Inputs of nutrients, sediments and detritus from catchments can promote selected components of reservoir fish assemblages, while hindering others. However, investigations linking these catchment subsidies to fish assemblages have generally focussed on one or a handful of species. Considering this paucity of community-level awareness, we sought to explore the association between land use and fish assemblage composition in reservoirs. To this end, we compared fish assemblages in reservoirs of two sub-basins of the Tennessee River representing differing intensities of agricultural development, and hypothesised that fish assemblage structure indicated by species percentage composition would differ among reservoirs in the two sub-basins. Using multivariate statistical analysis, we documented inter-basin differences in land use, reservoir productivity and fish assemblages, but no differences in reservoir morphometry or water regime. Basins were separated along a gradient of forested and non-forested catchment land cover, which was directly related to total nitrogen, total phosphorous and chlorophyll-a concentrations. Considering the extensive body of knowledge linking land use to aquatic systems, it is reasonable to postulate a hierarchical model in which productivity has direct links to terrestrial inputs, and fish assemblages have direct links to both land use and productivity. We observed a shift from an invertivore-based fish assemblage in forested catchments to a detritivore-based fish assemblage in agricultural catchments that may be a widespread pattern among reservoirs and other aquatic ecosystems.
","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/MF14188","usgsCitation":"Miranda, L.E., Bies, J.M., and Hann, D.A., 2015, Land use structures fish assemblages in reservoirs of the Tennessee River: Marine and Freshwater Research, v. 66, no. 6, p. 526-534, https://doi.org/10.1071/MF14188.","productDescription":"9 p.","startPage":"526","endPage":"534","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-057376","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":303097,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Tennessee River","volume":"66","issue":"6","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"558e77b8e4b0b6d21dd65961","contributors":{"authors":[{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":556877,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bies, J. M.","contributorId":144086,"corporation":false,"usgs":false,"family":"Bies","given":"J.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":558568,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hann, D. A.","contributorId":144087,"corporation":false,"usgs":false,"family":"Hann","given":"D.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":558569,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70155195,"text":"70155195 - 2015 - Potential nitrogen critical loads for northern Great Plains grassland vegetation","interactions":[],"lastModifiedDate":"2017-05-16T11:39:34","indexId":"70155195","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/NGPN/NRR - 2015/989","title":"Potential nitrogen critical loads for northern Great Plains grassland vegetation","docAbstract":"The National Park Service is concerned that increasing atmospheric nitrogen deposition caused by fossil fuel combustion and agricultural activities could adversely affect the northern Great Plains (NGP) ecosystems in its trust. The critical load concept facilitates communication between scientists and policy makers or land managers by translating the complex effects of air pollution on ecosystems into concrete numbers that can be used to inform air quality targets. A critical load is the exposure level below which significant harmful effects on sensitive elements of the environment do not occur. A recent review of the literature suggested that the nitrogen critical load for Great Plains vegetation is 10-25 kg N/ha/yr. For comparison, current atmospheric nitrogen deposition in NGP National Park Service (NPS) units ranges from ~4 kg N/ha/yr in the west to ~13 kg N/ha/yr in the east. The suggested critical load, however, was derived from studies far outside of the NGP, and from experiments investigating nitrogen loads substantially higher than current atmospheric deposition in the region.
Therefore, to better determine the nitrogen critical load for sensitive elements in NGP parks, we conducted a four-year field experiment in three northern Great Plains vegetation types at Badlands and Wind Cave National Parks. The vegetation types were chosen because of their importance in NGP parks, their expected sensitivity to nitrogen addition, and to span a range of natural fertility. In the experiment, we added nitrogen at rates ranging from below current atmospheric deposition (2.5 kg N/ha/yr) to far above those levels but commensurate with earlier experiments (100 kg N/ha/yr). We measured the response of a variety of vegetation and soil characteristics shown to be sensitive to nitrogen addition in other studies, including plant biomass production, plant tissue nitrogen concentration, plant species richness and composition, non-native species abundance, and soil inorganic nitrogen concentration. To determine critical loads for the NGP plant communities in our experiment, we followed the NPS’s precautionary principle in assuming that it is better to be cautious than to let harm occur to the environment. Thus, the critical loads we derived are the lowest nitrogen level that any of our data suggest has a measureable effect on any of the response variables measured.
Badlands sparse vegetation, a low-productivity plant community that is an important part of the scenery at Badlands National Park and provides habitat for rare plant species, was the most sensitive of the three vegetation types. More aspects of this vegetation type responded to nitrogen addition, and at lower levels, than at the other two sites. Our data suggest that nitrogen deposition levels of 4- 6 kg N/ha/yr may increase biomass production, and consequently the amount of dead plant material on the ground in this plant community. Slightly higher critical loads are suggested for the two more productive vegetation types more characteristic of most NGP grasslands: 6-10 kg N/ha/yr for biomass production, grass tissue nitrogen concentration, or non-native species (especially annual brome grasses) cover. Highly variable results among years, as well as inconsistent responses to an increasing dose of nitrogen within sites, complicated the derivation of critical loads in this experiment, however. A less precautionary approach to deriving critical loads yielded higher values of 10-38 kg N/ha/yr.
","language":"English","publisher":"U.S. National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Symstad, A., Smith, A.T., Newton, W.E., and Knapp, A., 2015, Potential nitrogen critical loads for northern Great Plains grassland vegetation: Natural Resource Report NPS/NGPN/NRR - 2015/989, viii, 59 p.","productDescription":"viii, 59 p.","numberOfPages":"72","ipdsId":"IP-064923","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":305827,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2222974"},{"id":341347,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Northern Great Plains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.218017578125,\n 49.001843917978526\n ],\n [\n -104.26025390625,\n 48.99463598353405\n ],\n [\n -104.26025390625,\n 46.98025235521883\n ],\n [\n -104.34814453125,\n 45.19752230305682\n ],\n [\n -104.501953125,\n 43.40504748787035\n ],\n [\n -104.67773437499999,\n 41.72213058512578\n ],\n [\n -104.26025390625,\n 40.613952441166596\n ],\n [\n -103.35937499999999,\n 39.9434364619742\n ],\n [\n -102.0849609375,\n 39.690280594818034\n ],\n [\n -101.5576171875,\n 39.9434364619742\n ],\n [\n -96.50390625,\n 42.47209690919285\n ],\n [\n -96.65771484375,\n 42.71473218539458\n ],\n [\n -96.52587890625,\n 42.97250158602597\n ],\n [\n -96.48193359375,\n 43.16512263158296\n ],\n [\n -96.48193359375,\n 43.5326204268101\n ],\n [\n -96.45996093749999,\n 43.76315996157264\n ],\n [\n -96.43798828125,\n 45.127804527473224\n ],\n [\n -96.50390625,\n 45.38301927899065\n ],\n [\n -96.690673828125,\n 45.43700828867391\n ],\n [\n -96.85546875,\n 45.598665689820635\n ],\n [\n -96.78955078125,\n 45.644768217751924\n ],\n [\n -96.580810546875,\n 45.84410779560204\n ],\n [\n -96.580810546875,\n 46.01222384063236\n ],\n [\n -96.56982421875,\n 46.28622391806706\n ],\n [\n -96.800537109375,\n 46.649436163350245\n ],\n [\n -96.767578125,\n 46.94276208682137\n ],\n [\n -96.8115234375,\n 46.98025235521883\n ],\n [\n -96.800537109375,\n 47.24194882163242\n ],\n [\n -96.822509765625,\n 47.60616304386874\n ],\n [\n -97.108154296875,\n 48.085418575511966\n ],\n [\n -97.119140625,\n 48.494767515307295\n ],\n [\n -97.13012695312499,\n 48.80686346108517\n ],\n [\n -97.218017578125,\n 49.001843917978526\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"591c0fcbe4b0a7fdb43ddefa","contributors":{"authors":[{"text":"Symstad, Amy J. 0000-0003-4231-2873 asymstad@usgs.gov","orcid":"https://orcid.org/0000-0003-4231-2873","contributorId":2611,"corporation":false,"usgs":true,"family":"Symstad","given":"Amy J.","email":"asymstad@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":565044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Anine T.","contributorId":145711,"corporation":false,"usgs":false,"family":"Smith","given":"Anine","email":"","middleInitial":"T.","affiliations":[{"id":6737,"text":"Colorado State University, Department of Ecosystem Science and Sustainability, and Natural Resource Ecology Laboratory","active":true,"usgs":false}],"preferred":false,"id":565045,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Newton, Wesley E. 0000-0002-1377-043X wnewton@usgs.gov","orcid":"https://orcid.org/0000-0002-1377-043X","contributorId":3661,"corporation":false,"usgs":true,"family":"Newton","given":"Wesley","email":"wnewton@usgs.gov","middleInitial":"E.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":565046,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Knapp, Alan K.","contributorId":139807,"corporation":false,"usgs":false,"family":"Knapp","given":"Alan K.","affiliations":[{"id":13277,"text":"Graduate Degree Program in Ecology and Department of Biology, Colorado State University, Ft. Collins, CO","active":true,"usgs":false}],"preferred":false,"id":565047,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70138628,"text":"70138628 - 2015 - Getting out of harm's way - evacuation from tsunamis","interactions":[],"lastModifiedDate":"2015-10-08T09:28:56","indexId":"70138628","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3431,"text":"Sound Waves: Coastal science and research news from across the USGS","active":true,"publicationSubtype":{"id":10}},"title":"Getting out of harm's way - evacuation from tsunamis","docAbstract":"Scientists at the U.S. Geological Survey (USGS) have developed a new mapping tool, the Pedestrian Evacuation Analyst, for use by researchers and emergency managers to estimate how long it would take for someone to travel on foot out of a tsunami-hazard zone. The ArcGIS software extension, released in September 2014, allows the user to create maps showing travel times out of hazard zones and to determine the number of people that may or may not have enough time to evacuate. The maps take into account the elevation changes and the different types of land cover that a person would encounter along the way.
