://doi.org/10.1093/najfmt/vqaf112.","productDescription":"9 p.","startPage":"139","endPage":"147","ipdsId":"IP-179686","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":497281,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -67.31283547050414,\n 18.595138471481363\n ],\n [\n -67.31283547050414,\n 17.867364144121026\n ],\n [\n -65.18239183705461,\n 17.867364144121026\n ],\n [\n -65.18239183705461,\n 18.595138471481363\n ],\n [\n -67.31283547050414,\n 18.595138471481363\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"46","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Neal, J. Wesley","contributorId":363569,"corporation":false,"usgs":false,"family":"Neal","given":"J.","middleInitial":"Wesley","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":951792,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moreland, Jacob A.","contributorId":363570,"corporation":false,"usgs":false,"family":"Moreland","given":"Jacob","middleInitial":"A.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":951793,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dunn, Corey Garland 0000-0002-7102-2165","orcid":"https://orcid.org/0000-0002-7102-2165","contributorId":288691,"corporation":false,"usgs":true,"family":"Dunn","given":"Corey","email":"","middleInitial":"Garland","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":951794,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, Peter J.","contributorId":363571,"corporation":false,"usgs":false,"family":"Allen","given":"Peter","middleInitial":"J.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":951795,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70273757,"text":"70273757 - 2026 - Water residence time and water depth influence on nutrient conditions, eutrophication endpoints and habitat quality in backwater lakes of a large floodplain river","interactions":[],"lastModifiedDate":"2026-03-09T14:48:05.557391","indexId":"70273757","displayToPublicDate":"2025-11-25T09:43:15","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Water residence time and water depth influence on nutrient conditions, eutrophication endpoints and habitat quality in backwater lakes of a large floodplain river","docAbstract":"

Many eutrophication studies focus on the external supply of critical nutrients like nitrogen and phosphorus, but hydrology and geomorphology can enhance or dampen the effects of excessive nutrient supply. We studied six backwater lakes in the Upper Mississippi River that varied in water residence time and water depth. Eutrophication in these systems is responsible for negative impacts such as cyanobacterial blooms and toxicity, and floating plant and algal mats that disrupt recreational water uses. Increasing backwater residence time was associated with more nitrate removal and a greater likelihood of nitrogen limitation, as well as greater accumulations of duckweed. Backwaters with greater depth and lower nitrogen concentration had less likelihood of filamentous algal accumulations. The median water residence time of backwaters with low duckweed (11.7 days) and no filamentous algae (16.9 days) approached the 12-day target to maintain overwintering conditions in backwaters for fisheries survival, supporting that water residence times in this range would likely improve both winter and summer water quality. Mean depth in backwaters with low duckweed and no filamentous algae was ~1.3 m, while shallower backwaters were more likely to produce duckweed and filamentous algae mats. This indicates that deeper backwaters might reduce the likelihood of eutrophication impacts. Natural resource management at the local level may not always be able to answer global and regional threats, but habitat restoration of hydrology and geomorphology can possibly alleviate or reduce large-scale threats at the local level.

","language":"English","publisher":"Wiley","doi":"10.1002/rra.70083","usgsCitation":"Giblin, S.M., Larson, J.H., and King, J.D., 2026, Water residence time and water depth influence on nutrient conditions, eutrophication endpoints and habitat quality in backwater lakes of a large floodplain river: River Research and Applications, v. 42, no. 3, p. 547-563, https://doi.org/10.1002/rra.70083.","productDescription":"17 p.","startPage":"547","endPage":"563","ipdsId":"IP-177500","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":499173,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, Wisconsin","otherGeospatial":"Upper Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.94320139911451,\n 44.27154014954243\n ],\n [\n -91.95438545368775,\n 44.21619328991649\n ],\n [\n -91.82576882609426,\n 44.11674648947249\n ],\n [\n -91.41795726779453,\n 43.914853669211254\n ],\n [\n -91.3181962287206,\n 43.55922418216956\n ],\n [\n -91.18629456902488,\n 43.56018234845769\n ],\n [\n -91.23103078731836,\n 43.9624257686493\n ],\n [\n -91.90306563491376,\n 44.27334527127165\n ],\n [\n -91.94320139911451,\n 44.27154014954243\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"42","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-11-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Giblin, Shawn M.","contributorId":365669,"corporation":false,"usgs":false,"family":"Giblin","given":"Shawn","middleInitial":"M.","affiliations":[{"id":82352,"text":"Wisconsin Department of Natural Resources (WI DNR)","active":true,"usgs":false}],"preferred":false,"id":954586,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":954587,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"King, Jeremy D.","contributorId":365670,"corporation":false,"usgs":false,"family":"King","given":"Jeremy","middleInitial":"D.","affiliations":[{"id":87185,"text":"Wisconsin Department of Natural Resources (WI DNR","active":true,"usgs":false}],"preferred":false,"id":954588,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70276466,"text":"70276466 - 2026 - Causal networks to inform decisions for ecological restoration","interactions":[],"lastModifiedDate":"2026-06-05T14:34:48.531152","indexId":"70276466","displayToPublicDate":"2025-11-25T09:32:09","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Causal networks to inform decisions for ecological restoration","docAbstract":"

The release of contaminants into the environment can occur from anthropogenic activities, such as oil extraction and transportation, mining, and industrial processes. Remediation associated with reducing contaminant concentrations, and restoration that improves animals and supporting habitat, are often needed to restore ecosystems to their pre-release, baseline condition. We demonstrated the application of Bayesian Decision Networks (BDNs) with two Natural Resource Damage Assessment and Restoration (NRDAR) case studies. We use a stylized case study of riparian restoration following the remediation of a mine-impacted site to evaluate proposed restoration actions aimed at restoring Song Sparrow (Melospiza melodia) populations to baseline conditions. We then use a settled NRDAR case with implemented restoration in the Upper Arkansas River (UAR, Colorado, USA) to demonstrate the application of BDNs to evaluate and forecast restoration effectiveness for Brown Trout (Salmo trutta) (i.e., restoration effectiveness assessment). The riparian restoration model showed differences in the effects of restoration actions on Song Sparrow populations, with the time to reach baseline generally reduced with increased restoration costs, indicating trade-offs between costs and expected recovery. The UAR model showed recovery of Brown Trout populations (i.e., uplift) in response to improved instream habitat restoration, along with forecasted improvements. While the BDNs we developed were specific to two case studies, the structure is adaptable to a diversity of sites, resources, and actions. We suggest that causal network modeling can provide restoration practitioners with a decision advisory tool useful for a wide range of projects.

","language":"English","publisher":"Springer","doi":"10.1007/s00267-025-02323-x","usgsCitation":"Kotalik, C.J., Rowland, F.E., Marcot, B.G., Skrabis, K.E., Walters, D., Hinck, J.E., Clements, W.H., Richer, E.E., and Isanhart, J.P., 2026, Causal networks to inform decisions for ecological restoration: Environmental Management, v. 76, no. 1, 7, 14 p., https://doi.org/10.1007/s00267-025-02323-x.","productDescription":"7, 14 p.","ipdsId":"IP-175595","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":505463,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00267-025-02323-x","text":"Publisher Index Page"},{"id":505092,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Kotalik, Christopher James 0000-0001-6739-6036","orcid":"https://orcid.org/0000-0001-6739-6036","contributorId":301847,"corporation":false,"usgs":true,"family":"Kotalik","given":"Christopher","email":"","middleInitial":"James","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":962446,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rowland, Freya Elizabeth 0000-0002-1041-5301","orcid":"https://orcid.org/0000-0002-1041-5301","contributorId":302395,"corporation":false,"usgs":true,"family":"Rowland","given":"Freya","email":"","middleInitial":"Elizabeth","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":962447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marcot, Bruce G.","contributorId":371839,"corporation":false,"usgs":false,"family":"Marcot","given":"Bruce","middleInitial":"G.","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":962448,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Skrabis, Kristin E.","contributorId":371840,"corporation":false,"usgs":false,"family":"Skrabis","given":"Kristin","middleInitial":"E.","affiliations":[{"id":88226,"text":"DOI - Office of Policy Analysis","active":true,"usgs":false}],"preferred":false,"id":962449,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walters, David 0000-0002-4237-2158","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":203410,"corporation":false,"usgs":true,"family":"Walters","given":"David","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":962450,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hinck, Jo Ellen 0000-0002-4912-5766 jhinck@usgs.gov","orcid":"https://orcid.org/0000-0002-4912-5766","contributorId":2743,"corporation":false,"usgs":true,"family":"Hinck","given":"Jo","email":"jhinck@usgs.gov","middleInitial":"Ellen","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":962451,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Clements, William H.","contributorId":371842,"corporation":false,"usgs":false,"family":"Clements","given":"William","middleInitial":"H.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":962452,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Richer, Eric E.","contributorId":371843,"corporation":false,"usgs":false,"family":"Richer","given":"Eric","middleInitial":"E.","affiliations":[{"id":39887,"text":"Colorado Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":962453,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Isanhart, John P.","contributorId":371844,"corporation":false,"usgs":false,"family":"Isanhart","given":"John","middleInitial":"P.","affiliations":[{"id":88228,"text":"DOI - Office of Restoration and Damage Assessment","active":true,"usgs":false}],"preferred":false,"id":962454,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70274012,"text":"70274012 - 2026 - Development of high-throughput genomic resources to inform white-tailed deer population and disease management","interactions":[],"lastModifiedDate":"2026-02-20T15:10:59.016463","indexId":"70274012","displayToPublicDate":"2025-11-25T09:05:09","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2776,"text":"Molecular Ecology Resources","active":true,"publicationSubtype":{"id":10}},"title":"Development of high-throughput genomic resources to inform white-tailed deer population and disease management","docAbstract":"

