The International Union of Geological Sciences Executive Committee (IUGS EC) voted on 13 October 2021 to ratify a proposal for the Neogene subseries/subepochs to have formal status. They are now incorporated into a sixtiered chronostratigraphic hierarchy within the International Chronostratigraphic Chart (ICC). The Lower/Early Miocene Subseries/Subepoch comprises the Aquitanian and Burdigalian stages/ages, the Middle Miocene Subseries/Subepoch comprises the Langhian and Serravallian stages/ages, the Upper/Late Miocene Subseries/Subepoch comprises the Tortonian and Messinian stages/ages, the Lower/Early Pliocene Subseries/Subepoch comprises the Zanclean Stage/Age and the Upper/Late Pliocene Subseries/Subepoch comprises the Piacenzian Stage/Age. This ratification is an important move towards both a common language in the wider Earth Sciences community and a step forward in the unification of Cenozoic chronostratigraphy, with Neogene and Quaternary subseries/subepochs now formalized.
The lack of consistent, accurate information on evapotranspiration (ET) and consumptive use of water by irrigated agriculture is one of the most important data gaps for water managers in the western United States (U.S.) and other arid agricultural regions globally. The ability to easily access information on ET is central to improving water budgets across the West, advancing the use of data-driven irrigation management strategies, and expanding incentive-driven conservation programs. Recent advances in remote sensing of ET have led to the development of multiple approaches for field-scale ET mapping that have been used for local and regional water resource management applications by U.S. state and federal agencies. The OpenET project is a community-driven effort that is building upon these advances to develop an operational system for generating and distributing ET data at a field scale using an ensemble of six well-established satellite-based approaches for mapping ET. Key objectives of OpenET include: Increasing access to remotely sensed ET data through a web-based data explorer and data services; supporting the use of ET data for a range of water resource management applications; and development of use cases and training resources for agricultural producers and water resource managers. Here we describe the OpenET framework, including the models used in the ensemble, the satellite, meteorological, and ancillary data inputs to the system, and the OpenET data visualization and access tools. We also summarize an extensive intercomparison and accuracy assessment conducted using ground measurements of ET from 139 flux tower sites instrumented with open path eddy covariance systems. Results calculated for 24 cropland sites from Phase I of the intercomparison and accuracy assessment demonstrate strong agreement between the satellite-driven ET models and the flux tower ET data. For the six models that have been evaluated to date (ALEXI/DisALEXI, eeMETRIC, geeSEBAL, PT-JPL, SIMS, and SSEBop) and the ensemble mean, the weighted average mean absolute error (MAE) values across all sites range from 13.6 to 21.6 mm/month at a monthly timestep, and 0.74 to 1.07 mm/day at a daily timestep. At seasonal time scales, for all but one of the models the weighted mean total ET is within ±8% of both the ensemble mean and the weighted mean total ET calculated from the flux tower data. Overall, the ensemble mean performs as well as any individual model across nearly all accuracy statistics for croplands, though some individual models may perform better for specific sites and regions. We conclude with three brief use cases to illustrate current applications and benefits of increased access to ET data, and discuss key lessons learned from the development of OpenET.
Understanding the ecology of endangered taxa and the factors affecting their population growth and decline is imperative for their recovery. In the southeastern USA, the Everglades wetland ecosystem supports a high diversity of species and communities, including many endemic and imperiled taxa, such as the federally endangered Cape Sable seaside sparrow Ammospiza maritima mirabilis (CSSS). The Everglades, once a completely connected wetland with a slow-moving sheet flow of water, is now compartmentalized into separated wetland units where water distribution is managed year-round. The CSSS is affected by, and at the crux of, many Everglades ecosystem restoration decisions. The CSSS faces conservation challenges, including limited habitat availability, low population numbers, dispersal limitations, and constraints on suitable breeding conditions owing to wetland water levels. Despite these challenges, ecological knowledge of the factors affecting CSSS population numbers in the context of ongoing ecosystem-level restoration can help inform protection of this bird while restoring the Everglades. Existing research shows target hydroperiods between 90 and 210 days, a minimum of 90 consecutive dry days during the breeding season, and non-breeding season fires approximately every 5-10 years may aid in CSSS recovery. There are numerous tools and models to support habitat and water management for the CSSS, and the most recent ecosystem-level water operations plan for the Everglades indicates potential for increased CSSS habitat. Here, we provide a review on the ecology of the CSSS, factors affecting population decline, and ecosystem-level restoration actions that may aid in CSSS recovery.
","language":"English","publisher":"Inter-Research","doi":"10.3354/esr01212","usgsCitation":"Benscoter, A., and Romanach, S., 2022, Endangered Cape Sable seaside sparrow ecology: Actions towards recovery through landscape-scale ecosystem restoration: Endangered Species Research, v. 49, p. 199-215, https://doi.org/10.3354/esr01212.","productDescription":"17 p.","startPage":"199","endPage":"215","ipdsId":"IP-138298","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":445757,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr01212","text":"Publisher Index Page"},{"id":410150,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Dlorida","otherGeospatial":"Everglades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.00201430502638,\n 26.691780992327622\n ],\n [\n -82.00201430502638,\n 24.87241063952405\n ],\n [\n -80.13513135216013,\n 24.87241063952405\n ],\n [\n -80.13513135216013,\n 26.691780992327622\n ],\n [\n -82.00201430502638,\n 26.691780992327622\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"49","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Benscoter, Allison 0000-0003-4205-3808","orcid":"https://orcid.org/0000-0003-4205-3808","contributorId":216194,"corporation":false,"usgs":true,"family":"Benscoter","given":"Allison","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":858457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Romanach, Stephanie 0000-0003-0271-7825","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":220761,"corporation":false,"usgs":true,"family":"Romanach","given":"Stephanie","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":858458,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70238765,"text":"70238765 - 2022 - A case study: Temporal trends of environmental stressors and reproductive health of smallmouth bass (Micropterus dolomieu) from a site in the Potomac River Watershed, Maryland, USA","interactions":[],"lastModifiedDate":"2022-12-09T13:18:59.076223","indexId":"70238765","displayToPublicDate":"2022-12-01T06:37:18","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"A case study: Temporal trends of environmental stressors and reproductive health of smallmouth bass (Micropterus dolomieu) from a site in the Potomac River Watershed, Maryland, USA","title":"A case study: Temporal trends of environmental stressors and reproductive health of smallmouth bass (Micropterus dolomieu) from a site in the Potomac River Watershed, Maryland, USA","docAbstract":"Decades of poor reproductive success and young-of-the-year survival, combined with adult mortality events, have led to a decline in the smallmouth bass (SMB; Micropterus dolomieu) population in sections of the Potomac River. Previous studies have identified numerous biologic and environmental stressors associated with negative effects on SMB health. To better understand the impact of these stressors, this study was conducted at the confluence of Antietam Creek and the Potomac River from 2013 to 2019 to identify temporal changes associated with SMB reproductive health. Surface water samples were collected and analyzed for over 300 organic contaminants, including pesticides, phytoestrogens, pharmaceuticals, hormones and total estrogenicity (E2Eq). Adult SMB were collected and sampled for multiple endpoints, including gene transcripts associated with reproduction (molecular), histopathology (cellular), and organosomatic indices (tissue). In males, biomarkers of estrogenic endocrine disruption, including testicular oocytes (TO) and plasma vitellogenin (Vtg) were assessed. Numerous agriculture-related contaminants or land use patterns were associated with gene transcript abundance in both male and female SMB. Positive associations between pesticides in the immediate catchment with TO severity and E2Eq with plasma Vtg in males were identified. In males, the prevalence of TO and detectable levels of plasma Vtg, liver vitellogenin transcripts (vtg) and testis vtg were high throughout the study. Peaks of complex mixtures of numerous contaminants occurred during the spring/early summer when spawning and early development occurs and to a lesser extent in fall/winter during recrudescence. Management practices to reduce exposure during these critical and sensitive periods may enhance reproductive health of these economically important sportfishes.
Walleye, Sander vitreus (Mitchill), natural recruitment has declined in northern Wisconsin lakes over time. Age-0 and age-1 walleye relative abundance (catch per unit effort; CPE) data from northern Wisconsin (1986–2019) were used to test for abiotic (i.e. lake characteristics and temperature variables) and biotic (age-0 and age-1 CPE) factors influencing age-0 to age-1 walleye mortality. Age-0 to age-1 walleye mortality was elevated at high age-0 CPE and variable at low age-0 CPE, which indicated strong density-dependence. Environmental factors such as spawning and ontogenetic phenology (climate change and ice-off dates), trophic mismatches, and metabolic and consumptive demand influenced age-0 to age-1 walleye mortality less strongly. Elevated age-0 to age-1 walleye mortality at low age-0 CPE supports previous findings of depensatory recruitment dynamics in northern Wisconsin walleye populations. Additional research is needed to address elevated juvenile walleye mortality at low adult stock sizes and/or with declining natural recruitment to inform management decisions.
