{"pageNumber":"1200","pageRowStart":"29975","pageSize":"25","recordCount":165307,"records":[{"id":70145964,"text":"ofr20151066 - 2015 - Exposure-related effects of Pseudomonas fluorescens (Pf-CL145A) on juvenile unionid mussels","interactions":[],"lastModifiedDate":"2015-05-15T09:01:50","indexId":"ofr20151066","displayToPublicDate":"2015-04-16T10:30:00","publicationYear":"2015","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":"2015-1066","title":"Exposure-related effects of Pseudomonas fluorescens (Pf-CL145A) on juvenile unionid mussels","docAbstract":"

The exposure-related effects of a commercially prepared spray-dried powder (SDP) or freeze-dried powder (FDP) formulation of Pseudomonas fluorescens (strain CL145A) on the survival of seven species of newly metamorphosed (<72 hours old) freshwater unionid mussels was evaluated. Forty unionid mussels of each species were randomly distributed to test chambers and each species independently exposed for 24 hours to a static dose of either SDP (four species: Lampsilis cardium, Lampsilis siliquoidea, Lampsilis higginsii, andLigumia recta) or FDP (three species: Obovaria olivaria, Actinonaias ligamentina, andMegalonaias nervosa).

\n

Each test chamber was assigned to one of six treatment groups (n = four chambers per group) by using a randomized block design. The six treatment groups included (1) an untreated control group, (2) groups that received applications with nominal target active ingredient (AI) concentrations of 50, 100, 200, and 300 milligrams per liter (mg/L), and (3) a group that received an application with a nominal target AI concentration of 300 mg/L of heat-deactivated test article (300 HD). After a 24-hour exposure period, water inflow to the test chambers was restored, and the unionid mussels were maintained for an additional 7 days before they were assessed for survival.

\n

Mean survival of four unionid mussels species exposed to SDP varied among species and treatment groups when compared to the untreated control groups. The results indicate that exposure to SDP-formulated P. fluorescens up to the maximum label concentration (100 mg/L AI) and up to three times the maximum label exposure duration (8 hours) is not likely to affect the survival of L. siliquoidea and L. higginsii. Low mean survival in the L. recta control group (25.0 percent) indicates that results for L. recta should be interpreted with caution. Mean survival of the L. cardium was significantly lower in all treated groups (14.4 to 40.6 percent) compared to the control group (68.8 percent). These results indicate that further investigation on the impact of SDP-formulated P. fluorescens on L. recta and L. cardium is warranted.

\n

Mean survival of three unionid mussels species exposed to FDP was not significantly different in the 50-, 100-, and 200-mg/L AI treatment groups and the 300 mg/L heat-deactivated treatment groups when compared to the control groups. Mean survival of O. olivaria and M. nervosa was significantly lower in the 300-mg/L AI treated groups (38.1 and 48.1 percent, respectively) compared to the control groups (71.9 and 88.1 percent, respectively). The results indicate that exposure to FDP-formulated P. fluorescens up to the maximum label concentration (100 mg/L AI) and up to three times the maximum label exposure duration (8 hours) is not likely to affect the survival of O. olivaria, A. ligamentina, and M. nervosa.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151066","usgsCitation":"Weber, K.L., Luoma, J.A., Mayer, D.A., Aloisi, D.B., and Eckert, N.L., 2015, Exposure-related effects of Pseudomonas fluorescens (Pf-CL145A) on juvenile unionid mussels: U.S. Geological Survey Open-File Report 2015-1066, viii, 663 p., https://doi.org/10.3133/ofr20151066.","productDescription":"viii, 663 p.","startPage":"663 p.","numberOfPages":"664","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-063676","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":299715,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151066.jpg"},{"id":299712,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1066/pdf/ofr2015-1066.pdf","text":"Report","size":"15.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":299708,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1066/"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5530cf1fe4b0b22a1580613b","contributors":{"authors":[{"text":"Weber, Kerry L. klweber@usgs.gov","contributorId":4750,"corporation":false,"usgs":true,"family":"Weber","given":"Kerry","email":"klweber@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":545049,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luoma, James A. 0000-0003-3556-0190 jluoma@usgs.gov","orcid":"https://orcid.org/0000-0003-3556-0190","contributorId":4449,"corporation":false,"usgs":true,"family":"Luoma","given":"James","email":"jluoma@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":545048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mayer, Denise A.","contributorId":140168,"corporation":false,"usgs":false,"family":"Mayer","given":"Denise","email":"","middleInitial":"A.","affiliations":[{"id":13400,"text":"New York State Museum, Cambridge Field Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":545050,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aloisi, Douglas B.","contributorId":140169,"corporation":false,"usgs":false,"family":"Aloisi","given":"Douglas","email":"","middleInitial":"B.","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":545051,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eckert, Nathan L.","contributorId":140170,"corporation":false,"usgs":false,"family":"Eckert","given":"Nathan","email":"","middleInitial":"L.","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":545052,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70142424,"text":"sir20155039 - 2015 - Characterization of streamflow, salinity, and selenium loading and land-use change in Montrose Arroyo, western Colorado, from 1992 to 2013","interactions":[],"lastModifiedDate":"2015-04-17T14:13:49","indexId":"sir20155039","displayToPublicDate":"2015-04-16T10:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5039","title":"Characterization of streamflow, salinity, and selenium loading and land-use change in Montrose Arroyo, western Colorado, from 1992 to 2013","docAbstract":"

Salinity and dissolved selenium are known water-quality impairments in the lower Gunnison River watershed of western Colorado. Salinity is a concern because of its adverse effects on agricultural land and equipment, and on municipal and industrial users. The Montrose Arroyo watershed in Montrose, Colorado, contains agricultural and residential areas as well as undeveloped land and has undergone substantial land-use change since the early 1990s. Previous sampling efforts indicated salinity concentrations and loads have remained constant since land-use change began in the early 1990s; however, recent sampling also indicated that dissolved-selenium concentrations and loads have begun to increase. In response to the potential increasing dissolved-selenium concentrations and loads, the U.S. Geological Survey—in cooperation with the Bureau of Reclamation; Colorado River Basin Salinity Control Forum; and Colorado River Water Conservation District—continued to monitor salinity and dissolved-selenium concentrations and loads in the Montrose Arroyo watershed. This report characterizes salinity and dissolved-selenium loads in Montrose Arroyo from 1992 to 2013 at three sites: Montrose Arroyo at East Niagara Street (MA2, U.S. Geological Survey site identification number 382802107513301), Montrose Arroyo at 6700 Road (MA3, U.S. Geological Survey site identification number 382711107500501), and Montrose Arroyo at 6750 and Ogden Roads (MA4, U.S. Geological Survey site identification number 382702107493701). A detailed land-use change analysis was also characterized in the MA3 subwatershed.

\n

The three sites were used to monitor salinity and dissolved-selenium concentrations and loads in Montrose Arroyo. Over a period from December 2011 through September 2013, 46 water-quality samples and streamflow measurements were collected at sites MA2, MA3, and MA4. Streamflow, salinity concentrations and loads, and selenium concentrations and loads were characterized and compared between the pre-lateral (before April 1999) and post-growth periods (March 2008 through September 2013) and between post-lateral (April 1999 through October 2000) and post-growth periods.

\n

Results from a previous USGS study on the characterization of salinity and selenium loading and land-use change in Montrose Arroyo from 1992 to 2010 indicated that there was no change in salinity load at site MA2 and a significant increase in dissolved-selenium load from the pre-lateral period to the post-growth period. Data associated with this report indicate the selenium loads at site MA2 show no significant change from the pre-lateral period to the post-growth period. In addition, both salinity load and dissolved-selenium load at site MA3 show significant decreases in salinity and dissolved-selenium load for both periods that are potentially associated with land-use change.

\n

Land use was characterized for 1992, 2002, and 2009 for site MA3. The common land-use change in the MA3 subwatershed was a conversion from previously irrigated agricultural land to urban land use. The MA3 subwatershed had 124 acres of irrigated land use converted to urban land use and 27.1 acres of unirrigated desert converted to urban land use from 1992 to 2009. Consistent with findings in previous land-use change reports, salinity and dissolved-selenium loading at site MA3 showed significant decreases as irrigated land was converted to urban land use.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155039","collaboration":"Bureau of Reclamation; Colorado River Basin Salinity Control Forum; Colorado River Water Conservation District","usgsCitation":"Richards, R.J., and Moore, J.L., 2015, Characterization of streamflow, salinity, and selenium loading and land-use change in Montrose Arroyo, western Colorado, from 1992 to 2013: U.S. Geological Survey Scientific Investigations Report 2015-5039, v, 18 p., https://doi.org/10.3133/sir20155039.","productDescription":"v, 18 p.","startPage":"18","numberOfPages":"27","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"1992-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-060484","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":299711,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":299710,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5039/pdf/sir2015-5039.pdf","text":"Report","size":"25.6","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":299703,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5039/"}],"country":"United States","state":"Colorado","city":"Montrose","otherGeospatial":"Montrose Arroyo","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.80634880065918,\n 38.48705404120269\n ],\n [\n -107.7883243560791,\n 38.478050840591465\n ],\n [\n -107.77956962585449,\n 38.47462395385454\n ],\n [\n -107.77124404907227,\n 38.47489273517196\n ],\n [\n -107.75562286376953,\n 38.47193608556816\n ],\n [\n -107.74043083190918,\n 38.46561920067743\n ],\n [\n -107.73914337158203,\n 38.45735265386234\n ],\n [\n -107.74077415466309,\n 38.44364019496866\n ],\n [\n -107.74884223937988,\n 38.434833271500445\n ],\n [\n -107.76575088500977,\n 38.433892010024444\n ],\n [\n -107.77519226074219,\n 38.43564005728452\n ],\n [\n -107.78094291687012,\n 38.43564005728452\n ],\n [\n -107.79939651489256,\n 38.42508389732895\n ],\n [\n -107.80866622924805,\n 38.427168356912205\n ],\n [\n -107.82136917114258,\n 38.42817694478974\n ],\n [\n -107.82360076904297,\n 38.426764917817145\n ],\n [\n -107.83681869506836,\n 38.43234562524602\n ],\n [\n -107.8901195526123,\n 38.494376710715805\n ],\n [\n -107.88711547851562,\n 38.49753396243774\n ],\n [\n -107.8813648223877,\n 38.496593518947556\n ],\n [\n -107.86788940429688,\n 38.485240053939975\n ],\n [\n -107.8557014465332,\n 38.481746320193345\n ],\n [\n -107.80634880065918,\n 38.48705404120269\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5530cf1de4b0b22a15806133","contributors":{"authors":[{"text":"Richards, Rodney J. 0000-0003-3953-984X rjrichar@usgs.gov","orcid":"https://orcid.org/0000-0003-3953-984X","contributorId":2204,"corporation":false,"usgs":true,"family":"Richards","given":"Rodney","email":"rjrichar@usgs.gov","middleInitial":"J.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":544993,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moore, Jennifer L.","contributorId":68447,"corporation":false,"usgs":true,"family":"Moore","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":544994,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70147593,"text":"70147593 - 2015 - Carbon exchange between the atmosphere and subtropical forested cypress and pine wetlands","interactions":[],"lastModifiedDate":"2016-07-18T22:50:40","indexId":"70147593","displayToPublicDate":"2015-04-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Carbon exchange between the atmosphere and subtropical forested cypress and pine wetlands","docAbstract":"

Carbon dioxide exchange between the atmosphere and forested subtropical wetlands is largely unknown. Here we report a first step in characterizing this atmospheric–ecosystem carbon (C) exchange, for cypress strands and pine forests in the Greater Everglades of Florida as measured with eddy covariance methods at three locations (Cypress Swamp, Dwarf Cypress and Pine Upland) for 2 years. Links between water and C cycles are also examined at these three sites, as are methane emission measured only at the Dwarf Cypress site. Each forested wetland showed net C uptake from the atmosphere both monthly and annually, as indicated by the net ecosystem exchange (NEE) of carbon dioxide (CO2). For this study, NEE is the difference between photosynthesis and respiration, with negative values representing uptake from the atmosphere that is retained in the ecosystem or transported laterally via overland flow (unmeasured for this study). Atmospheric C uptake (NEE) was greatest at the Cypress Swampp (−900 to −1000 g C m2 yr−1), moderate at the Pine Upland (−650 to −700 g C m2 yr−1) and least at the Dwarf Cypress (−400 to −450 g C m2 yr−1). Changes in NEE were clearly a function of seasonality in solar insolation, air temperature and flooding, which suppressed heterotrophic soil respiration. We also note that changes in the satellite-derived enhanced vegetation index (EVI) served as a useful surrogate for changes in NEE at these forested wetland sites.

