Artificial manipulation of lake water levels through practices like winter water-level drawdown (WD) is prevalent across many regions, but the spatiotemporal patterns are not well documented due to limited in situ monitoring. Multi-sensor satellite remote sensing provides an opportunity to map and analyze drawdown frequency and metrics (timing, magnitude, duration) at broad scales. This study developed a cloud computing framework to process time series of synthetic aperture radar (Sentinel 1-SAR) and optical sensor (Landsat 8, Sentinel 2) data to characterize WD in 166 lakes across Massachusetts, USA, during 2016–2021. Comparisons with in situ logger data showed that the Sentinel 1-derived surface water area captured relative water-level fluctuations indicative of WD. A machine learning approach classified lakes as WD versus non-WD based on seasonal water-level fluctuations derived from Sentinel 1-SAR data. The framework mapped WD lakes statewide, revealing prevalence throughout Massachusetts with interannual variability. Results showed WDs occurred in over 75% of lakes during the study period, with high interannual variability in the number of lakes conducting WD. Mean WD magnitude was highest in the wettest year (2018) but % lake area exposure did not show any association with precipitation and varied between 8% to 12% over the 5-year period. WD start date was later and duration was longer in wet years, indicating climate mediation of WD implementation driven by management decisions. The data and tools developed provide an objective information resource to evaluate ecological impacts and guide management of this prevalent but understudied phenomenon. Overall, the results and interactive web tool developed as part of this study provide new hydrologic intelligence to inform water management and policies related to WD practices.
","language":"English","publisher":"MDPI","doi":"10.3390/rs16060947","usgsCitation":"Kumar, A., Roy, A.H., Andreadis, K., He, X., and Butler, C., 2024, A multi-sensor approach to characterize winter water-level drawdown patterns in lakes: Remote Sensing, v. 16, no. 6, 947, 23 p., https://doi.org/10.3390/rs16060947.","productDescription":"947, 23 p.","ipdsId":"IP-159744","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":440171,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs16060947","text":"Publisher Index Page"},{"id":433622,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"16","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-03-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Kumar, Abhishek","contributorId":342795,"corporation":false,"usgs":false,"family":"Kumar","given":"Abhishek","email":"","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":912753,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":910548,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andreadis, Konstantinos","contributorId":258831,"corporation":false,"usgs":false,"family":"Andreadis","given":"Konstantinos","affiliations":[{"id":52307,"text":"Department of Civil and Environmental Engineering, University of Massachusetts Amherst, Amherst, Massachusetts, USA","active":true,"usgs":false}],"preferred":false,"id":912754,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"He, Xinchen","contributorId":316775,"corporation":false,"usgs":false,"family":"He","given":"Xinchen","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":912755,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Butler, Caitlyn","contributorId":316779,"corporation":false,"usgs":false,"family":"Butler","given":"Caitlyn","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":912756,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70252560,"text":"70252560 - 2024 - A gender and social vulnerability assessment approach","interactions":[],"lastModifiedDate":"2024-03-28T12:19:58.917866","indexId":"70252560","displayToPublicDate":"2024-03-08T07:16:57","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"A gender and social vulnerability assessment approach","docAbstract":"The report on an approach for gender and social vulnerability assessment is a supporting tool – or a guiding note – to assist the MRC to conduct the gender and vulnerability assessment in the Lower Mekong Basin. While the approach focuses on floods, droughts, and extreme storm events for the MRC’s future application, the overall gender and vulnerability framework described in this report could be applied to water resource development in the Mekong. It describes the steps for calculating exposure, sensitivity, and adaptive capacity components to determine an overall vulnerability score at the province level for each of the Mekong countries, which will shed light on possible strategies and measures to reduce vulnerability and achieve greater gender equality.
","language":"English","publisher":"Mekong River Commission","doi":"10.52107/mrc.bjk3zl","collaboration":"Mekong River Commission Secretariat","usgsCitation":"Haider, S., Powlen, K., Burkardt, N., and Andersen, M.E., 2024, A gender and social vulnerability assessment approach, v, 41 p., https://doi.org/10.52107/mrc.bjk3zl.","productDescription":"v, 41 p.","ipdsId":"IP-149526","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":440173,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.52107/mrc.bjk3zl","text":"Publisher Index Page"},{"id":427209,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Lower Mekong Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 100.58688904847878,\n 24.92583409827084\n ],\n [\n 100.58688904847878,\n 7.7975752429182705\n ],\n [\n 111.48532654847793,\n 7.7975752429182705\n ],\n [\n 111.48532654847793,\n 24.92583409827084\n ],\n [\n 100.58688904847878,\n 24.92583409827084\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2024-03-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Haider, Saira 0000-0001-9306-3454","orcid":"https://orcid.org/0000-0001-9306-3454","contributorId":216195,"corporation":false,"usgs":true,"family":"Haider","given":"Saira","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":897567,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powlen, Kathryn 0000-0002-9685-0063","orcid":"https://orcid.org/0000-0002-9685-0063","contributorId":328833,"corporation":false,"usgs":true,"family":"Powlen","given":"Kathryn","email":"","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":897568,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burkardt, Nina 0000-0002-9392-9251 burkardtn@usgs.gov","orcid":"https://orcid.org/0000-0002-9392-9251","contributorId":2781,"corporation":false,"usgs":true,"family":"Burkardt","given":"Nina","email":"burkardtn@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":897569,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Andersen, Matthew E. 0000-0003-4115-5028 mandersen@usgs.gov","orcid":"https://orcid.org/0000-0003-4115-5028","contributorId":3190,"corporation":false,"usgs":true,"family":"Andersen","given":"Matthew","email":"mandersen@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":897570,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70252155,"text":"70252155 - 2024 - Consumer isoscapes reveal heterogeneous food webs in deep-sea submarine canyons and adjacent slopes","interactions":[],"lastModifiedDate":"2024-03-18T11:25:11.107194","indexId":"70252155","displayToPublicDate":"2024-03-08T06:23:16","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3194,"text":"Progress in Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Consumer isoscapes reveal heterogeneous food webs in deep-sea submarine canyons and adjacent slopes","docAbstract":"The deep sea is the largest biome on earth, but one of the least studied despite its critical role in global carbon cycling and climate buffering. Deep-sea organisms largely rely on particulate organic matter from the surface ocean for energy – these organisms in turn play critical roles in energy transport, transformation, storage, and sequestration of carbon. Within the deep sea, submarine canyons are amongst the most complex and dynamic environments in our oceans, where varied morphology, powerful currents, and variable nutrient conditions influence the distribution of species and transport of organic material throughout the water column and the seafloor. Significant habitat heterogeneity provides ideal substrates for cold-water corals, making submarine canyons of interest to conservation and management. However, how these and other topographic features in the deep ocean influence energy flow and trophic pathways is poorly known. Thus, submarine canyons serve as model systems to track variability in organic material flux and consequential utilization and assimilation by the benthos. In this study, we used an extensive stable isotope dataset to examine food-web structure in Baltimore and Norfolk submarine canyons and compared them to their adjacent slopes located along the U.S. Atlantic margin. Linear models were used to construct geospatially-explicit consumer isoscapes that predicted variation in carbon and nitrogen isotopes across the canyon-slope seascape, providing a predictive map from which to test hypotheses on the distribution and flow of energy resources, relevant to understanding whole community function. Communities were composed of isotopically diverse feeding groups with photosynthetically-derived organic carbon providing the basal food resource. Canyon communities were distinct from the slope, with canyon consumers significantly 13C-depleted, indicating a greater supply and/or utilization of fresh organic matter compared to the slope. Isoscapes for benthic and suspension feeders were distinct, possibly due to the consumption of different quality organic matter sources (fresh = suspension feeders, old = benthic feeders), each with distinct isotope composition. To our knowledge, our modeled isoscapes represent the first spatially extensive isotopic maps of deep-sea consumers, providing insights into regional-scale variation in stable carbon and nitrogen isotopes for different consumer groups. They provide a baseline for tracking climate-change induced fluctuations in the quality and availability of surface primary production and the consequential impact to benthic communities, which play critical roles in carbon cycling in our world’s oceans.