White-tailed deer (Odocoileus virginianus) are the most abundant and widespread cervid in North America. Genetic data are used as a tool to monitor populations and make management decisions for this game species. However, the development and use of genomic tools that can generate a set of markers suitable for longitudinal genomic data collection, whether for management purposes or to study the demographic and evolutionary processes of widely distributed species, have been challenging. This is mainly due to the cost required to fully implement and interpret the data produced. Here, we generated whole genome resequencing data for 44 free-ranging deer from three regions in their central and eastern North American range and identified over 89 million single nucleotide polymorphisms (SNPs). We used a subset of these SNPs to develop two nested SNP tools, a high-density array (702,183 SNPs) and a medium-density array (72,723 SNPs) to support deer and chronic wasting disease (CWD) management and research. SNPs were selected to ensure an even distribution across scaffolds of the reference genome and include SNPs associated with CWD susceptibility. Using genotyping results for 469 deer from 15 states in the US and Mexico generated by the high-density array and 1335 deer from 18 states generated by the medium-density array, we assessed genotyping success across different populations and explored some insights into population structure. These genomic tools offer a standard set of markers that will enable researchers and managers to address important questions related to white-tailed deer and CWD management. Our SNP arrays also offer the opportunity to examine aspects of white-tailed deer ecology and evolutionary history that were previously difficult to address.

","language":"English","publisher":"Wiley","doi":"10.1111/1755-0998.70085","usgsCitation":"Navarro, D., Latch, E.K., Tallon, A.K., Ott-Conn, C.N., DeYoung, R.W., Walsh, D.P., Euclide, P.T., Chandika, R., Larson, W.A., Seetharam, A.S., Severin, A.J., Severin, A.J., Reecy, J.M., Hu, Z., Cantrell, J.R., Carstensen, M., Caudell, J.N., Killmaster, C.H., Lockwood, M.L., McKinley, W.T., Norton, A.S., Schuler, K.L., Storm, D.J., Sumners, J.A., Walter, W., Blanchong, J.A., 2026, Development of high-throughput genomic resources to inform white-tailed deer population and disease management: Molecular Ecology Resources, v. 26, no. 1, e70085, 16 p., https://doi.org/10.1111/1755-0998.70085.","productDescription":"e70085, 16 p.","ipdsId":"IP-179449","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500827,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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0000-0002-7772-2445","orcid":"https://orcid.org/0000-0002-7772-2445","contributorId":219539,"corporation":false,"usgs":true,"family":"Walsh","given":"Daniel","email":"","middleInitial":"P.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":956144,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Euclide, Peter T.","contributorId":366675,"corporation":false,"usgs":false,"family":"Euclide","given":"Peter","middleInitial":"T.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":956145,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chandika, R.G.","contributorId":366676,"corporation":false,"usgs":false,"family":"Chandika","given":"R.G.","affiliations":[{"id":7200,"text":"University of 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University","active":true,"usgs":false}],"preferred":false,"id":956149,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Severin, Andrew J.","contributorId":366680,"corporation":false,"usgs":false,"family":"Severin","given":"Andrew","middleInitial":"J.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":956150,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Reecy, James M.","contributorId":366681,"corporation":false,"usgs":false,"family":"Reecy","given":"James","middleInitial":"M.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":956151,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hu, Zhi-Liang","contributorId":366682,"corporation":false,"usgs":false,"family":"Hu","given":"Zhi-Liang","affiliations":[{"id":6911,"text":"Iowa State 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of Wildlife, Fisheries, and Parks","active":true,"usgs":false}],"preferred":false,"id":956158,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Norton, Andrew S.","contributorId":366706,"corporation":false,"usgs":false,"family":"Norton","given":"Andrew","middleInitial":"S.","affiliations":[{"id":87503,"text":"South Dakota Game, Fish & Parks","active":true,"usgs":false}],"preferred":false,"id":956159,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Schuler, Krysten L.","contributorId":366707,"corporation":false,"usgs":false,"family":"Schuler","given":"Krysten","middleInitial":"L.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":956160,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Storm, Daniel J.","contributorId":366708,"corporation":false,"usgs":false,"family":"Storm","given":"Daniel","middleInitial":"J.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":956161,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Sumners, Jason A.","contributorId":366709,"corporation":false,"usgs":false,"family":"Sumners","given":"Jason","middleInitial":"A.","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":956162,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Walter, W. David 0000-0003-3068-1073","orcid":"https://orcid.org/0000-0003-3068-1073","contributorId":219540,"corporation":false,"usgs":true,"family":"Walter","given":"W. David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":956163,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Blanchong, Julie A.","contributorId":6030,"corporation":false,"usgs":false,"family":"Blanchong","given":"Julie","email":"","middleInitial":"A.","affiliations":[{"id":13018,"text":"Department of Forest and Wildlife Ecology, University of Wisconsin, Madison","active":true,"usgs":false}],"preferred":false,"id":956332,"contributorType":{"id":1,"text":"Authors"},"rank":26}]}} ,{"id":70273249,"text":"70273249 - 2026 - Assessing the topographic distribution of legacy soil phosphorus in agricultural fields of the Delmarva Peninsula, Mid-Atlantic Coastal Plain, USA","interactions":[],"lastModifiedDate":"2025-12-23T15:04:34.80313","indexId":"70273249","displayToPublicDate":"2025-11-25T08:51:42","publicationYear":"2026","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":"Assessing the topographic distribution of legacy soil phosphorus in agricultural fields of the Delmarva Peninsula, Mid-Atlantic Coastal Plain, USA","docAbstract":"

Phosphorus (P) management remains a challenge in agricultural watersheds. The Choptank River Conservation Effects Assessment Project watershed, located in Maryland and Delaware and draining to the Chesapeake Bay, contains legacy soil P from historical dairy and poultry manure applications. These practices elevated soil P beyond crop needs, contributing to persistent P export to aquatic ecosystems. We assessed spatial P distribution and analyzed GIS (Geographic Information Systems)-derived landscape features driving legacy P movement on a farm (47 ha). We hypothesized that P accumulates in drained lowlands and depressional areas due to gravity-driven processes that accelerate P-enriched water to receiving waters via overland flow. In collaboration with the US Department of Agriculture Legacy P project, we collected 105 soil samples (0- to 5-cm and 5- to 15-cm depths) and 14 ditch sediment samples across five topographic openness classes from a farm with >100 years of dairy manure application. Average Mehlich-III P concentrations were 218 and 179 mg kg−1 at 0- to 5-cm and 5- to 15-cm depths, respectively, with legacy areas defined by P content > 100 mg kg−1. Soil P and clay particle size were positively correlated (r = 0.42, p < 0.05), increased as landscape openness decreased, and were negatively correlated with topographic openness (ranging from −0.2 to −0.4, p < 0.05), indicating accumulation of P and clay in low-lying areas. These patterns suggest that historical field-level managements have primarily shaped P distribution, while hydrologic and landscape properties further influence its redistribution via transport pathways and drainage. These findings support the development of landscape models to map critical source areas in low-relief watersheds and guide targeted mitigation in high-risk P export zones.

