{"pageNumber":"449","pageRowStart":"11200","pageSize":"25","recordCount":69053,"records":[{"id":70173471,"text":"70173471 - 2016 - Effects of hydrology, watershed size, and agricultural practices on sediment yields in two river basins in Iowa and Mississippi","interactions":[],"lastModifiedDate":"2016-06-16T11:32:04","indexId":"70173471","displayToPublicDate":"2016-06-07T17:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2456,"text":"Journal of Soil and Water Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Effects of hydrology, watershed size, and agricultural practices on sediment yields in two river basins in Iowa and Mississippi","docAbstract":"The specific sediment yield (SSY) from watersheds is the result of the balance between natural, scale-dependent erosion and deposition processes, but can be greatly altered by human activities. In general, the SSY decreases along the course of a river as sediments are trapped in alluvial plains and other sinks. However, this relation between SSY and basin area can actually be an increasing one when there is a predominance of channel erosion relative to hillslope erosion. The US Geological Survey (USGS) conducted a study of suspended sediment in the Iowa River basin (IRB), Iowa, and the Yazoo River basin (YRB), Mississippi, from 2006 through 2008. Within each river basin, the SSY from four largely agricultural watersheds of various sizes (2.3 to 35,000 km2 [0.9 to 13,513 mi2]) was investigated. In the smallest watersheds, YRB sites had greater SSY compared to IRB sites due to higher rain erosivity, more erodible soils, more overland flow, and fluvial geomorphological differences. Watersheds in the YRB showed a steady decrease in SSY with increasing drainage basin area, whereas in the IRB, the maximum SSY occurred at the 30 to 500 km2 (11.6 to 193 mi2) scale. Subsurface tile drainage and limits to channel downcutting restrict the upstream migration of sediment sources in the IRB. Nevertheless, by comparing the SSY-basin size scaling relationships with estimated rates of field erosion under conservation and conventional tillage treatments reported in previous literature, we show evidence that the SSY-basin size relationship in both the IRB and YRB remain impacted by historical erosion rates that occurred prior to conservation efforts.
","language":"English","publisher":"Soil and Water Conservation Society","doi":"10.2489/jswc.71.3.267","usgsCitation":"Merten, G., Welch, H.L., and Tomer, M., 2016, Effects of hydrology, watershed size, and agricultural practices on sediment yields in two river basins in Iowa and Mississippi: Journal of Soil and Water Conservation, v. 71, no. 3, p. 267-278, https://doi.org/10.2489/jswc.71.3.267.","productDescription":"11 p.","startPage":"267","endPage":"278","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066515","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":470903,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2489/jswc.71.3.267","text":"Publisher Index Page"},{"id":323213,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, Mississippi","otherGeospatial":"Iowa 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M.D.","contributorId":77359,"corporation":false,"usgs":true,"family":"Tomer","given":"M.D.","email":"","affiliations":[],"preferred":false,"id":637173,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70173659,"text":"70173659 - 2016 - Discharge and nutrient transport between lakes in a hydrologically complex area of Voyageurs National Park, Minnesota, 2010-2012","interactions":[],"lastModifiedDate":"2016-06-07T15:31:49","indexId":"70173659","displayToPublicDate":"2016-06-07T16:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Discharge and nutrient transport between lakes in a hydrologically complex area of Voyageurs National Park, Minnesota, 2010-2012","docAbstract":"An acoustic Doppler velocity meter (ADVM) was deployed in the narrows between Namakan and Kabetogama Lakes in Voyageurs National Park, Minnesota, from November 3, 2010, through October 3, 2012. The ADVM can account for wind, seiche, and changing flow direction in hydrologically complex areas. The objectives were to (1) estimate discharge and document the direction of water flow, (2) assess whether specific conductance can be used to determine flow direction, and (3) document nutrient and chlorophyll a concentrations at the narrows. The discharge direction through the narrows was seasonal. Water generally flowed out of Kabetogama Lake and into Namakan Lake throughout the ice-covered season. During spring, water flow was generally from Namakan Lake to Kabetogama Lake. During the summer and fall, the water flowed in both directions, affected in part by wind. Water flowed into Namakan Lake 70% of water year 2011 and 56% of water year 2012. Nutrient and chlorophyll a concentrations were highest during the summer months when water-flow direction was unpredictable. The use of an ADVM was effective for assessing flow direction and provided flow direction under ice. The results indicated the eutrophic Kabetogama Lake may have a negative effect on the more pristine Namakan Lake. The results also provide data on the effects of the current water-level management plan and may help determine if adjustments are necessary to help protect the aquatic ecosystem of Voyageurs National Park.
","language":"English","publisher":"American Water Resources Association","doi":"10.1111/1752-1688.12412","collaboration":"National Park Service","usgsCitation":"Christensen, V.G., Wakeman, E., and Maki, R., 2016, Discharge and nutrient transport between lakes in a hydrologically complex area of Voyageurs National Park, Minnesota, 2010-2012: Journal of the American Water Resources Association, v. 52, no. 3, p. 578-591, https://doi.org/10.1111/1752-1688.12412.","productDescription":"14 p.","startPage":"578","endPage":"591","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-025168","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":323203,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"Voyageurs National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.17779541015624,\n 48.423277147739206\n ],\n [\n -93.17779541015624,\n 48.62337807671534\n ],\n [\n -92.62779235839844,\n 48.62337807671534\n ],\n [\n -92.62779235839844,\n 48.423277147739206\n ],\n [\n -93.17779541015624,\n 48.423277147739206\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"52","issue":"3","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-16","publicationStatus":"PW","scienceBaseUri":"5757e21ee4b04f417c242691","contributors":{"authors":[{"text":"Christensen, Victoria G. 0000-0003-4166-7461 vglenn@usgs.gov","orcid":"https://orcid.org/0000-0003-4166-7461","contributorId":2354,"corporation":false,"usgs":true,"family":"Christensen","given":"Victoria","email":"vglenn@usgs.gov","middleInitial":"G.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":637465,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wakeman, Eric ewakeman@usgs.gov","contributorId":171444,"corporation":false,"usgs":true,"family":"Wakeman","given":"Eric","email":"ewakeman@usgs.gov","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":637466,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maki, Ryan P.","contributorId":100111,"corporation":false,"usgs":true,"family":"Maki","given":"Ryan P.","affiliations":[],"preferred":false,"id":637467,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70173684,"text":"70173684 - 2016 - Thyroid endocrine disruption and external body morphology of Zebrafish","interactions":[],"lastModifiedDate":"2016-06-07T15:05:18","indexId":"70173684","displayToPublicDate":"2016-06-07T16:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1738,"text":"General and Comparative Endocrinology","active":true,"publicationSubtype":{"id":10}},"title":"Thyroid endocrine disruption and external body morphology of Zebrafish","docAbstract":"This study examined the effects thyroid-active compounds during early development on body morphology of Zebrafish (Danio rerio). Three-day postfertilization (dpf) larvae were exposed to goitrogen [methimazole (MZ, 0.15 mM)], combination of MZ (0.15 mM) and thyroxine (T4, 2 nM), T4 (2 nM), or control (reconstituted water) treatments until 33 dpf and subsequently maintained in reconstituted water until 45 dpf. Samples were taken at 33 and 45 dpf for multivariate analysis of geometric distances between selected homologous landmarks placed on digital images of fish, and for histological assessment of thyrocytes. Body mass, standard length, and pectoral fin length were separately measured on remaining fish at 45 dpf. Histological analysis confirmed the hypothyroid effect (increased thyrocyte height) of MZ and rescue effect of T4 co-administration. Geometric distance analysis showed that pectoral and pelvic fins shifted backward along the rostrocaudal axis under hypothyroid conditions at 45 dpf and that T4 co-treatment prevented this shift. Pectoral fin length at 45 dpf was reduced by exposure to MZ and rescued by co-administration of T4, but it was not associated with standard length. Methimazole caused a reduction in body mass and length at 45 dpf that could not be rescued by T4 co-administration, and non-thyroidal effects of MZ on body shape were also recognized at 33 and 45 dpf. Alterations in the length and position of paired fins caused by exposure to thyroid-disrupting chemicals during early development, as shown here for Zebrafish, could affect physical aspects of locomotion and consequently other important organismal functions such as foraging, predator avoidance, and ultimately survival and recruitment into the adult population. Results of this study also suggest the need to include rescue treatments in endocrine disruption studies that rely on goitrogens as reference for thyroid-mediated effects.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ygcen.2015.12.023","usgsCitation":"Sharma, P., Grabowski, T.B., and Patino, R., 2016, Thyroid endocrine disruption and external body morphology of Zebrafish: General and Comparative Endocrinology, v. 226, p. 42-49, https://doi.org/10.1016/j.ygcen.2015.12.023.","productDescription":"8 p.","startPage":"42","endPage":"49","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-041397","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":323193,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"226","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5757e220e4b04f417c2426b2","contributors":{"authors":[{"text":"Sharma, Prakash","contributorId":107435,"corporation":false,"usgs":true,"family":"Sharma","given":"Prakash","email":"","affiliations":[],"preferred":false,"id":637580,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grabowski, Timothy B. 0000-0001-9763-8948 tgrabowski@usgs.gov","orcid":"https://orcid.org/0000-0001-9763-8948","contributorId":4178,"corporation":false,"usgs":true,"family":"Grabowski","given":"Timothy","email":"tgrabowski@usgs.gov","middleInitial":"B.","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":637505,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":637581,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70173698,"text":"70173698 - 2016 - Estimating population density and connectivity of American mink using spatial capture-recapture","interactions":[],"lastModifiedDate":"2016-06-16T11:30:22","indexId":"70173698","displayToPublicDate":"2016-06-07T14:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Estimating population density and connectivity of American mink using spatial capture-recapture","docAbstract":"Estimating the abundance or density of populations is fundamental to the conservation and management of species, and as landscapes become more fragmented, maintaining landscape connectivity has become one of the most important challenges for biodiversity conservation. Yet these two issues have never been formally integrated together in a model that simultaneously models abundance while accounting for connectivity of a landscape. We demonstrate an application of using capture–recapture to develop a model of animal density using a least-cost path model for individual encounter probability that accounts for non-Euclidean connectivity in a highly structured network. We utilized scat detection dogs (Canis lupus familiaris) as a means of collecting non-invasive genetic samples of American mink (Neovison vison) individuals and used spatial capture–recapture models (SCR) to gain inferences about mink population density and connectivity. Density of mink was not constant across the landscape, but rather increased with increasing distance from city, town, or village centers, and mink activity was associated with water. The SCR model allowed us to estimate the density and spatial distribution of individuals across a 388 km2 area. The model was used to investigate patterns of space usage and to evaluate covariate effects on encounter probabilities, including differences between sexes. This study provides an application of capture–recapture models based on ecological distance, allowing us to directly estimate landscape connectivity. This approach should be widely applicable to provide simultaneous direct estimates of density, space usage, and landscape connectivity for many species.