","language":"English","publisher":"Wiley","doi":"10.1111/fme.12591","usgsCitation":"Zebro, L., Mrnak, J., Shaw, S., Chipps, S.R., and Sass, G., 2022, Density-dependent and environmental influences on juvenile walleye Sander vitreus (Mitchill) survivorship in northern Wisconsin lakes: Fisheries Management and Ecology, v. 29, no. 6, p. 897-910, https://doi.org/10.1111/fme.12591.","productDescription":"14 p.","startPage":"897","endPage":"910","ipdsId":"IP-138597","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":480732,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-90.403306,47.026693],[-90.411972,47.014958],[-90.425351,47.007526],[-90.464079,46.994636],[-90.465465,47.002593],[-90.457688,47.012484],[-90.4553,47.02375],[-90.455502,47.051331],[-90.449572,47.064965],[-90.438734,47.072557],[-90.417272,47.07757],[-90.395367,47.077175],[-90.393342,47.066204],[-90.403306,47.026693]]],[[[-90.730883,46.873096],[-90.677989,46.897527],[-90.667776,46.890037],[-90.675239,46.881029],[-90.718547,46.864531],[-90.745356,46.83566],[-90.756052,46.830595],[-90.760991,46.838277],[-90.749816,46.861806],[-90.730883,46.873096]]],[[[-90.764857,46.946524],[-90.741417,46.9636],[-90.71511,46.957332],[-90.694487,46.93671],[-90.689302,46.918563],[-90.737107,46.914712],[-90.764857,46.946524]]],[[[-90.568938,46.847391],[-90.58505,46.839789],[-90.613569,46.837958],[-90.673838,46.819684],[-90.683356,46.813275],[-90.685753,46.805003],[-90.652916,46.797755],[-90.65892,46.7885],[-90.696465,46.78204],[-90.716456,46.785418],[-90.7625,46.755547],[-90.787751,46.753301],[-90.783086,46.772939],[-90.790965,46.781373],[-90.790231,46.786103],[-90.733231,46.800183],[-90.720932,46.815897],[-90.656946,46.843476],[-90.622048,46.872872],[-90.602619,46.872715],[-90.568938,46.847391]]],[[[-90.572383,46.958835],[-90.528182,46.968396],[-90.508157,46.956836],[-90.524018,46.935714],[-90.539947,46.92785],[-90.543852,46.918289],[-90.549104,46.915461],[-90.569169,46.920309],[-90.637124,46.906724],[-90.64412,46.908373],[-90.654796,46.919249],[-90.634507,46.942944],[-90.572383,46.958835]]],[[[-87.335299,45.211327],[-87.331962,45.199251],[-87.33622,45.173174],[-87.327284,45.157363],[-87.376777,45.177298],[-87.375403,45.199296],[-87.335299,45.211327]]],[[[-90.962901,46.962028],[-90.980316,46.971578],[-90.98222,46.985417],[-90.949383,46.991208],[-90.939866,47.001321],[-90.928563,47.000726],[-90.923764,46.987928],[-90.932132,46.962655],[-90.962901,46.962028]]],[[[-90.757147,47.03372],[-90.688544,47.043347],[-90.643623,47.041177],[-90.608824,47.007558],[-90.560936,47.037013],[-90.544875,47.017383],[-90.552867,46.999686],[-90.609715,46.991208],[-90.634105,46.970983],[-90.671581,46.948973],[-90.712032,46.98526],[-90.767985,47.002327],[-90.776921,47.024324],[-90.757147,47.03372]]],[[[-87.405658,44.860098],[-87.384821,44.865532],[-87.385396,44.889964],[-87.406199,44.90449],[-87.393752,44.933751],[-87.374805,44.956631],[-87.360288,44.987643],[-87.322117,45.034201],[-87.264877,45.081361],[-87.257449,45.121644],[-87.240813,45.137559],[-87.242924,45.149377],[-87.238426,45.166492],[-87.224065,45.174551],[-87.21437,45.165735],[-87.195876,45.163201],[-87.17517,45.173],[-87.163169,45.185331],[-87.13303,45.192843],[-87.119972,45.191103],[-87.122708,45.221786],[-87.109541,45.255397],[-87.078316,45.265723],[-87.071035,45.280355],[-87.057627,45.292838],[-87.0517,45.285888],[-87.043895,45.284767],[-87.017036,45.299254],[-86.994112,45.298061],[-86.97778,45.290684],[-86.970355,45.278455],[-86.984938,45.259036],[-86.983066,45.250764],[-86.973287,45.246381],[-86.985973,45.215872],[-87.002806,45.211773],[-87.00754,45.222127],[-87.032521,45.222274],[-87.040909,45.211535],[-87.045242,45.158798],[-87.030225,45.147382],[-87.03292,45.141963],[-87.045748,45.134987],[-87.054282,45.120074],[-87.049346,45.110122],[-87.048213,45.089124],[-87.057415,45.087472],[-87.064864,45.078427],[-87.079552,45.070783],[-87.081866,45.059103],[-87.090849,45.055465],[-87.121156,45.058311],[-87.139384,45.012565],[-87.163477,45.004913],[-87.189134,44.969078],[-87.188399,44.94856],[-87.17524,44.939753],[-87.1717,44.931476],[-87.204238,44.916819],[-87.215808,44.906744],[-87.217171,44.898013],[-87.206285,44.885928],[-87.204815,44.877199],[-87.267061,44.847025],[-87.282561,44.814729],[-87.304824,44.804603],[-87.313363,44.794237],[-87.320397,44.784963],[-87.319903,44.769672],[-87.353789,44.701915],[-87.401629,44.631191],[-87.437751,44.604559],[-87.467089,44.553557],[-87.483696,44.511354],[-87.490024,44.477224],[-87.498662,44.460686],[-87.506362,44.423804],[-87.517965,44.394356],[-87.517597,44.375696],[-87.533583,44.351111],[-87.545382,44.321385],[-87.541382,44.294018],[-87.508457,44.229755],[-87.507419,44.210803],[-87.512903,44.192808],[-87.51966,44.17987],[-87.53994,44.15969],[-87.563181,44.144195],[-87.603572,44.13039],[-87.6458,44.105222],[-87.654935,44.082552],[-87.656062,44.051919],[-87.683361,44.020139],[-87.695053,43.990715],[-87.69892,43.965936],[-87.71817,43.939498],[-87.735436,43.882219],[-87.728698,43.852524],[-87.726408,43.810454],[-87.700251,43.76735],[-87.702985,43.749695],[-87.709885,43.735795],[-87.702685,43.687596],[-87.789105,43.564844],[-87.797608,43.52731],[-87.793239,43.492783],[-87.807799,43.461136],[-87.855608,43.405441],[-87.872504,43.380178],[-87.882392,43.352099],[-87.889207,43.307652],[-87.901847,43.284117],[-87.911787,43.250406],[-87.896286,43.197108],[-87.881085,43.170609],[-87.900285,43.13731],[-87.900496,43.126],[-87.893185,43.114011],[-87.876084,43.099011],[-87.866487,43.074419],[-87.870184,43.064412],[-87.894813,43.042497],[-87.898184,43.030689],[-87.896157,43.017486],[-87.887789,43.000715],[-87.857182,42.978015],[-87.845181,42.962015],[-87.842786,42.944865],[-87.847745,42.889595],[-87.824,42.836649],[-87.766675,42.784896],[-87.781949,42.74857],[-87.778824,42.728432],[-87.783489,42.705164],[-87.802377,42.676651],[-87.814674,42.64402],[-87.819407,42.617327],[-87.819374,42.60662],[-87.810873,42.58732],[-87.812273,42.52982],[-87.800477,42.49192],[-88.115285,42.496219],[-88.786681,42.491983],[-89.690088,42.505191],[-90.640927,42.508302],[-90.636727,42.518702],[-90.645627,42.5441],[-90.654127,42.5499],[-90.661527,42.567999],[-90.685487,42.589614],[-90.693999,42.614509],[-90.709204,42.636078],[-90.769495,42.651443],[-90.88743,42.67247],[-90.921155,42.685406],[-90.949213,42.685573],[-90.977735,42.696816],[-91.000128,42.716189],[-91.026786,42.724228],[-91.035418,42.73734],[-91.053733,42.738238],[-91.056297,42.747341],[-91.065783,42.753387],[-91.060261,42.761847],[-91.069549,42.769628],[-91.078097,42.806526],[-91.078665,42.827678],[-91.09406,42.830813],[-91.091402,42.84986],[-91.097656,42.859871],[-91.100565,42.883078],[-91.115512,42.894672],[-91.14556,42.90798],[-91.144315,42.926592],[-91.149784,42.940244],[-91.14655,42.963345],[-91.156562,42.978226],[-91.15749,42.991475],[-91.174692,43.038713],[-91.179457,43.067427],[-91.175193,43.103771],[-91.177932,43.128875],[-91.175253,43.134665],[-91.1562,43.142945],[-91.1462,43.152405],[-91.12217,43.197255],[-91.066398,43.239293],[-91.059684,43.248566],[-91.058644,43.257679],[-91.072649,43.262129],[-91.07371,43.274746],[-91.107237,43.313645],[-91.137343,43.329757],[-91.181115,43.345926],[-91.201847,43.349103],[-91.21477,43.365874],[-91.19767,43.395334],[-91.203144,43.419805],[-91.22875,43.445537],[-91.233367,43.455168],[-91.216035,43.481142],[-91.217353,43.512474],[-91.232941,43.523967],[-91.243183,43.540309],[-91.24382,43.54913],[-91.232812,43.564842],[-91.231865,43.581822],[-91.268748,43.615348],[-91.268457,43.627352],[-91.262397,43.64176],[-91.270767,43.65308],[-91.273252,43.666623],[-91.268455,43.709824],[-91.255932,43.729849],[-91.255431,43.744876],[-91.243955,43.773046],[-91.262436,43.792166],[-91.277695,43.837741],[-91.284138,43.847065],[-91.310991,43.867381],[-91.320605,43.888491],[-91.338141,43.897664],[-91.346271,43.910074],[-91.356741,43.916564],[-91.366642,43.937463],[-91.385785,43.954239],[-91.406011,43.963929],[-91.43738,43.999962],[-91.463515,44.009041],[-91.478498,44.00803],[-91.507121,44.01898],[-91.580019,44.026925],[-91.59207,44.031372],[-91.610487,44.04931],[-91.638115,44.063285],[-91.647873,44.064109],[-91.667006,44.086964],[-91.68153,44.0974],[-91.707491,44.103906],[-91.710597,44.12048],[-91.721552,44.130342],[-91.751747,44.134786],[-91.774486,44.147539],[-91.808064,44.159262],[-91.817302,44.164235],[-91.829167,44.17835],[-91.875158,44.200575],[-91.877429,44.212921],[-91.892698,44.231105],[-91.88704,44.251772],[-91.896008,44.262871],[-91.895652,44.273008],[-91.924613,44.291815],[-91.913534,44.311392],[-91.918625,44.322671],[-91.92559,44.333548],[-91.941311,44.340978],[-91.9636,44.362112],[-92.038147,44.388731],[-92.056486,44.402729],[-92.078605,44.404869],[-92.111085,44.413948],[-92.124513,44.422115],[-92.195378,44.433792],[-92.232472,44.445434],[-92.291005,44.485464],[-92.302215,44.500298],[-92.302466,44.516487],[-92.314071,44.538014],[-92.336114,44.554004],[-92.361518,44.558935],[-92.399281,44.558292],[-92.431101,44.565786],[-92.455105,44.561886],[-92.481001,44.568276],[-92.493808,44.566063],[-92.518358,44.575183],[-92.54806,44.567792],[-92.55151,44.571607],[-92.549777,44.58113],[-92.569434,44.603539],[-92.577148,44.605054],[-92.584711,44.599861],[-92.601516,44.612052],[-92.621456,44.615017],[-92.619779,44.634195],[-92.632105,44.649027],[-92.660988,44.660884],[-92.700948,44.693751],[-92.737259,44.717155],[-92.787906,44.737432],[-92.807317,44.750364],[-92.805287,44.768361],[-92.785206,44.792303],[-92.78043,44.812589],[-92.766102,44.834966],[-92.76909,44.861997],[-92.764133,44.875905],[-92.773946,44.889997],[-92.774571,44.898084],[-92.758701,44.908979],[-92.750645,44.937299],[-92.754603,44.955767],[-92.769445,44.97215],[-92.771231,45.001378],[-92.76206,45.02432],[-92.770362,45.033803],[-92.793282,45.047178],[-92.803079,45.060978],[-92.800851,45.069477],[-92.791528,45.079647],[-92.746749,45.107051],[-92.739528,45.116515],[-92.745694,45.123112],[-92.757707,45.155466],[-92.752542,45.171772],[-92.764872,45.182812],[-92.767408,45.190166],[-92.763908,45.204866],[-92.751708,45.218666],[-92.760249,45.2496],[-92.751659,45.26591],[-92.760615,45.278827],[-92.761013,45.289028],[-92.737122,45.300459],[-92.709968,45.321302],[-92.698967,45.336374],[-92.703705,45.35633],[-92.679193,45.37271],[-92.669505,45.389111],[-92.650422,45.398507],[-92.646602,45.441635],[-92.652698,45.454527],[-92.680234,45.464344],[-92.702224,45.493046],[-92.726677,45.514462],[-92.726082,45.541112],[-92.770223,45.566939],[-92.785741,45.567888],[-92.823309,45.560934],[-92.871082,45.567581],[-92.883749,45.575483],[-92.886442,45.598679],[-92.882529,45.610216],[-92.888035,45.624959],[-92.887929,45.639006],[-92.875488,45.689014],[-92.870145,45.696757],[-92.869193,45.717568],[-92.809837,45.744172],[-92.784621,45.764196],[-92.776496,45.790014],[-92.757815,45.806574],[-92.765146,45.830183],[-92.739991,45.846283],[-92.734039,45.868108],[-92.712503,45.891705],[-92.676607,45.90637],[-92.676807,45.91093],[-92.659549,45.922937],[-92.639116,45.924555],[-92.640115,45.932478],[-92.636316,45.934634],[-92.614314,45.934529],[-92.60246,45.940815],[-92.551933,45.951651],[-92.549806,45.967986],[-92.527052,45.983245],[-92.469354,45.973811],[-92.46126,45.979427],[-92.464512,45.985038],[-92.453373,45.992913],[-92.442259,46.016177],[-92.428555,46.024241],[-92.410649,46.027259],[-92.372717,46.014198],[-92.35176,46.015685],[-92.344244,46.02743],[-92.343604,46.040917],[-92.332912,46.062697],[-92.294033,46.074377],[-92.292192,46.666