Potential biological removal (PBR) is an approach used to calculate sustainable harvest and “take” limits for populations. PBR was originally derived assuming logistic growth while ignoring the effects of small population size (i.e., an Allee effect). We derived a version of PBR that includes an Allee effect (i.e., small population size or densities limiting population growth rates). We found that PBR becomes less conservative when it fails to consider an Allee effect. Specifically, sustainable harvest and take levels based upon PBR with an Allee effect were between approximately 51% and 66% of levels based upon PBR without an Allee effect. Managers and biologists using PBR may need to consider the limitations if an Allee effect may be present in the species being modeled.
","language":"English","publisher":"Wiley","doi":"10.1111/nrm.12133","usgsCitation":"Hadier, H., Oldfield, S., Tu, T., Moreno, R., Diffendorfer, J.E., Eager, E., and Erickson, R.A., 2017, Incorporating Allee effects into the potential biological removal level: Natural Resource Modeling, v. 30, no. 3, p. 1-16, https://doi.org/10.1111/nrm.12133.","productDescription":"e12133; 16 p.","startPage":"1","endPage":"16","ipdsId":"IP-083313","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":469642,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/nrm.12133","text":"Publisher Index Page"},{"id":346438,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-11","publicationStatus":"PW","scienceBaseUri":"59d744a1e4b05fe04cc7e317","contributors":{"authors":[{"text":"Hadier, Humza","contributorId":196936,"corporation":false,"usgs":false,"family":"Hadier","given":"Humza","email":"","affiliations":[],"preferred":false,"id":711990,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oldfield, Sarah","contributorId":196937,"corporation":false,"usgs":false,"family":"Oldfield","given":"Sarah","email":"","affiliations":[],"preferred":false,"id":711991,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tu, Tiffany","contributorId":196938,"corporation":false,"usgs":false,"family":"Tu","given":"Tiffany","email":"","affiliations":[],"preferred":false,"id":711992,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moreno, Rosa","contributorId":196939,"corporation":false,"usgs":false,"family":"Moreno","given":"Rosa","email":"","affiliations":[],"preferred":false,"id":711993,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Diffendorfer, Jay E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":55137,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"Jay","email":"jediffendorfer@usgs.gov","middleInitial":"E.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":711995,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eager, Eric A.","contributorId":140447,"corporation":false,"usgs":false,"family":"Eager","given":"Eric A.","affiliations":[{"id":13504,"text":"Department of Mathematics, University of Wisconsin-La Crosse","active":true,"usgs":false}],"preferred":false,"id":711994,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":711989,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70194256,"text":"70194256 - 2017 - An evaluation of sampling and full enumeration strategies for Fisher Jenks classification in big data settings","interactions":[],"lastModifiedDate":"2017-11-20T17:00:04","indexId":"70194256","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3618,"text":"Transactions in GIS","active":true,"publicationSubtype":{"id":10}},"title":"An evaluation of sampling and full enumeration strategies for Fisher Jenks classification in big data settings","docAbstract":"Large data contexts present a number of challenges to optimal choropleth map classifiers. Application of optimal classifiers to a sample of the attribute space is one proposed solution. The properties of alternative sampling-based classification methods are examined through a series of Monte Carlo simulations. The impacts of spatial autocorrelation, number of desired classes, and form of sampling are shown to have significant impacts on the accuracy of map classifications. Tradeoffs between improved speed of the sampling approaches and loss of accuracy are also considered. The results suggest the possibility of guiding the choice of classification scheme as a function of the properties of large data sets.
","language":"English","publisher":"Wiley","doi":"10.1111/tgis.12236","usgsCitation":"Rey, S.J., Stephens, P.A., and Laura, J.R., 2017, An evaluation of sampling and full enumeration strategies for Fisher Jenks classification in big data settings: Transactions in GIS, v. 21, no. 4, p. 796-810, https://doi.org/10.1111/tgis.12236.","productDescription":"15 p.","startPage":"796","endPage":"810","ipdsId":"IP-075628","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":349169,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-04","publicationStatus":"PW","scienceBaseUri":"5a60fb74e4b06e28e9c230b4","contributors":{"authors":[{"text":"Rey, Sergio J.","contributorId":200615,"corporation":false,"usgs":false,"family":"Rey","given":"Sergio","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":722890,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stephens, Philip A.","contributorId":168411,"corporation":false,"usgs":false,"family":"Stephens","given":"Philip","email":"","middleInitial":"A.","affiliations":[{"id":25283,"text":"School of Biological & Biomedical Sciences, Durham University, South Road, Durham, DH1 3LE, UK","active":true,"usgs":false}],"preferred":false,"id":722891,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Laura, Jason R. 0000-0002-1377-8159 jlaura@usgs.gov","orcid":"https://orcid.org/0000-0002-1377-8159","contributorId":5603,"corporation":false,"usgs":true,"family":"Laura","given":"Jason","email":"jlaura@usgs.gov","middleInitial":"R.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":722889,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70190374,"text":"70190374 - 2017 - Potential impacts of sea level rise on native plant communities and associated cultural sites in coastal areas of the main Hawaiian Islands","interactions":[],"lastModifiedDate":"2018-01-04T12:29:51","indexId":"70190374","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":" Potential impacts of sea level rise on native plant communities and associated cultural sites in coastal areas of the main Hawaiian Islands","docAbstract":"Hawaiian coastal vegetation is comprised of plant species that are adapted to growing in extremely harsh conditions (salt spray, wave wash, wind, and substrates with limited nutrients) found in this habitat zone. Prior to human colonization of Hawai‘i coastal vegetation extended as a continuous ring around each of the islands, broken only by stretches of recent lava flows or unstable cliff faces. However, since humans arrived in Hawai‘i many areas that originally supported native coastal plant communities have been highly altered or the native vegetation totally removed for agriculture, housing, or resort development, destroyed by fire, displaced by invasive plants, eaten by introduced mammals, or damaged by recreational use. This study was focused on identifying sites that still retain relatively intact and highly diverse native coastal plant communities throughout the main Hawaiian Islands that may be further impacted by projected sea level rise. Approximately 40 percent of Hawai‘i’s coastlines were found to still contain high quality native coastal plant communities. Most of these sites were located in areas where the coastal vegetation can still migrate inshore in response to rising sea level and associated inundation by waves. However, six sites with high-quality native coastal vegetation were found on low-lying offshore islets that will be totally inundated with a one meter increase in sea level and thirty sites were found to have some type of fixed barrier, such as a paved road or structure, which would restrict the plants from colonizing the adjacent inland areas. Many of these sites also have other cultural resources that are fixed in place and will definitely be impacted by rising sea level. The results of this study can help refine our understanding of Hawai‘i’s remaining native coastal vegetation and aid with the development of management and restoration strategies to ensure the long-term survival of these unique plant communities.
","language":"English","publisher":"Pacific Islands Climate Change Cooperative","usgsCitation":"Jacobi, J.D., and Warshauer, F.R., 2017, Potential impacts of sea level rise on native plant communities and associated cultural sites in coastal areas of the main Hawaiian Islands, 49 p.","productDescription":"49 p.","ipdsId":"IP-087928","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":345227,"type":{"id":15,"text":"Index Page"},"url":"https://piccc.net/project/impacts-of-sea-level-rise-on-native-plant-communities-in-coastal-areas-of-the-main-hawaiian-islands/"},{"id":345268,"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":"59a67d41e4b0fd9b77ce4799","contributors":{"authors":[{"text":"Jacobi, James D. 0000-0003-2313-7862 jjacobi@usgs.gov","orcid":"https://orcid.org/0000-0003-2313-7862","contributorId":3705,"corporation":false,"usgs":true,"family":"Jacobi","given":"James","email":"jjacobi@usgs.gov","middleInitial":"D.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":708764,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warshauer, Frederick R.","contributorId":195960,"corporation":false,"usgs":false,"family":"Warshauer","given":"Frederick","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":708765,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70191341,"text":"70191341 - 2017 - Mercury correlates with altered corticosterone but not testosterone or estradiol concentrations in common loons","interactions":[],"lastModifiedDate":"2017-10-05T15:52:40","indexId":"70191341","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1480,"text":"Ecotoxicology and Environmental Safety","active":true,"publicationSubtype":{"id":10}},"title":"Mercury correlates with altered corticosterone but not testosterone or estradiol concentrations in common loons","docAbstract":"We investigated the relation between environmental mercury exposure and corticosterone concentrations in free-living adult common loons (Gavia immer). We determined blood and feather mercury concentrations and compared them to testosterone, estradiol, and stress-induced plasma corticosterone concentrations. Although neither testosterone nor estradiol correlated with Hg levels, there was a robust positive relation between blood Hg and stress-induced corticosterone concentrations in males, but not in females. The lack of an effect in females may have been due to overall less contamination in females. There were no significant correlations between feather Hg and stress-induced corticosterone in either sex. To help determine whether Hg had a causal effect on corticosterone, we investigated the impact of experimental Hg intake on the corticosterone stress response in captive juvenile loons. Juveniles were subjected to three different feeding regimes: 0, 0.4 and 1.2 μg Hg (as MeHgCL)/g wet weight (ww) fish. We then measured baseline and 30 min post-solitary confinement stressor corticosterone concentrations. The Hg fed chicks exhibited a decreased ability to mount a stress response. From these data, we conclude that Hg contamination does appear to alter the corticosterone response to stress, but not in a consistent predictable pattern. Regardless of the direction of change, however, exposure to mercury contamination and the resulting impact on the corticosterone stress response in common loons may substantially impact health, fitness and survival.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoenv.2017.04.030","usgsCitation":"Franceshini, M.D., Evers, D.C., Kenow, K.P., Meyer, M.W., Pokras, M., and Romero, L.M., 2017, Mercury correlates with altered corticosterone but not testosterone or estradiol concentrations in common loons: Ecotoxicology and Environmental Safety, v. 142, p. 348-354, https://doi.org/10.1016/j.ecoenv.2017.04.030.","productDescription":"7 p.","startPage":"348","endPage":"354","ipdsId":"IP-075083","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":469648,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoenv.2017.04.030","text":"Publisher Index Page"},{"id":438255,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7QC02CP","text":"USGS data release","linkHelpText":"2003 Blood Corticosterone Common Loons: Data"},{"id":346437,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"142","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59d744a1e4b05fe04cc7e312","contributors":{"authors":[{"text":"Franceshini, Melinda D.","contributorId":196943,"corporation":false,"usgs":false,"family":"Franceshini","given":"Melinda","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":712006,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evers, David C.","contributorId":96160,"corporation":false,"usgs":false,"family":"Evers","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false}],"preferred":false,"id":712007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kenow, Kevin P. 0000-0002-3062-5197 kkenow@usgs.gov","orcid":"https://orcid.org/0000-0002-3062-5197","contributorId":3339,"corporation":false,"usgs":true,"family":"Kenow","given":"Kevin","email":"kkenow@usgs.gov","middleInitial":"P.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":712005,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meyer, Michael W.","contributorId":149111,"corporation":false,"usgs":false,"family":"Meyer","given":"Michael","email":"","middleInitial":"W.","affiliations":[{"id":17645,"text":"Wisconsin Department of Natural Resources, Rhinelander, WI","active":true,"usgs":false}],"preferred":false,"id":712008,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pokras, Mark","contributorId":196944,"corporation":false,"usgs":false,"family":"Pokras","given":"Mark","affiliations":[],"preferred":false,"id":712009,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Romero, L. Michael","contributorId":196256,"corporation":false,"usgs":false,"family":"Romero","given":"L.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":712010,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70192167,"text":"70192167 - 2017 - Spatial and temporal variability in benthic invertebrate assemblages in Upper Klamath Lake, Oregon","interactions":[],"lastModifiedDate":"2017-11-06T13:29:06","indexId":"70192167","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2900,"text":"Northwest Science","onlineIssn":"2161-9859","printIssn":"0029-344X","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal variability in benthic invertebrate assemblages in Upper Klamath Lake, Oregon","docAbstract":"Upper Klamath Lake (UKL) in southern Oregon has experienced declines in water quality due to excessive nutrient loading. This has led to annual cyanobacterial blooms, primarily of Aphanizomenon flos-aquae (AFA). Benthic invertebrates are important food resources for benthic feeding fishes; however, they can increase autochthonous nutrient cycling in lakes and as a result might be contributing to poor water quality in UKL. This study determined the density and taxonomic richness of benthic invertebrate assemblages in three geographic regions (north, central, and south) and three habitats (littoral, open-water and trench) across UKL. Sediment composition and water quality were also characterized at each of the 21 benthic invertebrate collection sites. Three sampling trips were made from May–July 2013. Mean lake-wide invertebrate density was 12 617 ± 7506 individuals m-2 (n = 63, based on 189 Ekman grabs) with oligochaetes, chironomids, and leeches representing 97% of all individuals. Mean invertebrate richness per sample was 16 ± 4 (n = 63). Two and three-way repeated measures ANOVAs identified differences in invertebrate densities and richness among regions, habitats, and sampling periods. There were no differences in total density among sampling periods. Total density was higher in littoral compared to open-water habitats, and in the northern region, proximal to all riverine inputs to the lake, compared to the central or southern regions. Although variances were heterogeneous, the number of taxa appeared to differ between habitats and regions.
