{"pageNumber":"1406","pageRowStart":"35125","pageSize":"25","recordCount":184733,"records":[{"id":70127986,"text":"70127986 - 2014 - Hybridization of an invasive shrub affects tolerance and resistance to defoliation by a biological control agent","interactions":[],"lastModifiedDate":"2014-10-03T10:03:34","indexId":"70127986","displayToPublicDate":"2014-03-01T10:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1601,"text":"Evolutionary Applications","active":true,"publicationSubtype":{"id":10}},"title":"Hybridization of an invasive shrub affects tolerance and resistance to defoliation by a biological control agent","docAbstract":"Evolution has contributed to the successful invasion of exotic plant species in their introduced ranges, but how evolution affects particular control strategies is still under evaluation. For instance, classical biological control, a common strategy involving the utilization of highly specific natural enemies to control exotic pests, may be negatively affected by host hybridization because of shifts in plant traits, such as root allocation or chemical constituents. We investigated introgression between two parent species of the invasive shrub tamarisk (Tamarix spp.) in the western United States, and how differences in plant traits affect interactions with a biological control agent. Introgression varied strongly with latitude of origin and was highly correlated with plant performance. Increased levels of T. ramosissima introgression resulted in both higher investment in roots and tolerance to defoliation and less resistance to insect attack. Because tamarisk hybridization occurs predictably on the western U.S. landscape, managers may be able to exploit this information to maximize control efforts. Genetic differentiation in plant traits in this system underpins the importance of plant hybridization and may explain why some biological control releases are more successful than others.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Evolutionary Applications","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/eva.12134","usgsCitation":"Williams, W.I., Friedman, J.M., Gaskin, J.F., and Norton, A., 2014, Hybridization of an invasive shrub affects tolerance and resistance to defoliation by a biological control agent: Evolutionary Applications, v. 7, no. 3, p. 381-393, https://doi.org/10.1111/eva.12134.","productDescription":"13 p.","startPage":"381","endPage":"393","numberOfPages":"13","ipdsId":"IP-051243","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":473142,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eva.12134","text":"Publisher Index Page"},{"id":294898,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":294890,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/eva.12134"}],"country":"United States","state":"Colorado","city":"Fort Collins","volume":"7","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-01-15","publicationStatus":"PW","scienceBaseUri":"542fbaa1e4b092f17df61d1f","contributors":{"authors":[{"text":"Williams, Wyatt I.","contributorId":12387,"corporation":false,"usgs":true,"family":"Williams","given":"Wyatt","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":502721,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663 friedmanj@usgs.gov","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":2473,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","email":"friedmanj@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":502720,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gaskin, John F.","contributorId":39307,"corporation":false,"usgs":true,"family":"Gaskin","given":"John","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":502722,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Norton, Andrew P.","contributorId":46436,"corporation":false,"usgs":true,"family":"Norton","given":"Andrew P.","affiliations":[],"preferred":false,"id":502723,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70132442,"text":"70132442 - 2014 - Suppressing bullfrog larvae with carbon dioxide","interactions":[],"lastModifiedDate":"2020-12-31T18:45:44.393254","indexId":"70132442","displayToPublicDate":"2014-03-01T10:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2334,"text":"Journal of Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Suppressing bullfrog larvae with carbon dioxide","docAbstract":"Current management strategies for the control and suppression of the American Bullfrog (Lithobates catesbeianus = Rana catesbeiana Shaw) and other invasive amphibians have had minimal effect on their abundance and distribution. This study evaluates the effects of carbon dioxide (CO2) on pre- and prometamorphic Bullfrog larvae. Bullfrogs are a model organism for evaluating potential suppression agents because they are a successful invader worldwide. From experimental trials we estimated that the 24-h 50% and 99% lethal concentration (LC50 and LC99) values for Bullfrog larvae were 371 and 549 mg CO2/L, respectively. Overall, larvae that succumbed to experimental conditions had a lower body condition index than those that survived. We also documented sublethal changes in blood chemistry during prolonged exposure to elevated CO2. Specifically, blood pH decreased by more than 0.5 pH units after 9 h of exposure and both blood partial pressure of CO2 (pCO2) and blood glucose increased. These findings suggest that CO2 treatments can be lethal to Bullfrog larvae under controlled laboratory conditions. We believe this work represents the necessary foundation for further consideration of CO2 as a potential suppression agent for one of the most harmful invaders to freshwater ecosystems.
","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","publisherLocation":"Athen, OH","doi":"10.1670/12-126","usgsCitation":"Abbey-Lambert, M., Ray, A., Layhee, M.J., Densmore, C.L., Sepulveda, A., Gross, J.A., and Watten, B.J., 2014, Suppressing bullfrog larvae with carbon dioxide: Journal of Herpetology, v. 48, no. 1, p. 59-66, https://doi.org/10.1670/12-126.","productDescription":"8 p.","startPage":"59","endPage":"66","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-037335","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":296036,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5465d63be4b04d4b7dbd66a9","contributors":{"authors":[{"text":"Abbey-Lambert, Mark 0000-0001-9828-0159","orcid":"https://orcid.org/0000-0001-9828-0159","contributorId":127020,"corporation":false,"usgs":false,"family":"Abbey-Lambert","given":"Mark","email":"","affiliations":[{"id":6766,"text":"former USGS NOROCK Step-Student","active":true,"usgs":false}],"preferred":false,"id":522888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ray, Andrew","contributorId":101972,"corporation":false,"usgs":true,"family":"Ray","given":"Andrew","affiliations":[],"preferred":false,"id":522883,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Layhee, Megan J. 0000-0003-1359-1455 mlayhee@usgs.gov","orcid":"https://orcid.org/0000-0003-1359-1455","contributorId":3955,"corporation":false,"usgs":true,"family":"Layhee","given":"Megan","email":"mlayhee@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":522887,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Densmore, Christine L. 0000-0001-6440-0781 cdensmore@usgs.gov","orcid":"https://orcid.org/0000-0001-6440-0781","contributorId":4560,"corporation":false,"usgs":true,"family":"Densmore","given":"Christine","email":"cdensmore@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":522886,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sepulveda, Adam 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":4187,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":522884,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gross, Jackson A.","contributorId":14273,"corporation":false,"usgs":true,"family":"Gross","given":"Jackson","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":522882,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Watten, Barnaby J. 0000-0002-2227-8623 bwatten@usgs.gov","orcid":"https://orcid.org/0000-0002-2227-8623","contributorId":2002,"corporation":false,"usgs":true,"family":"Watten","given":"Barnaby","email":"bwatten@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":522885,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70129218,"text":"70129218 - 2014 - Watershed-scale modeling of streamflow change in incised montane meadows","interactions":[],"lastModifiedDate":"2014-10-21T09:59:29","indexId":"70129218","displayToPublicDate":"2014-03-01T09:56:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Watershed-scale modeling of streamflow change in incised montane meadows","docAbstract":"Land use practices have caused stream channel incision and water table decline in many montane meadows of the Western United States. Incision changes the magnitude and timing of streamflow in water supply source watersheds, a concern to resource managers and downstream water users. The hydrology of montane meadows under natural and incised conditions was investigated using watershed simulation for a range of hydrologic conditions. The results illustrate the interdependence between: watershed and meadow hydrology; bedrock and meadow aquifers; and surface and groundwater flow through the meadow for the modeled scenarios. During the wet season, stream incision resulted in less overland flow and interflow and more meadow recharge causing a net decrease in streamflow and increase in groundwater storage relative to natural meadow conditions. During the dry season, incision resulted in less meadow evapotranspiration and more groundwater discharge to the stream causing a net increase in streamflow and a decrease in groundwater storage relative to natural meadow conditions. In general, for a given meadow setting, the magnitude of change in summer streamflow and long-term change in watershed groundwater storage due to incision will depend on the combined effect of: reduced evapotranspiration in the eroded meadow; induced groundwater recharge; replenishment of dry season groundwater storage depletion in meadow and bedrock aquifers by precipitation during wet years; and groundwater storage depletion that is not replenished by precipitation during wet years.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1002/2013WR014420","usgsCitation":"Essaid, H.I., and Hill, B., 2014, Watershed-scale modeling of streamflow change in incised montane meadows: Water Resources Research, v. 50, no. 3, p. 2657-2678, https://doi.org/10.1002/2013WR014420.","productDescription":"22 p.","startPage":"2657","endPage":"2678","numberOfPages":"22","ipdsId":"IP-052739","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":295519,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":295482,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2013WR014420"}],"country":"United States","volume":"50","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-03-25","publicationStatus":"PW","scienceBaseUri":"544775d6e4b0f888a81b835c","contributors":{"authors":[{"text":"Essaid, Hedeff I. 0000-0003-0154-8628 hiessaid@usgs.gov","orcid":"https://orcid.org/0000-0003-0154-8628","contributorId":2284,"corporation":false,"usgs":true,"family":"Essaid","given":"Hedeff","email":"hiessaid@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":503552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, Barry R.","contributorId":62158,"corporation":false,"usgs":true,"family":"Hill","given":"Barry R.","affiliations":[],"preferred":false,"id":503553,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70102893,"text":"70102893 - 2014 - Statistical evaluation of variables affecting occurrence of hydrocarbons in aquifers used for public supply, California","interactions":[],"lastModifiedDate":"2018-06-08T14:21:34","indexId":"70102893","displayToPublicDate":"2014-03-01T09:23:10","publicationYear":"2014","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":"Statistical evaluation of variables affecting occurrence of hydrocarbons in aquifers used for public supply, California","docAbstract":"The variables affecting the occurrence of hydrocarbons in aquifers used for public supply in California were assessed based on statistical evaluation of three large statewide datasets; gasoline oxygenates also were analyzed for comparison with hydrocarbons. Benzene is the most frequently detected (1.7%) compound among 17 hydrocarbons analyzed at generally low concentrations (median detected concentration 0.024 μg/l) in groundwater used for public supply in California; methyl tert-butyl ether (MTBE) is the most frequently detected (5.8%) compound among seven oxygenates analyzed (median detected concentration 0.1 μg/l). At aquifer depths used for public supply, hydrocarbons and MTBE rarely co-occur and are generally related to different variables; in shallower groundwater, co-occurrence is more frequent and there are similar relations to the density or proximity of potential sources. Benzene concentrations are most strongly correlated with reducing conditions, regardless of groundwater age and depth. Multiple lines of evidence indicate that benzene and other hydrocarbons detected in old, deep, and/or brackish groundwater result from geogenic sources of oil and gas. However, in recently recharged (since ~1950), generally shallower groundwater, higher concentrations and detection frequencies of benzene and hydrocarbons were associated with a greater proportion of commercial land use surrounding the well, likely reflecting effects of anthropogenic sources, particularly in combination with reducing conditions.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the American Water Resources Association","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/jawr.12129","usgsCitation":"Landon, M.K., Burton, C., Davis, T., Belitz, K., and Johnson, T., 2014, Statistical evaluation of variables affecting occurrence of hydrocarbons in aquifers used for public supply, California: Journal of the American Water Resources Association, v. 50, no. 1, p. 179-195, https://doi.org/10.1111/jawr.12129.","productDescription":"17 p.","startPage":"179","endPage":"195","ipdsId":"IP-028405","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":286680,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":286619,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/jawr.12129"}],"country":"United States","state":"California","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.41,32.53 ], [ -124.41,42.0 ], [ -114.13,42.0 ], [ -114.13,32.53 ], [ -124.41,32.53 ] ] ] } } ] }","volume":"50","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-10-08","publicationStatus":"PW","scienceBaseUri":"535f7874e4b078dca33ae384","contributors":{"authors":[{"text":"Landon, Matthew K. 0000-0002-5766-0494 landon@usgs.gov","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":392,"corporation":false,"usgs":true,"family":"Landon","given":"Matthew","email":"landon@usgs.gov","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493077,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burton, Carmen A. 0000-0002-6381-8833","orcid":"https://orcid.org/0000-0002-6381-8833","contributorId":41793,"corporation":false,"usgs":true,"family":"Burton","given":"Carmen A.","affiliations":[],"preferred":false,"id":493079,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davis, Tracy A. 0000-0003-0253-6661","orcid":"https://orcid.org/0000-0003-0253-6661","contributorId":59339,"corporation":false,"usgs":true,"family":"Davis","given":"Tracy A.","affiliations":[],"preferred":false,"id":493080,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493078,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Tyler D. 0000-0002-7334-9188","orcid":"https://orcid.org/0000-0002-7334-9188","contributorId":64366,"corporation":false,"usgs":true,"family":"Johnson","given":"Tyler D.","affiliations":[],"preferred":false,"id":493081,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70118246,"text":"70118246 - 2014 - Predictions of barrier island berm evolution in a time-varying storm climatology","interactions":[],"lastModifiedDate":"2025-05-13T17:01:45.973428","indexId":"70118246","displayToPublicDate":"2014-03-01T09:22:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Predictions of barrier island berm evolution in a time-varying storm climatology","docAbstract":"Low-lying barrier islands are ubiquitous features of the world's coastlines, and the processes responsible for their formation, maintenance, and destruction are related to the evolution of smaller, superimposed features including sand dunes, beach berms, and sandbars. The barrier island and its superimposed features interact with oceanographic forces (e.g., overwash) and exchange sediment with each other and other parts of the barrier island system. These interactions are modulated by changes in storminess. An opportunity to study these interactions resulted from the placement and subsequent evolution of a 2 m high sand berm constructed along the northern Chandeleur Islands, LA. We show that observed berm length evolution is well predicted by a model that was fit to the observations by estimating two parameters describing the rate of berm length change. The model evaluates the probability and duration of berm overwash to predict episodic berm erosion. A constant berm length change rate is also predicted that persists even when there is no overwash. The analysis is extended to a 16 year time series that includes both intraannual and interannual variability of overwash events. This analysis predicts that as many as 10 or as few as 1 day of overwash conditions would be expected each year. And an increase in berm elevation from 2 m to 3.5 m above mean sea level would reduce the expected frequency of overwash events from 4 to just 0.5 event-days per year. This approach can be applied to understanding barrier island and berm evolution at other locations using past and future storm climatologies.