{"pageNumber":"118","pageRowStart":"2925","pageSize":"25","recordCount":40783,"records":[{"id":70245143,"text":"70245143 - 2023 - Identifying hydrologic signatures associated with streamflow depletion caused by groundwater pumping","interactions":[],"lastModifiedDate":"2023-06-19T15:55:44.490498","indexId":"70245143","displayToPublicDate":"2023-06-19T10:45:32","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Identifying hydrologic signatures associated with streamflow depletion caused by groundwater pumping","docAbstract":"<p><span>Groundwater pumping can reduce streamflow in nearby waterways (‘streamflow depletion’), a process which must be accounted for in integrated management of surface and groundwater resources. However, causal identification of streamflow depletion from hydrographs alone is challenging because pumping impacts are masked by other drivers of hydrologic variability. To identify potential indicators of streamflow depletion, we used synthetic hydrographs and an analytical streamflow depletion model to assess potential pumping impacts on specific hydrograph characteristics (‘hydrologic signatures’) for 215 streamgages spanning the conterminous United States (CONUS). We found that streamflow depletion commonly impacts signatures associated with seasonal and annual low flows and low flow recessions. The largest impacts occurred during dry years, suggesting streamflow depletion may be evident in dry years even where impacts are unmeasurable in wet years. Random forest models indicated that streamflow depletion could significantly impact Annual, Summer, and Fall signatures in most streams. Our finding that multiple hydrologic signatures are consistently responsive to streamflow depletion across CONUS suggests that the underlying hydrological processes linking pumping to streamflow reductions are consistent across diverse settings, information that will aid in identifying indicators of streamflow depletion from streamflow hydrographs.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.14877","usgsCitation":"Lapides, D.A., Zipper, S., and Hammond, J., 2023, Identifying hydrologic signatures associated with streamflow depletion caused by groundwater pumping: Hydrological Processes, v. 37, no. 4, e14877, 13 p., https://doi.org/10.1002/hyp.14877.","productDescription":"e14877, 13 p.","ipdsId":"IP-145169","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":443027,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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]\n}","volume":"37","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-04-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Lapides, Dana A.","contributorId":310433,"corporation":false,"usgs":false,"family":"Lapides","given":"Dana","email":"","middleInitial":"A.","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":875667,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zipper, Samuel 0000-0002-8735-5757","orcid":"https://orcid.org/0000-0002-8735-5757","contributorId":225160,"corporation":false,"usgs":false,"family":"Zipper","given":"Samuel","email":"","affiliations":[{"id":41056,"text":"Kansas Geological Survey, University of Kansas, Lawrence KS 66047, USA","active":true,"usgs":false}],"preferred":false,"id":875668,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hammond, John C. 0000-0002-4935-0736","orcid":"https://orcid.org/0000-0002-4935-0736","contributorId":223108,"corporation":false,"usgs":true,"family":"Hammond","given":"John C.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":875669,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70245145,"text":"70245145 - 2023 - Evaluating population trends of juvenile Atlantic Sturgeon at low abundance in a dynamic estuarine environment (Hudson River, New York)","interactions":[],"lastModifiedDate":"2023-09-20T16:18:28.999697","indexId":"70245145","displayToPublicDate":"2023-06-19T10:36:33","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating population trends of juvenile Atlantic Sturgeon at low abundance in a dynamic estuarine environment (Hudson River, New York)","docAbstract":"<p><span>Evaluating population trends in dynamic estuarine environments can be challenging, especially when survey data include a high percentage of zero observations. In fishery-independent surveys, zeros that come from reduced susceptibility to sample gears and reduced availability of the population to the survey impact survey catchability and negatively bias relative abundance indices. A zero-inflated negative binomial model was used to standardize a juvenile Atlantic Sturgeon (</span><i>Acipenser oxyrinchus oxyrinchus</i><span>) relative abundance index (Hudson River, New York) that included a high proportion (42%) of zero observations and intra- and interannually variable covariates. Reduced susceptibility was related to low water temperature, with the percentage of zeroes increasing rapidly below 7°C. Availability was influenced by temperature and distance to salt front, as catch rates increased with temperature and peaked in mesohaline waters ~27 km downstream of the predicted salt front. An alternative index suggested significant population growth (</span><i>r</i><span> = 0.15;&nbsp;</span><i>p</i><span>-value = 0.007) occurred from 2004 to 2015. The zero-inflated model helped better understand Hudson River juvenile Atlantic Sturgeon ecology and relative trends in abundance, to better inform future management and monitoring decisions along the Atlantic Coast.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/fme.12638","usgsCitation":"Dufour, M.R., and Qian, S.S., 2023, Evaluating population trends of juvenile Atlantic Sturgeon at low abundance in a dynamic estuarine environment (Hudson River, New York): Fisheries Management and Ecology, v. 30, no. 5, p. 507-520, https://doi.org/10.1111/fme.12638.","productDescription":"14 p.","startPage":"507","endPage":"520","ipdsId":"IP-133677","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":499248,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/fme.12638","text":"Publisher Index Page"},{"id":418213,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Haverstraw Bay, Hudson River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -73.98965367137986,\n              41.27278785874276\n            ],\n            [\n              -73.98810103364949,\n              41.21441540680195\n            ],\n            [\n              -73.96481146769594,\n              41.172354958942265\n            ],\n            [\n              -73.92754816217085,\n              41.15131460173012\n            ],\n            [\n              -73.85923210204054,\n              41.15365275277256\n            ],\n            [\n              -73.87010056615213,\n              41.1898834296822\n            ],\n            [\n              -73.9042585962173,\n              41.222590688889795\n            ],\n            [\n              -73.93686398855216,\n              41.24477558908072\n            ],\n            [\n              -73.94152190174316,\n              41.26578591767401\n            ],\n            [\n              -73.98965367137986,\n              41.27278785874276\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"30","issue":"5","noUsgsAuthors":false,"publicationDate":"2023-06-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Dufour, Mark Richard 0000-0001-6930-7666","orcid":"https://orcid.org/0000-0001-6930-7666","contributorId":291450,"corporation":false,"usgs":true,"family":"Dufour","given":"Mark","email":"","middleInitial":"Richard","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":875670,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Qian, Song S. 0000-0002-2346-4903","orcid":"https://orcid.org/0000-0002-2346-4903","contributorId":306033,"corporation":false,"usgs":false,"family":"Qian","given":"Song","email":"","middleInitial":"S.","affiliations":[{"id":62440,"text":"Department of Environmental Sciences, University of Toledo, Toledo, OH 43606","active":true,"usgs":false}],"preferred":false,"id":875671,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70245183,"text":"70245183 - 2023 - A hierarchical modelling framework for estimating individual- and population-level reproductive success from movement data","interactions":[],"lastModifiedDate":"2023-08-08T14:19:03.582056","indexId":"70245183","displayToPublicDate":"2023-06-19T07:06:50","publicationYear":"2023","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":"A hierarchical modelling framework for estimating individual- and population-level reproductive success from movement data","docAbstract":"<ol class=\"\"><li>Rapidly advancing animal telemetry technologies paired with new statistical models can provide insight into the behaviour of otherwise unobservable free-living animals. Changes in behaviour apparent from pairing telemetry with statistical models often occur as animals undertake key life-history activities, such as reproduction. For many species that are secretive or occupy remote areas, these life-history events are difficult to detect with conventional survey techniques, and consequently, vital rates are difficult to estimate.</li><li>We present a hierarchical modelling framework, which integrates movement data observed via animal-borne telemetry and optional, infrequent survey data, to estimate individual- and population-level reproductive success. The approach combines a mechanistic movement model and survival model, and allows for assessing the effects of hypothesized individual and environmental covariates on reproductive success. We first tested our approach with simulated data, and then applied it to movement data from migratory golden eagles (<i>Aquila chrysaetos)</i><span>&nbsp;</span>breeding in southcentral Alaska across four breeding seasons.</li><li>We show that results supported our biological hypotheses that changes in movement coincided with the timing of reproductive failures, and that changes in movement could be used to assess breeding success (and failure) at the individual and population levels. The analysis also provided evidence of inter-annual variation in population-level nest success and the timing of nesting failures.</li><li>This new approach is adaptable to many species that care for young and can be tracked with telemetry devices, and can provide not only individual-level information useful for testing ecological hypotheses, but estimates of demographic parameters that can directly inform conservation and management if tagged animals are representative of the population.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.14159","usgsCitation":"Eisaguirre, J.M., Williams, P.J., Brockman, J.C., Lewis, S.B., Barger, C., Breed, G.A., and Booms, T.L., 2023, A hierarchical modelling framework for estimating individual- and population-level reproductive success from movement data: Methods in Ecology and Evolution, v. 14, no. 8, p. 2110-2122, https://doi.org/10.1111/2041-210X.14159.","productDescription":"13 p.","startPage":"2110","endPage":"2122","ipdsId":"IP-147084","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":443034,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.14159","text":"Publisher Index Page"},{"id":435282,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98BYRS4","text":"USGS data release","linkHelpText":"Reproductive Success from Movement Data"},{"id":418286,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"8","noUsgsAuthors":false,"publicationDate":"2023-06-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Eisaguirre, Joseph Michael 0000-0002-0450-8472","orcid":"https://orcid.org/0000-0002-0450-8472","contributorId":301980,"corporation":false,"usgs":true,"family":"Eisaguirre","given":"Joseph","email":"","middleInitial":"Michael","affiliations":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"preferred":true,"id":875789,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Perry J.","contributorId":169058,"corporation":false,"usgs":false,"family":"Williams","given":"Perry","email":"","middleInitial":"J.","affiliations":[{"id":25400,"text":"U.S. Fish and Wildlife Service, Big Oaks National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":875790,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brockman, Julia C.","contributorId":302928,"corporation":false,"usgs":false,"family":"Brockman","given":"Julia","email":"","middleInitial":"C.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":875791,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lewis, Stephen B.","contributorId":200586,"corporation":false,"usgs":false,"family":"Lewis","given":"Stephen","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":875792,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barger, Christopher P.","contributorId":310493,"corporation":false,"usgs":false,"family":"Barger","given":"Christopher P.","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":875793,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Breed, Greg A.","contributorId":181943,"corporation":false,"usgs":false,"family":"Breed","given":"Greg","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":875794,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Booms, Travis L.","contributorId":199285,"corporation":false,"usgs":false,"family":"Booms","given":"Travis","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":875795,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70249193,"text":"70249193 - 2023 - Evaluation of nearshore bathymetric inversion algorithms using camera observations and synthetic numerical input of surface waves during storms","interactions":[],"lastModifiedDate":"2023-10-02T12:05:24.844076","indexId":"70249193","displayToPublicDate":"2023-06-19T07:01:41","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1262,"text":"Coastal Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of nearshore bathymetric inversion algorithms using camera observations and synthetic numerical input of surface waves during storms","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif text-s\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">Nearshore<span>&nbsp;</span>bathymetry<span>&nbsp;is difficult to measure using survey methods when wave heights approach the breaking limit.&nbsp;Remote sensing&nbsp;using digital cameras offers a way to observe the&nbsp;surf zone&nbsp;and calculate water depths based on phase speed but comes with its challenges of potentially noisy data that can introduce error into estimates of frequency and wavenumber used in phase speed calculation. This study investigates the robustness of a new version of a bathymetric inversion algorithm (cBathy, version 2.0) in moderate to energetic wave conditions by comparing depth estimates from timeseries’ of pixel intensity with depth estimates from synthetic water level data. The synthetic data are generated by the phase-resolving numerical model, SWASH, and optical data were collected during a field experiment in 2015. Model results from SWASH computed with known bathymetry are used as input to cBathy, and depth estimates are compared to nearshore surveys. Argus camera observations are also used as input to cBathy for the same times as the SWASH simulations. The SWASH simulations resolve breaking waves and do not include (optical) changes to the relation between water surface slope and pixel intensity, termed&nbsp;modulation transfer function, that occur during wave breaking, enabling better estimates from bathymetric inversion algorithms near&nbsp;morphologic features&nbsp;like sand bars. The results indicate that improvements result from eliminating of disruptions to the modulation transfer function caused by wave breaking and residual foam. We show that the use of synthetic wave data is a valuable means of isolating errors in bathymetric inversion algorithms.