{"pageNumber":"1021","pageRowStart":"25500","pageSize":"25","recordCount":165496,"records":[{"id":70178721,"text":"70178721 - 2016 - Application of decision science to resilience management in Jamaica Bay","interactions":[],"lastModifiedDate":"2017-03-28T09:02:12","indexId":"70178721","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Application of decision science to resilience management in Jamaica Bay","docAbstract":"This book highlights the growing interest in management interventions designed to enhance the resilience of the Jamaica Bay socio-ecological system.  Effective management, whether the focus is on managing biological processes or human behavior or (most likely) both, requires decision makers to anticipate how the managed system will respond to interventions (i.e., via predictions or projections).  In systems characterized by many interacting components and high uncertainty, making probabilistic predictions is often difficult and requires careful thinking not only about system dynamics, but also about how management objectives are specified and the analytic method used to select the preferred action(s).  Developing a clear statement of the problem(s) and articulation of management objectives is often best achieved by including input from managers, scientists and other stakeholders affected by the decision through a process of joint problem framing (Marcot and others 2012; Keeney and others 1990).  Using a deliberate, coherent and transparent framework for deciding among management alternatives to best meet these objectives then ensures a greater likelihood for successful intervention. Decision science provides the theoretical and practical basis for developing this framework and applying decision analysis methods for making complex decisions under uncertainty and risk.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Prospects for resilience: Insights from New York City's Jamaica Bay ","language":"English","publisher":"Island Press","publisherLocation":"Washington, D.C.","usgsCitation":"Eaton, M.J., Fuller, A.K., Johnson, F.A., Hare, M.P., and Stedman, R.C., 2016, Application of decision science to resilience management in Jamaica Bay, chap. <i>of</i> Prospects for resilience: Insights from New York City's Jamaica Bay , p. 217-237.","productDescription":"21 p.","startPage":"217","endPage":"237","ipdsId":"IP-065041","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":335784,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":338435,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://islandpress.org/book/prospects-for-resilience"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58a6c82ee4b025c46428626e","contributors":{"editors":[{"text":"Sanderson, E.W.","contributorId":6413,"corporation":false,"usgs":true,"family":"Sanderson","given":"E.W.","email":"","affiliations":[],"preferred":false,"id":686468,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Solecki, W. D.","contributorId":189916,"corporation":false,"usgs":false,"family":"Solecki","given":"W.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":686469,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Waldman, J.R.","contributorId":85919,"corporation":false,"usgs":true,"family":"Waldman","given":"J.R.","email":"","affiliations":[],"preferred":false,"id":686470,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Paris, A. S.","contributorId":189917,"corporation":false,"usgs":false,"family":"Paris","given":"A.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":686471,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Eaton, Mitchell J. 0000-0001-7324-6333 meaton@usgs.gov","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":169429,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell","email":"meaton@usgs.gov","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":654914,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":654915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":654913,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hare, M. P.","contributorId":189915,"corporation":false,"usgs":false,"family":"Hare","given":"M.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":686467,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stedman, Richard C.","contributorId":171461,"corporation":false,"usgs":false,"family":"Stedman","given":"Richard","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":654916,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70180259,"text":"70180259 - 2016 - Biodynamics of copper oxide nanoparticles and copper ions in an oligochaete - Part II: Subcellular distribution following sediment exposure","interactions":[],"lastModifiedDate":"2017-01-26T13:25:55","indexId":"70180259","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":874,"text":"Aquatic Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Biodynamics of copper oxide nanoparticles and copper ions in an oligochaete - Part II: Subcellular distribution following sediment exposure","docAbstract":"<p><span>The use and likely incidental release of metal nanoparticles (NPs) is steadily increasing. Despite the increasing amount of published literature on metal NP toxicity in the aquatic environment, very little is known about the biological fate of NPs after sediment exposures. Here, we compare the bioavailability and subcellular distribution of copper oxide (CuO) NPs and aqueous Cu (Cu-Aq) in the sediment-dwelling worm </span><i>Lumbriculus variegatus.</i><span> Ten days (d) sediment exposure resulted in marginal Cu bioaccumulation in </span><i>L. variegatus</i><span> for both forms of Cu. Bioaccumulation was detected because isotopically enriched </span><sup>65</sup><span>Cu was used as a tracer. Neither burrowing behavior or survival was affected by the exposure. Once incorporated into tissue, Cu loss was negligible over 10 d of elimination in clean sediment (Cu elimination rate constants were not different from zero). With the exception of day 10, differences in bioaccumulation and subcellular distribution between Cu forms were either not detectable or marginal. After 10 d of exposure to Cu-Aq, the accumulated Cu was primarily partitioned in the subcellular fraction containing metallothionein-like proteins (MTLP, ≈40%) and cellular debris (CD, ≈30%). Cu concentrations in these fractions were significantly higher than in controls. For worms exposed to CuO NPs for 10 d, most of the accumulated Cu was partitioned in the CD fraction (≈40%), which was the only subcellular fraction where the Cu concentration was significantly higher than for the control group. Our results indicate that </span><i>L. variegatus</i><span> handle the two Cu forms differently. However, longer-term exposures are suggested in order to clearly highlight differences in the subcellular distribution of these two Cu forms.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.aquatox.2016.08.011","usgsCitation":"Thit, A., Ramskov, T., Croteau, M.N., and Selck, H., 2016, Biodynamics of copper oxide nanoparticles and copper ions in an oligochaete - Part II: Subcellular distribution following sediment exposure: Aquatic Toxicology, v. 180, p. 25-35, https://doi.org/10.1016/j.aquatox.2016.08.011.","productDescription":"11 p.","startPage":"25","endPage":"35","ipdsId":"IP-072865","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":334060,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"180","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"588b1977e4b0ad67323f97e4","contributors":{"authors":[{"text":"Thit, Amalie","contributorId":141022,"corporation":false,"usgs":false,"family":"Thit","given":"Amalie","email":"","affiliations":[{"id":13657,"text":"Department of Environmental, Social and Spatial Change, Roskilde University, Denmark","active":true,"usgs":false}],"preferred":false,"id":660968,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramskov, Tina","contributorId":140202,"corporation":false,"usgs":false,"family":"Ramskov","given":"Tina","email":"","affiliations":[{"id":13410,"text":"Department of Environmental, Social and Spatial Change, Roskilde University, PO Box 260, Universitetsvej 1, DK-4000 Roskilde, Denmark","active":true,"usgs":false}],"preferred":false,"id":660969,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Croteau, Marie Noele 0000-0003-0346-3580 mcroteau@usgs.gov","orcid":"https://orcid.org/0000-0003-0346-3580","contributorId":895,"corporation":false,"usgs":true,"family":"Croteau","given":"Marie","email":"mcroteau@usgs.gov","middleInitial":"Noele","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":660967,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Selck, Henriette","contributorId":28475,"corporation":false,"usgs":false,"family":"Selck","given":"Henriette","affiliations":[{"id":13410,"text":"Department of Environmental, Social and Spatial Change, Roskilde University, PO Box 260, Universitetsvej 1, DK-4000 Roskilde, Denmark","active":true,"usgs":false}],"preferred":false,"id":660970,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193716,"text":"70193716 - 2016 - Holocene volcanism of the upper McKenzie River catchment, central Oregon Cascades, USA","interactions":[],"lastModifiedDate":"2017-11-05T17:41:42","indexId":"70193716","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Holocene volcanism of the upper McKenzie River catchment, central Oregon Cascades, USA","docAbstract":"<p>To assess the complexity of eruptive activity within mafic volcanic fields, we present a detailed geologic investigation of Holocene volcanism in the upper McKenzie River catchment in the central Oregon Cascades, United States. We focus on the Sand Mountain volcanic field, which covers 76 km<sup>2</sup> and consists of 23 vents, associated tephra deposits, and lava fields. We find that the Sand Mountain volcanic field was active for a few decades around 3 ka and involved at least 13 eruptive units. Despite the small total volume erupted (∼1 km<sup>3</sup> dense rock equivalent [DRE]), Sand Mountain volcanic field lava geochemistry indicates that erupted magmas were derived from at least two, and likely three, different magma sources. Single units erupted from one or more vents, and field data provide evidence of both vent migration and reoccupation. Overall, our study shows that mafic volcanism was clustered in space and time, involved both explosive and effusive behavior, and tapped several magma sources. These observations provide important insights on possible future hazards from mafic volcanism in the central Oregon Cascades.</p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/B31405.1","usgsCitation":"Deligne, N.I., Conrey, R.M., Cashman, K.V., Champion, D.E., and Amidon, W.H., 2016, Holocene volcanism of the upper McKenzie River catchment, central Oregon Cascades, USA: Geological Society of America Bulletin, v. 128, no. 11-12, p. 1618-1635, https://doi.org/10.1130/B31405.1.","productDescription":"17 p.","startPage":"1618","endPage":"1635","ipdsId":"IP-069303","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":348199,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"128","issue":"11-12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-11","publicationStatus":"PW","scienceBaseUri":"5a003151e4b0531197b5a752","contributors":{"authors":[{"text":"Deligne, Natalia I.","contributorId":194343,"corporation":false,"usgs":false,"family":"Deligne","given":"Natalia","email":"","middleInitial":"I.","affiliations":[{"id":13025,"text":"Department of Geological Sciences, University of Oregon","active":true,"usgs":false}],"preferred":false,"id":720031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conrey, Richard M.","contributorId":194345,"corporation":false,"usgs":false,"family":"Conrey","given":"Richard","email":"","middleInitial":"M.","affiliations":[{"id":13203,"text":"School of the Environment, Washington State University","active":true,"usgs":false}],"preferred":false,"id":720032,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cashman, Katharine V.","contributorId":199542,"corporation":false,"usgs":false,"family":"Cashman","given":"Katharine","email":"","middleInitial":"V.","affiliations":[{"id":13025,"text":"Department of Geological Sciences, University of Oregon","active":true,"usgs":false}],"preferred":false,"id":720033,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Champion, Duane E. 0000-0001-7854-9034 dchamp@usgs.gov","orcid":"https://orcid.org/0000-0001-7854-9034","contributorId":2912,"corporation":false,"usgs":true,"family":"Champion","given":"Duane","email":"dchamp@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":720030,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Amidon, William H.","contributorId":199781,"corporation":false,"usgs":false,"family":"Amidon","given":"William","email":"","middleInitial":"H.","affiliations":[{"id":27844,"text":"Middlebury College","active":true,"usgs":false}],"preferred":false,"id":720034,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192022,"text":"70192022 - 2016 - Microrefuges and the occurrence of thermal specialists: implications for wildlife persistence amidst changing temperatures","interactions":[],"lastModifiedDate":"2017-10-19T15:05:42","indexId":"70192022","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5385,"text":"Climate Change Responses","active":true,"publicationSubtype":{"id":10}},"title":"Microrefuges and the occurrence of thermal specialists: implications for wildlife persistence amidst changing temperatures","docAbstract":"<div id=\"ASec1\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Background</strong></p><p id=\"Par1\" class=\"Para\">Contemporary climate change is affecting nearly all biomes, causing shifts in animal distributions, phenology, and persistence. Favorable microclimates may buffer organisms against rapid changes in climate, thereby allowing time for populations to adapt. The degree to which microclimates facilitate the local persistence of climate-sensitive species, however, is largely an open question. We addressed the importance of microrefuges in mammalian thermal specialists, using the American pika (<i class=\"EmphasisTypeItalic\">Ochotona princeps</i>) as a model organism. Pikas are sensitive to ambient temperatures, and are active year-round in the alpine where conditions are highly variable. We tested four hypotheses about the relationship between microrefuges and pika occurrence: 1) Local-habitat Hypothesis (local-habitat conditions are paramount, regardless of microrefuge); 2) Surface-temperature Hypothesis (surrounding temperatures, unmoderated by microrefuge, best predict occurrence); 3) Interstitial-temperature Hypothesis (temperatures within microrefuges best predict occurrence), and 4) Microrefuge Hypothesis (the degree to which microrefuges moderate the surrounding temperature facilitates occurrence, regardless of other habitat characteristics). We examined pika occurrence at 146 sites across an elevational gradient. We quantified pika presence, physiographic habitat characteristics and forage availability at each site, and deployed paired temperature loggers at a subset of sites to measure surface and subterranean temperatures.