{"pageNumber":"1037","pageRowStart":"25900","pageSize":"25","recordCount":184914,"records":[{"id":70186169,"text":"70186169 - 2017 - Summer habitat selection by Dall’s sheep in Wrangell-St. Elias National Park and Preserve, Alaska","interactions":[],"lastModifiedDate":"2017-03-30T15:13:22","indexId":"70186169","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Summer habitat selection by Dall’s sheep in Wrangell-St. Elias National Park and Preserve, Alaska","docAbstract":"<p><span>Sexual segregation occurs frequently in sexually dimorphic species, and it may be influenced by differential habitat requirements between sexes or by social or evolutionary mechanisms that maintain separation of sexes regardless of habitat selection. Understanding the degree of sex-specific habitat specialization is important for management of wildlife populations and the design of monitoring and research programs. Using mid-summer aerial survey data for Dall’s sheep (</span><i>Ovis dalli dalli</i><span>) in southern Alaska during 1983–2011, we assessed differences in summer habitat selection by sex and reproductive status at the landscape scale in Wrangell-St. Elias National Park and Preserve (WRST). Males and females were highly segregated socially, as were females with and without young. Resource selection function (RSF) models containing rugged terrain, intermediate values of the normalized difference vegetation index (NDVI), and open landcover types best explained resource selection by each sex, female reproductive classes, and all sheep combined. For male and all female models, most coefficients were similar, suggesting little difference in summer habitat selection between sexes at the landscape scale. A combined RSF model therefore may be used to predict the relative probability of resource selection by Dall’s sheep in WRST regardless of sex or reproductive status.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/jmammal/gyw135","usgsCitation":"Roffler, G.H., Adams, L., and Hebblewhite, M., 2017, Summer habitat selection by Dall’s sheep in Wrangell-St. Elias National Park and Preserve, Alaska: Journal of Mammalogy, v. 98, no. 1, p. 94-105, https://doi.org/10.1093/jmammal/gyw135.","productDescription":"12 p.","startPage":"94","endPage":"105","ipdsId":"IP-060082","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":470170,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jmammal/gyw135","text":"Publisher Index Page"},{"id":338838,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"98","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-17","publicationStatus":"PW","scienceBaseUri":"58de194fe4b02ff32c699ca1","chorus":{"doi":"10.1093/jmammal/gyw135","url":"http://dx.doi.org/10.1093/jmammal/gyw135","publisher":"Oxford University Press (OUP)","authors":"Roffler Gretchen H., Adams Layne G., Hebblewhite Mark","journalName":"Journal of Mammalogy","publicationDate":"9/17/2016"},"contributors":{"authors":[{"text":"Roffler, Gretchen H. groffler@usgs.gov","contributorId":1946,"corporation":false,"usgs":true,"family":"Roffler","given":"Gretchen","email":"groffler@usgs.gov","middleInitial":"H.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":687742,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adams, Layne G. 0000-0001-6212-2896 ladams@usgs.gov","orcid":"https://orcid.org/0000-0001-6212-2896","contributorId":2776,"corporation":false,"usgs":true,"family":"Adams","given":"Layne G.","email":"ladams@usgs.gov","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":687741,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hebblewhite, Mark","contributorId":190188,"corporation":false,"usgs":false,"family":"Hebblewhite","given":"Mark","email":"","affiliations":[],"preferred":false,"id":687743,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70187262,"text":"70187262 - 2017 - An integrated moral obligation model for landowner conservation norms","interactions":[],"lastModifiedDate":"2017-04-27T11:10:16","indexId":"70187262","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3404,"text":"Society & Natural Resources: An International Journal","active":true,"publicationSubtype":{"id":10}},"title":"An integrated moral obligation model for landowner conservation norms","docAbstract":"<p><span>This study applies an integrated moral obligation model to examine the role of environmental and cultural values, and beliefs in the activation of landowner conservation norms. Data for this study were collected through a self-administered survey of riparian landowners in two Minnesota watersheds: Sand Creek and Vermillion River watersheds. Study findings suggest that collectivistic and biospheric–altruistic values form the bases for the activation of personal norms. Further, beliefs about local responsibility and ability to act influence personal norms to protect water resources. Findings suggest that landowners’ personal norms of water conservation are more likely to be activated by conservation strategies that appeal to biospheric–altruistic and collectivistic values, emphasize adverse consequences of water pollution, highlight water resource protection as a local responsibility, and provide the resources needed to protect water resources.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/08941920.2016.1239289","usgsCitation":"Pradhananga, A.K., Davenport, M.A., Fulton, D.C., Maruyama, G.M., and Current, D., 2017, An integrated moral obligation model for landowner conservation norms: Society & Natural Resources: An International Journal, v. 30, no. 2, p. 212-227, https://doi.org/10.1080/08941920.2016.1239289.","productDescription":"16 p.","startPage":"212","endPage":"227","ipdsId":"IP-056505","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340498,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-31","publicationStatus":"PW","scienceBaseUri":"59030324e4b0e862d230f71d","contributors":{"authors":[{"text":"Pradhananga, Amit K.","contributorId":191478,"corporation":false,"usgs":false,"family":"Pradhananga","given":"Amit","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":693179,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davenport, Mae A.","contributorId":191479,"corporation":false,"usgs":false,"family":"Davenport","given":"Mae","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":693180,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fulton, David C. 0000-0001-5763-7887 dcf@usgs.gov","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":2208,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"dcf@usgs.gov","middleInitial":"C.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693120,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maruyama, Geoffrey M.","contributorId":191480,"corporation":false,"usgs":false,"family":"Maruyama","given":"Geoffrey","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":693181,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Current, Dean","contributorId":191481,"corporation":false,"usgs":false,"family":"Current","given":"Dean","email":"","affiliations":[],"preferred":false,"id":693182,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70186020,"text":"70186020 - 2017 - Quantifying the relative contribution of an ecological reserve to conservation objectives","interactions":[],"lastModifiedDate":"2017-03-30T15:18:26","indexId":"70186020","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying the relative contribution of an ecological reserve to conservation objectives","docAbstract":"<p><span>Evaluating the role public lands play in meeting conservation goals is an essential step in good governance. We present a tool for comparing the regional contribution of each of a suite of wildlife management units to conservation goals. We use weighted summation (</span><i>simple additive weighting</i><span>) to compute a Unit Contribution Index (</span><i>UCI</i><span>) based on species richness, population abundance, and a conservation score based on IUCN Red List classified threat levels. We evaluate </span><i>UCI</i><span> for a subset of the 729 participating wetlands of the Integrated Waterbird Management and Monitoring (IWMM) Program across U.S. Fish and Wildlife Service Regions 3 (Midwest USA), 4 (Southeast USA), and 5 (Northeast USA). We found that the median across-Region </span><i>UCI</i><span> for Region 5 was greater than Regions 3 and 4, while Region 4 had the greatest within-Region </span><i>UCI</i><span> median. This index is a powerful tool for wildlife managers to evaluate the performance of units within the conservation estate.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2017.01.002","usgsCitation":"Aagaard, K., Lyons, J.E., and Thogmartin, W.E., 2017, Quantifying the relative contribution of an ecological reserve to conservation objectives: Global Ecology and Conservation, v. 9, p. 142-147, https://doi.org/10.1016/j.gecco.2017.01.002.","productDescription":"6 p.","startPage":"142","endPage":"147","ipdsId":"IP-079772","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":470174,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2017.01.002","text":"Publisher Index Page"},{"id":338844,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58de194fe4b02ff32c699ca3","contributors":{"authors":[{"text":"Aagaard, Kevin 0000-0003-0756-2172 kaagaard@usgs.gov","orcid":"https://orcid.org/0000-0003-0756-2172","contributorId":147393,"corporation":false,"usgs":true,"family":"Aagaard","given":"Kevin","email":"kaagaard@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687363,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyons, James E. 0000-0002-9810-8751 jelyons@usgs.gov","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":177546,"corporation":false,"usgs":true,"family":"Lyons","given":"James","email":"jelyons@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":687364,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":687365,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70188367,"text":"70188367 - 2017 - Implications of the earthquake cycle for inferring fault locking on the Cascadia megathrust","interactions":[],"lastModifiedDate":"2017-06-07T11:31:38","indexId":"70188367","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Implications of the earthquake cycle for inferring fault locking on the Cascadia megathrust","docAbstract":"<p><span>GPS velocity fields in the Western US have been interpreted with various physical models of the lithosphere-asthenosphere system: (1) time-independent block models; (2) time-dependent viscoelastic-cycle models, where deformation is driven by viscoelastic relaxation of the lower crust and upper mantle from past faulting events; (3) viscoelastic block models, a time-dependent variation of the block model. All three models are generally driven by a combination of loading on locked faults and (aseismic) fault creep. Here we construct viscoelastic block models and viscoelastic-cycle models for the Western US, focusing on the Pacific Northwest and the earthquake cycle on the Cascadia megathrust. In the viscoelastic block model, the western US is divided into blocks selected from an initial set of 137 microplates using the method of Total Variation Regularization, allowing potential trade-offs between faulting and megathrust coupling to be determined algorithmically from GPS observations. Fault geometry, slip rate, and locking rates (i.e. the locking fraction times the long term slip rate) are estimated simultaneously within the TVR block model. For a range of mantle asthenosphere viscosity (4.4&nbsp;×&nbsp;10</span><sup>18</sup><span> to 3.6&nbsp;×&nbsp;10</span><sup>20</sup><span> Pa s) we find that fault locking on the megathrust is concentrated in the uppermost 20&nbsp;km in depth, and a locking rate contour line of 30&nbsp;mm yr</span><sup>−1</sup><span> extends deepest beneath the Olympic Peninsula, characteristics similar to previous time-independent block model results. These results are corroborated by viscoelastic-cycle modelling. The average locking rate required to fit the GPS velocity field depends on mantle viscosity, being higher the lower the viscosity. Moreover, for viscosity ≲ 10</span><sup>20</sup><span> Pa s, the amount of inferred locking is higher than that obtained using a time-independent block model. This suggests that time-dependent models for a range of admissible viscosity structures could refine our knowledge of the locking distribution and its epistemic uncertainty.</span></p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/gji/ggx009","usgsCitation":"Pollitz, F., and Evans, E., 2017, Implications of the earthquake cycle for inferring fault locking on the Cascadia megathrust: Geophysical Journal International, v. 209, no. 1, p. 167-185, https://doi.org/10.1093/gji/ggx009.","productDescription":"19 p.","startPage":"167","endPage":"185","ipdsId":"IP-075706","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":342220,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"209","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-11","publicationStatus":"PW","scienceBaseUri":"593910ade4b0764e6c5e8860","contributors":{"authors":[{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":697416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, Eileen 0000-0002-7290-5269 eevans@usgs.gov","orcid":"https://orcid.org/0000-0002-7290-5269","contributorId":167021,"corporation":false,"usgs":true,"family":"Evans","given":"Eileen","email":"eevans@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":697417,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192762,"text":"70192762 - 2017 - Guidance documents: Continued support to improve operations of fish hatcheries and field sites to reduce the impact or prevent establishment of New Zealand Mudsnails and other invasive mollusks","interactions":[],"lastModifiedDate":"2018-01-26T16:23:51","indexId":"70192762","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"FWS/CSS-124-2017","title":"Guidance documents: Continued support to improve operations of fish hatcheries and field sites to reduce the impact or prevent establishment of New Zealand Mudsnails and other invasive mollusks","docAbstract":"<p>This project tested and revised a risk assessment/management tool authored by Moffitt and Stockton designed to provide hatchery biologists and others a structure to measure risk and provide tools to control, prevent or eliminate invasive New Zealand mudsnails (NZMS) and other invasive mollusks in fish hatcheries and hatchery operations. The document has two parts: the risk assessment tool, and an appendix that summarizes options for control or management.