\nMaps of travel time can be used by emergency managers and community planners to identify where to focus evacuation training and tsunami education. The tool can also be used to examine the potential benefits of vertical-evacuation structures, which are buildings or berms designed to provide a local high ground in low-lying areas of the hazard zone.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","usgsCitation":"Jones, J.M., Wood, N.J., and Gordon, L.C., 2015, Getting out of harm's way - evacuation from tsunamis: Sound Waves: Coastal science and research news from across the USGS, v. 2015, no. Jan/Feb, HTML Document.","productDescription":"HTML Document","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062204","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":309758,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":309757,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://soundwaves.usgs.gov/2015/02/outreach2.html"}],"volume":"2015","issue":"Jan/Feb","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"561793b5e4b0cdb063e3fb3d","contributors":{"authors":[{"text":"Jones, Jeanne M. 0000-0001-7549-9270 jmjones@usgs.gov","orcid":"https://orcid.org/0000-0001-7549-9270","contributorId":4676,"corporation":false,"usgs":true,"family":"Jones","given":"Jeanne","email":"jmjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":538877,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Nathan J. 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":3347,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","middleInitial":"J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":538878,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gordon, Leslie C. lgordon@usgs.gov","contributorId":4872,"corporation":false,"usgs":true,"family":"Gordon","given":"Leslie","email":"lgordon@usgs.gov","middleInitial":"C.","affiliations":[{"id":5072,"text":"Office of Communication and Publishing","active":true,"usgs":true}],"preferred":true,"id":577013,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70143535,"text":"70143535 - 2015 - Small lakes show muted climate change signal in deepwater temperatures","interactions":[],"lastModifiedDate":"2015-03-19T13:47:34","indexId":"70143535","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","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":"Small lakes show muted climate change signal in deepwater temperatures","docAbstract":"Water temperature observations were collected from 142 lakes across Wisconsin, USA, to examine variation in temperature of lakes exposed to similar regional climate. Whole lake water temperatures increased across the state from 1990 to 2012, with an average trend of 0.042°C yr−1 ± 0.01°C yr−1. In large (>0.5 km2) lakes, the positive temperature trend was similar across all depths. In small lakes (<0.5 km2), the warming trend was restricted to shallow waters, with no significant temperature trend observed in water >0.5 times the maximum lake depth. The differing response of small versus large lakes is potentially a result of wind-sheltering reducing turbulent mixing magnitude in small lakes. These results demonstrate that small lakes respond differently to climate change than large lakes, suggesting that current predictions of impacts to lakes from climate change may require modification.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2014GL062325","usgsCitation":"Winslow, L.A., Read, J.S., Hansen, G.J., and Hanson, P.C., 2015, Small lakes show muted climate change signal in deepwater temperatures: Geophysical Research Letters, v. 42, no. 2, p. 355-361, https://doi.org/10.1002/2014GL062325.","productDescription":"7 p.","startPage":"355","endPage":"361","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059949","costCenters":[],"links":[{"id":472389,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2014gl062325","text":"Publisher Index Page"},{"id":298768,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.92236328125,\n 42.569264372193864\n ],\n [\n -92.92236328125,\n 46.694667307773116\n ],\n [\n -86.85791015625,\n 46.694667307773116\n ],\n [\n -86.85791015625,\n 42.569264372193864\n ],\n [\n -92.92236328125,\n 42.569264372193864\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-20","publicationStatus":"PW","scienceBaseUri":"550bf336e4b02e76d759cdfc","chorus":{"doi":"10.1002/2014gl062325","url":"http://dx.doi.org/10.1002/2014gl062325","publisher":"Wiley-Blackwell","authors":"Winslow Luke A., Read Jordan S., Hansen Gretchen J. A., Hanson Paul C.","journalName":"Geophysical Research Letters","publicationDate":"1/20/2015","auditedOn":"6/29/2015"},"contributors":{"authors":[{"text":"Winslow, Luke A. 0000-0002-8602-5510 lwinslow@usgs.gov","orcid":"https://orcid.org/0000-0002-8602-5510","contributorId":5919,"corporation":false,"usgs":true,"family":"Winslow","given":"Luke","email":"lwinslow@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":false,"id":542785,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Read, Jordan S. 0000-0002-3888-6631 jread@usgs.gov","orcid":"https://orcid.org/0000-0002-3888-6631","contributorId":4453,"corporation":false,"usgs":true,"family":"Read","given":"Jordan","email":"jread@usgs.gov","middleInitial":"S.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":542786,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Gretchen J. A.","contributorId":131099,"corporation":false,"usgs":false,"family":"Hansen","given":"Gretchen","email":"","middleInitial":"J. A.","affiliations":[{"id":7242,"text":"Wisconsin Department of Natural Resources, Madison, WI, USA","active":true,"usgs":false}],"preferred":false,"id":542787,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":542788,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70191861,"text":"70191861 - 2015 - Ordovician of Germany Valley, West Virginia","interactions":[],"lastModifiedDate":"2018-02-12T13:10:27","indexId":"70191861","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"Ordovician of Germany Valley, West Virginia","docAbstract":"This trip will consist of stops at five locations (Fig. 1) that provide a detailed look at the strata in a major part of the Ordovician section in Germany Valley,\nPendleton County, West Virginia. At these stops, we will highlight a varied sequence of\ncarbonate and siliciclastic strata that accumulated during the Middle to Late Ordovician, and\nwhich record changes in depositional environments associated with Taconic tectonic activity.","language":"English","publisher":"Micropress","usgsCitation":"Haynes, J.T., Goggin, K.E., Orndorff, R.C., and Goggin, L.R., 2015, Ordovician of Germany Valley, West Virginia: Stratigraphy, v. 12, no. 3-4, p. 1-45.","productDescription":"45 p.","startPage":"1","endPage":"45","ipdsId":"IP-070856","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":351489,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346859,"type":{"id":15,"text":"Index Page"},"url":"https://www.micropress.org/microaccess/stratigraphy/issue-317/article-1930"}],"country":"United States","state":"West Virginia","county":"Pendleton County","otherGeospatial":"Germany Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -79.53208923339844,\n 38.63725461835644\n ],\n [\n -79.32746887207031,\n 38.63725461835644\n ],\n [\n -79.32746887207031,\n 38.858958910448536\n ],\n [\n -79.53208923339844,\n 38.858958910448536\n ],\n [\n -79.53208923339844,\n 38.63725461835644\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"3-4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeebefe4b0da30c1bfc6a6","contributors":{"authors":[{"text":"Haynes, John T.","contributorId":197407,"corporation":false,"usgs":false,"family":"Haynes","given":"John","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":713439,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goggin, Keith E.","contributorId":147155,"corporation":false,"usgs":false,"family":"Goggin","given":"Keith","email":"","middleInitial":"E.","affiliations":[{"id":16797,"text":"Weatherford Laboratories","active":true,"usgs":false}],"preferred":false,"id":713440,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Orndorff, Randall C. 0000-0002-8956-5803 rorndorf@usgs.gov","orcid":"https://orcid.org/0000-0002-8956-5803","contributorId":2739,"corporation":false,"usgs":true,"family":"Orndorff","given":"Randall","email":"rorndorf@usgs.gov","middleInitial":"C.","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":713438,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goggin, Lisa R.","contributorId":197408,"corporation":false,"usgs":false,"family":"Goggin","given":"Lisa","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":713441,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70144530,"text":"70144530 - 2015 - Long-term growth-increment chronologies reveal diverse influences of climate forcing on freshwater and forest biota in the Pacific Northwest","interactions":[],"lastModifiedDate":"2017-11-22T18:01:48","indexId":"70144530","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Long-term growth-increment chronologies reveal diverse influences of climate forcing on freshwater and forest biota in the Pacific Northwest","docAbstract":"Analyses of how organisms are likely to respond to a changing climate have focused largely on the direct effects of warming temperatures, though changes in other variables may also be important, particularly the amount and timing of precipitation. Here, we develop a network of eight growth-increment width chronologies for freshwater mussel species in the Pacific Northwest, United States and integrate them with tree-ring data to evaluate how terrestrial and aquatic indicators respond to hydroclimatic variability, including river discharge and precipitation. Annual discharge averaged across water years (October 1–September 30) was highly synchronous among river systems and imparted a coherent pattern among mussel chronologies. The leading principal component of the five longest mussel chronologies (1982–2003; PC1mussel) accounted for 47% of the dataset variability and negatively correlated with the leading principal component of river discharge (PC1discharge; r = −0.88; P < 0.0001). PC1mussel and PC1discharge were closely linked to regional wintertime precipitation patterns across the Pacific Northwest, the season in which the vast majority of annual precipitation arrives. Mussel growth was also indirectly related to tree radial growth, though the nature of the relationships varied across the landscape. Negative correlations occurred in forests where tree growth tends to be limited by drought while positive correlations occurred in forests where tree growth tends to be limited by deep or lingering snowpack. Overall, this diverse assemblage of chronologies illustrates the importance of winter precipitation to terrestrial and freshwater ecosystems and suggests that a complexity of climate responses must be considered when estimating the biological impacts of climate variability and change.