Harvest in walleye Sander vitreus fisheries is size-selective and could influence phenotypic traits of spawners; however, contributions of individual spawners to recruitment are unknown. We used parentage analyses using single nucleotide polymorphisms to test whether parental traits were related to the probability of offspring survival in Escanaba Lake, Wisconsin. From 2017 to 2020, 1339 adults and 1138 juveniles were genotyped and 66% of the offspring were assigned to at least one parent. Logistic regression indicated the probability of reproductive success (survival of age-0 to first fall) was positively (but weakly) related to total length and growth rate in females, but not age. No traits analyzed were related to reproductive success for males. Our analysis identified the model with the predictors' growth rate and year for females and the models with year and age and year for males as the most likely models to explain variation in reproductive success. Our findings indicate that interannual variation (i.e., environmental conditions) likely plays a key role in determining the probability of reproductive success in this population and provide limited support that female age, length, and growth rate influence recruitment.
","language":"English","publisher":"Wiley","doi":"10.1111/eva.13665","usgsCitation":"Davis, R.P., Simmons, L.M., Shaw, S., Sass, G., Sard, N., Isermann, D.A., Larson, W.A., and Homola, J.J., 2024, Demographic patterns of walleye (Sander vitreus) reproductive success in a Wisconsin population: Evolutionary Applications, v. 17, no. 3, e13665, 16 p., https://doi.org/10.1111/eva.13665.","productDescription":"e13665, 16 p.","ipdsId":"IP-156437","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":440160,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/eva.13665","text":"External Repository"},{"id":433563,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","county":"Vilas County","otherGeospatial":"Escanaba Lake","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-88.9879,46.0971],[-88.9329,46.0746],[-88.9332,45.9822],[-89.0478,45.9822],[-89.0477,45.8953],[-89.1091,45.8973],[-89.1752,45.8993],[-89.1754,45.859],[-89.3008,45.8606],[-89.3007,45.9014],[-89.3628,45.8987],[-89.4256,45.8987],[-89.5498,45.8988],[-89.6741,45.8987],[-89.7571,45.8985],[-89.797,45.898],[-89.8199,45.8984],[-89.9212,45.8981],[-89.9846,45.8974],[-90.0428,45.8972],[-90.0442,45.9823],[-90.0134,45.9824],[-89.9853,45.9821],[-89.9289,45.9818],[-89.9282,46.0693],[-89.9288,46.1558],[-89.9287,46.2428],[-89.929,46.3],[-89.7599,46.268],[-89.7368,46.2636],[-89.5829,46.2347],[-89.5331,46.2252],[-89.5133,46.2215],[-89.4272,46.2048],[-89.3759,46.1949],[-89.2666,46.1737],[-89.2302,46.1662],[-89.0854,46.1365],[-88.9879,46.0971]]]},\"properties\":{\"name\":\"Vilas\",\"state\":\"WI\"}}]}","volume":"17","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-03-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Davis, Robert P.","contributorId":342846,"corporation":false,"usgs":false,"family":"Davis","given":"Robert","email":"","middleInitial":"P.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":910442,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simmons, Levi M.","contributorId":342849,"corporation":false,"usgs":false,"family":"Simmons","given":"Levi","email":"","middleInitial":"M.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":910443,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shaw, Stephanie L.","contributorId":342852,"corporation":false,"usgs":false,"family":"Shaw","given":"Stephanie L.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":910444,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sass, Greg G.","contributorId":342855,"corporation":false,"usgs":false,"family":"Sass","given":"Greg G.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":910445,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sard, Nicholas M.","contributorId":342858,"corporation":false,"usgs":false,"family":"Sard","given":"Nicholas M.","affiliations":[{"id":81942,"text":"State University of New York-Oswego","active":true,"usgs":false}],"preferred":false,"id":910446,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":910447,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Larson, Wesley A.","contributorId":342859,"corporation":false,"usgs":false,"family":"Larson","given":"Wesley","email":"","middleInitial":"A.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":910448,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Homola, Jared Joseph 0000-0003-3821-7224","orcid":"https://orcid.org/0000-0003-3821-7224","contributorId":303741,"corporation":false,"usgs":true,"family":"Homola","given":"Jared","email":"","middleInitial":"Joseph","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":910449,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70252109,"text":"70252109 - 2024 - Characterization of the structural–stratigraphic and reservoir controls on the occurrence of gas hydrates in the Eileen Gas Hydrate Trend, Alaska North Slope","interactions":[],"lastModifiedDate":"2024-03-14T12:24:16.636126","indexId":"70252109","displayToPublicDate":"2024-03-10T07:12:02","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17173,"text":"Journal of Marine Science Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of the structural–stratigraphic and reservoir controls on the occurrence of gas hydrates in the Eileen Gas Hydrate Trend, Alaska North Slope","docAbstract":"The amplitude and frequency content of background seismic noise is highly variable with geographic location. Understanding the characteristics and behavior of background seismic noise as a function of location can inform approaches to improve network performance and in turn increase earthquake detection capabilities. Here, we calculate power spectral density estimates in one‐hour windows for over 15 yr of vertical‐component data from the nine‐station Caribbean network (CU) and look at background noise within the 0.05–300 s period range. We describe the most visually apparent features observed at the CU stations. One of the most prominent features occurs in the 0.75–3 s band for which power levels are systematically elevated and decay as a function of proximity to the coastline. Further examination of this band on 1679 contiguous USArray Transportable Array stations reveals the same relationship. Such a relationship with coastal distance is not observed in the 4–8 s range more typical of globally observed secondary microseisms. A simple surface‐wave amplitude decay model fits the observed decay well with geometric spreading as the most important factor for stations near the coast (<∼50 km). The model indicates that power levels are strongly influenced by proximity to coastline at 0.75–3 s. This may be because power from nearshore wave action at 0.75–3 s overwhelms more distant and spatially distributed secondary microseism generation. Application of this basic model indicates that a power reduction of ∼25 dB can be achieved by simply installing the seismometer 25 km away from the coastline. This finding may help to inform future site locations and array design thereby improving network performance and data quality, and subsequently earthquake detection capabilities.
The deep sea is the largest biome on earth, but one of the least studied despite its critical role in global carbon cycling and climate buffering. Deep-sea organisms largely rely on particulate organic matter from the surface ocean for energy – these organisms in turn play critical roles in energy transport, transformation, storage, and sequestration of carbon. Within the deep sea, submarine canyons are amongst the most complex and dynamic environments in our oceans, where varied morphology, powerful currents, and variable nutrient conditions influence the distribution of species and transport of organic material throughout the water column and the seafloor. Significant habitat heterogeneity provides ideal substrates for cold-water corals, making submarine canyons of interest to conservation and management. However, how these and other topographic features in the deep ocean influence energy flow and trophic pathways is poorly known. Thus, submarine canyons serve as model systems to track variability in organic material flux and consequential utilization and assimilation by the benthos. In this study, we used an extensive stable isotope dataset to examine food-web structure in Baltimore and Norfolk submarine canyons and compared them to their adjacent slopes located along the U.S. Atlantic margin. Linear models were used to construct geospatially-explicit consumer isoscapes that predicted variation in carbon and nitrogen isotopes across the canyon-slope seascape, providing a predictive map from which to test hypotheses on the distribution and flow of energy resources, relevant to understanding whole community function. Communities were composed of isotopically diverse feeding groups with photosynthetically-derived organic carbon providing the basal food resource. Canyon communities were distinct from the slope, with canyon consumers significantly 13C-depleted, indicating a greater supply and/or utilization of fresh organic matter compared to the slope. Isoscapes for benthic and suspension feeders were distinct, possibly due to the consumption of different quality organic matter sources (fresh = suspension feeders, old = benthic feeders), each with distinct isotope composition. To our knowledge, our modeled isoscapes represent the first spatially extensive isotopic maps of deep-sea consumers, providing insights into regional-scale variation in stable carbon and nitrogen isotopes for different consumer groups. They provide a baseline for tracking climate-change induced fluctuations in the quality and availability of surface primary production and the consequential impact to benthic communities, which play critical roles in carbon cycling in our world’s oceans.
Naegleria fowleri has been detected in drinking water distribution systems (DWDS) in Australia, Pakistan and the United States and is the causative agent of the highly fatal disease primary amoebic meningoencephalitis. Previous small scale field studies have shown that Meiothermus may be a potential biomarker for N. fowleri. However, correlations between predictive biomarkers in small sample sizes often breakdown when applied to larger more representative datasets. This study represents one of the largest and most rigorous temporal investigations of Naegleria fowleri colonisation in an operational DWDS in the world and measured the association of Meiothermus and N. fowleri over a significantly larger space and time in the DWDS. A total of 232 samples were collected from five sites over three-years (2016-2018), which contained 29 positive N. fowleri samples. Two specific operational taxonomic units assigned to M. chliarophilus and M. hypogaeus, were significantly associated with N. fowleri presence. Furthermore, inoculation experiments demonstrated that Meiothermus was required to support N. fowleri growth in field-collected biofilms. This validates Meiothermus as prospective biological tool to aid in the identification and surveillance of N. fowleri colonisable sites.