</p><p>The framework of the guidance document for risk assessment/hatchery tool combines approaches used by the Hazard Analysis and Critical Control Points (HACCP) process with those developed by the Commission for Environmental Cooperation (CEC), of Canada, Mexico, and the United States, in the Tri-National Risk Assessment Guidelines for Aquatic Alien Invasive Species. The framework approach for this attached first document assesses risk potential with two activities: probability of infestation and consequences of infestation. Each activity is treated equally to determine the risk potential. These two activities are divided into seven basic elements that utilize scientific, technical, and other relevant information in the process of the risk assessment. To determine the probability of infestation four steps are used that have scores reported or determined and averaged. This assessment follows a familiar HACCP process to assess pathways of entry, entry potential, colonization potential, spread potential. The economic, environmental and social consequences are considered as economic impact, environmental impact, and social and cultural influences.</p><p>To test this document, the Principal Investigator worked to identify interested hatchery managers through contacts at regional aquaculture meetings, fish health meetings, and through the network of invasive species managers and scientists participating in the Western Regional Panel on Aquatic Nuisance Species and the 100th Meridian Initiative's Columbia River Basin Team, and the Western New Zealand Mudsnail Conference in Seattle. Targeted hatchery workshops were conducted with staff at Dworshak National Fish Hatchery Complex (ID), Similkameen Pond, Oroville WA, and Ringold Springs State Hatchery (WA).</p><p>As a result of communications with hatchery staff, invasive species managers, and on site assessments of hatchery facilities, the document was modified and enhanced. Additional resources were added to keep it up to date. The result is a more simplified tool that can lead hatchery or management personnel through the process of risk assessment and provide an introduction to the risk management and communication process.</p><p>In addition to the typical HACCP processes, this tool adds steps to rate and consider uncertainty and the weight of evidence regarding options and monitoring results . Uncertainty of outcome exists in most tools that can be used to control or prevent NZMS or other invasive mollusks from infesting an area. In additional this document emphasizes that specific control tools and plans must be tailored to each specific setting to consider the economic, environmental and social influences. From the testing and evaluation process, there was a strong recognition that a number of control and prevention tools previously suggested and reported in the literature from laboratory and small scale trials may not be compatible with regional and national regulations, economic constraints, social or cultural constraints, engineering or water chemistry characteristics of each facility.</p><p>The options for control are summarized in the second document, Review of Control Measures for Hatcheries Infested with NZMS (Appendix A) that provides sources for additional resources and specific tools, and guidance regarding the feasibility and success of each approach. This tool also emphasizes that management plans need to be adaptive and incorporate oversight from professionals familiar with measuring risks of fish diseases, and treatments (e.g. the fish health practitioners and water quality and effluent management teams). Finally, with such a team, the adaptive management approach must be ongoing, and become a regular component of hatchery operations.</p><p>Although it was the intent that this two part document would be included as part of the revised National Management and Control Plan for the NZMS proposed by the U.S. Fish and Wildlife Service (USFWS) and others, it is provided as a stand-alone document.</p>","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Moffitt, C.M., 2017, Guidance documents: Continued support to improve operations of fish hatcheries and field sites to reduce the impact or prevent establishment of New Zealand Mudsnails and other invasive mollusks: Cooperator Science Series FWS/CSS-124-2017, iv, 62 p.","productDescription":"iv, 62 p.","numberOfPages":"68","ipdsId":"IP-083301","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":350724,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350723,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://digitalmedia.fws.gov/cdm/ref/collection/document/id/2189"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6c4c95e4b06e28e9cabb02","contributors":{"authors":[{"text":"Moffitt, Christine M. 0000-0001-6020-9728 cmoffitt@usgs.gov","orcid":"https://orcid.org/0000-0001-6020-9728","contributorId":2583,"corporation":false,"usgs":true,"family":"Moffitt","given":"Christine","email":"cmoffitt@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716851,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70195843,"text":"70195843 - 2017 - Dissolution of fluorapatite by Pseudomonas fluorescens P35 resulting in fluorine release","interactions":[],"lastModifiedDate":"2018-03-06T10:53:54","indexId":"70195843","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1800,"text":"Geomicrobiology Journal","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Dissolution of fluorapatite by <i>Pseudomonas fluorescens</i> P35 resulting in fluorine release","title":"Dissolution of fluorapatite by Pseudomonas fluorescens P35 resulting in fluorine release","docAbstract":"<p><span>Chemical weathering of fluorine-bearing minerals is widely accepted as the main mechanism for the release of fluorine (F) to groundwater. Here, we propose a potential mechanism of F release via microbial dissolution of fluorapatite (Ca</span><sub>5</sub><span>(PO</span><sub>4</sub><span>)</span><sub>3</sub><span>F), which has been neglected previously. Batch culture experiments were conducted at 30°C with a phosphate-solubilizing bacteria strain,<span>&nbsp;</span></span><i>Pseudomonas fluorescens</i><span><span>&nbsp;</span>P35, and rock phosphates as the sole source of phosphate for microbial growth in parallel with abiotic controls. Rock phosphates consisted of 55–91% of fluorapatite and 5–10% of dolomite before microbial dissolution as indicated by X-ray diffraction (XRD). Mineral composition and morphology changed after microbial dissolution characterized by the disappearance of dolomite and the development of etched cavities on rock phosphate surfaces. The pH of media used was approximately 7.4 at the beginning and increased gradually to 7.7 in abiotic controls; with the inoculum, the pH decreased to acidic values of 3.7–3.8 after 27&nbsp;h. Phosphate, calcium, and fluoride were released from the rock phosphate to the acidified medium. At 42&nbsp;h, the concentration of F reached 8.1–10.3&nbsp;mg L</span><sup>−1</sup><span>. The elevated F concentration was two times higher than the F levels in groundwater in regions diagnosed with fluorosis, and was toxic to the bacteria, as demonstrated by a precipitous decrease in live cells. Geochemical modeling demonstrated that the oxidation of glucose (the carbon source for microbial growth in the medium) to gluconic acid could decrease the pH to 3.7–3.8 and result in the dissolution of fluorapatite and dolomite. Dolomite and fluorapatite remained unsaturated, while concentrations of dissolved phosphorus (P), calcium (Ca), and F increased throughout the time course Fluorite reached saturation [saturation index (SI) 0.22–0.42] after 42&nbsp;h in rock phosphate–amended biotic systems. However, fluorite was not detected in XRD patterns of the final residue from microcosms. Given that phosphate-solubilizing bacteria are ubiquitous in soil and groundwater ecosystems, they could play an important role in fluorapatite dissolution and the release of F to groundwater.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01490451.2016.1204376","usgsCitation":"Zhou, J., Wang, H., Cravotta, C., Dong, Q., and Xiang, X., 2017, Dissolution of fluorapatite by Pseudomonas fluorescens P35 resulting in fluorine release: Geomicrobiology Journal, v. 34, no. 5, p. 421-433, https://doi.org/10.1080/01490451.2016.1204376.","productDescription":"13 p.","startPage":"421","endPage":"433","ipdsId":"IP-059740","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":352249,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"5","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-20","publicationStatus":"PW","scienceBaseUri":"5afee8ebe4b0da30c1bfc4d2","contributors":{"authors":[{"text":"Zhou, Jianping","contributorId":202968,"corporation":false,"usgs":false,"family":"Zhou","given":"Jianping","email":"","affiliations":[{"id":36564,"text":"State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430074, P R China","active":true,"usgs":false}],"preferred":false,"id":730277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Hongmei","contributorId":202967,"corporation":false,"usgs":false,"family":"Wang","given":"Hongmei","email":"","affiliations":[{"id":36565,"text":"Laboratory of Basin Hydrology and Wetland Eco-restoration, China University of Geosciences, Wuhan, 430074, P R China","active":true,"usgs":false}],"preferred":false,"id":730276,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cravotta, Charles A. III 0000-0003-3116-4684 cravotta@usgs.gov","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":138829,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles A.","suffix":"III","email":"cravotta@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":730274,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dong, Qiang","contributorId":202966,"corporation":false,"usgs":false,"family":"Dong","given":"Qiang","email":"","affiliations":[{"id":36564,"text":"State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430074, P R China","active":true,"usgs":false}],"preferred":false,"id":730275,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Xiang, Xing","contributorId":202964,"corporation":false,"usgs":false,"family":"Xiang","given":"Xing","email":"","affiliations":[{"id":36564,"text":"State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430074, P R China","active":true,"usgs":false}],"preferred":false,"id":730273,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70195842,"text":"70195842 - 2017 - Differences in flood hazard projections in Europe – their causes and consequences for decision making","interactions":[],"lastModifiedDate":"2018-03-06T11:01:34","indexId":"70195842","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1927,"text":"Hydrological Sciences Journal","active":true,"publicationSubtype":{"id":10}},"title":"Differences in flood hazard projections in Europe – their causes and consequences for decision making","docAbstract":"<p><span>This paper interprets differences in flood hazard projections over Europe and identifies likely sources of discrepancy. Further, it discusses potential implications of these differences for flood risk reduction and adaptation to climate change. The discrepancy in flood hazard projections raises caution, especially among decision makers in charge of water resources management, flood risk reduction, and climate change adaptation at regional to local scales. Because it is naïve to expect availability of trustworthy quantitative projections of future flood hazard, in order to reduce flood risk one should focus attention on mapping of current and future risks and vulnerability hotspots and improve the situation there. Although an intercomparison of flood hazard projections is done in this paper and differences are identified and interpreted, it does not seems possible to recommend which large-scale studies may be considered most credible in particular areas of Europe.