In this study, “naturalized” daily streamflow records, created by the U.S. Army Corps of Engineers and the Bureau of Reclamation, were used to compute 1-, 3-, 7-, 10-, 15-, 30-, and 60-day annual maximum streamflow durations, which are running averages of daily streamflow for the number of days in each duration. Once the annual maximum durations were computed, the floodduration frequencies could be estimated. The estimated flood-duration frequencies correspond to the 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent probabilities of their occurring or being exceeded each year. For this report, the focus was on the Willamette River Basin in Oregon, which is a subbasin of the Columbia River Basin. This study is part of a larger one encompassing the entire Columbia Basin.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181020","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers and the Bureau of Reclamation","usgsCitation":"Lind, G.D., and Stonewall, A.J., 2018, Preliminary flood-duration frequency estimates using naturalized streamflow records for the Willamette River Basin, Oregon: U.S. Geological Survey Open-File Report 2018-1020, 17 p., https://doi.org/10.3133/ofr20181020.","productDescription":"iv, 17 p.","numberOfPages":"26","onlineOnly":"Y","ipdsId":"IP-091315","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":351566,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1020/ofr20181020.pdf","text":"Report","size":"455 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1020"},{"id":351565,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1020/coverthb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Willamette River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124,\n 43.25\n ],\n [\n -121.75,\n 43.25\n ],\n [\n -121.75,\n 45.75\n ],\n [\n -124,\n 45.75\n ],\n [\n -124,\n 43.25\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Oregon Water Science Center
U.S. Geological Survey
2130 SW 5th Avenue
Portland, Oregon 97201
Active margin coastlines are distinguished by rock erosion that acts in two different directions: waves erode the coast horizontally or landwards, a process that creates sea cliffs; and rivers and streams erode the landscape vertically via channel incision. The relative rates of each process exert a dominant control on coastline morphology. Using a model of river channel incision and sea-cliff retreat, we explore how terrestrial and marine erosion compete to shape coastal topography, and specifically what conditions encourage the development of coastal knickpoints (i.e., a river or stream channels that end at a raised sea-cliff edge). We then compare results to actual landscapes. Model results and observations show that coastal knickpoint development is strongly dependent on drainage basin area, where knickpoints typically occur in drainage basins smaller than 5 × 105–6 × 106 m2, as well as channel geometry and sea-cliff retreat rate. In our study area, coastal knickpoints with persistent flow (waterfalls) are uncommon and form only within a small morphological window when 1) drainage basin area is large enough to sustain steady stream discharge, but not large enough to out-compete sea-cliff formation, 2) sea-cliff retreat is rapid, and 3) channel concavity is low so that channel slopes at the coast are high. This particular geomorphic combination can sustain sea-cliff formation even when streams tap into larger drainage basins with greater discharge and more stream power, and provides an initial explanation of why persistent coastal waterfalls are, along many coastlines, relatively rare features.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2017.12.035","usgsCitation":"Limber, P.W., and Barnard, P., 2018, Coastal knickpoints and the competition between fluvial and wave-driven erosion on rocky coastlines: Geomorphology, v. 306, p. 1-12, https://doi.org/10.1016/j.geomorph.2017.12.035.","productDescription":"12 p.","startPage":"1","endPage":"12","ipdsId":"IP-085956","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469001,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geomorph.2017.12.035","text":"Publisher Index Page"},{"id":351512,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.67285156250001,\n 34.252676117101515\n ],\n [\n -119.72900390625001,\n 34.252676117101515\n ],\n [\n -119.72900390625001,\n 40.48038142908172\n ],\n [\n -124.67285156250001,\n 40.48038142908172\n ],\n [\n -124.67285156250001,\n 34.252676117101515\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"306","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee731e4b0da30c1bfc1a4","contributors":{"authors":[{"text":"Limber, Patrick W. 0000-0002-8207-3750 plimber@usgs.gov","orcid":"https://orcid.org/0000-0002-8207-3750","contributorId":196794,"corporation":false,"usgs":true,"family":"Limber","given":"Patrick","email":"plimber@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":728286,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":147147,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":728287,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70195383,"text":"70195383 - 2018 - Beyond clay: Towards an improved set of variables for predicting soil organic matter content","interactions":[],"lastModifiedDate":"2018-02-22T13:00:21","indexId":"70195383","displayToPublicDate":"2018-02-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Beyond clay: Towards an improved set of variables for predicting soil organic matter content","docAbstract":"Improved quantification of the factors controlling soil organic matter (SOM) stabilization at continental to global scales is needed to inform projections of the largest actively cycling terrestrial carbon pool on Earth, and its response to environmental change. Biogeochemical models rely almost exclusively on clay content to modify rates of SOM turnover and fluxes of climate-active CO2 to the atmosphere. Emerging conceptual understanding, however, suggests other soil physicochemical properties may predict SOM stabilization better than clay content. We addressed this discrepancy by synthesizing data from over 5,500 soil profiles spanning continental scale environmental gradients. Here, we demonstrate that other physicochemical parameters are much stronger predictors of SOM content, with clay content having relatively little explanatory power. We show that exchangeable calcium strongly predicted SOM content in water-limited, alkaline soils, whereas with increasing moisture availability and acidity, iron- and aluminum-oxyhydroxides emerged as better predictors, demonstrating that the relative importance of SOM stabilization mechanisms scales with climate and acidity. These results highlight the urgent need to modify biogeochemical models to better reflect the role of soil physicochemical properties in SOM cycling.
","language":"English","publisher":"Springer","doi":"10.1007/s10533-018-0424-3","usgsCitation":"Rasmussen, C., Heckman, K., Wieder, W.R., Keiluweit, M., Lawrence, C.R., Berhe, A., Blankinship, J.C., Crow, S.E., Druhan, J., Hicks Pries, C.E., Marin-Spiotta, E., Plante, A.F., Schadel, C., Schmiel, J.P., Sierra, C., Thompson, A., and Wagai, R., 2018, Beyond clay: Towards an improved set of variables for predicting soil organic matter content: Biogeochemistry, v. 137, no. 3, p. 297-306, https://doi.org/10.1007/s10533-018-0424-3.","productDescription":"10 p.","startPage":"297","endPage":"306","ipdsId":"IP-092121","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":461045,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10533-018-0424-3","text":"Publisher Index 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R.","contributorId":75792,"corporation":false,"usgs":true,"family":"Wieder","given":"William","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":728291,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Keiluweit, Marco","contributorId":197918,"corporation":false,"usgs":false,"family":"Keiluweit","given":"Marco","email":"","affiliations":[],"preferred":false,"id":728292,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lawrence, Corey R. 0000-0001-6143-7781","orcid":"https://orcid.org/0000-0001-6143-7781","contributorId":202390,"corporation":false,"usgs":true,"family":"Lawrence","given":"Corey","email":"","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":728288,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Berhe, Asmeret Asefaw","contributorId":78258,"corporation":false,"usgs":true,"family":"Berhe","given":"Asmeret Asefaw","affiliations":[],"preferred":false,"id":728293,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Blankinship, Joseph C.","contributorId":197908,"corporation":false,"usgs":false,"family":"Blankinship","given":"Joseph","email":"","middleInitial":"C.","affiliations":[{"id":34215,"text":"University of Arizona, Tucson, Arizona","active":true,"usgs":false}],"preferred":false,"id":728294,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Crow, Susan E.","contributorId":197920,"corporation":false,"usgs":false,"family":"Crow","given":"Susan","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":728295,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Druhan, Jennifer","contributorId":190442,"corporation":false,"usgs":false,"family":"Druhan","given":"Jennifer","affiliations":[],"preferred":false,"id":728296,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hicks Pries, Caitlin E.","contributorId":202382,"corporation":false,"usgs":false,"family":"Hicks Pries","given":"Caitlin","email":"","middleInitial":"E.","affiliations":[{"id":36404,"text":"Dartmouth University","active":true,"usgs":false}],"preferred":false,"id":728297,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Marin-Spiotta, Erika","contributorId":202383,"corporation":false,"usgs":false,"family":"Marin-Spiotta","given":"Erika","email":"","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":728298,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Plante, Alain F.","contributorId":198719,"corporation":false,"usgs":false,"family":"Plante","given":"Alain","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":728299,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Schadel, Christina","contributorId":202385,"corporation":false,"usgs":false,"family":"Schadel","given":"Christina","email":"","affiliations":[{"id":36405,"text":"University of Northern Arizona","active":true,"usgs":false}],"preferred":false,"id":728300,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Schmiel, Joshua P.","contributorId":202386,"corporation":false,"usgs":false,"family":"Schmiel","given":"Joshua","email":"","middleInitial":"P.","affiliations":[{"id":28103,"text":"University of California - Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":728301,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Sierra, Carlos A.","contributorId":30521,"corporation":false,"usgs":true,"family":"Sierra","given":"Carlos