","language":"English","publisher":"American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America","doi":"10.1002/jeq2.70101","usgsCitation":"Foroughi, M., Du, L., Scott, I.P., Hively, W.D., Simpson, Z.P., Smith, Z.J., Hapeman, C.J., Rabenhorst, M.C., Weil, R.R., and McCarty, G.W., 2026, Assessing the topographic distribution of legacy soil phosphorus in agricultural fields of the Delmarva Peninsula, Mid-Atlantic Coastal Plain, USA: Journal of Environmental Quality, v. 55, no. 1, e70101, 15 p., https://doi.org/10.1002/jeq2.70101.","productDescription":"e70101, 15 p.","ipdsId":"IP-179707","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":498053,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jeq2.70101","text":"Publisher Index Page"},{"id":497935,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Tuckahoe Creek watershed","volume":"55","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Foroughi, Maryam","contributorId":364546,"corporation":false,"usgs":false,"family":"Foroughi","given":"Maryam","affiliations":[{"id":86840,"text":"University of Maryland (UMD), Department of Environmental Science & Technology, College Park, Maryland, USA","active":true,"usgs":false}],"preferred":false,"id":952851,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Du, Ling","contributorId":224056,"corporation":false,"usgs":false,"family":"Du","given":"Ling","email":"","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":952852,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scott, Isis P","contributorId":364547,"corporation":false,"usgs":false,"family":"Scott","given":"Isis","middleInitial":"P","affiliations":[{"id":86842,"text":"Kansas State University, Department of Biological and Agricultural Engineering, Manhattan, Kansas, USA","active":true,"usgs":false}],"preferred":false,"id":952853,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hively, W. Dean 0000-0002-5383-8064","orcid":"https://orcid.org/0000-0002-5383-8064","contributorId":201565,"corporation":false,"usgs":true,"family":"Hively","given":"W.","email":"","middleInitial":"Dean","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":952854,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Simpson, Zachary P. 0000-0001-8075-810X","orcid":"https://orcid.org/0000-0001-8075-810X","contributorId":364548,"corporation":false,"usgs":false,"family":"Simpson","given":"Zachary","middleInitial":"P.","affiliations":[{"id":86843,"text":"U.S. Department of Agriculture, Sustainable Water Management Research Unit, Stoneville, Mississippi, USA","active":true,"usgs":false}],"preferred":false,"id":952855,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Zacharias J. 0000-0002-6347-9325","orcid":"https://orcid.org/0000-0002-6347-9325","contributorId":364549,"corporation":false,"usgs":false,"family":"Smith","given":"Zacharias","middleInitial":"J.","affiliations":[{"id":86844,"text":"U.S. Department of Agriculture, Agricultural Research Service (USDA-ARS), Hydrology and Remote Sensing Laboratory, Beltsville Agricultural Research Center, Beltsville, Maryland, USA","active":true,"usgs":false}],"preferred":false,"id":952856,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hapeman, Cathleen J. 0000-0003-3439-2826","orcid":"https://orcid.org/0000-0003-3439-2826","contributorId":364550,"corporation":false,"usgs":false,"family":"Hapeman","given":"Cathleen","middleInitial":"J.","affiliations":[{"id":86844,"text":"U.S. Department of Agriculture, Agricultural Research Service (USDA-ARS), Hydrology and Remote Sensing Laboratory, Beltsville Agricultural Research Center, Beltsville, Maryland, USA","active":true,"usgs":false}],"preferred":false,"id":952857,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rabenhorst, Martin C. 0000-0002-1664-7242","orcid":"https://orcid.org/0000-0002-1664-7242","contributorId":364551,"corporation":false,"usgs":false,"family":"Rabenhorst","given":"Martin","middleInitial":"C.","affiliations":[{"id":86840,"text":"University of Maryland (UMD), Department of Environmental Science & Technology, College Park, Maryland, USA","active":true,"usgs":false}],"preferred":false,"id":952858,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Weil, Raymond R. 0000-0001-9658-7966","orcid":"https://orcid.org/0000-0001-9658-7966","contributorId":364552,"corporation":false,"usgs":false,"family":"Weil","given":"Raymond","middleInitial":"R.","affiliations":[{"id":86840,"text":"University of Maryland (UMD), Department of Environmental Science & Technology, College Park, Maryland, USA","active":true,"usgs":false}],"preferred":false,"id":952859,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McCarty, Greg W.","contributorId":131149,"corporation":false,"usgs":false,"family":"McCarty","given":"Greg","email":"","middleInitial":"W.","affiliations":[{"id":7262,"text":"USDA-ARS, Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705","active":true,"usgs":false}],"preferred":false,"id":952860,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70272730,"text":"70272730 - 2026 - Hosts, pathogens and hot ponds: Thermal mean and variability contribute to spatial patterns of chytrid infection","interactions":[],"lastModifiedDate":"2026-02-09T16:13:12.344243","indexId":"70272730","displayToPublicDate":"2025-11-24T08:27:37","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2939,"text":"Oikos","active":true,"publicationSubtype":{"id":10}},"title":"Hosts, pathogens and hot ponds: Thermal mean and variability contribute to spatial patterns of chytrid infection","docAbstract":"

Temperature is a primary driver of heterogeneity in host–pathogen dynamics and understanding how patch-scale temperature affects landscape-scale patterns of pathogen infection is key to effective monitoring and management. In field studies, both temperature variability and mean temperature are often related to infection of ectothermic animals by fungal pathogens, and although these factors vary spatiotemporally, their contributions to infection outcomes are rarely decomposed into spatial and temporal components. We studied how patch-scale thermal conditions (mean and variability) affect infection of eastern newts Notophthalmus viridescens by Batrachochytrium dendrobatidis (Bd), with a special focus on disentangling spatial versus temporal contributions of thermal conditions to infection outcomes. We measured in situtemperature and Bd infection across 20 ponds in two years in southeastern Wisconsin, USA to 1) understand thermal mediation of infection and 2) quantify whether seasonal and/or among-site variation in thermal conditions drive heterogeneity in host–pathogen interactions. In our system, thermal mean and variability covaried tightly, necessitating the creation of a single index to capture both components. We found that 1) this index of thermal mean and variability was strongly and nonlinearly related to Bd infection and 2) differences among patches in thermal conditions drove this relationship, highlighting that variation in patch-level conditions can drive heterogenous host–pathogen outcomes across landscapes. Our research collectively reveals insights about the importance of local, patch-level conditions for mediating disease risk at broader scales.

","language":"English","publisher":"Nordic Society Oikos","doi":"10.1002/oik.11503","usgsCitation":"Hobart, B.K., Grear, D.A., Winzeler, M., Mcdevitt-Galles, T., Korpita, T.M., Muths, E., and McKenzie, V.J., 2026, Hosts, pathogens and hot ponds: Thermal mean and variability contribute to spatial patterns of chytrid infection: Oikos, v. 2026, no. 2, e11503, 12 p., https://doi.org/10.1002/oik.11503.","productDescription":"e11503, 12 p.","ipdsId":"IP-161965","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":501963,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1WEHHZG","text":"USGS data release","linkHelpText":"Hosts, pathogens, and hot ponds: Thermal variability and heat contribute jointly to spatial patterns of chytrid infection in amphibians in southern Wisconsin, data release"},{"id":497133,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":497385,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/oik.11503","text":"Publisher Index Page"}],"country":"United States","state":"Wisconsin","volume":"2026","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-11-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Hobart, Brendan K","contributorId":363337,"corporation":false,"usgs":false,"family":"Hobart","given":"Brendan","middleInitial":"K","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":951459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grear, Daniel A. 0000-0002-5478-1549 dgrear@usgs.gov","orcid":"https://orcid.org/0000-0002-5478-1549","contributorId":189819,"corporation":false,"usgs":true,"family":"Grear","given":"Daniel","email":"dgrear@usgs.gov","middleInitial":"A.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":951460,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Winzeler, Megan 0000-0002-0361-1582 mwinzeler@usgs.gov","orcid":"https://orcid.org/0000-0002-0361-1582","contributorId":196714,"corporation":false,"usgs":true,"family":"Winzeler","given":"Megan","email":"mwinzeler@usgs.gov","affiliations":[],"preferred":true,"id":951461,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mcdevitt-Galles, Travis 0000-0002-4929-5431","orcid":"https://orcid.org/0000-0002-4929-5431","contributorId":315374,"corporation":false,"usgs":true,"family":"Mcdevitt-Galles","given":"Travis","email":"","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":951462,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Korpita, Timothy M","contributorId":363340,"corporation":false,"usgs":false,"family":"Korpita","given":"Timothy","middleInitial":"M","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":951463,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Muths, Erin L. 0000-0002-5498-3132","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":243368,"corporation":false,"usgs":true,"family":"Muths","given":"Erin L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":951464,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McKenzie, Valerie J","contributorId":363341,"corporation":false,"usgs":false,"family":"McKenzie","given":"Valerie","middleInitial":"J","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":951465,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70272969,"text":"70272969 - 2026 - How high? Identifying elevation thresholds to guide coastal marsh restoration","interactions":[],"lastModifiedDate":"2026-01-22T16:39:47.867425","indexId":"70272969","displayToPublicDate":"2025-11-24T07:58:37","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"How high? Identifying elevation thresholds to guide coastal marsh restoration","docAbstract":"

Introduction

Coastal marshes are highly valuable ecosystems facing threats from rising sea levels and intensifying storm events. To elevate marsh surfaces and prevent loss of ecosystem services, the beneficial use of dredged material (BUDM) is increasingly being implemented across the United States.

Objectives

The objective of this study was to aid decision-makers and restoration practitioners by identifying elevation thresholds that control the optimal function of Spartina patens-dominated marshes along the Texas Coast.

Methods

This study was conducted in the coastal marshes of the J.D. Murphree Wildlife Management Area (Texas). We collected elevation and vegetation cover data along ecological transition zones in marshes nourished with BUDM to identify elevation thresholds that define zones of optimal plant survivorship and growth.

Results

We identified lower (−0.05 m mean high water, MHW) and upper (0.26 m MHW) elevation thresholds that defined transitions to open water and unvegetated bare ground, respectively. Elevation targets (T) and elevation target zones, which defined areas with the greatest vegetation cover, were determined for S. patens (T: 0.11 m, target zone: −0.06 to 0.26 m MHW), S. alterniflora (T: 0.00 m, target zone: −0.12 to 0.10 m MHW), and Distichlis spicata (T: 0.17 m, target zone: 0.07–0.25 m MHW).

Conclusions

Our analyses provide species-specific elevation targets for coastal marsh restoration through BUDM, which can improve restoration outcomes for coastal wetlands.