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02626667.2016.1241398","usgsCitation":"Kundzewicz, Z., Krysanova, V., Dankers, R., Hirabayashi, Y., Kanae, S., Hattermann, F.F., Huang, S., Milly, P., Stoffel, M., Driessen, P., Matczak, P., Quevauviller, P., and Schellnhuber, H., 2017, Differences in flood hazard projections in Europe – their causes and consequences for decision making: Hydrological Sciences Journal, v. 62, no. 1, p. 1-14, https://doi.org/10.1080/02626667.2016.1241398.","productDescription":"14 p.","startPage":"1","endPage":"14","ipdsId":"IP-079346","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":470232,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02626667.2016.1241398","text":"Publisher Index Page"},{"id":352251,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-29","publicationStatus":"PW","scienceBaseUri":"5afee8ebe4b0da30c1bfc4d4","contributors":{"authors":[{"text":"Kundzewicz, Z. W.","contributorId":202952,"corporation":false,"usgs":false,"family":"Kundzewicz","given":"Z. W.","affiliations":[{"id":36556,"text":"Institute for Agricultural and Forest Environment, Polish Academy of Sciences, Poznań, Poland","active":true,"usgs":false}],"preferred":false,"id":730261,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krysanova, V.","contributorId":202953,"corporation":false,"usgs":false,"family":"Krysanova","given":"V.","affiliations":[{"id":32972,"text":"Potsdam Institute for Climate Impact Research, Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":730262,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dankers, R.","contributorId":202954,"corporation":false,"usgs":false,"family":"Dankers","given":"R.","email":"","affiliations":[{"id":36557,"text":"Met Office, Exeter, UK","active":true,"usgs":false}],"preferred":false,"id":730263,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hirabayashi, Y.","contributorId":202955,"corporation":false,"usgs":false,"family":"Hirabayashi","given":"Y.","email":"","affiliations":[{"id":36558,"text":"Institute of Engineering Innovation, University of Tokyo, Tokyo, Japan","active":true,"usgs":false}],"preferred":false,"id":730264,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kanae, S.","contributorId":202956,"corporation":false,"usgs":false,"family":"Kanae","given":"S.","email":"","affiliations":[{"id":36559,"text":"Department of Mechanical and Environmental Informatics, Tokyo Institute of Technology, Tokyo, Japan","active":true,"usgs":false}],"preferred":false,"id":730265,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hattermann, F. F.","contributorId":202957,"corporation":false,"usgs":false,"family":"Hattermann","given":"F.","email":"","middleInitial":"F.","affiliations":[{"id":32972,"text":"Potsdam Institute for Climate Impact Research, Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":730266,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huang, S.","contributorId":202958,"corporation":false,"usgs":false,"family":"Huang","given":"S.","email":"","affiliations":[{"id":36560,"text":"The Norwegian Water Resources and Energy Directorate, Oslo, Norway","active":true,"usgs":false}],"preferred":false,"id":730267,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Milly, Paul C.D. 0000-0003-4389-3139 cmilly@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-3139","contributorId":2119,"corporation":false,"usgs":true,"family":"Milly","given":"Paul C.D.","email":"cmilly@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":730260,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stoffel, M.","contributorId":202959,"corporation":false,"usgs":false,"family":"Stoffel","given":"M.","email":"","affiliations":[{"id":36561,"text":"Climatic Change and Climate Impacts, Institute for Environmental Sciences, University of Geneva, Geneva, Switzerland","active":true,"usgs":false}],"preferred":false,"id":730268,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Driessen, P.P.J.","contributorId":202960,"corporation":false,"usgs":false,"family":"Driessen","given":"P.P.J.","email":"","affiliations":[{"id":36562,"text":"Utrecht University, Copernicus Institute of Sustainable Development, Utrecht, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":730269,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Matczak, P.","contributorId":202961,"corporation":false,"usgs":false,"family":"Matczak","given":"P.","email":"","affiliations":[{"id":36556,"text":"Institute for Agricultural and Forest Environment, Polish Academy of Sciences, Poznań, Poland","active":true,"usgs":false}],"preferred":false,"id":730270,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Quevauviller, P.","contributorId":202962,"corporation":false,"usgs":false,"family":"Quevauviller","given":"P.","affiliations":[{"id":36563,"text":"Vrije Universiteit Brussel, Belgium","active":true,"usgs":false}],"preferred":false,"id":730271,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Schellnhuber, H.-J.","contributorId":202963,"corporation":false,"usgs":false,"family":"Schellnhuber","given":"H.-J.","email":"","affiliations":[{"id":32972,"text":"Potsdam Institute for Climate Impact Research, Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":730272,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70196114,"text":"70196114 - 2017 - Nutrients, phytoplankton, zooplankton, and macrobenthos","interactions":[],"lastModifiedDate":"2018-03-21T11:45:18","indexId":"70196114","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesTitle":{"id":410,"text":"Special Publication","active":false,"publicationSubtype":{"id":9}},"seriesNumber":"2017-02","title":"Nutrients, phytoplankton, zooplankton, and macrobenthos","docAbstract":"<p>Lower trophic levels support the prey fish on which most sport fish depend. Therefore, understanding the production potential of lower trophic levels is integral to the management of Lake Ontario’s fishery resources. Lower&nbsp;trophic-level productivity differs among offshore and nearshore waters. In the offshore, there is concern about the ability of the lake to support Alewife (Table 1) production due to a perceived decline in productivity of phytoplankton and zooplankton whereas, in the nearshore, there is a concern about excessive attached algal production (e.g., Cladophora) associated with higher nutrient concentrations—the oligotrophication of the offshore and the eutrophication of the nearshore (Mills et al. 2003; Holeck et al. 2008; Dove 2009; Koops et al. 2015; Stewart et al. 2016). Even though the collapse of the Alewife population in Lake Huron in 2003 (and the associated decline in the Chinook Salmon fishery) may have been precipitated by a cold winter (Dunlop and Riley 2013), Alewife had not returned to high abundances in Lake Huron as of 2014 (Roseman et al. 2015). Failure of the Alewife population to recover from collapse has been attributed to declines in lower trophic-level production (Barbiero et al. 2011; Bunnell et al. 2014; but see He et al. 2015). In Lake Michigan, concerns of a similar Alewife collapse led to a decrease in the number of Chinook Salmon stocked. If lower trophic-level production declines in Lake Ontario, a similar management action could be considered. On the other hand, in Lake Erie, which supplies most of the water in Lake Ontario, eutrophication is increasing and so are harmful algal blooms. Thus, there is also a concern that nutrient levels and algal blooms could increase in Lake Ontario, especially in the nearshore. Solutions to the two processes of concern—eutrophication in the nearshore and oligotrophication in the offshore—may be mutually exclusive. In either circumstance, fisheries management needs information on the productivity of lower trophic levels in Lake Ontario. </p><p>In this chapter, we review the status of lower trophic levels in Lake Ontario with special attention to the current (2008-2013) and previous (2003-2007) reporting periods. During the two reporting periods, three whole-lake surveys of lower trophic levels were conducted: the Lower Trophic Level Assessment (LOLA) in 2003 and 2008 (Makarewicz and Howell 2012; Munawar et al. 2015b) and the Cooperative Science and Management Initiative (CSMI) in 2013. Analyses of the CSMI data are ongoing. In addition to the three one-year sources of information on lower trophic levels, several multi-year sources of information are available, including data from the surveillance program conducted since 1965 by Environment Canada (EC) (Dove 2009), monitoring conducted since 1980 by the U.S.&nbsp;Environmental Protection Agency’s (EPA) Great Lakes National Program Office (GLNPO) (Barbiero et al. 2014; Reavie et al. 2014), sampling for a Bioindex Program at two stations, one offshore and one in the Eastern Basin, assessments of Mysis diluviana (formerly Mysis relicta) conducted since 1980 by Fisheries and Oceans Canada (Johannsson et al. 1998, 2011) and the Ontario Ministry of Natural Resources and Forestry (OMNRF), and monitoring conducted since 1995 by the Biomonitoring Program (BMP) on the New York side of the lake (Holeck et al. 2015b). The BMP is a collaboration of the New York State Department of Environmental Conservation (DEC), U.S. Fish and Wildlife Service, U.S. Geological Survey (USGS), and Cornell University.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The state of Lake Ontario in 2014","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Rudstam, L.G., Holeck, K.T., Watkins, J.M., Hotaling, C., Lantry, J.R., Bowen, K.L., Munawar, M., Weidel, B., Barbiero, R., Luckey, F.J., Dove, A., Johnson, T.B., and Biesinger, Z., 2017, Nutrients, phytoplankton, zooplankton, and macrobenthos: Special Publication 2017-02, 23 p.","productDescription":"23 p.","startPage":"10","endPage":"32","ipdsId":"IP-074205","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":352661,"type":{"id":15,"text":"Index Page"},"url":"https://www.glfc.org/pubs/SpecialPubs/Sp17_02.pdf"},{"id":352689,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8ebe4b0da30c1bfc4cc","contributors":{"authors":[{"text":"Rudstam, Lars G.","contributorId":56609,"corporation":false,"usgs":false,"family":"Rudstam","given":"Lars","email":"","middleInitial":"G.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":731409,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holeck, Kristen T.","contributorId":105549,"corporation":false,"usgs":false,"family":"Holeck","given":"Kristen","email":"","middleInitial":"T.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":731410,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watkins, James M.","contributorId":189286,"corporation":false,"usgs":false,"family":"Watkins","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":731411,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hotaling, Christopher","contributorId":197987,"corporation":false,"usgs":false,"family":"Hotaling","given":"Christopher","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":731412,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lantry, Jana R.","contributorId":141107,"corporation":false,"usgs":false,"family":"Lantry","given":"Jana","email":"","middleInitial":"R.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":731413,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bowen, Kelly L.","contributorId":38382,"corporation":false,"usgs":false,"family":"Bowen","given":"Kelly","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":731414,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Munawar, Mohi","contributorId":203403,"corporation":false,"usgs":false,"family":"Munawar","given":"Mohi","email":"","affiliations":[],"preferred":false,"id":731415,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":731408,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Barbiero, Richard","contributorId":203404,"corporation":false,"usgs":false,"family":"Barbiero","given":"Richard","affiliations":[],"preferred":false,"id":731416,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Luckey, Frederick J.","contributorId":131035,"corporation":false,"usgs":false,"family":"Luckey","given":"Frederick","email":"","middleInitial":"J.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":731417,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Dove, Alice","contributorId":203405,"corporation":false,"usgs":false,"family":"Dove","given":"Alice","email":"","affiliations":[],"preferred":false,"id":731418,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Johnson, Timothy B.","contributorId":203406,"corporation":false,"usgs":false,"family":"Johnson","given":"Timothy","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":731419,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Biesinger, Zy","contributorId":197993,"corporation":false,"usgs":false,"family":"Biesinger","given":"Zy","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":731420,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70195092,"text":"70195092 - 2017 - Pharmaceuticals and personal care products (PPCPs) are ecological disrupting compounds (EcoDC)","interactions":[],"lastModifiedDate":"2018-02-08T13:19:22","indexId":"70195092","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3888,"text":"Elementa: Science of the Anthropocene","active":true,"publicationSubtype":{"id":10}},"title":"Pharmaceuticals and personal care products (PPCPs) are ecological disrupting compounds (EcoDC)","docAbstract":"<p><span>Pharmaceuticals and personal care products (PPCPs) are ubiquitous in freshwater ecosystems worldwide and are recognized as contaminants of concern. Currently, contaminants of concern are classified for their persistence, bioaccumulation, and toxicity (PBT criteria). PPCPs are not classified as persistent organic pollutants (POPs), although some PPCPs share characteristics similar to POPs. For example, PPCPs are known to be pseudopersistent due to constant discharge into the environment, often at low concentrations. At commonly reported environmental concentrations, PPCPs are rarely toxic, but the ability of these compounds to disrupt ecological processes and functions in freshwater ecosystems is often overlooked. Herein we briefly summarize recent studies highlighting the potential ecological effects of PPCPs, including effects on key ecological processes (e.g. primary productivity and community respiration), and we propose that appropriate screening for harmful effects of PPCPs in surface waters should be expanded to include Ecologically Disrupting Compounds (EcoDC) in addition to the established PBT criteria.</span></p>","language":"English","publisher":"University of California Press","doi":"10.1525/elementa.252","usgsCitation":"Richmond, E., Grace, M.R., Kelly, J.R., Reisinger, A., Rosi, E.J., and Walters, D., 2017, Pharmaceuticals and personal care products (PPCPs) are ecological disrupting compounds (EcoDC): Elementa: Science of the Anthropocene, v. 5, p. 1-8, https://doi.org/10.1525/elementa.252.","productDescription":"Article 66; 8 p.","startPage":"1","endPage":"8","ipdsId":"IP-080525","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":470166,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/elementa.252","text":"Publisher Index Page"},{"id":351356,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-13","publicationStatus":"PW","scienceBaseUri":"5a7d7001e4b00f54eb2441f4","contributors":{"authors":[{"text":"Richmond, Erinn","contributorId":201755,"corporation":false,"usgs":false,"family":"Richmond","given":"Erinn","affiliations":[{"id":27278,"text":"Monash University","active":true,"usgs":false}],"preferred":false,"id":726895,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grace, Michael R.","contributorId":201756,"corporation":false,"usgs":false,"family":"Grace","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":36247,"text":"MONASH U","active":true,"usgs":false}],"preferred":false,"id":726896,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelly, John R.","contributorId":127362,"corporation":false,"usgs":false,"family":"Kelly","given":"John","email":"","middleInitial":"R.