A.","affiliations":[],"preferred":false,"id":728302,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Thompson, Aaron","contributorId":190447,"corporation":false,"usgs":false,"family":"Thompson","given":"Aaron","affiliations":[],"preferred":false,"id":728303,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Wagai, Rota","contributorId":202389,"corporation":false,"usgs":false,"family":"Wagai","given":"Rota","email":"","affiliations":[{"id":36407,"text":"Institute for Agro-Environmental Sciences","active":true,"usgs":false}],"preferred":false,"id":728304,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}} ,{"id":70195380,"text":"70195380 - 2018 - Stress rotation across the Cascadia megathrust requires a weak subduction plate boundary at seismogenic depths","interactions":[],"lastModifiedDate":"2018-02-13T11:43:43","indexId":"70195380","displayToPublicDate":"2018-02-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Stress rotation across the Cascadia megathrust requires a weak subduction plate boundary at seismogenic depths","docAbstract":"The Mendocino Triple Junction region is the most seismically active part of the Cascadia Subduction Zone. The northward moving Pacific plate collides with the subducting Gorda plate causing intense internal deformation within it. Here we show that the stress field rotates rapidly with depth across the thrust interface from a strike-slip regime within the subducting plate, reflecting the Pacific plate collision, to a thrust regime in the overriding plate. We utilize a dense focal mechanism dataset, including observations from the Cascadia Initiative ocean bottom seismograph experiment, to constrain the stress orientations. To quantify the implications of this rotation for the strength of the plate boundary, we designed an inversion that solves for the absolute stress tensors in a three-layer model subject to assumptions about the strength of the subducting mantle. Our results indicate that the shear stress on the plate boundary fault is likely no more than about ∼50 MPa at ∼20 km depth. Regardless of the assumed mantle strength, we infer a relatively weak megathrust fault with an effective friction coefficient of ∼0 to 0.2 at seismogenic depths. Such a low value for the effective friction coefficient requires a combination of high fluid pressures and/or fault-zone minerals with low inherent friction in the region where a great earthquake is expected in Cascadia.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2018.01.002","usgsCitation":"Li, D., McGuire, J.J., Liu, Y., and Hardebeck, J.L., 2018, Stress rotation across the Cascadia megathrust requires a weak subduction plate boundary at seismogenic depths: Earth and Planetary Science Letters, v. 485, p. 55-64, https://doi.org/10.1016/j.epsl.2018.01.002.","productDescription":"10 p.","startPage":"55","endPage":"64","ipdsId":"IP-088612","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":469002,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2018.01.002","text":"Publisher Index Page"},{"id":351522,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -125.2,\n 41.2\n ],\n [\n -123.6,\n 41.2\n ],\n [\n -123.6,\n 40\n ],\n [\n -125.2,\n 40\n ],\n [\n -125.2,\n 41.2\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"485","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee731e4b0da30c1bfc1a6","contributors":{"authors":[{"text":"Li, Duo","contributorId":202366,"corporation":false,"usgs":false,"family":"Li","given":"Duo","email":"","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":728275,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, Jeffrey J. 0000-0001-9235-2166 jmcguire@whoi.edu","orcid":"https://orcid.org/0000-0001-9235-2166","contributorId":177447,"corporation":false,"usgs":false,"family":"McGuire","given":"Jeffrey","email":"jmcguire@whoi.edu","middleInitial":"J.","affiliations":[{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false}],"preferred":false,"id":728276,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, Yajing","contributorId":202367,"corporation":false,"usgs":false,"family":"Liu","given":"Yajing","email":"","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":728277,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hardebeck, Jeanne L. 0000-0002-6737-7780 jhardebeck@usgs.gov","orcid":"https://orcid.org/0000-0002-6737-7780","contributorId":841,"corporation":false,"usgs":true,"family":"Hardebeck","given":"Jeanne","email":"jhardebeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":728274,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70195389,"text":"70195389 - 2018 - Iterative near-term ecological forecasting: Needs, opportunities, and challenges","interactions":[],"lastModifiedDate":"2020-09-01T14:24:32.599572","indexId":"70195389","displayToPublicDate":"2018-02-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Iterative near-term ecological forecasting: Needs, opportunities, and challenges","docAbstract":"Two foundational questions about sustainability are “How are ecosystems and the services they provide going to change in the future?” and “How do human decisions affect these trajectories?” Answering these questions requires an ability to forecast ecological processes. Unfortunately, most ecological forecasts focus on centennial-scale climate responses, therefore neither meeting the needs of near-term (daily to decadal) environmental decision-making nor allowing comparison of specific, quantitative predictions to new observational data, one of the strongest tests of scientific theory. Near-term forecasts provide the opportunity to iteratively cycle between performing analyses and updating predictions in light of new evidence. This iterative process of gaining feedback, building experience, and correcting models and methods is critical for improving forecasts. Iterative, near-term forecasting will accelerate ecological research, make it more relevant to society, and inform sustainable decision-making under high uncertainty and adaptive management. Here, we identify the immediate scientific and societal needs, opportunities, and challenges for iterative near-term ecological forecasting. Over the past decade, data volume, variety, and accessibility have greatly increased, but challenges remain in interoperability, latency, and uncertainty quantification. Similarly, ecologists have made considerable advances in applying computational, informatic, and statistical methods, but opportunities exist for improving forecast-specific theory, methods, and cyberinfrastructure. Effective forecasting will also require changes in scientific training, culture, and institutions. The need to start forecasting is now; the time for making ecology more predictive is here, and learning by doing is the fastest route to drive the science forward.
","language":"English","publisher":"PNAS","doi":"10.1073/pnas.1710231115","usgsCitation":"Dietze, M., Fox, A., Beck-Johnson, L., Betancourt, J.L., Hooten, M., Jarnevich, C.S., Keitt, T.H., Kenney, M.A., Laney, C.M., Larsen, L., Loescher, H.W., Lunch, C.K., Pijanowski, B., Randerson, J.T., Read, E., Tredennick, A.T., Vargas, R., Weathers, K.C., and White, E.P., 2018, Iterative near-term ecological forecasting: Needs, opportunities, and challenges: Proceedings of the National Academy of Sciences of the United States of America, v. 115, no. 7, p. 1424-1432, https://doi.org/10.1073/pnas.1710231115.","productDescription":"9 p.","startPage":"1424","endPage":"1432","ipdsId":"IP-087870","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":469004,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1073/pnas.1710231115","text":"External Repository"},{"id":351515,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"115","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-30","publicationStatus":"PW","scienceBaseUri":"5afee730e4b0da30c1bfc19e","contributors":{"authors":[{"text":"Dietze, Mike","contributorId":190102,"corporation":false,"usgs":false,"family":"Dietze","given":"Mike","email":"","affiliations":[],"preferred":false,"id":728347,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fox, Andrew","contributorId":190103,"corporation":false,"usgs":false,"family":"Fox","given":"Andrew","affiliations":[],"preferred":false,"id":728348,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beck-Johnson, Lindsay","contributorId":202412,"corporation":false,"usgs":false,"family":"Beck-Johnson","given":"Lindsay","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":728349,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":438,"text":"National Research Program - 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2018 - Evidence and opportunities for integrating landscape ecology into natural resource planning across multiple-use landscapes","interactions":[],"lastModifiedDate":"2018-02-14T14:01:53","indexId":"70195387","displayToPublicDate":"2018-02-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5476,"text":"Current Landscape Ecology Reports","active":true,"publicationSubtype":{"id":10}},"title":"Evidence and opportunities for integrating landscape ecology into natural resource planning across multiple-use landscapes","docAbstract":"Enhancing natural resource management has been a focus of landscape ecology since its inception, but numerous authors argue that landscape ecology has not yet been effective in achieving the underlying goal of planning and designing sustainable landscapes. We developed nine questions reflecting the application of fundamental research topics in landscape ecology to the landscape planning process and reviewed two recent landscape-scale plans in western North America for evidence of these concepts in plan decisions. Both plans considered multiple resources, uses, and values, including energy development, recreation, conservation, and protection of cultural and historic resources. We found that land use change and multiscale perspectives of resource uses and values were very often apparent in planning decisions. Pattern-process relationships, connectivity and fragmentation, ecosystem services, landscape history, and climate change were reflected less frequently. Landscape sustainability was considered only once in the 295 decisions reviewed, and outputs of landscape models were not referenced. We suggest six actionable opportunities for further integrating landscape ecology concepts into landscape planning efforts: 1) use landscape sustainability as an overarching goal, 2) adopt a broad ecosystem services framework, 3) explore the role of landscape history more comprehensively, 4) regularly consider and accommodate potential effects of climate change, 5) use landscape models to support plan decisions, and 6) promote a greater presence of landscape ecologists within agencies that manage large land bases and encourage active involvement in agency planning efforts. Together these actions may improve the defensibility, durability, and sustainability of landscape plan decisions.
