Rock environments both underground and on Earth’s surface show indications of energetic macroscale fracture. In tunnels and excavations, these manifest as rockbursts—energetic explosions of rock that can damage engineering projects, and may pose ongoing financial and safety risk as rock stresses adjust during post-failure relaxation. In natural settings at the surface, evidence for rockbursts exist in the form of tent-like structures of ruptured exfoliation sheets, but few direct observations of such events exist, precluding the analysis of how natural rock formations may evolve after rupture. Here we investigate the post-failure evolution of a granitic rock dome following rapid fracture events (i.e., surficial rockbursts) that occurred in California, USA during 2014–2016. Building upon previous work that showed a thermal stress origin for the observed fracturing, we investigate the return to background stress conditions (i.e., stress relaxation) observed in both short- (week, month) and long-term (multi-year) rock deformation trends. Acoustic emissions, deformation, and environmental monitoring data indicate that partially detached rock sheets forming the surface of the dome undergo fracture aperture closing during cooling periods, concurrent with reduction of rock stress by the source of forcing (i.e., thermal stress). However, with sufficient critical and/or subcritical fracture, our observations also show that rock sheets can become decoupled from the source of stress, resulting in a long-term return to background stress conditions. Our results provide insight into the cyclic and likely ephemeral nature of rock fracture in surficial rock domes, as well as in underground rockburst environments.
Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 24 trillion cubic feet of gas in the Mesaverde Group and Wasatch Formation of the Uinta-Piceance Province in northeast Utah and northwest Colorado.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193027","usgsCitation":"Drake, R.M., II, Schenk, C.J., Mercier, T.J., Le, P.A., Finn, T.M., Johnson, R.C., Woodall, C.A., Gaswirth, S.B., Marra, K.R., Pitman, J.K., Leathers-Miller, H.M., Haines, S.S., and Tennyson, M.E., 2019, Assessment of undiscovered continuous tight-gas resources in the Mesaverde Group and Wasatch Formation, Uinta-Piceance Province, Utah and Colorado, 2018: U.S. Geological Survey Fact Sheet 2019–3027, 2 p., https://doi.org/10.3133/fs20193027.","productDescription":"Report: 2 p.; Data Release","numberOfPages":"2","onlineOnly":"N","ipdsId":"IP-105699","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":437464,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P935RLIG","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project - Piceance and Uinta Basins, Mesaverde Group Tight Gas Assessment Unit Boundaries and Assessment Input Data Forms"},{"id":363589,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3027/fs20193027.pdf","text":"Report","size":"804 kB ","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019-3027"},{"id":363588,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3027/coverthb2.jpg"},{"id":369123,"rank":4,"type":{"id":30,"text":"Data Release"},"url":" https://doi.org/10.5066/P935RLIG ","text":"USGS data release","description":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project—Piceance and Uinta Basins, Mesaverde Group Tight Gas Assessment Unit Boundaries and Assessment Input Data Forms"},{"id":363952,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3027/fs20193027_corr-note.txt","text":"Correction Note","size":"1.0 kB","linkFileType":{"id":2,"text":"txt"},"description":"FS 2019-3027 Correction Note"}],"country":"United States","state":"Colorado, Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112.1044921875,\n 37.96152331396614\n ],\n [\n -105.897216796875,\n 37.95286091815649\n ],\n [\n -105.88623046874999,\n 41.0130657870063\n ],\n [\n -111.851806640625,\n 40.95501133048621\n ],\n [\n -112.1044921875,\n 37.96152331396614\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
Because natural ecosystems are complex, it is difficult to predict how their variability scales across space and levels of organization. The species‐insurance hypothesis predicts that asynchronous dynamics among species should reduce variability when biomass is aggregated either from local species populations to local multispecies communities, or from metapopulations to metacommunities. Similarly, the spatial‐insurance hypothesis predicts that asynchronous spatial dynamics among either local populations or local communities should stabilize metapopulation biomass and metacommunity biomass, respectively. In combination, both species and spatial insurance reduce variation in metacommunity biomass over time, yet these insurances are rarely considered together in natural systems. We partitioned the extent that species insurance and spatial insurance reduced the annual variation in macroalgal biomass in a southern California kelp forest. We quantified variability and synchrony at two levels of organization (population and community) and two spatial scales (local plots and region) and quantified the strength of species and spatial insurance by comparing observed variability and synchrony in aggregate biomass to null models of independent species or spatial dynamics based on cyclic‐shift permutation. Spatial insurance was weak, presumably because large‐scale oceanographic processes in the study region led to high spatial synchrony at both population‐ and community‐level biomass. Species insurance was stronger due to asynchronous dynamics among the metapopulations of a few common species. In particular, a regional decline in the dominant understory kelp species Pterygophora californica was compensated for by the rise of three subdominant species. These compensatory dynamics were associated with positive values of the Pacific Decadal Oscillation, indicating that differential species tolerances to warmer temperature and nutrient‐poor conditions may underlie species insurance in this system. Our results illustrate how species insurance can stabilize aggregate community properties in natural ecosystems where environmental conditions vary over broad spatial scales.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.2719","usgsCitation":"Lamy, T., Wang, S., Renard, D., Lafferty, K.D., Reed, D.C., and Miller, R.J., 2019, Species insurance trumps spatial insurance in stabilizing biomass of a marine macroalgal metacommunity: Ecology, v. 100, no. 2, e02719, 10 p., https://doi.org/10.1002/ecy.2719.","productDescription":"e02719, 10 p.","ipdsId":"IP-104448","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":364980,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"100","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Lamy, Thomas","contributorId":203605,"corporation":false,"usgs":false,"family":"Lamy","given":"Thomas","email":"","affiliations":[{"id":36524,"text":"University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":764934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Shaopeng","contributorId":216516,"corporation":false,"usgs":false,"family":"Wang","given":"Shaopeng","email":"","affiliations":[{"id":39466,"text":"Peking University, Beijing","active":true,"usgs":false}],"preferred":false,"id":764935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Renard, Delphine","contributorId":216517,"corporation":false,"usgs":false,"family":"Renard","given":"Delphine","email":"","affiliations":[{"id":36524,"text":"University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":764936,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":764933,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reed, Daniel C.","contributorId":203607,"corporation":false,"usgs":false,"family":"Reed","given":"Daniel","email":"","middleInitial":"C.","affiliations":[{"id":36524,"text":"University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":764937,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, Robert J.","contributorId":176277,"corporation":false,"usgs":false,"family":"Miller","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":764938,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70204006,"text":"70204006 - 2019 - Groundwater quality of a public supply aquifer in proximity to oil development, Fruitvale Oil Field, Bakersfield, California","interactions":[],"lastModifiedDate":"2019-06-26T16:03:51","indexId":"70204006","displayToPublicDate":"2019-05-13T15:51:24","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater quality of a public supply aquifer in proximity to oil development, Fruitvale Oil Field, Bakersfield, California","docAbstract":"Due to concerns over the effects of oil production activities on groundwater quality in California, chemical, isotopic, dissolved gas and age-dating tracers were analyzed in samples collected from public-supply wells and produced-water sites in the Fruitvale oil field (FVOF). A combination of newly collected and historical data was used to determine whether oil formation fluids have mixed with groundwater used for public supply and what the potential pathways for the migration of oil formation fluids into groundwater may be. Stable isotopes of water (δ2H and δ18O) and age dating (3H, 3Hetrit, SF6 and 14C) tracers in groundwater samples were consistent with the Kern River being the main source of recharge to aquifers. The distribution of major ion concentrations and pH with distance from the Kern River indicate that natural processes were the primary controls on groundwater salinity. Two of 14 groundwater samples had δ13C-DIC values (−2.4 to +1.9 per mil) consistent with mixtures of <1 to about 9 percent oil-field water. Concentrations of TDS in groundwater samples were generally much lower (129–1,200 milligrams per liter (mg/l), median 216 mg/l) than produced water samples (586–24,930 mg/l, median 2,717 mg/l), suggesting that any mixing of oil-field water with groundwater has not significantly affected groundwater salinity. Trace concentrations of thermogenic methane were detected in three groundwater samples that did not have dissolved inorganic or isotopic indicators consistent with mixing of oil-field water, suggesting that stray gases may have migrated from the subsurface via preferential pathways such as leaky well bores into groundwater aquifers. Low concentrations of petroleum hydrocarbons were detected in samples that also contained anthropogenic VOCs and components of post- and pre-1950s recharge, indicating that petroleum hydrocarbons could have come from subsurface and/or surface sources. Overall, the results of this study indicated that groundwater currently used for public supply in the FVOF was of good quality with little, if any, effects from oil production activities. This may be due in part to the relatively rapid flushing of the aquifer system by recharge from the Kern River.