{"pageNumber":"93","pageRowStart":"2300","pageSize":"25","recordCount":185143,"records":[{"id":70265960,"text":"70265960 - 2025 - Simulated effects of future water availability and protected species habitat in a perennial wetland, Santa Barbara County, California","interactions":[],"lastModifiedDate":"2025-04-23T13:18:13.267716","indexId":"70265960","displayToPublicDate":"2025-04-21T11:18:45","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Simulated effects of future water availability and protected species habitat in a perennial wetland, Santa Barbara County, California","docAbstract":"This study evaluates the potential water availability in Barka Slough and the effects of changing hydrological conditions on the aquatic habitat of five protected species. Barka Slough is a historically perennial wetland at the downstream western end of the San Antonio Creek Valley watershed (SACVW). A previously published hydrologic model of the SACVW for 1948–2018 was extended to include 2019–2021 and then modified to simulate the future years of 2022–2051. Two models simulating the future years of 2022–2051 were constructed, each with different climate inputs: (1) a repeated historical climate and (2) a 2070-centered Drier Extreme Warming climate (2070 DEW). The model with the 2070 DEW climate had warmer temperatures and an increase in average annual precipitation driven by larger, albeit more infrequent, precipitation events than the model with the historical climate. Simulated groundwater pumpage resulted in cumulative groundwater storage depletion and groundwater-level decline in Barka Slough in both future models. The simulations indicate that Barka Slough may transition from a perennial to an ephemeral wetland. Streamflow, stream disconnection, and depth to groundwater are key habitat metrics for federally listed species in Barka Slough. Future seasonal conditions for each metric are more likely to affect federally listed species’ habitats under 2070 DEW climatic conditions. Future seasonal streamflow volume may negatively impact unarmored threespine stickleback (Gasterosteus aculeatus williamsoni) and tidewater goby (Eucyclogobis newberryi) habitats. Future seasonal stream disconnection may negatively impact the unarmored threespine stickleback habitat. Future groundwater-level decline may negatively impact Gambel’s watercress (Nasturtium gambelii) and La Graciosa thistle (Cirsium scariosum var. loncholepis) habitats and could influence the ability to use Barka Slough as a restoration or reintroduction site for these species. Results from this study can be used to inform water management decisions to sustain future groundwater availability in the SACVW.
","language":"English","publisher":"MDPI","doi":"10.3390/w17081238","usgsCitation":"Cromwell, G., Culling, D., Young, M.J., and Larsen, J., 2025, Simulated effects of future water availability and protected species habitat in a perennial wetland, Santa Barbara County, California: Water, v. 17, no. 8, 1238, 29 p., https://doi.org/10.3390/w17081238.","productDescription":"1238, 29 p.","ipdsId":"IP-168161","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":488483,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w17081238","text":"Publisher Index Page"},{"id":484844,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Santa Barbara County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.5333,\n 34.85\n ],\n [\n -120.5333,\n 34.6833\n ],\n [\n -120.1,\n 34.6833\n ],\n [\n -120.1,\n 34.85\n ],\n [\n -120.5333,\n 34.85\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-04-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Cromwell, Geoffrey 0000-0001-8481-405X gcromwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8481-405X","contributorId":5920,"corporation":false,"usgs":true,"family":"Cromwell","given":"Geoffrey","email":"gcromwell@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":934165,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Culling, Daniel Philip 0000-0002-6585-0650","orcid":"https://orcid.org/0000-0002-6585-0650","contributorId":299662,"corporation":false,"usgs":true,"family":"Culling","given":"Daniel Philip","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":934166,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Young, Matthew J. 0000-0001-9306-6866 mjyoung@usgs.gov","orcid":"https://orcid.org/0000-0001-9306-6866","contributorId":206255,"corporation":false,"usgs":true,"family":"Young","given":"Matthew","email":"mjyoung@usgs.gov","middleInitial":"J.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":934167,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Larsen, Joshua 0000-0002-1218-800X jlarsen@usgs.gov","orcid":"https://orcid.org/0000-0002-1218-800X","contributorId":272403,"corporation":false,"usgs":true,"family":"Larsen","given":"Joshua","email":"jlarsen@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":934168,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70266049,"text":"70266049 - 2025 - Mahi-mahi metacouplings: Quantifying human–nature interactions in dolphinfish (Coryphaena hippurus) fisheries","interactions":[],"lastModifiedDate":"2025-04-24T16:03:22.35888","indexId":"70266049","displayToPublicDate":"2025-04-21T11:01:01","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":21212,"text":"Global Sustainability","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Mahi-mahi metacouplings: Quantifying human–nature interactions in dolphinfish (Coryphaena hippurus) fisheries","title":"Mahi-mahi metacouplings: Quantifying human–nature interactions in dolphinfish (Coryphaena hippurus) fisheries","docAbstract":"Fisheries encompass humans and fish, but fisheries researchers rarely model human–nature interactions over space and time. I filled this information gap for dolphinfish (Coryphaena hippurus), a popular, widely distributed species that supports industrial, artisanal, recreational, and subsistence fisheries. Dolphinfish human–nature interactions showed a long-term up-and-down pattern in 1950–2019. Recent declines in catch mirror decreases in abundance and size that have been observed in parts of the species’ range. This research provides a robust perspective on the recreational, economic, cultural, and nutritional significance of dolphinfish while creating an approach for evaluating human–nature interactions in fisheries worldwide.","language":"English","publisher":"Cambridge University Press","doi":"10.1017/sus.2025.3","usgsCitation":"Carlson, A.K., 2025, Mahi-mahi metacouplings: Quantifying human–nature interactions in dolphinfish (Coryphaena hippurus) fisheries: Global Sustainability, https://doi.org/10.1017/sus.2025.3.","ipdsId":"IP-167357","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":487905,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/sus.2025.3","text":"Publisher Index Page"},{"id":484991,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2025-04-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Carlson, Andrew Kenneth 0000-0002-6681-0853","orcid":"https://orcid.org/0000-0002-6681-0853","contributorId":340581,"corporation":false,"usgs":true,"family":"Carlson","given":"Andrew","email":"","middleInitial":"Kenneth","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":934452,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70266823,"text":"70266823 - 2025 - Do mule deer surf peaks in forage quality while on summer range?","interactions":[],"lastModifiedDate":"2025-05-13T16:20:08.069689","indexId":"70266823","displayToPublicDate":"2025-04-21T09:13:35","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Do mule deer surf peaks in forage quality while on summer range?","docAbstract":"Many animals track ephemeral peaks in food abundance and quality that propagate across landscapes. Migrating ungulates, in particular, track waves of newly emerging plants from low-elevation winter ranges to high-elevation summer ranges—known as “green-wave surfing.” Because plants lose crude protein and gain insoluble fiber with maturation, ruminants are expected to exploit peaks in forage quality among individual plants (i.e., Forage Maturation Hypothesis). Although ample evidence supports the long-standing hypothesis that migratory ungulates surf peaks in forage quality during migration, the hypothesis that ungulates track peaks in forage quality at a small scale (i.e., microsurf while on summer range) remains less known. We studied a partially migratory population of mule deer (Odocoileus hemionus) in Wyoming, USA, to understand whether temperate ungulates optimize the use of high-quality forage as plants grow and senesce on disparate summer ranges. Specifically, we evaluated how crude protein, digestible energy, and relative abundance changed throughout the growing season and whether deer altered their diet to reflect species-specific changes in plant phenology. In support of the Forage Maturation Hypothesis, forage quality declined as large-scale patterns of phenology progressed away from a remotely sensed metric of peak green-up for most plant species on the summer ranges of deer that migrated short (<50 km), medium (50–130 km), and long distances (>130 km). Declining rates in forage quality among plant species were heterogeneous, providing deer with the phenological diversity required to microsurf. Deer changed their diet throughout the growing season and prioritized the consumption of some plants, including Rosa woodsii and Purshia tridentata, as the rank of forage quality increased (p < 0.01). In light of the complexities common to studies on foraging behavior, our findings suggest that deer may have some potential to microsurf on summer range when heterogeneity in resource phenology is prevalent. Moreover, our findings validate the accuracy of remote sensing in quantifying peak forage quality for plants within sagebrush shrublands and montane habitats.