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coastaleng.2023.104338","usgsCitation":"Oades, E., Mulligan, R., and Palmsten, M.L., 2023, Evaluation of nearshore bathymetric inversion algorithms using camera observations and synthetic numerical input of surface waves during storms: Coastal Engineering, v. 184, 104338, 14 p., https://doi.org/10.1016/j.coastaleng.2023.104338.","productDescription":"104338, 14 p.","ipdsId":"IP-150422","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":443035,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.coastaleng.2023.104338","text":"Publisher Index Page"},{"id":421458,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","city":"Duck","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75.88936314340529,\n              36.31922233148438\n            ],\n            [\n              -75.88936314340529,\n              36.09324415562598\n            ],\n            [\n              -75.61754120043011,\n              36.09324415562598\n            ],\n            [\n              -75.61754120043011,\n              36.31922233148438\n            ],\n            [\n              -75.88936314340529,\n              36.31922233148438\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"184","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Oades, Elora","contributorId":330361,"corporation":false,"usgs":false,"family":"Oades","given":"Elora","affiliations":[{"id":36943,"text":"Queens University","active":true,"usgs":false}],"preferred":false,"id":884765,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mulligan, Ryan","contributorId":330362,"corporation":false,"usgs":false,"family":"Mulligan","given":"Ryan","affiliations":[{"id":36943,"text":"Queens University","active":true,"usgs":false}],"preferred":false,"id":884766,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Palmsten, Margaret L. 0000-0002-6424-2338","orcid":"https://orcid.org/0000-0002-6424-2338","contributorId":239955,"corporation":false,"usgs":true,"family":"Palmsten","given":"Margaret","email":"","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":884767,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70245409,"text":"70245409 - 2023 - The Colorado River water crisis: Its origin and the future","interactions":[],"lastModifiedDate":"2023-11-07T15:04:05.989924","indexId":"70245409","displayToPublicDate":"2023-06-17T06:45:50","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5067,"text":"WIREs Water","active":true,"publicationSubtype":{"id":10}},"title":"The Colorado River water crisis: Its origin and the future","docAbstract":"<p>During much of the 21st century, natural runoff in the Colorado River basin has declined, while consumption has remained relatively constant, leading to historically low reservoir storage. Between January 2000 and April 2023, the amount of water stored in Lake Mead and Lake Powell, the two largest reservoirs in the United States, declined by 33.5 million acre feet (41.3 billion cubic meters). As of April 2023, total basin-wide storage was sufficient to support the 21st century average rate of basin-wide consumption for only 15 months. Runoff in spring 2023 is predicted to be large, providing a short-term reprieve. However, it will take four to five additional unusually wet years in succession to refill Lake Powell and Lake Mead if basin-wide water use remains unchanged. Increasing evapotranspiration and dry soils associated with global climate change makes such a scenario unlikely. To stabilize reservoir storage, basin-wide use needs to equal modern runoff. To recover reservoir storage, basin-wide use needs to decline even more. Based on 21st century average runoff, a 13%–20% decline in basin-wide use would allow for stabilization and some reservoir storage recovery. Future policy debate about reservoir operations will inevitably concern whether most, or all, reservoir storage should be in Lake Mead or in Lake Powell. The choice of one or the other will result in significantly different environmental and recreational outcomes for Glen Canyon and the Grand Canyon.</p>","language":"English","publisher":"Wiley Interdisciplinary Reviews","doi":"10.1002/wat2.1672","usgsCitation":"Schmidt, J.C., Yackulic, C., and Kuhn, E., 2023, The Colorado River water crisis: Its origin and the future: WIREs Water, v. 10, no. 6, e1672, 11 p., https://doi.org/10.1002/wat2.1672.","productDescription":"e1672, 11 p.","ipdsId":"IP-148177","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":443043,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wat2.1672","text":"Publisher Index Page"},{"id":418391,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"Arizona, Baja California, California, Colorado, Nevada, New Mexico, Sonora, Utah, Wyoming","otherGeospatial":"Colorado River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114.48421418796046,\n              31.35434215860566\n            ],\n            [\n              -113.65259586662187,\n              32.23920414412936\n            ],\n            [\n              -112.21089756604964,\n              31.90052568352887\n            ],\n            [\n              -111.87558421754458,\n              32.20952085093056\n            ],\n            [\n              -111.28541066018629,\n              32.11399667847604\n            ],\n            [\n              -111.23279241837177,\n              31.437228609979257\n            ],\n            [\n              -110.94817616136105,\n              30.97237021578711\n            ],\n            [\n              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]\n}","volume":"10","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Schmidt, John C.","contributorId":207751,"corporation":false,"usgs":false,"family":"Schmidt","given":"John","email":"","middleInitial":"C.","affiliations":[{"id":37627,"text":"Department of Watershed Sciences, Utah State University, Logan, UT, USA","active":true,"usgs":false}],"preferred":false,"id":876047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":876048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kuhn, Eric","contributorId":311212,"corporation":false,"usgs":false,"family":"Kuhn","given":"Eric","email":"","affiliations":[{"id":67359,"text":"General Manager, Colorado River Water Conservation District (retired)  Glenwood Springs, CO","active":true,"usgs":false}],"preferred":false,"id":876049,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70247935,"text":"70247935 - 2023 - Modeling the effects of large-scale interior headland restoration on tidal hydrodynamics and salinity transport in an open coast, marine-dominant estuary","interactions":[],"lastModifiedDate":"2023-08-24T12:02:06.018325","indexId":"70247935","displayToPublicDate":"2023-06-16T06:55:25","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the effects of large-scale interior headland restoration on tidal hydrodynamics and salinity transport in an open coast, marine-dominant estuary","docAbstract":"<div class=\"JournalAbstract\"><p>The effects of large-scale interior headland restoration on tidal hydrodynamics and salinity transport in an open coast, marine dominant estuary (Grand Bay, Alabama, U.S.A) are investigated using a two-dimensional model, the Discontinuous-Galerkin Shallow Water Equations Model (DG-SWEM). Three restoration alternatives are simulated for present-day conditions, as well as under 0.5 m of sea level rise (SLR). Model results show that the restoration alternatives have no impact on tidal range within the estuary but change maximum tidal velocities by ±5 cm/s in the present-day scenarios and by ±7 cm/s in the scenarios with 0.5 m of SLR. Differences in average salinity concentrations for simulated tropical and frontal seasons show increases and decreases on the order of 2 pss in the embayments surrounding the restoration alternatives; differences were larger (on the order of ±4 pss) for the scenarios with 0.5 m of SLR. There were minimal changes in average salinity outside of the estuary and no changes offshore. The size and position of the alternatives played a role in the salinity response as a result of changing the estuarine shoreline geometry and affecting the fetch within the bay. SLR was more impactful in increasing exposure to low salinity values (i.e., less than 5 pss) than the presence of the restoration alternatives. Overall, the modeled results indicate that these large-scale restoration actions have limited and localized impacts on the hydrodynamics and salinity patterns in this open coast estuary. The results also demonstrate the nonlinear response of salinity to SLR, with increases and decreases in the maximum, mean and minimum daily salinity concentrations from present-day conditions. This nonlinear response was a result of changes in the directions of the residual currents, which affected salinity transport.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/fmars.2023.1193462","usgsCitation":"Passeri, D., Jenkins, R., Poisson, A.C., Bilskie, M.V., and Bacopoulos, P., 2023, Modeling the effects of large-scale interior headland restoration on tidal hydrodynamics and salinity transport in an open coast, marine-dominant estuary: Frontiers in Marine Science, v. 10, 1193462, 19 p., https://doi.org/10.3389/fmars.2023.1193462.","productDescription":"1193462, 19 p.","ipdsId":"IP-152170","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":443047,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2023.1193462","text":"Publisher Index Page"},{"id":435283,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OO9N0O","text":"USGS data release","linkHelpText":"Modeling the Effects of Large-scale Interior Headland Restoration on Tidal Hydrodynamics and Salinity Transport in an Open Coast, Marine-dominant Estuary: Model Input and Results"},{"id":420109,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","otherGeospatial":"Grand Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.42490237364372,\n              30.410101434734756\n            ],\n            [\n              -88.42490237364372,\n              30.33549029382921\n            ],\n            [\n              -88.26086447819436,\n              30.33549029382921\n            ],\n            [\n              -88.26086447819436,\n              30.410101434734756\n            ],\n            [\n              -88.42490237364372,\n              30.410101434734756\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"10","noUsgsAuthors":false,"publicationDate":"2023-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Passeri, Davina 0000-0002-9760-3195 dpasseri@usgs.gov","orcid":"https://orcid.org/0000-0002-9760-3195","contributorId":166889,"corporation":false,"usgs":true,"family":"Passeri","given":"Davina","email":"dpasseri@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":881113,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenkins, Robert L. III 0000-0003-2078-4618","orcid":"https://orcid.org/0000-0003-2078-4618","contributorId":202181,"corporation":false,"usgs":true,"family":"Jenkins","given":"Robert L.","suffix":"III","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":881114,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poisson, Autumn C.","contributorId":204091,"corporation":false,"usgs":false,"family":"Poisson","given":"Autumn","email":"","middleInitial":"C.","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":881115,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bilskie, Matthew V.","contributorId":166891,"corporation":false,"usgs":false,"family":"Bilskie","given":"Matthew","email":"","middleInitial":"V.","affiliations":[{"id":16154,"text":"LSU","active":true,"usgs":false}],"preferred":false,"id":881116,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bacopoulos, Peter","contributorId":328727,"corporation":false,"usgs":false,"family":"Bacopoulos","given":"Peter","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":881117,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70245099,"text":"70245099 - 2023 - Northwest Forest Plan — The first 25 years (1994–2018): Watershed condition status and trends","interactions":[],"lastModifiedDate":"2024-01-19T17:26:23.734397","indexId":"70245099","displayToPublicDate":"2023-06-15T10:05:53","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":295,"text":"Technical Report","active":false,"publicationSubtype":{"id":4}},"seriesNumber":"PNW-GTR-1010","title":"Northwest Forest Plan — The first 25 years (1994–2018): Watershed condition status and trends","docAbstract":"<p><span>This report describes status and trends in watershed condition across the Northwest Forest Plan (NWFP) area over the first 25 years since its inception in 1994. The program charged with this task is the Aquatic and Riparian Effectiveness Monitoring Program (AREMP), which has assembled information from field data collection, spatial datasets, and a host of landscape models to evaluate the status and trends in aquatic resources in streams and watersheds. Field data included hydrologic measurements (stream wetted widths and temperatures), geomorphic responses (instream wood and sediment), and biological responses (macroinvertebrates and aquatic organism passage). Novel statistical models were used to estimate trends in these measured responses. A suite of complementary modeled results was also employed to describe hydrometeorological drivers (e.g., drought indices and stream discharge), forest cover (upslope and riparian vegetation), and geomorphic conditions (e.g., road-related estimates of chronic and shallow landslide sediment delivery risk). Collectively, information on these responses allowed us to rigorously evaluate instream responses and hypothesize watershed drivers of those responses across the NWFP area and over time. The majority of responses we observed indicated widespread and incremental improvements from active management of forests, forest roads, and road-stream crossings as envisioned by the aquatic conservation strategy of the NWFP. Additionally, many of the responses we observed were consistent with those expected under the influences of changing climates in the Pacific Northwest. Ultimately, the long-term, broad-scale information provided by AREMP is a critical foundation for evaluating the effectiveness of federal land management and the effects of changing climates on water resources that sustain the Pacific Northwest’s human and natural landscapes.</span></p>","language":"English","publisher":"U.S. Department of Agriculture, Forest Service","doi":"10.2737/PNW-GTR-1010","usgsCitation":"Dunham, J., Hirsch, C., Gordon, S., Flitcroft, R.L., Chelgren, N., Snyder, M.N., Hockman-Wert, D.P., Reeves, G.H., Andersen, H.V., Anderson, S.K., Battaglin, W., Black, T.A., Brown, J., Claeson, S., Hay, L., Heaston, E.D., Luce, C., Nelson, N., Penn, C., and Raggon, M., 2023, Northwest Forest Plan — The first 25 years (1994–2018): Watershed condition status and trends: Technical Report PNW-GTR-1010, 165 p., https://doi.org/10.2737/PNW-GTR-1010.","productDescription":"165 p.","numberOfPages":"184","ipdsId":"IP-133075","costCenters":[{"id":191,"text":"Colorado Water Science 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0000-0002-3949-391X","orcid":"https://orcid.org/0000-0002-3949-391X","contributorId":236919,"corporation":false,"usgs":false,"family":"Heaston","given":"Emily","email":"","middleInitial":"D.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":false,"id":875471,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Luce, Charles H.","contributorId":245593,"corporation":false,"usgs":false,"family":"Luce","given":"Charles H.","affiliations":[{"id":40027,"text":"United States Forest Service","active":true,"usgs":false}],"preferred":false,"id":875472,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Nelson, Nathan","contributorId":310359,"corporation":false,"usgs":false,"family":"Nelson","given":"Nathan","email":"","affiliations":[],"preferred":false,"id":875473,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Penn, Colin 0000-0002-5195-2744","orcid":"https://orcid.org/0000-0002-5195-2744","contributorId":310361,"corporation":false,"usgs":true,"family":"Penn","given":"Colin","affiliations":[],"preferred":false,"id":875474,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Raggon, Mark","contributorId":310363,"corporation":false,"usgs":false,"family":"Raggon","given":"Mark","affiliations":[],"preferred":false,"id":875475,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}}