Redox conditions in groundwater may markedly affect the fate and transport of nutrients, volatile organic compounds, and trace metals, with significant implications for human health. While many local assessments of redox conditions have been made, the spatial variability of redox reaction rates makes the determination of redox conditions at regional or national scales problematic. In this study, redox conditions in groundwater were predicted for the contiguous United States using random forest classification by relating measured water quality data from over 30,000 wells to natural and anthropogenic factors. The model correctly predicted the oxic/suboxic classification for 78 and 79% of the samples in the out-of-bag and hold-out data sets, respectively. Variables describing geology, hydrology, soil properties, and hydrologic position were among the most important factors affecting the likelihood of oxic conditions in groundwater. Important model variables tended to relate to aquifer recharge, groundwater travel time, or prevalence of electron donors, which are key drivers of redox conditions in groundwater. Partial dependence plots suggested that the likelihood of oxic conditions in groundwater decreased sharply as streams were approached and gradually as the depth below the water table increased. The probability of oxic groundwater increased as base flow index values increased, likely due to the prevalence of well-drained soils and geologic materials in high base flow index areas. The likelihood of oxic conditions increased as topographic wetness index (TWI) values decreased. High topographic wetness index values occur in areas with a propensity for standing water and overland flow, conditions that limit the delivery of dissolved oxygen to groundwater by recharge; higher TWI values also tend to occur in discharge areas, which may contain groundwater with long travel times. A second model was developed to predict the probability of elevated manganese (Mn) concentrations in groundwater (i.e., ≥50 μg/L). The Mn model relied on many of the same variables as the oxic/suboxic model and may be used to identify areas where Mn-reducing conditions occur and where there is an increased risk to domestic water supplies due to high Mn concentrations. Model predictions of redox conditions in groundwater produced in this study may help identify regions of the country with elevated groundwater vulnerability and stream vulnerability to groundwater-derived contaminants.
","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.3c07576","usgsCitation":"Tesoriero, A.J., Wherry, S., Dupuy, D., and Johnson, T., 2024, Predicting redox conditions in groundwater at a national scale using random forest classification: Environmental Science and Technology, v. 58, no. 11, p. 5079-5092, https://doi.org/10.1021/acs.est.3c07576.","productDescription":"14 p.","startPage":"5079","endPage":"5092","ipdsId":"IP-154897","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":440191,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.3c07576","text":"Publisher Index Page"},{"id":435024,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DVPJIX","text":"USGS data release","linkHelpText":"Input and results from a random forest 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]\n}","volume":"58","issue":"11","noUsgsAuthors":false,"publicationDate":"2024-03-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Tesoriero, Anthony J. 0000-0003-4674-7364 tesorier@usgs.gov","orcid":"https://orcid.org/0000-0003-4674-7364","contributorId":2693,"corporation":false,"usgs":true,"family":"Tesoriero","given":"Anthony","email":"tesorier@usgs.gov","middleInitial":"J.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":896391,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wherry, Susan 0000-0002-6749-8697 swherry@usgs.gov","orcid":"https://orcid.org/0000-0002-6749-8697","contributorId":140159,"corporation":false,"usgs":true,"family":"Wherry","given":"Susan","email":"swherry@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":896392,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dupuy, Danielle 0000-0001-9007-641X","orcid":"https://orcid.org/0000-0001-9007-641X","contributorId":222277,"corporation":false,"usgs":true,"family":"Dupuy","given":"Danielle","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":896393,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Tyler D. 0000-0002-7334-9188","orcid":"https://orcid.org/0000-0002-7334-9188","contributorId":201888,"corporation":false,"usgs":true,"family":"Johnson","given":"Tyler D.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":896394,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70254184,"text":"70254184 - 2024 - Modeled coastal-ocean pathways of land-sourced contaminants in the aftermath of Hurricane Florence","interactions":[],"lastModifiedDate":"2024-05-13T11:57:09.891301","indexId":"70254184","displayToPublicDate":"2024-03-07T06:53:04","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2321,"text":"Journal of Geophysical Research: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Modeled coastal-ocean pathways of land-sourced contaminants in the aftermath of Hurricane Florence","docAbstract":"Extreme precipitation during Hurricane Florence, which made landfall in North Carolina in September 2018, led to breaches of hog waste lagoons, coal ash pits, and wastewater facilities. In the weeks following the storm, freshwater discharge carried pollutants, sediment, organic matter, and debris to the coastal ocean, contributing to beach closures, algae blooms, hypoxia, and other ecosystem impacts. Here, the ocean pathways of land-sourced contaminants following Hurricane Florence are investigated using the Regional Ocean Modeling System (ROMS) with a river point source with fixed water properties from a hydrologic model (WRF-Hydro) of the Cape Fear River Basin, North Carolina's largest watershed. Patterns of contaminant transport in the coastal ocean are quantified with a finite duration tracer release based on observed flooding of agricultural and industrial facilities. A suite of synthetic events also was simulated to investigate the sensitivity of the river plume transport pathways to river discharge and wind direction. The simulated Hurricane Florence discharge event led to westward (downcoast) transport of contaminants in a coastal current, along with intermittent storage and release of material in an offshore (bulge) or eastward (upcoast) region near the river mouth, modulated by alternating upwelling and downwelling winds. The river plume patterns led to a delayed onset and long duration of contaminants affecting beaches 100 km to the west, days to weeks after the storm. Maps of the onset and duration of hypothetical water quality hazards for a range of weather conditions may provide guidance to managers on the timing of swimming/shellfishing advisories and water quality sampling.
Oyster reefs across North America have declined precipitously over the past 140 years. In Washington State, Olympia oyster Ostrea lurida reefs historically provided water filtration and nearshore structural habitat for fishes and invertebrates, but this species is now functionally extinct across its historical range. In place of these naturally occurring reefs, shellfish farms consisting mainly of nonnative Pacific oysters Magallana gigas now occupy patches of nearshore habitat across Washington. These farms modify intertidal substrate by adding structural habitat via suspended oyster grow bags, predator exclusion nets, loose oyster beds, and other shellfish grow-out gear. As interest and investment in shellfish aquaculture have expanded both locally and globally, so has interest in how these farms modify intertidal habitat and whether the complex structure created by the shellfish and shellfish growing gear provides ecosystem services that are comparable to those of unfarmed areas, such as mudflats and eelgrass meadows.
In this study, we sought to quantify how shellfish farms are used as foraging habitat for several common nearshore species of fish and crabs in Puget Sound, Washington. We used direct observations of species-specific behaviors from underwater video to model how habitat type affected observed foraging rates.
We obtained a total of 393 crab observations, 431 demersal fish observations, and 1856 pelagic fish observations across all seven farm sites. Several common species of pelagic fish (e.g., surfperch [Embiotocidae]) used aquaculture-growing gear more frequently than unfarmed areas as foraging habitat, but Metacarcinus spp. crabs displayed higher foraging frequency in unfarmed mudflats. Species groups such as sculpins (Cottidae) and small flatfish (Pleuronectidae) clearly used specific aquaculture-growing gear and mudflats in roughly equal proportion.
Our results indicate that shellfish farms within a larger nearshore habitat mosaic of eelgrass meadows, mudflats, bivalve aquaculture gear, and edge habitat can provide foraging habitat for several species of nearshore fish.
