{"pageNumber":"393","pageRowStart":"9800","pageSize":"25","recordCount":46619,"records":[{"id":70181007,"text":"70181007 - 2017 - A global database of ant species abundances","interactions":[],"lastModifiedDate":"2017-03-03T11:27:20","indexId":"70181007","displayToPublicDate":"2016-12-16T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"A global database of ant species abundances","docAbstract":"<p><span>What forces structure ecological assemblages? A key limitation to general insights about assemblage structure is the availability of data that are collected at a small spatial grain (local assemblages) and a large spatial extent (global coverage). Here, we present published and unpublished data from 51,388 ant abundance and occurrence records of more than 2693 species and 7953 morphospecies from local assemblages collected at 4212 locations around the world. Ants were selected because they are diverse and abundant globally, comprise a large fraction of animal biomass in most terrestrial communities, and are key contributors to a range of ecosystem functions. Data were collected between 1949 and 2014, and include, for each geo-referenced sampling site, both the identity of the ants collected and details of sampling design, habitat type and degree of disturbance. The aim of compiling this dataset was to provide comprehensive species abundance data in order to test relationships between assemblage structure and environmental and biogeographic factors. Data were collected using a variety of standardised methods, such as pitfall and Winkler traps, and will be valuable for studies investigating large-scale forces structuring local assemblages. Understanding such relationships is particularly critical under current rates of global change. We encourage authors holding additional data on systematically collected ant assemblages, especially those in dry and cold, and remote areas, to contact us and contribute their data to this growing dataset.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.1682","usgsCitation":"Gibb, H., Dunn, R.R., Sanders, N.J., Grossman, B.F., Photakis, M., Abril, S., Agosti, D., Andersen, A.N., Angulo, E., Armbrecht, I., Arnan, X., Baccaro, F.B., Bishop, T.R., Boulay, R., Bruhl, C., Castracani, C., Cerda, X., Del Toro, I., Delsinne, T., Diaz, M., Donoso, D.A., Ellison, A.M., Enriquez, M.L., Fayle, T.M., Feener, D.H., Fisher, B.L., Fisher, R.N., Fitpatrick, M.C., Gomez, C., Gotelli, N.J., Gove, A., Grasso, D.A., Groc, S., Guenard, B., Gunawardene, N., Heterick, B., Hoffmann, B., Janda, M., Jenkins, C., Kaspari, M., Klimes, P., Lach, L., Laeger, T., Lattke, J., Leponce, M., Lessard, J., Longino, J., Lucky, A., Luke, S.H., Majer, J., McGlynn, T.P., Menke, S., Mezger, D., Mori, A., Moses, J., Munyai, T.C., Pacheco, R., Paknia, O., Pearce-Duvet, J., Pfeiffer, M., Philpott, S.M., Resasco, J., Retana, J., Silva, R.R., Sorger, M.D., Souza, J., Suarez, A.V., Tista, M., Vasconcelos, H.L., Vonshak, M., Weiser, M.D., Yates, M., and Parr, C.L., 2017, A global database of ant species abundances: Ecology, v. 98, no. 3, p. 883-884, https://doi.org/10.1002/ecy.1682.","productDescription":"2 p.","startPage":"883","endPage":"884","ipdsId":"IP-081798","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":470194,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/ecy.1682","text":"External Repository"},{"id":335179,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","issue":"3","publishingServiceCenter":{"id":1,"text":"Sacramento 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,{"id":70178111,"text":"70178111 - 2017 - Observations of seismicity and ground motion in the northeast U.S. Atlantic margin from ocean bottom seismometer data","interactions":[],"lastModifiedDate":"2017-11-18T12:11:31","indexId":"70178111","displayToPublicDate":"2016-12-13T17:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Observations of seismicity and ground motion in the northeast U.S. Atlantic margin from ocean bottom seismometer data","docAbstract":"<p>Earthquake data from two short-period ocean-bottom seismometer (OBS) networks deployed for over a year on the continental slope off New York and southern New England were used to evaluate seismicity and ground motions along the continental margin. Our OBS networks located only one earthquake of M<sub>c</sub>∼1.5 near the shelf edge during six months of recording, suggesting that seismic activity (M<sub>Lg</sub>&gt;3.0) of the margin as far as 150–200 km offshore is probably successfully monitored by land stations without the need for OBS deployments. The spectral acceleration from two local earthquakes recorded by the OBS was found to be generally similar to the acceleration from these earthquakes recorded at several seismic stations on land and to hybrid empirical acceleration relationships for eastern North America. Therefore, the seismic attenuation used for eastern North America can be extended in this region at least to the continental slope. However, additional offshore studies are needed to verify these preliminary conclusions.</p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220160079","usgsCitation":"Flores, C., ten Brink, U., McGuire, J.J., and Collins, J., 2017, Observations of seismicity and ground motion in the northeast U.S. Atlantic margin from ocean bottom seismometer data: Seismological Research Letters, v. 88, no. 1, p. 23-31, https://doi.org/10.1785/0220160079.","productDescription":"9 p.","startPage":"23","endPage":"31","ipdsId":"IP-079590","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470195,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hdl.handle.net/1912/8672","text":"External Repository"},{"id":332087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73,\n              37.5\n            ],\n            [\n              -73,\n              41.5\n            ],\n            [\n              -69,\n              41.5\n            ],\n            [\n              -69,\n              37.5\n            ],\n            [\n              -73,\n              37.5\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"88","issue":"1","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-02","publicationStatus":"PW","scienceBaseUri":"585116b5e4b08138bf1abd42","contributors":{"authors":[{"text":"Flores, Claudia cflores@usgs.gov","contributorId":4265,"corporation":false,"usgs":true,"family":"Flores","given":"Claudia","email":"cflores@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":655841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"ten Brink, Uri S. 0000-0001-6858-3001 utenbrink@usgs.gov","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":127560,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri S.","email":"utenbrink@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":false,"id":655842,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGuire, Jeffrey J. 0000-0001-9235-2166 jmcguire@whoi.edu","orcid":"https://orcid.org/0000-0001-9235-2166","contributorId":177447,"corporation":false,"usgs":false,"family":"McGuire","given":"Jeffrey","email":"jmcguire@whoi.edu","middleInitial":"J.","affiliations":[{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false}],"preferred":false,"id":655843,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collins, John A. jcollins@whoi.edu","contributorId":177449,"corporation":false,"usgs":false,"family":"Collins","given":"John A.","email":"jcollins@whoi.edu","affiliations":[{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false}],"preferred":false,"id":655844,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70178783,"text":"70178783 - 2017 - Origin and evolution of mineralizing fluids and exploration of the Cerro Quema Au-Cu deposit (Azuero Peninsula, Panama) from a fluid inclusion and stable isotope perspective","interactions":[],"lastModifiedDate":"2016-12-07T14:05:22","indexId":"70178783","displayToPublicDate":"2016-12-07T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2954,"text":"Ore Geology Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Origin and evolution of mineralizing fluids and exploration of the Cerro Quema Au-Cu deposit (Azuero Peninsula, Panama) from a fluid inclusion and stable isotope perspective","docAbstract":"<p id=\"sp0085\">Cerro Quema is a high sulfidation epithermal Au-Cu deposit with a measured, indicated and inferred resource of 35.98 Mt. @ 0.77&nbsp;g/t Au containing 893,600&nbsp;oz. Au (including 183,930&nbsp;oz. Au equiv. of Cu ore). It is characterized by a large hydrothermal alteration zone which is interpreted to represent the lithocap of a porphyry system. The innermost zone of the lithocap is constituted by vuggy quartz with advanced argillic alteration locally developed on its margin, enclosed by a well-developed zone of argillic alteration, grading to an external halo of propylitic alteration. The mineralization occurs in the form of disseminations and microveinlets of pyrite, chalcopyrite, enargite, tennantite, and trace sphalerite, crosscut by quartz, barite, pyrite, chalcopyrite, sphalerite and galena veins.</p><p id=\"sp0090\">Microthermometric analyses of two phase (L&nbsp;+&nbsp;V) secondary fluid inclusions in igneous quartz phenocrysts in vuggy quartz and advanced argillically altered samples indicate low temperature (140–216&nbsp;°C) and low salinity (0.5–4.8&nbsp;wt% NaCl eq.) fluids, with hotter and more saline fluids identified in the east half of the deposit (Cerro Quema area).</p><p id=\"sp0095\">Stable isotope analyses (S, O, H) were performed on mineralization and alteration minerals, including pyrite, chalcopyrite, enargite, alunite, barite, kaolinite, dickite and vuggy quartz. The range of δ<sup>34</sup>S of sulfides is from −&nbsp;4.8 to −&nbsp;12.7‰, whereas δ<sup>34</sup>S of sulfates range from 14.1 to 17.4‰. The estimated δ<sup>34</sup>S<sub>ΣS</sub> of the hydrothermal fluid is −&nbsp;0.5‰. Within the advanced argillic altered zone the δ<sup>34</sup>S values of sulfides and sulfates are interpreted to reflect isotopic equilibrium at temperatures of ~&nbsp;240&nbsp;°C. The δ<sup>18</sup>O values of vuggy quartz range from 9.0 to 17.5‰, and the δ<sup>18</sup>O values estimated for the vuggy quartz-forming fluid range from −&nbsp;2.3 to 3.0‰, indicating that it precipitated from mixing of magmatic fluids with surficial fluids. The δ<sup>18</sup>O of kaolinite ranges from 12.7 to 18.1‰ and δD from −&nbsp;103.3 to −&nbsp;35.2‰, whereas the δ<sup>18</sup>O of dickite varies between 12.7 and 16.3‰ and δD from −&nbsp;44 to −&nbsp;30. Based on δ<sup>18</sup>O and δD, two types of kaolinite/dickite can be distinguished, a supergene type and a hypogene type. Combined, the analytical data indicate that the Cerro Quema deposit formed from magmatic-hydrothermal fluids derived from a porphyry copper-like intrusion located at depth likely towards the east of the deposit. The combination of stable isotope geochemistry and fluid inclusion analysis may provide useful exploration vectors for porphyry copper targets in the high sulfidation/lithocap environment.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.oregeorev.2016.09.008","usgsCitation":"Corral, I., Cardellach, E., Corbella, M., Canals, A., Griera, A., Gomez-Gras, D., and Johnson, C.A., 2017, Origin and evolution of mineralizing fluids and exploration of the Cerro Quema Au-Cu deposit (Azuero Peninsula, Panama) from a fluid inclusion and stable isotope perspective: Ore Geology Reviews, v. 80, p. 947-960, https://doi.org/10.1016/j.oregeorev.2016.09.008.","productDescription":"14 p.","startPage":"947","endPage":"960","ipdsId":"IP-074764","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":470197,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://ddd.uab.cat/record/289476","text":"External Repository"},{"id":331638,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Panama","otherGeospatial":"Azuero Peninsula","volume":"80","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58492dede4b06d80b7b09390","contributors":{"authors":[{"text":"Corral, Isaac","contributorId":177243,"corporation":false,"usgs":false,"family":"Corral","given":"Isaac","email":"","affiliations":[],"preferred":false,"id":655121,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cardellach, Esteve","contributorId":177244,"corporation":false,"usgs":false,"family":"Cardellach","given":"Esteve","email":"","affiliations":[],"preferred":false,"id":655122,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Corbella, Merce","contributorId":177245,"corporation":false,"usgs":false,"family":"Corbella","given":"Merce","email":"","affiliations":[],"preferred":false,"id":655123,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Canals, Angels","contributorId":177246,"corporation":false,"usgs":false,"family":"Canals","given":"Angels","email":"","affiliations":[],"preferred":false,"id":655124,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Griera, Albert","contributorId":177247,"corporation":false,"usgs":false,"family":"Griera","given":"Albert","email":"","affiliations":[],"preferred":false,"id":655125,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gomez-Gras, David","contributorId":177248,"corporation":false,"usgs":false,"family":"Gomez-Gras","given":"David","email":"","affiliations":[],"preferred":false,"id":655126,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Craig