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.12756","usgsCitation":"Black, B.A., Dunham, J., Blundon, B.W., Brim-Box, J., and Tepley, A.J., 2015, Long-term growth-increment chronologies reveal diverse influences of climate forcing on freshwater and forest biota in the Pacific Northwest: Global Change Biology, v. 21, no. 2, p. 594-604, https://doi.org/10.1111/gcb.12756.","productDescription":"11 p.","startPage":"594","endPage":"604","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056994","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":299199,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -125.068359375,\n 42.01665183556825\n ],\n [\n -125.068359375,\n 48.93693495409401\n ],\n [\n -111.005859375,\n 48.93693495409401\n ],\n [\n -111.005859375,\n 42.01665183556825\n ],\n [\n -125.068359375,\n 42.01665183556825\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2014-11-17","publicationStatus":"PW","scienceBaseUri":"551bc52ce4b0323842783a4e","chorus":{"doi":"10.1111/gcb.12756","url":"http://dx.doi.org/10.1111/gcb.12756","publisher":"Wiley-Blackwell","authors":"Black Bryan A., Dunham Jason B., Blundon Brett W., Brim-Box Jayne, Tepley Alan J.","journalName":"Global Change Biology","publicationDate":"11/17/2014","auditedOn":"10/29/2014"},"contributors":{"authors":[{"text":"Black, Bryan A.","contributorId":68448,"corporation":false,"usgs":false,"family":"Black","given":"Bryan","email":"","middleInitial":"A.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":543683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":1808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason B.","email":"jdunham@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":543682,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blundon, Brett W.","contributorId":26805,"corporation":false,"usgs":false,"family":"Blundon","given":"Brett","email":"","middleInitial":"W.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":543684,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brim-Box, Jayne","contributorId":139992,"corporation":false,"usgs":false,"family":"Brim-Box","given":"Jayne","email":"","affiliations":[{"id":13345,"text":"Confederated Tribes of the Umatilla Indian Reservation","active":true,"usgs":false}],"preferred":false,"id":543685,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tepley, Alan J.","contributorId":139993,"corporation":false,"usgs":false,"family":"Tepley","given":"Alan","email":"","middleInitial":"J.","affiliations":[{"id":13346,"text":"University of Colorado at Boulder, Department of Geography","active":true,"usgs":false}],"preferred":false,"id":543686,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70144531,"text":"70144531 - 2015 - Songbirds as sentinels of mercury in terrestrial habitats of eastern North America","interactions":[],"lastModifiedDate":"2018-08-09T12:32:09","indexId":"70144531","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Songbirds as sentinels of mercury in terrestrial habitats of eastern North America","docAbstract":"Mercury (Hg) is a globally distributed environmental contaminant with a variety of deleterious effects in fish, wildlife, and humans. Breeding songbirds may be useful sentinels for Hg across diverse habitats because they can be effectively sampled, have well-defined and small territories, and can integrate pollutant exposure over time and space. We analyzed blood total Hg concentrations from 8,446 individuals of 102 species of songbirds, sampled on their breeding territories across 161 sites in eastern North America [geometric mean Hg concentration = 0.25 μg/g wet weight (ww), range <0.01–14.60 μg/g ww]. Our records span an important time period—the decade leading up to implementation of the USEPA Mercury and Air Toxics Standards, which will reduce Hg emissions from coal-fired power plants by over 90 %. Mixed-effects modeling indicated that habitat, foraging guild, and age were important predictors of blood Hg concentrations across species and sites. Blood Hg concentrations in adult invertebrate-eating songbirds were consistently higher in wetland habitats (freshwater or estuarine) than upland forests. Generally, adults exhibited higher blood Hg concentrations than juveniles within each habitat type. We used model results to examine species-specific differences in blood Hg concentrations during this time period, identifying potential Hg sentinels in each region and habitat type. Our results present the most comprehensive assessment of blood Hg concentrations in eastern songbirds to date, and thereby provide a valuable framework for designing and evaluating risk assessment schemes using sentinel songbird species in the time after implementation of the new atmospheric Hg standards.
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Orono","active":true,"usgs":false}],"preferred":false,"id":543693,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hoskins, Bart","contributorId":139996,"corporation":false,"usgs":false,"family":"Hoskins","given":"Bart","email":"","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":543694,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lane, Oksana P.","contributorId":139997,"corporation":false,"usgs":false,"family":"Lane","given":"Oksana","email":"","middleInitial":"P.","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false}],"preferred":false,"id":543695,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sauer, Amy","contributorId":139998,"corporation":false,"usgs":false,"family":"Sauer","given":"Amy","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 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","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"2nd Proceedings of Environmental Considerations in Energy Production","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Society for Mining, Metallurgy, and Exploration, Inc","usgsCitation":"Sweeten, S.E., Silvis, A., and Ford, W., 2015, Seasonal variability in benthic macroinvertebrate assemblages in the southwest Virginia coalfields, in 2nd Proceedings of Environmental Considerations in Energy Production, p. 243-251.","productDescription":"9 p.","startPage":"243","endPage":"251","ipdsId":"IP-065418","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348689,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fec7e4b06e28e9c25351","contributors":{"authors":[{"text":"Sweeten, Sara E.","contributorId":191565,"corporation":false,"usgs":false,"family":"Sweeten","given":"Sara","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":721799,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Silvis, Alexander","contributorId":171585,"corporation":false,"usgs":false,"family":"Silvis","given":"Alexander","email":"","affiliations":[{"id":26923,"text":"Virginia Polytechnic Institute, Blacksburg, VA","active":true,"usgs":false}],"preferred":false,"id":721800,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":719891,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192553,"text":"70192553 - 2015 - Application and utility of a low-cost unmanned aerial system to manage and conserve aquatic resources in four Texas rivers","interactions":[],"lastModifiedDate":"2017-10-26T11:39:43","indexId":"70192553","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3909,"text":"Journal of the Southeastern Association of Fish and Wildlife Agencies","active":true,"publicationSubtype":{"id":10}},"title":"Application and utility of a low-cost unmanned aerial system to manage and conserve aquatic resources in four Texas rivers","docAbstract":"Low-cost unmanned aerial systems (UAS) have recently gained increasing attention in natural resources management due to their versatility and demonstrated utility in collection of high-resolution, temporally-specific geospatial data. This study applied low-cost UAS to support the geospatial data needs of aquatic resources management projects in four Texas rivers. Specifically, a UAS was used to (1) map invasive salt cedar (multiple species in the genus Tamarix) that have degraded instream habitat conditions in the Pease River, (2) map instream meso-habitats and structural habitat features (e.g., boulders, woody debris) in the South Llano River as a baseline prior to watershed-scale habitat improvements, (3) map enduring pools in the Blanco River during drought conditions to guide smallmouth bass removal efforts, and (4) quantify river use by anglers in the Guadalupe River. These four case studies represent an initial step toward assessing the full range of UAS applications in aquatic resources management, including their ability to offer potential cost savings, time efficiencies, and higher quality data over traditional survey methods.