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2019.05.003","usgsCitation":"Wright, M., McMahon, P.B., Landon, M.K., and Kulongoski, J.T., 2019, Groundwater quality of a public supply aquifer in proximity to oil development, Fruitvale Oil Field, Bakersfield, California: Applied Geochemistry, v. 106, p. 82-95, https://doi.org/10.1016/j.apgeochem.2019.05.003.","productDescription":"14 p.","startPage":"82","endPage":"95","ipdsId":"IP-093942","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true}],"links":[{"id":467620,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeochem.2019.05.003","text":"Publisher Index Page"},{"id":365096,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Bakersfield","otherGeospatial":"Fruitvale Oil Field","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.57107543945311,\n 35.17493084974928\n ],\n [\n -119.57107543945311,\n 35.17493084974928\n ],\n [\n -119.57107543945311,\n 35.17493084974928\n ],\n [\n -119.57107543945311,\n 35.17493084974928\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.00115966796875,\n 35.48890875085949\n ],\n [\n -119.04373168945314,\n 35.48541438776276\n ],\n [\n -119.0478515625,\n 35.48275857019274\n ],\n [\n -119.04870986938477,\n 35.46808010116232\n ],\n [\n -119.04029846191405,\n 35.46108941215697\n ],\n [\n -119.02072906494142,\n 35.44724605551148\n ],\n [\n -119.02072906494142,\n 35.44221151715641\n ],\n [\n -119.01643753051758,\n 35.43941441533686\n ],\n [\n -119.01163101196289,\n 35.436617216330966\n ],\n [\n -119.00922775268555,\n 35.42878454211113\n ],\n [\n -119.01884078979492,\n 35.42374884923695\n ],\n [\n -119.01248931884766,\n 35.411018333025666\n ],\n [\n -119.00871276855467,\n 35.40682101870289\n ],\n [\n -118.98828506469725,\n 35.41003897923532\n ],\n [\n -118.96957397460938,\n 35.41269719754907\n ],\n [\n -118.96322250366211,\n 35.42290953648285\n ],\n [\n -118.94914627075195,\n 35.43395978725954\n ],\n [\n -118.9460563659668,\n 35.44235136969617\n ],\n [\n -118.95429611206056,\n 35.453259119161764\n ],\n [\n -118.9621925354004,\n 35.46808010116232\n ],\n [\n -118.97283554077148,\n 35.474930386870035\n ],\n [\n -118.99686813354491,\n 35.485833719356805\n ],\n [\n -119.00115966796875,\n 35.48890875085949\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"106","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wright, Michael 0000-0003-0653-6466 mtwright@usgs.gov","orcid":"https://orcid.org/0000-0003-0653-6466","contributorId":151031,"corporation":false,"usgs":true,"family":"Wright","given":"Michael","email":"mtwright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":765169,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":765170,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Landon, Matthew K. 0000-0002-5766-0494 landon@usgs.gov","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":392,"corporation":false,"usgs":true,"family":"Landon","given":"Matthew","email":"landon@usgs.gov","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":765171,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kulongoski, Justin T. 0000-0002-3498-4154 kulongos@usgs.gov","orcid":"https://orcid.org/0000-0002-3498-4154","contributorId":173457,"corporation":false,"usgs":true,"family":"Kulongoski","given":"Justin","email":"kulongos@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":765172,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70202978,"text":"ofr20191037 - 2019 - Monitoring live vegetation in semiarid and arid rangeland environments with satellite remote sensing in northern Kenya","interactions":[],"lastModifiedDate":"2019-05-14T11:37:50","indexId":"ofr20191037","displayToPublicDate":"2019-05-13T11:49:01","publicationYear":"2019","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":"2019-1037","displayTitle":"Monitoring Live Vegetation in Semiarid and Arid Rangeland Environments with Satellite Remote Sensing in Northern Kenya","title":"Monitoring live vegetation in semiarid and arid rangeland environments with satellite remote sensing in northern Kenya","docAbstract":"As part of the U.S. Department of the Interior’s (DOI) commitment to provide technical assistance to the Kenyan Northern Rangelands Trust (NRT), the U.S. Geological Survey, in collaboration with the DOI International Technical Assistance Program and the U.S. Agency for International Development’s regional mission in East Africa, created a high spatial and time-sensitive live vegetation monitoring system for NRT. The system built with advanced field and sensor technologies produced directly calibrated and highly accurate satellite mapping that is extendable both forward and backward in time. The maps are produced in a simple 0–100-percent representation of live vegetation status and change over time. The backbone of the mapping is the Sentinel satellite remote sensing systems with 5-day collection frequencies and ground spatial resolutions of 10 meters. The European Space Agency (ESA) offers free Sentinel satellite image data through conveniently accessed websites and free user-friendly image processing software downloadable directly onto a personal workstation. ESA provides free online software support. The mapping capability was extended from the forward mapping of Sentinel back in time with the Landsat satellite remote sensing system that has an available and free data archive back to 1983. Although Landsat has coarser spatial resolution, the Landsat to Sentinel live vegetation mapping comparison supports the use of Landsat to provide NRT the historical recreation of prominent live vegetation changes.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191037","collaboration":"Prepared in cooperation with the U.S. Agency for International Development","usgsCitation":"Rangoonwala, Amina, and Ramsey, E.W., III, 2019, Monitoring live vegetation in semiarid and arid rangeland environments with satellite remote sensing in northern Kenya: U.S. Geological Survey Open-File Report 2019–1037, 83 p., https://doi.org/10.3133/ofr20191037.","productDescription":"Report: vii, 83 p.; 15 Figures","numberOfPages":"96","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-105119","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":363609,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1037/ofr20191037.pdf","text":"Report","size":"22.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1037"},{"id":363608,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1037/coverthb.jpg"},{"id":363610,"rank":3,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2019/1037/ofr20191037_fig15a.tif","text":"Figure 15A—high resolution—","description":"OFR 2019–1037 Figure 15A","linkHelpText":"June 2018 live vegetation map"},{"id":363617,"rank":10,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2019/1037/ofr20191037_fig18b.tif","text":"Figure 18B—high resolution—","description":"OFR 2019–1037 Figure 18B","linkHelpText":"Live cover map with tree mask overlay (dark green)"},{"id":363611,"rank":4,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2019/1037/ofr20191037_fig15b.tif","text":"Figure 15B—high resolution—","description":"OFR 2019–1037 Figure 15B","linkHelpText":"June 2018 live vegetation map with tree mask overlay (dark green)"},{"id":363612,"rank":5,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2019/1037/ofr20191037_fig16a.tif","text":"Figure 16A—high resolution—","description":"OFR 2019–1037 Figure 16A","linkHelpText":"September 2017 live vegetation map"},{"id":363613,"rank":6,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2019/1037/ofr20191037_fig16b.tif","text":"Figure 16B—high resolution—","description":"OFR 2019–1037 Figure 16B","linkHelpText":"September 2017 live vegetation map with tree mask overlay (dark green)"},{"id":363614,"rank":7,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2019/1037/ofr20191037_fig17a.tif","text":"Figure 17A—high resolution—","description":"OFR 2019–1037 Figure 17A","linkHelpText":"June 2017 live vegetation cover proportion map"},{"id":363615,"rank":8,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2019/1037/ofr20191037_fig17b.tif","text":"Figure 17B—high resolution—","description":"OFR 2019–1037 Figure 17B","linkHelpText":"June 2017 live vegetation cover map with tree mask overlay (dark green)"},{"id":363616,"rank":9,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2019/1037/ofr20191037_fig18a.tif","text":"Figure 18A—high resolution—","description":"OFR 2019–1037 Figure 18A","linkHelpText":"June 2017 to June 2018 live vegetation cover proportion change map"},{"id":363618,"rank":11,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2019/1037/ofr20191037_fig19a.tif","text":"Figure 19A—high resolution—","description":"OFR 2019–1037 Figure 19A","linkHelpText":"September 2017 to June 2018 live vegetation cover proportion change map"},{"id":363619,"rank":12,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2019/1037/ofr20191037_fig19b.tif","text":"Figure 19B—high resolution—","description":"OFR 2019–1037 Figure 19B","linkHelpText":"Live cover maps with tree mask overlay (dark green)"},{"id":363620,"rank":13,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2019/1037/ofr20191037_fig20a.tif","text":"Figure 20A—high resolution—","description":"OFR 2019–1037 Figure 20A","linkHelpText":"June 2017 to September 2017 live vegetation cover proportion change map"},{"id":363621,"rank":14,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2019/1037/ofr20191037_fig20b.tif","text":"Figure 20B—high resolution—","description":"OFR 2019–1037 Figure 20B","linkHelpText":"Live vegetation change map with tree mask overlay (dark green)"},{"id":363622,"rank":15,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2019/1037/ofr20191037_fig40a.tif","text":"Figure 40A—high resolution—","description":"OFR 2019–1037 Figure 40A","linkHelpText":"Live vegetation cover proportion for the core-Kenyan Northern Rangelands Trust conservancies in June 2017 "},{"id":363623,"rank":16,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2019/1037/ofr20191037_fig40b.tif","text":"Figure 40B—high resolution—","description":"OFR 2019–1037 Figure 40B","linkHelpText":"Live vegetation cover proportion for the core-Kenyan Northern Rangelands Trust conservancies in June 2018 "},{"id":363624,"rank":17,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/of/2019/1037/ofr20191037_fig41.jpg","text":"Figure 41—high resolution—","description":"OFR 2019–1037 Figure 41","linkHelpText":"June 2018 synthetic aperture radar (SAR) vertical send and vertical receive (VV) and vertical send and horizontal receive (VH) images"}],"country":"Kenya","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 33.8818359375,\n -0.9667509997666298\n ],\n [\n 37.72705078125,\n -3.601142320158722\n ],\n [\n 39.26513671875,\n -4.8282597468669755\n ],\n [\n 40.166015625,\n -3.3160183381615123\n ],\n [\n 41.72607421875,\n -1.7794990011582128\n ],\n [\n 41.02294921875,\n 1.0765967983064109\n ],\n [\n 42.22045898437501,\n 4.313546364068527\n ],\n [\n 40.78125,\n 4.280680030820496\n ],\n [\n 38.97949218749999,\n 3.71078200434872\n ],\n [\n 35.244140625,\n 4.872047700241915\n ],\n [\n 33.42041015625,\n 4.313546364068527\n ],\n [\n 33.8818359375,\n -0.9667509997666298\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Wetland and Aquatic Research Center
U.S. Geological Survey
700 Cajundome Blvd.
Lafayette, LA 70506
Topographical differencing and edge-matching analyses were used to evaluate agreement of the Coastal National Elevation Database Applications Project’s Northern Gulf of Mexico topobathymetric digital elevation model (TBDEM) with The National Map 3-Dimensional Elevation Program (3DEP) 1/3 arc-second digital elevation models (DEMs). In addition to topographic map products provided through the National Geospatial Program, the model integrates bathymetric and topobathymetric datasets for three-dimensional (3D) mapping of rivers, lakes, and bays in the upland and intertidal wetlands to offshore environments in coastal zones from the border between Texas and Louisiana to east of Mobile Bay, Alabama.
Contoured elevation differences between the Northern Gulf of Mexico TBDEM and the 3DEP 1/3 arc-second DEMs indicate that 85 percent of elevation data in the Northern Gulf of Mexico TBDEM agree (no difference for contoured elevations) between 95 and 100 percent with 3DEP 1/3 arc-second DEMs. Edge matching differences between adjacent Northern Gulf of Mexico TBDEM source projects or between the TBDEM and 3DEP DEMs indicate most seams between integrated and 3DEP DEMs are smooth. Where seams did not match, most differences were in the range of tenths to hundredths of a meter. Valid differences that are greater than plus or minus 2 meters in areas of bathymetric data are found in the Mississippi River, Atchafalaya River, Lower Atchafalaya River, Wax Lake Pass channel, the Vermilion Bay bathymetric datasets, and where topobathymetric datasets are integrated in the model. Areas with positive or negative outlier difference elevations seem to be a result of site conditions that affect light detection and ranging (lidar) waveform return signals, misclassification of surface features, or possibly because of interpolation required to develop a smooth elevation surface. Results of this analysis provide information to help understand model parameters and agreement of the Northern Gulf of Mexico TBDEM developed using different data types from different sources with The National Map 3DEP DEMs.