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research F: Earth Surface","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/2013JF002871","usgsCitation":"Plant, N.G., Flocks, J., Stockdon, H.F., Long, J.W., Guy, K.K., Thompson, D.M., Cormier, J.M., Smith, C.G., Miselis, J.L., and Dalyander, P., 2014, Predictions of barrier island berm evolution in a time-varying storm climatology: Journal of Geophysical Research F: Earth Surface, v. 119, no. 2, p. 300-316, https://doi.org/10.1002/2013JF002871.","productDescription":"17 p.","startPage":"300","endPage":"316","numberOfPages":"17","ipdsId":"IP-046052","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":291085,"rank":2,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2013JF002871"},{"id":291089,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":473145,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013jf002871","text":"Publisher Index Page"}],"country":"United States","state":"Louisiana","otherGeospatial":"Chandeleur Islands","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.350941,29.526037 ], [ -89.350941,30.145491 ], [ -88.326465,30.145491 ], [ -88.326465,29.526037 ], [ -89.350941,29.526037 ] ] ] } } ] }","volume":"119","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-02-19","publicationStatus":"PW","scienceBaseUri":"57f7f143e4b0bc0bec09fc88","contributors":{"authors":[{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":496552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flocks, James","contributorId":62266,"corporation":false,"usgs":true,"family":"Flocks","given":"James","affiliations":[],"preferred":false,"id":496556,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stockdon, Hilary F. 0000-0003-0791-4676 hstockdon@usgs.gov","orcid":"https://orcid.org/0000-0003-0791-4676","contributorId":2153,"corporation":false,"usgs":true,"family":"Stockdon","given":"Hilary","email":"hstockdon@usgs.gov","middleInitial":"F.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":496548,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Long, Joseph W. 0000-0003-2912-1992 jwlong@usgs.gov","orcid":"https://orcid.org/0000-0003-2912-1992","contributorId":3303,"corporation":false,"usgs":true,"family":"Long","given":"Joseph","email":"jwlong@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":496549,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guy, Kristy K. kguy@usgs.gov","contributorId":3546,"corporation":false,"usgs":true,"family":"Guy","given":"Kristy","email":"kguy@usgs.gov","middleInitial":"K.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":496553,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thompson, David M. 0000-0002-7103-5740 dthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-7103-5740","contributorId":3502,"corporation":false,"usgs":true,"family":"Thompson","given":"David","email":"dthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":496551,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cormier, Jamie M.","contributorId":54906,"corporation":false,"usgs":true,"family":"Cormier","given":"Jamie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":496555,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Smith, Christopher G. 0000-0002-8075-4763 cgsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-8075-4763","contributorId":3410,"corporation":false,"usgs":true,"family":"Smith","given":"Christopher","email":"cgsmith@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":496550,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Miselis, Jennifer L. 0000-0002-4925-3979 jmiselis@usgs.gov","orcid":"https://orcid.org/0000-0002-4925-3979","contributorId":3914,"corporation":false,"usgs":true,"family":"Miselis","given":"Jennifer","email":"jmiselis@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":496554,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Dalyander, P. Soupy 0000-0001-9583-0872","orcid":"https://orcid.org/0000-0001-9583-0872","contributorId":65177,"corporation":false,"usgs":true,"family":"Dalyander","given":"P. Soupy","affiliations":[],"preferred":false,"id":496557,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70131504,"text":"70131504 - 2014 - Methods to estimate distribution and range extent of grizzly bears in the Greater Yellowstone Ecosystem","interactions":[],"lastModifiedDate":"2018-03-17T17:33:08","indexId":"70131504","displayToPublicDate":"2014-03-01T09:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Methods to estimate distribution and range extent of grizzly bears in the Greater Yellowstone Ecosystem","docAbstract":"The distribution of the Greater Yellowstone Ecosystem grizzly bear (Ursus arctos) population has expanded into areas unoccupied since the early 20th century. Up-to-date information on the area and extent of this distribution is crucial for federal, state, and tribal wildlife and land managers to make informed decisions regarding grizzly bear management. The most recent estimate of grizzly bear distribution (2004) utilized fixed-kernel density estimators to describe distribution. This method was complex and computationally time consuming and excluded observations of unmarked bears. Our objective was to develop a technique to estimate grizzly bear distribution that would allow for the use of all verified grizzly bear location data, as well as provide the simplicity to be updated more frequently. We placed all verified grizzly bear locations from all sources from 1990 to 2004 and 1990 to 2010 onto a 3-km × 3-km grid and used zonal analysis and ordinary kriging to develop a predicted surface of grizzly bear distribution. We compared the area and extent of the 2004 kriging surface with the previous 2004 effort and evaluated changes in grizzly bear distribution from 2004 to 2010. The 2004 kriging surface was 2.4% smaller than the previous fixed-kernel estimate, but more closely represented the data. Grizzly bear distribution increased 38.3% from 2004 to 2010, with most expansion in the northern and southern regions of the range. This technique can be used to provide a current estimate of grizzly bear distribution for management and conservation applications.
","language":"English","publisher":"Wiley","doi":"10.1002/wsb.368","usgsCitation":"Haroldson, M.A., Schwartz, C.C., Thompson, D.J., Bjornlie, D., Gunther, K.A., Cain, S.L., Tyers, D.B., Frey, K.L., and Aber, B.C., 2014, Methods to estimate distribution and range extent of grizzly bears in the Greater Yellowstone Ecosystem: Wildlife Society Bulletin, v. 38, no. 1, p. 182-187, https://doi.org/10.1002/wsb.368.","productDescription":"6 p.","startPage":"182","endPage":"187","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044551","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":499961,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/e37bdcc3f366472dab22afe3097cb52b","text":"External Repository"},{"id":438772,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RLJ1E6","text":"USGS data release","linkHelpText":"Occupied Range of the Yellowstone Grizzly Bear 2008-2022"},{"id":438771,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90J6L48","text":"USGS data release","linkHelpText":"Occupied Range of the Yellowstone Grizzly Bear 2006-2020"},{"id":296027,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"1","noUsgsAuthors":false,"publicationDate":"2013-11-08","publicationStatus":"PW","scienceBaseUri":"5465d633e4b04d4b7dbd6607","contributors":{"authors":[{"text":"Haroldson, Mark A. 0000-0002-7457-7676 mharoldson@usgs.gov","orcid":"https://orcid.org/0000-0002-7457-7676","contributorId":1773,"corporation":false,"usgs":true,"family":"Haroldson","given":"Mark","email":"mharoldson@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":521358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwartz, Charles C.","contributorId":55950,"corporation":false,"usgs":true,"family":"Schwartz","given":"Charles","email":"","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":false,"id":521357,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Daniel J.","contributorId":149795,"corporation":false,"usgs":false,"family":"Thompson","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":5116,"text":"Large Carnivore Section, Wyoming Game & Fish Department, 260 Buena Vista, Lander, WY 82520, USA","active":true,"usgs":false}],"preferred":false,"id":521361,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bjornlie, Daniel D.","contributorId":145512,"corporation":false,"usgs":false,"family":"Bjornlie","given":"Daniel D.","affiliations":[{"id":16140,"text":"Wyoming Game & Fish Department, Large Carnivore Section, Lander, Wyoming 82520, USA","active":true,"usgs":false}],"preferred":false,"id":521360,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Gunther, Kerry A.","contributorId":190246,"corporation":false,"usgs":false,"family":"Gunther","given":"Kerry","email":"","middleInitial":"A.","affiliations":[{"id":5130,"text":"Bear Management Office, Yellowstone National Park, WY 82190, USA","active":true,"usgs":false}],"preferred":false,"id":521362,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Cain, Steven L.","contributorId":145511,"corporation":false,"usgs":false,"family":"Cain","given":"Steven","email":"","middleInitial":"L.","affiliations":[{"id":16139,"text":"National Park Service, Grand Teton National Park, Moose, Wyoming 83012, USA","active":true,"usgs":false}],"preferred":false,"id":521363,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Tyers, Daniel B.","contributorId":124587,"corporation":false,"usgs":false,"family":"Tyers","given":"Daniel","email":"","middleInitial":"B.","affiliations":[{"id":5129,"text":"U.S. Forest Service, 2327 University Way, Bozeman, MT 59715, USA","active":true,"usgs":false}],"preferred":false,"id":521359,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Frey, Kevin L.","contributorId":124580,"corporation":false,"usgs":false,"family":"Frey","given":"Kevin","email":"","middleInitial":"L.","affiliations":[{"id":5125,"text":"Montana Fish Wildlife and Parks, Bear Management Office, 1400 South 19th Avenue, Bozeman, MT 59718","active":true,"usgs":false}],"preferred":false,"id":525131,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Aber, Bryan C.","contributorId":124581,"corporation":false,"usgs":false,"family":"Aber","given":"Bryan","email":"","middleInitial":"C.","affiliations":[{"id":5126,"text":"Idaho Department of Fish and Game, 3726 Highway 20, Island Park, ID 83429","active":true,"usgs":false}],"preferred":false,"id":525132,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70096614,"text":"70096614 - 2014 - Rapid earthquake characterization using MEMS accelerometers and volunteer hosts following the M 7.2 Darfield, New Zealand, Earthquake","interactions":[],"lastModifiedDate":"2019-07-17T16:25:56","indexId":"70096614","displayToPublicDate":"2014-03-01T09:14:01","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Rapid earthquake characterization using MEMS accelerometers and volunteer hosts following the M 7.2 Darfield, New Zealand, Earthquake","docAbstract":"We test the feasibility of rapidly detecting and characterizing earthquakes with the Quake‐Catcher Network (QCN) that connects low‐cost microelectromechanical systems accelerometers to a network of volunteer‐owned, Internet‐connected computers. Following the 3 September 2010 M 7.2 Darfield, New Zealand, earthquake we installed over 180 QCN sensors in the Christchurch region to record the aftershock sequence. The sensors are monitored continuously by the host computer and send trigger reports to the central server. The central server correlates incoming triggers to detect when an earthquake has occurred. The location and magnitude are then rapidly estimated from a minimal set of received ground‐motion parameters. Full seismic time series are typically not retrieved for tens of minutes or even hours after an event. We benchmark the QCN real‐time detection performance against the GNS Science GeoNet earthquake catalog. Under normal network operations, QCN detects and characterizes earthquakes within 9.1 s of the earthquake rupture and determines the magnitude within 1 magnitude unit of that reported in the GNS catalog for 90% of the detections.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Bulletin of the Seismological Society of America","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120120196","usgsCitation":"Lawrence, J.F., Cochran, E., Chung, A., Kaiser, A., Christensen, C.M., Allen, R., Baker, J., Fry, B., Heaton, T., Kilb, D., Kohler, M., and Taufer, M., 2014, Rapid earthquake characterization using MEMS accelerometers and volunteer hosts following the M 7.2 Darfield, New Zealand, Earthquake: Bulletin of the Seismological Society of America, v. 104, no. 1, p. 184-192, https://doi.org/10.1785/0120120196.","productDescription":"9 p.","startPage":"184","endPage":"192","ipdsId":"IP-048916","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":473146,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://resolver.caltech.edu/CaltechAUTHORS:20140306-103803406","text":"External Repository"},{"id":283970,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1785/0120120196"},{"id":284000,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"New Zealand","city":"Darfield","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ 171.98,-43.55 ], [ 171.98,-43.41 ], [ 172.19,-43.41 ], [ 172.19,-43.55 ], [ 171.98,-43.55 ] ] ] } } ] }","volume":"104","issue":"1","noUsgsAuthors":false,"publicationDate":"2014-01-07","publicationStatus":"PW","scienceBaseUri":"5351705ee4b05569d805a385","contributors":{"authors":[{"text":"Lawrence, J. F.","contributorId":14224,"corporation":false,"usgs":false,"family":"Lawrence","given":"J.","email":"","middleInitial":"F.","affiliations":[{"id":7033,"text":"School of Earth Sciences, Stanford University","active":true,"usgs":false}],"preferred":false,"id":491513,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cochran, E.S.","contributorId":74561,"corporation":false,"usgs":true,"family":"Cochran","given":"E.S.","email":"","affiliations":[],"preferred":false,"id":491520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chung, A.","contributorId":32820,"corporation":false,"usgs":true,"family":"Chung","given":"A.","affiliations":[],"preferred":false,"id":491514,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kaiser, A.","contributorId":90424,"corporation":false,"usgs":true,"family":"Kaiser","given":"A.","email":"","affiliations":[],"preferred":false,"id":491521,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Christensen, C. M.","contributorId":71094,"corporation":false,"usgs":false,"family":"Christensen","given":"C.","email":"","middleInitial":"M.","affiliations":[{"id":7033,"text":"School of Earth Sciences, Stanford