","language":"English","publisher":"Northwest Scientific Association","doi":"10.3955/046.091.0306","usgsCitation":"Stauffer-Olsen, N.J., Carter, J.L., and Fend, S.V., 2017, Spatial and temporal variability in benthic invertebrate assemblages in Upper Klamath Lake, Oregon: Northwest Science, v. 91, no. 3, p. 257-271, https://doi.org/10.3955/046.091.0306.","productDescription":"15 p.","startPage":"257","endPage":"271","ipdsId":"IP-079605","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":348278,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.10411071777344,\n 42.233093155022765\n ],\n [\n -121.77383422851562,\n 42.233093155022765\n ],\n [\n -121.77383422851562,\n 42.502984199407415\n ],\n [\n -122.10411071777344,\n 42.502984199407415\n ],\n [\n -122.10411071777344,\n 42.233093155022765\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"91","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e8a2e4b09af898c8cb96","contributors":{"authors":[{"text":"Stauffer-Olsen, Natalie J.","contributorId":197890,"corporation":false,"usgs":false,"family":"Stauffer-Olsen","given":"Natalie","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":714521,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carter, James L. 0000-0002-0104-9776 jlcarter@usgs.gov","orcid":"https://orcid.org/0000-0002-0104-9776","contributorId":3278,"corporation":false,"usgs":true,"family":"Carter","given":"James","email":"jlcarter@usgs.gov","middleInitial":"L.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":714520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fend, Steven V. 0000-0002-4638-6602 svfend@usgs.gov","orcid":"https://orcid.org/0000-0002-4638-6602","contributorId":3591,"corporation":false,"usgs":true,"family":"Fend","given":"Steven","email":"svfend@usgs.gov","middleInitial":"V.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":714522,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70190996,"text":"70190996 - 2017 - Climate change and tree-line ecosystems in the Sierra Nevada: Habitat suitability modelling to inform high-elevation forest dynamics monitoring","interactions":[],"lastModifiedDate":"2017-10-16T14:58:51","indexId":"70190996","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":53,"text":"Natural Resource Report","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/SIEN/NRR—2017/1476","title":"Climate change and tree-line ecosystems in the Sierra Nevada: Habitat suitability modelling to inform high-elevation forest dynamics monitoring","docAbstract":"Whitebark pine and foxtail pine serve foundational roles in the subalpine zone of the Sierra Nevada. They provide the dominant structure in tree-line forests and regulate key ecosystem processes and community dynamics. Climate change models suggest that there will be changes in temperature regimes and in the timing and magnitude of precipitation within the current distribution of these species, and these changes may alter the species’ distributional limits. Other stressors include the non-native pathogen white pine blister rust and mountain pine beetle, which have played a role in the decline of whitebark pine throughout much of its range. The National Park Service is monitoring status and trends of these species. This report provides complementary information in the form of habitat suitability models to predict climate change impacts on the future distribution of these species within Sierra Nevada national parks.
We used maximum entropy modeling to build habitat suitability models by relating species occurrence to environmental variables. Species occurrence was available from 328 locations for whitebark pine and 244 for foxtail pine across the species’ distributions within the parks. We constructed current climate surfaces for modeling by interpolating data from weather stations. Climate surfaces included mean, minimum, and maximum temperature and total precipitation for January, April, July, and October. We downscaled five general circulation models for the 2050s and the 2090s from ~125 km2 to 1 km2 under both an optimistic and an extreme climate scenario to bracket potential climatic change and its influence on projected suitable habitat.
To describe anticipated changes in the distribution of suitable habitat, we compared, for each species, climate scenario, and time period, the current models with future models in terms of proportional change in habitat size, elevation distribution, model center points, and where habitat is predicted to expand or contract.
Overall, models indicated that suitable habitats for whitebark and foxtail pine are more likely to shift geographically within the parks by 2100 rather than decline precipitously. This implies park managers might focus conservation efforts on stressors other than climate change, working toward species resilience in the face of threats from introduced disease and elevated native insect damage. More specifically, further understanding of the incidence and severity of white pine blister rust and other stressors in high elevation white pines would help assess vulnerability from threats other than climate change.
This report presents the results of a cooperative study by the U.S. Geological Survey and Missouri Department of Natural Resources to estimate total nitrogen (TN) and total phosphorus (TP) concentrations at monitoring sites within and near the Lower Grand River hydrological unit. The primary objectives of the study were to quantify temporal changes in TN and TP concentrations and compare those concentrations to conservation practices and agricultural activities. Despite increases in funding during 2011–15 for conservation practices in the Lower Grand River from the Mississippi River Basin Healthy Watersheds Initiative, decreases in flow-normalized TN and TP concentrations during this time at the long-term Grand River site were less than at other long-term sites, which did not receive funding from the Mississippi River Basin Healthy Watersheds Initiative. The relative differences in the magnitude of flow-normalized TN and TP concentrations among long-term sites are directly related to the amount of agricultural land use within the watershed. Significant relations were determined between nitrogen from cattle manure and flow-normalized TN concentrations at selected long-term sites, indicating livestock manure may be a substantial source of nitrogen within the selected long-term site watersheds. Relations between flow-normalized TN and TP concentrations with Conservation Reserve Program acres and with nitrogen and phosphorus from commercial fertilizer indicate that changes in these factors alone did not have a substantial effect on stream TN and TP concentrations; other landscape activities, runoff, within-bank nutrients that are suspended during higher streamflows, or a combination of these have had a greater effect on stream TN and TP concentrations; or there is a lag time that is obscuring relations. Temporal changes in flow-adjusted TN and TP concentrations were not substantial at Lower Grand River Mississippi River Basin Healthy Watersheds Initiative sites, indicating factors besides stream variability did not have substantial effects on TN and TP concentrations. Flow-weighted TN and TP concentrations at Lower Grand River Mississippi River Basin Healthy Watershed Initiative sites increase with increasing streamflow, which indicates runoff, within-bank nutrients that are suspended during higher streamflows, or both, have more effect on stream TN and TP concentrations than consistent point sources or groundwater sources. Timing of TN and TP concentration increases compared to streamflow increases indicate that nitrogen and phosphorus loads are more strongly related to streamflow than to a particular period of the year, indicating that runoff, within-bank nutrients that are suspended during higher streamflows, or both are a substantial source of nutrients regardless of timing.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175067","collaboration":"Prepared in cooperation with the Missouri Department of Natural Resources","usgsCitation":"Krempa, H.M., and Flickinger, A.K., 2017, Temporal changes in nitrogen and phosphorus concentrations with comparisons to conservation practices and agricultural activities in the Lower Grand River, Missouri and Iowa, and selected watersheds, 1969–2015: U.S. Geological Survey Scientific Investigations Report 2017–5067, 28 p., https://doi.org/10.3133/sir20175067.","productDescription":"Report: vii, 28 p.; Appendix: 1–8","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-082213","costCenters":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"links":[{"id":344501,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5067/coverthb.jpg"},{"id":344502,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5067/sir20175067.pdf","text":"Report","size":"10.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5067"},{"id":344503,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2017/5067/sir20175067_appendixes.xlsx","text":"Appendix 1–8","size":"725 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2017–5067 Appendixes","linkHelpText":"Supplemental Data for Selected Sites in Missouri and Iowa"}],"country":"United States","state":"Iowa, Missouri","otherGeospatial":"Chariton River, Lower Grand River, Nodaway River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.2,\n 39.2\n ],\n [\n -92.5,\n 39.2\n ],\n [\n -92.5,\n 41.5\n ],\n [\n -95.2,\n 41.5\n ],\n [\n -95.2,\n 39.2\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Missouri Water Science Center
U.S. Geological Survey
1400 Independence Road
Rolla, MO 65401
We present a fully automated and scalable algorithm for quantifying surface water inundation in wetlands. Requiring no external training data, our algorithm estimates sub-pixel water fraction (SWF) over large areas and long time periods using Landsat data. We tested our SWF algorithm over three wetland sites across North America, including the Prairie Pothole Region, the Delmarva Peninsula and the Everglades, representing a gradient of inundation and vegetation conditions. We estimated SWF at 30-m resolution with accuracies ranging from a normalized root-mean-square-error of 0.11 to 0.19 when compared with various high-resolution ground and airborne datasets. SWF estimates were more sensitive to subtle inundated features compared to previously published surface water datasets, accurately depicting water bodies, large heterogeneously inundated surfaces, narrow water courses and canopy-covered water features. Despite this enhanced sensitivity, several sources of errors affected SWF estimates, including emergent or floating vegetation and forest canopies, shadows from topographic features, urban structures and unmasked clouds. The automated algorithm described in this article allows for the production of high temporal resolution wetland inundation data products to support a broad range of applications.
