Pharmaceuticals and personal care products (PPCPs) are ubiquitous in freshwater ecosystems worldwide and are recognized as contaminants of concern. Currently, contaminants of concern are classified for their persistence, bioaccumulation, and toxicity (PBT criteria). PPCPs are not classified as persistent organic pollutants (POPs), although some PPCPs share characteristics similar to POPs. For example, PPCPs are known to be pseudopersistent due to constant discharge into the environment, often at low concentrations. At commonly reported environmental concentrations, PPCPs are rarely toxic, but the ability of these compounds to disrupt ecological processes and functions in freshwater ecosystems is often overlooked. Herein we briefly summarize recent studies highlighting the potential ecological effects of PPCPs, including effects on key ecological processes (e.g. primary productivity and community respiration), and we propose that appropriate screening for harmful effects of PPCPs in surface waters should be expanded to include Ecologically Disrupting Compounds (EcoDC) in addition to the established PBT criteria.
","language":"English","publisher":"University of California Press","doi":"10.1525/elementa.252","usgsCitation":"Richmond, E., Grace, M.R., Kelly, J.R., Reisinger, A., Rosi, E.J., and Walters, D., 2017, Pharmaceuticals and personal care products (PPCPs) are ecological disrupting compounds (EcoDC): Elementa: Science of the Anthropocene, v. 5, p. 1-8, https://doi.org/10.1525/elementa.252.","productDescription":"Article 66; 8 p.","startPage":"1","endPage":"8","ipdsId":"IP-080525","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":470166,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/elementa.252","text":"Publisher Index Page"},{"id":351356,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-13","publicationStatus":"PW","scienceBaseUri":"5a7d7001e4b00f54eb2441f4","contributors":{"authors":[{"text":"Richmond, Erinn","contributorId":201755,"corporation":false,"usgs":false,"family":"Richmond","given":"Erinn","affiliations":[{"id":27278,"text":"Monash University","active":true,"usgs":false}],"preferred":false,"id":726895,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grace, Michael R.","contributorId":201756,"corporation":false,"usgs":false,"family":"Grace","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":36247,"text":"MONASH U","active":true,"usgs":false}],"preferred":false,"id":726896,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelly, John R.","contributorId":127362,"corporation":false,"usgs":false,"family":"Kelly","given":"John","email":"","middleInitial":"R.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":726897,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reisinger, Andrew","contributorId":201757,"corporation":false,"usgs":false,"family":"Reisinger","given":"Andrew","email":"","affiliations":[{"id":36248,"text":"Cary Institute of Ecosystem Studies","active":true,"usgs":false}],"preferred":false,"id":726898,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosi, Emma J.","contributorId":201758,"corporation":false,"usgs":false,"family":"Rosi","given":"Emma","email":"","middleInitial":"J.","affiliations":[{"id":36248,"text":"Cary Institute of Ecosystem Studies","active":true,"usgs":false}],"preferred":false,"id":726899,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walters, David M. 0000-0002-4237-2158 waltersd@usgs.gov","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":4444,"corporation":false,"usgs":true,"family":"Walters","given":"David M.","email":"waltersd@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":726894,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70195637,"text":"70195637 - 2017 - Low thinning and crown thinning of two severities as restoration tools at Redwood National Park","interactions":[],"lastModifiedDate":"2018-02-27T11:37:39","indexId":"70195637","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":32,"text":"General Technical Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"PSW-GTR-258","title":"Low thinning and crown thinning of two severities as restoration tools at Redwood National Park","docAbstract":"Interest in the restoration of second-growth forests has continued to increase in the redwood region, which has further increased the importance of evaluating restoration-based silvicultural strategies. This study assessed the short-term effectiveness of four silvicultural treatments (two silvicultural thinning methods, low thinning and crown thinning, and two basal area retentions, 80 percent and 45 percent) as forest restoration tools via analysis of relative basal area growth at Redwood National Park. Prior to treatment, the second-growth stand had more than 1,600 trees ha-1 and 70.0 m2 ha-1 basal area and consisted primarily of two species, Douglas-fir (Pseudotsuga menziesii(Mirb.) Franco) (the dominant species) and redwood (Sequoia sempervirens (D. Don) Endl.). Growth was enhanced for all treatments with 5-year net basal area gains of 28.4 percent for the lowretention crown thinning, 28.1 percent for the low-retention low thinning, 23.3 percent for the high-retention crown thinning, 19.1 percent for high-retention low thinning, and only 14.2 percent for the control. We conclude that all four thinning treatments improved tree growth; but among them, the low-retention treatments were most effective in accomplishing restoration objectives, while the high-retention low thinning was least effective. Increasing the array of silvicultural tools that Redwood National Park can use may prove helpful in accomplishing restoration goals in future projects.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Coast redwood science symposium—2016: Past successes and future direction","largerWorkSubtype":{"id":1,"text":"Federal Government Series"},"language":"English","publisher":"U.S. Department of Agriculture, U.S. Forest Service","usgsCitation":"Teraoka, J.R., van Mantgem, P.J., and Keyes, C., 2017, Low thinning and crown thinning of two severities as restoration tools at Redwood National Park: General Technical Report PSW-GTR-258, 8 p.","productDescription":"8 p.","startPage":"259","endPage":"266","ipdsId":"IP-080616","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":352072,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":351957,"type":{"id":15,"text":"Index Page"},"url":"https://www.fs.usda.gov/treesearch/pubs/55435"}],"country":"United States","state":"California","otherGeospatial":"Redwood National Park","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8ebe4b0da30c1bfc4dc","contributors":{"authors":[{"text":"Teraoka, Jason R","contributorId":202775,"corporation":false,"usgs":false,"family":"Teraoka","given":"Jason","email":"","middleInitial":"R","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":729519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"van Mantgem, Phillip J. 0000-0002-3068-9422 pvanmantgem@usgs.gov","orcid":"https://orcid.org/0000-0002-3068-9422","contributorId":2838,"corporation":false,"usgs":true,"family":"van Mantgem","given":"Phillip","email":"pvanmantgem@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":729518,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keyes, Christopher R.","contributorId":202776,"corporation":false,"usgs":false,"family":"Keyes","given":"Christopher R.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":729520,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70191108,"text":"70191108 - 2017 - Social-ecological outcomes in recreational fisheries: The interaction of lakeshore development and stocking","interactions":[],"lastModifiedDate":"2018-03-28T11:13:26","indexId":"70191108","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Social-ecological outcomes in recreational fisheries: The interaction of lakeshore development and stocking","docAbstract":"Many ecosystems continue to experience rapid transformations due to processes like land use change and resource extraction. A systems approach to maintaining natural resources focuses on how interactions and feedbacks among components of complex social‐ecological systems generate social and ecological outcomes. In recreational fisheries, residential shoreline development and fish stocking are two widespread human behaviors that influence fisheries, yet emergent social‐ecological outcomes from these potentially interacting behaviors remain under explored. We applied a social‐ecological systems framework using a simulation model and empirical data to determine whether lakeshore development is likely to promote stocking through its adverse effects on coarse woody habitat and thereby also on survival of juvenile and adult fish. We demonstrate that high lakeshore development is likely to generate dependency of the ecosystem on the social system, in the form of stocking. Further, lakeshore development can interact with social‐ecological processes to create deficits for state‐level governments, which threatens the ability to fund further ecosystem subsidies. Our results highlight the value of a social‐ecological framework for maintaining ecosystem services like recreational fisheries.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1433","usgsCitation":"Ziegler, J.P., Golebie, E.J., Jones, S., Weidel, B., and Solomon, C.T., 2017, Social-ecological outcomes in recreational fisheries: The interaction of lakeshore development and stocking: Ecological Applications, v. 27, no. 1, p. 56-65, https://doi.org/10.1002/eap.1433.","productDescription":"10 p.","startPage":"56","endPage":"65","ipdsId":"IP-070202","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":346109,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"1","noUsgsAuthors":false,"publicationDate":"2017-01-04","publicationStatus":"PW","scienceBaseUri":"59cb672fe4b017cf3141c687","contributors":{"authors":[{"text":"Ziegler, Jacob P.","contributorId":196715,"corporation":false,"usgs":false,"family":"Ziegler","given":"Jacob","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":711247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Golebie, Elizabeth J.","contributorId":196716,"corporation":false,"usgs":false,"family":"Golebie","given":"Elizabeth","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":711248,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Stuart E.","contributorId":22222,"corporation":false,"usgs":false,"family":"Jones","given":"Stuart E.","affiliations":[{"id":6966,"text":"Department of Biological Sciences, University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":711249,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":711250,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Solomon, Christopher T.","contributorId":34014,"corporation":false,"usgs":false,"family":"Solomon","given":"Christopher","email":"","middleInitial":"T.","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":711251,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70187104,"text":"70187104 - 2017 - Influence of repeated prescribed fire on tree growth and mortality in Pinus resinosa forests, northern Minnesota","interactions":[],"lastModifiedDate":"2017-04-25T10:29:31","indexId":"70187104","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1688,"text":"Forest Science","active":true,"publicationSubtype":{"id":10}},"title":"Influence of repeated prescribed fire on tree growth and mortality in Pinus resinosa forests, northern Minnesota","docAbstract":"Prescribed fire is widely used for ecological restoration and fuel reduction in fire-dependent ecosystems, most of which are also prone to drought. Despite the importance of drought in fire-adapted forests, little is known about cumulative effects of repeated prescribed burning on tree growth and related response to drought. Using dendrochronological data in red pine (Pinus resinosa Ait.)-dominated forests in northern Minnesota, USA, we examined growth responses before and after understory prescribed fires between 1960 and 1970, to assess whether repeated burning influences growth responses of overstory trees and vulnerability of overstory tree growth to drought. We found no difference in tree-level growth vulnerability to drought, expressed as growth resistance, resilience, and recovery, between areas receiving prescribed fire treatments and untreated forests. Annual mortality rates during the period of active burning were also low (less than 2%) in all treatments. These findings indicate that prescribed fire can be effectively integrated into management plans and climate change adaptation strategies for red pine forest ecosystems without significant short- or long-term negative consequences for growth or mortality rates of overstory trees.