","language":"English","publisher":"Springer","doi":"10.1007/s40823-018-0029-5","usgsCitation":"Trammel, E.J., Carter, S.K., Haby, T.S., and Taylor, J.J., 2018, Evidence and opportunities for integrating landscape ecology into natural resource planning across multiple-use landscapes: Current Landscape Ecology Reports, v. 3, no. 1, p. 1-11, https://doi.org/10.1007/s40823-018-0029-5.","productDescription":"11 p.","startPage":"1","endPage":"11","ipdsId":"IP-086644","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":351523,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-16","publicationStatus":"PW","scienceBaseUri":"5afee731e4b0da30c1bfc1a0","contributors":{"authors":[{"text":"Trammel, E. Jamie","contributorId":202408,"corporation":false,"usgs":false,"family":"Trammel","given":"E.","email":"","middleInitial":"Jamie","affiliations":[{"id":36420,"text":"University of Alaska - Anchorage","active":true,"usgs":false}],"preferred":false,"id":728339,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carter, Sarah K. 0000-0003-3778-8615","orcid":"https://orcid.org/0000-0003-3778-8615","contributorId":192418,"corporation":false,"usgs":true,"family":"Carter","given":"Sarah","email":"","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":728338,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haby, Travis S. 0000-0003-2204-9967","orcid":"https://orcid.org/0000-0003-2204-9967","contributorId":138831,"corporation":false,"usgs":false,"family":"Haby","given":"Travis","email":"","middleInitial":"S.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":728340,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, Jason J.","contributorId":202410,"corporation":false,"usgs":false,"family":"Taylor","given":"Jason","email":"","middleInitial":"J.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":728341,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70195396,"text":"70195396 - 2018 - The metabolic regimes of flowing waters","interactions":[],"lastModifiedDate":"2018-03-12T13:06:17","indexId":"70195396","displayToPublicDate":"2018-02-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"The metabolic regimes of flowing waters","docAbstract":"The processes and biomass that characterize any ecosystem are fundamentally constrained by the total amount of energy that is either fixed within or delivered across its boundaries. Ultimately, ecosystems may be understood and classified by their rates of total and net productivity and by the seasonal patterns of photosynthesis and respiration. Such understanding is well developed for terrestrial and lentic ecosystems but our understanding of ecosystem phenology has lagged well behind for rivers. The proliferation of reliable and inexpensive sensors for monitoring dissolved oxygen and carbon dioxide is underpinning a revolution in our understanding of the ecosystem energetics of rivers. Here, we synthesize our current understanding of the drivers and constraints on river metabolism, and set out a research agenda aimed at characterizing, classifying and modeling the current and future metabolic regimes of flowing waters.
","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lno.10726","usgsCitation":"Bernhardt, E., Heffernan, J.B., Grimm, N.B., Stanley, E.H., Harvey, J., Arroita, M., Appling, A.P., Cohen, M., McDowell, W.H., Hall, R., Read, J.S., Roberts, B., Stets, E.G., and Yackulic, C.B., 2018, The metabolic regimes of flowing waters: Limnology and Oceanography, v. 63, no. S1, p. 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Without humans or other land mammals, diverse and peculiar birds evolved in isolation, including several flightless moa species, the giant pouakai eagle (Harpagornis moorei), the kiwi (Apteryx mantelli), and the kakapo parrot (Strigops habroptila). This unique community has fascinated paleoecologists, who have spent almost two centuries devising new ways to glean information from ancient bird remains. In PNAS, Boast et al. (1) apply one recent technological advance, ancient DNA (aDNA) metabarcoding, to confirm previous discoveries and report new details about moa and kakapo diets, parasites, and niches. Their efforts confirm Zealandia was a lot different before humans arrived.
","language":"English","publisher":"National Academy of Sciences of United States of America","doi":"10.1073/pnas.1722598115","usgsCitation":"Lafferty, K.D., and Hopkins, S.R., 2018, Unique parasite aDNA in moa coprolites from New Zealand suggests mass parasite extinctions followed human-induced megafauna extinctions: PNAS, v. 115, no. 7, p. 1411-1413, https://doi.org/10.1073/pnas.1722598115.","productDescription":"3 p.","startPage":"1411","endPage":"1413","ipdsId":"IP-093819","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":469003,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.1722598115","text":"Publisher Index Page"},{"id":352774,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"115","issue":"7","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-13","publicationStatus":"PW","scienceBaseUri":"5afee730e4b0da30c1bfc198","contributors":{"authors":[{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":731685,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hopkins, Skylar R.","contributorId":203515,"corporation":false,"usgs":false,"family":"Hopkins","given":"Skylar","email":"","middleInitial":"R.","affiliations":[{"id":36642,"text":"National Center for Ecological Analysis and Synthesis, Santa Barbara,","active":true,"usgs":false}],"preferred":false,"id":731686,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70195365,"text":"fs20173092 - 2018 - Assessment of undiscovered oil and gas resources in the North-Central Montana Province, 2017","interactions":[],"lastModifiedDate":"2018-06-06T13:05:26","indexId":"fs20173092","displayToPublicDate":"2018-02-12T13:25:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-3092","title":"Assessment of undiscovered oil and gas resources in the North-Central Montana Province, 2017","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated mean undiscovered, technically recoverable resources of 55 million barrels of oil and 846 billion cubic feet of gas in the North-Central Montana Province.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173092","usgsCitation":"Schenk, C.J., Mercier, T.J., Brownfield, M.E., Tennyson, M.E., Woodall, C.A., Le, P.A., Klett, T.R., Gaswirth, S.B., Finn, T.M., Pitman, J.K., Marra, K.R., and Leathers-Miller, H.M., 2018, Assessment of undiscovered oil and gas resources in the North-Central Montana Province, 2017: U.S. Geological Survey Fact Sheet 2017–3092, 4 p., https://doi.org/10.3133/fs20173092.","productDescription":"4 p.","onlineOnly":"N","ipdsId":"IP-090424","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":351440,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/fs/2013/3013","text":"Fact Sheet 2013–3013:","linkHelpText":"Assessment of Undiscovered Oil Resources in the Bakken and Three Forks Formations, Williston Basin Province, Montana, North Dakota, and South Dakota, 2013"},{"id":351439,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20173032","text":"Fact Sheet 2017–3032: ","linkHelpText":"Assessment of Undiscovered Continuous Oil and Gas Resources in the Heath Formation, Central Montana and Western North Dakota, 2016"},{"id":351438,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3092/fs20173092.pdf","text":"Report","size":"2.54 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3092"},{"id":351437,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3092/coverthb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"North-Central Montana Province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113,\n 45.5\n ],\n [\n -104,\n 45.5\n ],\n [\n -104,\n 49\n ],\n [\n -113,\n 49\n ],\n [\n -113,\n 45.5\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
In the northwestern Lake Tahoe Basin, Pleistocene basaltic and trachyandesitic lavas form a small volcanic field comprising ∼1 km3 of lava that erupted from seven vents. Most of these lavas erupted subaerially and produced lava flows. However, where they flowed into an early Lake Tahoe (Proto-Tahoe), they produced deltas consisting of hydrovolcanic breccias as well as pillow lavas draped downslope, pillow breccias, hyaloclastites, and mixtures of lava and wet sediments. Consequently, various former shorelines of Proto-Tahoe are marked by subaerial lava flows overlying subaqueous lava deltas. Isolated explosive interactions produced lapilli tuff cones that built upward from vents on the lake floor or grew as littoral cones where subaerial lava flows crossed the shoreline. Six new 40Ar/39Ar ages define three Pleistocene episodes when lava erupted subaerially and flowed into Proto-Tahoe. Three cycles of canyon damming by lava and down-cutting occurred at the outlet of Proto-Tahoe in the Truckee River Canyon. The canyon was dammed at 2.3 Ma by basaltic lavas at Rampart, which raised lake level from ∼1897 m above sea level to 2048 m. The canyon was again dammed at 2.1 Ma by basaltic lavas at the outlet of Proto-Tahoe near Rampart, which raised lake levels from ∼1914 m to 2073 m. And finally, the canyon was again dammed at 0.94 Ma by trachyandesitic lavas at Thunder Cliffs, which raised lake level to 2085 m. Hence, ancient shorelines that are nearly 200 m above the present lake level are documented at 0.94, 2.1, and 2.3 Ma. The present outlet of Lake Tahoe through the Truckee River canyon has been operative for at least 2.3 million years. Even though the three lava dams are now eroded away, the repeated construction (and removal by erosion) of lava dams has diminished the erosion and deepening of the Truckee River Canyon that otherwise would have occurred. Hence, the soft-sediment sill of Lake Tahoe has been protected, which has helped to maintain the great depth of the lake (500 m). The timing of this repetitive volcanic activity raises implications for future volcanic eruptions and their hazards. The lake could be dammed by lava again causing extensive shoreline flooding as its level rose, or rapid dam failure could cause extensive downstream flooding along the Truckee River on its path to Reno.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES01551.1","usgsCitation":"Kortemeier, W., Calvert, A.T., Moore, J.G., and Schweickert, R., 2018, Pleistocene volcanism and shifting shorelines at Lake Tahoe, California: Geosphere, v. 14, no. 21, p. 812-834, https://doi.org/10.1130/GES01551.1.","productDescription":"23 p.","startPage":"812","endPage":"834","ipdsId":"IP-085551","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":469005,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges01551.1","text":"Publisher Index Page"},{"id":387723,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Lake Tahoe","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.421142578125,\n 38.74551518488265\n ],\n [\n -119.66308593749999,\n 38.74551518488265\n ],\n [\n -119.66308593749999,\n 39.41922073655956\n ],\n [\n -120.421142578125,\n 39.41922073655956\n ],\n [\n -120.421142578125,\n 38.74551518488265\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"14","issue":"21","noUsgsAuthors":false,"publicationDate":"2018-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Kortemeier, Winifred","contributorId":261779,"corporation":false,"usgs":false,"family":"Kortemeier","given":"Winifred","email":"","affiliations":[{"id":53013,"text":"Western Nevada College","active":true,"usgs":false}],"preferred":false,"id":820640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calvert, Andrew T. 0000-0001-5237-2218 acalvert@usgs.gov","orcid":"https://orcid.org/0000-0001-5237-2218","contributorId":2694,"corporation":false,"usgs":true,"family":"Calvert","given":"Andrew","email":"acalvert@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":820641,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moore, James G. 0000-0002-7543-2401 jmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-7543-2401","contributorId":2892,"corporation":false,"usgs":true,"family":"Moore","given":"James","email":"jmoore@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":820642,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schweickert, Richard","contributorId":261780,"corporation":false,"usgs":false,"family":"Schweickert","given":"Richard","affiliations":[{"id":53014,"text":"Department of Geological Sciences and Engineering, University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":820643,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70227773,"text":"70227773 - 2018 - Resilience concepts in psychiatry demonstrated with bipolar disorder","interactions":[],"lastModifiedDate":"2022-01-31T16:24:04.390307","indexId":"70227773","displayToPublicDate":"2018-02-09T09:58:51","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10072,"text":"International Journal of Bipolar Disorders","active":true,"publicationSubtype":{"id":10}},"title":"Resilience concepts in psychiatry demonstrated with bipolar disorder","docAbstract":"The term resilience describes stress–response patterns of subjects across scientific disciplines. In ecology, advances have been made to clearly distinguish resilience definitions based on underlying mechanistic assumptions. Engineering resilience (rebound) is used for describing the ability of subjects to recover from adverse conditions (disturbances), and is the rate of recovery. In contrast, the ecological resilience definition considers a systemic change: when complex systems (including humans) respond to disturbances by reorganizing into a new regime (stable state) where structural and functional aspects have fundamentally changed relative to the prior regime. In this context, resilience is an emergent property of complex systems. We argue that both resilience definitions and uses are appropriate in psychology and psychiatry, but although the differences are subtle, the implications and uses are profoundly different.