</p></div><div id=\"ASec2\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Results</strong></p><p id=\"Par2\" class=\"Para\">We found strong support for the Microrefuge Hypothesis. Pikas were more likely to occur at sites where the subsurface environment substantially moderated surface temperatures, especially during the warm season. Microrefugium was the strongest predictor of pika occurrence, independent of other critical habitat characteristics, such as forage availability.</p></div><div id=\"ASec3\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Conclusions</strong></p><p id=\"Par3\" class=\"Para\">By modulating surface temperatures, microrefuges may strongly influence where temperature-limited animals persist in rapidly warming environments. As climate change continues to manifest, efforts to understand the changing dynamics of animal-habitat relationships will be enhanced by considering the quality of microrefuges.</p></div>","language":"English","publisher":"BioMed Central","doi":"10.1186/s40665-016-0021-4","usgsCitation":"Hall, L., Chalfoun, A.D., Beever, E., and Loosen, A.E., 2016, Microrefuges and the occurrence of thermal specialists: implications for wildlife persistence amidst changing temperatures: Climate Change Responses, v. 3, no. 8, p. 1-12, https://doi.org/10.1186/s40665-016-0021-4.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-065951","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470515,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40665-016-0021-4","text":"Publisher Index Page"},{"id":346994,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-19","publicationStatus":"PW","scienceBaseUri":"59e9b997e4b05fe04cd65cc7","contributors":{"authors":[{"text":"Hall, L. Embere","contributorId":194654,"corporation":false,"usgs":false,"family":"Hall","given":"L. Embere","affiliations":[],"preferred":false,"id":713854,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chalfoun, Anna D. 0000-0002-0219-6006 achalfoun@usgs.gov","orcid":"https://orcid.org/0000-0002-0219-6006","contributorId":197589,"corporation":false,"usgs":true,"family":"Chalfoun","given":"Anna","email":"achalfoun@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":713853,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beever, Erik A. 0000-0002-9369-486X ebeever@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-486X","contributorId":147685,"corporation":false,"usgs":true,"family":"Beever","given":"Erik A.","email":"ebeever@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":5072,"text":"Office of Communication and Publishing","active":true,"usgs":true}],"preferred":true,"id":713855,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loosen, Anne E.","contributorId":194655,"corporation":false,"usgs":false,"family":"Loosen","given":"Anne","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":713856,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70191147,"text":"70191147 - 2016 - Assessing the role of climate and resource management on groundwater dependent ecosystem changes in arid environments with the Landsat archive","interactions":[],"lastModifiedDate":"2017-09-27T17:15:13","indexId":"70191147","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the role of climate and resource management on groundwater dependent ecosystem changes in arid environments with the Landsat archive","docAbstract":"<p><span>Groundwater dependent ecosystems (GDEs) rely on near-surface groundwater. These systems are receiving more attention with rising air temperature, prolonged drought, and where groundwater pumping captures natural groundwater discharge for anthropogenic use. Phreatophyte shrublands, meadows, and riparian areas are GDEs that provide critical habitat for many sensitive species, especially in arid and semi-arid environments. While GDEs are vital for ecosystem services and function, their long-term (i.e. ~</span><span>&nbsp;</span><span>30</span><span>&nbsp;</span><span>years) spatial and temporal variability is poorly understood with respect to local and regional scale climate, groundwater, and rangeland management. In this work, we compute time series of NDVI derived from sensors of the Landsat TM, ETM</span><span>&nbsp;</span><span>+, and OLI lineage for assessing GDEs in a variety of land and water management contexts. Changes in vegetation vigor based on climate, groundwater availability, and land management in arid landscapes are detectable with Landsat. However, the effective quantification of these ecosystem changes can be undermined if changes in spectral bandwidths between different Landsat sensors introduce biases in derived vegetation indices, and if climate, and land and water management histories are not well understood. The objective of this work is to 1) use the Landsat 8 under-fly dataset to quantify differences in spectral reflectance and NDVI between Landsat 7 ETM</span><span>&nbsp;</span><span>+ and Landsat 8 OLI for a range of vegetation communities in arid and semiarid regions of the southwestern United States, and 2) demonstrate the value of 30-year historical vegetation index and climate datasets for assessing GDEs. Specific study areas were chosen to represent a range of GDEs and environmental conditions important for three scenarios: baseline monitoring of vegetation and climate, riparian restoration, and groundwater level changes. Google's Earth Engine cloud computing and environmental monitoring platform is used to rapidly access and analyze the Landsat archive along with downscaled North American Land Data Assimilation System gridded meteorological data, which are used for both atmospheric correction and correlation analysis. Results from the cross-sensor comparison indicate a benefit from the application of a consistent atmospheric correction method, and that NDVI derived from Landsat 7 and 8 are very similar within the study area. Results from continuous Landsat time series analysis clearly illustrate that there are strong correlations between changes in vegetation vigor, precipitation, evaporative demand, depth to groundwater, and riparian restoration. Trends in summer NDVI associated with riparian restoration and groundwater level changes were found to be statistically significant, and interannual summer NDVI was found to be moderately correlated to interannual water-year precipitation for baseline study sites. Results clearly highlight the complementary relationship between water-year PPT, NDVI, and evaporative demand, and are consistent with regional vegetation index and complementary relationship studies. This work is supporting land and water managers for evaluation of GDEs with respect to climate, groundwater, and resource management.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2016.07.004","usgsCitation":"Huntington, J., McGwire, K.C., Morton, C., Snyder, K.A., Peterson, S., Erickson, T., Niswonger, R., Carroll, R.W., Smith, G., and Allen, R., 2016, Assessing the role of climate and resource management on groundwater dependent ecosystem changes in arid environments with the Landsat archive: Remote Sensing of Environment, v. 185, p. 186-197, https://doi.org/10.1016/j.rse.2016.07.004.","productDescription":"12 p.","startPage":"186","endPage":"197","ipdsId":"IP-072882","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":470547,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2016.07.004","text":"Publisher Index Page"},{"id":346143,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"185","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59ccb8a6e4b017cf314383de","contributors":{"authors":[{"text":"Huntington, Justin","contributorId":33413,"corporation":false,"usgs":true,"family":"Huntington","given":"Justin","affiliations":[],"preferred":false,"id":711359,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGwire, Kenneth C.","contributorId":140699,"corporation":false,"usgs":false,"family":"McGwire","given":"Kenneth","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":711360,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morton, Charles","contributorId":178787,"corporation":false,"usgs":false,"family":"Morton","given":"Charles","affiliations":[],"preferred":false,"id":711361,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Snyder, Keirith A.","contributorId":178786,"corporation":false,"usgs":false,"family":"Snyder","given":"Keirith","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":711362,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peterson, Sarah","contributorId":196734,"corporation":false,"usgs":false,"family":"Peterson","given":"Sarah","affiliations":[],"preferred":false,"id":711363,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Erickson, Tyler","contributorId":196735,"corporation":false,"usgs":false,"family":"Erickson","given":"Tyler","affiliations":[],"preferred":false,"id":711364,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Niswonger, Richard G. rniswon@usgs.gov","contributorId":140377,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard G.","email":"rniswon@usgs.gov","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":false,"id":711365,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Carroll, Rosemary W.H.","contributorId":39928,"corporation":false,"usgs":true,"family":"Carroll","given":"Rosemary","email":"","middleInitial":"W.H.","affiliations":[],"preferred":false,"id":711366,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Smith, Guy","contributorId":196736,"corporation":false,"usgs":false,"family":"Smith","given":"Guy","email":"","affiliations":[],"preferred":false,"id":711367,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Allen, Richard","contributorId":86694,"corporation":false,"usgs":true,"family":"Allen","given":"Richard","affiliations":[],"preferred":false,"id":711368,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70193096,"text":"70193096 - 2016 - Evaluation of fisher (Pekania pennanti) restoration in Olympic National Park and the Olympic Recovery Area: 2015 final annual progress report","interactions":[],"lastModifiedDate":"2017-11-27T14:59:21","indexId":"70193096","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","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/OLYM/NRR—2016/1274","displayTitle":"Evaluation of fisher (<i>Pekania pennanti</i>) restoration in Olympic National Park and the Olympic Recovery Area: 2015 final annual progress report","title":"Evaluation of fisher (Pekania pennanti) restoration in Olympic National Park and the Olympic Recovery Area: 2015 final annual progress report","docAbstract":"<p>With the translocation and release of 90 fishers (Pekania pennanti) from British Columbia to Olympic National Park during 2008–2010, the National Park Service (NPS) and Washington Department of Fish and Wildlife (WDFW) accomplished the first phase of fisher restoration in Washington State. Beginning in 2013, we initiated a new research project to determine the current status of fishers on Washington’s Olympic Peninsula 3–8 years after the releases and evaluate the short-term success of the restoration program. Objectives of the study are to determine the current distribution of fishers and proportion of the recovery area that is currently occupied by fishers, determine several genetic characteristics of the reintroduced population, and determine reproductive success of the founding animals through genetic studies. </p><p>During 2015, we continued working with a broad coalition of cooperating agencies, tribes, and nongovernmental organizations (NGO) to collect data on fisher distribution and genetics using noninvasive sampling methods. The primary sampling frame consisted of 157 24-km2 hexagons (hexes) distributed across all major land ownerships within the Olympic Peninsula target survey area. In 2014 we expanded the study by adding 58 more hexes to an expanded study area in response to incidental fisher observations outside of the target area obtained in 2013; 49 hexes were added south and 9 to the east of the target area. During 2015, Federal, State, Tribal and NGO biologists and volunteers established three Distributioned motion-sensing camera stations, paired with hair snaring devices, in 87 hexes; 75 in the targeted area and 12 in the expansion areas. Each paired camera/hair station was left in place for approximately 6 weeks, with three checks on 2-week intervals. We documented fisher presence in 7 of the 87 hexagons. Four fishers were identified through microsatellite DNA analyses. The 4 identified fishers included 1 of the original founding population of 90 and 3 new recruits to the population. Three additional fishers were detected with cameras but not DNA, consequently their identities were unknown. All fisher detections were in the target area. Additionally, we identified 46 other species of wildlife at the baited camera stations. We also obtained 4 additional confirmed records of fishers in the study