Inclusion of bathymetric and topobathymetric data types in the 3DEP aligns with the mission to respond to growing needs for a wide range of three-dimensional representations of the Nation and supports the U.S. Geological Survey strategy for developing a National Terrain Model to provide hydrographic and elevation data that extend the elevation surface below water bodies. The 3D Nation Requirements and Benefits Study sponsored by the U.S. Geological Survey and National Oceanic and Atmospheric Administration to assess local to regional Tribal, State, and Federal technical requirements, needs, and benefits for using topographic and bathymetric 3DEP elevation data will be used to help develop and refine future program alternatives for 3D elevation data that include a category for bathymetry and topobathymetry. At the time of this report (2019), 3DEP acquisition is specific to topographic lidar that meets lidar DEM specifications and which requires surface-water feature areas to be hydroflattened. Cataloging bathymetric and topobathymetric DEMs as part of the 3DEP will require new specifications for acoustic, lidar, merged acoustic and lidar, and possibly other bathymetric and topobathymetric survey data types.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191016","usgsCitation":"Miller-Corbett, C., 2019, Analysis for agreement of the Northern Gulf of Mexico topobathymetric digital elevation model with 3-Dimensional Elevation Program 1/3 arc-second digital elevation models: U.S. Geological Survey Open-File Report 2019–1016, 44 p., https://doi.org/10.3133/ofr20191016.","productDescription":"vi, 43 p.","numberOfPages":"54","onlineOnly":"Y","ipdsId":"IP-081383","costCenters":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"links":[{"id":363655,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1016/ofr20191016.pdf","text":"Report","size":"16.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1016"},{"id":363654,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1016/coverthb.jpg"}],"country":"United States","state":"Alabama, Florida, Louisiana, Mississippi, Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.48193359375,\n 28.43971381702788\n ],\n [\n -84.13330078125,\n 28.43971381702788\n ],\n [\n -84.13330078125,\n 31.39115752282472\n ],\n [\n -96.48193359375,\n 31.39115752282472\n ],\n [\n -96.48193359375,\n 28.43971381702788\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, National Geospatial Technical Operations Center
U.S. Geological Survey
1400 Independence Road
Rolla, MO 65401
Human activity has altered 33–50% of Earth's surface, including temperate grasslands and sagebrush rangelands, resulting in a loss of biodiversity. By promoting habitat for sensitive or wide‐ranging species, less exigent species may be protected in an umbrella effect. The greater sage‐grouse (Centrocercus urophasianus; sage‐grouse) has been proposed as an umbrella for other sagebrush‐obligate species because it has an extensive range that overlaps with many other species, it is sensitive to anthropogenic activity, it requires resources over large landscapes, and its habitat needs are known. The efficacy of the umbrella concept, however, is often assumed and rarely tested. Therefore, we surveyed sage‐grouse pellet occurrence and sagebrush‐associated songbird abundance in northwest Colorado, USA, to determine the amount of habitat overlap between sage‐grouse and 4 songbirds (Brewer's sparrow [Spizella breweri], sage thrasher [Oreoscoptes montanus], sagebrush sparrow [Artemisiospiza nevadensis]), and green‐tailed towhee [Pipilo chlorurus]). During May and June 2013–2015, we conducted standard point count breeding surveys for songbirds and counted sage‐grouse pellets within 300 10‐m radius plots. We modeled songbird abundance and sage‐grouse pellet occurrence with multi‐scaled environmental features, such as sagebrush cover and bare ground. To evaluate sage‐grouse as an umbrella for sagebrush‐associated passerines, we determined the correlation between probability of sage‐grouse pellet occurrence and model‐predicted songbird densities per sampling plot. We then classified the sage‐grouse probability of occurrence as high (probability >0.5) and low (probability ≤0.5) and mapped model‐predicted surfaces for each species in our study area. We determined average songbird density in areas of high and low probability of sage‐grouse occurrence. Sagebrush cover at intermediate scales was an important predictor for all species, and ground cover was important for all species except sage thrashers. Areas with a higher probability of sage‐grouse occurrence also contained higher densities of Brewer's sparrows, green‐tailed towhees, and sage thrashers, but predicted sagebrush sparrow densities were lower in these areas. In northwest Colorado, sage‐grouse may be an effective umbrella for Brewer's sparrows, green‐tailed towhees, and sage thrashers, but sage‐grouse habitat does not appear to capture areas that support high sagebrush sparrow densities. A multi‐species focus may be the best management and conservation strategy for several species of concern, especially those with conflicting habitat requirements.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21663","usgsCitation":"Timmer, J.M., Aldridge, C.L., and Fernandez-Gimenez, M., 2019, Managing for multiple species: Greater sage‐grouse and sagebrush songbirds: Journal of Wildlife Management, v. 83, no. 5, p. 1043-1056, https://doi.org/10.1002/jwmg.21663.","productDescription":"14 p.","startPage":"1043","endPage":"1056","ipdsId":"IP-104297","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":380700,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","county":"Moffat County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-107.3181,41.0035],[-107.3178,40.9852],[-107.3177,40.9789],[-107.3175,40.9707],[-107.3171,40.9503],[-107.317,40.9412],[-107.3173,40.929],[-107.3171,40.9145],[-107.3167,40.8596],[-107.3166,40.856],[-107.3157,40.8378],[-107.3145,40.7748],[-107.3144,40.7716],[-107.3131,40.7013],[-107.3131,40.699],[-107.3128,40.6854],[-107.3126,40.6723],[-107.3121,40.6142],[-107.3119,40.5997],[-107.3688,40.5996],[-107.3683,40.5429],[-107.427,40.5427],[-107.427,40.5132],[-107.4276,40.4238],[-107.4294,40.3612],[-107.4297,40.3467],[-107.43,40.3322],[-107.4402,40.3321],[-107.4382,40.2618],[-107.4389,40.2235],[-107.4396,40.219],[-107.7614,40.2214],[-107.8192,40.2211],[-107.8758,40.2207],[-107.8945,40.2209],[-107.9144,40.221],[-107.9523,40.2213],[-107.9891,40.2217],[-108.0084,40.2218],[-108.0855,40.2224],[-108.1042,40.2225],[-108.1626,40.2225],[-108.1819,40.2226],[-108.2011,40.2227],[-108.218,40.2229],[-108.2367,40.2225],[-108.256,40.2226],[-108.2945,40.2224],[-108.3313,40.2222],[-108.3891,40.2225],[-108.4083,40.2221],[-108.4445,40.2223],[-108.5023,40.2221],[-108.5216,40.2217],[-108.5577,40.2219],[-108.5975,40.2215],[-108.6553,40.2212],[-108.6692,40.2214],[-109.051,40.2228],[-109.0514,40.2608],[-109.0514,40.2753],[-109.0514,40.2844],[-109.0513,40.292],[-109.0512,40.3206],[-109.0509,40.3583],[-109.0509,40.3874],[-109.0509,40.4041],[-109.0508,40.419],[-109.0507,40.4491],[-109.0508,40.4636],[-109.0508,40.4713],[-109.0508,40.4767],[-109.0505,40.4931],[-109.0503,40.5317],[-109.0501,40.5774],[-109.0501,40.5793],[-109.0501,40.5933],[-109.0501,40.6096],[-109.0501,40.6515],[-109.0501,40.6545],[-109.0499,40.666],[-109.0501,40.6949],[-109.0499,40.7516],[-109.0499,40.7693],[-109.0498,40.7834],[-109.0497,40.824],[-109.0493,40.8433],[-109.0493,40.8453],[-109.0492,40.8587],[-109.0488,40.8866],[-109.0489,40.9036],[-109.0487,40.9107],[-109.049,40.9268],[-109.0488,40.9479],[-109.049,41],[-108.9729,41.0002],[-108.9315,41.0001],[-108.912,41.0001],[-108.7655,41.0002],[-108.746,41.0002],[-108.6516,41.0005],[-108.6321,41.0005],[-108.5699,41.0003],[-108.3781,40.9997],[-108.3745,40.9997],[-108.3118,41],[-108.2923,41.0001],[-108.263,41.0003],[-108.2186,41.0007],[-108.1808,41.001],[-108.0007,41.0025],[-107.966,41.0028],[-107.9154,41.0029],[-107.888,41.0029],[-107.8801,41.0029],[-107.8521,41.0029],[-107.8391,41.0028],[-107.8326,41.0028],[-107.8206,41.0028],[-107.8131,41.0028],[-107.7845,41.0028],[-107.7078,41.0028],[-107.6767,41.0028],[-107.6049,41.0028],[-107.5288,41.0026],[-107.5136,41.0026],[-107.5093,41.0026],[-107.4947,41.0026],[-107.4575,41.0027],[-107.4137,41.0029],[-107.3948,41.003],[-107.3674,41.0032],[-107.3437,41.0033],[-107.3181,41.0035]]]},\"properties\":{\"name\":\"Moffat\",\"state\":\"CO\"}}]}","volume":"83","issue":"5","noUsgsAuthors":false,"publicationDate":"2019-05-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Timmer, Jennifer M.","contributorId":140717,"corporation":false,"usgs":false,"family":"Timmer","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":805435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":805436,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fernandez-Gimenez, Maria E","contributorId":245143,"corporation":false,"usgs":false,"family":"Fernandez-Gimenez","given":"Maria E","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":805437,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70205440,"text":"70205440 - 2019 - Seismological, geological, and geotechnical engineering aspects of the 2018 MW 6.6 Hokkaido Eastern Iburi earthquake","interactions":[],"lastModifiedDate":"2019-09-19T09:35:12","indexId":"70205440","displayToPublicDate":"2019-05-13T09:27:57","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Seismological, geological, and geotechnical engineering aspects of the 2018 MW 6.6 Hokkaido Eastern Iburi earthquake","docAbstract":"The 2018 Hokkaido Eastern Iburi MW6.6 earthquake struck the southern coast of the north island of Japan in the early morning (3:08 AM JST) on September 6, 2018. The event had a hypocentral depth of 35 km, centered beneath the port city of Tomakomai. Extremely strong shaking with peak ground acceleration in excess of 0.5 g was felt in the communities directly north of Tomakomai, in the districts of Abira and Atsuma. There, a very high density of landslides occurred in pumices soil that affected the majority of slopes in the region above the floodplain. These landslides were typically a thin veneer of 1 to 3 m of recent (<9000 ybp) volcanic pumice mantling older Kawabata marine sedimentary rocks. The source of the pumice layers are recent eruptions from Mt. Tarumae, south of Shikotsu-ko Caldera lake. Several block megaslides were observed in the Kawabata marine unit. A flow failure resulting from soil collapse or liquefaction was observed in fill deposits placed in a residential community district of Kiyota ward in Sapporo. The community, Satozuka-1 is situated on a natural steep ravine that was filled with pumice soil to level construction area to a gently sloping landscape for housing construction. The flow failure consisted of lateral migration of soil from the upper slope regions of the community onto the surface of the lower community. The upper community topographically deflated as large quantities of fluidized soil flooded the lower streets.
","language":"English","publisher":"Geotechnical Extreme Events Reconnaissance Association (GEER)","doi":"10.18118/G6CM1K","usgsCitation":"Kayen, R., Wham, B., Grant, A.R., Atsushi, M., Anderson, D., Zimmaro, P., Wang, P., Tsai, Y.T., Bachhuber, J., Madugo, C.L., Sun, J., Hitchcock, C.S., and Motto, M., 2019, Seismological, geological, and geotechnical engineering aspects of the 2018 MW 6.6 Hokkaido Eastern Iburi earthquake, 105 p., https://doi.org/10.18118/G6CM1K.","productDescription":"105 p.","ipdsId":"IP-105842","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":367542,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Japan","otherGeospatial":"Hokkaido","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 139.306640625,\n 41.07935114946899\n ],\n [\n 146.162109375,\n 41.07935114946899\n ],\n [\n 146.162109375,\n 45.521743896993634\n ],\n [\n 139.306640625,\n 45.521743896993634\n ],\n [\n 139.306640625,\n 41.07935114946899\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kayen, Robert 0000-0002-0356-072X","orcid":"https://orcid.org/0000-0002-0356-072X","contributorId":219065,"corporation":false,"usgs":true,"family":"Kayen","given":"Robert","email":"","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":771186,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wham, Brad","contributorId":189777,"corporation":false,"usgs":false,"family":"Wham","given":"Brad","email":"","affiliations":[],"preferred":false,"id":771188,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grant, Alex R. 0000-0002-5096-4305","orcid":"https://orcid.org/0000-0002-5096-4305","contributorId":219066,"corporation":false,"usgs":true,"family":"Grant","given":"Alex","middleInitial":"R.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":771187,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Atsushi, Mikami","contributorId":219067,"corporation":false,"usgs":false,"family":"Atsushi","given":"Mikami","email":"","affiliations":[{"id":39955,"text":"Tokai University, Japan","active":true,"usgs":false}],"preferred":false,"id":771189,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, Donald","contributorId":189872,"corporation":false,"usgs":false,"family":"Anderson","given":"Donald","affiliations":[],"preferred":false,"id":771190,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zimmaro, Paolo","contributorId":219068,"corporation":false,"usgs":false,"family":"Zimmaro","given":"Paolo","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":771191,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wang, Pengfei","contributorId":217351,"corporation":false,"usgs":false,"family":"Wang","given":"Pengfei","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":771192,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Tsai, Yi Tyan","contributorId":219069,"corporation":false,"usgs":false,"family":"Tsai","given":"Yi","email":"","middleInitial":"Tyan","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":771193,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bachhuber, Jeff","contributorId":219070,"corporation":false,"usgs":false,"family":"Bachhuber","given":"Jeff","email":"","affiliations":[{"id":12624,"text":"PG&E","active":true,"usgs":false}],"preferred":false,"id":771194,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Madugo, Chris L M","contributorId":146602,"corporation":false,"usgs":false,"family":"Madugo","given":"Chris","email":"","middleInitial":"L M","affiliations":[{"id":13174,"text":"Pacific Gas & Electric","active":true,"usgs":false}],"preferred":false,"id":771195,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sun, Joseph","contributorId":217368,"corporation":false,"usgs":false,"family":"Sun","given":"Joseph","affiliations":[{"id":39608,"text":"Pacific Gas & Electric Company","active":true,"usgs":false}],"preferred":false,"id":771196,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hitchcock, Christopher S.","contributorId":173160,"corporation":false,"usgs":false,"family":"Hitchcock","given":"Christopher","email":"","middleInitial":"S.","affiliations":[{"id":27167,"text":"InfraTerra, Inc.","active":true,"usgs":false}],"preferred":false,"id":771197,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Motto, Matthew","contributorId":219071,"corporation":false,"usgs":false,"family":"Motto","given":"Matthew","email":"","affiliations":[{"id":39956,"text":"Infraterra","active":true,"usgs":false}],"preferred":false,"id":771198,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70205447,"text":"70205447 - 2019 - A comparative analysis of common methods to identify waterbird hotspots","interactions":[],"lastModifiedDate":"2019-09-18T18:19:42","indexId":"70205447","displayToPublicDate":"2019-05-11T18:13:33","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"A comparative analysis of common methods to identify waterbird hotspots","docAbstract":"1. Hotspot analysis is a commonly used method in ecology and conservation to identify areas of high biodiversity or conservation concern. However, delineating and mapping hotspots is subjective and various approaches can lead to different conclusions with regard to the classification of particular areas as hotspots, complicating long-term conservation planning and implementation efforts.
