{"pageNumber":"34","pageRowStart":"825","pageSize":"25","recordCount":10449,"records":[{"id":70240151,"text":"70240151 - 2023 - A model of transmissivity and hydraulic conductivity from electrical resistivity distribution derived from airborne electromagnetic surveys of the Mississippi River Valley Alluvial Aquifer, Midwest USA","interactions":[],"lastModifiedDate":"2023-03-31T15:16:16.810474","indexId":"70240151","displayToPublicDate":"2023-01-19T06:50:27","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"A model of transmissivity and hydraulic conductivity from electrical resistivity distribution derived from airborne electromagnetic surveys of the Mississippi River Valley Alluvial Aquifer, Midwest USA","docAbstract":"

Groundwater-flow models require the spatial distribution of the hydraulic conductivity parameter. One approach to defining this spatial distribution in groundwater-flow model grids is to map the electrical resistivity distribution by airborne electromagnetic (AEM) survey and establish a petrophysical relation between mean resistivity calculated as a nonlinear function of the resistivity layering and thicknesses of the layers and aquifer transmissivity compiled from historical aquifer tests completed within the AEM survey area. The petrophysical relation is used to transform AEM resistivity to transmissivity and to hydraulic conductivity over areas where the saturated thickness of the aquifer is known. The US Geological Survey applied this approach to a gain better understanding of the aquifer properties of the Mississippi River Valley alluvial aquifer. Alluvial-aquifer transmissivity data, compiled from 160 historical aquifer tests in the Mississippi Alluvial Plain (MAP), were correlated to mean resistivity calculated from 16,816 line-kilometers (km) of inverted resistivity soundings produced from a frequency-domain AEM survey of 95,000 km2 of the MAP. Correlated data were used to define petrophysical relations between transmissivity and mean resistivity by omitting from the correlations the aquifer-test and AEM sounding data that were separated by distances greater than 1 km and manually calibrating the relation coefficients to slug-test data. The petrophysical relation yielding the minimum residual error between simulated and slug-test data was applied to 2,364 line-km of AEM soundings in the 1,000-km2 Shellmound (Mississippi) study area to calculate hydraulic property distributions of the alluvial aquifer for use in future groundwater-flow models.

","language":"English","publisher":"Springer","doi":"10.1007/s10040-022-02590-6","usgsCitation":"Ikard, S., Minsley, B.J., Rigby, J.R., and Kress, W., 2023, A model of transmissivity and hydraulic conductivity from electrical resistivity distribution derived from airborne electromagnetic surveys of the Mississippi River Valley Alluvial Aquifer, Midwest USA: Hydrogeology Journal, v. 31, p. 313-334, https://doi.org/10.1007/s10040-022-02590-6.","productDescription":"22 p.","startPage":"313","endPage":"334","ipdsId":"IP-131404","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":444772,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10040-022-02590-6","text":"Publisher Index Page"},{"id":435495,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZBFXI5","text":"USGS data release","linkHelpText":"Historical (1940–2006) and recent (2019–20) aquifer slug test datasets used to model transmissivity and hydraulic conductivity of the Mississippi River Valley alluvial aquifer from recent (2018–20) airborne electromagnetic (AEM) survey data"},{"id":412493,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Mississippi River Valley Alluvial Aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -92.75162112363195,\n 32.09494813471724\n ],\n [\n -86.77759567445979,\n 32.09494813471724\n ],\n [\n -86.77759567445979,\n 38.26438477290091\n ],\n [\n -92.75162112363195,\n 38.26438477290091\n ],\n [\n -92.75162112363195,\n 32.09494813471724\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"31","noUsgsAuthors":false,"publicationDate":"2023-01-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Ikard, Scott 0000-0002-8304-4935","orcid":"https://orcid.org/0000-0002-8304-4935","contributorId":201775,"corporation":false,"usgs":true,"family":"Ikard","given":"Scott","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":862774,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Minsley, Burke J. 0000-0003-1689-1306","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":248573,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"","middleInitial":"J.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":862775,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rigby, James R. 0000-0002-5611-6307","orcid":"https://orcid.org/0000-0002-5611-6307","contributorId":260894,"corporation":false,"usgs":true,"family":"Rigby","given":"James","email":"","middleInitial":"R.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":862776,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kress, Wade 0000-0002-6833-028X","orcid":"https://orcid.org/0000-0002-6833-028X","contributorId":203539,"corporation":false,"usgs":true,"family":"Kress","given":"Wade","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":862777,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70249747,"text":"70249747 - 2023 - A field test of R package GPSeqClus: For establishing animal location clusters","interactions":[],"lastModifiedDate":"2023-10-26T12:15:31.229011","indexId":"70249747","displayToPublicDate":"2023-01-18T07:13:22","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9977,"text":"Ecological Solutions and Evidence","active":true,"publicationSubtype":{"id":10}},"title":"A field test of R package GPSeqClus: For establishing animal location clusters","docAbstract":"
  1. The ability to track animals with Global Positioning System (GPS) collars opened an enormous potential for studying animal movements and behaviour in their natural environment. One such endeavour is to identify clusters of GPS locations as a way to estimate predator kill rate. Clapp et al. (2021) developed an R package (GPSeqClus) to assess a location dataset based on user-defined parameters to identify clusters and their characteristics. These characteristics can then help to distinguish resting-site clusters from kill sites of their large (>50 kg) prey.
  2. We identified location clusters of an adult male wolf Canis lupus on Ellesmere Island, Nunavut, Canada in July 2009 and tracked him until he died in April 2010. Identifying location clusters was challenging because the collar only obtained two GPS locations per day (12 h apart). In July 2010, we searched 30 of 52 location-clusters we identified as kill/scavenge sites and found 17 of them as such, given they had muskox Ovibos moschatus or caribou Rangifer tarandus pearyi remains nearby. We also documented five wolf rendezvous sites, two den sites, and the wolf's death site to total 60 location-clusters in all.
  3. We used a two-step process in testing the R Package GPSeqClus (hereafter GPSeqClus): (1) compare the number of clusters our method discerned with the number identified by the new algorithm, and (2) compare the number of biologically significant clusters (e.g. den sites, kill/feeding sites) we found with the number the new algorithm located. We made these tests with GPSeqClus by varying the search radius, number of days at a site, and minimum number of locations required for a cluster.
  4. GPSeqClus compared well to our technique, with the best sub-algorithm among the 25 we tested only missing three of our identified clusters and yielding six additional clusters. GPSeqClus identified 16 of the 17 confirmed sites of remains, all wolf home sites, and the wolf's carcass site. Identifying clusters using a 500-m search radius, a 1.5-day window, and a minimum of two GPS locations per cluster was suitable for a coarse GPS acquisition rate of two locations per day when prey are large, such as muskox or caribou.
  5. Given that GPSeqClus performed well with our coarse location dataset, we expect it will also perform even better with a collar acquiring more than two locations per day. Having a field-tested utility such as GPSeqClus will enhance carnivore predation studies elsewhere.
","language":"English","publisher":"British Ecological Society","doi":"10.1002/2688-8319.12204","usgsCitation":"Cluff, H.D., and Mech, L.D., 2023, A field test of R package GPSeqClus: For establishing animal location clusters: Ecological Solutions and Evidence, v. 4, no. 1, e12204, 9 p., https://doi.org/10.1002/2688-8319.12204.","productDescription":"e12204, 9 p.","ipdsId":"IP-136647","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":444784,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2688-8319.12204","text":"Publisher Index Page"},{"id":422133,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-01-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Cluff, H. Dean","contributorId":53210,"corporation":false,"usgs":true,"family":"Cluff","given":"H.","email":"","middleInitial":"Dean","affiliations":[],"preferred":false,"id":886942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mech, L. David 0000-0003-3944-7769 david_mech@usgs.gov","orcid":"https://orcid.org/0000-0003-3944-7769","contributorId":2518,"corporation":false,"usgs":true,"family":"Mech","given":"L.","email":"david_mech@usgs.gov","middleInitial":"David","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":886920,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70239823,"text":"70239823 - 2023 - Beyond presence mapping: Predicting fractional cover of non-native vegetation in Sentinel-2 imagery using an ensemble of MaxEnt models","interactions":[],"lastModifiedDate":"2023-09-06T16:04:00.742929","indexId":"70239823","displayToPublicDate":"2023-01-17T09:12:01","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5347,"text":"Remote Sensing in Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Beyond presence mapping: Predicting fractional cover of non-native vegetation in Sentinel-2 imagery using an ensemble of MaxEnt models","docAbstract":"

Non-native species maps are important tools for understanding and managing biological invasions. We demonstrate a novel approach to extend presence modeling to map fractional cover (FC) of non-native yellow sweet clover Melilotus officinalis in the Northern Great Plains, USA. We used ensembles of MaxEnt models to map FC across landscapes from satellite imagery trained from regional aerial imagery that was trained by local unmanned aerial vehicle (UAV) imagery. Clover cover from field surveys and classified UAV imagery were nearly identical (n = 22, R2 = 0.99). Two classified UAV images provided training data to map clover presence with MaxEnt and National Agricultural Imagery Program (NAIP) aerial imagery. We binned cover predictions from NAIP imagery within each Sentinel-2 pixel into eight cover classes to create pure (100%) and FC (20%–95%) training data and modeled each class separately using MaxEnt and Sentinel-2 imagery. We mapped pure clover with one classification threshold and compared its performance to 15 candidate maps that included FC predictions outside pure predictions. Each FC map represented alternative combinations of five MaxEnt thresholds and three approaches to assign cover to pixels with multiple predictions from the FC ensemble. Evaluations of performance with independent datasets revealed maps including FC corresponded to field (n = 32, R2 range: 0.39–0.68) and UAV (n = 20, R2 range: 0.61–0.84) data better than pure clover maps (R2 = 0.15 and 0.31, respectively). Overall, the pure clover map predicted 3.2% cover, whereas the three best performing FC maps predicted 6.6%–8.0% cover. Including FC predictions increased accuracy and cover predictions which can improve ecological understanding of invasions. Our method allows efficient FC mapping for vegetative species discernible in UAV imagery and may be especially useful for mapping rare, irruptive or patchily distributed species with poor representation in field data, which challenges landscape-level mapping.