","language":"English","publisher":"Southeastern Association of Fish and Wildlife Agencies","usgsCitation":"Birdsong, T.W., Bean, M., Grabowski, T.B., Hardy, T., Heard, T., Holdstock, D., Kollaus, K., Magnelia, S.J., and Tolman, K., 2015, Application and utility of a low-cost unmanned aerial system to manage and conserve aquatic resources in four Texas rivers: Journal of the Southeastern Association of Fish and Wildlife Agencies, v. 2015, p. 80-85.","productDescription":"6 p.","startPage":"80","endPage":"85","ipdsId":"IP-061429","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":347451,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":347450,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.seafwa.org/publications/journal/?id=91"}],"country":"United States","state":"Texas","volume":"2015","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07eb8be4b09af898c8ccf2","contributors":{"authors":[{"text":"Birdsong, Timothy W.","contributorId":172473,"corporation":false,"usgs":false,"family":"Birdsong","given":"Timothy","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":716180,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bean, Megan","contributorId":198471,"corporation":false,"usgs":false,"family":"Bean","given":"Megan","affiliations":[],"preferred":false,"id":716181,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grabowski, Timothy B. 0000-0001-9763-8948 tgrabowski@usgs.gov","orcid":"https://orcid.org/0000-0001-9763-8948","contributorId":4178,"corporation":false,"usgs":true,"family":"Grabowski","given":"Timothy","email":"tgrabowski@usgs.gov","middleInitial":"B.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":716168,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hardy, Thomas B.","contributorId":62936,"corporation":false,"usgs":true,"family":"Hardy","given":"Thomas B.","affiliations":[],"preferred":false,"id":716182,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heard, Thomas","contributorId":198472,"corporation":false,"usgs":false,"family":"Heard","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":716183,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Holdstock, Derrick","contributorId":198473,"corporation":false,"usgs":false,"family":"Holdstock","given":"Derrick","email":"","affiliations":[],"preferred":false,"id":716184,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kollaus, Kristy","contributorId":198474,"corporation":false,"usgs":false,"family":"Kollaus","given":"Kristy","email":"","affiliations":[],"preferred":false,"id":716185,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Magnelia, Stephan J.","contributorId":172959,"corporation":false,"usgs":false,"family":"Magnelia","given":"Stephan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":716186,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tolman, Kristina","contributorId":198475,"corporation":false,"usgs":false,"family":"Tolman","given":"Kristina","email":"","affiliations":[],"preferred":false,"id":716187,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70159862,"text":"70159862 - 2015 - Shoreface response and recovery to Hurricane Sandy: Fire Island, NY","interactions":[],"lastModifiedDate":"2017-04-25T10:47:45","indexId":"70159862","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Shoreface response and recovery to Hurricane Sandy: Fire Island, NY","docAbstract":"The shoreface of Fire Island was extensively modified by Hurricane Sandy and subsequent storms in the following winter months. The changes were evaluated using various morphometrics of the shoreface from four bathymetric surveys, one prior to Hurricane Sandy, and three over the course of twenty months following Sandy. The datasets show that the nearshore bar system moved offshore to deeper water depths following Hurricane Sandy with volume lost from the subaerial beach and surfzone. Following the offshore shift, the nearshore bar system increased in size, the trough deepened, and there has been gradual landward movement of the nearshore bar. The steepening of the upper shoreface, landward translation of the profile, and loss of sediment is indicative of barrier island transgression.
Suburban land use is expanding in many parts of the United States and there is a need to better understand the potential water-quality impacts of this change. This study characterized groundwater quality in a sandy, water-table aquifer influenced by suburban development and compared the results to known patterns in water chemistry associated with natural, background conditions and agricultural effects. Samples for nutrients, major ions, and isotopes of N and O in NO3− were collected in 2011 beneath turfgrass from 29 shallow wells (median depth 3.7 m) and from 18 deeper wells (median depth 16.9 m) in a long-term suburban development. Nitrate (as N) concentrations in groundwater beneath turfgrass were highly variable (0.02–22.3 mg L−1) with a median of 2.7 mg L−1, which is higher than natural water chemistry (>0.4 mg L−1; Na+–Cl−–HCO3− water type), but significantly lower than concentrations beneath a nearby agricultural area (median 16.9 mg L−1; p < .0001). Dissolved Fe concentrations in shallow suburban groundwater, attributed to chelated Fe in turfgrass fertilizers, were significantly higher (p < .005) than concentrations from the agricultural site, although a Ca2+–Mg2+–Cl−–NO3− water type was dominant in both areas. A Na+–Cl−–NO3− water type indicated a septic-system source for nitrate in deep suburban groundwater (0.06–6.0 mg L−1; median 1.5 mg L−1). Isotopic data indicated denitrification; however, geochemical techniques were more helpful in identifying nitrate sources. Results indicate that suburban expansion into agricultural areas may significantly decrease overall nitrate concentrations in groundwater, but excessive turfgrass fertilization could result in localized contamination.
","language":"English","publisher":"American Society of Agronomy, Crop Science Society of America, Soil Science Society of America","doi":"10.2134/jeq2014.06.0280","usgsCitation":"Kasper, J.W., Denver, J.M., and York, J.K., 2015, Suburban groundwater quality as influenced by turfgrass and septic sources, Delmarva Peninsula, USA: Journal of Environmental Quality, v. 44, no. 2, p. 642-654, https://doi.org/10.2134/jeq2014.06.0280.","productDescription":"13 p.","startPage":"642","endPage":"654","numberOfPages":"13","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-040557","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":472388,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2134/jeq2014.06.0280","text":"Publisher Index Page"},{"id":299212,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware","otherGeospatial":"Delmarva Peninsula","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.17995834350585,\n 38.634438731500104\n ],\n [\n -75.17995834350585,\n 38.64838299329524\n ],\n [\n -75.14820098876953,\n 38.64838299329524\n ],\n [\n -75.14820098876953,\n 38.634438731500104\n ],\n [\n -75.17995834350585,\n 38.634438731500104\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.2479362487793,\n 38.64369051578083\n ],\n [\n -75.2479362487793,\n 38.66044795293739\n ],\n [\n -75.19094467163086,\n 38.66044795293739\n ],\n [\n -75.19094467163086,\n 38.64369051578083\n ],\n [\n -75.2479362487793,\n 38.64369051578083\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-01","publicationStatus":"PW","scienceBaseUri":"551bc52ee4b0323842783a55","contributors":{"authors":[{"text":"Kasper, Joshua W.","contributorId":83802,"corporation":false,"usgs":false,"family":"Kasper","given":"Joshua","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":543775,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Denver, Judith M. jmdenver@usgs.gov","contributorId":140022,"corporation":false,"usgs":true,"family":"Denver","given":"Judith","email":"jmdenver@usgs.gov","middleInitial":"M.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":543773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"York, Joanna K.","contributorId":140023,"corporation":false,"usgs":false,"family":"York","given":"Joanna","email":"","middleInitial":"K.","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":543774,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192095,"text":"70192095 - 2015 - Quality assurance testing of acoustic doppler current profiler transform matrices","interactions":[],"lastModifiedDate":"2018-02-27T13:21:10","indexId":"70192095","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Quality assurance testing of acoustic doppler current profiler transform matrices","docAbstract":"The U.S. Geological Survey (USGS) Hydrologic Instrumentation Facility (HIF) is nationally responsible for the design, testing, evaluation, repair, calibration, warehousing, and distribution of hydrologic instrumentation in use within the USGS Water Mission Area (WMA). The HIF's Hydraulic Laboratory has begun routine quality assurance (QA) testing and documenting the performance of every USGS WMA acoustic Doppler current profiler (ADCP) used for making velocity and discharge measurements. All existing ADCPs are being registered and tracked in a database maintained by the HIF, and called for QA checks in the HIF's Hydraulic Laboratory on a 3- year cycle. All new ADCPs purchased directly from the manufacturer as well as ADCPs sent to the HIF or the manufacturer for repair are being registered and tracked in the database and QA checked in the laboratory before being placed into service. Meters failing the QA check are sent directly to the manufacturer for repairs and rechecked by HIF or removed from service. Although this QA program is specific to the SonTek1 and Teledyne RD Instruments1, ADCPs most commonly used within the WMA, it is the intent of the USGS Office of Surface Water and the HIF to expand this program to include all bottom tracking ADCPs as they become available and more widely used throughout the WMA. As part of the HIF QA process, instruments are inspected for physical damage, the instrument must pass the ADCP diagnostic self-check tests, the temperature probe must be within ± 2 degrees Celsius of a National Institute of Standards and Technology traceable reference thermometer and the distance made good over a fixed distance must meet the manufacturer's specifications (+/-0.25% or +/-1% difference). The transform matrix is tested by conducting distance-made-good (DMG) tests comparing the straight-line distance from bottom tracking to the measured tow-track distance. The DMG test is conducted on each instrument twice in the forward and reverse directions (4 tows) at four orientations (16 total tows); with beam 1 orientated 0 degrees to the towing direction; turned 45 degrees to the towing direction; turned 90 degrees to the towing direction; and turned 135 degrees to the towing direction. All QA data files and summary results are archived. This paper documents methodology, participation and preliminary results of WMA ADCP QA testing.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"2015 IEEE/OES Eleveth Current, Waves and Turbulence Measurement (CWTM)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2015 IEEE/OES Eleveth Current, Waves and Turbulence Measurement (CWTM)","conferenceDate":"March 2-6, 2015","conferenceLocation":"St. Petersburg, FL","language":"English","publisher":"IEEE","doi":"10.1109/CWTM.2015.7098108","usgsCitation":"Armstrong, B., Fulford, J.M., and Thibodeaux, K.G., 2015, Quality assurance testing of acoustic doppler current profiler transform matrices, in 2015 IEEE/OES Eleveth Current, Waves and Turbulence Measurement (CWTM), St. Petersburg, FL, March 2-6, 2015, https://doi.org/10.1109/CWTM.2015.7098108.","ipdsId":"IP-062099","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":472430,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://zenodo.org/record/1266885","text":"External Repository"},{"id":352082,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeebefe4b0da30c1bfc6a2","contributors":{"authors":[{"text":"Armstrong, Brandy barmstrong@usgs.gov","contributorId":140038,"corporation":false,"usgs":true,"family":"Armstrong","given":"Brandy","email":"barmstrong@usgs.gov","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":714204,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fulford, Janice M. jfulford@usgs.gov","contributorId":991,"corporation":false,"usgs":true,"family":"Fulford","given":"Janice","email":"jfulford@usgs.gov","middleInitial":"M.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":714205,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thibodeaux, Kirk G.","contributorId":107036,"corporation":false,"usgs":true,"family":"Thibodeaux","given":"Kirk","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":714206,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70189521,"text":"70189521 - 2015 - Effects of natural organic matter properties on the dissolution kinetics of zinc oxide nanoparticles","interactions":[],"lastModifiedDate":"2018-08-09T12:41:28","indexId":"70189521","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","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":"Effects of natural organic matter properties on the dissolution kinetics of zinc oxide nanoparticles","docAbstract":"The dissolution of zinc oxide (ZnO) nanoparticles (NPs) is a key step of controlling their environmental fate, bioavailability, and toxicity. Rates of dissolution often depend upon factors such as interactions of NPs with natural organic matter (NOM). We examined the effects of 16 different NOM isolates on the dissolution kinetics of ZnO NPs in buffered potassium chloride solution using anodic stripping voltammetry to directly measure dissolved zinc concentrations. The observed dissolution rate constants (kobs) and dissolved zinc concentrations at equilibrium increased linearly with NOM concentration (from 0 to 40 mg C L–1) for Suwannee River humic and fulvic acids and Pony Lake fulvic acid. When dissolution rates were compared for the 16 NOM isolates, kobs was positively correlated with certain properties of NOM, including specific ultraviolet absorbance (SUVA), aromatic and carbonyl carbon contents, and molecular weight. Dissolution rate constants were negatively correlated to hydrogen/carbon ratio and aliphatic carbon content. The observed correlations indicate that aromatic carbon content is a key factor in determining the rate of NOM-promoted dissolution of ZnO NPs. The findings of this study facilitate a better understanding of the fate of ZnO NPs in organic-rich aquatic environments and highlight SUVA as a facile and useful indicator of NOM interactions with metal-based nanoparticles.