TThe U.S. Fish and Wildlife Service allows acoustical surveys and automated identification software to determine the presence of the endangered northern long-eared bat (Myotis septentrionalis) and Indiana bat (Myotis sodalis). Analytical software is required to assess presence probability on a site-night basis using a maximum likelihood estimator (MLE) that accounts for interspecific bat misclassification rates. The current standard for occupancy is a returned MLE P-value < 0.05 at the nightly level irrespective of the number of files identified as either northern long-eared bats or Indiana bats. These MLE P-values can vary based on presence of other bat species with similar calls and the relative proportions of all species recorded. Accordingly, there is concern that with few nightly northern long-eared bat or Indiana bat recordings or the presence of large numbers of high-frequency bats, false-negative findings from a swamping effect could result. Using data collected in 2020–2021 by the U.S. Fish and Wildlife Service to set nationwide acoustic monitoring guidelines, we examined the relationship of returned software MLE P-values from 4873 site-nights of acoustic detector data relative to nightly counts of northern long-eared bats and Indiana bats, overall counts of other high-frequency bats, and habitat cover type. For both northern long-eared bats and Indiana bats, nights with one or more echolocation pass files identified as either species but above the MLE P-value threshold largely occurred where nightly counts of the target species was <15 and their proportion to the count of high-frequency bat species was low. We followed this analysis with a simulation using a known call library and observed similar patterns. Accordingly, with few nightly cholocation passes, post-hoc visual assessment following automated software identification easily could be undertaken. Evidence of swamping by other high-frequency species causing positive file identification creating false-negative or false-positives of northern long-eared bats and Indiana bats was not apparent at nightly counts of either species > 10.
","language":"English","publisher":"Southeastern Association of Fish and Wildlife Agencies","usgsCitation":"Ford, W., De La Cruz, J., Thorne, E., Silvis, A., Armstrong, M., and King, R.A., 2024, Second guessing the maximum likelihood estimator values for bat surveys: Journal of the Southeastern Association of Fish and Wildlife Agencies, v. 11, p. 177-184.","productDescription":"8 p.","startPage":"177","endPage":"184","ipdsId":"IP-154040","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":499715,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://seafwa.org/journal/2024/second-guessing-maximum-likelihood-estimator-values-bat-surveys","linkFileType":{"id":5,"text":"html"}},{"id":433021,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Arkansas, Illinoise, Indiana, Kentucky, Missouri, New Jersey, Ohio, Tennessee, Virginia, West Virginia, Wisconsin","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-85.605165,34.984678],[-85.188741,32.889727],[-84.925427,32.221551],[-85.141831,31.839261],[-84.999626,31.009079],[-87.598928,30.997457],[-87.615367,30.837031],[-87.39643,30.617734],[-87.440678,30.391498],[-87.656888,30.249709],[-88.014572,30.222366],[-87.766626,30.262353],[-88.008396,30.684956],[-88.191542,30.317002],[-88.402283,30.510852],[-88.468879,31.930262],[-88.097888,34.892202],[-88.172102,34.955213],[-90.309297,34.995694],[-90.301957,34.880053],[-90.453916,34.891122],[-90.469897,34.72703],[-90.565437,34.736536],[-90.486966,34.701477],[-90.657488,34.322231],[-90.89456,34.22438],[-90.870461,34.082739],[-91.048367,33.985078],[-91.000107,33.799549],[-91.125527,33.70878],[-91.046778,33.706313],[-91.205377,33.700819],[-91.191973,33.417728],[-91.064701,33.453775],[-91.141615,33.299539],[-91.05873,33.286901],[-91.183662,33.141691],[-91.124639,33.064127],[-91.265018,33.005084],[-94.024475,33.019207],[-94.043375,33.542315],[-94.485577,33.65331],[-94.432015,35.367391],[-94.617814,36.577732],[-94.605734,39.122204],[-95.082714,39.516712],[-94.876344,39.806894],[-95.382957,40.027112],[-95.731179,40.525436],[-91.785916,40.611488],[-91.375746,40.391879],[-91.406202,40.542698],[-91.123928,40.669152],[-90.952233,40.954047],[-91.100829,41.230532],[-91.05158,41.385283],[-90.364128,41.579633],[-90.153362,41.915593],[-90.206369,42.1455],[-90.700095,42.622461],[-91.072447,42.787732],[-91.175193,43.103771],[-91.079278,43.228259],[-91.31531,43.881808],[-91.970266,44.365842],[-92.787906,44.737432],[-92.802056,45.057423],[-92.650422,45.398507],[-92.883987,45.65487],[-92.683924,45.903939],[-92.319329,46.069289],[-92.291647,46.604649],[-92.178891,46.716741],[-91.781928,46.697604],[-90.880358,46.957661],[-90.78804,46.844886],[-90.920813,46.637432],[-90.327548,46.550262],[-89.929158,46.29975],[-88.141001,45.930608],[-88.13364,45.823128],[-87.831442,45.714938],[-87.887828,45.358122],[-87.647454,45.345232],[-87.72796,45.207956],[-87.59188,45.094689],[-87.983065,44.72073],[-87.970702,44.530292],[-87.021088,45.296541],[-87.048406,45.094259],[-87.467089,44.553557],[-87.910172,43.236634],[-87.779527,42.732482],[-87.812461,42.232278],[-87.511043,41.696535],[-83.504334,41.731547],[-82.513827,41.384257],[-81.69325,41.514161],[-80.533774,41.973475],[-80.519342,39.721403],[-79.476662,39.721078],[-79.412051,39.240546],[-78.795857,39.606934],[-78.474178,39.51624],[-78.143478,39.690412],[-77.853436,39.607117],[-77.797714,39.19424],[-78.347087,39.466012],[-78.436658,39.141691],[-78.865905,38.767034],[-78.993997,38.850102],[-79.26291,38.444586],[-79.649075,38.591515],[-80.314806,37.500943],[-81.67821,37.201483],[-81.936744,37.38073],[-81.943981,37.5303],[-83.128813,36.757864],[-83.625013,36.625183],[-81.6469,36.611918],[-82.02664,36.130222],[-82.325169,36.119363],[-82.531292,35.972188],[-82.701065,36.034404],[-82.955751,35.809802],[-83.880074,35.518745],[-84.052612,35.269982],[-84.28252,35.227877],[-84.321869,34.988408],[-85.605165,34.984678]]],[[[-75.210876,39.865709],[-74.760605,40.198909],[-75.191059,40.637971],[-75.110595,41.002174],[-74.821884,41.293838],[-74.641544,41.332879],[-73.91188,41.001297],[-74.246237,40.520963],[-73.971381,40.371709],[-74.090945,39.799978],[-74.850748,38.954538],[-74.933571,38.928519],[-74.905181,39.174945],[-75.165979,39.201842],[-75.542894,39.470447],[-75.466263,39.750737],[-75.210876,39.865709]]],[[[-86.880572,45.331467],[-86.956192,45.351179],[-86.82177,45.427602],[-86.880572,45.331467]]]]},\"properties\":{\"name\":\"Alabama\",\"nation\":\"USA \"}}]}","volume":"11","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"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":910218,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De La Cruz, Jesse L.","contributorId":342611,"corporation":false,"usgs":false,"family":"De La Cruz","given":"Jesse L.","affiliations":[{"id":81893,"text":"Virginia Polytechnic and State University","active":true,"usgs":false}],"preferred":false,"id":910223,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thorne, Emily D.","contributorId":342606,"corporation":false,"usgs":false,"family":"Thorne","given":"Emily D.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":910219,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Silvis, Alexander","contributorId":342607,"corporation":false,"usgs":false,"family":"Silvis","given":"Alexander","affiliations":[{"id":40299,"text":"West Virginia Division of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":910220,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Armstrong, Michael P.","contributorId":342608,"corporation":false,"usgs":false,"family":"Armstrong","given":"Michael P.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":910221,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"King, R. Andrew","contributorId":342609,"corporation":false,"usgs":false,"family":"King","given":"R.","email":"","middleInitial":"Andrew","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":910222,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70263334,"text":"70263334 - 2024 - Second guessing the maximum likelihood estimator values for bat surveys.","interactions":[],"lastModifiedDate":"2025-02-06T16:31:28.382195","indexId":"70263334","displayToPublicDate":"2024-03-01T10:27:24","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3909,"text":"Journal of the Southeastern Association of Fish and Wildlife Agencies","active":true,"publicationSubtype":{"id":10}},"title":"Second guessing the maximum likelihood estimator values for bat surveys.","docAbstract":"The U.S. Fish and Wildlife Service allows acoustical surveys and automated identification software to determine the presence of the endangered northern long-eared bat (Myotis septentrionalis) and Indiana bat (Myotis sodalis). Analytical software is required to assess presence probability on a site-night basis using a maximum likelihood estimator (MLE) that accounts for interspecific bat misclassification rates. The current standard for occupancy is a returned MLE P-value < 0.05 at the nightly level irrespective of the number of files identified as either northern long-eared bats or Indiana bats. These MLE P-values can vary based on presence of other bat species with similar calls and the relative proportions of all species recorded. Accordingly, there is concern that with few nightly northern long-eared bat or Indiana bat recordings or the presence of large numbers of high-frequency bats, false-negative findings from a swamping effect could result. Using data collected in 2020–2021 by the U.S. Fish and Wildlife Service to set nationwide acoustic monitoring guidelines, we examined the relationship of returned software MLE P-values from 4873 site-nights of acoustic detector data relative to nightly counts of northern long-eared bats and Indiana bats, overall counts of other high-frequency bats, and habitat cover type. For both northern long-eared bats and Indiana bats, nights with one or more echolocation pass files identified as either species but above the MLE P-value threshold largely occurred where nightly counts of the target species was <15 and their proportion to the count of high-frequency bat species was low. We followed this analysis with a simulation using a known call library and observed similar patterns. Accordingly, with few nightly cholocation passes, post-hoc visual assessment following automated software identification easily could be undertaken. Evidence of swamping by other high-frequency species causing positive file identification creating false-negative or false-positives of northern long-eared bats and Indiana bats was not apparent at nightly counts of either species > 10.
