{"pageNumber":"81","pageRowStart":"2000","pageSize":"25","recordCount":10450,"records":[{"id":70228355,"text":"70228355 - 2019 - Using an individual-based model to assess common biases in lek-based count data to estimate population trajectories of lesser prairie-chickens","interactions":[],"lastModifiedDate":"2022-02-09T19:58:18.2157","indexId":"70228355","displayToPublicDate":"2019-05-17T13:52:38","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Using an individual-based model to assess common biases in lek-based count data to estimate population trajectories of lesser prairie-chickens","docAbstract":"Researchers and managers are often interested in monitoring the underlying state of a population (e.g., abundance), yet error in the observation process might mask underlying changes due to imperfect detection, availability for sampling, and heterogeneity in abundance. Additional heterogeneity can be introduced into a monitoring program when male-based surveys are used as an index for the total population. Often, male-based surveys are used for lekking species, as males are conspicuous and more easily monitored when lekking than females. To determine if lek surveys capture changes or trends in population abundance based on female survival and reproduction, we developed a virtual ecologist approach using the lesser prairie-chicken (Tympanuchus pallidicinctus) as an example. Our approach used an individual-based model to simulate lek counts based on female vital rate data from lesser prairie-chickens, included models where detection probability and lek attendance were <1, and analyzed using unadjusted counts and an N-mixture model to compare estimates of population abundance and growth rates. When lek attendance rates were <1, the estimate of abundance was biased low, even when using N-mixture models to account for detection probability. Additionally, using lek counts to estimate population growth rates without accounting for detection probability consistently overestimated population growth rates, indicating a stable population when the population was decreasing. Our results therefore suggest that lek-based surveys used without accounting for lek attendance and detection probability may miss important trends in population changes. Rather than population-level inference, lek-based surveys not accounting for lek attendance and detection probability may instead be better for inferring broad-scale range shifts of lesser prairie-chicken populations in a presence/absence framework.","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0217172","usgsCitation":"Ross, B., Sullins, D.S., and Haukos, D.A., 2019, Using an individual-based model to assess common biases in lek-based count data to estimate population trajectories of lesser prairie-chickens: PLoS ONE, 0217172, 17 p., https://doi.org/10.1371/journal.pone.0217172.","productDescription":"0217172, 17 p.","ipdsId":"IP-098683","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":467613,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0217172","text":"Publisher Index Page"},{"id":395719,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2019-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Ross, Beth 0000-0001-5634-4951 bross@usgs.gov","orcid":"https://orcid.org/0000-0001-5634-4951","contributorId":199242,"corporation":false,"usgs":true,"family":"Ross","given":"Beth","email":"bross@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":833920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sullins, Daniel S.","contributorId":275280,"corporation":false,"usgs":false,"family":"Sullins","given":"Daniel","email":"","middleInitial":"S.","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":833921,"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":833922,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70203788,"text":"70203788 - 2019 - Encylopedia of Caves","interactions":[],"lastModifiedDate":"2019-06-13T09:00:59","indexId":"70203788","displayToPublicDate":"2019-05-16T08:59:45","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Encylopedia of Caves","docAbstract":"For many people, a visit to a cave is a wondrous event directing our minds to ponder the mysteries presented by these unique places\nand inspiring questions: How old is the cave? What was the role of water in forming the cave and where did the water come from?\nHow is the cave connected to the surface environment? These are intriguing questions to ask, and karst scientists use isotope\ngeochemistry to help solve these mysteries.\nIsotopes are atoms of the same chemical element that have the same number of protons but vary in their number of neutrons. As a\nresult of their atomic mass difference, isotopes of a single element may exhibit slightly different chemical behavior. Radioisotopes are\nunstable and the nucleus of a parent isotope will spontaneously break apart (decay), releasing energy and changing into another element\n(daughter product) by loss or gain of protons, neutrons, or electrons. Stable isotopes, as implied by the name, are stable and do not\nspontaneously decay. These two types of isotopes are used widely by scientists to understand ancient and modern karst systems.\nGenerally, radioisotopes are used for absolute dating karst water, cave sediments, cave formations (speleothems), and other\nmaterial preserved in caves (such as bones). Stable isotopes can provide information about relative ages of cave water and speleothems.\nAn absolute age provides a numeric date—such as 100,000 years old—whereas a relative age provides information that\nsomething is older or younger than something else—such as cave art is younger than a speleothem found in the same cave. Stable\nisotopes are used to study ancient karst systems because isotopic signals of past climate (paleoclimate) and environmental conditions\n(paleoenvironment) are preserved in speleothems and sediments. Stable isotopes are also used to understand modern\nsystems, primarily through studies that distinguish sources of karst water, cave air, or contaminants, mixing of those sources,\nand biologic or chemical reactions that process compounds, such as breakdown of contaminants or organic matter.\nThe variation in mass among isotopes is small, and isotope abundances are measured as a ratio of a common isotope to its less\ncommon isotopic counterparts (stable isotopes) or the abundance of a parent compared to daughter isotope (radioisotopes). As an\nexample, hydrogen (H) has three naturally occurring isotopes. Most H comprises one proton (1H), but the rarer stable isotope\n(called deuterium) comprises one proton and one neutron (2H), and the radioisotope (called tritium) comprises one proton\nand two neutrons (3H). Because scientists use the minute differences in isotopes to test hypotheses, a scientist must understand\nthe accuracy, precision, and error of the available methods, the assumptions about the chemical conditions of interest, and the\nlimitations of the isotopic method being used. Many isotopic studies employ multiple isotopic tracers to better leverage the\nstrengths and offset the limitations of using a single isotope. This article focuses on isotopes used to study the geology and\nhydrology of caves, but much additional isotopic work has been used to characterize the biology of caves.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of Caves","largerWorkSubtype":{"id":14,"text":"Instruction"},"language":"English","publisher":"Elsevier","isbn":"9780128141243","usgsCitation":"Knierim, K.J., and Hays, P.D., 2019, Encylopedia of Caves, chap. <i>of</i> Encyclopedia of Caves, p. 567-575.","productDescription":"9 p.","startPage":"567","endPage":"575","ipdsId":"IP-094092","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":364629,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364610,"type":{"id":15,"text":"Index Page"},"url":"https://www.elsevier.com/books/encyclopedia-of-caves/white/978-0-12-814124-3"}],"edition":"3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Knierim, Katherine J. 0000-0002-5361-4132 kknierim@usgs.gov","orcid":"https://orcid.org/0000-0002-5361-4132","contributorId":191788,"corporation":false,"usgs":true,"family":"Knierim","given":"Katherine","email":"kknierim@usgs.gov","middleInitial":"J.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":764132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hays, Phillip D. 0000-0001-5491-9272 pdhays@usgs.gov","orcid":"https://orcid.org/0000-0001-5491-9272","contributorId":4145,"corporation":false,"usgs":true,"family":"Hays","given":"Phillip","email":"pdhays@usgs.gov","middleInitial":"D.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":764133,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70203460,"text":"70203460 - 2019 - Assessment of coal mine methane (CMM) and abandoned mine methane (AMM) resource potential of longwall mine panels: example from Northern Appalachian Basin, USA","interactions":[],"lastModifiedDate":"2019-05-15T15:06:14","indexId":"70203460","displayToPublicDate":"2019-05-15T14:42:39","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of coal mine methane (CMM) and abandoned mine methane (AMM) resource potential of longwall mine panels: example from Northern Appalachian Basin, USA","docAbstract":"\"Coal mine methane (CMM) and abandoned mine methane (AMM), are by-products of underground coal mining. The quantity and the emission rate of CMM and AMM may vary depending on the type of mine, gas content of the mined coal seam, and gas sourced from strata and coal beds in overlying and underlying formations affected by mining. Therefore, if a mine has the potential of accumulating gas after being abandoned and sealed properly, methane may be produced and used as an energy source to serve to local communities around the mine. Producing AMM also prevents methane, which is a potent greenhouse gas, from leaking to the atmosphere through seals, shaft plugs or surface cracks.  \nOne of the technical barriers in front of investments to economical utilization of CMM and AMM is the difficulty to predict how much methane may be available in the gas emission zone (GEZ) as a resource during mining, and after the panels are sealed and the mine is abandoned. Another difficulty is to estimate how much of the potential methane resource can be produced, and its production feasibility with boreholes, such as gob gas ventholes (GGV) converted to capture AMM.\nIn this study, a comparative assessment is presented to address the issues stated above. The assessment was conducted on two adjacent panels of a longwall mine that operated until 2016 in the Pennsylvania section of the Northern Appalachian Basin. The study is based on two approaches that might be used depending on the availability of data, extensive or minimal.  The first approach uses an extensive geological data set, geostatistics, and measured shaft gas emission and GGV production values that were collected while the panel(s) were active to assess the AMM resource. The second approach uses a minimal amount of geologic data and its uncertainty as probabilistic distributions as well as predicted during-mining emissions using a publicly available software. Results showed that both approaches provide relatively comparable estimates of AMM resources and AMM recovery potential using wellbores. The differences in assessed quantities are mostly due to the characteristics of the two methods. In that regard, this paper can be considered as guidance to choose the assessment approach based on data availability.\n\"","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2019.04.005","collaboration":"none","usgsCitation":"Karacan, C.O., and Warwick, P., 2019, Assessment of coal mine methane (CMM) and abandoned mine methane (AMM) resource potential of longwall mine panels: example from Northern Appalachian Basin, USA: International Journal of Coal Geology, v. 208, p. 37-53, https://doi.org/10.1016/j.coal.2019.04.005.","productDescription":"17 p.","startPage":"37","endPage":"53","ipdsId":"IP-103342","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":363934,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Northern Appalachian Basin","volume":"208","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Karacan, C. Ozgen 0000-0002-0947-8241","orcid":"https://orcid.org/0000-0002-0947-8241","contributorId":201991,"corporation":false,"usgs":true,"family":"Karacan","given":"C.","email":"","middleInitial":"Ozgen","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":762770,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warwick, Peter D. 0000-0002-3152-7783","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":205928,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":762771,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70208939,"text":"70208939 - 2019 - Investigating (a)symmetry in a small mammal’s response to warmingand cooling events across western North America over the late Quaternary","interactions":[],"lastModifiedDate":"2020-03-06T06:54:36","indexId":"70208939","displayToPublicDate":"2019-05-15T06:52:26","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"Investigating (a)symmetry in a small mammal’s response to warmingand cooling events across western North America over the late Quaternary","docAbstract":"Many mammalian populations conform spatially and temporally to Bergmann’s rule. This ecogeographic pattern is driven by selection for larger body masses by cooler temperatures and smaller ones by warming temperatures. However, it is unclear whether the response to warming or cooling temperatures is (a)symmetrical. Studies of the evolutionary record suggest that\nmammals evolve smaller body sizes more rapidly than larger ones, suggesting that it may be “easier” to adapt to warmingclimates than cooling ones. Here, we examine the potential asymmetrical response of mammals to past temperature fluctuations.We use the fossil midden record of the bushy-tailed woodrat, Neotoma cinerea, a well-studied animal that generally\nconforms to Bergmann’s rule, to test the ability of populations to respond to warming versus cooling climate throughout its modern range in western North America over the late Quaternary.We quantified the response to temperature change, as characterized by the Greenland Ice Sheet Project 2 temperature record, using N. cinerea presence/absence and “darwins.” Ourresults show that populations within the modern range of N. cinerea show little difference between warming and cooling events. However, northern, peripheral populations are absent during older, cooler periods, possibly due to climate or taphonomy. Our study suggests adaptation in situ may be an underestimated response to future climate change.","language":"English","publisher":"Cambridge University Press","doi":"10.1017/qua.2019.13","usgsCitation":"Balk, M.A., Betancourt, J.L., and Smith, F.A., 2019, Investigating (a)symmetry in a small mammal’s response to warmingand cooling events across western North America over the late Quaternary: Quaternary Research, v. 92, no. 2, p. 408-415, https://doi.org/10.1017/qua.2019.13.","productDescription":"8 p.","startPage":"408","endPage":"415","ipdsId":"IP-090948","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":372988,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {\n        \"stroke\": \"#555555\",\n        \"stroke-width\": 2,\n        \"stroke-opacity\": 1,\n        \"fill\": \"#555555\",\n        \"fill-opacity\": 0.5\n      },\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -125.85937499999999,\n              36.73888412439431\n            ],\n            [\n              -97.91015624999999,\n              10.833305983642491\n            ],\n            [\n              -77.6953125,\n              8.75479470243563\n            ],\n            [\n              -79.27734375,\n              26.115985925333536\n            ],\n            [\n              -47.8125,\n              49.49667452747047\n            ],\n            [\n              -87.53906250000001,\n              69.83962194067463\n            ],\n            [\n              -137.109375,\n              70.61261423801925\n            ],\n            [\n              -161.54296875,\n              71.58053179556501\n            ],\n            [\n              -165.234375,\n              65.07213008560697\n            ],\n            [\n              -160.3125,\n              56.17002298293205\n            ],\n            [\n              -135.703125,\n              57.70414723434193\n            ],\n            [\n              -125.85937499999999,\n              36.73888412439431\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"92","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Balk, Meghan A.","contributorId":223098,"corporation":false,"usgs":false,"family":"Balk","given":"Meghan","email":"","middleInitial":"A.","affiliations":[{"id":40673,"text":"Smithsonian Institution, National Museum of Natural History","active":true,"usgs":false}],"preferred":false,"id":784109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":784108,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Felisa A.","contributorId":194657,"corporation":false,"usgs":false,"family":"Smith","given":"Felisa","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":784110,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70203527,"text":"70203527 - 2019 - Linking management planning for coastal wetlands to potential future wave attenuation under a range of relative sea-level rise scenarios","interactions":[],"lastModifiedDate":"2019-08-16T11:55:03","indexId":"70203527","displayToPublicDate":"2019-05-14T08:32:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Linking management planning for coastal wetlands to potential future wave attenuation under a range of relative sea-level rise scenarios","docAbstract":"<div class=\"abstract toc-section\"><p>Understanding changes in wave attenuation by emergent vegetation as wetlands degrade or accrete over time is crucial for incorporation of wetlands into holistic coastal risk management. Linked SLAMM and XBeach models were used to investigate potential future changes in wave attenuation over a 50-year period in a degrading, subtropical wetland and a prograding, temperate wetland. These contrasting systems also have differing management contexts and were contrasted to demonstrate how the linked models can provide management-relevant insights. Morphological development of wetlands for different scenarios of sea-level rise and accretion was simulated with SLAMM and then coupled with different vegetation characteristics to predict the influence on future wave attenuation using XBeach. The geomorphological context, subsidence, and accretion resulted in large predicted reductions in the extent of vegetated land (e.g., wetland) and changes in wave height reduction potential across the wetland. These were exacerbated by increases in sea-level from +0.217 m to +0.386 m over a 50-year period, especially at the lowest accretion rates in the degrading wetland. Mangrove vegetation increased wave attenuation within the degrading, subtropical, saline wetland, while grazing reduced wave attenuation in the temperate, prograding wetland. Coastal management decisions and actions, related to coastal vegetation type and structure, have the potential to change future wave attenuation at a spatial scale relevant to coastal protection planning. Therefore, a coastal management approach that includes disaster risk reduction, biodiversity, and climate change, can be informed by coastal modeling tools, such as those demonstrated here for two contrasting case studies.</p></div>","language":"English","publisher":"PLoS ONE","doi":"10.1371/journal.pone.0216695","usgsCitation":"Hijuelos, A., Dijkstra, J., Carruthers, T., Heynert, K., Reed, D., and van Wesenbeeck, B., 2019, Linking management planning for coastal wetlands to potential future wave attenuation under a range of relative sea-level rise scenarios: PLoS ONE, v. 14, no. 5, p. 1-19, https://doi.org/10.1371/journal.pone.0216695.","productDescription":"19 p.","startPage":"1","endPage":"19","ipdsId":"IP-097253","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":467617,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0216695","text":"Publisher Index Page"},{"id":364019,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"5","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Hijuelos, Ann 0000-0003-0922-6754","orcid":"https://orcid.org/0000-0003-0922-6754","contributorId":215694,"corporation":false,"usgs":true,"family":"Hijuelos","given":"Ann","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":763011,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dijkstra, Jasper","contributorId":215695,"corporation":false,"usgs":false,"family":"Dijkstra","given":"Jasper","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":763012,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carruthers, Tim J. B.","contributorId":140566,"corporation":false,"usgs":false,"family":"Carruthers","given":"Tim J. B.","affiliations":[],"preferred":false,"id":763013,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heynert, Karel","contributorId":215696,"corporation":false,"usgs":false,"family":"Heynert","given":"Karel","email":"","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":763014,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reed, Denise","contributorId":215697,"corporation":false,"usgs":false,"family":"Reed","given":"Denise","affiliations":[{"id":37245,"text":"University of New Orleans","active":true,"usgs":false}],"preferred":false,"id":763015,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"van Wesenbeeck, Bregje","contributorId":215698,"corporation":false,"usgs":false,"family":"van Wesenbeeck","given":"Bregje","email":"","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":763016,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70204238,"text":"70204238 - 2019 - A comparison of chlorophyll a values obtained from an autonomous underwater vehicle to satellite-based measures for Lake Michigan","interactions":[],"lastModifiedDate":"2019-08-13T15:39:03","indexId":"70204238","displayToPublicDate":"2019-05-10T10:18:22","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of chlorophyll a values obtained from an autonomous underwater vehicle to satellite-based measures for Lake Michigan","docAbstract":"<p>Accurate methods to track changes in lake productivity through time and space are critical to fisheries management. Chlorophyll <i>a</i> is the most widely studied proxy for ecosystem primary production, and has been the topic of many studies. The main sources of chlorophyll <i>a</i> measurements are ship-based measures or multi-spectral satellite data. Autonomous underwater vehicles can survey large spatial extents approaching the scale of satellite data, but with the accuracy of ship-based water sampling methods. We use several statistical measures to compare measures of chlorophyll <i>a</i> collected in Lake Michigan with spatiotemporally matched satellite-derived measures of chlorophyll <i>a</i> from the MODIS Aqua multi-spectral sensor using NASA’s OC3 and the Great Lakes Fit algorithms. Our findings show a near one to one relationship between AUV data and both satellite-derived data sets when the AUV data are coarsened to the resolution of the satellite data. A comparison of satellite-based chlorophyll <i>a</i> to AUV-derived chlorophyll summarized in discrete water depth bins suggested that, based on decreasing coefficients of determination, satellite estimates of chlorophyll accounted for the most variability in chlorophyll <i>a</i> concentrations in the upper 10 m of the water column, even though satellite sensors may detect past this depth.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2019.04.003","usgsCitation":"Bennion, D., Warner, D., Esselman, P., Hobson, B., and Kieft, B., 2019, A comparison of chlorophyll a values obtained from an autonomous underwater vehicle to satellite-based measures for Lake Michigan: Journal of Great Lakes Research, v. 45, no. 4, p. 726-734, https://doi.org/10.1016/j.jglr.2019.04.003.","productDescription":"9 p.","startPage":"726","endPage":"734","ipdsId":"IP-096378","costCenters":[{"id":324,"text":"Great Lakes Science 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,{"id":70208622,"text":"70208622 - 2019 - State of knowledge on current exposure, fate and potential health effects of contaminants in polar bears from the circumpolar Arctic","interactions":[],"lastModifiedDate":"2020-02-21T10:48:40","indexId":"70208622","displayToPublicDate":"2019-05-10T07:05:48","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5331,"text":"Science of Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"State of knowledge on current exposure, fate and potential health effects of contaminants in polar bears from the circumpolar Arctic","docAbstract":"<div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0010\">The polar bear (<i>Ursus maritimus</i><span>) is among the Arctic species exposed to the highest concentrations of long-range transported bioaccumulative contaminants, such as halogenated organic compounds and mercury. Contaminant exposure is considered to be one of the largest threats to polar bears after the loss of their Arctic sea ice habitat due to climate change. The aim of this review is to provide a comprehensive summary of current exposure, fate, and potential health effects of contaminants in polar bears from the circumpolar Arctic required by the Circumpolar Action Plan for polar bear conservation. Overall results suggest that legacy persistent organic pollutants (POPs) including polychlorinated biphenyls,&nbsp;chlordanes&nbsp;and perfluorooctane&nbsp;sulfonic acid&nbsp;(PFOS), followed by other perfluoroalkyl compounds (e.g.&nbsp;carboxylic acids, PFCAs) and brominated&nbsp;flame retardants, are still the main compounds in polar bears. Concentrations of several legacy POPs that have been banned for decades in most parts of the world have generally declined in polar bears. Current spatial trends of contaminants vary widely between compounds and recent studies suggest increased concentrations of both POPs and PFCAs in certain subpopulations. Correlative field studies, supported by in vitro studies, suggest that contaminant exposure disrupts circulating levels of thyroid hormones and&nbsp;lipid metabolism, and alters neurochemistry in polar bears. Additionally, field and in vitro studies and risk assessments indicate the potential for adverse impacts to polar bear immune functions from exposure to certain contaminants.</span></p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2019.02.030","usgsCitation":"Routti, H., Atwood, T.C., Bechshoft, T., Boltunov, A.N., Ciesielski, T.M., Desforges, J., Dietz, R., Gabrielsen, G.W., Jenssen, B.M., Letcher, R., McKinney, M.A., Morris, A., Riget, F., Sonne, C., Styrishave, B., and Tartu, S., 2019, State of knowledge on current exposure, fate and potential health effects of contaminants in polar bears from the circumpolar Arctic: Science of Total Environment, v. 664, p. 1063-1083, https://doi.org/10.1016/j.scitotenv.2019.02.030.","productDescription":"21 p.","startPage":"1063","endPage":"1083","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":467625,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2019.02.030","text":"Publisher Index Page"},{"id":372491,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Arctic ","volume":"664","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Routti, Heli","contributorId":56879,"corporation":false,"usgs":false,"family":"Routti","given":"Heli","email":"","affiliations":[{"id":7238,"text":"Norwegian Polar Institute","active":true,"usgs":false}],"preferred":false,"id":782771,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":782772,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bechshoft, Thea","contributorId":222646,"corporation":false,"usgs":false,"family":"Bechshoft","given":"Thea","email":"","affiliations":[],"preferred":false,"id":782773,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boltunov, Andrei N.","contributorId":98682,"corporation":false,"usgs":false,"family":"Boltunov","given":"Andrei","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":782774,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ciesielski, Tomasz M.","contributorId":218350,"corporation":false,"usgs":false,"family":"Ciesielski","given":"Tomasz","email":"","middleInitial":"M.","affiliations":[{"id":39813,"text":"Department of Biology, Norwegian University of Science and Technology","active":true,"usgs":false}],"preferred":false,"id":782775,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Desforges, Jean-Pierre","contributorId":218342,"corporation":false,"usgs":false,"family":"Desforges","given":"Jean-Pierre","email":"","affiliations":[{"id":39808,"text":"Aarhus University, Arctic Research Centre (ARC), Department of Bioscience","active":true,"usgs":false}],"preferred":false,"id":782776,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dietz, Rune","contributorId":41741,"corporation":false,"usgs":true,"family":"Dietz","given":"Rune","affiliations":[],"preferred":false,"id":782777,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gabrielsen, Geir W.","contributorId":57688,"corporation":false,"usgs":false,"family":"Gabrielsen","given":"Geir","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":782778,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jenssen, Bjorn Munro","contributorId":218354,"corporation":false,"usgs":false,"family":"Jenssen","given":"Bjorn","email":"","middleInitial":"Munro","affiliations":[{"id":39816,"text":"University of Science and Technology, University Centre in Svalbard, Aarhus University","active":true,"usgs":false}],"preferred":false,"id":782779,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Letcher, Robert J.","contributorId":25292,"corporation":false,"usgs":true,"family":"Letcher","given":"Robert J.","affiliations":[],"preferred":false,"id":782780,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McKinney, Melissa A.","contributorId":11496,"corporation":false,"usgs":false,"family":"McKinney","given":"Melissa","email":"","middleInitial":"A.","affiliations":[{"id":6619,"text":"University of