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.70068","usgsCitation":"Ortega, A., Monteith, K., Wise, B., and Kauffman, M., 2025, Do mule deer surf peaks in forage quality while on summer range?: Ecology, v. 106, no. 4, e70068, 13 p., https://doi.org/10.1002/ecy.70068.","productDescription":"e70068, 13 p.","ipdsId":"IP-175837","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":485833,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Red Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -108.61251696820828,\n 41.870702451833466\n ],\n [\n -108.61251696820828,\n 41.68608333179466\n ],\n [\n -108.09014176480665,\n 41.68608333179466\n ],\n [\n -108.09014176480665,\n 41.870702451833466\n ],\n [\n -108.61251696820828,\n 41.870702451833466\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"106","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-04-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Ortega, Anna","contributorId":210781,"corporation":false,"usgs":false,"family":"Ortega","given":"Anna","affiliations":[],"preferred":false,"id":936844,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Monteith, Kevin L.","contributorId":287801,"corporation":false,"usgs":false,"family":"Monteith","given":"Kevin L.","affiliations":[{"id":12729,"text":"UW","active":true,"usgs":false}],"preferred":false,"id":936845,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wise, Benjamin","contributorId":189800,"corporation":false,"usgs":false,"family":"Wise","given":"Benjamin","affiliations":[],"preferred":false,"id":936846,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":202921,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":936847,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70269925,"text":"70269925 - 2025 - Ecologically informed solar enables a sustainable energy transition in U.S. croplands","interactions":[],"lastModifiedDate":"2025-08-07T16:16:55.195675","indexId":"70269925","displayToPublicDate":"2025-04-21T09:12:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2982,"text":"PNAS","active":true,"publicationSubtype":{"id":10}},"title":"Ecologically informed solar enables a sustainable energy transition in U.S. croplands","docAbstract":"United States (U.S.) croplands are ideal recipient environments for solar photovoltaic (PV) energy because they are flat and have a high solar resource. Perceived threats of solar to agriculture have led some stakeholders to suggest that croplands be exclusively used to produce food. However, 12 million hectares of U.S. croplands, an area about the size of New York State, are already dedicated to corn grown for ethanol (i.e., biofuel), an energy product that requires significantly more land than solar PV per unit energy. Ecosystem service benefits of an ecologically-informed approach to solar development (i.e., ecovoltaics), coupled with significant land-use advantages over corn ethanol, make solar an attractive solution for a sustainable energy transition in croplands. Here, we evaluated how the conversion of a small fraction of corn-ethanol croplands into ecovoltaic solar facilities might improve land-use efficiency of energy generation, enhance ecosystem services, and provide landscape diversification. Through spatial analyses, we determined that converting just 3.2% of land currently used for corn ethanol would increase the share of utility-scale solar energy in the U.S. from 3.9% to 13%. We also identified target locations where strategic conversion of corn ethanol to solar PV co-located with perennial vegetation could filter excess nutrients transported from adjacent farm runoff, diversify and connect agricultural landscapes, and provide local wildlife habitat. In contrast to the common perception of land-use competition and land scarcity in the energy transition, our findings highlight benefits of co-located energy landscapes that integrate fundamental principles of energy development and sustainable agroecosystems.","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.2501605122","usgsCitation":"Sturchio, M.A., Gallaher, A., and Grodsky, S.M., 2025, Ecologically informed solar enables a sustainable energy transition in U.S. croplands: PNAS, v. 122, no. 17, e2501605122, 7 p., https://doi.org/10.1073/pnas.2501605122.","productDescription":"e2501605122, 7 p.","ipdsId":"IP-173910","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":493805,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.2501605122","text":"Publisher Index 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A.","contributorId":359128,"corporation":false,"usgs":false,"family":"Sturchio","given":"Matthew","middleInitial":"A.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":944978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gallaher, Adam","contributorId":359129,"corporation":false,"usgs":false,"family":"Gallaher","given":"Adam","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":944979,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grodsky, Steven Mark 0000-0003-0846-7230","orcid":"https://orcid.org/0000-0003-0846-7230","contributorId":328517,"corporation":false,"usgs":true,"family":"Grodsky","given":"Steven","email":"","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":944980,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70266004,"text":"70266004 - 2025 - Comparative properties of saponitic fault gouge and serpentinite muds cored from mud volcanoes of the Mariana subduction zone","interactions":[],"lastModifiedDate":"2025-04-23T13:53:49.116771","indexId":"70266004","displayToPublicDate":"2025-04-21T08:46:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":21205,"text":"Geophysics, Geochemistry, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Comparative properties of saponitic fault gouge and serpentinite muds cored from mud volcanoes of the Mariana subduction zone","docAbstract":"We obtained 12 core samples for physical and chemical characterization from three serpentinite mud volcanoes (Yinazao, Asùt Tesoru, and Fantangisña) located on the forearc of the Mariana subduction system, that were drilled during International Ocean Discovery Program Expedition 366. Two samples from the Fantangisña mud volcano are interpreted to be clay-rich fault gouges derived from the subduction channel. Their bulk compositions are intermediate between the serpentinites and oceanic basalts. The oceanic crustal materials in the gouges have been thoroughly metasomatized and the serpentinites extensively altered to the trioctahedral, Mg-rich smectite clays saponite and corrensite. The only relict phases in clasts of crustal rock are accessory Ti- and P-bearing minerals. The two fault gouge samples have lower frictional strengths (μ < 0.2) than the serpentinites (μ = 0.2–0.4), and their measured permeabilities are also somewhat lower. Their physical and compositional properties correspond to saponitic gouges from other faults that juxtapose serpentinite against crustal rocks, in particular gouges from the two creeping traces of the San Andreas Fault recovered in the core from the San Andreas Fault Observatory at Depth. The décollement beneath Fantangisña mud volcano is thus expected to be very weak and likely characterized by stable slip.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024GC012100","usgsCitation":"Moore, D.E., Morrow, C., Lockner, D., and Bekins, B.A., 2025, Comparative properties of saponitic fault gouge and serpentinite muds cored from mud volcanoes of the Mariana subduction zone: Geophysics, Geochemistry, Geosystems, v. 26, no. 4, e2024GC012100, 18 p., https://doi.org/10.1029/2024GC012100.","productDescription":"e2024GC012100, 18 p.","ipdsId":"IP-170745","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":489647,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P95C9OKI","text":"USGS data release","linkHelpText":"Whole-rock chemistry of core from serpentinite mud volcanoes, Northern Mariana subduction zone"},{"id":489646,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YWFGFR","text":"USGS data release","linkHelpText":"Data Release for Data Report: Permeability, porosity, and frictional strength of core samples from IODP Expedition 366 in the Mariana forearc"},{"id":488495,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024gc012100","text":"Publisher Index Page"},{"id":484908,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mariana subduction zone","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 144,\n 19\n ],\n [\n 144,\n 13\n ],\n [\n 148.5,\n 13\n ],\n [\n 148.5,\n 19\n ],\n [\n 144,\n 19\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"26","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-04-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, Diane E. 0000-0002-8641-1075 dmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-8641-1075","contributorId":2704,"corporation":false,"usgs":true,"family":"Moore","given":"Diane","email":"dmoore@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":934299,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morrow, C.A.","contributorId":353674,"corporation":false,"usgs":false,"family":"Morrow","given":"C.A.","affiliations":[{"id":12608,"text":"USGS, retired","active":true,"usgs":false}],"preferred":false,"id":934300,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lockner, David A. 0000-0001-8630-6833","orcid":"https://orcid.org/0000-0001-8630-6833","contributorId":257574,"corporation":false,"usgs":true,"family":"Lockner","given":"David A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":934301,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bekins, Barbara A. 0000-0002-1411-6018 babekins@usgs.gov","orcid":"https://orcid.org/0000-0002-1411-6018","contributorId":1348,"corporation":false,"usgs":true,"family":"Bekins","given":"Barbara","email":"babekins@usgs.gov","middleInitial":"A.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":934302,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70267284,"text":"70267284 - 2025 - Using DNA barcoding to evaluate freshwater mussel and fish-host relationships in the Flint River (Georgia, USA)","interactions":[],"lastModifiedDate":"2025-05-19T15:32:21.932397","indexId":"70267284","displayToPublicDate":"2025-04-21T08:26:44","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Using DNA barcoding to evaluate freshwater mussel and fish-host relationships in the Flint River (Georgia, USA)","docAbstract":"Freshwater mussels have a unique life history in which larval mussels (glochidia) act as obligate parasites to fish hosts. Host selectivity may be species specific, and identification of host fish is a critical step in conservation planning for individual mussel species. The Flint River harbors ~23% of the freshwater mussel (order Unionida) diversity in the state of Georgia, USA. Nine species in the basin are state or federally listed, and local diversity is threatened by shifting hydrologic conditions, increasing habitat loss, and sedimentation. However, knowledge on host species is lacking for nearly 40% of mussel species in the Flint River, limiting the efforts of conservation managers. In this study, we assessed the use of host fish by mussels by identifying the species of naturally encysted mussel larvae and transformed juveniles found on wild-caught fishes. Infested fishes were collected in the summers of 2021 and 2022 and held in laboratory conditions. Glochidia and juvenile mussels were collected as they excised from live hosts and were identified by DNA barcoding with the cytochrome oxidase c subunit I locus. Twenty-eight unique mussel–host relationships were identified, 27 of which were considered novel when cross-referenced to the existing mussel–host databases and peer-reviewed literature. Our data build upon knowledge of host use in unionids and further demonstrate the importance of understanding patterns in wild host use.