","language":"English","publisher":"Southeastern Association of Fish and Wildlife Agencies","usgsCitation":"Ford, W., De La Cruz, J.L., Thorne, E., Silvis, A., Armstrong, M., and King, R.A., 2024, Second guessing the maximum likelihood estimator values for bat surveys.: Journal of the Southeastern Association of Fish and Wildlife Agencies, v. 11, p. 177-184.","productDescription":"8 p.","startPage":"177","endPage":"184","ipdsId":"IP-167031","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481729,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://seafwa.org/journal/2024/second-guessing-maximum-likelihood-estimator-values-bat-surveys"},{"id":481754,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Arkansas, Illinois, Indiana, Kentucky, Missouri, New Jersey, Ohio, Tennessee, Virginia, West Virginia, Wisconsin","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-85.605165,34.984678],[-85.188741,32.889727],[-84.925427,32.221551],[-85.141831,31.839261],[-84.999626,31.009079],[-87.598928,30.997457],[-87.615367,30.837031],[-87.39643,30.617734],[-87.440678,30.391498],[-87.656888,30.249709],[-88.014572,30.222366],[-87.766626,30.262353],[-88.008396,30.684956],[-88.191542,30.317002],[-88.402283,30.510852],[-88.468879,31.930262],[-88.097888,34.892202],[-88.172102,34.955213],[-90.309297,34.995694],[-90.301957,34.880053],[-90.453916,34.891122],[-90.469897,34.72703],[-90.565437,34.736536],[-90.486966,34.701477],[-90.657488,34.322231],[-90.89456,34.22438],[-90.870461,34.082739],[-91.048367,33.985078],[-91.000107,33.799549],[-91.125527,33.70878],[-91.046778,33.706313],[-91.205377,33.700819],[-91.191973,33.417728],[-91.064701,33.453775],[-91.141615,33.299539],[-91.05873,33.286901],[-91.183662,33.141691],[-91.124639,33.064127],[-91.265018,33.005084],[-94.024475,33.019207],[-94.043375,33.542315],[-94.485577,33.65331],[-94.432015,35.367391],[-94.617814,36.577732],[-94.605734,39.122204],[-95.082714,39.516712],[-94.876344,39.806894],[-95.382957,40.027112],[-95.731179,40.525436],[-91.785916,40.611488],[-91.375746,40.391879],[-91.406202,40.542698],[-91.123928,40.669152],[-90.952233,40.954047],[-91.100829,41.230532],[-91.05158,41.385283],[-90.364128,41.579633],[-90.153362,41.915593],[-90.206369,42.1455],[-90.700095,42.622461],[-91.072447,42.787732],[-91.175193,43.103771],[-91.079278,43.228259],[-91.31531,43.881808],[-91.970266,44.365842],[-92.787906,44.737432],[-92.802056,45.057423],[-92.650422,45.398507],[-92.883987,45.65487],[-92.683924,45.903939],[-92.319329,46.069289],[-92.291647,46.604649],[-92.178891,46.716741],[-91.781928,46.697604],[-90.880358,46.957661],[-90.78804,46.844886],[-90.920813,46.637432],[-90.327548,46.550262],[-89.929158,46.29975],[-88.141001,45.930608],[-88.13364,45.823128],[-87.831442,45.714938],[-87.887828,45.358122],[-87.647454,45.345232],[-87.72796,45.207956],[-87.59188,45.094689],[-87.983065,44.72073],[-87.970702,44.530292],[-87.021088,45.296541],[-87.048406,45.094259],[-87.467089,44.553557],[-87.910172,43.236634],[-87.779527,42.732482],[-87.812461,42.232278],[-87.365439,41.629536],[-86.824828,41.76024],[-83.504334,41.731547],[-82.513827,41.384257],[-81.69325,41.514161],[-80.533774,41.973475],[-80.519342,39.721403],[-79.476662,39.721078],[-79.412051,39.240546],[-78.795857,39.606934],[-78.474178,39.51624],[-78.143478,39.690412],[-77.853436,39.607117],[-77.759315,39.345314],[-77.058254,38.880069],[-77.286202,38.347025],[-77.024866,38.386791],[-76.910832,38.197073],[-76.265998,37.91138],[-76.339892,37.655966],[-76.722156,37.83668],[-76.252415,37.447274],[-76.475927,37.250543],[-76.300352,37.00885],[-76.780532,37.209336],[-76.482407,36.917364],[-76.058154,36.916947],[-75.867044,36.550754],[-81.680137,36.585518],[-81.718282,36.350388],[-82.02664,36.130222],[-82.325169,36.119363],[-82.531292,35.972188],[-82.701065,36.034404],[-82.955751,35.809802],[-83.880074,35.518745],[-84.052612,35.269982],[-84.28252,35.227877],[-84.321869,34.988408],[-85.605165,34.984678]]],[[[-75.210876,39.865709],[-74.760605,40.198909],[-75.191059,40.637971],[-75.110595,41.002174],[-74.821884,41.293838],[-74.641544,41.332879],[-73.91188,41.001297],[-74.246237,40.520963],[-73.971381,40.371709],[-74.090945,39.799978],[-74.850748,38.954538],[-74.933571,38.928519],[-74.905181,39.174945],[-75.165979,39.201842],[-75.542894,39.470447],[-75.466263,39.750737],[-75.210876,39.865709]]],[[[-75.242266,38.027209],[-75.962596,37.117535],[-75.981624,37.434116],[-75.712065,37.936082],[-75.242266,38.027209]]],[[[-86.880572,45.331467],[-86.956192,45.351179],[-86.82177,45.427602],[-86.880572,45.331467]]]]},\"properties\":{\"name\":\"Alabama\",\"nation\":\"USA \"}}]}","volume":"11","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"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":926480,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De La Cruz, Jesse L.","contributorId":343174,"corporation":false,"usgs":false,"family":"De La Cruz","given":"Jesse","email":"","middleInitial":"L.","affiliations":[{"id":81893,"text":"Virginia Polytechnic and State University","active":true,"usgs":false}],"preferred":false,"id":926482,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thorne, Emily D.","contributorId":342150,"corporation":false,"usgs":false,"family":"Thorne","given":"Emily D.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":926481,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Silvis, Alexander","contributorId":264896,"corporation":false,"usgs":false,"family":"Silvis","given":"Alexander","affiliations":[{"id":54472,"text":"RES Inc.","active":true,"usgs":false}],"preferred":false,"id":926483,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Armstrong, Michael P.","contributorId":342608,"corporation":false,"usgs":false,"family":"Armstrong","given":"Michael P.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":926485,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"King, R. Andrew","contributorId":342609,"corporation":false,"usgs":false,"family":"King","given":"R.","email":"","middleInitial":"Andrew","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":926486,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70251920,"text":"70251920 - 2024 - Allochthonous marsh subsidies enhances food web productivity in an estuary and its surrounding ecosystem mosaic","interactions":[],"lastModifiedDate":"2026-02-10T19:26:32.121354","indexId":"70251920","displayToPublicDate":"2024-02-29T06:51:13","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Allochthonous marsh subsidies enhances food web productivity in an estuary and its surrounding ecosystem mosaic","docAbstract":"Terrestrial organic matter is believed to play an important role in promoting resilient estuarine food webs, but the inherent interconnectivity of estuarine systems often obscures the origins and importance of these terrestrial inputs. To determine the relative contributions of terrestrial (allochthonous) and aquatic (autochthonous) organic matter to the estuarine food web, we analyzed carbon, nitrogen, and sulfur stable isotopes from multiple trophic levels, environmental strata, and habitats throughout the estuarine habitat mosaic. We used a Bayesian stable isotope mixing model (SIMM) to parse out relationships among primary producers, invertebrates, and a pelagic and demersal fish species (juvenile Chinook salmon and sculpin, respectively). The study was carried out in the Nisqually River Delta (NRD), Washington, USA, a recently-restored, macrotidal estuary with a diverse habitat mosaic. Plant groupings of macroalgae, eelgrass, and tidal marsh plants served as the primary base components of the NRD food web. About 90% of demersal sculpin diets were comprised of benthic and pelagic crustaceans that were fed by autochthonous organic matter contributions from aquatic vegetation. Juvenile salmon, on the other hand, derived their energy from a mix of terrestrial, pelagic, and benthic prey, including insects, dipterans, and crustaceans. Consequently, allochthonous terrestrial contributions of organic matter were much greater for salmon, ranging between 26 and 43%. These findings demonstrate how connectivity among estuarine habitat types and environmental strata facilitates organic matter subsidies. This suggests that management actions that improve or restore lateral habitat connectivity as well as terrestrial-aquatic linkages may enhance allochthonous subsidies, promoting increased prey resources and ecosystem benefits in estuaries.