,{"id":70252648,"text":"70252648 - 2023 - MLAAPDE: A machine learning dataset for determining global earthquake source parameters","interactions":[],"lastModifiedDate":"2024-04-02T14:20:57.348232","indexId":"70252648","displayToPublicDate":"2023-06-15T09:16:45","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"MLAAPDE: A machine learning dataset for determining global earthquake source parameters","docAbstract":"<p><span>The Machine Learning Asset Aggregation of the Preliminary Determination of Epicenters (MLAAPDE) dataset is a labeled waveform archive designed to enable rapid development of machine learning (ML) models used in seismic monitoring operations. MLAAPDE consists of more than 5.1 million recordings of 120&nbsp;s long three‐component broadband waveform data (raw counts) for&nbsp;</span><i>P</i><span>,&nbsp;</span><i>Pn</i><span>,&nbsp;</span><i>Pg</i><span>,&nbsp;</span><i>S</i><span>,&nbsp;</span><i>Sn</i><span>, and&nbsp;</span><i>Sg</i><span>&nbsp;arrivals. The labeled catalog is collected from the U.S. Geological Survey National Earthquake Information Center’s (NEIC) Preliminary Determination of Epicenters bulletin, which includes local to teleseismic observations for earthquakes ∼</span><strong>M</strong><span>&nbsp;2.5 and larger. Each arrival in the labeled dataset has been manually reviewed by NEIC staff. An accompanying Python module enables users to develop customized training datasets, which includes different time‐series lengths, distance ranges, sampling rates, and/or phase lists. MLAAPDE is distinct from other publicly available datasets in containing local (14%), regional (36%), and teleseismic (50%) observations, in which local, regional, and teleseismic distance are 0°–3°, 3°–30°, and 30°+, respectively. A recent version of the dataset is publicly available (see&nbsp;</span>Data and Resources<span>), and user‐specific versions can be generated locally with the accompanying software. MLAAPDE is an NEIC supported, curated, and periodically updated dataset that can contribute to seismological ML research and development.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220230021","usgsCitation":"Cole, H.M., Yeck, W.L., and Benz, H.M., 2023, MLAAPDE: A machine learning dataset for determining global earthquake source parameters: Seismological Research Letters, v. 94, no. 5, p. 2489-2499, https://doi.org/10.1785/0220230021.","productDescription":"11 p.","startPage":"2489","endPage":"2499","ipdsId":"IP-135344","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":427310,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"94","issue":"5","noUsgsAuthors":false,"publicationDate":"2023-06-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Cole, Hank M. 0000-0003-1684-9116","orcid":"https://orcid.org/0000-0003-1684-9116","contributorId":335228,"corporation":false,"usgs":true,"family":"Cole","given":"Hank","email":"","middleInitial":"M.","affiliations":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"preferred":true,"id":897818,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yeck, William L. 0000-0002-2801-8873 wyeck@usgs.gov","orcid":"https://orcid.org/0000-0002-2801-8873","contributorId":147558,"corporation":false,"usgs":true,"family":"Yeck","given":"William","email":"wyeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":897819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benz, Harley M. 0000-0002-6860-2134 benz@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-2134","contributorId":794,"corporation":false,"usgs":true,"family":"Benz","given":"Harley","email":"benz@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":897820,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70245088,"text":"70245088 - 2023 - The unmarked R package: Twelve years of advances in occurrence and abundance modelling in ecology","interactions":[],"lastModifiedDate":"2023-06-15T14:07:24.755563","indexId":"70245088","displayToPublicDate":"2023-06-15T08:59:44","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":15221,"text":"Methods in Ecology & Evolution","active":true,"publicationSubtype":{"id":10}},"title":"The unmarked R package: Twelve years of advances in occurrence and abundance modelling in ecology","docAbstract":"<ol class=\"\"><li>Species distribution models (SDMs) are widely applied to understand the processes governing spatial and temporal variation in species abundance and distribution but often do not account for measurement errors such as false negatives and false positives.</li><li>We describe<span>&nbsp;</span><strong>unmarked</strong>, a package for the freely available and open-source R software that provides a complete workflow for modelling species distribution and abundance while explicitly accounting for measurement errors. Here we focus on recent advances in<span>&nbsp;</span><strong>unmarked</strong><span>&nbsp;</span>functionality to support multi-species, multi-state, and multi-season data, as well as support for fitting models with random effects.</li><li>For illustration, we present an analysis of Acadian Flycatcher<span>&nbsp;</span><i>Empidonax virescens</i><span>&nbsp;</span>abundance on Roanoke River National Wildlife Refuge, North Carolina, USA, over 18 years. We found that Acadian Flycatcher abundance was initially greater in hardwood plantation habitat relative to bottomland hardwood forest along river levees but that abundance declined over time in both habitats.</li><li>We plan for<span>&nbsp;</span><strong>unmarked</strong><span>&nbsp;</span>development to keep pace with advances in hierarchical modelling in ecology, including better handling of continuous-time data from camera trap and automated recording units and integrated models for multiple data streams.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/2041-210X.14123","usgsCitation":"Kellner, K.F., Smith, A.D., Royle, J., Kéry, M., Belant, J.L., and Chandler, R., 2023, The unmarked R package: Twelve years of advances in occurrence and abundance modelling in ecology: Methods in Ecology & Evolution, v. 14, no. 6, p. 1408-1415, https://doi.org/10.1111/2041-210X.14123.","productDescription":"8 p.","startPage":"1408","endPage":"1415","ipdsId":"IP-148655","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":443067,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.14123","text":"Publisher Index Page"},{"id":418129,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-05-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Kellner, Kenneth F.","contributorId":310338,"corporation":false,"usgs":false,"family":"Kellner","given":"Kenneth","email":"","middleInitial":"F.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":875422,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Adam D.","contributorId":310339,"corporation":false,"usgs":false,"family":"Smith","given":"Adam","email":"","middleInitial":"D.","affiliations":[{"id":67145,"text":"US FWS American Bird Conservancy","active":true,"usgs":false}],"preferred":false,"id":875423,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":3504,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":875424,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kéry, Marc","contributorId":310340,"corporation":false,"usgs":false,"family":"Kéry","given":"Marc","affiliations":[{"id":67146,"text":"Swiss Ornithological Institute","active":true,"usgs":false}],"preferred":false,"id":875425,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Belant, Jerrold L.","contributorId":108394,"corporation":false,"usgs":false,"family":"Belant","given":"Jerrold","email":"","middleInitial":"L.","affiliations":[{"id":35599,"text":"Carnivore Ecology Laboratory, Mississippi State University, Mississippi State, MS","active":true,"usgs":false}],"preferred":false,"id":875426,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chandler, Richard B.","contributorId":310342,"corporation":false,"usgs":false,"family":"Chandler","given":"Richard B.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":875427,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70245111,"text":"70245111 - 2023 - Prevailing impacts of river management on microplastic transport in contrasting US streams: Rethinking global microplastic flux estimations","interactions":[],"lastModifiedDate":"2023-06-15T13:36:24.536766","indexId":"70245111","displayToPublicDate":"2023-06-15T08:31:17","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Prevailing impacts of river management on microplastic transport in contrasting US streams: Rethinking global microplastic flux estimations","docAbstract":"<p><span>While microplastic inputs into rivers are assumed to be correlated with anthropogenic activities and to accumulate towards the sea, the impacts of water management on downstream microplastic transport are largely unexplored. A comparative study of microplastic abundance in Boulder Creek (BC), and its less urbanized tributary South Boulder Creek (SBC), (Colorado USA), characterized the downstream evolution of microplastics in surface water and sediments, evaluating the effects of urbanization and flow diversions on the up-to-downstream profiles of microplastic concentrations and loads. Water and sediment samples were collected from 21 locations along both rivers and microplastic properties determined by fluorescence microscopy and Raman spectroscopy. The degree of catchment urbanization affected microplastic patterns, as evidenced by greater water and sediment concentrations and loads in BC than the less densely populated SBC, which is consistent with the differences in the degree of urbanization between both catchments. Microplastic removal through flow diversions was quantified, showing that water diversions removed over 500 microplastic particles per second from the river, and caused stepwise reductions of downstream loads at diversion points. This redistribution of microplastics back into the catchment should be considered in large scale models quantifying plastic fate and transport to the oceans.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/J.WATRES.2023.120112","usgsCitation":"Kukkola, A., Runkel, R.L., Schneidewind, U., Murphy, S.F., Kelleher, L., Sambrook Smith, G., Nel, H.A., Lynch, I., and Krause, S., 2023, Prevailing impacts of river management on microplastic transport in contrasting US streams: Rethinking global microplastic flux estimations: Water Research, v. 240, 120112, 10 p., https://doi.org/10.1016/J.WATRES.2023.120112.","productDescription":"120112, 10 p.","ipdsId":"IP-147093","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":443073,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.watres.2023.120112","text":"Publisher Index Page"},{"id":418126,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Boulder","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -105.1504297135603,\n              40.115588476293226\n            ],\n            [\n              -105.63031730072807,\n              40.115588476293226\n            ],\n            [\n              -105.63031730072807,\n              39.81898339885757\n            ],\n            [\n              -105.1504297135603,\n              39.81898339885757\n            ],\n            [\n              -105.1504297135603,\n              40.115588476293226\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"240","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kukkola, Anna","contributorId":310394,"corporation":false,"usgs":false,"family":"Kukkola","given":"Anna","email":"","affiliations":[{"id":7157,"text":"University of Birmingham","active":true,"usgs":false}],"preferred":false,"id":875534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":875535,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schneidewind, Uwe","contributorId":310395,"corporation":false,"usgs":false,"family":"Schneidewind","given":"Uwe","email":"","affiliations":[{"id":7157,"text":"University of Birmingham","active":true,"usgs":false}],"preferred":false,"id":875536,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":875537,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kelleher, Liam","contributorId":310396,"corporation":false,"usgs":false,"family":"Kelleher","given":"Liam","email":"","affiliations":[{"id":7157,"text":"University of Birmingham","active":true,"usgs":false}],"preferred":false,"id":875538,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sambrook Smith, Greg","contributorId":310397,"corporation":false,"usgs":false,"family":"Sambrook Smith","given":"Greg","email":"","affiliations":[{"id":7157,"text":"University of Birmingham","active":true,"usgs":false}],"preferred":false,"id":875539,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nel, Holly Astrid","contributorId":310399,"corporation":false,"usgs":false,"family":"Nel","given":"Holly","email":"","middleInitial":"Astrid","affiliations":[{"id":67177,"text":"Centre for Environment, Fisheries and Aquaculture","active":true,"usgs":false}],"preferred":false,"id":875540,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lynch, Iseult","contributorId":310401,"corporation":false,"usgs":false,"family":"Lynch","given":"Iseult","email":"","affiliations":[{"id":7157,"text":"University of Birmingham","active":true,"usgs":false}],"preferred":false,"id":875541,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Krause, Stefan","contributorId":242782,"corporation":false,"usgs":false,"family":"Krause","given":"Stefan","email":"","affiliations":[{"id":48522,"text":"School of Geography, Earth & Environmental Sciences, University of Birmingham","active":true,"usgs":false}],"preferred":false,"id":875542,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70245106,"text":"70245106 - 2023 - Dynamic spatiotemporal modeling of a habitat-defining plant species to support wildlife management at regional