The U.S. Department of the Interior has proposed to withdraw approximately 10 million acres of Federal lands from mineral entry (subject to valid existing rights) from 12 million acres of lands defined as Sagebrush Focal Areas (SFAs) in Idaho, Montana, Nevada, Oregon, Utah, and Wyoming (for further discussion on the lands involved see Scientific Investigations Report 2016–5089–A). The purpose of the proposed action is to protect the greater sage-grouse (Centrocercus urophasianus) and its habitat from potential adverse effects of locatable mineral exploration and mining. The U.S. Geological Survey Sagebrush Mineral-Resource Assessment (SaMiRA) project was initiated in November 2015 and supported by the Bureau of Land Management to (1) assess locatable mineral-resource potential and (2) to describe leasable and salable mineral resources for the seven SFAs and Nevada additions.
This chapter summarizes the current status of locatable, leasable, and salable mineral commodities and assesses the potential of locatable minerals in the Southwestern and South-Central Wyoming and Bear River Watershed, Wyoming and Utah, SFAs.
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Studies have been conducted to refine US Environmental Protection Agency, ASTM International, and Environment Canada standard methods for conducting 42-d reproduction tests with Hyalella azteca in water or in sediment. Modifications to the H. azteca method include better-defined ionic composition requirements for exposure water (i.e., >15 mg/L of chloride and >0.02 mg/L of bromide) and improved survival, growth, and reproduction with alternate diets provided as increased rations over time in water-only or whole-sediment toxicity tests. A total of 24 laboratories volunteered to participate in the present interlaboratory study evaluating the performance of H. azteca in 42-d studies in control sand or control sediment using the refined methods. Improved growth and reproduction of H. azteca was observed with 2 alternate diets of 1) ramped diatoms (Thalassiosira weissflogii) + ramped Tetramin or 2) yeast–cerophyll–trout chow (YCT) + ramped Tetramin, especially when compared with results from the traditional diet of 1.8 mg YCT/d. Laboratories were able to meet proposed test acceptability criteria and in most cases had lower variation in growth or reproduction compared with previous interlaboratory studies using the traditional YCT diet. Laboratory success in conducting 42-d H. azteca exposures benefited from adherence to several key requirements of the detailed testing, culturing, and handling methods. Results from the present interlaboratory study are being used to help revise standard methods for conducting 10-d to 42-d water or sediment toxicity exposures with H. azteca.
","language":"English","publisher":"SETAC Press","doi":"10.1002/etc.3417","usgsCitation":"Ivey, C.D., Ingersoll, C.G., Brumbaugh, W.G., Hammer, E.J., Mount, D.R., Hockett, J.R., Norberg-King, T.J., Soucek, D., and Taylor, L., 2016, Using an interlaboratory study to revise methods for conducting 10-d to 42-d water or sediment toxicity tests with Hyalella azteca: Environmental Toxicology and Chemistry, v. 35, no. 10, p. 2439-2447, https://doi.org/10.1002/etc.3417.","productDescription":"9 p.","startPage":"2439","endPage":"2447","ipdsId":"IP-071150","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":329256,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"10","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-02","publicationStatus":"PW","scienceBaseUri":"57f7c639e4b0bc0bec09c816","contributors":{"authors":[{"text":"Ivey, Chris D. 0000-0002-0485-7242 civey@usgs.gov","orcid":"https://orcid.org/0000-0002-0485-7242","contributorId":3308,"corporation":false,"usgs":true,"family":"Ivey","given":"Chris","email":"civey@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":649937,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":649938,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brumbaugh, William G. 0000-0003-0081-375X bbrumbaugh@usgs.gov","orcid":"https://orcid.org/0000-0003-0081-375X","contributorId":493,"corporation":false,"usgs":true,"family":"Brumbaugh","given":"William","email":"bbrumbaugh@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":649939,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hammer, Edward J.","contributorId":150723,"corporation":false,"usgs":false,"family":"Hammer","given":"Edward","email":"","middleInitial":"J.","affiliations":[{"id":18077,"text":"U. 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As part of this investigation, geophysical logs were collected from six water-supply wells and were analyzed to (1) identify well construction, (2) determine the rock type and orientation of the foliation and layering of the rock, (3) characterize the depth and orientation of fractures, (4) evaluate fluid properties of the water in the well, and (5) determine the relative transmissivity and head of discrete fractures or fracture zones. The logs included the following: caliper, electromagnetic induction, gamma, acoustic and (or) optical televiewer, heat-pulse flowmeter under ambient and pumped conditions, hydraulic head data, fluid electrical conductivity and temperature under postpumping conditions, and borehole-radar reflection collected in single-hole mode. In a seventh borehole, a former water-supply well, only caliper, fluid electrical conductivty, and temperature logs were collected, because of a constriction in the borehole.
This report includes a description of the methods used to collect and process the borehole geophysical data, the description of the data collected in each of the wells, and a comparison of the results collected in all of the wells. The data are presented in plots of the borehole geophysical logs, tables, and figures. Collectively these data provide valuable characterizations that can be used to improve or inform site conceptual models of groundwater flow in the study area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1020","collaboration":"Prepared in cooperation with the Connecticut Department of Energy and Environmental Protection","usgsCitation":"Johnson, C.D., Kiel, K.F., Joesten, P.K., and Pappas, K.L., 2016, Characterization of fractures and flow zones in a contaminated crystalline-rock aquifer in the Tylerville section of Haddam, Connecticut: U.S. Geological Survey Data Series 1020, 40 p., https://dx.doi.org/10.3133/ds1020.","productDescription":"Report: viii, 40 p.; Appendixes: 1-7","numberOfPages":"52","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-067211","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"links":[{"id":329127,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/1020/appendix/ds1020_appendix2.zip","text":"Appendix 2","size":"7.27 MB","linkFileType":{"id":6,"text":"zip"},"description":"DS 1020","linkHelpText":"- Borehole-Geophysical Logs From Borehole 76–BR in the Tylerville Study Area, Haddam, Connecticut, 2014"},{"id":329131,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/1020/appendix/ds1020_appendix6.zip","text":"Appendix 6","size":"19.9 MB","linkFileType":{"id":6,"text":"zip"},"description":"DS 1020","linkHelpText":"- Borehole-Geophysical Logs From Borehole 130–LMR in the Tylerville Study Area, Haddam, Connecticut, 2014"},{"id":329132,"rank":9,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/1020/appendix/ds1020_appendix7.zip","text":"Appendix 7","size":"658 KB","linkFileType":{"id":6,"text":"zip"},"description":"DS 1020","linkHelpText":"- Borehole-Geophysical Logs From Borehole 95–BR in the Tylerville Study Area, Haddam, Connecticut, 2014"},{"id":329133,"rank":10,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/1020/appendix/ds1020_appendixes_1-7.zip","text":"Appendixes 1–7","size":"76.9 MB","linkFileType":{"id":6,"text":"zip"},"description":"DS 1020","linkHelpText":"- Borehole-Geophysical Logs From Seven Boreholes in the Tylerville Study Area, Haddam, Connecticut, 2014"},{"id":329128,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/1020/appendix/ds1020_appendix3.zip","text":"Appendix 3","size":"5.84 MB","linkFileType":{"id":6,"text":"zip"},"description":"DS 1020","linkHelpText":"- Borehole-Geophysical Logs From Borehole 85–BR in the Tylerville Study Area, Haddam, Connecticut, 2014"},{"id":329130,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/1020/appendix/ds1020_appendix5.zip","text":"Appendix 5","size":"18 MB","linkFileType":{"id":6,"text":"zip"},"description":"DS 1020","linkHelpText":"- Borehole-Geophysical