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Per- and polyfluoroalkyl substances (PFAS) have become an environmental issue worldwide. A first step to assessing potential adverse effects on fish populations is to determine if concentrations of concern are present in a region and if so, in which watersheds. Hence, plasma from adult smallmouth bass Micropterus dolomieu collected at 10 sites within 4 river systems in the mid-Atlantic region of the United States, from 2014 to 2019, was analyzed for 13 PFAS. These analyses were directed at better understanding the presence and associations with land use attributes in an important sportfish. Four substances, PFOS, PFDA, PFUnA, and PFDoA, were detected in every plasma sample, with PFOS having the highest concentrations. Sites with mean plasma concentrations of PFOS below 100 ng/ml had the lowest percentage of developed landcover in the upstream catchments. Sites with moderate plasma concentrations (mean PFOS concentrations between 220 and 240 ng/ml) had low (< 7.0) percentages of developed land use but high (> 30) percentages of agricultural land use. Sites with mean plasma concentrations of PFOS > 350 ng/ml had the highest percentage of developed land use and the highest number PFAS facilities that included military installations and airports. Four of the sites were part of a long-term monitoring project, and PFAS concentrations of samples collected in spring 2017, 2018, and 2019 were compared. Significant annual differences in plasma concentrations were noted that may relate to sources and climatic factors. Samples were also collected at two sites for tissue (plasma, whole blood, liver, gonad, muscle) distribution analyses with an expanded analyte list of 28 PFAS. Relative tissue distributions were not consistent even within one species of similar ages. Although the long-chained legacy PFAS were generally detected more frequently and at higher concentrations, emerging compounds such as 6:2 FTS and GEN X were detected in a variety of tissues.

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Developing a robust monitoring framework that integrates efficacy assessments of cooperative conservation and restoration actions in relation to population viability is critical for successful long-term recovery of target ecosystems and species. However, often it is difficult to quantify conservation action efficacy because of the complex, dynamic nature of ecosystem processes and practical limitations associated with assessing target species’ population dynamics. Here, we present an analytical framework that allows for quantification of conservation action efficacy using greater sage-grouse (Centrocercus urophasianus; hereafter, sage-grouse) within the Bi-State Distinct Population Segment which borders Nevada and California. This framework utilizes web-based repositories of conservation efforts carried out in sagebrush ecosystems and readily fits within contemporary sagebrush conservation design strategies. We employed a state-space model within a Bayesian framework to estimate abundance (N) as inputs for a progressive change before-after-control-impact paired series (BACIPS) design. Count data from 57 leks (monitored between 2003–2021) coupled with 85 unique actions (initiated between 2012–2019) provided clear evidence that conservation actions increased population abundance, on average, by 4.4% annually across the study area, resulting in a 37.4% cumulative increase since 2012. Population gains varied by the type of conservation action and according to the number of lag years following its implementation.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2024.08.007","usgsCitation":"Coates, P.S., Prochazka, B.G., Webster, S.C., Weise, C.L., Aldridge, C., O’Donnell, M.S., Wiechman, L.A., Doherty, K., and Tull, J.C., 2024, Cooperative conservation actions improve sage-grouse population performance within the Bi-State Distinct Population Segment: Rangeland Ecology & Management, v. 97, no. 1, p. 135-145, https://doi.org/10.1016/j.rama.2024.08.007.","productDescription":"11 p.","startPage":"135","endPage":"145","ipdsId":"IP-146505","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":466809,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rama.2024.08.007","text":"Publisher Index Page"},{"id":464340,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.04744073936212,\n 39.58975622408602\n ],\n [\n -120.04744073936212,\n 37.73670490749031\n ],\n [\n -118.51467511686786,\n 37.73670490749031\n ],\n [\n -118.51467511686786,\n 39.58975622408602\n ],\n [\n -120.04744073936212,\n 39.58975622408602\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"97","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":918999,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prochazka, Brian G. 0000-0001-7270-5550 bprochazka@usgs.gov","orcid":"https://orcid.org/0000-0001-7270-5550","contributorId":174839,"corporation":false,"usgs":true,"family":"Prochazka","given":"Brian","email":"bprochazka@usgs.gov","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":919000,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webster, Sarah C. 0000-0003-4981-2010","orcid":"https://orcid.org/0000-0003-4981-2010","contributorId":302117,"corporation":false,"usgs":true,"family":"Webster","given":"Sarah","email":"","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":919001,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weise, Cali L.","contributorId":305785,"corporation":false,"usgs":false,"family":"Weise","given":"Cali","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":919002,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":213471,"corporation":false,"usgs":false,"family":"Aldridge","given":"Cameron L.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":919003,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’Donnell, Michael S. 0000-0002-3488-003X odonnellm@usgs.gov","orcid":"https://orcid.org/0000-0002-3488-003X","contributorId":140876,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Michael","email":"odonnellm@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":919004,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wiechman, Lief A. 0000-0002-3804-4426","orcid":"https://orcid.org/0000-0002-3804-4426","contributorId":184047,"corporation":false,"usgs":true,"family":"Wiechman","given":"Lief","email":"","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":919005,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Doherty, Kevin E.","contributorId":177793,"corporation":false,"usgs":false,"family":"Doherty","given":"Kevin E.","affiliations":[],"preferred":false,"id":919006,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tull, John C. 0000-0002-0680-008X","orcid":"https://orcid.org/0000-0002-0680-008X","contributorId":201650,"corporation":false,"usgs":false,"family":"Tull","given":"John","email":"","middleInitial":"C.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":919007,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70261313,"text":"70261313 - 2024 - Self-potential tomography preconditioned by particle swarm optimization— Application to monitoring hyporheic exchange in a bedrock river","interactions":[],"lastModifiedDate":"2024-12-06T14:15:01.195444","indexId":"70261313","displayToPublicDate":"2024-10-27T09:42:06","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Self-potential tomography preconditioned by particle swarm optimization— Application to monitoring hyporheic exchange in a bedrock river","docAbstract":"

A self-potential (SP) data-inversion algorithm was developed and tested on an analytical model of electrical-potential profile data attributed to single and multiple polarized electrical sources. The developed algorithm was then validated by an application to SP-monitoring field data measured on the floodplain of East Fork Poplar Creek, Oak Ridge, Tennessee, to image electrical sources in areas conducive to preferential flow into the flood plain from the bedrock-lined riverbed. The algorithm combined stochastic source-localization by particle-swarm-optimization (PSO) of electrical sources characterized by simplified geometries with source tomography by regularized weighted least-squares minimization of a quadratic objective function. Prior information was incorporated by preconditioning the tomography algorithm by PSO results. Variable percentages of random noise were added to analytical-model data to evaluate the algorithm performance. Results indicated that true parameters of single-source models were inverted and approximated with small residual error, whereas inversion of analytical-model data representing multiple electrical sources accurately approximated the locations of the sources but miscalculated some parameters because of the non-uniqueness of the inverse-model solution. Source tomography applied to analytical model data during testing produced a spatially continuous parameter field that identified the locations of point-scale synthetic dipole sources of electrical current flow with varying degrees of accuracy depending on the prior information incorporated into the tomography. When applied to SP-monitoring field data, the algorithm imaged electrical sources within a known fault that intersects the bedrock riverbed and flood plain of East Fork Poplar Creek and depicted dynamic electrical conditions attributed to hyporheic exchange.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024WR037549","usgsCitation":"Ikard, S., Carroll, K.C., Brooks, S.C., Rucker, D.F., Smith-Vega, G., and Elwes, A., 2024, Self-potential tomography preconditioned by particle swarm optimization— Application to monitoring hyporheic exchange in a bedrock river: Water Resources Research, v. 60, no. 10, e2024WR037549, 25 p., https://doi.org/10.1029/2024WR037549.","productDescription":"e2024WR037549, 25 p.","ipdsId":"IP-160252","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":466810,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024wr037549","text":"Publisher Index Page"},{"id":464806,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee","city":"Oak Ridge","otherGeospatial":"East Fork Poplar Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -84.23096147469687,\n 36.034094349042874\n ],\n [\n -84.40092348796415,\n 36.034094349042874\n ],\n [\n -84.40092348796415,\n 35.91942637548165\n ],\n [\n -84.23096147469687,\n 35.91942637548165\n ],\n [\n -84.23096147469687,\n 36.034094349042874\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"60","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-10-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Ikard, Scott 0000-0002-8304-4935","orcid":"https://orcid.org/0000-0002-8304-4935","contributorId":201775,"corporation":false,"usgs":true,"family":"Ikard","given":"Scott","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":920340,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carroll, Kenneth C. 0000-0003-2097-9589","orcid":"https://orcid.org/0000-0003-2097-9589","contributorId":247827,"corporation":false,"usgs":false,"family":"Carroll","given":"Kenneth","email":"","middleInitial":"C.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":920341,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brooks, Scott C. 0000-0002-8437-9788","orcid":"https://orcid.org/0000-0002-8437-9788","contributorId":294464,"corporation":false,"usgs":false,"family":"Brooks","given":"Scott","email":"","middleInitial":"C.","affiliations":[{"id":37070,"text":"Oak Ridge National Laboratory","active":true,"usgs":false}],"preferred":false,"id":920343,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rucker, Dale F. 0000-0002-8930-2747","orcid":"https://orcid.org/0000-0002-8930-2747","contributorId":294463,"corporation":false,"usgs":false,"family":"Rucker","given":"Dale","email":"","middleInitial":"F.","affiliations":[{"id":63573,"text":"hydroGEOPHYSICS, Inc.","active":true,"usgs":false}],"preferred":false,"id":920342,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith-Vega, Gladisol 0009-0001-1597-7944","orcid":"https://orcid.org/0009-0001-1597-7944","contributorId":346951,"corporation":false,"usgs":false,"family":"Smith-Vega","given":"Gladisol","email":"","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":920344,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Elwes, Aubrey 0009-0000-4058-8126","orcid":"https://orcid.org/0009-0000-4058-8126","contributorId":346952,"corporation":false,"usgs":false,"family":"Elwes","given":"Aubrey","email":"","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":920345,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70260492,"text":"70260492 - 2024 - Handling effects on dispersal of PIT-tagged Flannelmouth Sucker","interactions":[],"lastModifiedDate":"2025-02-07T16:26:07.721487","indexId":"70260492","displayToPublicDate":"2024-10-26T10:35:57","publicationYear":"2024","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":"Handling effects on dispersal of PIT-tagged Flannelmouth Sucker","docAbstract":"

Objective

Handling and tagging migrating fish might alter their behavior, limiting inference from mark–recapture studies. Posthandling flight of tributary spawning Flannelmouth Sucker Catostomus latipinnis was previously identified in Coal Creek in the upper Colorado River basin. Our objective was to determine if similar issues were present at McElmo Creek in the San Juan River basin.

Methods

We compared emigration timing of Flannelmouth Sucker that had been handled and tagged with passive integrated transponder tags during their tributary spawning run to individuals tagged in previous years and detected both entering and exiting the tributary. Linear mixed-effects models were used to examine intrinsic and extrinsic factors contributing to exit timing.

Result

Sex and tagging year were associated with emigration timing, but handling did not result in posthandling flight from McElmo Creek. Females exited the tributary ~3 days before males, and larger fish emigrated earlier than smaller adults.