A. 0000-0002-1334-2996 cjohnso@usgs.gov","orcid":"https://orcid.org/0000-0002-1334-2996","contributorId":909,"corporation":false,"usgs":true,"family":"Johnson","given":"Craig","email":"cjohnso@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":655127,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70178569,"text":"70178569 - 2017 - Estimating linear temporal trends from aggregated environmental monitoring data","interactions":[],"lastModifiedDate":"2016-12-01T08:30:06","indexId":"70178569","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Estimating linear temporal trends from aggregated environmental monitoring data","docAbstract":"<p><span>Trend estimates are often used as part of environmental monitoring programs. These trends inform managers (e.g., are desired species increasing or undesired species decreasing?). Data collected from environmental monitoring programs is often aggregated (i.e., averaged), which confounds sampling and process variation. State-space models allow sampling variation and process variations to be separated. We used simulated time-series to compare linear trend estimations from three state-space models, a simple linear regression model, and an auto-regressive model. We also compared the performance of these five models to estimate trends from a long term monitoring program. We specifically estimated trends for two species of fish and four species of aquatic vegetation from the Upper Mississippi River system. We found that the simple linear regression had the best performance of all the given models because it was best able to recover parameters and had consistent numerical convergence. Conversely, the simple linear regression did the worst job estimating populations in a given year. The state-space models did not estimate trends well, but estimated population sizes best when the models converged. We found that a simple linear regression performed better than more complex autoregression and state-space models when used to analyze aggregated environmental monitoring data.</span></p>","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam","doi":"10.1016/j.ecolind.2016.10.036","collaboration":"University of Wisconsin-La Crosse","usgsCitation":"Erickson, R.A., Gray, B.R., and Eager, E., 2017, Estimating linear temporal trends from aggregated environmental monitoring data: Ecological Indicators, v. 74, p. 62-72, https://doi.org/10.1016/j.ecolind.2016.10.036.","productDescription":"11 p.","startPage":"62","endPage":"72","ipdsId":"IP-076427","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":331375,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":331261,"type":{"id":15,"text":"Index Page"},"url":"https://www.sciencedirect.com/science/article/pii/S1470160X16306331"}],"volume":"74","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"584144d8e4b04fc80e507348","contributors":{"authors":[{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":654406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gray, Brian R. 0000-0001-7682-9550 brgray@usgs.gov","orcid":"https://orcid.org/0000-0001-7682-9550","contributorId":2615,"corporation":false,"usgs":true,"family":"Gray","given":"Brian","email":"brgray@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":654407,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eager, Eric A.","contributorId":140447,"corporation":false,"usgs":false,"family":"Eager","given":"Eric A.","affiliations":[{"id":13504,"text":"Department of Mathematics, University of Wisconsin-La Crosse","active":true,"usgs":false}],"preferred":false,"id":654408,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70178660,"text":"70178660 - 2017 - Observations of pockmark flow structure in Belfast Bay, Maine, Part 1: current-induced mixing","interactions":[],"lastModifiedDate":"2017-04-27T10:04:07","indexId":"70178660","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1742,"text":"Geo-Marine Letters","active":true,"publicationSubtype":{"id":10}},"title":"Observations of pockmark flow structure in Belfast Bay, Maine, Part 1: current-induced mixing","docAbstract":"<p><span>Field observations of current profiles and temperature, salinity, and density structure were used to examine vertical mixing within two pockmarks in Belfast Bay, Maine. The first is located in 21 m water depth (sea level to rim), nearly circular in shape with a 45 m rim diameter and 12 m rim-to-bottom relief. The second is located in 25 m water depth, more elongated in shape with an approximately 80 m (36 m) major (minor) axis length at the rim, and 17 m relief. Hourly averaged current profiles were acquired from bottom-mounted acoustic Doppler current profilers deployed on the rim and center of each pockmark over successive 42 h periods in July 2011. Conductivity–temperature–depth casts at the rim and center of each pockmark show warmer, fresher water in the upper water column, evidence of both active and fossil thermocline structure 5–8 m above the rim, and well-mixed water below the rim to the bottom. Vertical velocities show up- and down-welling events that extend into the depths of each pockmark. An observed temperature change at both the rim and center occurs coincident with an overturning event below the rim, and suggests active mixing of the water column into the depths of each pockmark. Vertical profiles of horizontal velocities show depth variation at both the center and rim consistent with turbulent logarithmic current boundary layers, and suggest that form drag may possibly be influencing the local flow regime. While resource limitations prevented observation of the current structure and water properties at a control site, the acquired data suggest that active mixing and overturning within the sampled pockmarks occur under typical benign conditions, and that current flows are influenced by upstream bathymetric irregularities induced by distant pockmarks.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00367-016-0472-4","usgsCitation":"Fandel, C.L., Lippmann, T.C., Irish, J.D., and Brothers, L., 2017, Observations of pockmark flow structure in Belfast Bay, Maine, Part 1: current-induced mixing: Geo-Marine Letters, v. 37, no. 1, p. 1-14, https://doi.org/10.1007/s00367-016-0472-4.","productDescription":"14 p.","startPage":"1","endPage":"14","ipdsId":"IP-075155","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":331426,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine","otherGeospatial":"Belfast Bay","volume":"37","issue":"1","noUsgsAuthors":false,"publicationDate":"2016-10-05","publicationStatus":"PW","scienceBaseUri":"584144dae4b04fc80e507355","contributors":{"authors":[{"text":"Fandel, Christina L.","contributorId":177119,"corporation":false,"usgs":false,"family":"Fandel","given":"Christina","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":654737,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lippmann, Thomas C.","contributorId":177120,"corporation":false,"usgs":false,"family":"Lippmann","given":"Thomas","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":654738,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Irish, James D.","contributorId":177134,"corporation":false,"usgs":false,"family":"Irish","given":"James","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":654739,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brothers, Laura L. lbrothers@usgs.gov","contributorId":4502,"corporation":false,"usgs":true,"family":"Brothers","given":"Laura L.","email":"lbrothers@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":654740,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70192247,"text":"70192247 - 2017 - Bed texture mapping in large rivers using recreational-grade sidescan sonar","interactions":[],"lastModifiedDate":"2018-02-26T13:04:06","indexId":"70192247","displayToPublicDate":"2016-12-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Bed texture mapping in large rivers using recreational-grade sidescan sonar","docAbstract":"<p>The size-distribution and spatial organization of bed sediment, or bed ‘texture’, is a fundamental attribute of natural channels and is one important component of the physical habitat of aquatic ecosystems. ‘Recreational-grade’ sidescan sonar systems now offer the possibility of imaging, and subsequently quantifying bed texture at high resolution with minimal cost, or logistical effort. We are investigating the possibility of using sidescan sonar sensors on commercially available ‘fishfinders’ for within-channel bed-sediment characterization of mixed sand-gravel riverbeds in a debris-fan dominated canyon river. We analyzed repeat substrate mapping of data collected before and after the November 2014 High Flow Experiment on the Colorado River in lower Marble Canyon, Arizona. The mapping analysis resulted in sufficient spatial coverage (e.g. reach) and resolutions (e.g. centrimetric) to inform studies of the effects of changing bed substrates on salmonid spawning on large rivers. From this preliminary study, we argue that the approach could become a tractable and cost-effective tool for aquatic scientists to rapidly obtain bed texture maps without specialized knowledge of hydroacoustics. Bed texture maps can be used as a physical input for models relating ecosystem responses to hydrologic management.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"River Flow 2016--Eighth International Conference on Fluvial Hydraulics","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"River Flow 2016--Eighth International Conference on Fluvial Hydraulics","conferenceDate":"July 11-14, 2016","conferenceLocation":"Iowa City, IL","language":"English","publisher":"CRC Press","doi":"10.1201/9781315644479-51","usgsCitation":"Hamill, D., Wheaton, J.M., Buscombe, D.D., Grams, P.E., and Melis, T., 2017, Bed texture mapping in large rivers using recreational-grade sidescan sonar, <i>in</i> River Flow 2016--Eighth International Conference on Fluvial Hydraulics, Iowa City, IL, July 11-14, 2016, p. 306-312, https://doi.org/10.1201/9781315644479-51.","productDescription":"7 p.","startPage":"306","endPage":"312","ipdsId":"IP-072243","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":352026,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-06","publicationStatus":"PW","scienceBaseUri":"5afee8f8e4b0da30c1bfc504","contributors":{"authors":[{"text":"Hamill, Daniel","contributorId":198063,"corporation":false,"usgs":false,"family":"Hamill","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":714987,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wheaton, Joseph M.","contributorId":29126,"corporation":false,"usgs":true,"family":"Wheaton","given":"Joseph","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":729611,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buscombe, Daniel D. 0000-0001-6217-5584 dbuscombe@usgs.gov","orcid":"https://orcid.org/0000-0001-6217-5584","contributorId":5020,"corporation":false,"usgs":false,"family":"Buscombe","given":"Daniel","email":"dbuscombe@usgs.gov","middleInitial":"D.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":714986,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grams, Paul E. 0000-0002-0873-0708 pgrams@usgs.gov","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":1830,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","email":"pgrams@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":729612,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Melis, Theodore S. 0000-0003-0473-3968 tmelis@usgs.gov","orcid":"https://orcid.org/0000-0003-0473-3968","contributorId":1829,"corporation":false,"usgs":true,"family":"Melis","given":"Theodore S.","email":"tmelis@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":714990,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70178551,"text":"70178551 - 2017 - Estimating occurrence and detection probabilities for stream-breeding salamanders in the Gulf Coastal Plain","interactions":[],"lastModifiedDate":"2017-01-19T14:01:46","indexId":"70178551","displayToPublicDate":"2016-11-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2334,"text":"Journal of Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Estimating occurrence and detection probabilities for stream-breeding salamanders in the Gulf Coastal Plain","docAbstract":"<p><span>Large gaps exist in our knowledge of the ecology of stream-breeding plethodontid salamanders in the Gulf Coastal Plain. Data describing where these salamanders are likely to occur along environmental gradients, as well as their likelihood of detection, are important for the prevention and management of amphibian declines. We used presence/absence data from leaf litter bag surveys and a hierarchical Bayesian multispecies single-season occupancy model to estimate the occurrence of five species of plethodontids across reaches in headwater streams in the Gulf Coastal Plain. Average detection probabilities were high (range = 0.432–0.942) and unaffected by sampling covariates specific to the use of litter bags (i.e., bag submergence, sampling season, in-stream cover). Estimates of occurrence probabilities differed substantially between species (range = 0.092–0.703) and were influenced by the size of the upstream drainage area and by the maximum proportion of the reach that dried. The effects of these two factors were not equivalent across species. Our results demonstrate that hierarchical multispecies models successfully estimate occurrence parameters for both rare and common stream-breeding plethodontids. The resulting models clarify how species are distributed within stream networks, and they provide baseline values that will be useful in evaluating the conservation statuses of plethodontid species within lotic systems in the Gulf Coastal Plain.