Connecticutt","active":true,"usgs":false}],"preferred":false,"id":782781,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Morris, A.","contributorId":30520,"corporation":false,"usgs":true,"family":"Morris","given":"A.","affiliations":[],"preferred":false,"id":782782,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Riget, F.","contributorId":13020,"corporation":false,"usgs":true,"family":"Riget","given":"F.","affiliations":[],"preferred":false,"id":782783,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sonne, Christian","contributorId":28527,"corporation":false,"usgs":true,"family":"Sonne","given":"Christian","affiliations":[],"preferred":false,"id":782784,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Styrishave, Bjarne","contributorId":218358,"corporation":false,"usgs":false,"family":"Styrishave","given":"Bjarne","email":"","affiliations":[{"id":39818,"text":"Department of Pharmacy University of Copenhagen","active":true,"usgs":false}],"preferred":false,"id":782785,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Tartu, Sabrina","contributorId":218359,"corporation":false,"usgs":false,"family":"Tartu","given":"Sabrina","email":"","affiliations":[{"id":7238,"text":"Norwegian Polar Institute","active":true,"usgs":false}],"preferred":false,"id":782786,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70202744,"text":"ofr20191029 - 2019 - Spatial integration of biological and social objectives to identify priority landscapes for waterfowl habitat conservation","interactions":[],"lastModifiedDate":"2024-03-04T18:47:33.875141","indexId":"ofr20191029","displayToPublicDate":"2019-05-08T12:45:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1029","displayTitle":"Spatial Integration of Biological and Social Objectives to Identify Priority Landscapes for Waterfowl Habitat Conservation","title":"Spatial integration of biological and social objectives to identify priority landscapes for waterfowl habitat conservation","docAbstract":"<p>Waterfowl population management and habitat conservation compose one of the oldest and most successful adaptive management frameworks in the world. Since its inception, the North American Waterfowl Management Plan (NAWMP) has emphasized strategically targeted conservation investments in regions that most affect waterfowl population dynamics. By 2012, regional conservation had progressively become more science-based and strategic: many migratory bird partnerships had initiated or completed projects on mapping and modeling waterfowl distribution and abundances using geospatial techniques. However, when developing a map depicting and titled “Areas of Greatest Continental Significance to North American Ducks, Geese, and Swans” for the 2012 NAWMP Revision, waterfowl professionals articulated the need for improved decision frameworks and use of consistent datasets for refining large-scale spatial products depicting priority areas for waterfowl and people. This report describes a framework for developing a spatial value model to support the identification of North American geographies of importance to waterfowl during the breeding and non-breeding periods and to resource users who could potentially support (financially and (or) politically) waterfowl habitat conservation. Objectives used to identify priority geographies were determined through a collaborative process of the NAWMP Science Support Team, Priority Landscapes Committee (PLC), and other experts in the fields of waterfowl biology and ecology, environmental science, and human dimensions. ArcGIS Desktop was used as the platform for managing, analyzing, combining and displaying the spatial data as well as producing new data through spatial analysis functions. Thirty-eight spatial layers were developed, and several composite spatially explicit products (maps of North America) were produced based on PLC recommendations. The composite products have extensive similarities to the 2012 NAWMP map depicting areas of greatest continental significance to North American waterfowl. There are also some differences, especially in regions of the high Arctic and in Mexico. These differences between spatial value model maps and the 2012 NAWMP output likely arose from inclusion of social objectives, reduced dependence on expert opinion to generate abundance estimates, lack of population surveys in some regions and availability of expanded survey data in other regions, and use of model-based waterfowl population estimates for some unsurveyed areas.</p><p>The structured decision-making framework application in this study is discussed, and the appropriate use of the products and their limitations are outlined. Additionally, options for future improvements are presented by identifying gaps in data collection, waterfowl-habitat association assumptions, and uncertainties related to social objectives. These spatial products are intended for use by national, regional, and province/state level wildlife professionals to aid their decisions in targeting waterfowl habitat conservation.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191029","usgsCitation":"Krainyk, A., Lyons, J.E., Brasher, M.G., Humburg, D.D., Soulliere, G.J., Coluccy, J.M., Petrie, M.J., Howerter, D.W., Slattery, S.M., Rice, M.B., and Fuller, J.C., 2019, Spatial integration of biological and social objectives to identify priority landscapes for waterfowl habitat conservation: U.S. Geological Survey Open-File Report 2019–1029, 41 p., https://doi.org/10.3133/ofr20191029.","productDescription":"Document: vii, 41 p.; Additional Report Piece; Data Release","numberOfPages":"53","ipdsId":"IP-100747","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":363506,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9L7J5U4","text":"USGS data release","description":"USGS data release","linkHelpText":"Spatial Integration of Biological and Social Objectives to Identify Priority Landscapes for Waterfowl Habitat Conservation"},{"id":363574,"rank":3,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/of/2019/1029/ofr20191029_supplementalinformation.pdf","text":"Supplemental Information","size":"5.41 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":363503,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1029/coverthb2.jpg"},{"id":363504,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1029/ofr20191029.pdf","text":"Report","size":"30.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1029"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/eesc\" data-mce-href=\"https://www.usgs.gov/centers/eesc\">Eastern Ecological Science Center</a><br>U.S. Geological Survey<br>12100 Beech Forest Road, Ste 4039<br>Laurel, MD 20708</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Benefits, Limitations, and the Future</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Members of the Priority Landscapes Committee</li><li>Appendix 2. Purpose and Function of Priority Landscapes Committee</li><li>Appendix 3. Means-Ends Network Diagram of Waterfowl Habitat Conservation Decision Context</li><li>Appendix 4. Biological Objectives: Duck Species Objectives Hierarchy</li><li>Appendix 5. Biological Objectives: Goose and Swan Species Objectives Hierarchy</li><li>Appendix 6. Social Objectives Hierarchy</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2019-05-08","noUsgsAuthors":false,"publicationDate":"2019-05-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Krainyk, Anastasia 0000-0002-3100-9011","orcid":"https://orcid.org/0000-0002-3100-9011","contributorId":214391,"corporation":false,"usgs":true,"family":"Krainyk","given":"Anastasia","email":"","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":759769,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyons, James E. 0000-0002-9810-8751","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":214392,"corporation":false,"usgs":true,"family":"Lyons","given":"James E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":759770,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brasher, Michael G.","contributorId":214393,"corporation":false,"usgs":false,"family":"Brasher","given":"Michael","email":"","middleInitial":"G.","affiliations":[{"id":36215,"text":"Ducks Unlimited","active":true,"usgs":false}],"preferred":false,"id":759771,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Humburg, Dale D.","contributorId":79357,"corporation":false,"usgs":false,"family":"Humburg","given":"Dale","email":"","middleInitial":"D.","affiliations":[{"id":13073,"text":"Ducks Unlimited, Inc.","active":true,"usgs":false}],"preferred":false,"id":759772,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Souilliere, Greg J.","contributorId":214394,"corporation":false,"usgs":false,"family":"Souilliere","given":"Greg","email":"","middleInitial":"J.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":759773,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Coluccy, John M.","contributorId":214395,"corporation":false,"usgs":false,"family":"Coluccy","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":36215,"text":"Ducks Unlimited","active":true,"usgs":false}],"preferred":false,"id":759774,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Petrie, Mark J.","contributorId":214396,"corporation":false,"usgs":false,"family":"Petrie","given":"Mark","email":"","middleInitial":"J.","affiliations":[{"id":36215,"text":"Ducks Unlimited","active":true,"usgs":false}],"preferred":false,"id":759775,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Howerter, David W.","contributorId":214397,"corporation":false,"usgs":false,"family":"Howerter","given":"David","email":"","middleInitial":"W.","affiliations":[{"id":7182,"text":"Ducks Unlimited Canada","active":true,"usgs":false}],"preferred":false,"id":759776,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Slattery, Stuart M.","contributorId":214398,"corporation":false,"usgs":false,"family":"Slattery","given":"Stuart","email":"","middleInitial":"M.","affiliations":[{"id":7182,"text":"Ducks Unlimited Canada","active":true,"usgs":false}],"preferred":false,"id":759777,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rice, Mindy B.","contributorId":214399,"corporation":false,"usgs":false,"family":"Rice","given":"Mindy","email":"","middleInitial":"B.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":759778,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Fuller, Joe C.","contributorId":214400,"corporation":false,"usgs":false,"family":"Fuller","given":"Joe","email":"","middleInitial":"C.","affiliations":[{"id":39030,"text":"NCWRC","active":true,"usgs":false}],"preferred":false,"id":759779,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70203356,"text":"70203356 - 2019 - Control of invasive sea lampreys using the piscicides TFM and niclosamide: Toxicology, successes & future prospects","interactions":[],"lastModifiedDate":"2023-03-27T22:40:00.993046","indexId":"70203356","displayToPublicDate":"2019-05-08T10:02:15","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":874,"text":"Aquatic Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Control of invasive sea lampreys using the piscicides TFM and niclosamide: Toxicology, successes & future prospects","docAbstract":"<p><span>The invasion of the Laurentian Great Lakes of North America by sea lampreys (</span><span><i>Petromyzon marinus</i></span><span>) in the early 20th century contributed to the depletion of commercial, recreational and culturally important fish populations, devastating the economies of communities that relied on the fishery. Sea lamprey populations were subsequently controlled using an aggressive integrated pest-management program which employed barriers and traps to prevent sea lamprey from migrating to their spawning grounds and the use of the piscicides (lampricides) 3-trifluoromethyl-4-nitrophenol (TFM) and&nbsp;niclosamide&nbsp;to eliminate larval sea lampreys from their nursery streams. Although sea lampreys have not been eradicated from the Great Lakes, populations have been suppressed to less than 10% of their peak numbers in the mid-1900s. The ongoing use of lampricides provides the foundation for sea lamprey control in the Great Lakes, one of the most successful&nbsp;invasive species&nbsp;control programs in the world. Yet, significant gaps remain in our understanding of how lampricides are taken-up and handled by sea lampreys, how lampricides exert their toxic effects, and how they adversely affect non-target invertebrate and vertebrates species. In this review we examine what has been learned about the uptake, handling and elimination, and the mode of TFM and niclosamide toxicity in lampreys and in non-target animals, particularly in the last 10 years. It is now clear that the mode of TFM toxicity is the same in non-target fishes and lampreys, in which TFM interferes with&nbsp;oxidative phosphorylation&nbsp;by the mitochondria leading to decreased ATP production. Vulnerability to TFM is related to abiotic factors such as water pH and alkalinity, which we propose changes the relative amounts of the bioavailable un-ionized form of TFM in the gill microenvironment. Niclosamide, which is also a molluscicide used to control snails in areas prone to schistosomiasis infections of humans, also likely works by uncoupling oxidative phosphorylation, but less is known about other aspects of its toxicology. The effects of TFM include reductions in energy stores, particularly glycogen and high energy phosphagens. However, non-target fishes readily recover from sub-lethal TFM exposure as demonstrated by the rapid restoration of energy stores and clearance of TFM. Although both TFM and niclosamide are non-persistent in the environment and critical for sea lamprey control, increasing public and institutional concerns about pesticides in the environment makes it imperative to explore other means of sea lamprey control. Accordingly, we also address possible “next-generation” strategies of sea lamprey control including genetic tools such as&nbsp;RNA interference&nbsp;and CRISPR-Cas9 to impair critical physiological processes (e.g. reproduction, digestion, metamorphosis) in lamprey, and the use of green chemistry to develop more environmentally benign chemical methods of sea lamprey control.