{"pageNumber":"123","pageRowStart":"3050","pageSize":"25","recordCount":68788,"records":[{"id":70254728,"text":"70254728 - 2023 - Causes, responses, and implications of anthropogenic versus natural flow intermittence in river networks","interactions":[],"lastModifiedDate":"2024-06-07T16:14:07.532687","indexId":"70254728","displayToPublicDate":"2022-12-07T11:04:57","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":997,"text":"BioScience","active":true,"publicationSubtype":{"id":10}},"title":"Causes, responses, and implications of anthropogenic versus natural flow intermittence in river networks","docAbstract":"

Rivers that do not flow year-round are the predominant type of running waters on Earth. Despite a burgeoning literature on natural flow intermittence (NFI), knowledge about the hydrological causes and ecological effects of human-induced, anthropogenic flow intermittence (AFI) remains limited. NFI and AFI could generate contrasting hydrological and biological responses in rivers because of distinct underlying causes of drying and evolutionary adaptations of their biota. We first review the causes of AFI and show how different anthropogenic drivers alter the timing, frequency and duration of drying, compared with NFI. Second, we evaluate the possible differences in biodiversity responses, ecological functions, and ecosystem services between NFI and AFI. Last, we outline knowledge gaps and management needs related to AFI. Because of the distinct hydrologic characteristics and ecological impacts of AFI, ignoring the distinction between NFI and AFI could undermine management of intermittent rivers and ephemeral streams and exacerbate risks to the ecosystems and societies downstream.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/biosci/biac098","usgsCitation":"Thibault Datry, Truchy, A., Julian D. Olden, Michelle H. Busch, Rachel Stubbington, Walter K. Dodds, Sam Zipper, Songyan Yu, Mathis L. Messager, Tonkin, J.D., Kaiser, K.E., Hammond, J., Moody, E., Burrows, R., Sarremejane, R., DelVecchia, A., Fork, M.L., Little, C., Walker, R.H., Walters, A.W., and Allen, D., 2023, Causes, responses, and implications of anthropogenic versus natural flow intermittence in river networks: BioScience, v. 73, no. 1, p. 9-22, https://doi.org/10.1093/biosci/biac098.","productDescription":"14 p.","startPage":"9","endPage":"22","ipdsId":"IP-141490","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":445153,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1093/biosci/biac098","text":"External Repository"},{"id":429654,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"73","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-12-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Thibault Datry","contributorId":337346,"corporation":false,"usgs":false,"family":"Thibault Datry","affiliations":[{"id":81018,"text":"INRAE, UR RiverLy","active":true,"usgs":false}],"preferred":false,"id":902366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Truchy, Amelie","contributorId":337347,"corporation":false,"usgs":false,"family":"Truchy","given":"Amelie","email":"","affiliations":[{"id":81018,"text":"INRAE, UR RiverLy","active":true,"usgs":false}],"preferred":false,"id":902367,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Julian D. Olden","contributorId":337348,"corporation":false,"usgs":false,"family":"Julian D. Olden","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":902368,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Michelle H. Busch","contributorId":337349,"corporation":false,"usgs":false,"family":"Michelle H. Busch","affiliations":[{"id":7062,"text":"University of Oklahoma","active":true,"usgs":false}],"preferred":false,"id":902369,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rachel Stubbington","contributorId":337350,"corporation":false,"usgs":false,"family":"Rachel Stubbington","affiliations":[{"id":81020,"text":"Nottingham Trent University","active":true,"usgs":false}],"preferred":false,"id":902370,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walter K. Dodds","contributorId":337351,"corporation":false,"usgs":false,"family":"Walter K. Dodds","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":902371,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sam Zipper","contributorId":337352,"corporation":false,"usgs":false,"family":"Sam Zipper","affiliations":[{"id":6773,"text":"University of Kansas","active":true,"usgs":false}],"preferred":false,"id":902372,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Songyan Yu","contributorId":337353,"corporation":false,"usgs":false,"family":"Songyan Yu","affiliations":[{"id":7117,"text":"Griffith University","active":true,"usgs":false}],"preferred":false,"id":902373,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mathis L. Messager","contributorId":337354,"corporation":false,"usgs":false,"family":"Mathis L. Messager","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":902374,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Tonkin, Jonathan D.","contributorId":260624,"corporation":false,"usgs":false,"family":"Tonkin","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":902568,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"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":902569,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hammond, John C. 0000-0002-4935-0736","orcid":"https://orcid.org/0000-0002-4935-0736","contributorId":223108,"corporation":false,"usgs":true,"family":"Hammond","given":"John C.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":902570,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Moody, E.K.","contributorId":12713,"corporation":false,"usgs":true,"family":"Moody","given":"E.K.","email":"","affiliations":[],"preferred":false,"id":902571,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Burrows, Ryan","contributorId":295995,"corporation":false,"usgs":false,"family":"Burrows","given":"Ryan","affiliations":[{"id":13336,"text":"University of Melbourne","active":true,"usgs":false}],"preferred":false,"id":902572,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Sarremejane, Romain","contributorId":337617,"corporation":false,"usgs":false,"family":"Sarremejane","given":"Romain","email":"","affiliations":[],"preferred":false,"id":902573,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"DelVecchia, Amanda 0000-0003-4252-5991","orcid":"https://orcid.org/0000-0003-4252-5991","contributorId":225165,"corporation":false,"usgs":false,"family":"DelVecchia","given":"Amanda","email":"","affiliations":[{"id":41061,"text":"Flathead Lake Biological Station, University of Montana, Polson, MT 59860","active":true,"usgs":false}],"preferred":false,"id":902574,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Fork, Megan L.","contributorId":139659,"corporation":false,"usgs":false,"family":"Fork","given":"Megan","email":"","middleInitial":"L.","affiliations":[{"id":12868,"text":"Nicholas School of the Environment, Duke University, Durham, NC, USA","active":true,"usgs":false}],"preferred":false,"id":902575,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Little, Chelsea","contributorId":337618,"corporation":false,"usgs":false,"family":"Little","given":"Chelsea","affiliations":[],"preferred":false,"id":902576,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Walker, Richard H 0000-0001-9167-5326","orcid":"https://orcid.org/0000-0001-9167-5326","contributorId":258781,"corporation":false,"usgs":true,"family":"Walker","given":"Richard","email":"","middleInitial":"H","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":902577,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":902375,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Allen, Daniel C. 0000-0002-0451-0564","orcid":"https://orcid.org/0000-0002-0451-0564","contributorId":225169,"corporation":false,"usgs":false,"family":"Allen","given":"Daniel","middleInitial":"C.","affiliations":[{"id":41064,"text":"Department of Biology, University of Oklahoma, Norman OK, 73019","active":true,"usgs":false}],"preferred":false,"id":902578,"contributorType":{"id":1,"text":"Authors"},"rank":21}]}} ,{"id":70254686,"text":"70254686 - 2023 - Landscape characteristics influence projected growth rates of stream-resident juvenile salmon in the face of climate change in the Kenai River watershed, south-central Alaska","interactions":[],"lastModifiedDate":"2024-06-10T15:55:37.485154","indexId":"70254686","displayToPublicDate":"2022-12-05T10:51:43","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Landscape characteristics influence projected growth rates of stream-resident juvenile salmon in the face of climate change in the Kenai River watershed, south-central Alaska","docAbstract":"

Objective

Climate change is affecting the distribution and productivity of Pacific salmon throughout their range. At high latitudes, warmer temperatures have been associated with increased freshwater growth of juvenile salmon, but it is not clear how long this trend will continue before further warming leads to reduced growth. To explore the potential influence of climate warming on juvenile Chinook and Coho Salmon summer growth rates in southcentral Alaska, we coupled bioenergetics models with temperature sensitivity models for streams across the Kenai River watershed.

Methods

We measured diet (n = 772 stomachs) and growth (n = 3,791 weight/length values) under current conditions and used published air temperature projections to model growth for the 2030–2039 and 2060–2069 decades.

Result

We estimated direct effects of climate warming on juvenile growth (body mass at the end of May–September study period) will be primarily negative, ranging from +5.1% to −22.8% relative to a 2010–2019 baseline. Estimated effects depended on age cohort, feeding rate, and climate scenario. However, an extended growing season from warming could mitigate or offset predicted reductions in growth during midsummer.

Conclusion

Our results illustrate how diverse habitats are expected to produce variation in the magnitude of climate effects throughout juvenile salmon rearing environments.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10397","usgsCitation":"Meyer, B.E., Wipfli, M.S., Schoen, E.R., Rinella, D.J., and Falke, J.A., 2023, Landscape characteristics influence projected growth rates of stream-resident juvenile salmon in the face of climate change in the Kenai River watershed, south-central Alaska: Transactions of the American Fisheries Society, v. 152, no. 2, p. 169-186, https://doi.org/10.1002/tafs.10397.","productDescription":"18 p.","startPage":"169","endPage":"186","ipdsId":"IP-118861","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":429770,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kenai River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -151.4549403294923,\n 60.880272178096675\n ],\n [\n -151.4549403294923,\n 59.98297350123735\n ],\n [\n -148.89064752578966,\n 59.98297350123735\n ],\n [\n -148.89064752578966,\n 60.880272178096675\n ],\n [\n -151.4549403294923,\n 60.880272178096675\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"152","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-12-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Meyer, B. E.","contributorId":337257,"corporation":false,"usgs":false,"family":"Meyer","given":"B.","email":"","middleInitial":"E.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":902284,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wipfli, M. S.","contributorId":337258,"corporation":false,"usgs":false,"family":"Wipfli","given":"M.","email":"","middleInitial":"S.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":902285,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schoen, E. R.","contributorId":337259,"corporation":false,"usgs":false,"family":"Schoen","given":"E.","email":"","middleInitial":"R.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":902286,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rinella, D. J.","contributorId":337260,"corporation":false,"usgs":false,"family":"Rinella","given":"D.","email":"","middleInitial":"J.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":902287,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":902288,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70239254,"text":"70239254 - 2023 - Geochemistry and fluxes of gases from hydrothermal features at Newberry Volcano, Oregon, USA","interactions":[],"lastModifiedDate":"2023-01-10T15:16:44.498624","indexId":"70239254","displayToPublicDate":"2022-12-05T09:12:22","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Geochemistry and fluxes of gases from hydrothermal features at Newberry Volcano, Oregon, USA","docAbstract":"