scales","interactions":[],"lastModifiedDate":"2023-06-15T12:49:53.730514","indexId":"70245106","displayToPublicDate":"2023-06-15T07:32:26","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Dynamic spatiotemporal modeling of a habitat-defining plant species to support wildlife management at regional scales","docAbstract":"<p><span>Sagebrush (</span><i>Artemisia</i><span>&nbsp;spp.) ecosystems provide critical habitat for the Greater sage-grouse (</span><i>Centrocercus urophasianus</i><span>), a species of conservation concern. Thus, future loss of sagebrush habitat because of land use change and global climate change is of concern. Here, we use a dynamic additive spatiotemporal model to estimate the effects of climate on sagebrush cover dynamics at 32 sage-grouse management (core) areas in Wyoming. We use the fitted models to quantify the sensitivity of each management area to precipitation and temperature, and to make probabilistic projections of sagebrush cover from present to 2100 under three climate change scenarios. Global circulation models predict an increase in temperature and no change in precipitation for Wyoming. Sensitivity to climate varied among management areas, but the most common response (70% of management areas) was a positive effect of temperature on sagebrush performance. The combination of positive sensitivity to temperature and the predicted increase in temperature under all climate change scenarios resulted in projections of increased sagebrush cover for most management areas. We characterized management areas as “optimal” or “suboptimal” based on the percentage of grid cells in each management area with sagebrush cover exceeding a nesting habitat target value. Only 18% of management areas are projected to switch from being currently optimal to suboptimal in the future. Thirty-five percent of management areas are projected to switch from being suboptimal to optimal. The most common outcome (47%) was for currently suboptimal management areas to remain suboptimal, even though average cover tended to increase in those areas. The direct effects of climate change appear to favor sagebrush performance in the future for most sage-grouse core areas in Wyoming. Our approach is broadly applicable to quantitative climate change assessments where remotely sensed estimates of habitat-defining vegetation are available.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.4534","usgsCitation":"Tredennick, A.T., Monroe, A., Prebyl, T.J., Lombardi, J., and Aldridge, C.L., 2023, Dynamic spatiotemporal modeling of a habitat-defining plant species to support wildlife management at regional scales: Ecosphere, v. 14, no. 6, e4534, 20 p., https://doi.org/10.1002/ecs2.4534.","productDescription":"e4534, 20 p.","ipdsId":"IP-149244","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":443078,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4534","text":"Publisher Index Page"},{"id":435286,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9G58V48","text":"USGS data release","linkHelpText":"Sagebrush projections for greater sage-grouse core areas in Wyoming, USA, 2018-2100"},{"id":418123,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-110.048476,40.997555],[-110.121639,40.997101],[-110.125709,40.99655],[-110.237848,40.995427],[-110.250709,40.996089],[-110.375714,40.994947],[-110.500718,40.994746],[-110.539819,40.996346],[-110.715026,40.996347],[-110.750727,40.996847],[-111.046723,40.997959],[-111.046551,41.251716],[-111.0466,41.360692],[-111.046264,41.377731],[-111.045789,41.565571],[-111.045818,41.579845],[-111.046689,42.001567],[-111.047109,42.142497],[-111.047107,42.148971],[-111.047058,42.182672],[-111.047097,42.194773],[-111.047074,42.280787],[-111.04708,42.34942],[-111.046801,42.504946],[-111.046719,42.513118],[-111.046017,42.582723],[-111.043564,42.722624],[-111.044135,42.874924],[-111.043959,42.96445],[-111.043957,42.969482],[-111.043924,42.975063],[-111.044129,43.018702],[-111.044156,43.020052],[-111.044206,43.022614],[-111.044034,43.024581],[-111.044034,43.024844],[-111.044033,43.026411],[-111.044094,43.02927],[-111.043997,43.041415],[-111.044058,43.04464],[-111.044063,43.046302],[-111.044086,43.054819],[-111.044117,43.060309],[-111.04415,43.066172],[-111.044162,43.068222],[-111.044143,43.072364],[-111.044235,43.177121],[-111.044266,43.177236],[-111.044232,43.18444],[-111.044168,43.189244],[-111.044229,43.195579],[-111.044617,43.31572],[-111.045205,43.501136],[-111.045706,43.659112],[-111.04588,43.681033],[-111.046118,43.684902],[-111.046051,43.685812],[-111.04611,43.687848],[-111.046421,43.722059],[-111.046435,43.726545],[-111.04634,43.726957],[-111.046715,43.815832],[-111.046515,43.908376],[-111.046917,43.974978],[-111.047064,43.983467],[-111.047349,43.999921],[-111.049077,44.020072],[-111.048751,44.060403],[-111.048751,44.060838],[-111.048633,44.062903],[-111.048452,44.114831],[-111.049119,44.124923],[-111.049695,44.353626],[-111.049148,44.374925],[-111.049216,44.435811],[-111.049194,44.438058],[-111.048974,44.474072],[-111.055208,44.624927],[-111.055333,44.666263],[-111.055511,44.725343],[-111.056416,44.749928],[-111.056888,44.866658],[-111.055629,44.933578],[-111.056207,44.935901],[-111.055199,45.001321],[-111.044275,45.001345],[-110.785008,45.002952],[-110.761554,44.999934],[-110.750767,44.997948],[-110.705272,44.992324],[-110.552433,44.992237],[-110.547165,44.992459],[-110.48807,44.992361],[-110.402927,44.99381],[-110.362698,45.000593],[-110.342131,44.999053],[-110.324441,44.999156],[-110.28677,44.99685],[-110.199503,44.996188],[-110.110103,45.003905],[-110.026347,45.003665],[-110.025544,45.003602],[-109.99505,45.003174],[-109.875735,45.003275],[-109.798687,45.002188],[-109.75073,45.001605],[-109.663673,45.002536],[-109.574321,45.002631],[-109.386432,45.004887],[-109.375713,45.00461],[-109.269294,45.005283],[-109.263431,45.005345],[-109.103445,45.005904],[-109.08301,44.99961],[-109.062262,44.999623],[-108.621313,45.000408],[-108.578484,45.000484],[-108.565921,45.000578],[-108.500679,44.999691],[-108.271201,45.000251],[-108.249345,44.999458],[-108.238139,45.000206],[-108.218479,45.000541],[-108.14939,45.001062],[-108.000663,45.001223],[-107.997353,45.001565],[-107.911743,45.001292],[-107.750654,45.000778],[-107.608854,45.00086],[-107.607824,45.000929],[-107.49205,45.00148],[-107.351441,45.001407],[-107.13418,45.000109],[-107.125633,44.999388],[-107.105685,44.998734],[-107.084939,44.996599],[-107.074996,44.997004],[-107.050801,44.996424],[-106.892875,44.995947],[-106.888773,44.995885],[-106.263586,44.993788],[-106.024814,44.993688],[-105.928184,44.993647],[-105.914258,44.999986],[-105.913382,45.000941],[-105.848065,45.000396],[-105.076607,45.000347],[-105.038405,45.000345],[-105.025266,45.00029],[-105.019284,45.000329],[-105.01824,45.000437],[-104.765063,44.999183],[-104.759855,44.999066],[-104.72637,44.999518],[-104.665171,44.998618],[-104.663882,44.998869],[-104.470422,44.998453],[-104.470117,44.998453],[-104.250145,44.99822],[-104.057698,44.997431],[-104.055914,44.874986],[-104.056496,44.867034],[-104.055963,44.768236],[-104.055963,44.767962],[-104.055934,44.72372],[-104.05587,44.723422],[-104.055777,44.700466],[-104.055938,44.693881],[-104.05581,44.691343],[-104.055877,44.571016],[-104.055892,44.543341],[-104.055927,44.51773],[-104.055389,44.249983],[-104.054487,44.180381],[-104.054562,44.141081],[-104.05495,43.93809],[-104.055077,43.936535],[-104.055488,43.853477],[-104.055488,43.853476],[-104.055138,43.750421],[-104.055133,43.747105],[-104.054902,43.583852],[-104.054885,43.583512],[-104.05484,43.579368],[-104.055032,43.558603],[-104.054787,43.503328],[-104.054786,43.503072],[-104.054779,43.477815],[-104.054766,43.428914],[-104.054614,43.390949],[-104.054403,43.325914],[-104.054218,43.30437],[-104.053884,43.297047],[-104.053876,43.289801],[-104.053127,43.000585],[-104.052863,42.754569],[-104.052809,42.749966],[-104.052583,42.650062],[-104.052741,42.633982],[-104.052586,42.630917],[-104.052773,42.611766],[-104.052775,42.61159],[-104.052775,42.610813],[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 \"}}]}","volume":"14","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-06-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Tredennick, Andrew T.","contributorId":152688,"corporation":false,"usgs":false,"family":"Tredennick","given":"Andrew","email":"","middleInitial":"T.","affiliations":[{"id":18962,"text":"Dept. of Wildland Resources and the Ecology Center, Utah State University, Logan, UT","active":true,"usgs":false}],"preferred":false,"id":875511,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Monroe, Adrian P. 0000-0003-0934-8225 amonroe@usgs.gov","orcid":"https://orcid.org/0000-0003-0934-8225","contributorId":152209,"corporation":false,"usgs":true,"family":"Monroe","given":"Adrian P.","email":"amonroe@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":875512,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prebyl, Thomas J.","contributorId":200841,"corporation":false,"usgs":false,"family":"Prebyl","given":"Thomas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":875513,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lombardi, John","contributorId":310386,"corporation":false,"usgs":false,"family":"Lombardi","given":"John","email":"","affiliations":[{"id":6660,"text":"Western EcoSystems Technology, Inc","active":true,"usgs":false}],"preferred":false,"id":875514,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":875515,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70245425,"text":"70245425 - 2023 - Aquatic insect accumulation of uranium at spring outflows in the Grand Canyon region as influenced by aqueous and sediment geochemistry and biological factors: Implications for monitoring","interactions":[],"lastModifiedDate":"2023-06-23T12:14:07.859539","indexId":"70245425","displayToPublicDate":"2023-06-15T07:12:14","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Aquatic insect accumulation of uranium at spring outflows in the Grand Canyon region as influenced by aqueous and sediment geochemistry and biological factors: Implications for monitoring","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Potential adverse ecological effects of expanded uranium (U) mining within the Grand Canyon region motivated studies to better understand U exposure and risk to endemic species. This study documents U exposures and analyzes geochemical and biological factors affecting U bioaccumulation at spring-fed systems within the Grand Canyon region. The principal objective was to determine if aqueous U was broadly indicative of U accumulated by insect larvae, a dominate fauna. Analyses focused on three widely distributed taxa:<span>&nbsp;</span><i>Argia</i><span>&nbsp;</span>sp. (a predatory damselfly), Culicidae (suspension feeding mosquitos), and<span>&nbsp;</span><i>Limnephilus</i><span>&nbsp;</span>sp. (a detritivorous caddisfly). The study showed that U accumulated by aquatic insects (and periphyton) generally correlated positively with total dissolved U, although correlations were strongest when based on modeled concentrations of the U-dicarbonato complex, UO<sub>2</sub>(CO<sub>3</sub>)<sub>2</sub><sup>–2</sup>, and UO<sub>2</sub>(OH)<sub>2</sub>. Sediment metal concentration was a redundant indicator of U bioaccumulation. Neither insect size or U in the gut content of<span>&nbsp;</span><i>Limnephilus</i><span>&nbsp;</span>sp. substantially affected correlations between aqueous U and whole-body U concentrations. However, in<span>&nbsp;</span><i>Limnephilus</i><span>&nbsp;</span>sp., the gut and its content contained large quantities of U. Estimates of the sediment burden in the gut indicated that sediment was a minor source of U mass but contributed substantially to the total insect weight. As a result, whole-body U concentration would tend to vary inversely with the sediment burden of the gut. The correlations between aqueous U and bioaccumulated U provide an initial relational baseline against which newly acquired data could be evaluated for changes in U exposure during and after mining operations.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10661-023-11254-1","usgsCitation":"Cain, D.J., Croteau, M.N., Fuller, C.C., Barasch, D., Beisner, K.R., Campbell, K.M., Stoliker, D., and Schenk, E.J., 2023, Aquatic insect accumulation of uranium at spring outflows in the Grand Canyon region as influenced by aqueous and sediment geochemistry and biological factors: Implications for monitoring: Environmental Monitoring and Assessment, v. 195, 841, 20 p., https://doi.org/10.1007/s10661-023-11254-1.","productDescription":"841, 20 p.","ipdsId":"IP-136881","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":418394,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114.04545635703397,\n              37.021288213918126\n            ],\n            [\n              -114.04545635703397,\n              35.364110058408215\n            ],\n            [\n              -111.6075375091851,\n              35.364110058408215\n            ],\n            [\n              -111.6075375091851,\n              37.021288213918126\n            ],\n            [\n              -114.04545635703397,\n              37.021288213918126\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"195","noUsgsAuthors":false,"publicationDate":"2023-06-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Cain, Daniel J. 0000-0002-3443-0493 djcain@usgs.gov","orcid":"https://orcid.org/0000-0002-3443-0493","contributorId":1784,"corporation":false,"usgs":true,"family":"Cain","given":"Daniel","email":"djcain@usgs.gov","middleInitial":"J.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":876113,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Croteau, Marie Noele 0000-0003-0346-3580 mcroteau@usgs.gov","orcid":"https://orcid.org/0000-0003-0346-3580","contributorId":895,"corporation":false,"usgs":true,"family":"Croteau","given":"Marie","email":"mcroteau@usgs.gov","middleInitial":"Noele","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":876114,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fuller, Christopher C. 0000-0002-2354-8074 ccfuller@usgs.gov","orcid":"https://orcid.org/0000-0002-2354-8074","contributorId":1831,"corporation":false,"usgs":true,"family":"Fuller","given":"Christopher","email":"ccfuller@usgs.gov","middleInitial":"C.