</span></p>","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","doi":"10.1670/16-050","usgsCitation":"Lamb, J.Y., Waddle, J.H., and Qualls, C.P., 2017, Estimating occurrence and detection probabilities for stream-breeding salamanders in the Gulf Coastal Plain: Journal of Herpetology, v. 51, no. 1, p. 102-108, https://doi.org/10.1670/16-050.","productDescription":"7 p.","startPage":"102","endPage":"108","ipdsId":"IP-072999","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":331235,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":331234,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://journalofherpetology.org/doi/abs/10.1670/16-050"}],"volume":"51","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"583d502de4b0d9329c80c591","contributors":{"authors":[{"text":"Lamb, Jennifer Y.","contributorId":177025,"corporation":false,"usgs":false,"family":"Lamb","given":"Jennifer","email":"","middleInitial":"Y.","affiliations":[],"preferred":false,"id":654324,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waddle, J. Hardin 0000-0003-1940-2133 waddleh@usgs.gov","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":138953,"corporation":false,"usgs":true,"family":"Waddle","given":"J.","email":"waddleh@usgs.gov","middleInitial":"Hardin","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":654325,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Qualls, Carl P.","contributorId":19688,"corporation":false,"usgs":true,"family":"Qualls","given":"Carl","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":654326,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70178534,"text":"70178534 - 2017 - Multi-species coral Sr/Ca-based sea-surface temperature reconstruction using <i>Orbicella faveolata</i> and <i>Siderastrea siderea</i> from the Florida Straits","interactions":[],"lastModifiedDate":"2017-03-09T13:54:12","indexId":"70178534","displayToPublicDate":"2016-11-23T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"Multi-species coral Sr/Ca-based sea-surface temperature reconstruction using <i>Orbicella faveolata</i> and <i>Siderastrea siderea</i> from the Florida Straits","docAbstract":"<p><span>We present new, monthly-resolved Sr/Ca-based sea-surface temperature (SST) records from two species of massive coral, </span><i>Orbicella faveolata</i><span> and </span><i>Siderastrea siderea,</i><span> from the Dry Tortugas National Park, FL, USA (DTNP). We combine these new records with published data from three additional </span><i>S. siderea</i><span> coral colonies to generate a 278-year long multi-species stacked Sr/Ca-SST record from DTNP. The composite record of mean annual Sr/Ca-SST at DTNP shows pronounced decadal-scale variability with a range of 1 to 2°C. Notable cool intervals in the Sr/Ca-derived SST lasting about a decade centered at ~1845, ~1935, and ~1965 are associated with reduced summer Sr/Ca-SST (monthly maxima &lt;&nbsp;29°C), and imply a reduction in the spatial extent of the Atlantic Warm Pool (AWP). There is significant coherence between the composite DTNP Sr/Ca-SST record and the Atlantic Multidecadal Oscillation (AMO) index, with the AMO lagging Sr/Ca-SST at DTNP by 9&nbsp;years. Low frequency variability in the Gulf Stream surface transport, which originates near DTNP, may provide a link for the lagged relationship between multidecadal variability at DTNP and the AMO.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.palaeo.2016.10.022","usgsCitation":"Flannery, J.A., Richey, J.N., Thirumalai, K., Poore, R.Z., and DeLong, K.L., 2017, Multi-species coral Sr/Ca-based sea-surface temperature reconstruction using <i>Orbicella faveolata</i> and <i>Siderastrea siderea</i> from the Florida Straits: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 466, p. 100-109, https://doi.org/10.1016/j.palaeo.2016.10.022.","productDescription":"10 p.","startPage":"100","endPage":"109","numberOfPages":"10","ipdsId":"IP-073370","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470202,"rank":4,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.palaeo.2016.10.022","text":"Publisher Index Page"},{"id":331211,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":331307,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7V69GQ2","text":"Coral cores collected in Dry Tortugas National Park, Florida, U.S.A.: Photographs and X-rays"},{"id":337230,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://dx.doi.org/10.5066/F7CC0XS9","text":"Multi-species Coral Sr/Ca Based Sea-Surface Temperature Reconstruction Data Using Orbicella faveolata and Siderastrea siderea from Dry Tortugas National Park, Florida"}],"country":"United States","state":"Florida","otherGeospatial":"Straits of Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n 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jflannery@usgs.gov","orcid":"https://orcid.org/0000-0002-1692-2662","contributorId":4317,"corporation":false,"usgs":true,"family":"Flannery","given":"Jennifer","email":"jflannery@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":654273,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Richey, Julie N. 0000-0002-2319-7980 jrichey@usgs.gov","orcid":"https://orcid.org/0000-0002-2319-7980","contributorId":5182,"corporation":false,"usgs":true,"family":"Richey","given":"Julie","email":"jrichey@usgs.gov","middleInitial":"N.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":654275,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thirumalai, Kaustubh","contributorId":127444,"corporation":false,"usgs":false,"family":"Thirumalai","given":"Kaustubh","email":"","affiliations":[{"id":6732,"text":"Geological Sciences, University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":654276,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poore, Richard Z. rpoore@usgs.gov","contributorId":345,"corporation":false,"usgs":true,"family":"Poore","given":"Richard","email":"rpoore@usgs.gov","middleInitial":"Z.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":654274,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeLong, Kristine L.","contributorId":19249,"corporation":false,"usgs":true,"family":"DeLong","given":"Kristine","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":654272,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70189723,"text":"70189723 - 2017 - Computing spatial correlation of ground motion intensities for ShakeMap","interactions":[],"lastModifiedDate":"2018-02-07T19:04:11","indexId":"70189723","displayToPublicDate":"2016-11-23T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1315,"text":"Computers & Geosciences","printIssn":"0098-3004","active":true,"publicationSubtype":{"id":10}},"title":"Computing spatial correlation of ground motion intensities for ShakeMap","docAbstract":"Modeling the spatial correlation of ground motion residuals, caused by \ncoherent contributions from source, path, and site, can provide valuable loss \nand hazard information, as well as a more realistic depiction of ground motion \nintensities. The U.S. Geological Survey (USGS) software package, ShakeMap, \nutilizes a deterministic empirical approach to estimate median ground shaking \nin conjunction with observed seismic data. ShakeMap-based shaking estimates\n are used in concert with loss estimation algorithms to estimate fatalities and \neconomic losses after significant seismic events around the globe. Incorporating\n the spatial correlation of ground motion residuals has been shown to improve \nseismic loss estimates. In particular, Park, Bazzuro, and Baker (Applications of \nStatistics and Probability in Civil Engineering, 2007) investigated computing \nspatially correlated random fields of residuals. However, for large scale \nShakeMap grids, computational requirements of the method are prohibitive. \nIn this work, a memory efficient algorithm is developed to compute the random\n fields and implemented using the ShakeMap framework. This new, iterative \nparallel algorithm is based on decay properties of an associated ground motion\n correlation function and is shown to significantly reduce computational \nrequirements associated with adding spatial variability to the ShakeMap g\nround motion estimates. Further, we demonstrate and quantify the impact of \nadding peak ground motion spatial variability on resulting earthquake loss \nestimates.","language":"English","publisher":"Elsevier","doi":"10.1016/j.cageo.2016.11.004","usgsCitation":"Verros, S., Wald, D.J., Worden, C., Hearne, M., and Ganesh, M., 2017, Computing spatial correlation of ground motion intensities for ShakeMap: Computers & Geosciences, v. 99, p. 145-154, https://doi.org/10.1016/j.cageo.2016.11.004.","productDescription":"10 p. ","startPage":"145","endPage":"154","ipdsId":"IP-080243","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":344181,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"99","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"597312abe4b0ec1a488718de","contributors":{"authors":[{"text":"Verros, Sarah sverros@usgs.gov","contributorId":194960,"corporation":false,"usgs":true,"family":"Verros","given":"Sarah","email":"sverros@usgs.gov","affiliations":[],"preferred":true,"id":705936,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":705937,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Worden, Charles 0000-0003-1181-685X cbworden@usgs.gov","orcid":"https://orcid.org/0000-0003-1181-685X","contributorId":152042,"corporation":false,"usgs":true,"family":"Worden","given":"Charles","email":"cbworden@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":705938,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hearne, Mike 0000-0002-8225-2396 mhearne@usgs.gov","orcid":"https://orcid.org/0000-0002-8225-2396","contributorId":4659,"corporation":false,"usgs":true,"family":"Hearne","given":"Mike","email":"mhearne@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":705939,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ganesh, Mahadevan","contributorId":194961,"corporation":false,"usgs":false,"family":"Ganesh","given":"Mahadevan","email":"","affiliations":[],"preferred":false,"id":705940,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70178399,"text":"70178399 - 2017 - A serosurvey of Greater Sage-grouse (<i>Centrocercus urophasianus</i>) in Nevada, USA","interactions":[],"lastModifiedDate":"2017-01-10T13:25:18","indexId":"70178399","displayToPublicDate":"2016-11-17T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"A serosurvey of Greater Sage-grouse (<i>Centrocercus urophasianus</i>) in Nevada, USA","docAbstract":"<p><span>To better understand the potential avian diseases in Greater Sage-grouse (</span><i><i>Centrocercus urophasianus</i></i><span>) in the Great Basin in Nevada, we collected 31 blood samples March–April 2014 and tested for antibodies to eight viruses and two bacteria. Specifically, sera were tested for antibodies to avian leukosis virus type A, B, and J (ALV-A, ALV-B, and ALV-J, respectively), infectious bursal disease virus, infectious bronchitis virus, reticuloendothelial virus, avian influenza virus (AIV), West Nile virus, </span><i><i>Pasteurella multocida</i></i><span> (PM), and </span><i><i>Salmonella enterica</i></i><span> serovar Pullorum. Serum antibodies against ALV-A and -B (1/31, 3%), ALV-J (5/31, 16%), PM (1/31, 3%), and AIV (2/31, 6%) were detected by enzyme-linked immunosorbent assay (ELISA). While ELISA tests used have only been validated in domestic poultry, the serologic data should be used as a potential indicator of the range of bacterial and viral infectious agents that can infect the Greater Sage-grouse.</span></p>","language":"English","publisher":"Wildlife Disease Association","publisherLocation":"Lawrence, KS","doi":"10.7589/2015-10-285","usgsCitation":"Sinai, N.L., Coates, P.S., Andrle, K.M., Jefferis, C., Sentíes–Cué, C., and Pitesky, M.E., 2017, A serosurvey of Greater Sage-grouse (<i>Centrocercus urophasianus</i>) in Nevada, USA: Journal of Wildlife Diseases, v. 53, no. 1, p. 136-139, https://doi.org/10.7589/2015-10-285.","productDescription":"4 p.","startPage":"136","endPage":"139","ipdsId":"IP-075280","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":331093,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Gabriel","contributorId":176919,"corporation":false,"usgs":false,"family":"Sentíes–Cué","given":"C. Gabriel","affiliations":[],"preferred":false,"id":653973,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pitesky, Maurice E.","contributorId":176920,"corporation":false,"usgs":false,"family":"Pitesky","given":"Maurice","email":"","middleInitial":"E.