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":726897,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reisinger, Andrew","contributorId":201757,"corporation":false,"usgs":false,"family":"Reisinger","given":"Andrew","email":"","affiliations":[{"id":36248,"text":"Cary Institute of Ecosystem Studies","active":true,"usgs":false}],"preferred":false,"id":726898,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosi, Emma J.","contributorId":201758,"corporation":false,"usgs":false,"family":"Rosi","given":"Emma","email":"","middleInitial":"J.","affiliations":[{"id":36248,"text":"Cary Institute of Ecosystem Studies","active":true,"usgs":false}],"preferred":false,"id":726899,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walters, David M. 0000-0002-4237-2158 waltersd@usgs.gov","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":4444,"corporation":false,"usgs":true,"family":"Walters","given":"David M.","email":"waltersd@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":726894,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70188787,"text":"70188787 - 2017 - A 600-year-long stratigraphic record of tsunamis in south-central Chile","interactions":[],"lastModifiedDate":"2017-06-23T15:43:28","indexId":"70188787","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3562,"text":"The Holocene","active":true,"publicationSubtype":{"id":10}},"title":"A 600-year-long stratigraphic record of tsunamis in south-central Chile","docAbstract":"<p><span>The stratigraphy within coastal river valleys in south-central Chile clarifies and extends the region’s history of large, earthquakes and accompanying tsunamis. Our site at Quidico (38.1°S, 73.3°W) is located in an overlap zone between ruptures of magnitude 8–9 earthquakes in 1960 and 2010, and, therefore, records tsunamis originating from subduction-zone ruptures north and south of the city of Concepción. Hand-dug pits and cores in a 3-m-thick sequence of freshwater peat in an abandoned meander (a little-examined depositional environment for tsunami deposits) and exposures along the Quidico River show five sand beds that extend as much as 1.2 km inland. Evidence for deposition of the beds by tsunamis includes tabular sand beds that are laterally extensive (&gt;100 m), well sorted, fine upward, have sharp lower contacts, and contain diatom assemblages dominated by brackish and marine taxa. Using eyewitness accounts of tsunami inundation, </span><sup>137</sup><span>Cs analyses, and </span><sup>14</sup><span>C dating, we matched the upper four sand beds with historical tsunamis in 2010, 1960, 1835, and 1751. The oldest prehistoric bed dates to 1445–1490 CE and correlates with lacustrine and coastal records of similar-aged earthquakes and tsunamis in south-central Chile.</span></p>","language":"English","publisher":"SAGE","doi":"10.1177/0959683616646191","usgsCitation":"Hong, I., Dura, T., Ely, L.L., Horton, B.P., Nelson, A.R., Cisternas, M., Nikitina, D., and Wesson, R.L., 2017, A 600-year-long stratigraphic record of tsunamis in south-central Chile: The Holocene, v. 27, no. 1, p. 39-51, https://doi.org/10.1177/0959683616646191.","productDescription":"13 p.","startPage":"39","endPage":"51","ipdsId":"IP-074503","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":342830,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.1572265625,\n              -47.27922900257082\n            ],\n            [\n              -70.3564453125,\n              -47.27922900257082\n            ],\n            [\n              -70.3564453125,\n              -30.864510226258346\n            ],\n            [\n              -76.1572265625,\n              -30.864510226258346\n            ],\n            [\n              -76.1572265625,\n              -47.27922900257082\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"27","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-28","publicationStatus":"PW","scienceBaseUri":"594e28b6e4b062508e3abe28","contributors":{"authors":[{"text":"Hong, Isabel","contributorId":193398,"corporation":false,"usgs":false,"family":"Hong","given":"Isabel","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":700360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dura, Tina","contributorId":48482,"corporation":false,"usgs":true,"family":"Dura","given":"Tina","affiliations":[],"preferred":false,"id":700361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ely, Lisa L.","contributorId":19854,"corporation":false,"usgs":true,"family":"Ely","given":"Lisa","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":700362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Horton, Benajamin P.","contributorId":192918,"corporation":false,"usgs":false,"family":"Horton","given":"Benajamin","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":700363,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nelson, Alan R. 0000-0001-7117-7098 anelson@usgs.gov","orcid":"https://orcid.org/0000-0001-7117-7098","contributorId":812,"corporation":false,"usgs":true,"family":"Nelson","given":"Alan","email":"anelson@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":700364,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cisternas, Marco","contributorId":120988,"corporation":false,"usgs":true,"family":"Cisternas","given":"Marco","affiliations":[],"preferred":false,"id":700365,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nikitina, Daria","contributorId":193404,"corporation":false,"usgs":false,"family":"Nikitina","given":"Daria","email":"","affiliations":[{"id":16171,"text":"West Chester University","active":true,"usgs":false}],"preferred":false,"id":700366,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wesson, Robert L. 0000-0003-2702-0012 rwesson@usgs.gov","orcid":"https://orcid.org/0000-0003-2702-0012","contributorId":850,"corporation":false,"usgs":true,"family":"Wesson","given":"Robert","email":"rwesson@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":700367,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70192424,"text":"70192424 - 2017 - Trends in methyl tert-butyl ether concentrations in private wells in southeast New Hampshire: 2005 to 2015","interactions":[],"lastModifiedDate":"2018-03-29T14:31:14","indexId":"70192424","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Trends in methyl tert-butyl ether concentrations in private wells in southeast New Hampshire: 2005 to 2015","docAbstract":"<p><span>In southeast New Hampshire, where reformulated gasoline was used from the 1990s to 2007, methyl&nbsp;</span><i>tert-</i><span>butyl ether (MtBE) concentrations ≥0.2 μg/L were found in water from 26.7% of 195 domestic wells sampled in 2005. Ten years later in 2015, and eight years after MtBE was banned, 10.3% continue to have MtBE. Most wells (140 of 195) had no MtBE detections (concentrations &lt;0.2 μg/L) in 2005 and 2015. Of the remaining wells, MtBE concentrations increased in 4 wells, decreased in 47 wells, and did not change in 4 wells. On average, MtBE concentrations decreased 65% among 47 wells whereas MtBE concentrations increased 17% among 4 wells between 2005 and 2015. The percent change in detection frequency from 2005 to 2015 (the decontamination rate) was lowest (45.5%) in high-population-density areas and in wells completed in the Berwick Formation geologic units. The decontamination rate was the highest (78.6%) where population densities were low and wells were completed in bedrock composed of granite, metamorphic, and mafic rocks. Wells in the Berwick Formation are characteristically deeper and have lower yields than wells in other rock types and have shallower overburden cover, which may allow for more rapid transport of MtBE from land-surface releases. Low-yielding, deep bedrock wells may require large contributing areas to achieve adequate well yield, and thus have a greater chance of intercepting MtBE, in addition to diluting contaminants at a slower rate and thus requiring more time to decontaminate.</span></p>","language":"English","publisher":"ACS","doi":"10.1021/acs.est.6b04149","usgsCitation":"Flanagan, S., Levitt, J.P., and Ayotte, J.D., 2017, Trends in methyl tert-butyl ether concentrations in private wells in southeast New Hampshire: 2005 to 2015: Environmental Science & Technology, v. 51, no. 3, p. 1168-1175, https://doi.org/10.1021/acs.est.6b04149.","productDescription":"8 p.","startPage":"1168","endPage":"1175","ipdsId":"IP-074814","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":352954,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Hampshire","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -72.06207275390625,\n              42.70464124398721\n            ],\n            [\n              -70.7025146484375,\n              42.70464124398721\n            ],\n            [\n              -70.7025146484375,\n              43.624147145668076\n            ],\n            [\n              -72.06207275390625,\n              43.624147145668076\n            ],\n            [\n              -72.06207275390625,\n              42.70464124398721\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"51","issue":"3","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-11","publicationStatus":"PW","scienceBaseUri":"5afee8f7e4b0da30c1bfc4f2","contributors":{"authors":[{"text":"Flanagan, Sarah 0000-0002-7728-0982 sflanaga@usgs.gov","orcid":"https://orcid.org/0000-0002-7728-0982","contributorId":198352,"corporation":false,"usgs":true,"family":"Flanagan","given":"Sarah","email":"sflanaga@usgs.gov","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":715778,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Levitt, Joseph P. 0000-0002-2058-9516 jlevitt@usgs.gov","orcid":"https://orcid.org/0000-0002-2058-9516","contributorId":198353,"corporation":false,"usgs":false,"family":"Levitt","given":"Joseph","email":"jlevitt@usgs.gov","middleInitial":"P.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715779,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ayotte, Joseph D. 0000-0002-1892-2738 jayotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1892-2738","contributorId":149619,"corporation":false,"usgs":true,"family":"Ayotte","given":"Joseph","email":"jayotte@usgs.gov","middleInitial":"D.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715780,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70181775,"text":"70181775 - 2017 - Detecting spatial regimes in ecosystems","interactions":[],"lastModifiedDate":"2017-02-14T10:28:26","indexId":"70181775","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Detecting spatial regimes in ecosystems","docAbstract":"<p><span>Research on early warning indicators has generally focused on assessing temporal transitions with limited application of these methods to detecting spatial regimes. Traditional spatial boundary detection procedures that result in ecoregion maps are typically based on ecological potential (i.e. potential vegetation), and often fail to account for ongoing changes due to stressors such as land use change and climate change and their effects on plant and animal communities. We use Fisher information, an information theory-based method, on both terrestrial and aquatic animal data (U.S. Breeding Bird Survey and marine zooplankton) to identify ecological boundaries, and compare our results to traditional early warning indicators, conventional ecoregion maps and multivariate analyses such as nMDS and cluster analysis. We successfully detected spatial regimes and transitions in both terrestrial and aquatic systems using Fisher information. Furthermore, Fisher information provided explicit spatial information about community change that is absent from other multivariate approaches. Our results suggest that defining spatial regimes based on animal communities may better reflect ecological reality than do traditional ecoregion maps, especially in our current era of rapid and unpredictable ecological change.