","language":"English","publisher":"Wiley","doi":"10.1002/rse2.325","usgsCitation":"Preston, T.M., Johnston, A.N., Ebenhoch, K.G., and Diehl, R.H., 2023, Beyond presence mapping: Predicting fractional cover of non-native vegetation in Sentinel-2 imagery using an ensemble of MaxEnt models: Remote Sensing in Ecology and Conservation, v. 9, no. 4, p. 512-526, https://doi.org/10.1002/rse2.325.","productDescription":"15 p.","startPage":"512","endPage":"526","ipdsId":"IP-135782","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":444792,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rse2.325","text":"Publisher Index Page"},{"id":435499,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P91X4EPQ","text":"USGS data release","linkHelpText":"Fractional cover estimates of sweet clover derived from UAV, aerial, and Sentinel-2 imagery for central Montana and northwest South Dakota, 2019"},{"id":412216,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, South Dakota","county":"Butte County, Harding County, Musselshell County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-108.6276,46.7487],[-108.5911,46.7491],[-108.5699,46.7489],[-108.5494,46.7486],[-108.5163,46.7481],[-108.4991,46.7483],[-108.4772,46.7489],[-108.4567,46.7491],[-108.3586,46.7503],[-108.3373,46.7509],[-108.2618,46.7524],[-108.2399,46.7525],[-108.2187,46.7526],[-108.1981,46.7532],[-108.1763,46.7533],[-107.8833,46.7568],[-107.878,46.7571],[-107.8276,46.7566],[-107.8279,46.7502],[-107.8221,46.7455],[-107.8162,46.7444],[-107.8164,46.7394],[-107.8118,46.7375],[-107.8101,46.7306],[-107.8155,46.7279],[-107.8295,46.7254],[-107.829,46.7218],[-107.8212,46.7184],[-107.8287,46.7126],[-107.819,46.7083],[-107.8238,46.7038],[-107.8186,46.7],[-107.811,46.693],[-107.8043,46.6942],[-107.8026,46.6873],[-107.7955,46.6835],[-107.7957,46.6784],[-107.7998,46.6758],[-107.802,46.6707],[-107.7983,46.6643],[-107.8024,46.6602],[-107.8044,46.6607],[-107.8082,46.6631],[-107.8111,46.659],[-107.8073,46.6539],[-107.8153,46.6522],[-107.8217,46.6413],[-107.8224,46.639],[-107.8152,46.638],[-107.8148,46.6325],[-107.8184,46.6243],[-107.829,46.6231],[-107.8298,46.6204],[-107.8188,46.6147],[-107.8367,46.5976],[-107.7971,46.5954],[-107.7986,46.495],[-107.7781,46.4951],[-107.7829,46.3948],[-107.9102,46.3931],[-107.9299,46.3935],[-107.9299,46.3779],[-107.947,46.3773],[-107.9482,46.3649],[-107.9693,46.3644],[-107.9712,46.3493],[-107.9915,46.3502],[-107.9901,46.335],[-108.0099,46.3358],[-108.0112,46.3171],[-108.0116,46.3065],[-108.0254,46.3068],[-108.0266,46.2761],[-108.0271,46.2624],[-108.0896,46.2626],[-108.1113,46.263],[-108.131,46.2628],[-108.3197,46.2632],[-108.3195,46.2504],[-108.3622,46.2502],[-108.3627,46.2351],[-108.3838,46.2354],[-108.4035,46.2352],[-108.4033,46.2196],[-108.4035,46.1949],[-108.4032,46.1812],[-108.4037,46.1665],[-108.4035,46.1528],[-108.4035,46.1326],[-108.5301,46.1327],[-108.5518,46.133],[-108.6574,46.1331],[-108.7782,46.1328],[-108.7778,46.2762],[-108.7988,46.2765],[-108.7993,46.3072],[-108.8211,46.307],[-108.822,46.3216],[-108.8325,46.3222],[-108.8318,46.3511],[-108.8423,46.3517],[-108.8419,46.3668],[-108.8636,46.3666],[-108.8634,46.3781],[-108.8642,46.4509],[-108.8846,46.4525],[-108.8856,46.4915],[-108.9074,46.4918],[-108.906,46.5775],[-108.9912,46.5775],[-108.9902,46.622],[-109.0101,46.6209],[-109.0104,46.6649],[-109.0094,46.7378],[-109.0091,46.7516],[-108.9038,46.7504],[-108.8647,46.7504],[-108.817,46.7507],[-108.7567,46.75],[-108.7382,46.7497],[-108.6958,46.7496],[-108.6276,46.7487]]],[[[-102.9587,45.2128],[-102.958,45.1251],[-102.9581,45.0388],[-102.9576,44.7781],[-102.9589,44.69],[-102.9653,44.6898],[-102.966,44.6036],[-103.1861,44.6039],[-103.2066,44.6039],[-103.3273,44.6042],[-103.4467,44.6053],[-103.5666,44.6044],[-103.8156,44.6048],[-103.8258,44.6023],[-103.8256,44.5982],[-103.8234,44.5937],[-103.8324,44.5939],[-103.8309,44.5889],[-103.8373,44.5888],[-103.8384,44.586],[-103.8417,44.5877],[-103.8464,44.5913],[-103.8533,44.5884],[-103.8567,44.5915],[-103.8641,44.5854],[-103.8702,44.5925],[-103.884,44.5985],[-103.8883,44.5952],[-103.8934,44.5942],[-103.8973,44.595],[-103.9018,44.5954],[-103.9061,44.5916],[-103.9053,44.5889],[-103.9105,44.5892],[-103.9144,44.59],[-103.9179,44.5849],[-103.9262,44.5838],[-103.9344,44.5799],[-103.9396,44.5812],[-103.9446,44.5783],[-103.9454,44.5819],[-103.9511,44.5808],[-103.9549,44.5789],[-103.9671,44.5791],[-103.9761,44.5811],[-103.9813,44.5814],[-103.983,44.5777],[-103.9997,44.5773],[-104.0183,44.5773],[-104.0229,44.5799],[-104.035,44.5782],[-104.0399,44.574],[-104.0457,44.5734],[-104.0564,44.5717],[-104.0571,44.9818],[-104.0571,44.9987],[-104.0397,44.9986],[-104.0399,45.0602],[-104.0402,45.1563],[-104.0403,45.169],[-104.0403,45.1774],[-104.0403,45.1832],[-104.0406,45.2143],[-104.041,45.2639],[-104.0425,45.5572],[-104.0426,45.5736],[-104.0424,45.6245],[-104.0425,45.6437],[-104.0425,45.6578],[-104.0425,45.6656],[-104.0426,45.6717],[-104.0426,45.6835],[-104.0433,45.7735],[-104.0434,45.7951],[-104.0435,45.8098],[-104.0437,45.8405],[-104.0439,45.8799],[-104.0441,45.9063],[-104.0443,45.9438],[-102.9956,45.944],[-102.9425,45.944],[-102.9445,45.8189],[-102.9439,45.7311],[-102.955,45.7318],[-102.9558,45.5584],[-102.9565,45.4711],[-102.9539,45.3852],[-102.9578,45.3851],[-102.9605,45.2982],[-102.9587,45.2128]]]]},\"properties\":{\"name\":\"Musselshell\",\"state\":\"MT\"}}]}","volume":"9","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-01-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Preston, Todd M. 0000-0002-8812-9233","orcid":"https://orcid.org/0000-0002-8812-9233","contributorId":204676,"corporation":false,"usgs":true,"family":"Preston","given":"Todd","email":"","middleInitial":"M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":862047,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnston, Aaron N. 0000-0003-4659-0504","orcid":"https://orcid.org/0000-0003-4659-0504","contributorId":201768,"corporation":false,"usgs":true,"family":"Johnston","given":"Aaron","email":"","middleInitial":"N.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":862048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ebenhoch, Kyle Gregory 0000-0001-7046-5557","orcid":"https://orcid.org/0000-0001-7046-5557","contributorId":299946,"corporation":false,"usgs":true,"family":"Ebenhoch","given":"Kyle","email":"","middleInitial":"Gregory","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":862049,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diehl, Robert H. 0000-0001-9141-1734 rhdiehl@usgs.gov","orcid":"https://orcid.org/0000-0001-9141-1734","contributorId":3396,"corporation":false,"usgs":true,"family":"Diehl","given":"Robert","email":"rhdiehl@usgs.gov","middleInitial":"H.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":862050,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70239912,"text":"70239912 - 2023 - Juxtaposition of intensive agriculture, vulnerable aquifers, and mixed chemical/microbial exposures in private-well tapwater in northeast Iowa","interactions":[],"lastModifiedDate":"2023-01-25T12:39:26.054546","indexId":"70239912","displayToPublicDate":"2023-01-17T06:35:44","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":13280,"text":"Environmental Science and Technology: Water","active":true,"publicationSubtype":{"id":10}},"title":"Juxtaposition of intensive agriculture, vulnerable aquifers, and mixed chemical/microbial exposures in private-well tapwater in northeast Iowa","docAbstract":"

In the United States and globally, contaminant exposure in unregulated private-well point-of-use tapwater (TW) is a recognized public-health data gap and an obstacle to both risk-management and homeowner decision making. To help address the lack of data on broad contaminant exposures in private-well TW from hydrologically-vulnerable (alluvial, karst) aquifers in agriculturally-intensive landscapes, samples were collected in 2018–2019 from 47 northeast Iowa farms and analyzed for 35 inorganics, 437 unique organics, 5 in vitro bioassays, and 11 microbial assays. Twenty-six inorganics and 51 organics, dominated by pesticides and related transformation products (35 herbicide-, 5 insecticide-, and 2 fungicide-related), were observed in TW. Heterotrophic bacteria detections were near ubiquitous (94 % of the samples), with detection of total coliform bacteria in 28 % of the samples and growth on at least one putative-pathogen selective media across all TW samples. Health-based hazard index screening levels were exceeded frequently in private-well TW and attributed primarily to inorganics (nitrate, uranium). Results support incorporation of residential treatment systems to protect against contaminant exposure and the need for increased monitoring of rural private-well homes. Continued assessment of unmonitored and unregulated private-supply TW is needed to model contaminant exposures and human-health risks.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2023.161672","usgsCitation":"Bradley, P., Kolpin, D., Thompson, D.A., Romanok, K., Smalling, K., Breitmeyer, S.E., Cardon, M.C., Cwiertny, D.M., Evans, N., Field, R.W., Focazio, M.J., Freeman, L.E., Givens, C.E., Gray, J.L., Hager, G.L., Hladik, M.L., Hoffman, J.N., Jones, R.R., Kanagy, L.K., Lane, R.F., McCleskey, R., Medgyesi, D., Medlock-Kakaley, E., Meppelink, S., Meyer, M., Stavreva, D.A., and Ward, M.H., 2023, Juxtaposition of intensive agriculture, vulnerable aquifers, and mixed chemical/microbial exposures in private-well tapwater in northeast Iowa: Environmental Science and Technology: Water, v. 868, 161672, 11 p., https://doi.org/10.1016/j.scitotenv.2023.161672.","productDescription":"161672, 11 p.","ipdsId":"IP-134194","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":444805,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2023.161672","text":"Publisher Index Page"},{"id":435501,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9IYT37H","text":"USGS data release","linkHelpText":"Target-Chemical Concentrations, Exposure Activity Ratios, and Bioassay Results for Assessment of Mixed-Organic/Inorganic Chemical Exposures in Northeast Iowa Private-Well Tapwater, 2018"},{"id":412305,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -93.12228849222048,\n 42.99050594750622\n ],\n [\n -93.12228849222048,\n 41.09871525515322\n ],\n [\n -89.9156424790619,\n 41.09871525515322\n ],\n [\n -89.9156424790619,\n 42.99050594750622\n ],\n [\n -93.12228849222048,\n 42.99050594750622\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"868","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bradley, Paul M. 0000-0001-7522-8606","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":221226,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":862342,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kolpin, Dana W. 0000-0002-3529-6505","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":205652,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana W.","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":862343,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Darrin A.","contributorId":238107,"corporation":false,"usgs":false,"family":"Thompson","given":"Darrin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":862344,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Romanok, Kristin M. 0000-0002-8472-8765","orcid":"https://orcid.org/0000-0002-8472-8765","contributorId":221227,"corporation":false,"usgs":true,"family":"Romanok","given":"Kristin M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":862345,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smalling, Kelly L. 0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":214623,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":862346,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Breitmeyer, Sara E. 0000-0003-0609-1559 sbreitmeyer@usgs.gov","orcid":"https://orcid.org/0000-0003-0609-1559","contributorId":172622,"corporation":false,"usgs":true,"family":"Breitmeyer","given":"Sara","email":"sbreitmeyer@usgs.gov","middleInitial":"E.","affiliations":[{"id":37464,"text":"WMA - 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Genetic diversity is critical to a population’s ability to overcome gradual environment change. Large-bodied wildlife existing in regions with relatively high human population density are vulnerable to isolation-induced genetic drift, population bottlenecks, and loss of genetic diversity. Moose (Alces americanus americanus) in eastern North America have a complex history of drastic population changes. Current and potential threats to moose populations in this region could be exacerbated by loss of genetic diversity and connectivity among subpopulations. Existing genetic diversity, gene flow, and population clustering and fragmentation of eastern North American moose are not well quantified, while physical and anthropogenic barriers to population connectivity already exist. Here, single nucleotide polymorphism (SNP) genotyping of 507 moose spanning five northeastern U.S. states and one southeastern Canadian province indicated low diversity, with a high proportion of the genomes sharing identity-by-state, with no consistent evidence of non-random mating. Gene flow estimates indicated bidirectionality between all pairs of sampled areas, with magnitudes reflecting clustering and differentiation patterns. A Discriminant Analysis of Principal Components analysis indicated that these genotypic data were best described with four clusters and indicated connectivity across the Saint Lawrence River and Seaway, a potential physical barrier to gene flow. Tests for genetic differentiation indicated restricted gene flow between populations across the Saint Lawrence River and Seaway, and between many sampled areas facing expanding human activity. These results document current genetic variation and connectivity of moose populations in eastern North America, highlight potential challenges to current population connectivity, and identify areas for future research and conservation.

","language":"English","publisher":"Springer Nature","doi":"10.1007/s10592-022-01496-w","usgsCitation":"Rosenblatt, E., Gieder, K., Donovan, T.M., Murdoch, J., Smith, T., Stephanie McKay, Heaton, M., Kalbfleisch, T., Murdoch, B., Bhattarai, S., Pacht, E., Verbist, E., Basnayake, V., and McKay, S., 2023, Genetic diversity and connectivity of moose (Alces americanus americanus) in eastern North America: Conservation Genetics, v. 24, p. 235-248, https://doi.org/10.1007/s10592-022-01496-w.","productDescription":"14 p.","startPage":"235","endPage":"248","ipdsId":"IP-139721","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481070,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10592-022-01496-w","text":"Publisher Index Page"},{"id":480758,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"New York, 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One of the most critical challenges we face today is access to clean water. Climate change, industrialization, high rates of urbanization, and population growth have resulted in many countries suffering from water crises, especially in the arid and semi-arid areas. Countries in different regions of the world have also been struggling over regional water availability and it is anticipated that these struggles may result in conflicts over shared water resources in these regions. Considering the adverse consequences of the water crisis, countries have been trying to increasingly cope with this problem of water availability by implementing sustainable water management plans and looking for alternative water supply sources.

","language":"English","publisher":"Frontiers Media","doi":"10.3389/fenvs.2023.1132758","usgsCitation":"Bustos-Terrones, Y.A., Norman, L., Perez-Estrada, L., El Nemr, A., and Bandala, E.R., 2023, Editorial: Advanced physico-chemical technologies for water detoxification and disinfection: Frontiers in Environmental Science, v. 11, 1132758, 3 p., https://doi.org/10.3389/fenvs.2023.1132758.","productDescription":"1132758, 3 p.","ipdsId":"IP-147820","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":444843,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fenvs.2023.1132758","text":"Publisher Index Page"},{"id":416549,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","noUsgsAuthors":false,"publicationDate":"2023-01-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Bustos-Terrones, Yaneth A.","contributorId":304606,"corporation":false,"usgs":false,"family":"Bustos-Terrones","given":"Yaneth","email":"","middleInitial":"A.","affiliations":[{"id":66127,"text":"CONACYT - Division of Postgraduate Studies and Research, Technological Institute of Culiacan, Culiacan, Sinaloa, Mexico.","active":true,"usgs":false}],"preferred":false,"id":871141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Norman, Laura M. 0000-0002-3696-8406","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":203300,"corporation":false,"usgs":true,"family":"Norman","given":"Laura M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":871142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perez-Estrada, Leonidas","contributorId":304607,"corporation":false,"usgs":false,"family":"Perez-Estrada","given":"Leonidas","email":"","affiliations":[{"id":65218,"text":"EURECAT, Spain","active":true,"usgs":false}],"preferred":false,"id":871143,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"El Nemr, Ahmed","contributorId":304608,"corporation":false,"usgs":false,"family":"El Nemr","given":"Ahmed","email":"","affiliations":[{"id":66129,"text":"Environment Division, National Institute of Oceanography and Fisheries (NIOF), Kayet Bey, Elanfoushy, Alexandria, Egypt. E-mail: ahmedmoustafaelnemr@yahoo.com","active":true,"usgs":false}],"preferred":false,"id":871144,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bandala, Erick R.","contributorId":304605,"corporation":false,"usgs":false,"family":"Bandala","given":"Erick","email":"","middleInitial":"R.","affiliations":[{"id":66126,"text":"Division of Hydrologic Sciences. Desert Research Institute. 755 E. Flamingo Road, Las Vegas, Nevada 89119, USA, Tel: 702 862 5395, e-mail: erick.bandala@dri.edu","active":true,"usgs":false}],"preferred":false,"id":871140,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70241145,"text":"70241145 - 2023 - The detection and attribution of extreme reductions in vegetation growth across the global land surface","interactions":[],"lastModifiedDate":"2023-03-15T15:27:33.034592","indexId":"70241145","displayToPublicDate":"2023-01-11T06:46:02","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"The detection and attribution of extreme reductions in vegetation growth across the global land surface","docAbstract":"

Negative extreme anomalies in vegetation growth (NEGs) usually indicate severely impaired ecosystem services. These NEGs can result from diverse natural and anthropogenic causes, especially climate extremes (CEs). However, the relationship between NEGs and many types of CEs remains largely unknown at regional and global scales. Here, with satellite-derived vegetation index data and supporting tree-ring chronologies, we identify periods of NEGs from 1981 to 2015 across the global land surface. We find 70% of these NEGs are attributable to five types of CEs and their combinations, with compound CEs generally more detrimental than individual ones. More importantly, we find that dominant CEs for NEGs vary by biome and region. Specifically, cold and/or wet extremes dominate NEGs in temperate mountains and high latitudes, whereas soil drought and related compound extremes are primarily responsible for NEGs in wet tropical, arid and semi-arid regions. Key characteristics (e.g., the frequency, intensity and duration of CEs, and the vulnerability of vegetation) that determine the dominance of CEs are also region- and biome-dependent. For example, in the wet tropics, dominant individual CEs have both higher intensity and longer duration than non-dominant ones. However, in the dry tropics and some temperate regions, a longer CE duration is more important than higher intensity. Our work provides the first global accounting of the attribution of NEGs to diverse climatic extremes. Our analysis has important implications for developing climate-specific disaster prevention and mitigation plans among different regions of the globe in a changing climate.