University","active":true,"usgs":false}],"preferred":false,"id":491519,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Allen, R.","contributorId":7990,"corporation":false,"usgs":true,"family":"Allen","given":"R.","affiliations":[],"preferred":false,"id":491512,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Baker, J.W.","contributorId":46525,"corporation":false,"usgs":true,"family":"Baker","given":"J.W.","email":"","affiliations":[],"preferred":false,"id":491515,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fry, B.","contributorId":52694,"corporation":false,"usgs":true,"family":"Fry","given":"B.","email":"","affiliations":[],"preferred":false,"id":491517,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Heaton, T.","contributorId":107862,"corporation":false,"usgs":true,"family":"Heaton","given":"T.","affiliations":[],"preferred":false,"id":491523,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kilb, Debi","contributorId":90892,"corporation":false,"usgs":true,"family":"Kilb","given":"Debi","affiliations":[],"preferred":false,"id":491522,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kohler, M.D.","contributorId":47399,"corporation":false,"usgs":true,"family":"Kohler","given":"M.D.","email":"","affiliations":[],"preferred":false,"id":491516,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Taufer, M.","contributorId":56862,"corporation":false,"usgs":true,"family":"Taufer","given":"M.","email":"","affiliations":[],"preferred":false,"id":491518,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70074264,"text":"70074264 - 2014 - Seismological analyses of the 2010 March 11, Pichilemu, Chile Mw 7.0 and Mw 6.9 coastal intraplate earthquakes","interactions":[],"lastModifiedDate":"2014-03-04T16:23:23","indexId":"70074264","displayToPublicDate":"2014-03-01T09:10:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Seismological analyses of the 2010 March 11, Pichilemu, Chile Mw 7.0 and Mw 6.9 coastal intraplate earthquakes","docAbstract":"On 2010 March 11, a sequence of large, shallow continental crust earthquakes shook central Chile. Two normal faulting events with magnitudes around Mw 7.0 and Mw 6.9 occurred just 15 min apart, located near the town of Pichilemu. These kinds of large intraplate, inland crustal earthquakes are rare above the Chilean subduction zone, and it is important to better understand their relationship with the 2010 February 27, Mw 8.8, Maule earthquake, which ruptured the adjacent megathrust plate boundary. We present a broad seismological analysis of these earthquakes by using both teleseismic and regional data. We compute seismic moment tensors for both events via a W-phase inversion, and test sensitivities to various inversion parameters in order to assess the stability of the solutions. The first event, at 14 hr 39 min GMT, is well constrained, displaying a fault plane with strike of N145°E, and a preferred dip angle of 55°SW, consistent with the trend of aftershock locations and other published results. Teleseismic finite-fault inversions for this event show a large slip zone along the southern part of the fault, correlating well with the reported spatial density of aftershocks. The second earthquake (14 hr 55 min GMT) appears to have ruptured a fault branching southward from the previous ruptured fault, within the hanging wall of the first event. Modelling seismograms at regional to teleseismic distances (Δ > 10°) is quite challenging because the observed seismic wave fields of both events overlap, increasing apparent complexity for the second earthquake. We perform both point- and extended-source inversions at regional and teleseismic distances, assessing model sensitivities resulting from variations in fault orientation, dimension, and hypocentre location. Results show that the focal mechanism for the second event features a steeper dip angle and a strike rotated slightly clockwise with respect to the previous event. This kind of geological fault configuration, with secondary rupture in the hanging wall of a large normal fault, is commonly observed in extensional geological regimes. We propose that both earthquakes form part of a typical normal fault diverging splay, where the secondary fault connects to the main fault at depth. To ascertain more information on the spatial and temporal details of slip for both events, we gathered near-fault seismological and geodetic data. Through forward modelling of near-fault synthetic seismograms we build a kinematic k−2 earthquake source model with spatially distributed slip on the fault that, to first-order, explains both coseismic static displacement GPS vectors and short-period seismometer observations at the closest sites. As expected, the results for the first event agree with the focal mechanism derived from teleseismic modelling, with a magnitude Mw 6.97. Similarly, near-fault modelling for the second event suggests rupture along a normal fault, Mw 6.90, characterized by a steeper dip angle (dip = 74°) and a strike clockwise rotated (strike = 155°) with respect to the previous event.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Journal International","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Oxford University Press","doi":"10.1093/gji/ggt513","usgsCitation":"Ruiz, J.A., Hayes, G., Carrizo, D., Kanamori, H., Socquet, A., and Comte, D., 2014, Seismological analyses of the 2010 March 11, Pichilemu, Chile Mw 7.0 and Mw 6.9 coastal intraplate earthquakes: Geophysical Journal International, v. 196, no. 3, 21 p., https://doi.org/10.1093/gji/ggt513.","productDescription":"21 p.","ipdsId":"IP-053432","costCenters":[{"id":415,"text":"National Earthquake Information Center","active":false,"usgs":true}],"links":[{"id":473147,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/gji/ggt513","text":"Publisher Index Page"},{"id":283363,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":281636,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1093/gji/ggt513"}],"country":"Chile","city":"Pichilemu","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -72.056,-34.586 ], [ -72.056,-34.165 ], [ -71.746,-34.165 ], [ -71.746,-34.586 ], [ -72.056,-34.586 ] ] ] } } ] }","volume":"196","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-02-07","publicationStatus":"PW","scienceBaseUri":"5351705fe4b05569d805a39a","contributors":{"authors":[{"text":"Ruiz, Javier A.","contributorId":39287,"corporation":false,"usgs":true,"family":"Ruiz","given":"Javier","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":489457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayes, Gavin P. 0000-0003-3323-0112","orcid":"https://orcid.org/0000-0003-3323-0112","contributorId":6157,"corporation":false,"usgs":true,"family":"Hayes","given":"Gavin P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":489455,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carrizo, Daniel","contributorId":36456,"corporation":false,"usgs":true,"family":"Carrizo","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":489456,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kanamori, Hiroo","contributorId":106120,"corporation":false,"usgs":true,"family":"Kanamori","given":"Hiroo","affiliations":[],"preferred":false,"id":489460,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Socquet, Anne","contributorId":65764,"corporation":false,"usgs":true,"family":"Socquet","given":"Anne","email":"","affiliations":[],"preferred":false,"id":489459,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Comte, Diana","contributorId":40514,"corporation":false,"usgs":true,"family":"Comte","given":"Diana","email":"","affiliations":[],"preferred":false,"id":489458,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70095570,"text":"70095570 - 2014 - Nitrogen deposition effects on diatom communities in lakes from three National Parks in Washington State","interactions":[],"lastModifiedDate":"2016-05-30T13:26:49","indexId":"70095570","displayToPublicDate":"2014-03-01T09:07:54","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3728,"text":"Water, Air, & Soil Pollution","onlineIssn":"1573-2932","printIssn":"0049-6979","active":true,"publicationSubtype":{"id":10}},"title":"Nitrogen deposition effects on diatom communities in lakes from three National Parks in Washington State","docAbstract":"The goal of this study was to document if lakes in National Parks in Washington have exceeded critical levels of nitrogen (N) deposition, as observed in other Western States. We measured atmospheric N deposition, lake water quality, and sediment diatoms at our study lakes. Water chemistry showed that our study lakes were ultra-oligotrophic with ammonia and nitrate concentrations often at or below detection limits with low specific conductance (−1 year−1 and were variable both within and across the parks. Diatom assemblages in a single sediment core from Hoh Lake (Olympic National Park) displayed a shift to increased relative abundances of Asterionella formosa and Fragilaria tenera beginning in the 1969–1975 timeframe, whereas these species were not found at the remaining (nine) sites. These diatom species are known to be indicative of N enrichment and were used to determine an empirical critical load of N deposition, or threshold level, where changes in diatom communities were observed at Hoh Lake. However, N deposition at the remaining nine lakes does not seem to exceed a critical load at this time. At Milk Lake, also in Olympic National Park, there was some evidence that climate change might be altering diatom communities, but more research is needed to confirm this. We used modeled precipitation for Hoh Lake and annual inorganic N concentrations from a nearby National Atmospheric Deposition Program station, to calculate elevation-corrected N deposition for 1980–2009 at Hoh Lake. An exponential fit to this data was hindcasted to the 1969–1975 time period, and we estimate a critical load of 1.0 to 1.2 kg N ha−1 year−1 for wet deposition for this lake.
","language":"English","publisher":"Springer","doi":"10.1007/s11270-013-1857-x","usgsCitation":"Sheibley, R.W., Enache, M., Swarzenski, P.W., Moran, P.W., and Foreman, J.R., 2014, Nitrogen deposition effects on diatom communities in lakes from three National Parks in Washington State: Water, Air, & Soil Pollution, v. 225, art1985: 23 p., https://doi.org/10.1007/s11270-013-1857-x.","productDescription":"art1985: 23 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052849","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":473148,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11270-013-1857-x","text":"Publisher Index Page"},{"id":283449,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":283386,"rank":1,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11270-013-1857-x"}],"country":"United States","state":"Washington","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.79,45.55 ], [ -124.79,49.0 ], [ -116.92,49.0 ], [ -116.92,45.55 ], [ -124.79,45.55 ] ] ] } } ] }","volume":"225","noUsgsAuthors":false,"publicationDate":"2014-02-01","publicationStatus":"PW","scienceBaseUri":"574d65ece4b07e28b6684919","contributors":{"authors":[{"text":"Sheibley, Richard W. 0000-0003-1627-8536 sheibley@usgs.gov","orcid":"https://orcid.org/0000-0003-1627-8536","contributorId":87452,"corporation":false,"usgs":true,"family":"Sheibley","given":"Richard","email":"sheibley@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":491305,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Enache, Mihaela","contributorId":55743,"corporation":false,"usgs":true,"family":"Enache","given":"Mihaela","affiliations":[],"preferred":false,"id":491304,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":491302,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moran, Patrick W. 0000-0002-2002-3539 pwmoran@usgs.gov","orcid":"https://orcid.org/0000-0002-2002-3539","contributorId":489,"corporation":false,"usgs":true,"family":"Moran","given":"Patrick","email":"pwmoran@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":491301,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Foreman, James R. 0000-0003-0535-4580 jforeman@usgs.gov","orcid":"https://orcid.org/0000-0003-0535-4580","contributorId":3669,"corporation":false,"usgs":true,"family":"Foreman","given":"James","email":"jforeman@usgs.gov","middleInitial":"R.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":false,"id":491303,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70045860,"text":"70045860 - 2014 - Fishing for resilience","interactions":[],"lastModifiedDate":"2014-03-31T10:15:13","indexId":"70045860","displayToPublicDate":"2014-03-01T09:05:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Fishing for resilience","docAbstract":"Management approaches that focus on social–ecological systems—systems comprised of ecosystems, landscapes, and humans—are needed to secure the sustainability of inland recreational fisheries without jeopardizing the integrity of the underlying social and ecological components. Resilience management can be useful because it focuses on providing recreational capacity for fishermen under a variety of conditions while assuring that the social–ecological system is not pushed to a critical threshold that would result in a new, undesired system regime. Resilience management is based on a system perspective that accounts for the possible regimes a system could manifest. It aims to enhance system properties that allow continued maintenance of the system in a desired regime in which multiple goods and services, including recreational capacity, are provided. In this forum paper, we provide an overview of the potential of a resilience approach to the management of recreational fisheries and highlight the scientific and administrative challenges to its successful implementation.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Transactions of the American Fisheries Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2014.880735","usgsCitation":"Pope, K.L., Allen, C.R., and Angeler, D., 2014, Fishing for resilience: Transactions of the American Fisheries Society, v. 143, no. 2, p. 467-478, https://doi.org/10.1080/00028487.2014.880735.","productDescription":"12 p.","startPage":"467","endPage":"478","numberOfPages":"12","ipdsId":"IP-039280","costCenters":[{"id":463,"text":"Nebraska Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":502543,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.unl.edu/ncfwrustaff/116","text":"External Repository"},{"id":285129,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":285128,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1080/00028487.2014.880735"}],"volume":"143","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-03-07","publicationStatus":"PW","scienceBaseUri":"5351703be4b05569d805a203","contributors":{"authors":[{"text":"Pope, Kevin L. 0000-0003-1876-1687 kpope@usgs.gov","orcid":"https://orcid.org/0000-0003-1876-1687","contributorId":1574,"corporation":false,"usgs":true,"family":"Pope","given":"Kevin","email":"kpope@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":478447,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","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":478448,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Angeler, David G.","contributorId":25027,"corporation":false,"usgs":true,"family":"Angeler","given":"David G.","affiliations":[],"preferred":false,"id":478449,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70099778,"text":"70099778 - 2014 - Historic and recent nesting records of Turkey Vultures in South Dakota","interactions":[],"lastModifiedDate":"2017-12-27T11:43:05","indexId":"70099778","displayToPublicDate":"2014-03-01T09:01:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3441,"text":"South Dakota Bird Notes","active":true,"publicationSubtype":{"id":10}},"title":"Historic and recent nesting records of Turkey Vultures in South Dakota","docAbstract":"Present-day vultures are generally classified into two distinct groups: Old World vultures and new World vultures. The two groups share morphological and behavioral characters (e.g. scavenger diet, energy-efficient soaring, mostly featherless head), but historically the two groups were considered phylogenetically distant with long and independent histories (Rich 198., Wink 1995, Zhang et al. 2012). Old World vultures occur in the family Accipitridae and are closely related to hawks and eagles. New World Vultures occur in the family Cathartidae but their taxonomic placement has been controversial. New World vultures were previously allied with storks (Ciconiidae) but were usually placed within the order Falconiformes. Recent phylogenomic analyses using DNA sequencing suggest that new World vultures show no affinity with storks and support placement of New World vultures with other landbirds (in the order Accipitriformes, near Accipitridae) rather than with waterbirds (Hackett et al. 2008). Old World vultures presently are confined to Europe, Asia, and Africa, and New World vultures presently occur in North and South America.