","language":"English","publisher":"European Geosciences Union","doi":"10.5194/bg-12-2285-2015","usgsCitation":"Shoemaker, W., Anderson, F.E., Barr, J.G., Graham, S.L., and Botkin, D.B., 2015, Carbon exchange between the atmosphere and subtropical forested cypress and pine wetlands: Biogeosciences, v. 12, p. 2285-2300, https://doi.org/10.5194/bg-12-2285-2015.","productDescription":"16 p.","startPage":"2285","endPage":"2300","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056860","costCenters":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"links":[{"id":472145,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-12-2285-2015","text":"Publisher Index Page"},{"id":300112,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Big Cypress National Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.34140014648438,\n 26.254009699865737\n ],\n [\n -80.87860107421875,\n 26.261399213411483\n ],\n [\n -80.87310791015625,\n 25.97903348794783\n ],\n [\n -80.8319091796875,\n 25.980268007469803\n ],\n [\n -80.8319091796875,\n 25.94075695601904\n ],\n [\n -80.84152221679688,\n 25.855516152996614\n ],\n [\n -80.85662841796875,\n 25.796181921604585\n ],\n [\n -80.826416015625,\n 25.760319754713887\n ],\n [\n -80.85113525390625,\n 25.75784610230624\n ],\n [\n -80.8538818359375,\n 25.61428620774471\n ],\n [\n -81.05438232421874,\n 25.611809521055477\n ],\n [\n -81.05712890625,\n 25.64647846279615\n ],\n [\n -81.07086181640625,\n 25.64895443060557\n ],\n [\n -81.06948852539062,\n 25.662571335129318\n ],\n [\n -81.0845947265625,\n 25.666284766565173\n ],\n [\n -81.08734130859375,\n 25.679899692285908\n ],\n [\n -81.10107421874999,\n 25.681137335685307\n ],\n [\n -81.10519409179688,\n 25.71331155053841\n ],\n [\n -81.1175537109375,\n 25.70959958489245\n ],\n [\n -81.123046875,\n 25.723209559418265\n ],\n [\n -81.16561889648438,\n 25.726921100398066\n ],\n [\n -81.17111206054686,\n 25.756609256777935\n ],\n [\n -81.19033813476562,\n 25.756609256777935\n ],\n [\n -81.18621826171875,\n 25.770213848960275\n ],\n [\n -81.20132446289062,\n 25.770213848960275\n ],\n [\n -81.199951171875,\n 25.78505344378837\n ],\n [\n -81.2164306640625,\n 25.78505344378837\n ],\n [\n -81.21505737304688,\n 25.79741835466296\n ],\n [\n -81.26312255859375,\n 25.80112757645447\n ],\n [\n -81.265869140625,\n 25.856751966503136\n ],\n [\n -81.35787963867188,\n 25.861695091343652\n ],\n [\n -81.3592529296875,\n 25.83203324251533\n ],\n [\n -81.38946533203124,\n 25.849336891707605\n ],\n [\n -81.36199951171875,\n 25.92470180327682\n ],\n [\n -81.3592529296875,\n 25.951870779973\n ],\n [\n -81.34963989257812,\n 25.988909281163984\n ],\n [\n -81.34140014648438,\n 26.254009699865737\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-16","publicationStatus":"PW","scienceBaseUri":"5549e9b2e4b064e4207ca42e","contributors":{"authors":[{"text":"Shoemaker, W. Barclay bshoemak@usgs.gov","contributorId":1495,"corporation":false,"usgs":true,"family":"Shoemaker","given":"W. Barclay","email":"bshoemak@usgs.gov","affiliations":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true},{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":546211,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Frank E. 0000-0002-1418-4678 fanders@usgs.gov","orcid":"https://orcid.org/0000-0002-1418-4678","contributorId":2605,"corporation":false,"usgs":true,"family":"Anderson","given":"Frank","email":"fanders@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":546212,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barr, Jordan G.","contributorId":85809,"corporation":false,"usgs":false,"family":"Barr","given":"Jordan","email":"","middleInitial":"G.","affiliations":[{"id":13531,"text":"South Florida Natural Resource Center, Everglades National Park","active":true,"usgs":false}],"preferred":false,"id":546213,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Graham, Scott L.","contributorId":140576,"corporation":false,"usgs":false,"family":"Graham","given":"Scott","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":546214,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Botkin, Daniel B.","contributorId":90917,"corporation":false,"usgs":false,"family":"Botkin","given":"Daniel","email":"","middleInitial":"B.","affiliations":[{"id":13532,"text":"Department of Biology, University of Miami","active":true,"usgs":false}],"preferred":false,"id":546215,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70188060,"text":"70188060 - 2015 - Ten ways remote sensing can contribute to conservation","interactions":[],"lastModifiedDate":"2024-06-17T16:30:10.62787","indexId":"70188060","displayToPublicDate":"2015-04-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Ten ways remote sensing can contribute to conservation","docAbstract":"

In an effort to increase conservation effectiveness through the use of Earth observation technologies, a group of remote sensing scientists affiliated with government and academic institutions and conservation organizations identified 10 questions in conservation for which the potential to be answered would be greatly increased by use of remotely sensed data and analyses of those data. Our goals were to increase conservation practitioners’ use of remote sensing to support their work, increase collaboration between the conservation science and remote sensing communities, identify and develop new and innovative uses of remote sensing for advancing conservation science, provide guidance to space agencies on how future satellite missions can support conservation science, and generate support from the public and private sector in the use of remote sensing data to address the 10 conservation questions. We identified a broad initial list of questions on the basis of an email chain-referral survey. We then used a workshop-based iterative and collaborative approach to whittle the list down to these final questions (which represent 10 major themes in conservation): How can global Earth observation data be used to model species distributions and abundances? How can remote sensing improve the understanding of animal movements? How can remotely sensed ecosystem variables be used to understand, monitor, and predict ecosystem response and resilience to multiple stressors? How can remote sensing be used to monitor the effects of climate on ecosystems? How can near real-time ecosystem monitoring catalyze threat reduction, governance and regulation compliance, and resource management decisions? How can remote sensing inform configuration of protected area networks at spatial extents relevant to populations of target species and ecosystem services? How can remote sensing-derived products be used to value and monitor changes in ecosystem services? How can remote sensing be used to monitor and evaluate the effectiveness of conservation efforts? How does the expansion and intensification of agriculture and aquaculture alter ecosystems and the services they provide? How can remote sensing be used to determine the degree to which ecosystems are being disturbed or degraded and the effects of these changes on species and ecosystem functions?

","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/cobi.12397","usgsCitation":"Rose, R., Byler, D., Eastman, J.R., Fleishman, E., Geller, G., Goetz, S., Guild, L., Hamilton, H., Hansen, M., Headley, R., Hewson, J., Horning, N., Kaplin, B.A., Laporte, N., Leidner, A., Leimgruber, P., Morisette, J.T., Musinsky, J., Pintea, L., Prados, A., Radeloff, V., Rowen, M., Saatchi, S., Schill, S., Tabor, K., Turner, W., Vodacek, A., Vogelmann, J., Wegmann, M., Wilkie, D., and Wilson, C., 2015, Ten ways remote sensing can contribute to conservation: Conservation Biology, v. 29, no. 2, p. 350-359, https://doi.org/10.1111/cobi.12397.","productDescription":"10 p.","startPage":"350","endPage":"359","ipdsId":"IP-055934","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":341863,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"29","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2014-10-15","publicationStatus":"PW","scienceBaseUri":"592e84bfe4b092b266f10d60","contributors":{"authors":[{"text":"Rose, Robert A.","contributorId":192397,"corporation":false,"usgs":false,"family":"Rose","given":"Robert A.","affiliations":[],"preferred":false,"id":696436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Byler, Dirck","contributorId":192398,"corporation":false,"usgs":false,"family":"Byler","given":"Dirck","email":"","affiliations":[],"preferred":false,"id":696437,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eastman, J. Ron","contributorId":192399,"corporation":false,"usgs":false,"family":"Eastman","given":"J.","email":"","middleInitial":"Ron","affiliations":[],"preferred":false,"id":696438,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fleishman, Erica","contributorId":11863,"corporation":false,"usgs":true,"family":"Fleishman","given":"Erica","affiliations":[],"preferred":false,"id":696439,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Geller, Gary","contributorId":81395,"corporation":false,"usgs":true,"family":"Geller","given":"Gary","affiliations":[],"preferred":false,"id":696440,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Goetz, Scott","contributorId":75259,"corporation":false,"usgs":true,"family":"Goetz","given":"Scott","affiliations":[],"preferred":false,"id":696441,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Guild, Liane","contributorId":192400,"corporation":false,"usgs":false,"family":"Guild","given":"Liane","affiliations":[],"preferred":false,"id":696442,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hamilton, Healy","contributorId":192401,"corporation":false,"usgs":false,"family":"Hamilton","given":"Healy","email":"","affiliations":[],"preferred":false,"id":696443,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hansen, Matt","contributorId":61330,"corporation":false,"usgs":true,"family":"Hansen","given":"Matt","email":"","affiliations":[],"preferred":false,"id":696444,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Headley, Rachel rheadley@usgs.gov","contributorId":1744,"corporation":false,"usgs":true,"family":"Headley","given":"Rachel","email":"rheadley@usgs.gov","affiliations":[],"preferred":true,"id":696445,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hewson, Jennifer","contributorId":192402,"corporation":false,"usgs":false,"family":"Hewson","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":696446,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Horning, Ned","contributorId":192403,"corporation":false,"usgs":false,"family":"Horning","given":"Ned","email":"","affiliations":[],"preferred":false,"id":696447,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kaplin, Beth A.","contributorId":192404,"corporation":false,"usgs":false,"family":"Kaplin","given":"Beth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":696448,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Laporte, Nadine","contributorId":192405,"corporation":false,"usgs":false,"family":"Laporte","given":"Nadine","email":"","affiliations":[],"preferred":false,"id":696449,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Leidner, Allison K.","contributorId":92909,"corporation":false,"usgs":true,"family":"Leidner","given":"Allison K.","affiliations":[],"preferred":false,"id":696450,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Leimgruber, Peter","contributorId":192406,"corporation":false,"usgs":false,"family":"Leimgruber","given":"Peter","email":"","affiliations":[],"preferred":false,"id":696451,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Morisette, Jeffrey T. 0000-0002-0483-0082 morisettej@usgs.gov","orcid":"https://orcid.org/0000-0002-0483-0082","contributorId":307,"corporation":false,"usgs":true,"family":"Morisette","given":"Jeffrey","email":"morisettej@usgs.gov","middleInitial":"T.","affiliations":[{"id":477,"text":"North Central Climate Science Center","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":696452,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Musinsky, John","contributorId":192407,"corporation":false,"usgs":false,"family":"Musinsky","given":"John","email":"","affiliations":[],"preferred":false,"id":696453,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Pintea, Lilian","contributorId":192408,"corporation":false,"usgs":false,"family":"Pintea","given":"Lilian","email":"","affiliations":[],"preferred":false,"id":696454,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Prados, Ana","contributorId":192409,"corporation":false,"usgs":false,"family":"Prados","given":"Ana","email":"","affiliations":[],"preferred":false,"id":696455,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Radeloff, Volker C.","contributorId":76169,"corporation":false,"usgs":true,"family":"Radeloff","given":"Volker C.","affiliations":[],"preferred":false,"id":696456,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Rowen, Mary","contributorId":192410,"corporation":false,"usgs":false,"family":"Rowen","given":"Mary","email":"","affiliations":[],"preferred":false,"id":696457,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Saatchi, Sassan","contributorId":192411,"corporation":false,"usgs":false,"family":"Saatchi","given":"Sassan","email":"","affiliations":[],"preferred":false,"id":696458,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Schill, Steve","contributorId":26184,"corporation":false,"usgs":true,"family":"Schill","given":"Steve","email":"","affiliations":[],"preferred":false,"id":696459,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Tabor, Karyn","contributorId":192412,"corporation":false,"usgs":false,"family":"Tabor","given":"Karyn","email":"","affiliations":[],"preferred":false,"id":696460,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Turner, Woody","contributorId":149221,"corporation":false,"usgs":false,"family":"Turner","given":"Woody","email":"","affiliations":[{"id":17679,"text":"Earth Science Division, NASA Headquarters, Washington D.C.","active":true,"usgs":false}],"preferred":false,"id":696461,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Vodacek, Anthony","contributorId":192413,"corporation":false,"usgs":false,"family":"Vodacek","given":"Anthony","email":"","affiliations":[],"preferred":false,"id":696462,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Vogelmann, James 0000-0002-0804-5823 vogel@usgs.gov","orcid":"https://orcid.org/0000-0002-0804-5823","contributorId":192352,"corporation":false,"usgs":true,"family":"Vogelmann","given":"James","email":"vogel@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"preferred":true,"id":696463,"contributorType":{"id":1,"text":"Authors"},"rank":28},{"text":"Wegmann, Martin","contributorId":177540,"corporation":false,"usgs":false,"family":"Wegmann","given":"Martin","email":"","affiliations":[],"preferred":false,"id":696464,"contributorType":{"id":1,"text":"Authors"},"rank":29},{"text":"Wilkie, David","contributorId":192414,"corporation":false,"usgs":false,"family":"Wilkie","given":"David","email":"","affiliations":[],"preferred":false,"id":696465,"contributorType":{"id":1,"text":"Authors"},"rank":30},{"text":"Wilson, Cara","contributorId":192415,"corporation":false,"usgs":false,"family":"Wilson","given":"Cara","email":"","affiliations":[],"preferred":false,"id":696466,"contributorType":{"id":1,"text":"Authors"},"rank":31}]}} ,{"id":70173441,"text":"70173441 - 2015 - Is there a single best estimator? selection of home range estimators using area- under- the-curve","interactions":[],"lastModifiedDate":"2016-06-14T15:56:43","indexId":"70173441","displayToPublicDate":"2015-04-16T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2792,"text":"Movement Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Is there a single best estimator? selection of home range estimators using area- under- the-curve","docAbstract":"
\n

