Long-term monitoring of water quality responses to natural and anthropogenic perturbation of watersheds informs policies for managing natural resources. Dissolved organic carbon (DOC) and nitrate (NO3−) in streams draining forested landscapes provide valuable information on ecosystem function due to their biogeochemical reactivity and solubility in water. Here we evaluate a 20-year record (2001−2021) of biweekly stream-water samples (n > 3000) and continuous discharge in three forested catchments in the Adirondack region of New York to investigate and interpret long-term trends in DOC and NO3− concentrations. Results from the intensively monitored catchments were compared with data from synoptic surveys of streams throughout the Adirondack region. A weighted regressions on time, discharge, and season (WRTDS) model, used to estimate daily flow-normalized concentrations, determined that DOC increased by ~30 to 50 % while NO3− decreased by ~50 to 70 % over the study period. The large amount of data from catchments with different soil properties permitted us to assess the relative effects of hydrology, season, and land cover factors on temporal trends in DOC and NO3− concentrations. We found weak evidence of climatic forcing of long-term increases in DOC, and instead contend that declining ionic strength in precipitation linked to declining anthropogenic acid deposition is driving DOC trends in stream waters. Nitrate concentrations were more variable but clearly decreased in recent years possibly related to declining N deposition. The recent increase in DOC:NO3− in all catchments indicates a major shift in stream stoichiometry that reflects changes in ecosystem functioning that may have important biogeochemical implications for terrestrial as well as aquatic ecosystems.
Martian geomorphology and surface features provide links to understanding past geologic processes such as fluid movement, local and regional tectonics, and feature formation mechanisms. Pitted cones are common features in the northern plains basins of Mars. They have been proposed to have formed from upwelling volatile-rich fluids, such as magma or water-sediment slurries. In this study, we map the spatial distributions of pitted cone features across the Utopia Planitia (UP) basin. Using the Average Nearest Neighbor technique, we find that pitted cone features appear to be clustered across the basin, occurring in a narrow band around the circumferential rim of UP. Additionally, we find that pitted cone features also appear to be aligned in chains that are sub-parallel with the basin margin. Parallel bands of cones generally follow elevation contours of the UP basin, which suggests elevation or a correlated factor plays a major role in pitted cone and cone chain formation. We propose that pitted cones and cone chains may be related to vertical fractures formed around the UP basin rim from subsidence of infilling basin material.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2023.115825","usgsCitation":"Mills, M.M., McEwen, A.S., Hughes, A.N., Kim, J., and Okubo, C., 2024, Analyzing spatial distributions and alignments of pitted cone features in Utopia Planitia on Mars: Icarus, v. 408, 115825, 12 p., https://doi.org/10.1016/j.icarus.2023.115825.","productDescription":"115825, 12 p.","ipdsId":"IP-156266","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":441139,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.icarus.2023.115825","text":"Publisher Index Page"},{"id":422723,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars, Utopia Planitia","volume":"408","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mills, Mackenzie M.","contributorId":331663,"corporation":false,"usgs":false,"family":"Mills","given":"Mackenzie","email":"","middleInitial":"M.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":888396,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McEwen, Alfred S.","contributorId":61657,"corporation":false,"usgs":false,"family":"McEwen","given":"Alfred","email":"","middleInitial":"S.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":888397,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hughes, Amanda N.","contributorId":331664,"corporation":false,"usgs":false,"family":"Hughes","given":"Amanda","email":"","middleInitial":"N.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":888398,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kim, Ji-Eun 0000-0002-7668-5072","orcid":"https://orcid.org/0000-0002-7668-5072","contributorId":331665,"corporation":false,"usgs":true,"family":"Kim","given":"Ji-Eun","email":"","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":888399,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Okubo, Chris 0000-0001-9776-8128 cokubo@usgs.gov","orcid":"https://orcid.org/0000-0001-9776-8128","contributorId":174209,"corporation":false,"usgs":true,"family":"Okubo","given":"Chris","email":"cokubo@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":888400,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70249413,"text":"70249413 - 2024 - A novel approach to assessing natural resource injury with Bayesian networks","interactions":[],"lastModifiedDate":"2024-02-26T15:49:37.457545","indexId":"70249413","displayToPublicDate":"2023-10-06T11:03:16","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"title":"A novel approach to assessing natural resource injury with Bayesian networks","docAbstract":"Quantifying the effects of environmental stressors on natural resources is problematic because of complex interactions among environmental factors that influence endpoints of interest. This complexity, coupled with data limitations, propagates uncertainty that can make it difficult to causally associate specific environmental stressors with injury endpoints. The Natural Resource Damage Assessment and Restoration (NRDAR) regulations under the Comprehensive Environmental Response, Compensation, and Liability Act and Oil Pollution Act aim to restore natural resources injured by oil spills and hazardous substances released into the environment; exploration of alternative statistical methods to evaluate effects could help address NRDAR legal claims. Bayesian networks (BNs) are statistical tools that can be used to estimate the influence and interrelatedness of abiotic and biotic environmental variables on environmental endpoints of interest. We investigated the application of a BN for injury assessment using a hypothetical case study by simulating data of acid mine drainage (AMD) affecting a fictional stream-dwelling bird species. We compared the BN-generated probability estimates for injury with a more traditional approach using toxicity thresholds for water and sediment chemistry. Bayesian networks offered several distinct advantages over traditional approaches, including formalizing the use of expert knowledge, probabilistic estimates of injury using intermediate direct and indirect effects, and the incorporation of a more nuanced and ecologically relevant representation of effects. Given the potential that BNs have for natural resource injury assessment, more research and field-based application are needed to determine their efficacy in NRDAR. We expect the resulting methods will be of interest to many US federal, state, and tribal programs devoted to the evaluation, mitigation, remediation, and/or restoration of natural resources injured by releases or spills of contaminants
","language":"English","publisher":"Wiley","doi":"10.1002/ieam.4836","usgsCitation":"Rowland, F.E., Kotalik, C.J., Marcot, B.G., Hinck, J.E., and Walters, D., 2024, A novel approach to assessing natural resource injury with Bayesian networks: Integrated Environmental Assessment and Management, v. 20, no. 2, p. 562-573, https://doi.org/10.1002/ieam.4836.","productDescription":"12 p.","startPage":"562","endPage":"573","ipdsId":"IP-151776","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":441142,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ieam.4836","text":"Publisher Index Page"},{"id":421749,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-09-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Rowland, Freya Elizabeth 0000-0002-1041-5301","orcid":"https://orcid.org/0000-0002-1041-5301","contributorId":302395,"corporation":false,"usgs":true,"family":"Rowland","given":"Freya","email":"","middleInitial":"Elizabeth","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":885533,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kotalik, Christopher James 0000-0001-6739-6036","orcid":"https://orcid.org/0000-0001-6739-6036","contributorId":301847,"corporation":false,"usgs":true,"family":"Kotalik","given":"Christopher","email":"","middleInitial":"James","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":885534,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marcot, Bruce G.","contributorId":140456,"corporation":false,"usgs":false,"family":"Marcot","given":"Bruce","email":"","middleInitial":"G.","affiliations":[{"id":12647,"text":"U.S. Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":885535,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hinck, Jo Ellen 0000-0002-4912-5766 jhinck@usgs.gov","orcid":"https://orcid.org/0000-0002-4912-5766","contributorId":2743,"corporation":false,"usgs":true,"family":"Hinck","given":"Jo","email":"jhinck@usgs.gov","middleInitial":"Ellen","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":885536,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walters, David 0000-0002-4237-2158","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":203410,"corporation":false,"usgs":true,"family":"Walters","given":"David","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":885537,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70251209,"text":"70251209 - 2024 - The inevitability of large shallow craters on Callisto and Ganymede: Implications for crater depth-diameter trends","interactions":[],"lastModifiedDate":"2024-01-29T12:40:51.426987","indexId":"70251209","displayToPublicDate":"2023-10-02T06:35:20","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"The inevitability of large shallow craters on Callisto and Ganymede: Implications for crater depth-diameter trends","docAbstract":"Complex craters with diameters (D) ≥ 40 km on Callisto and Ganymede are shallower than would be expected from simply extrapolating the depth-diameter trend from smaller (D ≤ 40 km) craters. This unusual depth-diameter (d-D) trend, and associated changes in crater morphology, have been hypothesized to result from rheological transitions, including the existence of an ocean, within the moons' ice shell. Simulations of impact crater formation can reproduce the observed shallow depths but require heat fluxes roughly twice the maximum radiogenic flux to do so. Here we demonstrate that the d-D trends on Callisto and Ganymede can instead be explained as a direct consequence of viscous relaxation under radiogenic heating. We use numerical simulations of viscous relaxation to show that if craters form at the depth expected from an extrapolation of the complex crater d-D trend, they will evolve to the observed depths over timescales of 200 Myrs to 1 Gyrs. Large craters (e.g., D ≥ 80 km) younger than 200 Myrs, which would retain greater depths, should be relatively rare. If we instead assume that the craters formed at their observed depths, as proposed by previous impact modeling, they quickly become much shallower than observed. We find excellent agreement between observed crater depths on Ganymede and our simulated crater depths by assuming a pure-water ice composition and a diurnally averaged surface temperature of 120 K, but require either larger-grained or “dirty” ice with a modestly higher viscosity to match observations at Callisto, where the surface temperature is warmer (130 K). We favor the latter explanation because it is consistent with the existence of a dusty lag on Callisto's surface and the absence of a similar lag on Ganymede. Our results predict that, for a given crater diameter, post-relaxation crater depth should increase with increasing latitude, a hypothesis best tested on Callisto, whose relatively quiescent geologic history best preserves the signature of viscous relaxation under radiogenic heating.