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"South Dakota Bird Notes","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"South Dakota Bird Notes","usgsCitation":"Igl, L.D., Chepulis, B.J., and McLean, K.E., 2014, Historic and recent nesting records of Turkey Vultures in South Dakota: South Dakota Bird Notes, v. 66, no. 1, p. 8-17.","productDescription":"10 p.","startPage":"8","endPage":"17","ipdsId":"IP-053274","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":288137,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":288136,"type":{"id":15,"text":"Index Page"},"url":"https://connection.ebscohost.com/c/articles/95066462/historic-recent-nesting-records-turkey-vultures-south-dakota"}],"country":"United States","state":"South Dakota","county":"Butte County;Custer County;Gregory County;Harding County;Hughes County;Lincoln County;Meade County;Minnehaha County;Pennington County;Tripp County;Union County","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -104.0577,42.4797 ], [ -104.0577,45.9457 ], [ -96.4366,45.9457 ], [ -96.4366,42.4797 ], [ -104.0577,42.4797 ] ] ] } } ] }","volume":"66","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae7739e4b0abf75cf2c0b0","contributors":{"authors":[{"text":"Igl, Lawrence D. 0000-0003-0530-7266 ligl@usgs.gov","orcid":"https://orcid.org/0000-0003-0530-7266","contributorId":2381,"corporation":false,"usgs":true,"family":"Igl","given":"Lawrence","email":"ligl@usgs.gov","middleInitial":"D.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":492022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chepulis, Brian J.","contributorId":30548,"corporation":false,"usgs":true,"family":"Chepulis","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":492023,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McLean, Kyle E.","contributorId":82617,"corporation":false,"usgs":true,"family":"McLean","given":"Kyle","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":492024,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70097332,"text":"70097332 - 2014 - Estrogen and androgen receptor activities of hydraulic fracturing chemicals and surface and ground water in a drilling-dense region","interactions":[],"lastModifiedDate":"2018-09-14T15:14:16","indexId":"70097332","displayToPublicDate":"2014-03-01T09:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1504,"text":"Endocrinology","active":true,"publicationSubtype":{"id":10}},"title":"Estrogen and androgen receptor activities of hydraulic fracturing chemicals and surface and ground water in a drilling-dense region","docAbstract":"The rapid rise in natural gas extraction using hydraulic fracturing increases the potential for contamination of surface and ground water from chemicals used throughout the process. Hundreds of products containing more than 750 chemicals and components are potentially used throughout the extraction process, including more than 100 known or suspected endocrine-disrupting chemicals. We hypothesized thataselected subset of chemicalsusedin natural gas drilling operationsandalso surface and ground water samples collected in a drilling-dense region of Garfield County, Colorado, would exhibit estrogen and androgen receptor activities. Water samples were collected, solid-phase extracted, and measured for estrogen and androgen receptor activities using reporter gene assays in human cell lines. Of the 39 unique water samples, 89%, 41%, 12%, and 46% exhibited estrogenic, antiestrogenic, androgenic, and antiandrogenic activities, respectively. Testing of a subset of natural gas drilling chemicals revealed novel antiestrogenic, novel antiandrogenic, and limited estrogenic activities. The Colorado River, the drainage basin for this region, exhibited moderate levels of estrogenic, antiestrogenic, and antiandrogenic activities, suggesting that higher localized activity at sites with known natural gas–related spills surrounding the river might be contributing to the multiple \nreceptor activities observed in this water source. The majority of water samples collected from sites in a drilling-dense region of Colorado exhibited more estrogenic, antiestrogenic, or antiandrogenic activities than reference sites with limited nearby drilling operations. Our data suggest that natural gas drilling operationsmayresult in elevated endocrine-disrupting chemical activity in surface and ground water.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Endocrinology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Endocrine Press","doi":"10.1210/en.2013-1697","usgsCitation":"Kassotis, C., Tillitt, D.E., Davis, J.W., Hormann, A.M., and Nagel, S., 2014, Estrogen and androgen receptor activities of hydraulic fracturing chemicals and surface and ground water in a drilling-dense region: Endocrinology, v. 155, no. 3, p. 897-907, https://doi.org/10.1210/en.2013-1697.","productDescription":"11 p.","startPage":"897","endPage":"907","ipdsId":"IP-049070","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":473149,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1210/en.2013-1697","text":"Publisher Index Page"},{"id":283996,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1210/en.2013-1697"},{"id":283999,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -109.0603,36.9924 ], [ -109.0603,41.0034 ], [ -102.0409,41.0034 ], [ -102.0409,36.9924 ], [ -109.0603,36.9924 ] ] ] } } ] }","volume":"155","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53517037e4b05569d805a1ed","contributors":{"authors":[{"text":"Kassotis, Christopher D.","contributorId":26967,"corporation":false,"usgs":true,"family":"Kassotis","given":"Christopher D.","affiliations":[],"preferred":false,"id":491532,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tillitt, Donald E. 0000-0002-8278-3955 dtillitt@usgs.gov","orcid":"https://orcid.org/0000-0002-8278-3955","contributorId":1875,"corporation":false,"usgs":true,"family":"Tillitt","given":"Donald","email":"dtillitt@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":491531,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davis, J. Wade hdavis@usgs.gov","contributorId":94585,"corporation":false,"usgs":true,"family":"Davis","given":"J.","email":"hdavis@usgs.gov","middleInitial":"Wade","affiliations":[],"preferred":false,"id":491535,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hormann, Anette M.","contributorId":32077,"corporation":false,"usgs":true,"family":"Hormann","given":"Anette","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":491533,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nagel, Susan C.","contributorId":56147,"corporation":false,"usgs":true,"family":"Nagel","given":"Susan C.","affiliations":[],"preferred":false,"id":491534,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70124549,"text":"70124549 - 2014 - Effects of wetland management on carrying capacity of diving ducks and shorebirds in a coastal estuary","interactions":[],"lastModifiedDate":"2021-04-09T18:02:06.265668","indexId":"70124549","displayToPublicDate":"2014-03-01T08:54:36","publicationYear":"2014","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":"Effects of wetland management on carrying capacity of diving ducks and shorebirds in a coastal estuary","docAbstract":"With global loss of natural wetlands, managed wetlands increasingly support energy requirements for wintering shorebirds and waterfowl. Despite numerous studies of avian bioenergetics in freshwater systems, less is known of the energetic capacity of estuarine systems. In San Francisco Bay, managed saline ponds converted from former commercial salt evaporation ponds form part of the largest wetland restoration project on the Pacific coast of North America. A daily-ration model was applied to assess carrying capacity for diving ducks and shorebirds during four winter seasons (2007–2010) in seasonal and circulation ponds, each in two salinity classes. Diving ducks comprised an estimated 35,450 ± 1,559 (![\"fi01_52.gif\"](\"https://bioone.org/ContentImages/Journals/cowa/37/1/063.037.0108/graphic/WebImages/fi01_52.gif\")
± SE) in average years and 45,458 ± 1,653 in peak years with > 95% in circulation ponds. Shorebirds comprised 64,253 ± 14,838 ( ± SE) in average years and 108,171 ± 4,854 in peak years with > 64% in seasonal ponds. Macroinvertebrate energy density was highest in mesohaline (5–30 ppt) circulation ponds and lowest in seasonal ponds for both guilds. Energy requirements for diving ducks in mesohaline followed by low-hyperhaline (30–80 ppt) circulation ponds were mostly met by available prey energy. Available energy for shorebirds was substantially less than they required in seasonal ponds but exceeded their needs in mesohaline circulation ponds. Mesohaline circulation ponds supported 9,443 ± 1,649 ( ± SE) shorebird use-days·ha-1 of accessible habitat and 2,297 ± 402 diving duck use-days·ha-1 of accessible habitat, twice the capacity of low-hyperhaline circulation ponds and greater than five times that of seasonal ponds for both guilds. Our results indicated that reducing salinity to mesohaline levels and altering water depth to increase accessibility substantially increased energy available for these species in estuarine managed ponds.
","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.037.0108","usgsCitation":"Brand, L.A., Takekawa, J.Y., Shinn, J., Graham, T., Buffington, K., Gustafson, K.B., Smith, L.M., Spring, S.E., and Miles, A.K., 2014, Effects of wetland management on carrying capacity of diving ducks and shorebirds in a coastal estuary: Waterbirds, v. 37, no. 1, p. 52-67, https://doi.org/10.1675/063.037.0108.","productDescription":"16 p.","startPage":"52","endPage":"67","numberOfPages":"16","ipdsId":"IP-051533","costCenters":[{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":293795,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -122.22,37.42 ], [ -122.22,37.62 ], [ -121.93,37.62 ], [ -121.93,37.42 ], [ -122.22,37.42 ] ] ] } } ] }","volume":"37","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54140b1ee4b082fed288b909","contributors":{"authors":[{"text":"Brand, L. Arriana arriana_brand@usgs.gov","contributorId":4406,"corporation":false,"usgs":true,"family":"Brand","given":"L.","email":"arriana_brand@usgs.gov","middleInitial":"Arriana","affiliations":[],"preferred":true,"id":500894,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Takekawa, John Y. 0000-0003-0217-5907 john_takekawa@usgs.gov","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":176168,"corporation":false,"usgs":true,"family":"Takekawa","given":"John","email":"john_takekawa@usgs.gov","middleInitial":"Y.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":500892,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shinn, Joel","contributorId":23078,"corporation":false,"usgs":true,"family":"Shinn","given":"Joel","email":"","affiliations":[],"preferred":false,"id":500897,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Graham, Tanya","contributorId":28175,"corporation":false,"usgs":true,"family":"Graham","given":"Tanya","affiliations":[],"preferred":false,"id":500898,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buffington, Kevin","contributorId":100757,"corporation":false,"usgs":true,"family":"Buffington","given":"Kevin","affiliations":[],"preferred":false,"id":500899,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gustafson, K. Benjamin 0000-0003-3530-0372 kgustafson@usgs.gov","orcid":"https://orcid.org/0000-0003-3530-0372","contributorId":5568,"corporation":false,"usgs":true,"family":"Gustafson","given":"K.","email":"kgustafson@usgs.gov","middleInitial":"Benjamin","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":500896,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smith, Lacy M. 0000-0001-6733-1080 lmsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6733-1080","contributorId":4772,"corporation":false,"usgs":true,"family":"Smith","given":"Lacy","email":"lmsmith@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":500895,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Spring, Sarah E. 0000-0003-1586-4875 sarah_spring@usgs.gov","orcid":"https://orcid.org/0000-0003-1586-4875","contributorId":3371,"corporation":false,"usgs":true,"family":"Spring","given":"Sarah","email":"sarah_spring@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":500893,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Miles, A. Keith 0000-0002-3108-808X keith_miles@usgs.gov","orcid":"https://orcid.org/0000-0002-3108-808X","contributorId":196,"corporation":false,"usgs":true,"family":"Miles","given":"A.","email":"keith_miles@usgs.gov","middleInitial":"Keith","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":500891,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70098977,"text":"70098977 - 2014 - Assessment of floodplain vulnerability during extreme Mississippi River flood 2011","interactions":[],"lastModifiedDate":"2014-03-20T08:56:01","indexId":"70098977","displayToPublicDate":"2014-03-01T08:49:15","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of floodplain vulnerability during extreme Mississippi River flood 2011","docAbstract":"Regional change in the variability and magnitude of flooding could be a major consequence of future global climate change. Extreme floods have the capacity to rapidly transform landscapes and expose landscape vulnerabilities through highly variable spatial patterns of inundation, erosion, and deposition. We use the historic activation of the Birds Point-New Madrid Floodway during the Mississippi and Ohio River Flooding of 2011 as a scientifically unique stress experiment to analyze indicators of floodplain vulnerability. We use pre- and postflood airborne Light Detection and Ranging data sets to locate erosional and depositional hotspots over the 540 km2 agricultural Floodway. While riparian vegetation between the river and the main levee breach likely prevented widespread deposition, localized scour and deposition occurred near the levee breaches. Eroded gullies nearly 1 km in length were observed at a low ridge of a relict meander scar of the Mississippi River. Our flow modeling and spatial mapping analysis attributes this vulnerability to a combination of erodible soils, flow acceleration associated with legacy fluvial landforms, and a lack of woody vegetation to anchor soil and enhance flow resistance. Results from this study could guide future mitigation and adaptation measures in cases of extreme flooding.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Environmental Science and Technology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Chemical Society","doi":"10.1021/es404760t","usgsCitation":"Goodwell, A.E., Zhu, Z., Dutta, D., Greenberg, J.A., Kumar, P., Garcia, M., Rhoads, B.L., Holmes, R.R., Parker, G., Berretta, D.P., and Jacobson, R.B., 2014, Assessment of floodplain vulnerability during extreme Mississippi River flood 2011: Environmental Science & Technology, v. 48, no. 5, p. 2619-2625, https://doi.org/10.1021/es404760t.","productDescription":"7 p.","startPage":"2619","endPage":"2625","ipdsId":"IP-049213","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":284301,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":284281,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1021/es404760t"},{"id":284282,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.acs.org/doi/abs/10.1021/es404760t"}],"state":"Illinois","city":"Cairo","otherGeospatial":"Birds Point New Madrid (bpnm) Floodway","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89.2314,36.973 ], [ -89.2314,37.088 ], [ -89.139,37.088 ], [ -89.139,36.973 ], [ -89.2314,36.973 ] ] ] } } ] }","volume":"48","issue":"5","noUsgsAuthors":false,"publicationDate":"2014-02-17","publicationStatus":"PW","scienceBaseUri":"53517025e4b05569d805a166","contributors":{"authors":[{"text":"Goodwell, Allison E.","contributorId":37639,"corporation":false,"usgs":true,"family":"Goodwell","given":"Allison","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":491819,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhu, Zhenduo","contributorId":83828,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhenduo","affiliations":[],"preferred":false,"id":491825,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dutta, Debsunder","contributorId":76642,"corporation":false,"usgs":true,"family":"Dutta","given":"Debsunder","email":"","affiliations":[],"preferred":false,"id":491823,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Greenberg, Jonathan A.","contributorId":46870,"corporation":false,"usgs":true,"family":"Greenberg","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":491820,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kumar, Praveen","contributorId":81405,"corporation":false,"usgs":true,"family":"Kumar","given":"Praveen","affiliations":[],"preferred":false,"id":491824,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Garcia, Marcelo H.","contributorId":74236,"corporation":false,"usgs":false,"family":"Garcia","given":"Marcelo H.","affiliations":[{"id":33106,"text":"University of Illinois at Urbana Champaign","active":true,"usgs":false}],"preferred":false,"id":491822,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rhoads, Bruce L.","contributorId":20248,"corporation":false,"usgs":true,"family":"Rhoads","given":"Bruce","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":491818,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Holmes, Robert R. Jr. 0000-0002-5060-3999 bholmes@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-3999","contributorId":1624,"corporation":false,"usgs":true,"family":"Holmes","given":"Robert","suffix":"Jr.","email":"bholmes@usgs.gov","middleInitial":"R.