Conclusion

Differences in capture technique and timing, available spawning habitat, and fish motivation across river systems may contribute to differences in posthandling emigration of tributary spawning Flannelmouth Sucker.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.11043","usgsCitation":"Bonjour, S.M., Gido, K., and McKinstry, M.C., 2024, Handling effects on dispersal of PIT-tagged Flannelmouth Sucker: North American Journal of Fisheries Management, v. 44, no. 5, p. 1111-1120, https://doi.org/10.1002/nafm.11043.","productDescription":"10 p.","startPage":"1111","endPage":"1120","ipdsId":"IP-164101","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":466811,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.11043","text":"Publisher Index Page"},{"id":463702,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Utah","otherGeospatial":"McElmo Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -109.2051327142802,\n 37.21458135219234\n ],\n [\n -109.18545071833839,\n 37.2047842976106\n ],\n [\n -109.09360140394335,\n 37.24820822443989\n ],\n [\n -109.02389433498291,\n 37.315743074797766\n ],\n [\n -109.02225416865441,\n 37.33367692529539\n ],\n [\n -109.0489068714924,\n 37.33335089348972\n ],\n [\n -109.16412855606805,\n 37.24429130245919\n ],\n [\n -109.2051327142802,\n 37.21458135219234\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"44","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-10-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Bonjour, Sophia Marie 0000-0003-3614-7023","orcid":"https://orcid.org/0000-0003-3614-7023","contributorId":335936,"corporation":false,"usgs":true,"family":"Bonjour","given":"Sophia","email":"","middleInitial":"Marie","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":917879,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gido, Keith B.","contributorId":341429,"corporation":false,"usgs":false,"family":"Gido","given":"Keith B.","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":917880,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKinstry, Mark C.","contributorId":301155,"corporation":false,"usgs":false,"family":"McKinstry","given":"Mark","email":"","middleInitial":"C.","affiliations":[{"id":65322,"text":"Upper Colorado Regional Office","active":true,"usgs":false}],"preferred":false,"id":917881,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70261155,"text":"70261155 - 2024 - The geometry of fault reactivation and uplift along the central part of the Maacama fault zone, northern California Coast Ranges (USA)","interactions":[],"lastModifiedDate":"2024-11-26T16:40:13.642828","indexId":"70261155","displayToPublicDate":"2024-10-25T10:35:06","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"The geometry of fault reactivation and uplift along the central part of the Maacama fault zone, northern California Coast Ranges (USA)","docAbstract":"

Fault reactivation of bedrock structures in active fault zones influences stress state and earthquake rupture phenomena through the introduction of weak slip surfaces that impact fault zone geometry and width. Yet, geometric relationships between modern faults and older reactivated faults are difficult to quantify in rocks that have experienced multiple deformation episodes. We used new geologic mapping, geomorphic tools, and structural modeling to quantify rock uplift and subsurface fault geometry of the central part of the Maacama Fault Zone near Ukiah, California, USA, and the surrounding area. Results suggest that the northern Mayacamas Mountains are in a tectonically driven disequilibrium, with differential rock uplift focused on the western side of the range. Steeply east-dipping fault surfaces and splays characterize the geometry of the Maacama Fault Zone. We mapped two newly identified faults to the east of the main Maacama Fault, the Cow Mountain–Mill Creek Fault, and Willow Creek Fault, which align with a moderately east-dipping cluster of microseismicity between 4–10 km depth beneath the Mayacamas Mountains. Static stress modeling on the Maacama Fault Zone and newly identified faults to the east quantify slip tendency values of 0.5–0.4, which suggests that the faults are moderately to poorly suited for slip in the modern stress field and may be weak. We infer that modern uplift is driven by oblique reverse, up-to-the-east, dip-slip motion on the reactivated Cenozoic Cow Mountain–Mill Creek and Willow Creek Faults as material is advected through a restraining bend on the Maacama Fault. This study shows that reactivated bedrock faults increase the fault zone width and introduce fault surfaces that contribute a component of vertical deformation and uplift in major strike-slip fault zones. Deformation is accommodated on an interconnected network of new and reactivated faults that delineate a complex seismic hazard.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02750.1","usgsCitation":"Melosh, B.L., McLaughlin, R., and Ohlin, H., 2024, The geometry of fault reactivation and uplift along the central part of the Maacama fault zone, northern California Coast Ranges (USA): Geosphere, v. 20, no. 6, p. 1511-1532, https://doi.org/10.1130/GES02750.1.","productDescription":"22 p.","startPage":"1511","endPage":"1532","ipdsId":"IP-154371","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":466815,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02750.1","text":"Publisher Index Page"},{"id":464534,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Maacama Fault Zone, Northern California Coast Ranges","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.45015959177604,\n 39.45109183492838\n ],\n [\n -123.45015959177604,\n 38.81847294177288\n ],\n [\n -122.91075258047664,\n 38.81847294177288\n ],\n [\n -122.91075258047664,\n 39.45109183492838\n ],\n [\n -123.45015959177604,\n 39.45109183492838\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"20","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-10-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Melosh, Benjamin L. 0000-0002-8017-7193","orcid":"https://orcid.org/0000-0002-8017-7193","contributorId":217215,"corporation":false,"usgs":true,"family":"Melosh","given":"Benjamin","email":"","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":919456,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McLaughlin, Robert J. 0000-0002-4390-2288","orcid":"https://orcid.org/0000-0002-4390-2288","contributorId":211450,"corporation":false,"usgs":true,"family":"McLaughlin","given":"Robert J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":919457,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ohlin, Henry","contributorId":346525,"corporation":false,"usgs":false,"family":"Ohlin","given":"Henry","affiliations":[{"id":36466,"text":"Consulting Geologist","active":true,"usgs":false}],"preferred":false,"id":919458,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70259674,"text":"sir20245082 - 2024 - Use of a numerical groundwater-flow model and projected climate scenarios to simulate the effects of future climate conditions on base flow for reach 1 of the Washita River alluvial aquifer and Foss Reservoir storage, western Oklahoma","interactions":[],"lastModifiedDate":"2025-12-22T20:17:19.51282","indexId":"sir20245082","displayToPublicDate":"2024-10-25T10:23:33","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5082","displayTitle":"Use of a Numerical Groundwater-Flow Model and Projected Climate Scenarios To Simulate the Effects of Future Climate Conditions on Base Flow for Reach 1 of the Washita River Alluvial Aquifer and Foss Reservoir Storage, Western Oklahoma","title":"Use of a numerical groundwater-flow model and projected climate scenarios to simulate the effects of future climate conditions on base flow for reach 1 of the Washita River alluvial aquifer and Foss Reservoir storage, western Oklahoma","docAbstract":"

To better understand the relation between climate variability and future groundwater resources in reach 1 of the Washita River alluvial aquifer and Foss Reservoir in western Oklahoma, the U.S. Geological Survey, in cooperation with the Bureau of Reclamation, used a previously published numerical groundwater-flow model and climate-model data to investigate changes in base flow and reservoir storage by evaluating three scenarios. The three projected climate scenarios were (1) a central-tendency scenario, (2) a warmer/drier scenario, and (3) a less-warm/wetter scenario. To estimate future base flow and groundwater availability in western Oklahoma, specifically in reach 1 of the Washita River alluvial aquifer, downscaled climate-model data from 231 Coupled Model Intercomparison Project phase 5 (CMIP5) projections coupled with a previously published numerical groundwater-flow model were used to compare the effects of different climate scenarios on the aquifer. Changes in base flow and groundwater-level elevations during a 30-year baseline scenario (1985–2014) and the three 30-year projected climate scenarios (2050–79) under central-tendency, warmer/drier, and less-warm/wetter climatic conditions were assessed by using the calibrated model. In the simulations, the amount of base flow and reservoir storage declined in the central-tendency and warmer/drier scenarios compared to the amount of base flow and reservoir storage under historical climatic conditions (baseline scenario). Mean annual change in reservoir storage decreased from the baseline scenario the most in the warmer/drier scenario, followed by the central-tendency scenario, but increased in the less-warm/wetter scenario compared to the baseline scenario. At the end of the simulation period (2079), the largest magnitude differences in groundwater-level elevations in all three projected climate scenarios relative to the baseline scenario occurred upstream from Foss Reservoir. Results from incorporating downscaled climate projections into localized numerical groundwater-flow models can highlight potential future changes in and implications for groundwater resources and availability.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245082","issn":"2328-0328","collaboration":"Prepared in cooperation with Bureau of Reclamation","usgsCitation":"Labriola, L.G., Ellis, J.H., Gangopadhyay, S., Kirstetter, P.E., and Hong, Y., 2024, Use of a numerical groundwater-flow model and projected climate scenarios to simulate the effects of future climate conditions on base flow for reach 1 of the Washita River alluvial aquifer and Foss Reservoir storage, western Oklahoma: U.S. Geological Survey Scientific Investigations Report 2024–5082, 20 p., https://doi.org/10.3133/sir20245082.","productDescription":"Report: viii, 20 p.; 2 Datasets, Data Release","numberOfPages":"32","onlineOnly":"Y","ipdsId":"IP-140254","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":497883,"rank":10,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117736.htm","linkFileType":{"id":5,"text":"html"}},{"id":463125,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245082/full","description":"SIR 2024-5082 HTML"},{"id":463003,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5082/images"},{"id":463001,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5082/coverthb.jpg"},{"id":463000,"rank":1,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5082/images"},{"id":463006,"rank":9,"type":{"id":28,"text":"Dataset"},"url":"https://waterdata.usgs.gov/ok/nwis/","text":"USGS Water Data for Oklahoma","linkHelpText":"- USGS NWIS water data for Oklahoma"},{"id":463066,"rank":8,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS Water Data for the Nation","linkHelpText":"- USGS NWIS database"},{"id":463005,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XFE87Q","text":"USGS Data Release","linkHelpText":"- MODFLOW-NWT model data used to simulate base flow and groundwater availability under different future climatic conditions for reach 1 of the Washita River alluvial aquifer and Foss Reservoir, western Oklahoma"},{"id":463124,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5082/sir20245082.XML","description":"SIR 2024-5082 XML"},{"id":463002,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5082/sir20245082.pdf","size":"1.86 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5082"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Washita River alluvial aquifer and Foss Reservoir storage","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -99.99793544098728,\n 35.9\n ],\n [\n -99.99793544098728,\n 35.458335525604184\n ],\n [\n -98.75,\n 35.458335525604184\n ],\n [\n -98.75,\n 35.9\n ],\n [\n -99.99793544098728,\n 35.9\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, Oklahoma-Texas Water Science Center
U.S. Geological Survey
1505 Ferguson Lane
Austin, TX 78754–4501

Contact Us- USGS Publications Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2024-10-25","noUsgsAuthors":false,"publicationDate":"2024-10-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Labriola, Laura G. 0000-0002-5096-2940","orcid":"https://orcid.org/0000-0002-5096-2940","contributorId":345289,"corporation":false,"usgs":true,"family":"Labriola","given":"Laura G.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":916209,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellis, John H. 0000-0001-7161-3136","orcid":"https://orcid.org/0000-0001-7161-3136","contributorId":345290,"corporation":false,"usgs":true,"family":"Ellis","given":"John H.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":916210,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gangopadhyay, Subhrendu","contributorId":345291,"corporation":false,"usgs":false,"family":"Gangopadhyay","given":"Subhrendu","email":"","affiliations":[{"id":6736,"text":"Bureau of Reclamation","active":true,"usgs":false}],"preferred":true,"id":916211,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kirstetter, Pierre-Emmanuel 0000-0002-7381-0229","orcid":"https://orcid.org/0000-0002-7381-0229","contributorId":345292,"corporation":false,"usgs":false,"family":"Kirstetter","given":"Pierre-Emmanuel","email":"","affiliations":[{"id":7062,"text":"University of Oklahoma","active":true,"usgs":false}],"preferred":true,"id":916212,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hong, Yang","contributorId":345293,"corporation":false,"usgs":false,"family":"Hong","given":"Yang","email":"","affiliations":[{"id":7062,"text":"University of Oklahoma","active":true,"usgs":false}],"preferred":true,"id":916213,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70266385,"text":"70266385 - 2024 - Influence of stream temperature and human disturbance on prespawn mortality of Chinook Salmon in the Willamette River basin","interactions":[],"lastModifiedDate":"2025-05-06T14:51:45.295635","indexId":"70266385","displayToPublicDate":"2024-10-25T09:44:25","publicationYear":"2024","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":"Influence of stream temperature and human disturbance on prespawn mortality of Chinook Salmon in the Willamette River basin","docAbstract":"
Objective

Premature mortality of adult female Chinook Salmon Oncorhynchus tshawytscha is a major barrier to population recovery. The Willamette River basin, Oregon, typifies the problems that are faced by fishery managers in the Pacific Northwest (USA). Adult salmon are trapped and transported upstream of dams to access historical spawning grounds, but annual rates of prespawn mortality (PSM) are high (often >40%) and may limit the recovery of natural populations. The purpose of this study was to identify potential factors related to PSM of female Chinook Salmon that are outplanted above dams and incorporate them into a modeling framework to facilitate adaptive management of outplanting operations.