","language":"English","publisher":"University of Chicago Press","doi":"10.1086/734714","usgsCitation":"Robinson, H., Wares, J., Cowie, G., Williams, S., Scott, B.F., Rowe, M.T., Johnson, N., and Hazelton, P., 2025, Using DNA barcoding to evaluate freshwater mussel and fish-host relationships in the Flint River (Georgia, USA): Freshwater Science, 14 p., https://doi.org/10.1086/734714.","productDescription":"14 p.","ipdsId":"IP-160278","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":486159,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","otherGeospatial":"Flint River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -85.09753023326218,\n 33.35794111464041\n ],\n [\n -85.09753023326218,\n 30.70192265047531\n ],\n [\n -83.10505296880376,\n 30.70192265047531\n ],\n [\n -83.10505296880376,\n 33.35794111464041\n ],\n [\n -85.09753023326218,\n 33.35794111464041\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2025-04-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Robinson, Hayley A.","contributorId":355549,"corporation":false,"usgs":false,"family":"Robinson","given":"Hayley A.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":937586,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wares, John P.","contributorId":355552,"corporation":false,"usgs":false,"family":"Wares","given":"John P.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":937587,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cowie, Gail M.","contributorId":355554,"corporation":false,"usgs":false,"family":"Cowie","given":"Gail M.","affiliations":[{"id":84771,"text":"Albany State University","active":true,"usgs":false}],"preferred":false,"id":937588,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Shayla D.","contributorId":355555,"corporation":false,"usgs":false,"family":"Williams","given":"Shayla D.","affiliations":[{"id":84771,"text":"Albany State University","active":true,"usgs":false}],"preferred":false,"id":937589,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scott, Ben F","contributorId":334186,"corporation":false,"usgs":false,"family":"Scott","given":"Ben","email":"","middleInitial":"F","affiliations":[{"id":6608,"text":"San Diego State University","active":true,"usgs":false}],"preferred":false,"id":937590,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rowe, Matthew T.","contributorId":150928,"corporation":false,"usgs":false,"family":"Rowe","given":"Matthew","email":"","middleInitial":"T.","affiliations":[{"id":13588,"text":"Central Michigan University","active":true,"usgs":false}],"preferred":false,"id":937591,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Nathan 0000-0001-5167-1988","orcid":"https://orcid.org/0000-0001-5167-1988","contributorId":216879,"corporation":false,"usgs":true,"family":"Johnson","given":"Nathan","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":937592,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hazelton, Peter D.","contributorId":340493,"corporation":false,"usgs":false,"family":"Hazelton","given":"Peter D.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":937593,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70273070,"text":"70273070 - 2025 - Interspecific effects of invasive wild pigs (Sus scrofa) on native nine-banded armadillos (Dasypus novemcinctus)","interactions":[],"lastModifiedDate":"2025-12-15T14:45:22.18155","indexId":"70273070","displayToPublicDate":"2025-04-21T08:24:54","publicationYear":"2025","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":"Interspecific effects of invasive wild pigs (Sus scrofa) on native nine-banded armadillos (Dasypus novemcinctus)","title":"Interspecific effects of invasive wild pigs (Sus scrofa) on native nine-banded armadillos (Dasypus novemcinctus)","docAbstract":"Biological invasions pose significant risks to ecosystems and native species. Wild pigs (Sus scrofa) are a highly detrimental invasive species in North America, directly and indirectly affecting native species. Co-occurrence of wild pigs and native species may lead to interspecific interactions that alter ecological communities. Accordingly, we investigated spatial and temporal factors influencing detection and occupancy of Eurasian Wild Pig and Nine-banded Armadillo (Dasypus novemcinctus) before examining interspecific effects. We analyzed camera-trap data collected from August to September 2021 using a hierarchical modeling framework to estimate detection and occupancy of both species individually (single-species analyses) and concurrently (conditional co-occurrence analyses). We observed higher Wild Pig detection rates and space use in late summer and in areas with greater riparian cover, respectively. Armadillo detection increased linearly throughout our sampling season and in response to precipitation. Moreover, armadillo detection was 3.5 to 5.1× higher at sites used by wild pigs, regardless of whether wild pigs were detected during a survey period. Occupancy of armadillo was best explained by a quadratic trend in site elevation but did not depend on the presence of wild pigs. Our results indicate that wild pigs may influence armadillo detection (or site-use intensity), but not occupancy, therefore revealing nuanced interspecific interactions. Between species, we observed high overlap in diel activity but significantly different activity peaks, with armadillos being strictly nocturnal and wild pigs being crepuscular but with more cathemeral activity, suggesting that fine-scale temporal partitioning may have occurred. Our results provide insights into the influence of a large-bodied and destructive invasive species (Wild Pig) on a smaller, ecologically important native species (Nine-banded Armadillo).
","language":"English","publisher":"Oxford Academic","doi":"10.1093/jmammal/gyaf023","usgsCitation":"Broadway, M.S., Todaro, H.M., Koeck, M.M., Dotterweich, C.N., Cain, S.A., Chitwood, M., and Lonsinger, R.C., 2025, Interspecific effects of invasive wild pigs (Sus scrofa) on native nine-banded armadillos (Dasypus novemcinctus): Journal of Mammalogy, v. 106, no. 4, p. 976-988, https://doi.org/10.1093/jmammal/gyaf023.","productDescription":"13 p.","startPage":"976","endPage":"988","ipdsId":"IP-163684","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":497716,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jmammal/gyaf023","text":"Publisher Index Page"},{"id":497469,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","otherGeospatial":"James Collins Wildlife Management Area, Sans Bois Wildlife Management Area, southeast Oklahoma","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -98.05973004796076,\n 35.30322610651754\n ],\n [\n -98.05973004796076,\n 33.72739259313137\n ],\n [\n -94.40186391242315,\n 33.72739259313137\n ],\n [\n -94.40186391242315,\n 35.30322610651754\n ],\n [\n -98.05973004796076,\n 35.30322610651754\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"106","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-04-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Broadway, Matthew S.","contributorId":364085,"corporation":false,"usgs":false,"family":"Broadway","given":"Matthew","middleInitial":"S.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":952222,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Todaro, Holly M.","contributorId":364088,"corporation":false,"usgs":false,"family":"Todaro","given":"Holly","middleInitial":"M.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":952223,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Koeck, Molly M.","contributorId":364091,"corporation":false,"usgs":false,"family":"Koeck","given":"Molly","middleInitial":"M.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":952224,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dotterweich, Courtney N.","contributorId":364094,"corporation":false,"usgs":false,"family":"Dotterweich","given":"Courtney","middleInitial":"N.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":952225,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cain, Sarah A.","contributorId":364097,"corporation":false,"usgs":false,"family":"Cain","given":"Sarah","middleInitial":"A.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":952226,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chitwood, M. Colter","contributorId":364100,"corporation":false,"usgs":false,"family":"Chitwood","given":"M. Colter","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":952227,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lonsinger, Robert Charles 0000-0002-1040-7299","orcid":"https://orcid.org/0000-0002-1040-7299","contributorId":340524,"corporation":false,"usgs":true,"family":"Lonsinger","given":"Robert","email":"","middleInitial":"Charles","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":952228,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70267983,"text":"70267983 - 2025 - The scientific benefits of a statewide, standardized, coastal wetland monitoring program in Hawaiʻi","interactions":[],"lastModifiedDate":"2025-06-10T15:03:10.608987","indexId":"70267983","displayToPublicDate":"2025-04-21T07:55:53","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"The scientific benefits of a statewide, standardized, coastal wetland monitoring program in Hawaiʻi","docAbstract":"In this viewpoint, we provide a scientific justification for a statewide, standardized, coastal wetland monitoring program for Hawaiʻi, USA. Hawaiian coastal wetlands provide important habitat for endangered waterbirds, invertebrates, plants, and the Hawaiian hoary bat (ʻōpeʻapeʻa; Lasiurus semotus) as well as support Indigenous food systems. Currently, numerous agencies and groups in Hawaiʻi collect data on coastal wetlands, but information is not typically shared and methods are not standardized. A statewide, standardized, coastal wetland monitoring program with a centralized database would allow managers to keep better track of progress toward restoration goals, population changes of conservation-reliant species, outbreaks and impacts of avian botulism, rates of coastal salinization, and many other critical issues across space and time. Monitoring combined with targeted research could fill critical knowledge gaps about the types, functions, values, and biodiversity of Hawaiian coastal wetlands. Ultimately, the improved knowledge gained from long-term coastal wetland monitoring could inform landscape-scale restoration actions and adaptive management of coastal wetlands under sea-level rise and climate change.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.71293","usgsCitation":"Drexler, J.Z., Raine, H., Harrington, C., Winter, K., Fraiola, K., Browning, J., Burgett, J., Burney, D.A., Falinski, K.A., Fisher, S., Harmon, K., Idle, J., Iglecia, M.N., Johnson, M.V., Keir, M.J., Letchworth, K., Moy, K., Olegario, A., Price, M., Reed, J.M., Rii, Y.M., Rounds, R.A., van Rees, C.B., and Wolfe, B.T., 2025, The scientific benefits of a statewide, standardized, coastal wetland monitoring program in Hawaiʻi: Ecology and Evolution, v. 15, no. 4, e71293, 5 p., https://doi.org/10.1002/ece3.71293.","productDescription":"e71293, 5 p.","ipdsId":"IP-172033","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":490628,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.71293","text":"Publisher Index 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,{"id":70273707,"text":"70273707 - 2025 - Invasive African clawed frogs (Xenopus laevis) in Washington State: Status, response efforts, and lessons learned","interactions":[],"lastModifiedDate":"2026-01-23T15:23:53.494021","indexId":"70273707","displayToPublicDate":"2025-04-21T07:53:13","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17102,"text":"Frontiers in Amphibian and Reptile Science","active":true,"publicationSubtype":{"id":10}},"title":"Invasive African clawed frogs (Xenopus laevis) in Washington State: Status, response efforts, and lessons learned","docAbstract":"The African clawed frog (ACF, Xenopus laevis), which is indigenous to sub-Saharan Africa, is an aquatic invasive species known to have severe ecological impacts on native fauna when introduced into non-endemic regions. In 2015, ACFs were detected in Washington State, U.S. for the first time, and the species is now documented at three cities across western Washington: Lacey, Bothell, and Issaquah. We cataloged the known ACF occurrences, early management efforts, biological data about the frogs, and status of these invasive populations at the three sites from 2015–2023. The ACFs appear to be established in at least three watersheds in the Puget Sound region despite substantial effort at eradicating them at one site. Presence of ACFs in watersheds that lack surface connectivity implies independent introduction events, and the capture of frogs in multiple subbasins in the same watershed may reflect the potential for further spread. Because the ACF is nocturnal and otherwise behaviorally and visually highly cryptic, other established populations may go undetected. Where the ACFs are largely confined to stormwater ponds — as many of our current observations suggest — eradication may still be possible, though a substantial, focused effort would be required. In addition, significant refinement of eradication approaches will be needed to ensure effectiveness in topographically and vegetatively complex Pacific Northwest aquatic environments.