","language":"English","publisher":"MDPI","doi":"10.3390/rs9080807","usgsCitation":"DeVries, B., Huang, C., Lang, M.W., Jones, J., Huang, W., Creed, I., and Carroll, M.L., 2017, Automated quantification of surface water inundation in wetlands using optical satellite imagery: Remote Sensing, v. 9, no. 8, Article 807; 22 p., https://doi.org/10.3390/rs9080807.","productDescription":"Article 807; 22 p.","ipdsId":"IP-087428","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":469631,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs9080807","text":"Publisher Index Page"},{"id":348619,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"8","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-07","publicationStatus":"PW","scienceBaseUri":"5a096bb1e4b09af898c94143","contributors":{"authors":[{"text":"DeVries, Ben 0000-0003-2136-3401","orcid":"https://orcid.org/0000-0003-2136-3401","contributorId":198971,"corporation":false,"usgs":false,"family":"DeVries","given":"Ben","email":"","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":717737,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huang, Chengquan 0000-0003-0055-9798","orcid":"https://orcid.org/0000-0003-0055-9798","contributorId":198972,"corporation":false,"usgs":false,"family":"Huang","given":"Chengquan","email":"","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":717738,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lang, Megan W.","contributorId":196284,"corporation":false,"usgs":false,"family":"Lang","given":"Megan","email":"","middleInitial":"W.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":717739,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, John W. 0000-0001-6117-3691 jwjones@usgs.gov","orcid":"https://orcid.org/0000-0001-6117-3691","contributorId":2220,"corporation":false,"usgs":true,"family":"Jones","given":"John","email":"jwjones@usgs.gov","middleInitial":"W.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":717736,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Huang, Wenli 0000-0001-9608-1690","orcid":"https://orcid.org/0000-0001-9608-1690","contributorId":198973,"corporation":false,"usgs":false,"family":"Huang","given":"Wenli","email":"","affiliations":[{"id":7261,"text":"Department of Geographical Sciences, University of Maryland, College Park, MD, 20742","active":true,"usgs":false}],"preferred":false,"id":717740,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Creed, Irena F.","contributorId":81209,"corporation":false,"usgs":false,"family":"Creed","given":"Irena F.","affiliations":[{"id":27655,"text":"Department of Biology, University of Western Ontario, London, ON Canada","active":true,"usgs":false}],"preferred":false,"id":717741,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Carroll, Mark L.","contributorId":145826,"corporation":false,"usgs":false,"family":"Carroll","given":"Mark","email":"","middleInitial":"L.","affiliations":[{"id":16246,"text":"Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD, USA","active":true,"usgs":false},{"id":7239,"text":"Science Systems and Applications, Inc.","active":true,"usgs":false},{"id":16247,"text":"Sigma Space Corp, NASA Goddard Space Flight Center, Greenbelt, MD, USA","active":true,"usgs":false}],"preferred":false,"id":721689,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70192203,"text":"70192203 - 2017 - Managed aquifer recharge through off-season irrigation in agricultural regions","interactions":[],"lastModifiedDate":"2017-10-23T11:58:54","indexId":"70192203","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Managed aquifer recharge through off-season irrigation in agricultural regions","docAbstract":"Options for increasing reservoir storage in developed regions are limited and prohibitively expensive. Projected increases in demand call for new long-term water storage to help sustain agriculture, municipalities, industry, and ecological services. Managed aquifer recharge (MAR) is becoming an integral component of water resources around the world. However, MAR faces challenges, including infrastructure costs, difficulty in enhancing recharge, water quality issues, and lack of available water supplies. Here we examine, through simulation modeling of a hypothetical agricultural subbasin in the western U.S., the potential of agricultural managed aquifer recharge (Ag-MAR) via canal seepage and off-season field irrigation. Weather phenomenon in many regions around the world exhibit decadal and other multiyear cycles of extreme precipitation. An ongoing challenge is to develop approaches to store greater amounts of water during these events. Simulations presented herein incorporate Ag-MAR programs and demonstrate that there is potential to enhance regional recharge by 7–13%, increase crop consumptive use by 9–12%, and increase natural vegetation consumption by 20–30%, where larger relative increases occur for lower aquifer hydraulic conductivity and higher specific yield values. Annual increases in groundwater levels were 7 m, and sustained levels following several years of drought were greater than 2 m. Results demonstrate that Ag-MAR has great potential to enhance long-term sustainability of water resources in agricultural basins.
","language":"English","publisher":"AGU","doi":"10.1002/2017WR020458","usgsCitation":"Niswonger, R.G., Morway, E.D., Triana, E., and Huntington, J., 2017, Managed aquifer recharge through off-season irrigation in agricultural regions: Water Resources Research, v. 53, no. 8, p. 6970-6992, https://doi.org/10.1002/2017WR020458.","productDescription":"23 p.","startPage":"6970","endPage":"6992","ipdsId":"IP-087681","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":469712,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017wr020458","text":"Publisher Index Page"},{"id":347106,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-17","publicationStatus":"PW","scienceBaseUri":"59eeffa5e4b0220bbd988f7e","contributors":{"authors":[{"text":"Niswonger, Richard G. 0000-0001-6397-2403 rniswon@usgs.gov","orcid":"https://orcid.org/0000-0001-6397-2403","contributorId":197892,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard","email":"rniswon@usgs.gov","middleInitial":"G.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":714748,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morway, Eric D. 0000-0002-8553-6140 emorway@usgs.gov","orcid":"https://orcid.org/0000-0002-8553-6140","contributorId":4320,"corporation":false,"usgs":true,"family":"Morway","given":"Eric","email":"emorway@usgs.gov","middleInitial":"D.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":714749,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Triana, Enrique","contributorId":169532,"corporation":false,"usgs":false,"family":"Triana","given":"Enrique","email":"","affiliations":[{"id":25556,"text":"MWH Global, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":714750,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huntington, Justin L.","contributorId":31279,"corporation":false,"usgs":true,"family":"Huntington","given":"Justin L.","affiliations":[],"preferred":false,"id":714751,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70193664,"text":"70193664 - 2017 - Can personality predict individual differences in brook trout spatial learning ability?","interactions":[],"lastModifiedDate":"2017-11-13T14:26:17","indexId":"70193664","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":987,"text":"Behavioural Processes","active":true,"publicationSubtype":{"id":10}},"title":"Can personality predict individual differences in brook trout spatial learning ability?","docAbstract":"While differences in individual personality are common in animal populations, understanding the ecological significance of variation has not yet been resolved. Evidence suggests that personality may influence learning and memory; a finding that could improve our understanding of the evolutionary processes that produce and maintain intraspecific behavioural heterogeneity. Here, we tested whether boldness, the most studied personality trait in fish, could predict learning ability in brook trout. After quantifying boldness, fish were trained to find a hidden food patch in a maze environment. Stable landmark cues were provided to indicate the location of food and, at the conclusion of training, cues were rearranged to test for learning. There was a negative relationship between boldness and learning as shy fish were increasingly more successful at navigating the maze and locating food during training trials compared to bold fish. In the altered testing environment, only shy fish continued using cues to search for food. Overall, the learning rate of bold fish was found to be lower than that of shy fish for several metrics suggesting that personality could have widespread effects on behaviour. Because learning can increase plasticity to environmental change, these results have significant implications for fish conservation.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.beproc.2016.08.009","usgsCitation":"White, S., Wagner, T., Gowan, C., and Braithwaite, V., 2017, Can personality predict individual differences in brook trout spatial learning ability?: Behavioural Processes, v. 141, no. 2, p. 220-228, https://doi.org/10.1016/j.beproc.2016.08.009.","productDescription":"9 p.","startPage":"220","endPage":"228","ipdsId":"IP-066365","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":469633,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.beproc.2016.08.009","text":"Publisher Index Page"},{"id":348716,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"141","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb74e4b06e28e9c230b9","contributors":{"authors":[{"text":"White, S.L.","contributorId":199722,"corporation":false,"usgs":false,"family":"White","given":"S.L.","email":"","affiliations":[],"preferred":false,"id":719834,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719833,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gowan, C.","contributorId":199723,"corporation":false,"usgs":false,"family":"Gowan","given":"C.","email":"","affiliations":[],"preferred":false,"id":719835,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Braithwaite, V.A.","contributorId":172165,"corporation":false,"usgs":false,"family":"Braithwaite","given":"V.A.","email":"","affiliations":[],"preferred":false,"id":719836,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70191525,"text":"70191525 - 2017 - Rapid prototyping for decision structuring: An efficient approach to conservation decision analysis","interactions":[],"lastModifiedDate":"2020-08-21T13:04:20.721293","indexId":"70191525","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"3","title":"Rapid prototyping for decision structuring: An efficient approach to conservation decision analysis","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Decision-making in conservation and natural resource management; Conservation Diology Series No. 22","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Cambridge University Press","isbn":"9781107465381","usgsCitation":"Garrard, G.E., Rumpff, L., Runge, M.C., and Converse, S.J., 2017, Rapid prototyping for decision structuring: An efficient approach to conservation decision analysis, chap. 3 of Decision-making in conservation and natural resource management; Conservation Diology Series No. 22, p. 46-64.","productDescription":"19 p.","startPage":"46","endPage":"64","ipdsId":"IP-069675","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":349591,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346643,"type":{"id":15,"text":"Index Page"},"url":"https://www.cambridge.org/us/catalogue/catalogue.asp?isbn=9781107465381"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb75e4b06e28e9c230d0","contributors":{"editors":[{"text":"Bunnefeld, Nils","contributorId":141136,"corporation":false,"usgs":false,"family":"Bunnefeld","given":"Nils","email":"","affiliations":[{"id":13686,"text":"Biological and Environmental Sciences, University of Stirling","active":true,"usgs":false}],"preferred":false,"id":724154,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Garrard, Georgia E.","contributorId":197116,"corporation":false,"usgs":false,"family":"Garrard","given":"Georgia","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":712618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rumpff, Libby","contributorId":197117,"corporation":false,"usgs":false,"family":"Rumpff","given":"Libby","email":"","affiliations":[],"preferred":false,"id":712619,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":712617,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":3513,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":712620,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70191708,"text":"70191708 - 2017 - Connecting crustal seismicity and earthquake-driven stress evolution in Southern California","interactions":[],"lastModifiedDate":"2017-10-23T16:10:42","indexId":"70191708","displayToPublicDate":"2017-08-01T00:00:00","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":"Connecting crustal seismicity and earthquake-driven stress evolution in Southern California","docAbstract":"Tectonic stress in the crust evolves during a seismic cycle, with slow stress accumulation over interseismic periods, episodic stress steps at the time of earthquakes, and transient stress readjustment during a postseismic period that may last months to years. Static stress transfer to surrounding faults has been well documented to alter regional seismicity rates over both short and long time scales. While static stress transfer is instantaneous and long lived, postseismic stress transfer driven by viscoelastic relaxation of the ductile lower crust and mantle leads to additional, slowly varying stress perturbations. Both processes may be tested by comparing a decade-long record of regional seismicity to predicted time-dependent seismicity rates based on a stress evolution model that includes viscoelastic stress transfer. Here we explore crustal stress evolution arising from the seismic cycle in Southern California from 1981 to 2014 using five M≥6.5 source quakes: the M7.3 1992 Landers, M6.5 1992 Big Bear, M6.7 1994 Big Bear, M7.1 1999 Hector Mine, and M7.2 2010 El Mayor-Cucapah earthquakes. We relate the stress readjustment in the surrounding crust generated by each quake to regional seismicity using rate-and-state friction theory. Using a log likelihood approach, we quantify the potential to trigger seismicity of both static and viscoelastic stress transfer, finding that both processes have systematically shaped the spatial pattern of Southern California seismicity since 1992.