Background

\n

Global positioning system (GPS) technology for monitoring home range and movements of wildlife has resulted in prohibitively large sample sizes of locations for traditional estimators of home range. We used area-under-the-curve to explore the fit of 8 estimators of home range to data collected with both GPS and concurrent very high frequency (VHF) technology on a terrestrial mammal, the Florida panther Puma concolor coryi, to evaluate recently developed and traditional estimators.

\n
\n
\n

Results

\n

Area-under-the-curve was the highest for Florida panthers equipped with Global Positioning System (GPS) technology compared to VHF technology. For our study animal, estimators of home range that incorporated a temporal component to estimation performed better than traditional first- and second-generation estimators.

\n
\n
\n

Conclusions

\n

Comparisons of fit of home range contours with locations collected would suggest that use of VHF technology is not as accurate as GPS technology to estimate size of home range for large mammals. Estimators of home range collected with GPS technology performed better than those estimated with VHF technology regardless of estimator used. Furthermore, estimators that incorporate a temporal component (third-generation estimators) appeared to be the most reliable regardless of whether kernel-based or Brownian bridge-based algorithms were used and in comparison to first- and second-generation estimators. We defined third-generation estimators of home range as any estimator that incorporates time, space, animal-specific parameters, and habitat. Such estimators would include movement-based kernel density, Brownian bridge movement models, and dynamic Brownian bridge movement models among others that have yet to be evaluated.

\n
","language":"English","publisher":"BioMed Central Ltd","doi":"10.1186/s40462-015-0039-4","usgsCitation":"Walter, W.D., Onorato, D.P., and Fischer, J.W., 2015, Is there a single best estimator? selection of home range estimators using area- under- the-curve: Movement Ecology, v. 3, no. 10, 11 p., https://doi.org/10.1186/s40462-015-0039-4.","productDescription":"11 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058810","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":472144,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40462-015-0039-4","text":"Publisher Index Page"},{"id":323612,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.705322265625,\n 26.175158990178133\n ],\n [\n -81.177978515625,\n 25.760319754713887\n ],\n [\n -80.892333984375,\n 25.37380917154398\n ],\n [\n -80.606689453125,\n 25.423431426334247\n ],\n [\n -80.419921875,\n 25.96792222903405\n ],\n [\n -80.452880859375,\n 26.194876675795218\n ],\n [\n -80.595703125,\n 26.42138972529502\n ],\n [\n -81.6064453125,\n 26.519735305660795\n ],\n [\n -81.63940429687499,\n 26.480407161007275\n ],\n [\n -81.705322265625,\n 26.175158990178133\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"3","issue":"10","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-16","publicationStatus":"PW","scienceBaseUri":"57612ab2e4b04f417c2ce4b5","contributors":{"authors":[{"text":"Walter, W. David 0000-0003-3068-1073 wwalter@usgs.gov","orcid":"https://orcid.org/0000-0003-3068-1073","contributorId":5083,"corporation":false,"usgs":true,"family":"Walter","given":"W.","email":"wwalter@usgs.gov","middleInitial":"David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Onorato, Dave P.","contributorId":171827,"corporation":false,"usgs":false,"family":"Onorato","given":"Dave","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":638809,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fischer, Justin W.","contributorId":171828,"corporation":false,"usgs":false,"family":"Fischer","given":"Justin","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":638810,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70170027,"text":"70170027 - 2015 - The effect of research activities and winter precipitation on voiding behaviour of Agassiz’s desert tortoises (Gopherus agassizii)","interactions":[],"lastModifiedDate":"2016-04-01T14:27:00","indexId":"70170027","displayToPublicDate":"2015-04-15T15:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3777,"text":"Wildlife Research","active":true,"publicationSubtype":{"id":10}},"title":"The effect of research activities and winter precipitation on voiding behaviour of Agassiz’s desert tortoises (Gopherus agassizii)","docAbstract":"

Context: There is little information available on how research activities might cause stress responses in wildlife, especially responses of threatened species such as the desert tortoise (Gopherus agassizii).

\n

Aims: The present study aims to detect behavioural effects of researcher handling and winter precipitation on a natural population of desert tortoises in the desert of Southwestern United States, over the period 1997 to 2014, through extensive assessments of capture events during multiple research studies, and capture–mark–recapture survivorship analysis.

\n

Methods: Juvenile and adult desert tortoises were repeatedly handled with consistent methodology across 18 years during 10 study seasons. Using a generalised linear mixed-effects model, we assessed the effects of both research manipulation and abiotic conditions on probability of voiding. Additionally, we used a Cormack–Jolly–Seber model to assess the effects of winter precipitation and voiding on long-term apparent survivorship.

\n

Key results: Of 1008 total capture events, voiding was recorded on 83 (8.2%) occasions in 42 different individuals. Our top models indicated that increases in handling time led to significantly higher probabilities of voiding for juveniles, females and males. Similarly, increases in precipitation resulted in significantly higher probabilities of voiding for juveniles and females, but not for males. Tortoise capture frequency was negatively correlated with voiding occurrence. Cormack–Jolly–Seber models demonstrated a weak effect of winter precipitation on survivorship, but a negligible effect for both voiding behaviour and sex.

\n

Conclusions: Handling-induced voiding by desert tortoises may occur during common research activities and years of above average winter precipitation. Increased likelihood of voiding in individuals with relatively low numbers of recaptures suggested that tortoises may have perceived researchers initially as predators, and therefore voided as a defensive strategy. Voiding does not appear to impact long-term survivorship in desert tortoises at this site.

\n

Implications: This study has demonstrated that common handling practices on desert tortoise may cause voiding behaviour. These results suggest that in order to minimise undesirable behavioural responses in studied desert tortoise populations, defined procedures or protocols must be followed by the investigators to reduce contact period to the extent feasible.

","language":"English","publisher":"CSIRO Publishing","publisherLocation":"East Melbourne, Australia","doi":"10.1071/WR14196","usgsCitation":"Agha, M., Murphy, M.O., Lovich, J.E., Ennen, J.R., Oldham, C.R., Meyer-Wilkins, K., Bjurlin, C., Austin, M., Madrak, S.V., Loughran, C.L., Tennant, L.A., and Price, S.J., 2015, The effect of research activities and winter precipitation on voiding behaviour of Agassiz’s desert tortoises (Gopherus agassizii): Wildlife Research, v. 41, no. 8, p. 641-649, https://doi.org/10.1071/WR14196.","productDescription":"9 p.","startPage":"641","endPage":"649","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053514","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":319735,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"41","issue":"8","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56ff9c3be4b0328dcb7eab59","contributors":{"authors":[{"text":"Agha, Mickey","contributorId":22235,"corporation":false,"usgs":false,"family":"Agha","given":"Mickey","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false},{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":625903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Mason O.","contributorId":139509,"corporation":false,"usgs":false,"family":"Murphy","given":"Mason","email":"","middleInitial":"O.","affiliations":[{"id":12782,"text":"Department of Biology, University of Kentucky, Lexington, KY 40546, USA. mason.murphy@uky.edu","active":true,"usgs":false}],"preferred":false,"id":625904,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lovich, Jeffrey E. 0000-0002-7789-2831 jeffrey_lovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7789-2831","contributorId":458,"corporation":false,"usgs":true,"family":"Lovich","given":"Jeffrey","email":"jeffrey_lovich@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":625902,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ennen, Joshua R.","contributorId":83858,"corporation":false,"usgs":true,"family":"Ennen","given":"Joshua","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":625906,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oldham, Christian R.","contributorId":168430,"corporation":false,"usgs":false,"family":"Oldham","given":"Christian","email":"","middleInitial":"R.","affiliations":[{"id":25289,"text":"Department of Forestry, University of Kentucky, Lexington, KY 40546, USA","active":true,"usgs":false}],"preferred":false,"id":625907,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Meyer-Wilkins, Kathie","contributorId":8742,"corporation":false,"usgs":false,"family":"Meyer-Wilkins","given":"Kathie","affiliations":[],"preferred":false,"id":625905,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bjurlin, Curtis","contributorId":90183,"corporation":false,"usgs":false,"family":"Bjurlin","given":"Curtis","affiliations":[],"preferred":false,"id":625909,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Austin, Meaghan","contributorId":37244,"corporation":false,"usgs":true,"family":"Austin","given":"Meaghan","affiliations":[],"preferred":false,"id":625910,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Madrak, Sheila V.","contributorId":7403,"corporation":false,"usgs":true,"family":"Madrak","given":"Sheila","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":625911,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Loughran, Caleb L.","contributorId":26599,"corporation":false,"usgs":true,"family":"Loughran","given":"Caleb","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":625912,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Tennant, Laura A. 0000-0003-0062-7287 ltennant@usgs.gov","orcid":"https://orcid.org/0000-0003-0062-7287","contributorId":5984,"corporation":false,"usgs":true,"family":"Tennant","given":"Laura","email":"ltennant@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":625913,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Price, Steven J. 0000-0002-2388-0579","orcid":"https://orcid.org/0000-0002-2388-0579","contributorId":57738,"corporation":false,"usgs":false,"family":"Price","given":"Steven","email":"","middleInitial":"J.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":625908,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70146289,"text":"70146289 - 2015 - Forecasting sagebrush ecosystem components and greater sage-grouse habitat for 2050: learning from past climate patterns and Landsat imagery to predict the future","interactions":[],"lastModifiedDate":"2017-12-27T15:00:39","indexId":"70146289","displayToPublicDate":"2015-04-15T15:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Forecasting sagebrush ecosystem components and greater sage-grouse habitat for 2050: learning from past climate patterns and Landsat imagery to predict the future","docAbstract":"