Methods

We evaluated PSM in Fall Creek of the Willamette River basin prior to transport facility improvements in summer and fall of 2010–2017 and postimprovement during 2020–2021. We estimated PSM and conducted exploratory analyses to identify possible nontransport sources of stress that may contribute to the observed high PSM rates. Candidate factors included long‐term elevated temperature exposure, elevated temperature exposure below the trap, total number of outplanted fish, and monthly human disturbance of outplanted fish. We then developed and fit three models, each representing a hypothesis of a factor influencing PSM, incorporated them into a single alternative decision model, and conducted sensitivity analyses.

Result

Prespawn mortality averaged 0.66 (ranging from 0.37 to 0.94) over the study period. According to the simulation results, the top two management actions were to exclude human activities—swimming and fishing—from Fall Creek in July and August.

Conclusion

Expected PSM rates were predicted to be 0.38 when human activity was excluded in July and 0.37 for August. Sensitivity analyses indicated that the most influential decision model component was the choice of the alternative model.

","language":"English","publisher":"Oxford Academic","doi":"10.1002/nafm.11035","usgsCitation":"Carey, K., Kent, M., Schreck , C., Couch, C., Whitman, L., and Peterson, J., 2024, Influence of stream temperature and human disturbance on prespawn mortality of Chinook Salmon in the Willamette River basin: North American Journal of Fisheries Management, v. 44, no. 5, p. 1147-1164, https://doi.org/10.1002/nafm.11035.","productDescription":"18 p.","startPage":"1147","endPage":"1164","ipdsId":"IP-160967","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":485448,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Willamette River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.8715615545062,\n 45.8383553494493\n ],\n [\n -123.6679423290912,\n 44.63044709476432\n ],\n [\n -123.22263481916224,\n 43.021096398035354\n ],\n [\n -122.04995757601137,\n 42.9123675501892\n ],\n [\n -121.1174558673772,\n 43.70838784757237\n ],\n [\n -121.16366056285514,\n 44.713821694878476\n ],\n [\n -121.91614641573739,\n 45.48912887882091\n ],\n [\n -122.5208065241971,\n 45.590947304271936\n ],\n [\n -122.8715615545062,\n 45.8383553494493\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"44","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-10-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Carey, Katherine C.","contributorId":354533,"corporation":false,"usgs":false,"family":"Carey","given":"Katherine C.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":935794,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kent, Michael L.","contributorId":288715,"corporation":false,"usgs":false,"family":"Kent","given":"Michael L.","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":935795,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schreck , Carl B.","contributorId":181514,"corporation":false,"usgs":false,"family":"Schreck ","given":"Carl B.","affiliations":[],"preferred":false,"id":935796,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Couch, Claire E.","contributorId":337928,"corporation":false,"usgs":false,"family":"Couch","given":"Claire E.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":935797,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Whitman, Luke","contributorId":290613,"corporation":false,"usgs":false,"family":"Whitman","given":"Luke","email":"","affiliations":[{"id":36223,"text":"Oregon Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":935798,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":935799,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70261089,"text":"70261089 - 2024 - A genetic assessment of natural barriers for isolating a habitat network proposed for Greenback Cutthroat Trout reintroduction","interactions":[],"lastModifiedDate":"2024-11-22T15:02:46.557924","indexId":"70261089","displayToPublicDate":"2024-10-25T07:50:19","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":19835,"text":"Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"A genetic assessment of natural barriers for isolating a habitat network proposed for Greenback Cutthroat Trout reintroduction","docAbstract":"

Objective: Native inland trout conservation efforts rely on physical barriers to exclude nonnative salmonids from target habitats. We used genetic techniques to evaluate a series of natural waterfalls for their potential to serve as barriers to prevent nonnative salmonids from entering a proposed reintroduction area for federally threatened Greenback Cutthroat Trout Oncorhynchus virginalis stomias.

Methods: Genetic samples were collected from nonnative Brook Trout Salvelinus fontinalis at 11 sampling reaches above and below natural waterfalls (height: ~1–3 m under base flow conditions) along a 33-km segment of Colorado's upper Cache la Poudre River near the outflow of the proposed reintroduction area. To evaluate whether upstream movement of Brook Trout is restricted by any of these waterfalls, we characterized longitudinal trends in genetic diversity along the river corridor and examined patterns of genetic differentiation and population structure in relation to waterfall locations using a panel of microsatellites.

Result: We found no evidence that the waterfalls served as complete movement barriers for nonnative Brook Trout based on genetic clustering analyses, estimates of population differentiation, and longitudinal genetic patterns. Our multilocus assessment did not identify alleles restricted to downstream reaches, and the river segment was genetically homogenized.

Conclusion: Our evaluation suggests that the existing waterfalls do not fully prevent upstream movement by nonnative Brook Trout, and thus barrier modification would be needed to establish an isolated Greenback Cutthroat Trout population in the proposed wilderness area.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.11033","usgsCitation":"Stack, T., Fairchild, M.P., Geiger, R., Oyler-McCance, S.J., Fike, J., Kennedy, C.M., Winkelman, D.L., and Kanno, Y., 2024, A genetic assessment of natural barriers for isolating a habitat network proposed for Greenback Cutthroat Trout reintroduction: Journal of Fisheries Management, v. 44, no. 5, p. 1062-1072, https://doi.org/10.1002/nafm.11033.","productDescription":"11 p.","startPage":"1062","endPage":"1072","ipdsId":"IP-164760","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":466818,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.11033","text":"Publisher Index Page"},{"id":464426,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Cache la Poudre River, Rocky Mountain National Park. Roosevelt National Forest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.72938294443432,\n 40.37498977022156\n ],\n [\n -105.72938294443432,\n 40.34881903251036\n ],\n [\n -105.67769260691867,\n 40.34881903251036\n ],\n [\n -105.67769260691867,\n 40.37498977022156\n ],\n [\n -105.72938294443432,\n 40.37498977022156\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"44","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-10-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Stack, Taylor","contributorId":340291,"corporation":false,"usgs":false,"family":"Stack","given":"Taylor","email":"","affiliations":[{"id":81548,"text":"Department of Fish, Wildlife, and Conservation Biology, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":919180,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fairchild, Matthew P.","contributorId":196533,"corporation":false,"usgs":false,"family":"Fairchild","given":"Matthew","email":"","middleInitial":"P.","affiliations":[{"id":24595,"text":"USDA Forest Service, Fort Collins CO","active":true,"usgs":false}],"preferred":false,"id":919181,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Geiger, Rachel","contributorId":346472,"corporation":false,"usgs":false,"family":"Geiger","given":"Rachel","email":"","affiliations":[{"id":7134,"text":"USFS","active":true,"usgs":false}],"preferred":false,"id":919182,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":919183,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fike, Jennifer A. 0000-0001-8797-7823","orcid":"https://orcid.org/0000-0001-8797-7823","contributorId":207268,"corporation":false,"usgs":true,"family":"Fike","given":"Jennifer A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":919184,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kennedy, Christopher M.","contributorId":346473,"corporation":false,"usgs":false,"family":"Kennedy","given":"Christopher","email":"","middleInitial":"M.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":919185,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Winkelman, Dana L. 0000-0002-5247-0114 danaw@usgs.gov","orcid":"https://orcid.org/0000-0002-5247-0114","contributorId":4141,"corporation":false,"usgs":true,"family":"Winkelman","given":"Dana","email":"danaw@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":919186,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kanno, Yoichiro","contributorId":210653,"corporation":false,"usgs":false,"family":"Kanno","given":"Yoichiro","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":919187,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70260152,"text":"70260152 - 2024 - Afterslip and creep in the rate-dependent framework: Joint inversion of borehole strain and GNSS displacements for the Mw 7.1 Ridgecrest earthquake","interactions":[],"lastModifiedDate":"2024-10-29T12:02:05.541886","indexId":"70260152","displayToPublicDate":"2024-10-25T07:00:11","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18956,"text":"Journal of Geophysics Research","active":true,"publicationSubtype":{"id":10}},"title":"Afterslip and creep in the rate-dependent framework: Joint inversion of borehole strain and GNSS displacements for the Mw 7.1 Ridgecrest earthquake","docAbstract":"

The elusive transition toward afterslip following an earthquake is challenging to capture with typical data resolution limits. A dense geodetic network recorded the Mw 7.1 Ridgecrest earthquake, including 16 Global Navigation Satellite System (GNSS) stations and 3 borehole strainmeters (BSM). The sub-nanostrain precision and sub-second sampling rate of BSMs bridges a gap between conventional seismologic and geodetic methods, exemplified by atypical postseismic shear strain reversals observed at nearfield (<2 km) station B921 that remain unexplained. We jointly invert GNSS displacements and BSM strains for coseismic and postseismic slip spanning hours to months over 7 independent periods. Cosiesmically, our model resolves the largest slip magnitudes of up to 6.6 m on the mainshock rupture plane, with similar patterns to other inferred slip distributions. The foreshock fault appears to slip coincidently with mainshock, revealing potential asperities activated during the preceding Mw 6.4 event. Postseismically, the best-fitting models adhere to mechanical rate-and-state expectations of logarithmically decaying slip adjacent to the coseismic rupture terminus, and where deep rheologic conditions favor creep. Most spatial variation occurs in the early postseismic timeframe (<1–2 weeks), with evidence for regional rheologic control and static stress dependence. Triggered creep on the neighboring Garlock Fault unexpectedly persists for >178 days—further highlighting the importance of fault networks in postseismic stress redistribution, critical to assessing future hazard.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JB028908","usgsCitation":"Hannagan, C., Bennett, R., Barbour, A.J., and Hughes, A.N., 2024, Afterslip and creep in the rate-dependent framework: Joint inversion of borehole strain and GNSS displacements for the Mw 7.1 Ridgecrest earthquake: Journal of Geophysics Research, v. 129, no. 10, e2024JB028908, https://doi.org/10.1029/2024JB028908.","productDescription":"e2024JB028908","ipdsId":"IP-159433","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":463312,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"129","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-10-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Hannagan, Catherine","contributorId":345667,"corporation":false,"usgs":false,"family":"Hannagan","given":"Catherine","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":917215,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bennett, Richard","contributorId":345668,"corporation":false,"usgs":false,"family":"Bennett","given":"Richard","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":917216,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barbour, Andrew J. 0000-0002-6890-2452","orcid":"https://orcid.org/0000-0002-6890-2452","contributorId":215339,"corporation":false,"usgs":true,"family":"Barbour","given":"Andrew","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":917217,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hughes, Amanda N.","contributorId":331664,"corporation":false,"usgs":false,"family":"Hughes","given":"Amanda","email":"","middleInitial":"N.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":917218,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70259787,"text":"sir20245086 - 2024 - Analysis of factors affecting plume remediation in a sole-source aquifer system, southeastern Nassau County, New York","interactions":[],"lastModifiedDate":"2025-12-22T20:16:00.664834","indexId":"sir20245086","displayToPublicDate":"2024-10-24T13:41:50","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5086","displayTitle":"Analysis of Factors Affecting Plume Remediation in a Sole-Source Aquifer System, Southeastern Nassau County, New York","title":"Analysis of factors affecting plume remediation in a sole-source aquifer system, southeastern Nassau County, New York","docAbstract":"

Several plumes of dissolved, chlorinated solvents, including trichloroethylene, have been identified in a sole-source aquifer near the former Northrop Grumman Bethpage Facility and Naval Weapons Industrial Reserve Plant sites in southeastern Nassau County, New York. Past investigations have documented that the groundwater contamination originated from this industrial area and now extends to the south, in the direction of groundwater flow. The intermixed plumes are commonly referred to as the “Navy Grumman groundwater plume.” Detailed groundwater-flow modeling was needed for the New York State Department of Environmental Conservation (NYSDEC) to evaluate design options necessary for the construction, operation, optimization, maintenance, and monitoring of a groundwater extraction and treatment cleanup plan selected in a December 2019 Amended Record of Decision by the NYSDEC to comprehensively address these plumes.