","language":"English","publisher":"ACS","doi":"10.1021/acs.est.5b02406","usgsCitation":"Jiang, C., Aiken, G.R., and Hsu-Kim, H., 2015, Effects of natural organic matter properties on the dissolution kinetics of zinc oxide nanoparticles: Environmental Science & Technology, v. 49, no. 19, p. 11476-11484, https://doi.org/10.1021/acs.est.5b02406.","productDescription":"9 p.","startPage":"11476","endPage":"11484","ipdsId":"IP-067514","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":343866,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"19","noUsgsAuthors":false,"publicationDate":"2015-09-23","publicationStatus":"PW","scienceBaseUri":"5969d82ee4b0d1f9f060a1a5","contributors":{"authors":[{"text":"Jiang, Chuanjia","contributorId":194659,"corporation":false,"usgs":false,"family":"Jiang","given":"Chuanjia","email":"","affiliations":[],"preferred":false,"id":705017,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":705018,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hsu-Kim, Heileen","contributorId":49041,"corporation":false,"usgs":false,"family":"Hsu-Kim","given":"Heileen","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":705019,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193024,"text":"70193024 - 2015 - Low productivity of Chinook salmon strongly correlates with high summer stream discharge in two Alaskan rivers in the Yukon drainage","interactions":[],"lastModifiedDate":"2017-11-07T11:03:42","indexId":"70193024","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Low productivity of Chinook salmon strongly correlates with high summer stream discharge in two Alaskan rivers in the Yukon drainage","docAbstract":"Yukon River Chinook salmon (Oncorhynchus tshawytscha) populations are declining for unknown reasons, creating hardship for thousands of stakeholders in subsistence and commercial fisheries. An informed response to this crisis requires understanding the major sources of variation in Chinook salmon productivity. However, simple stock–recruitment models leave much of the variation in this system’s productivity unexplained. We tested adding environmental predictors to stock–recruitment models for two Yukon drainage spawning streams in interior Alaska — the Chena and Salcha rivers. Low productivity was strongly associated with high stream discharge during the summer of freshwater residency for young-of-the-year Chinook salmon. This association was more consistent with the hypothesis that sustained high discharge negatively affects foraging conditions than with acute mortality during floods. Productivity may have also been reduced in years when incubating eggs experienced major floods or cold summers and falls. These freshwater effects — especially density dependence and high discharge — helped explain population declines in both rivers. They are plausible as contributors to the decline of Chinook salmon throughout the Yukon River drainage.
","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2014-0498","usgsCitation":"Neuswanger, J.R., Wipfli, M.S., Evenson, M.J., Hughes, N.F., and Rosenberger, A.E., 2015, Low productivity of Chinook salmon strongly correlates with high summer stream discharge in two Alaskan rivers in the Yukon drainage: Canadian Journal of Fisheries and Aquatic Sciences, v. 72, no. 8, p. 1125-1137, https://doi.org/10.1139/cjfas-2014-0498.","productDescription":"13 p.","startPage":"1125","endPage":"1137","ipdsId":"IP-060444","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348348,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Chena River, Salcha River","volume":"72","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07eb8be4b09af898c8ccec","contributors":{"authors":[{"text":"Neuswanger, Jason R.","contributorId":15530,"corporation":false,"usgs":true,"family":"Neuswanger","given":"Jason","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":720857,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":717686,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Evenson, Matthew J.","contributorId":44434,"corporation":false,"usgs":true,"family":"Evenson","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":720858,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hughes, Nicholas F.","contributorId":40497,"corporation":false,"usgs":true,"family":"Hughes","given":"Nicholas","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":720859,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosenberger, Amanda E. 0000-0002-5520-8349 arosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5520-8349","contributorId":5581,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","email":"arosenberger@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":720860,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70159656,"text":"70159656 - 2015 - Quantifying and predicting fuels and the effects of reduction treatments along successional and invasion gradients in sagebrush habitats","interactions":[],"lastModifiedDate":"2017-11-22T15:52:18","indexId":"70159656","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":6,"text":"USGS Unnumbered Series"},"title":"Quantifying and predicting fuels and the effects of reduction treatments along successional and invasion gradients in sagebrush habitats","docAbstract":"Sagebrush shrubland ecosystems in the Great Basin are prime examples of how altered successional trajectories can create dynamic fuel conditions and, thus, increase uncertainty about fire risk and behavior. Although fire is a natural disturbance in sagebrush, post-fire environments are highly susceptible to conversion to an invasive grass-fire regime (often referred to as a “grass-fire cycle”). After fire, native shrub-steppe plants are often slow to regenerate, whereas nonnative annuals, especially cheatgrass (Bromus tectorum) and medusahead (Taeniatherum caput-medusae), can establish quickly and outcompete native species. Once fire-prone annuals become established, fire occurrences increase, further promoting dominance of nonnative species. The invasive grass-fire regime also alters nutrient and hydrologic cycles, pushing ecosystems beyond ecological thresholds toward steady-state, fire-prone, nonnative communities. These changes affect millions of hectares in the Great Basin and increase fire risk, decrease habitat quality and biodiversity, accelerate soil erosion, and degrade rangeland resources for livestock production. In many sagebrush landscapes, constantly changing plant communities and fuel conditions hinder attempts by land managers to predict and control fire behavior, restore native communities, and provide ecosystem services (e.g., forage production for livestock). We investigated successional and nonnative plant invasion states and associated fuel loads in degraded sagebrush habitat in a focal study area, the Morley Nelson Snake River Birds of Prey National Conservation Area (hereafter the NCA), in the Snake River Plain Ecoregion of southern Idaho. We expanded our inference by comparing our findings to similar data collected throughout seven major land resource areas (MLRAs) across the Great Basin (JFSP Project “Fire Rehabilitation Effectiveness: A Chronosequence Approach for the Great Basin” [09-S-02-1]). 4 We used a combination of field-sampling, experimental treatments, and remotely sensed data to address the following questions: (1) How do fuel loads change along gradients of succession and invasion in sagebrush ecological sites? (2) How do fuel reduction treatments influence fuels in invaded areas formerly dominated by sagebrush? (3) How do fuel loads vary across landscapes and which remote sensing techniques are effective for characterizing them?