Sagebrush (Artemisia spp.) ecosystems constitute the largest single North American shrub ecosystem and provide vital ecological, hydrological, biological, agricultural, and recreational ecosystem services. Disturbances have altered and reduced this ecosystem historically, but climate change may ultimately represent the greatest future risk. Improved ways to quantify, monitor, and predict climate-driven gradual change in this ecosystem is vital to its future management. We examined the annual change of Daymet precipitation (daily gridded climate data) and five remote sensing ecosystem sagebrush vegetation and soil components (bare ground, herbaceous, litter, sagebrush, and shrub) from 1984 to 2011 in southwestern Wyoming. Bare ground displayed an increasing trend in abundance over time, and herbaceous, litter, shrub, and sagebrush showed a decreasing trend. Total precipitation amounts show a downward trend during the same period. We established statistically significant correlations between each sagebrush component and historical precipitation records using a simple least squares linear regression. Using the historical relationship between sagebrush component abundance and precipitation in a linear model, we forecasted the abundance of the sagebrush components in 2050 using Intergovernmental Panel on Climate Change (IPCC) precipitation scenarios A1B and A2. Bare ground was the only component that increased under both future scenarios, with a net increase of 48.98 km2 (1.1%) across the study area under the A1B scenario and 41.15 km2 (0.9%) under the A2 scenario. The remaining components decreased under both future scenarios: litter had the highest net reductions with 49.82 km2 (4.1%) under A1B and 50.8 km2 (4.2%) under A2, and herbaceous had the smallest net reductions with 39.95 km2 (3.8%) under A1B and 40.59 km2 (3.3%) under A2. We applied the 2050 forecast sagebrush component values to contemporary (circa 2006) greater sage-grouse (Centrocercus urophasianus) habitat models to evaluate the effects of potential climate-induced habitat change. Under the 2050 IPCC A1B scenario, 11.6% of currently identified nesting habitat was lost, and 0.002% of new potential habitat was gained, with 4% of summer habitat lost and 0.039% gained. Our results demonstrate the successful ability of remote sensing based sagebrush components, when coupled with precipitation, to forecast future component response using IPCC precipitation scenarios. Our approach also enables future quantification of greater sage-grouse habitat under different precipitation scenarios, and provides additional capability to identify regional precipitation influence on sagebrush component response.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2015.03.002","usgsCitation":"Homer, C.G., Xian, G.Z., Aldridge, C.L., Meyer, D.K., Loveland, T.R., and O’Donnell, M.S., 2015, Forecasting sagebrush ecosystem components and greater sage-grouse habitat for 2050: learning from past climate patterns and Landsat imagery to predict the future: Ecological Indicators, v. 55, p. 131-145, https://doi.org/10.1016/j.ecolind.2015.03.002.","productDescription":"15 p.","startPage":"131","endPage":"145","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061116","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":472146,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2015.03.002","text":"Publisher Index Page"},{"id":299699,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.96240234375,\n 41.48080459927738\n ],\n [\n -110.00473022460938,\n 41.6770148220322\n ],\n [\n -109.69573974609375,\n 42.56926437219384\n ],\n [\n -108.65341186523436,\n 42.37883631647602\n ],\n [\n -108.96240234375,\n 41.48080459927738\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"55","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"552f7d9ae4b0b22a158031c7","contributors":{"authors":[{"text":"Homer, Collin G. 0000-0003-4755-8135 homer@usgs.gov","orcid":"https://orcid.org/0000-0003-4755-8135","contributorId":2262,"corporation":false,"usgs":true,"family":"Homer","given":"Collin","email":"homer@usgs.gov","middleInitial":"G.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":544946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xian, George Z. 0000-0001-5674-2204 xian@usgs.gov","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":2263,"corporation":false,"usgs":true,"family":"Xian","given":"George","email":"xian@usgs.gov","middleInitial":"Z.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":544947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":544948,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meyer, Debra K. 0000-0002-8841-697X dkmeyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8841-697X","contributorId":3145,"corporation":false,"usgs":true,"family":"Meyer","given":"Debra","email":"dkmeyer@usgs.gov","middleInitial":"K.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":544950,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loveland, Thomas R. 0000-0003-3114-6646 loveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3114-6646","contributorId":140256,"corporation":false,"usgs":true,"family":"Loveland","given":"Thomas","email":"loveland@usgs.gov","middleInitial":"R.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":544949,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’Donnell, Michael S. 0000-0002-3488-003X odonnellm@usgs.gov","orcid":"https://orcid.org/0000-0002-3488-003X","contributorId":3351,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Michael","email":"odonnellm@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":544951,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70159193,"text":"70159193 - 2015 - The modelling and assessment of whale-watching impacts","interactions":[],"lastModifiedDate":"2015-10-19T10:35:15","indexId":"70159193","displayToPublicDate":"2015-04-15T14:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2926,"text":"Ocean and Coastal Management","active":true,"publicationSubtype":{"id":10}},"title":"The modelling and assessment of whale-watching impacts","docAbstract":"

In recent years there has been significant interest in modelling cumulative effects and the population consequences of individual changes in cetacean behaviour and physiology due to disturbance. One potential source of disturbance that has garnered particular interest is whale-watching. Though perceived as ‘green’ or eco-friendly tourism, there is evidence that whale-watching can result in statistically significant and biologically meaningful changes in cetacean behaviour, raising the question whether whale-watching is in fact a long term sustainable activity. However, an assessment of the impacts of whale-watching on cetaceans requires an understanding of the potential behavioural and physiological effects, data to effectively address the question and suitable modelling techniques. Here, we review the current state of knowledge on the viability of long-term whale-watching, as well as logistical limitations and potential opportunities. We conclude that an integrated, coordinated approach will be needed to further understanding of the possible effects of whale-watching on cetaceans.

","language":"English","publisher":"Elsevier Applied Science","publisherLocation":"Barking, Essex, England","doi":"10.1016/j.ocecoaman.2015.04.006","usgsCitation":"New, L., Hall, A.J., Harcourt, R., Kaufman, G., Parsons, E., Pearson, H.C., Cosentino, A.M., and Schick, R.S., 2015, The modelling and assessment of whale-watching impacts: Ocean and Coastal Management, v. 115, p. 10-16, https://doi.org/10.1016/j.ocecoaman.2015.04.006.","productDescription":"7 p.","startPage":"10","endPage":"16","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-064920","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":472147,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ocecoaman.2015.04.006","text":"Publisher Index Page"},{"id":310036,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"115","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56261497e4b0fb9a11dd765d","contributors":{"authors":[{"text":"New, Leslie lnew@usgs.gov","contributorId":145484,"corporation":false,"usgs":true,"family":"New","given":"Leslie","email":"lnew@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":577800,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hall, Ailsa J.","contributorId":40915,"corporation":false,"usgs":true,"family":"Hall","given":"Ailsa","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":577801,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harcourt, Robert","contributorId":149302,"corporation":false,"usgs":false,"family":"Harcourt","given":"Robert","affiliations":[],"preferred":false,"id":577815,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kaufman, Greg","contributorId":149303,"corporation":false,"usgs":false,"family":"Kaufman","given":"Greg","email":"","affiliations":[],"preferred":false,"id":577816,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parsons, E.C.M.","contributorId":149304,"corporation":false,"usgs":false,"family":"Parsons","given":"E.C.M.","email":"","affiliations":[{"id":12909,"text":"George Mason University","active":true,"usgs":false}],"preferred":false,"id":577817,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pearson, Heidi C.","contributorId":149305,"corporation":false,"usgs":false,"family":"Pearson","given":"Heidi","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":577818,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cosentino, A. Mel","contributorId":149306,"corporation":false,"usgs":false,"family":"Cosentino","given":"A.","email":"","middleInitial":"Mel","affiliations":[],"preferred":false,"id":577819,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schick, Robert S","contributorId":149294,"corporation":false,"usgs":false,"family":"Schick","given":"Robert","email":"","middleInitial":"S","affiliations":[{"id":12470,"text":"University of St. Andrews","active":true,"usgs":false}],"preferred":false,"id":577802,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70154768,"text":"70154768 - 2015 - A sea lamprey (Petromyzon marinus) sex pheromone mixture increases trap catch relative to a single synthesized component in specific environments","interactions":[],"lastModifiedDate":"2017-05-18T11:53:08","indexId":"70154768","displayToPublicDate":"2015-04-15T12:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2205,"text":"Journal of Chemical Ecology","active":true,"publicationSubtype":{"id":10}},"title":"A sea lamprey (Petromyzon marinus) sex pheromone mixture increases trap catch relative to a single synthesized component in specific environments","docAbstract":"

Spermiating male sea lamprey (Petromyzon marinus) release a sex pheromone, of which a component, 7α, 12α, 24-trihydoxy-3-one-5α-cholan-24-sulfate (3kPZS), has been identified and shown to induce long distance preference responses in ovulated females. However, other pheromone components exist, and when 3kPZS alone was used to control invasive sea lamprey populations in the Laurentian Great Lakes, trap catch increase was significant, but gains were generally marginal. We hypothesized that free-ranging sea lamprey populations discriminate between a partial and complete pheromone while migrating to spawning grounds and searching for mates at spawning grounds. As a means to test our hypothesis, and to test two possible uses of sex pheromones for sea lamprey control, we asked whether the full sex pheromone mixture released by males (spermiating male washings; SMW) is more effective than 3kPZS in capturing animals in traditional traps (1) en route to spawning grounds and (2) at spawning grounds. At locations where traps target sea lampreys en route to spawning grounds, SMW-baited traps captured significantly more sea lampreys than paired 3kPZS-baited traps (~10 % increase). At spawning grounds, no difference in trap catch was observed between 3kPZS and SMW-baited traps. The lack of an observed difference at spawning grounds may be attributed to increased pheromone competition and possible involvement of other sensory modalities to locate mates. Because fishes often rely on multiple and sometimes redundant sensory modalities for critical life history events, the addition of sex pheromones to traditionally used traps is not likely to work in all circumstances. In the case of the sea lamprey, sex pheromone application may increase catch when applied to specifically designed traps deployed in streams with low adult density and limited spawning habitat.

","language":"English","publisher":"Springer","doi":"10.1007/s10886-015-0561-2","usgsCitation":"Johnson, N.S., Tix, J., Hlina, B.L., Wagner, C.M., Siefkes, M.J., Wang, H., and Li, W., 2015, A sea lamprey (Petromyzon marinus) sex pheromone mixture increases trap catch relative to a single synthesized component in specific environments: Journal of Chemical Ecology, v. 41, no. 3, p. 311-321, https://doi.org/10.1007/s10886-015-0561-2.","productDescription":"11 p.","startPage":"311","endPage":"321","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060452","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":305538,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-03-22","publicationStatus":"PW","scienceBaseUri":"55950f2be4b0b6d21dd6cbd2","contributors":{"authors":[{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":564048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tix, John A.","contributorId":126766,"corporation":false,"usgs":false,"family":"Tix","given":"John A.","affiliations":[{"id":6602,"text":"Great Lakes Science Center, Hammond Bay Biological Station","active":true,"usgs":false}],"preferred":false,"id":564049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hlina, Benjamin L.","contributorId":145441,"corporation":false,"usgs":false,"family":"Hlina","given":"Benjamin","email":"","middleInitial":"L.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":564050,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wagner, C. Michael","contributorId":145442,"corporation":false,"usgs":false,"family":"Wagner","given":"C.","email":"","middleInitial":"Michael","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":564051,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Siefkes, Michael J.","contributorId":36905,"corporation":false,"usgs":true,"family":"Siefkes","given":"Michael","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":564052,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wang, Huiyong","contributorId":79007,"corporation":false,"usgs":true,"family":"Wang","given":"Huiyong","affiliations":[],"preferred":false,"id":564053,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Li, Weiming","contributorId":65440,"corporation":false,"usgs":true,"family":"Li","given":"Weiming","affiliations":[],"preferred":false,"id":564054,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70142771,"text":"ds927 - 2015 - Surface geophysics and porewater evaluation at the Lower Darby Creek Area Superfund Site, Philadelphia, Pennsylvania, 2013","interactions":[],"lastModifiedDate":"2015-04-20T14:48:51","indexId":"ds927","displayToPublicDate":"2015-04-15T09:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"927","title":"Surface geophysics and porewater evaluation at the Lower Darby Creek Area Superfund Site, Philadelphia, Pennsylvania, 2013","docAbstract":"

In cooperation with the U.S. Environmental Protection Agency (EPA), Region 3, the U.S. Geological Survey (USGS) is participating in an ongoing study to aid in the identification of subsurface heterogeneities that may act as preferential pathways for contaminant transport in and around the Lower Darby Creek Area (LDCA) Superfund Site, Philadelphia Pa. Lower Darby Creek, which flows into the Delaware River, borders the western part of the former landfill site. In 2013, the USGS conducted surface geophysics measurements and stream porewater sampling to provide additional data for EPA’s site characterization. This report contains data collected from field measurements of direct current (DC) resistivity, frequency-domain electromagnetic (FDEM) surveys, and stream porewater specific conductance (SC).