042],[-92.287392,46.667342],[-92.286192,46.660342],[-92.274392,46.657441],[-92.270592,46.650741],[-92.256592,46.658741],[-92.242493,46.649241],[-92.228492,46.652941],[-92.216392,46.649841],[-92.207092,46.651941],[-92.202292,46.655041],[-92.204092,46.666941],[-92.176091,46.686341],[-92.183091,46.695241],[-92.198491,46.696141],[-92.205192,46.698341],[-92.205692,46.702541],[-92.189091,46.717541],[-92.167291,46.719941],[-92.146291,46.71594],[-92.141291,46.72524],[-92.14329,46.73464],[-92.13789,46.73954],[-92.108777,46.749105],[-92.08949,46.74924],[-92.03399,46.708939],[-92.020289,46.704039],[-92.007989,46.705039],[-91.961889,46.682539],[-91.942988,46.679939],[-91.886963,46.690211],[-91.820027,46.690176],[-91.790473,46.694624],[-91.74965,46.709129],[-91.646146,46.734575],[-91.590684,46.754331],[-91.511077,46.757453],[-91.489125,46.766997],[-91.44957,46.773252],[-91.411799,46.78964],[-91.369387,46.793745],[-91.33825,46.817704],[-91.315061,46.826729],[-91.256873,46.836833],[-91.226796,46.86361],[-91.207524,46.865835],[-91.200107,46.854017],[-91.178292,46.844259],[-91.168297,46.844727],[-91.140301,46.873105],[-91.133337,46.870341],[-91.134977,46.859023],[-91.107323,46.857469],[-91.096565,46.86153],[-91.090916,46.88267],[-91.080951,46.883609],[-91.069331,46.878772],[-91.052991,46.881325],[-91.03989,46.88923],[-91.034518,46.903053],[-91.019141,46.911502],[-90.995149,46.917577],[-90.968419,46.94391],[-90.92204,46.931372],[-90.914044,46.933346],[-90.908654,46.941221],[-90.880358,46.957661],[-90.855874,46.962232],[-90.838814,46.957728],[-90.786595,46.927019],[-90.75563,46.899247],[-90.751151,46.887863],[-90.77017,46.876296],[-90.798545,46.823922],[-90.825696,46.803858],[-90.835008,46.790366],[-90.854916,46.788952],[-90.863542,46.780565],[-90.859724,46.774433],[-90.862333,46.768135],[-90.885021,46.756341],[-90.870396,46.723293],[-90.853225,46.70028],[-90.853644,46.694464],[-90.870079,46.679449],[-90.914619,46.659054],[-90.924487,46.625417],[-90.93831,46.608768],[-90.951418,46.600774],[-90.942101,46.588573],[-90.906058,46.58343],[-90.873154,46.601223],[-90.794775,46.624941],[-90.770192,46.636127],[-90.755381,46.646225],[-90.756495,46.664591],[-90.74809,46.669817],[-90.73726,46.692267],[-90.627885,46.623839],[-90.558141,46.586384],[-90.538346,46.581182],[-90.505909,46.589614],[-90.437596,46.561492],[-90.418136,46.566094],[-90.39332,46.532615],[-90.369964,46.540549],[-90.350121,46.537337],[-90.344338,46.552087],[-90.331887,46.553278],[-90.326686,46.54615],[-90.320428,46.546287],[-90.310859,46.539365],[-90.316983,46.517319],[-90.285707,46.518846],[-90.277131,46.524487],[-90.272599,46.521127],[-90.274721,46.515416],[-90.270684,46.508237],[-90.263018,46.502777],[-90.231587,46.509842],[-90.230324,46.501732],[-90.216594,46.501759],[-90.204009,46.478175],[-90.188996,46.469015],[-90.193294,46.463143],[-90.180336,46.456746],[-90.17786,46.440548],[-90.166919,46.439851],[-90.158603,46.422656],[-90.157851,46.409291],[-90.144359,46.390255],[-90.13225,46.381249],[-90.133871,46.371828],[-90.116844,46.355153],[-90.12138,46.338131],[-89.09163,46.138505],[-88.85027,46.040274],[-88.837991,46.030176],[-88.811948,46.021609],[-88.79646,46.023605],[-88.80067,46.030036],[-88.796182,46.033712],[-88.779221,46.031869],[-88.783891,46.020934],[-88.779915,46.015436],[-88.765208,46.022086],[-88.756295,46.020173],[-88.746422,46.025798],[-88.730675,46.026535],[-88.721125,46.022013],[-88.718397,46.013284],[-88.704687,46.018154],[-88.679132,46.013538],[-88.661312,45.988819],[-88.6375,45.98496],[-88.616405,45.9877],[-88.611466,46.003332],[-88.60144,46.017599],[-88.59386,46.015132],[-88.589755,46.005602],[-88.565485,46.015708],[-88.550756,46.012896],[-88.541078,46.013763],[-88.533825,46.020915],[-88.514601,46.019926],[-88.507188,46.0183],[-88.498108,45.99636],[-88.492495,45.992157],[-88.476002,45.992826],[-88.470855,46.001004],[-88.458658,45.999391],[-88.450325,45.990181],[-88.439733,45.990456],[-88.416914,45.975323],[-88.388847,45.982675],[-88.380183,45.991654],[-88.330137,45.965951],[-88.330296,45.956625],[-88.326953,45.955071],[-88.316894,45.960969],[-88.292381,45.951115],[-88.250133,45.963147],[-88.246307,45.962983],[-88.242518,45.950363],[-88.23314,45.947405],[-88.201852,45.945173],[-88.202116,45.949836],[-88.191991,45.95274],[-88.170096,45.93947],[-88.146352,45.935314],[-88.121864,45.92075],[-88.104686,45.922121],[-88.096496,45.917273],[-88.095354,45.913895],[-88.105677,45.904387],[-88.101814,45.883504],[-88.095841,45.880042],[-88.083965,45.881186],[-88.073944,45.875593],[-88.075146,45.864832],[-88.081641,45.865087],[-88.13611,45.819029],[-88.129461,45.809288],[-88.105355,45.800104],[-88.103247,45.791361],[-88.072091,45.780261],[-88.050634,45.780972],[-88.040221,45.789236],[-87.991447,45.795393],[-87.98087,45.776977],[-87.989829,45.772945],[-87.96697,45.764021],[-87.963452,45.75822],[-87.905873,45.759364],[-87.896032,45.752285],[-87.875813,45.753888],[-87.864141,45.745697],[-87.86432,45.737139],[-87.85548,45.726943],[-87.805867,45.706841],[-87.809181,45.700337],[-87.782226,45.683053],[-87.780737,45.675458],[-87.823164,45.662732],[-87.824102,45.647138],[-87.810194,45.638732],[-87.79588,45.618846],[-87.780845,45.614599],[-87.777199,45.588499],[-87.787534,45.581376],[-87.790874,45.564096],[-87.806104,45.562863],[-87.829346,45.568776],[-87.833591,45.562529],[-87.80339,45.538272],[-87.802267,45.514233],[-87.792769,45.499967],[-87.812971,45.4661],[-87.861697,45.434473],[-87.860432,45.423504],[-87.849322,45.403872],[-87.859131,45.398967],[-87.859418,45.388227],[-87.875424,45.379373],[-87.871789,45.373557],[-87.884855,45.362792],[-87.888052,45.354697],[-87.881114,45.351278],[-87.86856,45.360537],[-87.860871,45.351192],[-87.850418,45.347492],[-87.848368,45.340676],[-87.832612,45.352249],[-87.790324,45.353444],[-87.783076,45.349725],[-87.754104,45.349442],[-87.751626,45.354169],[-87.738352,45.358243],[-87.718891,45.377462],[-87.693956,45.389893],[-87.675017,45.382454],[-87.674403,45.378065],[-87.657349,45.368752],[-87.656632,45.358617],[-87.648476,45.352243],[-87.648126,45.339396],[-87.662029,45.326434],[-87.663666,45.318257],[-87.687498,45.298055],[-87.698248,45.281512],[-87.69878,45.26942],[-87.709137,45.260341],[-87.711339,45.239965],[-87.724156,45.233236],[-87.721935,45.228444],[-87.726952,45.218949],[-87.726198,45.209391],[-87.741732,45.198201],[-87.736509,45.173389],[-87.683902,45.144135],[-87.675816,45.135059],[-87.678511,45.131204],[-87.672447,45.121294],[-87.661296,45.112566],[-87.661211,45.108279],[-87.631535,45.106224],[-87.59188,45.094689],[-87.587147,45.089495],[-87.587992,45.085271],[-87.601849,45.082297],[-87.610395,45.075617],[-87.625748,45.045157],[-87.624693,45.014176],[-87.630298,44.976865],[-87.661964,44.973035],[-87.696492,44.974233],[-87.766115,44.965351],[-87.817551,44.951986],[-87.837647,44.933091],[-87.844299,44.918524],[-87.827751,44.891229],[-87.832764,44.880939],[-87.852789,44.86486],[-87.865898,44.840988],[-87.878218,44.839016],[-87.899787,44.828051],[-87.941453,44.75608],[-87.964714,44.74357],[-87.983065,44.72073],[-87.990081,44.669791],[-88.002085,44.664035],[-88.009766,44.637081],[-87.998836,44.609523],[-88.001943,44.603909],[-88.012395,44.602438],[-88.027103,44.578992],[-88.039092,44.574324],[-88.042261,44.567344],[-88.005518,44.539216],[-87.970702,44.530292],[-87.943801,44.529693],[-87.929001,44.535993],[-87.901206,44.568887],[-87.899368,44.573043],[-87.903689,44.581317],[-87.901179,44.584545],[-87.867941,44.607606],[-87.809076,44.636189],[-87.77516,44.639281],[-87.756048,44.649117],[-87.748409,44.667122],[-87.71978,44.693246],[-87.720312,44.725073],[-87.610063,44.838384],[-87.581635,44.851638],[-87.550288,44.85129],[-87.530999,44.857437],[-87.515142,44.869596],[-87.502431,44.864619],[-87.478489,44.863572],[-87.437084,44.892718],[-87.421007,44.887869],[-87.419951,44.87594],[-87.405658,44.860098]]],[[[-86.880572,45.331467],[-86.895055,45.329035],[-86.899488,45.322588],[-86.896667,45.307275],[-86.899891,45.295185],[-86.925681,45.3242],[-86.95499,45.34128],[-86.956192,45.351179],[-86.946297,45.35869],[-86.95497,45.383194],[-86.943041,45.41525],[-86.934724,45.421123],[-86.928045,45.411273],[-86.917686,45.40789],[-86.892893,45.40898],[-86.877502,45.413981],[-86.862174,45.412151],[-86.853145,45.405547],[-86.830353,45.410852],[-86.828731,45.428461],[-86.810055,45.422619],[-86.805415,45.407324],[-86.824383,45.406135],[-86.841432,45.389601],[-86.853103,45.370861],[-86.863367,45.365],[-86.869031,45.333244],[-86.880572,45.331467]]]]},\"properties\":{\"name\":\"Wisconsin\",\"nation\":\"USA \"}}]}","volume":"29","issue":"6","noUsgsAuthors":false,"publicationDate":"2022-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Zebro, Logan R.","contributorId":348716,"corporation":false,"usgs":false,"family":"Zebro","given":"Logan R.","affiliations":[{"id":83401,"text":"Escanaba Lake Research Station","active":true,"usgs":false}],"preferred":false,"id":923713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mrnak, Joseph T.","contributorId":348717,"corporation":false,"usgs":false,"family":"Mrnak","given":"Joseph T.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":923714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shaw, Stephanie L.","contributorId":348718,"corporation":false,"usgs":false,"family":"Shaw","given":"Stephanie L.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":923715,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":923716,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sass, Greg G.","contributorId":348719,"corporation":false,"usgs":false,"family":"Sass","given":"Greg G.","affiliations":[{"id":83401,"text":"Escanaba Lake Research Station","active":true,"usgs":false}],"preferred":false,"id":923717,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70247379,"text":"70247379 - 2022 - Hybrid broadband ground-motion simulation validation of small magnitude active shallow crustal earthquakes in New Zealand","interactions":[],"lastModifiedDate":"2023-07-31T18:45:24.809351","indexId":"70247379","displayToPublicDate":"2022-11-30T13:27:06","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Hybrid broadband ground-motion simulation validation of small magnitude active shallow crustal earthquakes in New Zealand","docAbstract":"This article presents a comprehensive validation of the hybrid broadband ground-motion simulation approach (via the commonly used Graves and Pitarka method) in a New Zealand context with small magnitude point source ruptures using an extensive set of 5218 ground motions recorded at 212 sites from 479 active shallow crustal earthquakes across the country. Modifications to the simulation method inferred from a previous New Zealand validation are implemented, and the improvements are explicitly quantified. Empirical ground-motion models are also considered to provide a benchmark for simulation prediction accuracy and precision. Examination of intensity measure residuals identifies that the simulation method modifications lead to reduced model prediction bias and within-event variability and provides evidence toward the use of spatially varying coefficient models for simulation parameters, such as the high-frequency Brune stress parameter. Additional biases identified include, among others, underprediction of significant durations at soft soil sites and overprediction of short-period pseudo-spectral accelerations at stiff alluvial gravel and rock sites due to low-estimated 30 m time-averaged shear-wave velocity values.