Logs From Borehole 77–LMR in the Tylerville Study Area, Haddam, Connecticut, 2014"},{"id":329129,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/1020/appendix/ds1020_appendix4.zip","text":"Appendix 4","size":"10.7 MB","linkFileType":{"id":6,"text":"zip"},"description":"DS 1020","linkHelpText":"- Borehole-Geophysical Logs From Borehole 79/81–BR in the Tylerville Study Area, Haddam, Connecticut, 2014"},{"id":329124,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1020/coverthb.jpg"},{"id":329125,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1020/ds1020.pdf","text":"Report","size":"8.19 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1020"},{"id":329126,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/1020/appendix/ds1020_appendix1.zip","text":"Appendix 1","size":"14.4 MB","linkFileType":{"id":6,"text":"zip"},"description":"DS 1020","linkHelpText":"- Borehole-Geophysical Logs From Borehole 1640–SR in the Tylerville Study Area, Haddam, Connecticut, 2014"}],"country":"United States","state":"Connecticut","county":"Middlesex County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -72.48126983642578,\n 41.43944494429659\n ],\n [\n -72.48126983642578,\n 41.45745861169602\n ],\n [\n -72.46135711669922,\n 41.45745861169602\n ],\n [\n -72.46135711669922,\n 41.43944494429659\n ],\n [\n -72.48126983642578,\n 41.43944494429659\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Chief, Branch of Geophysics
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Storrs, CT 06269
http://water.usgs.gov/ogw/bgas
Glen Canyon Dam (GCD) on the Colorado River in northern Arizona provides water storage, flood control, and power system benefits to approximately 40 million people who rely on water and energy resources in the Colorado River basin. Downstream resources (e.g., angling, whitewater floating) in Glen Canyon National Recreation Area (GCNRA) and Grand Canyon National Park are impacted by the operation of GCD. The GCD Adaptive Management Program was established in 1997 to monitor and research the effects of dam operations on the downstream environment. We utilized secondary survey data and an individual observation travel cost model to estimate the net economic benefit of angling in GCNRA for each season and each type of angler. As expected, the demand for angling decreased with increasing travel cost; the annual value of angling at Lees Ferry totaled US$2.7 million at 2014 visitation levels. Demand for angling was also affected by season, with per-trip values of $210 in the summer, $237 in the spring, $261 in the fall, and $399 in the winter. This information provides insight into the ways in which anglers are potentially impacted by seasonal GCD operations and adaptive management experiments aimed at improving downstream resource conditions.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2016.1204388","usgsCitation":"Bair, L.S., Rogowski, D.L., and Neher, C., 2016, Economic value of angling on the Colorado River at Lees Ferry: Using secondary data to estimate the influence of seasonality: North American Journal of Fisheries Management, v. 36, no. 6, p. 1229-1239, https://doi.org/10.1080/02755947.2016.1204388.","productDescription":"11 p.","startPage":"1229","endPage":"1239","ipdsId":"IP-066706","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":329258,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River, Lees Ferry","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.63894653320311,\n 36.824676208856175\n ],\n [\n -111.63894653320311,\n 36.943855400282494\n ],\n [\n -111.47758483886719,\n 36.943855400282494\n ],\n [\n -111.47758483886719,\n 36.824676208856175\n ],\n [\n -111.63894653320311,\n 36.824676208856175\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-30","publicationStatus":"PW","scienceBaseUri":"57f7c63ae4b0bc0bec09c81c","contributors":{"authors":[{"text":"Bair, Lucas S. 0000-0002-9911-3624 lbair@usgs.gov","orcid":"https://orcid.org/0000-0002-9911-3624","contributorId":5270,"corporation":false,"usgs":true,"family":"Bair","given":"Lucas","email":"lbair@usgs.gov","middleInitial":"S.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":649934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogowski, David L.","contributorId":175084,"corporation":false,"usgs":false,"family":"Rogowski","given":"David","email":"","middleInitial":"L.","affiliations":[{"id":27527,"text":"AZ Game and FIsh Department","active":true,"usgs":false}],"preferred":false,"id":649935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Neher, Christopher","contributorId":175085,"corporation":false,"usgs":false,"family":"Neher","given":"Christopher","email":"","affiliations":[{"id":27528,"text":"Uni. of Montana, Dept. of Mathematical Sciences","active":true,"usgs":false}],"preferred":false,"id":649936,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70176700,"text":"70176700 - 2016 - On the importance of stratigraphic control for vertebrate fossil sites in Channel Islands National Park, California, USA: Examples from new Mammuthus finds on San Miguel Island","interactions":[],"lastModifiedDate":"2017-08-03T08:14:06","indexId":"70176700","displayToPublicDate":"2016-10-04T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3217,"text":"Quaternary International","active":true,"publicationSubtype":{"id":10}},"title":"On the importance of stratigraphic control for vertebrate fossil sites in Channel Islands National Park, California, USA: Examples from new Mammuthus finds on San Miguel Island","docAbstract":"Quaternary vertebrate fossils, most notably mammoth remains, are relatively common on the northern Channel Islands of California. Well-preserved cranial, dental, and appendicular elements of Mammuthus exilis (pygmy mammoth) and Mammuthus columbi (Columbian mammoth) have been recovered from hundreds of localities on the islands during the past half-century or more. Despite this paleontological wealth, the geologic context of the fossils is described in the published literature only briefly or not at all, which has hampered the interpretation of associated 14C ages and reconstruction of past environmental conditions. We recently discovered a partial tusk, several large bones, and a tooth enamel plate (all likely mammoth) at two sites on the northwest flank of San Miguel Island, California. At both localities, we documented the stratigraphic context of the fossils, described the host sediments in detail, and collected charcoal and terrestrial gastropod shells for radiocarbon dating. The resulting 14C ages indicate that the mammoths were present on San Miguel Island between ∼20 and 17 ka as well as between ∼14 and 13 ka (thousands of calibrated 14C years before present), similar to other mammoth sites on San Miguel, Santa Cruz, and Santa Rosa Islands. In addition to documenting the geologic context and ages of the fossils, we present a series of protocols for documenting and reporting geologic and stratigraphic information at fossil sites on the California Channel Islands in general, and in Channel Islands National Park in particular, so that pertinent information is collected prior to excavation of vertebrate materials, thus maximizing their scientific value.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quaint.2016.07.015","usgsCitation":"Pigati, J., Muhs, D., and McGeehin, J.P., 2016, On the importance of stratigraphic control for vertebrate fossil sites in Channel Islands National Park, California, USA: Examples from new Mammuthus finds on San Miguel Island: Quaternary International, v. 443, no. A, p. 129-139, https://doi.org/10.1016/j.quaint.2016.07.015.","productDescription":"11 p.","startPage":"129","endPage":"139","ipdsId":"IP-069578","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":329260,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Miguel Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.4695510864258,\n 34.011119420618684\n ],\n [\n -120.4695510864258,\n 34.08024666743329\n ],\n [\n -120.29136657714845,\n 34.08024666743329\n ],\n [\n -120.29136657714845,\n 34.011119420618684\n ],\n [\n -120.4695510864258,\n 34.011119420618684\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"443","issue":"A","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7c63ae4b0bc0bec09c81e","contributors":{"authors":[{"text":"Pigati, Jeffery S. jpigati@usgs.gov","contributorId":140289,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffery S.","email":"jpigati@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":649931,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muhs, Daniel R. dmuhs@usgs.gov","contributorId":140959,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel R.","email":"dmuhs@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":649933,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McGeehin, John P. mcgeehin@usgs.gov","contributorId":140956,"corporation":false,"usgs":true,"family":"McGeehin","given":"John","email":"mcgeehin@usgs.gov","middleInitial":"P.