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds927","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Walker, C.W., Degnan, J.R., Brayton, M.J., Cruz, R., and Lorah, M.M., 2015, Surface geophysics and porewater evaluation at the Lower Darby Creek Area Superfund Site, Philadelphia, Pennsylvania, 2013: U.S. Geological Survey Data Series 927, Report: iv, 6 p.; Appendixes 1-3, https://doi.org/10.3133/ds927.","productDescription":"Report: iv, 6 p.; Appendixes 1-3","numberOfPages":"14","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2013-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-064184","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":299684,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0927/pdf/ds927.pdf","text":"Report","size":"2.14 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Data"},{"id":299688,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds927.jpg"}],"projection":"Lambert Conformal Conic Projection","datum":"NAD 1983 Pennsylvania State Plane (South)","country":"United States","state":"Pennsylvania","city":"Philadelphia","otherGeospatial":"Lower Darby Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.25310754776001,\n 39.897687011984054\n ],\n [\n -75.25334358215332,\n 39.89717668393247\n ],\n [\n -75.25563955307007,\n 39.89730838185796\n ],\n [\n -75.25692701339722,\n 39.895826765604085\n ],\n [\n -75.25774240493774,\n 39.89604077881993\n ],\n [\n -75.2559185028076,\n 39.89847718985659\n ],\n [\n -75.25692701339722,\n 39.901078127664846\n ],\n [\n -75.25772094726562,\n 39.90214810506472\n ],\n [\n -75.25671243667603,\n 39.90451845702656\n ],\n [\n 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mbrayton@usgs.gov","contributorId":2993,"corporation":false,"usgs":true,"family":"Brayton","given":"Michael","email":"mbrayton@usgs.gov","middleInitial":"J.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":542133,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cruz, Roberto M. rmcruz@usgs.gov","contributorId":139630,"corporation":false,"usgs":true,"family":"Cruz","given":"Roberto M.","email":"rmcruz@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":false,"id":542134,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lorah, Michelle M. 0000-0002-9236-587X mmlorah@usgs.gov","orcid":"https://orcid.org/0000-0002-9236-587X","contributorId":1437,"corporation":false,"usgs":true,"family":"Lorah","given":"Michelle","email":"mmlorah@usgs.gov","middleInitial":"M.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":542135,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70190681,"text":"70190681 - 2015 - Sediment contributions from floodplains and legacy sediments to Piedmont streams of Baltimore County, Maryland","interactions":[],"lastModifiedDate":"2017-09-12T11:49:32","indexId":"70190681","displayToPublicDate":"2015-04-15T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Sediment contributions from floodplains and legacy sediments to Piedmont streams of Baltimore County, Maryland","docAbstract":"

Disparity between watershed erosion rates and downstream sediment delivery has remained an important theme in geomorphology for many decades, with the role of floodplains in sediment storage as a common focus. In the Piedmont Province of the eastern USA, upland deforestation and agricultural land use following European settlement led to accumulation of thick packages of overbank sediment in valley bottoms, commonly referred to as legacy deposits. Previous authors have argued that legacy deposits represent a potentially important source of modern sediment loads following remobilization by lateral migration and progressive channel widening. This paper seeks to quantify (1) rates of sediment remobilization from Baltimore County floodplains by channel migration and bank erosion, (2) proportions of streambank sediment derived from legacy deposits, and (3) potential contribution of net streambank erosion and legacy sediments to downstream sediment yield within the Mid-Atlantic Piedmont.

We calculated measurable gross erosion and deposition rates within the fluvial corridor along 40 valley segments from 18 watersheds with drainage areas between 0.18 and 155 km2 in Baltimore County, Maryland. We compared stream channel and floodplain morphology from lidar-based digital elevation data collected in 2005 with channel positions recorded on 1:2400 scale topographic maps from 1959–1961 in order to quantify 44–46 years of channel change. Sediment bulk density and particle size distributions were characterized from streambank and channel deposit samples and used for volume to mass conversions and for comparison with other sediment sources.

Average annual lateral migration rates ranged from 0.04 to 0.19 m/y, which represented an annual migration of 2.5% (0.9–4.4%) channel width across all study segments, suggesting that channel dimensions may be used as reasonable predictors of bank erosion rates. Gross bank erosion rates varied from 43 to 310 Mg/km/y (median = 114) and were positively correlated with drainage area. Measured deposition within channels accounted for an average of 46% (28–75%) of gross erosion, with deposition increasingly important in larger drainages. Legacy sediments accounted for 6–90% of bank erosion at individual study segments, represented about 60% of bank height at most exposures, and accounted for 57% (± 16%) of the measured gross erosion. Extrapolated results indicated that first- and second-order streams accounted for 62% (± 38%) of total streambank erosion from 1005 km2 of northern Baltimore County. After accounting for estimated redeposition, extrapolated net streambank sediment yields (72 Mg/km2/y) constituted 70% of estimated average Piedmont watershed yields (104 Mg/km2/y). The results suggest that streambank sediments are a relatively large source of sediment from Piedmont tributaries to the Chesapeake Bay.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2015.01.025","usgsCitation":"Donovan, M., Miller, A., Baker, M., and Gellis, A., 2015, Sediment contributions from floodplains and legacy sediments to Piedmont streams of Baltimore County, Maryland: Geomorphology, v. 235, p. 88-105, https://doi.org/10.1016/j.geomorph.2015.01.025.","productDescription":"18 p.","startPage":"88","endPage":"105","ipdsId":"IP-061474","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":345645,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","county":"Baltimore 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Center","active":false,"usgs":true}],"preferred":false,"id":710156,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70171346,"text":"70171346 - 2015 - Linking behavior, physiology, and survival of Atlantic Salmon smolts during estuary migration","interactions":[],"lastModifiedDate":"2017-01-11T16:06:51","indexId":"70171346","displayToPublicDate":"2015-04-15T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2680,"text":"Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"title":"Linking behavior, physiology, and survival of Atlantic Salmon smolts during estuary migration","docAbstract":"

Decreased marine survival is identified as a component driver of continued declines of Atlantic Salmon Salmo salar. However, estimates of marine mortality often incorporate loss incurred during estuary migration that may be mechanistically distinct from factors affecting marine mortality. We examined movements and survival of 941 smolts (141 wild and 800 hatchery-reared fish) released in freshwater during passage through the Penobscot River estuary, Maine, from 2005 to 2013. We related trends in estuary arrival date, movement rate, and survival to fish characteristics, migratory history, and environmental conditions in the estuary. Fish that experienced the warmest thermal history arrived in the estuary 8 d earlier than those experiencing the coolest thermal history during development. Estuary arrival date was 10 d later for fish experiencing high flow than for fish experiencing low flow. Fish released furthest upstream arrived in the estuary 3 d later than those stocked further downstream but moved 0.5 km/h faster through the estuary. Temporally, movement rate and survival in the estuary both peaked in mid-May. Spatially, movement rate and survival both decreased from freshwater to the ocean. Wild smolts arrived in the estuary later than hatchery fish, but we observed no change in movement rate or survival attributable to rearing history. Fish with the highest gill Na+, K+-ATPase activity incurred 25% lower mortality through the estuary than fish with the lowest gill Na+, K+-ATPase activity. Smolt survival decreased (by up to 40%) with the increasing number of dams passed (ranging from two to nine) during freshwater migration. These results underscore the importance of physiological preparedness on performance and the delayed, indirect effects of dams on survival of Atlantic Salmon smolts during estuary migration, ultimately affecting marine survival estimates.

","language":"English","publisher":"American Fisheries Society","doi":"10.1080/19425120.2015.1007185","usgsCitation":"Stich, D.S., Zydlewski, G.B., Kocik, J.F., and Zydlewski, J.D., 2015, Linking behavior, physiology, and survival of Atlantic Salmon smolts during estuary migration: Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, v. 7, no. 1, p. 68-86, https://doi.org/10.1080/19425120.2015.1007185.","productDescription":"18 p.","startPage":"68","endPage":"86","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060905","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":472148,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1080/19425120.2015.1007185","text":"External Repository"},{"id":321860,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-14","publicationStatus":"PW","scienceBaseUri":"574d65a6e4b07e28b66845fe","contributors":{"authors":[{"text":"Stich, Daniel S.","contributorId":139212,"corporation":false,"usgs":false,"family":"Stich","given":"Daniel","email":"","middleInitial":"S.","affiliations":[{"id":12606,"text":"University of Maine, Dept of Plant, Soil, & Envir Sciences","active":true,"usgs":false}],"preferred":false,"id":630816,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zydlewski, Gayle B.","contributorId":169688,"corporation":false,"usgs":false,"family":"Zydlewski","given":"Gayle","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":630817,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kocik, John F.","contributorId":103162,"corporation":false,"usgs":true,"family":"Kocik","given":"John","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":630818,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zydlewski, Joseph D. 0000-0002-2255-2303 jzydlewski@usgs.gov","orcid":"https://orcid.org/0000-0002-2255-2303","contributorId":2004,"corporation":false,"usgs":true,"family":"Zydlewski","given":"Joseph","email":"jzydlewski@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":630682,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70174113,"text":"70174113 - 2015 - Adaptive management of social-ecological systems: The path forward","interactions":[],"lastModifiedDate":"2021-04-09T17:55:14.654752","indexId":"70174113","displayToPublicDate":"2015-04-15T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Adaptive management of social-ecological systems: The path forward","docAbstract":"

Adaptive management remains at the forefront of environmental management nearly 40 years after its original conception, largely because we have yet to develop other methodologies that offer the same promise. Despite the criticisms of adaptive management and the numerous failed attempts to implement it, adaptive management has yet to be replaced with a better alternative. The concept persists because it is simple, allows action despite uncertainty, and fosters learning. Moving forward, adaptive management of social-ecological systems provides policymakers, managers and scientists a powerful tool for managing for resilience in the face of uncertainty.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Adaptive management of social-ecological systems","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer Netherlands","doi":"10.1007/978-94-017-9682-8_14","usgsCitation":"Garmestani, A.S., and Allen, C.R., 2015, Adaptive management of social-ecological systems: The path forward, chap. of Adaptive management of social-ecological systems, p. 255-262, https://doi.org/10.1007/978-94-017-9682-8_14.","productDescription":"8 p.","startPage":"255","endPage":"262","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064262","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":326085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-25","publicationStatus":"PW","scienceBaseUri":"57a315bae4b006cb45558a25","contributors":{"editors":[{"text":"Garmestani, Ahjond S.","contributorId":77285,"corporation":false,"usgs":true,"family":"Garmestani","given":"Ahjond","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":813812,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":813813,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Garmestani, Ahjond S.","contributorId":77285,"corporation":false,"usgs":true,"family":"Garmestani","given":"Ahjond","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":813811,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":640956,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70145793,"text":"ofr20151069 - 2015 - Physical habitat monitoring strategy (PHAMS) for reach-scale restoration effectiveness monitoring","interactions":[],"lastModifiedDate":"2015-05-06T12:29:35","indexId":"ofr20151069","displayToPublicDate":"2015-04-14T16:30:00","publicationYear":"2015","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":"2015-1069","title":"Physical habitat monitoring strategy (PHAMS) for reach-scale restoration effectiveness monitoring","docAbstract":"

Habitat restoration efforts by the Confederated Tribes of the Umatilla Indian Reservation (CTUIR) have shifted from the site scale (1-10 meters) to the reach scale (100-1,000 meters). This shift was in response to the growing scientific emphasis on process-based restoration and to support from the 2007 Accords Agreement with the Bonneville Power Administration. With the increased size of restoration projects, the CTUIR and other agencies are in need of applicable monitoring methods for assessing large-scale changes in river and floodplain habitats following restoration. The goal of the Physical Habitat Monitoring Strategy is to outline methods that are useful for capturing reach-scale changes in surface and groundwater hydrology, geomorphology, hydrologic connectivity, and riparian vegetation at restoration projects. The Physical Habitat Monitoring Strategy aims to avoid duplication with existing regional effectiveness monitoring protocols by identifying complimentary reach-scale metrics and methods that may improve the ability of CTUIR and others to detect instream and riparian changes at large restoration projects.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151069","collaboration":"Prepared in cooperation with the Confederated Tribes of the Umatilla Indian Reservation, Department of Natural Resources, and Northwest Marine Fisheries Service","usgsCitation":"Jones, K.L., O’Daniel, S.J., Beechie, T.J., Zakrajsek, John, and Webster, J.G., 2015, Physical habitat monitoring strategy (PHAMS) for reach-scale restoration effectiveness monitoring: U.S. Geological Survey Open-File Report 2015-1069, 58 p., https://dx.doi.org/10.3133/ofr20151069.","productDescription":"vi, 58 p.","numberOfPages":"68","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-055704","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":299682,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151069.jpg"},{"id":299681,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1069/pdf/ofr2015-1069.pdf","text":"Report","size":"5.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OF 2015-1069 Report"},{"id":299680,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1069/"}],"country":"United States","state":"Idaho, Oregon, Washington","otherGeospatial":"Umatilla Indian Reservation","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.44335937499999,\n 43.739352079154706\n ],\n [\n -119.44335937499999,\n 47.040182144806664\n ],\n [\n -116.54296874999999,\n 47.040182144806664\n ],\n [\n -116.54296874999999,\n 43.739352079154706\n ],\n [\n -119.44335937499999,\n 43.739352079154706\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Oregon Water Science Center
U.S. Geological Survey
2130 SW 5th Avenue
Portland, Oregon 97201
http://or.water.usgs.gov 