area through photographs provided by the public and incidental live capture. </p><p>During 2016, we plan to resample 69 hexagons sampled in the target area in 2014 and 12 new hexes in the expansion area. In addition, we plan to sample non-selected hexes in-between hexes where we had a cluster of fishers in 2014, to provide better understanding of occupancy patterns and minimum number of individuals in an area where fishers appear to be concentrating. </p>","language":"English","publisher":"National Park Service","publisherLocation":"Fort Collins, CO","usgsCitation":"Happe, P.J., Jenkins, K.J., Kay, T.J., Pilgrim, K., Schwartz, M.K., Lewis, J.C., and Aubry, K.B., 2016, Evaluation of fisher (Pekania pennanti) restoration in Olympic National Park and the Olympic Recovery Area: 2015 final annual progress report: Natural Resource Report NPS/OLYM/NRR—2016/1274, ix, 34 p.","productDescription":"ix, 34 p.","numberOfPages":"48","ipdsId":"IP-088873","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science 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kurt_jenkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1415-6607","contributorId":3415,"corporation":false,"usgs":true,"family":"Jenkins","given":"Kurt","email":"kurt_jenkins@usgs.gov","middleInitial":"J.","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":717967,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kay, Thomas J.","contributorId":141089,"corporation":false,"usgs":false,"family":"Kay","given":"Thomas","email":"","middleInitial":"J.","affiliations":[{"id":7237,"text":"NPS, Olympic National Park","active":true,"usgs":false}],"preferred":false,"id":717969,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pilgrim, Kristie","contributorId":199034,"corporation":false,"usgs":false,"family":"Pilgrim","given":"Kristie","email":"","affiliations":[],"preferred":false,"id":717970,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schwartz, Michael K.","contributorId":199035,"corporation":false,"usgs":false,"family":"Schwartz","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":717971,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lewis, Jeffrey C.","contributorId":141090,"corporation":false,"usgs":false,"family":"Lewis","given":"Jeffrey","email":"","middleInitial":"C.","affiliations":[{"id":13674,"text":"WDFW","active":true,"usgs":false}],"preferred":false,"id":717972,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Aubry, Keith B.","contributorId":141091,"corporation":false,"usgs":false,"family":"Aubry","given":"Keith","email":"","middleInitial":"B.","affiliations":[{"id":7134,"text":"USFS","active":true,"usgs":false}],"preferred":false,"id":717973,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70194308,"text":"70194308 - 2016 - Mid-21st-century climate changes increase predicted fire occurrence and fire season length, Northern Rocky Mountains, United States","interactions":[],"lastModifiedDate":"2017-11-22T11:48:40","indexId":"70194308","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Mid-21st-century climate changes increase predicted fire occurrence and fire season length, Northern Rocky Mountains, United States","docAbstract":"<p><span>Climate changes are expected to increase fire frequency, fire season length, and cumulative area burned in the western United States. We focus on the potential impact of mid-21st-century climate changes on annual burn probability, fire season length, and large fire characteristics including number and size for a study area in the Northern Rocky Mountains. Although large fires are rare they account for most of the area burned in western North America, burn under extreme weather conditions, and exhibit behaviors that preclude methods of direct control. Allocation of resources, development of management plans, and assessment of fire effects on ecosystems all require an understanding of when and where fires are likely to burn, particularly under altered climate regimes that may increase large fire occurrence. We used the large fire simulation model FSim to model ignition, growth, and containment of wildfires under two climate scenarios: contemporary (based on instrumental weather) and mid-century (based on an ensemble average of global climate models driven by the A1B SRES emissions scenario). Modeled changes in fire patterns include increased annual burn probability, particularly in areas of the study region with relatively short contemporary fire return intervals; increased individual fire size and annual area burned; and fewer years without large fires. High fire danger days, represented by threshold values of Energy Release Component (ERC), are projected to increase in number, especially in spring and fall, lengthening the climatic fire season. For fire managers, ERC is an indicator of fire intensity potential and fire economics, with higher ERC thresholds often associated with larger, more expensive fires. Longer periods of elevated ERC may significantly increase the cost and complexity of fire management activities, requiring new strategies to maintain desired ecological conditions and limit fire risk. Increased fire activity (within the historical range of frequency and severity, and depending on the extent to which ecosystems are adapted) may maintain or restore ecosystem functionality; however, in areas that are highly departed from historical fire regimes or where there is disequilibrium between climate and vegetation, ecosystems may be rapidly and persistently altered by wildfires, especially those that burn under extreme conditions.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1543","usgsCitation":"Riley, K.L., and Loehman, R.A., 2016, Mid-21st-century climate changes increase predicted fire occurrence and fire season length, Northern Rocky Mountains, United States: Ecosphere, v. 7, no. 11, e01543; 19 p., https://doi.org/10.1002/ecs2.1543.","productDescription":"e01543; 19 p.","ipdsId":"IP-076686","costCenters":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"links":[{"id":470467,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1543","text":"Publisher Index Page"},{"id":349271,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Idaho Panhandle National Forest, Nez Perce-Clearwater National Forest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.04833984375001,\n              45.058001435398275\n            ],\n            [\n              -113.66455078125,\n              45.058001435398275\n            ],\n            [\n              -113.66455078125,\n              48.980216985374994\n            ],\n            [\n              -117.04833984375001,\n              48.980216985374994\n            ],\n            [\n              -117.04833984375001,\n              45.058001435398275\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"7","issue":"11","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-08","publicationStatus":"PW","scienceBaseUri":"5a60fc9ce4b06e28e9c24048","contributors":{"authors":[{"text":"Riley, Karin L.","contributorId":169453,"corporation":false,"usgs":false,"family":"Riley","given":"Karin","email":"","middleInitial":"L.","affiliations":[{"id":25512,"text":"US Forest Service Fire Science Lab","active":true,"usgs":false}],"preferred":false,"id":723212,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loehman, Rachel A. 0000-0001-7680-1865 rloehman@usgs.gov","orcid":"https://orcid.org/0000-0001-7680-1865","contributorId":187605,"corporation":false,"usgs":true,"family":"Loehman","given":"Rachel","email":"rloehman@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":false,"id":723211,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70178041,"text":"70178041 - 2016 - Effectiveness of vegetation buffers surrounding playa wetlands at contaminant and sediment amelioration","interactions":[],"lastModifiedDate":"2016-11-01T13:01:49","indexId":"70178041","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Effectiveness of vegetation buffers surrounding playa wetlands at contaminant and sediment amelioration","docAbstract":"<p><span>Playa wetlands, the dominant hydrological feature of the semi-arid U.S. High Plains providing critical ecosystem services, are being lost and degraded due to anthropogenic alterations of the short-grass prairie landscape. The primary process contributing to the loss of playas is filling of the wetland through accumulation of soil eroded and transported by precipitation from surrounding cultivated watersheds. We evaluated effectiveness of vegetative buffers surrounding playas in removing metals, nutrients, and dissolved/suspended sediments from precipitation runoff. Storm water runoff was collected at 10-m intervals in three buffer types (native grass, fallow cropland, and Conservation Reserve Program). Buffer type differed in plant composition, but not in maximum percent removal of contaminants. Within the initial 60&nbsp;m from a cultivated field, vegetation buffers of all types removed &gt;50% of all measured contaminants, including 83% of total suspended solids (TSS) and 58% of total dissolved solids (TDS). Buffers removed an average of 70% of P and 78% of N to reduce nutrients entering the playa. Mean maximum percent removal for metals ranged from 56% of Na to 87% of Cr. Maximum removal was typically at 50&nbsp;m of buffer width. Measures of TSS were correlated with all measures of metals and nutrients except for N, which was correlated with TDS. Any buffer type with &gt;80% vegetation cover and 30–60&nbsp;m in width would maximize contaminant removal from precipitation runoff while ensuring that playas would continue to function hydrologically to provide ecosystem services. Watershed management to minimize erosion and creations of vegetation buffers could be economical and effective conservation tools for playa wetlands.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2016.07.011","usgsCitation":"Haukos, D.A., Johnson, L.A., Smith, L., and McMurry, S.T., 2016, Effectiveness of vegetation buffers surrounding playa wetlands at contaminant and sediment amelioration: Journal of Environmental Management, v. 181, p. 552-562, https://doi.org/10.1016/j.jenvman.2016.07.011.","productDescription":"11 p.","startPage":"552","endPage":"562","ipdsId":"IP-068762","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":470475,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2016.07.011","text":"Publisher Index Page"},{"id":330610,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"181","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5819a9c1e4b0bb36a4c91005","contributors":{"authors":[{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":652586,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Lacrecia A.","contributorId":176511,"corporation":false,"usgs":false,"family":"Johnson","given":"Lacrecia","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":652627,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Loren M.","contributorId":88876,"corporation":false,"usgs":true,"family":"Smith","given":"Loren M.","affiliations":[],"preferred":false,"id":652628,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McMurry, Scott T.","contributorId":76613,"corporation":false,"usgs":true,"family":"McMurry","given":"Scott","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":652629,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70179083,"text":"70179083 - 2016 - Past and predicted future effects of housing growth on open space conservation opportunity areas and habitat connectivity around National Wildlife Refuges","interactions":[],"lastModifiedDate":"2016-12-15T14:55:16","indexId":"70179083","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Past and predicted future effects of housing growth on open space conservation opportunity areas and habitat connectivity around National Wildlife Refuges","docAbstract":"<div id=\"ASec1\" class=\"AbstractSection\"><h3 class=\"Heading\">Context</h3><p id=\"Par1\" class=\"Para\">Housing growth can alter suitability of matrix habitats around protected areas, strongly affecting movements of organisms and, consequently, threatening connectivity of protected area networks.</p></div><div id=\"ASec2\" class=\"AbstractSection\"><h3 class=\"Heading\">Objectives</h3><p id=\"Par2\" class=\"Para\">Our goal was to quantify distribution and growth of housing around the U.S. Fish and Wildlife Service National Wildlife Refuge System. This is important information for conservation planning, particularly given promotion of habitat connectivity as a climate change adaptation measure.</p></div><div id=\"ASec3\" class=\"AbstractSection\"><h3 class=\"Heading\">Methods</h3><p id=\"Par3\" class=\"Para\">We quantified housing growth from 1940 to 2000 and projected future growth to 2030 within three distances from refuges, identifying very low housing density open space, “opportunity areas” (contiguous areas with &lt;6.17 houses/km<sup>2</sup>), both nationally and by USFWS administrative region. Additionally, we quantified number and area of habitat corridors within these opportunity areas in 2000.</p></div><div id=\"ASec4\" class=\"AbstractSection\"><h3 class=\"Heading\">Results</h3><p id=\"Par4\" class=\"Para\">Our results indicated that the number and area of open space opportunity areas generally decreased with increasing distance from refuges and with the passage of time. Furthermore, total area in habitat corridors was much lower than in opportunity areas. In addition, the number of corridors sometimes exceeded number of opportunity areas as a result of habitat fragmentation, indicating corridors are likely vulnerable to land use change. Finally, regional differences were strong and indicated some refuges may have experienced so much housing growth already that they are effectively too isolated to adapt to climate change, while others may require extensive habitat restoration work.</p></div><div id=\"ASec5\" class=\"AbstractSection\"><h3 class=\"Heading\">Conclusions</h3><p id=\"Par5\" class=\"Para\">Wildlife refuges are increasingly isolated by residential housing development, potentially constraining the movement of wildlife and, therefore, their ability to adapt to a changing climate.