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":649932,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70176714,"text":"70176714 - 2016 - Multi-index time series monitoring of drought and fire effects on desert grasslands","interactions":[],"lastModifiedDate":"2017-04-27T10:48:56","indexId":"70176714","displayToPublicDate":"2016-10-04T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Multi-index time series monitoring of drought and fire effects on desert grasslands","docAbstract":"The Western United States is expected to undergo both extended periods of drought and longer wildfire seasons under forecasted global climate change and it is important to understand how these disturbances will interact and affect recovery and composition of plant communities in the future. In this research paper we describe the temporal response of grassland communities to drought and fire in southern Arizona, where land managers are using repeated, prescribed fire as a habitat restoration tool. Using a 25-year atlas of fire locations, we paired sites with multiple fires to unburned control areas and compare satellite and field-based estimates of vegetation cover over time. Two hundred and fifty Landsat TM images, dating from 1985–2011, were used to derive estimates of Total Vegetation Fractional Cover (TVFC) of live and senescent grass using the Soil-Adjusted Total Vegetation Index (SATVI) and post-fire vegetation greenness using the Normalized Difference Vegetation Index (NDVI). We also implemented a Greenness to Cover Index that is the difference of time-standardized SATVI-TVFC and NDVI values at a given time and location to identify post-fire shifts in native, non-native, and annual plant cover. The results highlight anomalous greening and browning during drought periods related to amounts of annual and non-native plant cover present. Results suggest that aggressive application of prescribed fire may encourage spread of non-native perennial grasses and annual plants, particularly during droughts.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2016.05.026","usgsCitation":"Villarreal, M.L., Norman, L.M., Buckley, S., Wallace, C., and Coe, M.A., 2016, Multi-index time series monitoring of drought and fire effects on desert grasslands: Remote Sensing of Environment, v. 183, p. 186-197, https://doi.org/10.1016/j.rse.2016.05.026.","productDescription":"12 p.","startPage":"186","endPage":"197","ipdsId":"IP-067559","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":470517,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2016.05.026","text":"Publisher Index Page"},{"id":329262,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"183","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57f7c639e4b0bc0bec09c81a","contributors":{"authors":[{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":650109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Norman, Laura M. 0000-0002-3696-8406 lnorman@usgs.gov","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":967,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","email":"lnorman@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":650110,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buckley, Steven","contributorId":175122,"corporation":false,"usgs":false,"family":"Buckley","given":"Steven","affiliations":[],"preferred":false,"id":650111,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wallace, Cynthia S.A. cwallace@usgs.gov","contributorId":139089,"corporation":false,"usgs":true,"family":"Wallace","given":"Cynthia S.A.","email":"cwallace@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":650112,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coe, Michelle A.","contributorId":175123,"corporation":false,"usgs":false,"family":"Coe","given":"Michelle","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":650113,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70176705,"text":"70176705 - 2016 - Influence of bromide on the performance of the amphipod Hyalella azteca in reconstituted waters","interactions":[],"lastModifiedDate":"2018-08-07T11:54:52","indexId":"70176705","displayToPublicDate":"2016-10-03T17:15:00","publicationYear":"2016","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":"Influence of bromide on the performance of the amphipod Hyalella azteca in reconstituted waters","docAbstract":"Poor performance of the amphipod Hyalella azteca has been observed in exposures using reconstituted waters. Previous studies have reported success in H. azteca water-only exposures with the addition of relatively high concentrations of bromide. The present study evaluated the influence of lower environmentally representative concentrations of bromide on the response ofH. azteca in 42-d water-only exposures. Improved performance of H. azteca was observed in reconstituted waters with >0.02 mg Br/L.
","language":"English","publisher":"SETAC Press","doi":"10.1002/etc.3421","usgsCitation":"Ivey, C.D., and Ingersoll, C.G., 2016, Influence of bromide on the performance of the amphipod Hyalella azteca in reconstituted waters: Environmental Toxicology and Chemistry, v. 35, no. 10, p. 2425-2429, https://doi.org/10.1002/etc.3421.","productDescription":"5 p.","startPage":"2425","endPage":"2429","ipdsId":"IP-071175","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":329244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"10","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-03-07","publicationStatus":"PW","scienceBaseUri":"57f7c63ae4b0bc0bec09c822","contributors":{"authors":[{"text":"Ivey, Chris D. 0000-0002-0485-7242 civey@usgs.gov","orcid":"https://orcid.org/0000-0002-0485-7242","contributorId":3308,"corporation":false,"usgs":true,"family":"Ivey","given":"Chris","email":"civey@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":649952,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ingersoll, Christopher G. 0000-0003-4531-5949 cingersoll@usgs.gov","orcid":"https://orcid.org/0000-0003-4531-5949","contributorId":2071,"corporation":false,"usgs":true,"family":"Ingersoll","given":"Christopher","email":"cingersoll@usgs.gov","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":649953,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70192442,"text":"70192442 - 2016 - Groundwater level trends and drivers in two northern New England glacial aquifers","interactions":[],"lastModifiedDate":"2022-11-02T13:44:49.776225","indexId":"70192442","displayToPublicDate":"2016-10-03T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater level trends and drivers in two northern New England glacial aquifers","docAbstract":"We evaluated long-term trends and predictors of groundwater levels by month from two well-studied northern New England forested headwater glacial aquifers: Sleepers River, Vermont, 44 wells, 1992-2013; and Hubbard Brook, New Hampshire, 15 wells, 1979-2004. Based on Kendall Tau tests with Sen slope determination, a surprising number of well-month combinations had negative trends (decreasing water levels) over the respective periods. Sleepers River had slightly more positive than negative trends overall, but among the significant trends (p < 0.1), negative trends dominated 67 to 40. At Hubbard Brook, negative trends outnumbered positive trends by a nearly 2:1 margin and all seven of the significant trends were negative. The negative trends occurred despite generally increasing trends in monthly and annual precipitation. This counterintuitive pattern may be a result of increased precipitation intensity causing higher runoff at the expense of recharge, such that evapotranspiration demand draws down groundwater storage. We evaluated predictors of month-end water levels by multiple regression of 18 variables related to climate, streamflow, snowpack, and prior month water level. Monthly flow and prior month water level were the two strongest predictors for most months at both sites. The predictive power and ready availability of streamflow data can be exploited as a proxy to extend limited groundwater level records over longer time periods.