We present the chemical and isotopic compositions of gases and fluxes of CO2 from the hydrothermal features of Newberry Volcano, a large composite volcano located in Oregon's Cascade Range with a summit caldera that hosts two lakes, Paulina and East Lakes. Gas samples were collected from 1982 to 2021 from Paulina Hot Springs (PHS) on the shore of Paulina Lake, East Lake Hot Springs (ELHS) on the shore of East Lake, and Obsidian Flow Gas Seep (OFGS), an area of diffuse gas emissions. Surveys of CO2 flux were conducted in 2020 at OFGS (1400 m2) and East Lake (4.1 km2). Gases from all three sites were CO2-rich (≥79 mol% in dry gas) but showed considerable compositional variability over time due to interaction with ground and surface water. An increase in H2S concentrations and decline in CO2/H2S ratios in ELHS gases coincided with a drop in East Lake water level from 1999 to 2021. ELHS and OFGS gases were high in CH4 relative to PHS and the δ13C of CH4 values for ELHS gases (−72.2 and − 63.6 ‰) reflected a predominantly biogenic origin. The dominant source of N2 and Ar in PHS, ELHS, and OFGS samples was likely groundwater. Helium isotopic ratios (6.47 to 8.02 Rc/Ra) support a persistent source of magmatic He beneath Newberry caldera and consistently high values measured at OFGS and PHS relative to ELHS suggest distinct fluid flow paths from depth to the surface features. The δ13C of CO2 and CO2/3He values (−8.9 to −5.35 ‰ and 1.3 × 109 to 4.6 × 1010, respectively) measured in gases reflect contributions of CO2 from both mantle and crustal sources. Measured CO2 fluxes at OFGS and East Lake ranged from 1 to 8808 and < 1 to 364 g m−2 d−1, respectively. A CO2 emission rate of 0.5 t d−1 was calculated for OFGS. The CO2 emission rate estimated for East Lake was 30 t d−1 and when compared to prior estimates, reflects steady-state lake degassing. An enhanced geochemical monitoring plan, including annual sampling of gases at ELHS, OFGS, and PHS for geochemical analysis, installation of a continuous lake-level monitoring station at East Lake, and annual CO2 flux surveys at OFGS, would provide valuable background data and insights into any precursor volcanic activity. Integrating geochemical data with data from the real-time seismic and GPS network at Newberry Volcano could better resolve and interpret potential changes in its magma-hydrothermal system.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2022.107729","usgsCitation":"Lewicki, J.L., Evans, W.C., Ingebritsen, S.E., Clor, L., Kelly, P.J., Peek, S., Jensen, R.A., and Hunt, A., 2023, Geochemistry and fluxes of gases from hydrothermal features at Newberry Volcano, Oregon, USA: Journal of Volcanology and Geothermal Research, v. 433, 107729, 16 p., https://doi.org/10.1016/j.jvolgeores.2022.107729.","productDescription":"107729, 16 p.","ipdsId":"IP-142077","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":445171,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2022.107729","text":"Publisher Index Page"},{"id":411629,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Newberry Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.4446630583071,\n 43.958977799999275\n ],\n [\n -121.4446630583071,\n 43.4616991485112\n ],\n [\n -121.0217250470551,\n 43.4616991485112\n ],\n [\n -121.0217250470551,\n 43.958977799999275\n ],\n [\n -121.4446630583071,\n 43.958977799999275\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"433","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lewicki, Jennifer L. 0000-0003-1994-9104 jlewicki@usgs.gov","orcid":"https://orcid.org/0000-0003-1994-9104","contributorId":5071,"corporation":false,"usgs":true,"family":"Lewicki","given":"Jennifer","email":"jlewicki@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":860927,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, William C. 0000-0001-5942-3102 wcevans@usgs.gov","orcid":"https://orcid.org/0000-0001-5942-3102","contributorId":2353,"corporation":false,"usgs":true,"family":"Evans","given":"William","email":"wcevans@usgs.gov","middleInitial":"C.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":860928,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ingebritsen, Steven E. 0000-0001-6917-9369 seingebr@usgs.gov","orcid":"https://orcid.org/0000-0001-6917-9369","contributorId":818,"corporation":false,"usgs":true,"family":"Ingebritsen","given":"Steven","email":"seingebr@usgs.gov","middleInitial":"E.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":860929,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clor, Laura E. 0000-0003-2633-5100","orcid":"https://orcid.org/0000-0003-2633-5100","contributorId":209969,"corporation":false,"usgs":true,"family":"Clor","given":"Laura E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":860930,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kelly, Peter J. 0000-0002-3868-1046 pkelly@usgs.gov","orcid":"https://orcid.org/0000-0002-3868-1046","contributorId":5931,"corporation":false,"usgs":true,"family":"Kelly","given":"Peter","email":"pkelly@usgs.gov","middleInitial":"J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":860931,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peek, Sara 0000-0002-9770-6557","orcid":"https://orcid.org/0000-0002-9770-6557","contributorId":209971,"corporation":false,"usgs":true,"family":"Peek","given":"Sara","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":860932,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jensen, Robert A.","contributorId":35469,"corporation":false,"usgs":false,"family":"Jensen","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":7134,"text":"USFS","active":true,"usgs":false}],"preferred":false,"id":860933,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hunt, Andrew G. 0000-0002-3810-8610","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":206197,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew G.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":860934,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70238758,"text":"70238758 - 2023 - Modeling the dynamic penetration depth of post-1950s water in unconfined aquifers using environmental tracers: Central Valley, California","interactions":[],"lastModifiedDate":"2022-12-07T13:11:33.679909","indexId":"70238758","displayToPublicDate":"2022-12-05T07:09:26","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the dynamic penetration depth of post-1950s water in unconfined aquifers using environmental tracers: Central Valley, California","docAbstract":"

The penetration depth of post-1950s recharge (D-1950) in aquifers is a marker that is frequently used to identify groundwater that is susceptible to anthropogenic contamination. Here, we compute D-1950 values at wells, interpolate them in space, and project them across time to map the moving front of modern recharge in four dimensions in the Central Valley aquifer system, California, USA. Tracers of groundwater age (tritium, carbon-14, noble gases, sulfur hexafluoride, and chlorofluorocarbons) were collected at 650 wells spatially distributed throughout the Central Valley and were fit to a lumped-parameter model that assumes a logarithmic age-depth profile in the aquifer. For samples where tritium was present (>0.3 tritium units), the model was used to predict D-1950 at wells screened above or across the modern-premodern interface (n = 484). Wells with samples where tritium was absent (≤0.3 tritium units) were used to define the depth beyond which groundwater is completely premodern (n = 166). Predicted D-1950 values were below the depth of screen bottoms for wells where groundwater is completely modern, and above the depth of screen tops for wells where groundwater is completely premodern. The interpolated surface of D-1950 is dynamic, less prone to extreme values, and produces maps with lower interpolation errors due to a higher spatial density of wells than maps based on the depth of premodern groundwater. Between 2005 and 2025, D-1950 is expected to deepen by 11 and 12 m in the northern and southern parts of the Central Valley, respectively. Areas where D-1950 increases rapidly are likely to see increases in nitrate and other anthropogenic contaminants associated with the downward moving front of modern water.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2022.128818","usgsCitation":"Faulkner, K., Jurgens, B., Voss, S., Dupuy, D., and Levy, Z., 2023, Modeling the dynamic penetration depth of post-1950s water in unconfined aquifers using environmental tracers: Central Valley, California: Journal of Hydrology, v. 616, 128818, 14 p., https://doi.org/10.1016/j.jhydrol.2022.128818.","productDescription":"128818, 14 p.","ipdsId":"IP-130865","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":435552,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MA4MBP","text":"USGS data release","linkHelpText":"Central Valley Aquifer Age Dating Web Tool"},{"id":435551,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CL07RX","text":"USGS data release","linkHelpText":"Data for assessing the penetration depth post-1950s water in the Central Valley aquifer system, California (July 2022)"},{"id":410157,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.8909609860649,\n 40.725785462097406\n ],\n [\n -123.12090740207057,\n 41.057846544130285\n ],\n [\n -122.81342079806942,\n 39.65201564752738\n ],\n [\n -122.02274095920826,\n 37.69748533018377\n ],\n [\n -120.74886788548812,\n 35.654353146053566\n ],\n [\n -118.72824163062074,\n 34.54025513434168\n ],\n [\n -117.67400184547287,\n 35.43991112996163\n ],\n [\n -120.35352796605754,\n 38.389359440096\n ],\n [\n -121.8909609860649,\n 40.725785462097406\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"616","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Faulkner, Kirsten 0000-0003-1628-2877","orcid":"https://orcid.org/0000-0003-1628-2877","contributorId":222341,"corporation":false,"usgs":true,"family":"Faulkner","given":"Kirsten","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":858488,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jurgens, Bryant 0000-0002-1572-113X","orcid":"https://orcid.org/0000-0002-1572-113X","contributorId":203430,"corporation":false,"usgs":true,"family":"Jurgens","given":"Bryant","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":858489,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Voss, Stefan 0000-0003-1214-9358","orcid":"https://orcid.org/0000-0003-1214-9358","contributorId":217888,"corporation":false,"usgs":true,"family":"Voss","given":"Stefan","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":858490,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":858491,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Levy, Zeno F. 0000-0003-4580-2309","orcid":"https://orcid.org/0000-0003-4580-2309","contributorId":222340,"corporation":false,"usgs":true,"family":"Levy","given":"Zeno","middleInitial":"F.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":858492,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70238826,"text":"70238826 - 2023 - Learning from arid and urban aquatic ecosystems to inform more sustainable and resilient futures","interactions":[],"lastModifiedDate":"2022-12-13T12:52:49.994084","indexId":"70238826","displayToPublicDate":"2022-12-02T06:50:49","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Learning from arid and urban aquatic ecosystems to inform more sustainable and resilient futures","docAbstract":"

The hydrology and aquatic ecology of arid environments has long been understudied relative to temperate regions. Yet spatially and temporally intermittent and ephemeral waters characterized by flashy hydrographs typify arid regions that comprise a substantial proportion of the Earth. Additionally, drought, intense storms, and human modification of landscapes increasingly affect many temperate regions, resulting in hydrologic regimes more similar to aridlands. Here we review the contributions of Dr. Nancy Grimm to aridland hydrology and ecology, and applications of these insights to urban ecosystems and resilience of social-ecological-technological systems. Grimm catalyzed study of nitrogen cycling in streams and characterized feedbacks between surface water-groundwater exchange, nitrogen transformations, and aquatic biota. In aridlands, outcomes of these interactions depend on short- and long-term variation in the hydrologic regime. Grimm and colleagues applied hydrological and biogeochemical insights gained from study of aridland streams to urban ecosystems, integrating engineering, social and behavioral sciences, and geography. These studies evolved from characterizing the spatial heterogeneity of urban systems (i.e., watersheds, novel aquatic systems) and its influence on nutrient dynamics to an approach that evaluated human decision-making as a driver of disturbance regimes and changes in ecosystem function. Finally, Grimm and colleagues have applied principles of urban ecology to look toward the future of cities, considering scenarios of sustainable and resilient futures. We identify cross-cutting themes and approaches that have motivated discoveries across Grimm’s multi-decadal career, including spatial and temporal heterogeneity, hydrologic connectivity and regime, disturbance, systems thinking, and resilience. Finally, we emphasize Grimm’s broad contributions to science via support of long-term research, dedication to mentoring, and extensive collaborations that facilitated transdisciplinary research.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2022.128841","usgsCitation":"McPhillips, L., Berbes-Blazquez, M., Hale, R., Harms, T., Bisht, V., Caughman, L., Clinton, S., Cook, E., Dong, X., Edmonds, J., Gergel, S., Gomez, R., Hopkins, K.G., Iwaniec, D., Kim, Y., Kuhn, A., Larson, L., Lewis, D., Marti, E., Palta, M.M., Roach, W.J., and Ye, L., 2023, Learning from arid and urban aquatic ecosystems to inform more sustainable and resilient futures: Journal of Hydrology, v. 616, 128841, 13 p., https://doi.org/10.1016/j.jhydrol.2022.128841.","productDescription":"128841, 13 p.","ipdsId":"IP-145383","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":445177,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2022.128841","text":"Publisher Index Page"},{"id":410355,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"616","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McPhillips, Lauren","contributorId":270777,"corporation":false,"usgs":false,"family":"McPhillips","given":"Lauren","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":858804,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berbes-Blazquez, Marta","contributorId":299828,"corporation":false,"usgs":false,"family":"Berbes-Blazquez","given":"Marta","email":"","affiliations":[{"id":6655,"text":"University of Waterloo","active":true,"usgs":false}],"preferred":false,"id":858805,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hale, Rebecca 0000-0002-3552-3691","orcid":"https://orcid.org/0000-0002-3552-3691","contributorId":195753,"corporation":false,"usgs":false,"family":"Hale","given":"Rebecca","email":"","affiliations":[{"id":12865,"text":"Smithsonian Institute","active":true,"usgs":false}],"preferred":false,"id":858806,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harms, Tamara K","contributorId":217764,"corporation":false,"usgs":false,"family":"Harms","given":"Tamara K","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":858807,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bisht, Vanya","contributorId":299829,"corporation":false,"usgs":false,"family":"Bisht","given":"Vanya","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":858808,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Caughman, 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Xiaoli","contributorId":299833,"corporation":false,"usgs":false,"family":"Dong","given":"Xiaoli","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":858812,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Edmonds, Jennifer","contributorId":299834,"corporation":false,"usgs":false,"family":"Edmonds","given":"Jennifer","email":"","affiliations":[{"id":24777,"text":"Nevada State College","active":true,"usgs":false}],"preferred":false,"id":858813,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gergel, Sarah","contributorId":299835,"corporation":false,"usgs":false,"family":"Gergel","given":"Sarah","email":"","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":858814,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Gomez, Rosa","contributorId":299836,"corporation":false,"usgs":false,"family":"Gomez","given":"Rosa","email":"","affiliations":[{"id":47555,"text":"University of Murcia","active":true,"usgs":false}],"preferred":false,"id":858815,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"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":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":858816,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Iwaniec, David","contributorId":299837,"corporation":false,"usgs":false,"family":"Iwaniec","given":"David","email":"","affiliations":[{"id":52554,"text":"Georgia State University","active":true,"usgs":false}],"preferred":false,"id":858817,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Kim, Yeowon","contributorId":299838,"corporation":false,"usgs":false,"family":"Kim","given":"Yeowon","email":"","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":858818,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Kuhn, Amanda","contributorId":299839,"corporation":false,"usgs":false,"family":"Kuhn","given":"Amanda","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":858819,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Larson, Libby","contributorId":299840,"corporation":false,"usgs":false,"family":"Larson","given":"Libby","email":"","affiliations":[{"id":64960,"text":"NASA Goddard Space Flight Center/SSAI","active":true,"usgs":false}],"preferred":false,"id":858820,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Lewis, David Bruce","contributorId":156433,"corporation":false,"usgs":false,"family":"Lewis","given":"David Bruce","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":858821,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Marti, Eugenia","contributorId":299842,"corporation":false,"usgs":false,"family":"Marti","given":"Eugenia","email":"","affiliations":[{"id":64961,"text":"Centre d’Estudis Avançats de Blanes","active":true,"usgs":false}],"preferred":false,"id":858822,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Palta, Monica M.","contributorId":221680,"corporation":false,"usgs":false,"family":"Palta","given":"Monica","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":858823,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Roach, W. John","contributorId":299845,"corporation":false,"usgs":false,"family":"Roach","given":"W.","email":"","middleInitial":"John","affiliations":[{"id":64962,"text":"SimBio","active":true,"usgs":false}],"preferred":false,"id":858824,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Ye, Lin","contributorId":299848,"corporation":false,"usgs":false,"family":"Ye","given":"Lin","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":858825,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}} ,{"id":70256602,"text":"70256602 - 2023 - Differential hypoxia tolerance of eastern oysters from the northern Gulf of Mexico at elevated temperature","interactions":[],"lastModifiedDate":"2024-08-23T16:39:24.755117","indexId":"70256602","displayToPublicDate":"2022-12-01T11:33:17","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2277,"text":"Journal of Experimental Marine Biology and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Differential hypoxia tolerance of eastern oysters from the northern Gulf of Mexico at elevated temperature","docAbstract":"