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.aquatox.2018.12.012","usgsCitation":"Wilkie, M., Hubert, T., Boogaard, M.A., and Birceanu, O., 2019, Control of invasive sea lampreys using the piscicides TFM and niclosamide: Toxicology, successes & future prospects: Aquatic Toxicology, v. 211, p. 235-252, https://doi.org/10.1016/j.aquatox.2018.12.012.","productDescription":"18 p.","startPage":"235","endPage":"252","ipdsId":"IP-099479","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":467629,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.aquatox.2018.12.012","text":"Publisher Index Page"},{"id":363583,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Canada","otherGeospatial":"Great Lakes","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93.8671875,\n              41.178653972331674\n            ],\n            [\n              -75.8056640625,\n              41.178653972331674\n            ],\n            [\n              -75.8056640625,\n              49.06666839558117\n            ],\n            [\n              -93.8671875,\n              49.06666839558117\n            ],\n            [\n              -93.8671875,\n              41.178653972331674\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"211","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wilkie, Michael","contributorId":215419,"corporation":false,"usgs":false,"family":"Wilkie","given":"Michael","email":"","affiliations":[{"id":34255,"text":"Wilfred Laurier University","active":true,"usgs":false}],"preferred":false,"id":762286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hubert, Terrance 0000-0001-9712-1738","orcid":"https://orcid.org/0000-0001-9712-1738","contributorId":215420,"corporation":false,"usgs":false,"family":"Hubert","given":"Terrance","affiliations":[{"id":39242,"text":"UMESC (retired)","active":true,"usgs":false}],"preferred":false,"id":762287,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boogaard, Michael A. 0000-0002-5192-8437 mboogaard@usgs.gov","orcid":"https://orcid.org/0000-0002-5192-8437","contributorId":865,"corporation":false,"usgs":true,"family":"Boogaard","given":"Michael","email":"mboogaard@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":762285,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Birceanu, Oana","contributorId":215421,"corporation":false,"usgs":false,"family":"Birceanu","given":"Oana","email":"","affiliations":[{"id":34255,"text":"Wilfred Laurier University","active":true,"usgs":false}],"preferred":false,"id":762288,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203340,"text":"70203340 - 2019 - Resilience of benthic macroinvertebrates to extreme floods in a Catskill Mountain river, New York, USA: Implications for water quality monitoring and assessment","interactions":[],"lastModifiedDate":"2023-03-28T15:01:01.548244","indexId":"70203340","displayToPublicDate":"2019-05-07T09:32:26","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Resilience of benthic macroinvertebrates to extreme floods in a Catskill Mountain river, New York, USA: Implications for water quality monitoring and assessment","docAbstract":"Changes in the timing, magnitude, frequency, and duration of extreme hydrologic events are becoming apparent and could disrupt species assemblages and stream ecosystems across the Northeastern United States. Between August 28 and 29 of 2011, an average of 31 cm of rain from Tropical Storm Irene fell across Eastern New York State in less than 24 h and caused historic flooding in numerous streams of the Catskill Mountain Region. Peak discharges exceeded the 0.01 annual exceedance probability (> 100 year flood) in many Catskill Mountain streams. Approximately one week later, the remnants of Tropical Storm Lee deposited another 19 cm of rain onto saturated soils and caused additional flooding. Data from annual benthic macroinvertebrate surveys completed at 5 sites in the Upper Esopus Creek, a premier trout stream in the region, during August 2009–2011 (before the floods) were compared to data collected from the same sites in September 2011, November 2011, March 2012 and August 2012 (after the floods). The impact, rate of recovery and the factors which might affect the resilience of benthic macroinvertebrate communities were evaluated. The results of biological water quality assessment metrics immediately after the floods resembled those of highly polluted waters, yet severe floods were the only disturbance. Prior to the floods, standard biological assessment metrics showed that communities were not impacted and water quality was pristine. A large decrease in macroinvertebrate density was evident in the September 2011 surveys following the floods and bioassessment metrics reflected highly degraded water quality conditions. Most community metrics rebounded in 3–7 months (November 2011 and March 2012), and full recovery was evident in 12 months (August 2012) which suggests that macroinvertebrate assemblages are relatively resilient to the effects of extreme floods in these low-order streams. Therefore, macroinvertebrate samples collected from a flood-impacted stream before full recovery occurs might reflect loss of diversity and abundance from the flood disturbance and incorrectly attribute the impact to impaired water quality. The strong short-term impacts and the relatively rapid recovery of macroinvertebrate communities following catastrophic floods have important ramifications for routine bioassessment programs considering changing hydrologic regimes in streams across the Northeast and elsewhere.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2019.04.057","usgsCitation":"Smith, A.J., Baldigo, B.P., Duffy, B.T., George, S.D., and Dresser, B., 2019, Resilience of benthic macroinvertebrates to extreme floods in a Catskill Mountain river, New York, USA: Implications for water quality monitoring and assessment: Ecological Indicators, v. 104, p. 107-115, https://doi.org/10.1016/j.ecolind.2019.04.057.","productDescription":"9 p.","startPage":"107","endPage":"115","ipdsId":"IP-088586","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":363550,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Upper Esopus Creek watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -74.8774721023475,\n              42.15605300055455\n            ],\n            [\n              -74.8774721023475,\n              41.85645574280821\n            ],\n            [\n              -74.24721282626231,\n              41.85645574280821\n            ],\n            [\n              -74.24721282626231,\n              42.15605300055455\n            ],\n            [\n              -74.8774721023475,\n              42.15605300055455\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"104","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Alexander J.","contributorId":168509,"corporation":false,"usgs":false,"family":"Smith","given":"Alexander","email":"","middleInitial":"J.","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":762212,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":1234,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762211,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duffy, Brian T","contributorId":215384,"corporation":false,"usgs":false,"family":"Duffy","given":"Brian","email":"","middleInitial":"T","affiliations":[{"id":39232,"text":"Research Scientist, NY State Dept of Environmental Conservation, Albany NY","active":true,"usgs":false}],"preferred":false,"id":762213,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762214,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dresser, Brian","contributorId":215385,"corporation":false,"usgs":false,"family":"Dresser","given":"Brian","email":"","affiliations":[{"id":39233,"text":"Retired, NY State Dept of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":762215,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70205086,"text":"70205086 - 2019 - Integrated modeling reveals shifts in waterfowl population dynamics under climate change","interactions":[],"lastModifiedDate":"2019-09-04T14:53:34","indexId":"70205086","displayToPublicDate":"2019-05-07T09:25:11","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"Integrated modeling reveals shifts in waterfowl population dynamics under climate change","docAbstract":"<p>1. Climate change has been identified as one of the most important drivers of wildlife populations. The development of appropriate conservation strategies relies on reliable predictions of population responses to climate change, which require in-depth understanding of the complex relationships between climate and population dynamics through density dependent demographic processes. Integrated population models (IPMs) are a type of modeling approach that unify the analyses of demography and abundance data, providing opportunities to understand and predict population demography and dynamics under climate change. 2. In this study we developed dynamic N-mixture models for large scale population estimates, which became an important component of the IPM we used in data analysis. We then analyzed four decades (1974-2014) of Mallard (<i>Anas platyrhynchos</i>) breeding population survey, band-recovery, and climate data covering a large spatial extent from North American prairies through boreal habitat to Alaska. Our goals were to examine the complex relationships among climate, density dependent processes, waterfowl population demography and dynamics, identify the key demographic parameters that are sensitive to climate change and are influential to population growth, and forecast population responses to climate change. 3. Our results revealed the interactive effects of temperature and density dependent processes on Mallard recruitment and to a less extent apparent survival. We also found that recruitment explained more variance of population growth than apparent survival. We then forecasted a decrease in Mallard breeding population density in the Northern Prairie Potholes and an increase in Mallard breeding population density in the northern part of our study area, indicating potential shifts in Mallard population dynamics under future climate change. 4. Synthesis and applications Different strategies need to be considered across regions to conserve waterfowl populations under climate change. Strategies that facilitate recruitment are essential for high-density populations that are relatively vulnerable to climate change. By contrast, low-density populations are relatively resilient to climate change and their habitats may serve as future climate refugia. Adaptive management is essential for evaluating management consequences. Our modelling framework approach can be easily adapted for other species and thus has wide applications in ecology and conservation.</p>","language":"English","publisher":"Wiley","doi":"10.1111/ecog.04548","usgsCitation":"Qing Zhao, Boomer, S., and Royle, A., 2019, Integrated modeling reveals shifts in waterfowl population dynamics under climate change: Ecography, v. 42, no. 9, p. 1470-1481, https://doi.org/10.1111/ecog.04548.","productDescription":"12 p.","startPage":"1470","endPage":"1481","ipdsId":"IP-102365","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":367131,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -180.703125,\n              52.696361078274485\n            ],\n            [\n              -172.08984375,\n              49.724479188712984\n            ],\n            [\n              -147.48046875,\n              59.44507509904714\n            ],\n            [\n              -127.96875,\n              60.1524422143808\n            ],\n            [\n              -128.32031249999997,\n              47.39834920035926\n            ],\n            [\n              -105.99609375,\n              47.87214396888731\n            ],\n            [\n              -104.58984375,\n              44.33956524809713\n            ],\n            [\n              -99.31640625,\n              43.96119063892024\n            ],\n            [\n              -99.49218749999999,\n              48.80686346108517\n            ],\n            [\n              -80.33203125,\n              48.80686346108517\n            ],\n            [\n              -80.15625,\n              49.95121990866204\n            ],\n            [\n              -80.15625,\n              52.482780222078226\n            ],\n            [\n              -128.84765625,\n              70.90226826757711\n            ],\n            [\n              -161.89453125,\n              73.17589717422607\n            ],\n            [\n              -180.703125,\n              52.696361078274485\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"42","issue":"9","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Qing Zhao","contributorId":213383,"corporation":false,"usgs":false,"family":"Qing Zhao","affiliations":[{"id":38743,"text":"Univ. Missouri","active":true,"usgs":false}],"preferred":false,"id":769943,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boomer, Scott","contributorId":218697,"corporation":false,"usgs":false,"family":"Boomer","given":"Scott","email":"","affiliations":[{"id":7199,"text":"US FWS","active":true,"usgs":false}],"preferred":false,"id":769944,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":769942,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70203418,"text":"70203418 - 2019 - Using the beta distribution to analyze plant cover data","interactions":[],"lastModifiedDate":"2023-03-27T22:36:11.861338","indexId":"70203418","displayToPublicDate":"2019-05-06T13:34:46","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Using the beta distribution to analyze plant cover data","docAbstract":"<p>Most plant species are spatially aggregated. Local demographic and ecological processes (e.g. vegetative growth and limited seed dispersal) result in a clustered spatial pattern within an environmentally homogenous area. Spatial aggregation should be considered when modelling plant abundance data.</p><p>Commonly, plant abundance is quantified by measuring cover within multiple areal plots or along multiple lines randomly placed within a study area. A common practice for analyzing plant cover is to use statistical methods that rely on the normal distribution for quantifying uncertainty. This is problematic because plant cover data tend to be left‐skewed (J‐shaped), right skewed (L‐shaped) or U‐shaped and, therefore, commonly violate classic statistical assumptions, such as normality.</p><p>We outline statistical analyses that explicitly account for spatial aggregation by assuming that plant cover is beta‐distributed. The beta distribution is a flexible choice because within the open unit interval it can take on a wide range of shapes (L, J, U, or a bell‐shaped). We discuss and introduce extensions to the beta distribution that address common analysis issues encountered in plant cover datasets, such as i) the treatment of zero and one cover values, ii) hierarchical data structures, and iii) observations errors. For heuristic purposes, we focus on single species analyses, but we demonstrate how the outlined methods can be generalized to more species.</p><p>The assumption that plant cover is beta‐distributed allows us to estimate the degree of spatial aggregation, and the ecological significance of this new knowledge is discussed. We provide a summary of available software for analyses (emphasizing standard R packages) and include worked examples and a simulation study comparing analysis options as supplemental information.</p><p><i>Synthesis</i>. Previously, the state of the statistical software made it practically difficult for empirical plant ecologists to analyze their cover data correctly, but new theory and R‐packages have been developed, and this difficulty no longer exists. We recommend that empirical plant ecologists embrace the new statistical possibilities for exploring the exciting ecological features in spatial variation of plant cover.</p>","language":"English","publisher":"Wiley","doi":"10.1111/1365-2745.13200","usgsCitation":"Damgaard, C., and Irvine, K., 2019, Using the beta distribution to analyze plant cover data: Journal of Ecology, v. 107, no. 6, p. 2747-2759, https://doi.org/10.1111/1365-2745.13200.","productDescription":"13 p.","startPage":"2747","endPage":"2759","onlineOnly":"Y","ipdsId":"IP-097332","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":467640,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2745.13200","text":"Publisher Index Page"},{"id":363781,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"107","issue":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Damgaard, Christian","contributorId":215533,"corporation":false,"usgs":false,"family":"Damgaard","given":"Christian","email":"","affiliations":[{"id":37318,"text":"Aarhus University","active":true,"usgs":false}],"preferred":false,"id":762605,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Irvine, Kathryn M. 0000-0002-6426-940X","orcid":"https://orcid.org/0000-0002-6426-940X","contributorId":214591,"corporation":false,"usgs":true,"family":"Irvine","given":"Kathryn M.