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/famrs.2025.1524644","usgsCitation":"Emmenegger, E.J., Lavier, R.A., Struck, E.J., Tyurina, V.P., Eskew, E.A., Friesen, M.R., Taylor, M.A., Bueren, E.K., Kyle, D.R., Schultz, J.M., Pleus, A., Visser, R.H., Ojala-Barbour, R., Anderson, C.D., Jensen, J.S., Keller, M., Jenkinson, T.S., Haman, K.H., Capps, T.R., Warheit, K.I., Quinn, T., Bush, J., and Lambert, M.R., 2025, Invasive African clawed frogs (Xenopus laevis) in Washington State: Status, response efforts, and lessons learned: Frontiers in Amphibian and Reptile Science, v. 3, 1524644, 11 p., https://doi.org/10.3389/famrs.2025.1524644.","productDescription":"1524644, 11 p.","ipdsId":"IP-171265","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":499309,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/famrs.2025.1524644","text":"Publisher Index Page"},{"id":498991,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.28988239487207,\n 48.297835122381656\n ],\n [\n -123.28988239487207,\n 46.68514765401895\n ],\n [\n -120.31175718362054,\n 46.68514765401895\n ],\n [\n -120.31175718362054,\n 48.297835122381656\n ],\n [\n -123.28988239487207,\n 48.297835122381656\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"3","noUsgsAuthors":false,"publicationDate":"2025-04-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Emmenegger, Eveline J. 0000-0001-5217-6030 eemmenegger@usgs.gov","orcid":"https://orcid.org/0000-0001-5217-6030","contributorId":202027,"corporation":false,"usgs":true,"family":"Emmenegger","given":"Eveline","email":"eemmenegger@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":954361,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lavier, Rebecca A.","contributorId":365526,"corporation":false,"usgs":false,"family":"Lavier","given":"Rebecca","middleInitial":"A.","affiliations":[{"id":87142,"text":"Trout Unlimited, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":954362,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Struck, Emily J.","contributorId":365527,"corporation":false,"usgs":false,"family":"Struck","given":"Emily","middleInitial":"J.","affiliations":[{"id":87143,"text":"Pacific Lutheran University, Department of Biology, Tacoma, Washington","active":true,"usgs":false}],"preferred":false,"id":954363,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tyurina, Vasilisa P.","contributorId":365528,"corporation":false,"usgs":false,"family":"Tyurina","given":"Vasilisa","middleInitial":"P.","affiliations":[{"id":87143,"text":"Pacific Lutheran University, Department of Biology, Tacoma, Washington","active":true,"usgs":false}],"preferred":false,"id":954364,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eskew, Evan A.","contributorId":365529,"corporation":false,"usgs":false,"family":"Eskew","given":"Evan","middleInitial":"A.","affiliations":[{"id":87143,"text":"Pacific Lutheran University, Department of Biology, Tacoma, Washington","active":true,"usgs":false}],"preferred":false,"id":954365,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Friesen, Megan R.","contributorId":365530,"corporation":false,"usgs":false,"family":"Friesen","given":"Megan","middleInitial":"R.","affiliations":[{"id":87144,"text":"Saint Martin’s University, College of Arts and Sciences - 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,{"id":70266494,"text":"70266494 - 2025 - Object detection-assisted workflow facilitates cryptic snake monitoring","interactions":[],"lastModifiedDate":"2025-11-18T16:44:06.826627","indexId":"70266494","displayToPublicDate":"2025-04-20T08:58:04","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5347,"text":"Remote Sensing in Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Object detection-assisted workflow facilitates cryptic snake monitoring","docAbstract":"Camera traps are an important tool used to study rare and cryptic animals, including snakes. Time-lapse photography can be particularly useful for studying snakes that often fail to trigger a camera's infrared motion sensor due to their ectothermic nature. However, the large datasets produced by time-lapse photography require labor-intensive classification, limiting their use in large-scale studies. While many artificial intelligence-based object detection models are effective at identifying mammals in images, their ability to detect snakes is unproven. Here, we used camera data to evaluate the efficacy of an object detection model to rapidly and accurately detect snakes. We classified images manually to the species level and compared this with a hybrid review workflow where the model removed blank images followed by a manual review. Using a ≥0.05 model confidence threshold, our hybrid review workflow correctly identified 94.5% of blank images, completed image classification 6× faster, and detected large (>66 cm) snakes as well as manual review. Conversely, the hybrid review method often failed to detect all instances of a snake in a string of images and detected fewer small (<66 cm) snakes than manual review. However, most relevant ecological information requires only a single detection in a sequence of images, and study design changes could likely improve the detection of smaller snakes. Our findings suggest that an object detection-assisted hybrid workflow can greatly reduce time spent manually classifying data-heavy time-lapse snake studies and facilitate ecological monitoring for large snakes.
","language":"English","publisher":"Zoological Society of London","doi":"10.1002/rse2.70009","usgsCitation":"Miller, S., Kirkland, M., Hart, K., and McCleery, R.A., 2025, Object detection-assisted workflow facilitates cryptic snake monitoring: Remote Sensing in Ecology and Conservation, v. 11, no. 5, p. 606-617, https://doi.org/10.1002/rse2.70009.","productDescription":"12 p.","startPage":"606","endPage":"617","ipdsId":"IP-171959","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":488156,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rse2.70009","text":"Publisher Index Page"},{"id":485551,"rank":2,"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 -80.3162930521356,\n 25.76295442989739\n ],\n [\n -80.73353749057956,\n 25.76295442989739\n ],\n [\n -80.73353749057956,\n 25.272501320110464\n ],\n [\n -80.3162930521356,\n 25.272501320110464\n ],\n [\n -80.3162930521356,\n 25.76295442989739\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"11","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-04-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Storm","contributorId":354750,"corporation":false,"usgs":false,"family":"Miller","given":"Storm","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":936283,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirkland, Michael","contributorId":301069,"corporation":false,"usgs":false,"family":"Kirkland","given":"Michael","email":"","affiliations":[{"id":36603,"text":"SFWMD","active":true,"usgs":false}],"preferred":false,"id":936284,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":220333,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":936285,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCleery, Robert A.","contributorId":139849,"corporation":false,"usgs":false,"family":"McCleery","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":936286,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70265926,"text":"70265926 - 2025 - Landsat surface product validation instrumentation: The BigMAC exercise","interactions":[],"lastModifiedDate":"2025-04-22T16:52:41.054497","indexId":"70265926","displayToPublicDate":"2025-04-19T11:52:30","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3380,"text":"Sensors","active":true,"publicationSubtype":{"id":10}},"title":"Landsat surface product validation instrumentation: The BigMAC exercise","docAbstract":"Users of Earth remotely sensed optical imagery are increasingly demanding a surface reflectance or surface temperature product instead of the top-of-atmosphere products that have been produced historically. Validating the accuracy of surface products remains a difficult task since it involves assessment across a range of atmospheric profiles, as well as many different land surface types. Thus, standard approaches from the satellite calibration community do not apply and new technologies need to be developed. The Big Multi-Agency Campaign (BigMAC) was developed to assess current technologies that might be used for validation of surface products derived from satellite imagery, with emphasis on Landsat. Conducted in August, 2021, in Brookings, SD, USA, a variety of measurement technologies were fielded and assessed for accuracy, precision, and deployability. Each technology exhibited its strengths and weaknesses. Handheld spectroradiometers are capable of surface reflectance measurements with accuracies in the 0.01 - 0.02 absolute reflectance units, but are expensive to deploy. Unmanned Aircraft System (UAS)-based radiometers have the potential of making measurements with similar accuracy, but are also difficult to deploy. Mirror-based empirical line methods showed improving accuracy potential, but deployment also remains an issue. However, there are inexpensive radiometers designed for long-term autonomous use that exhibited good accuracy and precision, as well as being easy to deploy. Thermal measurement technologies showed accuracy potential in the 1 - 2K range, and some easily deployable instruments are available. Results from BigMAC indicate there are technologies available today to begin making operational surface reflectance/temperature measurements and strong potential for improvements in the future.","language":"English","publisher":"MDPI","doi":"10.3390/s25082586","usgsCitation":"Helder, D., Shrestha, M., Mann, J.J., Maddox, E., Irwin, J., Leigh, L., Gerace, A., Eon, R., Falcon, L., Conran, D., Raqueno, N.G., Bauch, T., Durell, C., and Russell, B., 2025, Landsat surface product validation instrumentation: The BigMAC exercise: Sensors, v. 25, no. 8, 2586, 33 p., https://doi.org/10.3390/s25082586.","productDescription":"2586, 33 p.","ipdsId":"IP-142668","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":488487,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/s25082586","text":"Publisher Index 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,{"id":70265927,"text":"70265927 - 2025 - The demise of an icehouse: Calibrating the end of the LPIA","interactions":[],"lastModifiedDate":"2025-04-28T15:20:16.920953","indexId":"70265927","displayToPublicDate":"2025-04-19T11:46:39","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1844,"text":"Global and Planetary Change","active":true,"publicationSubtype":{"id":10}},"title":"The demise of an icehouse: Calibrating the end of the LPIA","docAbstract":"Earth has experienced three complete icehouse-greenhouse turnovers in the Phanerozoic, with the Late Paleozoic Ice Age (LPIA) recognized as the last and most extreme icehouse. The nature, scale and dynamics of the LPIA are characterized by periods of intense glaciation, which are often interrupted by short-lived (1–2 Myrs) intervals associated with ice-free or distal from ice conditions. In this study, we focus on constraining the icehouse-greenhouse turnover across southcentral Gondwana (SCG) reporting new high-resolution U![\"single](\"https://sdfestaticassets-us-east-1.sciencedirectassets.com/shared-assets/55/entities/sbnd.gif\")
Pb zircon CA-ID-TIMS ages from immediate postglacial facies in the Kalahari and Karoo basins. We integrate these ages with published UPb zircon CA-ID-TIMS ages (n = 20) to build a stratigraphic framework for SCG, to investigate the duration and nature of the demise of the LPIA. We confirm the stepwise deglaciation of Gondwana over a ca. 20 Myr period, with deglaciation occurring first in the Paraná Basin at ca. 300 Ma and in the Karoo Basin by 282 Ma. Low-latitude marine carbonates deposited contemporaneously with the final demise of ice is characterized by a major shift towards isotopically depleted δ13C and δ18O values. We interpret the perturbations in stable isotopes records to be driven by either mantle outgassing or the release of methane and the addition of glacial melt water to the paleo-ocean during warming. The presented stratigraphic framework is built in intracratonic basins, far from any syn- tectonic affects, suggesting a largely climatic driver behind deglaciation events.