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":653974,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70193787,"text":"70193787 - 2017 - AnimalFinder: A semi-automated system for animal detection in time-lapse camera trap images","interactions":[],"lastModifiedDate":"2017-11-08T13:22:20","indexId":"70193787","displayToPublicDate":"2016-11-16T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1457,"text":"Ecological Informatics","active":true,"publicationSubtype":{"id":10}},"title":"AnimalFinder: A semi-automated system for animal detection in time-lapse camera trap images","docAbstract":"<p><span>Although the use of camera traps in wildlife management is well established, technologies to automate image processing have been much slower in development, despite their potential to drastically reduce personnel time and cost required to review photos. We developed AnimalFinder in MATLAB® to identify animal presence in time-lapse camera trap images by comparing individual photos to all images contained within the subset of images (i.e. photos from the same survey and site), with some manual processing required to remove false positives and collect other relevant data (species, sex, etc.). We tested AnimalFinder on a set of camera trap images and compared the presence/absence results with manual-only review with white-tailed deer (</span><span><i><a title=\"Learn more about Odocoileus\" href=\"http://www.sciencedirect.com/topics/agricultural-and-biological-sciences/odocoileus\" data-mce-href=\"http://www.sciencedirect.com/topics/agricultural-and-biological-sciences/odocoileus\">Odocoileus</a></i><span>&nbsp;</span>virginianus</span><span>), wild pigs (</span><i>Sus scrofa</i><span>), and raccoons (</span><i>Procyon lotor</i><span>). We compared abundance estimates, model rankings, and coefficient estimates of detection and abundance for white-tailed deer using N-mixture models. AnimalFinder performance varied depending on a threshold value that affects program sensitivity to frequently occurring pixels in a series of images. Higher threshold values led to fewer false negatives (missed deer images) but increased manual processing time, but even at the highest threshold value, the program reduced the images requiring manual review by ~</span><span>40% and correctly identified &gt;</span><span>90% of deer, raccoon, and wild pig images. Estimates of white-tailed deer were similar between AnimalFinder and the manual-only method (~</span><span>1–2 deer difference, depending on the model), as were model rankings and coefficient estimates. Our results show that the program significantly reduced data processing time and may increase efficiency of camera trapping surveys.</span></p>","language":"English","publisher":"Elsevier ","doi":"10.1016/j.ecoinf.2016.11.003","usgsCitation":"Price Tack, J.L., West, B.S., McGowan, C.P., Ditchkoff, S.S., Reeves, S.J., Keever, A., and Grand, J.B., 2017, AnimalFinder: A semi-automated system for animal detection in time-lapse camera trap images: Ecological Informatics, v. 36, p. 145-151, https://doi.org/10.1016/j.ecoinf.2016.11.003.","productDescription":"6 p.","startPage":"145","endPage":"151","ipdsId":"IP-075973","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":348456,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a0425bde4b0dc0b45b453ca","contributors":{"authors":[{"text":"Price Tack, Jennifer L.","contributorId":200155,"corporation":false,"usgs":false,"family":"Price Tack","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[{"id":33694,"text":"School of Forestry and Wildlife Sciences, Auburn University","active":true,"usgs":false}],"preferred":false,"id":721188,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"West, Brian S.","contributorId":200157,"corporation":false,"usgs":false,"family":"West","given":"Brian","email":"","middleInitial":"S.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":721189,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGowan, Conor P. 0000-0002-7330-9581 cmcgowan@usgs.gov","orcid":"https://orcid.org/0000-0002-7330-9581","contributorId":167162,"corporation":false,"usgs":true,"family":"McGowan","given":"Conor","email":"cmcgowan@usgs.gov","middleInitial":"P.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":false,"id":720508,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ditchkoff, Stephen S.","contributorId":193053,"corporation":false,"usgs":false,"family":"Ditchkoff","given":"Stephen","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":721190,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reeves, Stanley J.","contributorId":200160,"corporation":false,"usgs":false,"family":"Reeves","given":"Stanley","email":"","middleInitial":"J.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":721191,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Keever, Allison","contributorId":187743,"corporation":false,"usgs":false,"family":"Keever","given":"Allison","email":"","affiliations":[],"preferred":false,"id":721192,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grand, J. Barry 0000-0002-3576-4567 barry_grand@usgs.gov","orcid":"https://orcid.org/0000-0002-3576-4567","contributorId":579,"corporation":false,"usgs":true,"family":"Grand","given":"J.","email":"barry_grand@usgs.gov","middleInitial":"Barry","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":720509,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70178374,"text":"70178374 - 2017 - Climate-induced glacier and snow loss imperils alpine stream insects","interactions":[],"lastModifiedDate":"2017-06-07T10:41:21","indexId":"70178374","displayToPublicDate":"2016-11-15T00:00:00","publicationYear":"2017","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":"Climate-induced glacier and snow loss imperils alpine stream insects","docAbstract":"<p><span>Climate warming is causing rapid loss of glaciers and snowpack in mountainous regions worldwide. These changes are predicted to negatively impact the habitats of many range-restricted species, particularly endemic, mountaintop species dependent on the unique thermal and hydrologic conditions found only in glacier-fed and snowmelt-driven alpine streams. Though progress has been made, existing understanding of the status, distribution, and ecology of alpine aquatic species, particularly in North America, is lacking, thereby hindering conservation and management programs. Two aquatic insects – the meltwater stonefly </span><i>Lednia tumana</i><span> and the glacier stonefly </span><i>Zapada glacier</i><span> – were recently proposed for listing under the U.S. Endangered Species Act due to climate-change-induced habitat loss. Using a large dataset (272 streams, 482 total sites) with high-resolution climate and habitat information, we describe the distribution, status, and key environmental features that limit </span><i>L. tumana</i><span> and </span><i>Z. glacier</i><span> across the northern Rocky Mountains. </span><i>Lednia tumana</i><span> was detected in 113 streams (175 sites) within Glacier National Park (GNP) and surrounding areas. The probability of </span><i>L. tumana</i><span> occurrence increased with cold stream temperatures and close proximity to glaciers and permanent snowfields. Similarly, densities of </span><i>L. tumana</i><span> declined with increasing distance from stream source. </span><i>Zapada glacier</i><span> was only detected in 10 streams (20 sites), six in GNP and four in mountain ranges up to ~600 km southwest. Our results show that both </span><i>L. tumana</i><span> and </span><i>Z. glacier</i><span> inhabit an extremely narrow distribution, restricted to short sections of cold, alpine streams often below glaciers predicted to disappear over the next two decades. Climate warming-induced glacier and snow loss clearly imperils the persistence of </span><i>L. tumana</i><span> and </span><i>Z. glacier</i><span> throughout their ranges, highlighting the role of mountaintop aquatic invertebrates as sentinels of climate change in mid-latitude regions.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13565","usgsCitation":"Giersch, J., Hotaling, S., Kovach, R., Jones, L.A., and Muhlfeld, C.C., 2017, Climate-induced glacier and snow loss imperils alpine stream insects: Global Change Biology, v. 23, no. 7, p. 2577-2589, https://doi.org/10.1111/gcb.13565.","productDescription":"13 p.","startPage":"2577","endPage":"2589","ipdsId":"IP-079238","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":331024,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"23","issue":"7","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-16","publicationStatus":"PW","scienceBaseUri":"582c2ce2e4b0c253be072bf6","contributors":{"authors":[{"text":"Giersch, J. Joseph 0000-0001-7818-3941 jgiersch@usgs.gov","orcid":"https://orcid.org/0000-0001-7818-3941","contributorId":4022,"corporation":false,"usgs":true,"family":"Giersch","given":"J. Joseph","email":"jgiersch@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":false,"id":653826,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hotaling, Scott 0000-0002-5965-0986","orcid":"https://orcid.org/0000-0002-5965-0986","contributorId":176860,"corporation":false,"usgs":false,"family":"Hotaling","given":"Scott","email":"","affiliations":[],"preferred":false,"id":653827,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kovach, Ryan 0000-0001-5402-2123 rkovach@usgs.gov","orcid":"https://orcid.org/0000-0001-5402-2123","contributorId":145914,"corporation":false,"usgs":true,"family":"Kovach","given":"Ryan","email":"rkovach@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":653828,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, Leslie A. 0000-0002-4953-7189 lajones@usgs.gov","orcid":"https://orcid.org/0000-0002-4953-7189","contributorId":4599,"corporation":false,"usgs":true,"family":"Jones","given":"Leslie","email":"lajones@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":653829,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":653830,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70178324,"text":"70178324 - 2017 - Removing sun glint from optical remote sensing images of shallow rivers","interactions":[],"lastModifiedDate":"2017-02-02T11:06:27","indexId":"70178324","displayToPublicDate":"2016-11-15T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Removing sun glint from optical remote sensing images of shallow rivers","docAbstract":"<p><span>Sun glint is the specular reflection of light from the water surface, which often causes unusually bright pixel values that can dominate fluvial remote sensing imagery and obscure the water-leaving radiance signal of interest for mapping bathymetry, bottom type, or water column optical characteristics. Although sun glint is ubiquitous in fluvial remote sensing imagery, river-specific methods for removing sun glint are not yet available. We show that existing sun glint-removal methods developed for multispectral images of marine shallow water environments over-correct shallow portions of fluvial remote sensing imagery resulting in regions of unreliable data along channel margins. We build on existing marine glint-removal methods to develop a river-specific technique that removes sun glint from shallow areas of the channel without overcorrection by accounting for non-negligible water-leaving near-infrared radiance. This new sun glint-removal method can improve the accuracy of spectrally-based depth retrieval in cases where sun glint dominates the at-sensor radiance. For an example image of the gravel-bed Snake River, Wyoming, USA, observed-vs.-predicted </span><i>R<sup>2</sup></i><span> values for depth retrieval improved from 0.66 to 0.76 following sun glint removal. The methodology presented here is straightforward to implement and could be incorporated into image processing workflows for multispectral images that include a near-infrared band. </span></p>","language":"English","publisher":"Wiley","doi":"10.1002/esp.4063","usgsCitation":"Overstreet, B.T., and Legleiter, C.J., 2017, Removing sun glint from optical remote sensing images of shallow rivers: Earth Surface Processes and Landforms, v. 42, no. 2, p. 318-333, https://doi.org/10.1002/esp.4063.","productDescription":"16 p.","startPage":"318","endPage":"333","ipdsId":"IP-073666","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":331014,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-29","publicationStatus":"PW","scienceBaseUri":"582c2ce4e4b0c253be072c00","contributors":{"authors":[{"text":"Overstreet, Brandon T. 0000-0001-7845-6671","orcid":"https://orcid.org/0000-0001-7845-6671","contributorId":63257,"corporation":false,"usgs":true,"family":"Overstreet","given":"Brandon","email":"","middleInitial":"T.