Recreational-grade side-scan sonar (SSS) has only recently been applied to estimate abundance of Paddlefish Polyodon spathula, a large pelagic planktivore, in reservoirs. Current recreational-grade SSS units also have a dedicated down-scan channel, which may be useful for detecting Paddlefish in reservoirs because the range of depths they inhabit. We investigated the utility of down-scan images using SSS data from a previously published study of Paddlefish in Keystone Lake, Oklahoma. Two readers counted Paddlefish and estimated the depth of each fish and the water column. We used proximity functions in a geographic information system to find individual Paddlefish that were common between the readers. We further used proximity functions to identify common fish observed from the SSS survey conducted previously as an aid to compare and refine down-scan estimates. Depth of Paddlefish averaged approximately 7 m, but fish were deeper when water was deeper. Density estimates from down-scan were comparable to side-scan, but only after utilizing the side-scan data to adjust for detection-by-distance in a dual-gear approach. Down-scan data thus appear to be useful for not only estimating density of Paddlefish, but also for incorporating depth use, creating a three-dimensional database of locations that can inform managers of optimal depths for sampling gear (e.g., gill nets), improve monitoring efficiency, and facilitate better management of reservoir populations.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2023.106872","usgsCitation":"Long, J.M., Joyce, P., Bruckerhoff, L., Lonsinger, R.C., and Wolfenkoehler, W., 2024, Using down-scan capabilities from recreational-grade side-scan sonar systems to sample paddlefish and evaluate depth use in a reservoir, v. 269, 106872, 8 p., https://doi.org/10.1016/j.fishres.2023.106872.","productDescription":"106872, 8 p.","ipdsId":"IP-155831","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":432362,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Keystone Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -96.46168930943298,\n 36.327912527967385\n ],\n [\n -96.46168930943298,\n 36.10858643895318\n ],\n [\n -96.21251987229255,\n 36.10858643895318\n ],\n [\n -96.21251987229255,\n 36.327912527967385\n ],\n [\n -96.46168930943298,\n 36.327912527967385\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"269","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907548,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Joyce, P.","contributorId":340781,"corporation":false,"usgs":false,"family":"Joyce","given":"P.","email":"","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":907549,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bruckerhoff, L.","contributorId":340782,"corporation":false,"usgs":false,"family":"Bruckerhoff","given":"L.","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":907550,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":907551,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wolfenkoehler, W.","contributorId":340783,"corporation":false,"usgs":false,"family":"Wolfenkoehler","given":"W.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":907552,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70254749,"text":"70254749 - 2024 - Expansive, positive changes to fish habitat diversity following the formation of a valley plug in a degraded desert river","interactions":[],"lastModifiedDate":"2024-06-07T17:01:39.146165","indexId":"70254749","displayToPublicDate":"2023-09-22T11:56:10","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Expansive, positive changes to fish habitat diversity following the formation of a valley plug in a degraded desert river","docAbstract":"Widespread hydrologic alterations have simplified in-stream habitats in rivers globally, driving population declines and extirpations of many native fishes. Here, we examine how rapid geomorphic change in a historically degraded desert river has influenced habitat diversification and ecosystem persistence. In 2010, a large reach of the degraded and simplified lower San Rafael River (SRR), Utah, was impacted by the formation of a valley plug and began to shift from a homogenous, single-thread channel to a complex, multi-threaded riverscape. We combined field measurements and drone-collected imagery to document changes in fish habitat due to the valley plug. Our results demonstrate that in 2021, the affected reach was more diverse than any other stream reach along the SRR, containing 641% more diverse habitat (e.g., pools, riffles, and backwaters) than what was measured in 2015. The plug reach also retained water for periods beyond what was expected during seasonal drying, with the total extent of inundation within the riverscape increasing by over 2800%. Since the formation of the valley plug, riparian habitat has increased by 230% and channel networks have expanded to more than 50 distinct channels throughout the zone of influence. Our results provide evidence of successful self-restoration in a formerly highly degraded reach of desert river, and encourage new methods of desert river restoration. We aim to inform the use of large-scale, disruptive restoration actions like intentional channel occlusions, with the goal of mitigating the impacts of simplification and increasing habitat persistence in the face of exacerbated aridity in the desert Southwest.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.4213","usgsCitation":"Remiszewski, T.T., Budy, P., and Macfarlane, W., 2024, Expansive, positive changes to fish habitat diversity following the formation of a valley plug in a degraded desert river: River Research and Applications, v. 40, no. 1, p. 116-128, https://doi.org/10.1002/rra.4213.","productDescription":"13 p.","startPage":"116","endPage":"128","ipdsId":"IP-147695","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":441167,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.4213","text":"Publisher Index Page"},{"id":429658,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"San Rafael River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.65926854658869,\n 39.15654774664799\n ],\n [\n -110.65926854658869,\n 38.689875846653166\n ],\n [\n -110.09441178024811,\n 38.689875846653166\n ],\n [\n -110.09441178024811,\n 39.15654774664799\n ],\n [\n -110.65926854658869,\n 39.15654774664799\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"40","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-09-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Remiszewski, Tansy T.","contributorId":337428,"corporation":false,"usgs":false,"family":"Remiszewski","given":"Tansy","email":"","middleInitial":"T.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":902416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Budy, Phaedra E. 0000-0002-9918-1678","orcid":"https://orcid.org/0000-0002-9918-1678","contributorId":228930,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":902417,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Macfarlane, William W.","contributorId":337429,"corporation":false,"usgs":false,"family":"Macfarlane","given":"William W.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":902418,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70256460,"text":"70256460 - 2024 - Rates of osmoconformation in triploid eastern oysters, and comparison to their diploid half-siblings","interactions":[],"lastModifiedDate":"2024-08-05T21:54:05.831357","indexId":"70256460","displayToPublicDate":"2023-09-21T16:49:27","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":853,"text":"Aquaculture","active":true,"publicationSubtype":{"id":10}},"title":"Rates of osmoconformation in triploid eastern oysters, and comparison to their diploid half-siblings","docAbstract":"Triploid eastern oysters (Crassostrea virginica) suffer greater mortalities than diploids in the U.S. Gulf of Mexico estuaries when extreme low salinities (< 5) and elevated temperatures (≥ 28 °C) coincide. To investigate potential causes, changes in plasma osmolality, hemolymph pH, valve opening and mortality in diploid and triploid oyster half-siblings were compared during a step-down gradual acclimation from a salinity of 5 to 1 (5, 2.5, 2.0, 1.5, 1.0) at 23 °C (expt 1) and at 28 °C (expt 2). To further explore differences in diploid and triploid oyster responses to changing salinity, we compared their plasma osmolality after abrupt decreases in salinity from 20 to 10 and 5, followed by increases in salinity from 5 and 10 to 20 once oysters had osmoconformed to the lowered salinities (expt 3). Lastly, changes in wet weights of mantle tissue explants were compared between diploid and triploid oysters every 10 min for 40 min after being transferred from a salinity of 20 to 10 (expt 4). Oysters of both ploidies were able to osmoconform to water at salinities between 5 and 1.5. After a decrease in salinity, triploid oysters were slower to open their valves and osmoconform, were less efficient in maintaining acid-base status enduring longer periods of acidic hemolymph pH, and were less efficient in regulating tissue water content compared to half-sibling diploid oysters. At a salinity of 1.0, plasma of both diploid and triploid oysters remained hyperosmotic, their hemolymph acidic and their valves closed. Oysters osmoconformed faster at 28 °C than at 23 °C, but the combination of low salinity (≤ 1.5) and higher temperature caused rapid mortalities regardless of ploidies. Triploid oysters, however, started dying earlier and at greater percentages when salinity of 1.5 and temperature of 28 °C were combined. Triploids have been embraced as a means to support higher production, but results indicate superimposed stressors, such as low salinity and high temperature, may be more lethal to triploid than diploid oysters.
","language":"English","doi":"10.1016/j.aquaculture.2023.740326","usgsCitation":"Casas, S., Comba, D., La Peyre, M., Rikard, S., and La Peyre, J., 2024, Rates of osmoconformation in triploid eastern oysters, and comparison to their diploid half-siblings: Aquaculture, v. 580, no. Part 2, 740326, 11 p., https://doi.org/10.1016/j.aquaculture.2023.740326.","productDescription":"740326, 11 p.","ipdsId":"IP-156470","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":467056,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://repository.lsu.edu/animalsciences_pubs/2253","text":"Publisher Index Page"},{"id":432235,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"580","issue":"Part 2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Casas, Sandra M.","contributorId":340720,"corporation":false,"usgs":false,"family":"Casas","given":"Sandra M.","affiliations":[{"id":32913,"text":"Louisiana State University Agricultural Center","active":true,"usgs":false}],"preferred":false,"id":907478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Comba, Devin","contributorId":340721,"corporation":false,"usgs":false,"family":"Comba","given":"Devin","email":"","affiliations":[{"id":32913,"text":"Louisiana State University Agricultural Center","active":true,"usgs":false}],"preferred":false,"id":907479,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"La Peyre, Megan K. 0000-0001-9936-2252","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":264343,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907480,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rikard, Scott","contributorId":340722,"corporation":false,"usgs":false,"family":"Rikard","given":"Scott","email":"","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":907481,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"La Peyre, Jerome F.","contributorId":340723,"corporation":false,"usgs":false,"family":"La Peyre","given":"Jerome F.","affiliations":[{"id":32913,"text":"Louisiana State University Agricultural Center","active":true,"usgs":false}],"preferred":false,"id":907482,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70248702,"text":"70248702 - 2024 - The patchwork governance of ecologically available water: A case study in the Upper Missouri Headwaters, Montana, United States","interactions":[],"lastModifiedDate":"2024-04-10T15:42:11.644491","indexId":"70248702","displayToPublicDate":"2023-09-12T10:25:21","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"The patchwork governance of ecologically available water: A case study in the Upper Missouri Headwaters, Montana, United States","docAbstract":"Institutional authority and responsibility for allocating water to ecosystems (“ecologically available water” [EAW]) is spread across local, state, and federal agencies, which operate under a range of statutes, mandates, and planning processes. We use a case study of the Upper Missouri Headwaters Basin in southwestern Montana, United States, to illustrate this fragmented institutional landscape. Our goals are to (a) describe the patchwork of agencies and institutional actors whose intersecting authorities and actions influence the EAW in the study basin; (b) describe the range of governance mechanisms these agencies use, including laws, policies, administrative programs, and planning processes; and (c) assess the extent to which the collective governance regime creates gaps in responsibility. We find the water governance regime includes a range of nested mechanisms that in various ways facilitate or hinder the governance of EAW. We conclude the current multilevel governance regime leaves certain aspects of EAW unaddressed and does not adequately account for the interconnections between water in different parts of the ecosystem, creating integrative gaps. We suggest that more intentional and robust coordination could provide a means to address these gaps.