","language":"English","publisher":"Society of American Foresters (SAF)","doi":"10.5849/forsci.16-035","usgsCitation":"Bottero, A., D’Amato, A.W., Palik, B.J., Kern, C.C., Bradford, J.B., and Scherer, S.S., 2017, Influence of repeated prescribed fire on tree growth and mortality in Pinus resinosa forests, northern Minnesota: Forest Science, v. 63, no. 1, p. 94-100, https://doi.org/10.5849/forsci.16-035.","productDescription":"7 p.","startPage":"94","endPage":"100","ipdsId":"IP-063609","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":470175,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5849/forsci.16-035","text":"Publisher Index Page"},{"id":340107,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","volume":"63","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59006063e4b0e85db3a5ddd3","contributors":{"authors":[{"text":"Bottero, Alessandra 0000-0002-0410-2675","orcid":"https://orcid.org/0000-0002-0410-2675","contributorId":190300,"corporation":false,"usgs":false,"family":"Bottero","given":"Alessandra","email":"","affiliations":[],"preferred":false,"id":692442,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"D’Amato, Anthony W.","contributorId":28140,"corporation":false,"usgs":false,"family":"D’Amato","given":"Anthony","email":"","middleInitial":"W.","affiliations":[{"id":13478,"text":"Department of Forest Resources, University of Minnesota, St. Paul, Minnesota (Correspondence to: russellm@umn.edu)","active":true,"usgs":false},{"id":6735,"text":"University of Vermont, Rubenstein School of Environment and Natural Resources","active":true,"usgs":false}],"preferred":false,"id":692443,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Palik, Brian J.","contributorId":190301,"corporation":false,"usgs":false,"family":"Palik","given":"Brian","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":692444,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kern, Christel C.","contributorId":191240,"corporation":false,"usgs":false,"family":"Kern","given":"Christel","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":692446,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":692441,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scherer, Sawyer S.","contributorId":191239,"corporation":false,"usgs":false,"family":"Scherer","given":"Sawyer","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":692445,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70179853,"text":"70179853 - 2017 - Human footprint affects US carbon balance more than climate change","interactions":[],"lastModifiedDate":"2017-01-19T16:06:14","indexId":"70179853","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Human footprint affects US carbon balance more than climate change","docAbstract":"The MC2 model projects an overall increase in carbon capture in conterminous United States during the 21st century while also simulating a rise in fire causing much carbon loss. Carbon sequestration in soils is critical to prevent carbon losses from future disturbances, and we show that natural ecosystems store more carbon belowground than managed systems do. Natural and human-caused disturbances affect soil processes that shape ecosystem recovery and competitive interactions between native, exotics, and climate refugees. Tomorrow's carbon budgets will depend on how land use, natural disturbances, and climate variability will interact and affect the balance between carbon capture and release.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Reference Module in Earth Systems and Environmental Sciences","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-409548-9.09770-0","usgsCitation":"Bachelet, D., Ferschweiler, K., Sheehan, T., Baker, B., Sleeter, B.M., and Zhu, Z., 2017, Human footprint affects US carbon balance more than climate change, chap. of Reference Module in Earth Systems and Environmental Sciences, https://doi.org/10.1016/B978-0-12-409548-9.09770-0.","ipdsId":"IP-083251","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":333485,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5881ded3e4b01192927d9f79","contributors":{"authors":[{"text":"Bachelet, Dominique","contributorId":178454,"corporation":false,"usgs":false,"family":"Bachelet","given":"Dominique","affiliations":[],"preferred":false,"id":658956,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferschweiler, Ken","contributorId":127604,"corporation":false,"usgs":false,"family":"Ferschweiler","given":"Ken","affiliations":[{"id":7074,"text":"Conservation Biology Institute, Covallis OR","active":true,"usgs":false}],"preferred":false,"id":658957,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sheehan, Tim","contributorId":178455,"corporation":false,"usgs":false,"family":"Sheehan","given":"Tim","email":"","affiliations":[],"preferred":false,"id":658958,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baker, Barry","contributorId":178456,"corporation":false,"usgs":false,"family":"Baker","given":"Barry","email":"","affiliations":[],"preferred":false,"id":658959,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sleeter, Benjamin M. 0000-0003-2371-9571 bsleeter@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-9571","contributorId":3479,"corporation":false,"usgs":true,"family":"Sleeter","given":"Benjamin","email":"bsleeter@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":658955,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhu, Zhiliang 0000-0002-6860-6936 zzhu@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-6936","contributorId":150078,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhiliang","email":"zzhu@usgs.gov","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true}],"preferred":true,"id":658960,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70182810,"text":"70182810 - 2017 - Geochemical evidence for a complex origin for the Kelso dunes, Mojave National Preserve, California USA","interactions":[],"lastModifiedDate":"2017-04-28T09:41:46","indexId":"70182810","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical evidence for a complex origin for the Kelso dunes, Mojave National Preserve, California USA","docAbstract":"The Kelso Dune field in southern California is intriguing because although it is of limited areal extent (~ 100 km2), it has a wide variety of dune forms and contains many active dunes (~ 40 km2), which is unusual in the Mojave Desert. Studies over the past eight decades have concluded that the dunes are derived primarily from a single source, Mojave River alluvium, under a dominant, westerly-to-northwesterly wind regime. The majority of these studies did not, however, present data to support the Mojave River as the only source. We conducted mineralogical and geochemical studies of most of the 14 geomorphically defined dune groups of the Kelso Dune field as well as potential sand sources, alluvial sediments from the surrounding mountain ranges. Results indicate that sands in the nine western dune groups have K/Rb and K/Ba (primarily from K-feldspar) compositions that are indistinguishable from Mojave River alluvium (westerly/northwesterly winds) and Budweiser Wash alluvium (southwesterly winds), permitting an interpretation of two sources. In contrast, sands from the five eastern dune groups have K/Rb and K/Ba values that indicate significant inputs from alluvial fan deposits of the Providence Mountains. This requires either rare winds from the east or southeast or, more likely, aeolian reworking of distal Providence Mountain fan sediments by winds from the west, at a rate greater than input from the Mojave River or other western sources. The results indicate that even a small dune field can have a complex origin, either from seasonally varying winds or complex alluvial-fan-dune interaction. Application of K/Rb and K/Ba in K-feldspar as a provenance indicator could be used in many of the world's ergs or sand seas, where dune origins are still not well understood or are controversial. Four examples are given from Africa and the Middle East where such an approach could yield useful new information about dune sand provenance.
","language":"English","publisher":"Elsevier ","doi":"10.1016/j.geomorph.2016.10.002","usgsCitation":"Muhs, D., Lancaster, N., and Skipp, G.L., 2017, Geochemical evidence for a complex origin for the Kelso dunes, Mojave National Preserve, California USA: Geomorphology, v. 276, p. 222-243, https://doi.org/10.1016/j.geomorph.2016.10.002.","productDescription":"22 p. ","startPage":"222","endPage":"243","ipdsId":"IP-072968","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":470172,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://zenodo.org/record/1258997","text":"Publisher Index Page"},{"id":336730,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"276","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b7eba1e4b01ccd5500bad7","chorus":{"doi":"10.1016/j.geomorph.2016.10.002","url":"http://dx.doi.org/10.1016/j.geomorph.2016.10.002","publisher":"Elsevier BV","authors":"Muhs Daniel R., Lancaster Nicholas, Skipp Gary L.","journalName":"Geomorphology","publicationDate":"1/2017"},"contributors":{"authors":[{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":168575,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel R.","email":"dmuhs@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":673844,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lancaster, Nicholas","contributorId":184242,"corporation":false,"usgs":false,"family":"Lancaster","given":"Nicholas","email":"","affiliations":[],"preferred":false,"id":673845,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skipp, Gary L. 0000-0002-9404-0980 gskipp@usgs.gov","orcid":"https://orcid.org/0000-0002-9404-0980","contributorId":2102,"corporation":false,"usgs":true,"family":"Skipp","given":"Gary","email":"gskipp@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":673846,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193025,"text":"70193025 - 2017 - Hydrochemical determination of source water contributions to Lake Lungo and Lake Ripasottile (central Italy)","interactions":[],"lastModifiedDate":"2017-11-12T11:35:55","indexId":"70193025","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5530,"text":"Journal of Limnology","onlineIssn":"1723-8633","active":true,"publicationSubtype":{"id":10}},"title":"Hydrochemical determination of source water contributions to Lake Lungo and Lake Ripasottile (central Italy)","docAbstract":"Lake Lungo and Lake Ripasottile are two shallow (4-5 m) lakes located in the Rieti Basin, central Italy, that have been described previously as surface outcroppings of the groundwater table. In this work, the two lakes as well as springs and rivers that represent their potential source waters are characterized physio-chemically and isotopically, using a combination of environmental tracers. Temperature and pH were measured and water samples were analyzed for alkalinity, major ion concentration, and stable isotope (δ2H, δ18O, δ13C of dissolved inorganic carbon, and δ34S and δ18O of sulfate) composition. Chemical data were also investigated in terms of local meteorological data (air temperature, precipitation) to determine the sensitivity of lake parameters to changes in the surrounding environment. Groundwater represented by samples taken from