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":653837,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":653838,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70178376,"text":"70178376 - 2017 - Development of the oriental latrine fly, <i>Chrysomya megacephala</i> (Diptera: Calliphoridae), at five constant temperatures","interactions":[],"lastModifiedDate":"2017-03-22T14:58:15","indexId":"70178376","displayToPublicDate":"2016-11-15T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2385,"text":"Journal of Medical Entomology","active":true,"publicationSubtype":{"id":10}},"title":"Development of the oriental latrine fly, <i>Chrysomya megacephala</i> (Diptera: Calliphoridae), at five constant temperatures","docAbstract":"<p><i>Chrysomya megacephala</i><span> (Fabricius) is a forensically important fly that is found throughout the tropics and subtropics. We calculated the accumulated development time and transition points for each life stage from eclosion to adult emergence at five constant temperatures: 15, 20, 25, 30, and 35 °C. For each transition, the 10th, 50th, and 90th percentiles were calculated with a logistic linear model. The mean transition times and % survivorship were determined directly from the raw laboratory data. Development times of </span><i>C. megacephala</i><span> were compared with that of two other closely related species, </span><i>Chrysomya rufifacies</i><span> (Macquart) and </span><i>Phormia regina</i><span> (Meigen). Ambient and larval mass temperatures were collected from field studies conducted from 2001–2004. Field study data indicated that adult fly activity was reduced at lower ambient temperatures, but once a larval mass was established, heat generation occurred. These development times and durations can be used for estimation of a postmortem interval (PMI).</span></p>","language":"English","publisher":"Oxford University Press ","doi":"10.1093/jme/tjw169","usgsCitation":"Gruner, S.V., Slone, D., Capinera, J., and Turco, M.P., 2017, Development of the oriental latrine fly, <i>Chrysomya megacephala</i> (Diptera: Calliphoridae), at five constant temperatures: Journal of Medical Entomology, v. 54, no. 2, p. 290-298, https://doi.org/10.1093/jme/tjw169.","productDescription":"9 p.","startPage":"290","endPage":"298","ipdsId":"IP-059412","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":331020,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-04","publicationStatus":"PW","scienceBaseUri":"582c2ce1e4b0c253be072bf2","contributors":{"authors":[{"text":"Gruner, S. V.","contributorId":176868,"corporation":false,"usgs":false,"family":"Gruner","given":"S.","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":653841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slone, D. H. 0000-0002-9903-9727","orcid":"https://orcid.org/0000-0002-9903-9727","contributorId":33040,"corporation":false,"usgs":true,"family":"Slone","given":"D. H.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":653842,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Capinera, J.L.","contributorId":38780,"corporation":false,"usgs":true,"family":"Capinera","given":"J.L.","email":"","affiliations":[],"preferred":false,"id":653843,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Turco, M. P.","contributorId":176867,"corporation":false,"usgs":false,"family":"Turco","given":"M.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":653844,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70178218,"text":"70178218 - 2017 - Detection limits of quantitative and digital PCR assays and their influence in presence-absence surveys of environmental DNA","interactions":[],"lastModifiedDate":"2017-02-24T10:51:24","indexId":"70178218","displayToPublicDate":"2016-11-07T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2776,"text":"Molecular Ecology Resources","active":true,"publicationSubtype":{"id":10}},"title":"Detection limits of quantitative and digital PCR assays and their influence in presence-absence surveys of environmental DNA","docAbstract":"<p><span>A set of universal guidelines is needed to determine the limit of detection (LOD) in PCR-based analyses of low concentration DNA. In particular, environmental DNA (eDNA) studies require sensitive and reliable methods to detect rare and cryptic species through shed genetic material in environmental samples. Current strategies for assessing detection limits of eDNA are either too stringent or subjective, possibly resulting in biased estimates of species’ presence. Here, a conservative LOD analysis grounded in analytical chemistry is proposed to correct for overestimated DNA concentrations predominantly caused by the concentration plateau, a nonlinear relationship between expected and measured DNA concentrations. We have used statistical criteria to establish formal mathematical models for both quantitative and droplet digital PCR. To assess the method, a new Grass Carp (</span><i>Ctenopharyngodon idella</i><span>) TaqMan assay was developed and tested on both PCR platforms using eDNA in water samples. The LOD adjustment reduced Grass Carp occupancy and detection estimates while increasing uncertainty – indicating that caution needs to be applied to eDNA data without LOD correction. Compared to quantitative PCR, digital PCR had higher occurrence estimates due to increased sensitivity and dilution of inhibitors at low concentrations. Without accurate LOD correction, species occurrence and detection probabilities based on eDNA estimates are prone to a source of bias that cannot be reduced by an increase in sample size or PCR replicates. Other applications also could benefit from a standardized LOD such as GMO food analysis, and forensic and clinical diagnostics.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/1755-0998.12619","usgsCitation":"Hunter, M., Dorazio, R.M., Butterfield, J.S., Meigs-Friend, G., Nico, L., and Ferrante, J.A., 2017, Detection limits of quantitative and digital PCR assays and their influence in presence-absence surveys of environmental DNA: Molecular Ecology Resources, v. 17, no. 2, p. 221-229, https://doi.org/10.1111/1755-0998.12619.","productDescription":"9 p.","startPage":"221","endPage":"229","ipdsId":"IP-074405","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":330858,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-20","publicationStatus":"PW","scienceBaseUri":"5821a0dce4b02f1a881de968","chorus":{"doi":"10.1111/1755-0998.12619","url":"http://dx.doi.org/10.1111/1755-0998.12619","publisher":"Wiley-Blackwell","authors":"Hunter Margaret E., Dorazio Robert M., Butterfield John S. S., Meigs-Friend Gaia, Nico Leo G., Ferrante Jason A.","journalName":"Molecular Ecology Resources","publicationDate":"11/20/2016","auditedOn":"12/19/2016","publiclyAccessibleDate":"11/20/2016"},"contributors":{"authors":[{"text":"Hunter, Margaret 0000-0002-4760-9302 mhunter@usgs.gov","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":140627,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret","email":"mhunter@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":653305,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dorazio, Robert M. 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":1668,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","middleInitial":"M.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":653306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Butterfield, John S. jbutterfield@usgs.gov","contributorId":5593,"corporation":false,"usgs":true,"family":"Butterfield","given":"John","email":"jbutterfield@usgs.gov","middleInitial":"S.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":653307,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meigs-Friend, Gaia 0000-0001-5181-7510 gmeigs-friend@usgs.gov","orcid":"https://orcid.org/0000-0001-5181-7510","contributorId":4688,"corporation":false,"usgs":true,"family":"Meigs-Friend","given":"Gaia","email":"gmeigs-friend@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":653308,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nico, Leo 0000-0002-4488-7737 lnico@usgs.gov","orcid":"https://orcid.org/0000-0002-4488-7737","contributorId":138599,"corporation":false,"usgs":true,"family":"Nico","given":"Leo","email":"lnico@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":653309,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ferrante, Jason A. 0000-0003-3453-4636 jferrante@usgs.gov","orcid":"https://orcid.org/0000-0003-3453-4636","contributorId":176726,"corporation":false,"usgs":true,"family":"Ferrante","given":"Jason","email":"jferrante@usgs.gov","middleInitial":"A.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":653310,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70178063,"text":"70178063 - 2017 - Combining citizen science species distribution models and stable isotopes reveals migratory connectivity in the secretive Virginia rail","interactions":[],"lastModifiedDate":"2017-03-22T15:00:13","indexId":"70178063","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Combining citizen science species distribution models and stable isotopes reveals migratory connectivity in the secretive Virginia rail","docAbstract":"<ol id=\"jpe12723-list-0001\" class=\"o-list--numbered o-list--paragraph\"><li>Stable hydrogen isotope (δD) methods for tracking animal movement are widely used yet often produce low resolution assignments. Incorporating prior knowledge of abundance, distribution or movement patterns can ameliorate this limitation, but data are lacking for most species. We demonstrate how observations reported by citizen scientists can be used to develop robust estimates of species distributions and to constrain δD assignments.</li><li>We developed a Bayesian framework to refine isotopic estimates of migrant animal origins conditional on species distribution models constructed from citizen scientist observations. To illustrate this approach, we analysed the migratory connectivity of the Virginia rail <i>Rallus limicola</i>, a secretive and declining migratory game bird in North America.</li><li>Citizen science observations enabled both estimation of sampling bias and construction of bias-corrected species distribution models. Conditioning δD assignments on these species distribution models yielded comparably high-resolution assignments.</li><li>Most Virginia rails wintering across five Gulf Coast sites spent the previous summer near the Great Lakes, although a considerable minority originated from the Chesapeake Bay watershed or Prairie Pothole region of North Dakota. Conversely, the majority of migrating Virginia rails from a site in the Great Lakes most likely spent the previous winter on the Gulf Coast between Texas and Louisiana.</li><li><i>Synthesis and applications</i>. In this analysis, Virginia rail migratory connectivity does not fully correspond to the administrative flyways used to manage migratory birds. This example demonstrates that with the increasing availability of citizen science data to create species distribution models, our framework can produce high-resolution estimates of migratory connectivity for many animals, including cryptic species. Empirical evidence of links between seasonal habitats will help enable effective habitat management, hunting quotas and population monitoring and also highlight critical knowledge gaps.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.12723","usgsCitation":"Fournier, A., Sullivan, A.R., Bump, J.K., Perkins, M., Shieldcastle, M.C., and King, S.L., 2017, Combining citizen science species distribution models and stable isotopes reveals migratory connectivity in the secretive Virginia rail: Journal of Applied Ecology, v. 54, no. 2, p. 618-627, https://doi.org/10.1111/1365-2664.12723.","productDescription":"10 p.","startPage":"618","endPage":"627","ipdsId":"IP-064836","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":470208,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.12723","text":"Publisher Index Page"},{"id":330642,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-13","publicationStatus":"PW","scienceBaseUri":"5819a9c0e4b0bb36a4c90fff","contributors":{"authors":[{"text":"Fournier, Auriel M. V.","contributorId":176535,"corporation":false,"usgs":false,"family":"Fournier","given":"Auriel M. V.","affiliations":[],"preferred":false,"id":652704,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sullivan, Alexis R.","contributorId":176536,"corporation":false,"usgs":false,"family":"Sullivan","given":"Alexis","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":652705,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bump, Joseph K.","contributorId":176538,"corporation":false,"usgs":false,"family":"Bump","given":"Joseph","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":652706,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perkins, Marie","contributorId":22957,"corporation":false,"usgs":false,"family":"Perkins","given":"Marie","email":"","affiliations":[],"preferred":false,"id":685742,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shieldcastle, Mark C.","contributorId":189699,"corporation":false,"usgs":false,"family":"Shieldcastle","given":"Mark","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":685743,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"King, Sammy L. 0000-0002-5364-6361 sking@usgs.gov","orcid":"https://orcid.org/0000-0002-5364-6361","contributorId":557,"corporation":false,"usgs":true,"family":"King","given":"Sammy","email":"sking@usgs.gov","middleInitial":"L.