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":false,"id":491817,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Parker, Gary","contributorId":104326,"corporation":false,"usgs":true,"family":"Parker","given":"Gary","email":"","affiliations":[],"preferred":false,"id":491826,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Berretta, David P.","contributorId":71875,"corporation":false,"usgs":true,"family":"Berretta","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":491821,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Jacobson, Robert B. 0000-0002-8368-2064 rjacobson@usgs.gov","orcid":"https://orcid.org/0000-0002-8368-2064","contributorId":1289,"corporation":false,"usgs":true,"family":"Jacobson","given":"Robert","email":"rjacobson@usgs.gov","middleInitial":"B.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":491816,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70096756,"text":"70096756 - 2014 - A methodology for adaptable and robust ecosystem services assessment","interactions":[],"lastModifiedDate":"2014-03-14T08:49:02","indexId":"70096756","displayToPublicDate":"2014-03-01T08:46:32","publicationYear":"2014","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":"A methodology for adaptable and robust ecosystem services assessment","docAbstract":"Ecosystem Services (ES) are an established conceptual framework for attributing value to the benefits that nature provides to humans. As the promise of robust ES-driven management is put to the test, shortcomings in our ability to accurately measure, map, and value ES have surfaced. On the research side, mainstream methods for ES assessment still fall short of addressing the complex, multi-scale biophysical and socioeconomic dynamics inherent in ES provision, flow, and use. On the practitioner side, application of methods remains onerous due to data and model parameterization requirements. Further, it is increasingly clear that the dominant “one model fits all” paradigm is often ill-suited to address the diversity of real-world management situations that exist across the broad spectrum of coupled human-natural systems. This article introduces an integrated ES modeling methodology, named ARIES (ARtificial Intelligence for Ecosystem Services), which aims to introduce improvements on these fronts. To improve conceptual detail and representation of ES dynamics, it adopts a uniform conceptualization of ES that gives equal emphasis to their production, flow and use by society, while keeping model complexity low enough to enable rapid and inexpensive assessment in many contexts and for multiple services. To improve fit to diverse application contexts, the methodology is assisted by model integration technologies that allow assembly of customized models from a growing model base. By using computer learning and reasoning, model structure may be specialized for each application context without requiring costly expertise. In this article we discuss the founding principles of ARIES - both its innovative aspects for ES science and as an example of a new strategy to support more accurate decision making in diverse application contexts.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"PLoS ONE","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"PLoS ONE","doi":"10.1371/journal.pone.0091001","usgsCitation":"Villa, F., Bagstad, K.J., Voigt, B., Johnson, G.W., Portela, R., Honzak, M., and Batker, D., 2014, A methodology for adaptable and robust ecosystem services assessment: PLoS ONE, v. 9, no. 3, e91001; 18 p., https://doi.org/10.1371/journal.pone.0091001.","productDescription":"e91001; 18 p.","ipdsId":"IP-051219","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":473151,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0091001","text":"Publisher Index Page"},{"id":283998,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":283997,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1371/journal.pone.0091001"}],"volume":"9","issue":"3","noUsgsAuthors":false,"publicationDate":"2014-03-13","publicationStatus":"PW","scienceBaseUri":"53516ef2e4b05569d8059f23","contributors":{"authors":[{"text":"Villa, Ferdinando","contributorId":84249,"corporation":false,"usgs":true,"family":"Villa","given":"Ferdinando","affiliations":[],"preferred":false,"id":491526,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":491524,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Voigt, Brian","contributorId":102962,"corporation":false,"usgs":true,"family":"Voigt","given":"Brian","affiliations":[],"preferred":false,"id":491530,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Gary W.","contributorId":90618,"corporation":false,"usgs":true,"family":"Johnson","given":"Gary","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":491527,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Portela, Rosimeiry","contributorId":102791,"corporation":false,"usgs":true,"family":"Portela","given":"Rosimeiry","email":"","affiliations":[],"preferred":false,"id":491529,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Honzak, Miroslav","contributorId":97815,"corporation":false,"usgs":true,"family":"Honzak","given":"Miroslav","email":"","affiliations":[],"preferred":false,"id":491528,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Batker, David","contributorId":39288,"corporation":false,"usgs":true,"family":"Batker","given":"David","email":"","affiliations":[],"preferred":false,"id":491525,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70108020,"text":"70108020 - 2014 - Agricultural conversion without external water and nutrient inputs reduces terrestrial vegetation productivity","interactions":[],"lastModifiedDate":"2014-05-22T08:21:12","indexId":"70108020","displayToPublicDate":"2014-03-01T08:19:03","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Agricultural conversion without external water and nutrient inputs reduces terrestrial vegetation productivity","docAbstract":"Driven by global population and standard of living increases, humanity co-opts a growing share of the planet's natural resources resulting in many well-known environmental trade-offs. In this study, we explored the impact of agriculture on a resource fundamental to life on Earth: terrestrial vegetation growth (net primary production; NPP). We demonstrate that agricultural conversion has reduced terrestrial NPP by ~7.0%. Increases in NPP due to agricultural conversion were observed only in areas receiving external inputs (i.e., irrigation and/or fertilization). NPP reductions were found for ~88% of agricultural lands, with the largest reductions observed in areas formerly occupied by tropical forests and savannas (~71% and ~66% reductions, respectively). Without policies that explicitly consider the impact of agricultural conversion on primary production, future demand-driven increases in agricultural output will likely continue to drive net declines in global terrestrial productivity, with potential detrimental consequences for net ecosystem carbon storage and subsequent climate warming.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Geophysical Research Letters","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/2013GL058857","usgsCitation":"Smith, W., Cleveland, C.C., Reed, S.C., and Running, S.W., 2014, Agricultural conversion without external water and nutrient inputs reduces terrestrial vegetation productivity: Geophysical Research Letters, v. 41, no. 2, p. 449-455, https://doi.org/10.1002/2013GL058857.","productDescription":"7 p.","startPage":"449","endPage":"455","numberOfPages":"7","ipdsId":"IP-052195","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":473152,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2013gl058857","text":"Publisher Index Page"},{"id":287528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287522,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/2013GL058857"}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -180.0,-90.0 ], [ -180.0,90.0 ], [ 180.0,90.0 ], [ 180.0,-90.0 ], [ -180.0,-90.0 ] ] ] } } ] }","volume":"41","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-01-16","publicationStatus":"PW","scienceBaseUri":"537f1c60e4b021317a86e2e1","contributors":{"authors":[{"text":"Smith, W. Kolby","contributorId":9933,"corporation":false,"usgs":false,"family":"Smith","given":"W. Kolby","affiliations":[{"id":7089,"text":"University of Montana, Missoula, MT","active":true,"usgs":false}],"preferred":false,"id":493949,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cleveland, Cory C.","contributorId":10264,"corporation":false,"usgs":true,"family":"Cleveland","given":"Cory","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":493950,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":462,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":493948,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Running, Steven W. 0000-0001-6906-3841","orcid":"https://orcid.org/0000-0001-6906-3841","contributorId":53258,"corporation":false,"usgs":false,"family":"Running","given":"Steven","email":"","middleInitial":"W.","affiliations":[{"id":7089,"text":"University of Montana, Missoula, MT","active":true,"usgs":false}],"preferred":false,"id":493951,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70102160,"text":"70102160 - 2014 - Soil-plant-microbial relations in hydrothermally altered soils of Northern California","interactions":[],"lastModifiedDate":"2018-10-11T16:43:24","indexId":"70102160","displayToPublicDate":"2014-03-01T06:41:30","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3420,"text":"Soil Science Society of America Journal","active":true,"publicationSubtype":{"id":10}},"title":"Soil-plant-microbial relations in hydrothermally altered soils of Northern California","docAbstract":"Soils developed on relict hydrothermally altered soils throughout the Western USA present unique opportunities to study the role of geology on above and belowground biotic activity and composition. Soil and vegetation samples were taken at three unaltered andesite and three hydrothermally altered (acid-sulfate) sites located in and around Lassen VolcanicNational Park in northeastern California. In addition, three different types of disturbed areas (clearcut, thinned, and pipeline) were sampled in acid-sulfate altered sites. Soils were sampled (0–15 cm) in mid-summer 2010 from both under-canopy and between-canopy areas within each of the sites. Soils were analyzed for numerous physical and chemical properties along with soil enzyme assays, C and N mineralization potential, microbial biomass-C and C-substrate utilization. Field vegetation measurements consisted of canopy cover by life form (tree, shrub, forb, and grass), tree and shrub density, and above-ground net primary productivity of the understory. Overall, parameters at the clearcut sites were more similar to the unaltered sites, while parameters at the thinned and pipeline sites were more similar to the altered sites. We employed principal components analysis (PCA) to develop two soil quality indices (SQI) to help quantify the differences among the sites: one based on the correlation between soil parameters and canopy cover, and the second based on six sub-indices. Soil quality indices developed in these systems could provide a means for monitoring and identifying key relations between the vegetation, soils, and microorganisms.","language":"English","publisher":"Soil Science Society of America","doi":"10.2136/sssaj2013.07.0298","usgsCitation":"Blecker, S., Stillings, L., DeCrappeo, N., and Ippolito, J., 2014, Soil-plant-microbial relations in hydrothermally altered soils of Northern California: Soil Science Society of America Journal, v. 78, no. 2, p. 509-519, https://doi.org/10.2136/sssaj2013.07.0298.","productDescription":"11 p.","startPage":"509","endPage":"519","ipdsId":"IP-052476","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":473153,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://eprints.nwisrl.ars.usda.gov/id/eprint/1575/1/1531.pdf","text":"External Repository"},{"id":286410,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","volume":"78","issue":"2","noUsgsAuthors":false,"publicationDate":"2014-02-21","publicationStatus":"PW","scienceBaseUri":"53517064e4b05569d805a3c1","contributors":{"authors":[{"text":"Blecker, S.W.","contributorId":99671,"corporation":false,"usgs":true,"family":"Blecker","given":"S.W.","email":"","affiliations":[],"preferred":false,"id":492850,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stillings, L.L.","contributorId":52229,"corporation":false,"usgs":true,"family":"Stillings","given":"L.L.","email":"","affiliations":[],"preferred":false,"id":492847,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeCrappeo, N.M.","contributorId":86269,"corporation":false,"usgs":true,"family":"DeCrappeo","given":"N.M.","affiliations":[],"preferred":false,"id":492849,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ippolito, J.A.","contributorId":54890,"corporation":false,"usgs":true,"family":"Ippolito","given":"J.A.","email":"","affiliations":[],"preferred":false,"id":492848,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70173443,"text":"70173443 - 2014 - Linking bovine tuberculosis on cattle farms to white-tailed deer and environmental variables using Bayesian hierarchical analysis","interactions":[],"lastModifiedDate":"2016-06-22T09:27:36","indexId":"70173443","displayToPublicDate":"2014-03-01T03:45:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Linking bovine tuberculosis on cattle farms to white-tailed deer and environmental variables using Bayesian hierarchical analysis","docAbstract":"Bovine tuberculosis is a bacterial disease caused by Mycobacterium bovis in livestock and wildlife with hosts that include Eurasian badgers (Meles meles), brushtail possum (Trichosurus vulpecula), and white-tailed deer (Odocoileus virginianus). Risk-assessment efforts in Michigan have been initiated on farms to minimize interactions of cattle with wildlife hosts but research onM. bovis on cattle farms has not investigated the spatial context of disease epidemiology. To incorporate spatially explicit data, initial likelihood of infection probabilities for cattle farms tested for M. bovis, prevalence of M. bovis in white-tailed deer, deer density, and environmental variables for each farm were modeled in a Bayesian hierarchical framework. We used geo-referenced locations of 762 cattle farms that have been tested for M. bovis, white-tailed deer prevalence, and several environmental variables that may lead to long-term survival and viability of M. bovis on farms and surrounding habitats (i.e., soil type, habitat type). Bayesian hierarchical analyses identified deer prevalence and proportion of sandy soil within our sampling grid as the most supported model. Analysis of cattle farms tested for M. bovisidentified that for every 1% increase in sandy soil resulted in an increase in odds of infection by 4%. Our analysis revealed that the influence of prevalence of M. bovis in white-tailed deer was still a concern even after considerable efforts to prevent cattle interactions with white-tailed deer through on-farm mitigation and reduction in the deer population. Cattle farms test positive for M. bovis annually in our study area suggesting that the potential for an environmental source either on farms or in the surrounding landscape may contributing to new or re-infections with M. bovis. Our research provides an initial assessment of potential environmental factors that could be incorporated into additional modeling efforts as more knowledge of deer herd factors and cattle farm prevalence is documented.