","language":"English","publisher":"Society for Ecological Restoration","doi":"10.1111/rec.70232","usgsCitation":"Fromenthal, E.N., Stagg, C.L., Moon, J.A., Abshier, T., Alawneh, O., Cadigan, J.A., Gallegos, D.A., Harris, B.D., Hurst, N.R., Jafari, N.H., Merendino, T., Nelson, M.R., Osland, M.J., Pauling, P., Rezsutek, M., Sanspree, C.R., and Villani, R.K., 2026, How high? Identifying elevation thresholds to guide coastal marsh restoration: Restoration Ecology, v. 34, no. 1, e70232, 11 p., https://doi.org/10.1111/rec.70232.","productDescription":"e70232, 11 p.","ipdsId":"IP-176516","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":497382,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.70232","text":"Publisher Index Page"},{"id":497323,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"J.D. Murphree Wildlife Management Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -95.16372427589603,\n 29.864573785630768\n ],\n [\n -95.16372427589603,\n 29.388146335695794\n ],\n [\n -94.43439840716935,\n 29.388146335695794\n ],\n [\n -94.43439840716935,\n 29.864573785630768\n ],\n [\n -95.16372427589603,\n 29.864573785630768\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"34","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Fromenthal, Emily N. 0009-0007-6043-7537","orcid":"https://orcid.org/0009-0007-6043-7537","contributorId":334303,"corporation":false,"usgs":false,"family":"Fromenthal","given":"Emily","middleInitial":"N.","affiliations":[{"id":80112,"text":"Cherokee Nationa System Solutions contractor in support of U.S. Geological Survey, Wetland and Aquatic 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The boreal forest biome is an important breeding area for migratory birds and is undergoing rapid changes, including drying of wetlands, changes to vegetation composition, and human development. Many boreal bird populations are declining, but information is often lacking on how these species associate with habitat characteristics and thus how they may respond to changing conditions. We used a large point-count dataset to describe habitat associations and hotspots for three boreal species of concern in Alaska, USA: Tringa flavipes (Lesser Yellowlegs), Contopus cooperi (Olive-sided Flycatcher), and Euphagus carolinus (Rusty Blackbird). We used an N-mixture model to evaluate covariates of abundance and two components of detection (availability and perceptibility). We then used the estimated relationships with covariates to predict density of each species across the Northwestern Interior Forest (Bird Conservation Region 4) in Alaska, including identifying hotspots where density was predicted to be in the top 10% of all locations. T. flavipes and E. carolinus were associated with wetlands and mean values of June precipitation; T. flavipes were also associated with low elevation and recent fire; and C. cooperi was associated with needleleaf forest and moderate elevation. Hotspots for T. flavipes and E. carolinus usually overlapped, while hotspots for C. cooperi almost never overlapped with those of the other two species. Following ground-truthing, these predicted distributions could be used to indicate areas of high importance for species of conservation concern and thus inform management decisions and mitigation measures. Our results could also help identify areas that are likely to be important for these species in the future, given the rapid changes now occurring across the boreal biome in response to climate warming and drying.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithapp/duaf072","usgsCitation":"Weiser, E.L., Christie, K., Burns, C.T., Hagelin, J.C., Matsuoka, S.M., Johnson, J.A., and Handel, C.M., 2026, Land cover, elevation, and precipitation predict distribution and hotspots of three bird species of concern in boreal Alaska: Ornithological Applications, v. 128, no. 1, p. 1-14, https://doi.org/10.1093/ornithapp/duaf072.","productDescription":"14 p.","startPage":"1","endPage":"14","ipdsId":"IP-173816","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":504063,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1A9HM4R","text":"USGS data release","linkHelpText":"R scripts to run model of bird density and habitat associations"},{"id":502996,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ornithapp/duaf072","text":"Publisher Index 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Threatened","active":true,"usgs":false}],"preferred":false,"id":959265,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burns, Casey T.","contributorId":244656,"corporation":false,"usgs":false,"family":"Burns","given":"Casey","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":959266,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hagelin, Julie C 0000-0002-0434-6936","orcid":"https://orcid.org/0000-0002-0434-6936","contributorId":270470,"corporation":false,"usgs":false,"family":"Hagelin","given":"Julie","email":"","middleInitial":"C","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":959267,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Matsuoka, Steven M. 0000-0001-6415-1885 smatsuoka@usgs.gov","orcid":"https://orcid.org/0000-0001-6415-1885","contributorId":184173,"corporation":false,"usgs":true,"family":"Matsuoka","given":"Steven","email":"smatsuoka@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":959268,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, James A. 0000-0002-2312-0633","orcid":"https://orcid.org/0000-0002-2312-0633","contributorId":299054,"corporation":false,"usgs":false,"family":"Johnson","given":"James","email":"","middleInitial":"A.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":959269,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Handel, Colleen M. 0000-0002-0267-7408 cmhandel@usgs.gov","orcid":"https://orcid.org/0000-0002-0267-7408","contributorId":3067,"corporation":false,"usgs":true,"family":"Handel","given":"Colleen","email":"cmhandel@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":959270,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70272698,"text":"70272698 - 2026 - Long‐period ground motions from dynamic rupture simulations of large earthquakes on the creeping Hayward–Calaveras–Rodgers Creek fault system","interactions":[],"lastModifiedDate":"2026-05-19T15:27:56.818086","indexId":"70272698","displayToPublicDate":"2025-11-21T09:23:42","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Long‐period ground motions from dynamic rupture simulations of large earthquakes on the creeping Hayward–Calaveras–Rodgers Creek fault system","docAbstract":"

he Hayward, Calaveras, and Rodgers Creek faults in the San Francisco Bay region of California have a high probability of producing a large earthquake in the next decades. Although these faults creep, the creep is insufficient to keep up with their relatively rapid slip rates on their deepest sections, so they have been storing tectonic strain since their last large earthquakes, with the Hayward’s and Rodgers Creek’s more than 150 yr ago. We do not know what the next large Hayward–Calaveras–Rodgers Creek earthquakes will look like or how strongly they will shake the San Francisco Bay region. Harris et al. (2021) used the 3D dynamic (spontaneous) rupture method to simulate large earthquakes on these creeping faults. In this article, we examine the resulting simulated long‐period (T > 1 s) ground shaking from 0 to 50 km distance, for earthquakes nucleating on the Hayward fault and earthquakes nucleating on the Rodgers Creek fault. We compare these simulated long‐period ground motions with the Boore et al. (2014) well‐established empirically based ground‐motion model suitable for the slowest material velocity in our 3D velocity structure. We find that the simulated long‐period ground motions from the creeping‐fault earthquake scenarios produce a reasonable agreement with the empirical expectations if frictional cohesion is included only where it is appropriate.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220250194","usgsCitation":"Harris, R.A., Barall, M., Parker, G.A., and Hirakawa, E.T., 2026, Long‐period ground motions from dynamic rupture simulations of large earthquakes on the creeping Hayward–Calaveras–Rodgers Creek fault system: Seismological Research Letters, v. 97, no. 3, p. 2050-2063, https://doi.org/10.1785/0220250194.","productDescription":"14 p.","startPage":"2050","endPage":"2063","ipdsId":"IP-170265","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":497053,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":497108,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0220250194","text":"Publisher Index Page"}],"country":"United States","state":"California","otherGeospatial":"Hayward, Calaveras, and Rodgers Creek faults, San Francisco Bay region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124,\n 39\n ],\n [\n -124,\n 36\n ],\n [\n -120,\n 36\n ],\n [\n -120,\n 39\n ],\n [\n -124,\n 39\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"97","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-11-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Harris, Ruth A. 0000-0002-9247-0768 harris@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-0768","contributorId":786,"corporation":false,"usgs":true,"family":"Harris","given":"Ruth","email":"harris@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":951358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barall, Michael 0000-0001-7724-8563 mbarall@usgs.gov","orcid":"https://orcid.org/0000-0001-7724-8563","contributorId":271197,"corporation":false,"usgs":true,"family":"Barall","given":"Michael","email":"mbarall@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":951359,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parker, Grace Alexandra 0000-0002-9445-2571","orcid":"https://orcid.org/0000-0002-9445-2571","contributorId":237091,"corporation":false,"usgs":true,"family":"Parker","given":"Grace","email":"","middleInitial":"Alexandra","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":951360,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hirakawa, Evan Tyler 0000-0002-5720-0850","orcid":"https://orcid.org/0000-0002-5720-0850","contributorId":295776,"corporation":false,"usgs":true,"family":"Hirakawa","given":"Evan","email":"","middleInitial":"Tyler","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":951361,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70272656,"text":"70272656 - 2026 - Bioclimatic, demographic, and anthropogenic correlates of grizzly bear activity patterns in the Greater Yellowstone Ecosystem","interactions":[],"lastModifiedDate":"2026-04-20T15:46:00.314968","indexId":"70272656","displayToPublicDate":"2025-11-20T10:03:04","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2939,"text":"Oikos","active":true,"publicationSubtype":{"id":10}},"title":"Bioclimatic, demographic, and anthropogenic correlates of grizzly bear activity patterns in the Greater Yellowstone Ecosystem","docAbstract":"

Plasticity of diel activity rhythms may be a key element for adaptations of wildlife populations to changing environmental conditions. In the last decades, grizzly bears Ursus arctos in the Greater Yellowstone Ecosystem (GYE) have experienced notable environmental fluctuations, including changes in availability of food sources and severe droughts. Although substantial research has been conducted on grizzly bear diets, space use, and demographic parameters, studies on factors that may influence their diel activity patterns are lacking. We investigated diel activity of grizzly bears in the GYE as a function of anthropogenic landscape modification, maximum daily ambient temperature, drought severity, and bear density. Specifically, we used accelerometry readings of 169 bears (39 females, 130 males) from 2009 to 2022 to compute three complementary activity measures, hourly intensity of activity, daily active minutes, and active bout length, each used as a response variable within a Bayesian modeling framework. Grizzly bears generally exhibited bimodal diel activity, with crepuscular peaks and slight variations across seasons. Females with young (i.e. cubs or yearlings) were an exception, with more pronounced diurnal activity patterns, possibly as a strategy to avoid infanticide by dominant males. Landscape modification and maximum ambient temperature were the factors most strongly associated with activity patterns of grizzly bears, with greater nocturnality observed in lone females and males as these factors increased. Females with young were comparatively less affected. The GYE is changing because of increasing land development, human recreation pressures, and effects of climate change. Given their greater diurnal activity compared with other cohorts, female grizzly bears with dependent offspring may be more constrained in their ability to modify activity patterns. Our findings add to a growing body of research emphasizing the importance of the temporal dimension of wildlife behavior as a critical factor in assessing species adaptability and vulnerability in a changing world.