We borrow from the field of ecology to discuss resilience concepts in the mental health sciences.
In psychology and psychiatry, the prevailing view of resilience is adaptation to, coping with, and recovery (engineering resilience) from adverse social and environmental conditions. Ecological resilience may be useful for describing vulnerability, onset, and the irreversibility patterns of mental disorders. We discuss this in the context of bipolar disorder.
Rebound, adaptation, and coping are processes that are subsumed within the broader systemic organization of humans, from which ecological resilience emanates. Discerning resilience concepts in psychology and psychiatry has potential for a mechanistically appropriate contextualization of mental disorders at large. This might contribute to a refinement of theory and contextualize clinical practice within the broader systemic functioning of mental illnesses.
","language":"English","publisher":"Springer","doi":"10.1186/s40345-017-0112-6","usgsCitation":"Angeler, D., Allen, C.R., and Persson, M., 2018, Resilience concepts in psychiatry demonstrated with bipolar disorder: International Journal of Bipolar Disorders, v. 6, 2, 8 p., https://doi.org/10.1186/s40345-017-0112-6.","productDescription":"2, 8 p.","ipdsId":"IP-092342","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":469006,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40345-017-0112-6","text":"Publisher Index Page"},{"id":395145,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","noUsgsAuthors":false,"publicationDate":"2018-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Angeler, David G.","contributorId":25027,"corporation":false,"usgs":true,"family":"Angeler","given":"David G.","affiliations":[],"preferred":false,"id":832311,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":832178,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Persson, Maj-Liz","contributorId":272839,"corporation":false,"usgs":false,"family":"Persson","given":"Maj-Liz","email":"","affiliations":[],"preferred":false,"id":832312,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70217882,"text":"70217882 - 2018 - Results of the 2010-2011 East-Central Adirondack Stream Survey (ECASS)","interactions":[],"lastModifiedDate":"2021-02-09T13:39:27.05271","indexId":"70217882","displayToPublicDate":"2018-02-09T07:35:58","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Results of the 2010-2011 East-Central Adirondack Stream Survey (ECASS)","docAbstract":"No abstract available.
","language":"English","publisher":"New York State Energy Research and Development Authority","collaboration":"New York State Energy Research and Development Authority","usgsCitation":"Lawrence, G.B., George, S.D., Burns, D., Baldigo, B.P., Passy, S., Roy, K.M., and Pound, K.L., 2018, Results of the 2010-2011 East-Central Adirondack Stream Survey (ECASS), ix, 89 p.","productDescription":"ix, 89 p.","ipdsId":"IP-098505","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":383154,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":383153,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.nyserda.ny.gov/About/Publications/Research-and-Development-Technical-Reports/Environmental-Research-and-Development-Technical-Reports"}],"country":"United States","state":"New York","otherGeospatial":"Adirondack region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.69580078125001,\n 43.77109381775648\n ],\n [\n -75.06958007812501,\n 42.988576458321816\n ],\n [\n -73.32275390625,\n 43.11702412135048\n ],\n [\n -73.1689453125,\n 45.07352060670971\n ],\n [\n -74.89379882812501,\n 44.91035917458492\n ],\n [\n -75.69580078125001,\n 43.77109381775648\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810023,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810027,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burns, Douglas A. 0000-0001-6516-2869","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":202943,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas A.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810028,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":1234,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":810029,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Passy, Sophia","contributorId":248812,"corporation":false,"usgs":false,"family":"Passy","given":"Sophia","affiliations":[{"id":50025,"text":"Associate Professor, University of Texas at Arlington","active":true,"usgs":false}],"preferred":false,"id":810025,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roy, Karen M.","contributorId":204095,"corporation":false,"usgs":false,"family":"Roy","given":"Karen","email":"","middleInitial":"M.","affiliations":[{"id":36838,"text":"Division of Air Resources, New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":810024,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pound, Katrina L.","contributorId":248833,"corporation":false,"usgs":false,"family":"Pound","given":"Katrina","email":"","middleInitial":"L.","affiliations":[{"id":50034,"text":"University of Texas, Arlington","active":true,"usgs":false}],"preferred":false,"id":810026,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70195349,"text":"70195349 - 2018 - Post-breeding migration and connectivity of red knots in the Western Atlantic","interactions":[],"lastModifiedDate":"2018-02-09T11:55:43","indexId":"70195349","displayToPublicDate":"2018-02-09T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Post-breeding migration and connectivity of red knots in the Western Atlantic","docAbstract":"Red knots (Calidris canutus rufa) have 3 distinct nonbreeding regions: 1 in the southeastern United States and Caribbean, another on the northeast coast of Brazil in the Maranhão region, and a third along the Patagonian coasts of Chile and Argentina. Effective conservation and recovery of this threatened long-distance migrant will require knowledge of population structure, migration ecology, and abundance and distribution throughout the annual cycle. We conducted a stopover population and biogeographic assessment of knots at the Altamaha River Delta, Georgia, an important stopover area in the southeastern United States. We estimated stopover population size and stopover duration during post-breeding migration in 2011 at the Altamaha study area using mark-resight data, and we inferred nonbreeding regions for this stopover population using stable isotope ratios of carbon and nitrogen in feathers, and observations (sightings and captures) during boreal winter from across the hemisphere. With an integrated Bayesian analysis of all these data, we also estimated the number of birds in the southeastern United States and northern Brazil during boreal winter. For mark-resight analyses in Georgia, we made observations of marked individuals during 14 weeks from early August to early November 2011 and detected 814 individually marked birds. We used the Jolly-Seber mark-recapture model and estimated the southbound passage population at approximately 23,400 red knots. In ongoing studies elsewhere, isotope samples were collected from 175 (21%) of the 814 birds detected in our study, and ≥1 sighting or capture record during boreal winter was located in data repositories for 659 birds (81%). Isotopic signatures and boreal winter records indicate that the majority (82–96%) of the birds that stopped at the Altamaha Delta spend the boreal winter in the northern part of the nonbreeding range (southeast USA, Caribbean, and northern Brazil). Knots migrating to the southeastern United States, Caribbean, or Brazil remained on the Altamaha Delta for 42 days, whereas birds migrating to Tierra del Fuego remained only 21 days. Combining our estimate of the Altamaha stopover population size (23,400 birds) and the estimated proportion in the northern nonbreeding region (82–96%), we derived a minimum estimate of the number of knots in the southeastern United States, Caribbean, and northern South America during the boreal winter: approximately 20,800 knots, of which approximately 10,400 knots occupy the southeastern United States and 5,400 occupy Brazil. Our results provide additional evidence that coastal Georgia is an important migration area for red knots, and provide information about population structure and migratory connectivity that will be valuable for conservation planning.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21389","usgsCitation":"Lyons, J.E., Winn, B., Keyes, T., and Kalasz, K.S., 2018, Post-breeding migration and connectivity of red knots in the Western Atlantic: Journal of Wildlife Management, v. 82, p. 383-396, https://doi.org/10.1002/jwmg.21389.","productDescription":"14 p.","startPage":"383","endPage":"396","ipdsId":"IP-086607","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":351422,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","county":"Gylnn County, McIntosh County","otherGeospatial":"Altamaha River Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.50619506835938,\n 31.208103321325254\n ],\n [\n -81.16561889648438,\n 31.208103321325254\n ],\n [\n -81.16561889648438,\n 31.52470272697062\n ],\n [\n -81.50619506835938,\n 31.52470272697062\n ],\n [\n -81.50619506835938,\n 31.208103321325254\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"82","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-23","publicationStatus":"PW","scienceBaseUri":"5a7ec171e4b00f54eb25a747","contributors":{"authors":[{"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":727979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Winn, Bradford","contributorId":202233,"corporation":false,"usgs":false,"family":"Winn","given":"Bradford","email":"","affiliations":[{"id":36377,"text":"Manomet","active":true,"usgs":false}],"preferred":false,"id":727980,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keyes, Timothy","contributorId":202234,"corporation":false,"usgs":false,"family":"Keyes","given":"Timothy","email":"","affiliations":[{"id":36378,"text":"Georgia Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":727981,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kalasz, Kevin S.","contributorId":202235,"corporation":false,"usgs":false,"family":"Kalasz","given":"Kevin","email":"","middleInitial":"S.","affiliations":[{"id":36379,"text":"Delaware Division of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":727982,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70195345,"text":"70195345 - 2018 - Vegetation cover, tidal amplitude and land area predict short-term marsh vulnerability in Coastal Louisiana","interactions":[],"lastModifiedDate":"2018-11-14T10:04:51","indexId":"70195345","displayToPublicDate":"2018-02-09T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Vegetation cover, tidal amplitude and land area predict short-term marsh vulnerability in Coastal Louisiana","docAbstract":"The loss of coastal marshes is a topic of great concern, because these habitats provide tangible ecosystem services and are at risk from sea-level rise and human activities. In recent years, significant effort has gone into understanding and modeling the relationships between the biological and physical factors that contribute to marsh stability. Simulation-based process models suggest that marsh stability is the product of a complex feedback between sediment supply, flooding regime and vegetation response, resulting in elevation gains sufficient to match the combination of relative sea-level rise and losses from erosion. However, there have been few direct, empirical tests of these models, because long-term datasets that have captured sufficient numbers