Increasing prevalence of hypoxia in shallow waters of U.S. Gulf of Mexico (GoM) estuaries can pose a serious threat to eastern oysters (Crassostrea virginica). Their tolerance to hypoxia, however, is not well characterized, especially at elevated temperatures (>30 °C) typical of GoM estuaries in summer. Moreover, it is unknown whether differences in hypoxia tolerance exist between GoM oyster populations growing in estuaries differing in local environmental conditions. Wild oyster broodstocks were collected from four estuarine sites in Texas (Packery Channel, PC and Aransas Bay, AB) and Louisiana (Calcasieu Lake, CL and Vermilion Bay, VB) and their adult progenies (F1) were tested (Study 1) under continuous hypoxia (<2.0 mg O2 L−1) at 32 °C. Significant differences in hypoxia tolerance were found between F1 populations with calculated median lethal time (LT50) ranging from 3.9 to 12.5 days. PC and CL oysters were the most and least tolerant populations, respectively. The study was repeated twice more (Studies 2 and 3) using PC and CL oysters, and their responses at the organismic, cellular, and biochemical levels were investigated. Valve movement was monitored, and oysters were sampled to measure hemocyte density, plasma protein, calcium and glutathione concentrations, and digestive gland alanine and succinate concentrations after either 3–5 days (Study 2) or 1–3 days (Study 3) of hypoxia exposure. From the onset of hypoxia until their death, oysters stayed opened 13–32% of the time compared to 53–64% under normoxia, but no differences between populations were detected under hypoxia. PC oyster but not CL oyster plasma glutathione concentrations increased significantly in both studies. Under longer (3–5 days) hypoxia exposure, plasma calcium and glutathione concentrations of PC oysters were significantly higher than CL oysters. These results suggest PC oysters were better able to protect tissues against acidosis and oxidative damage during hypoxia and high temperature stress than CL oysters. Overall, our results indicate that oyster populations originating from the GoM vary in their response to hypoxia and high temperature stress and possess differential tolerance.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jembe.2022.151840","usgsCitation":"Coxe, N., Casas, S.M., Marshall, D., La Peyre, M., Kelly, M.W., and La Peyre, J.F., 2023, Differential hypoxia tolerance of eastern oysters from the northern Gulf of Mexico at elevated temperature: Journal of Experimental Marine Biology and Ecology, v. 559, 151840, 11 p., https://doi.org/10.1016/j.jembe.2022.151840.","productDescription":"151840, 11 p.","ipdsId":"IP-142239","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":499844,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.lsu.edu/animalsciences_pubs/2258","text":"External Repository"},{"id":433112,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Louisiana, Mississippi, Texas","otherGeospatial":"Northern Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -97.41593828686382,\n 26.24620150154975\n ],\n [\n -87.8147474310154,\n 30.18094270243091\n ],\n [\n -88.19816867786844,\n 31.00775203702119\n ],\n [\n -95.65904444535767,\n 29.715904561157274\n ],\n [\n -98.19488550583708,\n 27.38532092313082\n ],\n [\n -97.41593828686382,\n 26.24620150154975\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"559","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Coxe, Nicholas","contributorId":341331,"corporation":false,"usgs":false,"family":"Coxe","given":"Nicholas","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":908246,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Casas, Sandra M.","contributorId":145452,"corporation":false,"usgs":false,"family":"Casas","given":"Sandra","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":908247,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marshall, Danielle A.","contributorId":239867,"corporation":false,"usgs":false,"family":"Marshall","given":"Danielle A.","affiliations":[{"id":48014,"text":"School of Renewable Natural Resources, Louisiana State University Agricultural Center, Baton Rouge, LA","active":true,"usgs":false}],"preferred":false,"id":908248,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":908249,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kelly, Morgan W.","contributorId":341332,"corporation":false,"usgs":false,"family":"Kelly","given":"Morgan","email":"","middleInitial":"W.","affiliations":[{"id":13321,"text":"Texas A & M University","active":true,"usgs":false}],"preferred":false,"id":908250,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"La Peyre, Jerome F.","contributorId":177346,"corporation":false,"usgs":false,"family":"La Peyre","given":"Jerome","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":908252,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70248260,"text":"70248260 - 2023 - Hydroclimate and fire paleorecords across the southern Rockies and Colorado Plateau over the common era","interactions":[],"lastModifiedDate":"2026-03-19T14:46:05.60671","indexId":"70248260","displayToPublicDate":"2022-12-01T09:44:02","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Hydroclimate and fire paleorecords across the southern Rockies and Colorado Plateau over the common era","docAbstract":"

The southwestern US has been experiencing a severe drought and increased fire activity over the past two decades, affecting people’s health, homes, and businesses. Many individual fires occurring in the Southwest are the most severe in recorded history both in terms of dollars of damages as well as in fire extent. It is essential to be able to place the present drought and fires into the context of the current changing climate as well as in the framework of climate variability and human activity over centennial to millennial timescales. Dendrochronology can determine both the seasonality of fires as well as changes in precipitation. Charcoal, pollen, and the biomarkers levoglucosan, mannosan, and galactosan can help determine fire activity and the type of burned vegetation. People have controlled and utilized fire in the southwestern US for thousands of years. While proxies cannot yet determine if people ignited a specific fire, fecal sterols can determine if people were within an individual watershed. Here, we examine the strengths and weaknesses of using high-resolution tree-ring data in conjunction with biomarkers in ice and lake cores from the southwestern US to study interactions between changes in hydroclimate, fires, and human activity. 

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 89th annual western snow conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Western Snow Conference","usgsCitation":"Kehrwald, N.M., and Brice, R.L., 2023, Hydroclimate and fire paleorecords across the southern Rockies and Colorado Plateau over the common era, in Proceedings of the 89th annual western snow conference, p. 41-45.","productDescription":"5 p.","startPage":"41","endPage":"45","ipdsId":"IP-143647","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":420531,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://westernsnowconference.org/proceedings/"},{"id":501308,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kehrwald, Natalie M. 0000-0002-9160-2239 nkehrwald@usgs.gov","orcid":"https://orcid.org/0000-0002-9160-2239","contributorId":168918,"corporation":false,"usgs":true,"family":"Kehrwald","given":"Natalie","email":"nkehrwald@usgs.gov","middleInitial":"M.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":882138,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brice, Rebecca Lynn 0000-0003-0023-5988","orcid":"https://orcid.org/0000-0003-0023-5988","contributorId":247868,"corporation":false,"usgs":true,"family":"Brice","given":"Rebecca","email":"","middleInitial":"Lynn","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":882139,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70248044,"text":"70248044 - 2023 - Burmese python size and reproduction: Fact vs fiction","interactions":[],"lastModifiedDate":"2023-09-01T14:43:46.360439","indexId":"70248044","displayToPublicDate":"2022-12-01T09:43:11","publicationYear":"2023","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":16298,"text":"Everglades Cooperative Invasive Species Management Area Newsletter","active":true,"publicationSubtype":{"id":30}},"title":"Burmese python size and reproduction: Fact vs fiction","docAbstract":"We’ve probably all heard rumors about monster 25-foot snakes or baby pythons emerging from under neighbors houses year-round, but what is fact vs fiction? To help us sort truth from myth, invasive pythons that were removed from the Everglades and surrendered to the National Park Service (NPS) were scientifically investigated via a partnership with the U.S. Geological Survey Fort Collins Science Center’s (USGS FORT) Invasive Species Science Branch. Other contributing partners were South Florida Water Management District and Florida Fish and Wildlife Conservation Commission’s Python Contractor and Agent programs. Over the past 25 years more than 4,000 wild Burmese pythons have been found and removed from southern Florida’s Greater Everglades Ecosystem.","language":"English","usgsCitation":"Sandfoss, M.R., 2023, Burmese python size and reproduction: Fact vs fiction: Everglades Cooperative Invasive Species Management Area Newsletter, v. 12.","productDescription":"1 p.","startPage":"11","ipdsId":"IP-147852","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":420411,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.evergladescisma.org/publications-and-tools/","linkFileType":{"id":5,"text":"html"}},{"id":420412,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sandfoss, Mark Robert 0000-0002-0162-7265","orcid":"https://orcid.org/0000-0002-0162-7265","contributorId":328884,"corporation":false,"usgs":true,"family":"Sandfoss","given":"Mark","email":"","middleInitial":"Robert","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":881606,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70239059,"text":"70239059 - 2023 - Bioavailability of dissolved organic matter varies with anthropogenic landcover in the Upper Mississippi River Basin","interactions":[],"lastModifiedDate":"2022-12-22T12:44:51.457844","indexId":"70239059","displayToPublicDate":"2022-11-28T06:42:04","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Bioavailability of dissolved organic matter varies with anthropogenic landcover in the Upper Mississippi River Basin","docAbstract":"