","language":"English","publisher":"SAGE publishing","doi":"10.1177/87552930221109297","usgsCitation":"Lee, R.L., Bradley, B.A., Stafford, P.J., Graves, R., and Rodriguez-Marek, A., 2022, Hybrid broadband ground-motion simulation validation of small magnitude active shallow crustal earthquakes in New Zealand: Earthquake Spectra, v. 38, no. 4, p. 2548-2579, https://doi.org/10.1177/87552930221109297.","productDescription":"32 p.","startPage":"2548","endPage":"2579","ipdsId":"IP-128104","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":419449,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"New Zealand","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[173.02037,-40.91905],[173.24723,-41.332],[173.95841,-40.9267],[174.24759,-41.34916],[174.24852,-41.77001],[173.87645,-42.23318],[173.22274,-42.97004],[172.71125,-43.37229],[173.08011,-43.85334],[172.30858,-43.86569],[171.45293,-44.24252],[171.18514,-44.8971],[170.6167,-45.90893],[169.83142,-46.35577],[169.33233,-46.64124],[168.41135,-46.61994],[167.76374,-46.2902],[166.67689,-46.21992],[166.50914,-45.8527],[167.04642,-45.11094],[168.30376,-44.12397],[168.94941,-43.93582],[169.66781,-43.55533],[170.52492,-43.03169],[171.12509,-42.51275],[171.56971,-41.76742],[171.94871,-41.51442],[172.09723,-40.9561],[172.79858,-40.49396],[173.02037,-40.91905]]],[[[174.61201,-36.1564],[175.33662,-37.2091],[175.3576,-36.52619],[175.80889,-36.79894],[175.95849,-37.55538],[176.7632,-37.88125],[177.43881,-37.96125],[178.01035,-37.57982],[178.51709,-37.69537],[178.27473,-38.58281],[177.97046,-39.16634],[177.20699,-39.14578],[176.93998,-39.44974],[177.03295,-39.87994],[176.88582,-40.06598],[176.50802,-40.60481],[176.01244,-41.28962],[175.23957,-41.68831],[175.0679,-41.42589],[174.65097,-41.28182],[175.22763,-40.45924],[174.90016,-39.90893],[173.82405,-39.50885],[173.85226,-39.1466],[174.5748,-38.79768],[174.74347,-38.02781],[174.69702,-37.38113],[174.29203,-36.71109],[174.319,-36.53482],[173.841,-36.12198],[173.05417,-35.23713],[172.63601,-34.52911],[173.00704,-34.45066],[173.5513,-35.00618],[174.32939,-35.2655],[174.61201,-36.1564]]]]},\"properties\":{\"name\":\"New Zealand\"}}]}","volume":"38","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-08-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Lee, Robin L.","contributorId":261917,"corporation":false,"usgs":false,"family":"Lee","given":"Robin","email":"","middleInitial":"L.","affiliations":[{"id":37172,"text":"University of Canterbury","active":true,"usgs":false}],"preferred":false,"id":879375,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradley, Brendon A.","contributorId":202814,"corporation":false,"usgs":false,"family":"Bradley","given":"Brendon","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":879376,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stafford, Peter J.","contributorId":261918,"corporation":false,"usgs":false,"family":"Stafford","given":"Peter","email":"","middleInitial":"J.","affiliations":[{"id":24608,"text":"Imperial College London","active":true,"usgs":false}],"preferred":false,"id":879377,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Graves, Robert 0000-0001-9758-453X rwgraves@usgs.gov","orcid":"https://orcid.org/0000-0001-9758-453X","contributorId":140738,"corporation":false,"usgs":true,"family":"Graves","given":"Robert","email":"rwgraves@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":879378,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rodriguez-Marek, Adrian","contributorId":261919,"corporation":false,"usgs":false,"family":"Rodriguez-Marek","given":"Adrian","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":879379,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70238529,"text":"sir20225098 - 2022 - Verification of irrigated agricultural land acreage in 55 counties in Florida, 2013–21","interactions":[],"lastModifiedDate":"2022-12-01T13:40:32.676448","indexId":"sir20225098","displayToPublicDate":"2022-11-30T11:35:28","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-5098","displayTitle":"Verification of Irrigated Agricultural Land Acreage in 55 Counties in Florida, 2013–21","title":"Verification of irrigated agricultural land acreage in 55 counties in Florida, 2013–21","docAbstract":"In 2012, the Florida Legislature mandated that the Florida Department of Agriculture and Consumer Services (FDACS), Office of Agricultural Water Policy, promote an agricultural water-conservation program that would include a cost-share program and best management practices and that would aid the five water management districts in the development of consistent agricultural water-supply planning, assisting the districts in projecting future agricultural water needs and promoting consistency in water-use estimates among the districts. Beginning in 2013, the FDACS created a series of agriculture and irrigated land-use maps for all Florida counties for the purpose of estimating current and forecasting future water demands. These maps, produced and updated periodically by The Balmoral Group, were based on baseline data from 2010 and have been updated with a combination of satellite images and land-use data from water management districts in subsequent years (2013–21) to help create a statewide database of irrigated agricultural lands. The purpose of this multiyear cooperative study between the U.S. Geological Survey and the FDACS is to provide (1) a detailed geospatial database of verified irrigated field locations with selected attributes as ArcGIS shapefiles and (2) aggregated acreage totals by crop type for all or parts of 55 of the 67 counties within Florida. Ten of the remaining 12 counties were fully mapped by the St. John’s River Water Management District in 2015; the other 2 counties were not mapped because they contained very little irrigated agricultural land. Irrigated agricultural fields identified on The Balmoral Group baseline maps for each of the 55 counties were either physically observed by U.S. Geological Survey or were verified through water management district’s consumptive water-use permit database. A select group of counties were chosen to be field verified each year, concluding with a total of 55 counties in Florida field verified between October 2013 and August 2021. The results provided from this multiyear study can help increase the accuracy of irrigation water-use estimates for counties in Florida.