","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0090925","usgsCitation":"Walter, W.D., Smith, R., Vanderklok, M., and VerCauterren, K.C., 2014, Linking bovine tuberculosis on cattle farms to white-tailed deer and environmental variables using Bayesian hierarchical analysis: PLoS ONE, v. 9, no. 3, e90925; 8 p., https://doi.org/10.1371/journal.pone.0090925.","productDescription":"e90925; 8 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-050890","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":473156,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0090925","text":"Publisher Index Page"},{"id":324010,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","county":"Alcona County, Alpena County, Montmorency County, Oscoda County, Presque Isle County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-83.3205,44.859],[-83.3207,44.853],[-83.319,44.8484],[-83.3007,44.8279],[-83.2999,44.8169],[-83.2993,44.8155],[-83.2934,44.8054],[-83.2963,44.7853],[-83.2931,44.7711],[-83.2949,44.7593],[-83.298,44.7484],[-83.2963,44.7429],[-83.2935,44.7346],[-83.2863,44.7239],[-83.2727,44.7122],[-83.2777,44.7032],[-83.2763,44.6908],[-83.2769,44.6913],[-83.2791,44.6859],[-83.2821,44.6772],[-83.2856,44.6714],[-83.2875,44.6596],[-83.2979,44.6416],[-83.3074,44.6322],[-83.3103,44.6241],[-83.3146,44.6014],[-83.3148,44.5982],[-83.3154,44.5854],[-83.3148,44.584],[-83.312,44.5616],[-83.3075,44.5478],[-83.3122,44.5292],[-83.3182,44.512],[-83.4028,44.5113],[-83.5258,44.5109],[-83.5316,44.511],[-83.647,44.5099],[-83.7655,44.5101],[-83.8047,44.509],[-83.8861,44.507],[-84.0098,44.5071],[-84.1309,44.5061],[-84.1808,44.5061],[-84.2507,44.5059],[-84.373,44.5075],[-84.3734,44.596],[-84.373,44.6698],[-84.3729,44.856],[-84.3698,45.1985],[-84.2507,45.1984],[-84.2486,45.2811],[-84.2544,45.2812],[-84.2493,45.4543],[-84.2491,45.5375],[-84.2508,45.6413],[-84.2462,45.6404],[-84.2184,45.6367],[-84.2107,45.632],[-84.2056,45.6278],[-84.2025,45.6254],[-84.1993,45.624],[-84.1873,45.6133],[-84.1683,45.5956],[-84.1594,45.5913],[-84.1378,45.5745],[-84.1354,45.5712],[-84.1322,45.5675],[-84.131,45.5657],[-84.1285,45.5629],[-84.1255,45.5555],[-84.1256,45.5349],[-84.1227,45.523],[-84.1185,45.5147],[-84.1142,45.5087],[-84.1091,45.504],[-84.1028,45.4998],[-84.0932,45.495],[-84.0835,45.4917],[-84.068,45.4886],[-84.0616,45.4885],[-84.055,45.4902],[-84.0459,45.4905],[-84.0426,45.4918],[-84.0393,45.4936],[-84.0378,45.4972],[-84.0359,45.4977],[-84.0301,45.4966],[-84.0282,45.4952],[-84.0075,45.4921],[-83.9932,45.49],[-83.9703,45.4946],[-83.9619,45.4926],[-83.9541,45.4929],[-83.9398,45.4927],[-83.9263,45.4888],[-83.9192,45.4882],[-83.9141,45.4862],[-83.9057,45.4838],[-83.8874,45.4702],[-83.8849,45.4683],[-83.8786,45.4627],[-83.8703,45.4589],[-83.8646,45.4542],[-83.8628,45.4514],[-83.8597,45.4486],[-83.8552,45.4458],[-83.8495,45.4416],[-83.8458,45.4374],[-83.842,45.4355],[-83.8304,45.4334],[-83.828,45.4288],[-83.8248,45.4269],[-83.8171,45.4244],[-83.8139,45.4235],[-83.8076,45.4179],[-83.7986,45.4168],[-83.7894,45.4175],[-83.7816,45.4183],[-83.7764,45.4195],[-83.7744,45.419],[-83.7732,45.4176],[-83.7746,45.4163],[-83.7824,45.4146],[-83.7858,45.4124],[-83.789,45.4111],[-83.7897,45.4102],[-83.7704,45.4071],[-83.7651,45.4092],[-83.7585,45.4114],[-83.7553,45.4113],[-83.7458,45.4052],[-83.7426,45.4047],[-83.7406,45.4046],[-83.7393,45.4055],[-83.7403,45.4115],[-83.7396,45.4124],[-83.7299,45.4131],[-83.7207,45.4143],[-83.7143,45.4128],[-83.7131,45.4118],[-83.7081,45.4062],[-83.7025,45.3993],[-83.6892,45.3921],[-83.6847,45.3902],[-83.6752,45.385],[-83.6636,45.3829],[-83.6548,45.3772],[-83.6497,45.3749],[-83.6414,45.3706],[-83.6268,45.3638],[-83.6177,45.3641],[-83.6125,45.364],[-83.6067,45.3625],[-83.6036,45.3597],[-83.6,45.3532],[-83.5981,45.3518],[-83.5962,45.3513],[-83.5942,45.3517],[-83.5935,45.3531],[-83.5922,45.3535],[-83.5865,45.3497],[-83.5852,45.3497],[-83.585,45.3543],[-83.5837,45.3552],[-83.5824,45.3551],[-83.5818,45.3542],[-83.5787,45.3509],[-83.5749,45.3486],[-83.5717,45.348],[-83.5664,45.3511],[-83.5586,45.35],[-83.5508,45.3508],[-83.5472,45.3576],[-83.544,45.3589],[-83.5394,45.3592],[-83.5362,45.3587],[-83.5261,45.3516],[-83.5203,45.3497],[-83.5012,45.3424],[-83.4961,45.3404],[-83.4941,45.3413],[-83.4934,45.3431],[-83.4932,45.3463],[-83.498,45.3569],[-83.4958,45.3605],[-83.4932,45.3609],[-83.4913,45.36],[-83.4883,45.3553],[-83.484,45.3502],[-83.4796,45.3478],[-83.4777,45.3455],[-83.4785,45.3419],[-83.4864,45.3398],[-83.4884,45.3389],[-83.4885,45.3366],[-83.4849,45.3301],[-83.4824,45.3273],[-83.4779,45.3272],[-83.477,45.3322],[-83.4757,45.3327],[-83.4724,45.333],[-83.466,45.3315],[-83.4641,45.3301],[-83.4652,45.3214],[-83.4646,45.3205],[-83.4633,45.3196],[-83.4614,45.3191],[-83.4595,45.3186],[-83.4536,45.3198],[-83.4516,45.3193],[-83.4476,45.3083],[-83.4445,45.3064],[-83.4406,45.3054],[-83.4349,45.302],[-83.4261,45.2973],[-83.4257,45.2922],[-83.4231,45.2903],[-83.4077,45.2872],[-83.4003,45.2793],[-83.3989,45.2816],[-83.3963,45.2815],[-83.3875,45.2758],[-83.3832,45.2711],[-83.3841,45.2666],[-83.39,45.264],[-83.3884,45.2571],[-83.3937,45.2536],[-83.3989,45.2541],[-83.4118,45.2549],[-83.4137,45.2563],[-83.4122,45.2604],[-83.4135,45.2613],[-83.4166,45.2628],[-83.4199,45.2628],[-83.4212,45.2629],[-83.4218,45.2624],[-83.4161,45.2596],[-83.4155,45.2586],[-83.4169,45.2573],[-83.4189,45.2555],[-83.4203,45.2542],[-83.4197,45.2528],[-83.4184,45.2523],[-83.4101,45.2503],[-83.4095,45.2489],[-83.4102,45.2471],[-83.4136,45.2444],[-83.4143,45.2426],[-83.4053,45.2273],[-83.3978,45.2226],[-83.3973,45.2175],[-83.39,45.2087],[-83.3875,45.2059],[-83.3762,45.1997],[-83.3714,45.1913],[-83.37,45.1781],[-83.3658,45.1716],[-83.3609,45.166],[-83.3591,45.1636],[-83.3527,45.1621],[-83.3495,45.1607],[-83.3385,45.1476],[-83.3367,45.1439],[-83.3354,45.1439],[-83.3301,45.146],[-83.3186,45.143],[-83.318,45.1421],[-83.3208,45.1385],[-83.3235,45.1358],[-83.323,45.1335],[-83.3218,45.1312],[-83.3168,45.1274],[-83.3169,45.1252],[-83.3203,45.1225],[-83.3217,45.1194],[-83.3168,45.1142],[-83.3149,45.1132],[-83.313,45.1123],[-83.3093,45.1085],[-83.31,45.1076],[-83.3133,45.1063],[-83.314,45.1045],[-83.3128,45.1027],[-83.3028,45.0956],[-83.3016,45.0937],[-83.3069,45.0902],[-83.3186,45.09],[-83.3278,45.0861],[-83.3273,45.0829],[-83.3234,45.0833],[-83.3187,45.0864],[-83.3155,45.0863],[-83.3151,45.0822],[-83.3197,45.0805],[-83.3192,45.0768],[-83.313,45.0721],[-83.3136,45.0593],[-83.3138,45.0547],[-83.3005,45.0489],[-83.2825,45.0467],[-83.2768,45.0443],[-83.2718,45.04],[-83.2689,45.0331],[-83.2666,45.0285],[-83.2634,45.0275],[-83.2628,45.0261],[-83.2635,45.0248],[-83.2648,45.0243],[-83.2925,45.0273],[-83.3058,45.0331],[-83.3089,45.0345],[-83.3223,45.0385],[-83.3352,45.0397],[-83.3472,45.0441],[-83.3521,45.0506],[-83.361,45.0527],[-83.3658,45.0601],[-83.3676,45.0638],[-83.3643,45.066],[-83.3673,45.0697],[-83.3677,45.0756],[-83.3793,45.0764],[-83.389,45.0761],[-83.3938,45.0708],[-83.3996,45.0704],[-83.4087,45.0693],[-83.4172,45.0667],[-83.4211,45.0668],[-83.4271,45.0633],[-83.4318,45.0579],[-83.439,45.0563],[-83.45,45.0419],[-83.4507,45.0415],[-83.455,45.0324],[-83.45,45.0282],[-83.4558,45.0274],[-83.4561,45.0206],[-83.4543,45.0178],[-83.4479,45.0181],[-83.4427,45.0175],[-83.4314,45.0118],[-83.4296,45.009],[-83.4355,45.0055],[-83.4387,45.0069],[-83.442,45.0052],[-83.4452,45.0062],[-83.445,45.0094],[-83.4533,45.0114],[-83.4579,45.0106],[-83.4606,45.0088],[-83.4639,45.0057],[-83.464,45.0034],[-83.4602,45.0015],[-83.4625,44.9938],[-83.4498,44.9889],[-83.4468,44.9852],[-83.4435,44.9577],[-83.4408,44.9467],[-83.4365,44.9407],[-83.4237,44.9262],[-83.4103,44.9213],[-83.4065,44.9212],[-83.3979,44.9115],[-83.3969,44.905],[-83.3784,44.901],[-83.3684,44.8934],[-83.3559,44.8872],[-83.338,44.8836],[-83.3328,44.8834],[-83.3271,44.8815],[-83.3233,44.8809],[-83.3188,44.8813],[-83.3175,44.8813],[-83.3162,44.8808],[-83.3205,44.859]]],[[[-83.193,45.0404],[-83.1969,45.04],[-83.2001,45.0401],[-83.2027,45.0397],[-83.2046,45.0416],[-83.2076,45.0453],[-83.2082,45.0476],[-83.21,45.0499],[-83.2112,45.0509],[-83.2117,45.0546],[-83.2091,45.0554],[-83.2072,45.0549],[-83.2053,45.0544],[-83.2015,45.0525],[-83.2016,45.0507],[-83.1984,45.0501],[-83.1977,45.0497],[-83.194,45.0468],[-83.1928,45.0454],[-83.1909,45.0445],[-83.1909,45.0431],[-83.193,45.0404]]],[[[-83.2959,45.0634],[-83.2979,45.063],[-83.3024,45.0636],[-83.3049,45.065],[-83.3067,45.0665],[-83.3054,45.0682],[-83.304,45.0709],[-83.3026,45.0732],[-83.2991,45.0777],[-83.2959,45.0776],[-83.294,45.0767],[-83.2908,45.0766],[-83.2895,45.0756],[-83.2889,45.0747],[-83.2903,45.072],[-83.2924,45.0693],[-83.2918,45.0679],[-83.2932,45.0657],[-83.2959,45.0634]]],[[[-83.3332,45.1914],[-83.3358,45.191],[-83.3397,45.1911],[-83.3416,45.1925],[-83.344,45.1948],[-83.3439,45.1976],[-83.3412,45.1993],[-83.3386,45.2006],[-83.336,45.1996],[-83.3341,45.1992],[-83.3322,45.1977],[-83.331,45.1954],[-83.3318,45.1931],[-83.3332,45.1914]]],[[[-83.2187,45.0442],[-83.22,45.0424],[-83.2226,45.0425],[-83.2246,45.0425],[-83.2259,45.0421],[-83.2284,45.0435],[-83.229,45.0454],[-83.2289,45.0468],[-83.2235,45.0503],[-83.2205,45.0466],[-83.2199,45.0461],[-83.2186,45.0456],[-83.2187,45.0442]]],[[[-83.3203,44.89],[-83.3223,44.8891],[-83.3242,44.8892],[-83.3261,44.8888],[-83.328,44.8902],[-83.3298,44.893],[-83.3284,44.8952],[-83.3271,44.8956],[-83.3233,44.8946],[-83.3214,44.8941],[-83.3208,44.8928],[-83.3203,44.89]]],[[[-83.4208,45.017],[-83.4234,45.0157],[-83.4241,45.0157],[-83.426,45.0162],[-83.4272,45.0181],[-83.4264,45.0208],[-83.4258,45.0217],[-83.4238,45.0217],[-83.4206,45.0216],[-83.42,45.0202],[-83.4208,45.018],[-83.4208,45.017]]],[[[-83.229,45.0586],[-83.2323,45.0569],[-83.2342,45.0574],[-83.2355,45.0574],[-83.2367,45.0593],[-83.2359,45.0611],[-83.2346,45.062],[-83.2294,45.0628],[-83.2295,45.0605],[-83.229,45.0586]]],[[[-83.4124,44.9894],[-83.4131,44.9876],[-83.4221,44.9883],[-83.4188,44.991],[-83.4155,44.9913],[-83.4124,44.9894]]]]},\"properties\":{\"name\":\"Alcona\",\"state\":\"MI\"}}]}","volume":"9","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2014-03-03","publicationStatus":"PW","scienceBaseUri":"576913d4e4b07657d19ff154","contributors":{"authors":[{"text":"Walter, W. David 0000-0003-3068-1073 wwalter@usgs.gov","orcid":"https://orcid.org/0000-0003-3068-1073","contributorId":5083,"corporation":false,"usgs":true,"family":"Walter","given":"W.","email":"wwalter@usgs.gov","middleInitial":"David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637137,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Rick","contributorId":172191,"corporation":false,"usgs":false,"family":"Smith","given":"Rick","email":"","affiliations":[],"preferred":false,"id":639851,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vanderklok, Mike","contributorId":172192,"corporation":false,"usgs":false,"family":"Vanderklok","given":"Mike","email":"","affiliations":[],"preferred":false,"id":639852,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"VerCauterren, Kurt C.","contributorId":113875,"corporation":false,"usgs":true,"family":"VerCauterren","given":"Kurt","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":639853,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70176216,"text":"70176216 - 2014 - Geologic assessment of undiscovered oil and gas resources in Aptian carbonates, onshore northern Gulf of Mexico Basin, United States","interactions":[],"lastModifiedDate":"2016-09-01T15:40:50","indexId":"70176216","displayToPublicDate":"2014-03-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1344,"text":"Cretaceous Research","active":true,"publicationSubtype":{"id":10}},"title":"Geologic assessment of undiscovered oil and gas resources in Aptian carbonates, onshore northern Gulf of Mexico Basin, United States","docAbstract":"Carbonate lithofacies of the Lower Cretaceous Sligo Formation and James Limestone were regionally evaluated using established U.S. Geological Survey (USGS) assessment methodology for undiscovered conventional hydrocarbon resources. The assessed area is within the Upper Jurassic–Cretaceous–Tertiary Composite total petroleum system, which was defined for the assessment. Hydrocarbons reservoired in carbonate platform Sligo-James oil and gas accumulations are interpreted to originate primarily from the Jurassic Smackover Formation. Emplacement of hydrocarbons occurred via vertical migration along fault systems; long-range lateral migration also may have occurred in some locations. Primary reservoir facies include porous patch reefs developed over paleostructural salt highs, carbonate shoals, and stacked linear reefs at the carbonate shelf margin. Hydrocarbon traps dominantly are combination structural-stratigraphic. Sealing lithologies include micrite, calcareous shale, and argillaceous lime mudstone. A geologic model, supported by discovery history analysis of petroleum geology data, was used to define a single regional assessment unit (AU) for conventional reservoirs in carbonate facies of the Sligo Formation and James Limestone. The AU is formally entitled Sligo-James Carbonate Platform Oil and Gas (50490121). A fully risked mean undiscovered technically recoverable resource in the AU of 50 million barrels of oil (MMBO), 791 billion cubic feet of natural gas (BCFG), and 26 million barrels of natural gas liquids was estimated. Substantial new development through horizontal drilling has occurred since the time of this assessment (2010), resulting in cumulative production of >200 BCFG and >1 MMBO.