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":876115,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barasch, David","contributorId":311239,"corporation":false,"usgs":false,"family":"Barasch","given":"David","email":"","affiliations":[],"preferred":false,"id":876116,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beisner, Kimberly R. 0000-0002-2077-6899 kbeisner@usgs.gov","orcid":"https://orcid.org/0000-0002-2077-6899","contributorId":2733,"corporation":false,"usgs":true,"family":"Beisner","given":"Kimberly","email":"kbeisner@usgs.gov","middleInitial":"R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":876117,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Campbell, Kate M. 0000-0002-8715-5544 kcampbell@usgs.gov","orcid":"https://orcid.org/0000-0002-8715-5544","contributorId":1441,"corporation":false,"usgs":true,"family":"Campbell","given":"Kate","email":"kcampbell@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":876118,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stoliker, Deborah 0000-0002-7956-2975 dlstoliker@usgs.gov","orcid":"https://orcid.org/0000-0002-7956-2975","contributorId":216631,"corporation":false,"usgs":true,"family":"Stoliker","given":"Deborah","email":"dlstoliker@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":876119,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schenk, Edward J. 0000-0001-6886-5754","orcid":"https://orcid.org/0000-0001-6886-5754","contributorId":221439,"corporation":false,"usgs":false,"family":"Schenk","given":"Edward","email":"","middleInitial":"J.","affiliations":[{"id":40377,"text":"Museum of Northern Arizona Springs Stewardship Institute","active":true,"usgs":false}],"preferred":false,"id":876120,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70248351,"text":"70248351 - 2023 - Modeling the spatial distribution of carcasses of eagles killed by wind turbines","interactions":[],"lastModifiedDate":"2023-09-08T12:09:37.770416","indexId":"70248351","displayToPublicDate":"2023-06-15T07:07:30","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the spatial distribution of carcasses of eagles killed by wind turbines","docAbstract":"<p id=\"ID0EF\" class=\"first\">Currently, the US Fish and Wildlife Service makes eagle permitting and management decisions nationwide based on a limited understanding of the impacts of wind power generation on eagles, and the factors that influence risk at a given facility. Accurate estimates of eagle mortality at wind power facilities form the basis for comparing the magnitudes of mortality rates in different areas and for measuring the benefits of proposed methods of minimizing the collision-caused impacts to eagle populations. Simple counts of observed eagle carcasses at wind facilities are almost certainly underestimates of the true mortality because fatalities can be removed by scavengers, be missed by searchers, or fall outside searched areas. For the latter, models of relative carcass density as a function of distance from the turbine can be fit to observed carcass locations and used to estimate the proportion of carcasses expected to land within an area of any configuration beneath a turbine. In the USA, however, it has been difficult to estimate these models for large birds such as Bald Eagles (<i>Haliaeetus leucocephalus</i>) and Golden Eagles (<i>Aquila chrysaetos</i>) due to inadequate numbers of dead eagles found at any single facility. In this case, analysis of a surrogate species might be useful to inform carcass distributions. We chose to model the carcass distribution of White-tailed Eagles (<i>Haliaeetus albicilla</i>) in Norway as an informative surrogate for Bald Eagles and Golden Eagles in the USA. Our three best-fitting parametric models were very consistent in estimating that 50% (95% CI: 40–60%) of White-tailed Eagle carcasses land within approximately 42 m of the turbines that had 70-m hubs and approximately 40-m blades. Although our models were fit to data from White-tailed Eagles and not Bald or Golden Eagles, applying these models when calculating mortality impacts of wind developments on both eagle species will likely improve the accuracy of post-construction mortality estimates, particularly at sites where substantial areas may be unsearchable. Accurate post-construction mortality estimates can inform pre-construction fatality prediction models. Resource managers can determine whether their conditions are sufficiently similar to those we modeled to warrant the use of these models for Bald and Golden Eagle carcass distributions.</p>","language":"English","publisher":"BioOne","doi":"10.3356/JRR-21-53","usgsCitation":"Huso, M., Dalthorp, D., Mintz, J.M., Nygard, T., and May, R., 2023, Modeling the spatial distribution of carcasses of eagles killed by wind turbines: Journal of Raptor Research, v. 57, no. 3, p. 456-467, https://doi.org/10.3356/JRR-21-53.","productDescription":"12 p.","startPage":"456","endPage":"467","ipdsId":"IP-132647","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":420655,"type":{"id":24,"text":"Thumbnail"},"url":"http://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Huso, Manuela 0000-0003-4687-6625 mhuso@usgs.gov","orcid":"https://orcid.org/0000-0003-4687-6625","contributorId":223969,"corporation":false,"usgs":true,"family":"Huso","given":"Manuela","email":"mhuso@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":882653,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dalthorp, Daniel 0000-0002-4815-6309","orcid":"https://orcid.org/0000-0002-4815-6309","contributorId":329585,"corporation":false,"usgs":false,"family":"Dalthorp","given":"Daniel","affiliations":[{"id":78668,"text":"PowerStats","active":true,"usgs":false}],"preferred":false,"id":882654,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mintz, Jeffrey Michael 0000-0003-4345-366X","orcid":"https://orcid.org/0000-0003-4345-366X","contributorId":225149,"corporation":false,"usgs":true,"family":"Mintz","given":"Jeffrey","email":"","middleInitial":"Michael","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":882655,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nygard, Torgeir","contributorId":203220,"corporation":false,"usgs":false,"family":"Nygard","given":"Torgeir","email":"","affiliations":[{"id":36585,"text":"Norwegian Institute for Natural Research","active":true,"usgs":false}],"preferred":false,"id":882656,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"May, Roel","contributorId":329586,"corporation":false,"usgs":false,"family":"May","given":"Roel","email":"","affiliations":[{"id":33046,"text":"Norwegian Institute for Nature Research","active":true,"usgs":false}],"preferred":false,"id":882657,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70247936,"text":"70247936 - 2023 - Citizen science can complement professional invasive plant surveys and improve estimates of suitable habitat","interactions":[],"lastModifiedDate":"2023-08-24T11:54:15.452353","indexId":"70247936","displayToPublicDate":"2023-06-15T06:48:20","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Citizen science can complement professional invasive plant surveys and improve estimates of suitable habitat","docAbstract":"<h3 id=\"ddi13749-sec-0001-title\" class=\"article-section__sub-title section1\">Aim</h3><p>Citizen science is a cost-effective potential source of invasive species occurrence data. However, data quality issues due to unstructured sampling approaches may discourage the use of these observations by science and conservation professionals. This study explored the utility of low-structure iNaturalist citizen science data in invasive plant monitoring. We first examined the prevalence of invasive taxa in iNaturalist plant observations and sampling biases associated with these data. Using four invasive species as examples, we then compared iNaturalist and professional agency observations and used the two datasets to model suitable habitat for each species.</p><h3 id=\"ddi13749-sec-0002-title\" class=\"article-section__sub-title section1\">Location</h3><p>Hawai'i, USA.</p><h3 id=\"ddi13749-sec-0003-title\" class=\"article-section__sub-title section1\">Methods</h3><p>To estimate the prevalence of invasive plant data, we compared the number of species and observations recorded in iNaturalist to botanical checklists for Hawai'i. Sampling bias was quantified along gradients of site accessibility, protective status and vegetation disturbance using a bias index. Habitat suitability for four invasive species was modelled in Maxent, using observations from iNaturalist, professional agencies and stratified subsets of iNaturalist data.</p><h3 id=\"ddi13749-sec-0004-title\" class=\"article-section__sub-title section1\">Results</h3><p>iNaturalist plant observations were biased towards invasive species, which were frequently recorded in areas with higher road/trail density and vegetation disturbance. Professional observations of four example invasive species tended to occur in less accessible, native-dominated sites. Habitat suitability models based on iNaturalist versus professional data showed moderate overlap and different distributions of suitable habitat across vegetation disturbance classes. Stratifying iNaturalist observations had little effect on how suitable habitat was distributed for the species modelled in this study.</p><h3 id=\"ddi13749-sec-0005-title\" class=\"article-section__sub-title section1\">Main Conclusions</h3><p>Opportunistic iNaturalist observations have the potential to complement and expand professional invasive plant monitoring, which we found was often affected by inverse sampling biases. Invasive species represented a high proportion of iNaturalist plant observations, and were recorded in environments that were not captured by professional surveys. Combining the datasets thus led to more comprehensive estimates of suitable habitat.</p>","language":"English","publisher":"Wiley","doi":"10.1111/ddi.13749","usgsCitation":"Dimson, M., Fortini, L., Tingley, M.W., and Gillespie, T., 2023, Citizen science can complement professional invasive plant surveys and improve estimates of suitable habitat: Diversity and Distributions, v. 29, no. 9, p. 1141-1156, https://doi.org/10.1111/ddi.13749.","productDescription":"16 p.","startPage":"1141","endPage":"1156","ipdsId":"IP-139923","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":443085,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.13749","text":"Publisher Index Page"},{"id":420108,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"29","issue":"9","noUsgsAuthors":false,"publicationDate":"2023-06-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Dimson, Monica","contributorId":304630,"corporation":false,"usgs":false,"family":"Dimson","given":"Monica","email":"","affiliations":[{"id":33607,"text":"University of California Los Angeles","active":true,"usgs":false}],"preferred":false,"id":881118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fortini, Lucas Berio 0000-0002-5781-7295","orcid":"https://orcid.org/0000-0002-5781-7295","contributorId":236984,"corporation":false,"usgs":true,"family":"Fortini","given":"Lucas Berio","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":881119,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tingley, Morgan W","contributorId":328728,"corporation":false,"usgs":false,"family":"Tingley","given":"Morgan","email":"","middleInitial":"W","affiliations":[{"id":12763,"text":"University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":881120,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gillespie, Thomas W","contributorId":304639,"corporation":false,"usgs":false,"family":"Gillespie","given":"Thomas W","affiliations":[{"id":33607,"text":"University of California Los Angeles","active":true,"usgs":false}],"preferred":false,"id":881121,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70255122,"text":"70255122 - 2023 - Integrating community science and agency-collected monitoring data to expand monitoring capacity at large spatial scales","interactions":[],"lastModifiedDate":"2024-06-14T11:24:02.625488","indexId":"70255122","displayToPublicDate":"2023-06-15T06:22:20","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Integrating community science and agency-collected monitoring data to expand monitoring capacity at large spatial scales","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Monitoring species to better understand their status, ecology, and management needs is a major expense for agencies tasked with biodiversity conservation. Community science data have the potential to improve monitoring for minimal cost, given appropriate analytical frameworks. We describe a framework for integrating data from the eBird community science platform with agency-collected monitoring data using a multistate occupancy model. Our model accounts for the structural differences across datasets and allows for estimation of both occupancy and breeding probabilities. The framework was applied to Common Loons (<i>Gavia immer</i>) in Washington State. A total of 766 sites had observation effort, of which 713 sites had only eBird effort, 26 sites had only Washington Department of Fish and Wildlife (WDFW) effort, and 27 sites had both. We predicted that the probability of occupancy was only 0.07 (95% Bayesian credible interval, BCI = 0.02–0.51) at the 2324 sites in our sampling frame, though the probability that Common Loons were breeding at occupied sites was 0.95 (95% BCI = 0.71–1.00). We found that probability of occupancy was positively related to waterbody size (probability of a positive effect = 0.88) and negatively related to an index of human influence (probability of a negative effect = 0.94). We found that probability of breeding at occupied sites was positively related to tree canopy cover (0.86), negatively related to elevation (0.99), and negatively related to barren, scrub/shrub, and herbaceous land cover (0.98). We found that state agency biologists were 16 times more likely to detect breeding Common Loons at a site than were eBird users (0.94, 95% BCI = 0.78–0.99 for agency biologists vs. 0.08, 95% BCI = 0.06–0.10 for eBird users). However, the amount of effort expended by eBird users meant that they confirmed Common Loons at 94 sites while agency biologists confirmed them at just 24 sites, although evidence of reproduction was only contributed by agency biologists. Our results provide a better understanding of the distribution of Common Loons in Washington, while further demonstrating that community science data can be a valuable complement to agency-collected data, if appropriate frameworks are developed to integrate these data sources.</p></div></div></div></div><p><br></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4585","usgsCitation":"Sipe, H.A., Keren, I., and Converse, S.J., 2023, Integrating community science and agency-collected monitoring data to expand monitoring capacity at large spatial scales: Ecosphere, v. 14, no. 6, e4585, 14 p., https://doi.org/10.1002/ecs2.4585.","productDescription":"e4585, 14 p.","ipdsId":"IP-140783","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":443088,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4585","text":"Publisher Index Page"},{"id":430178,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-06-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Sipe, Hannah A.","contributorId":338696,"corporation":false,"usgs":false,"family":"Sipe","given":"Hannah","email":"","middleInitial":"A.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":903463,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keren, Ilai N.","contributorId":338697,"corporation":false,"usgs":false,"family":"Keren","given":"Ilai N.","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":903464,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903465,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70244344,"text":"70244344 - 2023 - Actualizing Indigenous Knowledge in tribal wildlife management: Basic preconditions","interactions":[],"lastModifiedDate":"2023-09-20T16:17:20.122417","indexId":"70244344","displayToPublicDate":"2023-06-14T10:33:43","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":14485,"text":"The Wildlife Society Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Actualizing Indigenous Knowledge in tribal wildlife management: Basic preconditions","docAbstract":"<p><span>Indigenous Knowledge (IK) is increasingly involved in the contemporary management of natural resources. Tribal wildlife management programs in the United States may be uniquely positioned to effectively and ethically integrate their IK. While a narrow focus on the body of IK and a particular management activity may suffice for project-level integration efforts, herein we consider how IK integration at the programmatic level may be best supported. We propose a holistic conceptual framework of preconditions including sovereignty, the North American Model management, funding, cultural resources, stakeholder support, and programmatic leadership. We assess the current status and common challenges with each precondition and illustrate their potential roles for a more lasting and pervasive integration of IK into tribal wildlife management programs.