2. We present a comparative analysis of recent approaches for identifying waterbird hotspots, with the goal of developing insights about the appropriate use of these methods. We selected four commonly used measures to identify persistent areas of high use: kernel density estimation, Getis-Ord Gi*, hotspot persistence, and hotspots conditional on presence, which represent the range of quantitative hotspot estimation approaches used in waterbird analyses. We applied each of the methods to aerial survey waterbird count data collected in the Great Lakes from 2012-2014 using a 5 km2 grid. For each approach, we identified areas of high use for seven species/species groups and then compared the results across all methods.
3. Our results indicate that formal hotspot analysis frameworks do not always lead to the same conclusions. The kernel density and Getis-Ord Gi* methods yielded the most similar results across all species analyzed. We found that these two models can differ substantially from the hotspot persistence and hotspots conditional on presence estimation approaches, which were not consistently similar to one another. The hotspot persistence approach differed most significantly from the other methods but is the only method to explicitly account for temporal variation.
4. We recommend considering the ecological question and scale of any conservation or management activities prior to designing survey methodologies. Deciding the appropriate definition and scale for analysis is critical for interpretation of hotspot analysis results. Combining methods using an integrative approach, either within a single analysis or post-hoc, could lead to greater consistency in the identification of waterbird hotspots.
","language":"English","publisher":"British Ecological society","doi":"10.1111/2041-210X.13209","usgsCitation":"Sussman, A.L., Gardner, B., Adams, E.M., Salas, L., Kenow, K.P., Luukkonen, D.R., Monfils, M.J., Mueller, W.P., Williams, K.A., Leduc-Lapierre, M., and Zipkin, E.F., 2019, A comparative analysis of common methods to identify waterbird hotspots: Methods in Ecology and Evolution, v. 10, no. 9, p. 1454-1468, https://doi.org/10.1111/2041-210X.13209.","productDescription":"15 p.","startPage":"1454","endPage":"1468","ipdsId":"IP-091670","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":467621,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.13209","text":"Publisher Index Page"},{"id":367534,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Erie, Lake Huron, Lake Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.76953125,\n 41.21172151054787\n ],\n [\n -78.75,\n 41.21172151054787\n ],\n [\n -78.75,\n 46.164614496897094\n ],\n [\n -88.76953125,\n 46.164614496897094\n ],\n [\n -88.76953125,\n 41.21172151054787\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"9","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Sussman, Allison L.","contributorId":219074,"corporation":false,"usgs":false,"family":"Sussman","given":"Allison","email":"","middleInitial":"L.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":771216,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gardner, Beth","contributorId":91612,"corporation":false,"usgs":false,"family":"Gardner","given":"Beth","affiliations":[{"id":13553,"text":"University of Washington-Seattle","active":true,"usgs":false}],"preferred":false,"id":771217,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Evan M.","contributorId":139994,"corporation":false,"usgs":false,"family":"Adams","given":"Evan","email":"","middleInitial":"M.","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false}],"preferred":false,"id":771218,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Salas, Leo","contributorId":219075,"corporation":false,"usgs":false,"family":"Salas","given":"Leo","email":"","affiliations":[{"id":17734,"text":"Point Blue Conservation Science","active":true,"usgs":false}],"preferred":false,"id":771219,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kenow, Kevin P. 0000-0002-3062-5197 kkenow@usgs.gov","orcid":"https://orcid.org/0000-0002-3062-5197","contributorId":3339,"corporation":false,"usgs":true,"family":"Kenow","given":"Kevin","email":"kkenow@usgs.gov","middleInitial":"P.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":771215,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Luukkonen, David R.","contributorId":219076,"corporation":false,"usgs":false,"family":"Luukkonen","given":"David","email":"","middleInitial":"R.","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":771220,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Monfils, Michael J.","contributorId":219077,"corporation":false,"usgs":false,"family":"Monfils","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":39957,"text":"Michigan State University Extension","active":true,"usgs":false}],"preferred":false,"id":771221,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mueller, William P.","contributorId":219078,"corporation":false,"usgs":false,"family":"Mueller","given":"William","email":"","middleInitial":"P.","affiliations":[{"id":39958,"text":"Western Great Lakes Bird and Bat Observatory","active":true,"usgs":false}],"preferred":false,"id":771222,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Williams, Kate A.","contributorId":219079,"corporation":false,"usgs":false,"family":"Williams","given":"Kate","email":"","middleInitial":"A.","affiliations":[{"id":37436,"text":"Biodiversity Research Institute","active":true,"usgs":false}],"preferred":false,"id":771223,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Leduc-Lapierre, Michelle","contributorId":219080,"corporation":false,"usgs":false,"family":"Leduc-Lapierre","given":"Michelle","email":"","affiliations":[{"id":13509,"text":"Great Lakes Commission","active":true,"usgs":false}],"preferred":false,"id":771224,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Zipkin, Elise F. 0000-0003-4155-6139","orcid":"https://orcid.org/0000-0003-4155-6139","contributorId":192755,"corporation":false,"usgs":false,"family":"Zipkin","given":"Elise","email":"","middleInitial":"F.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":771225,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70203727,"text":"70203727 - 2019 - Identifying common decision problem elements for the management of emerging fungal diseases of wildlife","interactions":[],"lastModifiedDate":"2019-06-06T14:24:22","indexId":"70203727","displayToPublicDate":"2019-05-11T14:23:35","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3405,"text":"Society and Natural Resources","active":true,"publicationSubtype":{"id":10}},"title":"Identifying common decision problem elements for the management of emerging fungal diseases of wildlife","docAbstract":"Emerging infectious diseases (EIDs) of wildlife have characteristics that make them difficult to manage, leading to reactive and often ineffective management strategies. Currently, two fungal pathogens, Pseudogymnoascus destructans (Pd) and Batrachochytrium salamandrivorans (Bsal), are causing declines in novel host species. To improve the application of management strategies addressing the risk of these pathogens to North American wildlife, we queried wildlife managers about their concerns regarding managing populations of bats and amphibians potentially impacted by Pd and Bsal. Using these responses, we identified aspects of each decision problem that were shared across pathogens, regions and agencies – and found similarities in decision-problem elements for disease management. Reframing management problems as decisions can enable managers to identify similarities across EIDs, i.e. uncertainties within management actions, and improve reactive responses if proactive management is not possible. Such an approach recognizes context-specific constraints and identifies relevant uncertainties that must be reduced in developing a response.","language":"English","publisher":"Taylor and Francis","doi":"10.1080/08941920.2019.1610820","usgsCitation":"Bernard, R.F., and Campbell Grant, E.H., 2019, Identifying common decision problem elements for the management of emerging fungal diseases of wildlife: Society and Natural Resources, v. 32, no. 9, p. 1040-1055, https://doi.org/10.1080/08941920.2019.1610820.","productDescription":"16 p.","startPage":"1040","endPage":"1055","ipdsId":"IP-095794","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":364470,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364469,"type":{"id":15,"text":"Index Page"},"url":"https://www.tandfonline.com/doi/full/10.1080/08941920.2019.1610820"}],"volume":"32","issue":"9","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Bernard, R. F.","contributorId":216081,"corporation":false,"usgs":false,"family":"Bernard","given":"R.","email":"","middleInitial":"F.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":763838,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":763837,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70203819,"text":"70203819 - 2019 - Emperor geese (Anser canagicus) are exposed to a diversity of influenza A viruses, are infected during the non-breeding period and contribute to intercontinental viral dispersal","interactions":[],"lastModifiedDate":"2019-09-16T12:18:04","indexId":"70203819","displayToPublicDate":"2019-05-11T11:22:32","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3849,"text":"Transboundary and Emerging Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Emperor geese (Anser canagicus) are exposed to a diversity of influenza A viruses, are infected during the non‐breeding period and contribute to intercontinental viral dispersal","title":"Emperor geese (Anser canagicus) are exposed to a diversity of influenza A viruses, are infected during the non-breeding period and contribute to intercontinental viral dispersal","docAbstract":"Emperor geese (Anser canagicus) are endemic to coastal areas within Beringia and have previously been found to have antibodies to or to be infected with influenza A viruses (IAVs) in Alaska. In this study, we use virological, serological and tracking data to further elucidate the role of emperor geese in the ecology of IAVs in Beringia during the non‐breeding period. Specifically, we assess evidence for: (a) active IAV infection during spring staging, autumn staging and wintering periods; (b) infection with novel Eurasian‐origin or interhemispheric reassortant viruses; (c) contemporary movement of geese between East Asia and North America; (d) previous exposure to viruses of 14 haemagglutinin subtypes, including Eurasian lineage highly pathogenic (HP) H5 IAVs; and (e) subtype‐specific antibody seroconversion and seroreversion. Emperor geese were found to shed IAVs, including interhemispheric reassortant viruses, throughout the non‐breeding period; migrate between Alaska and the Russian Far East prior to and following remigial moult; have antibodies reactive to a diversity of IAVs including, in a few instances, Eurasian lineage HP H5 IAVs; and exhibit relatively broad and stable patterns of population immunity among breeding females. Results of this study suggest that emperor geese may play an important role in the maintenance and dispersal of IAVs within Beringia during the non‐breeding period and provide information that may be used to further optimize surveillance activities focused on the early detection of Eurasian‐origin IAVs in North America.
","language":"English","publisher":"Wiley","doi":"10.1111/tbed.13226","usgsCitation":"Ramey, A.M., Uher-Koch, B.D., Reeves, A.B., Schmutz, J.A., Poulson, R., and Stallknecht, D.E., 2019, Emperor geese (Anser canagicus) are exposed to a diversity of influenza A viruses, are infected during the non-breeding period and contribute to intercontinental viral dispersal: Transboundary and Emerging Diseases, v. 66, no. 5, p. 1958-1970, https://doi.org/10.1111/tbed.13226.","productDescription":"13 P.","startPage":"1958","endPage":"1970","ipdsId":"IP-106647","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":467622,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/tbed.13226","text":"Publisher Index Page"},{"id":437465,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VFN3JD","text":"USGS data release","linkHelpText":"Influenza A Virus Data from Emperor Geese, Alaska"},{"id":364698,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russia, United States","state":"Alaska","volume":"66","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":764260,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Uher-Koch, Brian D. 0000-0002-1885-0260 buher-koch@usgs.gov","orcid":"https://orcid.org/0000-0002-1885-0260","contributorId":5117,"corporation":false,"usgs":true,"family":"Uher-Koch","given":"Brian","email":"buher-koch@usgs.gov","middleInitial":"D.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":764261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reeves, Andrew B. 0000-0002-7526-0726 areeves@usgs.gov","orcid":"https://orcid.org/0000-0002-7526-0726","contributorId":167362,"corporation":false,"usgs":true,"family":"Reeves","given":"Andrew","email":"areeves@usgs.gov","middleInitial":"B.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":764262,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmutz, Joel A. 0000-0002-6516-0836 jschmutz@usgs.gov","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":1805,"corporation":false,"usgs":true,"family":"Schmutz","given":"Joel","email":"jschmutz@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":764263,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Poulson, Rebecca L.","contributorId":198807,"corporation":false,"usgs":false,"family":"Poulson","given":"Rebecca L.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":764264,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stallknecht, David E.","contributorId":14323,"corporation":false,"usgs":false,"family":"Stallknecht","given":"David","email":"","middleInitial":"E.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":764265,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70259298,"text":"70259298 - 2019 - Geology of the Lassen Country","interactions":[],"lastModifiedDate":"2024-10-03T15:44:32.194291","indexId":"70259298","displayToPublicDate":"2019-05-11T10:41:05","publicationYear":"2019","noYear":false,"publicationType":{"id":4,"text":"Book"},"publicationSubtype":{"id":15,"text":"Monograph"},"title":"Geology of the Lassen Country","docAbstract":"No abstract available.