","language":"English","publisher":"American Fisheries Society","doi":"10.1002/mcf2.10282","usgsCitation":"Veggerby, K., Scheuerell, M.D., Sanderson, B., Kiffney, P., and Ferriss, B., 2024, Shellfish aquaculture farms as foraging habitat for nearshore fishes and crabs: Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, v. 16, no. 2, e10282, 14 p., https://doi.org/10.1002/mcf2.10282.","productDescription":"e10282, 14 p.","ipdsId":"IP-158997","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":440203,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/mcf2.10282","text":"Publisher Index Page"},{"id":430280,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.227401475166,\n 48.993797248377604\n ],\n [\n -123.17273320541344,\n 48.993797248377604\n ],\n [\n -123.17273320541344,\n 46.919549204528664\n ],\n [\n -122.227401475166,\n 46.919549204528664\n ],\n [\n -122.227401475166,\n 48.993797248377604\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-03-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Veggerby, Karl","contributorId":338024,"corporation":false,"usgs":false,"family":"Veggerby","given":"Karl","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":903251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scheuerell, Mark David 0000-0002-8284-1254","orcid":"https://orcid.org/0000-0002-8284-1254","contributorId":288621,"corporation":false,"usgs":true,"family":"Scheuerell","given":"Mark","email":"","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sanderson, Beth","contributorId":338027,"corporation":false,"usgs":false,"family":"Sanderson","given":"Beth","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":903253,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kiffney, Peter","contributorId":242881,"corporation":false,"usgs":false,"family":"Kiffney","given":"Peter","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":903254,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ferriss, Bridget","contributorId":338414,"corporation":false,"usgs":false,"family":"Ferriss","given":"Bridget","email":"","affiliations":[{"id":53980,"text":"NMFS","active":true,"usgs":false}],"preferred":false,"id":903255,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70251869,"text":"ofr20231086 - 2024 - Knowledge gaps and opportunities for understanding water-quality processes affecting water availability for beneficial uses","interactions":[],"lastModifiedDate":"2026-01-28T17:40:57.856654","indexId":"ofr20231086","displayToPublicDate":"2024-03-05T08:09:41","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-1086","displayTitle":"Knowledge Gaps and Opportunities for Understanding Water-Quality Processes Affecting Water Availability for Beneficial Uses","title":"Knowledge gaps and opportunities for understanding water-quality processes affecting water availability for beneficial uses","docAbstract":"This report describes scientific gaps that limit our ability to predict water-quality effects on water availability for beneficial uses across the United States. Water-quality constituents considered in the report include salinity, geogenic constituents, contaminants of emerging concern, and nitrogen. For each constituent, there is a selection of scientific gaps, approaches, and outcomes to help guide portions of the U.S. Geological Survey Water Mission Area (https://www.usgs.gov/mission-areas/water-resources) research portfolio and other national research efforts. Although the report is not comprehensive, and new issues are likely to emerge, it does provide an assessment of many of the major challenges and opportunities concerning water-quality effects on water availability for beneficial uses. Due to the changing nature of water-quality concerns, and to deal with issues not described in this report, it will be important to maintain broad-based expertise and flexibility to address the full spectrum of long-term water-quality issues facing the Nation’s water resources.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231086","usgsCitation":"Tesoriero, A.J., Erickson, M.L., Conaway, C.H., Tomaszewski, E.J., and Green, C.T., eds., 2024, Knowledge gaps and opportunities for understanding water-quality processes affecting water availability for beneficial uses: U.S. Geological Survey Open-File Report 2023–1086, 81 p., https://doi.org/10.3133/ofr20231086.","productDescription":"Report: xi, 81 p., 5 Chapters","numberOfPages":"81","onlineOnly":"Y","ipdsId":"IP-148986","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":499194,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116146.htm","linkFileType":{"id":5,"text":"html"}},{"id":426322,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20231085","text":"Open-File Report 2023-1085","description":"Harvey, J.W., Conaway, C.H., Dornblaser, M., Gellis, A., Stewart, A.R., and Green, C.T., eds., 2024, Knowledge Gaps and Opportunities in Water-Quality Drivers of Aquatic Ecosystem Health: U.S. Geological Survey Open-File Report 2023–1085, 72 p., https://doi.org/10.3133/ofr202231085.","linkHelpText":"- Knowledge Gaps and Opportunities in Water-Quality Drivers of Aquatic Ecosystem Health"},{"id":426294,"rank":7,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/of/2023/1086/ofr20231086e.pdf","text":"Chapter E","size":"600 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Improving Predictions of Nitrogen Effects on Beneficial Uses of Water"},{"id":426293,"rank":6,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/of/2023/1086/ofr20231086d.pdf","text":"Chapter D","size":"700 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- The Influence of Contaminants of Emerging Concern on Beneficial Uses of Water"},{"id":426289,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1086/ofr20231086.pdf","text":"Full Report","size":"12 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":426288,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1086/covrthb.jpg"},{"id":426292,"rank":5,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/of/2023/1086/ofr20231086c.pdf","text":"Chapter C","size":"1 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Geogenic Water-Quality Effects on Beneficial Uses of Water"},{"id":426290,"rank":3,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/of/2023/1086/ofr20231086a.pdf","text":"Chapter A","size":"8 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Introduction to Water-Quality Limitations on Beneficial Uses of Water"},{"id":426291,"rank":4,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/of/2023/1086/ofr20231086b.pdf","text":"Chapter B","size":"2 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Addressing Salinity Challenges to the Beneficial Uses of Water"}],"contact":"Water Resources Mission Area
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192
This report identifies key scientific gaps that limit our ability to predict water quality effects on health of aquatic ecosystems and proposes approaches to address those gaps. Topics considered include (1) coupled nutrient-carbon cycle processes and related ecological-flow-regime drivers of ecosystem health, (2) anthropogenic and geogenic toxin bioexposure, (3) fine sediment drivers of aquatic ecosystem health, and (4) freshwater salinization. Each topic is addressed in terms of scientific gaps, approaches, and timelines to help guide portions of the U.S. Geological Survey Water Mission Area (https://www.usgs.gov/mission-areas/water-resources) research portfolio and other national research efforts. The report provides an assessment of several of the major challenges and opportunities concerning water quality impacts on aquatic ecosystem health. It will be important to maintain broad-based expertise and flexibility to address the full range of long-term water quality issues facing the Nation’s water resources.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231085","usgsCitation":"Harvey, J.W., Conaway, C.H., Dornblaser, M., Gellis, A., Stewart, A.R., and Green, C.T., eds., 2024, Knowledge Gaps and Opportunities in Water-Quality Drivers of Aquatic Ecosystem Health: U.S. Geological Survey Open-File Report 2023–1085, 72 p., https://doi.org/10.3133/ofr20231085.","productDescription":"Report: xi, 72 p., 5 Chapters","numberOfPages":"72","onlineOnly":"Y","ipdsId":"IP-149046","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":499193,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116145.htm","linkFileType":{"id":5,"text":"html"}},{"id":426323,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20231086","text":"Open-File Report 2023-1086","description":"Tesoriero, A.J., Erickson, M.L., Conaway, C.H., Tomaszewski, E.J., and Green, C.T., eds., 2024, Knowledge gaps and opportunities for understanding water-quality processes affecting water availability for beneficial uses: U.S. Geological Survey Open-File Report 2023–1086, 81 p., https://doi.org/10.3133/ofr20231086.","linkHelpText":"- Knowledge Gaps and Opportunities for Understanding Water-Quality Processes Affecting Water Availability for Beneficial Uses"},{"id":426271,"rank":5,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/of/2023/1085/ofr20231085c.pdf","text":"Chapter C","size":"1.3 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Anthropogenic and Geogenic Contaminant Bioexposures Affecting Aquatic Ecosystems"},{"id":426270,"rank":4,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/of/2023/1085/ofr20231085b.pdf","text":"Chapter B","size":"1 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Coupled Nutrient-Carbon Cycle Processes and Related Ecological-Flow Drivers of Aquatic Health"},{"id":426267,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1085/covrthb.jpg"},{"id":426269,"rank":3,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/of/2023/1085/ofr20231085a.pdf","text":"Chapter A","size":"1.7 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Framework for a Gap Analysis of Aquatic Ecosystem Health"},{"id":426268,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1085/ofr20231085.pdf","text":"Full Report","size":"7 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":426272,"rank":6,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/of/2023/1085/ofr20231085d.pdf","text":"Chapter D","size":"1.6 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Fine Sediment Drivers of Aquatic Ecosystem Health"},{"id":426273,"rank":7,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/of/2023/1085/ofr20231085e.pdf","text":"Chapter E","size":"2 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Freshwater Salinization—An Expanding Impairment of Aquatic Ecosystem Health"}],"contact":"Water Resources Mission Area
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192
South Fork Quantico Creek (SFQ; 19.8 square kilometre (km2), forested) and Fourmile Run (4MR; 32.4-km2, urban) are small watersheds in northern Virginia, United States. Precipitation and streamflow data for both watersheds were examined from water year (WY) 1952 through 2022. Temporal changes in hydrologic metrics were identified by calculating trends in annual precipitation, annual peak flow, mean daily flow, minimum daily flow, stream flashiness, and the runoff ratio. The impact of climate and urbanization on watershed hydrology was assessed by computing trends on both raw and precipitation-adjusted data. Despite increasing precipitation in both watersheds, increasing monotonic trends in most hydrologic metrics were observed only in 4MR. At 4MR, the long-term trend in annual peak flow was non-linear, thus trends were calculated on separate periods. Annual peak flow increased from WY 1952 through 1968, coinciding with a period of rapid urbanization. During WY 1969 through 1981, annual peak flows decreased, coinciding with construction of a flood channelization project. Trends for both periods were robust to precipitation adjustment. From WY 1982 through 2022, no change in the precipitation-adjusted annual peak flows occurred, suggesting annual peak flows increased due to climate factors during this period. Comparison of area-normalized hydrologic metrics between the two watersheds revealed higher flows in 4MR than SFQ across all flows, not just high flows. Runoff ratio and stream flashiness also were higher in 4MR. Differences in hydrologic metrics between the two watersheds were driven primarily by differences in land use, land cover, and modifications to the water balance related to urbanization. Climate change has altered watershed hydrology at both sites, but extensive urbanization in 4MR has altered the hydrology more than that of SFQ. We conclude that urban watersheds are likely at greater risk of increased flooding than less developed areas as the climate intensifies.