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ele.12709","usgsCitation":"Sundstrom, S.M., Eason, T., Nelson, R.J., Angeler, D., Barichievy, C., Garmestani, A.S., Graham, N.A., Granholm, D., Gunderson, L., Knutson, M., Nash, K.L., Spanbauer, T., Stow, C., and Allen, C.R., 2017, Detecting spatial regimes in ecosystems: Ecology Letters, v. 20, no. 1, p. 19-32, https://doi.org/10.1111/ele.12709.","productDescription":"14 p.","startPage":"19","endPage":"32","ipdsId":"IP-079617","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":461805,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/ele.12709","text":"External Repository"},{"id":335306,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-20","publicationStatus":"PW","scienceBaseUri":"58a2d3b6e4b0c82512869a05","chorus":{"doi":"10.1111/ele.12709","url":"http://dx.doi.org/10.1111/ele.12709","publisher":"Wiley-Blackwell","authors":"Sundstrom Shana M., Eason Tarsha, Nelson R. John, Angeler David G., Barichievy Chris, Garmestani Ahjond S., Graham Nicholas A.J., Granholm Dean, Gunderson Lance, Knutson Melinda, Nash Kirsty L., Spanbauer Trisha, Stow Craig A., Allen Craig R.","journalName":"Ecology Letters","publicationDate":"12/20/2016","auditedOn":"12/27/2016","publiclyAccessibleDate":"12/20/2016"},"contributors":{"authors":[{"text":"Sundstrom, Shana M.","contributorId":7159,"corporation":false,"usgs":true,"family":"Sundstrom","given":"Shana","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":668483,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eason, Tarsha","contributorId":82220,"corporation":false,"usgs":true,"family":"Eason","given":"Tarsha","email":"","affiliations":[],"preferred":false,"id":668503,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nelson, R. John","contributorId":98215,"corporation":false,"usgs":true,"family":"Nelson","given":"R.","email":"","middleInitial":"John","affiliations":[],"preferred":false,"id":668504,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Angeler, David G.","contributorId":25027,"corporation":false,"usgs":true,"family":"Angeler","given":"David G.","affiliations":[],"preferred":false,"id":668505,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barichievy, Chris","contributorId":17119,"corporation":false,"usgs":true,"family":"Barichievy","given":"Chris","email":"","affiliations":[],"preferred":false,"id":668506,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Garmestani, Ahjond S.","contributorId":77285,"corporation":false,"usgs":true,"family":"Garmestani","given":"Ahjond","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":668507,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Graham, Nicholas A.J.","contributorId":101990,"corporation":false,"usgs":true,"family":"Graham","given":"Nicholas","email":"","middleInitial":"A.J.","affiliations":[],"preferred":false,"id":668508,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Granholm, Dean","contributorId":85087,"corporation":false,"usgs":true,"family":"Granholm","given":"Dean","email":"","affiliations":[],"preferred":false,"id":668509,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gunderson, Lance","contributorId":30797,"corporation":false,"usgs":true,"family":"Gunderson","given":"Lance","affiliations":[],"preferred":false,"id":668510,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Knutson, Melinda","contributorId":27929,"corporation":false,"usgs":true,"family":"Knutson","given":"Melinda","affiliations":[],"preferred":false,"id":668511,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Nash, Kirsty L.","contributorId":40897,"corporation":false,"usgs":true,"family":"Nash","given":"Kirsty","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":668512,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Spanbauer, Trisha","contributorId":146435,"corporation":false,"usgs":false,"family":"Spanbauer","given":"Trisha","email":"","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":668513,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Stow, Craig A.","contributorId":49733,"corporation":false,"usgs":true,"family":"Stow","given":"Craig A.","affiliations":[],"preferred":false,"id":668514,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":668515,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70188888,"text":"70188888 - 2017 - Tectonic evolution","interactions":[],"lastModifiedDate":"2018-05-21T14:21:47","indexId":"70188888","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Tectonic evolution","docAbstract":"The middle Paleozoic through Present tectonic evolution of the Northern Cordillera is portrayed in a series of 15 Tectonic Model figures. These figures depict the successive stages of formation and accretion of orogenic collages along the western margin of the North American Plate (craton and craton margin) and adjacent marine areas. The orogenic collages are composed of terranes and overlap assemblages. The terranes are tectonic (fault-bounded) fragments of island arcs and continental-margin arcs, subduction-zones, oceanic lithosphere, craton margins, and cratons. The overlap assemblages are sequences of mainly late Mesozoic and Cenozoic continental-margin-arc and sedimentary-basin assemblages that were deposited on subjacent terranes and on subjacent craton margin assemblages, following their tectonic assembly.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Dynamic geology of the Northern Cordillera (Alaska and Western Canada) and adjacent marine areas: Tectonics, hazards, and resources","language":"English","publisher":"University of Alaska, Fairbanks","usgsCitation":"Nokleberg, W.J., Monger, J.W., Stone, D.B., Bundtzen, T.K., and Scholl, D.W., 2017, Tectonic evolution, chap. <i>of</i> Dynamic geology of the Northern Cordillera (Alaska and Western Canada) and adjacent marine areas: Tectonics, hazards, and resources, E-Book.","productDescription":"E-Book","ipdsId":"IP-072754","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":352486,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":352437,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/11122/7994"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8f8e4b0da30c1bfc4fc","contributors":{"authors":[{"text":"Nokleberg, Warren J. 0000-0002-1574-8869 wnokleberg@usgs.gov","orcid":"https://orcid.org/0000-0002-1574-8869","contributorId":2077,"corporation":false,"usgs":true,"family":"Nokleberg","given":"Warren","email":"wnokleberg@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":700838,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Monger, James W.H.","contributorId":193571,"corporation":false,"usgs":false,"family":"Monger","given":"James","email":"","middleInitial":"W.H.","affiliations":[],"preferred":false,"id":700839,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stone, David B.","contributorId":193572,"corporation":false,"usgs":false,"family":"Stone","given":"David","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":700840,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bundtzen, Thomas K.","contributorId":192968,"corporation":false,"usgs":false,"family":"Bundtzen","given":"Thomas","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":700841,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scholl, David W. 0000-0001-6500-6962 dscholl@usgs.gov","orcid":"https://orcid.org/0000-0001-6500-6962","contributorId":3738,"corporation":false,"usgs":true,"family":"Scholl","given":"David","email":"dscholl@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":700842,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70193237,"text":"70193237 - 2017 - Spatial demographic models to inform conservation planning of golden eagles in renewable energy landscapes","interactions":[],"lastModifiedDate":"2017-11-22T17:05:17","indexId":"70193237","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Spatial demographic models to inform conservation planning of golden eagles in renewable energy landscapes","docAbstract":"<p>Spatial demographic models can help guide monitoring and management activities targeting at-risk species, even in cases where baseline data are lacking. Here, we provide an example of how site-specific changes in land use and anthropogenic stressors can be incorporated into a spatial demographic model to investigate effects on population dynamics of Golden Eagles (<i>Aquila chrysaetos</i>). Our study focused on a population of Golden Eagles exposed to risks associated with rapid increases in renewable energy development in southern California, U.S.A. We developed a spatially explicit, individual-based simulation model that integrated empirical data on demography of Golden Eagles with spatial data on the arrangement of nesting habitats, prey resources, and planned renewable energy development sites. Our model permitted simulated eagles of different stage-classes to disperse, establish home ranges, acquire prey resources, prospect for breeding sites, and reproduce. The distribution of nesting habitats, prey resources, and threats within each individual's home range influenced movement, reproduction, and survival. We used our model to explore potential effects of alternative disturbance scenarios, and proposed conservation strategies, on the future distribution and abundance of Golden Eagles in the study region. Results from our simulations suggest that probable increases in mortality associated with renewable energy infrastructure (e.g., collisions with wind turbines and vehicles, electrocution on power poles) could have negative consequences for population trajectories, but that site-specific conservation actions could reduce the magnitude of negative effects. Our study demonstrates the use of a flexible and expandable modeling framework to incorporate spatially dependent processes when determining relative effects of proposed management options to Golden Eagles and their habitats.</p>","language":"English","publisher":"The Raptor Research Foundation","doi":"10.3356/JRR-16-77.1","usgsCitation":"Wiens, J.D., Schumaker, N.H., Inman, R.D., Esque, T., Longshore, K.M., and Nussear, K.E., 2017, Spatial demographic models to inform conservation planning of golden eagles in renewable energy landscapes: Journal of Raptor Research, v. 51, no. 3, p. 234-257, https://doi.org/10.3356/JRR-16-77.1.","productDescription":"24 p.","startPage":"234","endPage":"257","ipdsId":"IP-079327","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":470164,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3356/jrr-16-77.1","text":"Publisher Index Page"},{"id":347904,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","volume":"51","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f98bbae4b0531197afa004","contributors":{"authors":[{"text":"Wiens, J. David 0000-0002-2020-038X jwiens@usgs.gov","orcid":"https://orcid.org/0000-0002-2020-038X","contributorId":468,"corporation":false,"usgs":true,"family":"Wiens","given":"J.","email":"jwiens@usgs.gov","middleInitial":"David","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":718668,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schumaker, Nathan H.","contributorId":199151,"corporation":false,"usgs":false,"family":"Schumaker","given":"Nathan","email":"","middleInitial":"H.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":718669,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Inman, Richard D. rdinman@usgs.gov","contributorId":3316,"corporation":false,"usgs":true,"family":"Inman","given":"Richard","email":"rdinman@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":718670,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Esque, Todd C. tesque@usgs.gov","contributorId":127766,"corporation":false,"usgs":true,"family":"Esque","given":"Todd C.","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":718671,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Longshore, Kathleen M. 0000-0001-6621-1271 longshore@usgs.gov","orcid":"https://orcid.org/0000-0001-6621-1271","contributorId":2677,"corporation":false,"usgs":true,"family":"Longshore","given":"Kathleen","email":"longshore@usgs.gov","middleInitial":"M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":718672,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nussear, Kenneth E.","contributorId":117361,"corporation":false,"usgs":false,"family":"Nussear","given":"Kenneth","email":"","middleInitial":"E.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":718673,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70192764,"text":"70192764 - 2017 - Fisheries and aquatic resources of Prairie Creek, Redwood National Park","interactions":[],"lastModifiedDate":"2018-01-26T16:18:52","indexId":"70192764","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","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/REDW/NRR—2017/1492","title":"Fisheries and aquatic resources of Prairie Creek, Redwood National Park","docAbstract":"<p><span>This report synthesizes information on the status of fisheries and aquatic resources in the Prairie Creek sub-basin of Redwood Creek in Humboldt County in northern California, founded on a bibliographic search we conducted of historic and current datasets, unpublished reports, theses, and publications. The compiled Prairie Creek Fisheries Bibliography is available at https://irma.nps.gov/DataStore/. This report describes life histories and population status of the salmonid fishes, and species occurrence of non-salmonid fishes, amphibians, macroinvertebrates, and common benthic algae in Prairie Creek. We assessed habitat conditions that may limit salmonid production in relation to recovery targets established by the National Marine Fisheries Service and the State of California. Although salmon abundance has decreased from historic levels, production of juvenile salmonids in Prairie Creek is relatively stable and robust in comparison with the rest of the Redwood Creek Basin. Carrying capacity likely differs between the undisturbed upper reaches of Prairie Creek and reaches in the lower creek, the latter of which are affected by legacy impacts from timber and agricultural activities. Increased sediment supply and lack of channel structure and floodplain connection in lower Prairie Creek appear to be the greatest stressors to salmonid production. Existing datasets on aquatic resources and environmental variables are listed, and subject areas where few data are available are identified</span><a>.