","language":"English","publisher":"Wiley","doi":"10.1111/gcb.16595","usgsCitation":"Yang, H., Munson, S.M., Huntingford, C., Carvalhais, N., Knapp, A., Li, X., Penuelas, J., Zscheichler, J., and Chen, A., 2023, The detection and attribution of extreme reductions in vegetation growth across the global land surface: Global Change Biology, v. 29, no. 8, p. 2351-2362, https://doi.org/10.1111/gcb.16595.","productDescription":"12 p.","startPage":"2351","endPage":"2362","ipdsId":"IP-140874","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":444867,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.16595","text":"Publisher Index Page"},{"id":414006,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"8","noUsgsAuthors":false,"publicationDate":"2023-01-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Yang, Huiping","contributorId":219482,"corporation":false,"usgs":false,"family":"Yang","given":"Huiping","email":"","affiliations":[],"preferred":false,"id":866264,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":866265,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huntingford, Chris","contributorId":303012,"corporation":false,"usgs":false,"family":"Huntingford","given":"Chris","email":"","affiliations":[{"id":65604,"text":"UK Centre for Ecology and Hydrology, Wallingford, Oxfordshire, OX10 8BB, UK","active":true,"usgs":false}],"preferred":false,"id":866266,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carvalhais, Nuno","contributorId":167796,"corporation":false,"usgs":false,"family":"Carvalhais","given":"Nuno","email":"","affiliations":[],"preferred":false,"id":866267,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Knapp, Alan K.","contributorId":139807,"corporation":false,"usgs":false,"family":"Knapp","given":"Alan K.","affiliations":[{"id":13277,"text":"Graduate Degree Program in Ecology and Department of Biology, Colorado State University, Ft. Collins, CO","active":true,"usgs":false}],"preferred":false,"id":866268,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Li, Xiangyi","contributorId":303013,"corporation":false,"usgs":false,"family":"Li","given":"Xiangyi","email":"","affiliations":[{"id":65605,"text":"Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China","active":true,"usgs":false}],"preferred":false,"id":866269,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Penuelas, Josep","contributorId":204946,"corporation":false,"usgs":false,"family":"Penuelas","given":"Josep","email":"","affiliations":[{"id":37012,"text":"Global Ecology Unit CREAF-CSIC-UAB, CSIC, Bellaterra (Catalonia) E-08193, Spain","active":true,"usgs":false}],"preferred":false,"id":866270,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zscheichler, Jakob","contributorId":303014,"corporation":false,"usgs":false,"family":"Zscheichler","given":"Jakob","email":"","affiliations":[{"id":65606,"text":"Department of Computational Hydrosystems, Helmholtz Centre for Environmental Research – UFZ, Leipzig, Germany","active":true,"usgs":false}],"preferred":false,"id":866271,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Chen, Anping","contributorId":303015,"corporation":false,"usgs":false,"family":"Chen","given":"Anping","email":"","affiliations":[{"id":37774,"text":"Department of Biology and Graduate Degree Program in Ecology, Colorado State University, Fort Collins, CO 80523, USA","active":true,"usgs":false}],"preferred":false,"id":866272,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70262069,"text":"70262069 - 2023 - Influence of camera model and alignment on the performance of paired camera stations","interactions":[],"lastModifiedDate":"2025-01-10T16:36:55.371829","indexId":"70262069","displayToPublicDate":"2023-01-10T10:31:08","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Influence of camera model and alignment on the performance of paired camera stations","docAbstract":"

The probability of obtaining images of target species may vary across camera models or relative position of cameras at survey locations. Alignment of cameras within paired camera stations (hereafter, stations) could affect species detection due to issues with image exposure. We quantified effects of 3 camera models and alignment (staggered, offset by a perpendicular distance of 4.6 m, and aligned, directly facing one another) on camera performance in a station design. Mean exposure events (flash from one camera overexposes or underexposes pictures) at aligned stations was 3.93 (SE = 1.01; n = 40), whereas no exposure events were documented at staggered (n = 36) stations. Overall frequency of exposure events of mammal images at aligned cameras was 44% (68 exposure events/153 images). On average, 8% (range 0−35%) of mammal images from aligned stations were exposure events. We detected no difference (P = 0.88) in exposure events among paired camera models. Further, we detected no overall differences (P ≥ 0.07) in paired camera performance (i.e., number of mammal images over survey interval) between aligned or staggered stations, though reliability (i.e., percentage of camera stations that lasted entire survey interval) varied (P ≤ 0.001) between model types. Research deploying 2 cameras within a camera station framework can eliminate exposure events by using a staggered camera alignment without affecting the number of usable mammal photos. Rigorous field testing prior to deployment of stations is warranted to optimize reliability. One of our low-cost models performed as well as a more expensive model within our paired camera stations at collecting mammal images, and thus could be incorporated into study designs without compromising quality of camera photo data. We suggest a pilot study before large-scale deployment to evaluate reliability and performance of cameras, particularly when deploying multiple models.

","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.1422","usgsCitation":"Swearingen, T., Klaver, R.W., Anderson, C.R., and Jacques, C., 2023, Influence of camera model and alignment on the performance of paired camera stations: Wildlife Society Bulletin, v. 47, no. 2, e1422, 11 p., https://doi.org/10.1002/wsb.1422.","productDescription":"e1422, 11 p.","ipdsId":"IP-117689","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467129,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wsb.1422","text":"Publisher Index Page"},{"id":465997,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","otherGeospatial":"Alice L. Kibble Field Station","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.43161311292845,\n 40.36213807902013\n ],\n [\n -91.43161311292845,\n 40.359129920123905\n ],\n [\n -91.4282069310208,\n 40.359129920123905\n ],\n [\n -91.4282069310208,\n 40.36213807902013\n ],\n [\n -91.43161311292845,\n 40.36213807902013\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"47","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-01-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Swearingen, Tim","contributorId":348115,"corporation":false,"usgs":false,"family":"Swearingen","given":"Tim","affiliations":[{"id":49637,"text":"Western Illinois University","active":true,"usgs":false}],"preferred":false,"id":922951,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klaver, Robert W. 0000-0002-3263-9701 bklaver@usgs.gov","orcid":"https://orcid.org/0000-0002-3263-9701","contributorId":3285,"corporation":false,"usgs":true,"family":"Klaver","given":"Robert","email":"bklaver@usgs.gov","middleInitial":"W.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":922952,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Charles R. Jr.","contributorId":75042,"corporation":false,"usgs":true,"family":"Anderson","given":"Charles","suffix":"Jr.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":922996,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jacques, Christopher N.","contributorId":348116,"corporation":false,"usgs":false,"family":"Jacques","given":"Christopher N.","affiliations":[{"id":49637,"text":"Western Illinois University","active":true,"usgs":false}],"preferred":false,"id":922953,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70239778,"text":"70239778 - 2023 - Burmese pythons in Florida: A synthesis of biology, impacts, and management tools","interactions":[],"lastModifiedDate":"2023-03-28T15:08:22.533713","indexId":"70239778","displayToPublicDate":"2023-01-10T07:02:29","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5071,"text":"NeoBiota","active":true,"publicationSubtype":{"id":10}},"title":"Burmese pythons in Florida: A synthesis of biology, impacts, and management tools","docAbstract":"

Burmese pythons (Python molurus bivittatus) are native to southeastern Asia, however, there is an established invasive population inhabiting much of southern Florida throughout the Greater Everglades Ecosystem. Pythons have severely impacted native species and ecosystems in Florida and represent one of the most intractable invasive-species management issues across the globe. The difficulty stems from a unique combination of inaccessible habitat and the cryptic and resilient nature of pythons that thrive in the subtropical environment of southern Florida, rendering them extremely challenging to detect. Here we provide a comprehensive review and synthesis of the science relevant to managing invasive Burmese pythons. We describe existing control tools and review challenges to productive research, identifying key knowledge gaps that would improve future research and decision making for python control.

","language":"English","publisher":"Pensoft","doi":"10.3897/neobiota.80.90439","usgsCitation":"Guzy, J.C., Falk, B., Smith, B., Willson, J.D., Reed, R., Aumen, N., Avery, M.L., Bartoszek, I., Campbell, E., Cherkiss, M., Claunch, N.M., Currylow, A.F., Dean, T., Dixon, J., Engeman, R.M., Funck, S., Gibble, R., Hengstebeck, K.C., Humphrey, J.S., Hunter, M., Josimovich, J., Ketterlin Eckles, J., Kirkland, M., Mazzotti, F., McCleery, R.A., Miller, M.A., McCollister, M.F., Parker, M.R., Pittman, S.E., Rochford, M.R., Romagosa, C., Roybal, A., Snow, R.W., Spencer, M.M., Waddle, H., Yackel Adams, A.A., and Hart, K., 2023, Burmese pythons in Florida: A synthesis of biology, impacts, and management tools: NeoBiota, v. 80, p. 1-119, https://doi.org/10.3897/neobiota.80.90439.","productDescription":"119 p.; Data Release","startPage":"1","endPage":"119","ipdsId":"IP-136053","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":444884,"rank":4,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3897/neobiota.80.90439","text":"Publisher Index Page"},{"id":435516,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9A0V89V","text":"USGS data release","linkHelpText":"Diet of invasive Burmese Pythons (Python molorus bivittatus) in southern Florida, 1995-2020"},{"id":412070,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":414822,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CZI2KO","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.41914099200025,\n 27.14107855796958\n ],\n [\n -82.41914099200025,\n 24.851330389987098\n ],\n [\n -79.51998158284334,\n 24.851330389987098\n ],\n [\n -79.51998158284334,\n 27.14107855796958\n ],\n [\n -82.41914099200025,\n 27.14107855796958\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"80","noUsgsAuthors":false,"publicationDate":"2023-01-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Guzy, Jacquelyn C. 0000-0003-2648-398X","orcid":"https://orcid.org/0000-0003-2648-398X","contributorId":288520,"corporation":false,"usgs":true,"family":"Guzy","given":"Jacquelyn","email":"","middleInitial":"C.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":861868,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Falk, Bryan G. 0000-0002-9690-5626","orcid":"https://orcid.org/0000-0002-9690-5626","contributorId":265395,"corporation":false,"usgs":false,"family":"Falk","given":"Bryan G.","affiliations":[{"id":54672,"text":"National Park Service, Everglades National Park, 40001 SR 9336, Homestead, Florida 33034, USA","active":true,"usgs":false}],"preferred":false,"id":861869,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Brian J. 0000-0002-0531-0492","orcid":"https://orcid.org/0000-0002-0531-0492","contributorId":139672,"corporation":false,"usgs":false,"family":"Smith","given":"Brian J.","affiliations":[{"id":12876,"text":"Cherokee Nation Technology Solutions","active":true,"usgs":false}],"preferred":false,"id":861870,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Willson, John David","contributorId":301063,"corporation":false,"usgs":false,"family":"Willson","given":"John","email":"","middleInitial":"David","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":861871,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reed, Robert 0000-0001-8349-6168","orcid":"https://orcid.org/0000-0001-8349-6168","contributorId":267796,"corporation":false,"usgs":true,"family":"Reed","given":"Robert","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":861872,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Aumen, Nicholas 0000-0002-5277-2630","orcid":"https://orcid.org/0000-0002-5277-2630","contributorId":223550,"corporation":false,"usgs":true,"family":"Aumen","given":"Nicholas","affiliations":[{"id":269,"text":"FLWSC-Ft. 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Rockwell 0000-0003-0923-3911","orcid":"https://orcid.org/0000-0003-0923-3911","contributorId":257054,"corporation":false,"usgs":false,"family":"Parker","given":"M.","email":"","middleInitial":"Rockwell","affiliations":[{"id":16809,"text":"James Madison University","active":true,"usgs":false}],"preferred":false,"id":861895,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Pittman, Shannon E.","contributorId":22169,"corporation":false,"usgs":false,"family":"Pittman","given":"Shannon","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":861896,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Rochford, Michael R.","contributorId":200644,"corporation":false,"usgs":false,"family":"Rochford","given":"Michael","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":861897,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Romagosa, Christina","contributorId":178167,"corporation":false,"usgs":false,"family":"Romagosa","given":"Christina","affiliations":[],"preferred":false,"id":861898,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Roybal, Art","contributorId":301070,"corporation":false,"usgs":false,"family":"Roybal","given":"Art","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":861899,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Snow, Ray W.","contributorId":76449,"corporation":false,"usgs":false,"family":"Snow","given":"Ray","email":"","middleInitial":"W.","affiliations":[{"id":13415,"text":"Everglades National Park","active":true,"usgs":false}],"preferred":false,"id":861900,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Spencer, McKayla M.","contributorId":301071,"corporation":false,"usgs":false,"family":"Spencer","given":"McKayla","email":"","middleInitial":"M.","affiliations":[{"id":35758,"text":"FWC","active":true,"usgs":false}],"preferred":false,"id":861901,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Waddle, Hardin 0000-0003-1940-2133","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":201976,"corporation":false,"usgs":true,"family":"Waddle","given":"Hardin","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":861902,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Yackel Adams, Amy A. 0000-0002-7044-8447 yackela@usgs.gov","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":3116,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"Amy","email":"yackela@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":861903,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":220333,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":861904,"contributorType":{"id":1,"text":"Authors"},"rank":37}]}} ,{"id":70254992,"text":"70254992 - 2023 - A comprehensive multi-state conditional occupancy model for evaluating interactions of non-native and native species","interactions":[],"lastModifiedDate":"2024-06-12T00:28:35.498755","indexId":"70254992","displayToPublicDate":"2023-01-09T19:26:54","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"A comprehensive multi-state conditional occupancy model for evaluating interactions of non-native and native species","docAbstract":"