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.cretres.2013.12.005","usgsCitation":"Hackley, P.C., and Karlsen, A.W., 2014, Geologic assessment of undiscovered oil and gas resources in Aptian carbonates, onshore northern Gulf of Mexico Basin, United States: Cretaceous Research, v. 48, p. 225-234, https://doi.org/10.1016/j.cretres.2013.12.005.","productDescription":"10 p.","startPage":"225","endPage":"234","ipdsId":"IP-051557","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":328195,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -100,\n 26\n ],\n [\n -100,\n 34\n ],\n [\n -88,\n 34\n ],\n [\n -88,\n 26\n ],\n [\n -100,\n 26\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"48","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57c9512de4b0f2f0cec15be9","contributors":{"authors":[{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":647833,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karlsen, Alexander W.","contributorId":105382,"corporation":false,"usgs":true,"family":"Karlsen","given":"Alexander","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":647834,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70182175,"text":"70182175 - 2014 - CO2 and CH4 emissions from streams in a lake-rich landscape: Patterns, controls, and regional significance","interactions":[],"lastModifiedDate":"2018-04-02T16:36:33","indexId":"70182175","displayToPublicDate":"2014-03-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"CO2 and CH4 emissions from streams in a lake-rich landscape: Patterns, controls, and regional significance","docAbstract":"Aquatic ecosystems are important components of landscape carbon budgets. In lake-rich landscapes, both lakes and streams may be important sources of carbon gases (CO2 and CH4) to the atmosphere, but the processes that control gas concentrations and emissions in these interconnected landscapes have not been adequately addressed. We use multiple data sets that vary in their spatial and temporal extent during 2001–2012 to investigate the carbon gas source strength of streams in a lake-rich landscape and to determine the contribution of lakes, metabolism, and groundwater to stream CO2 and CH4. We show that streams emit roughly the same mass of CO2 (23.4 Gg C yr−1; 0.49 mol CO2 m−2 d−1) as lakes at a regional scale (27 Gg C yr−1) and that stream CH4 emissions (189 Mg C yr−1; 8.46 mmol CH4 m−2 d−1) are an important component of the regional greenhouse gas balance. Gas transfer velocity variability (range = 0.34 to 13.5 m d−1) contributed to the variability of gas flux in this landscape. Groundwater inputs and in-stream metabolism control stream gas supersaturation at the landscape scale, while carbon cycling in lakes and deep groundwaters does not control downstream gas emissions. Our results indicate the need to consider connectivity of all aquatic ecosystems (lakes, streams, wetlands, and groundwater) in lake-rich landscapes and their connections with the terrestrial environment in order to understand the full nature of the carbon cycle.
","language":"English","publisher":"AGU Publications","doi":"10.1002/2013GB004661","usgsCitation":"Crawford, J.T., Lottig, N.R., Stanley, E.H., Walker, J.F., Hanson, P.C., Finlay, J.C., and Striegl, R.G., 2014, CO2 and CH4 emissions from streams in a lake-rich landscape: Patterns, controls, and regional significance: Global Biogeochemical Cycles, v. 28, no. 3, p. 197-210, https://doi.org/10.1002/2013GB004661.","productDescription":"14 p.","startPage":"197","endPage":"210","ipdsId":"IP-046128","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":335834,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2014-03-10","publicationStatus":"PW","scienceBaseUri":"58ac0e31e4b0ce4410e7d604","contributors":{"authors":[{"text":"Crawford, John T. 0000-0003-4440-6945 jtcrawford@usgs.gov","orcid":"https://orcid.org/0000-0003-4440-6945","contributorId":4081,"corporation":false,"usgs":true,"family":"Crawford","given":"John","email":"jtcrawford@usgs.gov","middleInitial":"T.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":669881,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lottig, Noah R.","contributorId":172031,"corporation":false,"usgs":false,"family":"Lottig","given":"Noah","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":669885,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stanley, Emily H.","contributorId":55725,"corporation":false,"usgs":false,"family":"Stanley","given":"Emily","email":"","middleInitial":"H.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":669883,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walker, John F. jfwalker@usgs.gov","contributorId":1081,"corporation":false,"usgs":true,"family":"Walker","given":"John","email":"jfwalker@usgs.gov","middleInitial":"F.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":669880,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hanson, Paul C.","contributorId":35634,"corporation":false,"usgs":false,"family":"Hanson","given":"Paul","email":"","middleInitial":"C.","affiliations":[{"id":12951,"text":"Center for Limnology, University of Wisconsin Madison","active":true,"usgs":false}],"preferred":false,"id":669926,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Finlay, Jacques C.","contributorId":19695,"corporation":false,"usgs":true,"family":"Finlay","given":"Jacques","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":669884,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":669882,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70194142,"text":"70194142 - 2014 - Mercury dynamics in a coastal aquifer: Maunalua Bay, Oʻahu, Hawaiʻi","interactions":[],"lastModifiedDate":"2018-03-29T15:08:25","indexId":"70194142","displayToPublicDate":"2014-03-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1587,"text":"Estuarine, Coastal and Shelf Science","active":true,"publicationSubtype":{"id":10}},"title":"Mercury dynamics in a coastal aquifer: Maunalua Bay, Oʻahu, Hawaiʻi","docAbstract":"We evaluated the influence of groundwater–seawater interaction on mercury dynamics in Maunalua Bay, a coral reef ecosystem located on the south shore of Oʻahu, Hawaiʻi, by combining geochemical data with submarine groundwater discharge (SGD) rates. During a rising tide, unfiltered total mercury (U-HgT) concentrations in seawater increased from ∼6 to 20 pM at Black Point (west Bay) and from ∼2.5 to 8 pM at Niu (central Bay). We attribute this change to an increase in suspended particulate matter at high tide. Approximately 90% of mercury in groundwater at Niu was in the filtered (<0.45 μm) fraction, with a concentration of ∼4 pM. Groundwater discharge during a period of amplified SGD at Niu appeared to contribute to an increase in total mercury concentrations in filtered seawater (F-HgT; 1.2 to 2.4 pM) and in unfiltered seawater (U-HgT; 2.5 to 3.2 pM). The larger magnitude of change in F-HgT relative to U-HgT suggests mercury complexation and/or solubility dynamics in seawater were altered by the addition of groundwater. We used site specific 222Rn derived SGD flux estimates and groundwater F-HgT concentrations to calculate mercury loadings at Black Point (∼3 nmol m−2 d−1) and at Niu (∼1 nmol m−2 d−1). We calculated a weighted average Maunalua Bay groundwater mercury flux of 0.68 ± 0.67 mol yr−1 by combining the proportional flux of F-HgT from three distinct SGD zones, and place these results into a broader context by comparing and contrasting flux estimates from locations around the world. Results from existing SGD studies should be evaluated to develop future sampling strategies that address more targeted questions about mercury biogeochemical cycling at the groundwater–seawater interface.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecss.2014.01.012","usgsCitation":"Ganguli, P.M., Swarzenski, P.W., Dulaiova, H., Glenn, C.R., and Flegal, A.R., 2014, Mercury dynamics in a coastal aquifer: Maunalua Bay, Oʻahu, Hawaiʻi: Estuarine, Coastal and Shelf Science, v. 140, p. 52-65, https://doi.org/10.1016/j.ecss.2014.01.012.","productDescription":"14 p.","startPage":"52","endPage":"65","ipdsId":"IP-051822","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":352960,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Maunalua Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -158.36517333984375,\n 21.160080508753136\n ],\n [\n -157.57278442382812,\n 21.160080508753136\n ],\n [\n -157.57278442382812,\n 21.783731071583155\n ],\n [\n -158.36517333984375,\n 21.783731071583155\n ],\n [\n -158.36517333984375,\n 21.160080508753136\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"140","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeedebe4b0da30c1bfc73a","contributors":{"authors":[{"text":"Ganguli, Priya M.","contributorId":147439,"corporation":false,"usgs":false,"family":"Ganguli","given":"Priya","email":"","middleInitial":"M.","affiliations":[{"id":6948,"text":"UC Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":722337,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":722336,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dulaiova, Henrieta","contributorId":184206,"corporation":false,"usgs":false,"family":"Dulaiova","given":"Henrieta","email":"","affiliations":[],"preferred":false,"id":722338,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glenn, Craig R.","contributorId":200438,"corporation":false,"usgs":false,"family":"Glenn","given":"Craig","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":722339,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flegal, A. Russell","contributorId":200439,"corporation":false,"usgs":false,"family":"Flegal","given":"A.","email":"","middleInitial":"Russell","affiliations":[],"preferred":false,"id":722340,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70188364,"text":"70188364 - 2014 - The profound reach of the 11 April 2012 M 8.6 Indian Ocean earthquake: Short‐term global triggering followed by a longer‐term global shadow","interactions":[],"lastModifiedDate":"2017-06-07T11:46:41","indexId":"70188364","displayToPublicDate":"2014-03-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"The profound reach of the 11 April 2012 M 8.6 Indian Ocean earthquake: Short‐term global triggering followed by a longer‐term global shadow","docAbstract":"The 11 April 2012 M 8.6 Indian Ocean earthquake was an unusually large intraoceanic strike‐slip event. For several days, the global M≥4.5 and M≥6.5 seismicity rate at remote distances (i.e., thousands of kilometers from the mainshock) was elevated. The strike‐slip mainshock appears through its Love waves to have triggered a global burst of strike‐slip aftershocks over several days. But the M≥6.5 rate subsequently dropped to zero for the succeeding 95 days, although the M≤6.0 global rate was close to background during this period. Such an extended period without an M≥6.5 event has happened rarely over the past century, and never after a large mainshock. Quiescent periods following previous large (M≥8) mainshocks over the past century are either much shorter or begin so long after a given mainshock that no physical interpretation is warranted. The 2012 mainshock is unique in terms of both the short‐lived global increase and subsequent long quiescent period. We believe that the two components are linked and interpret this pattern as the product of dynamic stressing of a global system of faults. Transient dynamic stresses can encourage short‐term triggering, but, paradoxically, it can also inhibit rupture temporarily until background tectonic loading restores the system to its premainshock stress levels.