Rising water temperatures in rivers due to climate change are already having observable impacts on river ecosystems. Warming water has both direct and indirect impacts on aquatic life, and further aggravates pervasive issues such as eutrophication, pollution, and the spread of disease. Animals can survive higher temperatures through physiological and/or genetic acclimation, behavioral and phenological change, and range shifts to more suitable locations. As such, those animals that are adapted to cool-water regions typically found in high altitudes and latitudes where there are fewer dispersal opportunities are most at risk of future extinction. However, sub-lethal impacts on animal physiology and phenology, body-size, and trophic interactions could have significant population-level effects elsewhere. Rivers are vulnerable to warming because historic management has typically left them exposed to solar radiation through the removal of riparian shade, and hydrologically disconnected longitudinally, laterally, and vertically. The resilience of riverine ecosystems is also limited by anthropogenic simplification of habitats, with implications for the dispersal and resource use of resident organisms. Due to the complex indirect impacts of warming on ecosystems, and the species-specific physiological and behavioral response of organisms to warming, predicting how river ecosystems will change in the future is challenging. Restoring rivers to provide connectivity and heterogeneity of conditions would provide resilience to a range of expected co-occurring pressures, including warming, and should be considered a priority as part of global strategies for climate adaptation and mitigation.
","language":"English","publisher":"Wiley","doi":"10.1002/wat2.1724","usgsCitation":"Johnson, M.F., Albertson, L.K., Algar, A.C., Dugdale, S.J., Edwards, P., England, J., Gibbins, C., Kazama, S., Komori, D., Maccoll, A., Scholl, E.A., Wilby, R., de Oliveira Roque, F., and Wood, P., 2024, Rising water temperature in rivers: Ecological impacts and future resilience: WIREs Water, v. 11, no. 4, e1724, 26 p., https://doi.org/10.1002/wat2.1724.","productDescription":"e1724, 26 p.","ipdsId":"IP-151079","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":440222,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wat2.1724","text":"Publisher Index Page"},{"id":426633,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-03-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Matthew F. mjjohnson@usgs.gov","contributorId":334825,"corporation":false,"usgs":false,"family":"Johnson","given":"Matthew","email":"mjjohnson@usgs.gov","middleInitial":"F.","affiliations":[{"id":80261,"text":"School of Geography, University of Nottingham, NG7 2RD, UK","active":true,"usgs":false}],"preferred":false,"id":896620,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Albertson, Lindsey K.","contributorId":218803,"corporation":false,"usgs":false,"family":"Albertson","given":"Lindsey","email":"","middleInitial":"K.","affiliations":[{"id":39916,"text":"Montana State University, Bozeman, Montana","active":true,"usgs":false}],"preferred":false,"id":896621,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Algar, Adam C.","contributorId":334826,"corporation":false,"usgs":false,"family":"Algar","given":"Adam","email":"","middleInitial":"C.","affiliations":[{"id":80264,"text":"Department of Biology, Lakehead University, Canada.","active":true,"usgs":false}],"preferred":false,"id":896622,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dugdale, Stephen J.","contributorId":269592,"corporation":false,"usgs":false,"family":"Dugdale","given":"Stephen","email":"","middleInitial":"J.","affiliations":[{"id":56000,"text":"School of Geography, University of Nottingham, University Park, Nottingham, NG7 2RD, UK","active":true,"usgs":false}],"preferred":false,"id":896623,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Edwards, Patrick","contributorId":248560,"corporation":false,"usgs":false,"family":"Edwards","given":"Patrick","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":896624,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"England, Judy","contributorId":334827,"corporation":false,"usgs":false,"family":"England","given":"Judy","email":"","affiliations":[{"id":80265,"text":"Environment Agency, UK","active":true,"usgs":false}],"preferred":false,"id":896625,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gibbins, Christopher","contributorId":334828,"corporation":false,"usgs":false,"family":"Gibbins","given":"Christopher","email":"","affiliations":[{"id":80266,"text":"School of Environmental and Geographical Sciences, University of Nottingham, Malaysia.","active":true,"usgs":false}],"preferred":false,"id":896626,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kazama, So","contributorId":334829,"corporation":false,"usgs":false,"family":"Kazama","given":"So","email":"","affiliations":[{"id":80267,"text":"Department of Civil Engineering, Tohoku University, Japan","active":true,"usgs":false}],"preferred":false,"id":896627,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Komori, Daisuke","contributorId":334830,"corporation":false,"usgs":false,"family":"Komori","given":"Daisuke","email":"","affiliations":[{"id":80267,"text":"Department of Civil Engineering, Tohoku University, Japan","active":true,"usgs":false}],"preferred":false,"id":896628,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Maccoll, Andrew","contributorId":334831,"corporation":false,"usgs":false,"family":"Maccoll","given":"Andrew","email":"","affiliations":[{"id":80268,"text":"School of Life Sciences, University of Nottingham, UK","active":true,"usgs":false}],"preferred":false,"id":896629,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Scholl, Eric Arthur 0000-0003-3028-9979","orcid":"https://orcid.org/0000-0003-3028-9979","contributorId":329480,"corporation":false,"usgs":true,"family":"Scholl","given":"Eric","email":"","middleInitial":"Arthur","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":896630,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Wilby, Robert","contributorId":334832,"corporation":false,"usgs":false,"family":"Wilby","given":"Robert","affiliations":[{"id":80269,"text":"Department of Geography and Environment, Loughborough University, UK","active":true,"usgs":false}],"preferred":false,"id":896631,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"de Oliveira Roque, Fabio","contributorId":334833,"corporation":false,"usgs":false,"family":"de Oliveira Roque","given":"Fabio","email":"","affiliations":[{"id":80270,"text":"Universidade Estadual do Mato Grosso do Sul, Campo Grande, Brazil; Centre for Tropical Environmental and Sustainability Science (TESS) and College of Science and Engineering, James Cook University, Cairns, QLD 4878, Australia","active":true,"usgs":false}],"preferred":false,"id":896632,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Wood, Paul F.","contributorId":203707,"corporation":false,"usgs":false,"family":"Wood","given":"Paul F.","affiliations":[],"preferred":false,"id":896633,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70251901,"text":"70251901 - 2024 - Potential use of poultry farms by wild waterfowl in California's Central Valley varies across space, times of day, and species: implications for influenza transmission risk","interactions":[],"lastModifiedDate":"2024-10-23T15:51:57.505662","indexId":"70251901","displayToPublicDate":"2024-03-05T06:42:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Potential use of poultry farms by wild waterfowl in California's Central Valley varies across space, times of day, and species: implications for influenza transmission risk","docAbstract":"Interactions between wildlife and livestock can lead to cross-species disease transmission, which incurs economic costs and threatens wildlife conservation. Wild waterfowl are natural hosts of avian influenza viruses (AIVs), are often abundant near poultry farms, and have been linked to outbreaks of AIVs in poultry. Interspecific and seasonal variation in waterfowl movement and habitat use means that the risk of disease transmission between wild birds and poultry inevitably varies across species, space, and time. Here, we used GPS telemetry data from 10 waterfowl species in and near California's Central Valley, a region where both wild waterfowl and domestic poultry are abundant, to study selection of poultry farms by waterfowl across diel, seasonal, and annual cycles. We found that waterfowl selected for wetlands, open water, protected areas, and croplands, which meant that they generally avoided habitats that were likely to be used for poultry farming. These selection patterns were linked to species' ecology and diel behavioral patterns, such that avoidance of poultry habitats was stronger for local or partial migrants than for long-distance migrants, and stronger during daytime than at night. We then combined these habitat selection results with data on poultry farm locations to map risk of waterfowl–poultry contact across the Central Valley. Average selection strength at poultry farms was low, suggesting that current placement of poultry farms is generally effective for limiting risk of contact with wild birds. When we combined these habitat selection results with data on species' abundances and AIV infection prevalence, we found dramatic variation in potential AIV transmission risk among species. These results could be used to prioritize surveillance and biosecurity efforts for regions and times of relatively high risk. More generally, these results highlight that fine-scale movement data can help identify interspecific, seasonal, and diel patterns in animal behaviors that affect wildlife and poultry health.