A major challenge in ecology is disentangling interactions of non-native, potentially invasive species on native species. Conditional two-species occupancy models examine the effects of dominant species (e.g., non-native) on subordinate species (e.g., native) while considering the possibility that occupancy of one species may affect occupancy and/ or detection of the other. Although conditional two-species models are useful for evaluating the influence of one species on presence of another, it is possible that species interactions are density dependent. Therefore, we developed a novel two-species occupancy model that incorporates multiple abundance states (i.e., absent, present, abundant) of the native species. We showcase the utility of this model with a case study that incorporates random effects and covariates on both occupancy and detection to help disentangle species interactions given varying occupancy and detection in different abundance states. We use snorkel survey data from the Umpqua basin, Oregon, where it is hypothesized that smallmouth bass Micropterus dolomieu, a non-native piscivore, exclude Umpqua chub Oregonichthys kalawatseti, a small endemic minnow. From our two-species multi-state (2SMS) model, we concluded that average occupancy was low for both fishes, and that when non-native bass were present, overall native chub occupancy in the present (0.18 ± 0.05 SD) and abundant (0.19 ± 0.03) states was higher than when non-natives were absent (0.14 ± 0.02/ 0.08 ± 0.02), indicating the non-native was not excluding the native species. By incorporating a species interaction factor, we found a positive association (6.75 ± 5.54 SD) between native chub and non-native bass. The covariates strongly related to occupancy were elevation, algae, and land cover type (urban and shrub). Detection probability for both species (0.21–0.82) was most strongly related to the covariates day of year, water temperature, gravel substrate, and stream order/ magnitude. Incorporation of detection probability and covariates enabled interpretation of interactions between the two species that may have been missed without their inclusion in the modeling process. Our new 2SMS occupancy model can be used by scientists and managers with a broad range of survey and covariate data to disentangle species interactions problems to help them inform management decisions.

","language":"English","publisher":"Frontiers","doi":"10.3389/fevo.2022.1014707","usgsCitation":"Wohner, P.J., Scheerer, P.D., Meeuwig, M.H., and Peterson, J., 2023, A comprehensive multi-state conditional occupancy model for evaluating interactions of non-native and native species: Frontiers in Ecology and Evolution, v. 10, 1014707, 15 p., https://doi.org/10.3389/fevo.2022.1014707.","productDescription":"1014707, 15 p.","ipdsId":"IP-142262","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":444908,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2022.1014707","text":"Publisher Index Page"},{"id":429934,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","noUsgsAuthors":false,"publicationDate":"2023-01-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Wohner, Patti J.","contributorId":338233,"corporation":false,"usgs":false,"family":"Wohner","given":"Patti","email":"","middleInitial":"J.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":903033,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scheerer, Paul D.","contributorId":171713,"corporation":false,"usgs":false,"family":"Scheerer","given":"Paul","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":903034,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meeuwig, Michael H.","contributorId":198608,"corporation":false,"usgs":false,"family":"Meeuwig","given":"Michael","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":903035,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903036,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70240343,"text":"70240343 - 2023 - Skinks of Oceania, New Guinea, and Eastern Wallacea: An underexplored biodiversity hotspot","interactions":[],"lastModifiedDate":"2023-12-04T16:56:24.898446","indexId":"70240343","displayToPublicDate":"2023-01-06T09:36:30","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2984,"text":"Pacific Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Skinks of Oceania, New Guinea, and Eastern Wallacea: An underexplored biodiversity hotspot","docAbstract":"

Context: Skinks comprise the dominant component of the terrestrial vertebrate fauna in Oceania, New Guinea, and Eastern Wallacea (ONGEW). However, knowledge of their diversity is incomplete, and their conservation needs are poorly understood.

Aims: To explore the diversity and threat status of the skinks of ONGEW and identify knowledge gaps and conservation needs.

Methods: We compiled a list of all skink species occurring in the region and their threat categories designated by the International Union for Conservation of Nature. We used available genetic sequences deposited in the National Center for Biotechnology Information’s GenBank to generate a phylogeny of the region’s skinks. We then assessed their diversity within geographical sub-divisions and compared to other reptile taxa in the region.

Key results: Approximately 300 species of skinks occur in ONGEW, making it the second largest global hotspot of skink diversity following Australia. Many phylogenetic relationships remain unresolved, and many species and genera are in need of taxonomic revision. One in five species are threatened with extinction, a higher proportion than almost all reptile families in the region.

Conclusions: ONGEW contain a large proportion of global skink diversity on <1% of the Earth’s landmass. Many are endemic and face risks such as habitat loss and invasive predators. Yet, little is known about them, and many species require taxonomic revision and threat level re-assessment.

Implications: The skinks of ONGEW are a diverse yet underexplored group of terrestrial vertebrates, with many species likely facing extreme risks in the near future. Further research is needed to understand the threats they face and how to protect them.

","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/PC22034","usgsCitation":"Slavenko, A., Allison, A., Austin, C.C., Bauer, A., Brown, R.M., Fisher, R., Ineich, I., Iova, B., Karin, B.R., Kraus, F., Mecke, S., Meiri, S., Morrison, C., Oliver, P., O'Shea, M., Richmond, J.Q., Shea, G.M., Tallowin, O.J., and Chapple, D.G., 2023, Skinks of Oceania, New Guinea, and Eastern Wallacea: An underexplored biodiversity hotspot: Pacific Conservation Biology, v. 29, p. 526-543, https://doi.org/10.1071/PC22034.","productDescription":"18 p.","startPage":"526","endPage":"543","ipdsId":"IP-147217","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":444930,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1071/pc22034","text":"Publisher Index Page"},{"id":412739,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Oceania, New Guinea, and Eastern Wallacea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -179.9,\n -7.258868636963612\n ],\n [\n -110.62943188659182,\n -7.969226261035985\n ],\n [\n -113.22166908750683,\n 16.542314067942627\n ],\n [\n -126.00902556736253,\n 21.14164017714512\n ],\n [\n -149.86589904335716,\n 19.973696776372265\n ],\n [\n -172.16168385988232,\n 17.362016475632487\n ],\n [\n -179.9,\n 15.407320140165368\n ],\n [\n -179.9,\n -7.40430790645226\n ],\n [\n -179.9,\n -7.258868636963612\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 179.9,\n 15.307692776830379\n ],\n [\n 139.2687916748988,\n 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S.","contributorId":291716,"corporation":false,"usgs":false,"family":"Tallowin","given":"Oliver","email":"","middleInitial":"J. S.","affiliations":[],"preferred":false,"id":863503,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Chapple, David G.","contributorId":291648,"corporation":false,"usgs":false,"family":"Chapple","given":"David","email":"","middleInitial":"G.","affiliations":[{"id":27278,"text":"Monash University","active":true,"usgs":false}],"preferred":false,"id":863504,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70251405,"text":"70251405 - 2023 - Tectonics, geochronology, and petrology of the Walker Top Granite, Appalachian Inner Piedmont, North Carolina (USA): Implications for Acadian and Neoacadian orogenesis","interactions":[],"lastModifiedDate":"2024-02-09T13:05:30.876955","indexId":"70251405","displayToPublicDate":"2023-01-05T07:01:25","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Tectonics, geochronology, and petrology of the Walker Top Granite, Appalachian Inner Piedmont, North Carolina (USA): Implications for Acadian and Neoacadian orogenesis","docAbstract":"

The Walker Top Granite (here formally named) is a peraluminous megacrystic granite that occurs in the Cat Square terrane, Inner Piedmont, part of the southern Appalachian Acadian-Neoacadian deformational and metamorphic core. The granite occurs as disconnected concordant to semi-concordant plutons in migmatitic, sillimanite zone rocks of the Brindle Creek thrust sheet. Locally garnet-bearing, the Walker Top Granite contains blocky alkali feldspar megacrysts 1–10 cm long in a groundmass of muscovite-biotite-quartz-plagioclase-alkali feldspar and accessory to trace zircon, titanite, epidote, sillimanite (xenocrysts), and apatite. It varies from granite to granodiorite and contains several xenoliths of biotite gneiss, amphibolite, quartzite, and in one location encloses charnockite (here formally named Vale Charnockite). New sensitive high-resolution ion microprobe U-Pb zircon magmatic crystallization ages obtained from the plutons of the Walker Top Granite are: 407 ± 1 Ma in the Brushy Mountains; 366 ± 2 Ma in the South Mountains; and 358 ± 5 Ma in the Vale–Cat Square area. An age of 366 ± 3 Ma was obtained from the Vale Charnockite at its type locality. Major-, trace-element, and isotopic chemistry indicates that Walker Top is a high-K, peraluminous granite, plotting as volcanic arc or syn-collisional on tectonic discrimination diagrams and suggests that it represents deep-seated anatectic magma with S- to I-type affinity. The alkali calcic, ferroan Vale Charnockite likely formed by deep crustal melting, and similar geochemical and trace-element compositions suggest a similar tectonic origin as Walker Top Granite. The discontinuous nature of the Walker Top Granite plutons precludes it intruded as a volcanic arc. Instead, the peraluminous nature, common xenoliths of surrounding country rock, and geochemical and isotopic signatures suggest it formed by partial melting of Cat Square and Tugaloo terrane rocks. Following emplacement and crystallization, Walker Top plutons were deformed into elliptical to linear shapes—SW-directed sheath folds—enveloped by partially melted, pelitic and quart-zofeldspathic rocks. Collectively, Walker Top and other plutons helped weaken the crust and facilitate lateral crustal flow in a SW-directed, tectonically driven orogenic channel during the Acadian-Neoacadian event. A comparison with the northern Appalachians recognizes a similar temporal magmatic and deformational history during the Acadian and Neoacadian orogenies, although while the Walker Top Granite intruded the lower plate during eastward subduction beneath the peri-Gondwanan Carolina superterrane, the northern Appalachian plutons intruded the upper plate during subduction of the Avalon superterrane westward beneath Laurentia. We hypothesize that a transform fault, located near the southern end of the New York promontory, accommodated oppositely directed lateral plate motion and different subduction polarity between the Carolina and Avalon superterranes during the Acadian and Neoacadian orogenies.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02315.1","usgsCitation":"Merschat, A.J., Hatcher, R., Giorgis, S.D., Byars, H.E., Mapes, R., Wilson, C.G., and Gatewood, M.P., 2023, Tectonics, geochronology, and petrology of the Walker Top Granite, Appalachian Inner Piedmont, North Carolina (USA): Implications for Acadian and Neoacadian orogenesis: Geosphere, v. 19, no. 1, p. 19-46, https://doi.org/10.1130/GES02315.1.","productDescription":"28 p.","startPage":"19","endPage":"46","ipdsId":"IP-137136","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":444951,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02315.1","text":"Publisher Index Page"},{"id":425535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -84.77493574827355,\n 34.97578383197397\n ],\n [\n -84.20364668577365,\n 34.43387878183107\n ],\n [\n -82.35794356077368,\n 34.79554337554853\n ],\n [\n -80.90774824827399,\n 35.97779119602099\n ],\n [\n -80.22659590452405,\n 36.61531439634534\n ],\n [\n -80.24856856077375,\n 37.19511896213322\n ],\n [\n -81.12747481077406,\n 37.31754057460199\n ],\n [\n -82.42386152952382,\n 36.967237206422126\n ],\n [\n -83.54446699827392,\n 36.40338580110094\n ],\n [\n -84.291537310774,\n 35.46045356626024\n ],\n [\n -84.77493574827355,\n 34.97578383197397\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"19","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-01-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Merschat, Arthur J. 0000-0002-9314-4067 amerschat@usgs.gov","orcid":"https://orcid.org/0000-0002-9314-4067","contributorId":4556,"corporation":false,"usgs":true,"family":"Merschat","given":"Arthur","email":"amerschat@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":894438,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hatcher, Robert D.","contributorId":178197,"corporation":false,"usgs":false,"family":"Hatcher","given":"Robert D.","affiliations":[],"preferred":false,"id":894439,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Giorgis, Scott D.","contributorId":333969,"corporation":false,"usgs":false,"family":"Giorgis","given":"Scott","email":"","middleInitial":"D.","affiliations":[{"id":33771,"text":"SUNY Geneseo","active":true,"usgs":false}],"preferred":false,"id":894440,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Byars, Heather E.","contributorId":147723,"corporation":false,"usgs":false,"family":"Byars","given":"Heather","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":894441,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mapes, Russell","contributorId":333970,"corporation":false,"usgs":false,"family":"Mapes","given":"Russell","email":"","affiliations":[{"id":80026,"text":"ExxonMobile","active":true,"usgs":false}],"preferred":false,"id":894442,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilson, Crystal G.","contributorId":196875,"corporation":false,"usgs":false,"family":"Wilson","given":"Crystal","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":894443,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gatewood, Matthew P.","contributorId":333972,"corporation":false,"usgs":false,"family":"Gatewood","given":"Matthew","email":"","middleInitial":"P.","affiliations":[{"id":80027,"text":"University of Tennessee--Knoxville","active":true,"usgs":false}],"preferred":false,"id":894444,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70247140,"text":"70247140 - 2023 - Flea control on prairie dogs (Cynomys spp.) with fipronil bait pellets: Potential plague mitigation tool for rapid field application and wildlife conservation","interactions":[],"lastModifiedDate":"2023-07-25T13:59:10.593137","indexId":"70247140","displayToPublicDate":"2023-01-03T08:42:32","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Flea control on prairie dogs (Cynomys spp.) with fipronil bait pellets: Potential plague mitigation tool for rapid field application and wildlife conservation","title":"Flea control on prairie dogs (Cynomys spp.) with fipronil bait pellets: Potential plague mitigation tool for rapid field application and wildlife conservation","docAbstract":"