","language":"English","publisher":"American Water Resources Association","doi":"10.1111/1752-1688.13167","usgsCitation":"Cravens, A.E., Goolsby, J.B., Jedd, T., Bathke, D., Crausbay, S., Cooper, A., Dunham, J., Haigh, T., Hall, K.R., Hayes, M.J., McEvoy, J., Nelson, R.L., Podebradska, M., Ramirez, A.R., Wickham, E., and Zoanni, D., 2024, The patchwork governance of ecologically available water: A case study in the Upper Missouri Headwaters, Montana, United States: Journal of the American Water Resources Association, v. 60, no. 2, p. 406-426, https://doi.org/10.1111/1752-1688.13167.","productDescription":"21 p.","startPage":"406","endPage":"426","ipdsId":"IP-138823","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":441191,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index 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Hall, 3310 Holdrege Street, Lincoln, Nebraska 68583-0988","active":true,"usgs":false}],"preferred":false,"id":883257,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McEvoy, Jamie","contributorId":197223,"corporation":false,"usgs":false,"family":"McEvoy","given":"Jamie","affiliations":[],"preferred":false,"id":883258,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Nelson, Rebecca L","contributorId":298146,"corporation":false,"usgs":false,"family":"Nelson","given":"Rebecca","email":"","middleInitial":"L","affiliations":[{"id":13336,"text":"University of Melbourne","active":true,"usgs":false}],"preferred":false,"id":883259,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Podebradska, Marketa 0000-0002-3121-4904","orcid":"https://orcid.org/0000-0002-3121-4904","contributorId":218698,"corporation":false,"usgs":false,"family":"Podebradska","given":"Marketa","email":"","affiliations":[{"id":33286,"text":"School of Natural Resources, University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":883260,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Ramirez, Aaron R.","contributorId":149780,"corporation":false,"usgs":false,"family":"Ramirez","given":"Aaron","email":"","middleInitial":"R.","affiliations":[{"id":17824,"text":"UC Berkeley, CA","active":true,"usgs":false}],"preferred":false,"id":883261,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Wickham, Elliot","contributorId":204251,"corporation":false,"usgs":false,"family":"Wickham","given":"Elliot","email":"","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":883262,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Zoanni, Dionne 0000-0003-3988-984X","orcid":"https://orcid.org/0000-0003-3988-984X","contributorId":216494,"corporation":false,"usgs":true,"family":"Zoanni","given":"Dionne","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":883263,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70256521,"text":"70256521 - 2024 - Relationships among rare plant communities and abiotic conditions in managed spring-fed arid wetlands","interactions":[],"lastModifiedDate":"2024-08-20T16:48:17.884286","indexId":"70256521","displayToPublicDate":"2023-09-11T11:42:20","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Relationships among rare plant communities and abiotic conditions in managed spring-fed arid wetlands","docAbstract":"Spring-fed wetlands within arid and semiarid systems are hotspots for endemism and distribution of rare plants. Interactions among groundwater and the geomorphic and climatic features of the setting control the abiotic conditions, particularly soil salinity and moisture, that support these plants. However, water uncertainty and land use change challenge the persistence of conditions necessary to support rare plant communities. Wetland management can be implemented to sustain abiotic processes that support rare plant communities, but key information is needed to guide management practices. In this study, we evaluate the relationships of rare plants to abiotic conditions in a managed spring-fed arid wetland. Soil salinity and moisture conditions were monitored and related to the presence and abundance of rare plants within management units. Soil salinity and moisture variability were related to groundwater dynamics near springs, but wetland management influenced variability in seasonally flooded areas. Permanently saturated conditions and low soil salinities during the spring season supported higher plant diversity and the presence and greater abundance of rare plants. Rare plant presence and abundance were negatively related to low soil moisture, particularly in the summer. Results indicate that increases in soil salinity during the early establishment of plants may affect their distribution and abundance, an important management consideration in arid landscapes and hydrologically altered systems. Our findings inform the restoration and management of rare plant communities and contribute to the management of spring-fed arid wetlands.
","language":"English","publisher":"Wiley","doi":"10.1111/rec.14011","usgsCitation":"Cantu de Leija, A., and King, S.L., 2024, Relationships among rare plant communities and abiotic conditions in managed spring-fed arid wetlands: Restoration Ecology, v. 32, no. 6, e14011, 15 p., https://doi.org/10.1111/rec.14011.","productDescription":"e14011, 15 p.","ipdsId":"IP-149609","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":499291,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.14011","text":"Publisher Index Page"},{"id":432950,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","county":"Chavez County","otherGeospatial":"Bitter Lake National wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -104.36484598013773,\n 33.516209003994106\n ],\n [\n -104.440890439482,\n 33.51572504071022\n ],\n [\n -104.44147093153808,\n 33.40385436306539\n ],\n [\n -104.36542647219379,\n 33.40385436306539\n ],\n [\n -104.36484598013773,\n 33.516209003994106\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"32","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-09-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Cantu de Leija, Antonio","contributorId":341010,"corporation":false,"usgs":false,"family":"Cantu de Leija","given":"Antonio","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":907794,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907795,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70256420,"text":"70256420 - 2024 - Evaluation of fall-seeded cover crops for grassland nesting waterfowl in eastern South Dakota","interactions":[],"lastModifiedDate":"2024-08-01T15:52:56.993594","indexId":"70256420","displayToPublicDate":"2023-09-05T10:49:07","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of fall-seeded cover crops for grassland nesting waterfowl in eastern South Dakota","docAbstract":"The Prairie Pothole Region (PPR) is the primary breeding ground for many species of North American waterfowl. The PPR was historically dominated by mixed and tallgrass prairies interspersed with wetlands, but >70% of the native grassland area has been lost due to widespread conversion to croplands. Cover cropping is a reemerging farming technique that may provide suitable nesting cover for grassland nesting waterfowl in active croplands, but waterfowl nest survival in fall cover-cropped fields has not been evaluated. We studied use (nest abundance and density) and nest survival of breeding waterfowl in fall-seeded cover crops and perennial cover during 2018 and 2019. We searched 2,094 ha of cover crops and 1,604 ha of perennial cover and found 123 and 304 duck nests, respectively, in each cover type. Estimated nest success (34-day interval) was 3.7% and 16.6% in cover crops during 2018 and 2019, respectively, versus 22.1% in 2018 and 24.9% in 2019 in perennial cover, with increased success of cover-crop fields in 2019 resulting from precipitation that prevented most fields from being planted to row crops. In a model that included effects of planting, daily nest survival in perennial cover was 0.944 (SD = 0.026) in 2018 and 0.960 (SD = 0.019) in 2019. Estimated daily nest survival was 0.912 (SD = 0.040) in 2018 and 0.960 (SD = 0.019) in 2019 during intervals when planting did not occur, but was only 0.417 (SD = 0.124) in 2018 and 0.612 (SD = 0.117) in 2019 on the day that planting occurred. Estimated nest densities in 2018 and 2019, adjusted for nests that failed prior to discovery, were 5.1 (SE = 1.1) and 11.0 (SE = 3.1) nests 100-ha−1 in perennial cover, but only 2.1 (SE = 0.8) and 2.6 (SE = 0.7) in cover crops, respectively. Based on observed nest initiation and planting dates, about 70% of duck nests in cover crops would experience planting events in a typical growing season. Our results suggest that under current management techniques, fall-seeded cover crops offer poor nesting habitat for waterfowl; however, the important benefits cover crops provide to soil health, water quality, and other ecosystem services remain.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.1484","usgsCitation":"Gallman, C.W., Arnold, T., Michel, E.S., and Stafford, J.D., 2024, Evaluation of fall-seeded cover crops for grassland nesting waterfowl in eastern South Dakota: Wildlife Society Bulletin, https://doi.org/10.1002/wsb.1484.","ipdsId":"IP-138726","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":441198,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wsb.1484","text":"Publisher Index Page"},{"id":432037,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -71.62300789778979,\n 42.70452095814687\n ],\n [\n -71.62300789778979,\n 42.65160665862743\n ],\n [\n -71.5465897901165,\n 42.65160665862743\n ],\n [\n -71.5465897901165,\n 42.70452095814687\n ],\n [\n -71.62300789778979,\n 42.70452095814687\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -101.06563969108848,\n 45.92537600884873\n ],\n [\n -101.06563969108848,\n 42.51351369305877\n ],\n [\n -96.13503097856136,\n 42.51351369305877\n ],\n [\n -96.13503097856136,\n 45.92537600884873\n ],\n [\n -101.06563969108848,\n 45.92537600884873\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2023-09-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Gallman, Charles W.","contributorId":340511,"corporation":false,"usgs":false,"family":"Gallman","given":"Charles","email":"","middleInitial":"W.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":907320,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arnold, Todd W.","contributorId":340512,"corporation":false,"usgs":false,"family":"Arnold","given":"Todd W.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":907321,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Michel, Eric S.","contributorId":204829,"corporation":false,"usgs":false,"family":"Michel","given":"Eric","email":"","middleInitial":"S.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":907322,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stafford, Joshua D. 0000-0001-7590-8708 jstafford@usgs.gov","orcid":"https://orcid.org/0000-0001-7590-8708","contributorId":267260,"corporation":false,"usgs":true,"family":"Stafford","given":"Joshua","email":"jstafford@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":907323,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70248391,"text":"70248391 - 2024 - Nonlinear patterns of surface elevation change in coastal wetlands: The value of generalized additive models for quantifying rates of change","interactions":[],"lastModifiedDate":"2024-08-26T14:08:55.764687","indexId":"70248391","displayToPublicDate":"2023-09-04T07:07:31","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Nonlinear patterns of surface elevation change in coastal wetlands: The value of generalized additive models for quantifying rates of change","docAbstract":"In the face of accelerating climate change and rising sea levels, quantifying surface elevation change dynamics in coastal wetlands can help to develop a more complete understanding of the implications of sea-level rise on coastal wetland stability. The surface elevation table-marker horizon (SET-MH) approach has been widely used to quantify and characterize surface elevation change dynamics in coastal marshes and mangrove forests. Whereas past studies that utilized the SET-MH approach have most often quantified rates of surface elevation change using simple linear regression analyses, several recent studies have shown that elevation patterns can include a diverse combination of linear and non-linear patterns. Generalized additive models (GAMs) are an extension of generalized linear models (GLMs) that have previously been used to analyze a variety of complex ecological processes such as cyclical changes in water quality, species distributions, long-term patterns in wetland area change, and palaeoecological time series. Here, we use long-term SET data to demonstrate the value of generalized additive models for analyzing non-linear patterns of surface elevation change in coastal wetlands. Additionally, we illustrate how the GAM approach can be used to effectively quantify rates of elevation change at both landscape- and local site-level scales.