Santa Susanna Spring was shown to be distinct with SO42- and Mg2+ content of 270 and 29 mg/L, respectively, and heavy sulfate isotopic composition(δ34S=15.2 ‰ and δ18O=10‰). Outflow from the Santa Susanna Spring enters Lake Ripasottile via a canal and both spring and lake water exhibits the same chemical distinctions and comparatively low seasonal variability. Major ion concentrations in Lake Lungo are similar to the Vicenna Riara Spring and are interpreted to represent the groundwater locally recharged within the plain. The δ13CDIC exhibit the same groupings as the other chemical parameters, providing supporting evidence of the source relationships. Lake Lungo exhibited exceptional ranges of δ13CDIC (±5 ‰) and δ2H, δ18O (±5 ‰ and ±7 ‰, respectively), attributed to sensitivity to seasonal changes. The hydrochemistry results, particularly major ion data, highlight how the two lakes, though geographically and morphologically similar, represent distinct hydrochemical facies. These data also show a different response in each lake to temperature and precipitation patterns in the basin that may be attributed to lake water retention time. The sensitivity of each lake to meteorological patterns can be used to understand the potential effects from long-term climate variability.","language":"English","publisher":"PAGEPress Scientific Publications","publisherLocation":"Pavia, Italy","doi":"10.4081/jlimnol.2016.1576","usgsCitation":"Archer, C., Noble, P., Kreamer, D., Piscopo, V., Petitta, M., Rosen, M.R., Poulson, S.R., Piovesan, G., and Mensing, S., 2017, Hydrochemical determination of source water contributions to Lake Lungo and Lake Ripasottile (central Italy): Journal of Limnology, v. 76, no. 2, p. 326-342, https://doi.org/10.4081/jlimnol.2016.1576.","productDescription":"17 p.","startPage":"326","endPage":"342","ipdsId":"IP-079585","costCenters":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"links":[{"id":470178,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4081/jlimnol.2016.1576","text":"Publisher Index Page"},{"id":348621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","otherGeospatial":"Lake Lungo, Lake Ripasottile","volume":"76","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-21","publicationStatus":"PW","scienceBaseUri":"5a096bb1e4b09af898c94149","contributors":{"authors":[{"text":"Archer, Claire","contributorId":198952,"corporation":false,"usgs":false,"family":"Archer","given":"Claire","email":"","affiliations":[{"id":33648,"text":"Department of Geological Sciences and Engineering, University of Nevada","active":true,"usgs":false}],"preferred":false,"id":717688,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noble, Paula","contributorId":198953,"corporation":false,"usgs":false,"family":"Noble","given":"Paula","affiliations":[{"id":33648,"text":"Department of Geological Sciences and Engineering, University of Nevada","active":true,"usgs":false}],"preferred":false,"id":717689,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kreamer, David","contributorId":198954,"corporation":false,"usgs":false,"family":"Kreamer","given":"David","email":"","affiliations":[{"id":30777,"text":"Department of Geoscience, University of Nevada","active":true,"usgs":false}],"preferred":false,"id":717690,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Piscopo, Vincenzo","contributorId":198955,"corporation":false,"usgs":false,"family":"Piscopo","given":"Vincenzo","email":"","affiliations":[{"id":35390,"text":"Tuscia University","active":true,"usgs":false}],"preferred":false,"id":717691,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Petitta, Marco","contributorId":198956,"corporation":false,"usgs":false,"family":"Petitta","given":"Marco","email":"","affiliations":[{"id":35391,"text":"Sapienza University of Rome","active":true,"usgs":false}],"preferred":false,"id":717692,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rosen, Michael R. 0000-0003-3991-0522 mrosen@usgs.gov","orcid":"https://orcid.org/0000-0003-3991-0522","contributorId":495,"corporation":false,"usgs":true,"family":"Rosen","given":"Michael","email":"mrosen@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":717687,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Poulson, Simon R.","contributorId":187411,"corporation":false,"usgs":false,"family":"Poulson","given":"Simon","email":"","middleInitial":"R.","affiliations":[{"id":33648,"text":"Department of Geological Sciences and Engineering, University of Nevada","active":true,"usgs":false}],"preferred":false,"id":717693,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Piovesan, Gianluca","contributorId":198957,"corporation":false,"usgs":false,"family":"Piovesan","given":"Gianluca","email":"","affiliations":[{"id":35390,"text":"Tuscia University","active":true,"usgs":false}],"preferred":false,"id":717694,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mensing, Scott","contributorId":198958,"corporation":false,"usgs":false,"family":"Mensing","given":"Scott","affiliations":[{"id":33212,"text":"Department of Geography, University of NV","active":true,"usgs":false}],"preferred":false,"id":717695,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70179816,"text":"70179816 - 2017 - Riparian soil development linked to forest succession above and below dams along the Elwha River, Washington, USA","interactions":[],"lastModifiedDate":"2017-12-05T10:26:47","indexId":"70179816","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Riparian soil development linked to forest succession above and below dams along the Elwha River, Washington, USA","docAbstract":"Riparian forest soils can be highly dynamic, due to frequent fluvial disturbance, erosion, and sediment deposition, but effects of dams on riparian soils are poorly understood. We examined soils along toposequences within three river segments located upstream, between, and downstream of two dams on the Elwha River to evaluate relationships between riparian soil development and forest age, succession, and channel proximity, explore dam effects on riparian soils, and provide a baseline for the largest dam removal in history. We found that older, later-successional forests and geomorphic surfaces contained soils with finer texture and greater depth to cobble, supporting greater forest floor mass, mineral soil nutrient levels, and cation exchange. Forest stand age was a better predictor than channel proximity for many soil characteristics, though elevation and distance from the channel were often also important, highlighting how complex interactions between fluvial disturbance, sediment deposition, and biotic retention regulate soil development in this ecosystem. Soils between the dams, and to a lesser extent below the lower dam, had finer textures and higher mineral soil carbon, nitrogen, and cation exchange than above the dams. These results suggested that decreased fluvial disturbance below the dams, due to reduced sediment supply and channel stabilization, accelerated soil development. In addition, reduced sediment supply below the dams may have decreased soil phosphorus. Soil δ15N suggested that salmon exclusion by the dams had no discernable effect on nitrogen inputs to upstream soils. Recent dam removal may alter riparian soils further, with ongoing implications for riparian ecosystems.","language":"English","publisher":"Springer","doi":"10.1007/s10021-016-0080-1","usgsCitation":"Perry, L.G., Shafroth, P.B., and Perakis, S.S., 2017, Riparian soil development linked to forest succession above and below dams along the Elwha River, Washington, USA: Ecosystems, v. 20, no. 1, p. 104-129, https://doi.org/10.1007/s10021-016-0080-1.","productDescription":"26 p. ","startPage":"104","endPage":"129","ipdsId":"IP-073631","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":333422,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Elwa River ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.57421875,\n 48.14134883691423\n ],\n [\n -123.56460571289061,\n 48.12485115686402\n ],\n [\n -123.58245849609375,\n 48.068444087227775\n ],\n [\n -123.60099792480469,\n 48.03769224746972\n ],\n [\n -123.61061096191405,\n 48.00003067321041\n ],\n [\n -123.61473083496094,\n 47.984866421810175\n ],\n [\n -123.49250793457031,\n 47.891024843906955\n ],\n [\n -123.47602844238281,\n 47.86200993068552\n ],\n [\n -123.47602844238281,\n 47.819148694192286\n ],\n [\n -123.46572875976561,\n 47.77625204393233\n ],\n [\n -123.46916198730467,\n 47.7619452898863\n ],\n [\n -123.4423828125,\n 47.762406859510556\n ],\n [\n -123.43276977539062,\n 47.821915003877976\n ],\n [\n -123.47602844238281,\n 47.92278444035086\n ],\n [\n -123.57147216796875,\n 47.979810681056705\n ],\n [\n -123.57284545898438,\n 48.05743061384011\n ],\n [\n -123.54263305664062,\n 48.10559716402152\n ],\n [\n -123.55430603027344,\n 48.150970035875766\n ],\n [\n -123.56941223144531,\n 48.14959568930188\n ],\n [\n -123.57284545898438,\n 48.145472428740135\n ],\n [\n -123.57421875,\n 48.14134883691423\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-17","publicationStatus":"PW","scienceBaseUri":"5881ded5e4b01192927d9f7d","contributors":{"authors":[{"text":"Perry, Laura G","contributorId":177873,"corporation":false,"usgs":false,"family":"Perry","given":"Laura","email":"","middleInitial":"G","affiliations":[],"preferred":false,"id":658813,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X shafrothp@usgs.gov","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":2000,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick","email":"shafrothp@usgs.gov","middleInitial":"B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":658811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perakis, Steven S. 0000-0003-0703-9314 sperakis@usgs.gov","orcid":"https://orcid.org/0000-0003-0703-9314","contributorId":145528,"corporation":false,"usgs":true,"family":"Perakis","given":"Steven","email":"sperakis@usgs.gov","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":658812,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70193446,"text":"70193446 - 2017 - Long-term changes in Canade Goose nest success and nest densities at an Iowa wetland complex","interactions":[],"lastModifiedDate":"2020-12-17T17:12:15.327019","indexId":"70193446","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3111,"text":"Prairie Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Long-term changes in Canade Goose nest success and nest densities at an Iowa wetland complex","docAbstract":"Giant Canada geese (Branta canadensis maxima) were extirpated from Iowa by the early 1900s due to unregulated hunting, egg gathering, and wetland drainage in the nineteenth century (Bishop 1978). Ef- forts to reintroduce Canada geese in Iowa began in 1964 (Bishop and Howing 1972) and involved releasing flightless adults and goslings at nearly 30 sites across the state (Zenner and LaGrange 1998a). In 1972, 13 flightless pairs were released at Rice Lake Wildlife Management Area (WMA; Bishop 1978). By 1989, the breeding population of Canada geese at Rice Lake WMA had increased to 420 nesting adults (G. G. Zenner, Iowa Department of Natural Resources, unpublished data). Canada goose nest success and nest densities were documented from 1989–1991 on extant islands at Rice Lake WMA (Zenner and LaGrange 1998b).