Sylvatic plague is a widespread, primarily flea-vectored disease in western North America. Because plague is highly lethal to endangered black-footed ferrets (Mustela nigripes, BFFs) and the prairie dogs (Cynomys spp., PDs) on which BFFs depend for habitat and prey, minimizing the impacts of plague is a priority at BFF reintroduction sites. We developed a new, flour-based bait pellet containing 0.84 mg of fipronil and weighing ∼1.25 g (FipBits). We measured the degree and duration of flea control on black-tailed PDs (C. ludovicianus) in Montana and on Gunnison's PDs (C. gunnisoni) in Arizona, USA from 2018–2020. FipBits were distributed on treated plots one time at a rate of 125/ha. Fleas were virtually eliminated in Montana from 1 mo posttreatment to 1 yr later and remained substantially depressed 2 yr posttreatment. With the split colony design, we probably underestimated the degree of flea control achieved with FipBits due to crossover edge effects along the arbitrary line dividing the plots. Flea control in Arizona was significant from 1 mo posttreatment to 1 yr later, but flea abundance had recovered by 2 yr posttreatment. Flea control was evaluated from 2020–2021 in South Dakota, USA on four plots treated with three concentrations of fipronil in FipBits (0.68, 0.71, and 0.83 mg/FipBit). Fleas were essentially eliminated for 10 mo on the 0.83-mg plot and were substantially reduced on the two 0.71-mg plots. Fleas were reduced on the 0.68-mg plot, but the degree of control was less than observed on other treated plots. Impacts of plague on PDs and BFFs would probably be greatly reduced by the levels of flea control observed with FipBits. Options for expanded FipBit evaluations are being pursued for what may become a highly practical, affordable, and effective plague mitigation tool.

","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/JWD-D-22-00008","usgsCitation":"Matchett, M.R., Eads, D.A., Cordova, J., Livieri, T., Hicks, H., and Biggins, D.E., 2023, Flea control on prairie dogs (Cynomys spp.) with fipronil bait pellets: Potential plague mitigation tool for rapid field application and wildlife conservation: Journal of Wildlife Diseases, v. 59, no. 1, p. 71-83, https://doi.org/10.7589/JWD-D-22-00008.","productDescription":"13 p.","startPage":"71","endPage":"83","ipdsId":"IP-137291","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":444971,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7589/jwd-d-22-00008","text":"Publisher Index Page"},{"id":435524,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PJUWC2","text":"USGS data release","linkHelpText":"Data on flea control using FipBit fipronil bait pellets with black-tailed prairie dogs, South Dakota, 2020-2021"},{"id":419298,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Montana, South Dakota","otherGeospatial":"Buffalo Gap National Grassland, Charles M. Russell National Wildlife Refuge, Double O Ranch","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -102.19,\n 43.55\n ],\n [\n -102.19,\n 43.4167\n ],\n [\n -102,\n 43.4167\n ],\n [\n -102,\n 43.55\n ],\n [\n -102.19,\n 43.55\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -113,\n 35.6\n ],\n [\n -112.95,\n 35.6\n ],\n [\n -112.95,\n 35.67\n ],\n [\n -113,\n 35.67\n ],\n [\n -113,\n 35.6\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -107.84,\n 47.6333\n ],\n [\n -107.84,\n 47.6167\n ],\n [\n -107.816,\n 47.6167\n ],\n [\n -107.816,\n 47.6333\n ],\n [\n -107.84,\n 47.6333\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"59","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Matchett, Marc R.","contributorId":193409,"corporation":false,"usgs":false,"family":"Matchett","given":"Marc","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":879037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eads, David A. 0000-0002-4247-017X deads@usgs.gov","orcid":"https://orcid.org/0000-0002-4247-017X","contributorId":173639,"corporation":false,"usgs":true,"family":"Eads","given":"David","email":"deads@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":879038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cordova, Jennifer","contributorId":73496,"corporation":false,"usgs":false,"family":"Cordova","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":879039,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Livieri, Travis","contributorId":279912,"corporation":false,"usgs":false,"family":"Livieri","given":"Travis","affiliations":[{"id":6753,"text":"Prairie Wildlife Research","active":true,"usgs":false}],"preferred":false,"id":879040,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hicks, Holly","contributorId":317301,"corporation":false,"usgs":false,"family":"Hicks","given":"Holly","email":"","affiliations":[{"id":12922,"text":"Arizona Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":879041,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Biggins, Dean E. 0000-0003-2078-671X bigginsd@usgs.gov","orcid":"https://orcid.org/0000-0003-2078-671X","contributorId":2522,"corporation":false,"usgs":true,"family":"Biggins","given":"Dean","email":"bigginsd@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":879042,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70239173,"text":"70239173 - 2023 - Near real-time detection of winter cover crop termination using harmonized Landsat and Sentinel-2 (HLS) to support ecosystem assessment","interactions":[],"lastModifiedDate":"2023-01-02T19:07:29.676936","indexId":"70239173","displayToPublicDate":"2023-01-02T13:01:54","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9346,"text":"Science of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Near real-time detection of winter cover crop termination using harmonized Landsat and Sentinel-2 (HLS) to support ecosystem assessment","docAbstract":"

Cover crops are planted to reduce soil erosion, increase soil fertility, and improve watershed management. In the Delmarva Peninsula of the eastern United States, winter cover crops are essential for reducing nutrient and sediment losses from farmland. Cost-share programs have been created to incentivize cover crops to achieve conservation objectives. This program required that cover crops be planted and terminated within a specified time window. Usually, farmers report cover crop termination dates for each enrolled field (∼28,000 per year), and conservation district staff confirm the report with field visits within two weeks of termination. This verification process is labor-intensive and time-consuming and became restricted in 2020–2021 due to the COVID-19 pandemic. This study used Harmonized Landsat and Sentinel-2 (HLS, version 2.0) time-series data and the within-season termination (WIST) algorithm to detect cover crop termination dates over Maryland and the Delmarva Peninsula. The estimated remote sensing termination dates were compared to roadside surveys and to farmer-reported termination dates from the Maryland Department of Agriculture database for the 2020–2021 cover crop season. The results show that the WIST algorithm using HLS detected 94% of terminations (statuses) for the enrolled fields (n = 28,190). Among the detected terminations, about 49%, 72%, 84%, and 90% of remote sensing detected termination dates were within one, two, three, and four weeks of agreement to farmer-reported dates, respectively. A real-time simulation showed that the termination dates could be detected one week after termination operation using routinely available HLS data, and termination dates detected after mid-May are more reliable than those from early spring when the Normalized Difference Vegetation Index (NDVI) was low. We conclude that HLS imagery and the WIST algorithm provide a fast and consistent approach for generating near-real-time cover crop termination maps over large areas, which can be used to support cost-share program verification.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.srs.2022.100073","usgsCitation":"Gao, F., Jennewein, J., Hively, W.D., Soroka, A.M., Thieme, A., Bradley, D., Keppler, J., Mirsky, S., and Akumaga, U., 2023, Near real-time detection of winter cover crop termination using harmonized Landsat and Sentinel-2 (HLS) to support ecosystem assessment: Science of Remote Sensing, v. 7, 100073, 14 p., https://doi.org/10.1016/j.srs.2022.100073.","productDescription":"100073, 14 p.","ipdsId":"IP-144149","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":444975,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.srs.2022.100073","text":"Publisher Index Page"},{"id":411274,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Chesapeake Bay, Delmarva Peninsula","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.069544467364,\n 37.94756618819288\n ],\n [\n -75.94812876408099,\n 37.94131461385136\n ],\n [\n -75.95701283993044,\n 37.899264516752396\n ],\n [\n -75.79709947463141,\n 37.901601263962206\n ],\n [\n -75.75564045399823,\n 37.94131461385136\n ],\n [\n -75.6993746402825,\n 37.950655814583385\n ],\n [\n -75.64014746794955,\n 37.94131461385136\n ],\n [\n -75.61053388178237,\n 37.99734400246169\n ],\n [\n -75.22555726161829,\n 38.02534265907727\n ],\n [\n -75.08341204801894,\n 38.27684897319932\n ],\n [\n -75.0389916687707,\n 38.447926991945224\n ],\n [\n -75.69049056443372,\n 38.45952234969701\n ],\n [\n -75.78229268154962,\n 39.723597608598226\n ],\n [\n -75.88594023313227,\n 39.71676420384449\n ],\n [\n -76.03993088119832,\n 39.44058615652014\n ],\n [\n -76.16430794309719,\n 39.36507397284154\n ],\n [\n -76.30053043946273,\n 39.1839704250678\n ],\n [\n -76.3390281014787,\n 39.046110820719235\n ],\n [\n -76.4219461427451,\n 38.850348316275074\n ],\n [\n -76.36568032902868,\n 38.47343431903974\n ],\n [\n -76.069544467364,\n 37.94756618819288\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"7","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gao, Feng 0000-0002-1865-2846","orcid":"https://orcid.org/0000-0002-1865-2846","contributorId":70671,"corporation":false,"usgs":false,"family":"Gao","given":"Feng","email":"","affiliations":[{"id":6622,"text":"US Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":860675,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jennewein, Jyoti","contributorId":243442,"corporation":false,"usgs":false,"family":"Jennewein","given":"Jyoti","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":860676,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hively, W. 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Watersheds of the Great Lakes Basin (USA/Canada) are highly modified and impacted by human activities including pesticide use. Despite labeling restrictions intended to minimize risks to nontarget organisms, concerns remain that environmental exposures to pesticides may be occurring at levels negatively impacting nontarget organisms. We used a combination of organismal-level toxicity estimates (in vivo aquatic life benchmarks) and data from high-throughput screening (HTS) assays (in vitro benchmarks) to prioritize pesticides and sites of concern in streams at 16 tributaries to the Great Lakes Basin. In vivo or in vitro benchmark values were exceeded at 15 sites, 10 of which had exceedances throughout the year. Pesticides had the greatest potential biological impact at the site with the greatest proportion of agricultural land use in its basin (the Maumee River, Toledo, OH, USA), with 72 parent compounds or transformation products being detected, 47 of which exceeded at least one benchmark value. Our risk-based screening approach identified multiple pesticide parent compounds of concern in tributaries of the Great Lakes; these compounds included: eight herbicides (metolachlor, acetochlor, 2,4-dichlorophenoxyacetic acid, diuron, atrazine, alachlor, triclopyr, and simazine), three fungicides (chlorothalonil, propiconazole, and carbendazim), and four insecticides (diazinon, fipronil, imidacloprid, and clothianidin). We present methods for reducing the volume and complexity of potential biological effects data that result from combining contaminant surveillance with HTS (in vitro) and traditional (in vivo) toxicity estimates. Environ Toxicol Chem 2022;00:1–18. Published 2022. This article is a U.S. Government work and is in the public domain in the USA. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.