","tableOfContents":"","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2015-04-14","noUsgsAuthors":false,"publicationDate":"2015-04-14","publicationStatus":"PW","scienceBaseUri":"552e2c22e4b0b22a157f9f38","contributors":{"authors":[{"text":"Jones, Krista L. 0000-0002-0301-4497 kljones@usgs.gov","orcid":"https://orcid.org/0000-0002-0301-4497","contributorId":4550,"corporation":false,"usgs":true,"family":"Jones","given":"Krista","email":"kljones@usgs.gov","middleInitial":"L.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":544962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Daniel, Scott J.","contributorId":140123,"corporation":false,"usgs":false,"family":"O’Daniel","given":"Scott","email":"","middleInitial":"J.","affiliations":[{"id":13390,"text":"Confederated Tribes of the Umatilla Indian Reservation, Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":544963,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beechie, Tim J.","contributorId":140124,"corporation":false,"usgs":false,"family":"Beechie","given":"Tim","email":"","middleInitial":"J.","affiliations":[{"id":13391,"text":"NOAA, Northwest Fisheries Science Center","active":true,"usgs":false}],"preferred":false,"id":544964,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zakrajsek, John","contributorId":140125,"corporation":false,"usgs":false,"family":"Zakrajsek","given":"John","email":"","affiliations":[{"id":13390,"text":"Confederated Tribes of the Umatilla Indian Reservation, Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":544965,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Webster, John G.","contributorId":140126,"corporation":false,"usgs":false,"family":"Webster","given":"John","email":"","middleInitial":"G.","affiliations":[{"id":13390,"text":"Confederated Tribes of the Umatilla Indian Reservation, Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":544966,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70146244,"text":"70146244 - 2015 - Exposure to runoff from coal-tar-sealed pavement induces genotoxicity and impairment of DNA repair capacity in the RTL-W1 fish liver cell line","interactions":[],"lastModifiedDate":"2015-04-14T13:49:50","indexId":"70146244","displayToPublicDate":"2015-04-14T14:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Exposure to runoff from coal-tar-sealed pavement induces genotoxicity and impairment of DNA repair capacity in the RTL-W1 fish liver cell line","docAbstract":"

Coal-tar-based (CTB) sealcoat, frequently applied to parking lots and driveways in North America, contains elevated concentrations of polycyclic aromatic hydrocarbons (PAHs) and related compounds. The RTL-W1 fish liver cell line was used to investigate two endpoints (genotoxicity and DNA-repair-capacity impairment) associated with exposure to runoff from asphalt pavement with CTB sealcoat or with an asphalt-based sealcoat hypothesized to contain about 7% CTB sealcoat (AS-blend). Genotoxic potential was assessed by the Formamido pyrimidine glycosylase (Fpg)-modified comet assay for 1:10 and 1:100 dilutions of runoff samples collected from 5 h to 36 d following sealcoat application. DNA-repair capacity was assessed by the base excision repair comet assay for 1:10 dilution of samples collected 26 h and 36 d following application. Both assays were run with and without co-exposure to ultraviolet-A radiation (UVA). With co-exposure to UVA, genotoxic effects were significant for both dilutions of CTB runoff for three of four sample times, and for some samples of AS-blend runoff. Base excision repair was significantly impaired for CTB runoff both with and without UVA exposure, and for AS-blend runoff only in the absence of UVA. This study is the first to investigate the effects of exposure to the complex mixture of chemicals in coal tar on DNA repair capacity. The results indicate that co-exposure to runoff from CT-sealcoated pavement and UVA as much as a month after sealcoat application has the potential to cause genotoxicity and impair DNA repair capacity.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2015.03.005","usgsCitation":"Kienzler, A., Mahler, B., Van Metre, P., Schweigert, N., Devaux, A., and Bony, S., 2015, Exposure to runoff from coal-tar-sealed pavement induces genotoxicity and impairment of DNA repair capacity in the RTL-W1 fish liver cell line: Science of the Total Environment, v. 520, p. 73-80, https://doi.org/10.1016/j.scitotenv.2015.03.005.","productDescription":"8 p.","startPage":"73","endPage":"80","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060690","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":299676,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"520","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"552e2c1fe4b0b22a157f9f2f","contributors":{"authors":[{"text":"Kienzler, Aude","contributorId":140240,"corporation":false,"usgs":false,"family":"Kienzler","given":"Aude","email":"","affiliations":[{"id":13426,"text":"University of Lyon","active":true,"usgs":false}],"preferred":false,"id":544888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mahler, Barbara 0000-0002-9150-9552 bjmahler@usgs.gov","orcid":"https://orcid.org/0000-0002-9150-9552","contributorId":1249,"corporation":false,"usgs":true,"family":"Mahler","given":"Barbara","email":"bjmahler@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":544887,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Metre, Peter C. pcvanmet@usgs.gov","contributorId":486,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter C.","email":"pcvanmet@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":544889,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schweigert, Nathalie","contributorId":140241,"corporation":false,"usgs":false,"family":"Schweigert","given":"Nathalie","email":"","affiliations":[{"id":13426,"text":"University of Lyon","active":true,"usgs":false}],"preferred":false,"id":544890,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Devaux, Alain","contributorId":140242,"corporation":false,"usgs":false,"family":"Devaux","given":"Alain","email":"","affiliations":[{"id":13426,"text":"University of Lyon","active":true,"usgs":false}],"preferred":false,"id":544891,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bony, Sylvie","contributorId":140243,"corporation":false,"usgs":false,"family":"Bony","given":"Sylvie","email":"","affiliations":[{"id":13426,"text":"University of Lyon","active":true,"usgs":false}],"preferred":false,"id":544892,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70146245,"text":"70146245 - 2015 - Acute toxicity of runoff from sealcoated pavement to Ceriodaphnia dubia and Pimephales promelas","interactions":[],"lastModifiedDate":"2015-04-27T16:10:45","indexId":"70146245","displayToPublicDate":"2015-04-14T14:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Acute toxicity of runoff from sealcoated pavement to Ceriodaphnia dubia and Pimephales promelas","docAbstract":"

Runoff from coal-tar-based (CT) sealcoated pavement is a source of polycyclic aromatic hydrocarbons (PAHs) and N-heterocycles to surface waters. We investigated acute toxicity of simulated runoff collected from 5 h to 111 days after application of CT sealcoat and from 4 h to 36 days after application of asphalt-based sealcoat containing about 7% CT sealcoat (AS/CT-blend). Ceriodaphnia dubia (cladocerans) and Pimephales promelas (fathead minnows) were exposed in the laboratory to undiluted and 1:10 diluted runoff for 48 h, then transferred to control water and exposed to 4 h of ultraviolet radiation (UVR). Mortality following exposure to undiluted runoff from unsealed asphalt pavement and UVR was ≤10% in all treatments. Test organisms exposed to undiluted CT runoff samples collected during the 3 days (C. dubia) or 36 days (P. promelas) following sealcoat application experienced 100% mortality prior to UVR exposure; with UVR exposure, mortality was 100% for runoff collected across the entire sampling period. Phototoxic-equivalent PAH concentrations and mortality demonstrated an exposure-response relation. The results indicate that runoff remains acutely toxic for weeks to months after CT sealcoat application.

","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.5b00933","usgsCitation":"Mahler, B., Ingersoll, C.G., Van Metre, P., Kunz, J.L., and Little, E.E., 2015, Acute toxicity of runoff from sealcoated pavement to Ceriodaphnia dubia and Pimephales promelas: Environmental Science & Technology, v. 49, no. 8, p. 5060-5069, https://doi.org/10.1021/acs.est.5b00933.","productDescription":"10 p.","startPage":"5060","endPage":"5069","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-058082","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":299675,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"8","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-10","publicationStatus":"PW","scienceBaseUri":"552e2c1be4b0b22a157f9f2d","chorus":{"doi":"10.1021/acs.est.5b00933","url":"http://dx.doi.org/10.1021/acs.est.5b00933","publisher":"American Chemical Society (ACS)","authors":"Mahler Barbara J., Ingersoll Christopher G., Van Metre Peter C., Kunz James L., Little Edward E.","journalName":"Environmental Science & Technology","publicationDate":"4/21/2015","auditedOn":"7/24/2015"},"contributors":{"authors":[{"text":"Mahler, Barbara 0000-0002-9150-9552 bjmahler@usgs.gov","orcid":"https://orcid.org/0000-0002-9150-9552","contributorId":1249,"corporation":false,"usgs":true,"family":"Mahler","given":"Barbara","email":"bjmahler@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":544912,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":544913,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Metre, Peter C. pcvanmet@usgs.gov","contributorId":486,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter C.","email":"pcvanmet@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":544914,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kunz, James L. 0000-0002-1027-158X jkunz@usgs.gov","orcid":"https://orcid.org/0000-0002-1027-158X","contributorId":3309,"corporation":false,"usgs":true,"family":"Kunz","given":"James","email":"jkunz@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":544915,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Little, Edward E. 0000-0003-0034-3639 elittle@usgs.gov","orcid":"https://orcid.org/0000-0003-0034-3639","contributorId":1746,"corporation":false,"usgs":true,"family":"Little","given":"Edward","email":"elittle@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":544916,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70146122,"text":"sim3325 - 2015 - Seismic-hazard maps for the conterminous United States, 2014","interactions":[],"lastModifiedDate":"2015-04-14T09:22:35","indexId":"sim3325","displayToPublicDate":"2015-04-14T10:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3325","title":"Seismic-hazard maps for the conterminous United States, 2014","docAbstract":"

The maps presented here provide an update to the 2008 data contained in U.S Geological Survey Scientific Investigations Map 3195 (http://pubs.usgs.gov/sim/3195/).Probabilistic seismic-hazard maps were prepared for the conterminous United States for 2014 portraying peak horizontal acceleration and horizontal spectral response acceleration for 0.2- and 1.0-second periods with probabilities of exceedance of 10 percent in 50 years and 2 percent in 50 years. All of the maps were prepared by combining the hazard derived from spatially smoothed historical seismicity with the hazard from fault-specific sources. The acceleration values contoured are the random horizontal component. The reference site condition is firm rock, defined as having an average shear-wave velocity of 760 m/s in the top 30 meters corresponding to the boundary between NEHRP (National Earthquake Hazards Reduction program) site classes B and C.

\n

This data set represents the results of calculations of hazard curves for a grid of points with a spacing of 0.05 degrees in latitude and longitude. The grid of points was contoured to produce the final representation of the seismic hazard.

\n

These maps are intended to summarize the available quantitative information about seismic ground motion hazard for the conterminous United States from geologic and geophysical sources.

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Sheet 1: This image mosaic is based on data from the Lunar Reconnaissance Orbiter Wide Angle Camera (WAC; Robinson and others, 2010), an instrument on the National Aeronautics and Space Administration (NASA) Lunar Reconnaissance Orbiter (LRO) spacecraft (Tooley and others, 2010). The equatorial WAC images were orthorectified onto the Global Lunar Digital Terrain Mosaic (GLD100, WAC-derived 100 m/pixel digital elevation model; Scholten and others, 2012) while the polar images were orthorectified onto the lunar LOLA polar digital elevation models (Neumann and others, 2010). The Mercator projection is used between latitudes ±57°, with a central meridian at 0° longitude and latitude equal to the nominal scale at 0°. The Polar Stereographic projection is used for the regions north of the +55° parallel and south of the –55° parallel, with a central meridian set for both at 0° and a latitude of true scale at +90° and -90°, respectively. All named features greater than 85 km in diameter or length were included unless they were not visible on the map. Some selected well-known features less than 85 km in size were also included. For listed references, please open the full PDF.