","language":"English","publisher":"Elsiver","doi":"10.1016/j.gloplacha.2025.104843","usgsCitation":"Griffis, N.P., Mundil, R., Montañez, I., Dietrich, P., Le Heron, D., Iannuzzi, R., Linol, B., Mottin, T., Richey, J., and Kettler, C., 2025, The demise of an icehouse: Calibrating the end of the LPIA: Global and Planetary Change, v. 252, 104843, 14 p., https://doi.org/10.1016/j.gloplacha.2025.104843.","productDescription":"104843, 14 p.","ipdsId":"IP-169939","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":496386,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://insu.hal.science/insu-05043245","text":"External Repository"},{"id":484848,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"252","noUsgsAuthors":false,"publicationDate":"2025-04-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Griffis, Neil Patrick 0000-0002-2506-7549","orcid":"https://orcid.org/0000-0002-2506-7549","contributorId":330218,"corporation":false,"usgs":true,"family":"Griffis","given":"Neil","email":"","middleInitial":"Patrick","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":934030,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mundil, Roland","contributorId":337129,"corporation":false,"usgs":false,"family":"Mundil","given":"Roland","affiliations":[{"id":38176,"text":"Berkeley Geochronology Center","active":true,"usgs":false}],"preferred":false,"id":934031,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Montañez, Isabel","contributorId":353585,"corporation":false,"usgs":false,"family":"Montañez","given":"Isabel","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":934032,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dietrich, Pierre","contributorId":337133,"corporation":false,"usgs":false,"family":"Dietrich","given":"Pierre","email":"","affiliations":[{"id":80980,"text":"Géosciences-Rennes","active":true,"usgs":false}],"preferred":false,"id":934033,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Le Heron, Daniel","contributorId":337131,"corporation":false,"usgs":false,"family":"Le Heron","given":"Daniel","email":"","affiliations":[{"id":80978,"text":"Department of Geodynamics and Sedimentology","active":true,"usgs":false}],"preferred":false,"id":934034,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Iannuzzi, Roberto","contributorId":337134,"corporation":false,"usgs":false,"family":"Iannuzzi","given":"Roberto","email":"","affiliations":[{"id":80981,"text":"Departamento de Paleontologia e Estratigrafia, Universidade Federal Rio Grande do Sul","active":true,"usgs":false}],"preferred":false,"id":934035,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Linol, Bastien","contributorId":353586,"corporation":false,"usgs":false,"family":"Linol","given":"Bastien","affiliations":[{"id":68971,"text":"Nelson Mandela University","active":true,"usgs":false}],"preferred":false,"id":934036,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mottin, Thammy","contributorId":353587,"corporation":false,"usgs":false,"family":"Mottin","given":"Thammy","affiliations":[{"id":28206,"text":"Universidade Federal do Paraná","active":true,"usgs":false}],"preferred":false,"id":934037,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Richey, John","contributorId":353588,"corporation":false,"usgs":false,"family":"Richey","given":"John","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":934038,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kettler, Christoph","contributorId":353589,"corporation":false,"usgs":false,"family":"Kettler","given":"Christoph","affiliations":[{"id":12677,"text":"University of Vienna","active":true,"usgs":false}],"preferred":false,"id":934039,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70270754,"text":"70270754 - 2025 - Habitat and predator influences on the spatial ecology of nine-banded armadillos","interactions":[],"lastModifiedDate":"2025-08-22T17:13:03.576077","indexId":"70270754","displayToPublicDate":"2025-04-19T10:02:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1398,"text":"Diversity","active":true,"publicationSubtype":{"id":10}},"title":"Habitat and predator influences on the spatial ecology of nine-banded armadillos","docAbstract":"Mesopredator suppression has implications for community structure, biodiversity, and ecosystem function, but mesopredators with physical defenses may not avoid apex predators. We investigated nine-banded armadillos (Dasypus novemcinctus) in southwestern Oklahoma (USA) to evaluate if a species with physical defenses was influenced by a dominant predator, the coyote (Canis latrans). We sampled nine-banded armadillos and coyotes with motion-activated cameras. We used single-species and conditional two-species occupancy models to assess the influences of environmental factors and coyotes on nine-banded armadillo occurrence and site-use intensity (i.e., detection). We used camera-based detections to characterize the diel activity of each species and their overlap. Nine-banded armadillo occupancy was greater at sites closer to cover, with lower slopes, and further from water, whereas coyote space use was greater at higher elevations; both species were positively associated with recent burns. Nine-banded armadillo occurrence was not influenced by coyotes, but site-use intensity was suppressed by the presence of coyotes. Nine-banded armadillos (strictly nocturnal) and coyotes (predominantly nocturnal) had a high overlap in summer diel activity. Nine-banded armadillos are ecosystem engineers but are often considered a threat to species of concern and/or a nuisance. Thus, understanding the role of interspecific interactions on nine-banded armadillos has important implications for conservation and management.
","language":"English","publisher":"MDPI","doi":"10.3390/d17040290","usgsCitation":"Lonsinger, R.C., Murley, B.P., McDonald, D.T., Fallon, C.E., and White, K.M., 2025, Habitat and predator influences on the spatial ecology of nine-banded armadillos: Diversity, v. 17, no. 4, 290, 19 p., https://doi.org/10.3390/d17040290.","productDescription":"290, 19 p.","ipdsId":"IP-176619","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":495050,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/d17040290","text":"Publisher Index Page"},{"id":494540,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Wichita Mountains Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -98.82516483790342,\n 34.84404355598089\n ],\n [\n -98.82516483790342,\n 34.674776209073414\n ],\n [\n -98.51270854835755,\n 34.674776209073414\n ],\n [\n -98.51270854835755,\n 34.84404355598089\n ],\n [\n -98.82516483790342,\n 34.84404355598089\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-04-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Lonsinger, Robert Charles 0000-0002-1040-7299","orcid":"https://orcid.org/0000-0002-1040-7299","contributorId":340524,"corporation":false,"usgs":true,"family":"Lonsinger","given":"Robert","email":"","middleInitial":"Charles","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":946998,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murley, Ben P.","contributorId":360371,"corporation":false,"usgs":false,"family":"Murley","given":"Ben","middleInitial":"P.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":946999,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McDonald, Daniel T.","contributorId":360373,"corporation":false,"usgs":false,"family":"McDonald","given":"Daniel","middleInitial":"T.","affiliations":[{"id":25470,"text":"U.S. Fish & Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":947000,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fallon, Christine E.","contributorId":360375,"corporation":false,"usgs":false,"family":"Fallon","given":"Christine","middleInitial":"E.","affiliations":[{"id":25470,"text":"U.S. Fish & Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":947001,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, Kara M.","contributorId":360378,"corporation":false,"usgs":false,"family":"White","given":"Kara","middleInitial":"M.","affiliations":[{"id":7211,"text":"University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":947002,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70266024,"text":"70266024 - 2025 - Microbiome data management in action workshop: Atlanta, GA, USA, June 12–13, 2024","interactions":[],"lastModifiedDate":"2025-04-24T15:08:09.125922","indexId":"70266024","displayToPublicDate":"2025-04-19T09:59:15","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17060,"text":"Environmental Microbiome","active":true,"publicationSubtype":{"id":10}},"title":"Microbiome data management in action workshop: Atlanta, GA, USA, June 12–13, 2024","docAbstract":"Microbiome research is revolutionizing human and environmental health, but the value and reuse of microbiome data are significantly hampered by the limited development and adoption of data standards. While several ongoing efforts are aimed at improving microbiome data management, significant gaps still remain in terms of defining and promoting adoption of consensus standards for these datasets. The Strengthening the Organization and Reporting of Microbiome Studies (STORMS) guidelines for human microbiome research have been endorsed and successfully utilized by many research organizations, publishers, and funding agencies, and have been recognized as a consensus community standard. No equivalent effort has occurred for environmental, synthetic, and non-human host-associated microbiomes. To address this growing need within the microbiome research community, we convened the Microbiome Data Management in Action Workshop (June 12–13, 2024, in Atlanta, GA, USA), to bring together key decision makers in microbiome science including researchers, publishers, funders, and data repositories. The 50 attendees, representing the diverse and interdisciplinary nature of microbiome research, discussed recent progress and challenges, and brainstormed actionable recommendations and paths forward for coordinated environmental microbiome data management and the modifications necessary for the STORMS guidelines to be applied to environmental, non-human host, and synthetic microbiomes. The outcomes of this workshop will form the basis of a formalized data management roadmap to be implemented across the field. These best practices will drive scientific innovation now and in years to come as these data continue to be used not only in targeted reanalyses but in large-scale models and machine learning efforts.