Anthropogenic conversion of forests and wetlands to agricultural and urban landcovers impacts dissolved organic matter (DOM) within streams draining these catchments. Research on how landcover conversion impacts DOM molecular level composition and bioavailability, however, is lacking. In the Upper Mississippi River Basin (UMRB), water from low-order streams and rivers draining one of three dominant landcovers (forest, agriculture, urban) was incubated for 28 days to determine bioavailable DOC (BDOC) concentrations and changes in DOM composition. The BDOC concentration averaged 0.49 ± 0.30 mg L−1 across all samples and was significantly higher in streams draining urban catchments (0.72 ± 0.34 mg L−1) compared to streams draining agricultural (0.28 ± 0.15 mg L−1) and forested (0.47 ± 0.17 mg L−1) catchments. Percent BDOC was significantly greater in urban (10% ± 4.4%) streams compared to forested streams (5.6% ± 3.2%), corresponding with greater relative abundances of aliphatic and N-containing aliphatic compounds in urban streams. Aliphatic compound relative abundance decreased across all landcovers during the bioincubation (average -4.1% ± 10%), whereas polyphenolics and condensed aromatics increased in relative abundance across all landcovers (average of +1.4% ± 5.9% and +1.8% ± 10%, respectively). Overall, the conversion of forested to urban landcover had a larger impact on stream DOM bioavailability in the UMRB compared to conversion to agricultural landcover. Future research examining the impacts of anthropogenic landcover conversion on stream DOM composition and bioavailability needs to be expanded to a range of spatial scales and to different ecotones, especially with continued landcover alterations.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2022.119357","usgsCitation":"Vaughn, D.R., Kellerman, A.M., Wickland, K., Striegl, R.G., Podgorski, D.C., Hawkings, J.R., Nienhuis, J.H., Dornblaser, M.M., Stets, E.G., and Spencer, R., 2023, Bioavailability of dissolved organic matter varies with anthropogenic landcover in the Upper Mississippi River Basin: Water Research, v. 229, 119357, 11 p., https://doi.org/10.1016/j.watres.2022.119357.","productDescription":"119357, 11 p.","ipdsId":"IP-146292","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":445199,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.watres.2022.119357","text":"Publisher Index Page"},{"id":410921,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, Iowa, North Dakota, South Dakota, Wisconsin","otherGeospatial":"Upper Mississippi River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -97.54014310622625,\n 47.81267654671956\n ],\n [\n -97.54014310622625,\n 43.006254798709676\n ],\n [\n -90.11653795247621,\n 43.006254798709676\n ],\n [\n -90.11653795247621,\n 47.81267654671956\n ],\n [\n -97.54014310622625,\n 47.81267654671956\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"229","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Vaughn, Derrick R.","contributorId":267313,"corporation":false,"usgs":false,"family":"Vaughn","given":"Derrick","email":"","middleInitial":"R.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":859867,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kellerman, Anne M.","contributorId":204172,"corporation":false,"usgs":false,"family":"Kellerman","given":"Anne","email":"","middleInitial":"M.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":859868,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wickland, Kimberly 0000-0002-6400-0590","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":208471,"corporation":false,"usgs":true,"family":"Wickland","given":"Kimberly","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":859869,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":859870,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Podgorski, David C.","contributorId":178153,"corporation":false,"usgs":false,"family":"Podgorski","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":859871,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hawkings, Jon R.","contributorId":267314,"corporation":false,"usgs":false,"family":"Hawkings","given":"Jon","email":"","middleInitial":"R.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":859872,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nienhuis, Jaap H.","contributorId":300295,"corporation":false,"usgs":false,"family":"Nienhuis","given":"Jaap","email":"","middleInitial":"H.","affiliations":[{"id":36885,"text":"Utrecht University","active":true,"usgs":false}],"preferred":false,"id":859873,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dornblaser, Mark M.","contributorId":300296,"corporation":false,"usgs":false,"family":"Dornblaser","given":"Mark","email":"","middleInitial":"M.","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":859874,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stets, Edward G. 0000-0001-5375-0196 estets@usgs.gov","orcid":"https://orcid.org/0000-0001-5375-0196","contributorId":194490,"corporation":false,"usgs":true,"family":"Stets","given":"Edward","email":"estets@usgs.gov","middleInitial":"G.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":859875,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Spencer, Robert G.M.","contributorId":173304,"corporation":false,"usgs":false,"family":"Spencer","given":"Robert G.M.","affiliations":[{"id":16705,"text":"Woods Hole Research Center","active":true,"usgs":false}],"preferred":false,"id":859876,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70238737,"text":"70238737 - 2023 - Towards a unified drag coefficient formula for quantifying wave energy reduction by salt marshes","interactions":[],"lastModifiedDate":"2022-12-15T16:01:07.181311","indexId":"70238737","displayToPublicDate":"2022-11-27T06:44:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1262,"text":"Coastal Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Towards a unified drag coefficient formula for quantifying wave energy reduction by salt marshes","docAbstract":"

Coastal regions are susceptible to increasing flood risks amid climate change. Coastal wetlands play an important role in mitigating coastal hazards. Vegetation exerts a drag force to the flow and dampens storm surges and wind waves. The prediction of wave attenuation by vegetation typically relies on a pre-determined drag coefficient CD\">CD. Existing CD\">CD formulas are subject to vegetation biomechanical properties, especially the flexibility. Accounting for vegetation flexibility through the effective plant height (EPH), we propose and validate a species-independent relationship between CD\">CD and the Reynolds number Re\">Re based on three independent datasets that cover a wide range of hydrodynamic conditions and vegetation traits. The proposed CD&#x2212;Re\">CD−Re relationship, used together with EPH, allows for predicting wave attenuation in salt marshes with high accuracy. Furthermore, a total of 308,000 numerical experiments with diverse wave conditions are conducted using the proposed CD&#x2212;Re\">CD−Re relationship and EPH to quantify the wave attenuation capacity of two typical salt mash species: Elymus athericus (highly flexible) and Spartina alterniflora (relatively rigid). It is found that wave attenuation is controlled by wave height to water depth ratio and EPH to water depth ratio. When swaying in large waves in shallow to intermediate water depth, a 50-m-long Elymus athericus field may lose up to 30% capacity for wave attenuation. As wave height increases, highly flexible vegetation causes reduced wave attenuation, whereas relatively rigid vegetation induces increased wave attenuation. The leaf contribution to wave attenuation is highly dependent on the leaf rigidity. It is recommended that leaf properties, especially its Young’s modulus be collected in future field experiments.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.coastaleng.2022.104256","usgsCitation":"Zhu, L., Chen, Q., Ding, Y., Jafari, N., Wang, H., and Johnson, B.D., 2023, Towards a unified drag coefficient formula for quantifying wave energy reduction by salt marshes: Coastal Engineering, v. 180, 104256, 14 p., https://doi.org/10.1016/j.coastaleng.2022.104256.","productDescription":"104256, 14 p.","ipdsId":"IP-121483","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":445202,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.coastaleng.2022.104256","text":"Publisher Index Page"},{"id":410152,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"180","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zhu, Ling 0000-0003-0261-6848","orcid":"https://orcid.org/0000-0003-0261-6848","contributorId":222169,"corporation":false,"usgs":false,"family":"Zhu","given":"Ling","affiliations":[{"id":38331,"text":"Northeastern University","active":true,"usgs":false}],"preferred":false,"id":858451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chen, Q. 0000-0002-6540-8758","orcid":"https://orcid.org/0000-0002-6540-8758","contributorId":56532,"corporation":false,"usgs":false,"family":"Chen","given":"Q.","affiliations":[{"id":38331,"text":"Northeastern University","active":true,"usgs":false}],"preferred":true,"id":858452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ding, Yan","contributorId":299723,"corporation":false,"usgs":false,"family":"Ding","given":"Yan","email":"","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":858453,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jafari, Navid H.","contributorId":214730,"corporation":false,"usgs":false,"family":"Jafari","given":"Navid H.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":858454,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, Hongqing 0000-0002-2977-7732","orcid":"https://orcid.org/0000-0002-2977-7732","contributorId":221902,"corporation":false,"usgs":true,"family":"Wang","given":"Hongqing","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":858455,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Bradley D.","contributorId":299724,"corporation":false,"usgs":false,"family":"Johnson","given":"Bradley","email":"","middleInitial":"D.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":858456,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70240690,"text":"70240690 - 2023 - Hawaiian waterbird movement across a developed landscape","interactions":[],"lastModifiedDate":"2023-02-15T12:48:09.392983","indexId":"70240690","displayToPublicDate":"2022-11-23T06:45:22","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Hawaiian waterbird movement across a developed landscape","docAbstract":"

A key component for biologists managing mobile species is understanding where and when a species occurs at different locations and scaling management to fit the spatial and temporal patterns of movement. We established an automated radio-telemetry tracking network to document multi-year movement in 2016–2018 of 3 endangered waterbirds among wetlands on Oʻahu, Hawaiʻi, USA: ʻalae ʻula or Hawaiian gallinule (gallinule; Gallinula galeata sandvicensis), ʻalae keʻokeʻo or Hawaiian coot (coot; Fulica alai), and aeʻo or Hawaiian stilt (stilt; Himantopus mexicanus knudseni), each with different ecological requirements. There were marked differences in the movement propensity of the species, with no movement among sites detected in gallinules, 31% of coots moving among wetlands, and very high levels of daily movement in stilts. A network analysis revealed strong evidence for fidelity among individual stilts to specific wetlands, indicating different groups of wetlands supported different birds. There was also strong evidence for patterns in daily and seasonal movement patterns of stilts. Our work indicates the importance of each wetland to the waterbirds they support, as each individual had strong fidelity to a single wetland. In addition, for Hawaiian coots and stilts, which were documented moving among multiple wetlands, a network of wetlands may be key for long-term persistence of these endangered species, and coordinated regional management of waterbirds as a shared resource could provide greater benefits to waterbirds than independent management of each wetland.

","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.22336","usgsCitation":"Paxton, E.H., Paxton, K.L., Kawasaki, M., Gorresen, P., van Rees, C.B., and Underwood, J., 2023, Hawaiian waterbird movement across a developed landscape: Journal of Wildlife Management, v. 87, no. 1, e22336, 29 p., https://doi.org/10.1002/jwmg.22336.","productDescription":"e22336, 29 p.","ipdsId":"IP-137941","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":435555,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Q8FE9Q","text":"USGS data release","linkHelpText":"O'ahu waterbird movement from 2016 to 2018"},{"id":413095,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Oahu","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -158.34887466241196,\n 21.70200490535362\n ],\n [\n -158.33240216576903,\n 21.421142210553228\n ],\n [\n -158.14022303826806,\n 21.23701140969804\n ],\n [\n -157.79979144098067,\n 21.160222194735198\n ],\n [\n -157.58015815240813,\n 21.249805729020665\n ],\n [\n -157.76959186380196,\n 21.5999359931226\n ],\n [\n -157.9617709913028,\n 21.81419717471141\n ],\n [\n -158.34887466241196,\n 21.70200490535362\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"87","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Paxton, Eben H. 0000-0001-5578-7689","orcid":"https://orcid.org/0000-0001-5578-7689","contributorId":19640,"corporation":false,"usgs":true,"family":"Paxton","given":"Eben","email":"","middleInitial":"H.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":864310,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Paxton, Kristina L. 0000-0003-2321-5090","orcid":"https://orcid.org/0000-0003-2321-5090","contributorId":41917,"corporation":false,"usgs":false,"family":"Paxton","given":"Kristina","email":"","middleInitial":"L.","affiliations":[{"id":12981,"text":"Department of Biological Sciences, University of Southern Mississippi","active":true,"usgs":false},{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":864311,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kawasaki, Martha","contributorId":222802,"corporation":false,"usgs":false,"family":"Kawasaki","given":"Martha","email":"","affiliations":[{"id":37485,"text":"University of Hawai‘i - Hilo","active":true,"usgs":false}],"preferred":false,"id":864312,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gorresen, P. Marcos 0000-0002-0707-9212","orcid":"https://orcid.org/0000-0002-0707-9212","contributorId":196628,"corporation":false,"usgs":false,"family":"Gorresen","given":"P. Marcos","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":864313,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"van Rees, Charles B.","contributorId":198604,"corporation":false,"usgs":false,"family":"van Rees","given":"Charles","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":864314,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Underwood, Jared G.","contributorId":139332,"corporation":false,"usgs":false,"family":"Underwood","given":"Jared G.","affiliations":[],"preferred":false,"id":864315,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70240255,"text":"70240255 - 2023 - Evaluations of Lagrangian egg drift models: From a laboratory flume to large channelized rivers","interactions":[],"lastModifiedDate":"2023-02-02T16:20:30.401536","indexId":"70240255","displayToPublicDate":"2022-11-18T08:17:43","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Evaluations of Lagrangian egg drift models: From a laboratory flume to large channelized rivers","docAbstract":"