","language":"English","publisher":"Nordic Society Oikos","doi":"10.1002/oik.11851","usgsCitation":"Donatelli, A., Haroldson, M., Clapp, J.G., Ciucci, P., and van Manen, F.T., 2026, Bioclimatic, demographic, and anthropogenic correlates of grizzly bear activity patterns in the Greater Yellowstone Ecosystem: Oikos, v. 2026, no. 4, e11851, 15 p., https://doi.org/10.1002/oik.11851.","productDescription":"e11851, 15 p.","ipdsId":"IP-179581","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":497083,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/oik.11851","text":"Publisher Index Page"},{"id":496987,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Greater Yellowstone Ecosystem","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -112.3187629306571,\n 45.33972157168918\n ],\n [\n -112.3187629306571,\n 42.05504689696562\n ],\n [\n -108.71329990703327,\n 42.05504689696562\n ],\n [\n -108.71329990703327,\n 45.33972157168918\n ],\n [\n -112.3187629306571,\n 45.33972157168918\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"2026","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Donatelli, A.","contributorId":358394,"corporation":false,"usgs":false,"family":"Donatelli","given":"A.","affiliations":[{"id":81866,"text":"University of Rome La Sapienza","active":true,"usgs":false}],"preferred":false,"id":951221,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haroldson, Mark 0000-0002-7457-7676","orcid":"https://orcid.org/0000-0002-7457-7676","contributorId":316737,"corporation":false,"usgs":true,"family":"Haroldson","given":"Mark","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":951222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clapp, Justin G.","contributorId":363181,"corporation":false,"usgs":false,"family":"Clapp","given":"Justin","middleInitial":"G.","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":951223,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ciucci, P.","contributorId":358405,"corporation":false,"usgs":false,"family":"Ciucci","given":"P.","affiliations":[{"id":81866,"text":"University of Rome La Sapienza","active":true,"usgs":false}],"preferred":false,"id":951224,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"van Manen, Frank T. 0000-0001-5340-8489 fvanmanen@usgs.gov","orcid":"https://orcid.org/0000-0001-5340-8489","contributorId":2267,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank","email":"fvanmanen@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":951225,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273453,"text":"70273453 - 2026 - The 1912 Ms 7.2 earthquake in the Denali region of central Alaska","interactions":[],"lastModifiedDate":"2026-02-09T16:24:50.573071","indexId":"70273453","displayToPublicDate":"2025-11-20T09:50:26","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The 1912 Ms 7.2 earthquake in the Denali region of central Alaska","title":"The 1912 Ms 7.2 earthquake in the Denali region of central Alaska","docAbstract":"

The 2002 Mw 7.9 earthquake in central Alaska ruptured 340 km on three faults—Susitna Glacier thrust fault, Denali fault, Totschunda fault—crossing both the Richardson Highway and the Alaska Pipeline. Its occurrence prompted renewed interest in historical large earthquakes that possibly originated on the Denali fault. One of these earthquakes was a Ms 7.2 event on July 7, 1912, which we revisit with two approaches: (1) probabilistic relocation of the epicenter using globally recorded arrival times, and (2) compilation and reassessment of shaking intensity reports to estimate a macroseismic epicenter. Our preferred instrumental epicenter is west of the Parks Highway and in agreement with the maximum‐reported shaking, which was from the Parker–Browne expedition of Denali. We also relocated a Ms 6.4 aftershock, whose epicenter is 11 km from the mainshock. Candidate faults for the 1912 earthquake include the Denali fault, the McLeod Creek thrust fault, and the Kantishna Hills thrust fault. Future analysis of active faults, paleoseismic results, 1912 instrumental data, and 1912 felt reports may help in interpreting the fault and mechanism of the 1912 earthquake.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120250150","usgsCitation":"Tape, C., Aquino-Lopez, M., Bemis, S., Haeussler, P., and Ginnaty, J., 2026, The 1912 Ms 7.2 earthquake in the Denali region of central Alaska: Bulletin of the Seismological Society of America, v. 116, no. 1, p. 322-354, https://doi.org/10.1785/0120250150.","productDescription":"33 p.","startPage":"322","endPage":"354","ipdsId":"IP-182077","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":498617,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":498703,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0120250150","text":"Publisher Index Page"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -169.43690719365998,\n 66.58359872082357\n ],\n [\n -169.43690719365998,\n 53.57022459464301\n ],\n [\n -130.19988331357695,\n 53.57022459464301\n ],\n [\n -130.19988331357695,\n 66.58359872082357\n ],\n [\n -169.43690719365998,\n 66.58359872082357\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"116","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Tape, Carl","contributorId":219960,"corporation":false,"usgs":false,"family":"Tape","given":"Carl","email":"","affiliations":[{"id":40098,"text":"Geophysical Institute, 2156 Koyukuk Drive, University of Alaska Fairbanks, Fairbanks, AK 99775","active":true,"usgs":false}],"preferred":false,"id":953755,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aquino-Lopez, Marco","contributorId":331553,"corporation":false,"usgs":false,"family":"Aquino-Lopez","given":"Marco","affiliations":[],"preferred":false,"id":953756,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bemis, Sean","contributorId":175460,"corporation":false,"usgs":false,"family":"Bemis","given":"Sean","affiliations":[{"id":27572,"text":"UK","active":true,"usgs":false}],"preferred":false,"id":953757,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haeussler, Peter J. 0000-0002-1503-6247","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":219956,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter J.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":953758,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ginnaty, Jessalyn","contributorId":365145,"corporation":false,"usgs":false,"family":"Ginnaty","given":"Jessalyn","affiliations":[{"id":7211,"text":"University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":953759,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273661,"text":"70273661 - 2026 - Demographic mechanisms of snowshoe hare population cycles in Yukon, Canada","interactions":[],"lastModifiedDate":"2026-01-22T15:15:07.211159","indexId":"70273661","displayToPublicDate":"2025-11-20T09:09:45","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Demographic mechanisms of snowshoe hare population cycles in Yukon, Canada","docAbstract":"
  1. One hundred years have elapsed since Charles Elton (1924) described the periodic fluctuations in North American snowshoe hare abundance, yet mechanisms underlying 9–11-year population cycles in snowshoe hares continue to be debated.
  2. We applied multistate capture–mark–recapture models to long-term field data (1977–2020) based on >20,000 captures of >7000 unique snowshoe hares (Lepus americanus) from Kluane Lake, Yukon, Canada, to estimate and model state-specific demographic parameters. Juveniles had the lowest and reproductive adult females the highest apparent survival. Apparent survival of all sex-age classes was highest during the mid- and late-breeding seasons and was generally better during the increase phase.
  3. Conditional probability of females transitioning from non-reproductive to reproductive state, and reproductive females remaining in the reproductive state, increased substantially as the population transitioned from low to increase phase throughout the breeding season.
  4. Analysis of stage-structured matrix population models revealed that population-dynamic characteristics were strongly phase-specific, and also varied across seasons, with the increase phases being characterized by high monthly asymptotic population growth rate. Snowshoe hares experienced short stage-specific generation time during the early breeding season across all phases; they experienced relatively long generation time during the increase and low phase of the mid-breeding season, and the increase and peak phase of the late breeding season.
  5. Elasticity analyses showed that asymptotic population growth rate was proportionately most sensitive to changes in survival of adult females across all phases and seasons. However, retrospective life table response experiment analysis showed that rapid growth of the snowshoe hare populations during the increase phase was due to improvements in reproductive transitions and pre-weaning survival, whereas population declines are caused primarily by reduced survival (primarily, pre-weaning survival), with reduced reproductive transitions and smaller litter sizes playing a secondary role.
  6. Our results suggest that cyclic populations of snowshoe hares are characterized by complex demographic and population-dynamic patterns, depending on phase of the cycle and reproductive season, and that different demographic mechanisms underlie rapid population growth during the increase phase, and swift population declines as the population transitions from the peak to the decline phase. Because our study represents the first comprehensive demographic and population-dynamic study of a cyclic population, similar studies would be needed to test the generalities of our conclusions. Whereas density-dependent predation has been shown to be the primary cause of phase-related changes in survival, future research should focus on identifying mechanisms underlying phase-related changes in reproductive parameters.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.70169","usgsCitation":"Oli, M., Kenney, A.J., Boonstra, R., Boutin, S., Murray, D., Jung, T., Hines, J.E., and Krebs, C., 2026, Demographic mechanisms of snowshoe hare population cycles in Yukon, Canada: Journal of Animal Ecology, v. 95, no. 1, p. 21-38, https://doi.org/10.1111/1365-2656.70169.","productDescription":"18 p.","startPage":"21","endPage":"38","ipdsId":"IP-172112","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":498834,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Yukon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -140.9400718299732,\n 69.8062004406541\n ],\n [\n -141.019076363196,\n 60.33570031084318\n ],\n [\n -138.83560491443717,\n 60.14159250940736\n ],\n [\n -123.79814159038987,\n 60.023363477181476\n ],\n [\n -124.69952661660894,\n 61.1513424859549\n ],\n [\n -126.77625083819495,\n 60.94315027125572\n ],\n [\n -130.50198375940147,\n 63.86278204053164\n ],\n [\n -132.5453799160344,\n 65.20621371936573\n ],\n [\n -132.51008279551598,\n 66.06374914289063\n ],\n [\n -133.6821615156545,\n 66.27096365817678\n ],\n [\n -133.8993162710563,\n 66.95600944851316\n ],\n [\n -136.16958990873138,\n 67.10093721619617\n ],\n [\n -136.4898216968826,\n 69.58171511005943\n ],\n [\n -140.9400718299732,\n 69.8062004406541\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"95","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Oli, Madan K.","contributorId":352359,"corporation":false,"usgs":false,"family":"Oli","given":"Madan K.","affiliations":[{"id":84187,"text":"Department of Wildlife Ecology and Conservation, Newins-Zeigler Hall, University of Florida, Gainesville, FL 32611","active":true,"usgs":false}],"preferred":false,"id":954220,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kenney, Alice J","contributorId":223008,"corporation":false,"usgs":false,"family":"Kenney","given":"Alice","email":"","middleInitial":"J","affiliations":[],"preferred":false,"id":954221,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boonstra, Rudy","contributorId":304127,"corporation":false,"usgs":false,"family":"Boonstra","given":"Rudy","affiliations":[{"id":65976,"text":"Department of Biological Sciences, University of Toronto Scarborough","active":true,"usgs":false}],"preferred":false,"id":954222,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boutin, Stan","contributorId":223010,"corporation":false,"usgs":false,"family":"Boutin","given":"Stan","email":"","affiliations":[],"preferred":false,"id":954223,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Murray, Dennis","contributorId":195717,"corporation":false,"usgs":false,"family":"Murray","given":"Dennis","affiliations":[],"preferred":false,"id":954224,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jung, Thomas","contributorId":221306,"corporation":false,"usgs":false,"family":"Jung","given":"Thomas","affiliations":[{"id":33063,"text":"Yukon Department of Environment","active":true,"usgs":false}],"preferred":false,"id":954225,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hines, James E. 0000-0001-5478-7230 jhines@usgs.gov","orcid":"https://orcid.org/0000-0001-5478-7230","contributorId":146530,"corporation":false,"usgs":true,"family":"Hines","given":"James","email":"jhines@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":954226,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Krebs, Charles J","contributorId":146456,"corporation":false,"usgs":false,"family":"Krebs","given":"Charles J","affiliations":[{"id":16701,"text":"Dept. of Zoology, University of British Columbia, Vancouver","active":true,"usgs":false}],"preferred":false,"id":954227,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70273676,"text":"70273676 - 2026 - Revised length categories and standard weight equation for Northern Pikeminnow","interactions":[],"lastModifiedDate":"2026-02-09T16:26:34.310994","indexId":"70273676","displayToPublicDate":"2025-11-19T07:58:06","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Revised length categories and standard weight equation for Northern Pikeminnow","docAbstract":"