","language":"English","publisher":"Ecological Society of America","doi":"10.1890/15-0315","usgsCitation":"Fuller, A.K., Sutherland, C.S., Royle, A., and Hare, M.P., 2016, Estimating population density and connectivity of American mink using spatial capture-recapture: Ecological Applications, v. 26, no. 4, p. 1125-1135, https://doi.org/10.1890/15-0315.","productDescription":"11 p.","startPage":"1125","endPage":"1135","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060020","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323110,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"4","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-08","publicationStatus":"PW","scienceBaseUri":"5757e21ee4b04f417c24269a","contributors":{"authors":[{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637520,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sutherland, Christopher S.","contributorId":139375,"corporation":false,"usgs":false,"family":"Sutherland","given":"Christopher","email":"","middleInitial":"S.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":637521,"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":637522,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hare, Matthew P.","contributorId":171454,"corporation":false,"usgs":false,"family":"Hare","given":"Matthew","email":"","middleInitial":"P.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":637523,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70173701,"text":"70173701 - 2016 - Monitoring the status of Gray Bats (Myotis grisescens in Virginia, 2009-2014, and potential impacts of White-nose Syndrome","interactions":[],"lastModifiedDate":"2026-02-05T16:28:37.501902","indexId":"70173701","displayToPublicDate":"2016-06-07T14:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Monitoring the status of Gray Bats (Myotis grisescens) in Virginia, 2009-2014, and potential impacts of White-nose Syndrome","title":"Monitoring the status of Gray Bats (Myotis grisescens in Virginia, 2009-2014, and potential impacts of White-nose Syndrome","docAbstract":"Myotis grisescens (Gray Bat) is a federally endangered species distributed over the mid-South with a summer range that extends across the upper Tennessee River Basin, including southwest Virginia. Given the onset of White-nose Syndrome (WNS) in the Commonwealth in the winter of 2009, we initiated yearly surveys in late summer 2009 to monitor the status of known summer populations. Our objectives were to examine the relative health of these bats using body mass index (BMI), and determine any changes in juvenile recruitment across sites and years. We did not find any marked changes in BMI across years after WNS for Gray Bats. This finding suggests that surviving bats are either not negatively impacted by WNS or have recovered sufficiently by late summer as to not document obvious differences across years. After limiting our analyses of juvenile recruitment to only the individuals that we had definitively aged via backlit photos (2010–2014), we found a non-significant declining trend in juvenile recruitment; a trend that merits continued monitoring in the years to come. As Gray Bats have only recently shown to be susceptible to WNS infection, it is possible that observable population declines are forthcoming.
","language":"English","publisher":"Eagle Hill Institute","doi":"10.1656/058.015.0114","usgsCitation":"Powers, K.E., Reynolds, R., Orndorff, W., Hyzy, B.A., Hobson, C.S., and Ford, W.M., 2016, Monitoring the status of Gray Bats (Myotis grisescens in Virginia, 2009-2014, and potential impacts of White-nose Syndrome: Southeastern Naturalist, v. 15, no. 1, p. 127-137, https://doi.org/10.1656/058.015.0114.","productDescription":"11 p.","startPage":"127","endPage":"137","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068509","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":503819,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://zotero.org/groups/5435545/items/VVDV64GP","text":"External Repository"},{"id":323108,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.74951171875,\n 37.37015718405753\n ],\n [\n -80.7440185546875,\n 36.54936246839778\n ],\n [\n -83.69384765625,\n 36.5978891330702\n ],\n [\n -83.12255859375,\n 36.74328605437939\n ],\n [\n -82.71881103515625,\n 37.125286284966805\n ],\n [\n -82.33428955078125,\n 37.28497995025375\n ],\n [\n -81.97174072265625,\n 37.53804390907164\n ],\n [\n -81.74652099609375,\n 37.276238364942955\n ],\n [\n -81.595458984375,\n 37.204081555898526\n ],\n [\n -81.34552001953125,\n 37.34177550214858\n ],\n [\n -81.21917724609375,\n 37.23907530202184\n ],\n [\n -80.92529296875,\n 37.31338308990806\n ],\n [\n -80.85937499999999,\n 37.42252593456307\n ],\n [\n -80.74951171875,\n 37.37015718405753\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"15","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5757e220e4b04f417c2426aa","contributors":{"authors":[{"text":"Powers, Karen E.","contributorId":171456,"corporation":false,"usgs":false,"family":"Powers","given":"Karen","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":637535,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reynolds, Richard J.","contributorId":343165,"corporation":false,"usgs":false,"family":"Reynolds","given":"Richard J.","affiliations":[{"id":56188,"text":"Virginia Department of Wildlife Resources","active":true,"usgs":false}],"preferred":false,"id":637536,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Orndorff, Wil","contributorId":127487,"corporation":false,"usgs":false,"family":"Orndorff","given":"Wil","affiliations":[{"id":6970,"text":"Virginia Department of Conservation and Recreation, Natural Heritage Program","active":true,"usgs":false}],"preferred":false,"id":637537,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hyzy, Brenna A.","contributorId":171457,"corporation":false,"usgs":false,"family":"Hyzy","given":"Brenna","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":637538,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hobson, Christopher S.","contributorId":171458,"corporation":false,"usgs":false,"family":"Hobson","given":"Christopher","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":637539,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ford, W. Mark wford@usgs.gov","contributorId":3858,"corporation":false,"usgs":true,"family":"Ford","given":"W.","email":"wford@usgs.gov","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":637527,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70173702,"text":"70173702 - 2016 - Seeing the forest through the trees: Considering roost-site selection at multiple spatial scales","interactions":[],"lastModifiedDate":"2016-06-07T12:52:20","indexId":"70173702","displayToPublicDate":"2016-06-07T13:45:00","publicationYear":"2016","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":"Seeing the forest through the trees: Considering roost-site selection at multiple spatial scales","docAbstract":"Conservation of bat species is one of the most daunting wildlife conservation challenges in North America, requiring detailed knowledge about their ecology to guide conservation efforts. Outside of the hibernating season, bats in temperate forest environments spend their diurnal time in day-roosts. In addition to simple shelter, summer roost availability is as critical as maternity sites and maintaining social group contact. To date, a major focus of bat conservation has concentrated on conserving individual roost sites, with comparatively less focus on the role that broader habitat conditions contribute towards roost-site selection. We evaluated roost-site selection by a northern population of federally-endangered Indiana bats (Myotis sodalis) at Fort Drum Military Installation in New York, USA at three different spatial scales: landscape, forest stand, and individual tree level. During 2007–2011, we radiotracked 33 Indiana bats (10 males, 23 females) and located 348 roosting events in 116 unique roost trees. At the landscape scale, bat roost-site selection was positively associated with northern mixed forest, increased slope, and greater distance from human development. At the stand scale, we observed subtle differences in roost site selection based on sex and season, but roost selection was generally positively associated with larger stands with a higher basal area, larger tree diameter, and a greater sugar maple (Acer saccharum) component. We observed no distinct trends of roosts being near high-quality foraging areas of water and forest edges. At the tree scale, roosts were typically in American elm (Ulmus americana) or sugar maple of large diameter (>30 cm) of moderate decay with loose bark. Collectively, our results highlight the importance of considering day roost needs simultaneously across multiple spatial scales. Size and decay class of individual roosts are key ecological attributes for the Indiana bat, however, larger-scale stand structural components that are products of past and current land use interacting with environmental aspects such as landform also are important factors influencing roost-tree selection patterns.
","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0150011","usgsCitation":"Jachowski, D.S., Rota, C., Dobony, C.A., Ford, W.M., and Edwards, J.W., 2016, Seeing the forest through the trees: Considering roost-site selection at multiple spatial scales: PLoS ONE, v. 11, no. 3, e0150011; 19 p., https://doi.org/10.1371/journal.pone.0150011.","productDescription":"e0150011; 19 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064338","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470905,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0150011","text":"Publisher Index Page"},{"id":323107,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-30","publicationStatus":"PW","scienceBaseUri":"5757e220e4b04f417c2426b0","contributors":{"authors":[{"text":"Jachowski, David S.","contributorId":82966,"corporation":false,"usgs":true,"family":"Jachowski","given":"David","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":637531,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rota, Christopher T.","contributorId":92547,"corporation":false,"usgs":true,"family":"Rota","given":"Christopher T.","affiliations":[],"preferred":false,"id":637532,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dobony, Christopher A.","contributorId":171455,"corporation":false,"usgs":false,"family":"Dobony","given":"Christopher","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":637533,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ford, W. Mark wford@usgs.gov","contributorId":169828,"corporation":false,"usgs":false,"family":"Ford","given":"W.","email":"wford@usgs.gov","middleInitial":"Mark","affiliations":[],"preferred":false,"id":637528,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Edwards, John W.","contributorId":169827,"corporation":false,"usgs":false,"family":"Edwards","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":637534,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70173634,"text":"70173634 - 2016 - Efficiency of two-way weirs and prepositioned electrofishing for sampling potamodromous fish migrations","interactions":[],"lastModifiedDate":"2016-06-07T11:45:11","indexId":"70173634","displayToPublicDate":"2016-06-07T12:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Efficiency of two-way weirs and prepositioned electrofishing for sampling potamodromous fish migrations","docAbstract":"Potamodromy (i.e., migration entirely in freshwater) is a common life history strategy of North American lotic fishes, and efficient sampling methods for potamodromous fishes are needed to formulate conservation and management decisions. Many potamodromous fishes inhabit medium-sized rivers and are mobile during spawning migrations, which complicates sampling with conventional gears (e.g., nets and electrofishing). We compared the efficiency of a passive migration technique (resistance board weirs) and an active technique (prepositioned areal electrofishers; [PAEs]) for sampling migrating potamodromous fishes in Valley River, a southern Appalachian Mountain river, from March through July 2006 and 2007. A total of 35 fish species from 10 families were collected, 32 species by PAE and 19 species by weir. Species richness and diversity were higher for PAE catch, and species dominance (i.e., proportion of assemblage composed of the three most abundant species) was higher for weir catch. Prepositioned areal electrofisher catch by number was considerably higher than weir catch, but biomass was lower for PAE catch. Weir catch decreased following the spawning migration, while PAEs continued to collect fish. Sampling bias associated with water velocity was detected for PAEs, but not weirs, and neither gear demonstrated depth bias in wadeable reaches. Mean fish mortality from PAEs was five times greater than that from weirs. Catch efficiency and composition comparisons indicated that weirs were effective at documenting migration chronology, sampling nocturnal migration, and yielding samples unbiased by water velocity or habitat, with low mortality. Prepositioned areal electrofishers are an appropriate sampling technique for seasonal fish occupancy objectives, while weirs are more suitable for quantitatively describing spawning migrations. Our comparative results may guide fisheries scientists in selecting an appropriate sampling gear and regime for research, monitoring, conservation, and management of potamodromous fishes.
","language":"English","publisher":"American Fisheries Society","doi":"10.1080/02755947.2015.1114537","usgsCitation":"Favrot, S.D., and Kwak, T.J., 2016, Efficiency of two-way weirs and prepositioned electrofishing for sampling potamodromous fish migrations: North American Journal of Fisheries Management, v. 36, no. 1, p. 167-182, https://doi.org/10.1080/02755947.2015.1114537.","productDescription":"16 p.","startPage":"167","endPage":"182","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055612","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":323100,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-02","publicationStatus":"PW","scienceBaseUri":"5757e21ee4b04f417c242697","contributors":{"authors":[{"text":"Favrot, Scott D.","contributorId":171445,"corporation":false,"usgs":false,"family":"Favrot","given":"Scott","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":637490,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":637427,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70170488,"text":"sir20165043 - 2016 - Flood-Inundation Maps for Sugar Creek at Crawfordsville, Indiana","interactions":[],"lastModifiedDate":"2016-06-08T10:45:32","indexId":"sir20165043","displayToPublicDate":"2016-06-06T15:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5043","title":"Flood-Inundation Maps for Sugar Creek at Crawfordsville, Indiana","docAbstract":"Digital flood-inundation maps for a 6.5-mile reach of Sugar Creek at Crawfordsville, Indiana, were created by the U.S. Geological Survey (USGS) in cooperation with the Indiana Office of Community and Rural Affairs. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage 03339500, Sugar Creek at Crawfordsville, Ind. Near-real-time stages at this streamgage may be obtained on the Internet from the USGS National Water Information System at http://waterdata.usgs.gov/ or the National Weather Service (NWS) Advanced Hydrologic Prediction Service at http://water.weather.gov/ahps/, which also forecasts flood hydrographs at this site (NWS site CRWI3).