To help better interpret computational models in predicting drift of carp eggs in rivers, we present a series of model assessments for the longitudinal egg dispersion. Two three-dimensional Lagrangian particle tracking models, SDrift and FluEgg, are evaluated in a series of channels with increasing complexity. The model evaluation demonstrates that both models are able to accommodate channel complexity and provide a wide range of dispersion coefficients: Kl=0(1 − 100)Hu∗ with H being water depth and u∗ being shear velocity. In a straight channel with Kl=0(1)Hu∗ SDrift predicts weaker longitudinal dispersion than FluEgg in the early stage as a result of weak vertical mixing associated with smooth wall turbulence. With sufficient time, SDrift and FluEgg predict similar egg dispersion, accounting for the differential advection due to the vertical velocity profile. In an idealized curved channel with Kl=0(10)Hu∗, dispersion is driven by both vertical and transverse velocity profiles. SDrift yields slightly larger dispersion coefficients than FluEgg. In a real river with channel-training structures and having Kl=0(100)Hu∗ SDrift predicts a stronger longitudinal dispersion than FluEgg due to substantial local turbulent eddies and velocity gradients. To summarize, FluEgg shows good performance in capturing dispersion due to vertical velocity profiles and cross-channel velocity gradients. SDrift shows excellent model capabilities of revealing various dispersion mechanisms in addition to the vertical and cross-channel velocity variations. They include the initial turbulent diffusion stage with growing dispersion coefficients and strong dispersion due to in-stream hydraulic structures and localized turbulence.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2022.110200","usgsCitation":"Li, G., Elliott, C.M., Call, B., Chapman, D., Jacobson, R.B., and Wang, B., 2023, Evaluations of Lagrangian egg drift models: From a laboratory flume to large channelized rivers: Ecological Modelling, v. 475, 110200, 11 p., https://doi.org/10.1016/j.ecolmodel.2022.110200.","productDescription":"110200, 11 p.","ipdsId":"IP-144141","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":412623,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","city":"Lexington","otherGeospatial":"Missouri River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -93.87382488800966,\n 39.22446045728665\n ],\n [\n -93.87382488800966,\n 39.18910122319653\n ],\n [\n -93.76470370918322,\n 39.18910122319653\n ],\n [\n -93.76470370918322,\n 39.22446045728665\n ],\n [\n -93.87382488800966,\n 39.22446045728665\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"475","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Li, Geng","contributorId":298636,"corporation":false,"usgs":false,"family":"Li","given":"Geng","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":863099,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elliott, Caroline M. 0000-0002-9190-7462 celliott@usgs.gov","orcid":"https://orcid.org/0000-0002-9190-7462","contributorId":2380,"corporation":false,"usgs":true,"family":"Elliott","given":"Caroline","email":"celliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":863100,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Call, Bruce 0000-0001-9064-2231","orcid":"https://orcid.org/0000-0001-9064-2231","contributorId":217707,"corporation":false,"usgs":true,"family":"Call","given":"Bruce","email":"","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":863101,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":863102,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jacobson, Robert B. 0000-0002-8368-2064 rjacobson@usgs.gov","orcid":"https://orcid.org/0000-0002-8368-2064","contributorId":1289,"corporation":false,"usgs":true,"family":"Jacobson","given":"Robert","email":"rjacobson@usgs.gov","middleInitial":"B.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":863103,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wang, Bin","contributorId":298637,"corporation":false,"usgs":false,"family":"Wang","given":"Bin","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":863104,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70239408,"text":"70239408 - 2023 - Life-cycle model reveals sensitive life stages and evaluates recovery options for a dwindling Pacific salmon population","interactions":[],"lastModifiedDate":"2023-03-01T17:09:22.001565","indexId":"70239408","displayToPublicDate":"2022-11-15T06:51:44","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Life-cycle model reveals sensitive life stages and evaluates recovery options for a dwindling Pacific salmon population","docAbstract":"

Population models, using empirical survival rates estimates for different life stages, can help managers explore whether various management options could stabilize a declining population or restore it to former levels of abundance. Here we used two decades of data on five life stages of the Cedar River, USA Sockeye Salmon, Oncorhynchus nerka, population to create and parameterize a life-cycle model. This formerly large but unproductive population is now in steep decline, despite hatchery enhancement. We gathered population-specific data on survival during five stages: 1) egg-to-fry, 2) fry-to-presmolt, 3) presmolt-to-adult return from the ocean, 4) adult en route from the ocean to the spawning grounds, and 5) reproduction. We ground-truthed the model to ensure its fit to the data, and then we modified survival and other parameters during various stages to examine future scenarios. Our analyses revealed that low survival of juveniles in Lake Washington (stage 2: averaging only 3% over the last 20 years), survival of adults returning to fresh water to spawn (stage 4), and survival of adults on spawning grounds to reproduce (stage 5) are likely limiting factors. Combined increases in these stages and others (specifically, the proportion of fish taken into the hatchery to be spawned) might also recover the population. As in other integrated hatchery populations, managers must weigh options relating to balancing the fraction of natural- and hatchery-origin fish, and our results showed that increasing the fraction of fish taken into the hatchery alone will not recover the population. Our model brings together population-specific data to help managers weigh conservation strategies and understand which stages and habitats are most limiting and how much survival must increase to achieve recovery targets. By extension, our analyses also reveal the utility of such models in other cases where stage-specific data are available.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10859","usgsCitation":"Kendall, N.W., Unrein, J.R., Volk, C., Beauchamp, D., Fresh, K.L., and Quinn, T.P., 2023, Life-cycle model reveals sensitive life stages and evaluates recovery options for a dwindling Pacific salmon population: North American Journal of Fisheries Management, v. 43, no. 1, p. 203-230, https://doi.org/10.1002/nafm.10859.","productDescription":"28 p.","startPage":"203","endPage":"230","ipdsId":"IP-137770","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":467133,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/nafm.10859","text":"External Repository"},{"id":411778,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-11-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Kendall, Neala W.","contributorId":288624,"corporation":false,"usgs":false,"family":"Kendall","given":"Neala","email":"","middleInitial":"W.","affiliations":[{"id":61815,"text":"wafg","active":true,"usgs":false}],"preferred":false,"id":861483,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Unrein, Julia R.","contributorId":172777,"corporation":false,"usgs":false,"family":"Unrein","given":"Julia","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":861484,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Volk, Carol","contributorId":300802,"corporation":false,"usgs":false,"family":"Volk","given":"Carol","affiliations":[{"id":35354,"text":"Seattle Public Utilities","active":true,"usgs":false}],"preferred":false,"id":861485,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beauchamp, David 0000-0002-3592-8381","orcid":"https://orcid.org/0000-0002-3592-8381","contributorId":217816,"corporation":false,"usgs":true,"family":"Beauchamp","given":"David","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":861486,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fresh, Kurt L.","contributorId":98597,"corporation":false,"usgs":false,"family":"Fresh","given":"Kurt","email":"","middleInitial":"L.","affiliations":[{"id":12448,"text":"U.S. National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":861487,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Quinn, Thomas P.","contributorId":167272,"corporation":false,"usgs":false,"family":"Quinn","given":"Thomas","email":"","middleInitial":"P.","affiliations":[{"id":24671,"text":"School of Aquatic and Fsiery Sciences, UW, Box 355020, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":861488,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70238623,"text":"70238623 - 2023 - Habitat associations of riverine fishes among rocky shoals","interactions":[],"lastModifiedDate":"2023-03-15T14:29:14.633881","indexId":"70238623","displayToPublicDate":"2022-11-14T07:09:41","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Habitat associations of riverine fishes among rocky shoals","docAbstract":"

Understanding species' associations with physical habitat conditions is a fundamental goal of ecology. For organisms that occupy lotic ecosystems, relationships to streamflow are of particular importance, but these associations are unstudied for most species. We tested the predictability of fish–microhabitat relationships in river shoals (shallow, rocky areas with relatively swift water flow) using a large data set from the Conasauga River in Georgia, USA. Our objective was to assess the consistency of species-specific relationships with flow-dependent variables (depth, velocity, Reynolds number and Froude number) while accounting for other microhabitat variables (e.g. vegetation). We used data from 8285 seine-sets collected during late summer or autumn at 26 sites over 12 years to relate occurrence and counts of 22 fish species to habitat variables using generalised linear multiple regression models. Results showed that microhabitat models explained a substantial amount of the variation in counts for some species, although other species were poorly predicted. We classified 16 species as velocity specialists and nine species as depth specialists, with six species specialised for depth and velocity and three species classified as depth and velocity generalists. The variability in habitat associations that we observed suggests that species will be unevenly affected by anthropogenic activities that alter flows.

","language":"English","publisher":"Wiley","doi":"10.1111/eff.12690","usgsCitation":"Baynes, A.Y., Freeman, M., McKay, S.K., and Wenger, S., 2023, Habitat associations of riverine fishes among rocky shoals: Ecology of Freshwater Fish, v. 32, no. 2, p. 336-347, https://doi.org/10.1111/eff.12690.","productDescription":"10 p.","startPage":"336","endPage":"347","ipdsId":"IP-144264","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":445253,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eff.12690","text":"Publisher Index Page"},{"id":409984,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","otherGeospatial":"Conasauga River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -85.05244590331915,\n 34.995585633321085\n ],\n [\n -85.05244590331915,\n 34.557353805927164\n ],\n [\n -84.68480239587811,\n 34.557353805927164\n ],\n [\n -84.68480239587811,\n 34.995585633321085\n ],\n [\n -85.05244590331915,\n 34.995585633321085\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"32","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Baynes, Anna Y.","contributorId":299585,"corporation":false,"usgs":false,"family":"Baynes","given":"Anna","email":"","middleInitial":"Y.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":858134,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeman, Mary 0000-0001-7615-6923 mcfreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-7615-6923","contributorId":3528,"corporation":false,"usgs":true,"family":"Freeman","given":"Mary","email":"mcfreeman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":858135,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKay, S. Kyle","contributorId":169086,"corporation":false,"usgs":false,"family":"McKay","given":"S.","email":"","middleInitial":"Kyle","affiliations":[],"preferred":false,"id":858136,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wenger, Seth J.","contributorId":177838,"corporation":false,"usgs":false,"family":"Wenger","given":"Seth J.","affiliations":[],"preferred":false,"id":858137,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70238547,"text":"70238547 - 2023 - High resolution spatiotemporal patterns of flow at the landscape scale in montane non-perennial streams","interactions":[],"lastModifiedDate":"2023-02-02T17:47:42.428852","indexId":"70238547","displayToPublicDate":"2022-11-14T06:43:34","publicationYear":"2023","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":"High resolution spatiotemporal patterns of flow at the landscape scale in montane non-perennial streams","docAbstract":"

Intermittent and ephemeral streams in dryland environments support diverse assemblages of aquatic and terrestrial life. Understanding when and where water flows provide insights into the availability of water, its response to external controlling factors, and potential sensitivity to climate change and a host of human activities. Knowledge regarding the timing of drying/wetting cycles can also be useful to map critical habitats for species and ecosystems that rely on these temporary water sources. However, identifying the locations and monitoring the timing of streamflow and channel sediment moisture remains a challenging endeavor. In this paper, we analyzed daily conductivity from 37 sensors distributed along 10 streams across an arid mountain front in Arizona (United States) to assess spatiotemporal patterns in flow permanence, defined as the timing and extent of water in streams. Conductivity sensors provide information on surface flow and sediment moisture, supporting a stream classification based on seasonal flow dynamics. Our results provide insight into flow responses to seasonal rainfall, highlighting stream reaches very reactive to rainfall versus those demonstrating more stable streamflow. The strength of stream responses to precipitation are explored in the context of surficial geology. In summary, conductivity data can be used to map potential stream habitat for water-dependent species in both space and time, while also providing the basis upon which sensitivity to ongoing climate change can be evaluated.