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":652689,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70177951,"text":"70177951 - 2017 - Groundwater response to the 2014 pulse flow in the Colorado River Delta","interactions":[],"lastModifiedDate":"2019-12-19T07:08:23","indexId":"70177951","displayToPublicDate":"2016-10-31T00:00:00","publicationYear":"2017","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":"Groundwater response to the 2014 pulse flow in the Colorado River Delta","docAbstract":"<p><span>During the March-May 2014 Colorado River Delta pulse flow, approximately 102&nbsp;×&nbsp;10</span><sup>6</sup><span>&nbsp;m</span><sup>3</sup><span> (82,000 acre-feet) of water was released into the channel at Morelos Dam, with additional releases further downstream. The majority of pulse flow water infiltrated and recharged the regional aquifer. Using groundwater-level and microgravity data we mapped the spatial and temporal distribution of changes in aquifer storage associated with pulse flow. Surface-water losses to infiltration were greatest around the Southerly International Boundary, where a lowered groundwater level owing to nearby pumping created increased storage potential as compared to other areas with shallower groundwater. Groundwater levels were elevated for several months after the pulse flow but had largely returned to pre-pulse levels by fall 2014. Elevated groundwater levels in the limitrophe (border) reach extended about 2&nbsp;km to the east around the midway point between the Northerly and Southerly International Boundaries, and about 4&nbsp;km to the east at the southern end. In the southern part of the delta, although total streamflow in the channel was less due to upstream infiltration, augmented deliveries through irrigation canals and possible irrigation return flows created sustained increases in groundwater levels during summer 2014. Results show that elevated groundwater levels and increases in groundwater storage were relatively short lived (confined to calendar year 2014), and that depressed water levels associated with groundwater pumping around San Luis, Arizona and San Luis Rio Colorado, Sonora cause large, unavoidable infiltration losses of in-channel water to groundwater in the vicinity.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2016.10.072","usgsCitation":"Kennedy, J.R., Rodriguez-Burgueno, E., and Ramirez-Hernandez, J., 2017, Groundwater response to the 2014 pulse flow in the Colorado River Delta: Ecological Engineering, v. 106, no. B, p. 715-724, https://doi.org/10.1016/j.ecoleng.2016.10.072.","productDescription":"10 p.","startPage":"715","endPage":"724","ipdsId":"IP-073836","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":470210,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoleng.2016.10.072","text":"Publisher Index Page"},{"id":330575,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Mexico","otherGeospatial":"Colorado River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.71923828124999,\n              32.699488680852674\n            ],\n            [\n              -114.873046875,\n              32.80574473290688\n            ],\n            [\n              -117.1636962890625,\n              32.602361666817515\n            ],\n            [\n              -117.3175048828125,\n              32.46806060917602\n            ],\n            [\n              -116.3232421875,\n              30.850363469502362\n            ],\n            [\n              -114.5928955078125,\n              31.695455797778713\n            ],\n            [\n              -114.71923828124999,\n              32.699488680852674\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"106","issue":"B","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5818582de4b0bb36a4c6fa0d","contributors":{"authors":[{"text":"Kennedy, Jeffrey R. 0000-0002-3365-6589 jkennedy@usgs.gov","orcid":"https://orcid.org/0000-0002-3365-6589","contributorId":176478,"corporation":false,"usgs":true,"family":"Kennedy","given":"Jeffrey","email":"jkennedy@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":652458,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodriguez-Burgueno, Eliana 0000-0002-5590-6606","orcid":"https://orcid.org/0000-0002-5590-6606","contributorId":176492,"corporation":false,"usgs":false,"family":"Rodriguez-Burgueno","given":"Eliana","email":"","affiliations":[],"preferred":false,"id":652510,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ramirez-Hernandez, Jorge","contributorId":176218,"corporation":false,"usgs":false,"family":"Ramirez-Hernandez","given":"Jorge","affiliations":[],"preferred":false,"id":652511,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70177934,"text":"70177934 - 2017 - Climate, invasive species and land use drive population dynamics of a cold-water specialist","interactions":[],"lastModifiedDate":"2017-03-22T15:01:31","indexId":"70177934","displayToPublicDate":"2016-10-27T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Climate, invasive species and land use drive population dynamics of a cold-water specialist","docAbstract":"<ol id=\"jpe12766-list-0001\" class=\"o-list--numbered o-list--paragraph\"><li>Climate change is an additional stressor in a complex suite of threats facing freshwater biodiversity, particularly for cold-water fishes. Research addressing the consequences of climate change on cold-water fish has generally focused on temperature limits defining spatial distributions, largely ignoring how climatic variation influences population dynamics in the context of other existing stressors.</li><li>We used long-term data from 92 populations of bull trout <i>Salvelinus confluentus</i> – one of North America's most cold-adapted fishes – to quantify additive and interactive effects of climate, invasive species and land use on population dynamics (abundance, variability and growth rate).</li><li>Populations were generally depressed, more variable and declining where spawning and rearing stream habitat was limited, invasive species and land use were prevalent and stream temperatures were highest. Increasing stream temperature acted additively and independently, whereas land use and invasive species had additive and interactive effects (i.e. the impact of one stressor depended on exposure to the other stressor).</li><li>Most (58%–78%) of the explained variation in population dynamics was attributed to the presence of invasive species, differences in life history and management actions in foraging habitats in rivers, lakes and reservoirs. Although invasive fishes had strong negative effects on populations in foraging habitats, proactive control programmes appeared to effectively temper their negative impact.</li><li><i>Synthesis and applications</i>. Long-term demographic data emphasize that climate warming&nbsp;will exacerbate imperilment of cold-water specialists like bull trout, yet other stressors – especially invasive fishes – are immediate threats that can be addressed by proactive management actions. Therefore, climate-adaptation strategies for freshwater biodiversity&nbsp;should consider existing abiotic and biotic stressors, some of which provide potential&nbsp;and realized opportunity for conservation of freshwater biodiversity in a warming world.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.12766","usgsCitation":"Kovach, R.P., Al-Chokhachy, R.K., Whited, D.C., Schmetterling, D.A., Dux, A.M., and Muhlfeld, C.C., 2017, Climate, invasive species and land use drive population dynamics of a cold-water specialist: Journal of Applied Ecology, v. 54, no. 2, p. 638-647, https://doi.org/10.1111/1365-2664.12766.","productDescription":"10 p.","startPage":"638","endPage":"647","ipdsId":"IP-073215","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":488532,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.12766","text":"Publisher Index Page"},{"id":330511,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-05","publicationStatus":"PW","scienceBaseUri":"5813125be4b0b5a0c12ab640","chorus":{"doi":"10.1111/1365-2664.12766","url":"http://dx.doi.org/10.1111/1365-2664.12766","publisher":"Wiley-Blackwell","authors":"Kovach Ryan P., Al-Chokhachy Robert, Whited Diane C., Schmetterling David A., Dux Andrew M., Muhlfeld Clint C.","journalName":"Journal of Applied Ecology","publicationDate":"9/5/2016","publiclyAccessibleDate":"9/5/2016"},"contributors":{"authors":[{"text":"Kovach, Ryan P. rkovach@usgs.gov","contributorId":5772,"corporation":false,"usgs":true,"family":"Kovach","given":"Ryan","email":"rkovach@usgs.gov","middleInitial":"P.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":false,"id":652419,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Al-Chokhachy, Robert K. 0000-0002-2136-5098 ral-chokhachy@usgs.gov","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":1674,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","email":"ral-chokhachy@usgs.gov","middleInitial":"K.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":652420,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whited, Diane C.","contributorId":145916,"corporation":false,"usgs":false,"family":"Whited","given":"Diane","email":"","middleInitial":"C.","affiliations":[{"id":16296,"text":"University of Montana, Polson Montana 59860 USA","active":true,"usgs":false}],"preferred":false,"id":652421,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmetterling, David A.","contributorId":20223,"corporation":false,"usgs":true,"family":"Schmetterling","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":652422,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dux, Andrew M.","contributorId":175256,"corporation":false,"usgs":false,"family":"Dux","given":"Andrew","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":652423,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":652424,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70178213,"text":"70178213 - 2017 - Breeding birds in managed forests on public conservation lands in the Mississippi Alluvial Valley","interactions":[],"lastModifiedDate":"2016-11-10T09:05:19","indexId":"70178213","displayToPublicDate":"2016-10-27T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Breeding birds in managed forests on public conservation lands in the Mississippi Alluvial Valley","docAbstract":"<p><span>Managers of public conservation lands in the Mississippi Alluvial Valley have implemented forest management strategies to improve bottomland hardwood habitat for target wildlife species. Through implementation of various silvicultural practices, forest managers have sought to attain forest structural conditions (e.g.,&nbsp;canopy cover, basal area, etc.) within values postulated to benefit wildlife. We evaluated data from point count surveys of breeding birds on 180 silviculturally treated stands (1049 counts) that ranged from 1 to 20&nbsp;years&nbsp;post-treatment and 134 control stands (676 counts) that had not been harvested for &gt;20&nbsp;years. Birds detected during 10-min counts were recorded within four distance classes and three time intervals. Avian diversity was greater on treated stands than on unharvested stands. Of 42 commonly detected species, six species including Prothonotary Warbler (</span><i>Prothonotaria citrea</i><span>) and Acadian Flycatcher (</span><i>Empidonax virescens</i><span>) were indicative of control stands. Similarly, six species including Indigo Bunting (</span><i>Passerina cyanea</i><span>) and Yellow-breasted Chat (</span><i>Icteria virens</i><span>) were indicative of treated stands. Using a removal model to assess probability of detection, we evaluated occupancy of bottomland forests at two spatial scales (stands and points within occupied stands). Wildlife-forestry treatment improved predictive models of species occupancy for 18 species. We found years post treatment (range&nbsp;=&nbsp;1–20), total basal area, and overstory canopy were important species-specific predictors of occupancy, whereas variability in basal area was not. In addition, we used a removal model to estimate species-specific probability of availability for detection, and a distance model to estimate effective detection radius. We used these two estimated parameters to derive species densities and 95% confidence intervals for treated and unharvested stands. Avian densities differed between treated and control stands for 16 species, but only Common Yellowthroat (</span><i>Geothlypis trichas</i><span>) and Yellow-breasted Chat had greater densities on treated stands.