","language":"English","publisher":"AGU","doi":"10.1002/2017JB014200","usgsCitation":"Pollitz, F., and Cattania, C., 2017, Connecting crustal seismicity and earthquake-driven stress evolution in Southern California: Journal of Geophysical Research B: Solid Earth, v. 122, no. 8, p. 6473-6490, https://doi.org/10.1002/2017JB014200.","productDescription":"18 p.","startPage":"6473","endPage":"6490","ipdsId":"IP-083347","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":469639,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/2017jb014200","text":"External Repository"},{"id":347170,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119,\n 32\n ],\n [\n -114.5,\n 32\n ],\n [\n -114.5,\n 36\n ],\n [\n -119,\n 36\n ],\n [\n -119,\n 32\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"122","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-14","publicationStatus":"PW","scienceBaseUri":"59eeffa6e4b0220bbd988f84","contributors":{"authors":[{"text":"Pollitz, Frederick 0000-0002-4060-2706 fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":713123,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cattania, Camilla 0000-0003-0031-1696","orcid":"https://orcid.org/0000-0003-0031-1696","contributorId":197284,"corporation":false,"usgs":false,"family":"Cattania","given":"Camilla","email":"","affiliations":[],"preferred":false,"id":713124,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70191532,"text":"70191532 - 2017 - Post-glacial flooding of the Bering Land Bridge dated to 11 cal ka BP based on new geophysical and sediment records","interactions":[],"lastModifiedDate":"2017-10-17T11:22:48","indexId":"70191532","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1250,"text":"Climate of the Past","active":true,"publicationSubtype":{"id":10}},"title":"Post-glacial flooding of the Bering Land Bridge dated to 11 cal ka BP based on new geophysical and sediment records","docAbstract":"The Bering Strait connects the Arctic and Pacific oceans and separates the North American and Asian landmasses. The presently shallow ( ∼ 53 m) strait was exposed during the sea level lowstand of the last glacial period, which permitted human migration across a land bridge today referred to as the Bering Land Bridge. Proxy studies (stable isotope composition of foraminifera, whale migration into the Arctic Ocean, mollusc and insect fossils and paleobotanical data) have suggested a range of ages for the Bering Strait reopening, mainly falling within the Younger Dryas stadial (12.9–11.7 cal ka BP). Here we provide new information on the deglacial and post-glacial evolution of the Arctic–Pacific connection through the Bering Strait based on analyses of geological and geophysical data from Herald Canyon, located north of the Bering Strait on the Chukchi Sea shelf region in the western Arctic Ocean. Our results suggest an initial opening at about 11 cal ka BP in the earliest Holocene, which is later than in several previous studies. Our key evidence is based on a well-dated core from Herald Canyon, in which a shift from a near-shore environment to a Pacific-influenced open marine setting at around 11 cal ka BP is observed. The shift corresponds to meltwater pulse 1b (MWP1b) and is interpreted to signify relatively rapid breaching of the Bering Strait and the submergence of the large Bering Land Bridge. Although the precise rates of sea level rise cannot be quantified, our new results suggest that the late deglacial sea level rise was rapid and occurred after the end of the Younger Dryas stadial.
","language":"English","publisher":"Copernicus Publications","doi":"10.5194/cp-13-991-2017","usgsCitation":"Jakobsson, M., Pearce, C., Cronin, T.M., Backman, J., Anderson, L.G., Barrientos, N., Bjork, G., Coxhall, H., de Boer, A., Mayer, L., Morth, C., Nilsson, J., Rattray, J., Sranne, C., Semiletov, I., and O’Regan, M., 2017, Post-glacial flooding of the Bering Land Bridge dated to 11 cal ka BP based on new geophysical and sediment records: Climate of the Past, v. 13, p. 991-1005, https://doi.org/10.5194/cp-13-991-2017.","productDescription":"15 p.","startPage":"991","endPage":"1005","ipdsId":"IP-084747","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":469634,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/cp-13-991-2017","text":"Publisher Index Page"},{"id":346682,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Bering Strait, Herald Canyon","volume":"13","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-01","publicationStatus":"PW","scienceBaseUri":"59e71691e4b05fe04cd3319f","contributors":{"authors":[{"text":"Jakobsson, Martin","contributorId":166854,"corporation":false,"usgs":false,"family":"Jakobsson","given":"Martin","email":"","affiliations":[{"id":24562,"text":"Stockholm University","active":true,"usgs":false}],"preferred":false,"id":712649,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pearce, Christof","contributorId":197126,"corporation":false,"usgs":false,"family":"Pearce","given":"Christof","email":"","affiliations":[{"id":25421,"text":"Department of Geological Sciences, Stockholm University, Sweden","active":true,"usgs":false}],"preferred":false,"id":712650,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":712648,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Backman, Jan","contributorId":166857,"corporation":false,"usgs":false,"family":"Backman","given":"Jan","email":"","affiliations":[{"id":24562,"text":"Stockholm University","active":true,"usgs":false}],"preferred":false,"id":712651,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, Leif G.","contributorId":166856,"corporation":false,"usgs":false,"family":"Anderson","given":"Leif","email":"","middleInitial":"G.","affiliations":[{"id":12695,"text":"University of Gothenburg","active":true,"usgs":false}],"preferred":false,"id":712657,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barrientos, Natalia","contributorId":197127,"corporation":false,"usgs":false,"family":"Barrientos","given":"Natalia","email":"","affiliations":[{"id":35520,"text":"1Department of Geological Sciences and Bolin Centre for Climate Research, Stockholm University, Stockholm, 10691, Sweden","active":true,"usgs":false},{"id":13419,"text":"Aarhus University, Denmark","active":true,"usgs":false}],"preferred":false,"id":712652,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bjork, Goran","contributorId":166858,"corporation":false,"usgs":false,"family":"Bjork","given":"Goran","email":"","affiliations":[{"id":12695,"text":"University of 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Christian","contributorId":197133,"corporation":false,"usgs":false,"family":"Sranne","given":"Christian","email":"","affiliations":[],"preferred":false,"id":712661,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Semiletov, Igor","contributorId":197134,"corporation":false,"usgs":false,"family":"Semiletov","given":"Igor","email":"","affiliations":[{"id":35519,"text":"Russian Academy Sciences, Vladivostok, Russia","active":true,"usgs":false},{"id":24563,"text":"Tomsk Polytechnic University","active":true,"usgs":false}],"preferred":false,"id":712662,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"O’Regan, Matt","contributorId":197135,"corporation":false,"usgs":false,"family":"O’Regan","given":"Matt","email":"","affiliations":[{"id":25421,"text":"Department of Geological Sciences, Stockholm University, Sweden","active":true,"usgs":false}],"preferred":false,"id":712663,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70192610,"text":"70192610 - 2017 - Empirical estimation of recreational exploitation of burbot, Lota lota, in the Wind River drainage of Wyoming using a multistate capture–recapture model","interactions":[],"lastModifiedDate":"2017-11-10T11:32:56","indexId":"70192610","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Empirical estimation of recreational exploitation of burbot, Lota lota, in the Wind River drainage of Wyoming using a multistate capture–recapture model","title":"Empirical estimation of recreational exploitation of burbot, Lota lota, in the Wind River drainage of Wyoming using a multistate capture–recapture model","docAbstract":"Burbot, Lota lota (Linnaeus), is a regionally popular sportfish in the Wind River drainage of Wyoming, USA, at the southern boundary of the range of the species. Recent declines in burbot abundances were hypothesised to be caused by overexploitation, entrainment in irrigation canals and habitat loss. This study addressed the overexploitation hypothesis using tagging data to generate reliable exploitation, abundance and density estimates from a multistate capture–recapture model that accounted for incomplete angler reporting and tag loss. Exploitation rate μ was variable among the study lakes and inversely correlated with density. Exploitation thresholds μ40 associated with population densities remaining above 40% of carrying capacity were generated to characterise risk of overharvest using exploitation and density estimates from tagging data and a logistic surplus-production model parameterised with data from other burbot populations. Bull Lake (μ = 0.06, 95% CI: 0.03–0.11; μ40 = 0.18) and Torrey Lake (μ = 0.02, 95% CI: 0.00–0.11; μ40 = 0.18) had a low risk of overfishing, Upper Dinwoody Lake had intermediate risk (μ = 0.08, 95% CI: 0.02–0.32; μ40 = 0.18) and Lower Dinwoody Lake had high risk (μ = 0.32, 95% CI: 0.10–0.67; μ40 = 0.08). These exploitation and density estimates can be used to guide sustainable management of the Wind River drainage recreational burbot fishery and inform management of other burbot fisheries elsewhere.