","language":"English","publisher":"Wiley","doi":"10.1002/rra.4076","usgsCitation":"Sabathier, R., Singer, M.B., Stella, J., Roberts, D.A., Caylor, K.K., Jaeger, K.L., and Olden, J., 2023, High resolution spatiotemporal patterns of flow at the landscape scale in montane non-perennial streams: River Research and Applications, v. 39, no. 2, p. 225-240, https://doi.org/10.1002/rra.4076.","productDescription":"16 p.","startPage":"225","endPage":"240","ipdsId":"IP-143158","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":445255,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.4076","text":"Publisher Index Page"},{"id":409785,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Huachuca Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.40493965719584,\n 31.547876369215373\n ],\n [\n -110.40493965719584,\n 31.33957123936571\n ],\n [\n -110.21158797775463,\n 31.33957123936571\n ],\n [\n -110.21158797775463,\n 31.547876369215373\n ],\n [\n -110.40493965719584,\n 31.547876369215373\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"39","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Sabathier, Romy 0000-0001-9401-7871","orcid":"https://orcid.org/0000-0001-9401-7871","contributorId":299448,"corporation":false,"usgs":false,"family":"Sabathier","given":"Romy","email":"","affiliations":[{"id":17940,"text":"Cardiff University","active":true,"usgs":false}],"preferred":false,"id":857826,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Singer, Michael Bliss 0000-0002-6899-2224","orcid":"https://orcid.org/0000-0002-6899-2224","contributorId":299449,"corporation":false,"usgs":false,"family":"Singer","given":"Michael","email":"","middleInitial":"Bliss","affiliations":[{"id":17940,"text":"Cardiff University","active":true,"usgs":false}],"preferred":false,"id":857827,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stella, John C","contributorId":149423,"corporation":false,"usgs":false,"family":"Stella","given":"John C","affiliations":[{"id":17732,"text":"Professor, Dept of Forest & Natural Resources Mgmt, SUNY at ESF","active":true,"usgs":false}],"preferred":false,"id":857828,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roberts, Dar A.","contributorId":100503,"corporation":false,"usgs":false,"family":"Roberts","given":"Dar","email":"","middleInitial":"A.","affiliations":[{"id":12804,"text":"Univ. of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":857829,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Caylor, Kelly K.","contributorId":245242,"corporation":false,"usgs":false,"family":"Caylor","given":"Kelly","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":857830,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jaeger, Kristin L. 0000-0002-1209-8506","orcid":"https://orcid.org/0000-0002-1209-8506","contributorId":206935,"corporation":false,"usgs":true,"family":"Jaeger","given":"Kristin","middleInitial":"L.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":857831,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Olden, Julian 0000-0003-2143-1187","orcid":"https://orcid.org/0000-0003-2143-1187","contributorId":296007,"corporation":false,"usgs":false,"family":"Olden","given":"Julian","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":857832,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70238543,"text":"70238543 - 2023 - Estrogenic activity response to best management practice implementation in agricultural watersheds in the Chesapeake Bay watershed","interactions":[],"lastModifiedDate":"2022-11-29T13:21:58.482355","indexId":"70238543","displayToPublicDate":"2022-11-13T07:19:04","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Estrogenic activity response to best management practice implementation in agricultural watersheds in the Chesapeake Bay watershed","docAbstract":"

Best management practices (BMPs) have been predominantly used throughout the Chesapeake Bay watershed (CBW) to reduce nutrients and sediments entering streams, rivers, and the bay. These practices have been successful in reducing loads entering the estuary and have shown the potential to reduce other contaminants (pesticides, hormonally active compounds, pathogens) in localized studies and modeled load estimates. However, further understanding of relationships between BMPs and non-nutrient contaminant reductions at regional scales using sampled data would be beneficial. Total estrogenic activity was measured in surface water samples collected over a decade (2008–2018) in 211 undeveloped NHDPlus V2.1 watersheds within the CBW. Bayesian hierarchical modeling between total estrogenic activity and landscape predictors including landcover, runoff, BMP intensity, and a BMP*agriculture intensity interaction term indicates a 96% posterior probability that BMP intensity on agricultural land is reducing total estrogenic activity. Additionally, watersheds with high agriculture and low BMPs had a 49% posterior probability of exceeding an effects-based threshold in aquatic organisms of 1 ng/L but only a 1% posterior probability of exceeding this threshold in high-agriculture, high-BMP watersheds.

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dynamics","interactions":[],"lastModifiedDate":"2023-04-11T16:54:56.776638","indexId":"70238554","displayToPublicDate":"2022-11-11T06:51:55","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1447,"text":"Ecohydrology","active":true,"publicationSubtype":{"id":10}},"title":"Ecologically relevant moisture and temperature metrics for assessing dryland ecosystem dynamics","docAbstract":"

In drylands, water-limited regions that cover ~40% of the global land surface, ecosystems are primarily controlled by access to soil moisture and exposure to simultaneously hot and dry conditions. Quantifying ecologically relevant environmental metrics is difficult in drylands because the response of vegetation to moisture and temperature conditions is not easily explained solely by climate-based metrics. To address this knowledge gap, we developed and examined 27 climate and ecological drought metrics across dryland areas of the western U.S. Included in the 27 metrics is a suite of 19 largely new “ecological drought metrics” that are designed to quantify multiple aspects of environmental limitation in drylands, including overall growing conditions, seasonal fluctuations, seasonal moisture timing, exposure to extreme drought, and recruitment potential for perennial plants. To quantify these metrics, we simulated water balance pools and fluxes of daily soil moisture at multiple depths with historical weather from 1970-2010 using the SOILWAT2 ecosystem water balance model. We assessed the relationships among these metrics and their spatial and temporal patterns. We found that the inclusion of ecological drought metrics substantially increased the dimensionality of the climate metrics dataset; the number of independent variables needed to explain 90% of the variance in the dataset increased with the addition of ecological drought metrics. Spatial patterns in overall growing conditions represented well-known differences among ecoregions, for example high temperatures and low precipitation in the southwest and cool temperatures and greater precipitation in the northeast. Seasonal fluctuation in soil water availability (SWA) was greatest in the southwest (Mojave Desert) while fluctuation in climatic water deficit (CWD) was greatest in the northwest (northern Great Basin and Columbia Plateau). Seasonal timing of moisture also differed among metrics; the timing of wet degree days (WDD), SWA and CWD were only weakly related to seasonal timing of precipitation. Plant recruitment metrics varied strongly across western drylands. In the Great Plains, recruitment events occurred more frequently and lasted longer than in the intermountain regions, where recruitment events were comparatively rare and short. These ecological drought metrics provide new insight into patterns of soil moisture and temperature that shape the structure and function of dryland ecosystems. The metrics will be useful for assessing the potential impact of climate change on dryland ecosystems and developing adaptive resource management strategies to sustain dryland ecosystem services in a changing world.

","language":"English","publisher":"Wiley","doi":"10.1002/eco.2509","usgsCitation":"Chenoweth, D.A., Schlaepfer, D.R., Chambers, J., Brown, J.L., Urza, A., Hanberry, B., Board, D., Crist, M., and Bradford, J., 2023, Ecologically relevant moisture and temperature metrics for assessing dryland ecosystem dynamics: Ecohydrology, v. 16, no. 3, e2509, https://doi.org/10.1002/eco.2509.","productDescription":"e2509","ipdsId":"IP-144651","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":445266,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eco.2509","text":"Publisher Index Page"},{"id":409787,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-11-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Chenoweth, D. A.","contributorId":299480,"corporation":false,"usgs":false,"family":"Chenoweth","given":"D.","email":"","middleInitial":"A.","affiliations":[{"id":64858,"text":"SBSC?","active":true,"usgs":false}],"preferred":false,"id":857873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schlaepfer, Daniel Rodolphe 0000-0001-9973-2065","orcid":"https://orcid.org/0000-0001-9973-2065","contributorId":225569,"corporation":false,"usgs":true,"family":"Schlaepfer","given":"Daniel","email":"","middleInitial":"Rodolphe","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":857874,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chambers, J. C.","contributorId":299481,"corporation":false,"usgs":false,"family":"Chambers","given":"J. C.","affiliations":[{"id":64861,"text":"USDA Forest Service, Rocky Mountain Research Station, Reno, Nevada","active":true,"usgs":false}],"preferred":false,"id":857875,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, J. L.","contributorId":299482,"corporation":false,"usgs":false,"family":"Brown","given":"J.","email":"","middleInitial":"L.","affiliations":[{"id":64861,"text":"USDA Forest Service, Rocky Mountain Research Station, Reno, Nevada","active":true,"usgs":false}],"preferred":false,"id":857876,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Urza, A. K.","contributorId":299483,"corporation":false,"usgs":false,"family":"Urza","given":"A. K.","affiliations":[{"id":64861,"text":"USDA Forest Service, Rocky Mountain Research Station, Reno, Nevada","active":true,"usgs":false}],"preferred":false,"id":857877,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hanberry, Brice","contributorId":219278,"corporation":false,"usgs":false,"family":"Hanberry","given":"Brice","affiliations":[{"id":39985,"text":"USDA Forest Service, Rapid City, SD","active":true,"usgs":false}],"preferred":false,"id":857878,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Board, D.","contributorId":299484,"corporation":false,"usgs":false,"family":"Board","given":"D.","email":"","affiliations":[{"id":64861,"text":"USDA Forest Service, Rocky Mountain Research Station, Reno, Nevada","active":true,"usgs":false}],"preferred":false,"id":857879,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Crist, M.","contributorId":299485,"corporation":false,"usgs":false,"family":"Crist","given":"M.","affiliations":[{"id":64862,"text":"USDOI Bureau of Land Management, National Interagency Fire Center, Boise, Idaho","active":true,"usgs":false}],"preferred":false,"id":857880,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":857881,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70239403,"text":"70239403 - 2023 - Drought related changes in water quality surpass effects of experimental flows on trout growth downstream of Lake Powell reservoir","interactions":[],"lastModifiedDate":"2023-03-01T17:10:22.533001","indexId":"70239403","displayToPublicDate":"2022-11-08T07:20:10","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Drought related changes in water quality surpass effects of experimental flows on trout growth downstream of Lake Powell reservoir","docAbstract":"
Flows released from reservoirs are often modified to mitigate the negative ecosystem effects of dams. We estimated the effects of two experimental flows, fall-timed floods and elimination of sub-daily variation in flows on weekends, on growth rates of rainbow trout (Oncorhynchus mykiss) in the Colorado River downstream from Glen Canyon Dam. Experimental flow effects were compared to effects of water temperature, phosphorous concentration, solar insolation, and competition, by fitting mixed effect von Bertalanffy models to ~ 10,000 observations of growth from mark-recapture between 2012 and 2021. There was strong support for models predicting faster growth during intervals with higher solar insolation, and lower water temperature and competition for prey. Effects of phosphorus and experimental flows were small and uncertain. Drought-related increases in dam release temperatures during summer and fall were predicted to result in severe weight loss for larger trout and could eventually threaten the viability of the population and the fishery it supports. The effects of water temperature and competition on fish growth substantially exceeded the effects of controlled floods and steadier flows.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2022-0142","usgsCitation":"Korman, J., Deemer, B., Yackulic, C., Kennedy, T., and Giardina, M.A., 2023, Drought related changes in water quality surpass effects of experimental flows on trout growth downstream of Lake Powell reservoir: Canadian Journal of Fisheries and Aquatic Sciences, v. 80, no. 3, p. 424-438, https://doi.org/10.1139/cjfas-2022-0142.","productDescription":"15 p.","startPage":"424","endPage":"438","ipdsId":"IP-141100","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":435563,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XU3SQP","text":"USGS data release","linkHelpText":"Rainbow trout growth data and growth covariate data from Glen Canyon, Colorado River, Arizona, 2012-2021"},{"id":411782,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Utah","otherGeospatial":"Lake Powell reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.7996180959762,\n 37.635491823116155\n ],\n [\n -111.7996180959762,\n 36.615463907400354\n ],\n [\n -110.6849791564707,\n 36.615463907400354\n ],\n [\n -110.6849791564707,\n 37.635491823116155\n ],\n [\n -111.7996180959762,\n 37.635491823116155\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"80","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Korman, Josh","contributorId":139960,"corporation":false,"usgs":false,"family":"Korman","given":"Josh","email":"","affiliations":[{"id":13333,"text":"Ecometric Research Inc.","active":true,"usgs":false}],"preferred":false,"id":861468,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deemer, Bridget R. 0000-0002-5845-1002 bdeemer@usgs.gov","orcid":"https://orcid.org/0000-0002-5845-1002","contributorId":198160,"corporation":false,"usgs":true,"family":"Deemer","given":"Bridget","email":"bdeemer@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":861469,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":861470,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kennedy, Theodore 0000-0003-3477-3629","orcid":"https://orcid.org/0000-0003-3477-3629","contributorId":221741,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":861471,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Giardina, Mariah Aurelia 0000-0001-6753-0450","orcid":"https://orcid.org/0000-0001-6753-0450","contributorId":300798,"corporation":false,"usgs":true,"family":"Giardina","given":"Mariah","email":"","middleInitial":"Aurelia","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":861472,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70240155,"text":"70240155 - 2023 - Integrated assessment of chemical and biological recovery after diversion and treatment of acid mine drainage in a Rocky Mountain stream","interactions":[],"lastModifiedDate":"2023-01-31T13:09:43.44887","indexId":"70240155","displayToPublicDate":"2022-11-08T07:05:55","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Integrated assessment of chemical and biological recovery after diversion and treatment of acid mine drainage in a Rocky Mountain stream","docAbstract":"