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/wsb.1467","usgsCitation":"Ciocco, T.W., Tangen, S., and Smith, C., 2023, Actualizing Indigenous Knowledge in tribal wildlife management: Basic preconditions: The Wildlife Society Bulletin, v. 47, no. 3, e1467, 14 p., https://doi.org/10.1002/wsb.1467.","productDescription":"e1467, 14 p.","ipdsId":"IP-145809","costCenters":[{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":443091,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wsb.1467","text":"Publisher Index Page"},{"id":418090,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-06-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Ciocco, Tony W. 0000-0002-5849-888X","orcid":"https://orcid.org/0000-0002-5849-888X","contributorId":306365,"corporation":false,"usgs":true,"family":"Ciocco","given":"Tony","email":"","middleInitial":"W.","affiliations":[{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":875393,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tangen, Stefan 0000-0002-6628-6094","orcid":"https://orcid.org/0000-0002-6628-6094","contributorId":298945,"corporation":false,"usgs":false,"family":"Tangen","given":"Stefan","affiliations":[{"id":64737,"text":"Great Plains Tribal Water Alliance","active":true,"usgs":false}],"preferred":false,"id":875394,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Chad","contributorId":306367,"corporation":false,"usgs":false,"family":"Smith","given":"Chad","email":"","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":875395,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70244331,"text":"70244331 - 2023 - Using multiscale environmental and spatial analyses to understand natural and anthropogenic influence on fish communities in four Canadian rivers","interactions":[],"lastModifiedDate":"2023-06-14T15:33:05.44397","indexId":"70244331","displayToPublicDate":"2023-06-14T10:20:32","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Using multiscale environmental and spatial analyses to understand natural and anthropogenic influence on fish communities in four Canadian rivers","docAbstract":"<p><span>Science-based conservation of riverine fishes can be best targeted with specific information about spatial-ecological controls on the community, including anthropogenic stressors. Because anthropogenic stressors can originate at multiple spatial scales, we investigated the influence of natural and anthropogenic variables summarized within the reach, valley, and catchment on fish community composition along four river mainstems in Ontario, Canada. We used Redundancy Analyses (RDA) to explore models with multi- and single-scale variables on fish community composition. We used partial RDAs to differentiate the relative effects of variable types in multiscale models and to determine if spatial variables explained additional variation in fish community composition. Catchment variables accounted for the majority of explained variation in fish community composition in three of the four rivers, but instream habitat variables accounted for considerable variability in fish community composition in the two rivers that are highly fragmented by dams or naturally occurring rapids. Natural and human-derived fragmentation in rivers may reduce the influence of catchment controls, disrupt longitudinal gradients, and increase the influence of local instream habitat. Environmental variables that explained fish distribution had longitudinal or patchy spatial pattern within rivers, but spatial variables representing impediments to fish dispersal and proximity to receiving waterbodies failed to explain additional variation in fish community composition.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/w15122213","usgsCitation":"Sparks-Jackson, B.L., Esselman, P., Wilson, C.C., and Carl, L.M., 2023, Using multiscale environmental and spatial analyses to understand natural and anthropogenic influence on fish communities in four Canadian rivers: Water, v. 15, no. 12, 2213, 25 p., https://doi.org/10.3390/w15122213.","productDescription":"2213, 25 p.","ipdsId":"IP-125420","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true}],"links":[{"id":443093,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w15122213","text":"Publisher Index Page"},{"id":418089,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Ontario","otherGeospatial":"Ganaraska River, Grand River, Petawawa River, St. Lawrence River watershed, Trent River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -79.38795032719975,\n              43.6259084589432\n            ],\n            [\n              -80.7097338741388,\n              43.6259084589432\n            ],\n            [\n              -80.7097338741388,\n              42.91759095777866\n            ],\n            [\n              -79.38795032719975,\n              42.91759095777866\n            ],\n            [\n              -79.38795032719975,\n              43.6259084589432\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -76.79725461639248,\n              44.28057044638072\n            ],\n            [\n              -76.79725461639248,\n              45.20435320940845\n            ],\n            [\n              -78.6794743872343,\n              45.20435320940845\n            ],\n            [\n              -78.6794743872343,\n              44.28057044638072\n            ],\n            [\n              -76.79725461639248,\n              44.28057044638072\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -77.90765267935988,\n              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Center","active":true,"usgs":true}],"preferred":true,"id":875389,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Esselman, Peter C. 0000-0002-0085-903X","orcid":"https://orcid.org/0000-0002-0085-903X","contributorId":204291,"corporation":false,"usgs":true,"family":"Esselman","given":"Peter C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":875390,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Christopher C. 0000-0002-9528-0652","orcid":"https://orcid.org/0000-0002-9528-0652","contributorId":256696,"corporation":false,"usgs":false,"family":"Wilson","given":"Christopher","email":"","middleInitial":"C.","affiliations":[{"id":51832,"text":"Aquatic Biodiversity and Conservation Unit, Ontario Ministry of Natural Resources, Peterborough, ON, Canada","active":true,"usgs":false}],"preferred":false,"id":875391,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carl, Leon M. 0000-0001-6419-2214 lcarl@usgs.gov","orcid":"https://orcid.org/0000-0001-6419-2214","contributorId":256693,"corporation":false,"usgs":true,"family":"Carl","given":"Leon","email":"lcarl@usgs.gov","middleInitial":"M.","affiliations":[{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":875392,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70263632,"text":"70263632 - 2023 - Modern products for a vintage event: An update on the 1933 Long Beach, California, earthquake","interactions":[],"lastModifiedDate":"2025-02-19T16:12:24.444322","indexId":"70263632","displayToPublicDate":"2023-06-14T10:08:39","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10542,"text":"The Seismic Record","active":true,"publicationSubtype":{"id":10}},"title":"Modern products for a vintage event: An update on the 1933 Long Beach, California, earthquake","docAbstract":"<p><span>When a notable earthquake occurs in the United States, a range of familiar real‐ and near‐real‐time products are produced by the U.S. Geological Survey (USGS) Advanced National Seismic System (ANSS), and made available via the ANSS Comprehensive Earthquake Catalog. For historical and early instrumental earthquakes, similar results and products are developed depending on data availability and event significance, drawing from published later studies. The year 2023 marked the ninetieth anniversary of the 11 March 1933 Long Beach, California, earthquake. This anniversary provided the impetus to update ANSS products, drawing on archived and published data. Here, we describe the updated ShakeMap, shaking recordings and intensities, and retrospective aftershock forecast for the Long Beach, California, earthquake. In effect we have developed standard, modern ANSS products for an earthquake that occurred 90&nbsp;yr ago. Our results show that the distributions of both the ground motions, anchored by three strong‐motion recordings, and aftershock magnitudes are consistent with expectations for an&nbsp;</span><strong>M</strong><span>&nbsp;6.4 mainshock in Southern California. We show that, notwithstanding possible limitations, instrumentally recorded accelerations from the closest station are consistent with predicted shaking and directly estimated macroseismic intensities. Updated data products have been added to the USGS event page, where they are available for download. Public‐facing products were also created for the anniversary and are freely available on the USGS website.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0320230015","usgsCitation":"Hough, S.E., Blair, J.L., Ellison, S., Graves, R., Haefner, S., Thompson, E.M., van der Elst, N., Page, M.T., and Wald, D.J., 2023, Modern products for a vintage event: An update on the 1933 Long Beach, California, earthquake: The Seismic Record, v. 3, no. 2, p. 171-181, https://doi.org/10.1785/0320230015.","productDescription":"11 p.","startPage":"171","endPage":"181","ipdsId":"IP-152269","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":487650,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0320230015","text":"Publisher Index Page"},{"id":482220,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Long Beach","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -119.10057757657458,\n              34.481723829510074\n            ],\n            [\n              -119.10057757657458,\n              33.30206417955914\n            ],\n            [\n              -117.44400100782676,\n              33.30206417955914\n            ],\n            [\n              -117.44400100782676,\n              34.481723829510074\n            ],\n            [\n              -119.10057757657458,\n              34.481723829510074\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"3","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-06-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Hough, Susan E. 0000-0002-5980-2986","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":263442,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927614,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blair, J. Luke 0000-0002-6980-6446 lblair@usgs.gov","orcid":"https://orcid.org/0000-0002-6980-6446","contributorId":4146,"corporation":false,"usgs":true,"family":"Blair","given":"J.","email":"lblair@usgs.gov","middleInitial":"Luke","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927615,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ellison, Sonia 0000-0003-3446-0745","orcid":"https://orcid.org/0000-0003-3446-0745","contributorId":270256,"corporation":false,"usgs":true,"family":"Ellison","given":"Sonia","email":"","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":927616,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Graves, Robert 0000-0001-9758-453X rwgraves@usgs.gov","orcid":"https://orcid.org/0000-0001-9758-453X","contributorId":140738,"corporation":false,"usgs":true,"family":"Graves","given":"Robert","email":"rwgraves@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927617,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haefner, Scott","contributorId":350679,"corporation":false,"usgs":true,"family":"Haefner","given":"Scott","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927618,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":150897,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":927619,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"van der Elst, Nicholas 0000-0002-3812-1153 nvanderelst@usgs.gov","orcid":"https://orcid.org/0000-0002-3812-1153","contributorId":147858,"corporation":false,"usgs":true,"family":"van der Elst","given":"Nicholas","email":"nvanderelst@usgs.gov","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927620,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Page, Morgan T. 0000-0001-9321-2990 mpage@usgs.gov","orcid":"https://orcid.org/0000-0001-9321-2990","contributorId":3762,"corporation":false,"usgs":true,"family":"Page","given":"Morgan","email":"mpage@usgs.gov","middleInitial":"T.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927621,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":927622,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70257362,"text":"70257362 - 2023 - Fall migration, oceanic movement, and site residency patterns of eastern red bats (Lasiurus borealis) on the mid-Atlantic Coast","interactions":[],"lastModifiedDate":"2026-02-04T16:04:51.628052","indexId":"70257362","displayToPublicDate":"2023-06-14T09:41:56","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Fall migration, oceanic movement, and site residency patterns of eastern red bats (Lasiurus borealis) on the mid-Atlantic Coast","docAbstract":"<p><span>Along the mid-Atlantic coast of the United States, eastern red bats (</span><i>Lasiurus borealis</i><span>) are present during fall mating and migration, though little is currently known about most aspects of bat migration. To reveal migration patterns, and understand drivers of over-water flight, we captured and radio-tagged 115 eastern red bats using novel technology, and subsequently tracked and described their movements throughout the region. We compared over-water flight movements to randomly generated patterns using a use-availability framework, and subsequently used a generalized linear mixed effects model to assess the relationship of over-water flight to atmospheric variables. We used hidden Markov models to assess daily activity patterns and site residency. Most bats with long-distance movements traveled in a southwesterly direction, however path vectors were often oriented interior toward the continental landmass rather than along the coastline. We observed that some bats transited wide sections of the Chesapeake and Delaware bays, confirming their ability to travel across large water bodies. This over-water flight typically occurred in the early hours of the night and during favorable flying conditions. If flight over large water bodies is a proxy for over-ocean flight, then collision risk at offshore wind turbines – a major source of migratory bat fatalities – may be linked nightly to warm temperatures that occur early in the fall season. Risk, then, may be somewhat predictable and manageable with mitigation options linking wind-energy operation to weather conditions and seasonality.