Preferential groundwater discharge features along stream corridors are ecologically important at local and stream network scales, yet we lack quantification of the multiscale controls on the spatial patterning of groundwater discharge. Here we identify physical attributes that best explain variation in the presence and lateral extent of preferential groundwater discharges along two 5th order streams, the Housatonic and Farmington Rivers, and 32 1st to 4th order reaches across the Farmington River network. We mapped locations of preferential groundwater discharge exposed along streambanks using handheld thermal infrared cameras paired with high-resolution topographic and land use land cover datasets, surficial soil characteristic maps, and depth-to-bedrock geophysical measurements. The unconfined Housatonic River, MA, USA (12 km) had fewer discharge locations and less lateral extent (41 discharge locations with 38 m of active discharge/km of river) compared to the partially confined Farmington River, CT, USA (26 km; 169 discharge locations with 129 m of active discharge/km of river). Using a moving window analysis, we found along both rivers that discharge was more likely to occur where bank slopes were steeper, floodplain extent was narrower, and degree of confinement was higher. Along the Farmington River, groundwater discharge was more likely to occur where saturated hydraulic conductivity was higher and depth-to-bedrock was shallower. Among the 32 stream reaches surveyed (33.2 km of total stream length) within the Farmington River watershed, preferential discharge was observed in all but two stream reaches, varied from 0 to 25% of lateral extent along stream banks (mean = 6%), and was more likely to occur where stream reach slopes were steep, saturated hydraulic conductivity was high, and watershed urbanization was low. Our results show that, though both surface (e.g., topographic, land use land cover) and subsurface (e.g., soil characteristics, bedrock depth) factors control the prevalence of streambank preferential groundwater discharge, the dominant controls vary across valley settings and stream sizes.
Naegleria fowleri has been detected in drinking water distribution systems (DWDS) in Australia, Pakistan and the United States and is the causative agent of the highly fatal disease primary amoebic meningoencephalitis. Previous small scale field studies have shown that Meiothermus may be a potential biomarker for N. fowleri. However, correlations between predictive biomarkers in small sample sizes often breakdown when applied to larger more representative datasets. This study represents one of the largest and most rigorous temporal investigations of Naegleria fowleri colonisation in an operational DWDS in the world and measured the association of Meiothermus and N. fowleri over a significantly larger space and time in the DWDS. A total of 232 samples were collected from five sites over three-years (2016-2018), which contained 29 positive N. fowleri samples. Two specific operational taxonomic units assigned to M. chliarophilus and M. hypogaeus, were significantly associated with N. fowleri presence. Furthermore, inoculation experiments demonstrated that Meiothermus was required to support N. fowleri growth in field-collected biofilms. This validates Meiothermus as prospective biological tool to aid in the identification and surveillance of N. fowleri colonisable sites.
Previous work on the lower Yakima River, Washington (downstream from Union Gap), has identified several cold-water areas that could be thermal refuges for migrating salmonids. These cold-water areas are characterized by small tributaries that are typically cooler than the main-stem river during summer months (June–August). Twenty-seven temperature sensors were deployed along the lower 90 miles of the Yakima River at 7 locations where cold water had been previously observed. Deployments lasted from 1 to 2 years from September 2018 to September 2020 to document the extent and duration of these cold-water areas. Cold-water areas included the mouths of tributaries, alongside channels, and alcoves. Throughout summer months, main-stem river temperatures were warm, averaging about 92 days, when maximum daily temperatures exceeded 21 degrees Celsius (°C). The relationship between temperatures in the lower Yakima River and its tributaries varied seasonally; tributary water temperatures were 2–10 °C cooler than the main-stem river during summer months but 6–10 °C warmer than main-stem temperatures during winter months. The cooling effect of tributary inputs reduced downstream temperatures in the main stem by an average of 2–4 °C up to 175 feet downstream from tributary mouths. Side channel locations showed evidence of cooling, most likely from subsurface groundwater seeps, but the magnitude of cooling was less evident compared to tributaries. This study provides new information on spatial and temporal dynamics of cold-water areas on the lower Yakima River, which might provide cold-water habitat for migrating fishes in the future.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235140","collaboration":"Prepared in cooperation with Benton Conservation District","usgsCitation":"Sheibley, R.W., Appel, M., Little, R., and Foreman, J.R., 2024, Extent and duration of cold-water areas associated with side channels and tributaries of the lower Yakima River, Washington, September 2018–20: U.S. Geological Survey Scientific Investigations Report 2023–5140, 50 p., https://doi.org/10.3133/sir20235140.","productDescription":"Report: ix, 50 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-130585","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":426156,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5140/images"},{"id":426155,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MHTEGN","text":"USGS data release","description":"USGS data release","linkHelpText":"Temperature data collected from the lower Yakima River from October 2018 to October 2020"},{"id":426154,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235140/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2023-5140"},{"id":426152,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5140/sir20235140.jpg"},{"id":499401,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116144.htm","linkFileType":{"id":5,"text":"html"}},{"id":426157,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5140/sir20235140.XML"},{"id":426153,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5140/sir20235140.pdf","text":"Report","size":"8.46 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5140"}],"country":"United States","state":"Washington","otherGeospatial":"Lower Yakima River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.28630644957337,\n 46.402847285280586\n ],\n [\n -120.28630644957337,\n 46.39387555060708\n ],\n [\n -120.27388079633042,\n 46.39387555060708\n ],\n [\n -120.27388079633042,\n 46.402847285280586\n ],\n [\n -120.28630644957337,\n 46.402847285280586\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Washington Water Science Center
U.S. Geological Survey
934 Broadway, Suite 300
Tacoma, Washington 98402
The Zero Ascend Omnispecies (ZAO) fish passage attraction module “ZAO Attractor” is a novel system designed to facilitate upstream passage for a broad spectrum of fish species, with a particular focus on American shad and river herring (alewife and/or blueback herring). Combining the use of prefabricated, modular components with advanced manufacturing, the ZAO aims to provide a cost-effective and scalable solution for fish passage attractions across various hydropower sites. The system features a surface level entry, so fish do not need to climb. In addition, it is designed to be adjusted and repositioned to create the most effective attraction flows by managing the outflows from hydropower turbines.
Budget Period 1 (BP1) focused on the design and modeling of the ZAO Attractor and demonstrated the engineering feasibility of a modular, prefabricated, hydrodynamically efficient structure with surface level entry and passage. During BP1, the hypothesis was that certain structural adaptations, such as the addition of long fins, could direct turbine outflows to create a desirable downstream flow. Simulations, however, were inconclusive, revealing the complex nature of fish preferences for hydraulic conditions. It was discovered that there were limited published studies on the direct correlation between quantified flow patterns and fish attraction, emphasizing the need for controlled studies to observe and measure these effects.