Director, Caribbean-Florida Water Science Center
U.S. Geological Survey
4446 Pet Lane, Suite 108
Lutz, FL 33559
https://www.usgs.gov/centers/car-fl-water
Transgression and regression of water levels (stages) have impacted the evolution of aeolian landforms and sedimentary deposits throughout geologic history. We studied this phenomenon over a five-day period of reduced flow on the Colorado River in Grand Canyon National Park, AZ, USA, in March 2021. These transient low flows exposed river-channel sand deposits to the air, causing progressive desiccation (drying) and thereby making these deposits susceptible to aeolian transport. We measured aeolian threshold friction velocities (u*t) for sand saltation and PM10 dust emissions, as well as other characteristics, on a subaerially exposed sandbar and downwind aeolian dunefield during each day of the low river flow. The sandbar transitioned from supply-limited to transport-limited aeolian sediment transport conditions during the regression in river water stage. A possible tipping point between the two transport conditions occurred approximately 48 hours after the drop in river flow. The empirically measured u*t decreased as the sandbar sediment dried with increased subaerial exposure time. Theoretical estimates and empirical measurements of u*t corresponded closely on the aeolian dunefield and on the sandbar when it was drier during the third and fourth day of the experiment. Eighty-seven percent of the variability in u*t was explained by empirical models that provide practical estimates of aeolian transport potential of subaerial river sediment deposits using monitoring data that are commonly available in this and other river systems. The work provides theoretical insight into the response of aeolian processes to sediment supply changes driven by periods of anthropogenic activity, drought, and climate change.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022JF006816","usgsCitation":"Sankey, J., Caster, J., Kasprak, A., and Fairley, H.C., 2022, The influence of drying on the aeolian transport of river-sourced sand: Journal of Geophysical Research Earth Surface, v. 127, no. 12, e2022JF006816, 24 p., https://doi.org/10.1029/2022JF006816.","productDescription":"e2022JF006816, 24 p.","ipdsId":"IP-142498","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":445764,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022jf006816","text":"Publisher Index Page"},{"id":435603,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P91WBUYO","text":"USGS data release","linkHelpText":"Threshold friction velocities for aeolian transport of river-sourced sand, with related moisture content, grain size, topographic, and wind data from Lees Ferry, Arizona"},{"id":409919,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Grand Canyon National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.35659478532732,\n 36.965267960408156\n ],\n [\n -114.03110966943333,\n 36.965267960408156\n ],\n [\n -114.03110966943333,\n 35.544550609550456\n ],\n [\n -111.35659478532732,\n 35.544550609550456\n ],\n [\n -111.35659478532732,\n 36.965267960408156\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"127","issue":"12","noUsgsAuthors":false,"publicationDate":"2022-12-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Sankey, Joel B. 0000-0003-3150-4992","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":261248,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":858099,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caster, Joshua 0000-0002-2858-1228 jcaster@usgs.gov","orcid":"https://orcid.org/0000-0002-2858-1228","contributorId":199033,"corporation":false,"usgs":true,"family":"Caster","given":"Joshua","email":"jcaster@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":858100,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kasprak, Alan 0000-0001-8184-6128","orcid":"https://orcid.org/0000-0001-8184-6128","contributorId":204162,"corporation":false,"usgs":true,"family":"Kasprak","given":"Alan","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":858101,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fairley, Helen C. 0000-0001-6151-4804 hfairley@usgs.gov","orcid":"https://orcid.org/0000-0001-6151-4804","contributorId":3040,"corporation":false,"usgs":true,"family":"Fairley","given":"Helen","email":"hfairley@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":858102,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70238688,"text":"70238688 - 2022 - Defining biologically relevant and hierarchically nested population units to inform wildlife management","interactions":[],"lastModifiedDate":"2022-12-05T13:03:45.51127","indexId":"70238688","displayToPublicDate":"2022-11-30T06:52:31","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Defining biologically relevant and hierarchically nested population units to inform wildlife management","docAbstract":"Wildlife populations are increasingly affected by natural and anthropogenic changes that negatively alter biotic and abiotic processes at multiple spatiotemporal scales and therefore require increased wildlife management and conservation efforts. However, wildlife management boundaries frequently lack biological context and mechanisms to assess demographic data across the multiple spatiotemporal scales influencing populations. To address these limitations, we developed a novel approach to define biologically relevant subpopulations of hierarchically nested population levels that could facilitate managing and conserving wildlife populations and habitats. Our approach relied on the Spatial “K”luster Analysis by Tree Edge Removal clustering algorithm, which we applied in an agglomerative manner (bottom-to-top). We modified the clustering algorithm using a workflow and population structure tiers from least-cost paths, which captured biological inferences of habitat conditions (functional connectivity), dispersal capabilities (potential connectivity), genetic information, and functional processes affecting movements. The approach uniquely included context of habitat resources (biotic and abiotic) summarized at multiple spatial scales surrounding locations with breeding site fidelity and constraint-based rules (number of sites grouped and population structure tiers). We applied our approach to greater sage-grouse (Centrocercus urophasianus), a species of conservation concern, across their range within the western United States. This case study produced 13 hierarchically nested population levels (akin to cluster levels, each representing a collection of subpopulations of an increasing number of breeding sites). These closely approximated population closure at finer ecological scales (smaller subpopulation extents with fewer breeding sites; cluster levels ≥2), where >92% of individual sage-grouse's time occurred within their home cluster. With available population monitoring data, our approaches can support the investigation of factors affecting population dynamics at multiple scales and assist managers with making informed, targeted, and cost-effective decisions within an adaptive management framework. Importantly, our approach provides the flexibility of including species-relevant context, thereby supporting other wildlife characterized by site fidelity.
Toxic baits are a potential control mechanism for nuisance carps, but rotenone-based baits for grass carp Ctenopharyngodon idella have been ineffective. Failures have been attributed to the palatability of rotenone because innocuous training pellets are readily consumed prior to provision of piscicide baits. Several studies suggest antimycin A, a common alternative piscicide, typically applied directly to water, may be suitable as an ingested bait. The oral toxicity of antimycin A is not well described. We evaluated the oral toxicity of antimycin A in two carriers (ethanol and corn oil) on grass carp and black carp Mylopharyngodon piceus, administered via gavage. Doses ranged from 1–16 mg/kg. Lethal dose estimates for 50% of treated fish (LD50) were calculated, and the observed treatment levels resulting in complete mortality are reported at 24- and 96-hours post-treatment. Ethanol was a more effective carrier than corn oil with lower LD50 estimates and observed treatment levels with complete mortality. Antimycin A in corn oil produced only partial mortality of black carp even 96 hours from treatment and at the highest dose administered. Results document ingested doses required for mortality of grass carp and black carp that may be used for future development of species-selective antimycin A baits.
","language":"English","publisher":"Regional Euro-Asian Biological Invasions Centre","doi":"10.3391/mbi.2022.13.4.10","usgsCitation":"Kroboth, P., Chapman, D., Steevens, J.A., and Byrd, C.G., 2022, Ingested toxicity of antimycin A to grass carp Ctenopharyngodon idella and black carp Mylopharyngodon piceus in two carriers: Management of Biological Invasions, v. 13, no. 4, p. 737-749, https://doi.org/10.3391/mbi.2022.13.4.10.","productDescription":"13 p.","startPage":"737","endPage":"749","ipdsId":"IP-127043","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":445770,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2022.13.4.10","text":"Publisher Index Page"},{"id":435606,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XTNCYC","text":"USGS data release","linkHelpText":"Survival of grass carp and black carp gavaged with an oral dose of antimycin A in two carriers, corn oil and ethanol"},{"id":413096,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kroboth, Patrick 0000-0002-9447-4818","orcid":"https://orcid.org/0000-0002-9447-4818","contributorId":216578,"corporation":false,"usgs":true,"family":"Kroboth","given":"Patrick","email":"","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":864332,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":864333,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Steevens, Jeffery A. 0000-0003-3946-1229","orcid":"https://orcid.org/0000-0003-3946-1229","contributorId":207511,"corporation":false,"usgs":true,"family":"Steevens","given":"Jeffery","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":864334,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Byrd, Curtis G. 0000-0002-5124-5652","orcid":"https://orcid.org/0000-0002-5124-5652","contributorId":210798,"corporation":false,"usgs":true,"family":"Byrd","given":"Curtis","email":"","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":864335,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70239048,"text":"70239048 - 2022 - Biofilms as potential reservoirs of stony coral tissue loss disease","interactions":[],"lastModifiedDate":"2023-01-12T15:29:21.527252","indexId":"70239048","displayToPublicDate":"2022-11-30T06:49:06","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Biofilms as potential reservoirs of stony coral tissue loss disease","docAbstract":"Since 2014, corals throughout Florida’s Coral Reef have been plagued by an epizootic of unknown etiology, colloquially termed stony coral tissue loss disease (SCTLD). Although in Florida the movement of this waterborne coral disease has been consistent with natural transport via water currents, outbreaks in the Caribbean have been more sporadic, with infections occurring in locations inconsistent with spread via natural means. Often Caribbean outbreaks have been clustered near ports, potentially implicating ships as mediators of SCTLD into new regions. Biofilms attached to ship hulls, ballast tank walls, or other surfaces could represent a possible vector for the disease. We investigated whether bacteria shed by healthy and SCTLD-diseased corals would form distinct biofilms, and whether a SCTLD signal would be detectable within biofilm bacterial communities. Stainless steel plates serving as proxies for ship hulls, ballast tank walls, and other colonizable surfaces were incubated for three days in filtered seawater mesocosms containing healthy or SCTLD-infected corals. Resulting biofilm bacterial communities were characterized through sequencing of the V4 region of the 16S rRNA gene. We determined that bacteria shed by healthy and diseased corals formed significantly different biofilms consisting of highly diverse taxa. Comparison with 16S data from previous SCTLD investigations spanning different coral species, collection locations, years, and source material revealed the presence of numerous genetically identical sequences within the biofilm bacterial communities formed during exposure to SCTLD-infected corals, including several previously identified as possible SCTLD bioindicators. These results suggest ship-associated biofilms may have the potential to be vectors for the transmission of SCTLD into new regions.
Recent studies have documented benefits of small, prescribed fire and wildfire for grassland-dependent wildlife, such as lesser prairie-chickens (Tympanuchus pallidicintus), but wildlife demographic response to the scale and intensity of megafire (wildfire >40,000 ha) in modern, fragmented grasslands remains unknown. Limited available grassland habitat makes it imperative to understand if increasing frequency of megafires could further reduce already declining lesser prairie-chicken populations, or if historical evolutionary interactions with fire make lesser prairie-chickens resilient. To evaluate lesser prairie-chicken demographic response to megafires, we compared lek counts, nest density, and survival rates of adults, nests, and chicks before (2014–2016) and after (2018–2020) a 2017 megafire in the mixed-grass prairie of Kansas, USA (Starbuck fire ~254,000 ha). There was a 67% decline in attending males on leks post-fire and a 57% decline in occupied leks post-fire. Despite population declines as indicated by lek counts, adult female breeding season survival (Ŝ) was similar pre- (Ŝ = 0.65 ± 0.08 [SE]) and post-fire (0.61 ± 0.08), as was chick survival (pre-fire: 0.23 ± 0.07; post-fire: 0.27 ± 0.11). Nest survival appeared lower post-fire (pre-fire: 0.38 ± 0.06; post-fire: 0.20 ± 0.06), but did not differ at the 95% confidence interval. Nest density of marked females declined 73% in areas burned by megafire. Although lesser prairie-chickens persisted in the study area and we documented minimal effects on most demographic rates, reduced lesser prairie-chicken abundance and reproductive output suggests full recovery may take >3 years. Increased propensity for megafire resulting from suppression of smaller fires, compounded by climate change and woody encroachment, may impose a short-term (3–5 year) threat to already declining lesser prairie-chicken populations.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.9544","usgsCitation":"Parke, N.J., Sullin, D.S., Haukos, D.A., Fricke, K., Hagen, C., and Ahlers, A.A., 2022, Demographic effects of a megafire on a declining prairie grouse in the mixed-grass prairie: Ecology and Evolution, v. 12, no. 12, e9544, 16 p., https://doi.org/10.1002/ece3.9544.","productDescription":"e9544, 16 p.","ipdsId":"IP-142934","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":445778,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.9544","text":"Publisher Index Page"},{"id":432681,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas, Oklahoma","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -101.54073970102226,\n 37.75193745545033\n ],\n [\n -101.54073970102226,\n 36.24283843115835\n ],\n [\n -98.50851313852192,\n 36.24283843115835\n ],\n [\n -98.50851313852192,\n 37.75193745545033\n ],\n [\n -101.54073970102226,\n 37.75193745545033\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"12","issue":"12","noUsgsAuthors":false,"publicationDate":"2022-11-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Parke, Nicholas J.","contributorId":341309,"corporation":false,"usgs":false,"family":"Parke","given":"Nicholas","email":"","middleInitial":"J.","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":908215,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sullin, Daniel S.","contributorId":341310,"corporation":false,"usgs":false,"family":"Sullin","given":"Daniel","email":"","middleInitial":"S.","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":908216,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":908217,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fricke, Kent A.","contributorId":341311,"corporation":false,"usgs":false,"family":"Fricke","given":"Kent A.","affiliations":[{"id":81167,"text":"Kansas Department of Wildlife and Parks","active":true,"usgs":false}],"preferred":false,"id":908218,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hagen, Christian A.","contributorId":341312,"corporation":false,"usgs":false,"family":"Hagen","given":"Christian A.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":908219,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ahlers, Adam A.","contributorId":341313,"corporation":false,"usgs":false,"family":"Ahlers","given":"Adam","email":"","middleInitial":"A.","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":908220,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70238360,"text":"sir20225096 - 2022 - Hydrology, water quality, and biological characteristics of Levittown Lake, Toa Baja, Puerto Rico, April 2010–June 2011","interactions":[],"lastModifiedDate":"2023-03-01T14:02:20.350129","indexId":"sir20225096","displayToPublicDate":"2022-11-29T13:35:24","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-5096","displayTitle":"Hydrology, Water Quality, and Biological Characteristics of Levittown Lake, Toa Baja, Puerto Rico, April 2010–June 2011","title":"Hydrology, water quality, and biological characteristics of Levittown Lake, Toa Baja, Puerto Rico, April 2010–June 2011","docAbstract":"Levittown Lake is a 30-hectare, brackish waterbody located in the municipality of Toa Baja, on the northern coast of Puerto Rico. The lake is a small, man-made feature formed by draining the marshland over which the Levittown community was built. Levittown Lake has an average depth of about 5 meters and a water level at/near mean sea level. Tidal oscillations within the lake were minimal during the study, about 10 centimeters regardless of ocean tides, and the daily flushing rate of the lake was about 2 percent of its entire water volume.