Consequently, the NYSDEC began a cooperative study with the U.S. Geological Survey in 2020 to better understand the local hydrogeologic framework using two independent approaches to characterize aquifer heterogeneity and update an existing regional groundwater-flow model to provide transient boundary conditions for new inset groundwater-flow models of the plume area. We developed these detailed inset models for the two independent aquifer characterizations using history-matching techniques coupled with a novel approach to risk-based management optimization of the remedial design. We also used the updated regional model to assess this optimized groundwater extraction and treatment design for potential saltwater intrusion.

The ensembles of parameters resulting from history matching provided a platform with which to evaluate capture by water-supply and remedial wells using particle-tracking techniques. Using the ensemble to select a risk stance, we performed multiobjective optimization to identify various configurations of remedial pumping that are consistent with external constraints and that favor potentially competing objectives. Multiple solutions provide tradeoffs that NYSDEC can consider. In general, pumping redistribution may help to prevent further contamination migration downgradient. These and other study results are intended to support decisions for the remedial design focused on the local area encompassing the full extent of the Navy Grumman groundwater plume.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245086","collaboration":"Prepared in cooperation with New York State Department of Environmental Conservation","usgsCitation":"Fienen, M.N., Corson-Dosch, N., Stumm, F., Misut, P.E., Jahn, K., Troyer, J., Schubert, C.E., Walter, D.A., Finkelstein, J.S., Monti, J., Jr., St. Germain, D.J., Williams, J.H., and Woda, J.C., 2024, Analysis of factors affecting plume remediation in a sole-source aquifer system, southeastern Nassau County, New York: U.S. Geological Survey Scientific Investigations Report 2024–5086, 92 p., https://doi.org/10.3133/sir20245086.","productDescription":"Report: xii, 92 p.; 1 Dataset; 2 Data Releases","numberOfPages":"108","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-154036","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":497881,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117734.htm","linkFileType":{"id":5,"text":"html"}},{"id":463155,"rank":8,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":463151,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5086/images/"},{"id":463149,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5086/sir20245086.pdf","text":"Report","size":"5.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024–5086"},{"id":463154,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P907ORL5","text":"USGS data release","linkHelpText":"MODFLOW 6 model scenario used to simulate transient stresses, heads, and flows in the Regional Aquifer System of Long Island, New York, 2005–2019"},{"id":463153,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92KSK8H","text":"USGS data release","linkHelpText":"MODFLOW 6 models for simulating groundwater flow and a proposed remediation system in the sole-source aquifer system in southeastern Nassau County, New York"},{"id":463152,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245086/full"},{"id":463150,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5086/sir20245086.XML"},{"id":463148,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5086/coverthb.jpg"}],"country":"United States","state":"New York","county":"Nassau County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.62544451515083,\n 40.792321377318615\n ],\n [\n -73.61512551909095,\n 40.6377132292763\n ],\n [\n -73.42724709826577,\n 40.649402810993905\n ],\n [\n -73.44912803403062,\n 40.79737601237295\n ],\n [\n -73.62544451515083,\n 40.792321377318615\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180–8349

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2024-10-24","noUsgsAuthors":false,"publicationDate":"2024-10-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Fienen, Michael N. 0000-0002-7756-4651","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":245632,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":916674,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Corson-Dosch, Nicholas 0000-0002-6776-6241","orcid":"https://orcid.org/0000-0002-6776-6241","contributorId":202630,"corporation":false,"usgs":true,"family":"Corson-Dosch","given":"Nicholas","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":916675,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stumm, Frederick 0000-0002-5388-8811 fstumm@usgs.gov","orcid":"https://orcid.org/0000-0002-5388-8811","contributorId":1077,"corporation":false,"usgs":true,"family":"Stumm","given":"Frederick","email":"fstumm@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":916676,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Misut, Paul E. 0000-0002-6502-5255 pemisut@usgs.gov","orcid":"https://orcid.org/0000-0002-6502-5255","contributorId":1073,"corporation":false,"usgs":true,"family":"Misut","given":"Paul","email":"pemisut@usgs.gov","middleInitial":"E.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":916677,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jahn, Kalle 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schubert@usgs.gov","orcid":"https://orcid.org/0000-0002-5137-1229","contributorId":191224,"corporation":false,"usgs":true,"family":"Schubert","given":"Christopher","email":"schubert@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":false,"id":916680,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Walter, Donald A. 0000-0003-0879-4477 dawalter@usgs.gov","orcid":"https://orcid.org/0000-0003-0879-4477","contributorId":1101,"corporation":false,"usgs":true,"family":"Walter","given":"Donald","email":"dawalter@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":916681,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Finkelstein, Jason S. 0000-0002-7496-7236","orcid":"https://orcid.org/0000-0002-7496-7236","contributorId":202452,"corporation":false,"usgs":true,"family":"Finkelstein","given":"Jason S.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":916682,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Monti, Jack Jr. 0000-0001-9389-5891","orcid":"https://orcid.org/0000-0001-9389-5891","contributorId":202454,"corporation":false,"usgs":true,"family":"Monti","given":"Jack","suffix":"Jr.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":916683,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"St. Germain, Daniel J.","contributorId":345460,"corporation":false,"usgs":false,"family":"St. Germain","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":82592,"text":"HDR","active":true,"usgs":false}],"preferred":false,"id":916684,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Williams, John H. 0000-0002-6054-6908 jhwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-6054-6908","contributorId":1553,"corporation":false,"usgs":true,"family":"Williams","given":"John","email":"jhwillia@usgs.gov","middleInitial":"H.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":916685,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Woda, Joshua C. 0000-0002-2932-8013","orcid":"https://orcid.org/0000-0002-2932-8013","contributorId":290172,"corporation":false,"usgs":true,"family":"Woda","given":"Joshua","middleInitial":"C.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":916686,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70259795,"text":"70259795 - 2024 - Rapid simulation of wave runup on morphologically diverse, reef-lined coasts with the BEWARE-2 (Broad-range Estimator of Wave Attack in Reef Environments) meta-process model","interactions":[],"lastModifiedDate":"2024-10-30T21:30:03.428374","indexId":"70259795","displayToPublicDate":"2024-10-24T11:00:11","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2824,"text":"Natural Hazards and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Rapid simulation of wave runup on morphologically diverse, reef-lined coasts with the BEWARE-2 (Broad-range Estimator of Wave Attack in Reef Environments) meta-process model","docAbstract":"

Low-lying, tropical, coral-reef-lined coastlines are becoming increasingly vulnerable to wave-driven flooding due to population growth, coral reef degradation, and sea-level rise. Early-warning systems (EWSs) are needed to enable coastal authorities to issue timely alerts and coordinate preparedness and evacuation measures for their coastal communities. At longer timescales, risk management and adaptation planning require robust assessments of future flooding hazard considering uncertainties. However, due to diversity in reef morphologies and complex reef hydrodynamics compared to sandy shorelines, there have been no robust analytical solutions for wave runup to allow for the development of large-scale coastal wave-driven flooding EWSs and risk assessment frameworks for reef-lined coasts. To address the need for fast, robust predictions of runup that account for the natural variability in coral reef morphologies, we constructed the BEWARE-2 (Broad-range Estimator of Wave Attack in Reef Environments) meta-process modeling system. We developed this meta-process model using a training dataset of hydrodynamics and wave runup computed by the XBeach Non-Hydrostatic process-based hydrodynamic model for 440 combinations of water level, wave height, and wave period with 195 representative reef profiles that encompass the natural diversity in real-world fringing coral reef systems. Through this innovation, BEWARE-2 can be applied in a larger range of coastal settings than meta-models that rely on a parametric description of the coral reef geometry. In the validation stage, the BEWARE-2 modeling system produced runup results that had a relative root mean square error of 13% and relative bias of 5% relative to runup simulated by XBeach Non-Hydrostatic for a large range of oceanographic forcing conditions and for diverse reef morphologies (root mean square error and bias 0.63 and 0.26 m, respectively, relative to mean simulated wave runup of 4.85 m). Incorporating parametric modifications in the modeling system to account for variations in reef roughness and beach slope allows for systematic errors (relative bias) in BEWARE-2 predictions to be reduced by a factor of 1.5–6.5 for relatively coarse or smooth reefs and mild or steep beach slopes. This prediction provided by the BEWARE-2 modeling system is faster by 4–5 orders of magnitude than the full, process-based hydrodynamic model and could therefore be integrated into large-scale EWSs for tropical, reef-lined coasts and used for large-scale flood risk assessments.

","language":"English","publisher":"European Geosciences Union (EGU)","doi":"10.5194/nhess-24-3597-2024","usgsCitation":"McCall, R.T., Storlazzi, C.D., Roelvink, F., Pearson, S., de Goede, R., and Antolinez, J.A., 2024, Rapid simulation of wave runup on morphologically diverse, reef-lined coasts with the BEWARE-2 (Broad-range Estimator of Wave Attack in Reef Environments) meta-process model: Natural Hazards and Earth System Sciences, v. 24, p. 3597-3625, https://doi.org/10.5194/nhess-24-3597-2024.","productDescription":"29 p.","startPage":"3597","endPage":"3625","ipdsId":"IP-160501","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":466824,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/nhess-24-3597-2024","text":"Publisher Index Page"},{"id":463198,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"24","noUsgsAuthors":false,"publicationDate":"2024-10-24","publicationStatus":"PW","contributors":{"authors":[{"text":"McCall, Robert T.","contributorId":148986,"corporation":false,"usgs":false,"family":"McCall","given":"Robert","email":"","middleInitial":"T.","affiliations":[{"id":12474,"text":"Deltares, Netherlands","active":true,"usgs":false}],"preferred":false,"id":916722,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":916723,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roelvink, Floortje","contributorId":258290,"corporation":false,"usgs":false,"family":"Roelvink","given":"Floortje","email":"","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":916724,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearson, Stuart 0000-0002-3986-4469","orcid":"https://orcid.org/0000-0002-3986-4469","contributorId":245646,"corporation":false,"usgs":false,"family":"Pearson","given":"Stuart","email":"","affiliations":[{"id":49245,"text":"Delft University of Technology; Deltares","active":true,"usgs":false}],"preferred":false,"id":916725,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"de Goede, Roel","contributorId":345473,"corporation":false,"usgs":false,"family":"de Goede","given":"Roel","email":"","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":916726,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Antolinez, Jose A.A.","contributorId":177510,"corporation":false,"usgs":false,"family":"Antolinez","given":"Jose","email":"","middleInitial":"A.A.","affiliations":[],"preferred":false,"id":916727,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70260109,"text":"70260109 - 2024 - Predictions of groundwater PFAS occurrence at drinking water supply depths in the United States","interactions":[],"lastModifiedDate":"2024-11-27T15:53:46.572812","indexId":"70260109","displayToPublicDate":"2024-10-24T09:02:46","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Predictions of groundwater PFAS occurrence at drinking water supply depths in the United States","docAbstract":"

Per- and polyfluoroalkyl substances (PFAS), known colloquially as “forever chemicals”, have been associated with adverse human health effects and have contaminated drinking water supplies across the United States owing to their long-term and widespread use. People in the United States may unknowingly be drinking water that contains PFAS because of a lack of systematic analysis, particularly in domestic water supplies. We present an extreme gradient boosting model for predicting the occurrence of PFAS in groundwater at the depths of drinking water supply for the conterminous United States. Our model results indicate that 71 to 95 million people in the conterminous United States potentially rely on groundwater with detectable concentrations of PFAS for their drinking-water supplies prior to any treatment.