Broad-scale mapping of stream channel and floodplain geomorphic metrics is critical to improve the understanding of geomorphic change, biogeochemical processes, riverine habitat quality, and opportunities for management intervention. The Floodplain and Channel Evaluation Tool (FACET) was developed to provide an open-source tool for automated processing of digital elevation models (DEMs) to generate regional-scale estimates of bank height, channel width, floodplain width, and a suite of other fluvial geomorphic dimensions that can be summarized at the stream reach- or catchment-scale. FACET was tested on 3-m DEMs covering the Delaware River watershed and 85% of the Chesapeake Bay watershed in the United States (U.S.) and on 1-m DEMs for a subset of the study area. Accuracy was assessed from data collected at 67 field sites in the study area. FACET successfully measured geomorphometry for over 270,000 stream reaches (88% of streams attempted) in the study area. Factors that reduced the ability of FACET to accurately estimate geomorphic metrics included errors in DEM hydro-conditioning, gradually sloping banks, incised stream channels, and the use of fixed input parameters to define buffer lengths. Even with these limitations, FACET was able to map regional patterns in stream and floodplain geomorphometry providing a robust dataset that can enhance modeling and management efforts throughout the mid-Atlantic region, U.S.
","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.13163","usgsCitation":"Hopkins, K.G., Ahmed, L., Claggett, P.R., Lamont, S., Metes, M.J., and Noe, G.E., 2024, Mapping stream and floodplain geomorphometry with the Floodplain and Channel Evaluation Tool: Journal of the American Water Resources Assocation, v. 60, no. 2, p. 480-498, https://doi.org/10.1111/1752-1688.13163.","productDescription":"19 p.","startPage":"480","endPage":"498","ipdsId":"IP-122007","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":498279,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.13163","text":"Publisher Index Page"},{"id":435100,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RQJPT1","text":"USGS data release","linkHelpText":"Geomorphometry for Streams and Floodplains in the Chesapeake and Delaware Watersheds"},{"id":420407,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, New Jersey, New York, Maryland, Pennsylvania, Virginia, West Virginia","otherGeospatial":"Chesapeake Bay Watershed, Delaware Bay Watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.0949618969048,\n 36.62653336736905\n ],\n [\n -73.85224340648863,\n 36.62653336736905\n ],\n [\n -73.85224340648863,\n 43.03867782373945\n ],\n [\n -82.0949618969048,\n 43.03867782373945\n ],\n [\n -82.0949618969048,\n 36.62653336736905\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"60","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-08-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Hopkins, Kristina G. 0000-0003-1699-9384 khopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1699-9384","contributorId":195604,"corporation":false,"usgs":true,"family":"Hopkins","given":"Kristina","email":"khopkins@usgs.gov","middleInitial":"G.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":881561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ahmed, Labeeb 0000-0003-4524-9611","orcid":"https://orcid.org/0000-0003-4524-9611","contributorId":303117,"corporation":false,"usgs":true,"family":"Ahmed","given":"Labeeb","email":"","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":881562,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Claggett, Peter R. 0000-0002-5335-2857 pclaggett@usgs.gov","orcid":"https://orcid.org/0000-0002-5335-2857","contributorId":176287,"corporation":false,"usgs":true,"family":"Claggett","given":"Peter","email":"pclaggett@usgs.gov","middleInitial":"R.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":881563,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lamont, Samuel","contributorId":328860,"corporation":false,"usgs":false,"family":"Lamont","given":"Samuel","affiliations":[{"id":78512,"text":"Athenium Analytics","active":true,"usgs":false}],"preferred":false,"id":881564,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Metes, Marina J. 0000-0002-6797-9837","orcid":"https://orcid.org/0000-0002-6797-9837","contributorId":204835,"corporation":false,"usgs":true,"family":"Metes","given":"Marina","middleInitial":"J.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":881565,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":881566,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70248018,"text":"70248018 - 2024 - Effects of feeding and habitat on resting metabolic rates of the Pacific walrus","interactions":[],"lastModifiedDate":"2024-01-24T17:43:03.622256","indexId":"70248018","displayToPublicDate":"2023-08-31T07:39:57","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2671,"text":"Marine Mammal Science","active":true,"publicationSubtype":{"id":10}},"title":"Effects of feeding and habitat on resting metabolic rates of the Pacific walrus","docAbstract":"Arctic marine mammals live in a rapidly changing environment due to the amplified effects of global warming. Pacific walruses (Odobenus rosmarus divergens) have responded to declines in Arctic sea-ice extent by increasingly hauling out on land farther from their benthic foraging habitat. Energy models can be useful for better understanding the potential implications of changes in behavior on body condition and reproduction but require behavior-specific metabolic rates. Here we measured the resting metabolic rates (RMR) of three captive, adult female Pacific walruses through breath-by-breath respirometry when fed and fasted resting out of water (sitting and lying down) and while fed resting in water. RMR in and out of water were positively related with pretrial energy intake when not fasted and 25% higher than RMR when walruses were fasted and out of water. Overall, RMR was higher than previously estimated for this species. Fasting RMR out of water was only 25% lower than subsurface swimming metabolic rates suggestive of relatively efficient swimming in adult females. Our results identify the importance of considering feeding status and species-specific differences in affecting metabolic costs. Further research is needed to better understand potential energetic costs of thermoregulation at temperatures experienced by wild walruses.
","language":"English","publisher":"Wiley","doi":"10.1111/mms.13065","usgsCitation":"Rode, K.D., Rocabert, J., Borque-Espinosa, A., Ferrero-Fernandez, D., and Fahlman, A., 2024, Effects of feeding and habitat on resting metabolic rates of the Pacific walrus: Marine Mammal Science, v. 40, no. 1, p. 184-195, https://doi.org/10.1111/mms.13065.","productDescription":"12 p.","startPage":"184","endPage":"195","ipdsId":"IP-145412","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":498278,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/mms.13065","text":"Publisher Index Page"},{"id":420359,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Spain","city":"Valencia","otherGeospatial":"Oceanogràfic Aquarium","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -0.34989761056129964,\n 39.45284564008105\n ],\n [\n -0.34791806836184946,\n 39.452167673433905\n ],\n [\n -0.34636955551226833,\n 39.451822524241294\n ],\n [\n -0.3414366640649007,\n 39.450614488592265\n ],\n [\n -0.34180383721491125,\n 39.45273470053647\n ],\n [\n -0.3416601607646328,\n 39.45399200502928\n ],\n [\n -0.34461351001357343,\n 39.45374547652608\n ],\n [\n -0.3473752906621712,\n 39.45420155357053\n ],\n [\n -0.3483012055616257,\n 39.45469460647391\n ],\n [\n -0.34900362376129124,\n 39.45427551172804\n ],\n [\n -0.34989761056129964,\n 39.45284564008105\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"40","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-08-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":881513,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rocabert, Joan","contributorId":328857,"corporation":false,"usgs":false,"family":"Rocabert","given":"Joan","email":"","affiliations":[{"id":78510,"text":"Adm+ engineering","active":true,"usgs":false}],"preferred":false,"id":881514,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Borque-Espinosa, Alicia","contributorId":269982,"corporation":false,"usgs":false,"family":"Borque-Espinosa","given":"Alicia","email":"","affiliations":[{"id":56054,"text":"Universitat de Valencia","active":true,"usgs":false}],"preferred":false,"id":881515,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ferrero-Fernandez, Diana","contributorId":328858,"corporation":false,"usgs":false,"family":"Ferrero-Fernandez","given":"Diana","email":"","affiliations":[{"id":78511,"text":"Avanqua Oceanografic SL","active":true,"usgs":false}],"preferred":false,"id":881516,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fahlman, Andreas","contributorId":269986,"corporation":false,"usgs":false,"family":"Fahlman","given":"Andreas","email":"","affiliations":[{"id":56058,"text":"Fundacion Oceanografic de la Comunitat Valenciana","active":true,"usgs":false}],"preferred":false,"id":881517,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70252624,"text":"70252624 - 2024 - Wind River Subbasin Restoration Annual Report of USGS Activities January 2021 through December 2022","interactions":[],"lastModifiedDate":"2024-04-01T11:59:57.750462","indexId":"70252624","displayToPublicDate":"2023-08-31T06:58:06","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Wind River Subbasin Restoration Annual Report of USGS Activities January 2021 through December 2022","docAbstract":"We sampled juvenile wild Steelhead Trout Oncorhynchus mykiss in headwater streams of the Wind River, WA, to characterize population attributes and investigate life-history metrics, particularly migratory patterns, and early life-stage survival. We used passive integrated transponder (PIT) tagging and a series of instream PIT-tag interrogation systems (PTISs) to track juveniles and adults. The Wind River subbasin is considered a wild Steelhead refuge by Washington Department of Fish and Wildlife (WDFW). No hatchery Steelhead Trout have been released in the Wind River subbasin since 1997, and hatchery adults are estimated at less than one percent of spawners in most years. Over twenty years of Steelhead Trout status and trend monitoring and research in the subbasin is contributing to understanding of population response to numerous restoration actions in the subbasin, including removal of Hemlock Dam from Trout Creek in 2009, which had an outdated adult ladder and contributed to increased water temperatures reducing performance of juvenile Steelhead Trout. \n\nData from our study, and companion work by Washington Department of Fish and Wildlife, are contributing to Bonneville Power Administrations (BPA) Research, Monitoring, and Evaluation (RM&E) Program Strategy of Fish Population Status Monitoring (https://www.cbfish.org/ProgramStrategy.mvc/Index). Specifically, this work addresses the sub-strategies of 1) Assessing the Status and Trends of Diversity of Natural Origin Fish Populations and Uncertainties Research regarding differing life histories of a wild Steelhead Trout population, 2) Assessing the Status and Trend of Adult Natural Origin Fish Populations, and 3) Monitoring and Evaluating the Effectiveness of Tributary Habitat Actions Relative to Environmental, Physical, or Biological Performance Objectives. \n\nDuring summer and fall 2021 and 2022, we PIT-tagged 1,889 and 1,391 Steelhead parr (age-0 and age-1), respectively, in the Trout Creek and upper Wind River watersheds. Age-0 parr were at lower densities in 2022 than many years due to a poor return of adult Steelhead spawners in 2022. Steelhead Trout parr were recaptured and detected through repeat headwater sampling, smolt trap operations, and instream PTISs and Columbia River PIT-tag detection infrastructure. We maintained, and upgraded in 2022, a series of six instream PTISs to monitor movement of tagged Steelhead Trout parr, smolts, and adults, providing data to population assessments, and life-cycle research and modeling. \n\nWe continue to improve our PTISs in the Wind River subbasin. The improvements in siting and addition of grid power to the upper Wind River PTIS (site code WRU, rkm 27.6) during 2016 and 2017, and the addition of the Mine Reach site (site code MIN, rkm 36.0) have much improved PIT-tagged fish monitoring in the upper Wind River watershed. The paired PTIS design in the upper Wind River watershed (sites WRU and MIN) matches that in the Trout Creek watershed (sites TRC, rkm 2.0; and TC4, rkm 11.5) and will allow comparisons of Steelhead Trout population metrics between the two watersheds as response to Hemlock Dam removal continues and future restoration efforts occur in Trout Creek. \n\nDuring summer 2022, we upgraded three PTISs with new transceivers and new or reconfigured antennas. We replaced the Biomark 1001 Multiplexing Transceivers with Biomark MTS IS1001 Master Controller and individual IS1001 Transceivers at WRU, TRC (Trout Creek, rkm 2.0), and TC4 (Trout Creek at 43 Road Bridge, rkm 11.5). These new transceivers and antennas will improve detection performance due to increased read range and decreased susceptibility to noise. We also installed an additional IS1001 Transceiver and 11-foot antenna at WRA in summer 2021 to increase cross-channel and water column coverage.