of marsh loss events in the context of a rigorous monitoring program are rare. We use a multi-year data set collected by the Coastwide Reference Monitoring System (CRMS) that includes transitions of monitored vegetation plots to open water to build and test a predictive model of near-term marsh vulnerability. We found that despite the conclusions of previous process models, elevation change had no ability to predict the transition of vegetated marsh to open water. However, we found that the processes that drive elevation change were significant predictors of transitions. Specifically, vegetation cover in prior year, land area in the surrounding 1 km2 (an estimate of marsh fragmentation), and the interaction of tidal amplitude and position in tidal frame were all significant factors predicting marsh loss. This suggests that 1) elevation change is likely better a predictor of marsh loss at time scales longer than we consider in this study and 2) the significant predictive factors affect marsh vulnerability through pathways other than elevation change, such as resistance to erosion. In addition, we found that, while sensitivity of marsh vulnerability to the predictive factors varied spatially across coastal Louisiana, vegetation cover in prior year was the best single predictor of subsequent loss in most sites followed by changes in percent land and tidal amplitude. The model’s predicted land loss rates correlated well with land loss rates derived from satellite data, although agreement was spatially variable. These results indicate 1) monitoring the loss of small scale vegetation plots can inform patterns of land loss at larger scales 2) the drivers of land loss vary spatially across coastal Louisiana, and 3) relatively simple models have potential as highly informative tools for bioassessment, directing future research, and management planning.","language":"English","publisher":"Springer","doi":"10.1007/s10021-018-0223-7","usgsCitation":"Schoolmaster, D., Stagg, C.L., Sharp, L.A., McGinnis, T.S., Wood, B., and Piazza, S., 2018, Vegetation cover, tidal amplitude and land area predict short-term marsh vulnerability in Coastal Louisiana: Ecosystems, v. 21, no. 7, p. 1335-1347, https://doi.org/10.1007/s10021-018-0223-7.","productDescription":"13 p.","startPage":"1335","endPage":"1347","ipdsId":"IP-079507","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":351402,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.44921875,\n 28.304380682962783\n ],\n [\n -87.71484375,\n 28.304380682962783\n ],\n [\n -87.71484375,\n 31.57853542647338\n ],\n [\n -95.44921875,\n 31.57853542647338\n ],\n [\n -95.44921875,\n 28.304380682962783\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","issue":"7","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-05","publicationStatus":"PW","scienceBaseUri":"5a7ec171e4b00f54eb25a74b","contributors":{"authors":[{"text":"Schoolmaster, Donald 0000-0003-0910-4458 schoolmasterd@usgs.gov","orcid":"https://orcid.org/0000-0003-0910-4458","contributorId":156350,"corporation":false,"usgs":true,"family":"Schoolmaster","given":"Donald","email":"schoolmasterd@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":727960,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stagg, Camille L. 0000-0002-1125-7253 staggc@usgs.gov","orcid":"https://orcid.org/0000-0002-1125-7253","contributorId":4111,"corporation":false,"usgs":true,"family":"Stagg","given":"Camille","email":"staggc@usgs.gov","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":727961,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sharp, Leigh Anne","contributorId":178418,"corporation":false,"usgs":false,"family":"Sharp","given":"Leigh","email":"","middleInitial":"Anne","affiliations":[],"preferred":false,"id":727962,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McGinnis, Tommy S.","contributorId":202225,"corporation":false,"usgs":false,"family":"McGinnis","given":"Tommy","email":"","middleInitial":"S.","affiliations":[{"id":17778,"text":"Coastal Protection and Restoration Authority of Louisiana","active":true,"usgs":false}],"preferred":false,"id":727963,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wood, Bernard","contributorId":202226,"corporation":false,"usgs":false,"family":"Wood","given":"Bernard","email":"","affiliations":[{"id":17778,"text":"Coastal Protection and Restoration Authority of Louisiana","active":true,"usgs":false}],"preferred":false,"id":727964,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Piazza, Sarai 0000-0001-6962-9008 piazzas@usgs.gov","orcid":"https://orcid.org/0000-0001-6962-9008","contributorId":169024,"corporation":false,"usgs":true,"family":"Piazza","given":"Sarai","email":"piazzas@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":727965,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70195354,"text":"70195354 - 2018 - Mortality trends in northern sea otters (Enhydra lutris kenyoni) collected from the coasts of Washington and Oregon (2002–15)","interactions":[],"lastModifiedDate":"2023-06-21T15:11:37.443228","indexId":"70195354","displayToPublicDate":"2018-02-09T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Mortality trends in northern sea otters (Enhydra lutris kenyoni) collected from the coasts of Washington and Oregon (2002–15)","title":"Mortality trends in northern sea otters (Enhydra lutris kenyoni) collected from the coasts of Washington and Oregon (2002–15)","docAbstract":"During 2002−15 we examined the causes of mortality in a population of northern sea otters (Enhydra lutris kenyoni). Beachcast sea otters were collected primarily from the coast of Washington. Although there are no permanent sea otter residents in Oregon, several beachcast otters were collected from the Oregon coast. Infectious diseases were the primary cause of death (56%) for otters we examined. Sarcocystosis was the leading infectious cause of death (54%) and was observed throughout the study period. Some infectious diseases, such as morbilliviral encephalitis and leptospirosis, were documented for a limited number of years and then not detected again despite continued testing for these pathogens in necropsied animals. Trauma was the second most common cause of death (14%) during the study period. The continued stable growth of the Washington population of otters suggests they are able to tolerate current mortality rates.
","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2017-05-122","usgsCitation":"White, C.L., Lankau, E.W., Lynch, D., Knowles, S., Schuler, K., Dubey, J.P., Shearn-Bochsler, V.I., Isidoro Ayza, M., and Thomas, N.J., 2018, Mortality trends in northern sea otters (Enhydra lutris kenyoni) collected from the coasts of Washington and Oregon (2002–15): Journal of Wildlife Diseases, v. 54, no. 2, p. 238-247, https://doi.org/10.7589/2017-05-122.","productDescription":"10 p.; Data Release","startPage":"238","endPage":"247","ipdsId":"IP-087486","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":351418,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418293,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7NK3C6R"}],"country":"United States","state":"Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.71103701362539,\n 48.951179588361384\n ],\n [\n -124.94292222763136,\n 48.951179588361384\n ],\n [\n -124.94292222763136,\n 41.92536119057266\n ],\n [\n -121.71103701362539,\n 41.92536119057266\n ],\n [\n -121.71103701362539,\n 48.951179588361384\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"54","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7ec16fe4b00f54eb25a73e","contributors":{"authors":[{"text":"White, C. LeAnn 0000-0002-5004-5165 clwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-5004-5165","contributorId":4315,"corporation":false,"usgs":true,"family":"White","given":"C.","email":"clwhite@usgs.gov","middleInitial":"LeAnn","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":728007,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lankau, Emily W. 0000-0002-7094-7780 elankau@usgs.gov","orcid":"https://orcid.org/0000-0002-7094-7780","contributorId":175270,"corporation":false,"usgs":true,"family":"Lankau","given":"Emily","email":"elankau@usgs.gov","middleInitial":"W.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":728008,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lynch, Deanna","contributorId":202253,"corporation":false,"usgs":false,"family":"Lynch","given":"Deanna","email":"","affiliations":[],"preferred":false,"id":728009,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Knowles, Susan 0000-0002-0254-6491 sknowles@usgs.gov","orcid":"https://orcid.org/0000-0002-0254-6491","contributorId":5254,"corporation":false,"usgs":true,"family":"Knowles","given":"Susan","email":"sknowles@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":728010,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schuler, Krysten L.","contributorId":11869,"corporation":false,"usgs":true,"family":"Schuler","given":"Krysten L.","affiliations":[],"preferred":false,"id":728011,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dubey, Jitender P.","contributorId":41707,"corporation":false,"usgs":true,"family":"Dubey","given":"Jitender","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":728012,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shearn-Bochsler, Valerie I. 0000-0002-5590-6518 vbochsler@usgs.gov","orcid":"https://orcid.org/0000-0002-5590-6518","contributorId":3234,"corporation":false,"usgs":true,"family":"Shearn-Bochsler","given":"Valerie","email":"vbochsler@usgs.gov","middleInitial":"I.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":728013,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Isidoro Ayza, Marcos 0000-0002-9380-7254 misidoroayza@usgs.gov","orcid":"https://orcid.org/0000-0002-9380-7254","contributorId":192509,"corporation":false,"usgs":true,"family":"Isidoro Ayza","given":"Marcos","email":"misidoroayza@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":728014,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Thomas, Nancy J. 0000-0002-0161-0391 nthomas@usgs.gov","orcid":"https://orcid.org/0000-0002-0161-0391","contributorId":1673,"corporation":false,"usgs":true,"family":"Thomas","given":"Nancy","email":"nthomas@usgs.gov","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":728015,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70194691,"text":"sir20175145 - 2018 - Distribution of effluent injected into the Boulder Zone of the Floridan aquifer system at the North District Wastewater Treatment Plant, southeastern Florida, 1997–2011","interactions":[],"lastModifiedDate":"2018-02-12T14:52:11","indexId":"sir20175145","displayToPublicDate":"2018-02-09T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-5145","title":"Distribution of effluent injected into the Boulder Zone of the Floridan aquifer system at the North District Wastewater Treatment Plant, southeastern Florida, 1997–2011","docAbstract":"Nonhazardous, secondarily treated, domestic wastewater (effluent) has been injected about 1 kilometer below land surface into the Boulder Zone of the Floridan aquifer system at the North District Wastewater Treatment Plant in southeastern Florida. The Boulder Zone contains saline, nonpotable water. Effluent transport out of the injection zone is a risk of underground effluent injection. At the North District Wastewater Treatment Plant, injected effluent was detected outside the Boulder Zone. The U.S. Geological Survey, in cooperation with Miami-Dade Water and Sewer Department, investigated effluent transport from the Boulder Zone to overlying permeable zones in the Floridan aquifer system.