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2016.10.031","usgsCitation":"Twedt, D.J., and Wilson, R.R., 2017, Breeding birds in managed forests on public conservation lands in the Mississippi Alluvial Valley: Forest Ecology and Management, v. 384, p. 180-190, https://doi.org/10.1016/j.foreco.2016.10.031.","productDescription":"11 p.","startPage":"180","endPage":"190","ipdsId":"IP-074454","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":330859,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":" Mississippi Alluvial Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  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Center","active":true,"usgs":true}],"preferred":true,"id":653261,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilson, R. Randy","contributorId":100287,"corporation":false,"usgs":true,"family":"Wilson","given":"R.","email":"","middleInitial":"Randy","affiliations":[],"preferred":false,"id":653262,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70177984,"text":"70177984 - 2017 - Improving spatio-temporal benefit transfers for pest control by generalist predators in cotton in the southwestern U.S.","interactions":[],"lastModifiedDate":"2020-09-01T14:19:50.040593","indexId":"70177984","displayToPublicDate":"2016-10-25T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2029,"text":"International Journal of Biodiversity Science, Ecosystem Services and Management","active":true,"publicationSubtype":{"id":10}},"title":"Improving spatio-temporal benefit transfers for pest control by generalist predators in cotton in the southwestern U.S.","docAbstract":"<p><span>Given rapid changes in agricultural practice, it is critical to understand how alterations in ecological, technological, and economic conditions over time and space impact ecosystem services in agroecosystems. Here, we present a benefit transfer approach to quantify cotton pest-control services provided by a generalist predator, the Mexican free-tailed bat (</span><i>Tadarida brasiliensis mexicana</i><span>), in the southwestern United States. We show that pest-control estimates derived using (1) a </span><i>compound spatial</i><span>–</span><i>temporal</i><span> model – which incorporates spatial and temporal variability in crop pest-control service values – are likely to exhibit less error than those derived using (2) a </span><i>simple-spatial</i><span> model (i.e., a model that extrapolates values derived for one area directly, without adjustment, to other areas) or (3) a </span><i>simple-temporal</i><span> model (i.e., a model that extrapolates data from a few points in time over longer time periods). Using our compound spatial–temporal approach, the annualized pest-control value was \\$12.2 million, in contrast to an estimate of \\$70.1 million (5.7 times greater), obtained from the simple-spatial approach. Using estimates from one year (simple-temporal approach) revealed large value differences (0.4 times smaller to 2 times greater). Finally, we present a detailed protocol for valuing pest-control services, which can be used to develop robust pest-control transfer functions for generalist predators in agroecosystems.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/21513732.2016.1240712","usgsCitation":"Wiederholt, R., Bagstad, K.J., McCracken, G.F., Diffendorfer, J.E., Loomis, J., Semmens, D.J., Russell, A.L., Sansone, C., LaSharr, K., Cryan, P.M., Reynoso, C., Medellin, R., and Lopez-Hoffman, L., 2017, Improving spatio-temporal benefit transfers for pest control by generalist predators in cotton in the southwestern U.S.: International Journal of Biodiversity Science, Ecosystem Services and Management, v. 13, no. 1, p. 27-39, https://doi.org/10.1080/21513732.2016.1240712.","productDescription":"13 p.","startPage":"27","endPage":"39","ipdsId":"IP-056064","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science 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Center","active":true,"usgs":true}],"preferred":true,"id":652488,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCracken, Gary F.","contributorId":94789,"corporation":false,"usgs":true,"family":"McCracken","given":"Gary","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":652489,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diffendorfer, Jay E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":55137,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"Jay","email":"jediffendorfer@usgs.gov","middleInitial":"E.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":652490,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loomis, John B.","contributorId":27560,"corporation":false,"usgs":true,"family":"Loomis","given":"John B.","affiliations":[],"preferred":false,"id":652491,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Semmens, Darius J. 0000-0001-7924-6529 dsemmens@usgs.gov","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":1714,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius","email":"dsemmens@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":652492,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Russell, Amy L.","contributorId":143710,"corporation":false,"usgs":false,"family":"Russell","given":"Amy","email":"","middleInitial":"L.","affiliations":[{"id":15305,"text":"Grand Valley State University","active":true,"usgs":false}],"preferred":false,"id":652493,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sansone, Chris","contributorId":44832,"corporation":false,"usgs":true,"family":"Sansone","given":"Chris","email":"","affiliations":[],"preferred":false,"id":652494,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"LaSharr, Kelsie","contributorId":108397,"corporation":false,"usgs":true,"family":"LaSharr","given":"Kelsie","email":"","affiliations":[],"preferred":false,"id":652495,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cryan, Paul M. 0000-0002-2915-8894 cryanp@usgs.gov","orcid":"https://orcid.org/0000-0002-2915-8894","contributorId":147942,"corporation":false,"usgs":true,"family":"Cryan","given":"Paul","email":"cryanp@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":652496,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Reynoso, Claudia","contributorId":176490,"corporation":false,"usgs":false,"family":"Reynoso","given":"Claudia","email":"","affiliations":[],"preferred":false,"id":652497,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Medellin, Rodrigo A.","contributorId":77456,"corporation":false,"usgs":true,"family":"Medellin","given":"Rodrigo A.","affiliations":[],"preferred":false,"id":652498,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lopez-Hoffman, Laura","contributorId":149127,"corporation":false,"usgs":false,"family":"Lopez-Hoffman","given":"Laura","affiliations":[{"id":17654,"text":"School of Natural Resources & the Environment and Udall Center for Studies in Public Policy, The University of Arizona, Tucson","active":true,"usgs":false}],"preferred":false,"id":652499,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70177026,"text":"70177026 - 2017 - Larval aquatic insect responses to cadmium and zinc in experimental streams","interactions":[],"lastModifiedDate":"2017-02-24T10:59:27","indexId":"70177026","displayToPublicDate":"2016-10-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Larval aquatic insect responses to cadmium and zinc in experimental streams","docAbstract":"<p><span>To evaluate the risks of metal mixture effects to natural stream communities under ecologically relevant conditions, the authors conducted 30-d tests with benthic macroinvertebrates exposed to cadmium (Cd) and zinc (Zn) in experimental streams. The simultaneous exposures were with Cd and Zn singly and with Cd+Zn mixtures at environmentally relevant ratios. The tests produced concentration–response patterns that for individual taxa were interpreted in the same manner as classic single-species toxicity tests and for community metrics such as taxa richness and mayfly (Ephemeroptera) abundance were interpreted in the same manner as with stream survey data. Effect concentrations from the experimental stream exposures were usually 2 to 3 orders of magnitude lower than those from classic single-species tests. Relative to a response addition model, which assumes that the joint toxicity of the mixtures can be predicted from the product of their responses to individual toxicants, the Cd+Zn mixtures generally showed slightly less than additive toxicity. The authors applied a modeling approach called Tox to explore the mixture toxicity results and to relate the experimental stream results to field data. The approach predicts the accumulation of toxicants (hydrogen, Cd, and Zn) on organisms using a 2-p</span><i>K</i><sub>a</sub><span> bidentate model that defines interactions between dissolved cations and biological receptors (biotic ligands) and relates that accumulation through a logistic equation to biological response. The Tox modeling was able to predict Cd+Zn mixture responses from the single-metal exposures as well as responses from field data. The similarity of response patterns between the 30-d experimental stream tests and field data supports the environmental relevance of testing aquatic insects in experimental streams.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/etc.3599","usgsCitation":"Mebane, C.A., Schmidt, T., and Balistrieri, L.S., 2017, Larval aquatic insect responses to cadmium and zinc in experimental streams: Environmental Toxicology and Chemistry, v. 36, no. 3, p. 749-762, https://doi.org/10.1002/etc.3599.","productDescription":"14 p.","startPage":"749","endPage":"762","ipdsId":"IP-073601","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":329736,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-19","publicationStatus":"PW","scienceBaseUri":"58088687e4b0f497e78e24c5","contributors":{"authors":[{"text":"Mebane, Christopher A. 0000-0002-9089-0267 cmebane@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-0267","contributorId":110,"corporation":false,"usgs":true,"family":"Mebane","given":"Christopher","email":"cmebane@usgs.gov","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":651033,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":651034,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Balistrieri, Laurie S. 0000-0002-6359-3849 balistri@usgs.gov","orcid":"https://orcid.org/0000-0002-6359-3849","contributorId":1406,"corporation":false,"usgs":true,"family":"Balistrieri","given":"Laurie","email":"balistri@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":651032,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70170420,"text":"70170420 - 2017 - Camera system considerations for geomorphic applications of SfM photogrammetry","interactions":[],"lastModifiedDate":"2017-05-08T12:04:27","indexId":"70170420","displayToPublicDate":"2016-10-19T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Camera system considerations for geomorphic applications of SfM photogrammetry","docAbstract":"<p>The availability of high-resolution, multi-temporal, remotely sensed topographic data is revolutionizing geomorphic analysis. Three-dimensional topographic point measurements acquired from structure-from-motion (SfM) photogrammetry have been shown to be highly accurate and cost-effective compared to laser-based alternatives in some environments. Use of consumer-grade digital cameras to generate terrain models and derivatives is becoming prevalent within the geomorphic community despite the details of these instruments being largely overlooked in current SfM literature. This article is protected by copyright. All rights reserved.</p><p>A practical discussion of camera system selection, configuration, and image acquisition is presented. The hypothesis that optimizing source imagery can increase digital terrain model (DTM) accuracy is tested by evaluating accuracies of four SfM datasets conducted over multiple years of a gravel bed river floodplain using independent ground check points with the purpose of comparing morphological sediment budgets computed from SfM- and lidar-derived DTMs. Case study results are compared to existing SfM validation studies in an attempt to deconstruct the principle components of an SfM error budget. This article is protected by copyright. All rights reserved.</p><p>Greater information capacity of source imagery was found to increase pixel matching quality, which produced 8 times greater point density and 6 times greater accuracy. When propagated through volumetric change analysis, individual DTM accuracy (6–37 cm) was sufficient to detect moderate geomorphic change (order 100,000 m<sup>3</sup>) on an unvegetated fluvial surface; change detection determined from repeat lidar and SfM surveys differed by about 10%. Simple camera selection criteria increased accuracy by 64%; configuration settings or image post-processing techniques increased point density by 5–25% and decreased processing time by 10–30%. This article is protected by copyright. All rights reserved.</p><p>Regression analysis of 67 reviewed datasets revealed that the best explanatory variable to predict accuracy of SfM data is photographic scale. Despite the prevalent use of object distance ratios to describe scale, nominal ground sample distance is shown to be a superior metric, explaining 68% of the variability in mean absolute vertical error.