\n\nDetection data from PIT-tagged adult Steelhead Trout at PTISs allow assessment of adult escapement to tributary watersheds within the Wind River subbasin. Adult Steelhead Trout detection efficiency estimates at our primary PTIS in Trout Creek have been greater than 99 percent during six of the past eight years and have exceeded 97% at our primary PTIS in the Wind River during seven of the past eight years. Adult escapement estimates to tributary watersheds are helping us evaluate the efficacy of the 2009 removal of Hemlock Dam from rkm 2.0 of Trout Creek. The dam had potential negative effects on Steelhead Trout populations in Trout Creek due to hydrologic impairment, increased temperatures, and adult passage issues. Hemlock Dam was laddered for adult passage, but not to modern standards, which likely resulted in avoidance by some adult Steelhead Trout. \n\nDetections at the instream PTISs have demonstrated trends of age-0 and age-1 parr emigration from natal areas during summer and fall, in addition to the expected movement of parr and smolts in spring. We have estimated that from 15 to 51% of parr tagged as age-0 fish in headwater areas make downstream migrations at age 1 for additional rearing. Downstream movement occurs primarily during spring but also in fall. We have estimated that up to 27% of Steelhead Trout parr, tagged as age-1 fish, make downstream migrations during fall. Fall migration of age-1 parr has been more common in the upper Wind River watershed than the Trout Creek watershed. These findings raise questions about where parr most successfully rear and whether migrations are density- or habitat-quality driven. Broader monitoring programs would give a more comprehensive understanding of juvenile Steelhead Trout production and rearing and contributions to adult recruitment from varied rearing strategies. \n\nRepeat sampling at consistent locations in the subbasin has enabled assessment of juvenile Steelhead Trout growth patterns. Growth rates (relative change in weight) of age-0 PIT-tagged parr during summer were similar across the subbasin, though slightly lower in the Trout Creek watershed. The greatest summer growth rate was in the mainstem of the Wind River (rkm 37 and 41). Summer growth rates were lower for age-1 parr in the Trout Creek watershed than the upper Wind River watershed. Yearly relative growth was similar across the subbasin for both age-0 and age-1 tagged parr. Lower Layout Creek had the highest yearly growth rate of parr from age-0 to age-1. Mainstem Wind River (rkm 37) had the highest yearly growth rate of parr from age-1 to age-2. \n\nNon-native Brook Trout Salvelinus fontinalis are present in the subbasin, chiefly the Trout Creek watershed, and repeat sampling provides an index of their prevalence. Mean percent-of-catch that is Brook Trout, at four sample sites in Trout Creek, has declined from the period 1998 2003 to the period 2011 2022. Percent-of-catch and number of Brook Trout at the Trout Creek sites from 2011 through 2022 has generally declined, though both metrics have been somewhat variable. \n\nEvaluation and planning of habitat restoration efforts are critical to ensure efficient use of money and resources. Assessing Steelhead Trout life history variation in the Wind River subbasin will inform research and tracking of many populations and help inform habitat restoration and water allocation planning. Movement of Steelhead Trout parr from natal areas to other rearing areas raises questions regarding juvenile abundance, origin, and habitat use within watersheds. Improved PTISs and focused PIT-tagging of age-0 and age-1 Steelhead Trout parr allow investigation of such questions. Increasingly detailed viable salmonid population information, such as that provided by PIT-tagging and instream PTIS networks like those in the Wind River, can provide data to inform fisheries policy and management and understand life-history strategies and limiting factors. Such efforts also enable assessment of long-term effects of habitat restoration actions such as the removal of Hemlock Dam on Trout Creek, and the proposed Stage-0 restoration effort for upper Trout Creek, which would be a large-scale effort to reset sections of stream within their floodplain, restoring connectivity and interaction with surrounding landscape.","language":"English","publisher":"Bonneville Power Administration","collaboration":"Bonneville Power Administration","usgsCitation":"Jezorek, I., 2024, Wind River Subbasin Restoration Annual Report of USGS Activities January 2021 through December 2022, 68 p.","productDescription":"68 p.","ipdsId":"IP-156916","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":427265,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":427258,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.cbfish.org/Document.mvc/Viewer/P204538"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jezorek, Ian 0000-0002-3842-3485","orcid":"https://orcid.org/0000-0002-3842-3485","contributorId":217811,"corporation":false,"usgs":true,"family":"Jezorek","given":"Ian","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":897744,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70273816,"text":"70273816 - 2024 - Future-proofing the Emergency Recovery Plan for freshwater biodiversity","interactions":[],"lastModifiedDate":"2026-02-04T15:08:24.666801","indexId":"70273816","displayToPublicDate":"2023-08-29T09:05:13","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5056,"text":"Environmental Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Future-proofing the Emergency Recovery Plan for freshwater biodiversity","docAbstract":"Freshwater biodiversity loss is accelerating globally, but humanity can change this trajectory through actions that enable recovery. To be successful, these actions require coordination and planning at a global scale. The Emergency Recovery Plan for global freshwater biodiversity aims to reduce the risk for freshwater biodiversity loss through six priority actions: (1) accelerate implementation of environmental flows; (2) improve water quality to sustain aquatic life; (3) protect and restore critical habitats; (4) manage exploitation of freshwater species and riverine aggregates; (5) prevent and control nonnative species invasions in freshwater habitats; and (6) safeguard and restore freshwater connectivity. These actions can be implemented using future-proofing approaches that anticipate future risks (e.g., emerging pollutants, new invaders, and synergistic effects) and minimize likely stressors to make conservation of freshwater biodiversity more resilient to climate change and other global environmental challenges. While uncertainty with respect to past observations is not a new concern for freshwater biodiversity, future-proofing has the distinction of accounting for the uncertainty of future conditions that have no historical baseline. The level of uncertainty with respect to future conditions is unprecedented. Future-proofing of the Emergency Recovery Plan for freshwater biodiversity will require anticipating future changes and developing and implementing actions to address those future changes. Here, we showcase future-proofing approaches likely to be successful using local case studies and examples. Ensuring that response options within the Emergency Recovery Plan are future-proofed will provide decision makers with science-informed choices, even in the face of uncertain and potentially new future conditions. We are at an inflection point for global freshwater biodiversity loss; learning from defeats and successes can support improved actions toward a sustainable future.","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/er-2022-0116","usgsCitation":"Lynch, A., Hyman, A.A., Cooke, S.J., Capon, S., Franklin, P.A., Jähnig, S.C., McCartney, M., Nguyễn, P.H., Owuor, M., Pittock, J., Samways, M.J., Silva, L.G., Steel, E.A., and Tickner, D., 2024, Future-proofing the Emergency Recovery Plan for freshwater biodiversity: Environmental Reviews, v. 32, no. 3, p. 350-365, https://doi.org/10.1139/er-2022-0116.","productDescription":"16 p.","startPage":"350","endPage":"365","ipdsId":"IP-145327","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":499624,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/er-2022-0116","text":"Publisher Index Page"},{"id":499499,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-08-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Lynch, Abigail J. 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":207361,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","middleInitial":"J.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":954910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hyman, Amanda A.","contributorId":365835,"corporation":false,"usgs":false,"family":"Hyman","given":"Amanda","middleInitial":"A.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":954911,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cooke, Steven J.","contributorId":365836,"corporation":false,"usgs":false,"family":"Cooke","given":"Steven","middleInitial":"J.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":954912,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Capon, Sam","contributorId":365837,"corporation":false,"usgs":false,"family":"Capon","given":"Sam","affiliations":[{"id":7117,"text":"Griffith University","active":true,"usgs":false}],"preferred":false,"id":954913,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Franklin, Paul A.","contributorId":365838,"corporation":false,"usgs":false,"family":"Franklin","given":"Paul","middleInitial":"A.","affiliations":[{"id":40175,"text":"National Institute of Water and Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":954914,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jähnig, Sonja C.","contributorId":365839,"corporation":false,"usgs":false,"family":"Jähnig","given":"Sonja","middleInitial":"C.","affiliations":[{"id":87233,"text":"Leibniz Institute of Freshwater Ecology and Inland Fisheries, Humboldt-Universität zu Berlin","active":true,"usgs":false}],"preferred":false,"id":954915,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McCartney, Matthew","contributorId":365840,"corporation":false,"usgs":false,"family":"McCartney","given":"Matthew","affiliations":[{"id":40176,"text":"International Water Management Institute","active":true,"usgs":false}],"preferred":false,"id":954916,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nguyễn, Phú Hòa","contributorId":365841,"corporation":false,"usgs":false,"family":"Nguyễn","given":"Phú","middleInitial":"Hòa","affiliations":[{"id":65575,"text":"Nong Lam University","active":true,"usgs":false}],"preferred":false,"id":954917,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Owuor, Margaret","contributorId":305610,"corporation":false,"usgs":false,"family":"Owuor","given":"Margaret","email":"","affiliations":[{"id":25430,"text":"University of Bern","active":true,"usgs":false}],"preferred":false,"id":954918,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pittock, Jamie","contributorId":365842,"corporation":false,"usgs":false,"family":"Pittock","given":"Jamie","affiliations":[{"id":17939,"text":"The Australian National University","active":true,"usgs":false}],"preferred":false,"id":954919,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Samways, Michael J.","contributorId":365843,"corporation":false,"usgs":false,"family":"Samways","given":"Michael","middleInitial":"J.","affiliations":[{"id":39919,"text":"Stellenbosch University","active":true,"usgs":false}],"preferred":false,"id":954920,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Silva, Luiz G.","contributorId":365844,"corporation":false,"usgs":false,"family":"Silva","given":"Luiz","middleInitial":"G.","affiliations":[{"id":40494,"text":"ETH-Zurich","active":true,"usgs":false}],"preferred":false,"id":954921,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Steel, E. Ashley","contributorId":365845,"corporation":false,"usgs":false,"family":"Steel","given":"E.","middleInitial":"Ashley","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":954922,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Tickner, David","contributorId":224152,"corporation":false,"usgs":false,"family":"Tickner","given":"David","email":"","affiliations":[{"id":37767,"text":"World Wildlife Fund","active":true,"usgs":false}],"preferred":false,"id":954923,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70248311,"text":"70248311 - 2024 - Benefits and cautions in data assimilation strategies: An example of modeling groundwater recharge","interactions":[],"lastModifiedDate":"2024-05-07T14:12:35.110446","indexId":"70248311","displayToPublicDate":"2023-08-28T08:18:18","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Benefits and cautions in data assimilation strategies: An example of modeling groundwater recharge","docAbstract":"Assimilating recent observations improves model outcomes for real-time assessments of groundwater processes. This is demonstrated in estimating time-varying recharge to a shallow fractured-rock aquifer in response to precipitation. Results from estimating the time-varying water-table altitude (h) and recharge, and their error covariances, are compared for forecasting, filtering, and fixed-lag smoothing (FLS), which are implemented using the Kalman Filter as applied to a data-driven, mechanistic model of recharge. Forecasting uses past observations to predict future states and is the current paradigm in most groundwater modeling investigations; filtering assimilates observations up to the current time to estimate current states; and FLS estimates states following a time lag over which additional observations are collected. Results for forecasting yield a large error covariance relative to the magnitude of the expected recharge. With assimilating recent observations of h, filtering and FLS produce estimates of recharge that better represent time-varying observations of h and reduce uncertainty in comparison to forecasting. Although model outcomes from applying data assimilation through filtering or FLS reduce model uncertainty, they are not necessarily mass conservative, whereas forecasting outcomes are mass conservative. Mass conservative outcomes from forecasting are not necessarily more accurate, because process errors are inherent in any model. Improvements in estimating real-time groundwater conditions that better represent observations need to be weighed for the model application against outcomes with inherent process deficiencies. Results from data assimilation strategies discussed in this investigation are anticipated to be relevant to other groundwater processes models where system states are sensitive to system inputs.