","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12432","usgsCitation":"Shanley, J.B., Chalmers, A.T., Mack, T.J., Smith, T.E., and Harte, P.T., 2016, Groundwater level trends and drivers in two northern New England glacial aquifers: Journal of the American Water Resources Association, v. 52, no. 5, p. 1012-1030, https://doi.org/10.1111/1752-1688.12432.","productDescription":"19 p.","startPage":"1012","endPage":"1030","ipdsId":"IP-073002","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":347494,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Hampshire, Vermont","otherGeospatial":"Mirror Lake basin, Sleepers River Research Watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -72.26060821324687,\n 44.57330638859074\n ],\n [\n -72.26060821324687,\n 44.43408825538009\n ],\n [\n -72.06845741944598,\n 44.43408825538009\n ],\n [\n -72.06845741944598,\n 44.57330638859074\n ],\n [\n -72.26060821324687,\n 44.57330638859074\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -71.76650617204419,\n 44.1\n ],\n [\n -71.76650617204419,\n 43.9\n ],\n [\n -71.5316552018435,\n 43.9\n ],\n [\n -71.5316552018435,\n 44.1\n ],\n [\n -71.76650617204419,\n 44.1\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"52","issue":"5","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-19","publicationStatus":"PW","scienceBaseUri":"59f83a3be4b063d5d3098106","contributors":{"authors":[{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715847,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chalmers, Ann T. 0000-0002-5199-8080 chalmers@usgs.gov","orcid":"https://orcid.org/0000-0002-5199-8080","contributorId":1443,"corporation":false,"usgs":true,"family":"Chalmers","given":"Ann","email":"chalmers@usgs.gov","middleInitial":"T.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715848,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mack, Thomas J. 0000-0002-0496-3918 tjmack@usgs.gov","orcid":"https://orcid.org/0000-0002-0496-3918","contributorId":1677,"corporation":false,"usgs":true,"family":"Mack","given":"Thomas","email":"tjmack@usgs.gov","middleInitial":"J.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715849,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Thor E. tesmith@usgs.gov","contributorId":3925,"corporation":false,"usgs":true,"family":"Smith","given":"Thor","email":"tesmith@usgs.gov","middleInitial":"E.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715850,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harte, Philip T. 0000-0002-7718-1204 ptharte@usgs.gov","orcid":"https://orcid.org/0000-0002-7718-1204","contributorId":1008,"corporation":false,"usgs":true,"family":"Harte","given":"Philip","email":"ptharte@usgs.gov","middleInitial":"T.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715851,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70176468,"text":"sir20165131 - 2016 - Paleomagnetic correlation of basalt flows in selected coreholes near the Advanced Test Reactor Complex, the Idaho Nuclear Technology and Engineering Center, and along the southern boundary, Idaho National Laboratory, Idaho","interactions":[],"lastModifiedDate":"2016-10-04T10:41:58","indexId":"sir20165131","displayToPublicDate":"2016-10-03T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5131","title":"Paleomagnetic correlation of basalt flows in selected coreholes near the Advanced Test Reactor Complex, the Idaho Nuclear Technology and Engineering Center, and along the southern boundary, Idaho National Laboratory, Idaho","docAbstract":"The U.S. Geological Survey, in cooperation with the U.S. Department of Energy, used paleomagnetic data from 18 coreholes to construct three cross sections of subsurface basalt flows in the southern part of the Idaho National Laboratory (INL). These cross sections, containing descriptions of the subsurface horizontal and vertical distribution of basalt flows and sediment layers, will be used in geological studies, and to construct numerical models of groundwater flow and contaminant transport.
Subsurface cross sections were used to correlate surface vents to their subsurface flows intersected by coreholes, to correlate subsurface flows between coreholes, and to identify possible subsurface vent locations of subsurface flows. Correlations were identified by average paleomagnetic inclinations of flows, and depth from land surface in coreholes, normalized to the North American Datum of 1927. Paleomagnetic data were combined, in some cases, with other data, such as radiometric ages of flows. Possible vent locations of buried basalt flows were identified by determining the location of the maximum thickness of flows penetrated by more than one corehole.
Flows from the surface volcanic vents Quaking Aspen Butte, Vent 5206, Mid Butte, Lavatoo Butte, Crater Butte, Pond Butte, Vent 5350, Vent 5252, Tin Cup Butte, Vent 4959, Vent 5119, and AEC Butte are found in coreholes, and were correlated to the surface vents by matching their paleomagnetic inclinations, and in some cases, their stratigraphic positions.
Some subsurface basalt flows that do not correlate to surface vents, do correlate over several coreholes, and may correlate to buried vents. Subsurface flows which correlate across several coreholes, but not to a surface vent include the D3 flow, the Big Lost flow, the CFA buried vent flow, the Early, Middle, and Late Basal Brunhes flows, the South Late Matuyama flow, the Matuyama flow, and the Jaramillo flow. The location of vents buried in the subsurface by younger basalt flows can be inferred if their flows are penetrated by several coreholes, by tracing the flows in the subsurface, and determining where the greatest thickness occurs.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165131","collaboration":"DOE/ID-22240Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Road
Boise, Idaho 83702
http://id.water.usgs.gov
The Land Processes Distributed Active Archive Center (LP DAAC) operates as a partnership with the U.S. Geological Survey and is 1 of 12 DAACs within the National Aeronautics and Space Administration (NASA) Earth Observing System Data and Information System (EOSDIS). The LP DAAC ingests, archives, processes, and distributes NASA Earth science remote sensing data. These data are provided to the public at no charge. Data distributed by the LP DAAC provide information about Earth’s surface from daily to yearly intervals and at 15 to 5,600 meter spatial resolution. Data provided by the LP DAAC can be used to study changes in agriculture, vegetation, ecosystems, elevation, and much more. The LP DAAC provides several ways to access, process, and interact with these data. In addition, the LP DAAC is actively archiving new datasets to provide users with a variety of data to study the Earth.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163070","collaboration":"Prepared in cooperation with the National Aeronautics and Space Administration","usgsCitation":"Golon, D.K., 2016, The Land Processes Distributed Active Archive Center (LP DAAC): U.S. Geological Survey Fact Sheet 2016–3070, 2 p., https://dx.doi.org/10.3133/fs20163070.","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":329073,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3070/fs20163070.pdf","text":"Fact Sheet","size":"11.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016–3070"},{"id":329072,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3070/coverthb.jpg"}],"contact":"Director, Earth Resources Observation and Science (EROS) Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198
Groundwater quality in the 48-square-mile Santa Barbara study unit was investigated in 2011 as part of the California State Water Resources Control Board’s Groundwater Ambient Monitoring and Assessment (GAMA) Program Priority Basin Project. The study unit is mostly in Santa Barbara County and is in the Transverse and Selected Peninsular Ranges hydrogeologic province. The GAMA Priority Basin Project is carried out by the U.S. Geological Survey in collaboration with the California State Water Resources Control Board and Lawrence Livermore National Laboratory.
The GAMA Priority Basin Project was designed to provide a statistically unbiased, spatially distributed assessment of the quality of untreated groundwater in the primary aquifer system of California. The primary aquifer system is defined as that part of the aquifer corresponding to the perforation interval of wells listed in the California Department of Public Health database for the Santa Barbara study unit. This status assessment is intended to characterize the quality of groundwater resources in the primary aquifer system of the Santa Barbara study unit, not the treated drinking water delivered to consumers by water purveyors.
The status assessment for the Santa Barbara study unit was based on water-quality and ancillary data collected in 2011 by the U.S. Geological Survey from 23 sites and on water-quality data from the California Department of Public Health database for January 24, 2008–January 23, 2011. The data used for the assessment included volatile organic compounds; pesticides; pharmaceutical compounds; two constituents of special interest, perchlorate and N-nitrosodimethylamine (NDMA); and naturally present inorganic constituents, such as major ions and trace elements. Relative-concentrations (sample concentration divided by the health- or aesthetic-based benchmark concentration) were used to evaluate groundwater quality for those constituents that have federal or California regulatory and non-regulatory benchmarks for drinking-water quality. For inorganic, organic, and special-interest constituents, a relative-concentration greater than 1.0 indicates a concentration greater than the benchmark and is classified as high. Inorganic constituents are classified as moderate if relative-concentrations are greater than 0.5 and less than or equal to 1.0 and are classified as low if relative-concentrations are less than or equal to 0.5. For organic and special-interest constituents, the boundary between moderate and low relative-concentrations was set at 0.1.