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across barnacle life stages and indirect effects of the Pacific Marine Heatwave","docAbstract":"

Barnacles are a foundation species in intertidal habitats. During the Pacific Marine Heatwave (PMH), intertidal barnacle cover increased in the northern Gulf of Alaska (GoA); however, the role of pelagic larval supply in this increase was unknown. Using long-term monitoring data on intertidal benthic (percent cover) and pelagic larval populations (nauplii and cyprid concentrations), we examined potential environmental drivers (temperature, chlorophyll-a, mixed layer depth) of larval concentration and whether including larval concentration at regional and annual scales improved intertidal barnacle percent cover models in two study regions in the GoA. In both regions, larval concentrations were slightly higher following the PMH. Percent cover models were improved by including cyprid concentrations (but not nauplii), and the effect strength varied by site and tidal elevation. This indicates that larval concentration contributes as a bottom–up driver of benthic barnacle abundance. There is little evidence of a direct effect of the PMH on either life stage. Instead, our results may illustrate the positive feedback between life stages, where higher adult benthic abundance increased larval concentrations, which then supplied more new recruits to the benthos. As heatwaves continue to occur, integrating various data types can provide insights into factors influencing both benthic and pelagic communities.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/plankt/fbae059","usgsCitation":"Traiger, S.B., Bodkin, J., Campbell, R., Coletti, H., Esler, D., Holderied, K., Iken, K., Konar, B., McKinstry, C., Monson, D., Pretty, J., Renner, M., Robinson, B.H., Suryan, R.M., and Weitzman, B.P., 2024, Planktonic to sessile: Drivers of spatial and temporal variability across barnacle life stages and indirect effects of the Pacific Marine Heatwave: Journal of Plankton Research, fbae059, 15 p., https://doi.org/10.1093/plankt/fbae059.","productDescription":"fbae059, 15 p.","ipdsId":"IP-158761","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":466827,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/plankt/fbae059","text":"Publisher Index Page"},{"id":463237,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -157.0497579015455,\n 57.07682388484386\n ],\n [\n -143.69038290154538,\n 57.07682388484386\n ],\n [\n -143.69038290154538,\n 62.33962339345706\n ],\n [\n -157.0497579015455,\n 62.33962339345706\n ],\n [\n -157.0497579015455,\n 57.07682388484386\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2024-10-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Traiger, Sarah Beth 0000-0002-6222-1445","orcid":"https://orcid.org/0000-0002-6222-1445","contributorId":293218,"corporation":false,"usgs":true,"family":"Traiger","given":"Sarah","email":"","middleInitial":"Beth","affiliations":[{"id":114,"text":"Alaska Science 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H.","contributorId":215576,"corporation":false,"usgs":false,"family":"Robinson","given":"Brian","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":916940,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Suryan, Robert M. 0000-0003-0755-8317","orcid":"https://orcid.org/0000-0003-0755-8317","contributorId":221852,"corporation":false,"usgs":false,"family":"Suryan","given":"Robert","email":"","middleInitial":"M.","affiliations":[{"id":40443,"text":"Oregon State University, NOAA","active":true,"usgs":false}],"preferred":false,"id":916941,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Weitzman, Benjamin P 0000-0001-7559-3654","orcid":"https://orcid.org/0000-0001-7559-3654","contributorId":291739,"corporation":false,"usgs":false,"family":"Weitzman","given":"Benjamin","email":"","middleInitial":"P","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":916942,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70263724,"text":"70263724 - 2024 - A habitat suitability model for testing and refining the range of Zuni fleabane, a threatened plant species","interactions":[],"lastModifiedDate":"2025-02-20T14:32:28.399001","indexId":"70263724","displayToPublicDate":"2024-10-23T08:28:42","publicationYear":"2024","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":18754,"text":"EcoEvoRxiv","active":true,"publicationSubtype":{"id":32}},"title":"A habitat suitability model for testing and refining the range of Zuni fleabane, a threatened plant species","docAbstract":"

Land managers and conservation practitioners need practical tools to protect rare species in light of rapidly changing climate and land use patterns. Habitat suitability models are tools that can inform multiple-use land management decisions and target conservation actions. The narrow endemic Zuni fleabane, Erigeron rhizomatus, occurs on lands managed for multiple uses and was listed as threatened under the Endangered Species Act in 1985 due to the main threat of surface mining. Despite intermittent surveys in recent decades, managers still do not have a comprehensive understanding of suitable habitat characteristics or the geographic extent of suitable habitat across its range. We developed and field-validated a habitat suitability model for Zuni fleabane using an iterative, ensemble approach. We tested the null hypothesis that the model would not identify major new populations outside the known range but rather assist in refining the boundaries of known suitable habitat. We also set out to improve our understanding of biotic and abiotic characteristics that define suitable habitat across geographically distant metapopulations. Our model identified areas with low, medium, high, and very high probability of containing suitable habitat. We identified a new metapopulation beyond the three known (disproving our null hypothesis) as well as additional suitable habitat within the previously known regions. This model predicts where Zuni fleabane habitat likely occurs and may help land managers and conservation practitioners identify new populations, survey habitat at fine scales, avoid impacts from multiple-use management activities, and recover this threatened species.

","language":"English","publisher":"EcoEvoRxiv","doi":"10.32942/X2CG98","usgsCitation":"Jarnevich, C.S., Carter, S.K., Chavez, A., Handley, P., Hayes, B., Hayes, C., Reimer, C., Reiss, S., Rowe, E., Sandbom, K., and Whipple, S.E., 2024, A habitat suitability model for testing and refining the range of Zuni fleabane, a threatened plant species: EcoEvoRxiv, https://doi.org/10.32942/X2CG98.","productDescription":"35 p.","ipdsId":"IP-171082","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":489766,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.32942/x2cg98","text":"Publisher Index Page"},{"id":482258,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":927953,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carter, Sarah K. 0000-0003-3778-8615","orcid":"https://orcid.org/0000-0003-3778-8615","contributorId":192418,"corporation":false,"usgs":true,"family":"Carter","given":"Sarah","email":"","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":927954,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chavez, Andrea N.","contributorId":346488,"corporation":false,"usgs":false,"family":"Chavez","given":"Andrea N.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":927955,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Handley, Paige E.","contributorId":346489,"corporation":false,"usgs":false,"family":"Handley","given":"Paige E.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":927956,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hayes, Brandon","contributorId":337154,"corporation":false,"usgs":false,"family":"Hayes","given":"Brandon","email":"","affiliations":[{"id":80983,"text":"Student Services Contractor to USGS FORT","active":true,"usgs":false}],"preferred":false,"id":927957,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hayes, Charles L.","contributorId":328698,"corporation":false,"usgs":false,"family":"Hayes","given":"Charles L.","affiliations":[{"id":78463,"text":"NM Dept. of Game & Fish","active":true,"usgs":false}],"preferred":false,"id":927958,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reimer, Cameron Joseph 0000-0002-2058-0538","orcid":"https://orcid.org/0000-0002-2058-0538","contributorId":346490,"corporation":false,"usgs":true,"family":"Reimer","given":"Cameron Joseph","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":927959,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Reiss, Samantha L.","contributorId":346491,"corporation":false,"usgs":false,"family":"Reiss","given":"Samantha L.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":927960,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rowe, Erika R.","contributorId":346492,"corporation":false,"usgs":false,"family":"Rowe","given":"Erika R.","affiliations":[{"id":82880,"text":"New Mexico Energy Minerals and Natural Resources Department","active":true,"usgs":false}],"preferred":false,"id":927961,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sandbom, Katie L.","contributorId":346493,"corporation":false,"usgs":false,"family":"Sandbom","given":"Katie L.","affiliations":[{"id":27594,"text":"Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":927962,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Whipple, Sarah E. 0000-0001-9280-1195","orcid":"https://orcid.org/0000-0001-9280-1195","contributorId":343558,"corporation":false,"usgs":true,"family":"Whipple","given":"Sarah","email":"","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":927963,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70259675,"text":"ofr20241046 - 2024 - Lidar estimation of storage capacity for managed water resources used by Desert Bighorn Sheep (Ovis canadensis mexicana) at Cabeza Prieta National Wildlife Refuge, Arizona","interactions":[],"lastModifiedDate":"2025-12-22T20:10:11.238295","indexId":"ofr20241046","displayToPublicDate":"2024-10-22T14:07:11","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1046","displayTitle":"Lidar Estimation of Storage Capacity for Managed Water Resources Used by Desert Bighorn Sheep (Ovis canadensis mexicana) at Cabeza Prieta National Wildlife Refuge, Arizona","title":"Lidar estimation of storage capacity for managed water resources used by Desert Bighorn Sheep (Ovis canadensis mexicana) at Cabeza Prieta National Wildlife Refuge, Arizona","docAbstract":"

In cooperation with the U.S. Fish and Wildlife Service, the U.S. Geological Survey Southwest Biological Science Center employed ground-based light detection and ranging (lidar) during February 2022 to help meet two resource management objectives at the Cabeza Prieta National Wildlife Refuge (CPNWR), Arizona. The two objectives are (1) characterize the water storage capacity for one developed and two modified tanks, which are bedrock catchments also referred to as tinajas, that are important water sources for desert bighorn sheep (Ovis canadensis mexicana) in designated wilderness at the CPNWR; and (2) develop a stage-storage model to estimate water volumes from monitoring observations of water surface levels in each tank. We measured storage capacity for the three tanks identified by refuge managers, Buckhorn, Senita, and Eagle, using ground-based lidar collected during February 2022. These data produced high-resolution (centimeter scale) topographic models that improved estimates of maximum water storage capacity over previous geometry-based estimates, permitting estimations of storage capacity at multiple water surface levels (stage heights). We found that the maximum water storage capacity for the Buckhorn, Senita, and Eagle tanks was 9,108.730, 8,623.308, and 6,039.603 US gallons (gal), respectively. For each tank we report a stage-storage model based on a polynomial function that best explained variability in water storage capacity as a function of water stage height. The results presented herein will permit the CPNWR managers to (1) easily estimate water available for wildlife at any point of time, (2) interpret tank recharge following rainstorms, and (3) decide whether and when to transport water via vehicles to mechanically refill the tanks in designated wilderness.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241046","collaboration":"Prepared in cooperation with U.S. Fish and Wildlife Service","usgsCitation":"Sankey, J.B., Caster, J., Bransky, N., Fuest, S., Sesnie, S., and Bedford, A., 2024, Lidar estimation of storage capacity for managed water resources used by desert bighorn sheep (Ovis canadensis mexicana) at Cabeza Prieta National Wildlife Refuge, Arizona: U.S. Geological Survey Open-File Report 2024–1046, 51 p., https://doi.org/10.3133/ofr20241046.","productDescription":"Report: viii, 51 p.; Data Release","numberOfPages":"51","onlineOnly":"Y","ipdsId":"IP-147780","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":497879,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117733.htm","linkFileType":{"id":5,"text":"html"}},{"id":463012,"rank":6,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1046/images"},{"id":463011,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241046/full"},{"id":463010,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1046/ofr20241046.xml"},{"id":463009,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1046/ofr20241046.pdf","text":"Report","size":"15 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":463008,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1046/covrthb.jpg"},{"id":463007,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9U6UYA0","description":"Caster, J., Bransky, N., Sankey, J.B., Doerries, S., Sesnie, S., and Bedford, A., 2024, Data collected for estimation of storage capacity at managed water resources used by Desert Bighorn Sheep in Cabeza Prieta National Wildlife Refuge, Arizona, February 2022: U.S. Geological Survey data release, https://doi.org/10.5066/P9U6UYA0.","linkHelpText":"Data collected for estimation of storage capacity at managed water resources used by Desert Bighorn Sheep in Cabeza Prieta National Wildlife Refuge, Arizona, February 2022"}],"country":"United States","state":"Arizona","otherGeospatial":"Cabeza Prieta National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.06241638536036,\n 32.216227063899524\n ],\n [\n -112.99182918961803,\n 31.87845678988026\n ],\n [\n -112.99601272237372,\n 32.134724889538845\n ],\n [\n -112.83497036004906,\n 32.13248007225823\n ],\n [\n -112.80727933959541,\n 32.37642090886048\n ],\n [\n -112.77701599473573,\n 32.66128486132219\n ],\n [\n -113.26041443223556,\n 32.66128486132219\n ],\n [\n -113.24942810411025,\n 32.550226527248725\n ],\n [\n -114.07340271348566,\n 32.540965452607495\n ],\n [\n -114.06241638536036,\n 32.216227063899524\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Southwest Biological Science Center
U.S. Geological Survey
2255 N. Gemini Drive
Flagstaff, AZ 86001