","language":"English","publisher":"Springer Nature","doi":"10.1186/s40793-025-00702-9","usgsCitation":"Kelliher, J., Aljumaah, M., Bordenstein, S., Brister, J., Chain, P., Dunduore-Arias, J., Emerson, J.B., Ferdandes, V., Flores, R., Gonzalez, A., Hansen, Z., Hatcher, E., Jackson, S., Kellogg, C.A., Madupu, R., Miller, C., Mirzayi, C., Mongodin, E., Moustafa, A., Mungall, C., Oliver, A., Pariente, N., Pett-Ridge, J., Record, S., Reji, L., Reysenbach, A., Rich, V., Richardson, L., Schriml, L., Shabman, R., Sierra, M., Sullivan, M., Sundaramurthy, P., Thibault, K.M., Thompson, L., Tighe, S.W., Vereen, E., and Eloe-Fadrosh, E., 2025, Microbiome data management in action workshop: Atlanta, GA, USA, June 12–13, 2024: Environmental Microbiome, v. 20, 40, 8 p., https://doi.org/10.1186/s40793-025-00702-9.","productDescription":"40, 8 p.","ipdsId":"IP-169821","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":487902,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40793-025-00702-9","text":"Publisher Index Page"},{"id":484981,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","noUsgsAuthors":false,"publicationDate":"2025-04-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Kelliher, Julia 0000-0003-4100-9119","orcid":"https://orcid.org/0000-0003-4100-9119","contributorId":353689,"corporation":false,"usgs":false,"family":"Kelliher","given":"Julia","affiliations":[{"id":84466,"text":"Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM, USA; New Mexico Consortium, Los Alamos, NM, USA","active":true,"usgs":false}],"preferred":false,"id":934366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aljumaah, Mashael 0000-0003-2477-7239","orcid":"https://orcid.org/0000-0003-2477-7239","contributorId":353690,"corporation":false,"usgs":false,"family":"Aljumaah","given":"Mashael","affiliations":[{"id":84468,"text":"UNC Microbiome Core, Center for Gastrointestinal Biology and Disease (CGIBD), School of Medicine, University of North Carolina, Chapel Hill, NC,","active":true,"usgs":false}],"preferred":false,"id":934367,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bordenstein, Sarah R. 0000-0001-6092-1950","orcid":"https://orcid.org/0000-0001-6092-1950","contributorId":353691,"corporation":false,"usgs":false,"family":"Bordenstein","given":"Sarah R.","affiliations":[{"id":84470,"text":"Departments of Biology & Entomology, Pennsylvania State University, University Park, PA, USA; One Health Microbiome Center, Pennsylvania State University, University Park, PA, USA","active":true,"usgs":false}],"preferred":false,"id":934368,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brister, J. Rodney 0000-0002-2249-975X","orcid":"https://orcid.org/0000-0002-2249-975X","contributorId":353692,"corporation":false,"usgs":false,"family":"Brister","given":"J. 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,{"id":70265986,"text":"70265986 - 2025 - Cardiac and behavioral responses to chemical and electrical immobilization in Lake Trout","interactions":[],"lastModifiedDate":"2025-05-12T15:46:37.944628","indexId":"70265986","displayToPublicDate":"2025-04-19T08:43:29","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Cardiac and behavioral responses to chemical and electrical immobilization in Lake Trout","docAbstract":"Objective
Immobilizing or anesthetizing fish is important for promoting fish welfare in numerous routine activities that involve handling. Electroanesthesia, an alternative to traditional chemical anesthetics, uses weak electrical current to immobilize fish while current is applied, resulting in near-immediate induction and recovery. The physiological effects of electroanesthesia appear to be minimal or comparable to those of chemical anesthetics, but knowledge gaps exist on cardiac responses during treatment and behavioral responses in a controlled setting.
Methods
Lake Trout Salvelinus namaycush were immobilized by one of four treatments: control (physical restraint); eugenol (AQUI-S 20E); and continuously applied, low-voltage electroanesthesia with either constant DC or transcutaneous electrical nerve stimulation (TENS). We evaluated the heart rate while fish were immobilized, reflexes at 1 h posttreatment, and survival and movements in a laboratory setting over a 6-d posttreatment period.
Results
The heart rates of fish immobilized with either electroanesthesia treatment (constant DC: mean ± SE = 12.6 ± 1.1 beats/min; TENS: 13.1 ± 1.2 beats/min) were not significantly different from those of control fish (10.0 ± 1.2 beats/min) while immobilized. However, fish immobilized with eugenol exhibited heart rates that were more than three times higher (32.1 ± 1.2 beats/min) than those of control fish while immobilized. Treatments had no effect on reflex scores at 1 h posttreatment, the 6-d survival rate of fish (100%), or movement behavior during the hours (1–24 h) or days (6 d) after treatment.
Conclusions
This study adds to a growing body of research finding a lack of negative physiological or behavioral responses resulting from continuously applied electroanesthesia, suggesting that it is at least as safe as many chemical anesthetics in this respect. The significant cardiac response of Lake Trout while immobilized with eugenol warrants further investigation. While the body of research on immobilizing agents in fish grows, species-specific data remain sparse, and users would benefit from pilot testing before wider application.
Climate-driven forest mortality events have been extensively observed in recent decades, prompting the question of how quickly these affected forests can recover their functionality following such events. Here we assessed forest recovery in vegetation greenness (normalized difference vegetation index) and canopy water content (normalized difference infrared index) for 1,699 well-documented forest mortality events across 1,600 sites worldwide. By analysing 158,427 Landsat surface reflectance images sampled from these sites, we provided a global assessment on the time required for impacted forests to return to their pre-mortality state (recovery time). Our findings reveal a consistent decline in global forest recovery rate over the past decades indicated by both greenness and canopy water content. This decline is particularly noticeable since the 1990s. Further analysis on underlying mechanisms suggests that this reduction in global forest recovery rates is primarily associated with rising temperatures and increased water scarcity, while the escalation in the severity of forest mortality contributes only partially to this reduction. Moreover, our global-scale analysis reveals that the recovery of forest canopy water content lags significantly behind that of vegetation greenness, implying that vegetation indices based solely on greenness can overestimate post-mortality recovery rates globally. Our findings underscore the increasing vulnerability of forest ecosystems to future warming and water insufficiency, accentuating the need to prioritize forest conservation and restoration as an integral component of efforts to mitigate climate change impacts.
","language":"English","publisher":"Springer Nature","doi":"10.1038/s41477-025-01948-4","usgsCitation":"Yan, Y., Hong, S., Chen, A., Peñuelas, J., Allen, C.D., Hammond, W.M., Munson, S.M., Myneni, R.B., and Piao, S., 2025, Satellite-based evidence of recent decline in global forest recovery rate from tree mortality events: Nature Plants, v. 11, p. 731-742, https://doi.org/10.1038/s41477-025-01948-4.","productDescription":"12 p.","startPage":"731","endPage":"742","ipdsId":"IP-166805","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":495447,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","noUsgsAuthors":false,"publicationDate":"2025-04-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Yan, Yuchao","contributorId":344981,"corporation":false,"usgs":false,"family":"Yan","given":"Yuchao","email":"","affiliations":[{"id":65605,"text":"Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China","active":true,"usgs":false}],"preferred":false,"id":948719,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hong, Songbai","contributorId":344984,"corporation":false,"usgs":false,"family":"Hong","given":"Songbai","email":"","affiliations":[{"id":65605,"text":"Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China","active":true,"usgs":false}],"preferred":false,"id":948720,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chen, Anping","contributorId":303015,"corporation":false,"usgs":false,"family":"Chen","given":"Anping","email":"","affiliations":[{"id":37774,"text":"Department of Biology and Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO 80523, USA","active":true,"usgs":false}],"preferred":false,"id":948721,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peñuelas, Josep","contributorId":361384,"corporation":false,"usgs":false,"family":"Peñuelas","given":"Josep","affiliations":[{"id":86261,"text":"CREAF, Cerdanyola del Valles, Barcelona, Spain; CSIC, Global Ecology Unit CREAF-CSIC-UAB, Bellaterra, Barcelona, Spain","active":true,"usgs":false}],"preferred":false,"id":948722,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allen, Craig D.","contributorId":361385,"corporation":false,"usgs":false,"family":"Allen","given":"Craig","middleInitial":"D.","affiliations":[{"id":86262,"text":"Department of Geography and Environmental Studies, University of New Mexico, Albuquerque, NM, USA","active":true,"usgs":false}],"preferred":false,"id":948723,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hammond, William M.","contributorId":361386,"corporation":false,"usgs":false,"family":"Hammond","given":"William","middleInitial":"M.","affiliations":[{"id":86263,"text":"Institute of Food and Agricultural Sciences, Agronomy Department, University of Florida, Gainesville, FL, USA","active":true,"usgs":false}],"preferred":false,"id":948724,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":220026,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":948725,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Myneni, Ranga B.","contributorId":361387,"corporation":false,"usgs":false,"family":"Myneni","given":"Ranga","middleInitial":"B.","affiliations":[{"id":86266,"text":"Department of Earth and Environment, Boston University, Boston, MA, USA","active":true,"usgs":false}],"preferred":false,"id":948726,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Piao, Shilong","contributorId":288837,"corporation":false,"usgs":false,"family":"Piao","given":"Shilong","affiliations":[{"id":61843,"text":"College of Urban and Environmental Sciences, Sino‐French Institute for Earth System Science, Peking University, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":948727,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70265829,"text":"sir20255023 - 2025 - A framework for understanding the effects of subsurface agricultural drainage on downstream flows","interactions":[],"lastModifiedDate":"2025-04-18T14:23:34.614404","indexId":"sir20255023","displayToPublicDate":"2025-04-17T15:29:38","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5023","displayTitle":"A Framework for Understanding the Effects of Subsurface Agricultural Drainage on Downstream Flows","title":"A framework for understanding the effects of subsurface agricultural drainage on downstream flows","docAbstract":"Understanding controls on streamflow volume and magnitude is important to water resource management applications, such as critical water and transportation structure design and floodplain mapping. Changes in land use and agricultural practices, such as subsurface agricultural drainage, may be contributing to changes in streamflow characteristics. Subsurface agricultural drainage, also known as tile drainage, is the practice of installing drains in the subsurface of agricultural fields to improve productivity. Because of the complex interactions between subsurface drainage systems, precipitation, local soil conditions, and land management practices, it is difficult to determine how subsurface agricultural drainage affects downstream flow. Previously developed subsurface agricultural drainage conceptual models under dry, saturated, and winter conditions are summarized, and current literature on the effects of subsurface agricultural drainage on downstream flows, focusing on peak flow, non-event flow, and total flow to develop frameworks for discussing these systems is compiled.
The effects that subsurface drainage has on hydrologic systems are expected to vary by site and are seasonally based on system design, soil type, moisture conditions, precipitation characteristics, and land conditions. Subsurface drainage can affect the magnitude of peak flow by converting surface runoff from a storm event to subsurface runoff. By increasing hydrologic connectivity of a catchment, subsurface drainage can increase non-event flow or the flow between two storm events, typically dependent on lateral flow through the subsurface and groundwater. Theoretically, by diverting water from groundwater recharge or by reducing water available for evapotranspiration, subsurface drainage may increase the total volume of flow. Precipitation changes may increase infiltration, excess overland flow, and flood risk regardless of the presence or absence of subsurface drainage.