Responses of stream ecosystems to gradual reductions in metal loading following remediation or restoration activities have been well documented in the literature. However, much less is known about how these systems respond to the immediate or more rapid elimination of metal inputs. Construction of a water treatment plant on the North Fork of Clear Creek (NFCC; CO, USA), a US Environmental Protection Agency Superfund site, captured, diverted, and treated the two major point-source inputs of acid mine drainage (AMD) and provided an opportunity to investigate immediate improvements in water quality. We conducted a 9-year study that included intensive within- and among-year monitoring of receiving-stream chemistry and benthic communities before and after construction of the treatment plant. Results showed a 64%–86% decrease in metal concentrations within months at the most contaminated sites. Benthic communities responded with increased abundance and diversity, but downstream stations remained impaired relative to reference conditions, with significantly lower taxonomic richness represented by a few dominant taxa (i.e., Baetis sp., Hydropsyche sp., Simulium sp., Orthocladiinae). Elevated metal concentrations from apparent residual sources, and relatively high conductivity from contributing major ions not removed during the treatment process, are likely limiting downstream recovery. Our study demonstrates that direct AMD treatment can rapidly improve water quality and benefit aquatic life, but effectiveness is limited, in part, to the extent that inputs of metals are captured and treated. Consideration should also be given to the effects of elevated major ion concentrations from the treated effluent not removed during the lime treatment process. Continued chemical and biological monitoring will be needed to quantify the NFCC recovery trajectory and to inform future remediation strategies. 

","language":"English","publisher":"Wiley","doi":"10.1002/etc.5515","usgsCitation":"Kotalik, C.J., Meyer, J.S., Cadmus, P., Ranville, J.F., and Clements, W.H., 2023, Integrated assessment of chemical and biological recovery after diversion and treatment of acid mine drainage in a Rocky Mountain stream: Environmental Toxicology and Chemistry, v. 42, no. 2, p. 512-524, https://doi.org/10.1002/etc.5515.","productDescription":"13 p.","startPage":"512","endPage":"524","ipdsId":"IP-142082","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":445271,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.5515","text":"Publisher Index Page"},{"id":435564,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RQVHRO","text":"USGS data release","linkHelpText":"Stream water chemistry and benthic macroinvertebrate data from the North Fork Clear Creek and Clear Creek, Colorado, USA, from 2011-2019, before and after acid mine drainage treatment"},{"id":412494,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.66319931456442,\n 39.91001938862544\n ],\n [\n -105.66319931456442,\n 39.61244722626233\n ],\n [\n -105.21020565688403,\n 39.61244722626233\n ],\n [\n -105.21020565688403,\n 39.91001938862544\n ],\n [\n -105.66319931456442,\n 39.91001938862544\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"42","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-11-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Kotalik, Christopher James 0000-0001-6739-6036","orcid":"https://orcid.org/0000-0001-6739-6036","contributorId":301847,"corporation":false,"usgs":true,"family":"Kotalik","given":"Christopher","email":"","middleInitial":"James","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":862794,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meyer, Joseph S.","contributorId":173130,"corporation":false,"usgs":false,"family":"Meyer","given":"Joseph","email":"","middleInitial":"S.","affiliations":[{"id":27156,"text":"Colorado School of Mines/ARCADIS Inc.","active":true,"usgs":false}],"preferred":false,"id":862795,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cadmus, Pete","contributorId":173609,"corporation":false,"usgs":false,"family":"Cadmus","given":"Pete","email":"","affiliations":[{"id":27254,"text":"Colorado Parks and Wildlife; Colorado State University","active":true,"usgs":false}],"preferred":false,"id":862796,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ranville, James F.","contributorId":141192,"corporation":false,"usgs":false,"family":"Ranville","given":"James","email":"","middleInitial":"F.","affiliations":[{"id":13709,"text":"Colorrado School of Mines, Golden","active":true,"usgs":false}],"preferred":false,"id":862797,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clements, William H.","contributorId":178714,"corporation":false,"usgs":false,"family":"Clements","given":"William","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":862798,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70245594,"text":"70245594 - 2023 - Spatial patterns and seasonal timing of increasing riverine specific conductance from 1998 to 2018 suggest legacy contamination in the Delaware River Basin","interactions":[],"lastModifiedDate":"2023-06-26T11:44:09.312936","indexId":"70245594","displayToPublicDate":"2022-11-08T06:39:41","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Spatial patterns and seasonal timing of increasing riverine specific conductance from 1998 to 2018 suggest legacy contamination in the Delaware River Basin","docAbstract":"

Increasing salinization of freshwater threatens water supplies that support a range of human and ecological uses. The latest assessments of Delaware River Basin (DRB) surface-water-quality changes indicate widespread salinization has occurred in recent decades, which may lead to meaningful degradation in water quality. To better understand how and when salinity transport occurs and implications for DRB streams, this study: 1) explores the variability of specific conductance (SC) trends spatially and seasonally from 1998 to 2018, and 2) investigates how trends relate to streamflow, land disturbance, and impervious surface area to better understand regional salinization drivers. We find widespread increases in SC across the DRB, with several sites in the lower basin exceeding thresholds for aquatic life and experiencing increasing frequencies of exceedance over time. In general, the greatest basin wide increases in SC occurred during low flow conditions, indicating that a legacy component resulting from subsurface retention and transport processes has driven observed changes in riverine SC. For a subset of sites in the lower basin, where impervious area and cumulative land disturbance are higher, the greatest SC increases occurred during high flow conditions in winter months. Given the patterns of SC and watershed changes across the basin, as well as strong relationships between SC trends and sodium and chloride trends, deicing salt appears to be a likely driver of observed SC change. Even if deicing salt application plateaus or declines in coming years, the continued release and transport of the legacy subsurface component may still contribute to elevated DRB riverine SC.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2022.159691","usgsCitation":"Rumsey, C., Hammond, J., Murphy, J.C., Shoda, M.E., and Soroka, A.M., 2023, Spatial patterns and seasonal timing of increasing riverine specific conductance from 1998 to 2018 suggest legacy contamination in the Delaware River Basin: Science of the Total Environment, v. 858, no. Part 1, 159691, 13 p., https://doi.org/10.1016/j.scitotenv.2022.159691.","productDescription":"159691, 13 p.","ipdsId":"IP-140126","costCenters":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":445274,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2022.159691","text":"Publisher Index Page"},{"id":418452,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Delaware River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.67378246807358,\n 42.61393642387205\n ],\n [\n -76.67378246807358,\n 38.063286063929894\n ],\n [\n -74.69709151035819,\n 38.063286063929894\n ],\n [\n -74.69709151035819,\n 42.61393642387205\n ],\n [\n -76.67378246807358,\n 42.61393642387205\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"858","issue":"Part 1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rumsey, Christine 0000-0001-7536-750X crumsey@usgs.gov","orcid":"https://orcid.org/0000-0001-7536-750X","contributorId":146240,"corporation":false,"usgs":true,"family":"Rumsey","given":"Christine","email":"crumsey@usgs.gov","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":876187,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hammond, John C. 0000-0002-4935-0736","orcid":"https://orcid.org/0000-0002-4935-0736","contributorId":223108,"corporation":false,"usgs":true,"family":"Hammond","given":"John C.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":876188,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, Jennifer C. 0000-0002-0881-0919 jmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-0881-0919","contributorId":4281,"corporation":false,"usgs":true,"family":"Murphy","given":"Jennifer","email":"jmurphy@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":876189,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shoda, Megan E. 0000-0002-5343-9717 meshoda@usgs.gov","orcid":"https://orcid.org/0000-0002-5343-9717","contributorId":4352,"corporation":false,"usgs":true,"family":"Shoda","given":"Megan","email":"meshoda@usgs.gov","middleInitial":"E.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":876190,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Soroka, Alexander M. 0000-0002-8002-5229","orcid":"https://orcid.org/0000-0002-8002-5229","contributorId":201664,"corporation":false,"usgs":true,"family":"Soroka","given":"Alexander","email":"","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":876191,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70238075,"text":"70238075 - 2023 - A size-based stock assessment model for invasive blue catfish in a Chesapeake Bay sub-estuary during 2001–2016","interactions":[],"lastModifiedDate":"2023-01-19T16:57:34.401619","indexId":"70238075","displayToPublicDate":"2022-11-07T06:48:30","publicationYear":"2023","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":"A size-based stock assessment model for invasive blue catfish in a Chesapeake Bay sub-estuary during 2001–2016","docAbstract":"

Stock assessment modeling provides a means to estimate the population dynamics of invasive fishes and may do so despite data limitations. Blue catfish (Ictalurus furcatus) were introduced to the Chesapeake Bay watershed to support recreational fisheries but also consume species of conservation need and economic importance. To assess management tradeoffs, managers need to understand the current status of the population and anticipate future population abundance and trends. A Bayesian size-based stock assessment model was used to estimate blue catfish abundance, fishing mortality, and size structure over time (2001–2016) in the tidal James River. The model estimated population size increases until around 2006, with declines in total abundance after 2011 and large blue catfish (≥80 cm total length) after 2001. These first estimates of blue catfish population dynamics in the Chesapeake Bay region provide inputs for projection models to evaluate prospective management actions and identify monitoring needs.