Hydrologic, water-quality, and biological data were collected in Levittown Lake and adjacent areas (specifically, the inlet/outlet channel and Caño El Hato drainage canal) between April 2010 and June 2011 (1) to establish baseline conditions and determine the water quality of the lake on the basis of preestablished standards and (2) for contrast with other, more healthy coastal lagoons. The study provides a baseline for an assessment of the potential of Levittown Lake to function as a coastal lagoon.
Water-quality properties measured onsite (temperature, pH, dissolved oxygen concentration, specific conductance, salinity, and water transparency) varied diurnally and seasonally. In general, water-quality properties were in compliance with current regulatory Class SB standards established by the Puerto Rico Environmental Quality Board, except for some dissolved oxygen concentration and pH measurements. Some dissolved oxygen concentration measurements at the water surface and all dissolved oxygen concentration measurements at the lake bottom were lower than the values recommended by the Puerto Rico Environmental Quality Board. The pH of the water at the lake surface ranged from 7.3 to 9.1, with the upper value exceeding the recommended pH values. Nutrient concentrations were below the current regulatory standards of less than 5 milligrams per liter (mg/L) for total nitrogen and 1 mg/L for total phosphorus. The measured concentrations of chlorophyll a varied throughout the year of sampling and indicate that eutrophic conditions predominate in Levittown Lake.
The phytoplankton yielded an average net productivity of 0.5 milligram of oxygen per liter per hour, as determined by light and dark bottle primary productivity studies conducted on a monthly basis and measured in the early morning hours. Because these measurements were restricted to the morning hours, a qualification of the representativeness of the results to the full diurnal cycle is necessary. The measured hourly respiration rate averaged 0.39 milligram of oxygen per liter. Diel studies were planned in the lake to assess dissolved oxygen concentration diurnal curves and ultimately to compute the community net primary productivity, respiration, and gross productivity. Conditions during the diel studies were later determined to be unsuitable, limiting the assessment of community metabolism. Another biological indicator evaluated during the study was the phytoplankton biomass, and results indicated that phytoplankton biomass measured at the Levittown Lake ranged from 6.0 to 112.5 mg/L.
Fecal indicator bacteria concentrations ranged from 10 to 1,540,000 colonies per 100 milliliters of water. Concentrations generally were greatest in and near the Caño El Hato drainage canal and, during the study, exceeded current regulatory standards established for Puerto Rico.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225096","issn":"2328-0328","collaboration":"Prepared in cooperation with the Puerto Rico Department of Natural and Environmental Resources","usgsCitation":"Soler-López, L.R., Gómez-Fragoso, J.M., and Val-Merníz, N.A., 2022, Hydrology, water quality, and biological characteristics of Levittown Lake, Toa Baja, Puerto Rico, April 2010–June 2011: U.S. Geological Survey Scientific Investigations Report 2022–5096, 32 p., https://doi.org/10.3133/sir20225096.","productDescription":"Report: vii, 32 p.; Data Release; Dataset","numberOfPages":"44","onlineOnly":"Y","ipdsId":"IP-064860","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":409442,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MC6JZ6","text":"USGS data release","linkHelpText":"Data for the hydrologic and water-quality characterization of Levittown Lake, Toa Baja, Puerto Rico, April 2010–June 2011"},{"id":409802,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20225096/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":409439,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5096/sir20225096.pdf","text":"Report","size":"1.73 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022-5096"},{"id":409438,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5096/coverthb.jpg"},{"id":409440,"rank":2,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5096/sir20225096.XML"},{"id":409441,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5096/images"},{"id":409443,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the Nation"}],"country":"United States","state":"Puerto Rico","otherGeospatial":"Levittown Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -66.20418646107952,\n 18.468480510318614\n ],\n [\n -66.20418646107952,\n 18.43267147514682\n ],\n [\n -66.16780969765956,\n 18.43267147514682\n ],\n [\n -66.16780969765956,\n 18.468480510318614\n ],\n [\n -66.20418646107952,\n 18.468480510318614\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Caribbean-Florida Water Science Center
U.S. Geological Survey
4446 Pet Lane, Suite 108
Lutz, FL 33559
More than 840 publications, 575 data releases, and 330 project web pages from the U.S. Geological Survey (USGS) pertain to the Colorado River Basin. Limited interconnections between Colorado River Basin publications, data, and web pages restrict the ability to synthesize and interpret scientific resources. Currently, these pieces are spread across multiple isolated locations, internal systems, data repositories, and local offices. The increasing size, complexity, and diversity of Colorado River Basin data creates additional need for integration. These different data types—including discrete, continuous, aerial, remote sensing, geophysical, geospatial, and other types in varied formats—are collected over numerous time and space scales and require data-intensive science and technology to integrate.
Information management technology (IMT) resources are enterprise capabilities that the USGS workforce can leverage at multiple scales with consistent interoperable solutions to better facilitate integrated science. The USGS 21st Century Science Strategy directs the USGS to establish enterprise IMT capabilities that support integrated work through interoperable software and database solutions at multiple scales. This Information Management Technology Plan identifies nine steps to leverage new and existing technologies, data, models, and scientific knowledge to support integrated science projects conducted across the Colorado River Basin. These steps are transferable to integrated-science studies in other locations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20223051","usgsCitation":"Anderson, E.D, Erxleben, J.R., Qi, S.L., Monroe, A.P., and Dahm, K.G., 2022, U.S. Geological Survey Colorado River Basin Actionable and Strategic Integrated Science and Technology (ASIST)—Information Management Technology Plan: U.S. Geological Survey Fact Sheet 2022-3051, 4 p., https://doi.org/10.3133/fs20223051.","productDescription":"4 p.","onlineOnly":"Y","ipdsId":"IP-132808","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":64844,"text":"Rocky Mountain Region Director’s Office","active":true,"usgs":true}],"links":[{"id":409861,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20223051/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2022-3051"},{"id":409757,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2022/3051/coverthb.jpg"},{"id":409758,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2022/3051/fs20223051.pdf","text":"Report","size":"1.26 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2022-3051"},{"id":409760,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20223010","text":"USGS Fact Sheet 2022-3010—","linkHelpText":"Addressing Stakeholder Science Needs for Integrated Drought Science in the Colorado River Basin Fact Sheet 2022-3010"},{"id":409803,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2022/3051/images"},{"id":409804,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2022/3051/fs20223051.xml"}],"country":"United States","state":"Arizona, Colorado, Nevada, New Mexico, Utah, Wyoming","otherGeospatial":"Colorado River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.00488281250001,\n 32.65787573695528\n ],\n [\n -114.78515624999999,\n 31.840232667909365\n ],\n [\n -113.99414062499999,\n 31.541089879585808\n ],\n [\n -113.2470703125,\n 31.015278981711266\n ],\n [\n -112.0166015625,\n 30.14512718337613\n ],\n [\n -110.654296875,\n 29.878755346037977\n ],\n [\n -109.86328125,\n 29.99300228455108\n ],\n [\n -108.720703125,\n 30.600093873550072\n ],\n [\n -108.28125,\n 31.653381399664\n ],\n [\n -108.28125,\n 32.54681317351514\n ],\n [\n -107.9736328125,\n 33.87041555094183\n ],\n [\n -107.40234375,\n 34.23451236236987\n ],\n [\n -106.9189453125,\n 35.88905007936091\n ],\n [\n -106.69921875,\n 36.35052700542763\n ],\n [\n -106.3916015625,\n 37.23032838760387\n ],\n [\n -106.3916015625,\n 38.272688535980976\n ],\n [\n -106.3916015625,\n 39.13006024213511\n ],\n [\n -106.12792968749999,\n 40.84706035607122\n ],\n [\n -106.3037109375,\n 41.47566020027821\n ],\n [\n -107.09472656249999,\n 41.96765920367816\n ],\n [\n -108.67675781249999,\n 42.32606244456202\n ],\n [\n -109.7314453125,\n 43.03677585761058\n ],\n [\n -110.654296875,\n 43.45291889355465\n ],\n [\n -111.09374999999999,\n 43.389081939117496\n ],\n [\n -111.1376953125,\n 42.61779143282346\n ],\n [\n -111.005859375,\n 42.16340342422401\n ],\n [\n -110.830078125,\n 41.376808565702355\n ],\n [\n -111.0498046875,\n 40.51379915504413\n ],\n [\n -111.4013671875,\n 39.740986355883564\n ],\n [\n -111.533203125,\n 37.68382032669382\n ],\n [\n -112.19238281249999,\n 37.43997405227057\n ],\n [\n -113.203125,\n 37.3002752813443\n ],\n [\n -114.2138671875,\n 37.37015718405753\n ],\n [\n -114.521484375,\n 38.20365531807149\n ],\n [\n -115.13671875,\n 38.51378825951165\n ],\n [\n -115.400390625,\n 37.16031654673677\n ],\n [\n -115.1806640625,\n 35.92464453144099\n ],\n [\n -114.82910156249999,\n 34.994003757575776\n ],\n [\n -114.697265625,\n 33.7243396617476\n ],\n [\n -115.00488281250001,\n 32.65787573695528\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Region 7 - Upper Colorado Basin
U.S. Geological Survey
Box 25046, MS-911
Denver, CO 80225-0046
River water temperatures are increasing globally, particularly in urban systems. In winter, wastewater treatment plant (WWTP) effluent inputs are of particular concern because they increase water temperatures from near freezing to ~7–15 °C. Recent laboratory studies suggest that warm overwinter temperatures impact the reproductive timing of some fishes. To evaluate winter water temperature’s influence in the wild, we sampled Johnny Darter Etheostoma nigrum from three urban South Platte River tributaries in Colorado upstream and downstream of WWTP effluent discharge sites. Fish were collected weekly during the spring spawning season of 2021 and reproductive development was determined from histological analysis of the gonads. Winter water temperatures were approximately 5–10 °C greater ~300 m downstream of the WWTP effluent compared to upstream sites, and approximately 3 °C warmer at sampling sites ~5000 m downstream of the effluent discharge. Females collected downstream of WWTP effluent experienced accelerated reproductive development compared to upstream by 1–2 weeks. Water quality, including total estrogenicity, and spring water temperatures did not appear to explain varying reproductive development. It appears that small increases in winter water temperature influence the reproductive timing in E. nigrum. Further investigations into how shifts in reproductive timing influence other population dynamics are warranted.