","language":"English","publisher":"National Groundwater Association","doi":"10.1111/gwat.13349","usgsCitation":"Shapiro, A.M., and Day-Lewis, F., 2024, Benefits and cautions in data assimilation strategies: An example of modeling groundwater recharge: Groundwater, v. 62, no. 3, p. 405-416, https://doi.org/10.1111/gwat.13349.","productDescription":"12 p.","startPage":"405","endPage":"416","ipdsId":"IP-145008","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":498221,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.13349","text":"Publisher Index Page"},{"id":420617,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"http://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-09-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Shapiro, Allen M. 0000-0002-6425-9607 ashapiro@usgs.gov","orcid":"https://orcid.org/0000-0002-6425-9607","contributorId":2164,"corporation":false,"usgs":true,"family":"Shapiro","given":"Allen","email":"ashapiro@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":882392,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day-Lewis, Frederick","contributorId":214659,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":882393,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70247941,"text":"70247941 - 2024 - Genetic analysis of federally endangered Cape Sable seaside sparrow subpopulations in the Greater Everglades, USA","interactions":[],"lastModifiedDate":"2024-02-07T16:38:44.10256","indexId":"70247941","displayToPublicDate":"2023-08-25T08:36:09","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Genetic analysis of federally endangered Cape Sable seaside sparrow subpopulations in the Greater Everglades, USA","docAbstract":"The federally endangered Cape Sable seaside sparrow (Ammospiza maritima mirabilis) is endemic to the Greater Everglades ecosystem in southern Florida, inhabiting fragmented marl prairies in six individual subpopulations. The subspecies is threatened by loss of breeding habitat from fire and water management. Genetic information is severely limited for the subspecies but could help inform decisions regarding subpopulation protections and potential translocations for genetic rescue. To provide genetic data and inform management efforts, feather samples were collected across five subpopulations (designated A–E) and protocols were tested to optimize DNA extraction yields. We assessed four mitochondrial DNA markers (N = 36–69) and 12 nuclear microsatellite loci (N = 55) in 108 sparrows. Mitochondrial DNA sequences revealed low haplotype diversity, with NADH dehydrogenase-2 haplotypes matching to most other extant subspecies and to the Atlantic coast subspecies. Nuclear diversity was low compared to other subspecies, but similar across subpopulations. Samples grouped as one population when analyzed by Principal Component Analysis, Bayesian modelling and genetic distance metrics. Limited genetic emigration was detected from one putative migrant. Relatedness was significantly different for sparrows in the most geographically distant subpopulation (A), likely reflecting high self-recruitment and natal site fidelity (P = 0.003). The low to moderate effective population size (NE = 202.4; NE:NC = 0.06) and generation time estimates indicated that unique genetic variation could be lost quickly during stochastic events. The sample sizes were limited, which reduced the power to comprehensively address recent population size reductions and any subsequent loss of genetic diversity.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s10592-023-01551-0","usgsCitation":"Beaver, C., Virzi, T., and Hunter, M., 2024, Genetic analysis of federally endangered Cape Sable seaside sparrow subpopulations in the Greater Everglades, USA: Conservation Genetics, v. 25, p. 101-116, https://doi.org/10.1007/s10592-023-01551-0.","productDescription":"16 p.; Data Release","startPage":"101","endPage":"116","ipdsId":"IP-129514","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":441213,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10592-023-01551-0","text":"Publisher Index Page"},{"id":420243,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NYGMI1","linkFileType":{"id":5,"text":"html"}},{"id":420152,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -81.92502664678194,\n 26.153665277276858\n ],\n [\n -81.92502664678194,\n 24.937300882586968\n ],\n [\n -80.0519651651226,\n 24.937300882586968\n ],\n [\n -80.0519651651226,\n 26.153665277276858\n ],\n [\n -81.92502664678194,\n 26.153665277276858\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"25","noUsgsAuthors":false,"publicationDate":"2023-08-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Beaver, Caitlin 0000-0002-9269-7604","orcid":"https://orcid.org/0000-0002-9269-7604","contributorId":219703,"corporation":false,"usgs":true,"family":"Beaver","given":"Caitlin","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":881149,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Virzi, Thomas","contributorId":328736,"corporation":false,"usgs":false,"family":"Virzi","given":"Thomas","email":"","affiliations":[{"id":78474,"text":"Conservation InSight","active":true,"usgs":false}],"preferred":false,"id":881150,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunter, Margaret 0000-0002-4760-9302","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":214958,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":881151,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70248271,"text":"70248271 - 2024 - Fluvial delivery and wave resuspension of sediment in a sheltered, urbanized Pacific Northwest estuary","interactions":[],"lastModifiedDate":"2023-12-21T14:20:35.357244","indexId":"70248271","displayToPublicDate":"2023-08-23T08:30:52","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Fluvial delivery and wave resuspension of sediment in a sheltered, urbanized Pacific Northwest estuary","docAbstract":"The sequence and timing of sediment delivery and redistribution in coastal systems is important for shoreline stability, ecosystem services, and remediation planning. In temperate estuaries, understanding the role of fluvial sediment delivery and dispersal relative to wind and wave remobilization processes is particularly important to address the fate of contaminants, many of which adsorb to fine particles, and to assess changes in coastal systems under projected changes in climate. Here we present an integrated analysis of observations at multiple timescales to evaluate sediment dynamics and the sedimentary coupling between fluvial and oceanographic processes within Bellingham Bay, Washington, USA, an urban estuary. Time-series data of currents, waves, and turbidity at four moorings along with geochemical data from grab samples and cores of seabed sediment from across the bay are contrasted with the dynamics of the Nooksack River, its fluvial sediment source. Even during large (5-yr return interval) river-flood events, water-column suspended-sediment concentration (SSC) near the bed on the outer delta topset was not correlated with Nooksack River runoff and was instead closely correlated with local wind-wave height. In contrast, near-surface SSC was strongly correlated with fluvial discharge, suggesting intense water-column suspended-sediment stratification during flood events. Grain-size and geochemical (
We present an updated paleomagnetic pole from the Gwalior Sills in the Bundelkhand craton within the Northern India Block (NIB). Geochronological results from baddeleyite grains from one of the sills yielded an age of 1719 ± 7 Ma which together with a previously published age indicates the emplacement of sills between 1712 and 1756 Ma (∼1730 Ma). The paleomagnetic pole calculated from additional sites in this study, combined with previous studies, falls at 13.5°N, 173.7°E (A95 = 3.6°, K = 98) indicating near equatorial latitudes for northern India. Limestone sampled a few meters above the contact with the sill exhibits similar directions consistent with having been baked by the sill. The pole does not resemble any younger poles from Peninsular India and receives a reliability score of R = 5. Dykes in the Singhbhum craton are slightly older (1765 Ma) and indicate low paleolatitudes for the Southern Indian Block (SIB). Although the Gwalior and Singhbhum poles data indicate low latitudes for both the NIB and SIB, they are statistically different and indicate that a rotation of at least 65° is required to bring the poles into accord. We propose that the NIB and SIB were in proximity but were separated by an ocean basin. We propose the name Gotosindhu (‘Ancient Sea’) for the body of water separating the NIB and SIB. We also review previous models for the assembly of the Columbia supercontinent during this time and critically examine the position of the NIB/SIB in those reconstructions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gr.2023.08.004","usgsCitation":"Meert, J., Miller, S.W., Pivarunas, A.F., Pandit, M.K., Mueller, P.A., Sinha, A.K., Kamenov, G., Kwafo, S., and Singha, A., 2024, Paleomagnetism and geochronology of the Gwalior Sills, Bundelkhand craton, Northern India Block: New constraints on Greater India assembly: Gondwana Research, v. 125, p. 29-48, https://doi.org/10.1016/j.gr.2023.08.004.","productDescription":"20 p.","startPage":"29","endPage":"48","ipdsId":"IP-143323","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":441221,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gr.2023.08.004","text":"Publisher Index Page"},{"id":421022,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"India","otherGeospatial":"Bundelkhand craton, Gwalior Sills","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 78,\n 27\n ],\n [\n 78,\n 24\n ],\n [\n 81,\n 24\n ],\n [\n 81,\n 27\n ],\n [\n 78,\n 27\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"125","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Meert, Joseph 0000-0003-0297-3239","orcid":"https://orcid.org/0000-0003-0297-3239","contributorId":329970,"corporation":false,"usgs":false,"family":"Meert","given":"Joseph","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":883712,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Scott W.","contributorId":237002,"corporation":false,"usgs":false,"family":"Miller","given":"Scott","email":"","middleInitial":"W.