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\"}}]}","contact":"Director, Central Midwest Water Science Center
U.S. Geological Survey
400 South Clinton Street, Suite 269
Iowa City, IA 52240
Contact Pubs Warehouse
","tableOfContents":"- Acknowledgments
- Abstract
- Introduction
- Overview of Subsurface Agricultural Drainage
- Data on Subsurface Agricultural Drainage
- Conceptual Models for Subsurface Agricultural Drainage at the Field-Scale
- Subsurface Agricultural Drainage’s Effects on Downstream Flow
- Summary
- References Cited
","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-04-17","noUsgsAuthors":false,"publicationDate":"2025-04-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Podzorski, Hannah Lee 0000-0001-5204-2606 hpodzorski@usgs.gov","orcid":"https://orcid.org/0000-0001-5204-2606","contributorId":333626,"corporation":false,"usgs":true,"family":"Podzorski","given":"Hannah","email":"hpodzorski@usgs.gov","middleInitial":"Lee","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":933671,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ryberg, Karen R. 0000-0002-9834-2046 kryberg@usgs.gov","orcid":"https://orcid.org/0000-0002-9834-2046","contributorId":1172,"corporation":false,"usgs":true,"family":"Ryberg","given":"Karen","email":"kryberg@usgs.gov","middleInitial":"R.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":933672,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70270710,"text":"70270710 - 2025 - Vulnerability of gulf ribbed mussels to marsh surface maximum temperatures","interactions":[],"lastModifiedDate":"2025-08-22T17:51:24.529995","indexId":"70270710","displayToPublicDate":"2025-04-17T10:45:29","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2455,"text":"Journal of Shellfish Research","active":true,"publicationSubtype":{"id":10}},"title":"Vulnerability of gulf ribbed mussels to marsh surface maximum temperatures","docAbstract":"Gulf ribbed mussels (Geukensia granosissima) act as ecosystem engineers and reside within the marsh platform of saltmarshes across the northern Gulf of Mexico. With climate models projecting increasing temperatures, and more frequent and extreme heat events, these mussels face increasing temperature-related risks. Marsh surface and subsurface (5-cm depth) temperature was measured continuously in the summer of 2022 in south Louisiana Gulf ribbed mussel habitat at nine stations. Marsh surface maximum temperatures were 5°C higher and more variable than recorded water temperatures, exceeding 38°C for periods of up to 3 h which generally coincided with low tides and peak solar radiation. Marsh subsurface temperatures were cooler with a lower mean and maximum temperature compared with the marsh surface, but higher than adjacent water. In two laboratory experiments the acclimated and acute thermal tolerance of wild mussels collected from the saltmarsh where temperatures were recorded, were explored. G. granosissima survived more than 40 days of continuous exposure in the laboratory to mean daily temperature values recorded for the marsh and subsurface microhabitats (28°C–34°C) but their calculated median lethal time (LT50) ranged from 35 to 56 days (36°C), to less than 3 days (40°C). Mussels acclimated to temperatures similar to long-term average water temperatures (28°C–32°C) and then exposed to maximum daily temperatures acutely experienced LT50 of less than 6 days (38°C), <1 day (40°C), and of less than 5 h (42°C). For G. granosissima both their thermal tolerance and behavioral response likely contribute to their survival in the face of extreme heat events, and their resulting distribution across the marsh surface and subsurface. Overall, results indicate that ribbed mussels in coastal Louisiana may rely on their ability to migrate vertically and bury in the marsh to avoid extreme heat exposure (temperature, duration) that may be lethal. The ability of Gulf ribbed mussels to endure short-term thermal extremes may ultimately determine the mussels' use as a tool in marsh stabilization and coastal restoration.
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,{"id":70268310,"text":"70268310 - 2025 - Observations reveal changing coastal storm extremes around the United States","interactions":[],"lastModifiedDate":"2025-06-20T15:11:01.51016","indexId":"70268310","displayToPublicDate":"2025-04-17T10:05:44","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"title":"Observations reveal changing coastal storm extremes around the United States","docAbstract":"Understanding extreme storm surge events that threaten low-lying coastal communities is key to effective flood mitigation/adaptation measures. However, observational estimates are sparse and highly uncertain along most coastal regions with a lack of observational evidence about long-term underlying trends and their contribution to overall extreme sea-level changes. Here, using a spatiotemporal Bayesian hierarchical framework, we analyse US tide gauge record for 1950–2020 and find that observational estimates have underestimated likelihoods of storm surge extremes at 85% of tide gauge sites nationwide. Additionally, and contrary to prevailing beliefs, storm surge extremes show spatially coherent trends along many widespread coastal areas, providing evidence of changing coastal storm intensity in the historical monitoring period. Several hotspots exist with regionally significant storm surge trends that are comparable to trends in mean sea-level rise and its key components. Our findings challenge traditional coastal design/planning practices that rely on estimates from discrete observations and assume stationarity in surge extremes.
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,{"id":70269584,"text":"70269584 - 2025 - Smallmouth bass (Micropterus dolomieu) and chain pickerel (Esox niger) identified as Atlantic salmon (Salmo salar) smolt predators in a reservoir system","interactions":[],"lastModifiedDate":"2025-07-28T13:48:30.119837","indexId":"70269584","displayToPublicDate":"2025-04-17T08:46:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Smallmouth bass (Micropterus dolomieu) and chain pickerel (Esox niger) identified as Atlantic salmon (Salmo salar) smolt predators in a reservoir system","title":"Smallmouth bass (Micropterus dolomieu) and chain pickerel (Esox niger) identified as Atlantic salmon (Salmo salar) smolt predators in a reservoir system","docAbstract":"Reservoir predation has been identified as a leading mortality source for smolts migrating through impounded river systems. We investigated smolt predation risk for an endangered Atlantic salmon (Salmo salar) population in the Weldon Dam reservoir in the Penobscot River, Maine, USA. In spring 2022, we characterized the fates of 390 tethered smolts. Smolts were exclusively predated by two predator species not native to the study area: chain pickerel (Esox niger, n = 43) and smallmouth bass (Micropterus dolomieu, n = 42). Using Cox-proportional hazard analysis, we estimated that 23% (95% CI = 15%–29%) of tethered smolts were expected to be predated within a one-hour deployment. Water temperature was the primary driver of predation risk as predation probability increased from 10% to 33% when temperature increased from 5 to 15 °C. Smolts also incurred above-average predation risk when they were within 40 m of shore. We demonstrate that non-native fish predation may drive patterns of high impoundment mortality and that risk is spatially and temporally heterogeneous within these systems. Collectively, this study offers direct evidence of species-specific predation on Atlantic salmon smolts and illuminates potential strategies to mitigate predation risk during reservoir migration.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2024-0416","usgsCitation":"Mensinger, M., Casey, A., Mortelliti, A., and Zydlewski, J.D., 2025, Smallmouth bass (Micropterus dolomieu) and chain pickerel (Esox niger) identified as Atlantic salmon (Salmo salar) smolt predators in a reservoir system: Canadian Journal of Fisheries and Aquatic Sciences, v. 82, p. 1-15, https://doi.org/10.1139/cjfas-2024-0416.","productDescription":"15 p.","startPage":"1","endPage":"15","ipdsId":"IP-162835","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":492991,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Pensbscot River, Weldon Dam reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -68.51927422282627,\n 45.60668041885205\n ],\n [\n -68.51927422282627,\n 45.56579487814537\n ],\n [\n -68.40635313680089,\n 45.56579487814537\n ],\n [\n -68.40635313680089,\n 45.60668041885205\n ],\n [\n -68.51927422282627,\n 45.60668041885205\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"82","noUsgsAuthors":false,"publicationDate":"2025-04-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Mensinger, Matthew A.","contributorId":358683,"corporation":false,"usgs":false,"family":"Mensinger","given":"Matthew A.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":944106,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Casey, Andrea N.","contributorId":358685,"corporation":false,"usgs":false,"family":"Casey","given":"Andrea N.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":944107,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mortelliti, Alessio","contributorId":358688,"corporation":false,"usgs":false,"family":"Mortelliti","given":"Alessio","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":944108,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":944109,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70267879,"text":"70267879 - 2025 - Stressor-driven changes in freshwater biological indicators inform spatial management strategies using expert knowledge, observational data, and hierarchical models","interactions":[],"lastModifiedDate":"2025-06-09T14:25:22.071785","indexId":"70267879","displayToPublicDate":"2025-04-17T07:56:29","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Stressor-driven changes in freshwater biological indicators inform spatial management strategies using expert knowledge, observational data, and hierarchical models","docAbstract":"Stream ecosystems face continuous pressures from multiple anthropogenic stressors that reshape biological communities and impact ecosystem health and services. Managers can encounter challenges in stewarding ecosystems threatened by multiple stressors, in part because most multiple stressor studies are experimental and, while valuable, offer limited management relevance in targeting these stressors on the landscape. Recent advances in causal inference coupled with large biomonitoring data sets could further understanding of observational stressor-response relationships, aiding management. In this study, we use bioassessment data in the Chesapeake Bay watershed in the mid-Atlantic region of the United States to identify how water quality and physical habitat stressors influence key benthic macroinvertebrate response metrics, considering hierarchical relationships using Bayesian networks. Results suggest water temperature and specific conductivity were prevalent stressors in a mountainous region (northern Appalachians), whereas in an agriculturally dominated region (southern Appalachians) physical habitat alterations were the predominant stressor. In mixed-land use regions (Piedmont & Coastal Plains), specific conductivity was a key stressor, but habitat heterogeneity was important for macroinvertebrate metrics. To illustrate how these stressor-response relationships can be used to guide management decisions, we applied the resist-accept-direct (RAD) framework to develop a portfolio of management options based on predicted changes in macroinvertebrate metrics in response to physical habitat and water quality stressors. For example, accepting changes in areas with co-occurring stressors may be the most feasible option, whereas directing changes through stream restoration or water quality improvements may be effective in areas with single stressor groups. By leveraging observational bioassessment data and causal inference to identify key stressor-response relationships, this research supports decision making by building a simple, strategic management portfolio.