","language":"English","publisher":"MDPI","doi":"10.3390/fishes7060361","usgsCitation":"Adams, C.M., Winkelman, D.L., Schaffer, P.A., Villeneuve, D., Cavallin, J.E., Ellman, M., Santana Rodriguez, K., and Fitzpatrick, R.M., 2022, Elevated winter stream temperatures below wastewater treatment plants shift reproductive development of female Johnny Darter Etheostoma nigrum: A field and histologic approach: Fishes, v. 7, no. 6, 361, 21 p., https://doi.org/10.3390/fishes7060361.","productDescription":"361, 21 p.","ipdsId":"IP-144499","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":445780,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/fishes7060361","text":"Publisher Index Page"},{"id":430219,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Big Thompson River, Cache la Poudre River, St, Vrain Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.65453500751094,\n 40.768883536435936\n ],\n [\n -105.65453500751094,\n 40.09911106988662\n ],\n [\n -104.54071659609397,\n 40.09911106988662\n ],\n [\n -104.54071659609397,\n 40.768883536435936\n ],\n [\n -105.65453500751094,\n 40.768883536435936\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"7","issue":"6","noUsgsAuthors":false,"publicationDate":"2022-11-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Adams, Catherine M.","contributorId":339138,"corporation":false,"usgs":false,"family":"Adams","given":"Catherine","email":"","middleInitial":"M.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":903811,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Winkelman, Dana L. 0000-0002-5247-0114 danaw@usgs.gov","orcid":"https://orcid.org/0000-0002-5247-0114","contributorId":4141,"corporation":false,"usgs":true,"family":"Winkelman","given":"Dana","email":"danaw@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903812,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schaffer, Paula A.","contributorId":339141,"corporation":false,"usgs":false,"family":"Schaffer","given":"Paula","email":"","middleInitial":"A.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":903813,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Villeneuve, Daniel L.","contributorId":339142,"corporation":false,"usgs":false,"family":"Villeneuve","given":"Daniel L.","affiliations":[{"id":35215,"text":"Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":903814,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cavallin, Jenna E.","contributorId":339146,"corporation":false,"usgs":false,"family":"Cavallin","given":"Jenna","email":"","middleInitial":"E.","affiliations":[{"id":35215,"text":"Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":903815,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ellman, Michael","contributorId":339149,"corporation":false,"usgs":false,"family":"Ellman","given":"Michael","email":"","affiliations":[{"id":35215,"text":"Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":903816,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Santana Rodriguez, Kelvin","contributorId":339152,"corporation":false,"usgs":false,"family":"Santana Rodriguez","given":"Kelvin","email":"","affiliations":[{"id":35215,"text":"Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":903817,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fitzpatrick, Ryan M.","contributorId":339156,"corporation":false,"usgs":false,"family":"Fitzpatrick","given":"Ryan","email":"","middleInitial":"M.","affiliations":[{"id":81245,"text":"Colorado Parks and Wildlife, Research, Policy, and Planning Section,","active":true,"usgs":false}],"preferred":false,"id":903818,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70239436,"text":"70239436 - 2022 - Regional-scale mapping of landscape response to extreme precipitation using repeat lidar and object-based image analysis","interactions":[],"lastModifiedDate":"2023-01-13T13:25:15.785359","indexId":"70239436","displayToPublicDate":"2022-11-29T07:19:38","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5026,"text":"Earth and Space Science","active":true,"publicationSubtype":{"id":10}},"title":"Regional-scale mapping of landscape response to extreme precipitation using repeat lidar and object-based image analysis","docAbstract":"Extreme precipitation events may cause flooding, slope failure, erosion, deposition, and damage to infrastructure over a regional scale, but the impacts of these events are often difficult to fully characterize. Regional-scale landscape change occurred during an extreme rain event in June 2012 in northeastern Minnesota. Landscape change was documented by 8,000 km2 of airborne lidar data collected before and after the event. Following improved alignment of the lidar point data and reducing error using insight from analysis of extensive stable areas, elevation differences were classified into map objects representing geomorphic change in relation to process and landscape position using object-based image analysis. This remote mapping compares favorably to field and imagery-based mapping and provides the basis for volumetric sediment budgeting. Elevation differences in these objects indicate that 4.5 × 106 ± 1.0 × 106 m3 of sediment was eroded in the study area. Of this, 2.5 × 106 ± 3.3 × 105 m3 was deposited in deposits on hillslopes and valley floors, and 2.0 × 106 ± 4.6 × 105 m3 were removed from watersheds and exported to the Saint Louis River Estuary and Lake Superior. Multivariate logistic regression analysis emphasized that topographic slope and presence of glaciolacustrine clay lithology are the primary control on landslide occurrence, and landslides occur most frequently on slopes within tens of meters of stream channels. These results provide the basis to anticipate the impacts of similar future storm events. Because precipitation events are forecast to continue to increase in frequency and intensity owing to climate change, characterizing and anticipating their effects may support hazard planning.
The U.S. Geological Survey, in cooperation with the Mississippi Band of Choctaw Indians (MBCI), conducted a baseline assessment of the physical, chemical, and biological quality of selected streams and rivers within and contiguous to the Pearl River Community (PRC) in 2017 and 2018. The MBCI is a federally recognized tribe with territories in Mississippi and Tennessee. MBCI Tribal government and communities have sovereign authority over their natural resources and are responsible for protecting the quality of waters within the Tribal lands from sources of pollution and restoring impaired waters. The quality of these surface waters has a profound effect upon the health and welfare of MBCI Tribal members. Data generated from this study may be used with other relevant water-quality data for comparison and development of Tribal water-quality standards.
The PRC territory is drained by the Pearl River and associated tributaries. Water-quality and biological samples were collected and habitat surveys were conducted at sites on the mainstem of the Pearl River and major tributaries of the Pearl River—Wolf Creek, Beasha Creek, Jones Creek, and Kentawka Creek. The selected stream sites represent a range of land use/land cover and potential sources of alteration and contamination from within their respective drainage areas. In particular, Wolf Creek watershed has the highest relative percentage of developed land.
Ambient physicochemical properties, major ions, nutrients, and organic wastewater compounds (OWCs) were analyzed quarterly from surface-water samples from October 2017 through August 2018. Physicochemical properties were also measured in June 2018 over a continuous 48-hour period. Trace elements and polycyclic aromatic hydrocarbons were analyzed from streambed sediments in August 2018. Biological samples included the collection of periphyton algae (August 2018), benthic macroinvertebrate (March 2017 and March 2018), and fish communities (April 2018). Physical stream habitat characteristics were assessed using qualitative (March 2017 and March 2018) and quantitative surveys (August 2018).
While not directly applicable, the State of Mississippi Water Quality Standards were used as reference to evaluate Tribal water quality. Physicochemical water-quality constituents—water temperature, specific conductance (SC), pH, and dissolved oxygen (DO)—were generally within natural ranges among sites and samples, with a few exceptions that exceeded existing Mississippi water-quality standards. pH and DO periodically were below the minimum State standards at some sampled sites. Specific conductance was also relatively high at both Wolf Creek sites but did not exceed the existing maximum standard for recreational waters.
The surface water among stream sites was predominantly calcium bicarbonate type, with a shift toward sodium-bicarbonate water type at the downstream Wolf Creek (Wolf DS) site. Major ion concentrations were generally highest at the Wolf Creek sites. Nutrient concentrations were also often highest at Wolf DS, but total nitrogen and total phosphorus periodically exceeded recommended State and Federal nutrient criteria thresholds among most sampled sites. Twenty-nine OWCs, including 10 known or suspected endocrine disruptors, were detected among sites. Concentrations of OWCs were relatively low, and only 19 percent of all detections were above the reporting level.
Concentrations of copper and nickel in streambed sediments were detected above consensus-based threshold-effect concentrations (TECs) at one site each, and arsenic and chromium exceeded TECs at most sites. Concentrations of all polycyclic aromatic hydrocarbons in streambed sediments were low and well below TECs at all sites.
The periphyton, macroinvertebrate, and fish communities at most sampled sites appear typical of central Mississippi streams; however, the diversity, composition, and abundance of taxa sampled from Wolf DS were particularly distinctive compared to other sampled stream sites. Periphyton taxa richness was low at both Wolf Creek sites, and both sites had greater abundances of diatom taxa, which are indicative of high nutrient concentrations, than of soft-algae taxa. Similarly, Wolf DS had relatively low macroinvertebrate diversity, the fewest Ephemeroptera, Plecoptera, and Trichoptera taxa, a high abundance of Tubificid taxa, and the lowest overall Mississippi-Benthic Index of Stream Quality score. Fish species richness was also relatively low at Wolf DS compared to some other sampled sites.
Habitat characteristics also appeared to be generally typical of most central Mississippi streams. Qualitative habitat assessment scores were at or above the regional least disturbed streams for Wolf DS, the upstream Wolf Creek (Wolf US) site, and Jones Creek. Habitat scores among the remaining sites indicate fair conditions. Quantitative and qualitative habitat characteristics indicate relatively lower habitat quality at the two Beasha Creek sites.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225090","collaboration":"Prepared in cooperation with the Mississippi Band of Choctaw Indians","usgsCitation":"Driver, L.J., Hicks, M.B., and Gill, A.C., 2022, Characterization of water quality, biology, and habitat of the Pearl River and selected tributaries contiguous to and within Tribal lands of the Pearl River Community of the Mississippi Band of Choctaw Indians, 2017–18: U.S. Geological Survey Scientific Investigations Report 2022–5090, 64 p., https://doi.org/10.3133/sir20225090.","productDescription":"Report: xi, 64 p.; Data Release; Dataset","numberOfPages":"80","onlineOnly":"Y","ipdsId":"IP-128827","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":409703,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BX5Z48","text":"USGS data release","linkHelpText":"Habitat and biological assemblage data of streams within Tribal lands of the Pearl River Community of the Mississippi Band of Choctaw Indians, 2017–18"},{"id":409699,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5090/coverthb.jpg"},{"id":409700,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5090/sir20225090.pdf","text":"Report","size":"2.39 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022–5090"},{"id":409701,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5090/sir20225090.XML"},{"id":409702,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5090/images"},{"id":409704,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the Nation"}],"country":"United States","state":"Mississippi","otherGeospatial":"Pearl River Community","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -89,\n 32.8667\n ],\n [\n -89.5,\n 32.8667\n ],\n [\n -89.5,\n 32.7333\n ],\n [\n -89,\n 32.7333\n ],\n [\n -89,\n 32.8667\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park, Suite 100
Nashville, TN 37211
The Petro-Chemical Systems, Inc. (Turtle Bayou), Superfund site is 15 miles southeast of Liberty, Texas, in Liberty County. Improper disposal of waste oils led to contamination of soil and groundwater at the site. In cooperation with the U.S. Environmental Protection Agency, the U.S. Geological Survey collected water-quality samples from 11 monitoring wells at the site, in particular the area near well MW-109A (the MW-109 area), in August and September 2020 and compared the water-quality results to the results from previous water-quality sampling events at the site in June 2016 and August 2018 with a focus on benzene concentrations. Contours of groundwater-level altitudes in the MW-109 area indicate that groundwater-flow direction is south-southeasterly in the eastern part and south-southwesterly in the western part.