In Budget Period 2 (BP2), controlled studies with live fish were prioritized to address these complexities. A partially scaled ZAO Attractor was evaluated in laboratory conditions using native river water to assess its capability to attract and guide fish. Despite challenges with flume flow conditions and the impact of flume dimensions on flow directionality and velocity, the studies provided insights into fish behavior and preferences, particularly the requirement for a consistent flow stream for migration cues. Adjustments to the fin structure demonstrated potential effectiveness in guiding fish toward the module. However, the hydraulic conditions within the flume environment did not accurately reflect typical in-river scenarios, therefore the results were inconclusive with respect to the optimal system configuration for in-river use.
In the future, conducting comprehensive field studies can enhance understanding of the interactions between fish behavior and flow conditions created by the ZAO Attractor. Additionally, a design review is advised, particularly regarding the load scenarios throughout the seasons and positioning of the ZAO Attractor. These studies should continue to refine the design to achieve its intended benefits: economical and effective fish attraction and passage that can be adapted to specific site conditions while allowing for continued energy generation at sites up for re-licensure and adding hydropower generation to previously untapped resources in non-powered dams and new stream reaches.
In conclusion, the ZAO fish passage attraction module presents a promising approach to fish passage at hydropower stations, with the potential to balance environmental concerns with renewable energy development. However, further field validation and optimization are necessary to ensure its effectiveness and practicality in real-world applications.
","language":"English","publisher":"Littoral Power Systems, Inc.","doi":"10.2172/3001800","usgsCitation":"Leighton, K., Bryan, J., Mulligan, K., Stewart, K., Jacobson, P., Duquette, D., and Challa, R., 2024, Prefabricated Zero Ascend Omnispecies (ZAO) modular fish passage modules using advanced manufacturing techniques: Final Technical Report, 187 p., https://doi.org/10.2172/3001800.","productDescription":"187 p.","ipdsId":"IP-165273","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":497302,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Leighton, Katherine","contributorId":363650,"corporation":false,"usgs":false,"family":"Leighton","given":"Katherine","affiliations":[],"preferred":false,"id":951898,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bryan, Janine","contributorId":245811,"corporation":false,"usgs":false,"family":"Bryan","given":"Janine","email":"","affiliations":[{"id":49332,"text":"Whooshh Innovations","active":true,"usgs":false}],"preferred":false,"id":951871,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mulligan, Kevin 0000-0002-3534-4239 kmulligan@usgs.gov","orcid":"https://orcid.org/0000-0002-3534-4239","contributorId":177024,"corporation":false,"usgs":true,"family":"Mulligan","given":"Kevin","email":"kmulligan@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":951872,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stewart, Kevin G.","contributorId":352583,"corporation":false,"usgs":false,"family":"Stewart","given":"Kevin G.","affiliations":[{"id":84275,"text":"University of North Carolina-Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":951873,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jacobson, Paul","contributorId":363601,"corporation":false,"usgs":false,"family":"Jacobson","given":"Paul","affiliations":[{"id":80850,"text":"Electric Power Research Institute","active":true,"usgs":false}],"preferred":false,"id":951874,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Duquette, David","contributorId":363651,"corporation":false,"usgs":false,"family":"Duquette","given":"David","affiliations":[],"preferred":false,"id":951899,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Challa, Ravi","contributorId":363603,"corporation":false,"usgs":false,"family":"Challa","given":"Ravi","affiliations":[{"id":86732,"text":"Littoral Power Systems, Inc.,","active":true,"usgs":false}],"preferred":false,"id":951875,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70251818,"text":"sir20245002 - 2024 - Streamflow, base flow, and precipitation trends and simulated effects of Rush Springs aquifer groundwater withdrawals on base flows upgradient from Fort Cobb Reservoir, western Oklahoma","interactions":[],"lastModifiedDate":"2026-01-30T20:06:15.927647","indexId":"sir20245002","displayToPublicDate":"2024-03-04T08:04:05","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5002","displayTitle":"Streamflow, Base Flow, and Precipitation Trends and Simulated Effects of Rush Springs Aquifer Groundwater Withdrawals on Base Flows Upgradient From Fort Cobb Reservoir, Western Oklahoma","title":"Streamflow, base flow, and precipitation trends and simulated effects of Rush Springs aquifer groundwater withdrawals on base flows upgradient from Fort Cobb Reservoir, western Oklahoma","docAbstract":"To better understand the relation between groundwater use in the Rush Springs aquifer and inflows to the Fort Cobb Reservoir, the U.S. Geological Survey, in cooperation with the Bureau of Reclamation, used a previously published numerical groundwater-flow model and historical streamflow records to evaluate four scenarios to investigate how changing groundwater withdrawals could affect base flows in streams that flow into Fort Cobb Reservoir. These scenarios consisted of observing simulated base-flow response by (1) scaling the 20-year equal-proportionate-share groundwater-withdrawal rate by various percentages over a 50-year period; (2) scaling the historical groundwater-withdrawal rates by various percentages across the entire Rush Springs aquifer; (3) scaling the historical groundwater-withdrawal rates within various subareas (zones) of the Fort Cobb Reservoir surface watershed; and (4) simulating a base-flow-depletion scenario. Cobb, Lake, and Willow Creeks are the major streams upgradient from the Fort Cobb Reservoir (listed from highest to lowest mean annual base flow). The results of scenarios 1 and 2 indicated that Willow Creek is the most susceptible to drying, but Cobb Creek was the most likely to have reduced base flow. Scenarios 3 and 4 indicated that groundwater withdrawals affect Cobb Creek base flows over a broader watershed area compared to Lake and Willow Creeks. In scenario 4, Cobb Creek base-flow depletion was higher across a larger area than Lake Creek and Willow Creek. Groundwater withdrawals in the Cobb Creek watershed tended to affect total inflows into Fort Cobb Reservoir more than other areas in the extent of the Rush Springs aquifer.
Director, Oklahoma-Texas Water Science Center
U.S. Geological Survey
1505 Ferguson Lane
Austin, TX 78754-4501
We evaluated the Virgin, Verde, Salt, and Gila Rivers in the Lower Colorado River Basin. The watersheds have extents in Arizona, Utah, New Mexico, US and Sonora, MX.
We calculated trends in total dissolved solids (TDS) concentrations and fluxes with the Weighted Regressions on Time, Discharge and Season model. The modeling framework leverages daily streamflow and discrete water quality observations at specific monitoring sites. We evaluated trends for a common period (1976–2008) and the whole period of record at each monitoring site in terms of climate and anthropogenic controls.
Three rivers had persistent TDS concentrations exceeding the EPA secondary drinking water standard. All were associated with a geologic source of TDS. We observed increases and decreases in TDS concentrations at our monitoring sites, contrasting with global freshwater salinization and declining TDS concentrations in the Upper Colorado River Basin (UCRB). We attributed concentration variability to wintertime hydroclimatic forcing, with secondary influences of human water use. Reservoirs may decrease TDS concentrations by 50%. Efficiency improvements in irrigation and mining water uses may decrease TDS concentrations, while municipal growth increases TDS concentrations. We observed TDS flux declines at most monitoring sites. We attributed up to 85% of the TDS flux trend to changes in streamflow arising from drought and groundwater use. This study informs salinity dynamics in arid and aridifying locations, including the UCRB.
Fluvial landscape analysis is an essential part of geomorphology, hydrology, ecology, and cartography. It is traditionally focused on the transition between hillslopes and channel domain, in which the network drainage is represented by static flow lines. However, the natural fluctuations of the processes occurring in the watershed induce lateral and longitudinal expansions and contractions in the drainage patterns and variations of stream surface area. These dynamics can be better understood by introducing a two-dimensional (2D) view of catchment hydrography, in which river width and floodplain are included in the analysis.
The novelty introduced in this work is the development of a hydrodynamic hierarchical framework (HHF) to analyse the transitions among geomorphic and hydrographic features of the fluvial landscape, distinguishing hillslope, unchanneled valleys, floodplains, and single/multithreads channels. HHF is based on the estimation of nested inundation pattern domains (IPDs) from digital elevation models and 2D hydrodynamic modeling. IPDs are defined by scaling laws that characterize log–log relations between watershed drainage density and unit discharge thresholds extracted from a 2D direct rainfall method (DRM) under steady state solutions.