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1186/s40462-023-00398-x","usgsCitation":"True, M., Gorman, K.M., Taylor, H., Reynolds, R., and Ford, W., 2023, Fall migration, oceanic movement, and site residency patterns of eastern red bats (Lasiurus borealis) on the mid-Atlantic Coast: Movement Ecology, v. 11, no. 35, e35, 16 p., https://doi.org/10.1186/s40462-023-00398-x.","productDescription":"e35, 16 p.","ipdsId":"IP-150083","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":443096,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-023-00398-x","text":"Publisher Index Page"},{"id":433113,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"11","issue":"35","noUsgsAuthors":false,"publicationDate":"2023-06-14","publicationStatus":"PW","contributors":{"authors":[{"text":"True, Michael C.","contributorId":270631,"corporation":false,"usgs":false,"family":"True","given":"Michael C.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":910116,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gorman, Katherine M.","contributorId":270924,"corporation":false,"usgs":false,"family":"Gorman","given":"Katherine","email":"","middleInitial":"M.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":910117,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor, Hila","contributorId":270923,"corporation":false,"usgs":false,"family":"Taylor","given":"Hila","email":"","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":910118,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reynolds, Richard J.","contributorId":348217,"corporation":false,"usgs":false,"family":"Reynolds","given":"Richard J.","affiliations":[{"id":83324,"text":"Virginia Dept. of Wildlife Resources","active":true,"usgs":false}],"preferred":false,"id":910119,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":910120,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70247521,"text":"70247521 - 2023 - Accounting for spatial habitat and management boundaries when estimating forest bird population distribution and density: Inferences from a soap film smoother","interactions":[],"lastModifiedDate":"2023-08-10T12:09:25.852819","indexId":"70247521","displayToPublicDate":"2023-06-14T07:06:55","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3840,"text":"PeerJ","active":true,"publicationSubtype":{"id":10}},"title":"Accounting for spatial habitat and management boundaries when estimating forest bird population distribution and density: Inferences from a soap film smoother","docAbstract":"<div class=\"abstract\"><p>Birds are often obligate to specific habitats which can result in study areas with complex boundaries due to sudden changes in vegetation or other features. This can result in study areas with concave arcs or that include holes of unsuitable habitat such as lakes or agricultural fields. Spatial models used to produce species’ distribution and density estimates need to respect such boundaries to make informed decisions for species conservation and management. The soap film smoother is one model for complex study regions which controls the boundary behaviour, ensuring realistic values at the edges of the region. We apply the soap film smoother to account for boundary effects and compare it with thin plate regression spline (TPRS) smooth and design-based conventional distance sampling methods to produce abundance estimates from point-transect distance sampling collected data on Hawai‘i ‘Ākepa<span>&nbsp;</span><i>Loxops coccineus</i><span>&nbsp;</span>in the Hakalau Forest Unit of the Big Island National Wildlife Refuge Complex, Hawai‘i Island, USA. The soap film smoother predicted zero or near zero densities in the northern part of the domain and two hotspots (in the southern and central parts of the domain). Along the boundary the soap film model predicted relatively high densities where ‘Ākepa occur in the adjacent forest and near zero elsewhere. The design-based and soap film abundance estimates were nearly identical. The width of the soap film confidence interval was 16.5% and 0.8% wider than the width of the TPRS smooth and design-based confidence intervals, respectively. The peaks in predicted densities along the boundary indicates leakage by the TPRS smooth. We provide a discussion of the statistical methods, biological findings and management implications of applying soap film smoothers to estimate forest bird population status.</p></div>","language":"English","publisher":"PeerJ","doi":"10.7717/peerj.15558","usgsCitation":"Camp, R.J., Miller, D.L., Buckland, S.T., and Kendall, S.J., 2023, Accounting for spatial habitat and management boundaries when estimating forest bird population distribution and density: Inferences from a soap film smoother: PeerJ, v. 11, e15558, 19 p., https://doi.org/10.7717/peerj.15558.","productDescription":"e15558, 19 p.","ipdsId":"IP-140424","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":443099,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.15558","text":"Publisher Index Page"},{"id":419699,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Hakalau Forest Unit","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.50485214861297,\n              20.107708373603728\n            ],\n            [\n              -155.50485214861297,\n              19.595031846100383\n            ],\n            [\n              -155.01972728080102,\n              19.595031846100383\n            ],\n            [\n              -155.01972728080102,\n              20.107708373603728\n            ],\n            [\n              -155.50485214861297,\n              20.107708373603728\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"11","noUsgsAuthors":false,"publicationDate":"2023-06-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","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":879982,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, David L 0000-0002-9640-6755","orcid":"https://orcid.org/0000-0002-9640-6755","contributorId":237961,"corporation":false,"usgs":false,"family":"Miller","given":"David","email":"","middleInitial":"L","affiliations":[{"id":47659,"text":"University of St Andrews, CREEM","active":true,"usgs":false}],"preferred":false,"id":879983,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buckland, Steve T. 0000-0002-9939-709X","orcid":"https://orcid.org/0000-0002-9939-709X","contributorId":194665,"corporation":false,"usgs":false,"family":"Buckland","given":"Steve","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":879984,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kendall, Steve J. 0000-0002-9290-5629","orcid":"https://orcid.org/0000-0002-9290-5629","contributorId":169663,"corporation":false,"usgs":false,"family":"Kendall","given":"Steve","email":"","middleInitial":"J.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":879985,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70245380,"text":"70245380 - 2023 - Condition and coloration of lingual lures of Alligator Snapping Turtles","interactions":[],"lastModifiedDate":"2023-07-10T13:24:10.48886","indexId":"70245380","displayToPublicDate":"2023-06-14T06:51:30","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Condition and coloration of lingual lures of Alligator Snapping Turtles","docAbstract":"<div class=\"div0\"><div class=\"row ArticleContentRow\"><p id=\"ID0EF\" class=\"first\">The lingual lures of<span>&nbsp;</span><i>Macrochelys</i><span>&nbsp;</span>(alligator snapping turtles) are believed to be the only prey-capturing lures within the mouths of modern reptiles. To date, no formal assessment of lure condition in<span>&nbsp;</span><i>Macrochelys</i><span>&nbsp;</span>has been published, and few researchers record lure data. Herein, we report damaged or missing lures from 25<span>&nbsp;</span><i>Macrochelys temminckii</i><span>&nbsp;</span>(Alligator Snapping Turtle; 7 adults, 18 juveniles) from a sample of more than 2000 lure assessments in 4 states, indicating this is a rare occurrence. We also describe lingual lure color observed in these assessments and introduce standardized terminology and color categories. We suggest researchers record data on the condition and coloration of the lingual lure to further our understanding of this ecological and evolutionary adaptation.</p></div></div>","language":"English","publisher":"BioOne","doi":"10.1656/058.022.0sp1227","usgsCitation":"Glorioso, B., Carr, J.L., Franklin, C.J., Gordon, M., Johnson, A.C., Kessler, E.J., Munscher, E., Pearson, L., Ricardez, V., and Tuggle, A., 2023, Condition and coloration of lingual lures of Alligator Snapping Turtles: Southeastern Naturalist, v. 22, no. sp12, p. 429-439, https://doi.org/10.1656/058.022.0sp1227.","productDescription":"11 p.; 3 Data Releases","startPage":"429","endPage":"439","ipdsId":"IP-135504","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":418752,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9N40V06","text":"Data from a turtle trapping effort targeting alligator snapping turtles (Macrochelys temminckii) in the Atchafalaya Basin beginning in 2019","linkFileType":{"id":5,"text":"html"}},{"id":418753,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9G9BR1D","text":"Data from a turtle trapping effort at a release site of head-started alligator snapping turtles, Macrochelys temminckii, in southwest Louisiana in 2018 (ver. 2.0, September 2021)","linkFileType":{"id":5,"text":"html"}},{"id":418350,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418754,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90JT34K","text":"Data from a 2019 occupancy survey of alligator snapping turtles, Macrochelys temminckii, in south-central Louisiana","linkFileType":{"id":5,"text":"html"}}],"volume":"22","issue":"sp12","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Glorioso, Brad 0000-0002-5400-7414","orcid":"https://orcid.org/0000-0002-5400-7414","contributorId":219360,"corporation":false,"usgs":true,"family":"Glorioso","given":"Brad","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":875921,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carr, John L.","contributorId":311108,"corporation":false,"usgs":false,"family":"Carr","given":"John","email":"","middleInitial":"L.","affiliations":[{"id":67348,"text":"University of Louisiana Monroe","active":true,"usgs":false}],"preferred":false,"id":875922,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Franklin, Carl J.","contributorId":311109,"corporation":false,"usgs":false,"family":"Franklin","given":"Carl","email":"","middleInitial":"J.","affiliations":[{"id":67350,"text":"Texas Turtles","active":true,"usgs":false}],"preferred":false,"id":875923,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gordon, Mandi","contributorId":311110,"corporation":false,"usgs":false,"family":"Gordon","given":"Mandi","email":"","affiliations":[{"id":67351,"text":"University of Houston Clear Lake","active":true,"usgs":false}],"preferred":false,"id":875924,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Aaron C.","contributorId":311111,"corporation":false,"usgs":false,"family":"Johnson","given":"Aaron","email":"","middleInitial":"C.","affiliations":[{"id":67348,"text":"University of Louisiana Monroe","active":true,"usgs":false}],"preferred":false,"id":875925,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kessler, Ethan J.","contributorId":311112,"corporation":false,"usgs":false,"family":"Kessler","given":"Ethan","email":"","middleInitial":"J.","affiliations":[{"id":36894,"text":"Illinois Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":875926,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Munscher, Eric","contributorId":311113,"corporation":false,"usgs":false,"family":"Munscher","given":"Eric","email":"","affiliations":[{"id":67352,"text":"SWCA Environmental Consultants; Turtle Survival Alliance","active":true,"usgs":false}],"preferred":false,"id":875927,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pearson, Luke","contributorId":311114,"corporation":false,"usgs":false,"family":"Pearson","given":"Luke","email":"","affiliations":[{"id":38697,"text":"University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":875928,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ricardez, Viviana","contributorId":311115,"corporation":false,"usgs":false,"family":"Ricardez","given":"Viviana","email":"","affiliations":[{"id":67350,"text":"Texas Turtles","active":true,"usgs":false}],"preferred":false,"id":875929,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Tuggle, Arron","contributorId":311116,"corporation":false,"usgs":false,"family":"Tuggle","given":"Arron","email":"","affiliations":[{"id":34515,"text":"SWCA Environmental Consultants","active":true,"usgs":false}],"preferred":false,"id":875930,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70244133,"text":"sir20235053 - 2023 - Floodwater drainage assessment of Offutt Air Force Base, Nebraska, 2020–22","interactions":[],"lastModifiedDate":"2023-07-31T20:06:51.287118","indexId":"sir20235053","displayToPublicDate":"2023-06-13T15:08:38","publicationYear":"2023","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":"2023-5053","displayTitle":"Floodwater Drainage Assessment of Offutt Air Force Base, Nebraska, 2020–22","title":"Floodwater drainage assessment of Offutt Air Force Base, Nebraska, 2020–22","docAbstract":"<p>Offutt Air Force Base, south of Omaha, Nebraska, experienced major flooding during the March 2019 flood event because of the proximity of the base to the confluence of the Missouri River and nearby tributaries, which exceeded flood stages. Postflood, standing water remained through much of the year, attracting waterfowl and other birds and posing a major safety risk to aircraft. The U.S. Geological Survey, in cooperation with the U.S. Air Force, began a study in 2020 to describe the hydrologic processes that affect the persistence of standing water on Offutt Air Force Base.</p><p>Existing site data, reviewed in concert with groundwater and surface-water elevation data collected for the study, indicate varying hydrologic responses between two areas of concern (AOCs), which can be linked to differences in subsurface geology and changes in flows of the Missouri River. An inundation map indicated that standing water would be present throughout Papillion Creek Ditch in AOC 1 and would extend upstream to AOC 2 during flow events greater than 771 cubic feet per second. A U.S. Army Corps of Engineers Hydrologic Engineering Center-River Analysis System model and a flow-duration analysis were used to infer that many of the surface-water drainage problems experienced in 2019 were the result of backwater conditions caused by higher streamflows in the Missouri River.