Flood profiles were computed for the USGS streamgage 03339500, Sugar Creek at Crawfordsville, Ind., reach by means of a one-dimensional step-backwater hydraulic modeling software developed by the U.S. Army Corps of Engineers. The hydraulic model was calibrated using the current stage-discharge rating at the USGS streamgage 03339500, Sugar Creek at Crawfordsville, Ind., and high-water marks from the flood of April 19, 2013, which reached a stage of 15.3 feet. The hydraulic model was then used to compute 13 water-surface profiles for flood stages at 1-foot (ft) intervals referenced to the streamgage datum ranging from 4.0 ft (the NWS “action stage”) to 16.0 ft, which is the highest stage interval of the current USGS stage-discharge rating curve and 2 ft higher than the NWS “major flood stage.” The simulated water-surface profiles were then combined with a Geographic Information System digital elevation model (derived from light detection and ranging [lidar]) data having a 0.49-ft root mean squared error and 4.9-ft horizontal resolution) to delineate the area flooded at each stage.
The availability of these maps, along with Internet information regarding current stage from the USGS streamgage and forecasted high-flow stages from the NWS, will provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for post-flood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165043","collaboration":"Prepared in cooperation with the Indiana Office of Community and Rural Affairs","usgsCitation":"Martin, Z.W., 2016, Flood-inundation maps for Sugar Creek at Crawfordsville, Indiana: U.S. Geological Survey Scientific Investigations Report 2016–5043, 11 p., https://dx.doi.org/10.3133/sir20165043.","productDescription":"Report: vi, 11 p.; Metadata; Spatial Data","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-068569","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":322125,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5043/coverthb.jpg"},{"id":322126,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5043/sir20165043.pdf","text":"Report","size":"8.63 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5043"},{"id":322129,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sir/2016/5043/downloads/sir20165043_metadata_depthgrids.txt","text":"Depth Grids","size":"16.1 KB","linkFileType":{"id":2,"text":"txt"},"description":"SIR 2016-5043"},{"id":322130,"rank":3,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sir/2016/5043/downloads/sir20165043_metadata_shapefiles.txt ","text":"Shapefiles","size":"17.6 KB","linkFileType":{"id":2,"text":"txt"},"description":"SIR 2016-5043"},{"id":322131,"rank":5,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sir/2016/5043/downloads/sir20165043_shapefiles.zip","text":"Shapefiles","size":"1.50 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2016-5043"},{"id":322132,"rank":6,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sir/2016/5043/downloads/sir20165043_depthgrids.zip","text":"Depth Grids","size":"11.6 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIR 2016-5043"}],"country":"United States","state":"Indiana","city":"Crawfordsville","otherGeospatial":"Sugar Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.956787109375,\n 40.04115213981706\n ],\n [\n -86.95318222045898,\n 40.035369372460266\n ],\n [\n -86.89807891845703,\n 40.04548889350432\n ],\n [\n -86.88434600830078,\n 40.07557573609214\n ],\n [\n -86.89498901367188,\n 40.07807142745009\n ],\n [\n -86.9073486328125,\n 40.05442436453555\n ],\n [\n -86.92811965942383,\n 40.052322006146916\n ],\n [\n -86.956787109375,\n 40.04115213981706\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Indiana-Kentucky Water Science Center
U.S. Geological Survey
5957 Lakeside Blvd
Indianapolis, IN 46278
http://in.water.usgs.gov/
","tableOfContents":"- Acknowledgments
- Abstract
- Introduction
- Creation of Flood-Inundation-Map Library
- Summary
- References Cited
","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"publishedDate":"2016-06-06","noUsgsAuthors":false,"publicationDate":"2016-06-06","publicationStatus":"PW","scienceBaseUri":"5756909ee4b023b96ec20aa2","contributors":{"authors":[{"text":"Martin, Zachary W. 0000-0001-5779-3548 zmartin@usgs.gov","orcid":"https://orcid.org/0000-0001-5779-3548","contributorId":156296,"corporation":false,"usgs":true,"family":"Martin","given":"Zachary","email":"zmartin@usgs.gov","middleInitial":"W.","affiliations":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":false,"id":627413,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70171306,"text":"70171306 - 2016 - Insights into methane dynamics from analysis of authigenic carbonates and chemosynthetic mussels at newly-discovered Atlantic Margin seeps","interactions":[],"lastModifiedDate":"2016-07-07T10:02:39","indexId":"70171306","displayToPublicDate":"2016-06-03T07:45:00","publicationYear":"2016","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":"Insights into methane dynamics from analysis of authigenic carbonates and chemosynthetic mussels at newly-discovered Atlantic Margin seeps","docAbstract":"The recent discovery of active methane venting along the US northern and mid-Atlantic margin represents a new source of global methane not previously accounted for in carbon budgets from this region. However, uncertainty remains as to the origin and history of methane seepage along this tectonically inactive passive margin. Here we present the first isotopic analyses of authigenic carbonates and methanotrophic deep-sea mussels, Bathymodiolus sp., and the first direct constraints on the timing of past methane emission, based on samples collected at the upper slope Baltimore Canyon (∼385 m water depth) and deepwater Norfolk (∼1600 m) seep fields within the area of newly-discovered venting. The authigenic carbonates at both sites were dominated by aragonite, with an average ![\"View](\"http://ars.els-cdn.com/content/image/1-s2.0-S0012821X16302400-si1.gif\" "\\"View")
signature of −47‰, a value consistent with microbially driven anaerobic oxidation of methane-rich fluids occurring at or near the sediment–water interface. Authigenic carbonate U and Sr isotope data further support the inference of carbonate precipitation from seawater-derived fluids rather than from formation fluids from deep aquifers. Carbonate stable and radiocarbon ( and ![\"View](\"http://ars.els-cdn.com/content/image/1-s2.0-S0012821X16302400-si4.gif\" "\\"View")
) isotope values from living Bathymodiolus sp. specimens are lighter than those of seawater dissolved inorganic carbon, highlighting the influence of fossil carbon from methane on carbonate precipitation. U–Th dates on authigenic carbonates suggest seepage at Baltimore Canyon between 14.7±0.6 ka to 15.7±1.6 ka, and at the Norfolk seep field between 1.0±0.7 ka to 3.3±1.3 ka, providing constraint on the longevity of methane efflux at these sites. The age of the brecciated authigenic carbonates and the occurrence of pockmarks at the Baltimore Canyon upper slope could suggest a link between sediment delivery during Pleistocene sea-level lowstand, accumulation of pore fluid overpressure from sediment compaction, and release of overpressure through subsequent venting. Calculations show that the Baltimore Canyon site probably has not been within the gas hydrate stability zone (GHSZ) in the past 20 ka, meaning that in-situ release of methane from dissociating gas hydrate cannot be sustaining the seep. We cannot rule out updip migration of methane from dissociation of gas hydrate that occurs farther down the slope as a source of the venting at Baltimore Canyon, but consider that the history of rapid sediment accumulation and overpressure may play a more important role in methane emissions at this site.
","language":"English","publisher":"Elsevier BV","doi":"10.1016/j.epsl.2016.05.023","usgsCitation":"Prouty, N.G., Sahy, D., Ruppel, C., Roark, E., Condon, D., Brooke, S., Ross, S., and Demopoulos, A.W., 2016, Insights into methane dynamics from analysis of authigenic carbonates and chemosynthetic mussels at newly-discovered Atlantic Margin seeps: Earth and Planetary Science Letters, v. 449, p. 332-344, https://doi.org/10.1016/j.epsl.2016.05.023.","productDescription":"13 p.","startPage":"332","endPage":"344","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070389","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470913,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1398679","text":"Publisher Index Page"},{"id":322142,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Baltimore Canyon seep fields, Norfolk seep fields","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73,\n 36\n ],\n [\n -73,\n 39\n ],\n [\n -76,\n 39\n ],\n [\n -76,\n 36\n ],\n [\n -73,\n 36\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"449","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57529c1ae4b053f0edd0824c","contributors":{"authors":[{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":630511,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sahy, Diana","contributorId":169649,"corporation":false,"usgs":false,"family":"Sahy","given":"Diana","email":"","affiliations":[{"id":25567,"text":"British Geological Survey","active":true,"usgs":false}],"preferred":false,"id":630513,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruppel, Carolyn D. 0000-0003-2284-6632 cruppel@usgs.gov","orcid":"https://orcid.org/0000-0003-2284-6632","contributorId":145770,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn D.","email":"cruppel@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":630519,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roark, E. Brendan","contributorId":25464,"corporation":false,"usgs":true,"family":"Roark","given":"E. Brendan","affiliations":[],"preferred":false,"id":630512,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Condon, Dan","contributorId":169651,"corporation":false,"usgs":false,"family":"Condon","given":"Dan","email":"","affiliations":[{"id":25567,"text":"British Geological Survey","active":true,"usgs":false}],"preferred":false,"id":630518,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brooke, Sandra","contributorId":101570,"corporation":false,"usgs":true,"family":"Brooke","given":"Sandra","affiliations":[],"preferred":false,"id":630515,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ross, Steve W.","contributorId":41134,"corporation":false,"usgs":false,"family":"Ross","given":"Steve W.","affiliations":[{"id":32398,"text":"University of North Carolina Wilmington","active":true,"usgs":false}],"preferred":false,"id":630517,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Demopoulos, Amanda W.J. 0000-0003-2096-4694 ademopoulos@usgs.gov","orcid":"https://orcid.org/0000-0003-2096-4694","contributorId":145681,"corporation":false,"usgs":true,"family":"Demopoulos","given":"Amanda","email":"ademopoulos@usgs.gov","middleInitial":"W.J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":630516,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70171560,"text":"70171560 - 2016 - Evidence of multiple thermokarst lake generations from an 11800-year-old permafrost core on the northern Seward Peninsula, Alaska","interactions":[],"lastModifiedDate":"2016-10-11T16:09:01","indexId":"70171560","displayToPublicDate":"2016-06-03T07:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1068,"text":"Boreas","active":true,"publicationSubtype":{"id":10}},"title":"Evidence of multiple thermokarst lake generations from an 11800-year-old permafrost core on the northern Seward Peninsula, Alaska","docAbstract":"\n
\n
\n
Permafrost degradation influences the morphology, biogeochemical cycling and hydrology of Arctic landscapes over a range of time scales. To reconstruct temporal patterns of early to late Holocene permafrost and thermokarst dynamics, site-specific palaeo-records are needed. Here we present a multi-proxy study of a 350-cm-long permafrost core from a drained lake basin on the northern Seward Peninsula, Alaska, revealing Lateglacial to Holocene thermokarst lake dynamics in a central location of Beringia. Use of radiocarbon dating, micropalaeontology (ostracods and testaceans), sedimentology (grain-size analyses, magnetic susceptibility, tephra analyses), geochemistry (total nitrogen and carbon, total organic carbon, δ13Corg) and stable water isotopes (δ18O, δD, d excess) of ground ice allowed the reconstruction of several distinct thermokarst lake phases. These include a pre-lacustrine environment at the base of the core characterized by the Devil Mountain Maar tephra (22 800±280 cal. a BP, Unit A), which has vertically subsided in places due to subsequent development of a deep thermokarst lake that initiated around 11 800 cal. a BP (Unit B). At about 9000 cal. a BP this lake transitioned from a stable depositional environment to a very dynamic lake system (Unit C) characterized by fluctuating lake levels, potentially intermediate wetland development, and expansion and erosion of shore deposits. Complete drainage of this lake occurred at 1060 cal. a BP, including post-drainage sediment freezing from the top down to 154 cm and gradual accumulation of terrestrial peat (Unit D), as well as uniform upward talik refreezing. This core-based reconstruction of multiple thermokarst lake generations since 11 800 cal. a BP improves our understanding of the temporal scales of thermokarst lake development from initiation to drainage, demonstrates complex landscape evolution in the ice-rich permafrost regions of Central Beringia during the Lateglacial and Holocene, and enhances our understanding of biogeochemical cycles in thermokarst-affected regions of the Arctic.