The physical significance of the IPDs is analysed within the context of both the physiographic features of the fluvial landscape and the rainfall rates employed as input for the modeling approach. Initially, the spatial heterogeneity of the IPDs is used to derive stream width metrics as a function of the rainfall rate. Then, a spatial index, representative of the IPDs' heterogeneity, is introduced as a measure of the susceptibility of the drainage network surface area to expansion and contraction. Finally, the consistency of the results is assessed in comparison to another hydrodynamic-based method for fluvial landscape analysis recently proposed in the literature.
The proposed approach is analysed using challenging mountain and low-relief environments, characterized by multithread channels, meander cut-offs, oxbow lakes, and extreme landscapes that feature glacial outwash, permafrost, and peatlands.
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Bari","active":true,"usgs":false}],"preferred":false,"id":925352,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shavers, Ethan J. 0000-0001-9470-5199 eshavers@usgs.gov","orcid":"https://orcid.org/0000-0001-9470-5199","contributorId":206890,"corporation":false,"usgs":true,"family":"Shavers","given":"Ethan","email":"eshavers@usgs.gov","middleInitial":"J.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":925353,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stanislawski, Larry 0000-0002-9437-0576","orcid":"https://orcid.org/0000-0002-9437-0576","contributorId":217849,"corporation":false,"usgs":true,"family":"Stanislawski","given":"Larry","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":925354,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70252589,"text":"70252589 - 2024 - Seasonal and decadal subsurface thaw dynamics of an Aufeis feature investigated through numerical simulations","interactions":[],"lastModifiedDate":"2024-03-29T11:55:55.292733","indexId":"70252589","displayToPublicDate":"2024-03-03T06:54:31","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal and decadal subsurface thaw dynamics of an Aufeis feature investigated through numerical simulations","docAbstract":"Aufeis (also known as icings) are large sheet-like masses of layered ice that form in river channels in arctic environments in the winter as groundwater discharges to the land surface and subsequently freezes. Aufeis are important sources of water for Arctic river ecosystems, bolstering late summer river discharge and providing habitat for caribou escaping insect harassment. The aim of this research is to use numerical simulations to evaluate a conceptual model of subsurface hydrogeothermal conditions that can lead to the formation of aufeis. We used a conceptual model based on geophysical data from the Kuparuk aufeis field on the North Slope of Alaska to develop a two-dimensional heterogeneous vertical profile model of groundwater flow, heat transport, and freeze/thaw dynamics. Modelling results showed that groundwater can flow to the land surface through subvertical high permeability pathways during winter months when the lower permeability soils near the land surface are frozen. The groundwater discharge can freeze on the surface, contributing to aufeis formation throughout the winter. We performed sensitivity analyses on subsurface properties and surface temperature and found that aufeis formation is most sensitive to the volume of unfrozen water available in the subsurface and the rate at which the subsurface water travels to the land surface. Although a trend of warming air temperatures will lead to a greater volume of unfrozen subsurface water, the aufeis volume can be reduced under warming conditions if the period of time for which air temperatures are below freezing is reduced.
Monitoring waterfowl populations provides the basis for improving habitat quantity and quality, establishing harvest regulations, and ensuring sustainable waterfowl populations through appropriate management. Waterfowl biologists currently use a variety of population and habitat monitoring methods ranging from informal ground observations to low-level occupied aircraft surveys. Although unoccupied aerial systems (UAS) may provide safer and more precise alternatives to traditional aerial survey techniques that are less disturbing to waterfowl, there is limited information on how waterfowl in winter respond to UAS. We compared the behavioral responses of waterfowl to helicopters and UAS on Missouri Department of Conservation wetland conservation areas October – February 2021-2022. Helicopter surveys were flown using an Airbus H125 helicopter at heights of 100 – 350 m, with UAS surveys flown using a DJI Mavic 2 Pro UAS at 15 – 90 m. Waterfowl behavior was categorized as alert, swim, fly, or abandonment using flock-scan surveys recorded for 10-minute periods before, during, and after the surveys. The percentage of time flocks spent in each behavior during- or post-survey were compared to time spent in those behaviors pre-survey. Waterfowl increased time spent swimming, flying, and abandonment in response to helicopter flights, whereas UAS flights did not influence overall waterfowl behavior. Additionally, waterfowl did not change behavior in response to UAS flights regardless of waterfowl guild (mallard, other duck, or goose) or hunting season (open or closed). Waterfowl did increase flight behavior during UAS flights at 30 m, however, there was no change in behavior at all other UAS survey altitudes. UAS may be a good alternative to traditional waterfowl survey methods and are not likely to affect waterfowl distributions or energy expenditures during the survey periods.
","language":"English","publisher":"Southeastern Association of Fish and Wildlife Agencies","usgsCitation":"Viegut, R.A., Webb, E.B., Raedeke, A., Tang, Z., Zhang, Y., and Shang, Y., 2024, Nonbreeding waterfowl behavioral response to crewed and uncrewed aerial surveys on conservation areas in Missouri: Journal of the Southeastern Association of Fish and Wildlife Agencies, v. 11, p. 127-136.","productDescription":"10 p.","startPage":"127","endPage":"136","ipdsId":"IP-149506","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":431830,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://seafwa.org/node/5337"},{"id":432366,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70261865,"text":"70261865 - 2024 - Delta blue(green)s: The effect of drought and drought-management actions on microcystis in the Sacramento–San Joaquin Delta","interactions":[],"lastModifiedDate":"2024-12-31T17:01:30.344758","indexId":"70261865","displayToPublicDate":"2024-03-01T10:52:54","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Delta blue(green)s: The effect of drought and drought-management actions on microcystis in the Sacramento–San Joaquin Delta","docAbstract":"Cyanobacterial phytoplankton blooms are more prevalent in the freshwater Sacramento-San Joaquin Delta (Delta) since the late 1990s, including blooms driven by overgrowths of potentially toxigenic organisms of the genus Microcystis. Data from 2014 to 2021 were used to show how flow dynamics, water temperature, and water clarity drive occurrence of Microcystis. We used a Microcystis bloom in the central Delta from 2021 as a case study for how novel monitoring tools can track blooms in real-time and be used post hoc to evaluate the effects of management actions.
Microcystis was detected throughout the Delta in all but the highest-flow years, and bloom incidence and severity increased during drier years. In the South Delta, Franks Tract, lower San Joaquin River, and Old River regions, where blooms are most prevalent, higher water temperatures and clarities combined with lower exports from state and federal water projects were the best explanatory factors for the occurrence of Microcystis blooms. Nutrient concentrations were lower in summer than in winter, but only became limiting at high phytoplankton concentrations.
We used satellite data and in situ continuous monitoring of flow, phytoplankton communities, and water quality to track hydro-biogeochemical conditions during the 2021 case study Microcystis bloom in the Central Delta. We did not find evidence that changes to Delta outflow regulatory standards contributed to this bloom, but changes in flow caused by a salinity barrier placed in west False River may have exacerbated the bloom. The frequency and severity of droughts are expected to increase in the future as a result of climate change, and our study demonstrates how continued monitoring of cyanotoxins, water quality, and phytoplankton communities could help improve management of cyanobacterial blooms in the Delta and other estuaries.