We described source and phosphorus (P) retention potential of soft, fine-grained, streambed sediment and associated phosphorus (sed-P) during summer low-flow conditions. Combining in-channel, sed-P storage with relative age provided context on relevance to western Lake Erie Basin management goals.
In 2019, rapid geomorphic assessment (30 reaches) compared streambed-sediment storage (S) to streambank erosion (E), providing annual sediment budgets (S:E). Streambed sediment (13 reaches) was fingerprinted and analyzed for sed-P. The P saturation ratio (PSR; four reaches) quantified potential sorption/desorption of dissolved P (DP) between the water column and streambed sediment. Analyses were supplemented with data from 2017 and 2021. The ratio of two fallout radionuclides, beryllium-7 (54-day half-life) and excess lead-210 (22.3 years), apportioned “new” sediment based on time since rainfall contact.
Streambed sediment was mostly streambank (54–96%) for contributing areas > 2.7 km2; for upstream reaches, a larger percentage was apportioned as upland (cropland, pasture, forest, and road), with < 30% streambank. Streambank erosion correlated with contributing area; however, soil type (ecoregion), stream characteristics, and land use combined to drive streambed-sediment storage. Individual-reach S:E (accumulation of 0.01–35 years of streambank erosion) differentiated erosional and depositional in-channel environments. Most reaches indicated that 17–57% of sediment had recent contact with rainfall. Streambed-sediment PSR indicated a low potential for further sorption of DP from the water column; one reach was a P source when sampled.
Sed-P was higher in streambed sediment than in source samples, which varied by land use and ecoregion. This indicates homogenization resulting from in-stream sorption of DP during sediment transport that occurs over multiple events.
","language":"English","publisher":"Springer","doi":"10.1007/s11368-023-03713-6","usgsCitation":"Williamson, T.N., Fitzpatrick, F., Kreiling, R.M., Blount, J.D., and Karwan, D.L., 2024, Sediment budget of a Maumee River headwater tributary: How streambank erosion, streambed-sediment storage, and streambed-sediment source inform our understanding of legacy phosphorus: Journal of Soils and Sediments, v. 24, p. 1447-1463, https://doi.org/10.1007/s11368-023-03713-6.","productDescription":"17 p.","startPage":"1447","endPage":"1463","ipdsId":"IP-154572","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":440300,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11368-023-03713-6","text":"Publisher Index Page"},{"id":426142,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Indiana, Ohio","otherGeospatial":"Maumee River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -83.25514832288071,\n 41.67558956302901\n ],\n [\n -85.14964718502311,\n 41.67558956302901\n ],\n [\n -85.14964718502311,\n 40.43443489714787\n ],\n [\n -83.25514832288071,\n 40.43443489714787\n ],\n [\n -83.25514832288071,\n 41.67558956302901\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"24","noUsgsAuthors":false,"publicationDate":"2024-02-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Williamson, Tanja N. 0000-0002-7639-8495 tnwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-7639-8495","contributorId":198329,"corporation":false,"usgs":true,"family":"Williamson","given":"Tanja","email":"tnwillia@usgs.gov","middleInitial":"N.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893764,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fitzpatrick, Faith 0000-0002-9748-7075","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":209588,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893765,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kreiling, Rebecca M. 0000-0002-9295-4156","orcid":"https://orcid.org/0000-0002-9295-4156","contributorId":202193,"corporation":false,"usgs":true,"family":"Kreiling","given":"Rebecca","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":893766,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blount, James D. 0000-0002-0006-3947 jblount@usgs.gov","orcid":"https://orcid.org/0000-0002-0006-3947","contributorId":200231,"corporation":false,"usgs":true,"family":"Blount","given":"James","email":"jblount@usgs.gov","middleInitial":"D.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":893767,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Karwan, Diana L.","contributorId":207315,"corporation":false,"usgs":false,"family":"Karwan","given":"Diana","email":"","middleInitial":"L.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":893768,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70254155,"text":"70254155 - 2024 - Evaluating ecosystem protection and fragmentation of the world's major mountain regions","interactions":[],"lastModifiedDate":"2024-06-03T15:07:51.193185","indexId":"70254155","displayToPublicDate":"2024-02-26T07:07:33","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating ecosystem protection and fragmentation of the world's major mountain regions","docAbstract":"Conserving mountains is important for protecting biodiversity because they have high beta diversity and endemicity, facilitate species movement, and provide numerous ecosystem benefits for people. Mountains are often thought to have lower levels of human modification and contain more protected area than surrounding lowlands. To examine this, we compared biogeographic attributes of the largest, contiguous, mountainous region on each continent. In each region, we generated detailed ecosystems based on Köppen−Geiger climate regions, ecoregions, and detailed landforms. We quantified anthropogenic fragmentation of these ecosystems based on human modification classes of large wild areas, shared lands, and cities and farms. Human modification for half the mountainous regions approached the global average, and fragmentation reduced the ecological integrity of mountain ecosystems up to 40%. Only one-third of the major mountainous regions currently meet the Kunming-Montreal Global Biodiversity Framework target of 30% coverage for all protected areas; furthermore, the vast majority of ecosystem types present in mountains were underrepresented in protected areas. By measuring ecological integrity and human-caused fragmentation with a detailed representation of mountain ecosystems, our approach facilitates tracking progress toward achieving conservation goals and better informs mountain conservation.
The monarch butterfly is a flagship species and pollinator whose populations have declined by 85% in the recent two decades. Their largest population overwinters in Mexico, then disperses across eastern North America during March to August. During September-December, they return south using two flyways, one that spans the central United States and another that follows the Atlantic coast. Migrating monarchs fly diurnally and roost in groups nocturnally. We sought to determine the criteria this species uses to select roost sites, and the landscape context where those sites are found. We developed species distribution models of the landscape context of Atlantic flyway roost sites via citizen scientist observations and environmental variables that affect monarchs in the adult stage prior to migration, using two algorithms (Maximum Entropy and Genetic Algorithm for Ruleset Prediction). We developed two model validation methods: a citizen scientist smartphone application and peer-informed comparisons with aerial imagery. Proximity to surface water, elevation, and vegetative cover were the most important criteria for monarch roost site selection. Our model predicted 2.6 million ha (2.9% of the study area) of suitable roosting habitat in the Atlantic flyway, with the greatest availability along the Atlantic coastal plain and Appalachian Mountain ridges. Conservation of this species is difficult, as monarchs range over both large areas and various habitat types, and most current monarch research and conservation efforts are focused on the breeding and overwintering periods. These models can serve to help prioritize surveys of roosting sites and conservation efforts during the monarchs’ fall migration.