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235053","collaboration":"Prepared in cooperation with the U.S. Air Force, Offutt Air Force Base","usgsCitation":"Hobza, C.M., and Strauch, K.R., 2023, Floodwater drainage assessment of Offutt Air Force Base, Nebraska, 2020–22: U.S. Geological Survey Scientific Investigations Report 2023–5053, 31 p., https://doi.org/10.3133/sir20235053.","productDescription":"Report: vii, 31 p.; Data Release; Dataset","numberOfPages":"44","onlineOnly":"Y","ipdsId":"IP-138559","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":418093,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235053/full"},{"id":417735,"rank":6,"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":417734,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KYD1CX","text":"USGS data release","linkHelpText":"Water-surface and groundwater-level elevations on and near Offutt Air Force Base, Nebraska, summer 2020 and spring 2021"},{"id":417718,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5053/images"},{"id":417717,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5053/sir20235053.XML"},{"id":417707,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5053/coverthb1.jpg"},{"id":417713,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5053/sir20235053.pdf","text":"Report","size":"5.83 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5053"}],"country":"United States","state":"Nebraska","otherGeospatial":"Offutt Air Force Base","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -96.09742410665552,\n              41.18555144700602\n            ],\n            [\n              -96.09742410665552,\n              41.06019915604605\n            ],\n            [\n              -95.87125037103594,\n              41.06019915604605\n            ],\n            [\n              -95.87125037103594,\n              41.18555144700602\n            ],\n            [\n              -96.09742410665552,\n              41.18555144700602\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/ne-water\" data-mce-href=\"https://www.usgs.gov/centers/ne-water\">Nebraska Water Science Center</a><br>U.S. Geological Survey<br>5231 South 19th Street <br>Lincoln, NE 68512</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Study Area Description</li><li>Previous Studies</li><li>Approach and Methods</li><li>Analysis of Shallow Groundwater Movement and Surface-Water Drainage on and near Offutt Air Force Base</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2023-06-13","noUsgsAuthors":false,"publicationDate":"2023-06-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Hobza, Christopher M. 0000-0002-6239-934X cmhobza@usgs.gov","orcid":"https://orcid.org/0000-0002-6239-934X","contributorId":2393,"corporation":false,"usgs":true,"family":"Hobza","given":"Christopher","email":"cmhobza@usgs.gov","middleInitial":"M.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":874563,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Strauch, Kellan R. 0000-0002-7218-2099 kstrauch@usgs.gov","orcid":"https://orcid.org/0000-0002-7218-2099","contributorId":1006,"corporation":false,"usgs":true,"family":"Strauch","given":"Kellan","email":"kstrauch@usgs.gov","middleInitial":"R.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":874564,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70244181,"text":"fs20233018 - 2023 - The 3D Elevation Program—Supporting Arkansas's economy","interactions":[],"lastModifiedDate":"2026-02-09T17:22:46.334167","indexId":"fs20233018","displayToPublicDate":"2023-06-13T15:05:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-3018","displayTitle":"The 3D Elevation Program—Supporting Arkansas’s Economy","title":"The 3D Elevation Program—Supporting Arkansas's economy","docAbstract":"<h1>Introduction&nbsp;</h1><p>In recent years, Arkansas has coordinated with Federal and local partners to improve the quality and availability of high-resolution elevation data for the State. With high-quality elevation data, Arkansas can improve services offered to the public and within government, resulting in better quality of life, improved public safety, and higher return on investments. Elevation data are beneficial in numerous business activities, including agriculture and precision farming, flood risk management, geologic resource assessment and hazard mitigation, infrastructure and construction management, urban and regional planning, and natural resources conservation. Critical applications that meet the State’s management needs depend on light detection and ranging (lidar) data that provide a highly detailed three-dimensional (3D) model of the Earth’s surface and aboveground features. The 3D Elevation Program (3DEP) is managed by the U.S. Geological Survey in partnership with Federal, State, Tribal, U.S. territorial, and local agencies to acquire consistent lidar coverage at quality level 2 or better to meet the many needs of the Nation and Arkansas. This fact sheet shows the status of available and in-progress 3DEP baseline lidar data in Arkansas.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20233018","programNote":"National Geospatial Program","usgsCitation":"Cretini, C., 2023, The 3D Elevation Program—Supporting Arkansas's economy: U.S. Geological Survey Fact Sheet 2023–3018, 2 p., https://doi.org/10.3133/fs20233018.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-119442","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":417809,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2023/3018/fs20233018.pdf","text":"Report","size":"1.01 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 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 \"}}]}","contact":"<p>Director, <a href=\"https://www.usgs.gov/programs/national-geospatial-program\" data-mce-href=\"https://www.usgs.gov/programs/national-geospatial-program\">National Geospatial Program</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive, Mail Stop 511<br>Reston, VA 20192</p><p>Email: <a href=\"mailto:3DEP@usgs.gov\" data-mce-href=\"mailto:3DEP@usgs.gov\">3DEP@usgs.gov</a></p>","tableOfContents":"<ul><li>Introduction</li><li>Flood Risk Management</li><li>Natural Resources Conservation</li><li>Urban and Regional Planning</li><li>Geologic Resource Assessment and Hazard Mitigation</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2023-06-13","noUsgsAuthors":false,"publicationDate":"2023-06-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Cretini, Chris 0000-0002-0821-7832 cretinic@usgs.gov","orcid":"https://orcid.org/0000-0002-0821-7832","contributorId":171788,"corporation":false,"usgs":true,"family":"Cretini","given":"Chris","email":"cretinic@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":874780,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70246259,"text":"70246259 - 2023 - Elucidating the magma plumbing system of Ol Doinyo Lengai (Natron Rift, Tanzania) Using satellite geodesy and numerical modeling","interactions":[],"lastModifiedDate":"2023-06-28T13:57:51.294025","indexId":"70246259","displayToPublicDate":"2023-06-13T08:48:03","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16133,"text":"Journal of Volcanology and Geothermal Resources","active":true,"publicationSubtype":{"id":10}},"title":"Elucidating the magma plumbing system of Ol Doinyo Lengai (Natron Rift, Tanzania) Using satellite geodesy and numerical modeling","docAbstract":"<p><span>Ol Doinyo Lengai, located in the southern Eastern Branch of the East African Rift had several eruptive episodes with ash falls and&nbsp;lava flows&nbsp;(VEI 3) that caused damage to the nearby communities between 2007 and 2010. The volcano is remote and access is difficult. Although this volcano has been studied for decades, its plumbing system is still poorly understood, in part, because of the lack of precise observations of surface deformation during periods of quiet and unrest. This study investigates the volcanic plumbing system of Ol Doinyo Lengai and its surroundings using data from the network of permanent&nbsp;Global Navigation Satellite System&nbsp;(GNSS) sites monitoring the volcano (the TZVOLCANO network) around the flanks of the volcano and Interferometric Synthetic Aperture Radar (InSAR) observations. We constrain surface motions using 6 GNSS sites distributed around Ol Doinyo Lengai, operating between 2016 and 2021, and InSAR data covering nearly the same time period. Because of the complex local tectonics, the interpretation of the deformation pattern is not straightforward. We first invert the GNSS deformation and InSAR observations independently to infer potential deformation sources. Then we perform a joint inversion of both GNSS and InSAR datasets to verify our findings. We compare the results from the joint inversion with the results from inverting each dataset independently. The GNSS, InSAR, and joint inversion results point to a deflating source, located east of Ol Doinyo Lengai and southwest of the dormant volcano Gelai at a depth of 3.49&nbsp;±&nbsp;0.03&nbsp;km (GNSS inversion), 5.2&nbsp;±&nbsp;1.2&nbsp;km (InSAR inversion) and 3.49&nbsp;±&nbsp;0.06&nbsp;km (joint inversion) relative to the summit (vent) and with a volume change ∆V of −0.04&nbsp;±&nbsp;0.05&nbsp;×&nbsp;10</span><sup>6</sup><span>&nbsp;m</span><sup>3</sup><span>&nbsp;(GNSS inversion), −0.39&nbsp;±&nbsp;0.29&nbsp;×&nbsp;10</span><sup>6</sup><span>&nbsp;m</span><sup>3</sup><span>&nbsp;(InSAR inversion), and&nbsp;−&nbsp;0.04&nbsp;±&nbsp;0.01&nbsp;×&nbsp;10</span><sup>6</sup><span>&nbsp;m</span><sup>3</sup><span>&nbsp;(joint inversion). Although this is non-unique modeling of geodetic datasets with small signals, the inversion results suggest that Ol Doinyo Lengai could be fed by an offset multi-reservoir system that includes a shallow&nbsp;magma reservoir&nbsp;(&lt;5&nbsp;km) east of Ol Doinyo Lengai, possibly connected to a deeper magma reservoir.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2023.107821","usgsCitation":"Daud, N., Stamps, S., Battaglia, M., Huang, M., Saria, E., and Ji, K., 2023, Elucidating the magma plumbing system of Ol Doinyo Lengai (Natron Rift, Tanzania) Using satellite geodesy and numerical modeling: Journal of Volcanology and Geothermal Resources, v. 438, 107821, 16 p., https://doi.org/10.1016/j.jvolgeores.2023.107821.","productDescription":"107821, 16 p.","ipdsId":"IP-145102","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":443108,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2023.107821","text":"Publisher Index Page"},{"id":418585,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Tanzania","otherGeospatial":"Natron Rift,  Ol Doinyo Lengai","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              35.69259436508915,\n              -2.339521063494246\n            ],\n            [\n              35.69259436508915,\n              -3.369145554578978\n            ],\n            [\n              36.21613235881256,\n              -3.369145554578978\n            ],\n            [\n              36.21613235881256,\n              -2.339521063494246\n            ],\n            [\n              35.69259436508915,\n              -2.339521063494246\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"438","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Daud, Ntambila","contributorId":224260,"corporation":false,"usgs":false,"family":"Daud","given":"Ntambila","email":"","affiliations":[],"preferred":false,"id":876465,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stamps, Sarah 0000-0002-3531-1752","orcid":"https://orcid.org/0000-0002-3531-1752","contributorId":299923,"corporation":false,"usgs":false,"family":"Stamps","given":"Sarah","email":"","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":876466,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Battaglia, Maurizio 0000-0003-4726-5287 mbattaglia@usgs.gov","orcid":"https://orcid.org/0000-0003-4726-5287","contributorId":204742,"corporation":false,"usgs":true,"family":"Battaglia","given":"Maurizio","email":"mbattaglia@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":876467,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huang, Mong-Han","contributorId":192699,"corporation":false,"usgs":false,"family":"Huang","given":"Mong-Han","email":"","affiliations":[],"preferred":false,"id":876468,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Saria, Elifuraha","contributorId":315415,"corporation":false,"usgs":false,"family":"Saria","given":"Elifuraha","email":"","affiliations":[{"id":68311,"text":"Ardhi University, Tanzania","active":true,"usgs":false}],"preferred":false,"id":876469,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ji, Kang-Hyeun","contributorId":315416,"corporation":false,"usgs":false,"family":"Ji","given":"Kang-Hyeun","email":"","affiliations":[{"id":68313,"text":"Korea Institute for Geoscience","active":true,"usgs":false}],"preferred":false,"id":876470,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70254746,"text":"70254746 - 2023 - Examining dynamic occupancy of gray wolves in Idaho after a decade of managed harvest","interactions":[],"lastModifiedDate":"2024-06-07T16:04:10.587771","indexId":"70254746","displayToPublicDate":"2023-06-12T10:58:11","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Examining dynamic occupancy of gray wolves in Idaho after a decade of managed harvest","docAbstract":"<p><span>Gray wolves (</span><i>Canis lupus</i><span>) were reintroduced to Idaho, USA, in 1995–1996. The removal of Endangered Species Act protections in 2011 transferred wolf management to the state where wolves were subsequently classified as a harvested (i.e., hunted, trapped) big game species. We implemented a camera-based survey across Idaho from 2016–2021 as part of a population monitoring program. We used the resulting camera images in multi-year, dynamic and single-season occupancy models to examine potential changes in the asymptotic proportion of area occupied by wolves and assess the effect of cumulative wolf harvest from 2016–2021 on occupancy in the last year of the study, 2021. We also wanted to understand how habitat, prey, humans, harvest, livestock, and prey-related wolf removals affected wolf occupancy through their effects on colonization and extinction of occupancy cells through time. Statewide wolf occupancy did not change appreciably over the course of our study, with the proportion of survey cells occupied at an estimated high of 0.44 ± 0.03 (SE) in 2018 and a low of 0.39 ± 0.03 in 2020. Wolf colonization (i.e., probability that a cell switched from unoccupied to occupied between years) was positively associated with forest cover, images of humans, and the percent of neighboring cells that were occupied. Cell extinction (i.e., probability of switching from occupied to unoccupied between years) was negatively associated with neighboring cell occupancy. There were non-linear relationships between wolf harvest, colonization, and extinction. The single-season occupancy model demonstrated a positive relationship between harvest and occupancy at low to moderate levels of harvest (10–30%), but there was also evidence that high levels of harvest (&gt;30%) reduce occupancy. Our results indicate that although harvest might influence wolf occupancy at local scales, wolf occupancy remained relatively constant across the state and wolves remained well distributed across Idaho during the study.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22453","usgsCitation":"Ausband, D.E., Thompson, S.J., Oates, B.A., Roberts, S., Hurley, M., and Mumma, M., 2023, Examining dynamic occupancy of gray wolves in Idaho after a decade of managed harvest: Journal of Wildlife Management, v. 87, e22453, 17 p., https://doi.org/10.1002/jwmg.22453.","productDescription":"e22453, 17 p.","ipdsId":"IP-147620","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":429653,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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