One conceptual model is presented to explain the presence of effluent outside of the injection zone in which effluent injected into the Boulder Zone was transported to the Avon Park permeable zone, forced by buoyancy and injection pressure. In this conceptual model, effluent injected primarily into the Boulder Zone reaches a naturally occurring feature (a karst-collapse structure) near an injection well, through which the effluent is transported vertically upward to the uppermost major permeable zone of the Lower Floridan aquifer. The effluent is then transported laterally through the uppermost major permeable zone of the Lower Floridan aquifer to another naturally occurring feature northwest of the North District Wastewater Treatment Plant, through which it is then transported vertically upward into the Avon Park permeable zone. In addition, a leak within a monitoring well, between monitoring zones, allowed interflow between the Avon Park permeable zone and the Upper Floridan aquifer. A groundwater flow and effluent transport simulation of the hydrogeologic system at the North District Wastewater Treatment Plant, based on the hypothesized and non-unique conceptualization of the subsurface hydrogeology and flow system, generally replicated measured effluent constituent concentration trends. The model was calibrated to match observed concentration trends for total ammonium (NH4+) and total dissolved solids.
The investigation qualitatively indicates that fractures, karst-collapse structures, faults, or other hydrogeologic features may permit effluent injected into the Boulder Zone to be transported to overlying permeable zones in the Floridan aquifer system. These findings, however, are qualitative because the locations of transport pathways that might exist from the Boulder Zone to the Avon Park permeable zone are largely unknown.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175145","collaboration":"Prepared in cooperation with the Miami-Dade Water and Sewer Department","usgsCitation":"King, J.N., and Decker, J.D., 2018, Distribution of effluent injected into the Boulder Zone of the Floridan aquifer system at the North District Wastewater Treatment Plant, southeastern Florida, 1997–2011: U.S. Geological Survey Scientific Investigations Report 2017–5145, 52 p., https://doi.org/10.3133/sir20175145.","productDescription":"Report: vii, 52 p.; Data Release","numberOfPages":"64","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-049438","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":351307,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5145/sir20175145.pdf","text":"Report","size":"14.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5145"},{"id":351436,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5145/coverthb3.jpg"},{"id":351308,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F75H7DBF","text":"USGS data release","description":"USGS Data Release","linkHelpText":"SEAWAT Data Sets for Simulation of Effluent Transport in the Floridan Aquifer System at the North District Wastewater Treatment Plant, Southeastern Florida, 1997-2011: U.S. Geological Survey Data Release"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.5,\n 25.5\n ],\n [\n -80,\n 25.5\n ],\n [\n -80,\n 26.1667\n ],\n [\n -80.5,\n 26.1667\n ],\n [\n -80.5,\n 25.5\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Caribbean-Florida Water Science Center
U.S. Geological Survey
4446 Pet Lane, Suite 108
Lutz, FL 33559
Solving issues of intersource discrimination in archaeological obsidian is a recurring problem in geoarchaeological investigation, particularly since the number of known sources of archaeological obsidian worldwide has grown nearly exponentially in the last few decades, and the complexity of archaeological questions asked has grown equally so. These two parallel aspects of archaeological investigation have required more exacting understanding of the geological relationship between sources and the more accurate analysis of these sources of archaeological obsidian. This is particularly the case in the North American Southwest where the frequency of archaeological investigation is some of the highest in the world, and the theory and method used to interpret that record has become increasingly nuanced. Here, we attempt to unravel the elemental similarity of archaeological obsidian in the Mogollon-Datil volcanic province of southwestern New Mexico where some of the most important and extensively distributed sources are located and the elemental similarity between the sources is great even though the distance between the sources is large. Uniting elemental, isotopic, and geochronological analyses as an intensive pilot study, we unpack this complexity to provide greater understanding of these important sources of archaeological obsidian.
","language":"English","publisher":"Wiley","doi":"10.1002/gea.21672","usgsCitation":"Shackley, M.S., Morgan, L.E., and Pyle, D., 2018, Elemental, isotopic, and geochronological variability in Mogollon-Datil volcanic province archaeological obsidian, southwestern USA: Solving issues of intersource discrimination: Geoarchaeology, v. 33, no. 4, p. 486-497, https://doi.org/10.1002/gea.21672.","productDescription":"12 p.","startPage":"486","endPage":"497","ipdsId":"IP-079709","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":469007,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/gea.21672","text":"Publisher Index Page"},{"id":438016,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7TB152V","text":"USGS data release","linkHelpText":"Argon data for: Elemental, isotopic, and geochronological variability in Mogollon-Datil Volcanic Province, New Mexico"},{"id":351395,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Mogollon-Datil volcanic province","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.061279296875,\n 32.61161640317033\n ],\n [\n -106.787109375,\n 32.61161640317033\n ],\n [\n -106.787109375,\n 34.6241677899049\n ],\n [\n -109.061279296875,\n 34.6241677899049\n ],\n [\n -109.061279296875,\n 32.61161640317033\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"33","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-18","publicationStatus":"PW","scienceBaseUri":"5a7ec173e4b00f54eb25a764","contributors":{"authors":[{"text":"Shackley, M. Steven","contributorId":201765,"corporation":false,"usgs":false,"family":"Shackley","given":"M.","email":"","middleInitial":"Steven","affiliations":[{"id":36249,"text":"1Department of Anthropology University of California, Berkeley, USA; 2 Geoarchaeological XRF Laboratory Albuquerque, New Mexico, USA","active":true,"usgs":false}],"preferred":false,"id":726912,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morgan, Leah E. 0000-0001-9930-524X lemorgan@usgs.gov","orcid":"https://orcid.org/0000-0001-9930-524X","contributorId":176174,"corporation":false,"usgs":true,"family":"Morgan","given":"Leah","email":"lemorgan@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":726911,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pyle, Douglas","contributorId":201766,"corporation":false,"usgs":false,"family":"Pyle","given":"Douglas","email":"","affiliations":[{"id":36250,"text":"4SOEST TIMS Laboratory Department of Geology and Geophysics University of Hawai'i, Manoa, USA","active":true,"usgs":false}],"preferred":false,"id":726913,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70195350,"text":"70195350 - 2018 - Development of a multimetric index for integrated assessment of salt marsh ecosystem condition","interactions":[],"lastModifiedDate":"2018-02-09T12:23:09","indexId":"70195350","displayToPublicDate":"2018-02-09T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Development of a multimetric index for integrated assessment of salt marsh ecosystem condition","docAbstract":"Tools for assessing and communicating salt marsh condition are essential to guide decisions aimed at maintaining or restoring ecosystem integrity and services. Multimetric indices (MMIs) are increasingly used to provide integrated assessments of ecosystem condition. We employed a theory-based approach that considers the multivariate relationship of metrics with human disturbance to construct a salt marsh MMI for five National Parks in the northeastern USA. We quantified the degree of human disturbance for each marsh using the first principal component score from a principal components analysis of physical, chemical, and land use stressors. We then applied a metric selection algorithm to different combinations of about 45 vegetation and nekton metrics (e.g., species abundance, species richness, and ecological and functional classifications) derived from multi-year monitoring data. While MMIs derived from nekton or vegetation metrics alone were strongly correlated with human disturbance (r values from −0.80 to −0.93), an MMI derived from both vegetation and nekton metrics yielded an exceptionally strong correlation with disturbance (r = −0.96). Individual MMIs included from one to five metrics. The metric-assembly algorithm yielded parsimonious MMIs that exhibit the greatest possible correlations with disturbance in a way that is objective, efficient, and reproducible.