","language":"English","publisher":"Wiley","doi":"10.1111/fme.12226","usgsCitation":"Lewandoski, S., Guy, C.S., Zale, A.V., Gerrity, P.C., Deromedi, J.W., Johnson, K.M., and Skates, D.L., 2017, Empirical estimation of recreational exploitation of burbot, Lota lota, in the Wind River drainage of Wyoming using a multistate capture–recapture model: Fisheries Management and Ecology, v. 24, no. 4, p. 298-307, https://doi.org/10.1111/fme.12226.","productDescription":"10 p.","startPage":"298","endPage":"307","ipdsId":"IP-076704","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":348576,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","volume":"24","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-03","publicationStatus":"PW","scienceBaseUri":"5a06c8cae4b09af898c86108","contributors":{"authors":[{"text":"Lewandoski, S. A.","contributorId":200246,"corporation":false,"usgs":false,"family":"Lewandoski","given":"S. A.","affiliations":[],"preferred":false,"id":721592,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":716544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zale, Alexander V. 0000-0003-1703-885X zale@usgs.gov","orcid":"https://orcid.org/0000-0003-1703-885X","contributorId":3010,"corporation":false,"usgs":true,"family":"Zale","given":"Alexander","email":"zale@usgs.gov","middleInitial":"V.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716545,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gerrity, Paul C.","contributorId":104198,"corporation":false,"usgs":true,"family":"Gerrity","given":"Paul","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":721593,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Deromedi, J. W.","contributorId":200247,"corporation":false,"usgs":false,"family":"Deromedi","given":"J.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":721594,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, K. M.","contributorId":23513,"corporation":false,"usgs":true,"family":"Johnson","given":"K.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721595,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Skates, D. L.","contributorId":200248,"corporation":false,"usgs":false,"family":"Skates","given":"D.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":721596,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70192309,"text":"70192309 - 2017 - Climate-induced trends in predator–prey synchrony differ across life-history stages of an anadromous salmonid","interactions":[],"lastModifiedDate":"2017-10-24T16:13:18","indexId":"70192309","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Climate-induced trends in predator–prey synchrony differ across life-history stages of an anadromous salmonid","docAbstract":"Differential climate-induced shifts in phenology can create mismatches between predators and prey, but few studies have examined predator–prey mismatch across multiple life-history stages. We used long-term data from a warming stream with shifting salmonid migration timings to quantify intra-annual migration synchrony between predatory Dolly Varden (Salvelinus malma) and Pacific salmon prey and examined how predator–prey synchrony has been influenced by climate change. We demonstrate that Dolly Varden have become increasingly mismatched with spring downstream migrations of abundant pink salmon (Oncorhynchus gorbuscha) juveniles. However, Dolly Varden have remained matched with fall upstream migrations of spawning Pacific salmon, including coho (Oncorhynchus kisutch), sockeye (Oncorhynchus nerka), and pink salmon. Downstream predator–prey migration synchrony decreased over time and with higher temperatures, particularly with pink salmon. In contrast, upstream migration synchrony was temporally stable and increased with rising temperatures. Differing trends in Dolly Varden predator–prey synchrony may be explained by the direct use of salmon to cue upstream migration, but not downstream migration. Overall, we show that climate change can have differing impacts on predator–prey synchrony across life-history stages.
","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2016-0309","usgsCitation":"Bell, D.A., Kovach, R., Vulstek, S.C., Joyce, J.E., and Tallmon, D.A., 2017, Climate-induced trends in predator–prey synchrony differ across life-history stages of an anadromous salmonid: Canadian Journal of Fisheries and Aquatic Sciences, v. 74, no. 9, p. 1431-1438, https://doi.org/10.1139/cjfas-2016-0309.","productDescription":"8 p.","startPage":"1431","endPage":"1438","ipdsId":"IP-072250","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":347289,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Auke Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -134.64706420898438,\n 58.37863353802563\n ],\n [\n -134.61676597595215,\n 58.37863353802563\n ],\n [\n -134.61676597595215,\n 58.39595479597593\n ],\n [\n -134.64706420898438,\n 58.39595479597593\n ],\n [\n -134.64706420898438,\n 58.37863353802563\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"74","issue":"9","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f05121e4b0220bbd9a1d8c","contributors":{"authors":[{"text":"Bell, Donovan A.","contributorId":198161,"corporation":false,"usgs":false,"family":"Bell","given":"Donovan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":715229,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kovach, Ryan 0000-0001-5402-2123 rkovach@usgs.gov","orcid":"https://orcid.org/0000-0001-5402-2123","contributorId":145914,"corporation":false,"usgs":true,"family":"Kovach","given":"Ryan","email":"rkovach@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":715228,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vulstek, Scott C.","contributorId":198163,"corporation":false,"usgs":false,"family":"Vulstek","given":"Scott","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":715231,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Joyce, John E.","contributorId":198162,"corporation":false,"usgs":false,"family":"Joyce","given":"John","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":715230,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tallmon, David A.","contributorId":198157,"corporation":false,"usgs":false,"family":"Tallmon","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":715232,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70192595,"text":"70192595 - 2017 - Characterizing meteorological and hydrologic conditions associated with shallow landslide initiation in the coastal bluffs of the Atlantic Highlands, New Jersey","interactions":[],"lastModifiedDate":"2017-11-21T11:24:14","indexId":"70192595","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Characterizing meteorological and hydrologic conditions associated with shallow landslide initiation in the coastal bluffs of the Atlantic Highlands, New Jersey","docAbstract":"Meteorological and hydrologic conditions associated with shallow landslide initiation in the coastal bluffs of the Atlantic Highlands, New Jersey remain undocumented despite a history of damaging slope movement extending back to at least 1903. This study applies an empirical approach to quantify the rainfall conditions leading to shallow landsliding based on analysis of overlapping historical precipitation data and records of landslide occurrence, and uses continuous monitoring to quantify antecedent soil moisture and hydrologic response to rainfall events at two failure-prone hillslopes. Analysis of historical rainfall data reveals that both extended duration and cumulative rainfall amounts are critical characteristics of many landslide-inducing storms, and is consistent with current monitoring results that show notable increases in shallow soil moisture and pore-water pressure in continuous rainfall periods. Monitoring results show that shallow groundwater levels and soil moisture increase from annual lows in late summer-early fall to annual highs in late winter-early spring, and historical data indicate that shallow landslides occur most commonly from tropical cyclones in late summer through fall and nor’easters in spring. Based on this seasonality, we derived two provisional rainfall thresholds using a limited dataset of documented landslides and rainfall conditions for each season and storm type. A lower threshold for landslide initiation in spring corresponds with high antecedent moisture conditions, and higher rainfall amounts are required to induce shallow landslides during the drier soil moisture conditions in late summer-early fall.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":" Landslides: Putting Experience, Knowledge and Emerging Technologies into Practice:Special Publication 27","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"3rd North American Symposium on Landslides","conferenceDate":"June 4–8, 2017","conferenceLocation":"Roanoke, VA","language":"English","publisher":"Association of Environmental & Engineering Geologists (AEG)","isbn":"978-0-9897253-7-8","usgsCitation":"Ashland, F., Fiore, A.R., and Reilly, P.A., 2017, Characterizing meteorological and hydrologic conditions associated with shallow landslide initiation in the coastal bluffs of the Atlantic Highlands, New Jersey, in Landslides: Putting Experience, Knowledge and Emerging Technologies into Practice:Special Publication 27, Roanoke, VA, June 4–8, 2017, p. 461-472.","productDescription":"12 p.","startPage":"461","endPage":"472","ipdsId":"IP-081612","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":349185,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","otherGeospatial":"Atlantic Highlands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.0643310546875,\n 40.349683979095545\n ],\n [\n -73.95584106445312,\n 40.349683979095545\n ],\n [\n -73.95584106445312,\n 40.42499671108253\n ],\n [\n -74.0643310546875,\n 40.42499671108253\n ],\n [\n -74.0643310546875,\n 40.349683979095545\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fb74e4b06e28e9c230cb","contributors":{"editors":[{"text":"De Graff, Jerome V.","contributorId":195393,"corporation":false,"usgs":false,"family":"De Graff","given":"Jerome","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":722952,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Shakoor, Abdul","contributorId":200638,"corporation":false,"usgs":false,"family":"Shakoor","given":"Abdul","email":"","affiliations":[],"preferred":false,"id":722953,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Ashland, Francis 0000-0001-9948-0195 fashland@usgs.gov","orcid":"https://orcid.org/0000-0001-9948-0195","contributorId":198587,"corporation":false,"usgs":true,"family":"Ashland","given":"Francis","email":"fashland@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":716486,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fiore, Alex R. 0000-0002-0986-5225 afiore@usgs.gov","orcid":"https://orcid.org/0000-0002-0986-5225","contributorId":4977,"corporation":false,"usgs":true,"family":"Fiore","given":"Alex","email":"afiore@usgs.gov","middleInitial":"R.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":716487,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reilly, Pamela A. 0000-0002-2937-4490 jankowsk@usgs.gov","orcid":"https://orcid.org/0000-0002-2937-4490","contributorId":653,"corporation":false,"usgs":true,"family":"Reilly","given":"Pamela","email":"jankowsk@usgs.gov","middleInitial":"A.