","language":"English","publisher":"Joint Science Program","doi":"10.3133/70159656","usgsCitation":"Shinneman, D.J., Pilliod, D.S., Arkle, R., and Glenn, N.F., 2015, Quantifying and predicting fuels and the effects of reduction treatments along successional and invasion gradients in sagebrush habitats, 44 p. , https://doi.org/10.3133/70159656.","productDescription":"44 p. ","ipdsId":"IP-069844","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":332331,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":332330,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.firescience.gov/projects/11-1-2-30/project/11-1-2-30_final_report.pdf"}],"country":"United States","state":"Idaho","otherGeospatial":"Prey National Conservation Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.01538085937499,\n 42.032974332441405\n ],\n [\n -117.01538085937499,\n 43.74728909225908\n ],\n [\n -113.9501953125,\n 43.74728909225908\n ],\n [\n -113.9501953125,\n 42.032974332441405\n ],\n [\n -117.01538085937499,\n 42.032974332441405\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"585a51c0e4b01224f329b5f9","contributors":{"authors":[{"text":"Shinneman, Douglas J. 0000-0002-4909-5181 dshinneman@usgs.gov","orcid":"https://orcid.org/0000-0002-4909-5181","contributorId":147745,"corporation":false,"usgs":true,"family":"Shinneman","given":"Douglas","email":"dshinneman@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":579927,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pilliod, David S. 0000-0003-4207-3518 dpilliod@usgs.gov","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":149254,"corporation":false,"usgs":true,"family":"Pilliod","given":"David","email":"dpilliod@usgs.gov","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":579928,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arkle, Robert 0000-0003-3021-1389 rarkle@usgs.gov","orcid":"https://orcid.org/0000-0003-3021-1389","contributorId":149893,"corporation":false,"usgs":true,"family":"Arkle","given":"Robert","email":"rarkle@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":579929,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glenn, Nancy F.","contributorId":95321,"corporation":false,"usgs":true,"family":"Glenn","given":"Nancy","email":"","middleInitial":"F.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":579930,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70159649,"text":"70159649 - 2015 - Reservoir controls on the occurrence and production of gas hydrates in marine and Arctic permafrost settings","interactions":[],"lastModifiedDate":"2017-09-18T17:10:34","indexId":"70159649","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Reservoir controls on the occurrence and production of gas hydrates in marine and Arctic permafrost settings","docAbstract":"No abstract available.
Evidence has become available in this century indicating that populations of the endangered Shortnose Sturgeon Acipenser brevirostrum migrate outside their natal river systems, but the full extent and functional basis of these migrations are not well understood. Between 2007 and 2013, 40 Shortnose Sturgeon captured and tagged in four Gulf of Maine river systems migrated long distances in coastal waters to reach the Kennebec System where their movements were logged by an acoustic receiver array. Twenty-one (20%) of 104 Shortnose Sturgeon tagged in the Penobscot River, two (50%) of four tagged in the Kennebec System, one (50%) of two tagged in the Saco River, and 16 (37%) of 43 tagged in the Merrimack River moved to a previously identified spawning site or historical spawning habitat in the Kennebec System in spring. Most (65%) moved in early spring from the tagging location directly to a spawning site in the Kennebec System, whereas the rest moved primarily in the fall from the tagging location to a wintering site in that system and moved to a spawning site the following spring. Spawning was inferred from the location, behavior, and sexual status of the fish and from season, water temperature, and discharge, and was confirmed by the capture of larvae in some years. Tagged fish went to a known spawning area in the upper Kennebec Estuary (16 events) or the Androscoggin Estuary (14 events), an historical spawning habitat in the restored Kennebec River (8 events), or two spawning areas in a single year (7 events). We have provided the first evidence indicating that Shortnose Sturgeon spawn in the restored Kennebec River in an historical habitat that became accessible in 1999 when Edwards Dam was removed, 162 years after it was constructed. These results highlight the importance of the Kennebec System to Shortnose Sturgeon throughout the Gulf of Maine.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2015.1037931","usgsCitation":"Wippelhauser, G.S., Zydlewski, G.B., Kieffer, M., Sulikowski, J., and Kinnison, M.T., 2015, Shortnose sturgeon in the Gulf of Maine: Use of spawning habitat in the Kennebec System and response to dam removal: Transactions of the American Fisheries Society, v. 144, no. 4, p. 742-752, https://doi.org/10.1080/00028487.2015.1037931.","productDescription":"11 p.","startPage":"742","endPage":"752","ipdsId":"IP-058271","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":346733,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Gulf of Maine","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -69.93896484375,\n 43.69369383336777\n ],\n [\n -69.554443359375,\n 43.69369383336777\n ],\n [\n -69.554443359375,\n 44.62761851676016\n ],\n [\n -69.93896484375,\n 44.62761851676016\n ],\n [\n -69.93896484375,\n 43.69369383336777\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"144","issue":"4","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2015-06-15","publicationStatus":"PW","scienceBaseUri":"59e71694e4b05fe04cd331d2","contributors":{"authors":[{"text":"Wippelhauser, Gail S.","contributorId":169680,"corporation":false,"usgs":false,"family":"Wippelhauser","given":"Gail","email":"","middleInitial":"S.","affiliations":[{"id":25571,"text":"Maine Department of Marine Resources, Augusta, ME","active":true,"usgs":false}],"preferred":false,"id":712964,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zydlewski, Gayle B.","contributorId":169688,"corporation":false,"usgs":false,"family":"Zydlewski","given":"Gayle","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":712965,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kieffer, Micah 0000-0001-9310-018X mkieffer@usgs.gov","orcid":"https://orcid.org/0000-0001-9310-018X","contributorId":2641,"corporation":false,"usgs":true,"family":"Kieffer","given":"Micah","email":"mkieffer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":712963,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sulikowski, James","contributorId":197218,"corporation":false,"usgs":false,"family":"Sulikowski","given":"James","email":"","affiliations":[],"preferred":false,"id":712966,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kinnison, Michael T.","contributorId":169617,"corporation":false,"usgs":false,"family":"Kinnison","given":"Michael","email":"","middleInitial":"T.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":712967,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70143513,"text":"70143513 - 2015 - The renaissance of ecosystem integrity in North American large rivers","interactions":[],"lastModifiedDate":"2015-03-19T13:13:06","indexId":"70143513","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The renaissance of ecosystem integrity in North American large rivers","docAbstract":"No abstract available.
","language":"English","publisher":"Society for Ecological Restoration","doi":"10.1111/rec.12175","usgsCitation":"Roseman, E., and DeBruyne, R.L., 2015, The renaissance of ecosystem integrity in North American large rivers: Restoration Ecology, v. 23, no. 1, p. 43-45, https://doi.org/10.1111/rec.12175.","productDescription":"3 p.","startPage":"43","endPage":"45","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061242","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":498909,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.12175","text":"Publisher Index Page"},{"id":298762,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","volume":"23","issue":"1","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-11","publicationStatus":"PW","scienceBaseUri":"550bf338e4b02e76d759ce02","contributors":{"authors":[{"text":"Roseman, Edward F. eroseman@usgs.gov","contributorId":139749,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","email":"eroseman@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":542737,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeBruyne, Robin L. 0000-0002-9232-7937 rdebruyne@usgs.gov","orcid":"https://orcid.org/0000-0002-9232-7937","contributorId":4936,"corporation":false,"usgs":true,"family":"DeBruyne","given":"Robin","email":"rdebruyne@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":542738,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70143514,"text":"70143514 - 2015 - Evidence of the St. Clair-Detroit River system as a dispersal corridor and nursery habitat for transient larval burbot","interactions":[],"lastModifiedDate":"2015-08-03T10:13:44","indexId":"70143514","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Evidence of the St. Clair-Detroit River system as a dispersal corridor and nursery habitat for transient larval burbot","docAbstract":"Burbot Lota lota are distributed across the Laurentian Great Lakes where they occupy a top piscivore role. The St. Clair-Detroit River System is known to provide a migration corridor as well as spawning and nursery habitat for many indigenous fishes of economic and ecological significance. However, knowledge is scant of the early life history of burbot and the importance of this system in their dispersal, survival, and recruitment. In order to assess the role of the St. Clair-Detroit River System to burbot ecology, we collected larval burbot during ichthyoplankton surveys in this system from 2010 to 2013 as part of a habitat restoration monitoring program. More and larger burbot larvae were found in the St. Clair River than in the lower Detroit River, although this may be due to differences in sampling methods between the two rivers. Consistent with existing studies, larval burbot exhibited ontogenesis with a distinct transition from a pelagic zooplankton-based diet to a benthic macroinvertebrate-based diet. Our results demonstrate that the St. Clair-Detroit Rivers provide food resources, required habitat, and a migration conduit between the upper and lower Great Lakes, but the contribution of these fish to the lower lakes requires further examination.
","language":"English","publisher":"Springer","doi":"10.1007/s10750-015-2179-3","usgsCitation":"McCullough, D.E., Roseman, E., Keeler, K.M., DeBruyne, R.L., Pritt, J.J., Thompson, P., Ireland, S., Ross, J.E., Bowser, D., Hunter, R.D., Castle, D., Fischer, J., and Provo, S.A., 2015, Evidence of the St. Clair-Detroit River system as a dispersal corridor and nursery habitat for transient larval burbot: Hydrobiologia, v. 757, no. 1, p. 21-34, https://doi.org/10.1007/s10750-015-2179-3.","productDescription":"14 p.","startPage":"21","endPage":"34","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059432","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":298759,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Huron-Erie Corridor","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": 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Previous comparisons of effectiveness of acoustic sampling and mist-net captures have not included Eastern Small-Footed Bat. Habitat requirements of this species differ from congeners in the region, and it is unclear whether survey protocols developed for other species are applicable. Using data from three overlapping studies at two sampling sites in western Virginia’s central Appalachian Mountains, detection probabilities were examined for three survey methods (acoustic surveys with automated identification of calls, visual searches of rock crevices, and mist-netting) for use in the development of “best practices” for future surveys and monitoring. Observer effects were investigated using an expanded version of visual search data. Results suggested that acoustic surveys with automated call identification are not effective for documenting presence of Eastern Small-Footed Bats on talus slopes (basal detection rate of 0%) even when the species is known to be present. The broadband, high frequency echolocation calls emitted by Eastern Small-Footed Bat may be prone to attenuation by virtue of their high frequencies, and these factors, along with signal reflection, lower echolocation rates or possible misidentification to other bat species over talus slopes may all have contributed to poor acoustic survey success. Visual searches and mist-netting of emergent rock had basal detection probabilities of 91% and 75%, respectively. Success of visual searches varied among observers, but detection probability improved with practice. Additionally, visual searches were considerably more economical than mist-netting.