</p>","language":"English","publisher":"Wiley","doi":"10.1002/esp.4066","usgsCitation":"Mosbrucker, A.R., Major, J.J., Spicer, K.R., and Pitlick, J., 2017, Camera system considerations for geomorphic applications of SfM photogrammetry: Earth Surface Processes and Landforms, v. 42, no. 6, p. 969-986, https://doi.org/10.1002/esp.4066.","productDescription":"18 p.","startPage":"969","endPage":"986","ipdsId":"IP-060527","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":330899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-03","publicationStatus":"PW","scienceBaseUri":"582443f4e4b09065cdf3051a","contributors":{"authors":[{"text":"Mosbrucker, Adam R. 0000-0003-0298-0324 amosbrucker@usgs.gov","orcid":"https://orcid.org/0000-0003-0298-0324","contributorId":4968,"corporation":false,"usgs":true,"family":"Mosbrucker","given":"Adam","email":"amosbrucker@usgs.gov","middleInitial":"R.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":627189,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Major, Jon J. 0000-0003-2449-4466 jjmajor@usgs.gov","orcid":"https://orcid.org/0000-0003-2449-4466","contributorId":439,"corporation":false,"usgs":true,"family":"Major","given":"Jon","email":"jjmajor@usgs.gov","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":627190,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spicer, Kurt R. 0000-0001-5030-3198 krspicer@usgs.gov","orcid":"https://orcid.org/0000-0001-5030-3198","contributorId":2684,"corporation":false,"usgs":true,"family":"Spicer","given":"Kurt","email":"krspicer@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":627191,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pitlick, John","contributorId":168765,"corporation":false,"usgs":false,"family":"Pitlick","given":"John","email":"","affiliations":[{"id":25358,"text":"University of Colorado, Geography Dept., Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":627192,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70177917,"text":"70177917 - 2017 - Mangrove expansion and contraction at a poleward range limit: Climate extremes and land-ocean temperature gradients","interactions":[],"lastModifiedDate":"2017-01-03T16:09:01","indexId":"70177917","displayToPublicDate":"2016-10-17T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Mangrove expansion and contraction at a poleward range limit: Climate extremes and land-ocean temperature gradients","docAbstract":"<p><span>Within the context of climate change, there is a pressing need to better understand the ecological implications of changes in the frequency and intensity of climate extremes. Along subtropical coasts, less frequent and warmer freeze events are expected to permit freeze-sensitive mangrove forests to expand poleward and displace freeze-tolerant salt marshes. Here, our aim was to better understand the drivers of poleward mangrove migration by quantifying spatiotemporal patterns in mangrove range expansion and contraction across land-ocean temperature gradients. Our work was conducted in a freeze-sensitive mangrove-marsh transition zone that spans a land-ocean temperature gradient in one of the world's most wetland-rich regions (Mississippi River Deltaic Plain; Louisiana, USA). We used historical air temperature data (1893-2014), alternative future climate scenarios, and coastal wetland coverage data (1978-2011) to investigate spatiotemporal fluctuations and climate-wetland linkages. Our analyses indicate that changes in mangrove coverage have been controlled primarily by extreme freeze events (i.e., air temperatures below a threshold zone of -6.3 to -7.6 °C). We expect that in the past 121 years, mangrove range expansion and contraction has occurred across land-ocean temperature gradients. Mangrove resistance, resilience, and dominance were all highest in areas closer to the ocean where temperature extremes were buffered by large expanses of water and saturated soil. Under climate change, these areas will likely serve as local hotspots for mangrove dispersal, growth, range expansion, and displacement of salt marsh. Collectively, our results show that the frequency and intensity of freeze events across land-ocean temperature gradients greatly influences spatiotemporal patterns of range expansion and contraction of freeze-sensitive mangroves. We expect that, along subtropical coasts, similar processes govern the distribution and abundance of other freeze-sensitive organisms. In broad terms, our findings can be used to better understand and anticipate the ecological effects of changing winter climate extremes, especially within the transition zone between tropical and temperate climates.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.1625","usgsCitation":"Osland, M.J., Day, R.H., Hall, C., Brumfield, M.D., Dugas, J., and Jones, W.R., 2017, Mangrove expansion and contraction at a poleward range limit: Climate extremes and land-ocean temperature gradients: Ecology, v. 98, no. 1, p. 125-137, https://doi.org/10.1002/ecy.1625.","productDescription":"13 p.","startPage":"125","endPage":"137","ipdsId":"IP-071497","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":330414,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -93,\n              29.1\n            ],\n            [\n              -93,\n              30.6\n            ],\n            [\n              -89.3,\n              30.6\n            ],\n            [\n              -89.3,\n              29.1\n            ],\n            [\n              -93,\n              29.1\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"98","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-09","publicationStatus":"PW","scienceBaseUri":"5811c0f1e4b0f497e79a5a69","chorus":{"doi":"10.1002/ecy.1625","url":"http://dx.doi.org/10.1002/ecy.1625","publisher":"Wiley-Blackwell","authors":"Osland Michael J., Day Richard H., Hall Courtney T., Brumfield Marisa D., Dugas Jason L., Jones William R.","journalName":"Ecology","publicationDate":"12/9/2016","auditedOn":"12/17/2016","publiclyAccessibleDate":"12/9/2016"},"contributors":{"authors":[{"text":"Osland, Michael J. 0000-0001-9902-8692 mosland@usgs.gov","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":3080,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","email":"mosland@usgs.gov","middleInitial":"J.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":652221,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day, Richard H. 0000-0002-5959-7054 dayr@usgs.gov","orcid":"https://orcid.org/0000-0002-5959-7054","contributorId":2427,"corporation":false,"usgs":true,"family":"Day","given":"Richard","email":"dayr@usgs.gov","middleInitial":"H.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":652222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hall, Courtney T. 0000-0003-0990-5212","orcid":"https://orcid.org/0000-0003-0990-5212","contributorId":176330,"corporation":false,"usgs":true,"family":"Hall","given":"Courtney T.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":652227,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brumfield, Marisa D","contributorId":176329,"corporation":false,"usgs":false,"family":"Brumfield","given":"Marisa","email":"","middleInitial":"D","affiliations":[],"preferred":false,"id":652224,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dugas, Jason 0000-0001-6094-7560 dugasj@usgs.gov","orcid":"https://orcid.org/0000-0001-6094-7560","contributorId":2996,"corporation":false,"usgs":true,"family":"Dugas","given":"Jason","email":"dugasj@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":652225,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jones, William R. 0000-0002-5493-4138 jonesb@usgs.gov","orcid":"https://orcid.org/0000-0002-5493-4138","contributorId":463,"corporation":false,"usgs":true,"family":"Jones","given":"William","email":"jonesb@usgs.gov","middleInitial":"R.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":652226,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70176698,"text":"70176698 - 2017 - Incorporating temporal heterogeneity in environmental conditions into a somatic growth model","interactions":[],"lastModifiedDate":"2017-02-24T11:02:04","indexId":"70176698","displayToPublicDate":"2016-10-04T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Incorporating temporal heterogeneity in environmental conditions into a somatic growth model","docAbstract":"<p><span>Evaluating environmental effects on fish growth can be challenging because environmental conditions may vary at relatively fine temporal scales compared to sampling occasions. Here we develop a Bayesian state-space growth model to evaluate effects of monthly environmental data on growth of fish that are observed less frequently (e.g., from mark-recapture data where time between captures can range from months to years). We assess effects of temperature, turbidity duration, food availability, flow variability, and trout abundance on subadult humpback chub (Gila cypha) growth in two rivers, the Colorado River (CR) and the Little Colorado River (LCR), and we use out-of-sample prediction to rank competing models. Environmental covariates explained a high proportion of the variation in growth in both rivers; however, the best growth models were river-specific and included either positive temperature and turbidity duration effects (CR) or positive temperature and food availability effects (LCR). Our approach to analyzing environmental controls on growth should be applicable in other systems where environmental data vary over relatively short time scales compared to animal observations.</span></p>","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2016-0056","usgsCitation":"Dzul, M.C., Yackulic, C.B., Korman, J., Yard, M., and Muehlbauer, J.D., 2017, Incorporating temporal heterogeneity in environmental conditions into a somatic growth model: Canadian Journal of Fisheries and Aquatic Sciences, v. 74, no. 3, p. 316-326, https://doi.org/10.1139/cjfas-2016-0056.","productDescription":"11 p.","startPage":"316","endPage":"326","ipdsId":"IP-070285","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":470220,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/73929","text":"External Repository"},{"id":329259,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7c63ae4b0bc0bec09c820","contributors":{"authors":[{"text":"Dzul, Maria C. 0000-0002-4798-5930 mdzul@usgs.gov","orcid":"https://orcid.org/0000-0002-4798-5930","contributorId":5469,"corporation":false,"usgs":true,"family":"Dzul","given":"Maria","email":"mdzul@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":649924,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724 cyackulic@usgs.gov","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":4662,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","email":"cyackulic@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":649925,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Korman, Josh","contributorId":139960,"corporation":false,"usgs":false,"family":"Korman","given":"Josh","email":"","affiliations":[{"id":13333,"text":"Ecometric Research Inc.","active":true,"usgs":false}],"preferred":false,"id":649926,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yard, Michael D. 0000-0002-6580-6027 myard@usgs.gov","orcid":"https://orcid.org/0000-0002-6580-6027","contributorId":2889,"corporation":false,"usgs":true,"family":"Yard","given":"Michael D.","email":"myard@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":649927,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Muehlbauer, Jeffrey D. 0000-0003-1808-580X jmuehlbauer@usgs.gov","orcid":"https://orcid.org/0000-0003-1808-580X","contributorId":5045,"corporation":false,"usgs":true,"family":"Muehlbauer","given":"Jeffrey","email":"jmuehlbauer@usgs.gov","middleInitial":"D.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":649928,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70178066,"text":"70178066 - 2017 - Selecting focal species as surrogates for imperiled species using relative sensitivities derived from occupancy analysis","interactions":[],"lastModifiedDate":"2016-11-10T09:07:31","indexId":"70178066","displayToPublicDate":"2016-10-04T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Selecting focal species as surrogates for imperiled species using relative sensitivities derived from occupancy analysis","docAbstract":"<p><span>Most imperiled species are rare or elusive and difficult to detect, which makes gathering data to estimate their response to habitat restoration a challenge. We used a repeatable, systematic method for selecting focal species using relative sensitivities derived from occupancy analysis. Our objective was to select suites of focal species that would be useful as surrogates when predicting effects of restoration of habitat characteristics preferred by imperiled species. We developed 27 habitat profiles that represent general habitat relationships for 118 imperiled species. We identified 23 regularly encountered species that were sensitive to important aspects of those profiles. We validated our approach by examining the correlation between estimated probabilities of occupancy for species of concern and focal species selected using our method. Occupancy rates of focal species were more related to occupancy rates of imperiled species when they were sensitive to more of the parameters appearing in profiles of imperiled species. We suggest that this approach can be an effective means of predicting responses by imperiled species to proposed management actions. 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