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":762604,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70203347,"text":"70203347 - 2019 - Assessing water-quality changes in U.S. rivers at multiple geographic scales using results from probabilistic and targeted monitoring","interactions":[],"lastModifiedDate":"2019-05-07T08:59:44","indexId":"70203347","displayToPublicDate":"2019-05-04T08:58:02","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"title":"Assessing water-quality changes in U.S. rivers at multiple geographic scales using results from probabilistic and targeted monitoring","docAbstract":"<p id=\"Par1\" class=\"Para\">Two commonly used approaches for water quality monitoring are probabilistic and targeted. In a probabilistic approach like the US Environmental Protection Agency’s National Rivers and Streams Assessment, monitoring sites are selected using a statistically representative approach. In a targeted approach like that used by many monitoring organizations, monitoring sites are chosen individually to answer specific questions. One important goal of both approaches is documenting long-term changes in water quality. Here, we compare chloride change results in US rivers and streams between the early 2000s and early 2010s from both approaches. The probabilistic approach provided an unbiased representation of change in all US rivers and streams, but was designed to measure low-streamflow conditions within a spring/summer index period during periodic survey years. The targeted approach was focused on larger, more developed watersheds but samples were collected frequently throughout the assessment period in different seasons and streamflows. The probabilistic results showed a small decrease in chloride concentrations in rivers and streams with the lowest concentrations, but no consistent increase or decrease in the remainder. The increased granularity of the targeted results showed that there was, in fact, a mix of changes occurring, with increases at 132 sites, decreases at 112 sites, and relatively stable conditions at 55 sites. The combined results suggest that chloride is not responding to a widespread, common driver across the USA and that management of chloride would be most effective when targeted regionally or locally.</p>","language":"English","publisher":"Springer","doi":"10.1007/s10661-019-7481-5","usgsCitation":"Sprague, L.A., Mitchell, R., Pollard, A.I., and Falcone, J.A., 2019, Assessing water-quality changes in U.S. rivers at multiple geographic scales using results from probabilistic and targeted monitoring: Environmental Monitoring and Assessment, v. 191, no. 348, 12 p., https://doi.org/10.1007/s10661-019-7481-5.","productDescription":"12 p.","ipdsId":"IP-092845","costCenters":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":467644,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10661-019-7481-5","text":"Publisher 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States\"}}]}","volume":"191","issue":"348","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Sprague, Lori A. 0000-0003-2832-6662 lsprague@usgs.gov","orcid":"https://orcid.org/0000-0003-2832-6662","contributorId":726,"corporation":false,"usgs":true,"family":"Sprague","given":"Lori","email":"lsprague@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":762251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mitchell, Richard M.","contributorId":215406,"corporation":false,"usgs":false,"family":"Mitchell","given":"Richard M.","affiliations":[{"id":39239,"text":"USEPA, Washington D.C.","active":true,"usgs":false}],"preferred":false,"id":762252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pollard, Amina I.","contributorId":203965,"corporation":false,"usgs":false,"family":"Pollard","given":"Amina","email":"","middleInitial":"I.","affiliations":[{"id":36775,"text":"USEPA, Office of Water","active":true,"usgs":false}],"preferred":false,"id":762253,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Falcone, James A. 0000-0001-7202-3592 jfalcone@usgs.gov","orcid":"https://orcid.org/0000-0001-7202-3592","contributorId":173496,"corporation":false,"usgs":true,"family":"Falcone","given":"James","email":"jfalcone@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":false,"id":762254,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203400,"text":"70203400 - 2019 - Establishment of Salsola tragus on aeolian sands: A Southern Colorado Plateau case study","interactions":[],"lastModifiedDate":"2019-07-23T13:52:17","indexId":"70203400","displayToPublicDate":"2019-05-02T09:39:28","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2100,"text":"Invasive Plant Science and Management","active":true,"publicationSubtype":{"id":10}},"title":"Establishment of Salsola tragus on aeolian sands: A Southern Colorado Plateau case study","docAbstract":"Russian-thistle (Salsola tragus L.), is a nonnative, C4 photosynthesizing, annual plant that infests disturbed and natural areas in the arid U.S. Southwest. Land managers of natural areas may need to decide whether a S. tragus infestation is potentially harmful and whether it should be actively managed. One factor informing that decision is an understanding of the conditions under which this weed emerges and establishes and how those processes affect where and when infestations occur. We studied S. tragus establishment on aeolian (windblown) sandy soils at Petrified Forest National Park, AZ. Our sites were a previously disturbed sand sheet and a semistabilized sand dune. Measurements in plots on these sites over two growing seasons revealed a similar number of S. tragus seedlings emerging on both sites early in the 2015 growing season. As the season progressed, S. tragus cover (seedling survival and growth) was lower on the sand dune, except for a plot placed entirely on a coppice mound. In 2016, S. tragus seedling emergence and development of cover, measured on plots at both sites, was exceptionally low, as was summer rainfall. A growth chamber assay of seedling emergence from soil and litter samples collected at each site showed emergence was greatest from samples collected where S. tragus litter remained on the soil surface, and otherwise was infrequent. Our study suggests that S. tragus emergence and early establishment are sensitive to low precipitation and that soil-surface microtopography and grass and shrub cover may be determinants of the spatial pattern of infestation on sandy soils. As aeolian sands occur throughout drylands of the U.S. Southwest, deeper understanding of the conditions under which S. tragus seedlings emerge and establish can inform management of this invasive annual in those habitats.","language":"English","publisher":"Weed Science Society of America","doi":"10.1017/inp.2019.7","usgsCitation":"Thomas, K.A., and Hiza, M., 2019, Establishment of Salsola tragus on aeolian sands: A Southern Colorado Plateau case study: Invasive Plant Science and Management, v. 12, no. 2, p. 124-132, https://doi.org/10.1017/inp.2019.7.","productDescription":"9 p.","startPage":"124","endPage":"132","ipdsId":"IP-102191","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":437474,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P992YTCO","text":"USGS data release","linkHelpText":"Russian-thistle field and seed bank data at Petrified Forest National Park, Arizona, 2015-2016"},{"id":363715,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Thomas, Kathryn A. 0000-0002-7131-8564 kathryn_a_thomas@usgs.gov","orcid":"https://orcid.org/0000-0002-7131-8564","contributorId":167,"corporation":false,"usgs":true,"family":"Thomas","given":"Kathryn","email":"kathryn_a_thomas@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":762574,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hiza, Margaret 0000-0003-2851-2502 mhiza@usgs.gov","orcid":"https://orcid.org/0000-0003-2851-2502","contributorId":198449,"corporation":false,"usgs":true,"family":"Hiza","given":"Margaret","email":"mhiza@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":762575,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70203555,"text":"70203555 - 2019 - A synthesis of ecosystem management strategies for forests in the face of chronic N deposition","interactions":[],"lastModifiedDate":"2019-05-22T09:33:54","indexId":"70203555","displayToPublicDate":"2019-05-01T09:33:20","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"A synthesis of ecosystem management strategies for forests in the face of chronic N deposition","docAbstract":"The relative importance of nitrogen (N) deposition as a stressor to global forests is likely to increase in the future, as N deposition increases in Asia and Africa, and as sulfur declines more than nitrogen in Europe, the US, and Canada. Even so, it appears that decreased N deposition may not be sufficient to induce recovery, suggesting that management interventions may be necessary to promote recovery over timescales desired by decision makers. Here we report a meta-analysis of the effectiveness of four remediation approaches (prescribed burning, thinning, liming, carbon addition) on three recovery responses from N deposition (decreased soil N availability, increased soil alkalinity, increased plant biodiversity), focusing on literature from North America. We found 72 publications (with 2156 responses) from the Web of Science that focused on one of these treatments but only 29 (with 408 responses) reported results appropriate for meta-analysis (others examined other end points or did not report sufficient data). We found that carbon addition was the only treatment that decreased N availability (effect size: -1.6 to -1.8), while liming, thinning, and burning all tended to increase N availability (effect sizes: +0.2 to +1.1). Only liming had a significant effect on soil alkalinity (+10% to 80% across metrics). Only prescribed burning and thinning affected plant diversity, but with opposing effects across metrics (i.e. increased richness, decreased Shannon or Simpson diversity) but effects were often statistically marginal. Thus, it appears that no single treatment will be effective in promoting recovery from N deposition for all three responses of interest, and combinations of treatments should be explored (esp. liming in combination with other treatments). These conclusions are based on the limited published data available, underscoring the need for more studies in forested areas and more consistent reporting across studies.","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2019.02.006","collaboration":"US Environmental Protection Agency, USDA Forest Service","usgsCitation":"Clark, C.M., Richkus, J., Jones, P.W., Phelan, J., Burns, D., deVries, W., Du, E., Fenn, M.E., Jones, L., and Watmough, S.A., 2019, A synthesis of ecosystem management strategies for forests in the face of chronic N deposition: Environmental Pollution, v. 248, p. 1046-1058, https://doi.org/10.1016/j.envpol.2019.02.006.","productDescription":"13 p.","startPage":"1046","endPage":"1058","ipdsId":"IP-099353","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":467649,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envpol.2019.02.006","text":"Publisher Index Page"},{"id":364084,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"248","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Clark, Christopher M.","contributorId":215744,"corporation":false,"usgs":false,"family":"Clark","given":"Christopher","email":"","middleInitial":"M.","affiliations":[{"id":39312,"text":"U.S. EPA","active":true,"usgs":false}],"preferred":false,"id":763130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richkus, J.","contributorId":215745,"corporation":false,"usgs":false,"family":"Richkus","given":"J.","email":"","affiliations":[{"id":7151,"text":"RTI International","active":true,"usgs":false}],"preferred":false,"id":763131,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Philip W","contributorId":215746,"corporation":false,"usgs":false,"family":"Jones","given":"Philip","email":"","middleInitial":"W","affiliations":[{"id":7151,"text":"RTI International","active":true,"usgs":false}],"preferred":false,"id":763132,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Phelan, Jennifer","contributorId":198940,"corporation":false,"usgs":false,"family":"Phelan","given":"Jennifer","affiliations":[],"preferred":false,"id":763133,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burns, Douglas A. 0000-0001-6516-2869","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":202943,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":763129,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"deVries, Wim","contributorId":215747,"corporation":false,"usgs":false,"family":"deVries","given":"Wim","email":"","affiliations":[{"id":39313,"text":"Waginengen University and Research","active":true,"usgs":false}],"preferred":false,"id":763134,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Du, Enzai","contributorId":215748,"corporation":false,"usgs":false,"family":"Du","given":"Enzai","email":"","affiliations":[{"id":16866,"text":"Beijing Normal University","active":true,"usgs":false}],"preferred":false,"id":763135,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fenn, Mark E.","contributorId":192204,"corporation":false,"usgs":false,"family":"Fenn","given":"Mark","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":763136,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jones, Laurence","contributorId":215749,"corporation":false,"usgs":false,"family":"Jones","given":"Laurence","affiliations":[{"id":39314,"text":"Centre for Ecology and Hydrology","active":true,"usgs":false}],"preferred":false,"id":763137,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Watmough, Shaun A.","contributorId":178413,"corporation":false,"usgs":false,"family":"Watmough","given":"Shaun","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":763138,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70203225,"text":"70203225 - 2019 - Historical changes in New York State streamflow: Attribution of temporal shifts and spatial patterns from 1961 to 2016","interactions":[],"lastModifiedDate":"2019-05-01T07:51:43","indexId":"70203225","displayToPublicDate":"2019-05-01T07:50:50","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Historical changes in New York State streamflow: Attribution of temporal shifts and spatial patterns from 1961 to 2016","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab010\" class=\"abstract author\" lang=\"en\"><div id=\"as010\"><p id=\"sp0010\">To better understand the effects of climate change on streamflow, the hydrologic response to both temperature and precipitation needs to be examined at the mesoscale. New York State provides a hydrologically diverse mesoscale region, where sub-regional clusters of watersheds may respond differently to changes in temperature and in seasonal precipitation rates. Connections between streamflow and climate were examined for 97 gaging stations across the state and surrounding areas, for a historical period of 56 years of daily average streamflow. Gages were grouped into clusters if their mean annual discharge rates were strongly correlated to one another. Within each cluster, sharp temporal changes in discharge, or change points, were identified. These change points clustered both spatially and by flow regime, with low, medium, and high flows increasing around 1970 for much of the state consistent with other studies in the region. A step increase in Catskill low flows in 2003 coincides with increases in summer precipitation, and is consistent with a positive correlation between summer precipitation and annual low flows. Our results support previous studies that have shown that streamflow at this mesoscale is strongly tied to precipitation, and the strength of that connection is modulated by land cover, geographic position, and seasonal moisture conditions. Across the state, the winter-spring center of volume date has moved earlier along with increasing January streamflow rates, the result of warmer winter temperatures and an increased proportion of precipitation as rain. The transition to a post-1970s pluvial period also coincided with more frequent peak over threshold flows statewide, and this wetter period has continued to the present day.