","language":"English","publisher":"Backcountry Press","usgsCitation":"Hopson, R., and Clynne, M.A., 2019, Geology of the Lassen Country, 168 p.","productDescription":"168 p.","ipdsId":"IP-083426","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":462545,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hopson, R.F.","contributorId":77379,"corporation":false,"usgs":true,"family":"Hopson","given":"R.F.","email":"","affiliations":[],"preferred":false,"id":914824,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clynne, Michael A. 0000-0002-4220-2968 mclynne@usgs.gov","orcid":"https://orcid.org/0000-0002-4220-2968","contributorId":2032,"corporation":false,"usgs":true,"family":"Clynne","given":"Michael","email":"mclynne@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":914825,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70210223,"text":"70210223 - 2019 - Microbial assemblages reflect environmental heterogeneity in alpine streams","interactions":[],"lastModifiedDate":"2020-05-21T14:23:46.94455","indexId":"70210223","displayToPublicDate":"2019-05-11T09:20:48","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Microbial assemblages reflect environmental heterogeneity in alpine streams","docAbstract":"Alpine streams are dynamic habitats harboring substantial biodiversity across small spatial extents. The diversity of alpine stream biota is largely reflective of environmental heterogeneity stemming from varying hydrological sources. Globally, alpine stream diversity is under threat as meltwater sources recede and stream conditions become increasingly homogeneous. Much attention has been devoted to macroinvertebrate diversity in alpine headwaters, yet to fully understand the breadth of climate change threats, a more thorough accounting of microbial diversity is needed. We characterized microbial diversity (specifically Bacteria and Archaea) of 13 streams in two disjunct Rocky Mountain subranges through 16S rRNA gene sequencing. Our study encompassed the spectrum of alpine stream sources (glaciers, snowfields, subterranean ice, and groundwater) and three microhabitats (ice, biofilms, and streamwater). We observed no difference in regional (γ) diversity between subranges but substantial differences in diversity among (β) stream types and microhabitats. Within‐stream (α) diversity was highest in groundwater‐fed springs, lowest in glacier‐fed streams, and positively correlated with water temperature for both streamwater and biofilm assemblages. We identified an underappreciated alpine stream type—the icy seep—that are fed by subterranean ice, exhibit cold temperatures (summer mean <2°C), moderate bed stability, and relatively high conductivity. Icy seeps will likely be important for combatting biodiversity losses as they contain similar microbial assemblages to streams fed by surface ice yet may be buffered against climate change by insulating debris cover. Our results show that the patterns of microbial diversity support an ominous trend for alpine stream biodiversity; as meltwater sources decline, stream communities will become more diverse locally, but regional diversity will be lost. Icy seeps, however, represent a source of optimism for the future of biodiversity in these imperiled ecosystems.","language":"English","publisher":"Wiley","doi":"10.1111/gcb.14683","usgsCitation":"Hotaling, S., Foley, M., Zeglin, L., Finn, D.S., Tronstad, L., Giersch, J.J., Muhlfeld, C.C., and Weisrock, D.W., 2019, Microbial assemblages reflect environmental heterogeneity in alpine streams: Global Change Biology, v. 25, no. 8, p. 2576-2590, https://doi.org/10.1111/gcb.14683.","productDescription":"15 p.","startPage":"2576","endPage":"2590","ipdsId":"IP-105125","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":374985,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Glacier National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.11474609375001,\n 47.07386310181414\n ],\n [\n -112.30224609374999,\n 47.07386310181414\n ],\n [\n -112.30224609374999,\n 49.001843917978526\n ],\n [\n -115.11474609375001,\n 49.001843917978526\n ],\n [\n -115.11474609375001,\n 47.07386310181414\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"25","issue":"8","noUsgsAuthors":false,"publicationDate":"2019-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Hotaling, Scott","contributorId":202050,"corporation":false,"usgs":false,"family":"Hotaling","given":"Scott","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":789623,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foley, Mary E.","contributorId":224817,"corporation":false,"usgs":false,"family":"Foley","given":"Mary E.","affiliations":[{"id":40945,"text":"Department of Biology, University of Kentucky, Lexington, KY, USA","active":true,"usgs":false}],"preferred":false,"id":789624,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zeglin, Lydia","contributorId":224818,"corporation":false,"usgs":false,"family":"Zeglin","given":"Lydia","affiliations":[{"id":40946,"text":"Division of Biology, Kansas State University, Manhattan, KS, USA","active":true,"usgs":false}],"preferred":false,"id":789625,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Finn, Debra S.","contributorId":198312,"corporation":false,"usgs":false,"family":"Finn","given":"Debra","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":789626,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tronstad, Lusha M.","contributorId":224819,"corporation":false,"usgs":false,"family":"Tronstad","given":"Lusha M.","affiliations":[{"id":40947,"text":"Wyoming Natural Diversity Database, University of Wyoming, Laramie, WY, USA","active":true,"usgs":false}],"preferred":false,"id":789627,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Giersch, J. Joseph 0000-0001-7818-3941 jgiersch@usgs.gov","orcid":"https://orcid.org/0000-0001-7818-3941","contributorId":198074,"corporation":false,"usgs":true,"family":"Giersch","given":"J.","email":"jgiersch@usgs.gov","middleInitial":"Joseph","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":789628,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":789629,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Weisrock, David W.","contributorId":198313,"corporation":false,"usgs":false,"family":"Weisrock","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":789630,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70203937,"text":"70203937 - 2019 - Postfire population dynamics of a fire-dependent cypress","interactions":[],"lastModifiedDate":"2019-06-24T16:09:30","indexId":"70203937","displayToPublicDate":"2019-05-10T15:58:42","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3086,"text":"Plant Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Postfire population dynamics of a fire-dependent cypress","docAbstract":"Tecate cypress (Hesperocyparis forbesii) is a rare species restricted to four metapopulations in southern California, USA and a few isolated stands in northern Baja California, Mexico. It is a closed-cone, fire-dependent tree of conservation concern due to an increase in human-caused wildfires that have shortened the interval between fires in many of their populations. In 2003 the Mine/Otay Fire burned 70% of the Tecate cypress on Otay Mountain in San Diego County, California providing an opportunity to evaluate the immaturity risk of this species and to examine its recruitment, survivorship, and reproductive maturity over a 14-year period from 2004 to 2017. Sixteen plots were established in burned stands of Tecate cypress with prefire ages that ranged from 7 to 53 years old. After 14 years the overall density of Tecate cypress was still higher than before the fire, however the areal extent of the species decreased due to the loss of locations where either there was low cone production or fire intensity was too high. The immaturity risk for this species, while a function of prefire stand age, is confounded by other factors including the reproductive capacities of trees based on their density and size and the climatic variables affecting their growth over time. The future management of Tecate cypress and other fire-dependent species requires a knowledge of all factors impacting their immaturity risk, as well as an understanding of the potential fire-climate interactions that may impact their persistence in a future of climate change and altered fire regimes.
","language":"English","publisher":"Springer Netherlands","doi":"10.1007/s11258-019-00939-8","usgsCitation":"Brennan, T.J., and Keeley, J., 2019, Postfire population dynamics of a fire-dependent cypress: Plant Ecology, v. 220, no. 6, p. 605-617, https://doi.org/10.1007/s11258-019-00939-8.","productDescription":"13 p.","startPage":"605","endPage":"617","ipdsId":"IP-095348","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":437466,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RO7USR","text":"USGS data release","linkHelpText":"Demographic data for Hesperocyparis forbesii on Otay Mountain 2004-2017"},{"id":364967,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Guatay Mountain, Otay Mountain, Sierra Peak, Tecate Peak","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.68056869506836,\n 33.835488444433565\n ],\n [\n -117.63198852539062,\n 33.835488444433565\n ],\n [\n -117.63198852539062,\n 33.865854454071865\n ],\n [\n -117.68056869506836,\n 33.865854454071865\n ],\n [\n -117.68056869506836,\n 33.835488444433565\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.9110107421875,\n 32.56186095435066\n ],\n [\n -116.76406860351561,\n 32.56186095435066\n ],\n [\n -116.76406860351561,\n 32.64284407703449\n ],\n [\n -116.9110107421875,\n 32.64284407703449\n ],\n [\n -116.9110107421875,\n 32.56186095435066\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.72046661376953,\n 32.57488103574348\n ],\n [\n -116.66107177734375,\n 32.57488103574348\n ],\n [\n -116.66107177734375,\n 32.61132720713442\n ],\n [\n -116.72046661376953,\n 32.61132720713442\n ],\n [\n -116.72046661376953,\n 32.57488103574348\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.59721374511719,\n 32.82017191140528\n ],\n [\n -116.53472900390625,\n 32.82017191140528\n ],\n [\n -116.53472900390625,\n 32.85594120414512\n ],\n [\n -116.59721374511719,\n 32.85594120414512\n ],\n [\n -116.59721374511719,\n 32.82017191140528\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"220","issue":"6","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Brennan, Teresa J. 0000-0002-0646-3298 tjbrennan@usgs.gov","orcid":"https://orcid.org/0000-0002-0646-3298","contributorId":4323,"corporation":false,"usgs":true,"family":"Brennan","given":"Teresa","email":"tjbrennan@usgs.gov","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":764846,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keeley, Jon","contributorId":216484,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":764845,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70203601,"text":"70203601 - 2019 - Eradication of two non-native cichlid fishes in Miami, Florida (USA)","interactions":[],"lastModifiedDate":"2019-06-12T13:15:57","indexId":"70203601","displayToPublicDate":"2019-05-10T14:52:34","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Eradication of two non-native cichlid fishes in Miami, Florida (USA)","docAbstract":"The proliferation of non-native fishes in Florida is a serious problem, and new species continue to be introduced to the state. Fishes in the Family Cichlidae have been especially successful colonizers of south Florida freshwater habitats. Herein we report a multi-agency effort to eradicate two