","language":"English","publisher":"Springer","doi":"10.1007/s12237-017-0293-3","usgsCitation":"Nagel, J.L., Neckles, H.A., Guntenspergen, G.R., Rocks, E.N., Schoolmaster, D., Grace, J.B., Skidds, D.E., and Stevens, S., 2018, Development of a multimetric index for integrated assessment of salt marsh ecosystem condition: Estuaries and Coasts, v. 41, no. 2, p. 334-348, https://doi.org/10.1007/s12237-017-0293-3.","productDescription":"15 p.","startPage":"334","endPage":"348","ipdsId":"IP-082798","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":351426,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-31","publicationStatus":"PW","scienceBaseUri":"5a7ec170e4b00f54eb25a745","contributors":{"authors":[{"text":"Nagel, Jessica L. 0000-0002-4437-0324 jnagel@usgs.gov","orcid":"https://orcid.org/0000-0002-4437-0324","contributorId":3976,"corporation":false,"usgs":true,"family":"Nagel","given":"Jessica","email":"jnagel@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":727984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neckles, Hilary A. 0000-0002-5662-2314 hneckles@usgs.gov","orcid":"https://orcid.org/0000-0002-5662-2314","contributorId":3821,"corporation":false,"usgs":true,"family":"Neckles","given":"Hilary","email":"hneckles@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":727983,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":727985,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rocks, Erika N.","contributorId":202236,"corporation":false,"usgs":false,"family":"Rocks","given":"Erika","email":"","middleInitial":"N.","affiliations":[{"id":36380,"text":"National Park Service Northeastern Coastal and Barrier Network","active":true,"usgs":false}],"preferred":false,"id":727986,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schoolmaster, Donald 0000-0003-0910-4458 schoolmasterd@usgs.gov","orcid":"https://orcid.org/0000-0003-0910-4458","contributorId":156350,"corporation":false,"usgs":true,"family":"Schoolmaster","given":"Donald","email":"schoolmasterd@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":727987,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grace, James B. 0000-0001-6374-4726 gracej@usgs.gov","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":884,"corporation":false,"usgs":true,"family":"Grace","given":"James","email":"gracej@usgs.gov","middleInitial":"B.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":727988,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Skidds, Dennis E.","contributorId":202237,"corporation":false,"usgs":false,"family":"Skidds","given":"Dennis","email":"","middleInitial":"E.","affiliations":[{"id":36381,"text":"National Park Service Northeast Coastal and Barrier Network","active":true,"usgs":false}],"preferred":false,"id":727989,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stevens, Sara","contributorId":202238,"corporation":false,"usgs":false,"family":"Stevens","given":"Sara","email":"","affiliations":[{"id":36381,"text":"National Park Service Northeast Coastal and Barrier Network","active":true,"usgs":false}],"preferred":false,"id":727990,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70194888,"text":"gip184 - 2018 - Cooperative Fish and Wildlife Research Units Program—2017 year in review postcard","interactions":[],"lastModifiedDate":"2018-06-06T13:12:04","indexId":"gip184","displayToPublicDate":"2018-02-08T10:30:00","publicationYear":"2018","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"184","title":"Cooperative Fish and Wildlife Research Units Program—2017 year in review postcard","docAbstract":"This postcard provides details about the Cooperative Fish and Wildlife Research Units Program—2017 Year in Review, U.S. Geological Survey Circular 1438, now available at https://doi.org/10.3133/cir1438. In this report, you will find details about the Cooperative Fish and Wildlife Research Units (CRU) Program relating to its background, fish and wildlife science, students, staffing, vacancies, research funding, outreach and training, science themes, accolades, and professional services. You will see snapshots of CRU projects with information on how results have been or are being applied by cooperators. This is the essence of what we do: science that matters.
Throughout the year, keep up with CRU research projects at http://www.coopunits.org.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip184","usgsCitation":"Organ, J.F., Thompson, J.D., Dennerline, D.E., and Childs, D.E., 2018, Cooperative Fish and Wildlife Research Units Program—2017 year in review postcard: U.S. Geological Survey General Information Product 184, 2 p., https://doi.org/10.3133/gip184.","productDescription":"Postcard: 6.00 x 4.25 inches","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-093130","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":351209,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/publication/cir1438","text":"Circular 1438","linkHelpText":"- Cooperative Fish and Wildlife Research Units Program—2017 Year in Review"},{"id":351208,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/0184/gip184.pdf","text":"Report","size":"1.45 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 184"},{"id":351207,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/0184/coverthb.jpg"}],"contact":"Cooperative Fish and Wildlife Research Units Program
U.S. Geological Survey
Mail Stop 303
12201 Sunrise Valley Drive
Reston, VA 20192
The Cooperative Fish and Wildlife Research Units Program was involved in a number of notable events during 2017, many concerning our personnel. Dr. Barry Grand left his position as Leader of the Alabama Cooperative Fish and Wildlife Research Unit to become the Cooperative Units Program Supervisor for the South, replacing Dr. Kevin Whalen who took over as Supervisor for the West. We welcomed Dr. Sarah Converse who left the Patuxent Wildlife Research Center to become Leader of the Washington Cooperative Fish and Wildlife Research Unit. Dr. Amanda Rosenberger joined the Tennessee Cooperative Fishery Research Unit as Assistant Leader, transferring from the Missouri Cooperative Unit. Dr. Scott Carleton left his position as Assistant Unit Leader in New Mexico to become Chief of the Region 2 Migratory Bird Program of the U.S. Fish and Wildlife Service.
We said farewell to many colleagues who retired. Their departure is bittersweet as we wish them health, happiness, and wellness in retirement. We will miss their companionship and the extraordinary contributions they have made to the Cooperative Fish and Wildlife Research Units Program and conservation.
The Cooperative Fish and Wildlife Research Units Program has a record high number of vacant scientist positions due to a combination of retirements and base funding short-falls. These issues are affecting our ability to meet cooperator needs. Yet, we remain highly productive. For example, this year we released a report (https://doi.org/10.3133/cir1427) containing abstracts of nearly 600 of our research projects, covering thematic areas ranging from advanced technologies to wildlife diseases. We provided highly competent, trained scientists and natural resource managers for our cooperators’ workforce. We delivered technical training and guidance to professional practitioners. We provided critical information to cooperators for decisions on species status assessments and management of species of greatest conservation need.
This year we had an active presence at major national meetings, including the North American Wildlife and Natural Resources Conference where we co-sponsored a workshop on continuing education as a means to bridge the gap between science and management. During the coming year, with support from the U.S. Geological Survey and our cooperators, we intend to reduce the number of vacancies in the program. It will take time and active support of our cooperators to get back to full strength, but I am committed to this goal and encouraged by the resolve of our partners. We look forward to an even more productive year in 2018!
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1438","isbn":"978-1-4113-4198-2","usgsCitation":"Organ, J.F., Thompson, J.D., Dennerline, D.E., and Childs, D.E., 2018, Cooperative Fish and Wildlife Research Units Program—2017 year in review (ver. 2.0, February 28, 2018): U.S. Geological Survey Circular 1438, 68 p., https://doi.org/10.3133/cir1438.","productDescription":"iii, 67 p.","numberOfPages":"76","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-090436","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":351198,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/cir1424","text":"Circular 1424","linkHelpText":"- Cooperative Fish and Wildlife Research Units Program—2016 Year in Review "},{"id":351200,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/fs20173022","text":"Fact Sheet 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Contrary to our hypothesis that the Cerutti Mastodon (CM) site represents a 130,000-year-old archaeological site, in the accompanying Comment Ferraro et al. argue that the site formed through ‘common’ geological and taphonomic processes. As a source for the cobbles that we interpreted as hammerstones and anvils, they postulate a previously unrecognized alluvial fan, later removed by fluvial winnowing that somehow left our five cobbles, refitting flakes, and fragments of stone, mastodon bone and teeth in place. There is no sedimentological or geomorphic evidence of an alluvial fan, and their scenario leaves unexplained a number of taphonomic features, including the two discrete concentrations in which were found cobbles, refit stones and bones, impact-fractured bones, side-by-side femoral heads and a tusk oriented vertically.
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(2017)’ by Robert Beschta and William Ripple","interactions":[],"lastModifiedDate":"2018-03-26T14:20:59","indexId":"70195080","displayToPublicDate":"2018-02-08T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Reply to ‘Wolf-triggered trophic cascades and stream channel dynamics in Olympic National Park: a comment on East et al. (2017)’ by Robert Beschta and William Ripple","docAbstract":"No abstract available.