\n
\n
\n
\n
Few high-elevation tropical catchments worldwide are gauged and even fewer are studied using combined hydrometric and isotopic data. Consequently, we lack information needed to understand processes governing rainfall-runoff dynamics and to predict their influence on downstream ecosystem functioning. To address this need, we present a combination of hydrometric and water stable isotopic observations in the wet Andean páramo ecosystem of the Zhurucay Ecohydrological Observatory (7.53 km2). The catchment is located in the Andes of south Ecuador between 3400 and 3900 m a.s.l. Water samples for stable isotopic analysis were collected during 2 years (May 2011 – May 2013), while rainfall and runoff measurements were continuously recorded since late 2010. The isotopic data reveal that Andosol soils predominantly situated on hillslopes drain laterally to Histosols (Andean páramo wetlands) mainly located at the valley bottom. Histosols, in turn, feed water to creeks and small rivers throughout the year, establishing hydrologic connectivity between wetlands and the drainage network. Runoff is primarily comprised of pre-event water stored in the Histosols, which is replenished by rainfall that infiltrates through the Andosols. Contributions from the mineral horizon and the top of the fractured bedrock are small and only seem to influence discharge in small catchments during low flow generation (non-exceedance flows < Q35). Variations in source contributions are controlled by antecedent soil moisture, rainfall intensity, and duration of rainy periods. Saturated hydraulic conductivity of the soils, higher than the year-round low precipitation intensity, indicates that Hortonian overland flow rarely occurs during high intensity precipitation events. Deep groundwater contributions to discharge seem to be minimal. These results suggest that, in this high-elevation tropical ecosystem: 1) subsurface flow is a dominant hydrological process and 2) (Histosols) wetlands are the major source of stream runoff. Our study highlights that detailed isotopic characterization during short time periods provides valuable information about ecohydrological processes in regions where very few basins are gauged.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.10927","usgsCitation":"Mosquera, G.M., Celleri, R., Lazo, P.X., Vache, K.B., Perakis, S.S., and Crespo, P., 2016, Combined use of isotopic and hydrometric data to conceptualize ecohydrological processes in a high-elevation tropical ecosystem: Hydrological Processes, v. 30, no. 17, p. 2930-2947, https://doi.org/10.1002/hyp.10927.","productDescription":"18 p.","startPage":"2930","endPage":"2947","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069702","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":470917,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/hyp.10927","text":"External Repository"},{"id":322091,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Ecuador","otherGeospatial":"Zhurucay River Ecohydrological Observatory","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.36572265625,\n 0.37353251022880474\n ],\n [\n -77.2998046875,\n -0.3515602939922709\n ],\n [\n -77.62939453125,\n -1.098565496040652\n ],\n [\n -77.87109375,\n -1.7355743631421197\n ],\n [\n -77.89306640625,\n -2.5479878714713835\n ],\n [\n -78.37646484375,\n -3.5792127858606437\n ],\n [\n -78.77197265625,\n -4.740675384778361\n ],\n [\n -79.29931640625,\n -4.959615024698014\n ],\n [\n -79.25537109375,\n -4.477856485570586\n ],\n [\n -79.2333984375,\n -3.513421045640032\n ],\n [\n -79.3212890625,\n -2.04302395742204\n ],\n [\n -79.1455078125,\n -1.1644706071806057\n ],\n [\n -78.81591796875,\n 0.15380840901698828\n ],\n [\n -78.55224609374999,\n 0.5712795966325522\n ],\n [\n -78.486328125,\n 1.1425024037061522\n ],\n [\n -77.62939453125,\n 0.7909904981540058\n ],\n [\n -77.36572265625,\n 0.37353251022880474\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"30","issue":"17","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-24","publicationStatus":"PW","scienceBaseUri":"57514a9be4b053f0edd01752","contributors":{"authors":[{"text":"Mosquera, Giovanny M","contributorId":169918,"corporation":false,"usgs":false,"family":"Mosquera","given":"Giovanny","email":"","middleInitial":"M","affiliations":[{"id":25623,"text":"Universidad de Cuenca","active":true,"usgs":false}],"preferred":false,"id":631527,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Celleri, Rolando","contributorId":169919,"corporation":false,"usgs":false,"family":"Celleri","given":"Rolando","email":"","affiliations":[{"id":25623,"text":"Universidad de Cuenca","active":true,"usgs":false}],"preferred":false,"id":631528,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lazo, Patricio X","contributorId":169920,"corporation":false,"usgs":false,"family":"Lazo","given":"Patricio","email":"","middleInitial":"X","affiliations":[{"id":25623,"text":"Universidad de Cuenca","active":true,"usgs":false}],"preferred":false,"id":631529,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vache, Kellie B","contributorId":169922,"corporation":false,"usgs":false,"family":"Vache","given":"Kellie","email":"","middleInitial":"B","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":631531,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Perakis, Steven S. 0000-0003-0703-9314 sperakis@usgs.gov","orcid":"https://orcid.org/0000-0003-0703-9314","contributorId":145528,"corporation":false,"usgs":true,"family":"Perakis","given":"Steven","email":"sperakis@usgs.gov","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":631526,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Crespo, Patricio","contributorId":169921,"corporation":false,"usgs":false,"family":"Crespo","given":"Patricio","email":"","affiliations":[{"id":25623,"text":"Universidad de Cuenca","active":true,"usgs":false}],"preferred":false,"id":631530,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70171101,"text":"ofr20161081 - 2016 - Groundwater quality from private domestic water-supply wells in the vicinity of petroleum production in southwestern Indiana","interactions":[],"lastModifiedDate":"2016-06-03T11:50:07","indexId":"ofr20161081","displayToPublicDate":"2016-06-02T00:00:00","publicationYear":"2016","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":"2016-1081","title":"Groundwater quality from private domestic water-supply wells in the vicinity of petroleum production in southwestern Indiana","docAbstract":"The U.S. Geological Survey provided technical support to the Agency for Toxic Substances and Disease Registry for site selection and sample collection and analysis in a 2012 investigation of groundwater quality from 29 private domestic water-supply wells in the vicinity of petroleum production in southwestern Indiana. Petroleum hydrocarbons, oil and grease, aromatic volatile organic compounds, methane concentrations greater than 8,800 micrograms per liter, chloride concentrations greater than 250 milligrams per liter, and gross alpha radioactivity greater than 15 picocuries per liter were reported in the analysis of groundwater samples from 11 wells.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161081","usgsCitation":"Risch, M.R., and Silcox, C.A., 2016, Groundwater quality from private domestic water-supply wells in the vicinity of petroleum production in southwestern Indiana: U.S. Geological Survey Open-File Report 2016–1081, 29 p., https://dx.doi.org/10.3133/ofr20161081.","productDescription":"Report: v, 29 p.; Appendix tables","startPage":"1","endPage":"29","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-040076","costCenters":[{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":322060,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1081/ofr20161081.pdf","text":"Report","size":"791 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016–1081"},{"id":322061,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2016/1081/ofr20161081_appendixtables.pdf","text":"Appendix Tables","description":"OFR 2016–1081 Appendix Tables"},{"id":322059,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1081/coverthb.jpg"}],"country":"United States","state":"Indiana","otherGeospatial":"Mt. Vernon Consolidated Oilfield","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88,\n 38\n ],\n [\n -88,\n 37.83\n ],\n [\n -87.8,\n 37.83\n ],\n [\n -87.8,\n 38\n ],\n [\n -88,\n 38\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Indiana Water Science Center
U.S. Geological Survey
5957 Lakeside Boulevard
Indianapolis, IN 46278–1996
http://in.water.usgs.gov/
","tableOfContents":"- Abstract
- Introduction
- Methods
- Groundwater Quality in Private Domestic Water-Supply Wells
- Summary
- References
- Appendix 1
","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2016-06-02","noUsgsAuthors":false,"publicationDate":"2016-06-02","publicationStatus":"PW","scienceBaseUri":"57514a9de4b053f0edd01760","contributors":{"authors":[{"text":"Risch, Martin R. 0000-0002-7908-7887 mrrisch@usgs.gov","orcid":"https://orcid.org/0000-0002-7908-7887","contributorId":2118,"corporation":false,"usgs":true,"family":"Risch","given":"Martin","email":"mrrisch@usgs.gov","middleInitial":"R.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":629870,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Silcox, Cheryl A. casilcox@usgs.gov","contributorId":5080,"corporation":false,"usgs":true,"family":"Silcox","given":"Cheryl","email":"casilcox@usgs.gov","middleInitial":"A.","affiliations":[{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":629869,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70171184,"text":"ofr20161071 - 2016 - Field survey of earthquake effects from the magnitude 4.0 southern Maine earthquake of October 16, 2012","interactions":[],"lastModifiedDate":"2016-06-03T11:46:02","indexId":"ofr20161071","displayToPublicDate":"2016-06-02T00:00:00","publicationYear":"2016","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":"2016-1071","title":"Field survey of earthquake effects from the magnitude 4.0 southern Maine earthquake of October 16, 2012","docAbstract":"The magnitude 4.0 earthquake that occurred on October 16, 2012, near Hollis Center and Waterboro in southwestern Maine surprised and startled local residents but caused only minor damage. A two-person U.S. Geological Survey (USGS) team was sent to Maine to conduct an intensity survey and document the damage. The only damage we observed was the failure of a chimney and plaster cracks in two buildings in East and North Waterboro, 6 kilometers (km) west of the epicenter. We photographed the damage and interviewed residents to determine the intensity distribution in the epicentral area. The damage and shaking reports are consistent with a maximum Modified Mercalli Intensity (MMI) of 5–6 for an area 1–8 km west of the epicenter, slightly higher than the maximum Community Decimal Intensity (CDI) of 5 determined by the USGS “Did You Feel It?” Web site. The area of strong shaking in East Waterboro corresponds to updip rupture on a fault plane that dips steeply east.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161071","usgsCitation":"Radakovich, A.L., Ferguson, A.J., and Boatwright, John, 2016, Field survey of earthquake effects from the magnitude 4.0 southern Maine earthquake of October 16, 2012: U.S. Geological Survey Open-File Report 2016–1071, 17 p., https://dx.doi.org/10.3133/ofr20161071. ","productDescription":"iv, 17 p.","startPage":"1","endPage":"17","numberOfPages":"23","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-046067","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":322068,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1071/ofr20161071.pdf","text":"Report","size":"4.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1071"},{"id":322067,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1071/coverthb.jpg"}],"country":"United States","state":"Connecticut, Maine, Massachusetts, New Hampshire, New Jersey, New York, Rhode Island, Vermont","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76,\n 41\n ],\n [\n -76,\n 46\n ],\n [\n -68.5,\n 46\n ],\n [\n -68.5,\n 41\n ],\n [\n -76,\n 41\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Contact Information, Menlo Park, Calif.