non-native cichlid fishes in Miami, Florida (Bay Snook Petenia splendida and Blue Mbuna Labeotropheus fuelleborni). These fishes were removed before they were observed in the extensive, interconnected canal system through which they may have been able to expand throughout south Florida and access protected areas such as Everglades National Park. The study site, Pinecrest Gardens, is important because it contains remnant coastal cypress-strand habitat in an increasingly urbanized landscape that historically provided refuge to native amphidromous fishes and invertebrates. The project took considerable time (3.5 years), and we detail in this report how it evolved from a focus on isolating the non-native fishes and reducing their population sizes to an eradication. Gardens’ staff hydrologically isolated their ponds from nearby waterbodies by plugging a culvert with a solid gate. That provided the interagency team with more time to remove the potential threats. Compromises were made between fish management strategies and the Gardens’ priorities. Hurricane impacts helped shift priorities to more aggressive fish-management strategies. Cooperation among several federal and state agencies, as well as the Gardens, was key to the project’s success. We hope this effort may serve as a model for removing non-native species before they spread into ecosystems where eradication is not practical.","language":"English","publisher":"REABIC","doi":"10.3391/mbi.2019.10.2.06","usgsCitation":"Schofield, P.J., Jelks, H.L., and Gestring, K.B., 2019, Eradication of two non-native cichlid fishes in Miami, Florida (USA): Management of Biological Invasions, v. 10, no. 2, p. 296-310, https://doi.org/10.3391/mbi.2019.10.2.06.","productDescription":"15 p.","startPage":"296","endPage":"310","ipdsId":"IP-097111","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":467623,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2019.10.2.06","text":"Publisher Index Page"},{"id":437467,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EWSGZB","text":"USGS data release","linkHelpText":"Removing threats before they spread: Eradication of two non-native fishes in Miami, Florida (USA)"},{"id":364130,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","county":"Miami-Dade County","city":"Miami","volume":"10","issue":"2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schofield, Pamela J. 0000-0002-8752-2797 pschofield@usgs.gov","orcid":"https://orcid.org/0000-0002-8752-2797","contributorId":168659,"corporation":false,"usgs":true,"family":"Schofield","given":"Pamela","email":"pschofield@usgs.gov","middleInitial":"J.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":763227,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jelks, Howard L. 0000-0002-0672-6297 hjelks@usgs.gov","orcid":"https://orcid.org/0000-0002-0672-6297","contributorId":168997,"corporation":false,"usgs":true,"family":"Jelks","given":"Howard","email":"hjelks@usgs.gov","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":763228,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gestring, Kelly B.","contributorId":210849,"corporation":false,"usgs":false,"family":"Gestring","given":"Kelly","email":"","middleInitial":"B.","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":763229,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70204238,"text":"70204238 - 2019 - A comparison of chlorophyll a values obtained from an autonomous underwater vehicle to satellite-based measures for Lake Michigan","interactions":[],"lastModifiedDate":"2019-08-13T15:39:03","indexId":"70204238","displayToPublicDate":"2019-05-10T10:18:22","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of chlorophyll a values obtained from an autonomous underwater vehicle to satellite-based measures for Lake Michigan","docAbstract":"Accurate methods to track changes in lake productivity through time and space are critical to fisheries management. Chlorophyll a is the most widely studied proxy for ecosystem primary production, and has been the topic of many studies. The main sources of chlorophyll a measurements are ship-based measures or multi-spectral satellite data. Autonomous underwater vehicles can survey large spatial extents approaching the scale of satellite data, but with the accuracy of ship-based water sampling methods. We use several statistical measures to compare measures of chlorophyll a collected in Lake Michigan with spatiotemporally matched satellite-derived measures of chlorophyll a from the MODIS Aqua multi-spectral sensor using NASA’s OC3 and the Great Lakes Fit algorithms. Our findings show a near one to one relationship between AUV data and both satellite-derived data sets when the AUV data are coarsened to the resolution of the satellite data. A comparison of satellite-based chlorophyll a to AUV-derived chlorophyll summarized in discrete water depth bins suggested that, based on decreasing coefficients of determination, satellite estimates of chlorophyll accounted for the most variability in chlorophyll a concentrations in the upper 10 m of the water column, even though satellite sensors may detect past this depth.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2019.04.003","usgsCitation":"Bennion, D., Warner, D., Esselman, P., Hobson, B., and Kieft, B., 2019, A comparison of chlorophyll a values obtained from an autonomous underwater vehicle to satellite-based measures for Lake Michigan: Journal of Great Lakes Research, v. 45, no. 4, p. 726-734, https://doi.org/10.1016/j.jglr.2019.04.003.","productDescription":"9 p.","startPage":"726","endPage":"734","ipdsId":"IP-096378","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":467624,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2019.04.003","text":"Publisher Index Page"},{"id":365575,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.6436767578125,\n 45.69083283645816\n ],\n [\n -86.517333984375,\n 45.84410779560204\n ],\n [\n -86.50634765625,\n 45.897654534346906\n ],\n [\n -86.5338134765625,\n 45.909122123907295\n ],\n [\n -86.59423828125,\n 45.909122123907295\n ],\n [\n -86.66015624999999,\n 45.882360730184025\n ],\n [\n -86.68212890625,\n 45.87088761346192\n ],\n [\n -86.759033203125,\n 45.897654534346906\n ],\n [\n -86.802978515625,\n 45.863237552964364\n ],\n [\n -86.81396484375,\n 45.805828539928356\n ],\n [\n -86.81396484375,\n 45.77135470445038\n ],\n [\n -86.85791015625,\n 45.74069339553309\n ],\n [\n -86.9622802734375,\n 45.72152152227954\n ],\n [\n -86.956787109375,\n 45.763690956618674\n ],\n [\n -86.9732666015625,\n 45.81348649679973\n ],\n [\n -86.94580078125,\n 45.85941212790755\n ],\n [\n -86.9073486328125,\n 45.897654534346906\n ],\n [\n -86.9293212890625,\n 45.93969078234\n ],\n [\n -86.99523925781249,\n 45.932050196856295\n ],\n [\n -87.044677734375,\n 45.88618457602257\n ],\n [\n -87.07763671875,\n 45.82114340079471\n ],\n [\n -87.099609375,\n 45.775186183521036\n ],\n [\n -87.110595703125,\n 45.72535642341016\n ],\n [\n -87.264404296875,\n 45.598665689820635\n ],\n [\n -87.3797607421875,\n 45.463983441272724\n ],\n [\n -87.4072265625,\n 45.386877348270374\n ],\n [\n -87.5445556640625,\n 45.24395342262324\n ],\n [\n -87.6324462890625,\n 45.12392881616326\n ],\n [\n -87.6544189453125,\n 44.999767019181284\n ],\n [\n -87.7862548828125,\n 44.98034238084973\n ],\n [\n -87.86865234374999,\n 44.96479793033101\n ],\n [\n -87.857666015625,\n 44.902577996288876\n ],\n [\n -87.879638671875,\n 44.87533557756195\n ],\n [\n -87.91259765625,\n 44.809121700077355\n ],\n [\n -87.989501953125,\n 44.750634493861064\n ],\n [\n -88.00048828124999,\n 44.692088041727786\n ],\n [\n -88.033447265625,\n 44.62175409623324\n ],\n [\n -88.0609130859375,\n 44.55916341529182\n ],\n [\n -88.0279541015625,\n 44.52001001133986\n ],\n [\n -87.923583984375,\n 44.51609322284931\n ],\n [\n -87.8741455078125,\n 44.54742015866826\n ],\n [\n -87.835693359375,\n 44.59829048984011\n ],\n [\n -87.7972412109375,\n 44.62175409623324\n ],\n [\n -87.69287109375,\n 44.680371641890375\n ],\n [\n -87.681884765625,\n 44.73892994307368\n ],\n [\n -87.64892578125,\n 44.75453548416007\n ],\n [\n -87.5885009765625,\n 44.83249999349062\n ],\n [\n -87.4566650390625,\n 44.84029065139799\n ],\n [\n -87.3797607421875,\n 44.91813929958515\n ],\n [\n -87.3248291015625,\n 44.953136827528816\n ],\n [\n -87.29187011718749,\n 45.01918507438176\n ],\n [\n -87.2479248046875,\n 45.07739974122637\n ],\n [\n -87.23693847656249,\n 45.13555516012536\n ],\n [\n -87.1490478515625,\n 45.14717913418674\n ],\n [\n -87.099609375,\n 45.22848059584359\n ],\n [\n -87.0281982421875,\n 45.24782097102814\n ],\n [\n -87.0941162109375,\n 45.127804527473224\n ],\n [\n -87.18200683593749,\n 45.04635929200553\n ],\n [\n -87.2039794921875,\n 44.96479793033101\n ],\n [\n -87.29736328125,\n 44.824708282300236\n ],\n [\n -87.4017333984375,\n 44.70770622183535\n ],\n [\n -87.451171875,\n 44.60220174915696\n ],\n [\n -87.4951171875,\n 44.50434127765394\n ],\n [\n -87.57202148437499,\n 44.35527821160296\n ],\n [\n -87.56103515625,\n 44.268804788566165\n ],\n [\n -87.53356933593749,\n 44.209772586984485\n ],\n [\n -87.5665283203125,\n 44.17038488259618\n ],\n [\n -87.659912109375,\n 44.11914151643737\n ],\n [\n -87.703857421875,\n 44.008620115415354\n ],\n [\n -87.7532958984375,\n 43.91768033000405\n ],\n [\n -87.7642822265625,\n 43.83452678223682\n ],\n [\n -87.7587890625,\n 43.8028187190472\n ],\n [\n -87.7423095703125,\n 43.723474896114794\n ],\n [\n -87.7587890625,\n 43.67581809328341\n ],\n [\n -87.802734375,\n 43.600284023536325\n ],\n [\n -87.8521728515625,\n 43.51270490464819\n ],\n [\n -87.8741455078125,\n 43.46089378008257\n ],\n [\n -87.901611328125,\n 43.32118142926661\n ],\n [\n -87.9345703125,\n 43.229195113965005\n ],\n [\n -87.923583984375,\n 43.17313537107136\n ],\n [\n -87.923583984375,\n 43.06487470411881\n ],\n [\n -87.91259765625,\n 43.01669737169671\n ],\n [\n -87.901611328125,\n 42.94436044696629\n ],\n [\n -87.8411865234375,\n 42.84375132629021\n ],\n [\n -87.791748046875,\n 42.771211138625894\n ],\n [\n -87.8411865234375,\n 42.67031977251906\n ],\n [\n -87.8466796875,\n 42.5733097370664\n ],\n [\n -87.835693359375,\n 42.439674178149424\n ],\n [\n -87.8631591796875,\n 42.35854391749705\n ],\n [\n -87.86865234374999,\n 42.26511445833756\n ],\n [\n -87.835693359375,\n 42.167475010395336\n ],\n [\n -87.7093505859375,\n 42.0615286181226\n ],\n [\n -87.637939453125,\n 41.881831370505594\n ],\n [\n -87.6104736328125,\n 41.76721469421018\n ],\n [\n -87.51708984375,\n 41.66060124302088\n ],\n [\n -87.29736328125,\n 41.60312076451184\n ],\n [\n -87.1710205078125,\n 41.60312076451184\n ],\n [\n -87.0611572265625,\n 41.64828831259533\n ],\n [\n -86.868896484375,\n 41.72623044860004\n ],\n [\n -86.671142578125,\n 41.79179268262892\n ],\n [\n -86.572265625,\n 41.88592102814744\n ],\n [\n -86.484375,\n 42.02481360781777\n ],\n [\n -86.429443359375,\n 42.12267315117256\n ],\n [\n -86.3140869140625,\n 42.24478535602799\n ],\n [\n -86.2591552734375,\n 42.36260292171998\n ],\n [\n -86.209716796875,\n 42.508552415528634\n ],\n [\n -86.187744140625,\n 42.68647341541784\n ],\n [\n -86.187744140625,\n 42.84375132629021\n ],\n [\n -86.1822509765625,\n 42.93631775765237\n ],\n [\n -86.19873046875,\n 43.09697190802465\n ],\n [\n -86.253662109375,\n 43.137069765760344\n ],\n [\n -86.32507324218749,\n 43.257205668363206\n ],\n [\n -86.36352539062499,\n 43.35314407444698\n ],\n [\n -86.45690917968749,\n 43.51668853502906\n ],\n [\n -86.495361328125,\n 43.636075155965784\n ],\n [\n -86.4788818359375,\n 43.69965122967144\n ],\n [\n -86.4129638671875,\n 43.76712702120528\n ],\n [\n -86.385498046875,\n 43.9058083561574\n ],\n [\n -86.4404296875,\n 43.96514454266273\n ],\n [\n -86.46240234375,\n 44.05601169578525\n ],\n [\n -86.37451171875,\n 44.16250418310723\n ],\n [\n -86.28662109375,\n 44.268804788566165\n ],\n [\n -86.2261962890625,\n 44.37098696297173\n ],\n [\n -86.220703125,\n 44.41808794374846\n ],\n [\n -86.209716796875,\n 44.50042343601631\n ],\n [\n -86.1822509765625,\n 44.56307730757893\n ],\n [\n -86.209716796875,\n 44.653024159812\n ],\n [\n -86.2042236328125,\n 44.68818283842486\n ],\n [\n -86.12182617187499,\n 44.70770622183535\n ],\n [\n -86.077880859375,\n 44.727223022457416\n ],\n [\n -86.0394287109375,\n 44.78573392716592\n ],\n [\n -86.0394287109375,\n 44.84029065139799\n ],\n [\n -85.946044921875,\n 44.82860426955568\n ],\n [\n -85.8966064453125,\n 44.84418558537004\n ],\n [\n -85.89111328125,\n 44.92591837128866\n ],\n [\n -85.8746337890625,\n 44.89479576469787\n ],\n [\n -85.7427978515625,\n 44.9609111593886\n ],\n [\n -85.71533203125,\n 45.00365115687186\n ],\n [\n -85.660400390625,\n 45.058001435398275\n ],\n [\n -85.63842773437499,\n 45.11230010229608\n ],\n [\n -85.6329345703125,\n 45.02695045318546\n ],\n [\n -85.6494140625,\n 44.98811302615805\n ],\n [\n -85.6549072265625,\n 44.941473354802504\n ],\n [\n -85.6658935546875,\n 44.85586880735725\n ],\n [\n -85.6658935546875,\n 44.80132682904856\n ],\n [\n -85.6439208984375,\n 44.75453548416007\n ],\n [\n -85.5780029296875,\n 44.731125592643274\n ],\n [\n -85.5120849609375,\n 44.74673324024678\n ],\n [\n -85.4132080078125,\n 44.80522439622254\n ],\n [\n -85.3692626953125,\n 44.914249368747086\n ],\n [\n -85.3253173828125,\n 45.023067895446175\n ],\n [\n -85.3253173828125,\n 45.10454630976873\n ],\n [\n -85.3363037109375,\n 45.20139301126898\n ],\n [\n -85.2923583984375,\n 45.26715476332791\n ],\n [\n -85.1934814453125,\n 45.321254361171476\n ],\n [\n -85.1385498046875,\n 45.34056313889858\n ],\n [\n -85.10009765625,\n 45.336701909968134\n ],\n [\n -85.0341796875,\n 45.33284041773058\n ],\n [\n -84.90234375,\n 45.37530235052552\n ],\n [\n -84.83642578125,\n 45.41002023463975\n ],\n [\n -84.92431640625,\n 45.433153642271385\n ],\n [\n -85.0396728515625,\n 45.463983441272724\n ],\n [\n -85.0836181640625,\n 45.52944081525666\n ],\n [\n -85.06164550781249,\n 45.57944511437787\n ],\n [\n -85.001220703125,\n 45.625563438215984\n ],\n [\n -84.9462890625,\n 45.68315803253308\n ],\n [\n -84.8968505859375,\n 45.72535642341016\n ],\n [\n -84.7760009765625,\n 45.729191061299915\n ],\n [\n -84.72656249999999,\n 45.775186183521036\n ],\n [\n -84.72656249999999,\n 45.85558643964395\n ],\n [\n -84.78149414062499,\n 45.897654534346906\n ],\n [\n -84.825439453125,\n 45.95496879511337\n ],\n [\n -84.92431640625,\n 45.99696161820381\n ],\n [\n -85.0396728515625,\n 46.0465484463062\n ],\n [\n -85.26489257812499,\n 46.10751733820335\n ],\n [\n -85.45166015624999,\n 46.12274903582433\n ],\n [\n -85.53955078125,\n 46.10751733820335\n ],\n [\n -85.60546875,\n 46.06560846138691\n ],\n [\n -85.6549072265625,\n 45.99314540468519\n ],\n [\n -85.726318359375,\n 45.98932892799953\n ],\n [\n -85.84716796875,\n 45.98932892799953\n ],\n [\n -85.9405517578125,\n 45.97406038956237\n ],\n [\n -85.9954833984375,\n 46.0007775685566\n ],\n [\n -86.165771484375,\n 45.97406038956237\n ],\n [\n -86.28662109375,\n 45.96260622242165\n ],\n [\n -86.3525390625,\n 45.90147732739488\n ],\n [\n -86.36352539062499,\n 45.82114340079471\n ],\n [\n -86.495361328125,\n 45.79050946752472\n ],\n [\n -86.6436767578125,\n 45.69083283645816\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"45","issue":"4","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bennion, David 0000-0003-4927-4195 dbennion@usgs.gov","orcid":"https://orcid.org/0000-0003-4927-4195","contributorId":149533,"corporation":false,"usgs":true,"family":"Bennion","given":"David","email":"dbennion@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":766120,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warner, David 0000-0003-4939-5368","orcid":"https://orcid.org/0000-0003-4939-5368","contributorId":216543,"corporation":false,"usgs":true,"family":"Warner","given":"David","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":766121,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Esselman, Peter C. 0000-0002-0085-903X","orcid":"https://orcid.org/0000-0002-0085-903X","contributorId":204291,"corporation":false,"usgs":true,"family":"Esselman","given":"Peter C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":766122,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hobson, Brett","contributorId":216922,"corporation":false,"usgs":false,"family":"Hobson","given":"Brett","email":"","affiliations":[{"id":37324,"text":"Monterey Bay Aquarium Research Institute","active":true,"usgs":false}],"preferred":false,"id":766173,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kieft, Brian","contributorId":216923,"corporation":false,"usgs":false,"family":"Kieft","given":"Brian","email":"","affiliations":[{"id":37324,"text":"Monterey Bay Aquarium Research Institute","active":true,"usgs":false}],"preferred":false,"id":766174,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70203446,"text":"70203446 - 2019 - Responses of Native American cultural heritage to changes in environmental setting","interactions":[],"lastModifiedDate":"2020-12-08T17:58:35.644759","indexId":"70203446","displayToPublicDate":"2019-05-10T08:38:32","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5832,"text":"AlterNative: An International Journal of Indigenous Peoples","active":true,"publicationSubtype":{"id":10}},"title":"Responses of Native American cultural heritage to changes in environmental setting","docAbstract":"Cultural expressions of American Indian and Alaska Natives (AIAN) reflect the relationship between AIAN and the plant and animal species present in an area. Different forces that modify that relationship and influence those expressions can potentially shape AIAN cultural heritage and even compromise their cultural identity. Herein, we propose seven modalities to illustrate how AIAN cultural expressions may respond to changes in environmental settings that alter the relationship between plant and animal assemblages, and Native peoples. Each modality provides insight into the vulnerability, resilience, and adaptive capacity of AIAN cultural expressions to changes in environmental settings. Future research may delve deeper into these modalities and help identify appropriate methods for managing culturally important resources. More culturally sensitive management approaches may strengthen conservation practices and safeguard the cultural legacy of indigenous groups.","language":"English","publisher":"SAGE","doi":"10.1177/1177180119847726","usgsCitation":"Bisbal, G.A., and Jones, C.E., 2019, Responses of Native American cultural heritage to changes in environmental setting: AlterNative: An International Journal of Indigenous Peoples, v. 15, no. 4, p. 359-367, https://doi.org/10.1177/1177180119847726.","productDescription":"9 p.","startPage":"359","endPage":"367","ipdsId":"IP-097225","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":363813,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Bisbal, Gustavo A. 0000-0002-6674-9941","orcid":"https://orcid.org/0000-0002-6674-9941","contributorId":213767,"corporation":false,"usgs":true,"family":"Bisbal","given":"Gustavo","email":"","middleInitial":"A.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":762736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Chas E 0000-0002-6089-2608","orcid":"https://orcid.org/0000-0002-6089-2608","contributorId":215587,"corporation":false,"usgs":false,"family":"Jones","given":"Chas","email":"","middleInitial":"E","affiliations":[{"id":39288,"text":"Affiliated Tribes of Northwest Indians","active":true,"usgs":false}],"preferred":false,"id":762737,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70223808,"text":"70223808 - 2019 - Variation in Bluegill catch rates and total length distributions among four sampling gears used in two Wisconsin lakes dominated by small Ffsh","interactions":[],"lastModifiedDate":"2021-09-08T12:32:42.245373","indexId":"70223808","displayToPublicDate":"2019-05-10T07:28:17","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Variation in Bluegill catch rates and total length distributions among four sampling gears used in two Wisconsin lakes dominated by small Ffsh","docAbstract":"Many Bluegill Lepomis macrochirus populations are dominated by fish ≤125 mm total length (TL) that may be underrepresented when using standard sampling gears. To identify efficient sampling methods for these populations, we compared catch per unit effort (CPUE) and TL frequency distributions of Bluegill captured in cloverleaf traps, boat electrofishing, mini-fyke nets, and beach seine hauls from two northern Wisconsin lakes supporting populations dominated by fish ≤125 mm TL. Mean Bluegill CPUE ranged from 41 (SE = 11) fish per cloverleaf trap lift to 16 (SE = 8) fish per beach seine haul. Cloverleaf traps generally captured smaller Bluegill relative to other gears and were the only gear to consistently capture Bluegill ≤80 mm TL. Conversely, boat electrofishing captured the widest TL range of Bluegill, and fish ≥80 mm TL composed a greater proportion of catch (37%) relative to other gears. With few exceptions, the effort required to detect 10% or 25% changes in Bluegill CPUE was >100 units of effort regardless of lake, sampling gear, or month. Furthermore, there was no consistency between lakes or months in terms of which sampling gear required the fewest number of samples to detect a 50% change in CPUE. Estimated units of effort needed to detect 10% or 25% changes in mean Bluegill TL were ≤16 for all sampling gears on the lake with consistently higher CPUE (i.e., more fish to measure per unit). In the lake with lower CPUE, cloverleaf traps consistently required less effort to detect changes in mean TL. We note that comparing sample size requirements among gears is not straightforward because gears are sampling differing segments of the Bluegill population. Our study emphasizes the importance of evaluating gear biases and sampling efficiency so that fisheries managers can develop suitable sampling protocols.
In fish tagging studies, tag size limits the size of fish that can be tagged, the fraction of a population that can be represented, and ultimately inferences that can be made about the study population, particularly when juvenile fish are the subject of interest. Introduction of an 8-mm passive integrated transponder (PIT) reduced the minimum taggable size of fish, but it has not been evaluated in field trials. We evaluated the growth and survival of age-0 Oncorhynchus mykiss tagged with 8-mm PIT tags in four streams in southwest Washington, USA.
A total of 351 PIT tagged fish and 340 control fish (marked with pelvic fin clips) were released, but recapture rates were low, particularly for control fish. Growth in length and mass did not differ between small (42–54 mm) and large (55–64 mm) PIT tagged fish. There was a slightly positive, but weak, relation between tag burden and growth in mass; however, there was considerable variability in this relation (R2 = 0.115). Summer to autumn joint probability of fish surviving and remaining in the study area estimated with a Bayesian mark-recapture model ranged from 0.228 to 0.478 in study streams. We found no significant relation between tag burden and survival, suggesting neither tag burden nor fish size at tagging affected survival.