Aquifer-scale proportion was used as the primary metric for evaluating regional-scale groundwater quality. High aquifer-scale proportion is defined as the areal percentage of the primary aquifer system with a relative-concentration greater than 1.0 for a particular constituent or class of constituents. Moderate and low aquifer-scale proportions were defined as the areal percentage of the primary aquifer system that had moderate and low relative-concentrations, respectively. Two statistical approaches—grid based and spatially weighted—were used to calculate aquifer-scale proportions for individual constituents and constituent classes. Grid-based and spatially weighted estimates were comparable in this the study (within 90-percent confidence intervals). Grid-based results were selected for use in the status assessment unless, as was observed in a few cases, a grid-based result was zero and the spatially weighted result was not zero, in which case, the spatially weighted result was used.
Inorganic constituents that have human-health benchmarks were present at high relative-concentrations in 5.3 percent of the primary aquifer system and at moderate concentrations in 32 percent. High aquifer-scale proportions of inorganic constituents primarily were a result of high aquifer-scale proportions of boron (5.3 percent) and fluoride (5.3 percent). Inorganic constituents that have aesthetic-based benchmarks, referred to as secondary maximum contaminant levels, were present at high relative-concentrations in 58 percent of the primary aquifer system and at moderate concentrations in 37 percent. Iron, manganese, sulfate, and total dissolved solids were the inorganic constituents with secondary maximum contaminant levels present at high relative-concentrations.
In contrast, organic and special-interest constituents that have health-based benchmarks were not detected at high relative-concentrations in the primary aquifer system. Of the 218 organic constituents analyzed, 10 were detected—9 that had human-health benchmarks. Organic constituents were present at moderate relative-concentrations in 11 percent of the primary aquifer system. The moderate aquifer-scale proportions were a result of moderate relative-concentrations of the volatile organic compounds methyl tert-butyl ether (MTBE, 11 percent) and 1,2-dichloroethane (5.6 percent). The volatile organic compounds 1,1,1-trichloroethane, 1,1-dichloroethane, bromodichloromethane, chloroform, MTBE, and perchloroethene (PCE); the pesticide simazine; and the special-interest constituent perchlorate were detected at more than 10 percent of the sites in the Santa Barbara study unit. Perchlorate was present at moderate relative-concentrations in 50 percent of the primary aquifer system. Pharmaceutical compounds and NDMA were not detected in the Santa Barbara study unit.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165112","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Davis, T.A., and Kulongoski, J.T., 2016, Status of groundwater quality in the Santa Barbara Study Unit, 2011: California GAMA Priority Basin Project: U.S. Geological Survey Scientific Investigations Report 2016–5112, 70 p., https://dx.doi.org/10.3133/sir20165112.","productDescription":"viii, 70 p.","numberOfPages":"82","ipdsId":"IP-077335","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":329221,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5112/sir20165112.pdf","text":"Report","size":"14.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5112"},{"id":329220,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5112/coverthb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Barbara Study Unit","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.92813110351561,\n 34.37461214493789\n ],\n [\n -119.92813110351561,\n 34.47203335543746\n ],\n [\n -119.43237304687499,\n 34.47203335543746\n ],\n [\n -119.43237304687499,\n 34.37461214493789\n ],\n [\n -119.92813110351561,\n 34.37461214493789\n ]\n ]\n ]\n }\n }\n ]\n}","publicComments":"A product of the California Groundwater Ambient Monitoring and Assessment (GAMA) Program","contact":"Director, California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819
http://ca.water.usgs.gov
Groundwater provides more than 40 percent of California’s drinking water. To protect this vital resource, the State of California established the Groundwater Ambient Monitoring and Assessment (GAMA) Program. The Priority Basin Project of the GAMA Program provides a comprehensive assessment of the State’s groundwater quality and increases public access to groundwater-quality information. The Santa Barbara Coastal Plain is one of the study units.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20163058","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Davis, T.A., and Belitz, Kenneth, 2016, Groundwater Quality in the Santa Barbara Coastal Plain, California: U.S. Geological Survey Fact Sheet 2016-3058, 4 p., https://dx.doi.org/10.3133/fs20163058.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","ipdsId":"IP-057260","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":329225,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2016/3058/coverthb.jpg"},{"id":329226,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2016/3058/fs20163058.pdf","text":"Report","size":"2.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2016-3058"}],"country":"United States","state":"California","otherGeospatial":"Santa Barbara Study Unit","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.91645812988283,\n 34.35137289731883\n ],\n [\n -119.91645812988283,\n 34.51560953848204\n ],\n [\n -119.42481994628906,\n 34.51560953848204\n ],\n [\n -119.42481994628906,\n 34.35137289731883\n ],\n [\n -119.91645812988283,\n 34.35137289731883\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Technical reports and hydrologic data collected for the GAMA Program may be obtained from
GAMA Project Chief
U.S. Geological Survey
California Water Science Center
6000 J Street, Placer Hall
Sacramento, CA 95819
Telephone number: (916) 278-3100
WEB: http://ca.water.usgs.gov/gama
GAMA Program Unit Chief
State Water Resources Control Board
Division of Water Quality
PO Box 2231, Sacramento, CA 95812
Telephone number: (916) 341-5779
WEB:http://www.waterboards.ca.gov/gama
Restoration of tidal flows to formerly diked marshland can alter land-to-sea fluxes and patterns of accumulation of terrestrial sediment and organic matter, and these tidal flows can also affect existing nearshore habitats. Dikes were removed from 308 hectares (ha) of the Nisqually National Wildlife Refuge on the Nisqually River Delta in south Puget Sound, Washington, in fall 2009 to improve habitat for wildlife, such as juvenile salmon. Ecologically important intertidal and subtidal eelgrass (Zostera marina) beds grow on the north and west margins of the delta. The goal of this study was to understand long-term changes in eelgrass habitat and their relation to dike removal. Sediment and eelgrass properties were monitored annually in May from 2010 to 2014 at two sites on the west side of the Nisqually River Delta along McAllister Creek, a spring-fed creek near two restored tidal channels. In May 2014, the mean canopy height of eelgrass was the same as in previous years in an 8-ha bed extending to the Nisqually River Delta front, but mean canopy height was 20 percent lower in a 0.3-ha eelgrass bed closer to the restored marsh when compared to mean canopy height of eelgrass in May 2010, 6 months after dike removal was completed. Over 5 years, the amount of eelgrass leaf area per square meter (m2) in the 8-ha bed increased slightly, and surface-sediment grain size became finer. In contrast, in the 0.3-ha bed, eelgrass leaf area per m2 decreased by 45 percent, and surface sediment coarsened. Other potential stressors, including sediment pore water reduction-oxidation potential (redox) and hydrogen sulfide (H2S) concentration in the eelgrass rhizosphere, or root zone, were below levels that negatively affect eelgrass growth and therefore did not appear to be environmental stressors on plants. Eelgrass biomass partitioning, though less favorable in the 8-ha eelgrass bed compared to the 0.3-ha one, was well above the critical above-ground to below-ground biomass ratio of 2:1 for Z. marina, an indication that these plants were not at risk of a carbon deficit during low-light conditions. After 5 years, nearshore changes associated with the restoration of tidal flows to formerly diked marshes of the Nisqually River Delta appeared to have little impact on the large eelgrass bed extending from Luhr Beach to the Nisqually River Delta front; however, restoration appears to be contributing to the decline of a small eelgrass bed closer to the restoration area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161169","usgsCitation":"Takesue, R.K., 2016, Environmental and eelgrass response to dike removal: Nisqually River Delta (2010–14): U.S. Geological Survey Open-File Report 2016–1169, 17 p., https://dx.doi.org/10.3133/ofr20161169.","productDescription":"vi, 17 p.","numberOfPages":"25","onlineOnly":"Y","ipdsId":"IP-064121","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":329008,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2016/1169/ofr20161169.pdf","text":"Report","size":"3.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2016-1169"},{"id":329007,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2016/1169/coverthb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":" Nisqually River Delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.73556709289551,\n 47.06760800518024\n ],\n [\n -122.73556709289551,\n 47.10997630516621\n ],\n [\n -122.68183708190917,\n 47.10997630516621\n ],\n [\n -122.68183708190917,\n 47.06760800518024\n ],\n [\n -122.73556709289551,\n 47.06760800518024\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Washington Water Science Center
U.S. Geological Survey
934 Broadway, Suite 300
Tacoma, Washington 98402
http://wa.water.usgs.gov