Objective

Length and weight indices (e.g., proportional size distribution, relative weight) provide standardized benchmarks that are useful for comparing groups of fish, identifying ecological interactions, and evaluating the effect of management actions. However, the current length categories and standard weight (Ws) equation for Northern Pikeminnow Ptychocheilus oregonensis, a species of important management focus in the Pacific Northwest, were developed using limited data, unclear methods, and no validation. As such, we sought to revise the length categories and Ws equation for Northern Pikeminnow.

Methods

We used the all-tackle world record to develop length categories for Northern Pikeminnow. We compiled data from 100,663 Northern Pikeminnow from 114 populations in Idaho, Montana, Oregon, Washington, and British Columbia to develop a revised Ws equation. Most fish were measured in fork length (FL), so we converted total lengths (TLs) to FLs using the equation TL = −2.301 + 0.916(FL); r2 = 0.998. We used the regression line percentile, linear empirical percentile (EmP), and quadratic EmP methods to develop 50th percentile and 75th percentile Ws equations. We then assessed length-related biases in our Ws equations and the previously published equation.

Results

We propose minimum FLs of 17 cm (7 inches; stock), 26 cm (10 inches; quality), 35 cm (14 inches; preferred), 41 cm (16 inches; memorable), and 51 cm (20 inches; trophy) for proportional size distribution calculations. The previously published Ws equation exhibited substantial length-related biases according to the Willis and weighted empirical quartile method tests. The EmP 50th-percentile Ws equation was the only equation that we evaluated that did not exhibit length-related bias. The EmP 50th-percentile Ws equation was the best performing equation (i.e., no length-related bias detected). The equation is log10(Ws) = −5.258 + 3.135(FL), where Ws is in grams and FL is in millimeters. The equation is valid for Northern Pikeminnow 90–580 mm FL.

Conclusion

The length categories, length conversion, and Ws equation presented here will aid fisheries professionals in the study and management of Northern Pikeminnow populations.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/najfmt/vqaf098","usgsCitation":"Voss, N.S., and Quist, M.C., 2026, Revised length categories and standard weight equation for Northern Pikeminnow: North American Journal of Fisheries Management, v. 46, no. 1, p. 259-268, https://doi.org/10.1093/najfmt/vqaf098.","productDescription":"10 p.","startPage":"259","endPage":"268","ipdsId":"IP-177544","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":498831,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"British Columbia, Idaho, Montana, Oregon Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -138.4324395813577,\n 59.93550068574072\n ],\n [\n -124.59147799532579,\n 48.218313763848954\n ],\n [\n -124.44719667247625,\n 42.02251544705595\n ],\n [\n -111.25221612249314,\n 42.02213493751374\n ],\n [\n -111.51121202805528,\n 44.67068539388384\n ],\n [\n -104.24225388242749,\n 45.10223423645201\n ],\n [\n -103.92744104084073,\n 48.83423714465319\n ],\n [\n -113.58199201609347,\n 49.298105422493\n ],\n [\n -118.8005677418272,\n 53.905347228735906\n ],\n [\n -119.63389382864163,\n 59.938025103368716\n ],\n [\n -138.4324395813577,\n 59.93550068574072\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"46","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Voss, Nicholas S.","contributorId":241654,"corporation":false,"usgs":false,"family":"Voss","given":"Nicholas","middleInitial":"S.","affiliations":[{"id":48382,"text":"KBR, Albuquerque Seismological Laboratory","active":true,"usgs":false}],"preferred":false,"id":954283,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Quist, Michael C. 0000-0001-8268-1839","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":207142,"corporation":false,"usgs":true,"family":"Quist","given":"Michael","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":954284,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70272762,"text":"70272762 - 2026 - Phylogenomics of endangered troglobiotic rove beetles (Coleoptera: Staphylinidae: Pselaphinae) from central Texas karst regions","interactions":[],"lastModifiedDate":"2025-12-09T14:19:48.043829","indexId":"70272762","displayToPublicDate":"2025-11-18T08:45:24","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Phylogenomics of endangered troglobiotic rove beetles (Coleoptera: Staphylinidae: Pselaphinae) from central Texas karst regions","docAbstract":"

The karst habitats of central Texas, USA, are home to an array of endemic subterranean-obligate (troglobiotic) invertebrates. This includes several species of rove beetles (Coleoptera: Staphylinidae: Pselaphinae). Here we developed a molecular dataset using sequence capture of Ultra-Conserved Elements (UCEs) from the Coleoptera-UCE-1.1 K v1 baits kit. These data were used to assess species relationships and patterns of diversification in this group, specifically among species within the genera Batrisodes Reitter 1882 and Texamaurops Barr and Steeves 1963; with a specific focus on the relationships of the federally listed as endangered B. texanus Chandler 1992 and B.cryptotexanus Chandler and Reddell 2001. Our final datasets consisted of 69 individuals (two genera, Batrisodes [five species] and Texamaurops [one species], from 34 localities), and a molecular dataset of 658,560 aligned base pairs across 672 UCE loci. Concatenated and species-tree phylogenetic analyses resolved all troglobiotic taxa as a monophyletic group. Within the Travis and Williamson County troglobionts, we recovered four well-supported clades that generally follow hypothesized geologic barriers to dispersal formalized as karst fauna regions (KFRs). A northward pattern of diversification was observed among these groups: (A) Texamaurops reddelli Barr and Steeves 1963 (Jollyville Plateau KFR); (B) Batrisodes reyesi Chandler 1997 (West Cedar Park and Post Oak Ridge KFRs); (C) B. reyesi (McNeil-Round Rock KFR); (D) B. cryptotexanus + B. texanus (Georgetown and North Williamson KFRs). The morphologically defined Batrisodes texanus and B. cryptotexanus were not reciprocally monophyletic, nor clustered into two unique groups in clustering analyses of single nucleotide polymorphisms (SNPs). Rather, we found support for five major subclades and five to seven genetic clusters. These results suggest that diversification and subsequent isolation of clades may have occurred with the progressive availability of karst habitats over time in the North Williamson and Georgetown KFRs resulting from the interactions of faulting, geologic structure, and drainage basin evolution. Comparison with recent U.S. Fish and Wildlife Service cave habitat resiliency assessments indicated that four genetic clusters occur within at least partially resilient habitat, whereas three are confined to caves with low or impaired resiliency. Integrating genetic results presented here along with results of other molecular studies of co-occurring troglobiotic invertebrates supports considering additional geological substructure within the North Williamson KFR in conservation efforts for these rare and unique lineages and systems.