","language":"English","publisher":"Wiley","doi":"10.1002/esp.4288","usgsCitation":"East, A.E., Jenkins, K.J., Happe, P.J., Bountry, J.A., Beechie, T.J., Mastin, M.C., Sankey, J.B., and Randle, T.J., 2018, Reply to ‘Wolf-triggered trophic cascades and stream channel dynamics in Olympic National Park: a comment on East et al. (2017)’ by Robert Beschta and William Ripple: Earth Surface Processes and Landforms, v. 43, no. 4, p. 936-939, https://doi.org/10.1002/esp.4288.","productDescription":"4 p.","startPage":"936","endPage":"939","ipdsId":"IP-089653","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":351345,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-26","publicationStatus":"PW","scienceBaseUri":"5a7d6ffae4b00f54eb244188","contributors":{"authors":[{"text":"East, Amy E. 0000-0002-9567-9460 aeast@usgs.gov","orcid":"https://orcid.org/0000-0002-9567-9460","contributorId":196364,"corporation":false,"usgs":true,"family":"East","given":"Amy","email":"aeast@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":726843,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenkins, Kurt J. 0000-0003-1415-6607 kurt_jenkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1415-6607","contributorId":3415,"corporation":false,"usgs":true,"family":"Jenkins","given":"Kurt","email":"kurt_jenkins@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":726844,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Happe, Patricia J.","contributorId":177053,"corporation":false,"usgs":false,"family":"Happe","given":"Patricia","email":"","middleInitial":"J.","affiliations":[{"id":20307,"text":"US National Park Service","active":true,"usgs":false}],"preferred":false,"id":726845,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bountry, Jennifer A.","contributorId":30114,"corporation":false,"usgs":false,"family":"Bountry","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":726846,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beechie, Timothy J.","contributorId":139468,"corporation":false,"usgs":false,"family":"Beechie","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":6578,"text":"National Marine Fisheries Service, Seattle, WA 98112, USA","active":true,"usgs":false}],"preferred":false,"id":726847,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mastin, Mark C. 0000-0003-4018-7861 mcmastin@usgs.gov","orcid":"https://orcid.org/0000-0003-4018-7861","contributorId":1652,"corporation":false,"usgs":true,"family":"Mastin","given":"Mark","email":"mcmastin@usgs.gov","middleInitial":"C.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":726848,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":726849,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Randle, Timothy J.","contributorId":90994,"corporation":false,"usgs":false,"family":"Randle","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":726850,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70195099,"text":"70195099 - 2018 - Vegetation responses to sagebrush-reduction treatments measured by satellites","interactions":[],"lastModifiedDate":"2018-02-08T11:26:12","indexId":"70195099","displayToPublicDate":"2018-02-08T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Vegetation responses to sagebrush-reduction treatments measured by satellites","docAbstract":"Time series of vegetative indices derived from satellite imagery constitute tools to measure ecological effects of natural and management-induced disturbances to ecosystems. Over the past century, sagebrush-reduction treatments have been applied widely throughout western North America to increase herbaceous vegetation for livestock and wildlife. We used indices from satellite imagery to 1) quantify effects of prescribed-fire, herbicide, and mechanical treatments on vegetative cover, productivity, and phenology, and 2) describe how vegetation changed over time following these treatments. We hypothesized that treatments would increase herbaceous cover and accordingly shift phenologies towards those typical of grass-dominated systems. We expected prescribed burns would lead to the greatest and most-prolonged effects on vegetative cover and phenology, followed by herbicide and mechanical treatments. Treatments appeared to increase herbaceous cover and productivity, which coincided with signs of earlier senescence − signals expected of grass-dominated systems, relative to sagebrush-dominated systems. Spatial heterogeneity for most phenometrics was lower in treated areas relative to controls, which suggested treatment-induced homogenization of vegetative communities. Phenometrics that explain spring migrations of ungulates mostly were unaffected by sagebrush treatments. Fire had the strongest effect on vegetative cover, and yielded the least evidence for sagebrush recovery. Overall, treatment effects were small relative to those reported from field-based studies for reasons most likely related to sagebrush recovery, treatment specification, and untreated patches within mosaicked treatment applications. Treatment effects were also small relative to inter-annual variation in phenology and productivity that was explained by temperature, snowpack, and growing-season precipitation. Our results indicated that cumulative NDVI, late-season phenometrics, and spatial heterogeneity of several phenometrics may serve as useful indicators of vegetative change in sagebrush ecosystems.
Understanding how wide-ranging animals use landscapes in which human use is highly heterogeneous is important for determining patterns of human–wildlife conflict and designing mitigation strategies. Here, we show how biological sign surveys in forested components of a human-dominated landscape can be combined with human interviews in agricultural portions of a landscape to provide a full picture of seasonal use of different landscape components by wide-ranging animals and resulting human–wildlife conflict. We selected Asian elephants (Elephas maximus) in Nepal to illustrate this approach. Asian elephants are threatened throughout their geographic range, and there are large gaps in our understanding of their landscape-scale habitat use. We identified all potential elephant habitat in Nepal and divided the potential habitat into sampling units based on a 10 km by 10 km grid. Forested areas within grids were surveyed for signs of elephant use, and local villagers were interviewed regarding elephant use of agricultural areas and instances of conflict. Data were analyzed using single-season and multi-season (dynamic) occupancy models. A single-season occupancy model applied to data from 139 partially or wholly forested grid cells estimated that 0.57 of grid cells were used by elephants. Dynamic occupancy models fit to data from interviews across 158 grid cells estimated that monthly use of non-forested, human-dominated areas over the preceding year varied between 0.43 and 0.82 with a minimum in February and maximum in October. Seasonal patterns of crop raiding by elephants coincided with monthly elephant use of human-dominated areas, and serious instances of human–wildlife conflict were common. Efforts to mitigate human–elephant conflict in Nepal are likely to be most effective if they are concentrated during August through December when elephant use of human-dominated landscapes and human–elephant conflict are most common.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/03949370.2017.1405847","usgsCitation":"Lamichhane, B.R., Subedi, N., Pokheral, C.P., Dhakal, M., Acharya, K.P., Pradhan, N.M., Smith, J.L., Malla, S., Thakuri, B.S., and Yackulic, C.B., 2018, Using interviews and biological sign surveys to infer seasonal use of forested and agricultural portions of a human-dominated landscape by Asian elephants in Nepal: Ethology Ecology and Evolution, v. 30, no. 4, p. 331-347, https://doi.org/10.1080/03949370.2017.1405847.","productDescription":"17 p.","startPage":"331","endPage":"347","ipdsId":"IP-082625","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":351344,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Nepal","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[88.12044,27.87654],[88.04313,27.44582],[88.1748,26.81041],[88.06024,26.41462],[87.22747,26.3979],[86.02439,26.63098],[85.25178,26.7262],[84.67502,27.2349],[83.30425,27.36451],[81.99999,27.92548],[81.0572,28.4161],[80.08842,28.79447],[80.47672,29.72987],[81.11126,30.18348],[81.5258,30.42272],[82.32751,30.11527],[83.33712,29.46373],[83.89899,29.32023],[84.23458,28.83989],[85.01164,28.64277],[85.82332,28.20358],[86.95452,27.97426],[88.12044,27.87654]]]},\"properties\":{\"name\":\"Nepal\"}}]}","volume":"30","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-18","publicationStatus":"PW","scienceBaseUri":"5a7d6ffae4b00f54eb24418e","contributors":{"authors":[{"text":"Lamichhane, Babu Ram","contributorId":201694,"corporation":false,"usgs":false,"family":"Lamichhane","given":"Babu","email":"","middleInitial":"Ram","affiliations":[{"id":36232,"text":"National Trust for Nature Conservation, Khumaltar, POB 3712, Lalitpur, Nepal","active":true,"usgs":false}],"preferred":false,"id":726793,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Subedi, Naresh","contributorId":201695,"corporation":false,"usgs":false,"family":"Subedi","given":"Naresh","email":"","affiliations":[{"id":36232,"text":"National Trust for Nature Conservation, Khumaltar, POB 3712, Lalitpur, Nepal","active":true,"usgs":false}],"preferred":false,"id":726794,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pokheral, Chiranjibi Prasad","contributorId":201696,"corporation":false,"usgs":false,"family":"Pokheral","given":"Chiranjibi","email":"","middleInitial":"Prasad","affiliations":[{"id":36232,"text":"National Trust for Nature Conservation, Khumaltar, POB 3712, Lalitpur, Nepal","active":true,"usgs":false}],"preferred":false,"id":726795,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dhakal, Maheshwar","contributorId":201698,"corporation":false,"usgs":false,"family":"Dhakal","given":"Maheshwar","email":"","affiliations":[{"id":36233,"text":"Department of National Parks and Wildlife Conservation, Babarmahal, Kathmandu, Nepal","active":true,"usgs":false}],"preferred":false,"id":726797,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Acharya, Krishna Prasad","contributorId":201699,"corporation":false,"usgs":false,"family":"Acharya","given":"Krishna","email":"","middleInitial":"Prasad","affiliations":[{"id":36233,"text":"Department of National Parks and Wildlife Conservation, Babarmahal, Kathmandu, Nepal","active":true,"usgs":false}],"preferred":false,"id":726798,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pradhan, Narendra Man Babu","contributorId":201700,"corporation":false,"usgs":false,"family":"Pradhan","given":"Narendra","email":"","middleInitial":"Man Babu","affiliations":[{"id":36234,"text":"Bird Conservation Nepal, Lazimpat, Kathmandu, Nepal (Work was done when he was with WWF Nepal, Baluwatar, Kathmandu, Nepal)","active":true,"usgs":false}],"preferred":false,"id":726799,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smith, James L. 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David","affiliations":[{"id":36235,"text":"Department of Fisheries, Wildlife and Conservation Biology, Minnesota University, MN, USA","active":true,"usgs":false}],"preferred":false,"id":726800,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Malla, Sabita","contributorId":201702,"corporation":false,"usgs":false,"family":"Malla","given":"Sabita","email":"","affiliations":[{"id":36236,"text":"WWF Nepal, Baluwatar, Kathmandu","active":true,"usgs":false}],"preferred":false,"id":726801,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Thakuri, Bishnu Singh","contributorId":201697,"corporation":false,"usgs":false,"family":"Thakuri","given":"Bishnu","email":"","middleInitial":"Singh","affiliations":[{"id":36232,"text":"National Trust for Nature Conservation, Khumaltar, POB 3712, Lalitpur, Nepal","active":true,"usgs":false}],"preferred":false,"id":726796,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":726792,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ]}