","language":"English","publisher":"University of California Davis","doi":"10.15447/sfews.2024v22iss1art2","usgsCitation":"Bouma-Gregson, K., Bosworth, D., Flynn, T., Maguire, A., Rinde, J., and Hartman, R., 2024, Delta blue(green)s: The effect of drought and drought-management actions on microcystis in the Sacramento–San Joaquin Delta: San Francisco Estuary and Watershed Science, v. 22, no. 1, 2, 39 p., https://doi.org/10.15447/sfews.2024v22iss1art2.","productDescription":"2, 39 p.","ipdsId":"IP-149616","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":467026,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2024v22iss1art2","text":"Publisher Index Page"},{"id":465580,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.66242740252514,\n 38.73105407088619\n ],\n [\n -122.63741310268495,\n 38.73105407088619\n ],\n [\n -122.63741310268495,\n 37.06608164483798\n ],\n [\n -121.66242740252514,\n 37.06608164483798\n ],\n [\n -121.66242740252514,\n 38.73105407088619\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"22","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Bouma-Gregson, Keith 0000-0002-0304-6034","orcid":"https://orcid.org/0000-0002-0304-6034","contributorId":311235,"corporation":false,"usgs":true,"family":"Bouma-Gregson","given":"Keith","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922083,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bosworth, David 0000-0003-0740-3390","orcid":"https://orcid.org/0000-0003-0740-3390","contributorId":347649,"corporation":false,"usgs":false,"family":"Bosworth","given":"David","affiliations":[{"id":40593,"text":"CA Department of Water Resources","active":true,"usgs":false}],"preferred":false,"id":922084,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flynn, Theodore M. 0000-0002-1838-8942","orcid":"https://orcid.org/0000-0002-1838-8942","contributorId":347651,"corporation":false,"usgs":false,"family":"Flynn","given":"Theodore M.","affiliations":[{"id":40593,"text":"CA Department of Water Resources","active":true,"usgs":false}],"preferred":false,"id":922085,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maguire, Amanda","contributorId":347652,"corporation":false,"usgs":false,"family":"Maguire","given":"Amanda","affiliations":[{"id":40593,"text":"CA Department of Water Resources","active":true,"usgs":false}],"preferred":false,"id":922086,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rinde, Jenna 0000-0001-6677-4701","orcid":"https://orcid.org/0000-0001-6677-4701","contributorId":347655,"corporation":false,"usgs":false,"family":"Rinde","given":"Jenna","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":922087,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hartman, Rosemary","contributorId":200388,"corporation":false,"usgs":false,"family":"Hartman","given":"Rosemary","email":"","affiliations":[],"preferred":false,"id":922088,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70251261,"text":"70251261 - 2024 - Grand Canyon, uranium mines, and groundwater; investigating the connection","interactions":[],"lastModifiedDate":"2025-03-14T15:34:32.155596","indexId":"70251261","displayToPublicDate":"2024-03-01T10:31:00","publicationYear":"2024","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":8569,"text":"Boatman's Quarterly Review","active":true,"publicationSubtype":{"id":30}},"title":"Grand Canyon, uranium mines, and groundwater; investigating the connection","docAbstract":"No abstract available.
","language":"English","publisher":"Grand Canyon River Guides","usgsCitation":"Cooney, K., 2024, Grand Canyon, uranium mines, and groundwater; investigating the connection: Boatman's Quarterly Review, v. 37, no. 1, p. 10-12.","productDescription":"3 p.","startPage":"10","endPage":"12","ipdsId":"IP-161520","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":483358,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":483357,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.gcrg.org/bqr","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.46367729677088,\n 36.91869593816463\n ],\n [\n -114.00065472873125,\n 36.91869593816463\n ],\n [\n -114.00065472873125,\n 35.66460950465459\n ],\n [\n -111.46367729677088,\n 35.66460950465459\n ],\n [\n -111.46367729677088,\n 36.91869593816463\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"37","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cooney, Kathryn Anne 0009-0008-7912-604X","orcid":"https://orcid.org/0009-0008-7912-604X","contributorId":333720,"corporation":false,"usgs":true,"family":"Cooney","given":"Kathryn Anne","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893735,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70257538,"text":"70257538 - 2024 - Seasonal activity patterns of northern long-eared bats on the coastal Mid-Atlantic","interactions":[],"lastModifiedDate":"2024-09-09T11:12:12.04529","indexId":"70257538","displayToPublicDate":"2024-03-01T10:09:06","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3909,"text":"Journal of the Southeastern Association of Fish and Wildlife Agencies","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal activity patterns of northern long-eared bats on the coastal Mid-Atlantic","docAbstract":"Conservation of bats declining from white-nose syndrome (WNS) impacts requires an understanding of both temporal and landscape-level habitat relationships. Traditionally, much of the research on bat ecology has focused on behavior of summer maternity colonies within species’ distribution cores, including that of the endangered northern long-eared bat (Myotis septentrionalis). To further our knowledge of this species, we evaluated multi-season activity patterns in eastern North Carolina and Virginia, including areas where populations were recently discovered. We used passive acoustic monitoring to assess relative and probable activity of northern long-eared bats from October 2016 to August 2021. Northern long-eared bat relative activity was greatest in areas containing greater proportions of woody wetlands and upland pine-dominated evergreen forests. However, the likelihood of recording northern long-eared bats was associated with smaller proportions of woody wetlands and open water resources. Furthermore, we observed a higher probability of recording northern long-eared bats during non-winter seasons. Probable activity was greatest at temperatures between 10 and 25 C, potentially highlighting an optimal thermoneutral zone for the species regionally. Relative activity of northern long-eared bats on the Coastal Plain of Virginia and North Carolina was primarily driven by cover features, whereas probable activity was driven by a combination of cover features, seasonality, and temperature. Therefore, acoustical surveys for this species may be most effective when targeting woody wetlands adjacent to upland forests, particularly upland pine-dominated evergreen stands, during moderate temperatures of non-winter seasons (1 April–15 November). Moreover, conservation of a diverse mosaic of woody wetlands juxtaposed by upland forests may promote both roosting and overwintering habitat, thereby enhancing overwintering survival, maternity colony establishment, and ultimately, successful reproduction of northern long-eared bats.
","language":"English","publisher":"Southeastern Association of Fish and Wildlife Agencies","usgsCitation":"De La Cruz, J., Kalen, N.J., Barr, E., Thorne, E., Silvis, A., Reynolds, R., and Ford, W., 2024, Seasonal activity patterns of northern long-eared bats on the coastal Mid-Atlantic: Journal of the Southeastern Association of Fish and Wildlife Agencies, v. 11, p. 185-195.","productDescription":"11 p.","startPage":"185","endPage":"195","ipdsId":"IP-154596","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":433599,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":433598,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://vtechworks.lib.vt.edu/server/api/core/bitstreams/899fdd9a-7b71-4123-8a90-dfdbe8587205/content"}],"country":"United States","state":"North Carolina, Virginia","otherGeospatial":"lower Piedmont and Coastal 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Resources","active":true,"usgs":false}],"preferred":false,"id":910654,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":910655,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70264589,"text":"70264589 - 2024 - Surface elevation trends in North Carolina's coastal wetlands","interactions":[],"lastModifiedDate":"2025-03-17T14:31:11.336488","indexId":"70264589","displayToPublicDate":"2024-03-01T09:22:04","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Surface elevation trends in North Carolina's coastal wetlands","docAbstract":"Coastal wetlands exist in the narrow fringe between uplands and open water and consequently, are uniquely vulnerable to the impacts of sea level rise (SLR). Predictive models suggest that in the coming decades sea level rise will lead to substantial losses of coastal wetland habitat in North Carolina. Empirical measurements of wetland response to SLR are vital for understanding which wetland complexes are most immediately threatened, so that mitigation, adaptation, and conservation efforts can be prioritized accordingly. Surface Elevation Tables (SETs) provide high resolution measures of wetland elevation change that can meet this need.
The North Carolina SET Community of Practice (NC SET COP) is a voluntary and unfunded partnership among stakeholders who have either installed Surface Elevation Tables (SETs) in North Carolina coastal wetlands, or who rely on SET data. The NC SET COP was formed in 2018 to identify and map the locations of all SETs installed within North Carolina, increase collaboration among SET users, and support efforts to identify regional trends in North Carolina coastal wetland response to sea level rise. The data presented here represent the first synoptic analysis of elevation trend data collected by NC SET COP partners.
Of 132 SETs installed across North Carolina (NC), 33 recorded net losses in elevation over the entire record of measurement. Among the 99 SETs that recorded positive elevation change, 79 (80%) did not build elevation fast enough to keep pace with the average rate of SLR over the past 30 years. The story these data tell is clear: the majority of NC’s coastal wetlands are not keeping pace with SLR. These data also provide a spatially explicit understanding of which wetlands are most at risk, and as a result, the SET data can help guide the use of restoration efforts for maximum effectiveness.
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