</a></p>","language":"English","publisher":"National Park Service","usgsCitation":"Wilzbach, P., and Ozaki, V., 2017, Fisheries and aquatic resources of Prairie Creek, Redwood National Park: Natural Resource Report NPS/REDW/NRR—2017/1492, ix, 77 p.","productDescription":"ix, 77 p.","numberOfPages":"91","ipdsId":"IP-083912","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":350721,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2243144"},{"id":350722,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Prairie Creek, Redwood National and State Parks","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.10018920898438,\n              41.27135580307865\n            ],\n            [\n              -123.94775390625,\n              41.27135580307865\n            ],\n            [\n              -123.94775390625,\n              41.4609964229274\n            ],\n            [\n              -124.10018920898438,\n              41.4609964229274\n            ],\n            [\n              -124.10018920898438,\n              41.27135580307865\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6c4c95e4b06e28e9cabb00","contributors":{"authors":[{"text":"Wilzbach, Peggy 0000-0002-3559-3630 paw7002@usgs.gov","orcid":"https://orcid.org/0000-0002-3559-3630","contributorId":3908,"corporation":false,"usgs":true,"family":"Wilzbach","given":"Peggy","email":"paw7002@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716855,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ozaki, Vicki","contributorId":201507,"corporation":false,"usgs":false,"family":"Ozaki","given":"Vicki","email":"","affiliations":[],"preferred":false,"id":726015,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193025,"text":"70193025 - 2017 - Hydrochemical determination of source water contributions to Lake Lungo and Lake Ripasottile (central Italy)","interactions":[],"lastModifiedDate":"2017-11-12T11:35:55","indexId":"70193025","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5530,"text":"Journal of Limnology","onlineIssn":"1723-8633","active":true,"publicationSubtype":{"id":10}},"title":"Hydrochemical determination of source water contributions to Lake Lungo and Lake Ripasottile (central Italy)","docAbstract":"Lake Lungo and Lake Ripasottile are two shallow (4-5 m) lakes located in the Rieti Basin, central Italy, that have been described previously as surface outcroppings of the groundwater table. In this work, the two lakes as well as springs and rivers that represent their potential source waters are characterized physio-chemically and isotopically, using a combination of environmental tracers. Temperature and pH were measured and water samples were analyzed for alkalinity, major ion concentration, and stable isotope (δ2H, δ18O, δ13C of dissolved inorganic carbon, and δ34S and δ18O of sulfate) composition. Chemical data were also investigated in terms of local meteorological data (air temperature, precipitation) to determine the sensitivity of lake parameters to changes in the surrounding environment. Groundwater represented by samples taken from Santa Susanna Spring was shown to be distinct with SO42- and Mg2+ content of 270 and 29 mg/L, respectively, and heavy sulfate isotopic composition(δ34S=15.2 ‰ and δ18O=10‰). Outflow from the Santa Susanna Spring enters Lake Ripasottile via a canal and both spring and lake water exhibits the same chemical distinctions and comparatively low seasonal variability. Major ion concentrations in Lake Lungo are similar to the Vicenna Riara Spring and are interpreted to represent the groundwater locally recharged within the plain. The δ13CDIC exhibit the same groupings as the other chemical parameters, providing supporting evidence of the source relationships. Lake Lungo exhibited exceptional ranges of δ13CDIC (±5 ‰) and δ2H, δ18O (±5 ‰ and ±7 ‰, respectively), attributed to sensitivity to seasonal changes. The hydrochemistry results, particularly major ion data, highlight how the two lakes, though geographically and morphologically similar, represent distinct hydrochemical facies. These data also show a different response in each lake to temperature and precipitation patterns in the basin that may be attributed to lake water retention time. The sensitivity of each lake to meteorological patterns can be used to understand the potential effects from long-term climate variability.","language":"English","publisher":"PAGEPress Scientific Publications","publisherLocation":"Pavia, Italy","doi":"10.4081/jlimnol.2016.1576","usgsCitation":"Archer, C., Noble, P., Kreamer, D., Piscopo, V., Petitta, M., Rosen, M.R., Poulson, S.R., Piovesan, G., and Mensing, S., 2017, Hydrochemical determination of source water contributions to Lake Lungo and Lake Ripasottile (central Italy): Journal of Limnology, v. 76, no. 2, p. 326-342, https://doi.org/10.4081/jlimnol.2016.1576.","productDescription":"17 p.","startPage":"326","endPage":"342","ipdsId":"IP-079585","costCenters":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"links":[{"id":470178,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4081/jlimnol.2016.1576","text":"Publisher Index Page"},{"id":348621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","otherGeospatial":"Lake Lungo, Lake Ripasottile","volume":"76","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-21","publicationStatus":"PW","scienceBaseUri":"5a096bb1e4b09af898c94149","contributors":{"authors":[{"text":"Archer, Claire","contributorId":198952,"corporation":false,"usgs":false,"family":"Archer","given":"Claire","email":"","affiliations":[{"id":33648,"text":"Department of Geological Sciences and Engineering, University of Nevada","active":true,"usgs":false}],"preferred":false,"id":717688,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noble, Paula","contributorId":198953,"corporation":false,"usgs":false,"family":"Noble","given":"Paula","affiliations":[{"id":33648,"text":"Department of Geological Sciences and Engineering, University of Nevada","active":true,"usgs":false}],"preferred":false,"id":717689,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kreamer, David","contributorId":198954,"corporation":false,"usgs":false,"family":"Kreamer","given":"David","email":"","affiliations":[{"id":30777,"text":"Department of Geoscience, University of Nevada","active":true,"usgs":false}],"preferred":false,"id":717690,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Piscopo, Vincenzo","contributorId":198955,"corporation":false,"usgs":false,"family":"Piscopo","given":"Vincenzo","email":"","affiliations":[{"id":35390,"text":"Tuscia University","active":true,"usgs":false}],"preferred":false,"id":717691,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Petitta, Marco","contributorId":198956,"corporation":false,"usgs":false,"family":"Petitta","given":"Marco","email":"","affiliations":[{"id":35391,"text":"Sapienza University of Rome","active":true,"usgs":false}],"preferred":false,"id":717692,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rosen, Michael R. 0000-0003-3991-0522 mrosen@usgs.gov","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":495,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"mrosen@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":717687,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Poulson, Simon R.","contributorId":187411,"corporation":false,"usgs":false,"family":"Poulson","given":"Simon","email":"","middleInitial":"R.","affiliations":[{"id":33648,"text":"Department of Geological Sciences and Engineering, University of Nevada","active":true,"usgs":false}],"preferred":false,"id":717693,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Piovesan, Gianluca","contributorId":198957,"corporation":false,"usgs":false,"family":"Piovesan","given":"Gianluca","email":"","affiliations":[{"id":35390,"text":"Tuscia University","active":true,"usgs":false}],"preferred":false,"id":717694,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mensing, Scott","contributorId":198958,"corporation":false,"usgs":false,"family":"Mensing","given":"Scott","affiliations":[{"id":33212,"text":"Department of Geography, University of NV","active":true,"usgs":false}],"preferred":false,"id":717695,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70179816,"text":"70179816 - 2017 - Riparian soil development linked to forest succession above and below dams along the Elwha River, Washington, USA","interactions":[],"lastModifiedDate":"2017-12-05T10:26:47","indexId":"70179816","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Riparian soil development linked to forest succession above and below dams along the Elwha River, Washington, USA","docAbstract":"Riparian forest soils can be highly dynamic, due to frequent fluvial disturbance, erosion, and sediment deposition, but effects of dams on riparian soils are poorly understood. We examined soils along toposequences within three river segments located upstream, between, and downstream of two dams on the Elwha River to evaluate relationships between riparian soil development and forest age, succession, and channel proximity, explore dam effects on riparian soils, and provide a baseline for the largest dam removal in history. We found that older, later-successional forests and geomorphic surfaces contained soils with finer texture and greater depth to cobble, supporting greater forest floor mass, mineral soil nutrient levels, and cation exchange. Forest stand age was a better predictor than channel proximity for many soil characteristics, though elevation and distance from the channel were often also important, highlighting how complex interactions between fluvial disturbance, sediment deposition, and biotic retention regulate soil development in this ecosystem. Soils between the dams, and to a lesser extent below the lower dam, had finer textures and higher mineral soil carbon, nitrogen, and cation exchange than above the dams. These results suggested that decreased fluvial disturbance below the dams, due to reduced sediment supply and channel stabilization, accelerated soil development. In addition, reduced sediment supply below the dams may have decreased soil phosphorus. Soil δ15N suggested that salmon exclusion by the dams had no discernable effect on nitrogen inputs to upstream soils. Recent dam removal may alter riparian soils further, with ongoing implications for riparian ecosystems.","language":"English","publisher":"Springer","doi":"10.1007/s10021-016-0080-1","usgsCitation":"Perry, L.G., Shafroth, P.B., and Perakis, S.S., 2017, Riparian soil development linked to forest succession above and below dams along the Elwha River, Washington, USA: Ecosystems, v. 20, no. 1, p. 104-129, https://doi.org/10.1007/s10021-016-0080-1.","productDescription":"26 p. ","startPage":"104","endPage":"129","ipdsId":"IP-073631","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":333422,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Elwa River ","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.57421875,\n              48.14134883691423\n            ],\n            [\n              -123.56460571289061,\n              48.12485115686402\n            ],\n            [\n              -123.58245849609375,\n              48.068444087227775\n            ],\n            [\n              -123.60099792480469,\n              48.03769224746972\n            ],\n            [\n              -123.61061096191405,\n              48.00003067321041\n            ],\n            [\n              -123.61473083496094,\n              47.984866421810175\n            ],\n            [\n              -123.49250793457031,\n              47.891024843906955\n            ],\n            [\n              -123.47602844238281,\n              47.86200993068552\n            ],\n            [\n              -123.47602844238281,\n              47.819148694192286\n            ],\n            [\n              -123.46572875976561,\n              47.77625204393233\n            ],\n            [\n              -123.46916198730467,\n              47.7619452898863\n            ],\n            [\n              -123.4423828125,\n              47.762406859510556\n            ],\n            [\n              -123.43276977539062,\n              47.821915003877976\n            ],\n            [\n              -123.47602844238281,\n              47.92278444035086\n            ],\n            [\n              -123.57147216796875,\n              47.979810681056705\n            ],\n            [\n              -123.57284545898438,\n              48.05743061384011\n            ],\n            [\n              -123.54263305664062,\n              48.10559716402152\n            ],\n            [\n              -123.55430603027344,\n              48.150970035875766\n            ],\n            [\n              -123.56941223144531,\n              48.14959568930188\n            ],\n            [\n              -123.57284545898438,\n              48.145472428740135\n            ],\n            [\n              -123.57421875,\n              48.14134883691423\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"20","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-17","publicationStatus":"PW","scienceBaseUri":"5881ded5e4b01192927d9f7d","contributors":{"authors":[{"text":"Perry, Laura G","contributorId":177873,"corporation":false,"usgs":false,"family":"Perry","given":"Laura","email":"","middleInitial":"G","affiliations":[],"preferred":false,"id":658813,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X shafrothp@usgs.gov","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":2000,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick","email":"shafrothp@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":658811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perakis, Steven S. 0000-0003-0703-9314 sperakis@usgs.gov","orcid":"https://orcid.org/0000-0003-0703-9314","contributorId":145528,"corporation":false,"usgs":true,"family":"Perakis","given":"Steven","email":"sperakis@usgs.gov","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":658812,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70187105,"text":"70187105 - 2017 - Large decadal-scale changes in uranium and bicarbonate in groundwater of the irrigated western U.S","interactions":[],"lastModifiedDate":"2017-04-22T20:12:24","indexId":"70187105","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Large decadal-scale changes in uranium and bicarbonate in groundwater of the irrigated western U.S","docAbstract":"<p>Samples collected about one decade apart from 1105 wells from across the U.S. were compiled to assess whether uranium concentrations in the arid climate are linked to changing bicarbonate concentrations in the irrigated western U.S. Uranium concentrations in groundwater were high in the arid climate in the western U.S, where uranium sources are abundant. Sixty-four wells (6%) were above the U.S. EPA MCL of 30&nbsp;μg/L; all but one are in the arid west. Concentrations were low to non-detectable in the humid climate. Large uranium and bicarbonate increases (differences are greater than the uncertainty in concentrations) occur in 109 wells between decade 1 and decade 2. Similarly, large uranium and bicarbonate decreases occur in 76 wells between the two decades. Significantly more wells are concordant (uranium and bicarbonate are both going the same direction) than discordant (uranium and bicarbonate are going opposite directions) (p&nbsp;&lt;&nbsp;0.001; Chi-square test). The largest percent difference in uranium concentrations occur in wells where uranium is increasing and bicarbonate is also increasing. These large differences occur mostly in the arid climate. Results are consistent with the hypothesis that changing uranium concentrations are linked to changes in bicarbonate in irrigated areas of the western U.S.