","language":"English","publisher":"Springer","doi":"10.1007/s10905-023-09844-5","usgsCitation":"Boxler, B., Loftin, C., and Sutton, W.B., 2024, Monarch butterfly (Danaus plexippus) roost site-selection criteria and locations east of the Appalachian Mountains, U.S.A.: Journal of Insect Behavior, v. 37, p. 22-48, https://doi.org/10.1007/s10905-023-09844-5.","productDescription":"27 p.","startPage":"22","endPage":"48","ipdsId":"IP-122336","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481012,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","noUsgsAuthors":false,"publicationDate":"2024-02-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Boxler, Brandon M.","contributorId":349226,"corporation":false,"usgs":false,"family":"Boxler","given":"Brandon M.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":924154,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loftin, Cyndy 0000-0001-9104-3724 cyndy_loftin@usgs.gov","orcid":"https://orcid.org/0000-0001-9104-3724","contributorId":146427,"corporation":false,"usgs":true,"family":"Loftin","given":"Cyndy","email":"cyndy_loftin@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":924153,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sutton, William B.","contributorId":88256,"corporation":false,"usgs":true,"family":"Sutton","given":"William","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":924155,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70263320,"text":"70263320 - 2024 - Monarch butterfly (Danaus plexippus) roost site-selection criteria and locations east of the Appalachian Mountains, U.S.A.","interactions":[],"lastModifiedDate":"2025-02-06T16:49:39.815475","indexId":"70263320","displayToPublicDate":"2024-02-23T10:46:37","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":19915,"text":"Journal of Insect Behavior","active":true,"publicationSubtype":{"id":10}},"title":"Monarch butterfly (Danaus plexippus) roost site-selection criteria and locations east of the Appalachian Mountains, U.S.A.","docAbstract":"The monarch butterfly is a flagship species and pollinator whose populations have declined by 85% in the recent two decades. Their largest population overwinters in Mexico, then disperses across eastern North America during March to August. During September-December, they return south using two flyways, one that spans the central United States and another that follows the Atlantic coast. Migrating monarchs fly diurnally and roost in groups nocturnally. We sought to determine the criteria this species uses to select roost sites, and the landscape context where those sites are found. We developed species distribution models of the landscape context of Atlantic flyway roost sites via citizen scientist observations and environmental variables that affect monarchs in the adult stage prior to migration, using two algorithms (Maximum Entropy and Genetic Algorithm for Ruleset Prediction). We developed two model validation methods: a citizen scientist smartphone application and peer-informed comparisons with aerial imagery. Proximity to surface water, elevation, and vegetative cover were the most important criteria for monarch roost site selection. Our model predicted 2.6 million ha (2.9% of the study area) of suitable roosting habitat in the Atlantic flyway, with the greatest availability along the Atlantic coastal plain and Appalachian Mountain ridges. Conservation of this species is difficult, as monarchs range over both large areas and various habitat types, and most current monarch research and conservation efforts are focused on the breeding and overwintering periods. These models can serve to help prioritize surveys of roosting sites and conservation efforts during the monarchs’ fall migration.
","language":"English","publisher":"Springer","doi":"10.1007/s10905-023-09844-5","usgsCitation":"Boxler, B., Loftin, C., and Sutton, W.B., 2024, Monarch butterfly (Danaus plexippus) roost site-selection criteria and locations east of the Appalachian Mountains, U.S.A.: Journal of Insect Behavior, v. 37, p. 22-48, https://doi.org/10.1007/s10905-023-09844-5.","productDescription":"27 p.","startPage":"22","endPage":"48","ipdsId":"IP-123861","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481758,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","noUsgsAuthors":false,"publicationDate":"2024-02-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Boxler, Brandon M.","contributorId":349226,"corporation":false,"usgs":false,"family":"Boxler","given":"Brandon M.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":926324,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loftin, Cyndy 0000-0001-9104-3724 cyndy_loftin@usgs.gov","orcid":"https://orcid.org/0000-0001-9104-3724","contributorId":146427,"corporation":false,"usgs":true,"family":"Loftin","given":"Cyndy","email":"cyndy_loftin@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":926323,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sutton, William B.","contributorId":88256,"corporation":false,"usgs":true,"family":"Sutton","given":"William","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":926325,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70256504,"text":"70256504 - 2024 - Assessing grass carp (Ctenopharyngodon idella) occupancy and detection probability within Lake Erie from environmental DNA","interactions":[],"lastModifiedDate":"2024-09-09T17:01:27.882316","indexId":"70256504","displayToPublicDate":"2024-02-23T06:11:31","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Assessing grass carp (Ctenopharyngodon idella) occupancy and detection probability within Lake Erie from environmental DNA","docAbstract":"Grass carp (Ctenopharyngodon idella), an invasive cyprinid within the Laurentian Great Lakes, is naturally reproducing in several Lake Erie tributaries, which has raised concerns of the species’ spread throughout Lake Erie and the other Great Lakes. Knowledge of the recent invasion extent outside of the western basin of Lake Erie, particularly in eastern tributaries and nearshore waters, is limited. Understanding the invasion extent would improve the efficacy of ongoing coordinated multi-agency control efforts. Molecular tools, such as environmental DNA (eDNA), have shown promise for early detection of aquatic invasive species. In this study, water samples (N = 476) were collected for grass carp eDNA monthly between May and November in 2018 and 2019, at three sites in the Michigan waters of Lake Erie and the Detroit River. We fit Bayesian multi-scale occupancy models to determine differences in eDNA capture and detection probability among grass carp qPCR assays, sampling sites, and across time. To determine whether grass carp were physically present, and to validate eDNA samples, we quantified recent grass carp presence in sampled areas using an existing acoustic telemetry and field sampling framework. Our results indicate that grass carp eDNA capture probability differed among sites, but there was no difference among months. Positive grass carp eDNA detections were observed across multiple months at each site, with 69% of site-specific sampling events testing positive for grass carp eDNA on at least one assay and replicate. The majority (65%) of weeks where positive eDNA sampling detections occurred also concurrently had one or more grass carp detected via acoustic telemetry 1–6 days prior. Our results highlight the potential utility of using eDNA to monitor the invasion extent of grass carp within the nearshore waters of Lake Erie. However, further evaluation of the factors that influence grass carp eDNA characteristics among sites within Lake Erie are needed to determine its efficacy for surveillance protocols by natural resource management agencies.
","language":"English","publisher":"Reabic","doi":"10.3391/mbi.2024.15.1.04","usgsCitation":"Bopp, J., Nathan, L.R., Robinson, J.D., Kanefsky, J., Scribner, K., Herbst, S., and Robinson, K.F., 2024, Assessing grass carp (Ctenopharyngodon idella) occupancy and detection probability within Lake Erie from environmental DNA: Management of Biological Invasions, v. 15, no. 1, p. 51-72, https://doi.org/10.3391/mbi.2024.15.1.04.","productDescription":"22 p.","startPage":"51","endPage":"72","ipdsId":"IP-153893","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":440334,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2024.15.1.04","text":"Publisher Index Page"},{"id":433635,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Erie","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -83.49486489590893,\n 42.187220486618514\n ],\n [\n -83.49486489590893,\n 41.38443575807409\n ],\n [\n -82.35228677090853,\n 41.38443575807409\n ],\n [\n -82.35228677090853,\n 42.187220486618514\n ],\n [\n -83.49486489590893,\n 42.187220486618514\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bopp, Justin","contributorId":340933,"corporation":false,"usgs":false,"family":"Bopp","given":"Justin","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":907700,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nathan, Lucas R.","contributorId":340934,"corporation":false,"usgs":false,"family":"Nathan","given":"Lucas","email":"","middleInitial":"R.","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":907701,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robinson, John D.","contributorId":340936,"corporation":false,"usgs":false,"family":"Robinson","given":"John","email":"","middleInitial":"D.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":907702,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kanefsky, Jeanette","contributorId":340938,"corporation":false,"usgs":false,"family":"Kanefsky","given":"Jeanette","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":907703,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scribner, Kim T.","contributorId":340939,"corporation":false,"usgs":false,"family":"Scribner","given":"Kim T.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":907704,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Herbst, Seth","contributorId":340940,"corporation":false,"usgs":false,"family":"Herbst","given":"Seth","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":907705,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Robinson, Kelly Filer 0000-0001-8109-9492","orcid":"https://orcid.org/0000-0001-8109-9492","contributorId":340631,"corporation":false,"usgs":true,"family":"Robinson","given":"Kelly","email":"","middleInitial":"Filer","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907706,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70264388,"text":"70264388 - 2024 - Ensemble2: Scenarios ensembling for communication and performance analysis","interactions":[],"lastModifiedDate":"2025-03-14T14:40:51.762475","indexId":"70264388","displayToPublicDate":"2024-02-22T09:37:18","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5213,"text":"Epidemics","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Ensemble2: Scenarios ensembling for communication and performance analysis","title":"Ensemble2: Scenarios ensembling for communication and performance analysis","docAbstract":"Throughout the COVID-19 pandemic, scenario modeling played a crucial role in shaping the decision-making process of public health policies. Unlike forecasts, scenario projections rely on specific assumptions about the future that consider different plausible states-of-the-world that may or may not be realized and that depend on policy interventions, unpredictable changes in the epidemic outlook, etc. As a consequence, long-term scenario projections require different evaluation criteria than the ones used for traditional short-term epidemic forecasts. Here, we propose a novel ensemble procedure for assessing pandemic scenario projections using the results of the Scenario Modeling Hub (SMH) for COVID-19 in the United States (US). By defining a “scenario ensemble” for each model and the ensemble of models, termed “Ensemble
Comet 67P/Churyumov-Gerasimenko displays a pronounced hemispherical dichotomy in surface morphology, where the southern hemisphere exhibits more erosional features than the northern hemisphere due to receiving much greater solar radiation. Consequently, it is generally assumed that particles are ejected from the southern hemisphere through sublimation and a significant fraction eventually descends as airfall, covering the northern terrains. To investigate this south-to-north material transfer during the comet's perihelion passage, we used photoclinometry to measure material redistribution within its most extensive smooth terrain deposit around the Imhotep region. However, our findings do not align with this expected trend. Instead, we show that local-scale processes substantially impact the erosion and accumulation of material, with one area experiencing net erosion while another nearby region, just a few dozen meters away, sees sediment buildup. Our analysis underscores the complex interplay of processes shaping Comet 67P's surface and likely comets more generally.