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":716488,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192707,"text":"70192707 - 2017 - Parental care mitigates carry-over effects of poor early conditions on offspring growth","interactions":[],"lastModifiedDate":"2017-11-08T14:33:09","indexId":"70192707","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":981,"text":"Behavioral Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Parental care mitigates carry-over effects of poor early conditions on offspring growth","docAbstract":"Poor developmental conditions can have long-lasting negative effects on offspring phenotypes, but impacts often differ among species. Contrasting responses may reflect disparities in experimental protocols among single-species studies or inherent differences among species in their sensitivity to early conditions and/or ability to mitigate negative impacts. We used a common experimental protocol to assess and compare the role of parental care in mitigating effects of poor early conditions on offspring among 4 sympatric bird species in the wild. We experimentally induced low incubation temperatures and examined effects on embryonic developmental rates, hatching success, nestling growth rates, and parental responses. We examined the generality of these effects across 4 species that differ in their phylogenetic history, breeding ecology, and life histories. We found that cooling led to delayed hatching in all species, but carry-over effects on offspring differed among species. Parents of some but not all species increased their offspring provisioning rates in response to experimental cooling with critical benefits for offspring growth rates. Our study shows for the first time that species exhibit clear differences in the degree to which they are affected by poor early conditions. Observed differences among species demonstrate that parental care is a critical mechanism for mitigating potential negative effects on offspring and suggest that parental responses may be constrained to varying degrees by ecology and life histories.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/beheco/arx082","usgsCitation":"Auer, S.K., and Martin, T.E., 2017, Parental care mitigates carry-over effects of poor early conditions on offspring growth: Behavioral Ecology, v. 28, no. 4, p. 1176-1182, https://doi.org/10.1093/beheco/arx082.","productDescription":"7 p.","startPage":"1176","endPage":"1182","ipdsId":"IP-069790","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469644,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/beheco/arx082","text":"Publisher Index Page"},{"id":348473,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-06","publicationStatus":"PW","scienceBaseUri":"5a0425b5e4b0dc0b45b4533a","contributors":{"authors":[{"text":"Auer, Sonya K.","contributorId":74267,"corporation":false,"usgs":true,"family":"Auer","given":"Sonya","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":721310,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martin, Thomas E. 0000-0002-4028-4867 tmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-4028-4867","contributorId":1208,"corporation":false,"usgs":true,"family":"Martin","given":"Thomas","email":"tmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716748,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70193822,"text":"70193822 - 2017 - Balancing lake ecological condition and agriculture irrigation needs in the Mississippi Alluvial Valley","interactions":[],"lastModifiedDate":"2017-11-08T15:40:50","indexId":"70193822","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":682,"text":"Agriculture, Ecosystems and Environment","active":true,"publicationSubtype":{"id":10}},"title":"Balancing lake ecological condition and agriculture irrigation needs in the Mississippi Alluvial Valley","docAbstract":"The Mississippi Alluvial Valley includes hundreds of floodplain lakes that support unique fish assemblages and high biodiversity. Irrigation practices in the valley have lowered the water table, increasing the cost of pumping water, and necessitating the use of floodplain lakes as a source of water for irrigation. This development has prompted the need to regulate water withdrawals to protect aquatic resources, but it is unknown how much water can be withdrawn from lakes before ecological integrity is compromised. To estimate withdrawal limits, we examined descriptors of lake water quality (i.e., total nitrogen, total phosphorus, turbidity, Secchi visibility, chlorophyll-a) and fish assemblages (species richness, diversity, composition) relative to maximum depth in 59 floodplain lakes. Change-point regression analysis was applied to identify critical depths at which the relationships between depth and lake descriptors exhibited a rapid shift in slope, suggesting possible thresholds. All our water quality and fish assemblage descriptors showed rapid changes relative to depth near 1.2–2.0 m maximum depth. This threshold span may help inform regulatory decisions about water withdrawal limits. Alternatives to explain the triggers of the observed threshold span are considered.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.agee.2017.06.022","usgsCitation":"Miranda, L.E., Omer, A., and Killgore, K., 2017, Balancing lake ecological condition and agriculture irrigation needs in the Mississippi Alluvial Valley: Agriculture, Ecosystems and Environment, v. 246, p. 354-360, https://doi.org/10.1016/j.agee.2017.06.022.","productDescription":"7 p.","startPage":"354","endPage":"360","ipdsId":"IP-085518","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":348503,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Mississippi","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.4339599609375,\n 34.962497232449145\n ],\n [\n -90.758056640625,\n 34.97600151317588\n ],\n [\n -91.109619140625,\n 34.88593094075317\n ],\n [\n -91.47216796875,\n 34.6241677899049\n ],\n [\n -91.77429199218749,\n 34.32529192442733\n ],\n [\n -91.878662109375,\n 34.00258128543371\n ],\n [\n -92.0379638671875,\n 33.5963189611327\n ],\n [\n -92.07092285156249,\n 33.38099943104024\n ],\n [\n -92.0050048828125,\n 33.04090311724091\n ],\n [\n -91.0986328125,\n 33.03629817885956\n ],\n [\n -90.9832763671875,\n 32.48196313217176\n ],\n [\n -90.5438232421875,\n 32.67174887226337\n ],\n [\n -90.4339599609375,\n 33.123750829710225\n ],\n [\n -90.296630859375,\n 33.62376800118811\n ],\n [\n -90.1153564453125,\n 34.19817309627726\n ],\n [\n -90.04394531249999,\n 34.59704151614417\n ],\n [\n -90,\n 34.84085858477277\n ],\n [\n -90.164794921875,\n 34.92197103616377\n ],\n [\n -90.4339599609375,\n 34.962497232449145\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"246","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a0425b4e4b0dc0b45b4532f","contributors":{"authors":[{"text":"Miranda, Leandro E. 0000-0002-2138-7924 smiranda@usgs.gov","orcid":"https://orcid.org/0000-0002-2138-7924","contributorId":531,"corporation":false,"usgs":true,"family":"Miranda","given":"Leandro","email":"smiranda@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":720610,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Omer, A.R.","contributorId":200190,"corporation":false,"usgs":false,"family":"Omer","given":"A.R.","email":"","affiliations":[{"id":35483,"text":"Department of Wildlife, Fisheries, and Aquaculture, Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":721372,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Killgore, K.J.","contributorId":200191,"corporation":false,"usgs":false,"family":"Killgore","given":"K.J.","email":"","affiliations":[{"id":33009,"text":"Engineer Research and Development Center, U. S. Army Corps of Engineers, Vicksburg, Mississippi","active":true,"usgs":false}],"preferred":false,"id":721373,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192826,"text":"70192826 - 2017 - Study of responses of 64-story Rincon Building to Napa, Fremont, Piedmont, San Ramon earthquakes and ambient motions","interactions":[],"lastModifiedDate":"2017-10-31T10:54:21","indexId":"70192826","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Study of responses of 64-story Rincon Building to Napa, Fremont, Piedmont, San Ramon earthquakes and ambient motions","docAbstract":"We analyze the recorded responses of a 64-story, instrumented, concrete core shear wall building in San Francisco, California, equipped with tuned sloshing liquid dampers (TSDs) and buckling restraining braces (BRBs). Previously, only ambient data from the 72-channel array in the building were studied (Çelebi et al. 2013). Recently, the 24 August 2014 Mw 6.0 Napa and three other earthquakes were recorded. The peak accelerations of ambient and the larger Napa earthquake responses at the basement are 0.12 cm/s/s and 5.2 cm/s/s respectively—a factor of ~42. At the 61st level, they are 0.30 cm/s/s (ambient) and 16.8 cm/s/s (Napa), respectively—a factor of ~56. Fundamental frequencies (NS ~ 0.3, EW ~ 0.27 Hz) from earthquake responses vary within an insignificant frequency band of ~0.02–0.03 Hz when compared to those from ambient data. In the absence of soil-structure interaction (SSI), these small and insignificant differences may be attributed to (1) identification errors, (2) any nonlinear behavior, and (3) shaking levels that are not large enough to activate the BRBs and TSDs to make significant shifts in frequencies and increase damping.
","language":"English","publisher":"Earthquake Engineering Research Institute","doi":"10.1193/031616EQS041M","usgsCitation":"Çelebi, M., Hooper, J., and Klemencic, R., 2017, Study of responses of 64-story Rincon Building to Napa, Fremont, Piedmont, San Ramon earthquakes and ambient motions: Earthquake Spectra, v. 33, no. 3, p. 1125-1148, https://doi.org/10.1193/031616EQS041M.","productDescription":"24 p.","startPage":"1125","endPage":"1148","ipdsId":"IP-071292","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":347820,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Fremont, Napa, Piedmont, San Ramon","volume":"33","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-01","publicationStatus":"PW","scienceBaseUri":"59f98bb6e4b0531197af9fe7","contributors":{"authors":[{"text":"Çelebi, Mehmet 0000-0002-4769-7357 celebi@usgs.gov","orcid":"https://orcid.org/0000-0002-4769-7357","contributorId":3205,"corporation":false,"usgs":true,"family":"Çelebi","given":"Mehmet","email":"celebi@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":717085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooper, John","contributorId":146972,"corporation":false,"usgs":false,"family":"Hooper","given":"John","affiliations":[],"preferred":false,"id":717086,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klemencic, Ron","contributorId":146973,"corporation":false,"usgs":false,"family":"Klemencic","given":"Ron","email":"","affiliations":[],"preferred":false,"id":717087,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70190503,"text":"70190503 - 2017 - Celebrating ten years of collaboration","interactions":[],"lastModifiedDate":"2018-04-23T09:05:18","indexId":"70190503","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5672,"text":"GEOSUR Newsletter","active":true,"publicationSubtype":{"id":10}},"title":"Celebrating ten years of collaboration","docAbstract":"Since the GEOSUR Program launched in 2007, the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center has had the honor of collaborating with CAF, PAIGH, and others supporting the Latin America GEOSUR Program.
The catalyst for starting the program was the convergence of regional geospatial activities USGS, PAIGH, and CAF had been involved in and they seized the opportunity to consolidate, and increase the sharing of geospatial information at national and regional levels.