Of the 51 volatile organic compounds analyzed, 13 were detected in groundwater samples from 1 or more wells. In all but 1 well, MW-109A, concentrations of these compounds were less than 100 micrograms per liter. Benzene is still the principal contaminant of concern, as it persists at concentrations exceeding 53,000 micrograms per liter, although naphthalene also appears to be a contaminant of concern, as it was detected at the greatest concentration of any semivolatile organic compound analyte (1,100 micrograms per liter in the sample from well MW-109A).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225104","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Braun, C.L., and Becher, K.D., 2022, Groundwater-level altitudes and groundwater-flow direction and nature and extent of volatile and semivolatile organic compounds at Petro-Chemical Systems, Inc. (Turtle Bayou), Superfund site, Liberty County, Texas, 2020: U.S. Geological Survey Scientific Investigations Report 2022–5104, 17 p., https://doi.org/10.3133/sir20225104.","productDescription":"Report: v, 17 p.; Data release","numberOfPages":"28","onlineOnly":"Y","ipdsId":"IP-135616","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":411892,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20225104/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":409695,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2022/5104/sir20225104.XML"},{"id":409693,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5104/coverthb.jpg"},{"id":409694,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5104/sir20225104.pdf","text":"Report","size":"1.56 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2022–5104"},{"id":409697,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GX8YU7","text":"USGS data release","linkHelpText":"Groundwater-level altitudes and volatile and semivolatile organic compound concentrations at the Petro-Chemical Systems, Inc. (Turtle Bayou) Superfund site, Liberty County, Texas, 2020"},{"id":409696,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2022/5104/images"}],"country":"United States","state":"Texas","county":"Liberty County","otherGeospatial":"Petro-Chemical Systems, Inc. (Turtle Bayou), Superfund site","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -94.7111,\n 29.9222\n ],\n [\n -94.7111,\n 29.9167\n ],\n [\n -94.6667,\n 29.9167\n ],\n [\n -94.6667,\n 29.9222\n ],\n [\n -94.7111,\n 29.9222\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Oklahoma-Texas Water Science Center
U.S. Geological Survey
1505 Ferguson Lane
Austin, TX 78754–4501
The Conservation Reserve Enhancement Program is a program administered by the U.S. Department of Agriculture’s Farm Service Agency. The Secretary of Agriculture is required to submit an annual report to Congress on Conservation Reserve Enhancement Program agreements that, among other things, reports on the progress made towards fulfilling commitments outlined in the agreements. The U.S. Geological Survey developed an online reporting form designed to ensure that consistent information is submitted to the Farm Service Agency from Conservation Reserve Enhancement Program State partners. Combined with the automated importation of text from partner-provided forms to word-processing documents, individual State reports and annual reports to Congress can now be produced efficiently and in a standardized format. Use of a standardized reporting format will also assist the Farm Service Agency in collecting information needed to support ecosystem service quantifications that go beyond the quantifications required from partners to document progress towards meeting the specific purposes and objectives identified in each agreement. Addition of these overarching conservation effect quantifications builds upon past ecosystem services modeling efforts based on the Integrated Valuation of Ecosystem Services and Tradeoffs suite of open-source software models; these offer a spatially explicit means to quantify additional ecosystem services across diverse partners in a consistent manner. Data sources are currently available to provide much of the information needed to run these models and complete simulations that would facilitate the quantification and reporting of the societal values of conservation actions taken under the Conservation Reserve Enhancement Program. It is the aim of this report to provide the information needed to move towards widescale monitoring of the Nation’s ecosystem services in a natural accounting framework, similar to the framework used to value financial and human capital.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221104","collaboration":"Prepared in cooperation with the U.S. Department of Agriculture’s Farm Production and Conservation Business Center and Farm Service Agency","usgsCitation":"Mushet, D.M., and McKenna, O.P., 2022, Development of an online reporting format to facilitate the inclusion of ecosystem services into Conservation Reserve Enhancement Program reports: U.S. Geological Survey Open-File Report 2022–1104, 19 p., https://doi.org/10.3133/ofr20221104.","productDescription":"Report: vi, 19 p.; 5 Appendixes","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-141507","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":409698,"rank":10,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20221104/full","text":"Report"},{"id":409675,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1104/coverthb.jpg"},{"id":409676,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1104/ofr20221104.pdf","text":"Report","size":"725 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2022–1104"},{"id":409677,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2022/1104/ofr20221104.XML"},{"id":409678,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2022/1104/ofr20221104_appendix1.pdf","text":"Appendix 1","description":"OFR 2022–1104, Appendix 1","linkHelpText":"—Farm Service Agency Notice Implementing Use of Online Reporting Form"},{"id":409679,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2022/1104/ofr20221104_appendix2.pdf","text":"Appendix 2","description":"OFR 2022–1104, Appendix 2","linkHelpText":"—A Guide for Completing Conservation Reserve Enhancement Program Annual Reports Using the New Online Reporting Form"},{"id":409681,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2022/1104/ofr20221104_appendix4.pdf","text":"Appendix 4","description":"OFR 2022–1104, Appendix 4","linkHelpText":"—Microsoft Word Mail Merge State Report Template"},{"id":409682,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2022/1104/ofr20221104_appendix5.pdf","text":"Appendix 5","description":"OFR 2022–1104, Appendix 5","linkHelpText":"—Draft Text Produced for 2020 Report to Congress"},{"id":409683,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2022/1104/ofr20221104_appendix6.pdf","text":"Appendix 6","description":"OFR 2022–1104, Appendix 6","linkHelpText":"—Draft Text Produced for 2021 Report to Congress"},{"id":409687,"rank":9,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2022/1104/images"}],"contact":"Director, Northern Prairie Wildlife Research Center
U.S. Geological Survey
8711 37th Street Southeast
Jamestown, ND 58401
Although there is extensive evidence of declines in the American Kestrel (Falco sparverius) population across North America, the cause of such declines remains a mystery. One hypothesized driver of decline is anticoagulant rodenticide (AR) exposure, which could potentially cause mortality or reduced fitness. We investigated AR exposure in wild American Kestrels in Utah, USA. We collected and tested for AR residues in liver samples (n = 8) from kestrels opportunistically encountered dead and in blood samples (n = 71) from live wild kestrels, both nestlings and adults. We found high detection rates in both tissues. Adult kestrels were more likely to exhibit exposure than juveniles sampled in nests. Three-quarters (six of eight) of tested liver samples from adult kestrels exhibited evidence of AR exposure. Additionally, liver samples (n = 19) opportunistically collected from seven species of raptors within our study area had detectable levels of AR residues, with seven of eight raptor species evidencing exposure; across all raptors, five ARs were detected in liver samples, with brodifacoum the most prevalent, being found in over half (14 of 27) of samples. Over half (7 of 12) of the blood samples from adult kestrels had detectible levels of ARs, while only one of 59 juvenile nest samples tested positive. The difference in exposure rates between adults and juveniles could indicate differential exposure pathways by age class. Based on these findings, we recommend that ARs be further investigated as a potential cause of kestrel declines. Future research could focus on expanding sampling to provide sufficient sample sizes to test for potential nonlethal effects of AR exposure (e.g., fecundity, nesting success), identifying potential exposure pathways, and developing methods for passive sampling of ARs in excreta.
","language":"English","publisher":"BioOne","doi":"10.3356/JRR-22-18","usgsCitation":"Buechley, E.R., Oleyar, D., Watson, J., Bridgeman, J., Volker, S., Goldade, D.A., Swift, C.E., and Rattner, B.A., 2022, Preliminary evidence of anticoagulant rodenticide exposure in American kestrels (Falco sparverius) in the western United States: Journal of Raptor Research, v. 57, no. 2, 11 p., https://doi.org/10.3356/JRR-22-18.","productDescription":"11 p.","ipdsId":"IP-137518","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":409788,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -112.7171265349214,\n 41.72856999995494\n ],\n [\n -112.7171265349214,\n 39.7315850693289\n ],\n [\n -111.00398688405573,\n 39.7315850693289\n ],\n [\n -111.00398688405573,\n 41.72856999995494\n ],\n [\n -112.7171265349214,\n 41.72856999995494\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"57","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Buechley, Evan R.","contributorId":299452,"corporation":false,"usgs":false,"family":"Buechley","given":"Evan","email":"","middleInitial":"R.","affiliations":[{"id":64849,"text":"Smithsonian Conservaiton Biology Institute","active":true,"usgs":false}],"preferred":false,"id":857836,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oleyar, Dave","contributorId":299453,"corporation":false,"usgs":false,"family":"Oleyar","given":"Dave","email":"","affiliations":[{"id":35596,"text":"HawkWatch International","active":true,"usgs":false}],"preferred":false,"id":857905,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watson, Jesse","contributorId":243506,"corporation":false,"usgs":false,"family":"Watson","given":"Jesse","email":"","affiliations":[],"preferred":false,"id":857906,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bridgeman, Jennifer","contributorId":299455,"corporation":false,"usgs":false,"family":"Bridgeman","given":"Jennifer","email":"","affiliations":[{"id":35596,"text":"HawkWatch International","active":true,"usgs":false}],"preferred":false,"id":857907,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Volker, Steven","contributorId":299456,"corporation":false,"usgs":false,"family":"Volker","given":"Steven","affiliations":[{"id":64850,"text":"USDA, APHIS","active":true,"usgs":false}],"preferred":false,"id":857908,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Goldade, David A.","contributorId":299457,"corporation":false,"usgs":false,"family":"Goldade","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":64850,"text":"USDA, APHIS","active":true,"usgs":false}],"preferred":false,"id":857909,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Swift, Catherine E.","contributorId":299495,"corporation":false,"usgs":false,"family":"Swift","given":"Catherine","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":857910,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rattner, Barnett A. 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":4142,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":857911,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70238753,"text":"70238753 - 2022 - Ordovician geology of Alaska","interactions":[],"lastModifiedDate":"2022-12-07T12:36:32.458661","indexId":"70238753","displayToPublicDate":"2022-11-28T06:32:58","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1791,"text":"Geological Society, London, Special Publications","active":true,"publicationSubtype":{"id":10}},"title":"Ordovician geology of Alaska","docAbstract":"White-nose syndrome has been decimating populations of several bat species since its first occurrence in the Northeastern United States in the winter 2006–2007. The spread of the disease has been monitored across the continent through the collaboration of many organizations. Inferring the rate of spread of the disease and predicting its arrival at new locations is critical when assessing the current and predicting the future status and trends of bat species. We developed a model of disease spread that simultaneously achieves high-predictive performance, computational efficiency, and interpretability. We modeled white-nose syndrome spread using Gaussian process variations to infer the spread rate of the disease front, identify areas of anomalous time of arrival, and provide future forecasts of the expected time of arrival throughout North America. Cross-validation of model predictive performance identified a stationary Gaussian process without an additional residual error process as the best-supported model. Results indicated that white-nose syndrome is likely to spread throughout the entire continental United States by 2030. These annually updatable model predictions will be useful in determining the horizon over which disease management actions must take place as well as in status and trend assessments of disease-affected bats.