","language":"English","publisher":"Springer Nature","doi":"10.1007/s10592-025-01733-y","usgsCitation":"Wood, P.L., Chandler, D.S., Gladstone, N.S., Mitelberg, A., Smith, J.G., White, K., Wilson, J., and Vandergast, A.G., 2026, Phylogenomics of endangered troglobiotic rove beetles (Coleoptera: Staphylinidae: Pselaphinae) from central Texas karst regions: Conservation Genetics, v. 27, 6, 17 p., https://doi.org/10.1007/s10592-025-01733-y.","productDescription":"6, 17 p.","ipdsId":"IP-180017","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":497406,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10592-025-01733-y","text":"Publisher Index Page"},{"id":497192,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"central Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -98.73468272013145,\n 32.73358466173568\n ],\n [\n -98.73468272013145,\n 30.565934073926556\n ],\n [\n -96.59794469143151,\n 30.565934073926556\n ],\n [\n -96.59794469143151,\n 32.73358466173568\n ],\n [\n -98.73468272013145,\n 32.73358466173568\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"27","noUsgsAuthors":false,"publicationDate":"2025-11-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Wood, Perry L. Jr. 0000-0003-3767-5274","orcid":"https://orcid.org/0000-0003-3767-5274","contributorId":363405,"corporation":false,"usgs":true,"family":"Wood","given":"Perry","suffix":"Jr.","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chandler, Donald S.","contributorId":363406,"corporation":false,"usgs":false,"family":"Chandler","given":"Donald","middleInitial":"S.","affiliations":[{"id":12667,"text":"University of New Hampshire","active":true,"usgs":false}],"preferred":false,"id":951628,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gladstone, Nicholas S.","contributorId":363407,"corporation":false,"usgs":false,"family":"Gladstone","given":"Nicholas","middleInitial":"S.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":951629,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mitelberg, Anna 0000-0002-3309-9946 amitelberg@usgs.gov","orcid":"https://orcid.org/0000-0002-3309-9946","contributorId":218945,"corporation":false,"usgs":true,"family":"Mitelberg","given":"Anna","email":"amitelberg@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951630,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Julia G. 0000-0001-9841-1809","orcid":"https://orcid.org/0000-0001-9841-1809","contributorId":221086,"corporation":false,"usgs":true,"family":"Smith","given":"Julia","email":"","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951631,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"White, Kemble","contributorId":363408,"corporation":false,"usgs":false,"family":"White","given":"Kemble","affiliations":[{"id":86694,"text":"Cambrian Environmental","active":true,"usgs":false}],"preferred":false,"id":951632,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wilson, Jenny","contributorId":363409,"corporation":false,"usgs":false,"family":"Wilson","given":"Jenny","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":951633,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vandergast, Amy G. 0000-0002-7835-6571","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":57201,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951634,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70275253,"text":"70275253 - 2026 - Evaluating sediment transport and metal sorption in the San Juan River watershed","interactions":[],"lastModifiedDate":"2026-04-24T15:11:04.207082","indexId":"70275253","displayToPublicDate":"2025-11-17T09:58:06","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":24008,"text":"Geochemistry; Exploration, Environment, Analysis","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating sediment transport and metal sorption in the San Juan River watershed","docAbstract":"

The physical and chemical characteristics of sediment influence the transport of metals in rivers. The San Juan River and its tributaries are located in the Four Corners Region in the southwestern United States and the watershed contains a wide variety of potential metal sources. Comparisons of past and present sediment data provide insight into the effects of seasonality and storm events on the transport of sediment within a watershed. Comparisons suggest finer (<0.63 µm) sediment particles increase at a greater rate during intense storm events than coarser sediment particles. These fine, clay-sized sediments have a greater potential for metal sorption. Statistical analyses compared upper and lower portions of the San Juan River. Results show that total elemental concentration decreases in sediments (1785.15 μg l−1) and that concentrations increase in the aqueous phase (2063.08 μg l−1) downstream in the San Juan River. Analyses using geochemical and scanning electron microscopy with energy dispersive spectroscopy suggest that sediment clay particles are the most likely constituent to transport metals in the San Juan River. Metal transport is further aided by metal oxide coatings that develop on the surfaces of larger particles. Increases in aggregation of fine-grained particles in the downstream portions of the San Juan River are also likely to bind elements within sediments, which can act as both a source and sink for metals in the lower watershed.

CEC, geochemistry, PSD
","language":"English","publisher":"Geological Society of London","doi":"10.1144/geochem2024-038","usgsCitation":"Whiting, M.R., Bosch, K., Van Zante, C., Brown, J., Mixon, R., Blake, J., and Ratigan, Z., 2026, Evaluating sediment transport and metal sorption in the San Juan River watershed: Geochemistry; Exploration, Environment, Analysis, v. 25, no. 4, geochem2024-038, 12 p., https://doi.org/10.1144/geochem2024-038.","productDescription":"geochem2024-038, 12 p.","ipdsId":"IP-167661","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":503514,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah","otherGeospatial":"San Juan River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111,\n 38\n ],\n [\n -106.5,\n 38\n ],\n [\n -106.5,\n 35.75\n ],\n [\n -111,\n 35.75\n ],\n [\n -111,\n 38\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"25","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-11-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Whiting, Michael Ray 0009-0000-9749-6601","orcid":"https://orcid.org/0009-0000-9749-6601","contributorId":368917,"corporation":false,"usgs":true,"family":"Whiting","given":"Michael","middleInitial":"Ray","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960241,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bosch, K. 0000-0002-3874-4609","orcid":"https://orcid.org/0000-0002-3874-4609","contributorId":369065,"corporation":false,"usgs":true,"family":"Bosch","given":"K.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960242,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Zante, C.A. 0000-0003-0266-9827","orcid":"https://orcid.org/0000-0003-0266-9827","contributorId":334817,"corporation":false,"usgs":true,"family":"Van Zante","given":"C.A.","email":"","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960243,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Jeb E. 0000-0001-7671-2379","orcid":"https://orcid.org/0000-0001-7671-2379","contributorId":225088,"corporation":false,"usgs":true,"family":"Brown","given":"Jeb E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960244,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mixon, Rachel Lynn 0000-0001-9863-6784","orcid":"https://orcid.org/0000-0001-9863-6784","contributorId":328595,"corporation":false,"usgs":true,"family":"Mixon","given":"Rachel Lynn","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960245,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blake, Johanna 0000-0003-4667-0096","orcid":"https://orcid.org/0000-0003-4667-0096","contributorId":217272,"corporation":false,"usgs":true,"family":"Blake","given":"Johanna","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960246,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ratigan, Zoreya (Zev) Eden 0009-0005-1075-8266","orcid":"https://orcid.org/0009-0005-1075-8266","contributorId":334365,"corporation":false,"usgs":true,"family":"Ratigan","given":"Zoreya (Zev) Eden","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960247,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70272599,"text":"70272599 - 2026 - Population demographics of invasive Silver Carp in a Great Plains river network","interactions":[],"lastModifiedDate":"2026-02-09T16:10:02.36101","indexId":"70272599","displayToPublicDate":"2025-11-17T08:22:27","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Population demographics of invasive Silver Carp in a Great Plains river network","docAbstract":"

Objective

Knowledge of invasive Silver Carp Hypophthalmichthys molitrix population demographics and distributions may inform estimates of efforts necessary to achieve reductions in abundance and identify locations to conduct removal. Although extensively studied in other parts of their invasive range (e.g., Mississippi and Illinois rivers), less is known regarding Silver Carp population demographics in Great Plains rivers and streams. As such, this study characterized Silver Carp population demographics along an invasion gradient in a Great Plains river network containing multiple hydrologically unique river reaches and tributaries.

Methods

Boat and tote-barge electrofishing surveys were conducted within the lower Platte River basin in the spring, summer, and fall of 2022 and 2023. Lapilli otoliths were collected for assessment of age, growth, and annual mortality. Information on sex also was collected. A spatial assessment of differences in population demographics was performed between core and periphery regions of the population.

Results

There were 1,528 Silver Carp collected. A spatial difference in relative abundance was observed and was associated with changes in body condition and total length along the longitudinal gradient of the lower Platte River basin. Silver Carp sex ratios were male-skewed across the lower Platte River basin (1.6:1), particularly in reaches near the invasion front (10.1:1).