The Wildfire Sciences Team at the U.S. Geological Survey’s Earth Resources Observation and Science Center produces vegetation type, vegetation structure, and fuel products for the United States, primarily through the Landscape Fire and Resource Management Planning Tools (LANDFIRE) program. LANDFIRE products are used across disciplines for a variety of applications. The LANDFIRE data retain their currency and relevancy through periodic updating or remapping. These updating and remapping efforts provide opportunities to improve the LANDFIRE product suite by incorporating data from other sources. Light detection and ranging (lidar) is uniquely suitable for gathering information on vegetation structure and spatial arrangement because it can collect data in three dimensions. The Wildfire Sciences Team has several completed and ongoing studies focused on integrating lidar into vegetation and fuels mapping.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153086","usgsCitation":"Peterson, B.E., and Nelson, K.J., 2016, Enhanced canopy fuel mapping by integrating lidar data: U.S. Geological Survey Fact Sheet 2015–3086, 2 p., https://dx.doi.org/10.3133/fs20153086.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-057944","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":328868,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2015/3086/coverthb.jpg"},{"id":328869,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3086/fs20153086.pdf","text":"Fact Sheet","size":"1.05 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Fact Sheet 2015–3086"}],"contact":"Fire Science Team Lead
Earth Resources Observation and Science (EROS) Center
U.S. Geological Survey
47194 252nd Street
Sioux Falls, SD 57198
Surface pCO2 data from the West Florida Shelf (WFS) have been collected during 25 cruise surveys between 2003 and 2012. The data were scaled up using remote sensing measurements of surface water properties in order to provide a more nearly synoptic map of pCO2 spatial distributions and describe their temporal variations. This investigation involved extensive tests of various model forms through parsimony and Principal Component Analysis, which led to the development of a multi-variable empirical surface pCO2 model based on concurrent MODIS (Moderate Resolution Imaging Spectroradiometer) estimates of surface chlorophyll a concentrations (CHL, mg m−3), diffuse light attenuation at 490 nm (Kd_Lee, m−1), and sea surface temperature (SST, °C). Validation using an independent dataset showed a pCO2 Root Mean Square Error (RMSE) of <12 µatm and a 0.88 coefficient of determination (R2) for measured and model-predicted pCO2 ranging from 300 to 550 µatm. The model was more sensitive to SST than to CHL and Kd_Lee, with a 1 °C change in SST leading to a ~16 µatm change in the predicted pCO2. Application of the model to the entire WFS MODIS time series between 2002 and 2014 showed clear seasonality, with maxima (~450 µatm) in summer and minima (~350 µatm) in winter. The seasonality was positively correlated to SST (high in summer and low in winter) and negatively correlated to CHL and Kd_Lee (high in winter and low in summer). Inter-annual variations of pCO2 were consistent with inter-annual variations of SST, CHL, and Kd_Lee. These results suggest that surface water pCO2 of the WFS can be estimated, with known uncertainties, from remote sensing. However, while the general approach of empirical regression may work for waters from other areas of the Gulf of Mexico, model coefficients need to be empirically determined in a similar fashion.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.csr.2016.09.004","usgsCitation":"Chen, S., Hu, C., Byrne, R., Robbins, L.L., and Yang, B., 2016, Remote estimation of surface pCO2 on the West Florida Shelf: Continental Shelf Research, v. 128, p. 10-25, https://doi.org/10.1016/j.csr.2016.09.004.","productDescription":"16 p.","startPage":"10","endPage":"25","ipdsId":"IP-071209","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":462067,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.csr.2016.09.004","text":"Publisher Index Page"},{"id":356293,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"West Florida Shelf","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85,\n 24\n ],\n [\n -80,\n 24\n ],\n [\n -80,\n 30\n ],\n [\n -85,\n 30\n ],\n [\n -85,\n 24\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"128","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b6fc864e4b0f5d57878ec28","contributors":{"authors":[{"text":"Chen, Shuangling","contributorId":177054,"corporation":false,"usgs":false,"family":"Chen","given":"Shuangling","email":"","affiliations":[],"preferred":false,"id":654429,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hu, Chuanmin","contributorId":177055,"corporation":false,"usgs":false,"family":"Hu","given":"Chuanmin","email":"","affiliations":[],"preferred":false,"id":654430,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Byrne, Robert H.","contributorId":83260,"corporation":false,"usgs":true,"family":"Byrne","given":"Robert H.","affiliations":[],"preferred":false,"id":654431,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robbins, Lisa L. 0000-0003-3681-1094 lrobbins@usgs.gov","orcid":"https://orcid.org/0000-0003-3681-1094","contributorId":422,"corporation":false,"usgs":true,"family":"Robbins","given":"Lisa","email":"lrobbins@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":654428,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yang, Bo","contributorId":149369,"corporation":false,"usgs":false,"family":"Yang","given":"Bo","email":"","affiliations":[{"id":13653,"text":"University South Florida","active":true,"usgs":false}],"preferred":false,"id":741896,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70220455,"text":"70220455 - 2016 - Calcareous microfossil-based orbital cyclostratigraphy in the Arctic Ocean","interactions":[],"lastModifiedDate":"2021-05-14T12:55:07.550461","indexId":"70220455","displayToPublicDate":"2016-10-01T07:52:59","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Calcareous microfossil-based orbital cyclostratigraphy in the Arctic Ocean","docAbstract":"Microfaunal and geochemical proxies from marine sediment records from central Arctic Ocean (CAO) submarine ridges suggest a close relationship over the last 550 thousand years (kyr) between orbital-scale climatic oscillations, sea-ice cover, marine biological productivity and other parameters. Multiple paleoclimate proxies record glacial to interglacial cycles. To understand the climate-cryosphere-productivity relationship, we examined the cyclostratigraphy of calcareous microfossils and constructed a composite Arctic Paleoclimate Index (API) “stack” from benthic foraminiferal and ostracode density from 14 sediment cores. Following the hypothesis that API is driven mainly by changes in sea-ice related productivity, the API stack shows the Arctic experienced a series of highly productive interglacials and interstadials every ∼20 kyr. These periods signify minimal ice shelf and sea-ice cover and maximum marine productivity. Rapid transitions in productivity are seen during shifts from interglacial to glacial climate states. Discrepancies between the Arctic API curves and various global climatic, sea-level and ice-volume curves suggest abrupt growth and decay of Arctic ice shelves related to climatic and sea level oscillations.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2016.07.004","usgsCitation":"Marzen, R.E., DeNinno, L.H., and Cronin, T.M., 2016, Calcareous microfossil-based orbital cyclostratigraphy in the Arctic Ocean: Quaternary Science Reviews, v. 149, p. 109-121, https://doi.org/10.1016/j.quascirev.2016.07.004.","productDescription":"13 p.","startPage":"109","endPage":"121","ipdsId":"IP-063485","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":385639,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"149","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Marzen, R. E.","contributorId":147453,"corporation":false,"usgs":false,"family":"Marzen","given":"R.","email":"","middleInitial":"E.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":false,"id":815575,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeNinno, Lauren H. ldeninno@usgs.gov","contributorId":258028,"corporation":false,"usgs":true,"family":"DeNinno","given":"Lauren","email":"ldeninno@usgs.gov","middleInitial":"H.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":815576,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":815577,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70148486,"text":"70148486 - 2016 - Calcareous microfossil-based orbital cyclostratigraphy in the Arctic Ocean","interactions":[],"lastModifiedDate":"2017-04-03T12:33:05","indexId":"70148486","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Calcareous microfossil-based orbital cyclostratigraphy in the Arctic Ocean","docAbstract":"Microfaunal and geochemical proxies from marine sediment records from central Arctic Ocean (CAO) submarine ridges suggest a close relationship over the last 550 thousand years (kyr) between orbital-scale climatic oscillations, sea-ice cover, marine biological productivity and other parameters. Multiple paleoclimate proxies record glacial to interglacial cycles. To understand the climate-cryosphere-productivity relationship, we examined the cyclostratigraphy of calcareous microfossils and constructed a composite Arctic Paleoclimate Index (API) \"stack\" from benthic foraminiferal and ostracode density from 14 sediment cores. Following the hypothesis that API is driven mainly by changes in sea-ice related productivity, the API stack shows the Arctic experienced a series of highly productive interglacials and interstadials every ∼20 kyr. These periods signify minimal ice shelf and sea-ice cover and maximum marine productivity. Rapid transitions in productivity are seen during shifts from interglacial to glacial climate states. Discrepancies between the Arctic API curves and various global climatic, sea-level and ice-volume curves suggest abrupt growth and decay of Arctic ice shelves related to climatic and sea level oscillations.