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2017.01.220","usgsCitation":"Burow, K.R., Belitz, K., Dubrovsky, N.M., and Jurgens, B., 2017, Large decadal-scale changes in uranium and bicarbonate in groundwater of the irrigated western U.S: Science of the Total Environment, v. 586, p. 87-95, https://doi.org/10.1016/j.scitotenv.2017.01.220.","productDescription":"9 p.","startPage":"87","endPage":"95","ipdsId":"IP-081578","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":470179,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2017.01.220","text":"Publisher Index Page"},{"id":340106,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"586","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5915467be4b01a342e6912e6","contributors":{"authors":[{"text":"Burow, Karen R. 0000-0001-6006-6667 krburow@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-6667","contributorId":1504,"corporation":false,"usgs":true,"family":"Burow","given":"Karen","email":"krburow@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":692447,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":692449,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dubrovsky, Neil M. 0000-0001-7786-1149 nmdubrov@usgs.gov","orcid":"https://orcid.org/0000-0001-7786-1149","contributorId":1799,"corporation":false,"usgs":true,"family":"Dubrovsky","given":"Neil","email":"nmdubrov@usgs.gov","middleInitial":"M.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":692450,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jurgens, Bryant C. 0000-0002-1572-113X bjurgens@usgs.gov","orcid":"https://orcid.org/0000-0002-1572-113X","contributorId":127839,"corporation":false,"usgs":true,"family":"Jurgens","given":"Bryant C.","email":"bjurgens@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":692451,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192025,"text":"70192025 - 2017 - Evaluation of modeled bacteria loads along an impaired stream reach receiving discharge from a municipal separate storm sewer system in Independence, Mo.","interactions":[],"lastModifiedDate":"2018-02-27T13:35:22","indexId":"70192025","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Evaluation of modeled bacteria loads along an impaired stream reach receiving discharge from a municipal separate storm sewer system in Independence, Mo.","docAbstract":"<p><span>The Little Blue River in Jackson County, Missouri, was listed as impaired in 2012 due to&nbsp;</span><i>Escherichia coli</i><span><span>&nbsp;</span>(</span><i>E. coli</i><span>) from urban runoff and storm sewers. A study was initiated to characterize<span>&nbsp;</span></span><i>E. coli</i><span><span>&nbsp;</span>concentrations and loads to aid in the development of a total maximum daily load implementation plan. Longitudinal sampling along the stream revealed spatial and temporal variability in<span>&nbsp;</span></span><i>E. coli</i><span><span>&nbsp;</span>loads. Regression models were developed to better represent<span>&nbsp;</span></span><i>E. coli</i><span><span>&nbsp;</span>variability in the impaired reach using continuous hydrologic and water-quality parameters as predictive parameters. Daily loads calculated from main-stem samples were significantly higher downstream compared to upstream even though there was no significant difference between the upstream and downstream measured concentrations and no significant conclusions could be drawn from model-estimated loads due to model-associated uncertainty. Increasing sample frequency could decrease the bias and increase the accuracy of the modeled results.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the Water Environment Federation, WEFTEC 2017","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Water Environment Federation","doi":"10.2175/193864717822156730","usgsCitation":"Flickinger, A., and Christensen, E.D., 2017, Evaluation of modeled bacteria loads along an impaired stream reach receiving discharge from a municipal separate storm sewer system in Independence, Mo., <i>in</i> Proceedings of the Water Environment Federation, WEFTEC 2017, p. 4753-4782, https://doi.org/10.2175/193864717822156730.","productDescription":"30 p.","startPage":"4753","endPage":"4782","ipdsId":"IP-087590","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":438459,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F77W6B4Z","text":"USGS data release","linkHelpText":"Escherichia coli data and continuous hydrologic and physical parameters at U.S. Geological Survey (USGS) streamgage sites on the Little Blue River and its tributaries in Independence, MO"},{"id":352084,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","city":"Independence","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8f7e4b0da30c1bfc4f8","contributors":{"authors":[{"text":"Flickinger, Allison aflickinger@usgs.gov","contributorId":197591,"corporation":false,"usgs":true,"family":"Flickinger","given":"Allison","email":"aflickinger@usgs.gov","affiliations":[],"preferred":true,"id":713863,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christensen, Eric D. echriste@usgs.gov","contributorId":4230,"corporation":false,"usgs":true,"family":"Christensen","given":"Eric","email":"echriste@usgs.gov","middleInitial":"D.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713864,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70193154,"text":"70193154 - 2017 - A network model framework for prioritizing wetland conservation in the Great Plains","interactions":[],"lastModifiedDate":"2017-11-20T16:32:30","indexId":"70193154","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","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":"A network model framework for prioritizing wetland conservation in the Great Plains","docAbstract":"<div id=\"ASec1\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Context</strong></p><p id=\"Par1\" class=\"Para\">Playa wetlands are the primary habitat for numerous wetland-dependent species in the Southern Great Plains of North America. Plant and wildlife populations that inhabit these wetlands are reciprocally linked through the dispersal of individuals, propagules and ultimately genes among local populations.</p></div><div id=\"ASec2\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Objective</strong></p><p id=\"Par2\" class=\"Para\">To develop and implement a framework using network models for conceptualizing, representing and analyzing potential biological flows among 48,981 spatially discrete playa wetlands in the Southern Great Plains.</p></div><div id=\"ASec3\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Methods</strong></p><p id=\"Par3\" class=\"Para\">We examined changes in connectivity patterns and assessed the relative importance of wetlands to maintaining these patterns by targeting wetlands for removal based on network centrality metrics weighted by estimates of habitat quality and probability of inundation.</p></div><div id=\"ASec4\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Results</strong></p><p id=\"Par4\" class=\"Para\">We identified several distinct, broad-scale sub networks and phase transitions among playa wetlands in the Southern Plains. In particular, for organisms that can disperse<span>&nbsp;</span><span class=\"EmphasisTypeUnderline \">&gt;</span>2&nbsp;km a dense and expansive wetland sub network emerges in the Southern High Plains. This network was characterized by localized, densely connected wetland clusters at link distances (<i class=\"EmphasisTypeItalic \">h</i>) &gt;2&nbsp;km but &lt;5&nbsp;km and was most sensitive to changes in wetland availability (<i class=\"EmphasisTypeItalic \">p</i>) and configuration when<span>&nbsp;</span><i class=\"EmphasisTypeItalic \">h</i>&nbsp;=&nbsp;4&nbsp;km, and<span>&nbsp;</span><i class=\"EmphasisTypeItalic \">p</i>&nbsp;=&nbsp;0.2–0.4. It transitioned to a single, large connected wetland system at broader spatial scales even when the proportion of inundated wetland was relatively low (<i class=\"EmphasisTypeItalic \">p</i>&nbsp;=&nbsp;0.2).</p></div><div id=\"ASec5\" class=\"AbstractSection\"><p class=\"Heading\"><strong>Conclusions</strong></p><p id=\"Par5\" class=\"Para\">Our findings suggest that redundancy in the potential for broad and fine-scale movements insulates this system from damage and facilitates system-wide connectivity among populations with different dispersal capacities.</p></div>","language":"English","publisher":"Springer","doi":"10.1007/s10980-016-0436-0","usgsCitation":"Albanese, G., and Haukos, D.A., 2017, A network model framework for prioritizing wetland conservation in the Great Plains: Landscape Ecology, v. 32, no. 1, p. 115-130, https://doi.org/10.1007/s10980-016-0436-0.","productDescription":"16 p.","startPage":"115","endPage":"130","ipdsId":"IP-066948","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":349165,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico, Texas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -104.666748046875,\n              31.868227816180674\n            ],\n            [\n              -101.14013671875,\n              31.868227816180674\n            ],\n            [\n              -101.14013671875,\n              35.27253175660236\n            ],\n            [\n              -104.666748046875,\n              35.27253175660236\n            ],\n            [\n              -104.666748046875,\n              31.868227816180674\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"32","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-22","publicationStatus":"PW","scienceBaseUri":"5a60fc3de4b06e28e9c23bfc","contributors":{"authors":[{"text":"Albanese, Gene","contributorId":200245,"corporation":false,"usgs":false,"family":"Albanese","given":"Gene","email":"","affiliations":[],"preferred":false,"id":722941,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":718102,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192670,"text":"70192670 - 2017 - Post-rift magmatic evolution of the eastern North American “passive-aggressive” margin","interactions":[],"lastModifiedDate":"2017-11-29T13:55:13","indexId":"70192670","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Post-rift magmatic evolution of the eastern North American “passive-aggressive” margin","docAbstract":"<p><span>Understanding the evolution of passive margins requires knowledge of temporal and chemical constraints on magmatism following the transition from supercontinent to rifting, to post-rifting evolution. The Eastern North American Margin (ENAM) is an ideal study location as several magmatic pulses occurred in the 200 My following rifting. In particular, the Virginia-West Virginia region of the ENAM has experienced two postrift magmatic pulses at ∼152 Ma and 47 Ma, and thus provides a unique opportunity to study the long-term magmatic evolution of passive margins. Here we present a comprehensive set of geochemical data that includes new&nbsp;</span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar ages, major and trace-element compositions, and analysis of radiogenic isotopes to further constrain their magmatic history. The Late Jurassic volcanics are bimodal, from basanites to phonolites, while the Eocene volcanics range from picrobasalt to rhyolite. Modeling suggests that the felsic volcanics from both the Late Jurassic and Eocene events are consistent with fractional crystallization. Sr-Nd-Pb systematics for the Late Jurassic event suggests HIMU and EMII components in the magma source that we interpret as upper mantle components rather than crustal interaction. Lithospheric delamination is the best hypothesis for magmatism in Virginia/West Virginia, due to tectonic instabilities that are remnant from the long-term evolution of this margin, resulting in a “passive-aggressive” margin that records multiple magmatic events long after rifting ended.