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":883713,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pivarunas, Anthony Francis 0000-0002-0003-2059","orcid":"https://orcid.org/0000-0002-0003-2059","contributorId":301014,"corporation":false,"usgs":true,"family":"Pivarunas","given":"Anthony","email":"","middleInitial":"Francis","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":883714,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pandit, Manoj K. 0000-0002-0404-3337","orcid":"https://orcid.org/0000-0002-0404-3337","contributorId":329971,"corporation":false,"usgs":false,"family":"Pandit","given":"Manoj","email":"","middleInitial":"K.","affiliations":[{"id":78752,"text":"University of Rajasthan","active":true,"usgs":false}],"preferred":false,"id":883715,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mueller, Paul A.","contributorId":191457,"corporation":false,"usgs":false,"family":"Mueller","given":"Paul","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":883716,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sinha, Anup K.","contributorId":329972,"corporation":false,"usgs":false,"family":"Sinha","given":"Anup","email":"","middleInitial":"K.","affiliations":[{"id":78754,"text":"Indian Institute Of Geomagnetism","active":true,"usgs":false}],"preferred":false,"id":883717,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kamenov, George 0000-0002-6041-6687","orcid":"https://orcid.org/0000-0002-6041-6687","contributorId":329973,"corporation":false,"usgs":false,"family":"Kamenov","given":"George","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":883718,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kwafo, Samuel","contributorId":329974,"corporation":false,"usgs":false,"family":"Kwafo","given":"Samuel","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":883719,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Singha, Ananya","contributorId":329975,"corporation":false,"usgs":false,"family":"Singha","given":"Ananya","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":883720,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70258109,"text":"70258109 - 2024 - A survey of non-USGS continuous streamflow gaging networks in the Pacific Northwest","interactions":[],"lastModifiedDate":"2024-09-05T13:23:12.429605","indexId":"70258109","displayToPublicDate":"2023-08-11T08:16:48","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10956,"text":"Journal of the American Water Resource Association (JAWRA)","active":true,"publicationSubtype":{"id":10}},"title":"A survey of non-USGS continuous streamflow gaging networks in the Pacific Northwest","docAbstract":"Extensive streamflow data sources exist beyond the largest streamflow data provider in the United States, the U.S. Geological Survey. We developed and distributed a survey to about 300 individuals and organizations that collect streamflow data across the Pacific Northwest (Idaho, Oregon, Washington). We received 100 responses with 56% of those sufficiently complete to include in the analysis. From these responses, there are about 2000 streamflow monitoring locations in the region beyond the USGS monitoring network. The duration of record for gages is related to the size of the streamflow gaging network, with small and large networks generally operating monitoring locations for less than 5 years and more than 10 years, respectively. Quality assurance and quality control are variable across organizations, with 41% of respondents having at least two review steps and 13% that audit their data for long-term consistency. Results of this survey begin to establish the differing capabilities of large and small stream gaging networks and highlight how supporting the overall quality streamflow data collection and management within the water resources community will improve our ability to harmonize these datasets in the future.
","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.13149","usgsCitation":"Kaiser, K.E., Blasch, K.W., and Hall, M., 2024, A survey of non-USGS continuous streamflow gaging networks in the Pacific Northwest: Journal of the American Water Resource Association (JAWRA), v. 59, no. 6, p. 1211-1218, https://doi.org/10.1111/1752-1688.13149.","productDescription":"8 p.","startPage":"1211","endPage":"1218","ipdsId":"IP-142681","costCenters":[{"id":65563,"text":"Northwest Pacific Islands Regional Director's Office","active":true,"usgs":true}],"links":[{"id":441227,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.13149","text":"Publisher Index Page"},{"id":433490,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Nevada, Oregon, Washington, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124.47437015763583,\n 41.98417594902753\n ],\n [\n -121.94144940029119,\n 42.05841675412967\n ],\n [\n -120.55196789228168,\n 42.959894438527726\n ],\n [\n -119.15101411101895,\n 42.07389704771276\n ],\n [\n -118.84333003127054,\n 41.53204744400705\n ],\n [\n -114.21949167571822,\n 41.51405957686373\n ],\n [\n -111.7061218820717,\n 42.47070751230993\n ],\n [\n -110.63561148767897,\n 43.14219469983823\n ],\n [\n -110.82201689387423,\n 44.830410763885425\n ],\n [\n -112.56034621720048,\n 44.45343237218398\n ],\n [\n -113.51834587414581,\n 44.98330815523411\n ],\n [\n -113.9849522892037,\n 45.688499353351176\n ],\n [\n -112.56861167798766,\n 46.08082914775966\n ],\n [\n -113.8237203184232,\n 49.136259073783094\n ],\n [\n -122.49064851973574,\n 49.0213829486741\n ],\n [\n -122.9683616513303,\n 48.94082485236967\n ],\n [\n -123.15942600322472,\n 48.612646583701036\n ],\n [\n -122.98476650872163,\n 48.28271468128108\n ],\n [\n -124.86569363227332,\n 48.50211320590276\n ],\n [\n -124.74751458499767,\n 47.74944992952496\n ],\n [\n -124.12136496752291,\n 46.02755037104217\n ],\n [\n -124.3979308790089,\n 43.484126386421195\n ],\n [\n -124.70351480449085,\n 42.763233313269694\n ],\n [\n -124.47437015763583,\n 41.98417594902753\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"59","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-08-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Kaiser, Kendra E. 0000-0003-1773-6236","orcid":"https://orcid.org/0000-0003-1773-6236","contributorId":211475,"corporation":false,"usgs":false,"family":"Kaiser","given":"Kendra","email":"","middleInitial":"E.","affiliations":[{"id":38255,"text":"Boise State Unviersity","active":true,"usgs":false}],"preferred":false,"id":912401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blasch, Kyle W. 0000-0002-0590-0724","orcid":"https://orcid.org/0000-0002-0590-0724","contributorId":203415,"corporation":false,"usgs":true,"family":"Blasch","given":"Kyle","email":"","middleInitial":"W.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":912229,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hall, Mcallister","contributorId":343924,"corporation":false,"usgs":false,"family":"Hall","given":"Mcallister","email":"","affiliations":[],"preferred":false,"id":912402,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70250916,"text":"70250916 - 2024 - Estimating lentic recreational fisheries catch and effort across the United States","interactions":[],"lastModifiedDate":"2024-01-12T13:33:57.469782","indexId":"70250916","displayToPublicDate":"2023-08-11T07:32:58","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Estimating lentic recreational fisheries catch and effort across the United States","docAbstract":"Recreational fisheries represent a socially, ecologically, and economically significant component of global fisheries. The U.S. Inland Creel and Angler Survey Catalog (CreelCat) database includes inland recreational fisheries survey data across the United States to facilitate large-scale analyses. However, because survey methods differ, a statistical method capable of integrating these surveys is necessary to assess patterns and relationships across regions. Here, we developed a hierarchical generalized linear mixed modeling approach to estimate the relationship between daily recreational fisheries catch and effort based on waterbody, socio-economic, and ecological covariates. We applied this approach to CreelCat data on lentic waterbodies and found that recreational fisheries catch and effort were non-linearly related (i.e., catch per unit of effort declined as effort increased), where effort varied regionally and by waterbody area, median county age, and distance to nearest primary road. This modeling approach could be used to inform data-poor regions or waterbodies, make comparisons across spatial scales, and, with the inclusion of socio-economic and ecological factors, inform management techniques in an era of shifting demographics and landscapes.
The deposits of the upper Neoproterozoic Zerrissene Group of central-western Namibia represent a large siliciclastic deep-water depositional system that showcases the intricacies of facies and architectural relationships from bed-scale to fan-system-scale. The lack of vegetation in the Namib Desert and regular east–west repetition of folded stratigraphy (reflecting ca 50% tectonic shortening) provides quasi-three-dimensional exposure over a current area of approximately 2700 square kilometres. The Brak River Formation, the middle sand-rich unit of the Zerrissene Group, consists of nearly 600 m of strata exposed in multiple parallel continuous outcrops up to ca 10 km in length and oriented obliquely to depositional dip. Ten stratigraphic sections are correlated ca 32 km (ca 64 km restored) across the basin and offer exposure comparable in scale to modern submarine fans. Six sedimentary facies are identified and grouped into four facies associations that represent axial-to-marginal portions of deep-water lobes in an unconfined submarine fan system. Spatial facies patterns, regional thickness variations, and palaeocurrents indicate that Brak River Formation sediments were transported primarily from the north to south–south-west through a trough-like basin, and deposited within an unconfined basin plain at the junction of the Adamastor and Khomas oceans. The unique outcrop exposure and extent permits the documentation of system-scale architecture and basin configuration of the Brak River submarine fan system. A transition from the sand-rich lower Brak River Formation to more intercalated mudstone-dominated intervals in the middle and upper Brak River Formation is interpreted to record a change from aggradational to compensational stacking of lobe deposits. This records the evolution of a large submarine fan as it filled the subtle seafloor topography and became less confined at the system-scale. The documentation of these deep-water deposits from centimetre-scale to basin-scale provides a new model for a system with extensive long-distance transport of sand-rich sediment gravity flows to submarine lobes without apparent channelization.