Office—Earthquake Science Center
U.S. Geological Survey
345 Middlefield Road, MS 977
Menlo Park, CA 94025
http://earthquake.usgs.gov/
","tableOfContents":"\n- Abstract
\n- Introduction
\n- Historical Seismicity and Seismic Hazard in Maine
\n- Focal Mechanism, Centroid Depth, and Moment Magnitude
\n- Postearthquake Intensity Survey
\n- Building Damage
\n- Shaking Effects
\n- Comparing the Field Intensities to the “Did You Feel It?” Intensities
\n- Inferring the Fault Plane from the Intensity Distribution
\n- Conclusions
\n- References Cited
\n
","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2016-06-02","noUsgsAuthors":false,"publicationDate":"2016-06-02","publicationStatus":"PW","scienceBaseUri":"57514a9ce4b053f0edd01756","contributors":{"authors":[{"text":"Radakovich, Amy L.","contributorId":169596,"corporation":false,"usgs":false,"family":"Radakovich","given":"Amy","email":"","middleInitial":"L.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":630203,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fergusen, Alex J.","contributorId":169595,"corporation":false,"usgs":false,"family":"Fergusen","given":"Alex","email":"","middleInitial":"J.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":630202,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boatwright, John 0000-0002-6931-5241 boat@usgs.gov","orcid":"https://orcid.org/0000-0002-6931-5241","contributorId":1938,"corporation":false,"usgs":true,"family":"Boatwright","given":"John","email":"boat@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":630201,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70170859,"text":"sir20165028 - 2016 - Hydrogeology and water quality of the Floridan aquifer system and effect of Lower Floridan aquifer withdrawals on the Upper Floridan aquifer at Barbour Pointe Community, Chatham County, Georgia, 2013","interactions":[],"lastModifiedDate":"2017-01-18T13:23:48","indexId":"sir20165028","displayToPublicDate":"2016-06-02T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5028","title":"Hydrogeology and water quality of the Floridan aquifer system and effect of Lower Floridan aquifer withdrawals on the Upper Floridan aquifer at Barbour Pointe Community, Chatham County, Georgia, 2013","docAbstract":"Two test wells were completed at the Barbour Pointe community in western Chatham County, near Savannah, Georgia, in 2013 to investigate the potential of using the Lower Floridan aquifer as a source of municipal water supply. One well was completed in the Lower Floridan aquifer at a depth of 1,080 feet (ft) below land surface; the other well was completed in the Upper Floridan aquifer at a depth of 440 ft below land surface. At the Barbour Pointe test site, the U.S. Geological Survey completed electromagnetic (EM) flowmeter surveys, collected and analyzed water samples from discrete depths, and completed a 72-hour aquifer test of the Floridan aquifer system withdrawing from the Lower Floridan aquifer.
Based on drill cuttings, geophysical logs, and borehole EM flowmeter surveys collected at the Barbour Pointe test site, the Upper Floridan aquifer extends 369 to 567 ft below land surface, the middle semiconfining unit, separating the two aquifers, extends 567 to 714 ft below land surface, and the Lower Floridan aquifer extends 714 to 1,056 ft below land surface.
A borehole EM flowmeter survey indicates that the Upper Floridan and Lower Floridan aquifers each contain four water-bearing zones. The EM flowmeter logs of the test hole open to the entire Floridan aquifer system indicated that the Upper Floridan aquifer contributed 91 percent of the total flow rate of 1,000 gallons per minute; the Lower Floridan aquifer contributed about 8 percent. Based on the transmissivity of the middle semiconfining unit and the Floridan aquifer system, the middle semiconfining unit probably contributed on the order of 1 percent of the total flow.
Hydraulic properties of the Upper Floridan and Lower Floridan aquifers were estimated based on results of the EM flowmeter survey and a 72-hour aquifer test completed in Lower Floridan aquifer well 36Q398. The EM flowmeter data were analyzed using an AnalyzeHOLE-generated model to simulate upward borehole flow and determine the transmissivity of water-bearing zones. Aquifer-test data were analyzed with a two-dimensional, axisymmetric, radial, transient, groundwater-flow model using MODFLOW–2005. The flowmeter-survey and aquifer-test simulations provided an estimated transmissivity of about 60,000 square feet per day for the Upper Floridan aquifer and about 5,000 square feet per day for the Lower Floridan aquifer.
Water in discrete-depth samples collected from the Upper Floridan aquifer, middle semiconfining unit, and Lower Floridan aquifer during the EM flowmeter survey in August 2013 was low in dissolved solids. Tested constituents were in concentrations within established U.S. Environmental Protection Agency drinking water-quality criteria. Concentrations of measured constituents in water samples from Lower Floridan aquifer well 36Q398 collected at the end of the 72-hour aquifer test in November 2013 were generally higher than in the discrete-depth samples collected during EM flowmeter testing in August 2013 but remained within established drinking water-quality criteria.
Water-level data for the aquifer test were filtered for external influences such as barometric pressure, earth-tide effects, and long-term trends to enable detection of small (less than 1 ft) water-level responses to aquifer-test withdrawal. During the 72-hour aquifer test, the Lower Floridan aquifer was pumped at a rate of 750 gallons per minute resulting in a drawdown response of 35.5 ft in the pumped well; 1.6 ft in the Lower Floridan aquifer observation well located about 6,000 ft west of the pumped well; and responses of 0.7, 0.6, and 0.4 ft in the Upper Floridan aquifer observation wells located about 36 ft, 6,000 ft, and 6,800 ft from the pumped well, respectively
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165028","collaboration":"Prepared in cooperation with Consolidated Utilities LLC, Chatham County, Georgia","usgsCitation":"Gonthier, G.J., and Clarke, J.S., 2016, Hydrogeology and water quality of the Floridan aquifer system and effect of Lower Floridan aquifer withdrawals on the Upper Floridan aquifer at Barbour Pointe Community, Chatham County, Georgia, 2013: U.S. Geological Survey Scientific Investigations Report 2016–5028, 56 p., https://dx.doi.org/10.3133/sir20165028.","productDescription":"viii, 56 p.","startPage":"1","endPage":"56","numberOfPages":"68","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-045188","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":321737,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5028/coverthb.jpg"},{"id":321738,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5028/sir20165028.pdf","text":"Report","size":"1.68 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016–5028"}],"country":"United States","state":"Georgia","county":"Chatham County","city":"Savannah","otherGeospatial":"Barbour Pointe Community","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.75,\n 32.25\n ],\n [\n -80.75,\n 31.75\n ],\n [\n -81.75,\n 31.75\n ],\n [\n -81.75,\n 32.25\n ],\n [\n -80.75,\n 32.25\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Georgia Water Science Center
U.S. Geological Survey
1770 Corporate Drive, Suite 500
Norcross, Georgia 30093
http://ga.water.usgs.gov/
","tableOfContents":"- Abstract
- Introduction
- Hydrogeology and Water Quality of the Floridan Aquifer System
- Effect of Lower Floridan Aquifer Withdrawals on the Upper Floridan Aquifer
- Summary and Conclusions
- References Cited
- Appendix 1—Estimation of Hydraulic Properties and Drawdown Response
","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2016-06-02","noUsgsAuthors":false,"publicationDate":"2016-06-02","publicationStatus":"PW","scienceBaseUri":"57514a9de4b053f0edd01764","contributors":{"authors":[{"text":"Gonthier, Gerard 0000-0003-4078-8579 gonthier@usgs.gov","orcid":"https://orcid.org/0000-0003-4078-8579","contributorId":3141,"corporation":false,"usgs":true,"family":"Gonthier","given":"Gerard ","email":"gonthier@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":628841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clarke, John S. jsclarke@usgs.gov","contributorId":400,"corporation":false,"usgs":true,"family":"Clarke","given":"John","email":"jsclarke@usgs.gov","middleInitial":"S.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":628842,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70169115,"text":"ofr20161038 - 2016 - A software tool for rapid flood inundation mapping","interactions":[],"lastModifiedDate":"2017-01-18T09:18:07","indexId":"ofr20161038","displayToPublicDate":"2016-06-02T00:00:00","publicationYear":"2016","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":"2016-1038","title":"A software tool for rapid flood inundation mapping","docAbstract":"The GIS Flood Tool (GFT) was developed by the U.S. Geological Survey with support from the U.S. Agency for International Development’s Office of U.S. Foreign Disaster Assistance to provide a means for production of reconnaissance-level flood inundation mapping for data-sparse and resource-limited areas of the world. The GFT has also attracted interest as a tool for rapid assessment flood inundation mapping for the Flood Inundation Mapping Program of the U.S. Geological Survey. The GFT can fill an important gap for communities that lack flood inundation mapping by providing a first-estimate of inundation zones, pending availability of resources to complete an engineering study. The tool can also help identify priority areas for application of scarce flood inundation mapping resources. The technical basis of the GFT is an application of the Manning equation for steady flow in an open channel, operating on specially processed digital elevation data. The GFT is implemented as a software extension in ArcGIS. Output maps from the GFT were validated at 11 sites with inundation maps produced previously by the Flood Inundation Mapping Program using standard one-dimensional hydraulic modeling techniques. In 80 percent of the cases, the GFT inundation patterns matched 75 percent or more of the one-dimensional hydraulic model inundation patterns. Lower rates of pattern agreement were seen at sites with low relief and subtle surface water divides. Although the GFT is simple to use, it should be applied with the oversight or review of a qualified hydraulic engineer who understands the simplifying assumptions of the approach.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161038","collaboration":"Prepared in cooperation with the U.S. Agency for International Development, Office of U.S. Foreign Disaster Assistance (USAID/OFDA)","usgsCitation":"Verdin, James; Verdin, Kristine; Mathis, Melissa; Magadzire, Tamuka; Kabuchanga, Eric; Woodbury, Mark; and Gadain, Hussein, 2016, A software tool for rapid flood inundation mapping: U.S. Geological Survey Open-File Report 2016–1038, 26 p., https://dx.doi.org/10.3133/ofr20161038.","productDescription":"vi, 26 p.","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-055868","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":322105,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1038/ofr20161038.pdf","text":"Report","size":"16.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016–1038"},{"id":322104,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1038/coverthb.jpg"}],"contact":"Director, Earth Resources Observation and Science (EROS) Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, South Dakota 57198
http://eros.usgs.gov/
","tableOfContents":"\n- Acknowledgments
\n- Abstract
\n- Introduction
\n- Background
\n- GIS Flood Tool Concepts
\n- Software Tools
\n- Elevation Data
\n- Software Validation
\n- Applications of the GIS Flood Tool Software
\n- Technical Considerations
\n- Summary and Conclusions
\n- References Cited
\n
","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2016-06-02","noUsgsAuthors":false,"publicationDate":"2016-06-02","publicationStatus":"PW","scienceBaseUri":"57514a9ae4b053f0edd0174b","contributors":{"authors":[{"text":"Verdin, James 0000-0003-0238-9657 verdin@usgs.gov","orcid":"https://orcid.org/0000-0003-0238-9657","contributorId":145830,"corporation":false,"usgs":true,"family":"Verdin","given":"James","email":"verdin@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":623038,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Verdin, Kristine 0000-0002-6114-4660","orcid":"https://orcid.org/0000-0002-6114-4660","contributorId":22067,"corporation":false,"usgs":true,"family":"Verdin","given":"Kristine","affiliations":[],"preferred":false,"id":623039,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mathis, Melissa L. 0000-0003-4967-4770 mlmathis@usgs.gov","orcid":"https://orcid.org/0000-0003-4967-4770","contributorId":5461,"corporation":false,"usgs":true,"family":"Mathis","given":"Melissa","email":"mlmathis@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":623040,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Magadzire, Tamuka","contributorId":145822,"corporation":false,"usgs":false,"family":"Magadzire","given":"Tamuka","affiliations":[{"id":16236,"text":"UCSB Climate Hazards Group","active":true,"usgs":false}],"preferred":false,"id":623041,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kabuchanga, Eric","contributorId":167657,"corporation":false,"usgs":false,"family":"Kabuchanga","given":"Eric","email":"","affiliations":[{"id":24791,"text":"Regional Center for Mapping of Resources for Development (RCMRD), Nairobi, Kenya","active":true,"usgs":false}],"preferred":false,"id":623042,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Woodbury, Mark","contributorId":167658,"corporation":false,"usgs":false,"family":"Woodbury","given":"Mark","email":"","affiliations":[{"id":24792,"text":"Riverside Technology Incorporated, Fort Collins, Colorado","active":true,"usgs":false}],"preferred":false,"id":623043,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gadain, Hussein","contributorId":6255,"corporation":false,"usgs":true,"family":"Gadain","given":"Hussein","email":"","affiliations":[],"preferred":false,"id":623044,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70170769,"text":"70170769 - 2016 - Status of the California Red-legged Frog (Rana draytonii) in the State of Baja California, México","interactions":[],"lastModifiedDate":"2018-03-26T12:04:18","indexId":"70170769","displayToPublicDate":"2016-06-01T15:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1894,"text":"Herpetological Conservation and Biology","onlineIssn":"2151-0733","printIssn":"1931-7603","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Status of the California Red-legged Frog (Rana draytonii) in the State of Baja California, México","title":"Status of the California Red-legged Frog (Rana draytonii) in the State of Baja California, México","docAbstract":"The California Red-legged Frog (Rana draytonii) is a threatened species in the United States that has undergone population declines, especially in southern California. Due to the lack of information on the status of Mexican populations, we surveyed for the presence of R. draytonii in Baja California and assessed possible threats to population persistence. Our study area extended from the U.S.-Mexican border to the southern end of the distribution of the species in the Sierra San Pedro Mártir. We found R. draytonii at six of 15 historical sites, none at five proxy sites (i.e., alternative sites chosen because the historical record lacked precise locality data), and four at 24 additional sites. The 10 occupied sites are within three watersheds in the Sierra San Pedro Mártir (two sites at Arroyo San Rafael, two sites at Arroyo San Telmo, and six sites at Arroyo Santo Domingo). We did not detect R. draytonii at 60% of historical sites, including the highest elevation site at La Encantada and multiple low-elevation coastal drainages, suggesting the species has declined in Baja California. The threats we noted most frequently were presence of exotic aquatic animal species, water diversion, and cattle grazing. Management of remaining populations and local education is needed to prevent further declines.