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016GC006646","usgsCitation":"Mazza, S.E., Gazel, E., Johnson, E.A., Bizmis, M., McAleer, R., and Biryol, C.B., 2017, Post-rift magmatic evolution of the eastern North American “passive-aggressive” margin: Geochemistry, Geophysics, Geosystems, v. 18, no. 1, p. 3-22, https://doi.org/10.1002/2016GC006646.","productDescription":"20 p.","startPage":"3","endPage":"22","ipdsId":"IP-079810","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":349550,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.6667,\n              38.1667\n            ],\n            [\n              -78.6667,\n              38.1667\n            ],\n            [\n              -78.6667,\n              38.6667\n            ],\n            [\n              -79.6667,\n              38.6667\n            ],\n            [\n              -79.6667,\n              38.1667\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"18","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-09","publicationStatus":"PW","scienceBaseUri":"5a60fc3de4b06e28e9c23bff","contributors":{"authors":[{"text":"Mazza, Sarah E. 0000-0001-8091-1186","orcid":"https://orcid.org/0000-0001-8091-1186","contributorId":198664,"corporation":false,"usgs":false,"family":"Mazza","given":"Sarah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":716690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gazel, Esteban","contributorId":192876,"corporation":false,"usgs":false,"family":"Gazel","given":"Esteban","email":"","affiliations":[],"preferred":false,"id":716691,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Elizabeth A. 0000-0001-7244-6122","orcid":"https://orcid.org/0000-0001-7244-6122","contributorId":198665,"corporation":false,"usgs":false,"family":"Johnson","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":716692,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bizmis, Michael 0000-0002-4611-6928","orcid":"https://orcid.org/0000-0002-4611-6928","contributorId":198666,"corporation":false,"usgs":false,"family":"Bizmis","given":"Michael","email":"","affiliations":[],"preferred":false,"id":716693,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":5301,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan J.","email":"rmcaleer@usgs.gov","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":716689,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Biryol, C. Berk","contributorId":198667,"corporation":false,"usgs":false,"family":"Biryol","given":"C.","email":"","middleInitial":"Berk","affiliations":[],"preferred":false,"id":716694,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70189668,"text":"70189668 - 2017 - Mercury bioaccumulation in estuarine fishes: Novel insights from sulfur stable isotopes","interactions":[],"lastModifiedDate":"2017-11-22T17:03:21","indexId":"70189668","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Mercury bioaccumulation in estuarine fishes: Novel insights from sulfur stable isotopes","docAbstract":"<p><span>Estuaries are transitional habitats characterized by complex biogeochemical and ecological gradients that result in substantial variation in fish total mercury concentrations (THg). We leveraged these gradients and used carbon (δ</span><sup>13</sup><span>C), nitrogen (δ</span><sup>15</sup><span>N), and sulfur (δ</span><sup>34</sup><span>S) stable isotopes to examine the ecological and biogeochemical processes underlying THg bioaccumulation in fishes from the San Francisco Bay Estuary. We employed a tiered approach that first examined processes influencing variation in fish THg among wetlands, and subsequently examined the roles of habitat and within-wetland processes in generating larger-scale patterns in fish THg. We found that δ</span><sup>34</sup><span>S, an indicator of sulfate reduction and habitat specific-foraging, was correlated with fish THg at all three spatial scales. Over the observed ranges of δ</span><sup>34</sup><span>S, THg concentrations in fish increased by up to 860% within wetlands, 560% among wetlands, and 291% within specific impounded wetland habitats. In contrast, δ</span><sup>13</sup><span>C and δ</span><sup>15</sup><span>N were not correlated with THg among wetlands and were only important in low salinity impounded wetlands, possibly reflecting more diverse food webs in this habitat. Together, our results highlight the key roles of sulfur biogeochemistry and ecology in influencing estuarine fish THg, as well as the importance of fish ecology and habitat in modulating the relationships between biogeochemical processes and Hg bioaccumulation.</span></p>","language":"English","publisher":"ACS","doi":"10.1021/acs.est.6b05325","usgsCitation":"Willacker, J.J., Eagles-Smith, C.A., and Ackerman, J., 2017, Mercury bioaccumulation in estuarine fishes: Novel insights from sulfur stable isotopes: Environmental Science & Technology, v. 51, no. 4, p. 2131-2139, https://doi.org/10.1021/acs.est.6b05325.","productDescription":"9 p.","startPage":"2131","endPage":"2139","ipdsId":"IP-080770","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":344071,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay Estuary","volume":"51","issue":"4","noUsgsAuthors":false,"publicationDate":"2017-02-01","publicationStatus":"PW","scienceBaseUri":"59706fb6e4b0d1f9f065a88a","contributors":{"authors":[{"text":"Willacker, James J. jwillacker@usgs.gov","contributorId":5614,"corporation":false,"usgs":true,"family":"Willacker","given":"James","email":"jwillacker@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":705690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":705691,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":705692,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193964,"text":"70193964 - 2017 - Ecosystem extent and fragmentation","interactions":[],"lastModifiedDate":"2017-12-01T10:08:01","indexId":"70193964","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Ecosystem extent and fragmentation","docAbstract":"<p>One of the candidate essential biodiversity variable (EBV) groups described in the seminal paper by Pereira et al. (2014) concerns Ecosystem Structure. This EBV group is distinguished from another EBV group which encompasses aspects of Ecosystem Function. While the Ecosystem Function EBV treats ecosystem processes like nutrient cycling, primary production, trophic interactions, etc., the Ecosystem Structure EBV relates to the set of biophysical properties of ecosystems that create biophysical environmental context, confer biophysical structure, and occur geographically. The Ecosystem Extent and Fragmentation EBV is one of the EBVs in the Ecosystem Structure EBV group.</p><p>Ecosystems are understood to exist at multiple scales, from very large areas (macro-ecosystems) like the Arctic tundra, for example, to something as small as a tree in an Amazonian rain forest. As such, ecosystems occupy space and therefore can be mapped across any geography of interest, whether that area of interest be a site, a nation, a region, a continent, or the planet. One of the most obvious and seemingly straightforward EBVs is Ecosystem Extent and Fragmentation. Ecosystem extent refers to the location and geographic distribution of ecosystems across landscapes or in the oceans, while ecosystem fragmentation refers to the spatial pattern and connectivity of ecosystem occurrences on the landscape.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"A sourcebook of methods and procedures for monitoring essential biodiversity variables in tropical forests with remote sensing","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"Global Observation of Forest Cover and Land Dynamics","usgsCitation":"Sayre, R., and Hansen, M., 2017, Ecosystem extent and fragmentation, 7 p.","productDescription":"7 p.","startPage":"60","endPage":"66","ipdsId":"IP-082059","costCenters":[{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true}],"links":[{"id":349612,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":349611,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.gofcgold.wur.nl/sites/gofcgold-geobon_biodiversitysourcebook.php"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc3de4b06e28e9c23be9","contributors":{"authors":[{"text":"Sayre, Roger 0000-0001-6703-7105 rsayre@usgs.gov","orcid":"https://orcid.org/0000-0001-6703-7105","contributorId":191629,"corporation":false,"usgs":true,"family":"Sayre","given":"Roger","email":"rsayre@usgs.gov","affiliations":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true}],"preferred":true,"id":721739,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hansen, Matt","contributorId":61330,"corporation":false,"usgs":true,"family":"Hansen","given":"Matt","email":"","affiliations":[],"preferred":false,"id":721740,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70192567,"text":"70192567 - 2017 - Fish assemblages","interactions":[],"lastModifiedDate":"2018-01-26T14:20:55","indexId":"70192567","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Fish assemblages","docAbstract":"<p><span>Methods to sample fishes in stream ecosystems and to analyze the raw data, focusing primarily on assemblage-level (all fish species combined) analyses, are presented in this chapter. We begin with guidance on sample site selection, permitting for fish collection, and information-gathering steps to be completed prior to conducting fieldwork. Basic sampling methods (visual surveying, electrofishing, and seining) are presented with specific instructions for estimating population sizes via visual, capture-recapture, and depletion surveys, in addition to new guidance on environmental DNA (eDNA) methods. Steps to process fish specimens in the field including the use of anesthesia and preservation of whole specimens or tissue samples (for genetic or stable isotope analysis) are also presented. Data analysis methods include characterization of size-structure within populations, estimation of species richness and diversity, and application of fish functional traits. We conclude with three advanced topics in assemblage-level analysis: multidimensional scaling (MDS), ecological networks, and loop analysis.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Methods in stream ecology, 3rd Edition","language":"English","publisher":"Academic Press","doi":"10.1016/B978-0-12-416558-8.00016-0","isbn":"9780124165588","usgsCitation":"McGarvey, D.J., Falke, J.A., Li, H.W., and Li, J., 2017, Fish assemblages, chap. <i>of</i> Methods in stream ecology, 3rd Edition, p. 321-353, https://doi.org/10.1016/B978-0-12-416558-8.00016-0.","productDescription":"33 p.","startPage":"321","endPage":"353","ipdsId":"IP-070364","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":350703,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6c4c95e4b06e28e9cabb04","contributors":{"editors":[{"text":"Hauer, F. Richard","contributorId":189116,"corporation":false,"usgs":false,"family":"Hauer","given":"F.","email":"","middleInitial":"Richard","affiliations":[],"preferred":false,"id":725976,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Lamberti, G. A.","contributorId":44229,"corporation":false,"usgs":false,"family":"Lamberti","given":"G.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":725977,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"McGarvey, Daniel J.","contributorId":201505,"corporation":false,"usgs":false,"family":"McGarvey","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":725973,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716229,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, Hiram W.","contributorId":18724,"corporation":false,"usgs":true,"family":"Li","given":"Hiram","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":725974,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Li, Judith","contributorId":74622,"corporation":false,"usgs":true,"family":"Li","given":"Judith","email":"","affiliations":[],"preferred":false,"id":725975,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192516,"text":"70192516 - 2017 - Impacts of mesquite distribution on seasonal space use of lesser prairie-chickens","interactions":[],"lastModifiedDate":"2017-10-26T13:45:42","indexId":"70192516","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Impacts of mesquite distribution on seasonal space use of lesser prairie-chickens","docAbstract":"<p><span>Loss of native grasslands by anthropogenic disturbances has reduced availability and connectivity of habitat for many grassland species. A primary threat to contiguous grasslands is the encroachment of woody vegetation, which is spurred by disturbances that take on many forms from energy development, fire suppression, and grazing. These disturbances are exacerbated by natural- and human-driven cycles of changes in climate punctuated by drought and desertification&nbsp;conditions. Encroachment of honey mesquite&nbsp;</span><i>(Prosopis glandulosa)</i><span><span>&nbsp;</span>into the prairies of southeastern New Mexico has potentially limited habitat for numerous grassland species, including lesser prairie-chickens<span>&nbsp;</span></span><i>(Tympanuchus pallidicinctus)</i><span>. To determine the magnitude of impacts of distribution of mesquite and how lesser prairie-chickens respond to mesquite presence on the landscape in southeastern New Mexico, we evaluated seasonal space use of lesser prairie-chickens in the breeding and nonbreeding seasons. We derived several remotely sensed spatial metrics to characterize the distribution of mesquite. We then used these data to create population-level resource utilization functions and predict intensity of use of lesser prairie-chickens across our study area. Home ranges were smaller in the breeding season compared with the nonbreeding season; however, habitat use was similar across seasons. During both seasons, lesser prairie-chickens used areas closer to leks and largely avoided areas with mesquite. Relative to the breeding season, during the nonbreeding season habitat use suggested a marginal increase in mesquite within areas of low intensity of use, yet aversion to mesquite was strong in areas of medium to high intensity of use. To our knowledge, our study is the first to demonstrate a negative behavioral response by lesser prairie-chickens to woody encroachment in native grasslands. To mitigate one of the possible limiting factors for lesser prairie-chickens, we suggest future conservation strategies be employed by<span> land managersto</span>&nbsp;reduce mesquite abundance in the southern portion of their current range.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2016.09.006","usgsCitation":"Boggie, M.A., Strong, C.R., Lusk, D., Carleton, S.A., Gould, W., Howard, R.L., Nichols, C.T., Falkowski, M.J., and Hagen, C.A., 2017, Impacts of mesquite distribution on seasonal space use of lesser prairie-chickens: Rangeland Ecology and Management, v. 70, no. 1, p. 68-77, https://doi.org/10.1016/j.rama.2016.09.006.","productDescription":"10 p.","startPage":"68","endPage":"77","ipdsId":"IP-073814","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470250,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rama.2016.09.006","text":"Publisher Index Page"},{"id":347478,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","county":"Chaves County, Lea 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T.","contributorId":193024,"corporation":false,"usgs":false,"family":"Nichols","given":"Clay","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":716415,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Falkowski, Michael J.","contributorId":198547,"corporation":false,"usgs":false,"family":"Falkowski","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":716416,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hagen, Christian A.","contributorId":177795,"corporation":false,"usgs":false,"family":"Hagen","given":"Christian","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":716417,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
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