","language":"English","publisher":"Virginia Academy of Science","usgsCitation":"Huth, J.K., Silvis, A., Moosman, P.R., Ford, W., and Sweeten, S.E., 2015, A comparison of survey methods for documenting presence of Myotis leibii (Eastern Small-Footed Bats) at roosting areas in Western Virginia: Virginia Journal of Science, v. 66, no. 4, p. 413-425.","productDescription":"Article 3; 13 p.","startPage":"413","endPage":"425","ipdsId":"IP-070984","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348734,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":348084,"type":{"id":15,"text":"Index Page"},"url":"https://digitalcommons.odu.edu/vjs/vol66/iss4/3"}],"volume":"66","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fec7e4b06e28e9c25355","contributors":{"authors":[{"text":"Huth, John K.","contributorId":200315,"corporation":false,"usgs":false,"family":"Huth","given":"John","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":721884,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Silvis, Alexander","contributorId":171585,"corporation":false,"usgs":false,"family":"Silvis","given":"Alexander","email":"","affiliations":[{"id":26923,"text":"Virginia Polytechnic Institute, Blacksburg, VA","active":true,"usgs":false}],"preferred":false,"id":721885,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moosman, Paul R. Jr.","contributorId":200316,"corporation":false,"usgs":false,"family":"Moosman","given":"Paul","suffix":"Jr.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":721886,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":719580,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sweeten, Sara E.","contributorId":191565,"corporation":false,"usgs":false,"family":"Sweeten","given":"Sara","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":721887,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70191102,"text":"70191102 - 2015 - Composite Sunrise Butte pluton: Insights into Jurassic–Cretaceous collisional tectonics and magmatism in the Blue Mountains Province, northeastern Oregon","interactions":[],"lastModifiedDate":"2020-12-18T15:17:50.459407","indexId":"70191102","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1727,"text":"GSA Special Papers","active":true,"publicationSubtype":{"id":10}},"title":"Composite Sunrise Butte pluton: Insights into Jurassic–Cretaceous collisional tectonics and magmatism in the Blue Mountains Province, northeastern Oregon","docAbstract":"The composite Sunrise Butte pluton, in the central part of the Blue Mountains Province, northeastern Oregon, preserves a record of subduction-related magmatism, arc-arc collision, crustal thickening, and deep-crustal anatexis. The earliest phase of the pluton (Desolation Creek unit) was generated in a subduction zone environment, as the oceanic lithosphere between the Wallowa and Olds Ferry island arcs was consumed. Zircons from this unit yielded a 206Pb/238U age of 160.2 ± 2.1 Ma. A magmatic lull ensued during arc-arc collision, after which partial melting at the base of the thickened Wallowa arc crust produced siliceous magma that was emplaced into metasedimentary rocks and serpentinite of the overthrust forearc complex. This magma crystallized to form the bulk of the Sunrise Butte composite pluton (the Sunrise Butte unit; 145.8 ± 2.2 Ma). The heat necessary for crustal anatexis was supplied by coeval mantle-derived magma (the Onion Gulch unit; 147.9 ± 1.8 Ma). The lull in magmatic activity between 160 and 148 Ma encompasses the timing of arc-arc collision (159-154 Ma), and it is similar to those lulls observed in adjacent areas of the Blue Mountains Province related to the same shortening event. Previous researchers have proposed a tectonic link between the Blue Mountains Province and the Klamath Mountains and northern Sierra Nevada Provinces farther to the south; however, timing of Late Jurassic deformation in the Blue Mountains Province predates the timing of the so-called Nevadan orogeny in the Klamath Mountains. In both the Blue Mountains Province and Klamath Mountains, the onset of deep-crustal partial melting initiated at ca. 148 Ma, suggesting a possible geodynamic link. One possibility is that the Late Jurassic shortening event recorded in the Blue Mountains Province may be a northerly extension of the Nevadan orogeny. Differences in the timing of these events in the Blue Mountains Province and the Klamath-Sierra Nevada Provinces suggest that shortening and deformation were diachronous, progressing from north to south. We envision that Late Jurassic deformation may have collapsed a Gulf of California-style oceanic extensional basin that extended from the Klamath Mountains (e.g., Josephine ophiolite) to the central Blue Mountains Province, and possibly as far north as the North Cascades (i.e., the coeval Ingalls ophiolite).
The lull in magmatic activity between 160 and 148 Ma encompasses the timing of arc-arc collision (159–154 Ma), and it is similar to those lulls observed in adjacent areas of the Blue Mountains Province related to the same shortening event. Previous researchers have proposed a tectonic link between the Blue Mountains Province and the Klamath Mountains and northern Sierra Nevada Provinces farther to the south; however, timing of Late Jurassic deformation in the Blue Mountains Province predates the timing of the so-called Nevadan orogeny in the Klamath Mountains. In both the Blue Mountains Province and Klamath Mountains, the onset of deep-crustal partial melting initiated at ca. 148 Ma, suggesting a possible geodynamic link. One possibility is that the Late Jurassic shortening event recorded in the Blue Mountains Province may be a northerly extension of the Nevadan orogeny. Differences in the timing of these events in the Blue Mountains Province and the Klamath–Sierra Nevada Provinces suggest that shortening and deformation were diachronous, progressing from north to south. We envision that Late Jurassic deformation may have collapsed a Gulf of California–style oceanic extensional basin that extended from the Klamath Mountains (e.g., Josephine ophiolite) to the central Blue Mountains Province, and possibly as far north as the North Cascades (i.e., the coeval Ingalls ophiolite).
","language":"English","publisher":"Geological Society of America","doi":"10.1130/2015.2513(10)","usgsCitation":"Johnson, K.H., Schwartz, J., Zak, J., Verner, K., Barnes, C.G., Walton, C., Wooden, J.L., Wright, J.E., and Kistler, R., 2015, Composite Sunrise Butte pluton: Insights into Jurassic–Cretaceous collisional tectonics and magmatism in the Blue Mountains Province, northeastern Oregon: GSA Special Papers, v. 513, p. 377-398, https://doi.org/10.1130/2015.2513(10).","productDescription":"22 p.","startPage":"377","endPage":"398","ipdsId":"IP-079965","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":346103,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Oregon","otherGeospatial":"Blue Mountains Province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.311279296875,\n 43.84245116699039\n ],\n [\n -116.04858398437499,\n 43.84245116699039\n ],\n [\n -116.04858398437499,\n 45.97406038956237\n ],\n [\n -120.311279296875,\n 45.97406038956237\n ],\n [\n -120.311279296875,\n 43.84245116699039\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"513","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59cb6735e4b017cf3141c6b1","contributors":{"authors":[{"text":"Johnson, Kenneth H. johnson@usgs.gov","contributorId":3103,"corporation":false,"usgs":true,"family":"Johnson","given":"Kenneth","email":"johnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":711219,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwartz, J.J.","contributorId":24572,"corporation":false,"usgs":true,"family":"Schwartz","given":"J.J.","email":"","affiliations":[],"preferred":false,"id":711220,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zak, Jiri","contributorId":196710,"corporation":false,"usgs":false,"family":"Zak","given":"Jiri","email":"","affiliations":[],"preferred":false,"id":711221,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Verner, Krystof","contributorId":196711,"corporation":false,"usgs":false,"family":"Verner","given":"Krystof","email":"","affiliations":[],"preferred":false,"id":711222,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barnes, Calvin G.","contributorId":36608,"corporation":false,"usgs":true,"family":"Barnes","given":"Calvin","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":711223,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walton, Clay","contributorId":196712,"corporation":false,"usgs":false,"family":"Walton","given":"Clay","email":"","affiliations":[],"preferred":false,"id":711224,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wooden, Joseph L.","contributorId":193587,"corporation":false,"usgs":false,"family":"Wooden","given":"Joseph","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":711225,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wright, James E.","contributorId":105648,"corporation":false,"usgs":true,"family":"Wright","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":711226,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kistler, Ronald W.","contributorId":56969,"corporation":false,"usgs":true,"family":"Kistler","given":"Ronald W.","affiliations":[],"preferred":false,"id":711227,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70193264,"text":"70193264 - 2015 - Reaction modeling of drainage quality in the Duluth Complex, northern Minnesota, USA","interactions":[],"lastModifiedDate":"2017-11-20T14:22:53","indexId":"70193264","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Reaction modeling of drainage quality in the Duluth Complex, northern Minnesota, USA","docAbstract":"Reaction modeling can be a valuable tool in predicting the long-term behavior of waste material if representative rate constants can be derived from long-term leaching tests or other approaches. Reaction modeling using the REACT program of the Geochemist’s Workbench was conducted to evaluate long-term drainage quality affected by disseminated Cu-Ni-(Co-)-PGM sulfide mineralization in the basal zone of the Duluth Complex where significant resources have been identified. Disseminated sulfide minerals, mostly pyrrhotite and Cu-Fe sulfides, are hosted by clinopyroxene-bearing troctolites. Carbonate minerals are scarce to non-existent. Long-term simulations of up to 20 years of weathering of tailings used two different sets of rate constants: one based on published laboratory single-mineral dissolution experiments, and one based on leaching experiments using bulk material from the Duluth Complex conducted by the Minnesota Department of Natural Resources (MNDNR). The simulations included only plagioclase, olivine, clinopyroxene, pyrrhotite, and water as starting phases. Dissolved oxygen concentrations were assumed to be in equilibrium with atmospheric oxygen. The simulations based on the published single-mineral rate constants predicted that pyrrhotite would be effectively exhausted in less than two years and pH would rise accordingly. In contrast, only 20 percent of the pyrrhotite was depleted after two years using the MNDNR rate constants. Predicted pyrrhotite depletion by the simulation based on the MNDNR rate constant matched well with published results of laboratory tests on tailings. Modeling long-term weathering of mine wastes also can provide important insights into secondary reactions that may influence the permeability of tailings and thereby affect weathering behavior. Both models predicted the precipitation of a variety of secondary phases including goethite, gibbsite, and clay (nontronite).