Declining body size in fishes and other aquatic ectotherms associated with anthropogenic climate warming has significant implications for future fisheries yields, stock assessments and aquatic ecosystem stability. One proposed mechanism seeking to explain such body-size reductions, known as the gill oxygen limitation (GOL) hypothesis, has recently been used to model future impacts of climate warming on fisheries but has not been robustly empirically tested. We used brook trout (Salvelinus fontinalis), a fast-growing, cold-water salmonid species of broad economic, conservation and ecological value, to examine the GOL hypothesis in a long-term experiment quantifying effects of temperature on growth, resting metabolic rate (RMR), maximum metabolic rate (MMR) and gill surface area (GSA). Despite significantly reduced growth and body size at an elevated temperature, allometric slopes of GSA were not significantly different than 1.0 and were above those for RMR and MMR at both temperature treatments (15°C and 20°C), contrary to GOL expectations. We also found that the effect of temperature on RMR was time-dependent, contradicting the prediction that heightened temperatures increase metabolic rates and reinforcing the importance of longer-term exposures (e.g. >6 months) to fully understand the influence of acclimation on temperature–metabolic rate relationships. Our results indicate that although oxygen limitation may be important in some aspects of temperature–body size relationships and constraints on metabolic supply may contribute to reduced growth in some cases, it is unlikely that GOL is a universal mechanism explaining temperature–body size relationships in aquatic ectotherms. We suggest future research focus on alternative mechanisms underlying temperature–body size relationships, and that projections of climate change impacts on fisheries yields using models based on GOL assumptions be interpreted with caution.
","language":"English","publisher":"The Company of Biologists Ltd","doi":"10.1242/jeb.246477","usgsCitation":"Lonthair, J., Wegner, N., Cheng, B.S., Fangue, N., O'Donnell, M.J., Regish, A.M., Swenson, J.D., Argueta, E., McCormick, S.D., Letcher, B., and Komoroske, L., 2024, Smaller body size under warming is not due to gill-oxygen limitation in a coldwater salmonid: Journal of Experimental Biology, v. 227, no. 4, jeb246477, 12 p., https://doi.org/10.1242/jeb.246477.","productDescription":"jeb246477, 12 p.","ipdsId":"IP-154954","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":488658,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1242/jeb.246477","text":"Publisher Index Page"},{"id":484064,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"227","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-02-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Lonthair, Joshua K.","contributorId":352930,"corporation":false,"usgs":false,"family":"Lonthair","given":"Joshua K.","affiliations":[{"id":84305,"text":"Department of Environmental Conservation; University of Massachusetts at Amherst, Southwest Fisheries Science Center, National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":932489,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wegner, Nicholas C.","contributorId":352931,"corporation":false,"usgs":false,"family":"Wegner","given":"Nicholas C.","affiliations":[{"id":84307,"text":"NOAA - Southwest Fisheries Science Center, National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":932490,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cheng, Brian S.","contributorId":340496,"corporation":false,"usgs":false,"family":"Cheng","given":"Brian","email":"","middleInitial":"S.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":932491,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fangue, Nann A.","contributorId":342441,"corporation":false,"usgs":false,"family":"Fangue","given":"Nann A.","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":932492,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O'Donnell, Matthew J. 0000-0002-9089-2377","orcid":"https://orcid.org/0000-0002-9089-2377","contributorId":295467,"corporation":false,"usgs":true,"family":"O'Donnell","given":"Matthew","middleInitial":"J.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":932493,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Regish, Amy M. 0000-0003-4747-4265","orcid":"https://orcid.org/0000-0003-4747-4265","contributorId":265360,"corporation":false,"usgs":true,"family":"Regish","given":"Amy","email":"","middleInitial":"M.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":932494,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Swenson, John D.","contributorId":340613,"corporation":false,"usgs":false,"family":"Swenson","given":"John","email":"","middleInitial":"D.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":932495,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Argueta, Estefany","contributorId":352932,"corporation":false,"usgs":false,"family":"Argueta","given":"Estefany","affiliations":[{"id":84308,"text":"Department of Environmental Conservation; University of Massachusetts at Amherst","active":true,"usgs":false}],"preferred":false,"id":932496,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":932497,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Letcher, Benjamin 0000-0003-0191-5678","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":242666,"corporation":false,"usgs":true,"family":"Letcher","given":"Benjamin","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":932498,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Komoroske, Lisa M","contributorId":152475,"corporation":false,"usgs":false,"family":"Komoroske","given":"Lisa M","affiliations":[{"id":18933,"text":"NOAA Southwest Fisheries Science Center","active":true,"usgs":false}],"preferred":false,"id":932499,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70257187,"text":"70257187 - 2024 - Rupture jumping and seismic complexity in models of earthquake cycles for fault stepovers with off‐fault plasticity","interactions":[],"lastModifiedDate":"2024-08-13T12:13:56.685113","indexId":"70257187","displayToPublicDate":"2024-02-21T07:10:06","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18330,"text":"Bulletin of the Seismological Șociety of America","active":true,"publicationSubtype":{"id":10}},"title":"Rupture jumping and seismic complexity in models of earthquake cycles for fault stepovers with off‐fault plasticity","docAbstract":"Fault stepovers are prime examples of geometric complexity in natural fault zones that may affect seismic hazard by determining whether an earthquake rupture continues propagating or abruptly stops. However, the long‐term pattern of seismicity near‐fault stepovers and underlying mechanisms of rupture jumping in the context of earthquake cycles are rarely studied. Leveraging a hybrid numerical scheme combining the finite element and the spectral boundary integral methods, FEBE, we carry out fully dynamic simulations of sequences of earthquakes and aseismic slip for both compressive and tensile stepovers with off‐fault plasticity. We consider a rate‐and‐state friction law for the fault friction and pressure‐sensitive Drucker–Prager plasticity for the off‐fault bulk response. We observe that the accumulation of plastic deformation, an indication of off‐fault damage, is significantly different in the two cases, with more plastic deformation projected in the overlapping region for the tensile stepover. The seismic pattern for a tensile stepover is more complex than for a compressive stepover, and incorporating plasticity also increases complexity, relative to the elastic case. A tensile stepover with off‐fault plasticity shows rupture segmentation, temporal clustering, and frequent rupture jumping from one fault to another. These results shed light on possible mechanisms of rupture jumping in fault stepovers as well as the long‐term evolution of the fault zone.
Legacy contaminants and contaminants of emerging concern (CECs) were assessed in tree swallow (Tachycineta bicolor) tissue and diet samples from three drainages in the Milwaukee estuary, Wisconsin, USA, to understand exposures and possible biomarker responses. Two remote Wisconsin lakes were assessed for comparative purposes. Bioaccumulative classes of contaminants, such as polybrominated diphenyl ethers and per- and polyfluoroalkyl substances, while at higher concentrations than the reference lakes, did not vary significantly among sites or among the three drainages. Polycyclic aromatic hydrocarbons were assessed in diet and sediment and were from primarily pyrogenic sources. Ten biomarkers were assessed relative to contaminant exposure. Polychlorinated biphenyls (PCBs) were elevated above reference conditions at all Milwaukee sites but did not correlate with any measured biomarker responses. Only one site, Cedarburg, just downstream from a Superfund site, had elevated PCBs compared to other sites in the Milwaukee estuary. Few non-organochlorine insecticides or herbicides were detected in tree swallow liver tissue, except for the atrazine metabolite desethylatrazine. Few pharmaceuticals and personal care products were detected in liver tissue except for N,N-diethyl-meta-toluamide, iopamidol, and two antibiotics. The present study is one of the most comprehensive assessments to date, along with the previously published Maumee River data, on the exposure and effects of a wide variety of CECs in birds. Environ Toxicol Chem 2024;00:1–22. © 2024 SETAC. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.