","language":"English","publisher":"Partners in Amphibian and Reptile Conservation","publisherLocation":"Texarkana, TX","usgsCitation":"Peralta-Garcia, A., Hellingsworth, B.D., Richmond, J.Q., Valdez-Villavicencio, J.H., Ruiz-Campos, G., Fisher, R.N., Cruz-Hernandez, P., and Galina-Tessaro, P., 2016, Status of the California Red-legged Frog (Rana draytonii) in the State of Baja California, México: Herpetological Conservation and Biology, v. 11, no. 1, p. 168-180.","productDescription":"13 p.","startPage":"168","endPage":"180","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066468","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":320832,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":320830,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.herpconbio.org/contents_vol11_issue1.html"}],"country":"Mexico","state":"Baja 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,{"id":70171534,"text":"70171534 - 2016 - Effects of turbidity on predation vulnerability of juvenile humpback chub to rainbow and brown trout","interactions":[],"lastModifiedDate":"2016-06-08T10:39:53","indexId":"70171534","displayToPublicDate":"2016-06-01T14:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Effects of turbidity on predation vulnerability of juvenile humpback chub to rainbow and brown trout","docAbstract":"Predation on juvenile native fish by introduced rainbow trout Oncorhynchus mykiss and brown trout Salmo trutta is considered a significant threat to the persistence of endangered humpback chub Gila cypha in the Colorado River in Grand Canyon. Diet studies of rainbow and brown trout in Glen and Grand canyons indicate that these species eat native fish, but impacts are difficult to assess because predation vulnerability is highly variable depending on the physical conditions under which the predation interactions take place. We conducted laboratory experiments to evaluate how short-term predation vulnerability of juvenile humpback chub changes in response to changes in turbidity. In overnight laboratory trials, we exposed hatchery-reared juvenile humpback chub and bonytail Gila elegans (a surrogate for humpback chub) to adult rainbow and brown trout at turbidities ranging from 0 to 1,000 formazin nephlometric units. We found that turbidity as low as 25 formazin nephlometric units significantly reduced predation vulnerability of bonytail to rainbow trout and led to a 36% mean increase in survival (24–60%, 95% CI) compared to trials conducted in clear water. Predation vulnerability of bonytail to brown trout at 25 formazin nephlometric units also decreased with increasing turbidity and resulted in a 25% increase in survival on average (17–32%, 95% CI). Understanding the effects of predation by trout on endangered humpback chub is important when evaluating management options aimed at preservation of native fishes in Grand Canyon National Park. This research suggests that relatively small changes in turbidity may be sufficient to alter predation dynamics of trout on humpback chub in the mainstem Colorado River and that turbidity manipulation may warrant further investigation as a fisheries management tool.
","language":"English","publisher":"U.S. Fish and Wildlife Service","publisherLocation":"Washington, D.C.","doi":"10.3996/102015-JFWM-101","usgsCitation":"Ward, D.L., Morton-Starner, R., and Vaage, B.M., 2016, Effects of turbidity on predation vulnerability of juvenile humpback chub to rainbow and brown trout: Journal of Fish and Wildlife Management, v. 7, no. 1, p. 1-8, https://doi.org/10.3996/102015-JFWM-101.","productDescription":"8","startPage":"1","endPage":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068566","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":488574,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/102015-jfwm-101","text":"Publisher Index Page"},{"id":322100,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-01","publicationStatus":"PW","scienceBaseUri":"575158b0e4b053f0edd03c3b","contributors":{"authors":[{"text":"Ward, David L. 0000-0002-3355-0637 dlward@usgs.gov","orcid":"https://orcid.org/0000-0002-3355-0637","contributorId":3879,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dlward@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":631654,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morton-Starner, Rylan rmorton-starner@usgs.gov","contributorId":5256,"corporation":false,"usgs":true,"family":"Morton-Starner","given":"Rylan","email":"rmorton-starner@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":631655,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vaage, Benjamin M. bvaage@usgs.gov","contributorId":5983,"corporation":false,"usgs":true,"family":"Vaage","given":"Benjamin","email":"bvaage@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":631656,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70171471,"text":"70171471 - 2016 - At the nexus of fire, water and society","interactions":[],"lastModifiedDate":"2016-06-01T09:06:41","indexId":"70171471","displayToPublicDate":"2016-06-01T10:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3048,"text":"Philosophical Transactions of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"At the nexus of fire, water and society","docAbstract":"The societal risks of water scarcity and water-quality impairment have received considerable attention, evidenced by recent analyses of these topics by the 2030 Water Resources Group, the United Nations and the World Economic Forum. What are the effects of fire on the predicted water scarcity and declines in water quality? Drinking water supplies for humans, the emphasis of this exploration, are derived from several land cover types, including forests, grasslands and peatlands, which are vulnerable to fire. In the last two decades, fires have affected the water supply catchments of Denver (CO) and other southwestern US cities, and four major Australian cities including Sydney, Canberra, Adelaide and Melbourne. In the same time period, several, though not all, national, regional and global water assessments have included fire in evaluations of the risks that affect water supplies. The objective of this discussion is to explore the nexus of fire, water and society with the hope that a more explicit understanding of fire effects on water supplies will encourage the incorporation of fire into future assessments of water supplies, into the pyrogeography conceptual framework and into planning efforts directed at water resiliency.
","language":"English","publisher":"Royal Society Publishing","doi":"10.1098/rstb.2015.0172","usgsCitation":"Martin, D.A., 2016, At the nexus of fire, water and society: Philosophical Transactions of the Royal Society B: Biological Sciences, v. 371, no. 1696, Article 20150172, https://doi.org/10.1098/rstb.2015.0172.","productDescription":"Article 20150172","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073771","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":470919,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rstb.2015.0172","text":"Publisher Index Page"},{"id":321952,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"371","issue":"1696","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-05","publicationStatus":"PW","scienceBaseUri":"574ff91be4b0ee97d51af4cd","contributors":{"authors":[{"text":"Martin, Deborah A. 0000-0001-8237-0838 damartin@usgs.gov","orcid":"https://orcid.org/0000-0001-8237-0838","contributorId":168662,"corporation":false,"usgs":true,"family":"Martin","given":"Deborah","email":"damartin@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":631160,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70171474,"text":"70171474 - 2016 - Gene transcript profiling in sea otters post-Exxon Valdez oil spill: A tool for marine ecosystem health assessment","interactions":[],"lastModifiedDate":"2021-08-24T14:18:19.374654","indexId":"70171474","displayToPublicDate":"2016-06-01T10:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2380,"text":"Journal of Marine Science and Engineering","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Gene transcript profiling in sea otters post-Exxon Valdez oil spill: A tool for marine ecosystem health assessment","title":"Gene transcript profiling in sea otters post-Exxon Valdez oil spill: A tool for marine ecosystem health assessment","docAbstract":"Using a panel of genes stimulated by oil exposure in a laboratory study, we evaluated gene transcription in blood leukocytes sampled from sea otters captured from 2006–2012 in western Prince William Sound (WPWS), Alaska, 17–23 years after the 1989 Exxon Valdez oil spill (EVOS). We compared WPWS sea otters to reference populations (not affected by the EVOS) from the Alaska Peninsula (2009), Katmai National Park and Preserve (2009), Clam Lagoon at Adak Island (2012), Kodiak Island (2005) and captive sea otters in aquaria. Statistically, sea otter gene transcript profiles separated into three distinct clusters: Cluster 1, Kodiak and WPWS 2006–2008 (higher relative transcription); Cluster 2, Clam Lagoon and WPWS 2010–2012 (lower relative transcription); and Cluster 3, Alaska Peninsula, Katmai and captive sea otters (intermediate relative transcription). The lower transcription of the aryl hydrocarbon receptor (AHR), an established biomarker for hydrocarbon exposure, in WPWS 2010–2012 compared to earlier samples from WPWS is consistent with declining hydrocarbon exposure, but the pattern of overall low levels of transcription seen in WPWS 2010–2012 could be related to other factors, such as food limitation, pathogens or injury, and may indicate an inability to mount effective responses to stressors. Decreased transcriptional response across the entire gene panel precludes the evaluation of whether or not individual sea otters show signs of exposure to lingering oil. However, related studies on sea otter demographics indicate that by 2012, the sea otter population in WPWS had recovered, which indicates diminishing oil exposure.