Connectivity is important for population persistence and can reduce the potential for inbreeding depression. Connectivity between populations can also facilitate disease transmission; respiratory diseases are one of the most important factors affecting populations of bighorn sheep (Ovis canadensis). The mechanisms of connectivity in populations of bighorn sheep likely have implications for spread of disease, but the behaviors leading to connectivity between bighorn sheep groups are not well understood. From 2007–2012, we radio-collared and monitored 56 bighorn sheep in the Salmon River canyon in central Idaho. We used cluster analysis to define social groups of bighorn sheep and then estimated connectivity between these groups using a multi-state mark-recapture model. Social groups of bighorn sheep were spatially segregated and linearly distributed along the Salmon River canyon. Monthly probabilities of movement between adjacent male and female groups ranged from 0.08 (±0.004 SE) to 0.76 (±0.068) for males and 0.05 (±0.132) to 0.24 (±0.034) for females. Movements of males were extensive and probabilities of movement were considerably higher during the rut. Probabilities of movement for females were typically smaller than those of males and did not change seasonally. Whereas adjacent groups of bighorn sheep along the Salmon River canyon were well connected, connectivity between groups north and south of the Salmon River was limited. The novel application of a multi-state model to a population of bighorn sheep allowed us to estimate the probability of movement between adjacent social groups and approximate the level of connectivity across the population. Our results suggest high movement rates of males during the rut are the most likely to result in transmission of pathogens among both male and female groups. Potential for disease spread among female groups was smaller but non-trivial. Land managers can plan grazing of domestic sheep for spring and summer months when males are relatively inactive. Removal or quarantine of social groups may reduce probability of disease transmission in populations of bighorn sheep consisting of linearly distributed social groups.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21169","usgsCitation":"Borg, N.J., Mitchell, M.S., Lukacs, P.M., Mack, C.M., Waits, L.P., and Krausman, P.R., 2017, Behavioral connectivity among bighorn sheep suggests potential for disease spread: Journal of Wildlife Management, v. 81, no. 1, p. 38-45, https://doi.org/10.1002/jwmg.21169.","productDescription":"8 p.","startPage":"38","endPage":"45","ipdsId":"IP-076975","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":337478,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"81","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-26","publicationStatus":"PW","scienceBaseUri":"58c7af9ae4b0849ce9795e6c","contributors":{"authors":[{"text":"Borg, Nathan","contributorId":189236,"corporation":false,"usgs":false,"family":"Borg","given":"Nathan","affiliations":[],"preferred":false,"id":684118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mitchell, Michael S. 0000-0002-0773-6905 mmitchel@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-6905","contributorId":3716,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"mmitchel@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":684117,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lukacs, Paul M.","contributorId":101240,"corporation":false,"usgs":true,"family":"Lukacs","given":"Paul","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":684119,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mack, Curt M.","contributorId":58948,"corporation":false,"usgs":true,"family":"Mack","given":"Curt","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":684120,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waits, Lisette P.","contributorId":87673,"corporation":false,"usgs":true,"family":"Waits","given":"Lisette","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":684121,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Krausman, Paul R.","contributorId":31467,"corporation":false,"usgs":true,"family":"Krausman","given":"Paul","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":684122,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70185059,"text":"70185059 - 2017 - Spatio-temporal development of vegetation die-off in a submerging coastal marsh","interactions":[],"lastModifiedDate":"2017-03-13T15:26:46","indexId":"70185059","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","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":"Spatio-temporal development of vegetation die-off in a submerging coastal marsh","docAbstract":"In several places around the world, coastal marsh vegetation is converting to open water through the formation of pools. This is concerning, as vegetation die-off is expected to reduce the marshes' capacity to adapt to sea level rise by vegetation-induced sediment accretion. Quantitative analyses of the spatial and temporal development of marsh vegetation die-off are scarce, although these are needed to understand the bio-geomorphic feedback effects of vegetation die-off on flow, erosion, and sedimentation. In this study, we quantified the spatial and temporal development of marsh vegetation die-off with aerial images from 1938 to 2010 in a submerging coastal marsh along the Blackwater River (Maryland, U.S.A). Our results indicate that die-off begins with conversion of marsh vegetation into bare open water pools that are relatively far (> 75 m) from tidal channels. As vegetation die-off continues, pools expand, and new pools emerge at shorter and shorter distances from channels. Consequently larger pools are found at larger distances from the channels. Our results suggest that the size of the pools and possibly the connection of pools with the tidal channel system have important bio-geomorphic implications and aggravate marsh deterioration. Moreover, we found that the temporal development of vegetation die-off in moderately degraded marshes is similar as the spatial die-off development along a present-day gradient, which indicates that the contemporary die-off gradient might be considered a chronosequence that offers a unique opportunity to study vegetation die-off processes.
","language":"English","publisher":"ASLO","doi":"10.1002/lno.10381","usgsCitation":"Schepers, L., Kirwan, M.L., Guntenspergen, G.R., and Temmerman, S., 2017, Spatio-temporal development of vegetation die-off in a submerging coastal marsh: Limnology and Oceanography, v. 62, no. 1, p. 137-150, https://doi.org/10.1002/lno.10381.","productDescription":"14 p.","startPage":"137","endPage":"150","ipdsId":"IP-076687","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470180,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":337461,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-25","publicationStatus":"PW","scienceBaseUri":"58c7af9be4b0849ce9795e6e","contributors":{"authors":[{"text":"Schepers, Lennert","contributorId":189203,"corporation":false,"usgs":false,"family":"Schepers","given":"Lennert","email":"","affiliations":[],"preferred":false,"id":684110,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirwan, Matt L.","contributorId":189205,"corporation":false,"usgs":false,"family":"Kirwan","given":"Matt","middleInitial":"L.","affiliations":[],"preferred":false,"id":684112,"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":684109,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Temmerman, Stijn","contributorId":189204,"corporation":false,"usgs":false,"family":"Temmerman","given":"Stijn","email":"","affiliations":[],"preferred":false,"id":684111,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192833,"text":"70192833 - 2017 - Thumbnail‐based questionnaires for the rapid and efficient collection of macroseismic data from global earthquakes","interactions":[],"lastModifiedDate":"2017-10-30T16:19:05","indexId":"70192833","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Thumbnail‐based questionnaires for the rapid and efficient collection of macroseismic data from global earthquakes","docAbstract":"The collection of earthquake testimonies (i.e., qualitative descriptions of felt shaking) is essential for macroseismic studies (i.e., studies gathering information on how strongly an earthquake was felt in different places), and when done rapidly and systematically, improves situational awareness and in turn can contribute to efficient emergency response. In this study, we present advances made in the collection of testimonies following earthquakes around the world using a thumbnail‐based questionnaire implemented on the European‐Mediterranean Seismological Centre (EMSC) smartphone app and its website compatible for mobile devices. In both instances, the questionnaire consists of a selection of thumbnails, each representing an intensity level of the European Macroseismic Scale 1998. We find that testimonies are collected faster, and in larger numbers, by way of thumbnail‐based questionnaires than by more traditional online questionnaires. Responses were received from all seismically active regions of our planet, suggesting that thumbnails overcome language barriers. We also observed that the app is not sufficient on its own, because the websites are the main source of testimonies when an earthquake strikes a region for the first time in a while; it is only for subsequent shocks that the app is widely used. Notably though, the speed of the collection of testimonies increases significantly when the app is used. We find that automated EMSC intensities as assigned by user‐specified thumbnails are, on average, well correlated with “Did You Feel It?” (DYFI) responses and with the three independently and manually derived macroseismic datasets, but there is a tendency for EMSC to be biased low with respect to DYFI at moderate and large intensities. We address this by proposing a simple adjustment that will be verified in future earthquakes.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220160120","usgsCitation":"Bossu, R., Landes, M., Roussel, F., Steed, R., Mazet-Roux, G., Martin, S.S., and Hough, S.E., 2017, Thumbnail‐based questionnaires for the rapid and efficient collection of macroseismic data from global earthquakes: Seismological Research Letters, v. 88, no. 1, p. 72-81, https://doi.org/10.1785/0220160120.","productDescription":"10 p.","startPage":"72","endPage":"81","ipdsId":"IP-079649","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":470167,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1785/0220160120","text":"External Repository"},{"id":347752,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"88","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-26","publicationStatus":"PW","scienceBaseUri":"59f83a3ae4b063d5d30980f7","contributors":{"authors":[{"text":"Bossu, Remy","contributorId":198780,"corporation":false,"usgs":false,"family":"Bossu","given":"Remy","email":"","affiliations":[],"preferred":false,"id":717115,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Landes, Matthieu","contributorId":198781,"corporation":false,"usgs":false,"family":"Landes","given":"Matthieu","email":"","affiliations":[],"preferred":false,"id":717116,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roussel, Frederic","contributorId":198782,"corporation":false,"usgs":false,"family":"Roussel","given":"Frederic","email":"","affiliations":[],"preferred":false,"id":717117,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Steed, Robert","contributorId":198783,"corporation":false,"usgs":false,"family":"Steed","given":"Robert","email":"","affiliations":[],"preferred":false,"id":717118,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mazet-Roux, Gilles","contributorId":198784,"corporation":false,"usgs":false,"family":"Mazet-Roux","given":"Gilles","email":"","affiliations":[],"preferred":false,"id":717119,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Martin, Stacey S.","contributorId":140021,"corporation":false,"usgs":false,"family":"Martin","given":"Stacey","email":"","middleInitial":"S.","affiliations":[{"id":5110,"text":"Earth Observatory of Singapore, Nanyang Technological University","active":true,"usgs":false}],"preferred":false,"id":717120,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hough, Susan E. 0000-0002-5980-2986 hough@usgs.gov","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":587,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"hough@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":717114,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70196710,"text":"70196710 - 2017 - Effect of N fertilization and tillage on nitrous oxide (N2O) loss from soil under wheat production","interactions":[],"lastModifiedDate":"2018-04-26T17:06:39","indexId":"70196710","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"displayTitle":"Effect of N fertilization and tillage on nitrous oxide (N2O) loss from soil under wheat production","title":"Effect of N fertilization and tillage on nitrous oxide (N2O) loss from soil under wheat production","docAbstract":"Nitrous oxide (N2O-N) is one of the most important gases in the atmosphere because it is 300 times more powerful than carbon dioxide in its ability to trap heat, and is a key chemical agent of ozone depletion. The amount of N2O-N emitted from agricultural fields can be quite high, depending on the complex interplay between N fertility and residue management, plant N uptake, microbial processes, environmental conditions, and wet-up and dry-down events. High N fertilizer rates generally increase yields, but may disproportionately increase N2O-N losses due to prolonged residence time in soil when not used by the crop, and incomplete decomposition of excess N-compounds by microbes. Tillage could also affect N2O-N losses through changes in soil moisture content. Though