We present a practical approach to intercompare a range of candidate digital elevation models (DEMs) based on predefined criteria and a statistically sound ranking approach. The presented approach integrates the randomized complete block design (RCBD) into a novel framework for DEM comparison. The method presented provides a flexible, statistically sound, and customizable tool for evaluating the quality of any raster—in this case, a DEM—by means of a ranking approach, which takes into account a confidence level and can use both quantitative and qualitative criteria. The users can design their own criteria for the quality evaluation in relation to their specific needs. The application of the RCBD method to rank six 1′′ global DEMs, considering a wide set of study sites, covering different morphological and land cover settings, highlights the potentialities of the approach. We used a suite of criteria relating to the differences in the elevation, slope, and roughness distributions compared to reference DEMs aggregated from 1- to 5-m light detection and ranging (LiDAR)-derived DEMs. Results confirmed the significant superiority of Copernicus DEM (CopDEM) 1′′ and its derivative forests and buildings removed DEM (FABDEM) as the overall best 1′′ global DEMs. They are slightly better than Advanced Land Observing Satellite (ALOS) and clearly outperform NASADEM and SRTM, which are, in turn, much better than advanced spaceborne thermal emission and reflection radiometer (ASTER).
Source apportionment of per- and polyfluoroalkyl substances (PFAS) requires an understanding of the mass loading of these compounds in river basins. However, there is a lack of temporally variable and catchment-scale mass loading data, meaning identification and prioritization of sources of PFAS to rivers for management interventions can be difficult. Here, we analyze PFAS concentrations and loads in the River Mersey to provide the first temporally robust estimates of PFAS export for a European river system and the first estimates of the contribution of wastewater treatment works (WwTWs) to total river PFAS export. We estimate an annual PFAS export of 68.1 kg for the River Mersey and report that the yield of perfluorooctanesulfonic acid (PFOS) and perfluorooctanoic acid (PFOA) in the catchment is among the highest recorded globally. Analysis of river and WwTW loads indicates approximately one-third of PFOA emitted from WwTWs is potentially stored in the catchment and approximately half of PFOS transported by the River Mersey may not originate from WwTWs. As governments move toward regulation of PFAS in WwTW effluents, our findings highlight the complexity of PFAS source apportionment and the need for catchment-scale mass loading data. This study indicates that strategies for reducing PFAS loading that focus solely on WwTW effluents may not achieve river water quality targets.
Both electronic tags (e.g., acoustic and radio transmitters) and conventional external tags are used to evaluate movement and population dynamics of fish. External tags are also sometimes used to facilitate the recovery of internal electronic tags or other instrumentation because healing can make it difficult to identify fish with internal tags based on appearance alone. With both tag types, tag shedding and failure of electronic tags can affect accuracy and precision of study results.
We used a decade (2011–2021) of recapture data for Walleye Sander vitreus tagged in the Laurentian Great Lakes, where fish were double- or triple-tagged with external tags (T-bar, loop, or internal anchor tags) and internal acoustic transmitters, to quantify external tag and internal transmitter shedding and transmitter failure rates.
In total, 1125 (33%) Walleye were recovered that had retained at least one external tag or internal transmitter. No confirmed cases of transmitter shedding were observed; 15 of 899 transmitters (2%) that were checked for functionality failed prior to the expected battery expiration. The retention of external T-bar tags 1 year after release differed depending on whether the tag was placed anterior or posterior to the secondary dorsal fin (anterior, fish length = 420 mm: 73% retention; anterior, fish length = 700 mm: 73%, posterior: 63%) but was <26% after 4 years for both tag positions and fish sizes. Internal anchor tags had an 88% 1-year retention probability and 81% 4-year retention probability. Loop tags had the highest 1-year retention (89%) but after 4 years retention (28–34% depending on agency) was comparable to that of T-bar tags.
Better understanding of tag retention characteristics through long-term tagging studies such as this can inform study design, be considered in model design, and ultimately improve inferences from mark–recapture studies.
","language":"English","publisher":"American Fisherie Society","doi":"10.1002/nafm.10973","usgsCitation":"Colborne, S., Faust, M., Brenden, T., Hayden, T., Robinson, J., MacDougall, T., Cook, H., Isermann, D.A., Dembkowski, D., Haffley, M., and Vandergoot, C., 2024, Estimating internal transmitter and external tag retention by Walleye in the Laurentian Great Lakes over multiple years: North American Journal of Fisheries Management, v. 44, no. 2, p. 377-393, https://doi.org/10.1002/nafm.10973.","productDescription":"17 p.","startPage":"377","endPage":"393","ipdsId":"IP-156407","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":440411,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10973","text":"Publisher Index Page"},{"id":432991,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-02-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Colborne, S.F.","contributorId":342705,"corporation":false,"usgs":false,"family":"Colborne","given":"S.F.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":910293,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Faust, M.D.","contributorId":342707,"corporation":false,"usgs":false,"family":"Faust","given":"M.D.","email":"","affiliations":[{"id":16232,"text":"Ohio Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":910294,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brenden, T.O.","contributorId":342709,"corporation":false,"usgs":false,"family":"Brenden","given":"T.O.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":910295,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hayden, T.A.","contributorId":342711,"corporation":false,"usgs":false,"family":"Hayden","given":"T.A.","email":"","affiliations":[{"id":81915,"text":"Michigan Department of Fisheries and Wildlife","active":true,"usgs":false}],"preferred":false,"id":910296,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Robinson, J.M.","contributorId":342712,"corporation":false,"usgs":false,"family":"Robinson","given":"J.M.","email":"","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":910297,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"MacDougall, T.M.","contributorId":342713,"corporation":false,"usgs":false,"family":"MacDougall","given":"T.M.","email":"","affiliations":[{"id":16762,"text":"Ontario Ministry of Natural Resources and Forestry","active":true,"usgs":false}],"preferred":false,"id":910298,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cook, H.A.","contributorId":342714,"corporation":false,"usgs":false,"family":"Cook","given":"H.A.","email":"","affiliations":[{"id":16762,"text":"Ontario Ministry of Natural Resources and Forestry","active":true,"usgs":false}],"preferred":false,"id":910299,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":910300,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Dembkowski, D.J.","contributorId":275185,"corporation":false,"usgs":false,"family":"Dembkowski","given":"D.J.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":910301,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Haffley, M.","contributorId":342715,"corporation":false,"usgs":false,"family":"Haffley","given":"M.","email":"","affiliations":[{"id":36966,"text":"Pennsylvania Fish and Boat Commission","active":true,"usgs":false}],"preferred":false,"id":910302,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Vandergoot, C.S.","contributorId":342716,"corporation":false,"usgs":false,"family":"Vandergoot","given":"C.S.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":910303,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70263664,"text":"70263664 - 2024 - Rotation of the microplates within the plate boundary in southwestern United States","interactions":[],"lastModifiedDate":"2025-02-19T15:27:45.740291","indexId":"70263664","displayToPublicDate":"2024-02-15T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7501,"text":"JGR Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Rotation of the microplates within the plate boundary in southwestern United States","docAbstract":"I investigate the long‐term, rigid motions of the 20 microplates identified by McCaffrey (2005,https://doi.org/10.1029/2004jb003307) within the Pacific‐North America plate boundary in southwestern United States. Those motions are described by the Euler vectors (Ωi0 for the ith microplate) given by McCaffrey for each microplate. McCaffrey noticed that the Euler poles for those microplates were aligned along the great circle that connects the geometric center of the microplate distribution with the PACI pole, the pole of rotation of the Pacific Plate (PA) about the North American Plate (NA). To explain that alignment, Thatcher et al. (2016,https://doi.org/10.1002/2015jb0126678.0) proposed replacing each Ωi0 by two, vertical‐axis rotations of the microplate, one ΩiR describing the trajectory (orbit) of its center of mass (CM) and the other ΩiS its rotation(spin) about that CM, where ΩiR + ΩiS = Ωi0. Moreover, they suggested that the orbital motion was being driven by drag from the rotating PA, which suggests that the ΩiR poles coincide with the PACI pole. Then rotation vectors ΩiR and ΩiS consistent with the given Ωi0 can be found for 17 of the microplates; the other 3 microplates are apparently affected by Basin‐and‐Range extension as well as PA relative motion. The long‐term motion of each of the 17 microplates then can be described as an orbital rotation about the PACI pole plus spin about the CM of the microplate. The closer the microplate CM is to the PA, the more nearly its orbital rotation rate approaches the rotation rate of the PA about the PACI pole.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023JB027856","usgsCitation":"Savage, J.C., 2024, Rotation of the microplates within the plate boundary in southwestern United States: JGR Solid Earth, v. 129, no. 2, e2023JB027856, 13 p., https://doi.org/10.1029/2023JB027856.","productDescription":"e2023JB027856, 13 p.","ipdsId":"IP-158459","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":482210,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Nevada, Utah","otherGeospatial":"southwestern United 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\"}}]}","volume":"129","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-02-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Savage, James C. 0000-0002-5114-7673 jasavage@usgs.gov","orcid":"https://orcid.org/0000-0002-5114-7673","contributorId":2412,"corporation":false,"usgs":true,"family":"Savage","given":"James","email":"jasavage@usgs.gov","middleInitial":"C.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927728,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70251780,"text":"70251780 - 2024 - Thermal traits of anurans database for the southeastern United States (TRAD): A database of thermal trait values for 40 anuran species","interactions":[],"lastModifiedDate":"2024-02-28T15:14:44.513167","indexId":"70251780","displayToPublicDate":"2024-02-13T09:09:52","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9341,"text":"Ichthyology & Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Thermal traits of anurans database for the southeastern United States (TRAD): A database of thermal trait values for 40 anuran species","docAbstract":"Thermal traits, or how an animal responds to changing temperatures, impacts species persistence and thus biodiversity. Trait databases, as repositories of consolidated, measured organismal attributes, allow researchers to link study species with specific trait values, enabling comparisons within and among species. Trait databases also help lay the groundwork to build mechanistic linkages between organisms and the environment. However, missing or hidden physiological trait data preclude building mechanistic estimates of climate change vulnerability for many species. Thus, physiologically focused trait databases present an opportunity to consolidate data and enable species-specific or multispecies, mechanistic evaluations of climate change vulnerability. Here, we present TRAD: thermal traits of anurans database for the southeastern United States, a database of thermal trait values related to physiological thermoregulation (critical thermal minima and maxima, preferred temperature), behavioral thermoregulation (activity period, retreat emergence temperature, basking temperature, minimum and maximum foraging temperatures), and body mass for 37 anuran species found within the southeastern United States. In total, TRAD contains 858 reported trait values for 37 of 40 species found in the region from 267 peer-reviewed papers, dissertations, or theses and is easily linked with trait data available in ATraiU, an ecological trait database for anurans in the United States. TRAD contains trait values for multiple life stages and a summarization of interspecific adult trait values. Availability of trait data varied widely among traits and species. Estimates of mass were the most common trait values reported, with values available for 32 species. Behavioral trait values comprised 23% of our database, with activity period available for 34 species. We found the most trait values for Cope's Gray Treefrog (Dryophytes chrysoscelis), with at least one trait value for eight traits in the database. Conversely, species in the genus Pseudacris generally had the fewest trait values available. Species with the largest geographic range sizes also had the greatest coverage of data across traits (rho 5 0.75, P , 0.001). TRAD can aid studies of anuran response to changing temperatures, physiological niche space and limitations, and potential drivers of anuran geographic range limits, influencing our understanding of other ecological and evolutionary patterns and processes and enabling multispecies comparisons of potential risk and resilience in the face of climate change.