","language":"English","publisher":"Wiley","doi":"10.1111/sed.13129","usgsCitation":"Nieminski, N.M., McHargue, T., Gooley, J.T., Fildani, A., and Lowe, D.R., 2024, Spatial distribution and variability of lobe facies in a large sand-rich submarine fan system: Neoproterozoic Zerrissene Group, Namibia: Sedimentology, v. 71, no. 1, p. 81-115, https://doi.org/10.1111/sed.13129.","productDescription":"35 p.","startPage":"81","endPage":"115","ipdsId":"IP-134081","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":441232,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/sed.13129","text":"Publisher Index Page"},{"id":422228,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Nambia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 13.149641654100066,\n -20.46530656931472\n ],\n [\n 13.149641654100066,\n -22.12350444593342\n ],\n [\n 15.775374075974895,\n -22.12350444593342\n ],\n [\n 15.775374075974895,\n -20.46530656931472\n ],\n [\n 13.149641654100066,\n -20.46530656931472\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"71","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-10-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Nieminski, Nora Maria 0000-0002-4465-8731","orcid":"https://orcid.org/0000-0002-4465-8731","contributorId":279764,"corporation":false,"usgs":true,"family":"Nieminski","given":"Nora","email":"","middleInitial":"Maria","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":887111,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McHargue, Tim","contributorId":222430,"corporation":false,"usgs":false,"family":"McHargue","given":"Tim","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":887112,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gooley, Jared T. 0000-0001-5620-3702","orcid":"https://orcid.org/0000-0001-5620-3702","contributorId":248710,"corporation":false,"usgs":true,"family":"Gooley","given":"Jared","email":"","middleInitial":"T.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":887113,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fildani, Andrea","contributorId":204134,"corporation":false,"usgs":false,"family":"Fildani","given":"Andrea","email":"","affiliations":[{"id":36863,"text":"Statoil","active":true,"usgs":false}],"preferred":false,"id":887114,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lowe, Donald R","contributorId":331256,"corporation":false,"usgs":false,"family":"Lowe","given":"Donald","email":"","middleInitial":"R","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":887115,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70247516,"text":"70247516 - 2024 - Contribution of arsenic and uranium in private wells and community water systems to urinary biomarkers in US adults: The Strong Heart Study and the Multi-Ethnic Study of Atherosclerosis","interactions":[],"lastModifiedDate":"2024-03-11T14:25:09.814951","indexId":"70247516","displayToPublicDate":"2023-08-09T06:55:56","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2282,"text":"Journal of Exposure Science and Environmental Epidemiology","active":true,"publicationSubtype":{"id":10}},"title":"Contribution of arsenic and uranium in private wells and community water systems to urinary biomarkers in US adults: The Strong Heart Study and the Multi-Ethnic Study of Atherosclerosis","docAbstract":"Chronic exposure to inorganic arsenic (As) and uranium (U) in the United States (US) occurs from unregulated private wells and federally regulated community water systems (CWSs). The contribution of water to total exposure is assumed to be low when water As and U concentrations are low.
We examined the contribution of water As and U to urinary biomarkers in the Strong Heart Family Study (SHFS), a prospective study of American Indian communities, and the Multi-Ethnic Study of Atherosclerosis (MESA), a prospective study of racially/ethnically diverse urban U.S. communities.
We assigned residential zip code-level estimates in CWSs (µg/L) and private wells (90th percentile probability of As >10 µg/L) to up to 1485 and 6722 participants with dietary information and urinary biomarkers in the SHFS (2001–2003) and MESA (2000–2002; 2010–2011), respectively. Urine As was estimated as the sum of inorganic and methylated species, and urine U was total uranium. We used linear mixed-effects models to account for participant clustering and removed the effect of dietary sources via regression adjustment.
The median (interquartile range) urine As was 5.32 (3.29, 8.53) and 6.32 (3.34, 12.48) µg/L for SHFS and MESA, respectively, and urine U was 0.037 (0.014, 0.071) and 0.007 (0.003, 0.018) µg/L. In a meta-analysis across both studies, urine As was 11% (95% CI: 3, 20%) higher and urine U was 35% (5, 73%) higher per twofold higher CWS As and U, respectively. In the SHFS, zip-code level factors such as private well and CWS As contributed 46% of variation in urine As, while in MESA, zip-code level factors, e.g., CWS As and U, contribute 30 and 49% of variation in urine As and U, respectively.
We found that water from unregulated private wells and regulated CWSs is a major contributor to urinary As and U (an estimated measure of internal dose) in both rural, American Indian populations and urban, racially/ethnically diverse populations nationwide, even at levels below the current regulatory standard. Our findings indicate that additional drinking water interventions, regulations, and policies can have a major impact on reducing total exposures to As and U, which are linked to adverse health effects even at low levels.
","language":"English","publisher":"Nature","doi":"10.1038/s41370-023-00586-2","usgsCitation":"Spaur, M., Glabonjat, R.A., Schilling, K., Lombard, M.A., , G., Lieberman-Cribbin, W., Hayek, C., Ilievski, V., Balac, O., Izuchukwu, C., Patterson, K., Basu, A., Bostick, B., Chen, Q., Sanchez, T., Navas-Acien, A., and Nigra, A., 2024, Contribution of arsenic and uranium in private wells and community water systems to urinary biomarkers in US adults: The Strong Heart Study and the Multi-Ethnic Study of Atherosclerosis: Journal of Exposure Science and Environmental Epidemiology, v. 34, p. 77-89, https://doi.org/10.1038/s41370-023-00586-2.","productDescription":"13 p.","startPage":"77","endPage":"89","ipdsId":"IP-148895","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":441234,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41370-023-00586-2","text":"Publisher Index Page"},{"id":419695,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","noUsgsAuthors":false,"publicationDate":"2023-08-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Spaur, Maya","contributorId":257947,"corporation":false,"usgs":false,"family":"Spaur","given":"Maya","email":"","affiliations":[{"id":52179,"text":"Columbia University Mailman School of Public Health","active":true,"usgs":false}],"preferred":false,"id":879947,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glabonjat, Ronald A. 0000-0003-3104-1940","orcid":"https://orcid.org/0000-0003-3104-1940","contributorId":225202,"corporation":false,"usgs":false,"family":"Glabonjat","given":"Ronald","email":"","middleInitial":"A.","affiliations":[{"id":41074,"text":"Institute of Chemistry, NAWI Graz, University of Graz, Graz Austria","active":true,"usgs":false}],"preferred":false,"id":879948,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schilling, Kathrin","contributorId":318215,"corporation":false,"usgs":false,"family":"Schilling","given":"Kathrin","email":"","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":879949,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lombard, Melissa A. 0000-0001-5924-6556 mlombard@usgs.gov","orcid":"https://orcid.org/0000-0001-5924-6556","contributorId":198254,"corporation":false,"usgs":true,"family":"Lombard","given":"Melissa","email":"mlombard@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":879950,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":" Galvez-Fernandez","contributorId":318216,"corporation":false,"usgs":false,"given":"Galvez-Fernandez","email":"","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":879951,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lieberman-Cribbin, Wil","contributorId":318217,"corporation":false,"usgs":false,"family":"Lieberman-Cribbin","given":"Wil","email":"","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":879952,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hayek, Carolyn","contributorId":318218,"corporation":false,"usgs":false,"family":"Hayek","given":"Carolyn","email":"","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":879953,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ilievski, Vesna","contributorId":318219,"corporation":false,"usgs":false,"family":"Ilievski","given":"Vesna","email":"","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":879954,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Balac, Olgica","contributorId":318220,"corporation":false,"usgs":false,"family":"Balac","given":"Olgica","email":"","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":879955,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Izuchukwu, Chiugo","contributorId":318221,"corporation":false,"usgs":false,"family":"Izuchukwu","given":"Chiugo","email":"","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":879956,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Patterson, Kevin","contributorId":318222,"corporation":false,"usgs":false,"family":"Patterson","given":"Kevin","email":"","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":879957,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Basu, Anirban","contributorId":318223,"corporation":false,"usgs":false,"family":"Basu","given":"Anirban","email":"","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":879958,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Bostick, Benjamin","contributorId":257949,"corporation":false,"usgs":false,"family":"Bostick","given":"Benjamin","affiliations":[{"id":40291,"text":"Lamont-Doherty Earth Observatory of Columbia University","active":true,"usgs":false}],"preferred":false,"id":879959,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Chen, Qixuan","contributorId":318224,"corporation":false,"usgs":false,"family":"Chen","given":"Qixuan","email":"","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":879960,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Sanchez, Tiffany","contributorId":318225,"corporation":false,"usgs":false,"family":"Sanchez","given":"Tiffany","email":"","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":879961,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Navas-Acien, Ana","contributorId":257950,"corporation":false,"usgs":false,"family":"Navas-Acien","given":"Ana","email":"","affiliations":[{"id":52179,"text":"Columbia University Mailman School of Public Health","active":true,"usgs":false}],"preferred":false,"id":879962,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Nigra, Anne E","contributorId":257951,"corporation":false,"usgs":false,"family":"Nigra","given":"Anne E","affiliations":[{"id":52179,"text":"Columbia University Mailman School of Public Health","active":true,"usgs":false}],"preferred":false,"id":879963,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70247442,"text":"70247442 - 2024 - Low-complexity floodplain inundation model performs well for ecological and management applications in a large river ecosystem","interactions":[],"lastModifiedDate":"2024-02-26T15:33:19.341219","indexId":"70247442","displayToPublicDate":"2023-08-03T07:07:04","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Low-complexity floodplain inundation model performs well for ecological and management applications in a large river ecosystem","docAbstract":"Flooding is a dominant physical process that drives the form and function of river-floodplain ecosystems. Efficiently characterizing flooding dynamics can be challenging, especially over geographically broad areas or at spatial and temporal scales relevant for ecosystem management activities. Here, we empirically evaluated a low-complexity geospatial model of floodplain inundation in six study segments of the Upper Mississippi River System (UMRS) by pairing spatially extensive, temporally limited and spatially limited, temporally extensive sampling designs. We found little evidence of systematic bias in model performance although discrepancies between model predictions and empirical data did occur locally. Assessments of model predictions revealed low segment-wide discrepancies of wetted extent under contrasting flow conditions and agreement for inundation event detection and duration. Model performance for predicting event frequency and duration was similar among sites expected to exhibit contrasting patterns of hydrologic connectivity with the main channel. Our results suggest that low-complexity models can efficiently characterize a critical physical process across geographically broad, complex river-floodplain ecosystems. Such tools have the potential for advancing scientific understanding of landscape-scale ecological patterns and for prioritizing management actions in large, complex river-floodplain ecosystems like the UMRS.
The open data movement represents a major advancement for informed water management. Data that are findable, accessible, interoperable, and reusable—or FAIR—are now prerequisite to responsible data stewardship. In contrast to FAIR, accessibility and usability case studies and guidelines designed around human access and understanding are lacking in the literature, especially for water resources. Such decision support guidelines are critical because (i) inherent visual design trade-offs are not best made using intuition or feedback (perceived preference), and (ii) choosing designs requires a nuanced understanding of why and how the design works (revealed effectiveness). Thus, the goal of this commentary is to highlight knowledge gaps and discuss a general usability testing method which can be applied to any water resources decision support product. The user-testing approach includes (i) interviews about visualization goals, audiences, and the uses and decisions made with the data products, (ii) diagnosis of usability challenges, and (iii) redesign of decision support products given best practices and control versus treatment with intended end-user audiences. We illustrate the method using high-profile U.S. Geological Survey water science products. In sum, optimizing and testing for usability and understandability are as central to stakeholder use as FAIR standards are, and warrant being part of the development of data products and geovisualizations.