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While the sentinel nature of freshwater systems is now well recognized, widespread integration of freshwater processes and patterns into our understanding of broader climate-driven Arctic terrestrial ecosystem change has been slow. We review the current understanding across Arctic freshwater systems of key sentinel responses to climate, which are attributes of these systems with demonstrated and sensitive responses to climate forcing. These include ice regimes, temperature and thermal structure, river baseflow, lake area and water level, permafrost-derived dissolved ions and nutrients, carbon mobilization (dissolved organic carbon, greenhouse gases, and radiocarbon), dissolved oxygen concentrations, lake trophic state, various aquatic organisms and their traits, and invasive species. For each sentinel, our objectives are to clarify linkages to climate, describe key insights already gained, and provide suggestions for future research based on current knowledge gaps. We suggest that tracking key responses in Arctic freshwater systems will expand understanding of the breadth and depth of climate-driven Arctic ecosystem changes, provide early indicators of looming, broader changes across the landscape, and improve protection of freshwater biodiversity and resources.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/as-2022-0021","usgsCitation":"Saros, J.E., Arp, C.D., Bouchard, F., Comte, J., Couture, R., Dean, J.F., Lafreniere, M., MacIntyre, S., McGowan, S., Rautio, M., Prater, C., Tank, S.E., Walvoord, M.A., Wickland, K., Antoniades, D., Ayala-Borda, P., Canario, J., Drake, T.W., Folhas, D., Hazukova, V., Kivila, H., Klanten, Y., Lamoreux, S., Laurion, I., Pilla, R.M., Vonk, J.E., Zolkos, S., and Vincent, W., 2023, Sentinel responses of Arctic freshwater systems to climate: linkages, evidence, and a roadmap for future research: Arctic Science, v. 9, no. 2, p. 356-392, https://doi.org/10.1139/as-2022-0021.","productDescription":"37 p.","startPage":"356","endPage":"392","ipdsId":"IP-142131","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":445296,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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predictors","docAbstract":"

Two radioactive elements, uranium (U) and radon (Rn), which are of potential concern in New Hampshire (NH) groundwater, are investigated. Exceedance probability maps are tools to highlight locations where the concentrations of undesirable substances in the groundwater may be elevated. Two forms of statistical analysis are used to create exceedance probability maps for U and Rn in NH groundwater. The first, Boosted Regression Tree (BRT), was selected for estimating U exceedance values. It computes exceedance values directly using the Bernoulli distribution function. The second method of statistical analysis used for Rn to determine exceedance probabilities is ordinary least squares (OLS) regression. In the process of determining exceedance probabilities for U and Rn, the utility of a new dataset is investigated. That new predictor dataset is the Multi-Order Hydrologic Position (MOHP) dataset. MOHP raster datasets have been produced nationally for the conterminous United States at a 30-m resolution. The concept behind MOHP is that, for any given point on the earth's surface, there is the potential for a longer groundwater flow path as one goes deeper beneath the land surface. MOHP predictors were tested in both models. Three MOHP predictors were found useful in the BRT model and two in the OLS model. MOHP data were found useful as predictors along with other site characteristics in predicting U and Rn exceedance probabilities in New Hampshire groundwater.

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0000-0003-1406-6054","orcid":"https://orcid.org/0000-0003-1406-6054","contributorId":298913,"corporation":false,"usgs":true,"family":"Arnold","given":"Terri","email":"","middleInitial":"L.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":856704,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hayes, Laura 0000-0002-4488-1343 lhayes@usgs.gov","orcid":"https://orcid.org/0000-0002-4488-1343","contributorId":2791,"corporation":false,"usgs":true,"family":"Hayes","given":"Laura","email":"lhayes@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":856705,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sharpe, Jennifer B. 0000-0002-5192-7848 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  1. As air temperature increases, it has been suggested that smaller individual body size may be a general response to climate warming. However, for ectotherms inhabiting cold, highly seasonal environments, warming temperatures may increase the scope for growth and result in larger body size.
  2. In a long-term study of individual brook trout Salvelinus fontinalis and brown trout Salmo trutta inhabiting a small stream network, individual lengths increased over the course of 15 years. As size-selective gains and losses to the population acted to reduce body sizes and mean body size at first tagging in the autumn (<60 mm) were not observed to change substantially over time, the increase in body size was best explained by higher individual growth rates.
  3. For brook trout, increasing water temperatures during the spring (when both trout species accomplish most of their total annual growth) was the primary driver of growth rate for juvenile fish and the environmental factor which best explained increases in individual body size over time.
  4. For brown trout, by contrast, reduction in and subsequent elimination of juvenile Atlantic salmon Salmo salar midway through the study period explained most of the increases in juvenile growth and body size.
  5. In addition to these major trends, a considerable amount of interannual variation in trout growth and body size was explained by other abiotic (stream flow) and biotic (population density) factors with the direction and magnitude of these effects differing by season, age-class and species. For example, stream flow was the dominant growth rate driver for adult fish with strong positive effects in the summer and autumn, but flow variation could not explain increases in body size as we observed no trend in flow.
  6. Overall, our work supports the general contention that for high-latitude ectotherms, increasing spring temperatures associated with a warming climate can result in increased growth and individual body size (up to a point), but context-dependent change in other factors can substantially contribute to both interannual variation and longer-term effects.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.1383","usgsCitation":"Letcher, B., Nislow, K., O'Donnell, M.J., Whiteley, A., Coombs, J., Dubreuil, T.L., and Turek, D., 2023, Identifying mechanisms underlying individual body size increases in a changing, highly seasonal environment: The growing trout of West Brook: Journal of Animal Ecology, v. 92, no. 1, p. 78-96, https://doi.org/10.1111/1365-2656.1383.","productDescription":"19 p.","startPage":"78","endPage":"96","ipdsId":"IP-141407","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":409289,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"West Brook","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -72.70541377600173,\n 42.46035598820629\n ],\n [\n -72.70541377600173,\n 42.412357521427566\n ],\n [\n -72.61908999276872,\n 42.412357521427566\n ],\n [\n -72.61908999276872,\n 42.46035598820629\n ],\n [\n -72.70541377600173,\n 42.46035598820629\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"92","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Letcher, Benjamin 0000-0003-0191-5678","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":242666,"corporation":false,"usgs":true,"family":"Letcher","given":"Benjamin","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":856862,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nislow, Keith","contributorId":245570,"corporation":false,"usgs":false,"family":"Nislow","given":"Keith","affiliations":[{"id":7134,"text":"USFS","active":true,"usgs":false}],"preferred":false,"id":856863,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O'Donnell, Matthew J. 0000-0002-9089-2377","orcid":"https://orcid.org/0000-0002-9089-2377","contributorId":295467,"corporation":false,"usgs":true,"family":"O'Donnell","given":"Matthew","middleInitial":"J.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":856864,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whiteley, Andrew R.","contributorId":286853,"corporation":false,"usgs":false,"family":"Whiteley","given":"Andrew R.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":856865,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coombs, Jason","contributorId":299021,"corporation":false,"usgs":false,"family":"Coombs","given":"Jason","affiliations":[{"id":37062,"text":"UMASS","active":true,"usgs":false}],"preferred":false,"id":856866,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dubreuil, Todd L. 0000-0003-0189-4336 tdubreuil@usgs.gov","orcid":"https://orcid.org/0000-0003-0189-4336","contributorId":5552,"corporation":false,"usgs":true,"family":"Dubreuil","given":"Todd","email":"tdubreuil@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":856867,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Turek, Daniel","contributorId":290437,"corporation":false,"usgs":false,"family":"Turek","given":"Daniel","email":"","affiliations":[{"id":62426,"text":"Dept of Math and Statistics, Williams College","active":true,"usgs":false}],"preferred":false,"id":856868,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70238884,"text":"70238884 - 2023 - Integrating principles and tools of decision science into value-driven watershed planning for compensatory mitigation","interactions":[],"lastModifiedDate":"2023-03-15T14:30:30.261238","indexId":"70238884","displayToPublicDate":"2022-10-21T07:55:06","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Integrating principles and tools of decision science into value-driven watershed planning for compensatory mitigation","docAbstract":"

Several environmental policies strive to restore impaired ecosystems and could benefit from a consistent and transparent process — co-developed with key stakeholders — to prioritize impaired ecosystems for restoration activities. The Clean Water Act, for example, establishes reallocation mechanisms to transfer ecosystem services from sites of disturbance to compensation sites to offset aquatic resource functions that are unavoidably lost through land development. However, planning for the prioritization of compensatory mitigation areas is often hampered by decision-making processes that fall into a myopic decision frame because they are not co-produced with stakeholders. In this study, we partnered with domain experts from the North Carolina Division of Mitigation Services (NCDMS) to co-develop a real-world decision framework to prioritize catchments by potential for the development of mitigation projects following principles of a structured decision-making process and knowledge co-production. Following an iterative decision analysis cycle, domain experts revised foundational components of the decision framework and progressively added complexity and realism as they gained additional insights or more information became available. Through the course of facilitated in-person and remote interactions, the co-development of a decision framework produced three main ‘breakthroughs’ from the perspective of the stakeholder group: a) recognition of the problem as a multi-objective decision driven by several values in addition to biogeophysical goals (e.g., functional uplift; restoring or enhancing lost functionality of ecosystems), b) that the decision comprises a linked and sequential planning-to-implementation process, and c) future risk associated with land-use and climate change must be considered. We also present an interactive tool for ‘on-the-fly’ assessment of alternatives and tradeoff analysis, allowing domain experts to quickly test, react to, and revise prioritization strategies. The decision framework described in this study is not limited to the prioritization of compensatory mitigation activities across North Carolina, but rather serves as a framework to prioritize a wide range of restoration, conservation, and resource allocation activities in similar environmental contexts across the nation.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2766","usgsCitation":"Sanchez Salas, G.M., Eaton, M.J., Garcia, A.M., Keisman, J.L., Ullman, K., Blackwell, J., and Meentemeyer, R.K., 2023, Integrating principles and tools of decision science into value-driven watershed planning for compensatory mitigation: Ecological Applications, v. 33, no. 2, e2766, 21 p., https://doi.org/10.1002/eap.2766.","productDescription":"e2766, 21 p.","ipdsId":"IP-131812","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":445332,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.2766","text":"Publisher Index Page"},{"id":410539,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-12-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Sanchez Salas, Georgina Maria 0000-0002-2365-6200","orcid":"https://orcid.org/0000-0002-2365-6200","contributorId":224363,"corporation":false,"usgs":true,"family":"Sanchez Salas","given":"Georgina","email":"","middleInitial":"Maria","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":859062,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eaton, Mitchell J. 0000-0001-7324-6333","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":213526,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":859063,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garcia, Ana Maria 0000-0002-5388-1281 agarcia@usgs.gov","orcid":"https://orcid.org/0000-0002-5388-1281","contributorId":2035,"corporation":false,"usgs":true,"family":"Garcia","given":"Ana","email":"agarcia@usgs.gov","middleInitial":"Maria","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":859064,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keisman, Jennifer L. 0000-0001-6808-9193","orcid":"https://orcid.org/0000-0001-6808-9193","contributorId":274827,"corporation":false,"usgs":true,"family":"Keisman","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":859065,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ullman, Kirsten","contributorId":299940,"corporation":false,"usgs":false,"family":"Ullman","given":"Kirsten","affiliations":[{"id":64984,"text":"North Carolina Department of Environmental Quality, Division of Mitigation Services","active":true,"usgs":false}],"preferred":false,"id":859066,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blackwell, James","contributorId":299941,"corporation":false,"usgs":false,"family":"Blackwell","given":"James","affiliations":[{"id":64984,"text":"North Carolina Department of Environmental Quality, Division of Mitigation Services","active":true,"usgs":false}],"preferred":false,"id":859067,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Meentemeyer, Ross K.","contributorId":179341,"corporation":false,"usgs":false,"family":"Meentemeyer","given":"Ross","email":"","middleInitial":"K.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":859068,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ]}