nitrogen monoxide (NO) is one form of N lost from the soil, especially under conventional tillage, this study objective was to quantify N2O loss in wheat fields from applied urea on soil under no-till (NT) versus incorporated urea under conventional till (CT).","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Carrington Research Extension Center Annual Report, A report of agricultural research and extension in central North Dakota, Vol 58","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"North Dakota State University","usgsCitation":"Bansal, S., Aberle, E., Teboh, J., Yuja, S., Liebig, M., Meier, J., and Boyd, A., 2017, Effect of N fertilization and tillage on nitrous oxide (N2O) loss from soil under wheat production, 2 p.","productDescription":"2 p.","startPage":"20","endPage":"21","ipdsId":"IP-092627","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":353761,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":353760,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.ag.ndsu.edu/CarringtonREC/documents/annual-reports/2017-annual-report#page=21"}],"publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8ebe4b0da30c1bfc4c8","contributors":{"authors":[{"text":"Bansal, Sheel 0000-0003-1233-1707 sbansal@usgs.gov","orcid":"https://orcid.org/0000-0003-1233-1707","contributorId":167295,"corporation":false,"usgs":true,"family":"Bansal","given":"Sheel","email":"sbansal@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":734073,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aberle, Ezra","contributorId":204469,"corporation":false,"usgs":false,"family":"Aberle","given":"Ezra","email":"","affiliations":[{"id":12459,"text":"NDSU","active":true,"usgs":false}],"preferred":false,"id":734074,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Teboh, Jasper","contributorId":204470,"corporation":false,"usgs":false,"family":"Teboh","given":"Jasper","email":"","affiliations":[{"id":12459,"text":"NDSU","active":true,"usgs":false}],"preferred":false,"id":734075,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yuja, Szilvia","contributorId":204471,"corporation":false,"usgs":false,"family":"Yuja","given":"Szilvia","email":"","affiliations":[{"id":12459,"text":"NDSU","active":true,"usgs":false}],"preferred":false,"id":734076,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Liebig, Mark","contributorId":146788,"corporation":false,"usgs":false,"family":"Liebig","given":"Mark","email":"","affiliations":[],"preferred":false,"id":734077,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meier, Jacob 0000-0002-8822-8434","orcid":"https://orcid.org/0000-0002-8822-8434","contributorId":204473,"corporation":false,"usgs":true,"family":"Meier","given":"Jacob","email":"","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":734079,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Boyd, Alec 0000-0003-2661-4126","orcid":"https://orcid.org/0000-0003-2661-4126","contributorId":204472,"corporation":false,"usgs":false,"family":"Boyd","given":"Alec","email":"","affiliations":[{"id":36944,"text":"Former employee at Northern Prairie Wildlife Research Center","active":true,"usgs":false}],"preferred":false,"id":734078,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70192455,"text":"70192455 - 2017 - Modeling waterfowl habitat selection in the Central Valley of California to better understand the spatial relationship between commercial poultry and waterfowl","interactions":[],"lastModifiedDate":"2019-06-04T08:40:19","indexId":"70192455","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Modeling waterfowl habitat selection in the Central Valley of California to better understand the spatial relationship between commercial poultry and waterfowl","docAbstract":"Wildlife researchers frequently study resource and habitat selection of wildlife to understand their potential habitat requirements and to conserve their populations. Understanding wildlife spatial-temporal distributions related to habitat have other applications such as to model interfaces between wildlife and domestic food animals in order to mitigate disease transmission to food animals. The highly pathogenic avian influenza (HPAI) virus represents a significant risk to the poultry industry. The Central Valley of California offers a unique geographical confluence of commercial poultry and wild waterfowl, which are thought to be a key reservoir of avian influenza (AI). Therefore, understanding spatio-temporal distributions of waterfowl could improve our understanding of potential risk of HPAI exposure from a commercial poultry perspective. Using existing radio-telemetry data on waterfowl (U.S. Geological Survey) in combination with habitat and vegetation data based on Geographic Information Systems (GIS), we are developing GIS-based statistical models that predict the probability of waterfowl presence (Habitat Suitability Mapping). Near-real-time application can be developed using recent habitat data derived from Landsat imagery (acquired by satellites and publicly available through the U.S. Geological Survey) to predict temporally- and spatially-varying distributions of waterfowl in the Central Valley. These results could be used to provide decision support for the poultry industry in addressing potential risk of HPAI exposure related to waterfowl proximity.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the Sixty-Sixth Western Poultry Disease Conference","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Sixty-Sixth Western Poultry Disease Conference","conferenceDate":"March 20-22, 2017","conferenceLocation":"Sacramento, California","language":"English","publisher":"Western Poutlry Disease Conference","usgsCitation":"Matchett, E., Casazza, M.L., Fleskes, J.P., Kelman, T., Cadena, M., and Pitesky, M., 2017, Modeling waterfowl habitat selection in the Central Valley of California to better understand the spatial relationship between commercial poultry and waterfowl, in Proceedings of the Sixty-Sixth Western Poultry Disease Conference, Sacramento, California, March 20-22, 2017, p. 118-120.","productDescription":"3 p.","startPage":"118","endPage":"120","ipdsId":"IP-083273","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":352033,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364313,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://aaap.memberclicks.net/wpdc-proceedings"}],"country":"United States","state":"California","otherGeospatial":"Central Valley","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8f7e4b0da30c1bfc4f0","contributors":{"authors":[{"text":"Matchett, Elliott 0000-0001-5095-2884 ematchett@usgs.gov","orcid":"https://orcid.org/0000-0001-5095-2884","contributorId":5541,"corporation":false,"usgs":true,"family":"Matchett","given":"Elliott","email":"ematchett@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":715916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":715915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fleskes, Joseph P. 0000-0001-5388-6675 joe_fleskes@usgs.gov","orcid":"https://orcid.org/0000-0001-5388-6675","contributorId":177154,"corporation":false,"usgs":true,"family":"Fleskes","given":"Joseph","email":"joe_fleskes@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":715917,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelman, T.","contributorId":198390,"corporation":false,"usgs":false,"family":"Kelman","given":"T.","email":"","affiliations":[],"preferred":false,"id":715918,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cadena, M.","contributorId":198391,"corporation":false,"usgs":false,"family":"Cadena","given":"M.","email":"","affiliations":[],"preferred":false,"id":715919,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pitesky, M.","contributorId":198392,"corporation":false,"usgs":false,"family":"Pitesky","given":"M.","affiliations":[],"preferred":false,"id":715920,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70192424,"text":"70192424 - 2017 - Trends in methyl tert-butyl ether concentrations in private wells in southeast New Hampshire: 2005 to 2015","interactions":[],"lastModifiedDate":"2018-03-29T14:31:14","indexId":"70192424","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Trends in methyl tert-butyl ether concentrations in private wells in southeast New Hampshire: 2005 to 2015","docAbstract":"In southeast New Hampshire, where reformulated gasoline was used from the 1990s to 2007, methyl tert-butyl ether (MtBE) concentrations ≥0.2 μg/L were found in water from 26.7% of 195 domestic wells sampled in 2005. Ten years later in 2015, and eight years after MtBE was banned, 10.3% continue to have MtBE. Most wells (140 of 195) had no MtBE detections (concentrations <0.2 μg/L) in 2005 and 2015. Of the remaining wells, MtBE concentrations increased in 4 wells, decreased in 47 wells, and did not change in 4 wells. On average, MtBE concentrations decreased 65% among 47 wells whereas MtBE concentrations increased 17% among 4 wells between 2005 and 2015. The percent change in detection frequency from 2005 to 2015 (the decontamination rate) was lowest (45.5%) in high-population-density areas and in wells completed in the Berwick Formation geologic units. The decontamination rate was the highest (78.6%) where population densities were low and wells were completed in bedrock composed of granite, metamorphic, and mafic rocks. Wells in the Berwick Formation are characteristically deeper and have lower yields than wells in other rock types and have shallower overburden cover, which may allow for more rapid transport of MtBE from land-surface releases. Low-yielding, deep bedrock wells may require large contributing areas to achieve adequate well yield, and thus have a greater chance of intercepting MtBE, in addition to diluting contaminants at a slower rate and thus requiring more time to decontaminate.
","language":"English","publisher":"ACS","doi":"10.1021/acs.est.6b04149","usgsCitation":"Flanagan, S., Levitt, J.P., and Ayotte, J.D., 2017, Trends in methyl tert-butyl ether concentrations in private wells in southeast New Hampshire: 2005 to 2015: Environmental Science & Technology, v. 51, no. 3, p. 1168-1175, https://doi.org/10.1021/acs.est.6b04149.","productDescription":"8 p.","startPage":"1168","endPage":"1175","ipdsId":"IP-074814","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":352954,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Hampshire","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.06207275390625,\n 42.70464124398721\n ],\n [\n -70.7025146484375,\n 42.70464124398721\n ],\n [\n -70.7025146484375,\n 43.624147145668076\n ],\n [\n -72.06207275390625,\n 43.624147145668076\n ],\n [\n -72.06207275390625,\n 42.70464124398721\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"51","issue":"3","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-11","publicationStatus":"PW","scienceBaseUri":"5afee8f7e4b0da30c1bfc4f2","contributors":{"authors":[{"text":"Flanagan, Sarah 0000-0002-7728-0982 sflanaga@usgs.gov","orcid":"https://orcid.org/0000-0002-7728-0982","contributorId":198352,"corporation":false,"usgs":true,"family":"Flanagan","given":"Sarah","email":"sflanaga@usgs.gov","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715778,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Levitt, Joseph P. 0000-0002-2058-9516 jlevitt@usgs.gov","orcid":"https://orcid.org/0000-0002-2058-9516","contributorId":198353,"corporation":false,"usgs":false,"family":"Levitt","given":"Joseph","email":"jlevitt@usgs.gov","middleInitial":"P.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715779,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ayotte, Joseph D. 0000-0002-1892-2738 jayotte@usgs.gov","orcid":"https://orcid.org/0000-0002-1892-2738","contributorId":149619,"corporation":false,"usgs":true,"family":"Ayotte","given":"Joseph","email":"jayotte@usgs.gov","middleInitial":"D.","affiliations":[{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715780,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70191830,"text":"70191830 - 2017 - Extreme geomagnetic storms: Probabilistic forecasts and their uncertainties","interactions":[],"lastModifiedDate":"2017-10-19T13:24:21","indexId":"70191830","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3456,"text":"Space Weather","active":true,"publicationSubtype":{"id":10}},"title":"Extreme geomagnetic storms: Probabilistic forecasts and their uncertainties","docAbstract":"Extreme space weather events are low-frequency, high-risk phenomena. Estimating their rates of occurrence, as well as their associated uncertainties, is difficult. In this study, we derive statistical estimates and uncertainties for the occurrence rate of an extreme geomagnetic storm on the scale of the Carrington event (or worse) occurring within the next decade. We model the distribution of events as either a power law or lognormal distribution and use (1) Kolmogorov-Smirnov statistic to estimate goodness of fit, (2) bootstrapping to quantify the uncertainty in the estimates, and (3) likelihood ratio tests to assess whether one distribution is preferred over another. Our best estimate for the probability of another extreme geomagnetic event comparable to the Carrington event occurring within the next 10 years is 10.3% 95% confidence interval (CI) [0.9,18.7] for a power law distribution but only 3.0% 95% CI [0.6,9.0] for a lognormal distribution. However, our results depend crucially on (1) how we define an extreme event, (2) the statistical model used to describe how the events are distributed in intensity, (3) the techniques used to infer the model parameters, and (4) the data and duration used for the analysis. We test a major assumption that the data represent time stationary processes and discuss the implications. If the current trends persist, suggesting that we are entering a period of lower activity, our forecasts may represent upper limits rather than best estimates.