","language":"English","publisher":"Wiley","doi":"10.1002/etc.5522","usgsCitation":"Oliver, S.K., Corsi, S., Baldwin, A.K., Nott, M.A., Ankley, G., Blackwell, B., Villeneuve, D.L., Hladik, M.L., Kolpin, D., Loken, L.C., DeCicco, L.A., Meyer, M., and Loftin, K.A., 2023, Pesticide prioritization by potential biological effects in tributaries of the Laurentian Great Lakes: Environmental Toxicology and Chemistry, v. 42, no. 2, p. 367-384, https://doi.org/10.1002/etc.5522.","productDescription":"18 p.","startPage":"367","endPage":"384","ipdsId":"IP-137314","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":445058,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.5522","text":"Publisher Index Page"},{"id":411338,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Great Lakes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.41831603390857,\n 49.80549590740878\n ],\n [\n -91.41831603390857,\n 41.07851415036595\n ],\n [\n -74.90189273325733,\n 41.07851415036595\n ],\n [\n -74.90189273325733,\n 49.80549590740878\n ],\n [\n -91.41831603390857,\n 49.80549590740878\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"42","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-02-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Oliver, Samantha K. 0000-0001-5668-1165","orcid":"https://orcid.org/0000-0001-5668-1165","contributorId":211886,"corporation":false,"usgs":true,"family":"Oliver","given":"Samantha","email":"","middleInitial":"K.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":860748,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Corsi, Steven R. 0000-0003-0583-5536 srcorsi@usgs.gov","orcid":"https://orcid.org/0000-0003-0583-5536","contributorId":172002,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven R.","email":"srcorsi@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":860749,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baldwin, Austin K. 0000-0002-6027-3823 akbaldwi@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3823","contributorId":4515,"corporation":false,"usgs":true,"family":"Baldwin","given":"Austin","email":"akbaldwi@usgs.gov","middleInitial":"K.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":860750,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nott, Michelle A. 0000-0003-3968-7586","orcid":"https://orcid.org/0000-0003-3968-7586","contributorId":221766,"corporation":false,"usgs":true,"family":"Nott","given":"Michelle","email":"","middleInitial":"A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":860751,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ankley, Gerald T.","contributorId":177970,"corporation":false,"usgs":false,"family":"Ankley","given":"Gerald 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0000-0003-3194-1498 lloken@usgs.gov","orcid":"https://orcid.org/0000-0003-3194-1498","contributorId":195600,"corporation":false,"usgs":true,"family":"Loken","given":"Luke","email":"lloken@usgs.gov","middleInitial":"C.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":860757,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"DeCicco, Laura A. 0000-0002-3915-9487 ldecicco@usgs.gov","orcid":"https://orcid.org/0000-0002-3915-9487","contributorId":174716,"corporation":false,"usgs":true,"family":"DeCicco","given":"Laura","email":"ldecicco@usgs.gov","middleInitial":"A.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":true,"id":860758,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Meyer, Michael T. 0000-0001-6006-7985","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":205665,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":860759,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Loftin, Keith A. 0000-0001-5291-876X","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":221964,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":860760,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70239141,"text":"70239141 - 2023 - Sharing land via keystone structure: Retaining naturally regenerated trees may efficiently benefit birds in plantations","interactions":[],"lastModifiedDate":"2023-04-11T16:56:36.003705","indexId":"70239141","displayToPublicDate":"2022-12-22T07:02:43","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Sharing land via keystone structure: Retaining naturally regenerated trees may efficiently benefit birds in plantations","docAbstract":"

Meeting food/wood demands with increasing human population and per-capita consumption is a pressing conservation issue, and is often framed as a choice between land sparing and land sharing. Although most empirical studies comparing the efficacy of land sparing and sharing supported land sparing, land sharing may be more efficient if its performance is tested by rigorous experimental design and habitat structures providing crucial resources for various species––keystone structures––are clearly involved. We launched a manipulative experiment to retain naturally regenerated broad-leaved trees when harvesting conifer plantations in central Hokkaido, northern Japan. We surveyed birds in harvested treatments, unharvested plantation controls and natural forest references one-year before the harvest and for three consecutive post-harvest years. We developed a hierarchical community model separating abundance and space-use (territorial proportion overlapping treatment plots) subject to imperfect detection to assess population consequences of retention harvesting. Application of the model to our data showed that retaining some broad-leaved trees increased total abundance of forest birds over the harvest rotation cycle. Specifically, pre-harvest survey showed that the amount of broad-leaved trees increased forest bird abundance in a concave manner (i.e., in a form of diminishing-return). After harvesting, a small amount of retained broad-leaved trees mitigated negative harvesting impacts on abundance though retention harvesting reduced the space-use. Nevertheless, positive retention effects on the post-harvest bird density as the product of abundance and space-use exhibited a concave form. Thus, small profit reductions were shown to yield large increases in forest bird abundance. The difference in bird abundance between clear-cutting and low amounts of broad-leaved tree retention increased slightly from the first to second post-harvesting years. We conclude that retaining a small amount of broad-leaved trees may be a cost-effective on-site conservation approach for the management of conifer plantations. Retention of 20-30 broad-leaved trees per ha may be sufficient to maintain higher forest bird abundance than clear-cutting over the rotation cycle. Retention approaches can be incorporated into management systems using certification schemes and best management practices. Developing an awareness of the roles and values of naturally regenerated trees is needed to diversify plantations.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2802","usgsCitation":"Yamaura, Y., Unno, A., and Royle, A., 2023, Sharing land via keystone structure: Retaining naturally regenerated trees may efficiently benefit birds in plantations: Ecological Applications, v. 33, no. 3, e2802, https://doi.org/10.1002/eap.2802.","productDescription":"e2802","ipdsId":"IP-136595","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":445068,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":411174,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-02-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Yamaura, Yuichi","contributorId":300495,"corporation":false,"usgs":false,"family":"Yamaura","given":"Yuichi","affiliations":[{"id":65171,"text":"Shikoku Research Center, Forestry and Forest Products Research Institute","active":true,"usgs":false}],"preferred":false,"id":860324,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Unno, Akira","contributorId":300496,"corporation":false,"usgs":false,"family":"Unno","given":"Akira","email":"","affiliations":[{"id":65172,"text":"Fores try Research Institute, Hokkaido Research Organization, Koshunai, Bibai,","active":true,"usgs":false}],"preferred":false,"id":860325,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":860326,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70242008,"text":"70242008 - 2023 - A genetic warning system for a hierarchically structured wildlife monitoring framework","interactions":[],"lastModifiedDate":"2023-04-04T12:00:53.306947","indexId":"70242008","displayToPublicDate":"2022-12-22T06:53:20","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"A genetic warning system for a hierarchically structured wildlife monitoring framework","docAbstract":"

Genetic variation is a well-known indicator of population fitness yet is not typically included in monitoring programs for sensitive species. Additionally, most programs monitor populations at one scale, which can lead to potential mismatches with ecological processes critical to species' conservation. Recently developed methods generating hierarchically nested population units (i.e., clusters of varying scales) for greater sage-grouse (Centrocercus urophasianus) have identified population trend declines across spatiotemporal scales to help managers target areas for conservation. The same clusters used as a proxy for spatial scale can alert managers to local units (i.e., neighborhood-scale) with low genetic diversity, further facilitating identification of management targets. We developed a genetic warning system utilizing previously developed hierarchical population units to identify management-relevant areas with low genetic diversity within the greater sage-grouse range. Within this warning system we characterized conservation concern thresholds based on values of genetic diversity and developed a statistical model for microsatellite data to robustly estimate these values for hierarchically nested populations. We found that 41 of 224 neighborhood-scale clusters had low genetic diversity, 23 of which were coupled with documented local population trend decline. We also found evidence of cross-scale low genetic diversity in the small and isolated Washington population, unlikely to be reversed through typical local management actions alone. The combination of low genetic diversity and a declining population suggests relatively high conservation concern. Our findings could further facilitate conservation action prioritization in combination with population trend assessments and (or) local information, and act as a base-line of genetic diversity for future comparison. Importantly, the approach we used is broadly applicable across taxa.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2787","usgsCitation":"Zimmerman, S.J., Aldridge, C.L., O’Donnell, M.S., Edmunds, D.R., Coates, P.S., Prochazka, B.G., Fike, J., Cross, T.B., Fedy, B.C., and Oyler-McCance, S.J., 2023, A genetic warning system for a hierarchically structured wildlife monitoring framework: Ecological Applications, v. 33, no. 3, e2787, 18 p., https://doi.org/10.1002/eap.2787.","productDescription":"e2787, 18 p.","ipdsId":"IP-133541","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":445071,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.2787","text":"Publisher Index Page"},{"id":435536,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FATNI9","text":"USGS data release","linkHelpText":"Greater sage-grouse genetic warning system, western United States (ver 1.1, January 2023)"},{"id":435535,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98Q5F6R","text":"USGS data release","linkHelpText":"Genotypes and cluster definitions for a range-wide greater sage-grouse dataset collected 2005-2017 (ver 1.1, January 2023)"},{"id":415157,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -102.07344624886372,\n 49.512419389230956\n ],\n [\n -125.31052090062897,\n 49.512419389230956\n ],\n [\n -125.31052090062897,\n 35.5228832956214\n ],\n [\n -102.07344624886372,\n 35.5228832956214\n ],\n [\n -102.07344624886372,\n 49.512419389230956\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n 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Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":868516,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Prochazka, Brian G. 0000-0001-7270-5550 bprochazka@usgs.gov","orcid":"https://orcid.org/0000-0001-7270-5550","contributorId":174839,"corporation":false,"usgs":true,"family":"Prochazka","given":"Brian","email":"bprochazka@usgs.gov","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":868518,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fike, Jennifer A. 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quasispecies concept had two independent origins. One source was the theoretical ideas of Manfred Eigen and Peter Schuster in the 1970s. Studying the self-organization and evolution of primitive RNA molecules, they defined quasispecies as a distribution of mutant viral genomes generated by the mutation-selection process. In particular, the quasispecies nucleotide distribution consists of a singular fittest genotype, called the master sequence, surrounded by similar mutant spectra. The other source of the quasispecies concept can be traced to the growing empirical knowledge on RNA viruses formulated around the same time. Genomic sequencing of viral RNA indicated a variety of nucleotide sequences, or a distribution of sequences. Mutations in both Eigen’s theoretical system in the RNA viruses are not rare, as RNA is structurally less stable than RNA, but common, preventing the fittest genotype from becoming dominant. Virologists have adopted the quasispecies concept, with some papers on Covid-19 using the construct to explain that virus’s behavior.","language":"English","publisher":"Elsevier","doi":"10.1016/j.mbs.2022.108951","usgsCitation":"DeAngelis, D., 2023, Book review: Quasispecies as a unifying concept in population dynamics: Mathematical Biosciences, v. 355, 108951, 1 p., https://doi.org/10.1016/j.mbs.2022.108951.","productDescription":"108951, 1 p.","ipdsId":"IP-146569","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":419000,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"355","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"DeAngelis, Don 0000-0002-1570-4057","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":221357,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Don","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":878042,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70260117,"text":"70260117 - 2023 - Lava-ice interactions during historical eruptions of Veniaminof Volcano, Alaska and the potential for meltwater floods and lahars","interactions":[],"lastModifiedDate":"2024-10-30T22:04:32.679399","indexId":"70260117","displayToPublicDate":"2022-12-16T10:06:20","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"Lava-ice interactions during historical eruptions of Veniaminof Volcano, Alaska and the potential for meltwater floods and lahars","docAbstract":"

Veniaminof Volcano on the Alaska Peninsula of southwest Alaska is one of a small group of ice-clad volcanoes globally that erupts lava flows in the presence of glacier ice. Here, we describe the nature of lava-ice-snow interactions that have occurred during historical eruptions of the volcano since 1944. Lava flows with total volumes on the order of 0.006 km3 have been erupted in 1983–1984, 1993–1994, 2013, and 2018. Smaller amounts of lava (1 × 10−4 km3 or less) were generated during eruptions in 1944 and 2021. All known historical eruptions have occurred at a 300-m-high cinder cone (informally named cone A) within the 8 × 10-km-diameter ice-filled caldera that characterizes Veniaminof Volcano. Supraglacial lava flows erupted at cone A, resulted in minor amounts of melting and did not lead to any significant outflows of water in nearby drainages. Subglacial effusion of lava in 1983–1984, 2021 and possibly in 1944 and 1993–1994 resulted in more significant melting including a partially water-filled melt pit, about 0.8 km2 in area, that developed during the 1983–1984 eruption. The 1983–1984 event created an impression that meltwater floods from Mount Veniaminof’s ice-filled caldera could be significant and hazardous given the large amount of glacier ice resident within the caldera (ice volume about 8 km3). To date, no evidence supporting catastrophic outflow of meltwater from lava-ice interactions at cone A has been found. Analysis of imagery from the 1983–1984 eruption shows that the initial phase erupted englacial lavas that melted ice/snow/firn from below, producing surface subsidence outward from the cone with no discernable surface connection to the summit vent on cone A. This also happened during the 2021 eruption, and possibly during the 1993–1994 eruption although meltwater lakes did not form during these events. Thus, historical eruptions at Veniaminof Volcano appear to have two different modes of effusive eruptive behavior, where lava reaches the ice subglacially from flank vents, or where lava flows are erupted subaerially from vents near the summit of cone A and flow down the cone on to the ice surface. When placed in the context of global lava-ice eruptions, in cases where lava flows melt the ice from the surface downward, the main hazards are from localized phreatic explosions as opposed to potential flood/lahar hazards. However, when lava effusion/emplacement occurs beneath the ice surface, melting is more rapid and can produce lakes whose drainage could plausibly produce localized floods and lahars.