","language":"English","publisher":"Pergamon","publisherLocation":"Elmsford, NY","doi":"10.1016/j.quascirev.2016.07.004","usgsCitation":"Marzen, R., DeNinno, L.H., and Cronin, T.M., 2016, Calcareous microfossil-based orbital cyclostratigraphy in the Arctic Ocean: Quaternary Science Reviews, v. 149, p. 109-121, https://doi.org/10.1016/j.quascirev.2016.07.004.","productDescription":"13 p.","startPage":"109","endPage":"121","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066062","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":339037,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Arctic Ocean","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -186.15234374999997,\n 71.91088787611527\n ],\n [\n -126.5625,\n 71.91088787611527\n ],\n [\n -126.5625,\n 82.96189798993062\n ],\n [\n -186.15234374999997,\n 82.96189798993062\n ],\n [\n -186.15234374999997,\n 71.91088787611527\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"149","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58e35f7fe4b09da67997ecab","contributors":{"authors":[{"text":"Marzen, Rachel rmarzen@usgs.gov","contributorId":141094,"corporation":false,"usgs":true,"family":"Marzen","given":"Rachel","email":"rmarzen@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":548365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeNinno, Lauren H. ldeninno@usgs.gov","contributorId":5312,"corporation":false,"usgs":true,"family":"DeNinno","given":"Lauren","email":"ldeninno@usgs.gov","middleInitial":"H.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":548366,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":548367,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70187241,"text":"70187241 - 2016 - Development of habitat suitability indices for the Candy Darter, with cross-scale validation across representative populations","interactions":[],"lastModifiedDate":"2017-04-28T14:00:09","indexId":"70187241","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Development of habitat suitability indices for the Candy Darter, with cross-scale validation across representative populations","docAbstract":"Understanding relationships between habitat associations for individuals and habitat factors that limit populations is a primary challenge for managers of stream fishes. Although habitat use by individuals can provide insight into the adaptive significance of selected microhabitats, not all habitat parameters will be significant at the population level, particularly when distributional patterns partially result from habitat degradation. We used underwater observation to quantify microhabitat selection by an imperiled stream fish, the Candy Darter Etheostoma osburni, in two streams with robust populations. We developed multiple-variable and multiple-life-stage habitat suitability indices (HSIs) from microhabitat selection patterns and used them to assess the suitability of available habitat in streams where Candy Darter populations were extirpated, localized, or robust. Next, we used a comparative framework to examine relationships among (1) habitat availability across streams, (2) projected habitat suitability of each stream, and (3) a rank for the likely long-term viability (robustness) of the population inhabiting each stream. Habitat selection was characterized by ontogenetic shifts from the low-velocity, slightly embedded areas used by age-0 Candy Darters to the swift, shallow areas with little fine sediment and complex substrate, which were used by adults. Overall, HSIs were strongly correlated with population rank. However, we observed weak or inverse relationships between predicted individual habitat suitability and population robustness for multiple life stages and variables. The results demonstrated that microhabitat selection by individuals does not always reflect population robustness, particularly when based on a single life stage or season, which highlights the risk of generalizing habitat selection that is observed during nonstressful periods or for noncritical resources. These findings suggest that stream fish managers may need to be cautious when implementing conservation measures based solely on observations of habitat selection by individuals and that detailed study at the individual and population levels may be necessary to identify habitat that limits populations.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2016.1217929","usgsCitation":"Dunn, C.G., and Angermeier, P.L., 2016, Development of habitat suitability indices for the Candy Darter, with cross-scale validation across representative populations: Transactions of the American Fisheries Society, v. 145, no. 6, p. 1266-1281, https://doi.org/10.1080/00028487.2016.1217929.","productDescription":"16 p.","startPage":"1266","endPage":"1281","ipdsId":"IP-075181","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470544,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/journal_contribution/Development_of_Habitat_Suitability_Indices_for_the_Candy_Darter_with_Cross-Scale_Validation_across_Representative_Populations/4001256","text":"External Repository"},{"id":340627,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"145","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-07","publicationStatus":"PW","scienceBaseUri":"590454a3e4b022cee40dc230","contributors":{"authors":[{"text":"Dunn, Corey G.","contributorId":191569,"corporation":false,"usgs":false,"family":"Dunn","given":"Corey","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":693502,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Angermeier, Paul L. 0000-0003-2864-170X biota@usgs.gov","orcid":"https://orcid.org/0000-0003-2864-170X","contributorId":166679,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul","email":"biota@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693093,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70176901,"text":"70176901 - 2016 - Considerations for building climate-based species distribution models","interactions":[],"lastModifiedDate":"2016-10-20T14:11:27","indexId":"70176901","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Considerations for building climate-based species distribution models","docAbstract":"Climate plays an important role in the distribution of species. A given species may adjust to new conditions in-place, move to new areas with suitable climates, or go extinct. Scientists and conservation practitioners use mathematical models to predict the effects of future climate change on wildlife and plan for a biodiverse future. This 8-page fact sheet written by David N. Bucklin, Mathieu Basille, Stephanie S. Romañach, Laura A. Brandt, Frank J. Mazzotti, and James I. Watling and published by the Department of Wildlife Ecology and Conservation explains how, with a better understanding of species distribution models, we can predict how species may respond to climate change. The models alone cannot tell us how a certain species will actually respond to changes in climate, but they can inform conservation planning that aims to allow species to both adapt in place and (for those that are able to) move to newly suitable areas. Such planning will likely minimize loss of biodiversity due to climate change.","language":"English","publisher":"University of Florida IFAS Extension","usgsCitation":"Bucklin, D.N., Basille, M., Romanach, S.S., Brandt, L.A., Mazzotti, F., and Watling, J.I., 2016, Considerations for building climate-based species distribution models, 8 p.","productDescription":"8 p","ipdsId":"IP-075201","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":330262,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":329494,"type":{"id":15,"text":"Index Page"},"url":"https://edis.ifas.ufl.edu/UW420"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5809d7c3e4b0f497e78fca5d","contributors":{"authors":[{"text":"Bucklin, David N.","contributorId":175273,"corporation":false,"usgs":false,"family":"Bucklin","given":"David","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":650661,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Basille, Mathieu","contributorId":175274,"corporation":false,"usgs":false,"family":"Basille","given":"Mathieu","email":"","affiliations":[],"preferred":false,"id":650662,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Romanach, Stephanie S. 0000-0003-0271-7825 sromanach@usgs.gov","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":140419,"corporation":false,"usgs":true,"family":"Romanach","given":"Stephanie","email":"sromanach@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":650660,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brandt, Laura