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Cheryl A. 0000-0002-4844-5768 cwoodall@usgs.gov","orcid":"https://orcid.org/0000-0002-4844-5768","contributorId":194924,"corporation":false,"usgs":true,"family":"Woodall","given":"Cheryl","email":"cwoodall@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":932933,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":932934,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70265162,"text":"sim3532 - 2025 - Altitude of the potentiometric surface and depth to water in the Mississippi River Valley alluvial aquifer, spring 2022","interactions":[],"lastModifiedDate":"2025-08-07T20:58:26.866569","indexId":"sim3532","displayToPublicDate":"2025-04-16T10:12:51","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3532","displayTitle":"Altitude of the Potentiometric Surface and Depth to Water in the Mississippi River Valley Alluvial Aquifer, Spring 2022","title":"Altitude of the potentiometric surface and depth to water in the Mississippi River Valley alluvial aquifer, spring 2022","docAbstract":"Potentiometric-surface and depth-to-water maps for spring 2022 were created for the Mississippi River Valley alluvial aquifer (MRVA) using groundwater-altitude data from 1,136 wells completed in the MRVA and from the altitude of the top of the water surface in area rivers from 160 streamgages. The potentiometric-surface and depth-to-water maps for 2022 were created to support investigations to characterize the MRVA as part of the U.S. Geological Survey Water Availability and Use Science Program. Sufficient data were available to map the potentiometric surface and depth to water of the MRVA for spring 2022 for about 83 percent of the aquifer area. The potentiometric contours ranged from 0 to 340 feet (ft) above the North American Vertical Datum of 1988. The regional direction of groundwater gradient was generally to the south-southwest, except in areas of groundwater-altitude depressions, where the groundwater gradient was into the depression, and near rivers, where the groundwater gradient can be from aquifer to the river or from the river into the aquifer. There are large depressions in the potentiometric-surface map in the lower one-half of the Cache region and in much of the Grand Prairie and Delta regions. Depth to water in the MRVA, spring 2022, by well ranged from 5.00 ft above land surface to 145.66 ft below land surface.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3532","programNote":"Water Availability and Use Science Program","usgsCitation":"McGuire, V.L., Strauch, K.R., Wojtylko, E.A., Asquith, W.H., Nottmeier, A.M., Thomas, J.C., Tollett, R.W., and Kress, W.H., 2025, Altitude of the potentiometric surface and depth to water in the Mississippi River Valley alluvial aquifer, spring 2022: U.S. Geological Survey Scientific Investigations Map 3532, 5 sheets, scales 1:1,000,000 and 1:2,000,000, 19-p. pamphlet, https://doi.org/10.3133/sim3532.","productDescription":"Pamphlet: ix, 19 p.; 5 Sheets: 30.00 x 45.00 inches or smaller; Data Release; Dataset","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-137606","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":493761,"rank":13,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118540.htm","linkFileType":{"id":5,"text":"html"}},{"id":484091,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sim3532/full"},{"id":484092,"rank":6,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3532/downloads/sim3532_sheet1.pdf","text":"Sheet 1","size":"16 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":484094,"rank":7,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3532/downloads/sim3532_sheet2.pdf","text":"Sheet 2","size":"5.3 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":484095,"rank":8,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3532/downloads/sim3532_sheet3.pdf","text":"Sheet 3","size":"7.4 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":484096,"rank":9,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3532/downloads/sim3532_sheet4.pdf","text":"Sheet 4","size":"5.2 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":484097,"rank":10,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3532/downloads/sim3532_sheet5.pdf","text":"Sheet 5","size":"7.6 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":484098,"rank":11,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P95883TJ","text":"USGS data release","linkHelpText":"Datasets used to map the potentiometric surface and depth to water, Mississippi River Valley alluvial aquifer, spring 2022"},{"id":484099,"rank":12,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":484087,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3532/coverthb.jpg"},{"id":484088,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3532/sim3532.pdf","text":"Pamphlet","size":"14 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3532"},{"id":484089,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sim/3532/sim3532.XML"},{"id":484090,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sim/3532/images/"}],"country":"United States","otherGeospatial":"Mississippi River Valley alluvial aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.7960849146639,\n 39.04358924105398\n ],\n [\n -91.7960849146639,\n 28.527159743704843\n ],\n [\n -88.44541245375156,\n 28.527159743704843\n ],\n [\n -88.44541245375156,\n 39.04358924105398\n ],\n [\n -91.7960849146639,\n 39.04358924105398\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Nebraska Water Science Center
U.S. Geological Survey
5231 South 19th Street
Lincoln, NE 68512
Contact Pubs Warehouse
","tableOfContents":"- Acknowledgments
- Introduction
- Study Area Description
- Data and Methods
- Potentiometric-Surface Map, Spring 2022
- Depth to Water, Spring 2022
- Summary
- References Cited
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,{"id":70265781,"text":"ofr20251016 - 2025 - Evaluation of alternative coatings for U.S. Geological Survey water-quality samplers","interactions":[],"lastModifiedDate":"2025-04-16T14:12:22.479005","indexId":"ofr20251016","displayToPublicDate":"2025-04-16T09:55:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-1016","displayTitle":"Evaluation of Alternative Coatings for U.S. Geological Survey Water-Quality Samplers","title":"Evaluation of alternative coatings for U.S. Geological Survey water-quality samplers","docAbstract":"Each year, U.S. Geological Survey (USGS) personnel collect approximately 52,000 water-quality samples from rivers and streams across the United States. Several samplers are used by the USGS for water-quality sample collection in riverine environments. These samplers are coated with Plasti Dip to protect the exterior of the sampler; however, Plasti Dip is susceptible to fraying and wear, requiring maintenance. Alternative coatings were tested to determine if a different coating is better suited for the samplers. The alternative coatings included Raptor, powder coating, and DuraCoat; a fifth option was bare metal. Samplers with different coatings were evaluated based on initial coating application, equipment blank samples, a controlled wear test, blank sample collection with worn samplers, maintenance and re-coating of samplers, and field-use and wear tracking. The powder-coated sampler proved to be the top performer overall in the study.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251016","usgsCitation":"Thornton, A.M., 2025, Evaluation of alternative coatings for U.S. Geological Survey water-quality samplers: U.S. Geological Survey Open-File Report 2025–1016, 15 p., https://doi.org/10.3133/ofr20251016.","productDescription":"Report: iv, 15 p.; Data Release","numberOfPages":"15","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-173533","costCenters":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"links":[{"id":484591,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P144VS6G","text":"USGS data release","linkHelpText":"Data to support the evaluation of alternative Coatings for USGS Water-Quality Samplers"},{"id":484590,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1016/images/"},{"id":484589,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1016/ofr20251016.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2025-1016 XML"},{"id":484588,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251016/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025-1016 HTML"},{"id":484587,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1016/ofr20251016.pdf","text":"Report","size":"3.46 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1016 PDF"},{"id":484586,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1016/coverthb.jpg"}],"contact":"Director, Virginia and West Virginia Water Science Center
U.S. Geological Survey
1730 East Parham Road
Richmond, Virginia 23228
Contact Pubs Warehouse
","tableOfContents":"- Abstract
- Introduction
- Methods
- Results
- Summary
- Acknowledgments
- References Cited
- Appendix 1
","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2025-04-16","noUsgsAuthors":false,"plainLanguageSummary":"
","publicationDate":"2025-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Thornton, Alyssa M. 0000-0002-0160-3482","orcid":"https://orcid.org/0000-0002-0160-3482","contributorId":353414,"corporation":false,"usgs":true,"family":"Thornton","given":"Alyssa M.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":933519,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70265913,"text":"70265913 - 2025 - Gaps in water quality modeling of hydrologic systems","interactions":[],"lastModifiedDate":"2025-04-21T13:16:19.082806","indexId":"70265913","displayToPublicDate":"2025-04-16T09:41:44","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Gaps in water quality modeling of hydrologic systems","docAbstract":"This review assesses gaps in water quality modeling, emphasizing opportunities to improve next-generation models that are essential for managing water quality and are integral to meeting goals of scientific and management agencies. In particular, this paper identifies gaps in water quality modeling capabilities that, if addressed, could support assessments, projections, and evaluations of management alternatives to support ecosystem health and human beneficial use of water resources. It covers surface water and groundwater quality modeling, dealing with a broad suite of physical, biogeochemical, and anthropogenic drivers. Modeling capabilities for six constituents (or constituent categories) are explored: water temperature, salinity, nutrients, sediment, geogenic constituents, and contaminants of emerging concern. Each constituent was followed through the coupled atmospheric-hydrologic-human system, with prominent modeling gaps described for a diverse array of relevant inputs, processes, and human activities. Commonly identified modeling gaps primarily fall under three types: (1) model gaps, (2) data gaps, and (3) process understanding gaps. In addition to potential solutions for addressing specific individual modeling limitations, some broad approaches (e.g., enhanced data collection and compilation, machine learning, reduced-complexity modeling) are discussed as ways forward for tackling multiple gaps. This gap analysis establishes a framework of diverse approaches that may support improved process representation, scale, and accuracy of models for a wide range of water quality issues.
","language":"English","publisher":"MDPI","doi":"10.3390/w17081200","usgsCitation":"Lucas, L., Brown, C., Robertson, D., Baker, N.T., Johnson, Z., Green, C., Cho, J., Erickson, M., Gellis, A.C., Jasmann, J.R., Knowles, N., Prein, A., and Stackelberg, P.E., 2025, Gaps in water quality modeling of hydrologic systems: Water, v. 17, no. 8, 1200, 98 p., https://doi.org/10.3390/w17081200.","productDescription":"1200, 98 p.","ipdsId":"IP-157684","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":488460,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w17081200","text":"Publisher Index Page"},{"id":484764,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Lucas, Lisa V. 0000-0001-7797-5517 llucas@usgs.gov","orcid":"https://orcid.org/0000-0001-7797-5517","contributorId":260498,"corporation":false,"usgs":true,"family":"Lucas","given":"Lisa","email":"llucas@usgs.gov","middleInitial":"V.","affiliations":[{"id":37778,"text":"WMA - 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