","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2024-10-22","noUsgsAuthors":false,"publicationDate":"2024-10-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Sankey, Joel B. 0000-0003-3150-4992","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":261248,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":916214,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caster, Joshua 0000-0002-2858-1228 jcaster@usgs.gov","orcid":"https://orcid.org/0000-0002-2858-1228","contributorId":199033,"corporation":false,"usgs":true,"family":"Caster","given":"Joshua","email":"jcaster@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":916215,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bransky, Nathaniel D. 0000-0003-3113-7491","orcid":"https://orcid.org/0000-0003-3113-7491","contributorId":305709,"corporation":false,"usgs":true,"family":"Bransky","given":"Nathaniel","middleInitial":"D.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":916216,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuest, Stephanie","contributorId":336623,"corporation":false,"usgs":false,"family":"Fuest","given":"Stephanie","email":"","affiliations":[{"id":80806,"text":"U.S. Fish and Wildlife Service, Cabeza Prieta National Wildlife Refuge, Ajo, AZ, USA","active":true,"usgs":false}],"preferred":true,"id":916217,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sesnie, Steven","contributorId":239687,"corporation":false,"usgs":false,"family":"Sesnie","given":"Steven","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":true,"id":916218,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bedford, Ashton","contributorId":173298,"corporation":false,"usgs":false,"family":"Bedford","given":"Ashton","email":"","affiliations":[{"id":27207,"text":"NAU and NPS","active":true,"usgs":false}],"preferred":false,"id":916219,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70265971,"text":"70265971 - 2024 - Thinking beyond the closure assumption: Designing surveys for estimating biological truth with occupancy models","interactions":[],"lastModifiedDate":"2025-04-22T17:44:22.508598","indexId":"70265971","displayToPublicDate":"2024-10-22T12:41:25","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Thinking beyond the closure assumption: Designing surveys for estimating biological truth with occupancy models","docAbstract":"
  1. Occupancy models estimate distributions of imperfectly detected species, but violations of the closure assumption can bias results. However, researchers working with mobile animals may find it impossible to eliminate such violations. Here, we tested the hypothesis that occupancy models fit to realistic sampling data can generate unbiased occupancy estimates for an itinerant Wood Thrush (Hylocichla mustelina) population.
  2. In 2013 and 2014, we tracked movements of 41 breeding Wood Thrush males. We modelled territory shift probabilities using logistic exposure models and within-territory movements using continuous-time stochastic process models. We then constructed an individual-based model, simulated (1000 iterations) spatiotemporal locations for individuals and simulated sampling these populations using 162 different point count protocols with variable spatial (sampling radius and point placement method), and temporal (survey length, between-survey intervals and number of surveys) characteristics. We compared occupancy estimates with true values of instantaneous, daily and seasonal occupancy from the simulations.
  3. We parameterized continuous time stochastic process models based on movements within 34 unique territories and estimated a daily territory shift probability of 0.0099 (95% CI: 0.0060, 0.0152). Simulated data indicated that estimates of occupancy ranged from 0.18 (0.06, 1.00) to 0.80 (0.71, 0.89) depending on protocol characteristics. Occupancy estimates increased with increasing survey radius, survey length and between-survey interval. Protocols using shorter surveys and between-survey intervals were good estimators for instantaneous occupancy (low bias and mean-squared error) but poor estimators for daily and seasonal occupancy; longer surveys and intervals generated unbiased estimators of daily occupancy but underestimated seasonal occupancy. Logistic regression models that ignored imperfect detection outperformed occupancy models for estimating instantaneous occupancy but not daily or seasonal occupancy.
  4. For mobile animals, occupancy of sampling sites changes in space and time. Consequently, the spatial and temporal aspects of a sampling protocol have strong, but predictable, effects on occupancy model parameter estimates. Our results demonstrate that how these factors interact is critical for designing surveys that produce occupancy estimates representative of the biological process of interest to a researcher.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.14439","usgsCitation":"Valente, J., Jirinec, V., and Leu, M., 2024, Thinking beyond the closure assumption: Designing surveys for estimating biological truth with occupancy models: Methods in Ecology and Evolution, v. 15, no. 12, p. 2289-2300, https://doi.org/10.1111/2041-210X.14439.","productDescription":"12 p.","startPage":"2289","endPage":"2300","ipdsId":"IP-160598","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":488491,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.14439","text":"Publisher Index Page"},{"id":484858,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"12","noUsgsAuthors":false,"publicationDate":"2024-10-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Valente, Jonathon Joseph 0000-0002-6519-3523","orcid":"https://orcid.org/0000-0002-6519-3523","contributorId":340615,"corporation":false,"usgs":true,"family":"Valente","given":"Jonathon Joseph","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":934205,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jirinec, Vitek","contributorId":353638,"corporation":false,"usgs":false,"family":"Jirinec","given":"Vitek","affiliations":[{"id":27598,"text":"Integral Ecology Research Center","active":true,"usgs":false}],"preferred":false,"id":934206,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leu, Matthias","contributorId":353639,"corporation":false,"usgs":false,"family":"Leu","given":"Matthias","affiliations":[{"id":6686,"text":"College of William and Mary","active":true,"usgs":false}],"preferred":false,"id":934207,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70204905,"text":"70204905 - 2024 - Amphibian monitoring in hardwood forests: Optimizing methods for contaminant‐based compensatory restorations","interactions":[],"lastModifiedDate":"2024-10-23T15:46:04.499216","indexId":"70204905","displayToPublicDate":"2024-10-22T11:18:59","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"title":"Amphibian monitoring in hardwood forests: Optimizing methods for contaminant‐based compensatory restorations","docAbstract":"

Amphibians such as frogs, toads, and salamanders provide important services in aquatic and terrestrial ecosystems and have been proposed as useful indicators of progress and success for ecological restoration projects. Limited guidance is available, however, on the costs and benefits of different amphibian monitoring techniques that might be applied to sites restored in compensation for contaminant injury. We used a variety of methods to document the amphibian communities present at 4 restored bottomland hardwood sites in Indiana, USA, and to compare the information return and cost of each method. For 1 method—automated recording units—we also modeled the effect of varying levels of sampling effort on the number of species detected, using sample-based rarefaction and Bayesian nonlinear (Michaelis–Menten) mixed effects models. We detected 13 amphibian species across the restored sites, including 2 species of conservation concern in Indiana—northern leopard frogs (Lithobates pipiens) and Blanchard's cricket frogs (Acris blanchardi). Sites across a range of restoration ages demonstrated encouraging returns of amphibian communities. Although more mature sites showed greater species richness, recently restored sites still provided important habitat for amphibians, including species of conservation concern. Among the 4 methods compared, amphibian rapid assessment yielded the highest number of species detected and the greatest catch per unit effort, with the lowest per-site cost. Our analysis of level-of-effort effects in the rarefied acoustic data found that number of nights sampled was a better predictor of observed species richness than the number of hours sampled within a night or minutes sampled within an hour. These data will assist restoration practitioners in selecting amphibian monitoring methods appropriate for their site characteristics and budget.