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2019.04.060","usgsCitation":"Glas, R., Burns, D., and Lautz, L.K., 2019, Historical changes in New York State streamflow: Attribution of temporal shifts and spatial patterns from 1961 to 2016: Journal of Hydrology, v. 574, p. 308-323, https://doi.org/10.1016/j.jhydrol.2019.04.060.","productDescription":"16 p.","startPage":"308","endPage":"323","ipdsId":"IP-100780","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":467652,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1636018","text":"Publisher Index Page"},{"id":363419,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New 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York\",\"nation\":\"USA  \"}}]}","volume":"574","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Glas, Robin","contributorId":215179,"corporation":false,"usgs":false,"family":"Glas","given":"Robin","affiliations":[{"id":36475,"text":"Sonoma State University","active":true,"usgs":false}],"preferred":false,"id":761781,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burns, Douglas A. 0000-0001-6516-2869","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":202943,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":761780,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lautz, Laura K.","contributorId":124523,"corporation":false,"usgs":false,"family":"Lautz","given":"Laura","email":"","middleInitial":"K.","affiliations":[{"id":5082,"text":"Syracuse University","active":true,"usgs":false}],"preferred":false,"id":761782,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70203273,"text":"70203273 - 2019 - Virally-vectored vaccine candidates against white-nose syndrome induce anti-fungal immune response in little brown bats (Myotis lucifugus)","interactions":[],"lastModifiedDate":"2023-06-23T14:00:55.86266","indexId":"70203273","displayToPublicDate":"2019-05-01T07:11:21","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Virally-vectored vaccine candidates against white-nose syndrome induce anti-fungal immune response in little brown bats (<i>Myotis lucifugus</i>)","title":"Virally-vectored vaccine candidates against white-nose syndrome induce anti-fungal immune response in little brown bats (Myotis lucifugus)","docAbstract":"<div id=\"Abs1-section\" class=\"serif article-section js-article-section cleared clear\"><div id=\"Abs1-content\" class=\"pl20 mq875-pl0 js-collapsible-section\"><p><span>White-nose syndrome (WNS) caused by the fungus,&nbsp;</span><i>Pseudogymnoascus destructans</i><span>&nbsp;(</span><i>Pd</i><span>) has killed millions of North American hibernating bats. Currently, methods to prevent the disease are limited. We conducted two trials to assess potential WNS vaccine candidates in wild-caught&nbsp;</span><i>Myotis lucifugus</i><span>. In a pilot study, we immunized bats with one of four vaccine treatments or phosphate-buffered saline (PBS) as a control and challenged them with&nbsp;</span><i>Pd</i><span>&nbsp;upon transfer into hibernation chambers. Bats in one vaccine-treated group, that received raccoon poxviruses (RCN) expressing&nbsp;</span><i>Pd</i><span>&nbsp;calnexin (CAL) and serine protease (SP), developed WNS at a lower rate (1/10) than other treatments combined (14/23), although samples sizes were small. The results of a second similar trial provided additional support for this observation. Bats vaccinated orally or by injection with RCN-CAL and RCN-SP survived&nbsp;</span><i>Pd</i><span>&nbsp;challenge at a significantly higher rate (P = 0.01) than controls. Using RT-PCR and flow cytometry, combined with fluorescent&nbsp;</span><i>in situ</i><span>&nbsp;hybridization, we determined that expression of IFN-γ transcripts and the number of CD4 + T-helper cells transcribing this gene were elevated (P &lt; 0.10) in stimulated lymphocytes from surviving vaccinees (n = 15) compared to controls (n = 3). We conclude that vaccination with virally-vectored&nbsp;</span><i>Pd</i><span>antigens induced antifungal immunity that could potentially protect bats against WNS.</span></p></div></div>","language":"English","publisher":"Nature","doi":"10.1038/s41598-019-43210-w","usgsCitation":"Rocke, T.E., Kingstad-Bakke, B., Wuthrich, M., Stading, B., Abbott, R.C., Isidoro Ayza, M., Dobson, H.E., dos Santos Dias, L., Galles, K., Lankton, J.S., Falendysz, E., Lorch, J.M., Fites, J.S., Lopera-Madrid, J., Klein, B., Osorio, J.E., and White, J.P., 2019, Virally-vectored vaccine candidates against white-nose syndrome induce anti-fungal immune response in little brown bats (Myotis lucifugus): Scientific Reports, v. 9, 6788, 12 p.; Data release, https://doi.org/10.1038/s41598-019-43210-w.","productDescription":"6788, 12 p.; Data release","ipdsId":"IP-106895","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":467655,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-019-43210-w","text":"Publisher Index Page"},{"id":363469,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418321,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P923NSSG","text":"USGS data release","description":"USGS data release","linkHelpText":"Virally-vectored vaccine candidates against white-nose syndrome induce anti-fungal immune response in little brown bats (Myotis lucifugus)"}],"volume":"9","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Rocke, Tonie E. 0000-0003-3933-1563 trocke@usgs.gov","orcid":"https://orcid.org/0000-0003-3933-1563","contributorId":2665,"corporation":false,"usgs":true,"family":"Rocke","given":"Tonie","email":"trocke@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":761984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kingstad-Bakke, Brock","contributorId":174762,"corporation":false,"usgs":false,"family":"Kingstad-Bakke","given":"Brock","email":"","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":761990,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wuthrich, Marcel","contributorId":215111,"corporation":false,"usgs":false,"family":"Wuthrich","given":"Marcel","email":"","affiliations":[],"preferred":false,"id":761995,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stading, Ben","contributorId":197065,"corporation":false,"usgs":false,"family":"Stading","given":"Ben","affiliations":[],"preferred":false,"id":761991,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Abbott, Rachel C. 0000-0003-4820-9295 rabbott@usgs.gov","orcid":"https://orcid.org/0000-0003-4820-9295","contributorId":1183,"corporation":false,"usgs":true,"family":"Abbott","given":"Rachel","email":"rabbott@usgs.gov","middleInitial":"C.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":761985,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Isidoro Ayza, Marcos 0000-0002-9380-7254 misidoroayza@usgs.gov","orcid":"https://orcid.org/0000-0002-9380-7254","contributorId":192509,"corporation":false,"usgs":true,"family":"Isidoro Ayza","given":"Marcos","email":"misidoroayza@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":761986,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dobson, Hannah E.","contributorId":215112,"corporation":false,"usgs":false,"family":"Dobson","given":"Hannah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":762153,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"dos Santos Dias, Lucas","contributorId":215113,"corporation":false,"usgs":false,"family":"dos Santos Dias","given":"Lucas","email":"","affiliations":[],"preferred":false,"id":761996,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Galles, Kevin","contributorId":215284,"corporation":false,"usgs":false,"family":"Galles","given":"Kevin","email":"","affiliations":[{"id":39220,"text":"Departments of Pediatrics, School of Medicine and Public Health,  University of Wisconsin - Madison, Madison, Wisconsin, United States of America","active":true,"usgs":false}],"preferred":false,"id":761997,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lankton, Julia S. 0000-0002-6843-4388 jlankton@usgs.gov","orcid":"https://orcid.org/0000-0002-6843-4388","contributorId":5888,"corporation":false,"usgs":true,"family":"Lankton","given":"Julia","email":"jlankton@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":761987,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Falendysz, Elizabeth 0000-0003-2895-8918 efalendysz@usgs.gov","orcid":"https://orcid.org/0000-0003-2895-8918","contributorId":127751,"corporation":false,"usgs":true,"family":"Falendysz","given":"Elizabeth","email":"efalendysz@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":761988,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lorch, Jeffrey M. 0000-0003-2239-1252 jlorch@usgs.gov","orcid":"https://orcid.org/0000-0003-2239-1252","contributorId":5565,"corporation":false,"usgs":true,"family":"Lorch","given":"Jeffrey","email":"jlorch@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":761989,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Fites, J. Scott","contributorId":215115,"corporation":false,"usgs":false,"family":"Fites","given":"J.","email":"","middleInitial":"Scott","affiliations":[],"preferred":false,"id":761998,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Lopera-Madrid, Jaime","contributorId":215116,"corporation":false,"usgs":false,"family":"Lopera-Madrid","given":"Jaime","email":"","affiliations":[],"preferred":false,"id":761992,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Klein, Bruce","contributorId":215117,"corporation":false,"usgs":false,"family":"Klein","given":"Bruce","affiliations":[],"preferred":false,"id":761999,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Osorio, Jorge E.","contributorId":174759,"corporation":false,"usgs":false,"family":"Osorio","given":"Jorge","email":"","middleInitial":"E.","affiliations":[{"id":18002,"text":"University of Wisconsin - Madison","active":true,"usgs":false}],"preferred":false,"id":761993,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"White, J. Paul","contributorId":118346,"corporation":false,"usgs":false,"family":"White","given":"J.","email":"","middleInitial":"Paul","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":761994,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70208521,"text":"70208521 - 2019 - A federal-state partnership for mapping Florida's coast and seafloor ","interactions":[],"lastModifiedDate":"2020-02-14T06:54:01","indexId":"70208521","displayToPublicDate":"2019-05-01T06:52:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3891,"text":"Coastal Sediments","active":true,"publicationSubtype":{"id":10}},"title":"A federal-state partnership for mapping Florida's coast and seafloor ","docAbstract":"The Florida Coastal Mapping Program, a partnership of state and federal agencies, has a goal of having modern, consistent, high- resolution sea-floor data for all of Florida’s coastal zone in the next decade to support a myriad of coastal zone science and management applications. One of the early steps in the implementation process is to prioritize and justify mapping needs. This is accomplished by holding six regional workshops across the state during which stakeholders and partners are introduced to a newly developed geospatial prioritization tool. Users independently utilize the tool to populate grid cells for a given region, and the result is a cumulative perspective on sea floor mapping priorities to inform future mapping initiatives. The tool also allows participants to indicate their primary use of sea floor mapping data and types of additional data required for their science or management need.","language":"English","publisher":"World Scientific","doi":"10.1142/9789811204487_0184","usgsCitation":"Hapke, C.J., Druyor, R., Baumstark, R.D., Kramer, P., Fitos, E., Fredericks, X., and Fetherston-Resch, E.H., 2019, A federal-state partnership for mapping Florida's coast and seafloor : Coastal Sediments, p. 2150-2158, https://doi.org/10.1142/9789811204487_0184.","productDescription":"9 p.","startPage":"2150","endPage":"2158","ipdsId":"IP-105639","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":372337,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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D.","contributorId":213975,"corporation":false,"usgs":false,"family":"Baumstark","given":"Rene","email":"","middleInitial":"D.","affiliations":[{"id":38947,"text":"FWRI","active":true,"usgs":false}],"preferred":false,"id":782274,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kramer, Philip","contributorId":35911,"corporation":false,"usgs":false,"family":"Kramer","given":"Philip","affiliations":[{"id":5112,"text":"University of Miami","active":true,"usgs":false}],"preferred":false,"id":782275,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fitos, Ekaterina","contributorId":213977,"corporation":false,"usgs":false,"family":"Fitos","given":"Ekaterina","email":"","affiliations":[{"id":38948,"text":"FDEP","active":true,"usgs":false}],"preferred":false,"id":782277,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fredericks, Xan 0000-0001-7186-6555 afredericks@usgs.gov","orcid":"https://orcid.org/0000-0001-7186-6555","contributorId":2972,"corporation":false,"usgs":true,"family":"Fredericks","given":"Xan","email":"afredericks@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":782276,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fetherston-Resch, Elizabeth H.","contributorId":213974,"corporation":false,"usgs":false,"family":"Fetherston-Resch","given":"Elizabeth","email":"","middleInitial":"H.","affiliations":[{"id":38946,"text":"FIO","active":true,"usgs":false}],"preferred":false,"id":782278,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70228299,"text":"70228299 - 2019 - Effects of exercise and bioprocessed soybean meal diets during rainbow trout rearing","interactions":[],"lastModifiedDate":"2022-02-08T22:21:30.930226","indexId":"70228299","displayToPublicDate":"2019-04-29T16:13:23","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10089,"text":"The Open Biology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Effects of exercise and bioprocessed soybean meal diets during rainbow trout rearing","docAbstract":"<p>Background:&nbsp; Alternative protein sources to fishmeal in fish feeds are needed.