</p></div>","language":"English","publisher":"Springer","doi":"10.1007/s10980-016-0392-8","usgsCitation":"Hamilton, C.M., Baumann, M., Pidgeon, A.M., Helmers, D., Thogmartin, W.E., Heglund, P., and Radeloff, V., 2016, Past and predicted future effects of housing growth on open space conservation opportunity areas and habitat connectivity around National Wildlife Refuges: Landscape Ecology, v. 31, no. 9, p. 2175-2186, https://doi.org/10.1007/s10980-016-0392-8.","productDescription":"12 p.","startPage":"2175","endPage":"2186","ipdsId":"IP-072816","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":332181,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"9","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-11","publicationStatus":"PW","scienceBaseUri":"5853ba3fe4b0e2663625f2b4","chorus":{"doi":"10.1007/s10980-016-0392-8","url":"http://dx.doi.org/10.1007/s10980-016-0392-8","publisher":"Springer Nature","authors":"Hamilton Christopher M., Baumann Matthias, Pidgeon Anna M., Helmers David P., Thogmartin Wayne E., Heglund Patricia J., Radeloff Volker C.","journalName":"Landscape Ecology","publicationDate":"6/11/2016","auditedOn":"2/15/2017","publiclyAccessibleDate":"6/11/2016"},"contributors":{"authors":[{"text":"Hamilton, Christopher M.","contributorId":177495,"corporation":false,"usgs":false,"family":"Hamilton","given":"Christopher","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":655969,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baumann, Matthias","contributorId":177496,"corporation":false,"usgs":false,"family":"Baumann","given":"Matthias","email":"","affiliations":[],"preferred":false,"id":655970,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pidgeon, Anna M.","contributorId":141123,"corporation":false,"usgs":false,"family":"Pidgeon","given":"Anna","email":"","middleInitial":"M.","affiliations":[{"id":13679,"text":"SILVIS Lab, Department of Forest and Wildlife Ecology, University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":655971,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Helmers, David P.","contributorId":177497,"corporation":false,"usgs":false,"family":"Helmers","given":"David P.","affiliations":[],"preferred":false,"id":655972,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":655968,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Heglund, Patricia J.","contributorId":141128,"corporation":false,"usgs":false,"family":"Heglund","given":"Patricia J.","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":655973,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Radeloff, Volker C.","contributorId":76169,"corporation":false,"usgs":true,"family":"Radeloff","given":"Volker C.","affiliations":[],"preferred":false,"id":655974,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70178990,"text":"70178990 - 2016 - Sagebrush, greater sage-grouse, and the occurrence and importance of forbs","interactions":[],"lastModifiedDate":"2016-12-13T11:24:13","indexId":"70178990","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Sagebrush, greater sage-grouse, and the occurrence and importance of forbs","docAbstract":"<p><span>Big sagebrush (</span><i>Artemisia tridentata</i><span> Nutt.) ecosystems provide habitat for sagebrush-obligate wildlife species such as the Greater Sage-Grouse (</span><i>Centrocercus urophasianus</i><span>). The understory of big sagebrush plant communities is composed of grasses and forbs that are important sources of cover and food for wildlife. The grass component is well described in the literature, but the composition, abundance, and habitat role of forbs in these communities is largely unknown. Our objective was to synthesize information about forbs and their importance to Greater Sage-Grouse diets and habitats, how rangeland management practices affect forbs, and how forbs respond to changes in temperature and precipitation. We also sought to identify research gaps and needs concerning forbs in big sagebrush plant communities. We searched for relevant literature including journal articles and state and federal agency reports. Our results indicated that in the spring and summer, Greater Sage-Grouse diets consist of forbs (particularly species in the Asteraceae family), arthropods, and lesser amounts of sagebrush. The diets transition to sagebrush in fall and winter. Forbs provide cover for Greater Sage-Grouse individuals at their lekking, nesting, and brood-rearing sites, and the species has a positive relationship with arthropod presence. The effect of grazing on native forbs may be compounded by invasion of nonnative species and differs depending on grazing intensity. The effect of fire on forbs varies greatly and may depend on time elapsed since burning. In addition, chemical and mechanical treatments affect annual and perennial forbs differently. Temperature and precipitation influence forb phenology, biomass, and abundance differently among species. Our review identified several uncertainties and research needs about forbs in big sagebrush ecosystems. First, in many cases the literature about forbs is reported only at the genus or functional type level. Second, information about forb composition and abundance near lekking sites is limited, despite the fact that lekking sites are an important center of Greater Sage-Grouse activity. Third, there is little published literature on the relationship between forbs and precipitation and between forbs and temperature, thereby limiting our ability to understand potential responses of forbs to climate change. While there is wide agreement among Greater Sage-Grouse biologists that forbs are an important habitat component, our knowledge about the distribution and environmental responses of forb species in big sagebrush plant communities is limited. Our work for the first time synthesizes the current knowledge regarding forbs in sagebrush ecosystems and their importance for Greater Sage-Grouse and identifies additional research needs for effective conservation and management.</span></p>","language":"English","publisher":"Monte L. Bean Life Science Museum, Brigham Young University","doi":"10.3398/064.076.0307","usgsCitation":"Pennington, V.E., Schlaepfer, D., Beck, J., Bradford, J.B., Palmquist, K.A., and Lauenroth, W.K., 2016, Sagebrush, greater sage-grouse, and the occurrence and importance of forbs: Western North American Naturalist, v. 76, no. 3, p. 298-312, https://doi.org/10.3398/064.076.0307.","productDescription":"15 p.","startPage":"298","endPage":"312","ipdsId":"IP-075444","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":332018,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"76","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"585116bbe4b08138bf1abd54","contributors":{"authors":[{"text":"Pennington, Victoria E.","contributorId":138850,"corporation":false,"usgs":false,"family":"Pennington","given":"Victoria","email":"","middleInitial":"E.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":655701,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schlaepfer, Daniel R.","contributorId":105189,"corporation":false,"usgs":false,"family":"Schlaepfer","given":"Daniel R.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":655702,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beck, Jeffrey L.","contributorId":93316,"corporation":false,"usgs":true,"family":"Beck","given":"Jeffrey L.","affiliations":[],"preferred":false,"id":655703,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":655704,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Palmquist, Kyle A.","contributorId":169517,"corporation":false,"usgs":false,"family":"Palmquist","given":"Kyle","email":"","middleInitial":"A.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":655705,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lauenroth, William K.","contributorId":80982,"corporation":false,"usgs":false,"family":"Lauenroth","given":"William","email":"","middleInitial":"K.","affiliations":[{"id":7098,"text":"University of Wyoming, Department of Botany, 1000 E. University Avenue, Laramie, WY 82071, USA","active":true,"usgs":false}],"preferred":false,"id":655706,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70187330,"text":"70187330 - 2016 - Active faulting on the Wallula fault zone within the Olympic-Wallowa lineament, Washington State, USA","interactions":[],"lastModifiedDate":"2017-04-28T15:50:03","indexId":"70187330","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Active faulting on the Wallula fault zone within the Olympic-Wallowa lineament, Washington State, USA","docAbstract":"<p><span>The Wallula fault zone is an integral feature of the Olympic-Wallowa lineament, an ∼500-km-long topographic lineament oblique to the Cascadia plate boundary, extending from Vancouver Island, British Columbia, to Walla Walla, Washington. The structure and past earthquake activity of the Wallula fault zone are important because of nearby infrastructure, and also because the fault zone defines part of the Olympic-Wallowa lineament in south-central Washington and suggests that the Olympic-Wallowa lineament may have a structural origin. We used aeromagnetic and ground magnetic data to locate the trace of the Wallula fault zone in the subsurface and map a quarry exposure of the Wallula fault zone near Finley, Washington, to investigate past earthquakes along the fault. We mapped three main packages of rocks and unconsolidated sediments in an ∼10-m-high quarry exposure. Our mapping suggests at least three late Pleistocene earthquakes with surface rupture, and an episode of liquefaction in the Holocene along the Wallula fault zone. Faint striae on the master fault surface are subhorizontal and suggest reverse dextral oblique motion for these earthquakes, consistent with dextral offset on the Wallula fault zone inferred from offset aeromagnetic anomalies associated with ca. 8.5 Ma basalt dikes. Magnetic surveys show that the Wallula fault actually lies 350 m to the southwest of the trace shown on published maps, passes directly through deformed late Pleistocene or younger deposits exposed at Finley quarry, and extends uninterrupted over 120 km.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/B31359.1","usgsCitation":"Sherrod, B.L., Blakely, R.J., Lasher, J.P., Lamb, A.P., Mahan, S.A., Foit, F.F., and Barnett, E., 2016, Active faulting on the Wallula fault zone within the Olympic-Wallowa lineament, Washington State, USA: GSA Bulletin, v. 128, no. 11-12, p. 1636-1659, https://doi.org/10.1130/B31359.1.","productDescription":"24 p.","startPage":"1636","endPage":"1659","ipdsId":"IP-066033","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":492812,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1Q68HZT","text":"USGS data release","linkHelpText":"Luminescence data for: Trench Exposures across the Dead Coyote fault scarp in Kittitas Valley, Washington"},{"id":340633,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","volume":"128","issue":"11-12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-25","publicationStatus":"PW","scienceBaseUri":"590454a3e4b022cee40dc22c","contributors":{"authors":[{"text":"Sherrod, Brian L. 0000-0002-4492-8631 bsherrod@usgs.gov","orcid":"https://orcid.org/0000-0002-4492-8631","contributorId":2834,"corporation":false,"usgs":true,"family":"Sherrod","given":"Brian","email":"bsherrod@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":693473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Blakely, Richard J. 0000-0003-1701-5236 blakely@usgs.gov","orcid":"https://orcid.org/0000-0003-1701-5236","contributorId":1540,"corporation":false,"usgs":true,"family":"Blakely","given":"Richard","email":"blakely@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":693474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lasher, John P.","contributorId":191562,"corporation":false,"usgs":false,"family":"Lasher","given":"John","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":693475,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lamb, Andrew P. alamb@usgs.gov","contributorId":5720,"corporation":false,"usgs":true,"family":"Lamb","given":"Andrew","email":"alamb@usgs.gov","middleInitial":"P.