","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/ieam.4202","usgsCitation":"Kunz, B.K., Waddle, H., and Green, N., 2024, Amphibian monitoring in hardwood forests: Optimizing methods for contaminant‐based compensatory restorations: Integrated Environmental Assessment and Management, v. 20, no. 6, p. 1939-1953, https://doi.org/10.1002/ieam.4202.","productDescription":"15 p.; Data Release","startPage":"1939","endPage":"1953","ipdsId":"IP-105759","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":466831,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ieam.4202","text":"Publisher Index Page"},{"id":437373,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9SFRUZJ","text":"USGS data release","linkHelpText":"Amphibian monitoring data collected from Indiana hardwood forests, 2015-2016"},{"id":366853,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Indiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.78125,\n 40.613952441166596\n ],\n [\n -84.825439453125,\n 40.613952441166596\n ],\n [\n -84.825439453125,\n 41.74672584176937\n ],\n [\n -85.78125,\n 41.74672584176937\n ],\n [\n -85.78125,\n 40.613952441166596\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"6","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2019-08-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Kunz, Bethany K. 0000-0002-7193-9336 bkunz@usgs.gov","orcid":"https://orcid.org/0000-0002-7193-9336","contributorId":3798,"corporation":false,"usgs":true,"family":"Kunz","given":"Bethany","email":"bkunz@usgs.gov","middleInitial":"K.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":768967,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waddle, Hardin 0000-0003-1940-2133","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":201976,"corporation":false,"usgs":true,"family":"Waddle","given":"Hardin","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":768968,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Green, Nicholas S. 0000-0002-8538-4191","orcid":"https://orcid.org/0000-0002-8538-4191","contributorId":202040,"corporation":false,"usgs":true,"family":"Green","given":"Nicholas S.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":768969,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70263794,"text":"70263794 - 2024 - Climatic drought and trophic disruption in an endemic subalpine Hawaiian forest bird","interactions":[],"lastModifiedDate":"2025-02-24T15:27:11.563129","indexId":"70263794","displayToPublicDate":"2024-10-22T09:23:30","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Climatic drought and trophic disruption in an endemic subalpine Hawaiian forest bird","docAbstract":"
Overexploitation, habitat conversion, and introduced species have caused unprecedented extinctions and heavily degraded native bird populations in island ecosystems. In the Hawaiian Islands, stemming these losses has proven difficult as the highly specialized avifauna are often impacted – among other things – by poorly understood trophic disruptions as well as persistent climatic shifts. Here we investigate these dynamics by examining the trophic positions of 7 different taxa of producers and consumers across the last century in the subalpine māmane (Sophora chrysophylla) forest ecosystem on the island of Hawaiʻi. From museum collections and contemporary sampling, we analyzed the stable nitrogen (δ15N) values of producers and consumers to identify trophic and source amino acids and derive trophic enrichment constants specific to this food web. This enables us to reconstruct the diet of the palila (Loxioides bailleui), a critically endangered finch whose population recently declined 90 %. Our results show that from 1890 to 2006, the palila trophic position declined from 2.6 to 2.2, with cascading implications for its diet. Bayesian mixing model reconstructions indicate that palila trophic position changes likely arose from a 76 % decline (69.3 % to 16.6 % of diet) in the consumption of native moth caterpillars, and a 172 % increase (30.7 % to 83.4 %) in native plants. From the available ecosystem variables, exploratory Bayesian multiple regressions selected surface temperature changes, and the interactions of surface temperatures with drought and caterpillar parasitism as the primary drivers of these trophic changes. Despite the predicted increases of warming and drought, management interventions may build resiliency in this unique island ecosystem.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2024.110823","usgsCitation":"Van Houtan, K.S., Gagné, T., Banko, P.C., Hagemann, M., Peck, R., and Yarnes, C.T., 2024, Climatic drought and trophic disruption in an endemic subalpine Hawaiian forest bird: Biological Conservation, v. 299, 110823, 9 p., https://doi.org/10.1016/j.biocon.2024.110823.","productDescription":"110823, 9 p.","ipdsId":"IP-080109","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":482375,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Mauna Kea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.57823862246346,\n 19.904330514619744\n ],\n [\n -155.57823862246346,\n 19.730854725238757\n ],\n [\n -155.36585210018677,\n 19.730854725238757\n ],\n [\n -155.36585210018677,\n 19.904330514619744\n ],\n [\n -155.57823862246346,\n 19.904330514619744\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"299","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Van Houtan, Kyle S.","contributorId":339177,"corporation":false,"usgs":false,"family":"Van Houtan","given":"Kyle","email":"","middleInitial":"S.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":928311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gagné, Tyler O.","contributorId":351280,"corporation":false,"usgs":false,"family":"Gagné","given":"Tyler O.","affiliations":[{"id":6953,"text":"Monterey Bay Aquarium","active":true,"usgs":false}],"preferred":false,"id":928312,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Banko, Paul C. 0000-0002-6035-9803 pbanko@usgs.gov","orcid":"https://orcid.org/0000-0002-6035-9803","contributorId":3179,"corporation":false,"usgs":true,"family":"Banko","given":"Paul","email":"pbanko@usgs.gov","middleInitial":"C.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":928313,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hagemann, Molly E.","contributorId":351281,"corporation":false,"usgs":false,"family":"Hagemann","given":"Molly E.","affiliations":[{"id":34926,"text":"Bishop Museum","active":true,"usgs":false}],"preferred":false,"id":928314,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peck, Robert W. 0000-0002-8739-9493","orcid":"https://orcid.org/0000-0002-8739-9493","contributorId":193088,"corporation":false,"usgs":false,"family":"Peck","given":"Robert W.","affiliations":[],"preferred":false,"id":928315,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yarnes, Christopher T.","contributorId":190916,"corporation":false,"usgs":false,"family":"Yarnes","given":"Christopher","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":928316,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70261384,"text":"70261384 - 2024 - Predicted occurrence of Eastern Newts (Notophthalmus viridescens viridescens) across the northeastern United States","interactions":[],"lastModifiedDate":"2024-12-06T14:53:40.305095","indexId":"70261384","displayToPublicDate":"2024-10-22T08:51:14","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1892,"text":"Herpetologica","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Predicted occurrence of Eastern Newts (Notophthalmus viridescens viridescens) across the northeastern United States","title":"Predicted occurrence of Eastern Newts (Notophthalmus viridescens viridescens) across the northeastern United States","docAbstract":"Effective conservation is becoming more difficult as threats to wildlife increase. Natural resource managers are pressured to make difficult decisions with limited resources, and in many instances, large uncertainty. Scientists and managers tasked with the conservation of a species need tools to help guide efficient decision-making. Often, information for management decisions is insufficient. Tools that help to inform decision makers and address uncertainty are invaluable to effective conservation initiatives. The objective of our study was to create a model to best predict Eastern Newt (Notophthalmus viridescens viridescens) breeding occurrence across the northeastern United States. We estimated relationships between breeding newt field survey data and landscape-level covariates while accounting for imperfect detection. We then used those relationships to map expected newt breeding site occupancy across the northeastern United States. We find that newt breeding occupancy is inversely correlated to the amount of human influence in a landscape, highlighting a key existing threat to Eastern Newts that may be exacerbated by the introduction of novel pathogens, such as the fungal pathogen Batrachochytrium salamandrivorans.","language":"English","publisher":"Allen Press","doi":"10.1655/Herpetologica-D-22-00034","usgsCitation":"Pekurny, L., Campbell Grant, E.H., and Mosher, B., 2024, Predicted occurrence of Eastern Newts (Notophthalmus viridescens viridescens) across the northeastern United States: Herpetologica, v. 80, no. 4, p. 307-313, https://doi.org/10.1655/Herpetologica-D-22-00034.","productDescription":"7 p.","startPage":"307","endPage":"313","ipdsId":"IP-144719","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":464882,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pekurny, Lindsey","contributorId":346979,"corporation":false,"usgs":false,"family":"Pekurny","given":"Lindsey","email":"","affiliations":[{"id":18160,"text":"Rubenstein School of Environment and Natural Resources, University of Vermont","active":true,"usgs":false}],"preferred":false,"id":920457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":920458,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mosher, Brittany A.","contributorId":337881,"corporation":false,"usgs":false,"family":"Mosher","given":"Brittany A.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":920459,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70259743,"text":"70259743 - 2024 - Rappahannock tributary summary: A summary of trends in tidal water quality and associated factors, 1985-2022","interactions":[],"lastModifiedDate":"2024-10-23T13:34:14.899001","indexId":"70259743","displayToPublicDate":"2024-10-22T08:24:23","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Rappahannock tributary summary: A summary of trends in tidal water quality and associated factors, 1985-2022","docAbstract":"

The Rappahannock Tributary Summary outlines change over time for a suite of monitored tidal water quality parameters and associated potential drivers of those trends for the period of 1985 to 2022, and provides a brief description of the current state of knowledge explaining these observed changes. Water quality parameters described include surface (above pycnocline) total nitrogen (TN), surface total phosphorus (TP), surface water temperature (WTEMP), spring (March-May) and summer (JulySeptember) surface chlorophyll a, summer bottom (below pycnocline) dissolved oxygen (DO) concentrations, and Secchi disk depth (a measure of water clarity). Results for annual bottom TP, bottom TN, surface ortho-phosphate (PO4), surface dissolved inorganic nitrogen (DIN), surface total suspended solids (TSS), and summer surface DO concentrations are provided in Appendix B. Drivers discussed include physiographic watershed characteristics, changes in TN, TP, and sediment loads from the watershed to tidal waters, expected effects of changing land use, and implementation of nutrient management and natural resource conservation practices. Factors internal to estuarine waters that also play a role as drivers are described including biogeochemical processes, physical forces such as winddriven mixing of the water column and increase in rainfall intensity and volume, and biological factors such as phytoplankton biomass and the presence of submerged aquatic vegetation. Continuing to track water quality response and investigating these influencing factors are important steps to understanding water quality patterns and changes in the Rappahannock River. The intended audiences for this report include, but are not limited to, 1) technical managers within jurisdictions who are looking at tidal water quality data and trying to understand why patterns are occurring, 2) local watershed organizations that are trying to understand these analyses and working to connect them to their local area(s), and 3) federal, state, and academic researchers. Figure 1 presents a conceptual model highlighting these intended audiences. Our goal is for the Tributary Summary documents to be sources of readily available background for change over time in tidal water quality observed with monitoring data. The intended purpose of the Tributary Summary documents is to help answer questions related to water quality, show how landscape factors drive water quality change over time, provide support for management decisions that may alter water quality trends and living resources conditions, and highlight where there may be information or knowledge gaps.

","language":"English","publisher":"Chesapeake Bay Program","usgsCitation":"Sullivan, B.M., Gootman, K., Gunnerson, A., Betts, S., Johnson, C., Mason, C.A., Perry, E., Bhatt, G., Keisman, J.L., Webber, J.S., Harcum, J., Lane, M.F., Devereux, O., Zhang, Q., Murphy, R., Karrh, R., Butler, T., Van Note, V., and Wei, A., 2024, Rappahannock tributary summary: A summary of trends in tidal water quality and associated factors, 1985-2022, 76 p.","productDescription":"76 p.","ipdsId":"IP-166220","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":463100,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.chesapeakebay.net/who/group/integrated-trends-analysis-team"},{"id":463120,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Rappahannock River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.29260072491434,\n 37.52294519779164\n ],\n [\n -76.33132309399065,\n 37.68315280694503\n ],\n [\n -77.31659226271503,\n 38.276630411097585\n ],\n [\n -77.73393335165063,\n 38.804970740693534\n ],\n [\n -78.18999680966259,\n 38.72781332000861\n ],\n [\n -78.43093599502787,\n 38.32390107978463\n ],\n [\n -78.46105339319813,\n 38.13801778075705\n ],\n [\n -78.10824958605696,\n 38.03642675680268\n ],\n [\n -77.6306737007799,\n 38.13801778075705\n ],\n [\n -76.29260072491434,\n 37.52294519779164\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sullivan, Breck Maura 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Science","active":true,"usgs":false}],"preferred":false,"id":916572,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70259779,"text":"70259779 - 2024 - Managing water for birds— A tool for the Malheur National Wildlife Refuge","interactions":[{"subject":{"id":70259779,"text":"70259779 - 2024 - Managing water for birds— A tool for the Malheur National Wildlife Refuge","indexId":"70259779","publicationYear":"2024","noYear":false,"title":"Managing water for birds— A tool for the Malheur National Wildlife Refuge"},"predicate":"SUPERSEDED_BY","object":{"id":70266893,"text":"sir20255024 - 2025 - Managing water for birds—A tool for the Malheur National Wildlife Refuge, southeastern Oregon","indexId":"sir20255024","publicationYear":"2025","noYear":false,"title":"Managing water for birds—A tool for the Malheur National Wildlife Refuge, southeastern Oregon"},"id":1}],"supersededBy":{"id":70266893,"text":"sir20255024 - 2025 - Managing water for birds—A tool for the Malheur National Wildlife Refuge, southeastern Oregon","indexId":"sir20255024","publicationYear":"2025","noYear":false,"title":"Managing water for birds—A tool for the Malheur National Wildlife Refuge, southeastern Oregon"},"lastModifiedDate":"2025-05-16T21:34:49.324965","indexId":"70259779","displayToPublicDate":"2024-10-22T08:12:46","publicationYear":"2024","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":18754,"text":"EcoEvoRxiv","active":true,"publicationSubtype":{"id":32}},"title":"Managing water for birds— A tool for the Malheur National Wildlife Refuge","docAbstract":"The “Water for Birds Tool” is an Excel-based model designed for resource managers to assess the spatial extent and types of bird habitats in the Malheur National Wildlife Refuge. The model quantifies the area of open water, partial water, and water depths on a monthly timescale during the irrigation season (April–July) from 2021–2024. This model combines previously published datasets and incorporates new measurements collected by partners. Results show that the relation between the amount of bird habitat and the extent (partial and open water) of Malheur Lake varies by bird guild. The Donner und Blitzen River supplied nearly all the surface water inflow to Malheur Lake during the analysis years, emphasizing the importance of informed management of the river. Additional gaging of inflows and diversions, and better estimates of recharge and irrigated areas, will refine estimates of water use on the refuge.","language":"English","publisher":"EcoEvoRxiv","doi":"10.32942/X2N03N","usgsCitation":"Smith, C., 2024, Managing water for birds— A tool for the Malheur National Wildlife Refuge: EcoEvoRxiv, https://doi.org/10.32942/X2N03N.","productDescription":"53 p.","ipdsId":"IP-171716","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":489858,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.32942/x2n03n","text":"Publisher Index Page"},{"id":463147,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Cassandra 0000-0003-1088-1772 cassandrasmith@usgs.gov","orcid":"https://orcid.org/0000-0003-1088-1772","contributorId":193491,"corporation":false,"usgs":true,"family":"Smith","given":"Cassandra","email":"cassandrasmith@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":916652,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70260843,"text":"70260843 - 2024 - Evaluating hydrologic model performance for characterizing streamflow drought in the conterminous United States","interactions":[],"lastModifiedDate":"2025-02-14T16:20:55.493405","indexId":"70260843","displayToPublicDate":"2024-10-21T09:10:07","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating hydrologic model performance for characterizing streamflow drought in the conterminous United States","docAbstract":"

Hydrologic models are the primary tools that are used to simulate streamflow drought and assess impacts. However, there is little consensus about how to evaluate the performance of these models, especially as hydrologic modeling moves toward larger spatial domains. This paper presents a comprehensive multi-objective approach to systematically evaluating the critical features in streamflow drought simulations performed by two widely used hydrological models. The evaluation approach captures how well a model classifies observed periods of drought and non-drought, quantifies error components during periods of drought, and assesses the models’ simulations of drought severity, duration, and intensity. We apply this approach at 4662 U.S. Geological Survey streamflow gages covering a wide range of hydrologic conditions across the conterminous U.S. from 1985 to 2016 to evaluate streamflow drought using two national-scale hydrologic models: the National Water Model (NWM) and the National Hydrologic Model (NHM); therefore, a benchmark against which to evaluate additional models is provided. Using this approach, we find that generally the NWM better simulates the timing of flows during drought, while the NHM better simulates the magnitude of flows during drought. Both models performed better in wetter eastern regions than in drier western regions. Finally, each model showed increased error when simulating the most severe drought events.