</p><p>Objectives: Evaluate rearing performance of adult rainbow trout (Oncorhynchus mykiss) (initial weight 139.0 ±1.5 g, length 232.9 ± 0.8 mm, mean ± SE) fed one of the two isonitrogenous and isocaloric diets (46% protein, 16% lipid) and reared at one of the two levels of exercise (water velocities of either 3.6 cm/s or 33.2 cm/s).</p><p>Methods: Protein in the control diet was based on fishmeal. In the experimental diet, bioprocessed soybean meal replaced approximately 60% of the fishmeal. Fish were fed by hand once-per-day to near satiation, and the food was increased daily. The experiment lasted 90-days.</p><p>Results: There were no significant differences in gain, percent gain, or specific growth rate between the dietary treatments. However, the amount of food fed and feed conversion ratio was significantly lower in the 60% bioprocessed soybean meal diet. Intestinal morphology, relative fin length, splenosomatic index, hepatosomatic index, and viscerosomatic index were not significantly different in the trout fed either diet. Fish reared at 3.6 cm/s had a significantly lower feed conversion ratio (1.02 ± 0.02) than fish reared at 33.2 cm/s (1.13 ± 0.02). However, there were no significant differences in gain, percent gain, specific growth rate, or percentage mortality in fish reared with or without exercise. No significant interactions were observed between diet and exercise (higher water velocity).</p><p>Conclusion:Based on these results, at least 60% of the fishmeal in adult rainbow trout diets can be replaced by bioprocessed soybean meal, even if higher water velocities are used to exercise the fish.</p>","language":"English","publisher":"Bentham Open","doi":"10.2174/1874196701907010001","usgsCitation":"Jill M. Voorhees, Barnes, M.E., Chipps, S.R., and Brown, M.L., 2019, Effects of exercise and bioprocessed soybean meal diets during rainbow trout rearing: The Open Biology Journal, v. 7, p. 1-13, https://doi.org/10.2174/1874196701907010001.","productDescription":"13 p.","startPage":"1","endPage":"13","ipdsId":"IP-097773","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467659,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2174/1874196701907010001","text":"Publisher Index Page"},{"id":395660,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jill M. Voorhees","contributorId":275091,"corporation":false,"usgs":false,"family":"Jill M. Voorhees","affiliations":[{"id":37104,"text":"South Dakota Department of Game, Fish and Parks","active":true,"usgs":false}],"preferred":false,"id":833631,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnes, Michael E.","contributorId":275092,"corporation":false,"usgs":false,"family":"Barnes","given":"Michael","email":"","middleInitial":"E.","affiliations":[{"id":56698,"text":"South Dakota Department of Game, Fish, and Parks","active":true,"usgs":false}],"preferred":false,"id":833632,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":833633,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Michael L.","contributorId":275093,"corporation":false,"usgs":false,"family":"Brown","given":"Michael","email":"","middleInitial":"L.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":833634,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70206741,"text":"70206741 - 2019 - Case studies in groundwater contaminant fate and transport","interactions":[],"lastModifiedDate":"2019-11-20T06:57:31","indexId":"70206741","displayToPublicDate":"2019-04-26T06:54:11","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5830,"text":"Environmental Science","active":true,"publicationSubtype":{"id":10}},"title":"Case studies in groundwater contaminant fate and transport","docAbstract":"<div class=\"div1\"><p>A case study of groundwater contamination is a detailed study of a single site contaminated with a chemical or mixture that is known to be a problem at many sites. The goal of case studies is to provide insights into the physical, chemical, and biological processes controlling migration, natural attenuation, or remediation of common groundwater contaminants. Ideally, processes occurring at a case study site are representative of other sites so that knowledge gained from these intensive studies can be applied at thousands of sites where fewer data are available. Several characteristics of case studies contribute to their value. First, they may have tens to hundreds of monitoring wells, compared to fewer than ten wells at some contaminated sites. Second, some case studies continue for many years or even decades, providing insights into temporal progression of slow processes. Third, analytical methods prohibitively expensive for routine use or under development may be tested at case study sites. Finally, the ongoing characterization typical of case study sites builds a foundation of knowledge that facilitates sophisticated experimental design and testing of new methods. This article is divided into sections based on the contaminant type because the chemical and biological processes required for remediation vary for each contaminant. Most importantly, some contaminants can be biodegraded whereas metals and radionuclides cannot be destroyed but can be immobilized or rendered less toxic. The emphasis is on case studies of natural processes that control the fate and transport of contaminants in groundwater rather than on active remediation methods. The principles learned from these studies may form the basis for design of remedial strategies. The organic contaminants are divided into: petroleum hydrocarbons, fuel oxygenates, coal tar and wastes from manufactured gas plants, and chlorinated solvents. The inorganic contaminants covered are metals and radionuclides, arsenic, and nitrate. Case studies of mixed waste plumes from landfills are also described. Experimental sites where contaminants have been introduced into an aquifer as an emplaced source or a controlled release may not meet the above definition of case studies, but some are included because the overall goal is to impart lessons learned from detailed field studies. It is impossible to cover all case studies in this short format. Conversely, focusing on one or two does not convey the breadth of research results in entire range of case studies. Instead, the strategy is to describe the evolution of knowledge for each contaminant class while providing citations of relevant case studies. Much of the progress in understanding of the fate of contaminants in groundwater is based on laboratory studies; thus whenever possible, papers that included both field and laboratory results have been included among the citations. Two topics of growing importance have not been covered. These are the fate of pharmaceuticals in groundwater and discharge of contaminant plumes to surface water. These topics merit coverage in the future as knowledge grows and case studies increase in number.</p></div>","language":"English","publisher":"Oxford Bibliographies","doi":"10.1093/OBO/9780199363445-0096","usgsCitation":"Bekins, B.A., 2019, Case studies in groundwater contaminant fate and transport: Environmental Science, https://doi.org/10.1093/OBO/9780199363445-0096.","ipdsId":"IP-094115","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":369352,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bekins, Barbara A. 0000-0002-1411-6018 babekins@usgs.gov","orcid":"https://orcid.org/0000-0002-1411-6018","contributorId":1348,"corporation":false,"usgs":true,"family":"Bekins","given":"Barbara","email":"babekins@usgs.gov","middleInitial":"A.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":775613,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70203386,"text":"70203386 - 2019 - Arsenic concentrations after drinking water well installation: Time-varying effects on arsenic mobilization","interactions":[],"lastModifiedDate":"2019-06-18T12:02:06","indexId":"70203386","displayToPublicDate":"2019-04-25T09:33:18","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Arsenic concentrations after drinking water well installation: Time-varying effects on arsenic mobilization","docAbstract":"Chronic exposure to geogenic arsenic via drinking water is a worldwide health concern. However, effects of well installation and operation on arsenic concentrations and mobilization are not well understood. This knowledge gap impacts both reliable detection of arsenic in drinking water and effective public health recommendations to reduce exposure to arsenic. This study examines changes in arsenic and redox geochemistry over one year following installation of 254 new domestic water wells in three regions of the north-central USA that commonly have elevated arsenic concentrations. Our regions' geologic settings share some important characteristics with other high-arsenic aquifers: igneous bedrock aquifers; or late Pleistocene-age glacial sand and gravel aquifers interbedded with aquitards. Over the study, arsenic concentrations increased by 16% or more in 25% of wells in glacial aquifer regions, and the redox conditions changed towards more reducing. In wells in the bedrock region, there was no significant change in arsenic concentrations, and redox conditions changed towards more oxidizing. Our findings illustrate the importance of understanding short- to moderate-term impacts of well installation and operation on arsenic and aqueous chemistry, as it relates to human exposure. Our study informs water quality sampling requirements, which currently do not consider the implications sampling timing with respect to well installation. Evaluating arsenic concentrations in samples from new wells in the context of general regional pH and redox conditions can provide information regarding the degree of disequilibrium created by well drilling. Our analysis approach may be transferable and scalable to similar aquifer settings across the globe.","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2019.04.362","usgsCitation":"Erickson, M., Malenda, H.F., Berquist, E.C., and Ayotte, J.D., 2019, Arsenic concentrations after drinking water well installation: Time-varying effects on arsenic mobilization: Science of the Total Environment, v. 678, p. 681-691, https://doi.org/10.1016/j.scitotenv.2019.04.362.","productDescription":"11 p.","startPage":"681","endPage":"691","ipdsId":"IP-090484","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":467673,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2019.04.362","text":"Publisher Index Page"},{"id":363660,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Mines","active":true,"usgs":false}],"preferred":true,"id":762443,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Berquist, Emily C.","contributorId":202174,"corporation":false,"usgs":false,"family":"Berquist","given":"Emily","email":"","middleInitial":"C.","affiliations":[{"id":36357,"text":"Minnesota Department of Health","active":true,"usgs":false}],"preferred":false,"id":762444,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ayotte, Joseph D. 0000-0002-1892-2738 jayotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1892-2738","contributorId":149619,"corporation":false,"usgs":true,"family":"Ayotte","given":"Joseph","email":"jayotte@usgs.gov","middleInitial":"D.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":762445,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203185,"text":"70203185 - 2019 - Comment on “Particle fluxes in groundwater change subsurface rock chemistry over geologic time”","interactions":[],"lastModifiedDate":"2019-04-25T06:29:42","indexId":"70203185","displayToPublicDate":"2019-04-25T06:23:25","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Comment on “Particle fluxes in groundwater change subsurface rock chemistry over geologic time”","docAbstract":"<p id=\"pr0020\"><span>Over the last decade, studies at the&nbsp;Shale&nbsp;Hills Critical Zone&nbsp;Observatory&nbsp;(Shale Hills) have greatly expanded knowledge of weathering in previously understudied, shale-mantled terrains, as well as Earth's Critical Zone as a whole. Among the many discoveries made was the importance of redistribution and losses of micron-sized particles during development of shale-derived soils. A geochemical fingerprint of this process for Al and Fe was illustrated quantitatively by&nbsp;</span>Jin et al. (2010). Subsequent papers, too numerous to list in a Comment, built upon this new recognition by evaluating the spatial and temporal aspects element mobilization. Recently,<span>&nbsp;</span>Kim et al. (2018)<span>&nbsp;examined the composition of suspended, generally micron-sized particles in the Shale Hills stream, along with the&nbsp;dissolved load, across seasons and ranges of discharge.</span></p><p id=\"pr0030\">One prominent conclusion from<span>&nbsp;</span>Kim et al. (2018)<span>&nbsp;</span>is that Zr is essentially immobile at Shale Hills. Such a broad conclusion is in direct contradiction with one from<span>&nbsp;</span>Bern and Yesavage (2018)<span>&nbsp;</span>that Zr has been mobilized from soils at Shale Hills, and the losses relative to soil parent material are significant (median 41%). The point is important, because assuming Zr immobility is necessary to index gains and losses of other elements using the open-chemical-system transport function (<i>τ</i><span>). Both papers draw upon patterns and calculations using elemental concentration data from Shale Hills and attempt to construct&nbsp;conceptual frameworks&nbsp;to explain the results. Here, the argument is made that the understanding of substantial Zr mobility from soils at Shale Hills described by&nbsp;</span>Bern and Yesavage (2018)<span>&nbsp;</span>is more accurate. Additionally, issues with adaptations of the standard<span>&nbsp;</span><i>τ</i><span>&nbsp;</span>equations used in<span>&nbsp;</span>Kim et al. (2018)<span>&nbsp;</span>and some previous papers are also addressed.