Conclusions

Silver Carp population demographics within the lower Platte River basin were aligned with an establishing population characterized by rapid individual growth and skewed sex ratios. Broadscale variation in population characteristics, including growth and size structure, suggested density-dependent processes. Silver Carp occurred throughout the study area, indicating that braided Great Plains streams are susceptible to invasion. This study provided insight into Silver Carp population demographics in the lower Platte River basin and may provide useful information for the development of Silver Carp management plans in similar Great Plains streams.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/najfmt/vqaf105","usgsCitation":"Logan, B., Pegg, M., Steffensen, K.D., and Spurgeon, J.J., 2026, Population demographics of invasive Silver Carp in a Great Plains river network: North American Journal of Fisheries Management, v. 46, no. 1, p. 70-83, https://doi.org/10.1093/najfmt/vqaf105.","productDescription":"14 p.","startPage":"70","endPage":"83","ipdsId":"IP-177767","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":496833,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Logan, Blake","contributorId":362968,"corporation":false,"usgs":false,"family":"Logan","given":"Blake","affiliations":[{"id":81786,"text":"Nebraska Game & Parks Commission","active":true,"usgs":false}],"preferred":false,"id":950886,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pegg, Mark","contributorId":203266,"corporation":false,"usgs":false,"family":"Pegg","given":"Mark","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":950887,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Steffensen, Kirk D.","contributorId":196924,"corporation":false,"usgs":false,"family":"Steffensen","given":"Kirk","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":950888,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spurgeon, Jonathan J. 0000-0002-6888-5867","orcid":"https://orcid.org/0000-0002-6888-5867","contributorId":304259,"corporation":false,"usgs":true,"family":"Spurgeon","given":"Jonathan","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":950889,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70272657,"text":"70272657 - 2026 - Groundwater spatial variability within an atoll island: Assessing shallow aquifer heterogeneity with geophysical and physicochemical measurements","interactions":[],"lastModifiedDate":"2025-12-02T17:00:54.237091","indexId":"70272657","displayToPublicDate":"2025-11-10T10:52:39","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater spatial variability within an atoll island: Assessing shallow aquifer heterogeneity with geophysical and physicochemical measurements","docAbstract":"

This study examines the spatial variability of shallow groundwater on Dhigelaabadhoo Island using electromagnetic induction surveys, groundwater monitoring, and sediment analyses. The research reveals how variations in island morphology—such as differences in elevation, reef flat width, and sediment composition—affect the spatial distribution of groundwater lenses and the overall aquifer dynamics. Saltwater intrusion is especially pronounced in low elevated areas, with narrow reef flat plate and areas where higher hydraulic conductivity—driven by the presence of coarser sediments—is observed, whereas regions characterized by finer sediments, higher elevation, and wider reef flat plates tend to support more symmetric and less saline groundwater lenses. The geophysical investigations reveal that tidal oscillations alter groundwater movement by markedly changing water levels and conductivity, thereby underscoring the critical need to account for temporal dynamics in atoll coastal aquifer systems and the importance of integrating tidal dynamics into the aquifer zone. The findings highlight the significant role of intrinsic morphological and external hydrodynamic factors in shaping groundwater distribution on atoll islands, offering critical insights for sustainable freshwater resource management.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2025.134560","usgsCitation":"Tobon-Velazquez, N., Masselink, G., O’Hare, T., Bates, R., Oberle, F., Storlazzi, C.D., and Conley, D.C., 2026, Groundwater spatial variability within an atoll island: Assessing shallow aquifer heterogeneity with geophysical and physicochemical measurements: Journal of Hydrology, v. 664, no. Part C, 134560, 12 p., https://doi.org/10.1016/j.jhydrol.2025.134560.","productDescription":"134560, 12 p.","ipdsId":"IP-179435","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":497086,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2025.134560","text":"Publisher Index Page"},{"id":496997,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Maldives","otherGeospatial":"Dhigelaabadhoo Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 73.15068157166235,\n 0.22367037148083568\n ],\n [\n 73.15068157166235,\n 0.20321725337372243\n ],\n [\n 73.16693210711523,\n 0.20321725337372243\n ],\n [\n 73.16693210711523,\n 0.22367037148083568\n ],\n [\n 73.15068157166235,\n 0.22367037148083568\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"664","issue":"Part C","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tobon-Velazquez, Nidia","contributorId":363182,"corporation":false,"usgs":false,"family":"Tobon-Velazquez","given":"Nidia","affiliations":[{"id":86638,"text":"U.Plymouth","active":true,"usgs":false}],"preferred":false,"id":951226,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Masselink, Gerd","contributorId":224307,"corporation":false,"usgs":false,"family":"Masselink","given":"Gerd","email":"","affiliations":[{"id":40854,"text":"UP","active":true,"usgs":false}],"preferred":false,"id":951227,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Hare, T.J.","contributorId":363183,"corporation":false,"usgs":false,"family":"O’Hare","given":"T.J.","affiliations":[{"id":86638,"text":"U.Plymouth","active":true,"usgs":false}],"preferred":false,"id":951228,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bates, Robert","contributorId":363184,"corporation":false,"usgs":false,"family":"Bates","given":"Robert","affiliations":[{"id":86639,"text":"U.St.Andrews","active":true,"usgs":false}],"preferred":false,"id":951229,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oberle, Ferdinand K.J. 0000-0001-8871-3619","orcid":"https://orcid.org/0000-0001-8871-3619","contributorId":219183,"corporation":false,"usgs":true,"family":"Oberle","given":"Ferdinand","middleInitial":"K.J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":951230,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":951231,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Conley, D. C.","contributorId":363186,"corporation":false,"usgs":false,"family":"Conley","given":"D.","middleInitial":"C.","affiliations":[],"preferred":false,"id":951232,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70272719,"text":"70272719 - 2026 - Variation in soil organic carbon across a latitudinal chronosequence of mangrove poleward expansion","interactions":[],"lastModifiedDate":"2025-12-05T16:10:48.459229","indexId":"70272719","displayToPublicDate":"2025-11-10T10:03:52","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Variation in soil organic carbon across a latitudinal chronosequence of mangrove poleward expansion","docAbstract":"

The critical carbon sink provided by coastal wetlands, known as blue carbon, can be affected by multiple aspects of climate change. One important example is warming-induced mangrove poleward expansion, which is shifting dominant plant cover across tropical–temperate transitional zones and altering ecosystem structure and function. We examined how mangrove expansion affects soil organic carbon (SOC) quantity and source, using measurements of SOC density and isotopic signatures (δ13C and δ15N) at 15 sites across Florida’s west coast (USA). The sampled sites represent examples of three expansion stages: a latitudinal chronosequence of mangrove expansion, spanning mature mangroves in the south, former ecotones at mid latitudes, and current ecotones in the north. Our analyses of soil core data indicate that mangrove expansion stage is a significant predictor of SOC density, δ13C, and δ15N, but not C:N ratio. Current ecotones exhibited significantly lower SOC density but higher δ13C, suggesting a greater contribution of preexisting C4 salt marshes, while no difference was found between former ecotones and mature mangroves. SOC density, δ13C, and δ15N were found to vary with mangrove aboveground biomass, stage, and sedimentary setting along the latitudinal gradient. For all three mangrove expansion stages, SOC density decreased with depth, but δ13C showed no vertical trend, suggesting that mangroves contributed organic carbon to the entire 20-cm soil profile. The observed regional trend of SOC across mangrove expansion stages highlights the ecological impacts of warming-driven vegetation shifts in coastal wetlands, though further evidence is needed to determine the primary drivers and mechanisms, while also considering local and regional environmental factors.

","language":"English","publisher":"Springer","doi":"10.1007/s10021-025-01021-3","usgsCitation":"Kang, Y., Assavapanuvat, P., Osland, M., and Kaplan, D.A., 2026, Variation in soil organic carbon across a latitudinal chronosequence of mangrove poleward expansion: Ecosystems, v. 29, no. 1, 2, 16 p., https://doi.org/10.1007/s10021-025-01021-3.","productDescription":"2, 16 p.","ipdsId":"IP-177314","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":497146,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -81.32160751894271,\n 25.054902179361207\n ],\n [\n -80.63726301014596,\n 25.258298250546616\n ],\n [\n -81.8527400049156,\n 27.227832172418474\n ],\n [\n -82.33280191711681,\n 28.84154022988217\n ],\n [\n -83.06821596269705,\n 29.7501155011185\n ],\n [\n -84.31432949640975,\n 30.536225351129545\n ],\n [\n -84.93739349566832,\n 30.13070589776649\n ],\n [\n -85.98944614179287,\n 30.421797338238022\n ],\n [\n -86.25501595921092,\n 30.342496828735193\n ],\n [\n -85.20296443450356,\n 29.55483610748952\n ],\n [\n -84.09984046033792,\n 29.989262856477296\n ],\n [\n -82.94564883333466,\n 28.859434680310557\n ],\n [\n -83.07843222809143,\n 27.699106909720854\n ],\n [\n -81.32160751894271,\n 25.054902179361207\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"29","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-11-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Kang, Yiyang","contributorId":305365,"corporation":false,"usgs":false,"family":"Kang","given":"Yiyang","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":951430,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Assavapanuvat, Prakhin","contributorId":363279,"corporation":false,"usgs":false,"family":"Assavapanuvat","given":"Prakhin","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":951431,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Osland, Michael J. 0000-0001-9902-8692","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":206443,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":951432,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kaplan, David A.","contributorId":363282,"corporation":false,"usgs":false,"family":"Kaplan","given":"David","middleInitial":"A.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":951433,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}