","language":"English","publisher":"MDPI","doi":"10.3390/w16202996","usgsCitation":"Simeone, C., Foks, S., Towler, E., Hodson, T.O., and Over, T.M., 2024, Evaluating hydrologic model performance for characterizing streamflow drought in the conterminous United States: Water, v. 16, no. 20, 2996, 22 p., https://doi.org/10.3390/w16202996.","productDescription":"2996, 22 p.","ipdsId":"IP-157287","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":466835,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w16202996","text":"Publisher Index Page"},{"id":463869,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"conterminous United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"geometry\": {\n \"type\": \"MultiPolygon\",\n 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Sydney 0000-0002-7668-9735","orcid":"https://orcid.org/0000-0002-7668-9735","contributorId":205290,"corporation":false,"usgs":true,"family":"Foks","given":"Sydney","email":"","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":918271,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Towler, Erin 0000-0002-1784-1346","orcid":"https://orcid.org/0000-0002-1784-1346","contributorId":292891,"corporation":false,"usgs":false,"family":"Towler","given":"Erin","email":"","affiliations":[{"id":6648,"text":"National Center for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":918272,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hodson, Timothy O. 0000-0003-0962-5130","orcid":"https://orcid.org/0000-0003-0962-5130","contributorId":78634,"corporation":false,"usgs":true,"family":"Hodson","given":"Timothy","email":"","middleInitial":"O.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":918273,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Over, Thomas M. 0000-0001-8280-4368","orcid":"https://orcid.org/0000-0001-8280-4368","contributorId":204650,"corporation":false,"usgs":true,"family":"Over","given":"Thomas","email":"","middleInitial":"M.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":918274,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70264051,"text":"70264051 - 2024 - Transfer learning with convolutional neural networks for hydrological streamline delineation","interactions":[],"lastModifiedDate":"2025-03-05T15:33:15.616325","indexId":"70264051","displayToPublicDate":"2024-10-21T08:29:13","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"Transfer learning with convolutional neural networks for hydrological streamline delineation","docAbstract":"

Hydrological streamline delineation is critical for effective environmental management, influencing agriculture sustainability, river dynamics, watershed planning, and more. This study develops a novel approach to combining transfer learning with convolutional neural networks that capitalize on image-based pre-trained models to improve the accuracy and transferability of streamline delineation. We evaluate the performance of eleven image-based pre-trained models and a baseline model using datasets from Rowan County, North Carolina, and Covington River, Virginia in the USA. Our results demonstrate that when models are adapted to a new area, the fine-tuned ImageNet pre-trained model exhibits superior predictive accuracy, markedly higher than the models trained from scratch or those only fine-tuned on the same area. Moreover, the pre-trained model achieves better smoothness and connectivity between classified streamline channels. These findings underline the effectiveness of transfer learning in enhancing the delineation of hydrological streamlines across varied geographies, offering a scalable solution for accurate and efficient environmental modelling.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2024.106165","usgsCitation":"Jaroenchai, N., Wang, S., Stanislawski, L., Shavers, E.J., Jiang, Z., Sagan, V., and Usery, E., 2024, Transfer learning with convolutional neural networks for hydrological streamline delineation: Environmental Modelling and Software, v. 181, 106165, 13 p., https://doi.org/10.1016/j.envsoft.2024.106165.","productDescription":"106165, 13 p.","ipdsId":"IP-147899","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":487400,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envsoft.2024.106165","text":"Publisher Index Page"},{"id":482900,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina, 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(CEGIS)","active":true,"usgs":true}],"preferred":true,"id":929606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shavers, Ethan J. 0000-0001-9470-5199 eshavers@usgs.gov","orcid":"https://orcid.org/0000-0001-9470-5199","contributorId":206890,"corporation":false,"usgs":true,"family":"Shavers","given":"Ethan","email":"eshavers@usgs.gov","middleInitial":"J.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":929607,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jiang, Zhe","contributorId":267317,"corporation":false,"usgs":false,"family":"Jiang","given":"Zhe","email":"","affiliations":[{"id":36730,"text":"University of Alabama","active":true,"usgs":false}],"preferred":false,"id":929608,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sagan, Vasit","contributorId":351861,"corporation":false,"usgs":false,"family":"Sagan","given":"Vasit","affiliations":[{"id":30787,"text":"Saint Louis University","active":true,"usgs":false}],"preferred":false,"id":929609,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Usery, E. Lynn 0000-0002-2766-2173","orcid":"https://orcid.org/0000-0002-2766-2173","contributorId":351862,"corporation":false,"usgs":false,"family":"Usery","given":"E. Lynn","affiliations":[{"id":84064,"text":"Center Excellence for Geospatial Information Science","active":true,"usgs":false}],"preferred":false,"id":929610,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70262333,"text":"70262333 - 2024 - The potential for species distribution models to distinguish source populations from sinks","interactions":[],"lastModifiedDate":"2025-01-16T15:26:36.240847","indexId":"70262333","displayToPublicDate":"2024-10-21T08:15:26","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The potential for species distribution models to distinguish source populations from sinks","docAbstract":"

1. While species distribution models (SDM) are frequently used to predict species occurrences to help inform conservation management, there is limited evidence evaluating whether habitat suitability can reliably predict intrinsic growth rates or distinguish source from sink populations. Filling this knowledge gap is critical for conservation science, as applications of SDMs for management purposes ultimately depend on these typically unobserved population or metapopulation dynamics.

2. Using regression, we associate previously published population level estimates of intrinsic growth and abundance derived from a Bayesian analysis of mark-recapture data for 17 bird species found in the contiguous United States with SDM habitat suitability estimates fitted here to opportunistic data for these same species. We then use AUC to measure how well SDMs can distinguish populations categorized as sources and sinks, depending on their intrinsic growth rates estimated from the mark-recapture data. We built SDMs using two different approaches, boosted regression trees (BRT) and Generalized Linear Models (GLM), and compared their predictive performance. Each SDM was built with presence points obtained from eBird and 10 environmental variables previously selected to model intrinsic growth rates and abundance for these species.

3. We show that SDMs built with opportunistic data are poor predictors of species demography in general; both BRT and GLM explained very little spatial variation of intrinsic growth rate and population abundance (median R2 across 17 species was close to 0.1 for both SDM methods). SDMs do, however, estimate higher suitability for source populations as compared to sinks. Out of 13 species which had both source and sink populations, both BRT and GLM had AUC values greater than 0.7 for 7 species when discriminating between sources and sinks.

4. Habitat suitability have the potential to be a useful measure to indicate a population’s ability to sustain itself as a source population, however more research on a diverse set of taxa is essential to fully explore this potential. This interpretation of habitat suitability can be particularly useful for conservation practice, and identification of explicit cases of when and how SDMs fail to match population demography can be informative for advancing ecological theory.

","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.14201","usgsCitation":"Sen, B., Che-Castaldo, C., and Akcakaya, H., 2024, The potential for species distribution models to distinguish source populations from sinks: Journal of Animal Ecology, v. 93, no. 12, p. 1924-1934, https://doi.org/10.1111/1365-2656.14201.","productDescription":"11 p.","startPage":"1924","endPage":"1934","ipdsId":"IP-158846","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":466628,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -175.4084296383991,\n 66.17186948114775\n ],\n [\n -100.17434031407315,\n 12.63468703827597\n ],\n [\n -85.66593869303364,\n 18.09834816624732\n ],\n [\n -42.328707061672674,\n 53.28958825316239\n ],\n [\n -85.66593869303364,\n 66.17186948114775\n ],\n [\n -139.1966547381836,\n 73.75892824404093\n ],\n [\n -175.4084296383991,\n 66.17186948114775\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"93","issue":"12","noUsgsAuthors":false,"publicationDate":"2024-10-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Sen, Bilgecan","contributorId":348874,"corporation":false,"usgs":false,"family":"Sen","given":"Bilgecan","affiliations":[{"id":36488,"text":"Stony Brook University","active":true,"usgs":false}],"preferred":false,"id":923843,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Che-Castaldo, Christian Joseph 0000-0002-7670-2178","orcid":"https://orcid.org/0000-0002-7670-2178","contributorId":347906,"corporation":false,"usgs":true,"family":"Che-Castaldo","given":"Christian Joseph","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":923844,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Akcakaya, H. Resit","contributorId":348875,"corporation":false,"usgs":false,"family":"Akcakaya","given":"H. Resit","affiliations":[{"id":36488,"text":"Stony Brook University","active":true,"usgs":false}],"preferred":false,"id":923845,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70259760,"text":"70259760 - 2024 - Leveraging extensive soil, vegetation, fire, and land treatment data to inform restoration across the sagebrush biome","interactions":[],"lastModifiedDate":"2024-10-24T12:05:32.87584","indexId":"70259760","displayToPublicDate":"2024-10-19T07:00:26","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Leveraging extensive soil, vegetation, fire, and land treatment data to inform restoration across the sagebrush biome","docAbstract":"

Context

Widespread ecological degradation has prompted calls for massive global investments in ecological restoration, yet limited resources necessitate efficient application of restoration efforts. In western North America, altered fire regimes are increasing the scale of restoration needed to preserve the sagebrush (Artemisia species) biome but prioritizing and implementing effective restoration is complicated by the vast and heterogeneous sagebrush landscape, which includes gradients in climate, disturbance, and species composition.

Objectives

To develop spatially explicit and context-dependent estimates of treatment efficacy and sagebrush recovery rates.

Methods

We leveraged a suite of spatio-temporally extensive datasets to evaluate the influence of restoration treatments and environmental conditions on trends in post-disturbance sagebrush cover, with an emphasis on understanding differences between sites recovering naturally and sites receiving restoration treatments. We used estimates from these models to develop spatially explicit projections for sagebrush recovery, conditional on disturbance, restoration practice, and environmental conditions.

Results

We found seeding Artemisia spp. increased sagebrush cover over time relative to natural recovery, but this relationship depended on spring soil moisture availability and treatment methods. Natural recovery was positively influenced by soil moisture and sagebrush cover and negatively influenced by cumulative burns and annual herbaceous cover, while the influence of perennial herbaceous cover varied with soil moisture.

Conclusions

Our results provide biome-wide insights and spatially explicit tools that can inform economic cost-effectiveness analyses, restoration prioritization tools, and other scientific endeavors to ensure managers have the tools and information needed to effectively steward the sagebrush biome in a rapidly changing world.

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