","language":"English","publisher":"Springer","doi":"10.1007/s11069-022-05523-4","usgsCitation":"Waythomas, C.F., Edwards, B.R., Miller, T.P., and McGimsey, R.G., 2023, Lava-ice interactions during historical eruptions of Veniaminof Volcano, Alaska and the potential for meltwater floods and lahars: Natural Hazards, v. 115, p. 73-106, https://doi.org/10.1007/s11069-022-05523-4.","productDescription":"34 p.","startPage":"73","endPage":"106","ipdsId":"IP-135174","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467131,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11069-022-05523-4","text":"Publisher Index Page"},{"id":463345,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Veniaminof Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -159.5358525511267,\n 56.27834441063078\n ],\n [\n -159.5358525511267,\n 56.05302637076889\n ],\n [\n -159.12370600367657,\n 56.05302637076889\n ],\n [\n -159.12370600367657,\n 56.27834441063078\n ],\n [\n -159.5358525511267,\n 56.27834441063078\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"115","noUsgsAuthors":false,"publicationDate":"2022-12-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Waythomas, Christopher F. 0000-0002-3898-272X cwaythomas@usgs.gov","orcid":"https://orcid.org/0000-0002-3898-272X","contributorId":640,"corporation":false,"usgs":true,"family":"Waythomas","given":"Christopher","email":"cwaythomas@usgs.gov","middleInitial":"F.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edwards, Benjamin R","contributorId":345586,"corporation":false,"usgs":false,"family":"Edwards","given":"Benjamin","email":"","middleInitial":"R","affiliations":[{"id":39028,"text":"Dickinson College","active":true,"usgs":false}],"preferred":false,"id":917056,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Thomas P","contributorId":345587,"corporation":false,"usgs":false,"family":"Miller","given":"Thomas","email":"","middleInitial":"P","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":917057,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McGimsey, Robert G. 0000-0001-5379-7779 mcgimsey@usgs.gov","orcid":"https://orcid.org/0000-0001-5379-7779","contributorId":2352,"corporation":false,"usgs":true,"family":"McGimsey","given":"Robert","email":"mcgimsey@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917058,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70242754,"text":"70242754 - 2023 - Disentangling direct and indirect effects of extreme events on coastal wetland communities","interactions":[],"lastModifiedDate":"2023-06-09T15:16:53.249242","indexId":"70242754","displayToPublicDate":"2022-12-16T06:56:32","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Disentangling direct and indirect effects of extreme events on coastal wetland communities","docAbstract":"
  1. One of the primary ways in which climate change will impact coastal freshwater wetlands is through changes in the frequency, intensity, timing and distribution of extreme weather events. Disentangling the direct and indirect mechanisms of population- and community-level responses to extreme events is vital to predicting how species composition of coastal wetlands will change under future conditions.
  2. We extended static structural equation modelling approaches to incorporate system dynamics in a multi-year multispecies occupancy model to quantify the effects of extreme weather events on a coastal freshwater wetland system.
  3. We used data from an 8-year study (2009–2016) on St. Marks National Wildlife Refuge in Florida, USA, to quantify species-specific and community-level changes in amphibian and fish occupancy associated with two flooding events in 2012 and 2013. We examine how physical changes to the landscape, including potential changes in salinity and increased wetland connectivity, may have contributed to or exacerbated the effects of these extreme weather events on the biota of isolated coastal wetlands.
  4. We provide evidence that the primary effects of flooding on the amphibian community were through indirect mechanisms via changes in the composition of the sympatric fish community that may have had lethal (i.e. through direct predation) or non-lethal (i.e. through direct or indirect competitive interactions) effects. In addition, we have shown that amphibian species differed in their sensitivity to direct flooding effects and indirect changes in the fish community and wetland-specific conductance, which led to variable responses across the community. These effects led to the overall decline in amphibian species richness from 2009 to 2016, suggesting that wetland-breeding amphibian communities on St. Marks National Wildlife Refuge may not be resilient to predicted changes in coastal disturbance regimes because of climate change.
  5. Understanding both direct and indirect effects, as well as species interactions, is important for predicting the effects of a changing climate on individual species, communities and ecosystems.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.13874","collaboration":"Pennsylvania State University","usgsCitation":"Davis, C.L., Walls, S.E., Barichivich, W.J., Brown, M., and Miller, D., 2023, Disentangling direct and indirect effects of extreme events on coastal wetland communities: Journal of Animal Ecology, v. 92, no. 6, 14 p.; Data Release, https://doi.org/10.1111/1365-2656.13874.","productDescription":"14 p.; Data Release","ipdsId":"IP-142600","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":445105,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2656.13874","text":"Publisher Index Page"},{"id":415845,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417811,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9N4YYCQ","linkFileType":{"id":5,"text":"html"}}],"volume":"92","issue":"6","noUsgsAuthors":false,"publicationDate":"2022-12-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Davis, Courtney L.","contributorId":181922,"corporation":false,"usgs":false,"family":"Davis","given":"Courtney","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":869703,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walls, Susan E. 0000-0001-7391-9155","orcid":"https://orcid.org/0000-0001-7391-9155","contributorId":209862,"corporation":false,"usgs":true,"family":"Walls","given":"Susan","middleInitial":"E.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":869704,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barichivich, William J. 0000-0003-1103-6861","orcid":"https://orcid.org/0000-0003-1103-6861","contributorId":216371,"corporation":false,"usgs":true,"family":"Barichivich","given":"William","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":869705,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Mary 0000-0002-5580-137X","orcid":"https://orcid.org/0000-0002-5580-137X","contributorId":207007,"corporation":false,"usgs":true,"family":"Brown","given":"Mary","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":869706,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, David A.W.","contributorId":198461,"corporation":false,"usgs":false,"family":"Miller","given":"David A.W.","affiliations":[],"preferred":false,"id":869707,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70239397,"text":"70239397 - 2023 - A complex record of last interglacial sea-level history and paleozoogeography, Santa Rosa Island, Channel Islands National Park, California, USA","interactions":[],"lastModifiedDate":"2023-01-12T12:37:33.310098","indexId":"70239397","displayToPublicDate":"2022-12-14T06:33:43","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"A complex record of last interglacial sea-level history and paleozoogeography, Santa Rosa Island, Channel Islands National Park, California, USA","docAbstract":"

Studies of marine terraces and their fossils can yield important information about sea level history, tectonic uplift rates, and paleozoogeography, but some aspects of terrace history, particularly with regard to their fossil record, are not clearly understood. Marine terraces are well preserved on Santa Rosa Island, California, and the island is situated near a major marine faunal boundary. Two prominent low-elevation terraces record the ∼80 ka (marine isotope stage [MIS] 5a) and ∼120 ka (MIS 5e) high-sea stands, based on U-series dating of fossil corals and aminostratigraphic correlation to dated localities elsewhere in California and Baja California. Low uplift rates are implied by an interpretation of these ages, along with their elevations. The fossil assemblage from the ∼120 ka (2nd) terrace contains a number of northern, cool-water species, along with several southern, warm-water species, a classic example of what has been called a thermally anomalous fauna. Low uplift rates in the late Pleistocene, combined with glacial isostatic adjustment (GIA) processes, could have resulted in reoccupation of the ∼120 ka (MIS 5e), 2nd terrace during the ∼100 ka (MIS 5c) high-sea stand, explaining the mix of warm-water (∼120 ka?) and cool-water (∼100 ka?) fossils in the terrace deposits. In addition, however, sea surface temperature (SST) variability during MIS 5e may have been a contributing factor, given that Santa Rosa Island is bathed at times by the cold California Current with its upwelling and at other times is subject to El Niño warm waters, evident in the Holocene SST record. Study of an older, high-elevation marine terrace on the western part of Santa Rosa Island shows more obvious evidence of fossil mixing. Strontium isotope ages span a large range, from ∼2.3 Ma to ∼0.91 Ma. These analyses indicate an age range of ∼500 ka at one locality and ∼ 600 ka at another locality, interpreted to be due to terrace reoccupation and fossil reworking. Consideration of elevations and ages here also yield low, long-term uplift rates, which in part explains the potential for terrace reoccupation in the early Pleistocene. In addition, however, early Pleistocene glacial-interglacial cycles were of much shorter duration, linked to the ∼41 ka obliquity cycle of orbital forcing, a factor that would also enhance terrace reoccupation in regions of low uplift rate. It is likely that other Pacific Coast marine terrace localities of early Pleistocene age, in areas with low uplift rates, also have evidence of fossil mixing from these processes, an hypothesis that can be tested in future studies.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.palaeo.2022.111328","usgsCitation":"Muhs, D.R., Groves, L.T., Simmons, K., Schumann, R.R., and Minor, S., 2023, A complex record of last interglacial sea-level history and paleozoogeography, Santa Rosa Island, Channel Islands National Park, California, USA: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 610, 111328, 49 p., https://doi.org/10.1016/j.palaeo.2022.111328.","productDescription":"111328, 49 p.","ipdsId":"IP-133924","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":445121,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.palaeo.2022.111328","text":"Publisher Index Page"},{"id":435544,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KDKAB9","text":"USGS data release","linkHelpText":"Uranium and Strontium geochronology data for marine terraces on Santa Rosa Island, Channel Islands National Park, California, USA"},{"id":411776,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Rosa Island, Channel Islands National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.57868154549,\n 34.27881054345606\n ],\n [\n -120.57868154549,\n 33.60662427128061\n ],\n [\n -119.45384167480762,\n 33.60662427128061\n ],\n [\n -119.45384167480762,\n 34.27881054345606\n ],\n [\n -120.57868154549,\n 34.27881054345606\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"610","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":1857,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel","email":"dmuhs@usgs.gov","middleInitial":"R.","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":true,"id":861445,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Groves, Lindsey T.","contributorId":213427,"corporation":false,"usgs":false,"family":"Groves","given":"Lindsey","email":"","middleInitial":"T.","affiliations":[{"id":12725,"text":"Natural History Museum of Los Angeles County","active":true,"usgs":false}],"preferred":false,"id":861446,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simmons, Kathleen R. 0000-0002-7920-094X","orcid":"https://orcid.org/0000-0002-7920-094X","contributorId":229460,"corporation":false,"usgs":false,"family":"Simmons","given":"Kathleen R.","affiliations":[{"id":12608,"text":"USGS, retired","active":true,"usgs":false}],"preferred":false,"id":861447,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schumann, R. Randall 0000-0001-8158-6960 rschumann@usgs.gov","orcid":"https://orcid.org/0000-0001-8158-6960","contributorId":1569,"corporation":false,"usgs":true,"family":"Schumann","given":"R.","email":"rschumann@usgs.gov","middleInitial":"Randall","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":861448,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Minor, Scott A.","contributorId":300796,"corporation":false,"usgs":false,"family":"Minor","given":"Scott A.","affiliations":[{"id":12545,"text":"USGS retired","active":true,"usgs":false}],"preferred":false,"id":861449,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70240712,"text":"70240712 - 2023 - SPCIS: Standardized Plant Community with Introduced Status database","interactions":[],"lastModifiedDate":"2023-03-15T15:09:31.476445","indexId":"70240712","displayToPublicDate":"2022-12-09T06:48:38","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"SPCIS: Standardized Plant Community with Introduced Status database","docAbstract":"

The movement of plant species across the globe exposes native communities to new species introductions. While introductions are pervasive, two aspects of variability underlie patterns and processes of biological invasions at macroecological scales. First, only a portion of introduced species become invaders capable of substantially impacting ecosystems. Second, species that do become invasive at one location may not be invasive in others; impacts depend on invader abundance and recipient species and conditions. Accounting for these phenomena is essential to accurately understand the patterns of plant invasion and explain the idiosyncratic results reflected in the literature on biological invasions. The lack of community-level richness and the abundance of data spanning broad scales and environmental conditions have until now hindered our understanding of invasions at a macroecological scale. To address this limitation, we leveraged quantitative surveys of plant communities in the USA and integrated and harmonized nine datasets into the Standardized Plant Community with Introduced Status (SPCIS) database. The database contains 14,056 unique taxa identified within 83,391 sampling units, of which 52.6% have at least one introduced species. The SPCIS database includes comparable information on plant species occurrence, abundance, and native status across the 50 U.S. States and Puerto Rico. SPCIS can be used to answer macro-scale questions about native plant communities and interactions with invasive plants. There are no copyright restrictions on the data, and we ask the users of this dataset to cite this paper, the respective paper(s) corresponding to the dataset sampling design (all references are provided in Data S1: Metadata S1: Class II-B-2), and the references described in Data S1: Metadata S1: Class III-B-4 as applicable to the dataset being utilized.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.3947","usgsCitation":"Petri, L., Beaury, E.M., Corbin, J., Peach, K., Sofaer, H., Pearse, I.S., Early, R., Barnett, D., Ibáñez, I., Peet, R.K., Schafale, M., Wentworth, T., Vanderhorst, J., Zaya, D.N., Spyreas, G., and Bradley, B., 2023, SPCIS: Standardized Plant Community with Introduced Status database: Ecology, v. 104, no. 3, e3947, 2 p., https://doi.org/10.1002/ecy.3947.","productDescription":"e3947, 2 p.","ipdsId":"IP-143316","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":445142,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.3947","text":"Publisher Index Page"},{"id":413126,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"104","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-01-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Petri, Lais","contributorId":302405,"corporation":false,"usgs":false,"family":"Petri","given":"Lais","email":"","affiliations":[{"id":65469,"text":"U Michigan","active":true,"usgs":false}],"preferred":false,"id":864385,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beaury, Evelyn M.","contributorId":236820,"corporation":false,"usgs":false,"family":"Beaury","given":"Evelyn","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":864386,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Corbin, Jeff","contributorId":302406,"corporation":false,"usgs":false,"family":"Corbin","given":"Jeff","email":"","affiliations":[{"id":65470,"text":"Union College","active":true,"usgs":false}],"preferred":false,"id":864387,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peach, Kristen","contributorId":302407,"corporation":false,"usgs":false,"family":"Peach","given":"Kristen","email":"","affiliations":[{"id":28104,"text":"NCEAS","active":true,"usgs":false}],"preferred":false,"id":864388,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sofaer, Helen 0000-0002-9450-5223","orcid":"https://orcid.org/0000-0002-9450-5223","contributorId":216681,"corporation":false,"usgs":true,"family":"Sofaer","given":"Helen","email":"","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":864389,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pearse, Ian S. 0000-0001-7098-0495","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":216680,"corporation":false,"usgs":true,"family":"Pearse","given":"Ian","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":864390,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Early, Reagan","contributorId":302408,"corporation":false,"usgs":false,"family":"Early","given":"Reagan","email":"","affiliations":[{"id":65471,"text":"U Exeter Penryn","active":true,"usgs":false}],"preferred":false,"id":864391,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Barnett, Dave","contributorId":302409,"corporation":false,"usgs":false,"family":"Barnett","given":"Dave","email":"","affiliations":[{"id":65472,"text":"Battelle - NEON","active":true,"usgs":false}],"preferred":false,"id":864392,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ibáñez, Inés","contributorId":236768,"corporation":false,"usgs":false,"family":"Ibáñez","given":"Inés","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":864443,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Peet, Robert K.","contributorId":12711,"corporation":false,"usgs":false,"family":"Peet","given":"Robert","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":864393,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Schafale, Michael","contributorId":302410,"corporation":false,"usgs":false,"family":"Schafale","given":"Michael","email":"","affiliations":[{"id":65473,"text":"NC Heritage Program","active":true,"usgs":false}],"preferred":false,"id":864394,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Wentworth, Thomas","contributorId":302411,"corporation":false,"usgs":false,"family":"Wentworth","given":"Thomas","email":"","affiliations":[{"id":48956,"text":"North Carolina State","active":true,"usgs":false}],"preferred":false,"id":864395,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Vanderhorst, James","contributorId":302412,"corporation":false,"usgs":false,"family":"Vanderhorst","given":"James","email":"","affiliations":[{"id":56173,"text":"West Virginia DNR","active":true,"usgs":false}],"preferred":false,"id":864396,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Zaya, David N.","contributorId":150864,"corporation":false,"usgs":false,"family":"Zaya","given":"David","email":"","middleInitial":"N.","affiliations":[{"id":18125,"text":"University of Illinois, Chicago","active":true,"usgs":false}],"preferred":false,"id":864397,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Spyreas, Greg","contributorId":196310,"corporation":false,"usgs":false,"family":"Spyreas","given":"Greg","affiliations":[],"preferred":false,"id":864398,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Bradley, Bethany A. 0000-0003-4912-4971","orcid":"https://orcid.org/0000-0003-4912-4971","contributorId":299998,"corporation":false,"usgs":true,"family":"Bradley","given":"Bethany A.","affiliations":[{"id":64995,"text":"University of Massachusetts, Northeast Climate Adaptation Science Center","active":true,"usgs":false}],"preferred":false,"id":864399,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70238996,"text":"70238996 - 2023 - Microbial source tracking and land use associations for antibiotic resistance genes in private wells influenced by human and livestock fecal sources","interactions":[],"lastModifiedDate":"2023-03-24T16:24:31.873247","indexId":"70238996","displayToPublicDate":"2022-12-08T07:43:06","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2262,"text":"Journal of Environmental Quality","active":true,"publicationSubtype":{"id":10}},"title":"Microbial source tracking and land use associations for antibiotic resistance genes in private wells influenced by human and livestock fecal sources","docAbstract":"