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":693476,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":693477,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Foit, Franklin F.","contributorId":191563,"corporation":false,"usgs":false,"family":"Foit","given":"Franklin","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":693478,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barnett, Elizabeth eli@usgs.gov","contributorId":2156,"corporation":false,"usgs":true,"family":"Barnett","given":"Elizabeth","email":"eli@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":693479,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70185027,"text":"70185027 - 2016 - Annual elk calf survival in a multiple carnivore system","interactions":[],"lastModifiedDate":"2017-03-14T13:33:17","indexId":"70185027","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Annual elk calf survival in a multiple carnivore system","docAbstract":"<p><span>The realized effect of multiple carnivores on juvenile ungulate recruitment may depend on the carnivore assemblage as well as compensation from forage and winter weather severity, which may mediate juvenile vulnerability to predation in ungulates. We used a time-to-event approach to test for the effects of risk factors on annual elk (</span><i>Cervus canadensis</i><span>) calf survival and to estimate cause-specific mortality rates for 2 elk populations in adjacent study areas in the southern Bitterroot Valley, Montana, USA, during 2011–2014. We captured and radio-tagged 286 elk calves: 226 neonates, and 60 6-month-old calves. Summer survival probability was less variable than winter (</span><i>P</i><span> = 0.12) and averaged 0.55 (95% CI = 0.47–0.63), whereas winter survival varied more than summer and significantly across study years (</span><i>P</i><span> = 0.003) and averaged 0.73 (95% CI = 0.64–0.81). During summer, elk calf survival increased with biomass of preferred forage biomass, and was slightly lower following winters with high precipitation; exposure to mountain lion (</span><i>Puma concolor</i><span>) predation risk was unimportant. In contrast, during winter, we found that exposure to mountain lion predation risk influenced survival, with a weak negative effect of winter precipitation. We found no evidence that forage availability or winter weather severity mediated vulnerability to mountain lion predation risk in summer or winter (e.g., an interaction), indicating that the effect of mountain lion predation was constant regardless of spatial variation in forage or weather. Mountain lions dominated known causes of elk calf mortality in summer and winter, with estimated cause-specific mortality rates of 0.14 (95% CI = 0.09–0.20) and 0.12 (95% CI = 0.07–0.18), respectively. The effect of carnivores on juvenile ungulate recruitment varies across ecological systems depending on relative carnivore densities. Mountain lions may be the most important carnivore for ungulates, especially where grizzly bears (</span><i>Ursus arctos</i><span>) and wolves (</span><i>Canis lupus</i><span>) are rare or recovering. Finally, managers may need to reduce adult female harvest of elk as carnivores recolonize to balance carnivore and ungulate management objectives, especially in less productive habitats for elk. </span></p>","language":"English","publisher":"Wildlife Society","doi":"10.1002/jwmg.21133","usgsCitation":"Eacker, D.R., Hebblewhite, M., Proffitt, K.M., Jimenez, B.S., Mitchell, M.S., and Robinson, H.S., 2016, Annual elk calf survival in a multiple carnivore system: Journal of Wildlife Management, v. 80, no. 8, p. 1345-1359, https://doi.org/10.1002/jwmg.21133.","productDescription":"15 p.","startPage":"1345","endPage":"1359","ipdsId":"IP-069785","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":337509,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","issue":"8","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-10","publicationStatus":"PW","scienceBaseUri":"58c90125e4b0849ce97abccd","contributors":{"authors":[{"text":"Eacker, Daniel R.","contributorId":189250,"corporation":false,"usgs":false,"family":"Eacker","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":684229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hebblewhite, Mark","contributorId":69455,"corporation":false,"usgs":true,"family":"Hebblewhite","given":"Mark","affiliations":[],"preferred":false,"id":684230,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Proffitt, Kelly M.","contributorId":106783,"corporation":false,"usgs":true,"family":"Proffitt","given":"Kelly","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":684231,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jimenez, Benjamin S.","contributorId":189251,"corporation":false,"usgs":false,"family":"Jimenez","given":"Benjamin","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":684232,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mitchell, Michael S. 0000-0002-0773-6905 mmitchel@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-6905","contributorId":3716,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"mmitchel@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":684005,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Robinson, Hugh S.","contributorId":139243,"corporation":false,"usgs":false,"family":"Robinson","given":"Hugh","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":684233,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70182102,"text":"70182102 - 2016 - Response of imperiled Okaloosa darters to stream restoration","interactions":[],"lastModifiedDate":"2018-03-26T14:26:40","indexId":"70182102","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Response of imperiled Okaloosa darters to stream restoration","docAbstract":"<p>The Okaloosa Darter <i>Etheostoma okaloosae</i> is a small percid endemic to six stream drainages in northwestern Florida. The U.S. Fish and Wildlife Service listed Okaloosa Darters as endangered in 1973 and downlisted them to threatened in 2011 because of habitat improvements and increasing abundance across much of their geographic range. Delisting is possible if remaining recovery criteria are met, including restoration of degraded stream reaches. Impounded reaches of Anderson Branch, Mill Creek, and Toms Creek were restored by removing impediments to water ﬂow, draining impoundments, and reconstructing stream reaches. Restorations of Anderson Branch and Mill Creek were designed to rehabilitate populations of Okaloosa Darters without signiﬁcantly affecting popular recreational activities at these locations. Restorations were evaluated from 2007 to 2013 by comparing counts of Okaloosa Darters and the composition of microhabitats in restored and nearby undisturbed reference sites. Okaloosa Darters were absent from degraded stream reaches at the beginning of the study, but they rapidly colonized once restorations were completed. Counts of Okaloosa Darters in reference and restoration sites in Anderson Branch were similar by the end of the study, whereas counts in restoration sites were signiﬁcantly lower than nearby reference sites in Mill and Toms creeks. Restoration sites tended to have lower coverage of sand and root and higher coverage of macrophytes. As riparian vegetation surrounding restoration sites matures to a closed canopy that reduces excessive growth of macrophytes, stream microhabitats and numbers of darters will probably become similar to reference sites. Restoration of degraded stream sites increased abundance and distribution of Okaloosa Darters and reconnected formerly isolated upstream and downstream populations. These projects demonstrated that restoration is a useful conservation tool for imperiled ﬁshes such as Okaloosa Darters and can be undertaken without interfering with popular recreational activities.</p>","language":"English","publisher":"American Fisheries Society","doi":"10.1080/02755947.2016.1227402","usgsCitation":"Reeves, D.B., Tate, W.B., Jelks, H.L., and Jordan, F., 2016, Response of imperiled Okaloosa darters to stream restoration: North American Journal of Fisheries Management, v. 36, no. 6, p. 1375-1385, https://doi.org/10.1080/02755947.2016.1227402.","productDescription":"11 p.","startPage":"1375","endPage":"1385","ipdsId":"IP-071744","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":335705,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -86.70272827148438,\n              30.496017831341284\n            ],\n            [\n              -86.28662109375,\n              30.496017831341284\n            ],\n            [\n              -86.28662109375,\n              30.92814479412135\n            ],\n            [\n              -86.70272827148438,\n              30.92814479412135\n            ],\n            [\n              -86.70272827148438,\n              30.496017831341284\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"36","issue":"6","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-07","publicationStatus":"PW","scienceBaseUri":"58a6c82ce4b025c46428626a","contributors":{"authors":[{"text":"Reeves, David B.","contributorId":181809,"corporation":false,"usgs":false,"family":"Reeves","given":"David","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":669607,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tate, William B.","contributorId":181810,"corporation":false,"usgs":false,"family":"Tate","given":"William","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":669608,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jelks, Howard L. 0000-0002-0672-6297 hjelks@usgs.gov","orcid":"https://orcid.org/0000-0002-0672-6297","contributorId":168997,"corporation":false,"usgs":true,"family":"Jelks","given":"Howard","email":"hjelks@usgs.gov","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":669606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jordan, Frank","contributorId":181811,"corporation":false,"usgs":false,"family":"Jordan","given":"Frank","email":"","affiliations":[],"preferred":false,"id":669609,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192824,"text":"70192824 - 2016 - Responses of a 58-story RC dual core shear wall and outrigger frame building inferred from two earthquakes","interactions":[],"lastModifiedDate":"2017-10-31T10:59:58","indexId":"70192824","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Responses of a 58-story RC dual core shear wall and outrigger frame building inferred from two earthquakes","docAbstract":"<p><span>Responses of a dual core shear-wall and outrigger-framed 58-story building recorded during the M</span><sub>w</sub><span>6.0 Napa earthquake of 24 August 2014 and the M</span><sub>w</sub><span>3.8 Berkeley earthquake of 20 October 2011 are used to identify its dynamic characteristics and behavior. Fundamental frequencies are 0.28 Hz (NS), 0.25 Hz (EW), and 0.43 Hz (torsional). Rigid body motions due to rocking are not significant. Average drift ratios are small. Outrigger frames do not affect average drift ratios or mode shapes. Local site effects do not affect the response; however, response associated with deeper structure may be substantial. A beating effect is observed from data of both earthquakes but beating periods are not consistent. Low critical damping ratios may have contributed to the beating effect. Torsion is relatively larger above outriggers as indicated by the time-histories of motions at the roof, possibly due to the discontinuity of the stiffer shear walls above level 47.</span></p>","language":"English","publisher":"EERI","doi":"10.1193/011916EQS018M","usgsCitation":"Çelebi, M., 2016, Responses of a 58-story RC dual core shear wall and outrigger frame building inferred from two earthquakes: Earthquake Spectra, v. 32, no. 4, p. 2449-2471, https://doi.org/10.1193/011916EQS018M.","productDescription":"23 p.","startPage":"2449","endPage":"2471","ipdsId":"IP-070360","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347823,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Berkeley, Napa","volume":"32","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-01","publicationStatus":"PW","scienceBaseUri":"59f98bbae4b0531197afa00c","contributors":{"authors":[{"text":"Çelebi, Mehmet 0000-0002-4769-7357 celebi@usgs.gov","orcid":"https://orcid.org/0000-0002-4769-7357","contributorId":3205,"corporation":false,"usgs":true,"family":"Çelebi","given":"Mehmet","email":"celebi@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":717081,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70182736,"text":"70182736 - 2016 - Climate-change signals in national atmospheric deposition program precipitation data","interactions":[],"lastModifiedDate":"2017-02-27T15:22:19","indexId":"70182736","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1248,"text":"Climate Dynamics","active":true,"publicationSubtype":{"id":10}},"title":"Climate-change signals in national atmospheric deposition program precipitation data","docAbstract":"<p><span>National Atmospheric Deposition Program (NADP)/National Trends Network precipitation type, snow-season duration, and annual timing of selected chemical wet-deposition maxima vary with latitude and longitude within a 35-year (1979–2013) data record for the contiguous United States and Alaska. From the NADP data collected within the region bounded by 35.6645°–48.782° north latitude and 124°–68° west longitude, similarities in latitudinal and longitudinal patterns of changing snow-season duration, fraction of annual precipitation recorded as snow, and the timing of chemical wet-deposition maxima, suggest that the chemical climate of the atmosphere is linked to physical changes in climate. Total annual precipitation depth has increased 4–6&nbsp;% while snow season duration has decreased from approximately 7 to 21&nbsp;days across most of the USA, except in higher elevation regions where it has increased by as much as 21&nbsp;days. Snow-season precipitation is increasingly comprised of snow, but annually total precipitation is increasingly comprised of liquid precipitation. Meanwhile, maximum ammonium deposition occurs as much as 27&nbsp;days earlier, and the maximum nitrate: sulfate concentration ratio in wet-deposition occurs approximately 10–21&nbsp;days earlier in the year. The maximum crustal (calcium&nbsp;+&nbsp;magnesium&nbsp;+&nbsp;potassium) cation deposition occurs 2–35&nbsp;days earlier in the year. The data suggest that these shifts in the timing of atmospheric wet deposition are linked to a warming climate, but the ecological consequences are uncertain.