","language":"English","publisher":"AGU Publications","doi":"10.1002/2016SW001470","usgsCitation":"Riley, P., and Love, J.J., 2017, Extreme geomagnetic storms: Probabilistic forecasts and their uncertainties: Space Weather, v. 15, no. 1, p. 53-64, https://doi.org/10.1002/2016SW001470.","productDescription":"12 p.","startPage":"53","endPage":"64","ipdsId":"IP-081721","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":346971,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-10","publicationStatus":"PW","scienceBaseUri":"59e9b996e4b05fe04cd65cba","contributors":{"authors":[{"text":"Riley, Pete","contributorId":145704,"corporation":false,"usgs":false,"family":"Riley","given":"Pete","email":"","affiliations":[{"id":16202,"text":"Predictive Science Inc.","active":true,"usgs":false}],"preferred":false,"id":713249,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":713250,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70191836,"text":"70191836 - 2017 - Reexamination of the magnitudes for the 1906 and 1922 Chilean earthquakes using Japanese tsunami amplitudes: Implications for source depth constraints","interactions":[],"lastModifiedDate":"2017-10-18T14:32:17","indexId":"70191836","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Reexamination of the magnitudes for the 1906 and 1922 Chilean earthquakes using Japanese tsunami amplitudes: Implications for source depth constraints","docAbstract":"Far-field tsunami records from the Japanese tide gauge network allow the reexamination of the moment magnitudes (Mw) for the 1906 and 1922 Chilean earthquakes, which to date rely on limited information mainly from seismological observations alone. Tide gauges along the Japanese coast provide extensive records of tsunamis triggered by six great (Mw >8) Chilean earthquakes with instrumentally determined moment magnitudes. These tsunami records are used to explore the dependence of tsunami amplitudes in Japan on the parent earthquake magnitude of Chilean origin. Using the resulting regression parameters together with tide gauge amplitudes measured in Japan we estimate apparent moment magnitudes of Mw 8.0–8.2 and Mw8.5–8.6 for the 1906 central and 1922 north-central Chile earthquakes. The large discrepancy of the 1906 magnitude estimated from the tsunami observed in Japan as compared with those previously determined from seismic waves (Ms 8.4) suggests a deeper than average source with reduced tsunami excitation. A deep dislocation along the Chilean megathrust would favor uplift of the coast rather than beneath the sea, giving rise to a smaller tsunami and producing effects consistent with those observed in 1906. The 1922 magnitude inferred from far-field tsunami amplitudes appear to better explain the large extent of damage and the destructive tsunami that were locally observed following the earthquake than the lower seismic magnitudes (Ms 8.3) that were likely affected by the well-known saturation effects. Thus, a repeat of the large 1922 earthquake poses seismic and tsunami hazards in a region identified as a mature seismic gap.
","language":"English","publisher":"AGU","doi":"10.1002/2016JB013269","usgsCitation":"Carvajal, M., Cisternas, M., Gubler, A., Catalan, P.A., Winckler, P., and Wesson, R.L., 2017, Reexamination of the magnitudes for the 1906 and 1922 Chilean earthquakes using Japanese tsunami amplitudes: Implications for source depth constraints: Journal of Geophysical Research B: Solid Earth, v. 122, no. 1, p. 4-17, https://doi.org/10.1002/2016JB013269.","productDescription":"14 p.","startPage":"4","endPage":"17","ipdsId":"IP-083322","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":470246,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016jb013269","text":"Publisher Index Page"},{"id":346884,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-09","publicationStatus":"PW","scienceBaseUri":"59e86838e4b05fe04cd4d20e","contributors":{"authors":[{"text":"Carvajal, M.","contributorId":197359,"corporation":false,"usgs":false,"family":"Carvajal","given":"M.","email":"","affiliations":[],"preferred":false,"id":713300,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cisternas, M.","contributorId":193403,"corporation":false,"usgs":false,"family":"Cisternas","given":"M.","email":"","affiliations":[],"preferred":false,"id":713301,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gubler, A.","contributorId":197360,"corporation":false,"usgs":false,"family":"Gubler","given":"A.","email":"","affiliations":[],"preferred":false,"id":713302,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Catalan, P. A.","contributorId":197361,"corporation":false,"usgs":false,"family":"Catalan","given":"P.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":713303,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Winckler, P.","contributorId":197362,"corporation":false,"usgs":false,"family":"Winckler","given":"P.","email":"","affiliations":[],"preferred":false,"id":713304,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wesson, Robert L. 0000-0003-2702-0012 rwesson@usgs.gov","orcid":"https://orcid.org/0000-0003-2702-0012","contributorId":850,"corporation":false,"usgs":true,"family":"Wesson","given":"Robert","email":"rwesson@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":713305,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70193622,"text":"70193622 - 2017 - An evaluation and comparison of conservation guidelines for an at-risk migratory songbird","interactions":[],"lastModifiedDate":"2017-11-29T15:59:01","indexId":"70193622","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"An evaluation and comparison of conservation guidelines for an at-risk migratory songbird","docAbstract":"For at-risk wildlife species, it is important to consider conservation within the process of adaptive management. Golden-winged Warblers (Vermivora chrysoptera) are Neotropical migratory songbirds that are experiencing long-term population declines due in part to the loss of early-successional nesting habitat. Recently-developed Golden-winged Warbler habitat management guidelines are being implemented by USDA: Natural Resource Conservation Service (2014) and its partners through the Working Lands For Wildlife (WLFW) program. During 2012–2014, we studied the nesting ecology of Golden-winged Warblers in managed habitats of the eastern US that conformed to WLFW conservation practices. We evaluated five NRCS “management scenarios” with respect to nesting success and attainment of recommended nest site vegetation conditions outlined in the Golden-winged Warbler breeding habitat guidelines. Using estimates of territory density, pairing rate, nest survival, and clutch size, we also estimated fledgling productivity (number of fledglings/ha) for each management scenario. In general, Golden-winged Warbler nest survival declined as each breeding season advanced, but nest survival was similar across management scenarios. Within each management scenario, vegetation variables had little influence on nest survival. Still, percent Rubus cover and density of >2 m tall shrubs were relevant in some management scenarios. All five management scenarios rarely attained recommended levels of nest site vegetation conditions for Golden-winged, yet nest survival was high. Fledgling productivity estimates for each management scenario ranged from 2.1 to 8.6 fledglings/10 hectares. Our results indicate that targeted habitat management for Golden-winged Warblers using a variety of management techniques on private lands has the capability to yield high nest survival and fledgling productivity, and thus have the potential to contribute to the species recovery.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2016.12.006","usgsCitation":"McNeil, D.J., Aldinger, K.R., Bakermans, M.H., Lehman, J.A., Tisdale, A.C., Jones, J.A., Wood, P.B., Buehler, D.A., Smalling, C.G., Siefferman, L., and Larkin, J.L., 2017, An evaluation and comparison of conservation guidelines for an at-risk migratory songbird: Global Ecology and Conservation, v. 9, p. 90-103, https://doi.org/10.1016/j.gecco.2016.12.006.","productDescription":"14 p.","startPage":"90","endPage":"103","ipdsId":"IP-082152","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470177,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2016.12.006","text":"Publisher Index Page"},{"id":348726,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.58349609375,\n 34.994003757575776\n ],\n [\n -74.59716796875,\n 34.994003757575776\n ],\n [\n -74.59716796875,\n 41.75492216766298\n ],\n [\n -85.58349609375,\n 41.75492216766298\n ],\n [\n -85.58349609375,\n 34.994003757575776\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc3de4b06e28e9c23bf0","contributors":{"authors":[{"text":"McNeil, Darin J. 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Indiana University of Pennsylvania","active":true,"usgs":false},{"id":17929,"text":"American Bird Conservancy","active":true,"usgs":false}],"preferred":false,"id":721872,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70195842,"text":"70195842 - 2017 - Differences in flood hazard projections in Europe – their causes and consequences for decision making","interactions":[],"lastModifiedDate":"2018-03-06T11:01:34","indexId":"70195842","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1927,"text":"Hydrological Sciences Journal","active":true,"publicationSubtype":{"id":10}},"title":"Differences in flood hazard projections in Europe – their causes and consequences for decision making","docAbstract":"This paper interprets differences in flood hazard projections over Europe and identifies likely sources of discrepancy. Further, it discusses potential implications of these differences for flood risk reduction and adaptation to climate change. The discrepancy in flood hazard projections raises caution, especially among decision makers in charge of water resources management, flood risk reduction, and climate change adaptation at regional to local scales. Because it is naïve to expect availability of trustworthy quantitative projections of future flood hazard, in order to reduce flood risk one should focus attention on mapping of current and future risks and vulnerability hotspots and improve the situation there. Although an intercomparison of flood hazard projections is done in this paper and differences are identified and interpreted, it does not seems possible to recommend which large-scale studies may be considered most credible in particular areas of Europe.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02626667.2016.1241398","usgsCitation":"Kundzewicz, Z., Krysanova, V., Dankers, R., Hirabayashi, Y., Kanae, S., Hattermann, F.F., Huang, S., Milly, P., Stoffel, M., Driessen, P., Matczak, P., Quevauviller, P., and Schellnhuber, H., 2017, Differences in flood hazard projections in Europe – their causes and consequences for decision making: Hydrological Sciences Journal, v. 62, no. 1, p. 1-14, https://doi.org/10.1080/02626667.2016.1241398.","productDescription":"14 p.","startPage":"1","endPage":"14","ipdsId":"IP-079346","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":470232,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/02626667.2016.1241398","text":"Publisher Index Page"},{"id":352251,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-29","publicationStatus":"PW","scienceBaseUri":"5afee8ebe4b0da30c1bfc4d4","contributors":{"authors":[{"text":"Kundzewicz, Z. 