\n

Sheet 2: This map is based on data from the Lunar Orbiter Laser Altimeter (LOLA; Smith and others, 2010), an instrument on the National Aeronautics and Space Administration (NASA) Lunar Reconnaissance Orbiter (LRO) spacecraft (Tooley and others, 2010). The image used for the base of this map represents more than 6.5 billion measurements gathered between July 2009 and July 2013, adjusted for consistency in the coordinate system described below, and then converted to lunar radii (Mazarico and others, 2012). For the Mercator portion, these measurements were converted into a digital elevation model (DEM) with a resolution of 0.015625 degrees per pixel, or 64 pixels per degree. In projection, the pixels are 473.8 m in size at the equator. For the polar portion, the LOLA elevation points were used to create a DEM at 240 meters per pixel. A shaded relief map was generated from each DEM with a sun angle of 45° from horizontal, and a sun azimuth of 270°, as measured clockwise from north with no vertical exaggeration. The DEM values were then mapped to a global color look-up table, with each color representing a range of 1 km of elevation. For this map sheet, only larger feature names are shown. For references listed above, please open the full PDF.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3316","collaboration":"Prepared for the National Aeronautics and Space Administration","usgsCitation":"Hare, T.M., Hayward, R., Blue, J.S., and Archinal, B.A., 2015, Image mosaic and topographic map of the moon: U.S. Geological Survey Scientific Investigations Map 3316, 2 Sheets: 48.00 x 42.96 inches, https://doi.org/10.3133/sim3316.","productDescription":"2 Sheets: 48.00 x 42.96 inches","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055942","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":299640,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3316.JPG"},{"id":299617,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3316/"},{"id":299621,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3316/downloads/sim3316_sheet1.pdf","text":"Sheet 1 (Hi Res)","size":"251 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":299622,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3316/downloads/sim3316_sheet1_lo_res.pdf","text":"Sheet 1 (Lo Res)","size":"58.4 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":299623,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3316/downloads/sim3316_sheet2.pdf","text":"Sheet 2 (Hi Res)","size":"427 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":299624,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3316/downloads/sim3316_sheet2_lo_res.pdf","text":"Sheet 2 (Lo Res)","size":"55 MB","linkFileType":{"id":1,"text":"pdf"}}],"scale":"10000000","projection":"Mercator projection","otherGeospatial":"Moon","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"552e2c20e4b0b22a157f9f32","contributors":{"authors":[{"text":"Hare, Trent M. 0000-0001-8842-389X thare@usgs.gov","orcid":"https://orcid.org/0000-0001-8842-389X","contributorId":3188,"corporation":false,"usgs":true,"family":"Hare","given":"Trent","email":"thare@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":544698,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayward, Rosalyn K. 0000-0002-7428-0311 rhayward@usgs.gov","orcid":"https://orcid.org/0000-0002-7428-0311","contributorId":571,"corporation":false,"usgs":true,"family":"Hayward","given":"Rosalyn K.","email":"rhayward@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":false,"id":544699,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blue, Jennifer S. jblue@usgs.gov","contributorId":2276,"corporation":false,"usgs":true,"family":"Blue","given":"Jennifer","email":"jblue@usgs.gov","middleInitial":"S.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":544700,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Archinal, Brent A. 0000-0002-6654-0742 barchinal@usgs.gov","orcid":"https://orcid.org/0000-0002-6654-0742","contributorId":2816,"corporation":false,"usgs":true,"family":"Archinal","given":"Brent","email":"barchinal@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":544701,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70142219,"text":"fs20153016 - 2015 - Assessment of undiscovered oil and gas resources of the Paris Basin, France, 2015","interactions":[],"lastModifiedDate":"2015-04-17T10:00:04","indexId":"fs20153016","displayToPublicDate":"2015-04-13T17:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-3016","title":"Assessment of undiscovered oil and gas resources of the Paris Basin, France, 2015","docAbstract":"

Using a geology-based assessment methodology, the U.S. Geological Survey estimated means of 222 million barrels of unconventional oil; 2,092 billion cubic feet of unconventional gas; 18 million barrels of conventional oil; and 47 billion cubic feet of conventional gas resources in the Paris Basin of France.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153016","collaboration":"National and Global Petroleum Assessment Project","usgsCitation":"Schenk, C.J., Charpentier, R., Klett, T., Tennyson, M., Mercier, T.J., Le, P., Brownfield, M.E., Pitman, J.K., Gaswirth, S., Marra, K.R., and Leathers, H., 2015, Assessment of undiscovered oil and gas resources of the Paris Basin, France, 2015: U.S. Geological Survey Fact Sheet 2015-3016, 2 p., https://doi.org/10.3133/fs20153016.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062690","costCenters":[],"links":[{"id":299619,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20153016.jpg"},{"id":299618,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3016/pdf/fs2015-3016.pdf","text":"Report","size":"1.18 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2015-3016 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The U.S. Geological Survey (USGS) has initiated a multi-disciplinary study investigating the applicability of remote sensing technologies for geologic mapping and identification of prospective areas for base and precious metal deposits in remote parts of Alaska. The Kahiltna terrane in southwestern Alaska was selected for investigation because of its known mineral deposits and potential for additional mineral resources. An assortment of technologies is being investigated to aid in remote analysis of terrain, and includes imaging spectroscopy (hyperspectral remote sensing), high spatial resolution electro-optical imagery, and Synthetic Aperture Radar (SAR). However, there are significant challenges to applying imaging spectroscopy and electro-optical imagery technologies in this area because of the low solar angle for parts of the year, seasonal periods of darkness and snow cover, and the frequently cloudy weather that characterizes Alaska. Synthetic Aperture Radar (SAR) was selected because this technology does not rely on solar illumination and has all-weather capability.

\n

The USGS has compiled a continuous, cloud-free 12.5-meter resolution radar mosaic of SAR data of approximately 212,000 square kilometers to examine the suitability of this technology for geologic mapping. This mosaic was created from Advanced Land Observing Satellite (ALOS) Phased Array type L-band Synthetic Aperture Radar (PALSAR) data collected from 2007 to 2010 spanning the Kahiltna terrane and the surrounding area. Interpretation of these data may help geologists understand past geologic processes and identify areas with potential for near-surface mineral resources for further ground-based geological and geochemical investigations.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3323","usgsCitation":"Cole, C.J., Johnson, M., and Graham, G.E., 2015, Advanced Land Observing Satellite (ALOS) Phased Array Type L-Band Synthetic Aperture Radar (PALSAR) mosaic for the Kahiltna terrane, Alaska, 2007-2010: U.S. Geological Survey Scientific Investigations Map 3323, 1 Plate: 48 x 27.5 inches, https://doi.org/10.3133/sim3323.","productDescription":"1 Plate: 48 x 27.5 inches","numberOfPages":"1","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2007-01-01","temporalEnd":"2010-12-31","ipdsId":"IP-057901","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":299613,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3323/"},{"id":299614,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3323/pdf/SIM3323.pdf","text":"Map Sheet","size":"54.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3323 Map Sheet"},{"id":299615,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3323.jpg"}],"scale":"1000000","projection":"Universal Transverse Mercator projection","country":"United States","state":"Alaska","otherGeospatial":"Kahiltna Terrane","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -158.37890625,\n 59.40036514079251\n ],\n [\n -158.37890625,\n 62.12443624549497\n ],\n [\n -147.1728515625,\n 62.12443624549497\n ],\n [\n -147.1728515625,\n 59.40036514079251\n ],\n [\n -158.37890625,\n 59.40036514079251\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"552cda9ae4b0b22a157f5096","contributors":{"authors":[{"text":"Cole, Christopher J. cjcole@usgs.gov","contributorId":2163,"corporation":false,"usgs":true,"family":"Cole","given":"Christopher","email":"cjcole@usgs.gov","middleInitial":"J.","affiliations":[{"id":573,"text":"Special Applications Science Center","active":true,"usgs":true}],"preferred":true,"id":544686,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Michaela R. 0000-0001-6133-0247 mrjohns@usgs.gov","orcid":"https://orcid.org/0000-0001-6133-0247","contributorId":1013,"corporation":false,"usgs":true,"family":"Johnson","given":"Michaela R.","email":"mrjohns@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":544687,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graham, Garth E. 0000-0003-0657-0365 ggraham@usgs.gov","orcid":"https://orcid.org/0000-0003-0657-0365","contributorId":1031,"corporation":false,"usgs":true,"family":"Graham","given":"Garth","email":"ggraham@usgs.gov","middleInitial":"E.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":544688,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70142251,"text":"70142251 - 2015 - Inundation and salinity impacts to above- and belowground productivity in Spartina patens and Spartina alterniflora in the Mississippi River Deltaic Plain: implications for using river diversions as restoration tools","interactions":[],"lastModifiedDate":"2015-04-17T14:27:48","indexId":"70142251","displayToPublicDate":"2015-04-13T12:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Inundation and salinity impacts to above- and belowground productivity in Spartina patens and Spartina alterniflora in the Mississippi River Deltaic Plain: implications for using river diversions as restoration tools","docAbstract":"

Inundation and salinity directly affect plant productivity and processes that regulate vertical accretion in coastal wetlands, and are expected to increase as sea level continues to rise. In the Mississippi River deltaic plain, river diversions, which are being implemented as ecosystem restoration tools, can also strongly increase inundation in coastal wetlands. We used an in situ mesocosm approach to examine how varying salinity (two levels) and inundation rates (six levels) influenced end-of-season above- and belowground biomass of Spartina patens and Spartina alterniflora during the growing season (March–October) in 2011. Above- and belowground biomass was highest in both species at higher elevations when inundation was minimal, and decreased exponentially with decreased elevation and increased flood duration. This negative biomass response to flooding was more pronounced in S. patens than in S. alterniflora, and S. patens also showed stronger biomass reductions at higher salinities. This salinity effect was absent for belowground biomass in S. alterniflora. These findings suggest that even subtle increases in sea level may lead to substantial reductions in productivity and organic accretion, and also illustrate the importance of considering the inundation tolerance of co-dominant species in receiving areas when utilizing river diversions for delta restoration.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2015.04.035","usgsCitation":"Snedden, G.A., Cretini, K.F., and Patton, B., 2015, Inundation and salinity impacts to above- and belowground productivity in Spartina patens and Spartina alterniflora in the Mississippi River Deltaic Plain: implications for using river diversions as restoration tools: Ecological Engineering, v. 81, p. 133-139, https://doi.org/10.1016/j.ecoleng.2015.04.035.","productDescription":"7 p.","startPage":"133","endPage":"139","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2011-03-01","temporalEnd":"2011-10-31","ipdsId":"IP-058690","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"links":[{"id":299607,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Breton Sound, Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.6103286743164,\n 29.655239188953768\n ],\n [\n -89.60861206054688,\n 29.643304330949537\n ],\n [\n -89.81151580810547,\n 29.672542219068987\n ],\n [\n -89.80155944824217,\n 29.72145191669099\n ],\n [\n -89.6103286743164,\n 29.655239188953768\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"81","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"552cda9fe4b0b22a157f509a","contributors":{"authors":[{"text":"Snedden, Gregg A. 0000-0001-7821-3709 sneddeng@usgs.gov","orcid":"https://orcid.org/0000-0001-7821-3709","contributorId":3894,"corporation":false,"usgs":true,"family":"Snedden","given":"Gregg","email":"sneddeng@usgs.gov","middleInitial":"A.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":false,"id":541743,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cretini, Kari Foster 0000-0003-0419-0748","orcid":"https://orcid.org/0000-0003-0419-0748","contributorId":40314,"corporation":false,"usgs":true,"family":"Cretini","given":"Kari","email":"","middleInitial":"Foster","affiliations":[],"preferred":false,"id":541744,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patton, Brett 0000-0002-7396-3452 pattonb@usgs.gov","orcid":"https://orcid.org/0000-0002-7396-3452","contributorId":5458,"corporation":false,"usgs":true,"family":"Patton","given":"Brett","email":"pattonb@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":541745,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70146670,"text":"70146670 - 2015 - Effects of extreme floods on trout populations and fish communities in a Catskill Mountain river","interactions":[],"lastModifiedDate":"2015-11-09T11:22:51","indexId":"70146670","displayToPublicDate":"2015-04-13T12:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Effects of extreme floods on trout populations and fish communities in a Catskill Mountain river","docAbstract":"

Summary

\n

1. Extreme hydrologic events are becoming more common with changing climate. Although the impacts of winter and spring floods on lotic ecosystems have been well studied, the effects of summer floods are less well known.

\n

2. The Upper Esopus Creek Basin in the Catskill Mountains, NY, experienced severe flooding from Tropical Storm Irene on 28 August 2011, and peak discharges exceeded the 0.01 annual exceedance probability (>100 year flood) in some reaches. Three years of fish community data from pre-flood surveys at nine sites were compared to data from 2 years of post-flood surveys to evaluate changes in fish communities and populations of brown trout (Salmo trutta) and rainbow trout (Oncorhynchus mykiss).

\n

3. Basinwide, fish assemblages were not strongly impacted and appeared highly resilient to the effects of the flood. Total density and biomass of fish communities were greater at most sites 10-11 months after the flood than 1 month prior to the flood while richness and diversity were generally unchanged. Community composition did not differ significantly between years or between the pre-and post-flood periods.

\n

4. Although the density of mature brown trout was low at most sites (mean density = 146 fish ha-1), young-of-the-year brown trout reached their highest density (mean = 2312 fish ha-1) during 2012. In contrast, rainbow trout densities declined substantially during the 5-year study and the 2012 year class was small (mean density = 222 fish ha-1).