","language":"English","publisher":"MDPI","publisherLocation":"Basel, Switzerland","doi":"10.3390/jmse4020039","usgsCitation":"Bowen, L., Miles, A.K., Ballachey, B.E., Waters-Dynes, S.C., and Bodkin, J.L., 2016, Gene transcript profiling in sea otters post-Exxon Valdez oil spill: A tool for marine ecosystem health assessment: Journal of Marine Science and Engineering, v. 4, no. 2, 39, 12 p., https://doi.org/10.3390/jmse4020039.","productDescription":"39, 12 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-076107","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":470920,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/jmse4020039","text":"Publisher Index Page"},{"id":438615,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F789141P","text":"USGS data release","linkHelpText":"Sea Otter Gene Transcription Data from Kodiak, the Alaska Peninsula, and Prince William Sound, Alaska, 2005-2012"},{"id":322001,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Adak Island, Alaska Peninsula, Katmai National Park, Kodiak Island, Prince William Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -175.517578125,\n 53.67068019347264\n ],\n [\n -178.06640625,\n 53.35710874569601\n ],\n [\n -179.38476562499997,\n 52.32191088594773\n ],\n [\n -179.4287109375,\n 51.34433866059924\n ],\n [\n -178.505859375,\n 50.708634400828224\n ],\n [\n -173.583984375,\n 50.56928286558243\n ],\n [\n -166.4208984375,\n 52.07950600379697\n ],\n [\n -162.8173828125,\n 53.04121304075649\n ],\n [\n -159.7412109375,\n 53.67068019347264\n ],\n [\n -156.09375,\n 54.546579538405034\n ],\n [\n -152.841796875,\n 55.751849391735284\n ],\n [\n -150.7763671875,\n 57.11238500793404\n ],\n [\n -149.8095703125,\n 57.9148477670092\n ],\n [\n -147.91992187499997,\n 58.63121664342478\n ],\n [\n -145.01953124999997,\n 58.97266715450153\n ],\n [\n -142.0751953125,\n 59.62332522313024\n ],\n [\n -140.9326171875,\n 60.08676274626006\n ],\n [\n -141.0205078125,\n 60.60854176060904\n ],\n [\n -141.3720703125,\n 61.33353967329142\n ],\n [\n -142.4267578125,\n 61.75233128411639\n ],\n [\n -146.3818359375,\n 61.83541335794044\n ],\n [\n -149.37011718749997,\n 61.83541335794044\n ],\n [\n -151.5234375,\n 61.16443708638275\n ],\n [\n -155.91796874999997,\n 59.91097597079679\n ],\n [\n -158.5986328125,\n 58.147518599073585\n ],\n [\n -160.0927734375,\n 56.8249328650072\n ],\n [\n -163.916015625,\n 55.677584411089505\n ],\n [\n -168.662109375,\n 54.316523240258284\n ],\n [\n -175.517578125,\n 53.67068019347264\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-01","publicationStatus":"PW","scienceBaseUri":"574ff91ce4b0ee97d51af4d9","contributors":{"authors":[{"text":"Bowen, Lizabeth 0000-0001-9115-4336 lbowen@usgs.gov","orcid":"https://orcid.org/0000-0001-9115-4336","contributorId":4539,"corporation":false,"usgs":true,"family":"Bowen","given":"Lizabeth","email":"lbowen@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":631183,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miles, A. 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,{"id":70176579,"text":"70176579 - 2016 - Ecology and control of an introduced population of Southern Watersnakes (Nerodia fasciata) in southern California","interactions":[],"lastModifiedDate":"2016-09-21T16:11:07","indexId":"70176579","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1892,"text":"Herpetologica","active":true,"publicationSubtype":{"id":10}},"title":"Ecology and control of an introduced population of Southern Watersnakes (Nerodia fasciata) in southern California","docAbstract":"Native to the southeastern United States, Southern Watersnakes (Nerodia fasciata) are known from two sites in California, but their ecological impacts are poorly understood. We investigated the ecology of Southern Watersnakes in Machado Lake, Harbor City, Los Angeles County, California, including an assessment of control opportunities. We captured 306 watersnakes as a result of aquatic trapping and hand captures. We captured snakes of all sizes (162–1063 mm snout–vent length [SVL], 3.5–873.3 g), demonstrating the existence of a well-established population. The smallest reproductive female was 490 mm SVL and females contained 12–46 postovulatory embryos (mean = 21). Small watersnakes largely consumed introduced Western Mosquitofish (Gambusia affinis), while larger snakes specialized on larval and metamorph American Bullfrogs (Lithobates catesbeianus) and Green Sunfish (Lepomis cyanellus). Overall capture per unit effort (CPUE) in traps declined with time during an intensive 76-d trapping bout, but CPUE trends varied considerably among traplines and it is unlikely that the overall decline in CPUE represented a major decrease in the snake population size. Although we found no direct evidence that Southern Watersnakes are affecting native species in Machado Lake, this population may serve as a source for intentional or unintentional transportation of watersnakes to bodies of water containing imperiled native prey species or potential competitors.
","language":"English","publisher":"Chicago Academy of Sciences","doi":"10.1655/HERPETOLOGICA-D-14-00061","usgsCitation":"Reed, R., Todd, B.D., Miano, O.J., Canfield, M., Fisher, R.N., and McMartin, L., 2016, Ecology and control of an introduced population of Southern Watersnakes (Nerodia fasciata) in southern California: Herpetologica, v. 72, no. 2, p. 130-136, https://doi.org/10.1655/HERPETOLOGICA-D-14-00061.","productDescription":"7 p.","startPage":"130","endPage":"136","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070595","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":328835,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Harbor City","otherGeospatial":"Machado Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n 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Davis","active":true,"usgs":false}],"preferred":false,"id":649236,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miano, Oliver J.","contributorId":174773,"corporation":false,"usgs":false,"family":"Miano","given":"Oliver","email":"","middleInitial":"J.","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":649237,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Canfield, Mark","contributorId":174774,"corporation":false,"usgs":false,"family":"Canfield","given":"Mark","email":"","affiliations":[{"id":27512,"text":"Biologist","active":true,"usgs":false}],"preferred":false,"id":649238,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fisher, Robert N. 0000-0002-2956-3240 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,{"id":70178112,"text":"70178112 - 2016 - Making it and breaking it in the Midwest: Continental assembly and rifting from modeling of EarthScope magnetotelluric data","interactions":[],"lastModifiedDate":"2018-07-09T12:14:08","indexId":"70178112","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3112,"text":"Precambrian Research","active":true,"publicationSubtype":{"id":10}},"title":"Making it and breaking it in the Midwest: Continental assembly and rifting from modeling of EarthScope magnetotelluric data","docAbstract":"A three-dimensional lithospheric-scale resistivity model of the North American mid-continent has been estimated based upon EarthScope magnetotelluric data. Details of the resistivity model are discussed in relation to lithospheric sutures, defined primarily from aeromagnetic and geochronologic data, which record the southward growth of the Laurentian margin in the Proterozoic. The resistivity signature of the 1.1 Ga Mid-continent Rift System is examined in detail, in particular as relates to rift geometry, extent, and segmentation. An unrecognized expanse of (concealed) Proterozoic deltaic deposits in Kansas is identified and speculated to result from axial drainage along the southwest rift arm akin to the Rio Grande delta which drains multiple rift basins. A prominent conductor traces out Cambrian rifting in Arkansas, Missouri, Tennessee, and Kentucky; this linear conductor has not been imaged before and suggests that the Cambrian rift system may have been more extensive than previously thought. The highest conductivity within the mid-continent is imaged in Minnesota, Michigan, and Wisconsin where it is coincident with Paleoproterozoic metasedimentary rocks. The high conductivity is attributed to metallic sulfides, and in some cases, graphite. The former is a potential source of sulfur for multiple mineral deposits types, occurrences of which are found throughout the region. Finally, the imprint left within the mantle following the 1.1 Ga rifting event is examined. Variations in lithospheric mantle conductivity are observed and are interpreted to reflect variations in water content (depleted versus metasomatized mantle) imprinted upon the mantle by the Keweenawan mantle plume.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.precamres.2016.03.009","usgsCitation":"Bedrosian, P.A., 2016, Making it and breaking it in the Midwest: Continental assembly and rifting from modeling of EarthScope magnetotelluric data: Precambrian Research, v. 278, p. 337-361, https://doi.org/10.1016/j.precamres.2016.03.009.","productDescription":"15 p.","startPage":"337","endPage":"361","ipdsId":"IP-071110","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":37273,"text":"Advanced Research Computing (ARC)","active":true,"usgs":true}],"links":[{"id":470941,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.precamres.2016.03.009","text":"Publisher Index Page"},{"id":330684,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"278","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"581c4cc3e4b09688d6e90fb7","contributors":{"authors":[{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":652813,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70173817,"text":"70173817 - 2016 - Mercury accumulation and the mercury-PCB-sex interaction in summer flounder","interactions":[],"lastModifiedDate":"2018-08-07T12:06:41","indexId":"70173817","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5100,"text":"Journal of Marine Science: Research & Development","active":true,"publicationSubtype":{"id":10}},"title":"Mercury accumulation and the mercury-PCB-sex interaction in summer flounder","docAbstract":"Patterns in the relative differences in contaminant concentrations between the sexes of mature fish may reveal important behavioral and physiological differences between the sexes. We determined whole-fish total mercury (Hg) concentrations in 23 female summer flounder (Paralichthys dentatus) and 27 male summer flounder from New Jersey coastal waters. To estimate the change in Hg concentration due to release of eggs at spawning, Hg concentration in the somatic tissue and ovaries of 5 of the 23 female summer flounder were also determined. To ascertain whether most of the Hg in the summer flounder was methylmercury (MeHg), whole-fish MeHg concentrations were determined in all 50 summer flounder. Whole-fish Hg concentrations averaged 113 ng/g for females and 111 ng/g for males. Thus, females were 2% higher in Hg concentration than males, on average, but the difference was not statistically significant. Based on Hg determinations in the somatic tissue and ovaries, we predicted that Hg concentration of females would increase by 3.6%, on average, immediately after spawning due to release of eggs. On average, 92% of the Hg in the summer flounder was MeHg. To determine whether the effect of sex on Hg concentration was significantly different from the effect of sex on polychlorinated biphenyl (PCB) concentration, we paired our Hg determinations with PCB determinations from a previous study, and applied regression analysis. Sex significantly interacted with contaminant type (Hg or PCBs), as males were 43% higher in PCB concentration than females, whereas females were 2% higher in Hg concentration than males. Males eliminating Hg from their bodies at a faster rate than females was a likely explanation for this discrepancy between the two contaminant types. Overall, the Hg and PCB concentrations in the summer flounder were relatively low, and therefore our findings also had implications for continued operation of the summer flounder fishery.