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2019.02.014","usgsCitation":"Bern, C.R., and Yesavage, T., 2019, Comment on “Particle fluxes in groundwater change subsurface rock chemistry over geologic time”: Earth and Planetary Science Letters, v. 514, p. 166-168, https://doi.org/10.1016/j.epsl.2019.02.014.","productDescription":"3 p.","startPage":"166","endPage":"168","ipdsId":"IP-102182","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":363221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Shale Hills Critical Zone Observatory ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78.17596435546875,\n              40.4323142901375\n            ],\n            [\n              -77.33001708984375,\n              40.4323142901375\n            ],\n            [\n              -77.33001708984375,\n              40.967455873296714\n            ],\n            [\n              -78.17596435546875,\n              40.967455873296714\n            ],\n            [\n              -78.17596435546875,\n              40.4323142901375\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"514","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bern, Carleton R. 0000-0002-8980-1781 cbern@usgs.gov","orcid":"https://orcid.org/0000-0002-8980-1781","contributorId":201152,"corporation":false,"usgs":true,"family":"Bern","given":"Carleton","email":"cbern@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":761537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yesavage, Tiffany 0000-0001-9433-763X","orcid":"https://orcid.org/0000-0001-9433-763X","contributorId":215057,"corporation":false,"usgs":false,"family":"Yesavage","given":"Tiffany","email":"","affiliations":[{"id":39167,"text":"USGS Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":false}],"preferred":false,"id":761538,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70216034,"text":"70216034 - 2019 - Estimation bias in water-quality constituent concentrations and fluxes: A synthesis for Chesapeake Bay rivers and streams","interactions":[],"lastModifiedDate":"2020-11-04T00:26:49.503344","indexId":"70216034","displayToPublicDate":"2019-04-24T18:23:50","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Estimation bias in water-quality constituent concentrations and fluxes: A synthesis for Chesapeake Bay rivers and streams","docAbstract":"<div class=\"JournalAbstract\"><p>Flux quantification for riverine water-quality constituents has been an active area of research. Statistical approaches are often employed to make estimation for days without observations. One such approach is the Weighted Regressions on Time, Discharge, and Season (WRTDS) method. While WRTDS has been used in many investigations, there is a general lack of effort to identify factors that influence its estimation bias. This work was aimed to (1) synthesize and compare WRTDS estimation bias for constituent concentrations and fluxes for rivers and streams in the Chesapeake Bay watershed (including headwater sites) and (2) identify controlling factors from five broad categories (watershed size, sampling practice, concentration and discharge conditions, land use, and geology). Five major constituents were considered, namely, suspended sediment (SS), total phosphorus (TP), total nitrogen (TN), orthophosphate (PO<sub>4</sub>), and nitrate-plus-nitrite (NO<sub>x</sub>). For both concentration and flux, estimation bias follows the general order of SS &gt; TP &gt; PO<sub>4</sub><span>&nbsp;</span>&gt; TN ≈ NO<sub>x</sub>. Median TN and NO<sub>x</sub><span>&nbsp;</span>bias statistics were near zero, with an equal distribution of small positive and negative bias. TP, PO<sub>4</sub>, and SS each showed a median positive bias across sites of &lt;18% for flux and &lt;7% for concentration. Particulate constituents, especially SS, tend to have larger bias at sites with smaller sampling frequencies, shorter sampling record lengths, and smaller watershed sizes. Results of multivariate models showed that both flux and concentration biases are most affected by concentration and discharge variabilities and the length of concentration record. In comparison, flux bias of particulate constituents is more affected by flow variability, whereas flux bias of dissolved constituents is more affected by concentration variability. Moreover, analysis using classification and regression trees provided additional information on how the factors affected flux bias: when all site-constituent combinations are considered, large flux biases are more likely associated with sites that have large concentration and discharge variabilities, small lengths of concentration record, and small sampling frequencies. These results may be useful for identifying sites with large biases, modifying monitoring practice at existing sites to reduce those biases, and choosing new monitoring locations in the Chesapeake watershed and beyond.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/fevo.2019.00109","usgsCitation":"Zhang, Q., Blomquist, J.D., Moyer, D.L., and Chanat, J.G., 2019, Estimation bias in water-quality constituent concentrations and fluxes: A synthesis for Chesapeake Bay rivers and streams: Frontiers in Ecology and Evolution, v. 7, 109, 16 p., https://doi.org/10.3389/fevo.2019.00109.","productDescription":"109, 16 p.","ipdsId":"IP-103760","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":467675,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2019.00109","text":"Publisher Index Page"},{"id":380099,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78.57421875,\n              37.23032838760387\n            ],\n            [\n              -74.8828125,\n              37.23032838760387\n            ],\n            [\n              -74.8828125,\n              42.00032514831621\n            ],\n            [\n              -78.57421875,\n              42.00032514831621\n            ],\n            [\n              -78.57421875,\n              37.23032838760387\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"7","noUsgsAuthors":false,"publicationDate":"2019-04-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Qian 0000-0003-0500-5655","orcid":"https://orcid.org/0000-0003-0500-5655","contributorId":174393,"corporation":false,"usgs":false,"family":"Zhang","given":"Qian","email":"","affiliations":[{"id":38802,"text":"University of Maryland Center for Environmental Studies","active":true,"usgs":false}],"preferred":false,"id":803832,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blomquist, Joel D. 0000-0002-0140-6534","orcid":"https://orcid.org/0000-0002-0140-6534","contributorId":215461,"corporation":false,"usgs":true,"family":"Blomquist","given":"Joel","middleInitial":"D.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":803833,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moyer, Douglas L. 0000-0001-6330-478X dlmoyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6330-478X","contributorId":174389,"corporation":false,"usgs":true,"family":"Moyer","given":"Douglas","email":"dlmoyer@usgs.gov","middleInitial":"L.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":803834,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chanat, Jeffrey G. 0000-0002-3629-7307 jchanat@usgs.gov","orcid":"https://orcid.org/0000-0002-3629-7307","contributorId":5062,"corporation":false,"usgs":true,"family":"Chanat","given":"Jeffrey","email":"jchanat@usgs.gov","middleInitial":"G.","affiliations":[{"id":614,"text":"Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":803835,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70203127,"text":"70203127 - 2019 - Efficacy of eDNA as an early detection indicator for Burmese pythons in the ARM Loxahatchee National Wildlife Refuge in the Greater Everglades Ecosystem","interactions":[],"lastModifiedDate":"2019-08-16T15:41:12","indexId":"70203127","displayToPublicDate":"2019-04-24T08:06:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Efficacy of eDNA as an early detection indicator for Burmese pythons in the ARM Loxahatchee National Wildlife Refuge in the Greater Everglades Ecosystem","docAbstract":"Environmental DNA (eDNA) detection of invasive species can be used to delimited occupied ranges and estimate probabilities to inform management decisions. Environmental DNA is shed into the environment through skin cells and bodily fluids and can be detected in water samples collected from lakes, rivers, and swamps. In south Florida, invasive Burmese pythons occupy much of the Greater Everglades in mostly inaccessible habitat and are credited with causing severe declines of native species’ populations.  Detection of Burmese pythons by traditional methods, such as trapping and visual searching, have been largely ineffective, making eDNA a superior method for differentiating invaded habitat. We adapted a quantitative PCR eDNA assay for droplet digital PCR, a state-of-the-art method that improves precision and accuracy. From August 2014 to October 2016, locations in and around Arthur R. Marshall Loxahatchee National Wildlife Refuge in southeast Florida were surveyed for Burmese python eDNA. The Refuge is maintained to provide water storage and is considered one of the last remnants of the northern Everglades wetlands. Positive eDNA detections were made at each of the five sampling events, assessing a total of 399 samples, with moderate occurrence (ψ=58-91%) and detection (p=40-70%) probabilities, potentially reduced by high PCR inhibition-levels. The high occurrence rates and geographic distribution of the positive samples within the Refuge suggests a steady release of python eDNA from a resident Burmese python population and reduces support for primarily transport of eDNA through boats or flowing water from the north. The first confirmed sighting of a Burmese python in the Refuge occurred in September 2016, after eDNA testing had indicated the presence of pythons. An established population is not expected this far north, however, the detections likely indicate northern range limit of a consistent population at Loxahatchee on the eastern side of the Florida peninsula. Our study demonstrates the benefit of eDNA for determining more accurate range limits and expansion information for Burmese pythons, as well as laying the foundation for the assessment of control efforts.","language":"English","publisher":"Elsevier ","doi":"10.1016/j.ecolind.2019.02.058","usgsCitation":"Hunter, M., Meigs-Friend, G., Ferrante, J., Smith, B., and Hart, K., 2019, Efficacy of eDNA as an early detection indicator for Burmese pythons in the ARM Loxahatchee National Wildlife Refuge in the Greater Everglades Ecosystem: Ecological Indicators, v. 102, p. 617-622, https://doi.org/10.1016/j.ecolind.2019.02.058.","productDescription":"6 p.","startPage":"617","endPage":"622","ipdsId":"IP-101888","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":460399,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2019.02.058","text":"Publisher Index Page"},{"id":363161,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.199951171875,\n              25.110471486223346\n            ],\n            [\n              -80.364990234375,\n              25.110471486223346\n            ],\n            [\n              -80.364990234375,\n              25.517657429994035\n            ],\n            [\n              -81.199951171875,\n              25.517657429994035\n            ],\n            [\n              -81.199951171875,\n              25.110471486223346\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"102","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hunter, Margaret 0000-0002-4760-9302","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":214948,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":761289,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meigs-Friend, Gaia 0000-0001-5181-7510","orcid":"https://orcid.org/0000-0001-5181-7510","contributorId":214949,"corporation":false,"usgs":true,"family":"Meigs-Friend","given":"Gaia","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":761290,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ferrante, Jason 0000-0003-3453-4636","orcid":"https://orcid.org/0000-0003-3453-4636","contributorId":214950,"corporation":false,"usgs":true,"family":"Ferrante","given":"Jason","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":761291,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Brian 0000-0002-0531-0492","orcid":"https://orcid.org/0000-0002-0531-0492","contributorId":214951,"corporation":false,"usgs":true,"family":"Smith","given":"Brian","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":761292,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":214952,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":761293,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70215103,"text":"70215103 - 2019 - Evaluation of a Chicken 600K SNP genotyping array in non-model species of grouse","interactions":[],"lastModifiedDate":"2020-10-07T15:53:33.666983","indexId":"70215103","displayToPublicDate":"2019-04-23T10:49:49","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of a Chicken 600K SNP genotyping array in non-model species of grouse","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>The use of single nucleotide polymorphism (SNP) arrays to generate large SNP datasets for comparison purposes have recently become an attractive alternative to other genotyping methods. Although most SNP arrays were originally developed for domestic organisms, they can be effectively applied to wild relatives to obtain large panels of SNPs. In this study, we tested the cross-species application of the Affymetrix 600K Chicken SNP array in five species of North American prairie grouse (<i>Centrocercus</i><span>&nbsp;</span>and<span>&nbsp;</span><i>Tympanuchus</i><span>&nbsp;</span>genera). Two individuals were genotyped per species for a total of ten samples. A high proportion (91%) of the total 580 961 SNPs were genotyped in at least one individual (73–76% SNPs genotyped per species). Principal component analysis with autosomal SNPs separated the two genera, but failed to clearly distinguish species within genera. Gene ontology analysis identified a set of genes related to morphogenesis and development (including genes involved in feather development), which may be primarily responsible for large phenotypic differences between<span>&nbsp;</span><i>Centrocercus</i><span>&nbsp;</span>and<span>&nbsp;</span><i>Tympanuchus</i><span>&nbsp;</span>grouse. Our study provided evidence for successful cross-species application of the chicken SNP array in grouse which diverged ca. 37 mya from the chicken lineage. As far as we are aware, this is the first reported application of a SNP array in non-passerine birds, and it demonstrates the feasibility of using commercial SNP arrays in research on non-model bird species.</p></div></div><div id=\"Sec1-section\" class=\"c-article-section\"><br></div>","language":"English","publisher":"Nature","doi":"10.1038/s41598-019-42885-5","usgsCitation":"Minias, P., Dunn, P.O., Whittingham, L.A., Johnson, J.A., and Oyler-McCance, S.J., 2019, Evaluation of a Chicken 600K SNP genotyping array in non-model species of grouse: Scientific Reports, v. 9, 6407, 10 p., https://doi.org/10.1038/s41598-019-42885-5.","productDescription":"6407, 10 p.","ipdsId":"IP-105265","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":467679,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-019-42885-5","text":"Publisher Index Page"},{"id":379178,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","noUsgsAuthors":false,"publicationDate":"2019-04-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Minias, Piotr","contributorId":168775,"corporation":false,"usgs":false,"family":"Minias","given":"Piotr","email":"","affiliations":[{"id":25360,"text":"University of Lodz","active":true,"usgs":false}],"preferred":false,"id":800878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunn, Peter O.","contributorId":168778,"corporation":false,"usgs":false,"family":"Dunn","given":"Peter","email":"","middleInitial":"O.","affiliations":[{"id":7200,"text":"University of Wisconsin-Milwaukee","active":true,"usgs":false}],"preferred":false,"id":800879,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whittingham, Linda A.","contributorId":168777,"corporation":false,"usgs":false,"family":"Whittingham","given":"Linda","email":"","middleInitial":"A.","affiliations":[{"id":7200,"text":"University of Wisconsin-Milwaukee","active":true,"usgs":false}],"preferred":false,"id":800880,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Jeff A.","contributorId":196578,"corporation":false,"usgs":false,"family":"Johnson","given":"Jeff","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":800881,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":800882,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
]}