</span></p>","language":"English","publisher":"Springer-Verlag ","doi":"10.1007/s00382-016-3017-7","usgsCitation":"Wetherbee, G.A., and Mast, M.A., 2016, Climate-change signals in national atmospheric deposition program precipitation data: Climate Dynamics, v. 47, no. 9, p. 3141-3155, https://doi.org/10.1007/s00382-016-3017-7.","productDescription":"15 p. ","startPage":"3141","endPage":"3155","ipdsId":"IP-061492","costCenters":[{"id":143,"text":"Branch of Quality Systems","active":true,"usgs":true}],"links":[{"id":336302,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-29","publicationStatus":"PW","scienceBaseUri":"58b548bde4b01ccd54fddfa8","chorus":{"doi":"10.1007/s00382-016-3017-7","url":"http://dx.doi.org/10.1007/s00382-016-3017-7","publisher":"Springer Nature","authors":"Wetherbee Gregory A., Mast M. Alisa","journalName":"Climate Dynamics","publicationDate":"2/29/2016","auditedOn":"8/1/2016","publiclyAccessibleDate":"2/29/2016"},"contributors":{"authors":[{"text":"Wetherbee, Gregory A. 0000-0002-6720-2294 wetherbe@usgs.gov","orcid":"https://orcid.org/0000-0002-6720-2294","contributorId":1044,"corporation":false,"usgs":true,"family":"Wetherbee","given":"Gregory","email":"wetherbe@usgs.gov","middleInitial":"A.","affiliations":[{"id":143,"text":"Branch of Quality Systems","active":true,"usgs":true}],"preferred":true,"id":673508,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mast, M. Alisa 0000-0001-6253-8162 mamast@usgs.gov","orcid":"https://orcid.org/0000-0001-6253-8162","contributorId":827,"corporation":false,"usgs":true,"family":"Mast","given":"M.","email":"mamast@usgs.gov","middleInitial":"Alisa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":673509,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70182084,"text":"70182084 - 2016 - New findings of twisted-wing parasites (Strepsiptera) in Alaska","interactions":[],"lastModifiedDate":"2017-03-29T11:48:55","indexId":"70182084","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5299,"text":"Newsletter of the Alaska Entomological Society","active":true,"publicationSubtype":{"id":10}},"title":"New findings of twisted-wing parasites (Strepsiptera) in Alaska","docAbstract":"<p>Strepsipterans are a group of insects with a gruesome life history and an enigmatic evolutionary past. Called ‘twisted-wing parasites’, they are minute parasitoids with a very distinct morphology (Figure 1). Alternatively thought to be related to ichneumon wasps, Diptera (flies), Coleoptera (beetles), and even Neuroptera (net-winged insects) (Pohl and Beutel, 2013); the latest genetic and morphological data support the sister order relationship of Strepsiptera and Coleoptera (Niehuis et al., 2012). Strepsipterans are highly modified, males having two hind wings and halteres instead of front wings or elytra. Unlike most parasitoids, they develop inside active, living insects who are sexually sterilized but not killed until or after emergence (Kathirithamby et al., 2015). </p>","language":"English","publisher":"Alaska Entomological Society","usgsCitation":"Mcdermott, M., 2016, New findings of twisted-wing parasites (Strepsiptera) in Alaska: Newsletter of the Alaska Entomological Society, v. 9, no. 1, p. 6-8.","productDescription":"3 p.","startPage":"6","endPage":"8","ipdsId":"IP-074440","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":335675,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":335665,"type":{"id":15,"text":"Index Page"},"url":"https://www.akentsoc.org/newsletter-v9-n1","linkFileType":{"id":5,"text":"html"}}],"volume":"9","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58a6c82de4b025c46428626c","contributors":{"authors":[{"text":"Mcdermott, Molly 0000-0002-0000-0831 mmcdermott@usgs.gov","orcid":"https://orcid.org/0000-0002-0000-0831","contributorId":181770,"corporation":false,"usgs":true,"family":"Mcdermott","given":"Molly","email":"mmcdermott@usgs.gov","affiliations":[],"preferred":true,"id":669493,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70182733,"text":"70182733 - 2016 - Three whole-wood isotopic reference materials, USGS54, USGS55, and USGS56, for δ2H, δ13C, δ15N, and δ18O measurements","interactions":[],"lastModifiedDate":"2017-02-27T15:26:51","indexId":"70182733","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1213,"text":"Chemical Geology","active":true,"publicationSubtype":{"id":10}},"title":"Three whole-wood isotopic reference materials, USGS54, USGS55, and USGS56, for δ2H, δ13C, δ15N, and δ18O measurements","docAbstract":"<p id=\"sp0070\">Comparative measurements of stable hydrogen and oxygen isotopes in wood are hampered by the lack of proper reference materials (RMs). The U.S. Geological Survey (USGS) has prepared three powdered, whole-wood RMs, USGS54 (<i>Pinus contorta</i>, Canadian lodgepole pine), USGS55 (<i>Cordia</i> cf. <i>dodecandra</i>, Mexican ziricote), and USGS56 (<i>Berchemia</i> cf. <i>zeyheri</i>, South African red ivorywood). The stable isotopes of hydrogen, oxygen, carbon, and nitrogen in these RMs span ranges as <i>δ</i><sup>2</sup>H<sub>VSMOW</sub> from –150.4 to –28.2&nbsp;mUr or ‰, as <i>δ</i><sup>18</sup>O<sub>VSMOW</sub> from +&nbsp;17.79 to +&nbsp;27.23&nbsp;mUr, as <i>δ</i><sup>13</sup>C<sub>VPDB</sub> from –27.13 to –24.34&nbsp;mUr, and as <i>δ</i><sup>15</sup>N <sub>AIR-N2</sub> from –2.42 to +&nbsp;1.8&nbsp;mUr. These RMs will enable users to normalize measurements of wood samples to isotope–delta scales, and they are intended primarily for the normalization of <i>δ</i><sup>2</sup>H and <i>δ</i><sup>18</sup>O measurements of unknown wood samples. However, they also are suitable for normalization of stable isotope measurements of carbon and nitrogen in wood samples. In addition, these RMs are suitable for inter-laboratory calibration for the dual-water suilibration procedure for the measurements of <i>δ</i><sup>2</sup>H<sub>VSMOW</sub> values of non-exchangeable hydrogen. The isotopic compositions with 1-σ uncertainties, mass fractions of each element, and fractions of exchangeable hydrogen of these materials are:</p><p id=\"sp0075\">USGS54 (<i>Pinus contorta</i>, Canadian Lodgepole pine)</p><p id=\"sp0080\"><i>δ</i><sup>2</sup>H<sub>VSMOW</sub>&nbsp;=&nbsp;–150.4&nbsp;±&nbsp;1.1&nbsp;mUr (n&nbsp;=&nbsp;29), hydrogen mass fraction&nbsp;=&nbsp;6.00&nbsp;±&nbsp;0.04 % (n&nbsp;=&nbsp;10)</p><p id=\"sp0085\">Fraction of exchangeable hydrogen&nbsp;=&nbsp;5.4&nbsp;±&nbsp;0.6 % (n&nbsp;=&nbsp;29)</p><p id=\"sp0090\"><i>δ</i><sup>18</sup>O<sub>VSMOW</sub>&nbsp;=&nbsp;+&nbsp;17.79&nbsp;±&nbsp;0.15&nbsp;mUr (n&nbsp;=&nbsp;18), oxygen mass fraction&nbsp;=&nbsp;40.4&nbsp;±&nbsp;0.2 % (n&nbsp;=&nbsp;6)</p><p id=\"sp0095\"><i>δ</i><sup>13</sup>C<sub>VPDB</sub>&nbsp;=&nbsp;–24.43&nbsp;±&nbsp;0.02&nbsp;mUr (n&nbsp;=&nbsp;18), carbon mass fraction&nbsp;=&nbsp;48.3&nbsp;±&nbsp;0.4 % (n&nbsp;=&nbsp;12)</p><p id=\"sp0100\"><i>δ</i><sup>15</sup>N<sub>AIR-</sub><sub>N2</sub>&nbsp;=&nbsp;–2.42&nbsp;±&nbsp;0.32&nbsp;mUr (n&nbsp;=&nbsp;17), nitrogen mass fraction&nbsp;=&nbsp;0.05 % (n&nbsp;=&nbsp;4)</p><p id=\"sp0105\">USGS55 (<i>Cordia</i> cf. <i>dodecandra</i>, Mexican ziricote)</p><p id=\"sp0110\"><i>δ</i><sup>2</sup>H<sub>VSMOW</sub>&nbsp;=&nbsp;–28.2&nbsp;±&nbsp;1.7&nbsp;mUr (n&nbsp;=&nbsp;30), hydrogen mass fraction&nbsp;=&nbsp;5.65&nbsp;±&nbsp;0.06 % (n&nbsp;=&nbsp;10)</p><p id=\"sp0115\">Fraction of exchangeable hydrogen&nbsp;=&nbsp;4.1&nbsp;±&nbsp;0.5 % (n&nbsp;=&nbsp;30)</p><p id=\"sp0120\"><i>δ</i><sup>18</sup>O<sub>VSMOW</sub>&nbsp;=&nbsp;+&nbsp;19.12&nbsp;±&nbsp;0.07&nbsp;mUr (n&nbsp;=&nbsp;18), oxygen mass fraction&nbsp;=&nbsp;35.3&nbsp;±&nbsp;0.2 % (n&nbsp;=&nbsp;6)</p><p id=\"sp0125\"><i>δ</i><sup>13</sup>C<sub>VPDB</sub>&nbsp;=&nbsp;–27.13&nbsp;± 0.02&nbsp;mUr (n&nbsp;=&nbsp;18), carbon mass fraction&nbsp;=&nbsp;53.3&nbsp;±&nbsp;0.6 % (n&nbsp;=&nbsp;12)</p><p id=\"sp0130\"><i>δ</i><sup>15</sup>N<sub>AIR-N2</sub>&nbsp;=&nbsp;–0.3&nbsp;±&nbsp;0.4&nbsp;mUr (n&nbsp;=&nbsp;16), nitrogen mass fraction&nbsp;=&nbsp;0.25 % (n&nbsp;=&nbsp;4)</p><p id=\"sp0135\">USGS56 (<i>Berchemia</i> cf. <i>zeyheri</i>, South African red ivorywood)</p><p id=\"sp0140\"><i>δ</i><sup>2</sup>H<sub>VSMOW</sub>&nbsp;=&nbsp;–44.0&nbsp;±&nbsp;1.8&nbsp;mUr (n&nbsp;=&nbsp;30), hydrogen mass fraction&nbsp;=&nbsp;5.65&nbsp;±&nbsp;0.05 % (n&nbsp;=&nbsp;10)</p><p id=\"sp0145\">Fraction of exchangeable hydrogen&nbsp;=&nbsp;6.6&nbsp;±&nbsp;0.3 % (n&nbsp;=&nbsp;30)</p><p id=\"sp0150\"><i>δ</i><sup>18</sup>O<sub>VSMOW</sub>&nbsp;=&nbsp;+&nbsp;27.23&nbsp;±&nbsp;0.03&nbsp;mUr (n&nbsp;=&nbsp;12), oxygen mass fraction&nbsp;=&nbsp;41.1&nbsp;±&nbsp;0.2 % (n&nbsp;=&nbsp;6)</p><p id=\"sp0155\"><i>δ</i><sup>13</sup>C<sub>VPDB</sub>&nbsp;=&nbsp;–24.34&nbsp;±&nbsp;0.01&nbsp;mUr (n&nbsp;=&nbsp;12), carbon mass fraction&nbsp;=&nbsp;47.3&nbsp;±&nbsp;0.2 % (n&nbsp;=&nbsp;12)</p><p id=\"sp0160\"><i>δ</i><sup>15</sup>N<sub>AIR-N2</sub>&nbsp;=&nbsp;+&nbsp;1.8&nbsp;±&nbsp;0.4&nbsp;mUr (n&nbsp;=&nbsp;15), nitrogen mass fraction&nbsp;=&nbsp;0.27 % (n&nbsp;=&nbsp;4)</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemgeo.2016.07.017","usgsCitation":"Qi, H., Coplen, T.B., and Jordan, J.A., 2016, Three whole-wood isotopic reference materials, USGS54, USGS55, and USGS56, for δ2H, δ13C, δ15N, and δ18O measurements: Chemical Geology, v. 442, p. 47-53, https://doi.org/10.1016/j.chemgeo.2016.07.017.","productDescription":"7 p. ","startPage":"47","endPage":"53","ipdsId":"IP-076497","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":336304,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"442","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b548bee4b01ccd54fddfaa","contributors":{"authors":[{"text":"Qi, Haiping 0000-0002-8339-744X haipingq@usgs.gov","orcid":"https://orcid.org/0000-0002-8339-744X","contributorId":507,"corporation":false,"usgs":true,"family":"Qi","given":"Haiping","email":"haipingq@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":673486,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coplen, Tyler B. 0000-0003-4884-6008 tbcoplen@usgs.gov","orcid":"https://orcid.org/0000-0003-4884-6008","contributorId":508,"corporation":false,"usgs":true,"family":"Coplen","given":"Tyler","email":"tbcoplen@usgs.gov","middleInitial":"B.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":673487,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jordan, James A.","contributorId":184070,"corporation":false,"usgs":false,"family":"Jordan","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":673488,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70176031,"text":"70176031 - 2016 - The precision problem in conservation and restoration","interactions":[],"lastModifiedDate":"2016-12-09T14:50:31","indexId":"70176031","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3653,"text":"Trends in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"The precision problem in conservation and restoration","docAbstract":"<p><span>Within the varied contexts of environmental policy, conservation of imperilled species populations, and restoration of damaged habitats, an emphasis on idealized optimal conditions has led to increasingly specific targets for management. Overly-precise conservation targets can reduce habitat variability at multiple scales, with unintended consequences for future ecological resilience. We describe this dilemma in the context of endangered species management, stream restoration, and climate-change adaptation. Inappropriate application of conservation targets can be expensive, with marginal conservation benefit. Reduced habitat variability can limit options for managers trying to balance competing objectives with limited resources. Conservation policies should embrace habitat variability, expand decision-space appropriately, and support adaptation to local circumstances to increase ecological resilience in a rapidly changing world.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.tree.2016.08.001","usgsCitation":"Hiers, J.K., Jackson, S.T., Hobbs, R.J., Bernhardt, E., and Valentine, L.E., 2016, The precision problem in conservation and restoration: Trends in Ecology and Evolution, v. 31, no. 11, p. 820-830, https://doi.org/10.1016/j.tree.2016.08.001.","productDescription":"11 p.","startPage":"820","endPage":"830","ipdsId":"IP-068562","costCenters":[{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"links":[{"id":470468,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.tree.2016.08.001","text":"Publisher Index Page"},{"id":331814,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"584bd0dce4b077fc20250e00","contributors":{"authors":[{"text":"Hiers, J. Kevin","contributorId":173986,"corporation":false,"usgs":false,"family":"Hiers","given":"J.","email":"","middleInitial":"Kevin","affiliations":[{"id":27330,"text":"University of the South; Sewanee, TN","active":true,"usgs":false}],"preferred":false,"id":646826,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jackson, Stephen T. 0000-0002-1487-4652 stjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-1487-4652","contributorId":344,"corporation":false,"usgs":true,"family":"Jackson","given":"Stephen","email":"stjackson@usgs.gov","middleInitial":"T.","affiliations":[{"id":560,"text":"South Central Climate Science Center","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":646825,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hobbs, Richard J.","contributorId":175282,"corporation":false,"usgs":false,"family":"Hobbs","given":"Richard","email":"","middleInitial":"J.","affiliations":[{"id":27556,"text":"University of Western Australia, Crawley, WA","active":true,"usgs":false}],"preferred":false,"id":646828,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bernhardt, Emily S.","contributorId":92143,"corporation":false,"usgs":false,"family":"Bernhardt","given":"Emily S.","affiliations":[{"id":27331,"text":"Duke University, Durham, NC","active":true,"usgs":false}],"preferred":false,"id":646827,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Valentine, Leonie E.","contributorId":173989,"corporation":false,"usgs":false,"family":"Valentine","given":"Leonie","email":"","middleInitial":"E.","affiliations":[{"id":16662,"text":"University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":646829,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192859,"text":"70192859 - 2016 - Hanson Russian River Ponds floodplain restoration: Feasibility study and conceptual design; Appendix G: Physical evaluation of the restoration alternatives","interactions":[],"lastModifiedDate":"2018-02-14T13:17:54","indexId":"70192859","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Hanson Russian River Ponds floodplain restoration: Feasibility study and conceptual design; Appendix G: Physical evaluation of the restoration alternatives","docAbstract":"<p>Appendix G: Hanson Russian River Ponds Floodplain Restoration: Feasibility Study and Conceptual Design |G-1Appendix GPhysical Evaluation of the Restoration AlternativesRichard McDonald and Jonathan Nelson, PhDU.S. Geological Survey Geomorphology and Sediment Transport Laboratory, Golden, ColoradoIntroductionTo assess the relative and overall impacts of the scenarios proposed in Chapters 7 and 9,(Stage I-A–I-D and Stage II-A –II-E), each of the topographic configurations were evaluated over a range of flows. Thisevaluation was carried out using computational flow modeling tools available in the iRIC public-domain river modeling interface (www.i-ric.org, Nelsonet al.in press). Using the iRIC modeling tools described in more detail below, basic hydraulic computations of water-surface elevation, velocity, shear stress, and other hydraulic variables were carried out for the alternatives in the reach surrounding the project area, from the confluence of Dry Creek upstream to the Wohler road bridge downstream, for the full range of observed flows. This methodology allows comparison of the current channel configuration with the proposed alternatives in terms of inundation period and frequency, depth, water velocity, and other hydraulic information. By integrating this kind of information over the reach of interest and the flow record, critical metrics assessing the impacts of various topographic modifications can be compared to those same metrics for the existing condition or other modification scenarios. In addition, because the iRIC tools include predictions of sediment mobility, suspension of fines, and the potential evolution of the land surface in response to flow, these methods provide evaluation of sediment transport, stability of current and proposed surfaces, and evaluation of how these surfaces might evolve into the future. This hydraulic and sediment transport information is critically important for understanding theimpacts of various proposed alternatives on the physical system; perhaps even more importantly given the objectives of the proposed restoration, this information can be related to biological impacts, as is discussed in subsequent chapters of this document.