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W.","affiliations":[{"id":36556,"text":"Institute for Agricultural and Forest Environment, Polish Academy of Sciences, Poznań, Poland","active":true,"usgs":false}],"preferred":false,"id":730261,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krysanova, V.","contributorId":202953,"corporation":false,"usgs":false,"family":"Krysanova","given":"V.","affiliations":[{"id":32972,"text":"Potsdam Institute for Climate Impact Research, Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":730262,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dankers, R.","contributorId":202954,"corporation":false,"usgs":false,"family":"Dankers","given":"R.","email":"","affiliations":[{"id":36557,"text":"Met Office, Exeter, UK","active":true,"usgs":false}],"preferred":false,"id":730263,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hirabayashi, Y.","contributorId":202955,"corporation":false,"usgs":false,"family":"Hirabayashi","given":"Y.","email":"","affiliations":[{"id":36558,"text":"Institute of Engineering Innovation, University of Tokyo, Tokyo, Japan","active":true,"usgs":false}],"preferred":false,"id":730264,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kanae, S.","contributorId":202956,"corporation":false,"usgs":false,"family":"Kanae","given":"S.","email":"","affiliations":[{"id":36559,"text":"Department of Mechanical and Environmental Informatics, Tokyo Institute of Technology, Tokyo, Japan","active":true,"usgs":false}],"preferred":false,"id":730265,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hattermann, F. F.","contributorId":202957,"corporation":false,"usgs":false,"family":"Hattermann","given":"F.","email":"","middleInitial":"F.","affiliations":[{"id":32972,"text":"Potsdam Institute for Climate Impact Research, Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":730266,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Huang, S.","contributorId":202958,"corporation":false,"usgs":false,"family":"Huang","given":"S.","email":"","affiliations":[{"id":36560,"text":"The Norwegian Water Resources and Energy Directorate, Oslo, Norway","active":true,"usgs":false}],"preferred":false,"id":730267,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Milly, Paul C.D. 0000-0003-4389-3139 cmilly@usgs.gov","orcid":"https://orcid.org/0000-0003-4389-3139","contributorId":2119,"corporation":false,"usgs":true,"family":"Milly","given":"Paul C.D.","email":"cmilly@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":730260,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stoffel, M.","contributorId":202959,"corporation":false,"usgs":false,"family":"Stoffel","given":"M.","email":"","affiliations":[{"id":36561,"text":"Climatic Change and Climate Impacts, Institute for Environmental Sciences, University of Geneva, Geneva, Switzerland","active":true,"usgs":false}],"preferred":false,"id":730268,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Driessen, P.P.J.","contributorId":202960,"corporation":false,"usgs":false,"family":"Driessen","given":"P.P.J.","email":"","affiliations":[{"id":36562,"text":"Utrecht University, Copernicus Institute of Sustainable Development, Utrecht, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":730269,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Matczak, P.","contributorId":202961,"corporation":false,"usgs":false,"family":"Matczak","given":"P.","email":"","affiliations":[{"id":36556,"text":"Institute for Agricultural and Forest Environment, Polish Academy of Sciences, Poznań, Poland","active":true,"usgs":false}],"preferred":false,"id":730270,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Quevauviller, P.","contributorId":202962,"corporation":false,"usgs":false,"family":"Quevauviller","given":"P.","affiliations":[{"id":36563,"text":"Vrije Universiteit Brussel, Belgium","active":true,"usgs":false}],"preferred":false,"id":730271,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Schellnhuber, H.-J.","contributorId":202963,"corporation":false,"usgs":false,"family":"Schellnhuber","given":"H.-J.","email":"","affiliations":[{"id":32972,"text":"Potsdam Institute for Climate Impact Research, Potsdam, Germany","active":true,"usgs":false}],"preferred":false,"id":730272,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70195843,"text":"70195843 - 2017 - Dissolution of fluorapatite by Pseudomonas fluorescens P35 resulting in fluorine release","interactions":[],"lastModifiedDate":"2018-03-06T10:53:54","indexId":"70195843","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1800,"text":"Geomicrobiology Journal","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Dissolution of fluorapatite by Pseudomonas fluorescens P35 resulting in fluorine release","title":"Dissolution of fluorapatite by Pseudomonas fluorescens P35 resulting in fluorine release","docAbstract":"Chemical weathering of fluorine-bearing minerals is widely accepted as the main mechanism for the release of fluorine (F) to groundwater. Here, we propose a potential mechanism of F release via microbial dissolution of fluorapatite (Ca5(PO4)3F), which has been neglected previously. Batch culture experiments were conducted at 30°C with a phosphate-solubilizing bacteria strain, Pseudomonas fluorescens P35, and rock phosphates as the sole source of phosphate for microbial growth in parallel with abiotic controls. Rock phosphates consisted of 55–91% of fluorapatite and 5–10% of dolomite before microbial dissolution as indicated by X-ray diffraction (XRD). Mineral composition and morphology changed after microbial dissolution characterized by the disappearance of dolomite and the development of etched cavities on rock phosphate surfaces. The pH of media used was approximately 7.4 at the beginning and increased gradually to 7.7 in abiotic controls; with the inoculum, the pH decreased to acidic values of 3.7–3.8 after 27 h. Phosphate, calcium, and fluoride were released from the rock phosphate to the acidified medium. At 42 h, the concentration of F reached 8.1–10.3 mg L−1. The elevated F concentration was two times higher than the F levels in groundwater in regions diagnosed with fluorosis, and was toxic to the bacteria, as demonstrated by a precipitous decrease in live cells. Geochemical modeling demonstrated that the oxidation of glucose (the carbon source for microbial growth in the medium) to gluconic acid could decrease the pH to 3.7–3.8 and result in the dissolution of fluorapatite and dolomite. Dolomite and fluorapatite remained unsaturated, while concentrations of dissolved phosphorus (P), calcium (Ca), and F increased throughout the time course Fluorite reached saturation [saturation index (SI) 0.22–0.42] after 42 h in rock phosphate–amended biotic systems. However, fluorite was not detected in XRD patterns of the final residue from microcosms. Given that phosphate-solubilizing bacteria are ubiquitous in soil and groundwater ecosystems, they could play an important role in fluorapatite dissolution and the release of F to groundwater.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/01490451.2016.1204376","usgsCitation":"Zhou, J., Wang, H., Cravotta, C., Dong, Q., and Xiang, X., 2017, Dissolution of fluorapatite by Pseudomonas fluorescens P35 resulting in fluorine release: Geomicrobiology Journal, v. 34, no. 5, p. 421-433, https://doi.org/10.1080/01490451.2016.1204376.","productDescription":"13 p.","startPage":"421","endPage":"433","ipdsId":"IP-059740","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":352249,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"5","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-20","publicationStatus":"PW","scienceBaseUri":"5afee8ebe4b0da30c1bfc4d2","contributors":{"authors":[{"text":"Zhou, Jianping","contributorId":202968,"corporation":false,"usgs":false,"family":"Zhou","given":"Jianping","email":"","affiliations":[{"id":36564,"text":"State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430074, P R China","active":true,"usgs":false}],"preferred":false,"id":730277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Hongmei","contributorId":202967,"corporation":false,"usgs":false,"family":"Wang","given":"Hongmei","email":"","affiliations":[{"id":36565,"text":"Laboratory of Basin Hydrology and Wetland Eco-restoration, China University of Geosciences, Wuhan, 430074, P R China","active":true,"usgs":false}],"preferred":false,"id":730276,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cravotta, Charles A. III 0000-0003-3116-4684 cravotta@usgs.gov","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":138829,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles A.","suffix":"III","email":"cravotta@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":730274,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dong, Qiang","contributorId":202966,"corporation":false,"usgs":false,"family":"Dong","given":"Qiang","email":"","affiliations":[{"id":36564,"text":"State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430074, P R China","active":true,"usgs":false}],"preferred":false,"id":730275,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Xiang, Xing","contributorId":202964,"corporation":false,"usgs":false,"family":"Xiang","given":"Xing","email":"","affiliations":[{"id":36564,"text":"State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Wuhan 430074, P R China","active":true,"usgs":false}],"preferred":false,"id":730273,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70196114,"text":"70196114 - 2017 - Nutrients, phytoplankton, zooplankton, and macrobenthos","interactions":[],"lastModifiedDate":"2018-03-21T11:45:18","indexId":"70196114","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"seriesTitle":{"id":410,"text":"Special Publication","active":false,"publicationSubtype":{"id":9}},"seriesNumber":"2017-02","title":"Nutrients, phytoplankton, zooplankton, and macrobenthos","docAbstract":"Lower trophic levels support the prey fish on which most sport fish depend. Therefore, understanding the production potential of lower trophic levels is integral to the management of Lake Ontario’s fishery resources. Lower trophic-level productivity differs among offshore and nearshore waters. In the offshore, there is concern about the ability of the lake to support Alewife (Table 1) production due to a perceived decline in productivity of phytoplankton and zooplankton whereas, in the nearshore, there is a concern about excessive attached algal production (e.g., Cladophora) associated with higher nutrient concentrations—the oligotrophication of the offshore and the eutrophication of the nearshore (Mills et al. 2003; Holeck et al. 2008; Dove 2009; Koops et al. 2015; Stewart et al. 2016). Even though the collapse of the Alewife population in Lake Huron in 2003 (and the associated decline in the Chinook Salmon fishery) may have been precipitated by a cold winter (Dunlop and Riley 2013), Alewife had not returned to high abundances in Lake Huron as of 2014 (Roseman et al. 2015). Failure of the Alewife population to recover from collapse has been attributed to declines in lower trophic-level production (Barbiero et al. 2011; Bunnell et al. 2014; but see He et al. 2015). In Lake Michigan, concerns of a similar Alewife collapse led to a decrease in the number of Chinook Salmon stocked. If lower trophic-level production declines in Lake Ontario, a similar management action could be considered. On the other hand, in Lake Erie, which supplies most of the water in Lake Ontario, eutrophication is increasing and so are harmful algal blooms. Thus, there is also a concern that nutrient levels and algal blooms could increase in Lake Ontario, especially in the nearshore. Solutions to the two processes of concern—eutrophication in the nearshore and oligotrophication in the offshore—may be mutually exclusive. In either circumstance, fisheries management needs information on the productivity of lower trophic levels in Lake Ontario.