\n

5. Late summer floods may be less damaging to stream fish communities than winter or spring floods as spawning activity is negligible and early life stages of many species are generally larger and less susceptible to displacement and mortality. Additionally, post-flood conditions may be advantageous for brown trout recruitment.

","language":"English","publisher":"John Wiley & Sons Ltd.","publisherLocation":"Oxford, England","doi":"10.1111/fwb.12577","collaboration":"New York State Energy Research & Development Authority; Cornell Cooperative Extension of Ulster County; US Geological Survey","usgsCitation":"George, S.D., Baldigo, B.P., Smith, A., and Robinson, G., 2015, Effects of extreme floods on trout populations and fish communities in a Catskill Mountain river: Freshwater Biology, v. 60, no. 12, p. 2511-2522, https://doi.org/10.1111/fwb.12577.","productDescription":"12 p.","startPage":"2511","endPage":"2522","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052350","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":472149,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/fwb.12577","text":"Publisher Index Page"},{"id":299785,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":299783,"type":{"id":15,"text":"Index Page"},"url":"https://onlinelibrary.wiley.com/doi/10.1111/fwb.12577/full"}],"volume":"60","issue":"12","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2015-04-13","publicationStatus":"PW","scienceBaseUri":"55362338e4b0b22a15807a8e","chorus":{"doi":"10.1111/fwb.12577","url":"http://dx.doi.org/10.1111/fwb.12577","publisher":"Wiley-Blackwell","authors":"George S. D., Baldigo B. P., Smith A. J., Robinson G. R.","journalName":"Freshwater Biology","publicationDate":"4/13/2015","auditedOn":"7/24/2015"},"contributors":{"authors":[{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":545306,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldigo, Barry P. 0000-0002-9862-9119 bbaldigo@usgs.gov","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":1234,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry","email":"bbaldigo@usgs.gov","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":545307,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Alexander J.","contributorId":140345,"corporation":false,"usgs":false,"family":"Smith","given":"Alexander J.","affiliations":[{"id":13464,"text":"Environmental Analyst, NY State Dept of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":545308,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robinson, George","contributorId":140346,"corporation":false,"usgs":false,"family":"Robinson","given":"George","email":"","affiliations":[{"id":13465,"text":"Assoc. Professor, State University of New York at Albany","active":true,"usgs":false}],"preferred":false,"id":545309,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70156237,"text":"70156237 - 2015 - Accelerometer-derived activity correlates with volitional swimming speed in lake sturgeon (Acipenser fulvescens)","interactions":[],"lastModifiedDate":"2015-08-18T09:43:11","indexId":"70156237","displayToPublicDate":"2015-04-13T01:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1176,"text":"Canadian Journal of Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Accelerometer-derived activity correlates with volitional swimming speed in lake sturgeon (Acipenser fulvescens)","docAbstract":"

Quantifying fine-scale locomotor behaviours associated with different activities is challenging for free-swimming fish.
Biologging and biotelemetry tools can help address this problem. An open channel flume was used to generate volitional
swimming speed (Us) estimates of cultured lake sturgeon (Acipenser fulvescens Rafinesque, 1817) and these were paired with
simultaneously recorded accelerometer-derived metrics of activity obtained from three types of data-storage tags. This study
examined whether a predictive relationship could be established between four different activity metrics (tail-beat frequency
(TBF), tail-beat acceleration amplitude (TBAA), overall dynamic body acceleration (ODBA), and vectorial dynamic body acceleration
(VeDBA)) and the swimming speed of A. fulvescens. Volitional Us of sturgeon ranged from 0.48 to 2.70 m·s−1 (0.51–3.18 body
lengths (BL) · s−1). Swimming speed increased linearly with all accelerometer-derived metrics, and when all tag types were
combined, Us increased 0.46 BL·s−1 for every 1 Hz increase in TBF, and 0.94, 0.61, and 0.94 BL·s−1 for every 1g increase in TBAA,
ODBA, and VeDBA, respectively. Predictive relationships varied among tag types and tag-specific parameter estimates of Us are
presented for all metrics. This use of acceleration data-storage tags demonstrated their applicability for the field quantification
of sturgeon swimming speed.

","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjz-2014-0271","usgsCitation":"Thiem, J., Dawson, J., Gleiss, A., Martins, E., Haro, A.J., Castro-Santos, T.R., Danylchuk, A., Wilson, R.P., and Cooke, S.J., 2015, Accelerometer-derived activity correlates with volitional swimming speed in lake sturgeon (Acipenser fulvescens): Canadian Journal of Zoology, v. 93, p. 645-654, https://doi.org/10.1139/cjz-2014-0271.","productDescription":"10 p.","startPage":"645","endPage":"654","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055359","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":306844,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"93","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55d4572be4b0518e354694a0","contributors":{"authors":[{"text":"Thiem, J.D.","contributorId":146533,"corporation":false,"usgs":false,"family":"Thiem","given":"J.D.","email":"","affiliations":[{"id":16718,"text":"Department of Biology, Carleton University, 1125 Colonel By Drive, Ottawa, Ontario K1S 5B6, Canada","active":true,"usgs":false}],"preferred":false,"id":568125,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dawson, J.W.","contributorId":106339,"corporation":false,"usgs":false,"family":"Dawson","given":"J.W.","email":"","affiliations":[{"id":16718,"text":"Department of Biology, Carleton University, 1125 Colonel By Drive, Ottawa, Ontario K1S 5B6, Canada","active":true,"usgs":false}],"preferred":false,"id":568126,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gleiss, A.C.","contributorId":146534,"corporation":false,"usgs":false,"family":"Gleiss","given":"A.C.","email":"","affiliations":[{"id":16719,"text":"Hopkins Marine Station, Stanford University, Pacific Grove, CA 909350, USA","active":true,"usgs":false}],"preferred":false,"id":568127,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martins, E.G.","contributorId":146535,"corporation":false,"usgs":false,"family":"Martins","given":"E.G.","email":"","affiliations":[{"id":16718,"text":"Department of Biology, Carleton University, 1125 Colonel By Drive, Ottawa, Ontario K1S 5B6, Canada","active":true,"usgs":false}],"preferred":false,"id":568128,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haro, Alexander J. 0000-0002-7188-9172 aharo@usgs.gov","orcid":"https://orcid.org/0000-0002-7188-9172","contributorId":2917,"corporation":false,"usgs":true,"family":"Haro","given":"Alexander","email":"aharo@usgs.gov","middleInitial":"J.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":568124,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Castro-Santos, Theodore R. 0000-0003-2575-9120 tcastrosantos@usgs.gov","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":3321,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","email":"tcastrosantos@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":568129,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Danylchuk, A. J.","contributorId":146536,"corporation":false,"usgs":false,"family":"Danylchuk","given":"A. J.","affiliations":[{"id":16720,"text":"Department of Environmental Conservation, University of Massachusetts, Amherst, MA 01003-9485, USA","active":true,"usgs":false}],"preferred":false,"id":568130,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wilson, R. P.","contributorId":37672,"corporation":false,"usgs":true,"family":"Wilson","given":"R.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":568131,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cooke, S. J.","contributorId":55645,"corporation":false,"usgs":false,"family":"Cooke","given":"S.","email":"","middleInitial":"J.","affiliations":[{"id":16718,"text":"Department of Biology, Carleton University, 1125 Colonel By Drive, Ottawa, Ontario K1S 5B6, Canada","active":true,"usgs":false}],"preferred":false,"id":568132,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70147255,"text":"70147255 - 2015 - Remigial molt of sea ducks","interactions":[{"subject":{"id":70147255,"text":"70147255 - 2015 - Remigial molt of sea ducks","indexId":"70147255","publicationYear":"2015","noYear":false,"chapter":"9","title":"Remigial molt of sea ducks"},"predicate":"IS_PART_OF","object":{"id":70146989,"text":"70146989 - 2015 - Ecology and conservation of North American sea ducks","indexId":"70146989","publicationYear":"2015","noYear":false,"title":"Ecology and conservation of North American sea ducks"},"id":1}],"isPartOf":{"id":70146989,"text":"70146989 - 2015 - Ecology and conservation of North American sea ducks","indexId":"70146989","publicationYear":"2015","noYear":false,"title":"Ecology and conservation of North American sea ducks"},"lastModifiedDate":"2018-07-15T10:56:42","indexId":"70147255","displayToPublicDate":"2015-04-13T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"9","title":"Remigial molt of sea ducks","docAbstract":"

Molt is a dynamic process occurring throughout much of the year in waterfowl. The molt of flight feathers by waterfowl, especially sea ducks, however, occurs over a compressed period of time and in spcific areas used each year. We provide an overview of the flight feather molt of sea ducks. We focus on the need to molt and why, the timing and duration of flight feather mot, and the duration birds remain at molting areas; energetics of molt and strategies for managing energetic needs; molt migration' food resources and foraging behavior; predation risks; temporal constraints and competition; response to disturbance; and molt habitats and seasonal differences in habitat used by sea ducks. We conclude by presenting and discussing data gaps and emphasize the continuing need for a holistic approach to sea duck management and international cooperation among countries.

","largerWorkTitle":"Ecology and conservation of North American sea ducks; Studies in Avian Biology v. 46","language":"English","publisher":"CRC Press","publisherLocation":"Boca Raton, FL","isbn":"9781482248975","collaboration":"Savard, Jean-Pierre L.","usgsCitation":"Petersen, M.R., and Savard, J.L., 2015, Remigial molt of sea ducks, chap. 9 of Ecology and conservation of North American sea ducks; Studies in Avian Biology v. 46, v. 46, p. 305-336.","productDescription":"32 p.","startPage":"305","endPage":"336","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054808","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":312268,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":299938,"type":{"id":15,"text":"Index Page"},"url":"https://www.crcpress.com/product/isbn/9781482248975"}],"volume":"46","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"566ff655e4b09cfe53ca79bf","contributors":{"authors":[{"text":"Petersen, Margaret R. 0000-0001-6082-3189 mrpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-6082-3189","contributorId":167729,"corporation":false,"usgs":true,"family":"Petersen","given":"Margaret","email":"mrpetersen@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":545743,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Savard, Jean-Pierre L.","contributorId":101776,"corporation":false,"usgs":false,"family":"Savard","given":"Jean-Pierre","email":"","middleInitial":"L.","affiliations":[{"id":6962,"text":"Science and Technology Branch, Environment Canada","active":true,"usgs":false}],"preferred":false,"id":582133,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70147374,"text":"70147374 - 2015 - Population dynamics of sea ducks: using models to understand the causes, consequences, evolution, and management of variation in life history characteristics","interactions":[{"subject":{"id":70147374,"text":"70147374 - 2015 - Population dynamics of sea ducks: using models to understand the causes, consequences, evolution, and management of variation in life history characteristics","indexId":"70147374","publicationYear":"2015","noYear":false,"chapter":"3","title":"Population dynamics of sea ducks: using models to understand the causes, consequences, evolution, and management of variation in life history characteristics"},"predicate":"IS_PART_OF","object":{"id":70146989,"text":"70146989 - 2015 - Ecology and conservation of North American sea ducks","indexId":"70146989","publicationYear":"2015","noYear":false,"title":"Ecology and conservation of North American sea ducks"},"id":1}],"isPartOf":{"id":70146989,"text":"70146989 - 2015 - Ecology and conservation of North American sea ducks","indexId":"70146989","publicationYear":"2015","noYear":false,"title":"Ecology and conservation of North American sea ducks"},"lastModifiedDate":"2017-07-25T09:47:41","indexId":"70147374","displayToPublicDate":"2015-04-13T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"3","title":"Population dynamics of sea ducks: using models to understand the causes, consequences, evolution, and management of variation in life history characteristics","docAbstract":"

In this chapter, I explore population dynamics of sea ducks by developing population models. In determining which life history characteristics had the greatest influence on future population dynamics, adult female survival consistently had the highest sensitivity and elasticity and this result was robust across a wide range of life history parameter values. Conversely, retrospective models consistently found that the majority of annual variation in lambda was associate with variation in productivity. Stochastic models that are base on process variation and incorporate correlations among life history parameters are the most useful for visualizing the probability of achieving a desired management outcome. Effective management targets both the mean and the variance parameters and takes advantage of correlations among life history parameters. Example models demonstrate that sea duck species can achieve equal fitness using a variety of survival and productivity combinations. Sea duck populations will tend to have long time largest in terms of responding to management actions. Understanding the role of density-dependent population regulation is critical for effective sea duck management and conservation.

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