</p><p><br data-mce-bogus=\"1\"></p><p class=\"textbox\" dir=\"ltr\"><span></span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Hanson Russian River Ponds floodplain restoration: Feasibility study and conceptual design","language":"English","publisher":"California Coastal Commision","usgsCitation":"McDonald, R.R., and Nelson, J.M., 2016, Hanson Russian River Ponds floodplain restoration: Feasibility study and conceptual design; Appendix G: Physical evaluation of the restoration alternatives, chap. <i>of</i> Hanson Russian River Ponds floodplain restoration: Feasibility study and conceptual design, 103 p.","productDescription":"103 p.","ipdsId":"IP-067536","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":351609,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee952e4b0da30c1bfc54c","contributors":{"authors":[{"text":"McDonald, Richard R. 0000-0002-0703-0638 rmcd@usgs.gov","orcid":"https://orcid.org/0000-0002-0703-0638","contributorId":2428,"corporation":false,"usgs":true,"family":"McDonald","given":"Richard","email":"rmcd@usgs.gov","middleInitial":"R.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":717230,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, Jonathan M. 0000-0002-7632-8526 jmn@usgs.gov","orcid":"https://orcid.org/0000-0002-7632-8526","contributorId":2812,"corporation":false,"usgs":true,"family":"Nelson","given":"Jonathan","email":"jmn@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":717231,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193641,"text":"70193641 - 2016 - Multiple browsers structure tree recruitment in logged temperate forests","interactions":[],"lastModifiedDate":"2017-11-13T14:51:14","indexId":"70193641","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Multiple browsers structure tree recruitment in logged temperate forests","docAbstract":"<p><span>Historical extirpations have resulted in depauperate large herbivore assemblages in many northern forests. In eastern North America, most forests are inhabited by a single wild ungulate species, white-tailed deer (</span><i>Odocoileus virginianus)</i><span>, and relationships between deer densities and impacts on forest regeneration are correspondingly well documented. Recent recolonizations by moose (</span><i>Alces americanus</i><span>) in northeastern regions complicate established deer density thresholds and predictions of browsing impacts on forest dynamics because size and foraging differences between the two animals suggest a lack of functional redundancy. We asked to what extent low densities of deer + moose would structure forest communities differently from that of low densities of deer in recently logged patch cuts of Massachusetts, USA. In each site, a randomized block with three treatment levels of large herbivores–no-ungulates (full exclosure), deer (partial exclosure), and deer + moose (control) was established. After 6–7 years, deer + moose reduced stem densities and basal area by 2-3-fold,<span>&nbsp;</span></span><i>Prunus pensylvanica</i><span><span>&nbsp;</span>and<span>&nbsp;</span></span><i>Quercus</i><span><span>&nbsp;</span>spp. recruitment by 3–6 fold, and species richness by 1.7 species (19%). In contrast, in the partial exclosures, deer had non-significant effects on stem density, basal area, and species composition, but significantly reduced species richness by 2.5 species on average (28%). Deer browsing in the partial exclosure was more selective than deer + moose browsing together, perhaps contributing to the decline in species richness in the former treatment and the lack of additional decline in the latter. Moose used the control plots at roughly the same frequency as deer (as determined by remote camera traps), suggesting that the much larger moose was the dominant browser species in terms of animal biomass in these cuts. A lack of functional redundancy with respect to foraging behavior between sympatric large herbivores may explain combined browsing effects that were both large and complex.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0166783","usgsCitation":"Faison, E.K., DeStefano, S., Foster, D., Rapp, J.M., and Compton, J., 2016, Multiple browsers structure tree recruitment in logged temperate forests: PLoS ONE, v. 11, no. 11, p. 1-14, https://doi.org/10.1371/journal.pone.0166783.","productDescription":"e0166783; 14 p.","startPage":"1","endPage":"14","ipdsId":"IP-076434","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":482069,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0166783","text":"Publisher Index Page"},{"id":348722,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -72.44247436523438,\n              42.249868245939325\n            ],\n            [\n              -71.9000244140625,\n              42.249868245939325\n            ],\n            [\n              -71.9000244140625,\n              42.63496903887609\n            ],\n            [\n              -72.44247436523438,\n              42.63496903887609\n            ],\n            [\n              -72.44247436523438,\n              42.249868245939325\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","issue":"11","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-28","publicationStatus":"PW","scienceBaseUri":"5a60fc9ce4b06e28e9c2404a","contributors":{"authors":[{"text":"Faison, Edward K.","contributorId":191559,"corporation":false,"usgs":false,"family":"Faison","given":"Edward","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":721857,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeStefano, Stephen 0000-0003-2472-8373 destef@usgs.gov","orcid":"https://orcid.org/0000-0003-2472-8373","contributorId":166706,"corporation":false,"usgs":true,"family":"DeStefano","given":"Stephen","email":"destef@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":719728,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foster, David R.","contributorId":149881,"corporation":false,"usgs":false,"family":"Foster","given":"David R.","affiliations":[{"id":16810,"text":"Harvard Univ.","active":true,"usgs":false}],"preferred":false,"id":721858,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rapp, Joshua M.","contributorId":200307,"corporation":false,"usgs":false,"family":"Rapp","given":"Joshua","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721859,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Compton, Justin A.","contributorId":200308,"corporation":false,"usgs":false,"family":"Compton","given":"Justin A.","affiliations":[],"preferred":false,"id":721860,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70192728,"text":"70192728 - 2016 - Static and dynamic controls on fire activity at moderate spatial and temporal scales in the Alaskan boreal forest","interactions":[],"lastModifiedDate":"2017-11-08T13:37:40","indexId":"70192728","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Static and dynamic controls on fire activity at moderate spatial and temporal scales in the Alaskan boreal forest","docAbstract":"<p><span>Wildfire, a dominant disturbance in boreal forests, is highly variable in occurrence and behavior at multiple spatiotemporal scales. New data sets provide more detailed spatial and temporal observations of active fires and the post-burn environment in Alaska. In this study, we employ some of these new data to analyze variations in fire activity by developing three explanatory models to examine the occurrence of (1) seasonal periods of elevated fire activity using the number of MODIS active fire detections data set (MCD14DL) within an 11-day moving window, (2) unburned patches within a burned area using the Monitoring Trends in Burn Severity fire severity product, and (3) short-to-moderate interval (&lt;60&nbsp;yr) fires using areas of burned area overlap in the Alaska Large Fire Database. Explanatory variables for these three models included dynamic variables that can change over the course of the fire season, such as weather and burn date, as well as static variables that remain constant over a fire season, such as topography, drainage, vegetation cover, and fire history. We found that seasonal periods of high fire activity are associated with both seasonal timing and aggregated weather conditions, as well as the landscape composition of areas that are burning. Important static inputs to the model of seasonal fire activity indicate that when fire weather conditions are suitable, areas that typically resist fire (e.g., deciduous stands) may become more vulnerable to burning and therefore less effective as fire breaks. The occurrence of short-to-moderate interval fires appears to be primarily driven by weather conditions, as these were the only relevant explanatory variables in the model. The unique importance of weather in explaining short-to-moderate interval fires implies that fire return intervals (FRIs) will be sensitive to projected climate changes in the region. Unburned patches occur most often in younger stands, which may be related to a greater deciduous fraction of vegetation as well as lower fuel loads compared with mature stands. The fraction of unburned patches may therefore increase in response to decreasing FRIs and increased deciduousness in the region, or these may decrease if fire weather conditions become more severe.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1572","usgsCitation":"Barrett, K., Loboda, T., McGuire, A.D., Genet, H., Hoy, E., and Kasischke, E., 2016, Static and dynamic controls on fire activity at moderate spatial and temporal scales in the Alaskan boreal forest: Ecosphere, v. 7, no. 11, p. 1-21, https://doi.org/10.1002/ecs2.1572.","productDescription":"e01572; 21 p.","startPage":"1","endPage":"21","ipdsId":"IP-071622","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":482070,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1572","text":"Publisher Index Page"},{"id":348461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"7","issue":"11","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-09","publicationStatus":"PW","scienceBaseUri":"5a0425bee4b0dc0b45b453e2","contributors":{"authors":[{"text":"Barrett, Kirsten","contributorId":26600,"corporation":false,"usgs":true,"family":"Barrett","given":"Kirsten","affiliations":[],"preferred":false,"id":721265,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loboda, Tatiana","contributorId":172797,"corporation":false,"usgs":false,"family":"Loboda","given":"Tatiana","email":"","affiliations":[],"preferred":false,"id":721266,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, A. David 0000-0003-4646-0750 ffadm@usgs.gov","orcid":"https://orcid.org/0000-0003-4646-0750","contributorId":166708,"corporation":false,"usgs":true,"family":"McGuire","given":"A.","email":"ffadm@usgs.gov","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":false,"id":716781,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Genet, Hélène","contributorId":195179,"corporation":false,"usgs":false,"family":"Genet","given":"Hélène","affiliations":[],"preferred":false,"id":721267,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hoy, Elizabeth","contributorId":200169,"corporation":false,"usgs":false,"family":"Hoy","given":"Elizabeth","email":"","affiliations":[],"preferred":false,"id":721268,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kasischke, Eric","contributorId":91980,"corporation":false,"usgs":true,"family":"Kasischke","given":"Eric","affiliations":[],"preferred":false,"id":721269,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70179629,"text":"70179629 - 2016 - Effect of land cover change on snow free surface albedo across the continental United States","interactions":[],"lastModifiedDate":"2017-04-07T14:28:00","indexId":"70179629","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1844,"text":"Global and Planetary Change","active":true,"publicationSubtype":{"id":10}},"title":"Effect of land cover change on snow free surface albedo across the continental United States","docAbstract":"<p><span>Land cover changes (e.g., forest to grassland) affect albedo, and changes in albedo can influence radiative forcing (warming, cooling). We empirically tested albedo response to land cover change for 130 locations across the continental United States using high resolution (30&nbsp;m-×-30&nbsp;m) land cover change data and moderate resolution (~&nbsp;500&nbsp;m-×-500&nbsp;m) albedo data. The land cover change data spanned 10&nbsp;years (2001&nbsp;−&nbsp;2011) and the albedo data included observations every eight days for 13&nbsp;years (2001&nbsp;−&nbsp;2013). Empirical testing was based on autoregressive time series analysis of snow free albedo for verified locations of land cover change. Approximately one-third of the autoregressive analyses for woody to herbaceous or forest to shrub change classes were not significant, indicating that albedo did not change significantly as a result of land cover change at these locations. In addition, ~&nbsp;80% of mean differences in albedo arising from land cover change were less than ±&nbsp;0.02, a nominal benchmark for precision of albedo measurements that is related to significant changes in radiative forcing. Under snow free conditions, we found that land cover change does not guarantee a significant albedo response, and that the differences in mean albedo response for the majority of land cover change locations were small.