In this chapter, we review the status of lower trophic levels in Lake Ontario with special attention to the current (2008-2013) and previous (2003-2007) reporting periods. During the two reporting periods, three whole-lake surveys of lower trophic levels were conducted: the Lower Trophic Level Assessment (LOLA) in 2003 and 2008 (Makarewicz and Howell 2012; Munawar et al. 2015b) and the Cooperative Science and Management Initiative (CSMI) in 2013. Analyses of the CSMI data are ongoing. In addition to the three one-year sources of information on lower trophic levels, several multi-year sources of information are available, including data from the surveillance program conducted since 1965 by Environment Canada (EC) (Dove 2009), monitoring conducted since 1980 by the U.S. Environmental Protection Agency’s (EPA) Great Lakes National Program Office (GLNPO) (Barbiero et al. 2014; Reavie et al. 2014), sampling for a Bioindex Program at two stations, one offshore and one in the Eastern Basin, assessments of Mysis diluviana (formerly Mysis relicta) conducted since 1980 by Fisheries and Oceans Canada (Johannsson et al. 1998, 2011) and the Ontario Ministry of Natural Resources and Forestry (OMNRF), and monitoring conducted since 1995 by the Biomonitoring Program (BMP) on the New York side of the lake (Holeck et al. 2015b). The BMP is a collaboration of the New York State Department of Environmental Conservation (DEC), U.S. Fish and Wildlife Service, U.S. Geological Survey (USGS), and Cornell University.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"The state of Lake Ontario in 2014","largerWorkSubtype":{"id":9,"text":"Other Report"},"language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Rudstam, L.G., Holeck, K.T., Watkins, J.M., Hotaling, C., Lantry, J.R., Bowen, K.L., Munawar, M., Weidel, B., Barbiero, R., Luckey, F.J., Dove, A., Johnson, T.B., and Biesinger, Z., 2017, Nutrients, phytoplankton, zooplankton, and macrobenthos: Special Publication 2017-02, 23 p.","productDescription":"23 p.","startPage":"10","endPage":"32","ipdsId":"IP-074205","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":352661,"type":{"id":15,"text":"Index Page"},"url":"https://www.glfc.org/pubs/SpecialPubs/Sp17_02.pdf"},{"id":352689,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8ebe4b0da30c1bfc4cc","contributors":{"authors":[{"text":"Rudstam, Lars G.","contributorId":56609,"corporation":false,"usgs":false,"family":"Rudstam","given":"Lars","email":"","middleInitial":"G.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":731409,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holeck, Kristen T.","contributorId":105549,"corporation":false,"usgs":false,"family":"Holeck","given":"Kristen","email":"","middleInitial":"T.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":731410,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watkins, James M.","contributorId":189286,"corporation":false,"usgs":false,"family":"Watkins","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":731411,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hotaling, Christopher","contributorId":197987,"corporation":false,"usgs":false,"family":"Hotaling","given":"Christopher","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":731412,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lantry, Jana R.","contributorId":141107,"corporation":false,"usgs":false,"family":"Lantry","given":"Jana","email":"","middleInitial":"R.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":731413,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bowen, Kelly L.","contributorId":38382,"corporation":false,"usgs":false,"family":"Bowen","given":"Kelly","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":731414,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Munawar, Mohi","contributorId":203403,"corporation":false,"usgs":false,"family":"Munawar","given":"Mohi","email":"","affiliations":[],"preferred":false,"id":731415,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":731408,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Barbiero, Richard","contributorId":203404,"corporation":false,"usgs":false,"family":"Barbiero","given":"Richard","affiliations":[],"preferred":false,"id":731416,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Luckey, Frederick J.","contributorId":131035,"corporation":false,"usgs":false,"family":"Luckey","given":"Frederick","email":"","middleInitial":"J.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":731417,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Dove, Alice","contributorId":203405,"corporation":false,"usgs":false,"family":"Dove","given":"Alice","email":"","affiliations":[],"preferred":false,"id":731418,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Johnson, Timothy B.","contributorId":203406,"corporation":false,"usgs":false,"family":"Johnson","given":"Timothy","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":731419,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Biesinger, Zy","contributorId":197993,"corporation":false,"usgs":false,"family":"Biesinger","given":"Zy","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":731420,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70189110,"text":"70189110 - 2017 - Geologic influence on induced seismicity: Constraints from potential field data in Oklahoma","interactions":[],"lastModifiedDate":"2017-06-29T15:25:26","indexId":"70189110","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Geologic influence on induced seismicity: Constraints from potential field data in Oklahoma","docAbstract":"Recent Oklahoma seismicity shows a regional correlation with increased wastewater injection activity, but local variations suggest that some areas are more likely to exhibit induced seismicity than others. We combine geophysical and drill hole data to map subsurface geologic features in the crystalline basement, where most earthquakes are occurring, and examine probable contributing factors. We find that most earthquakes are located where the crystalline basement is likely composed of fractured intrusive or metamorphic rock. Areas with extrusive rock or thick (>4 km) sedimentary cover exhibit little seismicity, even in high injection rate areas, similar to deep sedimentary basins in Michigan and western North Dakota. These differences in seismicity may be due to variations in permeability structure: within intrusive rocks, fluids can become narrowly focused in fractures and faults, causing an increase in local pore fluid pressure, whereas more distributed pore space in sedimentary and extrusive rocks may relax pore fluid pressure.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016GL071808","usgsCitation":"Shah, A.K., and Keller, G.R., 2017, Geologic influence on induced seismicity: Constraints from potential field data in Oklahoma: Geophysical Research Letters, v. 44, no. 1, p. 152-161, https://doi.org/10.1002/2016GL071808.","productDescription":"10 p.","startPage":"152","endPage":"161","ipdsId":"IP-075927","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":470176,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016gl071808","text":"Publisher Index Page"},{"id":343173,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -100,\n 34\n ],\n [\n -95,\n 34\n ],\n [\n -95,\n 37\n ],\n [\n -100,\n 37\n ],\n [\n -100,\n 34\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"44","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-12","publicationStatus":"PW","scienceBaseUri":"595611b4e4b0d1f9f0506755","contributors":{"authors":[{"text":"Shah, Anjana K. 0000-0002-3198-081X ashah@usgs.gov","orcid":"https://orcid.org/0000-0002-3198-081X","contributorId":2297,"corporation":false,"usgs":true,"family":"Shah","given":"Anjana","email":"ashah@usgs.gov","middleInitial":"K.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":702919,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keller, G. Randy","contributorId":40602,"corporation":false,"usgs":true,"family":"Keller","given":"G.","email":"","middleInitial":"Randy","affiliations":[],"preferred":false,"id":702920,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70186020,"text":"70186020 - 2017 - Quantifying the relative contribution of an ecological reserve to conservation objectives","interactions":[],"lastModifiedDate":"2017-03-30T15:18:26","indexId":"70186020","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying the relative contribution of an ecological reserve to conservation objectives","docAbstract":"Evaluating the role public lands play in meeting conservation goals is an essential step in good governance. We present a tool for comparing the regional contribution of each of a suite of wildlife management units to conservation goals. We use weighted summation (simple additive weighting) to compute a Unit Contribution Index (UCI) based on species richness, population abundance, and a conservation score based on IUCN Red List classified threat levels. We evaluate UCI for a subset of the 729 participating wetlands of the Integrated Waterbird Management and Monitoring (IWMM) Program across U.S. Fish and Wildlife Service Regions 3 (Midwest USA), 4 (Southeast USA), and 5 (Northeast USA). We found that the median across-Region UCI for Region 5 was greater than Regions 3 and 4, while Region 4 had the greatest within-Region UCI median. This index is a powerful tool for wildlife managers to evaluate the performance of units within the conservation estate.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2017.01.002","usgsCitation":"Aagaard, K., Lyons, J.E., and Thogmartin, W.E., 2017, Quantifying the relative contribution of an ecological reserve to conservation objectives: Global Ecology and Conservation, v. 9, p. 142-147, https://doi.org/10.1016/j.gecco.2017.01.002.","productDescription":"6 p.","startPage":"142","endPage":"147","ipdsId":"IP-079772","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":470174,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2017.01.002","text":"Publisher Index Page"},{"id":338844,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58de194fe4b02ff32c699ca3","contributors":{"authors":[{"text":"Aagaard, Kevin 0000-0003-0756-2172 kaagaard@usgs.gov","orcid":"https://orcid.org/0000-0003-0756-2172","contributorId":147393,"corporation":false,"usgs":true,"family":"Aagaard","given":"Kevin","email":"kaagaard@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":687363,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lyons, James E. 0000-0002-9810-8751 jelyons@usgs.gov","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":177546,"corporation":false,"usgs":true,"family":"Lyons","given":"James","email":"jelyons@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":687364,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":687365,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70187262,"text":"70187262 - 2017 - An integrated moral obligation model for landowner conservation norms","interactions":[],"lastModifiedDate":"2017-04-27T11:10:16","indexId":"70187262","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3404,"text":"Society & Natural Resources: An International Journal","active":true,"publicationSubtype":{"id":10}},"title":"An integrated moral obligation model for landowner conservation norms","docAbstract":"This study applies an integrated moral obligation model to examine the role of environmental and cultural values, and beliefs in the activation of landowner conservation norms. Data for this study were collected through a self-administered survey of riparian landowners in two Minnesota watersheds: Sand Creek and Vermillion River watersheds. Study findings suggest that collectivistic and biospheric–altruistic values form the bases for the activation of personal norms. Further, beliefs about local responsibility and ability to act influence personal norms to protect water resources. Findings suggest that landowners’ personal norms of water conservation are more likely to be activated by conservation strategies that appeal to biospheric–altruistic and collectivistic values, emphasize adverse consequences of water pollution, highlight water resource protection as a local responsibility, and provide the resources needed to protect water resources.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/08941920.2016.1239289","usgsCitation":"Pradhananga, A.K., Davenport, M.A., Fulton, D.C., Maruyama, G.M., and Current, D., 2017, An integrated moral obligation model for landowner conservation norms: Society & Natural Resources: An International Journal, v. 30, no. 2, p. 212-227, https://doi.org/10.1080/08941920.2016.1239289.","productDescription":"16 p.","startPage":"212","endPage":"227","ipdsId":"IP-056505","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":340498,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-31","publicationStatus":"PW","scienceBaseUri":"59030324e4b0e862d230f71d","contributors":{"authors":[{"text":"Pradhananga, Amit K.","contributorId":191478,"corporation":false,"usgs":false,"family":"Pradhananga","given":"Amit","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":693179,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davenport, Mae A.","contributorId":191479,"corporation":false,"usgs":false,"family":"Davenport","given":"Mae","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":693180,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fulton, David C. 0000-0001-5763-7887 dcf@usgs.gov","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":2208,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"dcf@usgs.gov","middleInitial":"C.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693120,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maruyama, Geoffrey M.","contributorId":191480,"corporation":false,"usgs":false,"family":"Maruyama","given":"Geoffrey","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":693181,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Current, Dean","contributorId":191481,"corporation":false,"usgs":false,"family":"Current","given":"Dean","email":"","affiliations":[],"preferred":false,"id":693182,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70186169,"text":"70186169 - 2017 - Summer habitat selection by Dall’s sheep in Wrangell-St. Elias National Park and Preserve, Alaska","interactions":[],"lastModifiedDate":"2017-03-30T15:13:22","indexId":"70186169","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Summer habitat selection by Dall’s sheep in Wrangell-St. Elias National Park and Preserve, Alaska","docAbstract":"Sexual segregation occurs frequently in sexually dimorphic species, and it may be influenced by differential habitat requirements between sexes or by social or evolutionary mechanisms that maintain separation of sexes regardless of habitat selection. Understanding the degree of sex-specific habitat specialization is important for management of wildlife populations and the design of monitoring and research programs. Using mid-summer aerial survey data for Dall’s sheep (Ovis dalli dalli) in southern Alaska during 1983–2011, we assessed differences in summer habitat selection by sex and reproductive status at the landscape scale in Wrangell-St. Elias National Park and Preserve (WRST). Males and females were highly segregated socially, as were females with and without young. Resource selection function (RSF) models containing rugged terrain, intermediate values of the normalized difference vegetation index (NDVI), and open landcover types best explained resource selection by each sex, female reproductive classes, and all sheep combined. For male and all female models, most coefficients were similar, suggesting little difference in summer habitat selection between sexes at the landscape scale. A combined RSF model therefore may be used to predict the relative probability of resource selection by Dall’s sheep in WRST regardless of sex or reproductive status.
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