Although this study was limited in scope, it provided insight into how age-0 O. mykiss tagged with 8-mm PIT tags grew and survived under natural conditions. We showed that fish as small as 42 mm could be tagged without detrimental effects, which should allow researchers to represent a larger portion of study populations through PIT tagging.
","language":"English","publisher":"BioMed Central Ltd","doi":"10.1186/s40317-019-0171-9","usgsCitation":"Tiffan, K., Jezorek, I., and Perry, R., 2019, A field evaluation of the growth and survival of age-0 Oncorhynchus mykiss tagged with 8-mm passive integrated transponder (PIT) tags: Animal Biotelemetry, v. 7, Article 9, 8 p., https://doi.org/10.1186/s40317-019-0171-9.","productDescription":"Article 9, 8 p.","ipdsId":"IP-102909","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":460385,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40317-019-0171-9","text":"Publisher Index Page"},{"id":366095,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.76074218749999,\n 45.897654534346906\n ],\n [\n -119.10278320312499,\n 45.897654534346906\n ],\n [\n -119.10278320312499,\n 47.69497434186282\n ],\n [\n -124.76074218749999,\n 47.69497434186282\n ],\n [\n -124.76074218749999,\n 45.897654534346906\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Tiffan, Kenneth 0000-0002-5831-2846","orcid":"https://orcid.org/0000-0002-5831-2846","contributorId":217812,"corporation":false,"usgs":true,"family":"Tiffan","given":"Kenneth","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":767570,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jezorek, Ian 0000-0002-3842-3485","orcid":"https://orcid.org/0000-0002-3842-3485","contributorId":217813,"corporation":false,"usgs":true,"family":"Jezorek","given":"Ian","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":767571,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perry, Russell 0000-0003-4110-8619","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":217814,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":767572,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70208622,"text":"70208622 - 2019 - State of knowledge on current exposure, fate and potential health effects of contaminants in polar bears from the circumpolar Arctic","interactions":[],"lastModifiedDate":"2020-02-21T10:48:40","indexId":"70208622","displayToPublicDate":"2019-05-10T07:05:48","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5331,"text":"Science of Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"State of knowledge on current exposure, fate and potential health effects of contaminants in polar bears from the circumpolar Arctic","docAbstract":"The polar bear (Ursus maritimus) is among the Arctic species exposed to the highest concentrations of long-range transported bioaccumulative contaminants, such as halogenated organic compounds and mercury. Contaminant exposure is considered to be one of the largest threats to polar bears after the loss of their Arctic sea ice habitat due to climate change. The aim of this review is to provide a comprehensive summary of current exposure, fate, and potential health effects of contaminants in polar bears from the circumpolar Arctic required by the Circumpolar Action Plan for polar bear conservation. Overall results suggest that legacy persistent organic pollutants (POPs) including polychlorinated biphenyls, chlordanes and perfluorooctane sulfonic acid (PFOS), followed by other perfluoroalkyl compounds (e.g. carboxylic acids, PFCAs) and brominated flame retardants, are still the main compounds in polar bears. Concentrations of several legacy POPs that have been banned for decades in most parts of the world have generally declined in polar bears. Current spatial trends of contaminants vary widely between compounds and recent studies suggest increased concentrations of both POPs and PFCAs in certain subpopulations. Correlative field studies, supported by in vitro studies, suggest that contaminant exposure disrupts circulating levels of thyroid hormones and lipid metabolism, and alters neurochemistry in polar bears. Additionally, field and in vitro studies and risk assessments indicate the potential for adverse impacts to polar bear immune functions from exposure to certain contaminants.
Burrowing Owls (Athene cunicularia) have a large geographic range spanning both North and South America and resident populations occur on many islands in the eastern Pacific Ocean and the Caribbean Sea. Many owl populations are isolated and disjunct from other populations, but studies on genetic variation within and among populations are limited. We characterized DNA microsatellite variation in populations varying in size and geographic isolation in the Florida (A. c. floridana), the Western (A. c. hypugaea), and the Clarion (A. c. rostrata) subspecies of the Burrowing Owl. We also characterized genetic variation in a geographically isolated population of the western subspecies in central Mexico (near Texcoco Lake). Clarion Burrowing Owls had no intrapopulation variation (i.e., fixation) at 5 out of 11 microsatellite loci, a likely outcome of genetic drift in an isolated and small population. The Florida subspecies had only polymorphic loci but had reduced levels of genetic variation compared with the more-widespread western subspecies that occurs throughout western North America. Despite the extensive geographic distribution of the Western Burrowing Owl, we found genetic differentiation between the panmictic population north of the Trans-Mexican Volcanic Belt and the resident Texcoco Lake population in central Mexico.
","language":"English","publisher":"The Raptor Research Foundation, Inc","doi":"10.3356/JRR-18-00002","usgsCitation":"Macias-Duarte, A., Conway, C.J., Holroyd, G.L., Valdez-Gomez, H.E., and Culver, M., 2019, Genetic variation among island and continental populations of Burrowing Owl (Athene cunicularia) subspecies in North America: Journal of Raptor Research, v. 53, no. 2, p. 127-133, https://doi.org/10.3356/JRR-18-00002.","productDescription":"7 p.","startPage":"127","endPage":"133","ipdsId":"IP-057792","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":467626,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3356/jrr-18-00002","text":"Publisher Index Page"},{"id":394870,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Mexico, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.0234375,\n 24.686952411999155\n ],\n [\n -79.541015625,\n 24.686952411999155\n ],\n [\n -79.541015625,\n 29.99300228455108\n ],\n [\n -84.0234375,\n 29.99300228455108\n ],\n [\n -84.0234375,\n 24.686952411999155\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.22265625000001,\n 18.312810846425442\n ],\n [\n -94.658203125,\n 18.312810846425442\n ],\n [\n -94.658203125,\n 55.178867663281984\n ],\n [\n -123.22265625000001,\n 55.178867663281984\n ],\n [\n -123.22265625000001,\n 18.312810846425442\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"53","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Macias-Duarte, Alberto","contributorId":70605,"corporation":false,"usgs":true,"family":"Macias-Duarte","given":"Alberto","email":"","affiliations":[],"preferred":false,"id":831674,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":831673,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holroyd, Geoffrey L.","contributorId":272179,"corporation":false,"usgs":false,"family":"Holroyd","given":"Geoffrey","email":"","middleInitial":"L.","affiliations":[{"id":56364,"text":"environ canada","active":true,"usgs":false}],"preferred":false,"id":831675,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Valdez-Gomez, Hector E.","contributorId":272180,"corporation":false,"usgs":false,"family":"Valdez-Gomez","given":"Hector","email":"","middleInitial":"E.","affiliations":[{"id":56365,"text":"Universidad Autónoma de Nuevo León,","active":true,"usgs":false}],"preferred":false,"id":831676,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Culver, Melanie 0000-0001-5380-3059 mculver@usgs.gov","orcid":"https://orcid.org/0000-0001-5380-3059","contributorId":197693,"corporation":false,"usgs":true,"family":"Culver","given":"Melanie","email":"mculver@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":831677,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70203553,"text":"70203553 - 2019 - Aluminum- and iron-based coagulation for in-situ removal of dissolved organic carbon, disinfection byproducts, mercury and other constituents from agricultural drain water","interactions":[],"lastModifiedDate":"2019-06-18T12:13:56","indexId":"70203553","displayToPublicDate":"2019-05-09T09:52:12","publicationYear":"2019","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":"Aluminum- and iron-based coagulation for in-situ removal of dissolved organic carbon, disinfection byproducts, mercury and other constituents from agricultural drain water","docAbstract":"Agricultural production on wetland soils can be significant sources of dissolved organic carbon (DOC), disinfection byproduct precursors, mercury and nutrients to downstream water bodies and accelerate land subsidence. Presented as a potential solution for in-situ water quality improvement and land subsidence mitigation, chemically enhanced treatment wetlands (CETWs) were used to leverage both coagulation and wetland processes. In this study, we evaluated the performance of coagulants ferric sulfate (Fe dosing) and polyaluminum chloride (Al dosing) to remove pollutants from agricultural drain water using the coagulation system designed for CETWs. Both coagulation treatments removed over 70% DOC from source waters, resulting in removal efficiencies (mg-DOC removed per mg-metal dosed) of 1 under Al dosing and 0.5 under Fe dosing. Coagulation by both treatments preferentially removed UV254 active compounds compared to the bulk DOC concentration, suggesting coagulation targeted aromatics more effectively. Phosphates and haloacetic acids were also removed more readily, whereas trihalomethanes, dissolved organic nitrogen and filtered mercury species were removed at similar or lower rates than DOC. Dissolved inorganic nitrogen was not amenable to coagulation and removal was not observed. Freundlich, Langmuir and Monod models explained 33% of the variance for Al dosing and 78 – 89% of the variance for Fe dosing. All three models indicated Al dosing had higher removal efficiency and affinity for DOC than Fe dosing under study conditions, but when used to predict maximum removal efficiency there was no cohesiveness between the three models due to different model assumptions. Consideration of fluorescence dissolved organic matter and UV254 as surrogates for DOC concentration showed both were equally suitable before coagulant application, but as surrogates after coagulant application, neither could be deemed more fit as a surrogate since both were shown suitable for different treatment scenarios.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2019.02.015","usgsCitation":"Bachand, S.M., Kraus, T.E., Stern, D., Ling Liang, Y., Horwath, W.R., and Bachand, P.A., 2019, Aluminum- and iron-based coagulation for in-situ removal of dissolved organic carbon, disinfection byproducts, mercury and other constituents from agricultural drain water: Ecological Engineering, v. 134, p. 26-38, https://doi.org/10.1016/j.ecoleng.2019.02.015.","productDescription":"13 p.","startPage":"26","endPage":"38","ipdsId":"IP-099173","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":467627,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoleng.2019.02.015","text":"Publisher Index Page"},{"id":364087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"134","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bachand, Sandra M. 0000-0001-5235-9726","orcid":"https://orcid.org/0000-0001-5235-9726","contributorId":207557,"corporation":false,"usgs":false,"family":"Bachand","given":"Sandra","email":"","middleInitial":"M.","affiliations":[{"id":12526,"text":"Bachand & Associates","active":true,"usgs":false}],"preferred":false,"id":763118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kraus, Tamara E. C. 0000-0002-5187-8644 tkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-5187-8644","contributorId":147560,"corporation":false,"usgs":true,"family":"Kraus","given":"Tamara","email":"tkraus@usgs.gov","middleInitial":"E. C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763117,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stern, Dylan 0000-0001-5676-8711","orcid":"https://orcid.org/0000-0001-5676-8711","contributorId":215742,"corporation":false,"usgs":false,"family":"Stern","given":"Dylan","email":"","affiliations":[{"id":39311,"text":"Delta Stewardship Program, Aquatic Science Program","active":true,"usgs":false}],"preferred":false,"id":763119,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ling Liang, Yan 0000-0001-5999-3148","orcid":"https://orcid.org/0000-0001-5999-3148","contributorId":207555,"corporation":false,"usgs":false,"family":"Ling Liang","given":"Yan","email":"","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":763120,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Horwath, William R. 0000-0003-3707-0697","orcid":"https://orcid.org/0000-0003-3707-0697","contributorId":207560,"corporation":false,"usgs":false,"family":"Horwath","given":"William","email":"","middleInitial":"R.","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":763121,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bachand, Philip A. M. 0000-0002-6757-2404","orcid":"https://orcid.org/0000-0002-6757-2404","contributorId":207558,"corporation":false,"usgs":false,"family":"Bachand","given":"Philip","email":"","middleInitial":"A. M.","affiliations":[{"id":12526,"text":"Bachand & Associates","active":true,"usgs":false}],"preferred":false,"id":763122,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ]}