","language":"English","publisher":"OMICS International","doi":"10.4172/2155-9910.1000188","usgsCitation":"Madenjian, C.P., Jensen, O.P., Krabbenhoft, D.P., DeWild, J.F., Ogorek, J.M., and Vastano, A.R., 2016, Mercury accumulation and the mercury-PCB-sex interaction in summer flounder: Journal of Marine Science: Research & Development, v. 6, no. 2, p. 1-7, https://doi.org/10.4172/2155-9910.1000188.","productDescription":"Article 188; 7 p.","startPage":"1","endPage":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070868","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":470923,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4172/2155-9910.1000188","text":"Publisher Index Page"},{"id":324259,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576bb6b8e4b07657d1a22906","contributors":{"authors":[{"text":"Madenjian, Charles P. 0000-0002-0326-164X cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":638499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jensen, Olaf P.","contributorId":92159,"corporation":false,"usgs":false,"family":"Jensen","given":"Olaf","email":"","middleInitial":"P.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":638500,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":638501,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeWild, John F. 0000-0003-4097-2798 jfdewild@usgs.gov","orcid":"https://orcid.org/0000-0003-4097-2798","contributorId":2525,"corporation":false,"usgs":true,"family":"DeWild","given":"John","email":"jfdewild@usgs.gov","middleInitial":"F.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":638502,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ogorek, Jacob M. 0000-0002-6327-0740 jmogorek@usgs.gov","orcid":"https://orcid.org/0000-0002-6327-0740","contributorId":4960,"corporation":false,"usgs":true,"family":"Ogorek","given":"Jacob","email":"jmogorek@usgs.gov","middleInitial":"M.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":638503,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vastano, Anthony R.","contributorId":152434,"corporation":false,"usgs":false,"family":"Vastano","given":"Anthony","email":"","middleInitial":"R.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":638504,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70171121,"text":"70171121 - 2016 - Regional assessment of persistent organic pollutants in resident mussels from New Jersey and New York estuaries following Hurricane Sandy","interactions":[],"lastModifiedDate":"2018-08-07T12:32:44","indexId":"70171121","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Regional assessment of persistent organic pollutants in resident mussels from New Jersey and New York estuaries following Hurricane Sandy","docAbstract":"Resident mussels are effective indicators of ecosystem health and have been utilized in national assessment and monitoring studies for over two decades. Mussels were chosen because contaminant concentrations in their tissues respond to changes in ambient environmental levels, accumulation occurs with little metabolic transformation and a substantial amount of historic data were available. Mussels were collected from 10 previously studied locations approximately a year after Hurricane Sandy. Regionally, concentrations of polychlorinated biphenyls (PCBs) and polycyclic aromatic hydrocarbons (PAHs) decreased significantly, while concentrations of organochlorine pesticides (OCPs) remained unchanged, and polybrominated diphenyl ethers (PBDEs) increased compared to historic concentrations. Although concentrations of PCBs, OCPs and PAHs were at or near record low concentrations, long-term trends did not change after Hurricane Sandy. To effectively measure storm-induced impacts it is necessary to understand the factors influencing changes in mussel body burdens and have a long-term monitoring network and an ability to mobilize post event.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2016.02.077","usgsCitation":"Smalling, K., Deshpande, A.D., Galbraith, H.S., Sharack, B., Timmons, D., and Baker, R.J., 2016, Regional assessment of persistent organic pollutants in resident mussels from New Jersey and New York estuaries following Hurricane Sandy: Marine Pollution Bulletin, v. 107, no. 2, p. 432-441, https://doi.org/10.1016/j.marpolbul.2016.02.077.","productDescription":"10 p.","startPage":"432","endPage":"441","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066943","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":470935,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.marpolbul.2016.02.077","text":"Publisher Index Page"},{"id":324533,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey, New York","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.5587158203125,\n 39.41922073655956\n ],\n [\n -74.34997558593749,\n 39.317300373271024\n ],\n [\n -74.0313720703125,\n 39.76210275375137\n ],\n [\n -73.8446044921875,\n 40.48455955508278\n ],\n [\n -71.71875,\n 41.02135510866602\n ],\n [\n -71.91650390625,\n 41.18278832811288\n ],\n [\n -74.10827636718749,\n 40.62646106367355\n ],\n [\n -74.322509765625,\n 39.78321267821705\n ],\n [\n -74.5587158203125,\n 39.41922073655956\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"107","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57739fb6e4b07657d1a90d40","contributors":{"authors":[{"text":"Smalling, Kelly L. 0000-0002-1214-4920 ksmall@usgs.gov","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":149769,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L. ","email":"ksmall@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":false,"id":629970,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deshpande, Ashok D.","contributorId":146498,"corporation":false,"usgs":false,"family":"Deshpande","given":"Ashok","email":"","middleInitial":"D.","affiliations":[{"id":12641,"text":"NOAA NMFS","active":true,"usgs":false}],"preferred":false,"id":629971,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Galbraith, Heather S. 0000-0003-3704-3517 hgalbraith@usgs.gov","orcid":"https://orcid.org/0000-0003-3704-3517","contributorId":4519,"corporation":false,"usgs":true,"family":"Galbraith","given":"Heather","email":"hgalbraith@usgs.gov","middleInitial":"S.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":629972,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sharack, Beth","contributorId":146503,"corporation":false,"usgs":false,"family":"Sharack","given":"Beth","email":"","affiliations":[{"id":12641,"text":"NOAA NMFS","active":true,"usgs":false}],"preferred":false,"id":629974,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Timmons, DeMond","contributorId":146504,"corporation":false,"usgs":false,"family":"Timmons","given":"DeMond","email":"","affiliations":[{"id":12641,"text":"NOAA NMFS","active":true,"usgs":false}],"preferred":false,"id":629975,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Baker, Ronald J. rbaker@usgs.gov","contributorId":1436,"corporation":false,"usgs":true,"family":"Baker","given":"Ronald","email":"rbaker@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":629976,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70178866,"text":"70178866 - 2016 - Change in numbers of resident and migratory shorebirds at the Cabo Rojo Salt Flats, Puerto Rico, USA (1985–2014)","interactions":[],"lastModifiedDate":"2016-12-09T15:55:55","indexId":"70178866","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Change in numbers of resident and migratory shorebirds at the Cabo Rojo Salt Flats, Puerto Rico, USA (1985–2014)","docAbstract":"North American migratory shorebirds have declined markedly since the 1980s, underscoring the importance of population surveys to conduct status and trend assessments. Shorebird surveys were conducted during three multi-year periods between 1985 and 2014 and used to assess changes in numbers and species composition at the Cabo Rojo Salt Flats, Puerto Rico, USA, a site of regional importance in the eastern Caribbean. Eight fewer species (total = 21) were recorded in 2013–2014 as compared to the 29 from 1985–1992; all eight species were Nearctic migrants. Small calidrids had the highest population counts; however, this suite of species and all others experienced a ≥ 70% decline. Combined counts from the salt flats and neighboring wetlands in 2013–2014 were lower than counts only from the Cabo Rojo Salt Flats in two previous multi-year survey periods, which indicated a real change in numbers not just a shift in wetland use. Invertebrate prey density was lower in 2013–2014 than in 1994. Body fat condition of Semipalmated Sandpipers (Calidris pusilla), an index of habitat quality, did not differ between 1985–1992 and 2013–2014. These findings do not exclude the possibility that other species might be affected by lower prey density, or that local declines in numbers reflect changes at hemispheric, not local, scales. The magnitude of change between local and hemispheric scales closely matched for some species. Continued monitoring at the salt flats is warranted to help gauge the status of shorebirds in Puerto Rico and discern the probable cause of declines. Monitoring other sites in the Caribbean is needed for stronger inferences about regional status and trends.
","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.039.0213","usgsCitation":"Parks, M.A., Collazo, J., Colon, J.A., Ramos Alvarez, K.R., and Diaz, O., 2016, Change in numbers of resident and migratory shorebirds at the Cabo Rojo Salt Flats, Puerto Rico, USA (1985–2014): Waterbirds, v. 39, no. 2, p. 209-214, https://doi.org/10.1675/063.039.0213.","productDescription":"6 p.","startPage":"209","endPage":"214","ipdsId":"IP-070135","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":331828,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.21641540527344,\n 17.928109247721633\n ],\n [\n -67.21641540527344,\n 18.061659495798455\n ],\n [\n -67.05162048339844,\n 18.061659495798455\n ],\n [\n -67.05162048339844,\n 17.928109247721633\n ],\n [\n -67.21641540527344,\n 17.928109247721633\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"39","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"584bd0dee4b077fc20250e10","contributors":{"authors":[{"text":"Parks, Morgan A.","contributorId":177347,"corporation":false,"usgs":false,"family":"Parks","given":"Morgan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":655406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collazo, Jaime A. 0000-0002-1816-7744 jaime_collazo@usgs.gov","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":173448,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime A.","email":"jaime_collazo@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":655383,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Colon, Jose A.","contributorId":177349,"corporation":false,"usgs":false,"family":"Colon","given":"Jose","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":655407,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ramos Alvarez, Katsi R.","contributorId":177348,"corporation":false,"usgs":false,"family":"Ramos Alvarez","given":"Katsi","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":655408,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Diaz, Oscar","contributorId":177350,"corporation":false,"usgs":false,"family":"Diaz","given":"Oscar","email":"","affiliations":[],"preferred":false,"id":655409,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70179056,"text":"70179056 - 2016 - Development and use of mathematical models and software frameworks for integrated analysis of agricultural systems and associated water use impacts","interactions":[],"lastModifiedDate":"2016-12-15T15:47:50","indexId":"70179056","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5237,"text":"AIMS Agriculture and Food","active":true,"publicationSubtype":{"id":10}},"title":"Development and use of mathematical models and software frameworks for integrated analysis of agricultural systems and associated water use impacts","docAbstract":"The development of appropriate water management strategies requires, in part, a methodology for quantifying and evaluating the impact of water policy decisions on regional stakeholders. In this work, we describe the framework we are developing to enhance the body of resources available to policy makers, farmers, and other community members in their e orts to understand, quantify, and assess the often competing objectives water consumers have with respect to usage. The foundation for the framework is the construction of a simulation-based optimization software tool using two existing software packages. In particular, we couple a robust optimization software suite (DAKOTA) with the USGS MF-OWHM water management simulation tool to provide a flexible software environment that will enable the evaluation of one or multiple (possibly competing) user-defined (or stakeholder) objectives. We introduce the individual software components and outline the communication strategy we defined for the coupled development. We present numerical results for case studies related to crop portfolio management with several defined objectives. The objectives are not optimally satisfied for any single user class, demonstrating the capability of the software tool to aid in the evaluation of a variety of competing interests.
","language":"English","publisher":"AIMS Press","doi":"10.3934/agrfood.2016.2.208","usgsCitation":"Fowler, K.R., Jenkins, E., Parno, M., Chrispell, J., Colon, A.I., and Hanson, R.T., 2016, Development and use of mathematical models and software frameworks for integrated analysis of agricultural systems and associated water use impacts: AIMS Agriculture and Food, v. 1, no. 2, p. 208-226, https://doi.org/10.3934/agrfood.2016.2.208.","productDescription":"19 p.","startPage":"208","endPage":"226","ipdsId":"IP-072839","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":470950,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3934/agrfood.2016.2.208","text":"Publisher Index Page"},{"id":332193,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5853ba42e4b0e2663625f2c0","contributors":{"authors":[{"text":"Fowler, K. R.","contributorId":177462,"corporation":false,"usgs":false,"family":"Fowler","given":"K.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":655890,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenkins, E.W.","contributorId":177463,"corporation":false,"usgs":false,"family":"Jenkins","given":"E.W.","email":"","affiliations":[],"preferred":false,"id":655891,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parno, M.","contributorId":177464,"corporation":false,"usgs":false,"family":"Parno","given":"M.","email":"","affiliations":[],"preferred":false,"id":655892,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chrispell, J.C.","contributorId":177465,"corporation":false,"usgs":false,"family":"Chrispell","given":"J.C.","email":"","affiliations":[],"preferred":false,"id":655893,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Colon, A. I.","contributorId":177466,"corporation":false,"usgs":false,"family":"Colon","given":"A.","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":655894,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hanson, Randall T. 0000-0002-9819-7141 rthanson@usgs.gov","orcid":"https://orcid.org/0000-0002-9819-7141","contributorId":801,"corporation":false,"usgs":true,"family":"Hanson","given":"Randall","email":"rthanson@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655889,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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