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120130078","usgsCitation":"Pollitz, F., Burgmann, R., Stein, R.S., and Sevilgen, V., 2014, The profound reach of the 11 April 2012 M 8.6 Indian Ocean earthquake: Short‐term global triggering followed by a longer‐term global shadow: Bulletin of the Seismological Society of America, v. 104, no. 2, p. 972-984, https://doi.org/10.1785/0120130078.","productDescription":"13 p.","startPage":"972","endPage":"984","ipdsId":"IP-044296","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":342227,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"104","issue":"2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2014-03-11","publicationStatus":"PW","scienceBaseUri":"593910b4e4b0764e6c5e88dc","contributors":{"authors":[{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":697406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burgmann, Roland","contributorId":192700,"corporation":false,"usgs":false,"family":"Burgmann","given":"Roland","affiliations":[],"preferred":false,"id":697409,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stein, Ross S. 0000-0001-7586-3933 rstein@usgs.gov","orcid":"https://orcid.org/0000-0001-7586-3933","contributorId":2604,"corporation":false,"usgs":true,"family":"Stein","given":"Ross","email":"rstein@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":697407,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sevilgen, Volkan vsevilgen@usgs.gov","contributorId":3254,"corporation":false,"usgs":true,"family":"Sevilgen","given":"Volkan","email":"vsevilgen@usgs.gov","affiliations":[],"preferred":true,"id":697408,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70187418,"text":"70187418 - 2014 - Productivity and linkages of the food web of the southern region of the western Antarctic Peninsula continental shelf","interactions":[],"lastModifiedDate":"2017-05-02T13:18:55","indexId":"70187418","displayToPublicDate":"2014-03-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3194,"text":"Progress in Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Productivity and linkages of the food web of the southern region of the western Antarctic Peninsula continental shelf","docAbstract":"The productivity and linkages in the food web of the southern region of the west Antarctic Peninsula continental shelf were investigated using a multi-trophic level mass balance model. Data collected during the Southern Ocean Global Ocean Ecosystem Dynamics field program were combined with data from the literature on the abundance and diet composition of zooplankton, fish, seabirds and marine mammals to calculate energy flows in the food web and to infer the overall food web structure at the annual level. Sensitivity analyses investigated the effects of variability in growth and biomass of Antarctic krill (Euphausia superba) and in the biomass of Antarctic krill predators on the structure and energy fluxes in the food web. Scenario simulations provided insights into the potential responses of the food web to a reduced contribution of large phytoplankton (diatom) production to total primary production, and to reduced consumption of primary production by Antarctic krill and mesozooplankton coincident with increased consumption by microzooplankton and salps. Model-derived estimates of primary production were 187–207 g C m−2 y−1, which are consistent with observed values (47–351 g C m−2 y−1). Simulations showed that Antarctic krill provide the majority of energy needed to sustain seabird and marine mammal production, thereby exerting a bottom-up control on higher trophic level predators. Energy transfer to top predators via mesozooplanton was a less efficient pathway, and salps were a production loss pathway because little of the primary production they consumed was passed to higher trophic levels. Increased predominance of small phytoplankton (nanoflagellates and cryptophytes) reduced the production of Antarctic krill and of its predators, including seabirds and seals.
Knickpoints in fluvial channel longitudinal profiles and channel steepness index values derived from digital elevation data can be used to detect tectonic structures and infer spatial patterns of uplift. However, changes in lithologic resistance to channel incision can also influence the morphology of longitudinal profiles. We compare the spatial patterns of both channel steepness index and cosmogenic 10Be-determined erosion rates from four landscapes in Italy, where the geology and tectonics are well constrained, to four theoretical predictions of channel morphologies, which can be interpreted as the result of primarily tectonic or lithologic controls. These data indicate that longitudinal profile forms controlled by unsteady or nonuniform tectonics can be distinguished from those controlled by nonuniform lithologic resistance. In each landscape the distribution of channel steepness index and erosion rates is consistent with model predictions and demonstrates that cosmogenic nuclide methods can be applied to distinguish between these two controlling factors.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2013.12.010","usgsCitation":"Cyr, A.J., Granger, D., Olivetti, V., and Molin, P., 2014, Distinguishing between tectonic and lithologic controls on bedrock channel longitudinal profiles using cosmogenic 10Be erosion rates and channel steepness index: Geomorphology, v. 209, p. 27-38, https://doi.org/10.1016/j.geomorph.2013.12.010.","productDescription":"12 p.","startPage":"27","endPage":"38","ipdsId":"IP-025041","costCenters":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":345413,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"209","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59aa71dae4b0e9bde130cff0","contributors":{"authors":[{"text":"Cyr, Andrew J. 0000-0003-2293-5395 acyr@usgs.gov","orcid":"https://orcid.org/0000-0003-2293-5395","contributorId":3539,"corporation":false,"usgs":true,"family":"Cyr","given":"Andrew","email":"acyr@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":709329,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Granger, Darryl E.","contributorId":40137,"corporation":false,"usgs":true,"family":"Granger","given":"Darryl E.","affiliations":[],"preferred":false,"id":709330,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Olivetti, Valerio","contributorId":191611,"corporation":false,"usgs":false,"family":"Olivetti","given":"Valerio","email":"","affiliations":[],"preferred":false,"id":709332,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Molin, Paola","contributorId":196097,"corporation":false,"usgs":false,"family":"Molin","given":"Paola","email":"","affiliations":[],"preferred":false,"id":709331,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70189231,"text":"70189231 - 2014 - Wildland fire ash: Production, composition and eco-hydro-geomorphic effects","interactions":[],"lastModifiedDate":"2017-07-06T11:37:27","indexId":"70189231","displayToPublicDate":"2014-03-01T00:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1431,"text":"Earth-Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Wildland fire ash: Production, composition and eco-hydro-geomorphic effects","docAbstract":"Fire transforms fuels (i.e. biomass, necromass, soil organic matter) into materials with different chemical and physical properties. One of these materials is ash, which is the particulate residue remaining or deposited on the ground that consists of mineral materials and charred organic components. The quantity and characteristics of ash produced during a wildland fire depend mainly on (1) the total burned fuel (i.e. fuel load), (2) fuel type and (3) its combustion completeness. For a given fuel load and type, a higher combustion completeness will reduce the ash organic carbon content, increasing the relative mineral content, and hence reducing total mass of ash produced. The homogeneity and thickness of the ash layer can vary substantially in space and time and reported average thicknesses range from close to 0 to 50 mm. Ash is a highly mobile material that, after its deposition, may be incorporated into the soil profile, redistributed or removed from a burned site within days or weeks by wind and water erosion to surface depressions, footslopes, streams, lakes, reservoirs and, potentially, into marine deposits.
Research on the composition, properties and effects of ash on the burned ecosystem has been conducted on material collected in the field after wildland and prescribed fires as well as on material produced in the laboratory. At low combustion completeness (typically T < 450 °C), ash is organic-rich, with organic carbon as the main component. At high combustion completeness (T > 450 °C), most organic carbon is volatized and the remaining mineral ash has elevated pH when in solution. It is composed mainly of calcium, magnesium, sodium, potassium, silicon and phosphorous in the form of inorganic carbonates, whereas at T > 580 °C the most common forms are oxides. Ash produced under lower combustion completeness is usually darker, coarser, and less dense and has a higher saturated hydraulic conductivity than ash with higher combustion completeness, although physical reactions with CO2 and when moistened produce further changes in ash characteristics.
As a new material present after a wildland fire, ash can have profound effects on ecosystems. It affects biogeochemical cycles, including the C cycle, not only within the burned area, but also globally. Ash incorporated into the soil increases temporarily soil pH and nutrient pools and changes physical properties such as albedo, soil texture and hydraulic properties including water repellency. Ash modifies soil hydrologic behavior by creating a two-layer system: the soil and the ash layer, which can function in different ways depending on (1) ash depth and type, (2) soil type and (3) rainfall characteristics. Key parameters are the ash's water holding capacity, hydraulic conductivity and its potential to clog soil pores. Runoff from burned areas carries soluble nutrients contained in ash, which can lead to problems for potable water supplies. Ash deposition also stimulates soil microbial activity and vegetation growth.
Further work is needed to (1) standardize methods for investigating ash and its effects on the ecosystem, (2) characterize ash properties for specific ecosystems and wildland fire types, (3) determine the effects of ash on human and ecosystem health, especially when transported by wind or water, (4) investigate ash's controls on water and soil losses at slope and catchment scales, (5) examine its role in the C cycle, and (6) study its redistribution and fate in the environment.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.earscirev.2013.12.007","usgsCitation":"Bodi, M.B., Martin, D.A., Balfour, V.N., Santin, C., Doerr, S.H., Pereira, P., Cerda, A., and Mataix-Solera, J., 2014, Wildland fire ash: Production, composition and eco-hydro-geomorphic effects: Earth-Science Reviews, v. 130, p. 103-127, https://doi.org/10.1016/j.earscirev.2013.12.007.","productDescription":"25 p.","startPage":"103","endPage":"127","ipdsId":"IP-053418","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343399,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"130","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"595f4c42e4b0d1f9f057e360","contributors":{"authors":[{"text":"Bodi, Merche B.","contributorId":194266,"corporation":false,"usgs":false,"family":"Bodi","given":"Merche","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":703627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":703626,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Balfour, Victoria N.","contributorId":194267,"corporation":false,"usgs":false,"family":"Balfour","given":"Victoria","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":703628,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Santin, Cristina","contributorId":194268,"corporation":false,"usgs":false,"family":"Santin","given":"Cristina","email":"","affiliations":[],"preferred":false,"id":703629,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Doerr, Stefan H.","contributorId":194269,"corporation":false,"usgs":false,"family":"Doerr","given":"Stefan","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":703630,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pereira, Paulo","contributorId":194270,"corporation":false,"usgs":false,"family":"Pereira","given":"Paulo","email":"","affiliations":[],"preferred":false,"id":703631,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cerda, Artemi","contributorId":194271,"corporation":false,"usgs":false,"family":"Cerda","given":"Artemi","email":"","affiliations":[],"preferred":false,"id":703632,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mataix-Solera, Jorge","contributorId":194272,"corporation":false,"usgs":false,"family":"Mataix-Solera","given":"Jorge","email":"","affiliations":[],"preferred":false,"id":703633,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
]} ![\"fi01_52.gif\"](\"https://bioone.org/ContentImages/Journals/cowa/37/1/063.037.0108/graphic/fi01_52.gif\")
± SE) in average years and 45,458 ± 1,653 in peak years with > 95% in circulation ponds. Shorebirds comprised 64,253 ± 14,838 (