A.","contributorId":146646,"corporation":false,"usgs":false,"family":"Brandt","given":"Laura","email":"","middleInitial":"A.","affiliations":[{"id":6927,"text":"USFWS, National Wildlife Refuge System","active":true,"usgs":false}],"preferred":false,"id":650663,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mazzotti, Frank J.","contributorId":12358,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank J.","affiliations":[{"id":12604,"text":"Department of Wildlife Ecology and Conservation, Fort Lauderdale Research and Education Center, 3205 College Avenue, University of Florida, Davie, FL 33314, USA","active":true,"usgs":false}],"preferred":false,"id":650664,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Watling, James I.","contributorId":175275,"corporation":false,"usgs":false,"family":"Watling","given":"James","email":"","middleInitial":"I.","affiliations":[{"id":27555,"text":"John Carroll University","active":true,"usgs":false}],"preferred":false,"id":650665,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70193672,"text":"70193672 - 2016 - Walleye population and fishery responses after elimination of legal harvest on Escanaba Lake, Wisconsin","interactions":[],"lastModifiedDate":"2017-11-13T14:10:32","indexId":"70193672","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Walleye population and fishery responses after elimination of legal harvest on Escanaba Lake, Wisconsin","docAbstract":"Implementing harvest regulations to eliminate or substantially reduce (≥90%) the exploitation of Walleyes Sander vitreus in recreational fisheries may increase population size structure, but these measures also could reduce angler effort because many Walleye anglers are harvest oriented. We analyzed data collected during 1995–2015 to determine whether Walleye population and fishery metrics in Escanaba Lake, Wisconsin, changed after a minimum TL limit of 71 cm with a one-fish daily bag limit was implemented in 2003. This change eliminated the legal harvest of Walleyes after several decades during which annual exploitation averaged 34%. We detected a significant increase in the loge density of adult females after the regulation change, but the loge density of all adults and adult males did not differ between periods. Mean TL of adult males was significantly greater after the regulation change, but the mean TL of females and the proportional size distribution of preferred-length fish (≥51 cm TL) were similar between periods. Sex-specific mean TLs at age 5 did not differ between periods. Loge density of age-0 Walleyes did not change after 2003, but variation in age-0 density was lower. Total angler effort and the effort for anglers targeting Walleyes were significantly lower (35% and 60% declines, respectively) after the regulation change, whereas catch rates for both angler categories did not differ between periods. Our results suggest that implementing highly restrictive regulations that greatly reduce or eliminate legal harvest will not always increase angler catch rates and population size structure. Highly restrictive regulations may also deter anglers from using a fishery when many other fisheries are available. Our findings are useful for fishery managers who may work with anglers holding the belief that lower exploitation is a potential remedy for low Walleye size structure, even when density and growth suggest that there is limited potential for improvement.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2016.1221002","usgsCitation":"Haglund, J.M., Isermann, D.A., and Sass, G., 2016, Walleye population and fishery responses after elimination of legal harvest on Escanaba Lake, Wisconsin: North American Journal of Fisheries Management, v. 36, no. 6, p. 1315-1324, https://doi.org/10.1080/02755947.2016.1221002.","productDescription":"10 p.","startPage":"1315","endPage":"1324","ipdsId":"IP-068947","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348708,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Escanaba Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.59681034088135,\n 46.05598993228595\n ],\n [\n -89.57535266876219,\n 46.05598993228595\n ],\n [\n -89.57535266876219,\n 46.07165268566281\n ],\n [\n -89.59681034088135,\n 46.07165268566281\n ],\n [\n -89.59681034088135,\n 46.05598993228595\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-20","publicationStatus":"PW","scienceBaseUri":"5a60fcb7e4b06e28e9c24163","contributors":{"authors":[{"text":"Haglund, Justin M.","contributorId":200302,"corporation":false,"usgs":false,"family":"Haglund","given":"Justin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721839,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719848,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sass, Greg G.","contributorId":31281,"corporation":false,"usgs":true,"family":"Sass","given":"Greg G.","affiliations":[],"preferred":false,"id":721840,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70194117,"text":"70194117 - 2016 - Using smooth sheets to describe groundfish habitat in Alaskan waters, with specific application to two flatfishes","interactions":[],"lastModifiedDate":"2017-11-16T14:21:14","indexId":"70194117","displayToPublicDate":"2016-10-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5536,"text":"Deep Sea Research Part II: Topical Studies in Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Using smooth sheets to describe groundfish habitat in Alaskan waters, with specific application to two flatfishes","docAbstract":"In this analysis we demonstrate how preferred fish habitat can be predicted and mapped for juveniles of two Alaskan groundfish species – Pacific halibut (Hippoglossus stenolepis) and flathead sole (Hippoglossoides elassodon) – at five sites (Kiliuda Bay, Izhut Bay, Port Dick, Aialik Bay, and the Barren Islands) in the central Gulf of Alaska. The method involves using geographic information system (GIS) software to extract appropriate information from National Ocean Service (NOS) smooth sheets that are available from NGDC (the National Geophysical Data Center). These smooth sheets are highly detailed charts that include more soundings, substrates, shoreline and feature information than the more commonly-known navigational charts. By bringing the information from smooth sheets into a GIS, a variety of surfaces, such as depth, slope, rugosity and mean grain size were interpolated into raster surfaces. Other measurements such as site openness, shoreline length, proportion of bay that is near shore, areas of rocky reefs and kelp beds, water volumes, surface areas and vertical cross-sections were also made in order to quantify differences between the study sites. Proper GIS processing also allows linking the smooth sheets to other data sets, such as orthographic satellite photographs, topographic maps and precipitation estimates from which watersheds and runoff can be derived. This same methodology can be applied to larger areas, taking advantage of these free data sets to describe predicted groundfish essential fish habitat (EFH) in Alaskan waters.
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The geosciences (geology, hydrology,\r\ngeospatial sciences, environmental sciences) continue to lag far behind other science, technology,\r\nengineering and mathematical (STEM) disciplines in recruiting and retaining minorities (Valsco\r\nand Valsco, 2010). A report published by the National Science Foundation in 2015, “Women,\r\nMinorities, and Persons with Disabilities in Science and Engineering” states that from 2002 to\r\n2012, less than 2% of the geoscience degrees were awarded to African-American students. Data\r\nalso show that as of 2012, approximately 30% of African-American Ph.D. graduates obtained a\r\nbachelor’s degree from a Historic Black College or University (HBCU), indicating that HBCUs\r\nare a great source of diverse students for the geosciences. 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We evaluated the feasibility of applying expert elicitation to estimate population-level effects of disturbance on marine mammals. Diverse experts estimated parameters related to mortality and sublethal injury of North Atlantic right whales (Eubalaena glacialis). We are now eliciting expert knowledge on the movement of right whales among geographic regions to parameterize a spatial model of health. Expert elicitation complements methods such as simulation models or extrapolations from other species, sometimes with greater accuracy and less uncertainty.
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