","publisher":"GEOSUR","usgsCitation":"Cushing, W.M., 2017, Celebrating ten years of collaboration: GEOSUR Newsletter, v. 4, no. 8-9-10, p. 4-5.","productDescription":"2 p.","startPage":"4","endPage":"5","ipdsId":"IP-090413","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":352886,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"8-9-10","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee823e4b0da30c1bfc3f9","contributors":{"authors":[{"text":"Cushing, W. Matthew 0000-0001-5209-6006 mcushing@usgs.gov","orcid":"https://orcid.org/0000-0001-5209-6006","contributorId":2980,"corporation":false,"usgs":true,"family":"Cushing","given":"W.","email":"mcushing@usgs.gov","middleInitial":"Matthew","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":709489,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70193861,"text":"70193861 - 2017 - Suitability of oyster restoration sites along the Louisiana coast: Examining site and stock × site interaction","interactions":[],"lastModifiedDate":"2017-11-06T14:37:28","indexId":"70193861","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2455,"text":"Journal of Shellfish Research","active":true,"publicationSubtype":{"id":10}},"title":"Suitability of oyster restoration sites along the Louisiana coast: Examining site and stock × site interaction","docAbstract":"Recognition of the global loss of subtidal oyster reefs has led to a rise in reef restoration efforts, including in the Gulf of Mexico. Created reef success depends entirely on selecting a location that supports long-term oyster growth and survival, including the recruitment and survival of on-reef oysters. Significant changes in estuarine salinity through management of freshwater inflows and through changed precipitation patterns may significantly impact the locations of optimal oyster restoration sites. These rapid shifts in conditions necessitate a need to better understand both impacts to on-reef oyster growth and population development, and variation in oyster stock performance. Oyster growth, mortality, condition, and disease prevalence were examined in three different stocks of oysters located in protected cages, as well as oyster recruitment and mortality on experimental reef units in three different locations representing a salinity gradient, along the Louisiana Gulf coast in 2011 and 2012. Over a 2-y period, the high-salinity site had highest oyster growth rate in protected cages but demonstrated the least likelihood for reef development based on on-reef oyster population failure, likely because of predation-related mortality (high recruitment and 100% mortality). In contrast, the midsalinity site with moderate oyster growth and on-reef recruitment and low mortality demonstrated a higher likelihood for reef development. The lowest salinity site exhibited extreme variability in all oyster responses between years because of extreme variation in environmental conditions during the study, indicating a low likelihood of long-term reef development. Whereas limited differences in stock performance between sites were found, the range of site environmental conditions tested was ultimately much lower than expected and may not have provided a wide enough range of conditions. In areas with limited, low recruitment, or rapidly changing environmental conditions, seeding with stocks selected for best growth and survival under expected future environmental conditions could better ensure reef development by using oyster populations best suited to the predicted conditions. With rapidly changing estuarine conditions from anthropogenic activities and climate change, siting of oyster reef restoration incorporating both oyster population dynamics and in situ biotic and abiotic interactions is critical in better directing site selection for reef restoration efforts.
","language":"English","publisher":"National Shellfisheries Association","doi":"10.2983/035.036.0206","usgsCitation":"Schwarting Miller, L., La Peyre, J.F., and LaPeyre, M.K., 2017, Suitability of oyster restoration sites along the Louisiana coast: Examining site and stock × site interaction: Journal of Shellfish Research, v. 36, no. 2, p. 341-351, https://doi.org/10.2983/035.036.0206.","productDescription":"11 p.","startPage":"341","endPage":"351","ipdsId":"IP-083230","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":348299,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.592529296875,\n 28.65203063036226\n ],\n [\n -89.088134765625,\n 28.65203063036226\n ],\n [\n -89.088134765625,\n 30.6662659463233\n ],\n [\n -93.592529296875,\n 30.6662659463233\n ],\n [\n -93.592529296875,\n 28.65203063036226\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a07e8a1e4b09af898c8cb90","contributors":{"authors":[{"text":"Schwarting Miller, Lindsay","contributorId":200035,"corporation":false,"usgs":false,"family":"Schwarting Miller","given":"Lindsay","email":"","affiliations":[],"preferred":false,"id":720748,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"La Peyre, Jerome F.","contributorId":34697,"corporation":false,"usgs":true,"family":"La Peyre","given":"Jerome","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":720749,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LaPeyre, Megan K. 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":585,"corporation":false,"usgs":true,"family":"LaPeyre","given":"Megan","email":"mlapeyre@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":720706,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70189985,"text":"70189985 - 2017 - Porosity and pore size distribution in a sedimentary rock: Implications for the distribution of chlorinated solvents","interactions":[],"lastModifiedDate":"2017-08-01T08:03:10","indexId":"70189985","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2233,"text":"Journal of Contaminant Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Porosity and pore size distribution in a sedimentary rock: Implications for the distribution of chlorinated solvents","docAbstract":"Characterizing properties of the rock matrix that control retention and release of chlorinated solvents is essential in evaluating the extent of contamination and the application of remediation technologies in fractured rock. Core samples from seven closely spaced boreholes in a mudstone subject to trichloroethene (TCE) contamination were analyzed using Mercury Intrusion Porosimetry to investigate porosity and pore size distribution as a function of mudstone characteristics, and depth and lateral extent in the aquifer; organic carbon content was also evaluated to identify the potential for adsorption. Porosity and retardation factor varied over two orders of magnitude, with the largest porosities and largest retardation factors associated with carbon-rich mudstone layers. Larger porosities were also measured in the shallow rock that has been subject to enhanced groundwater flow. Porosity also varied over more than an order of magnitude in spatially continuous mudstone layers. The analyses of the rock cores indicated that the largest pore diameters may be accessible to entry of the nonaqueous form of TCE. Although the porosity associated with the largest pore diameters is small (~ 0.1%), that volume of TCE can significantly affect the total TCE that is retained in the rock matrix. The dimensions of the largest pore diameters may also be accessible to microbes responsible for reductive dechlorination; however, the small percentage of the pore space that can accommodate microbes may limit the extent of reductive dechlorination in the rock matrix.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jconhyd.2017.06.006","usgsCitation":"Shapiro, A.M., Evans, C.E., and Hayes, E.C., 2017, Porosity and pore size distribution in a sedimentary rock: Implications for the distribution of chlorinated solvents: Journal of Contaminant Hydrology, v. 203, p. 70-84, https://doi.org/10.1016/j.jconhyd.2017.06.006.","productDescription":"15 p.","startPage":"70","endPage":"84","ipdsId":"IP-086579","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":469650,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jconhyd.2017.06.006","text":"Publisher Index Page"},{"id":438253,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7GX48RZ","text":"USGS data release","linkHelpText":"Data from Mercury Intrusion Porosimetry conducted on samples of a mudstone underlying the Naval Air Warfare Center, West Trenton, NJ"},{"id":438252,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F70Z71GM","text":"USGS data release","linkHelpText":"Lithologic characterization of cores from boreholes 83BR-89BR collected from the mudstone aquifer underlying the Naval Air Warfare Center, West Trenton, NJ"},{"id":344483,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"203","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59819311e4b0e2f5d463b789","contributors":{"authors":[{"text":"Shapiro, Allen M. 0000-0002-6425-9607 ashapiro@usgs.gov","orcid":"https://orcid.org/0000-0002-6425-9607","contributorId":2164,"corporation":false,"usgs":true,"family":"Shapiro","given":"Allen","email":"ashapiro@usgs.gov","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":707000,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, Chrsitopher E.","contributorId":195406,"corporation":false,"usgs":false,"family":"Evans","given":"Chrsitopher","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":707001,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayes, Erin C.","contributorId":195407,"corporation":false,"usgs":false,"family":"Hayes","given":"Erin","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":707002,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70189990,"text":"70189990 - 2017 - How well do route survey areas represent landscapes at larger spatial extents? An analysis of land cover composition along Breeding Bird Survey routes","interactions":[],"lastModifiedDate":"2018-03-29T14:24:11","indexId":"70189990","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1318,"text":"Condor","active":true,"publicationSubtype":{"id":10}},"title":"How well do route survey areas represent landscapes at larger spatial extents? An analysis of land cover composition along Breeding Bird Survey routes","docAbstract":"The occurrence of birds in a survey unit is partly determined by the habitat present. Moreover, some bird species preferentially avoid some land cover types and are attracted to others. As such, land cover composition within the 400 m survey areas along a Breeding Bird Survey (BBS) route clearly influences the species available to be detected. Ideally, to extend survey results to the larger landscape, land cover composition within the survey area should be similar to that at larger spatial extents defining the landscape. Such representativeness helps minimize possible roadside effects (bias), here defined as differences in bird species composition and abundance along a roadside as compared to a larger surrounding landscape. We used land cover data from the 2011 National Land Cover Database to examine representativeness of land cover composition along routes. Using ArcGIS, the percentages of each of 15 land cover types within 400 m buffers along 2,696 U.S. BBS routes were calculated and compared to percentages in 2 km, 5 km, and 10 km buffers surrounding each route. This assessment revealed that aquatic cover types and highly urbanized land tend to be slightly underrepresented in the survey areas. Two anthropogenic cover types (pasture/hay and cropland) may be slightly overrepresented in the survey areas. Over all cover types, 92% of the 2,696 routes exhibited “good” representativeness, with <5 percentage points per cover type difference in proportional cover between the 400 m and 10 km buffers. This assessment further supports previous research indicating that any land-cover-based roadside bias in the bird data of the BBS is likely minimal.