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gloplacha.2016.09.005","usgsCitation":"Wickham, J., Nash, M., and Barnes, C., 2016, Effect of land cover change on snow free surface albedo across the continental United States: Global and Planetary Change, v. 146, p. 1-9, https://doi.org/10.1016/j.gloplacha.2016.09.005.","productDescription":"9 p.","startPage":"1","endPage":"9","ipdsId":"IP-072381","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":333016,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"146","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58760116e4b04eac8e0746df","contributors":{"authors":[{"text":"Wickham, J.","contributorId":102230,"corporation":false,"usgs":true,"family":"Wickham","given":"J.","email":"","affiliations":[],"preferred":false,"id":657954,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nash, M.S.","contributorId":43946,"corporation":false,"usgs":true,"family":"Nash","given":"M.S.","email":"","affiliations":[],"preferred":false,"id":657955,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnes, Christopher A. 0000-0002-4608-4364 christopher.barnes.ctr@usgs.gov","orcid":"https://orcid.org/0000-0002-4608-4364","contributorId":178108,"corporation":false,"usgs":true,"family":"Barnes","given":"Christopher A.","email":"christopher.barnes.ctr@usgs.gov","affiliations":[],"preferred":false,"id":657953,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70179804,"text":"70179804 - 2016 - Regional meteorological drivers and long term trends of winter-spring nitrate dynamics across watersheds in northeastern North America","interactions":[],"lastModifiedDate":"2017-01-19T10:24:25","indexId":"70179804","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Regional meteorological drivers and long term trends of winter-spring nitrate dynamics across watersheds in northeastern North America","docAbstract":"This study evaluated the contribution of winter rain-on-snow (ROS) events to annual and seasonal nitrate (N-NO3) export and identified the regional meteorological drivers of inter-annual variability in ROS N-NO3 export (ROS-N) at 9 headwater streams located across Ontario, Canada and the northeastern United States. Although on average only 3.3 % of annual precipitation fell as ROS during winter over the study period, these events contributed a significant proportion of annual and winter N-NO3 export at the majority of sites (average of 12 and 42 %, respectively); with the exception of the most northern catchment, where total winter precipitation was exceptionally low (average 77 mm). In years with a greater magnitude of ROS events, the timing of the peak N-NO3 export period (during spring melt) was redistributed to earlier in the year. Variability in ROS frequency and magnitude amongst sites was high and a generalised linear model demonstrated that this spatial variability could be explained by interactive effects between regional and site-specific drivers. Snowpack coverage was particularly important for explaining the site-specific ROS response. Specifically, ROS events were less common when higher temperatures eliminated snow cover despite increasing the proportion of winter rainfall, whereas ROS event frequency was greater at sites where sufficient snow cover remained. This research suggests that catchment response to changes in N deposition is sensitive to climate change; a vulnerability which appears to vary in intensity throughout the seasonally snow-covered temperate region. Furthermore, the sensitivity of stream N-NO3 export to ROS events and potential shifts (earlier) in the timing of N-NO3 export relative to other nutrients affect downstream nutrient stoichiometry and the community composition of phytoplankton and other algae.","language":"English","publisher":"Springer International Publishing Switzerland","doi":"10.1007/s10533-016-0255-z","collaboration":"USGS","usgsCitation":"Crossman, J., Eimers, M.C., Casson, N.J., Burns, D.A., Campbell, J.L., Likens, G.E., Mitchell, M., Nelson, S.J., Shanley, J.B., Watmough, S.A., and Webster, K.L., 2016, Regional meteorological drivers and long term trends of winter-spring nitrate dynamics across watersheds in northeastern North America: Biogeochemistry, v. 130, no. 3, p. 247-265, https://doi.org/10.1007/s10533-016-0255-z.","productDescription":"19 p. 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Catherine","contributorId":178409,"corporation":false,"usgs":false,"family":"Eimers","given":"M","email":"","middleInitial":"Catherine","affiliations":[],"preferred":false,"id":658760,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Casson, Nora J.","contributorId":169271,"corporation":false,"usgs":false,"family":"Casson","given":"Nora","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":658761,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burns, Douglas A. 0000-0001-6516-2869 daburns@usgs.gov","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":1237,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas","email":"daburns@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":658758,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Campbell, John 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Maine","active":true,"usgs":false}],"preferred":false,"id":658767,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":658765,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Watmough, Shaun A.","contributorId":178413,"corporation":false,"usgs":false,"family":"Watmough","given":"Shaun","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":658766,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Webster, Kara L","contributorId":178414,"corporation":false,"usgs":false,"family":"Webster","given":"Kara","email":"","middleInitial":"L","affiliations":[],"preferred":false,"id":658768,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70180014,"text":"70180014 - 2016 - A comparative examination of cortisol effects on muscle myostatin and HSP90 gene expression in salmonids","interactions":[],"lastModifiedDate":"2017-01-23T11:06:40","indexId":"70180014","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1738,"text":"General and Comparative Endocrinology","active":true,"publicationSubtype":{"id":10}},"title":"A comparative examination of cortisol effects on muscle myostatin and HSP90 gene expression in salmonids","docAbstract":"Cortisol, the primary corticosteroid in teleost fishes, is released in response to stressors to elicit local\nfunctions, however little is understood regarding muscle-specific responses to cortisol in these fishes.\nIn mammals, glucocorticoids strongly regulate the muscle growth inhibitor, myostatin, via glucocorticoid\nresponse elements (GREs) leading to muscle atrophy. Bioinformatics methods suggest that this regulatory\nmechanism is conserved among vertebrates, however recent evidence suggests some fishes exhibit divergent\nregulation. Therefore, the aim of this study was to evaluate the conserved actions of cortisol on myostatin\nand hsp90 expression to determine if variations in cortisol interactions have emerged in salmonid\nspecies. Representative salmonids; Chinook salmon (Oncorhynchus tshawytscha), cutthroat trout\n(Oncorhynchus clarki), brook trout (Salvelinus fontinalis), and Atlantic salmon (Salmo salar); were injected\nintraperitoneally with a cortisol implant (50 lg/g body weight) and muscle gene expression was quantified\nafter 48 h. Plasma glucose and cortisol levels were significantly elevated by cortisol in all species,\ndemonstrating physiological effectiveness of the treatment. HSP90 mRNA levels were elevated by cortisol\nin brook trout, Chinook salmon, and Atlantic salmon, but were decreased in cutthroat trout. Myostatin\nmRNA levels were affected in a species, tissue (muscle type), and paralog specific manner. Cortisol treatment\nincreased myostatin expression in brook trout (Salvelinus) and Atlantic salmon (Salmo), but not in\nChinook salmon (Oncorhynchus) or cutthroat trout (Oncorhynchus). Interestingly, the VC alone increased\nmyostatin mRNA expression in Chinook and Atlantic salmon, while the addition of cortisol blocked the\nresponse. Taken together, these results suggest that cortisol affects muscle-specific gene expression in\nspecies-specific manners, with unique Oncorhynchus-specific divergence observed, that are not predictive\nsolely based upon mammalian stress responses.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ygcen.2016.07.019","usgsCitation":"Galt, N.J., McCormick, S.D., Froehlich, J.M., and Biga, P.R., 2016, A comparative examination of cortisol effects on muscle myostatin and HSP90 gene expression in salmonids: General and Comparative Endocrinology, v. 237, p. 19-26, https://doi.org/10.1016/j.ygcen.2016.07.019.","productDescription":"8 p.","startPage":"19","endPage":"26","ipdsId":"IP-071387","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":333697,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"237","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58863a12e4b0cad700058b5d","contributors":{"authors":[{"text":"Galt, Nicholas J.","contributorId":178558,"corporation":false,"usgs":false,"family":"Galt","given":"Nicholas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":659777,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":659763,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Froehlich, Jacob Michael","contributorId":178559,"corporation":false,"usgs":false,"family":"Froehlich","given":"Jacob","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":659778,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Biga, Peggy R.","contributorId":178560,"corporation":false,"usgs":false,"family":"Biga","given":"Peggy","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":659779,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70179744,"text":"70179744 - 2016 - Evaluation of gas production potential from gas hydrate deposits in National Petroleum Reserve Alaska using numerical simulations","interactions":[],"lastModifiedDate":"2017-01-17T10:26:02","indexId":"70179744","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5264,"text":"Journal of Natural Gas Science and Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of gas production potential from gas hydrate deposits in National Petroleum Reserve Alaska using numerical simulations","docAbstract":"<p><span>An evaluation of the gas production potential of Sunlight Peak gas hydrate accumulation in the eastern portion of the National Petroleum Reserve Alaska (NPRA) of Alaska North Slope (ANS) is conducted using numerical simulations, as part of the U.S. Geological Survey (USGS) gas hydrate Life Cycle Assessment program. A field scale reservoir model for Sunlight Peak is developed using Advanced Processes &amp; Thermal Reservoir Simulator (STARS) that approximates the production design and response of this gas hydrate field. The reservoir characterization is based on available structural maps and the seismic-derived hydrate saturation map of the study region. A 3D reservoir model, with heterogeneous distribution of the reservoir properties (such as porosity, permeability and vertical hydrate saturation), is developed by correlating the data from the Mount Elbert well logs. Production simulations showed that the Sunlight Peak prospect has the potential of producing 1.53&nbsp;×&nbsp;10</span><sup>9</sup><span>&nbsp;ST&nbsp;m</span><sup>3</sup><span> of gas in 30 years by depressurization with a peak production rate of around 19.4&nbsp;×&nbsp;10</span><sup>4</sup><span>&nbsp;ST&nbsp;m</span><sup>3</sup><span>/day through a single horizontal well. To determine the effect of uncertainty in reservoir properties on the gas production, an uncertainty analysis is carried out. It is observed that for the range of data considered, the overall cumulative production from the Sunlight Peak will always be within the range of ±4.6% error from the overall mean value of 1.43&nbsp;×&nbsp;10</span><sup>9</sup><span>&nbsp;ST&nbsp;m</span><sup>3</sup><span>. A sensitivity analysis study showed that the proximity of the reservoir from the base of permafrost and the base of hydrate stability zone (BHSZ) has significant effect on gas production rates. The gas production rates decrease with the increase in the depth of the permafrost and the depth of BHSZ. From the overall analysis of the results it is concluded that Sunlight Peak gas hydrate accumulation behaves differently than other Class III reservoirs (Class III reservoirs are composed of a single layer of hydrate with no underlying zone of mobile fluids) due to its smaller thickness and high angle of dip.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jngse.2016.11.021","usgsCitation":"Nandanwar, M.S., Anderson, B.J., Ajayi, T., Collett, T.S., and Zyrianova, M.V., 2016, Evaluation of gas production potential from gas hydrate deposits in National Petroleum Reserve Alaska using numerical simulations: Journal of Natural Gas Science and Engineering, v. 36, no. 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