","language":"English","publisher":"American society of Ichthyologists and Herpetologists","doi":"10.1643/h2022102","usgsCitation":"DuBose, T.P., Catalan, V., Moore, C.E., Farallo, V.R., Benson, A., Dade, J., Hopkins, W., and Mims, M.C., 2024, Thermal traits of anurans database for the southeastern United States (TRAD): A database of thermal trait values for 40 anuran species: Ichthyology & Herpetology, v. 112, no. 1, p. 21-30, https://doi.org/10.1643/h2022102.","productDescription":"10 p.","startPage":"21","endPage":"30","ipdsId":"IP-146981","costCenters":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"links":[{"id":467032,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1643/h2022102","text":"External Repository"},{"id":426056,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"southeastern United 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University","active":true,"usgs":false}],"preferred":false,"id":895534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Catalan, Victorjose","contributorId":305547,"corporation":false,"usgs":false,"family":"Catalan","given":"Victorjose","email":"","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":895535,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moore, Chloe E.","contributorId":292583,"corporation":false,"usgs":false,"family":"Moore","given":"Chloe","email":"","middleInitial":"E.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":895536,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Farallo, Vincent R. 0000-0001-6571-2015","orcid":"https://orcid.org/0000-0001-6571-2015","contributorId":305548,"corporation":false,"usgs":false,"family":"Farallo","given":"Vincent","email":"","middleInitial":"R.","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":895537,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Benson, Abigail 0000-0002-4391-107X","orcid":"https://orcid.org/0000-0002-4391-107X","contributorId":202078,"corporation":false,"usgs":true,"family":"Benson","given":"Abigail","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":895538,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dade, Jessica","contributorId":305550,"corporation":false,"usgs":false,"family":"Dade","given":"Jessica","email":"","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":895539,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hopkins, William A.","contributorId":201553,"corporation":false,"usgs":false,"family":"Hopkins","given":"William A.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":895540,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mims, Meryl C. 0000-0003-0570-988X","orcid":"https://orcid.org/0000-0003-0570-988X","contributorId":209951,"corporation":false,"usgs":false,"family":"Mims","given":"Meryl","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":895541,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70251422,"text":"ofr20231089 - 2024 - Annotated bibliography of scientific research on Taeniatherum caput-medusae published from January 2010 to January 2022","interactions":[],"lastModifiedDate":"2024-03-21T16:11:54.480469","indexId":"ofr20231089","displayToPublicDate":"2024-02-12T15:40:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-1089","displayTitle":"Annotated Bibliography of Scientific Research on Taeniatherum caput-medusae Published from January 2010 to January 2022","title":"Annotated bibliography of scientific research on Taeniatherum caput-medusae published from January 2010 to January 2022","docAbstract":"Integrating recent scientific knowledge into management decisions supports effective natural resource management and can lead to better resource outcomes. However, finding and accessing scientific knowledge can be time consuming and costly. To assist in this process, the U.S. Geological Survey is creating a series of annotated bibliographies on topics of management concern for western lands. Previously published reports introduced a methodology for preparing annotated bibliographies to facilitate the integration of recent, peer-reviewed science into resource management decisions. Therefore, relevant text from those efforts is reproduced here to frame the presentation. Invasive annual grasses are widely distributed throughout the western United States and threaten native ecosystems by altering fire regimes, replacing native plants, and altering grazing patterns, often with tremendous associated costs. One invasive annual grass, Taeniatherum caput-medusae (hereafter, medusahead), was first documented in the United States in 1887 and has been identified as a species of management concern. Medusahead’s life history traits allow it to quickly and effectively dominate native plant communities, and it has already taken over millions of acres in western North America. Although medusahead can spread widely and disrupt ecosystem function, it has been studied less than other western invasive grass species. We compiled and summarized peer-reviewed journal articles, data products, and formal technical reports (such as U.S. Department of Agriculture Forest Service General Technical Reports and U.S. Geological Survey Open-File Reports) on medusahead, published between January 2010 and January 2022. We first performed a systematic search of three reference databases and three government databases using the search phrase “medusahead” OR “medusa head” OR “Taeniatherum caput-medusae” OR “Taeniatherum caputmedusae” OR “Taeniatherum asperum.” We refined the initial list of products by removing (1) duplicates, (2) products not written in English, (3) publications that were not focused on North America, (4) publications that were not published as research, data products, or scientific review articles in peer-reviewed journals or as formal technical reports, and (5) products for which medusahead was not a research focus, or the study did not present new data or findings about medusahead. We summarized each product using a consistent structure (background, objectives, methods, location, findings, and implications) and identified the management topics (for example, species and population characteristics; habitat; and control and management efforts) addressed by each product. We also noted which publications included new geospatial data. The review process for this annotated bibliography included an initial internal colleague review of each summary, requesting input on each summary from an author of the original publication, and a formal peer review. Our initial searches resulted in 4,245 total products, of which 211 met our criteria for inclusion. The most commonly addressed management topics addressed in products summarized in the annotated bibliography were as follows: nonnative invasive plants, weed management, site-scale habitat characteristics, habitat restoration or reclamation, and cultural management of weeds. All published bibliographies, including the online version of this bibliography, are available at the Science for Resource Managers (https://apps.usgs.gov/science-for-resource-managers). This database is searchable by topic, location, and year and includes links to each original publication. The studies compiled and summarized here may inform planning and management actions that seek to maintain and restore sagebrush landscapes and associated native species across the western United States.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20231089","usgsCitation":"Meineke, J.K., Maxwell, L.M., Foster, A.C., McCall, L.E., Rutherford, T.K., Samuel, E.M., Selby, L.B., Willems, J.S., Kleist, N.J., and Jordan, S.E., 2024, Annotated bibliography of scientific research on Taeniatherum caput-medusae published from January 2010 to January 2022: U.S. Geological Survey Open-File Report 2023–1089, 164 p., https://doi.org/10.3133/ofr20231089.","productDescription":"x, 164 p.","onlineOnly":"Y","ipdsId":"IP-140487","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":425553,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1089/coverthb.jpg"},{"id":425554,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1089/ofr20231089.pdf","text":"Report","size":"3.80 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2023-1089"},{"id":425574,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1089/images"},{"id":425575,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1089/ofr20231089.xml"},{"id":426837,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20231089/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2023-1089"}],"contact":"Director, Fort Collins Science Center
U.S. Geological Survey
2150 Centre Ave., Bldg. C
Fort Collins, CO 80526-8118