Antimicrobial resistance is a growing public health problem that requires an integrated approach among human, agricultural, and environmental sectors. However, few studies address all three components simultaneously. We investigated the occurrence of five antibiotic resistance genes (ARGs) and the class 1 integron gene (intI1) in private wells drawing water from a vulnerable aquifer influenced by residential septic systems and land-applied dairy manure. Samples (n = 138) were collected across four seasons from a randomized sample of private wells in Kewaunee County, Wisconsin. Measurements of ARGs and intI1 were related to microbial source tracking (MST) markers specific to human and bovine feces; they were also related to 54 risk factors for contamination representing land use, rainfall, hydrogeology, and well construction. ARGs and intI1 occurred in 5–40% of samples depending on target. Detection frequencies for ARGs and intI1 were lowest in the absence of human and bovine MST markers (1-30%), highest when co-occurring with human and bovine markers together (11-78%), and intermediate when co-occurring with just one type of MST marker (4-46%). Gene targets were associated with septic system density more often than agricultural land, potentially because of the variable presence of manure on the landscape. Determining ARG prevalence in a rural setting with mixed land use allowed an assessment of the relative contribution of human and bovine fecal sources. Because fecal sources co-occurred with ARGs at similar rates, interventions intended to reduce ARG occurrence may be most effective if both sources are considered.

","language":"English","publisher":"Soil Science Society of America, Crop Science Society of America, American Society of Agronomy","doi":"10.1002/jeq2.20443","usgsCitation":"Burch, T., Stokdyk, J.P., Firnstahl, A.D., Kieke Jr., B., Cook, R.M., Opelt, S., Spencer, S., Durso, L., and Borchardt, M.A., 2023, Microbial source tracking and land use associations for antibiotic resistance genes in private wells influenced by human and livestock fecal sources: Journal of Environmental Quality, v. 52, no. 2, p. 270-286, https://doi.org/10.1002/jeq2.20443.","productDescription":"17 p.","startPage":"270","endPage":"286","ipdsId":"IP-145436","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":445147,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jeq2.20443","text":"Publisher Index Page"},{"id":410792,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","county":"Kewaunee County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-87.3761,44.6754],[-87.3774,44.674],[-87.381,44.6636],[-87.3858,44.6545],[-87.3911,44.6473],[-87.3944,44.6442],[-87.3966,44.6378],[-87.4045,44.6302],[-87.4085,44.6257],[-87.4137,44.6235],[-87.4223,44.6145],[-87.4263,44.61],[-87.4341,44.6056],[-87.442,44.6011],[-87.4428,44.5934],[-87.4468,44.5893],[-87.4502,44.5816],[-87.4544,44.5721],[-87.4604,44.5622],[-87.4664,44.555],[-87.4738,44.5455],[-87.476,44.5369],[-87.4761,44.5305],[-87.4796,44.5223],[-87.4851,44.5106],[-87.488,44.4974],[-87.4959,44.4706],[-87.5046,44.4575],[-87.5041,44.4534],[-87.5062,44.4457],[-87.5064,44.4375],[-87.5074,44.4279],[-87.5121,44.4188],[-87.5163,44.408],[-87.5191,44.3998],[-87.5212,44.3907],[-87.5209,44.3816],[-87.5218,44.3734],[-87.5232,44.3688],[-87.5279,44.3602],[-87.5351,44.3521],[-87.5386,44.3422],[-87.5368,44.338],[-87.5408,44.3331],[-87.5454,44.3277],[-87.6445,44.3273],[-87.7665,44.3271],[-87.7655,44.4146],[-87.7646,44.5017],[-87.7643,44.5888],[-87.7628,44.6477],[-87.7582,44.6522],[-87.7555,44.6558],[-87.7547,44.6608],[-87.7507,44.6667],[-87.7435,44.673],[-87.7389,44.6775],[-87.6413,44.6757],[-87.5193,44.6753],[-87.4384,44.6754],[-87.3973,44.6753],[-87.3761,44.6754]]]},\"properties\":{\"name\":\"Kewaunee\",\"state\":\"WI\"}}]}","volume":"52","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Burch, Tucker R.","contributorId":195801,"corporation":false,"usgs":false,"family":"Burch","given":"Tucker R.","affiliations":[],"preferred":false,"id":859560,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stokdyk, Joel P. 0000-0003-2887-6277 jstokdyk@usgs.gov","orcid":"https://orcid.org/0000-0003-2887-6277","contributorId":193848,"corporation":false,"usgs":true,"family":"Stokdyk","given":"Joel","email":"jstokdyk@usgs.gov","middleInitial":"P.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":859561,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Firnstahl, Aaron D. 0000-0003-2686-7596 afirnstahl@usgs.gov","orcid":"https://orcid.org/0000-0003-2686-7596","contributorId":168296,"corporation":false,"usgs":true,"family":"Firnstahl","given":"Aaron","email":"afirnstahl@usgs.gov","middleInitial":"D.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":859562,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kieke Jr., Burney","contributorId":300166,"corporation":false,"usgs":false,"family":"Kieke Jr.","given":"Burney","affiliations":[],"preferred":false,"id":859563,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cook, Rachel M.","contributorId":300167,"corporation":false,"usgs":false,"family":"Cook","given":"Rachel","middleInitial":"M.","affiliations":[],"preferred":false,"id":859564,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Opelt, Sarah A.","contributorId":300168,"corporation":false,"usgs":false,"family":"Opelt","given":"Sarah","middleInitial":"A.","affiliations":[],"preferred":false,"id":859565,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Spencer, Sue","contributorId":291418,"corporation":false,"usgs":false,"family":"Spencer","given":"Sue","email":"","affiliations":[],"preferred":false,"id":859566,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Durso, Lisa","contributorId":300169,"corporation":false,"usgs":false,"family":"Durso","given":"Lisa","email":"","affiliations":[],"preferred":false,"id":859568,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Borchardt, Mark A. 0000-0002-6471-2627","orcid":"https://orcid.org/0000-0002-6471-2627","contributorId":151033,"corporation":false,"usgs":false,"family":"Borchardt","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":859567,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70238973,"text":"70238973 - 2023 - Assessment of resource potential from mine tailings using geostatistical modeling for compositions: A methodology and application to Katherine Mine site, Arizona, USA","interactions":[],"lastModifiedDate":"2022-12-20T12:49:04.741255","indexId":"70238973","displayToPublicDate":"2022-12-02T06:37:23","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2302,"text":"Journal of Geochemical Exploration","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of resource potential from mine tailings using geostatistical modeling for compositions: A methodology and application to Katherine Mine site, Arizona, USA","docAbstract":"

The mining industry, in most cases, targets a specific valuable commodity that is present in small quantities within large volumes of extracted material. After milling and processing, most of the extracted material and the effluents are stored as waste (tailings) in impoundments, such as dams or waste dumps, or are backfilled into underground mines. In time, tailing materials may become an issue of environmental and health concern due to the hazardous elements, ions, and oxides contained within the waste material. In addition, handling and storage of such waste in dams may pose the risk of dam failure with catastrophic consequences to nature and nearby communities. On the other hand, tailings may offer potential as secondary sources of critical elements (CEs), including rare earth elements (REEs), which may have been overlooked during primary production and processing. Therefore, treating mine tailings as a resource has economic and environmental benefits by reducing the waste from new and historical mine sites through remining. One of the critical steps for taking advantage of these benefits is to spatially quantify the resources and the pollutants, which require the application of adequate data analysis and modeling methods, often to compositional geochemical data. Utilizing adequate methods is especially important for correctly quantifying resource potential, as the quantities will often be at low concentrations.

This work presents quantification of resource potential (Au, Ag, Cu, Zn, Pb) and elements of environmental concern (Hg and As) from the tailings of a historic mine site, Katherine Mine, AZ, USA. Data reported by the U.S. Bureau of Mines (USBM) after extensive field campaigns in the 1990s, including sampling from tailing impoundment and surrounding areas for geochemical characterization and geophysical surveys, were used. First, compositional data (CoDa) analysis was employed to explore associations of sampling locations, geochemical parts, and the clustering of samples. Next, sequential Gaussian simulation (SGSIM) was applied to samples that showed a genetic link to tailing material after isometric log-ratio transformation (ilr) and mix/max autocorrelation factor (MAF) transformation for spatial modeling and uncertainty evaluation. Geostatistical results revealed spatial variability of concentrations within the tailing area. Uncertainty evaluation based on realizations indicated that Cu (14.27–20.01 t), Zn (44.23–76.23 t), and Pb (22.56–38.28 t) are the most abundant elements within a 5 %–95 % interval, followed by Ag and Au (~5.3 and 0.18 t, at 50th percentile), respectively. Of the elements of health concern, As was found to be ~4.8 t (50th percentile) in the tailing area. The work also showed that ~0.51 t As, 0.005 t Hg, 0.020 t of Au, and 0.62 t of Ag were carried to Lake Mohave by an ephemeral stream called Katherine Wash, which transects the tailings.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.gexplo.2022.107142","usgsCitation":"Karacan, C.O., Erten, O., and Martin-Fernandez, J.A., 2023, Assessment of resource potential from mine tailings using geostatistical modeling for compositions: A methodology and application to Katherine Mine site, Arizona, USA: Journal of Geochemical Exploration, v. 245, 107142, 23 p., https://doi.org/10.1016/j.gexplo.2022.107142.","productDescription":"107142, 23 p.","ipdsId":"IP-142163","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":410781,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Katherine Mine site","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.66102965470434,\n 35.592576061702815\n ],\n [\n -114.66102965470434,\n 35.179363749635115\n ],\n [\n -114.1226599998257,\n 35.179363749635115\n ],\n [\n -114.1226599998257,\n 35.592576061702815\n ],\n [\n -114.66102965470434,\n 35.592576061702815\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"245","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Karacan, C. Ozgen 0000-0002-0947-8241","orcid":"https://orcid.org/0000-0002-0947-8241","contributorId":201991,"corporation":false,"usgs":true,"family":"Karacan","given":"C.","email":"","middleInitial":"Ozgen","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":859489,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erten, Oktay","contributorId":300145,"corporation":false,"usgs":false,"family":"Erten","given":"Oktay","email":"","affiliations":[],"preferred":false,"id":859490,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin-Fernandez, Josep Antoni","contributorId":300146,"corporation":false,"usgs":false,"family":"Martin-Fernandez","given":"Josep","email":"","middleInitial":"Antoni","affiliations":[],"preferred":false,"id":859491,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70239059,"text":"70239059 - 2023 - Bioavailability of dissolved organic matter varies with anthropogenic landcover in the Upper Mississippi River Basin","interactions":[],"lastModifiedDate":"2022-12-22T12:44:51.457844","indexId":"70239059","displayToPublicDate":"2022-11-28T06:42:04","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Bioavailability of dissolved organic matter varies with anthropogenic landcover in the Upper Mississippi River Basin","docAbstract":"

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

","language":"English","publisher":"Elsevier","doi":"10.1016/j.watres.2022.119357","usgsCitation":"Vaughn, D.R., Kellerman, A.M., Wickland, K., Striegl, R.G., Podgorski, D.C., Hawkings, J.R., Nienhuis, J.H., Dornblaser, M.M., Stets, E.G., and Spencer, R., 2023, Bioavailability of dissolved organic matter varies with anthropogenic landcover in the Upper Mississippi River Basin: Water Research, v. 229, 119357, 11 p., https://doi.org/10.1016/j.watres.2022.119357.","productDescription":"119357, 11 p.","ipdsId":"IP-146292","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":445199,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.watres.2022.119357","text":"Publisher Index Page"},{"id":410921,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, Iowa, North Dakota, South Dakota, Wisconsin","otherGeospatial":"Upper Mississippi River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -97.54014310622625,\n 47.81267654671956\n ],\n [\n -97.54014310622625,\n 43.006254798709676\n ],\n [\n -90.11653795247621,\n 43.006254798709676\n ],\n [\n -90.11653795247621,\n 47.81267654671956\n ],\n [\n -97.54014310622625,\n 47.81267654671956\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"229","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Vaughn, Derrick R.","contributorId":267313,"corporation":false,"usgs":false,"family":"Vaughn","given":"Derrick","email":"","middleInitial":"R.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":859867,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kellerman, Anne M.","contributorId":204172,"corporation":false,"usgs":false,"family":"Kellerman","given":"Anne","email":"","middleInitial":"M.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":859868,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wickland, Kimberly 0000-0002-6400-0590","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":208471,"corporation":false,"usgs":true,"family":"Wickland","given":"Kimberly","affiliations":[{"id":5044,"text":"National Research Program - 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