","conferenceTitle":"10th International Conference on Acid Rock Drainage & IMWA Annual Conference","language":"English","publisher":"IRWA","usgsCitation":"Seal, R.R., Lapakko, K., Piatak, N.M., and Woodruff, L.G., 2015, Reaction modeling of drainage quality in the Duluth Complex, northern Minnesota, USA, 10th International Conference on Acid Rock Drainage & IMWA Annual Conference, 10 p.","productDescription":"10 p.","ipdsId":"IP-063220","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":349147,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fec7e4b06e28e9c25357","contributors":{"authors":[{"text":"Seal, Robert R. 0000-0003-0901-2529 rseal@usgs.gov","orcid":"https://orcid.org/0000-0003-0901-2529","contributorId":193011,"corporation":false,"usgs":true,"family":"Seal","given":"Robert","email":"rseal@usgs.gov","middleInitial":"R.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":250,"text":"Eastern Water Science Field Team","active":true,"usgs":true}],"preferred":true,"id":718473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lapakko, Kim","contributorId":199239,"corporation":false,"usgs":false,"family":"Lapakko","given":"Kim","email":"","affiliations":[],"preferred":false,"id":718474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Piatak, Nadine M. 0000-0002-1973-8537 npiatak@usgs.gov","orcid":"https://orcid.org/0000-0002-1973-8537","contributorId":193010,"corporation":false,"usgs":true,"family":"Piatak","given":"Nadine","email":"npiatak@usgs.gov","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":718475,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woodruff, Laurel G. 0000-0002-2514-9923 woodruff@usgs.gov","orcid":"https://orcid.org/0000-0002-2514-9923","contributorId":2224,"corporation":false,"usgs":true,"family":"Woodruff","given":"Laurel","email":"woodruff@usgs.gov","middleInitial":"G.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":718476,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70191007,"text":"70191007 - 2015 - Combining state-and-transition simulations and species distribution models to anticipate the effects of climate change","interactions":[],"lastModifiedDate":"2017-09-20T14:54:24","indexId":"70191007","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3893,"text":"AIMS Environmental Science","active":true,"publicationSubtype":{"id":10}},"title":"Combining state-and-transition simulations and species distribution models to anticipate the effects of climate change","docAbstract":"State-and-transition simulation models (STSMs) are known for their ability to explore the combined effects of multiple disturbances, ecological dynamics, and management actions on vegetation. However, integrating the additional impacts of climate change into STSMs remains a challenge. We address this challenge by combining an STSM with species distribution modeling (SDM). SDMs estimate the probability of occurrence of a given species based on observed presence and absence locations as well as environmental and climatic covariates. Thus, in order to account for changes in habitat suitability due to climate change, we used SDM to generate continuous surfaces of species occurrence probabilities. These data were imported into ST-Sim, an STSM platform, where they dictated the probability of each cell transitioning between alternate potential vegetation types at each time step. The STSM was parameterized to capture additional processes of vegetation growth and disturbance that are relevant to a keystone species in the Greater Yellowstone Ecosystem—whitebark pine (Pinus albicaulis). We compared historical model runs against historical observations of whitebark pine and a key disturbance agent (mountain pine beetle, Dendroctonus ponderosae), and then projected the simulation into the future. Using this combination of correlative and stochastic simulation models, we were able to reproduce historical observations and identify key data gaps. Results indicated that SDMs and STSMs are complementary tools, and combining them is an effective way to account for the anticipated impacts of climate change, biotic interactions, and disturbances, while also allowing for the exploration of management options.
","language":"English","publisher":"AIM Press","doi":"10.3934/environsci.2015.2.400","usgsCitation":"Miller, B.W., Frid, L., Chang, T., Piekielek, N.B., Hansen, A.J., and Morisette, J.T., 2015, Combining state-and-transition simulations and species distribution models to anticipate the effects of climate change: AIMS Environmental Science, v. 2, no. 2, p. 400-426, https://doi.org/10.3934/environsci.2015.2.400.","productDescription":"27 p.","startPage":"400","endPage":"426","ipdsId":"IP-065083","costCenters":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true}],"links":[{"id":472396,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3934/environsci.2015.2.400","text":"Publisher Index Page"},{"id":345943,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59c37e3be4b091459a631703","contributors":{"authors":[{"text":"Miller, Brian W. 0000-0003-1716-1161","orcid":"https://orcid.org/0000-0003-1716-1161","contributorId":196603,"corporation":false,"usgs":true,"family":"Miller","given":"Brian","email":"","middleInitial":"W.","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":710899,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frid, Leonardo","contributorId":196604,"corporation":false,"usgs":false,"family":"Frid","given":"Leonardo","email":"","affiliations":[],"preferred":false,"id":710900,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chang, Tony","contributorId":191992,"corporation":false,"usgs":false,"family":"Chang","given":"Tony","email":"","affiliations":[],"preferred":false,"id":710901,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Piekielek, N. B.","contributorId":127648,"corporation":false,"usgs":false,"family":"Piekielek","given":"N.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":710902,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hansen, Andrew J.","contributorId":196605,"corporation":false,"usgs":false,"family":"Hansen","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":710903,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morisette, Jeffrey T. 0000-0002-0483-0082 morisettej@usgs.gov","orcid":"https://orcid.org/0000-0002-0483-0082","contributorId":307,"corporation":false,"usgs":true,"family":"Morisette","given":"Jeffrey","email":"morisettej@usgs.gov","middleInitial":"T.","affiliations":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":710898,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70191918,"text":"70191918 - 2015 - An integrated approach to modeling changes in land use, land cover, and disturbance and their impact on ecosystem carbon dynamics: a case study in the Sierra Nevada Mountains of California","interactions":[],"lastModifiedDate":"2017-10-19T13:04:58","indexId":"70191918","displayToPublicDate":"2015-01-01T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3893,"text":"AIMS Environmental Science","active":true,"publicationSubtype":{"id":10}},"title":"An integrated approach to modeling changes in land use, land cover, and disturbance and their impact on ecosystem carbon dynamics: a case study in the Sierra Nevada Mountains of California","docAbstract":"Increased land-use intensity (e.g. clearing of forests for cultivation, urbanization), often results in the loss of ecosystem carbon storage, while changes in productivity resulting from climate change may either help offset or exacerbate losses. However, there are large uncertainties in how land and climate systems will evolve and interact to shape future ecosystem carbon dynamics. To address this we developed the Land Use and Carbon Scenario Simulator (LUCAS) to track changes in land use, land cover, land management, and disturbance, and their impact on ecosystem carbon storage and flux within a scenario-based framework. We have combined a state-and-transition simulation model (STSM) of land change with a stock and flow model of carbon dynamics. Land-change projections downscaled from the Intergovernmental Panel on Climate Change’s (IPCC) Special Report on Emission Scenarios (SRES) were used to drive changes within the STSM, while the Integrated Biosphere Simulator (IBIS) ecosystem model was used to derive input parameters for the carbon stock and flow model. The model was applied to the Sierra Nevada Mountains ecoregion in California, USA, a region prone to large wildfires and a forestry sector projected to intensify over the next century. Three scenario simulations were conducted, including a calibration scenario, a climate-change scenario, and an integrated climate- and land-change scenario. Based on results from the calibration scenario, the LUCAS age-structured carbon accounting model was able to accurately reproduce results obtained from the process-based biogeochemical model. Under the climate-only scenario, the ecoregion was projected to be a reliable net sink of carbon, however, when land use and disturbance were introduced, the ecoregion switched to become a net source. This research demonstrates how an integrated approach to carbon accounting can be used to evaluate various drivers of ecosystem carbon change in a robust, yet transparent modeling environment.
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