","language":"English","publisher":"American Ornithological Society","doi":"10.1650/CONDOR-17-15.1","usgsCitation":"Veech, J.A., Pardieck, K.L., and Ziolkowski, D., 2017, How well do route survey areas represent landscapes at larger spatial extents? An analysis of land cover composition along Breeding Bird Survey routes: Condor, v. 119, no. 3, p. 607-615, https://doi.org/10.1650/CONDOR-17-15.1.","productDescription":"9 p.","startPage":"607","endPage":"615","ipdsId":"IP-080236","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":469723,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1650/condor-17-15.1","text":"Publisher Index Page"},{"id":352952,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"119","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee839e4b0da30c1bfc403","contributors":{"authors":[{"text":"Veech, Joseph A.","contributorId":195410,"corporation":false,"usgs":false,"family":"Veech","given":"Joseph","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":707017,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pardieck, Keith L. 0000-0003-2779-4392 kpardieck@usgs.gov","orcid":"https://orcid.org/0000-0003-2779-4392","contributorId":4104,"corporation":false,"usgs":true,"family":"Pardieck","given":"Keith","email":"kpardieck@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":707015,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ziolkowski, David 0000-0002-2500-4417 dziolkowski@usgs.gov","orcid":"https://orcid.org/0000-0002-2500-4417","contributorId":195409,"corporation":false,"usgs":true,"family":"Ziolkowski","given":"David","email":"dziolkowski@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":707016,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70189981,"text":"70189981 - 2017 - Use of navigation channels by Lake Sturgeon: Does channelization increase vulnerability of fish to ship strikes?","interactions":[],"lastModifiedDate":"2017-08-01T07:10:19","indexId":"70189981","displayToPublicDate":"2017-08-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Use of navigation channels by Lake Sturgeon: Does channelization increase vulnerability of fish to ship strikes?","docAbstract":"Channelization for navigation and flood control has altered the hydrology and bathymetry of many large rivers with unknown consequences for fish species that undergo riverine migrations. In this study, we investigated whether altered flow distributions and bathymetry associated with channelization attracted migrating Lake Sturgeon (Acipenser fulvescens) into commercial navigation channels, potentially increasing their exposure to ship strikes. To address this question, we quantified and compared Lake Sturgeon selection for navigation channels vs. alternative pathways in two multi-channel rivers differentially affected by channelization, but free of barriers to sturgeon movement. Acoustic telemetry was used to quantify Lake Sturgeon movements. Under the assumption that Lake Sturgeon navigate by following primary flow paths, acoustic-tagged Lake Sturgeon in the more-channelized lower Detroit River were expected to choose navigation channels over alternative pathways and to exhibit greater selection for navigation channels than conspecifics in the less-channelized lower St. Clair River. Consistent with these predictions, acoustic-tagged Lake Sturgeon in the more-channelized lower Detroit River selected the higher-flow and deeper navigation channels over alternative migration pathways, whereas in the less-channelized lower St. Clair River, individuals primarily used pathways alternative to navigation channels. Lake Sturgeon selection for navigation channels as migratory pathways also was significantly higher in the more-channelized lower Detroit River than in the less-channelized lower St. Clair River. We speculated that use of navigation channels over alternative pathways would increase the spatial overlap of commercial vessels and migrating Lake Sturgeon, potentially enhancing their vulnerability to ship strikes. Results of our study thus demonstrated an association between channelization and the path use of migrating Lake Sturgeon that could prove important for predicting sturgeon-vessel interactions in navigable rivers as well as for understanding how fish interact with their habitat in landscapes altered by human activity.","language":"English","doi":"10.1371/journal.pone.0179791","usgsCitation":"Hondorp, D.W., Bennion, D., Roseman, E.F., Holbrook, C., Boase, J., Chiotti, J., Thomas, M.V., Wills, T.C., Drouin, R., Kessel, S.T., and Krueger, C., 2017, Use of navigation channels by Lake Sturgeon: Does channelization increase vulnerability of fish to ship strikes?: PLoS ONE, v. 12, no. 7, e0179791: 18 p., https://doi.org/10.1371/journal.pone.0179791.","productDescription":"e0179791: 18 p.","ipdsId":"IP-084062","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":469647,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0179791","text":"Publisher Index Page"},{"id":344479,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, Ontario","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.20907592773438,\n 42.05643057984999\n ],\n [\n -83.07723999023438,\n 42.05643057984999\n ],\n [\n -83.07723999023438,\n 42.20105559753742\n ],\n [\n -83.20907592773438,\n 42.20105559753742\n ],\n [\n -83.20907592773438,\n 42.05643057984999\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.72842407226562,\n 42.48222557002593\n ],\n [\n -82.50869750976562,\n 42.48222557002593\n ],\n [\n -82.50869750976562,\n 42.64810165693524\n ],\n [\n -82.72842407226562,\n 42.64810165693524\n ],\n [\n -82.72842407226562,\n 42.48222557002593\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"7","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-05","publicationStatus":"PW","scienceBaseUri":"59819313e4b0e2f5d463b78b","contributors":{"authors":[{"text":"Hondorp, Darryl W. 0000-0002-5182-1963 dhondorp@usgs.gov","orcid":"https://orcid.org/0000-0002-5182-1963","contributorId":5376,"corporation":false,"usgs":true,"family":"Hondorp","given":"Darryl","email":"dhondorp@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":706977,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bennion, David 0000-0003-4927-4195 dbennion@usgs.gov","orcid":"https://orcid.org/0000-0003-4927-4195","contributorId":149533,"corporation":false,"usgs":true,"family":"Bennion","given":"David","email":"dbennion@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":706978,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roseman, Edward F. 0000-0002-5315-9838 eroseman@usgs.gov","orcid":"https://orcid.org/0000-0002-5315-9838","contributorId":168428,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward","email":"eroseman@usgs.gov","middleInitial":"F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":706979,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holbrook, Christopher M. 0000-0001-8203-6856 cholbrook@usgs.gov","orcid":"https://orcid.org/0000-0001-8203-6856","contributorId":139681,"corporation":false,"usgs":true,"family":"Holbrook","given":"Christopher","email":"cholbrook@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":706980,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boase, James C.","contributorId":38077,"corporation":false,"usgs":false,"family":"Boase","given":"James C.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":706981,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chiotti, Justin A.","contributorId":26629,"corporation":false,"usgs":false,"family":"Chiotti","given":"Justin A.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":706982,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thomas, Michael V.","contributorId":195401,"corporation":false,"usgs":false,"family":"Thomas","given":"Michael","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":706983,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wills, Todd C.","contributorId":195402,"corporation":false,"usgs":false,"family":"Wills","given":"Todd","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":706984,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Drouin, Richard","contributorId":70288,"corporation":false,"usgs":false,"family":"Drouin","given":"Richard","email":"","affiliations":[{"id":6780,"text":"Ontario Ministry of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":706985,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kessel, Steven T.","contributorId":195403,"corporation":false,"usgs":false,"family":"Kessel","given":"Steven","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":706986,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Krueger, Charles C.","contributorId":67821,"corporation":false,"usgs":false,"family":"Krueger","given":"Charles C.","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":706987,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70189156,"text":"ofr20171079 - 2017 - Compilation of geospatial data for the mineral industries and related infrastructure of Latin America and the Caribbean","interactions":[],"lastModifiedDate":"2017-08-28T13:20:56","indexId":"ofr20171079","displayToPublicDate":"2017-07-31T17:35:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1079","title":"Compilation of geospatial data for the mineral industries and related infrastructure of Latin America and the Caribbean","docAbstract":"This report describes the U.S. Geological Survey’s (USGS) ongoing commitment to its mission of understanding the nature and distribution of global mineral commodity supply chains by updating and publishing the georeferenced locations of mineral commodity production and processing facilities, mineral exploration and development sites, and mineral commodity exporting ports in Latin America and the Caribbean. The report includes an overview of data sources and an explanation of the geospatial PDF map format.
The geodatabase and geospatial data layers described in this report create a new geographic information product in the form of a geospatial portable document format (PDF) map. The geodatabase contains additional data layers from USGS, foreign governmental, and open-source sources as follows: (1) coal occurrence areas, (2) electric power generating facilities, (3) electric power transmission lines, (4) hydrocarbon resource cumulative production data, (5) liquefied natural gas terminals, (6) oil and gas concession leasing areas, (7) oil and gas field center points, (8) oil and gas pipelines, (9) USGS petroleum provinces, (10) railroads, (11) recoverable proven plus probable hydrocarbon resources, (12) major cities, (13) major rivers, and (14) undiscovered porphyry copper tracts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171079","collaboration":"Prepared in cooperation with the Inter-American Development Bank","usgsCitation":"Baker, M.S., Buteyn, S.D., Freeman, P.A., Trippi, M.H., and Trimmer, L.M., III, 2017, Compilation of geospatial data for the mineral industries and related infrastructure of Latin America and the Caribbean: U.S. Geological Survey Open-File Report 2017–1079, 87 p., 1 geodatabase and 1 geospatial PDF map, https://doi.org/10.3133/ofr20171079. ","productDescription":"Report: xi, 87 p; 3 Data Releases; Geodatabase and Metadata; Map: 8.5 x 11.0 inches","numberOfPages":"104","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-078672","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":438258,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7BZ6460","text":"USGS data release","linkHelpText":"Mineral commodity exporting ports of Latin America and the Caribbean"},{"id":344263,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://www.sciencebase.gov/catalog/item/58093603e4b0f497e78f3f31","text":"USGS data release","description":"USGS data release","linkHelpText":"Mineral commodity exporting ports of Latin America and the Caribbean"},{"id":344257,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1079/coverthb.jpg"},{"id":344258,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1079/ofr20171079.pdf","text":"Report","size":"4.81 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1079"},{"id":344259,"rank":3,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/2017/1079/ofr20171079_lac-indust-infra.pdf","text":"Geospatial Map","size":"29 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Compilation of Geospatial Data for the Mineral Industries and Related Infrastructure of Latin America and the Caribbean"},{"id":344260,"rank":4,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/of/2017/1079/ofr20171079_lac-indust-infra.zip","text":"Geodatabase and metadata","size":"28.7 MB","linkFileType":{"id":6,"text":"zip"}},{"id":344261,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7MG7MM6","text":"USGS data release","description":"USGS data release","linkHelpText":"Mineral facilities of Latin America and the Caribbean"},{"id":344262,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7GQ6VWG","text":"USGS data release","description":"USGS data release","linkHelpText":"Mineral exploration sites of Latin America and the Caribbean"}],"otherGeospatial":"Caribbean, Latin America","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.828125,\n -57.51582286553883\n ],\n [\n -29.179687499999996,\n -57.51582286553883\n ],\n [\n -29.179687499999996,\n 34.30714385628804\n ],\n [\n -118.828125,\n 34.30714385628804\n ],\n [\n -118.828125,\n -57.51582286553883\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"National Minerals Information Center
U.S. Geological Survey
12201 Sunrise Valley Drive
988 National Center
Reston, VA 20192
Email: nmicrecordsmgt@usgs.gov