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,{"id":70203236,"text":"70203236 - 2018 - Size, growth, and density data for shallow-water sea urchins from Mexico to the Aleutian Islands, Alaska, 1956–2016","interactions":[],"lastModifiedDate":"2021-08-12T15:03:32.594149","indexId":"70203236","displayToPublicDate":"2017-12-27T07:32:02","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Size, growth, and density data for shallow-water sea urchins from Mexico to the Aleutian Islands, Alaska, 1956–2016","docAbstract":"<p><span>Size, growth, and density have been studied for North American Pacific coast sea urchins&nbsp;</span><i>Strongylocentrotus purpuratus</i><span>,</span><i><span>&nbsp;</span>S.&nbsp;droebachiensis, S.&nbsp;polyacanthus</i><span>,</span><i><span>&nbsp;</span>Mesocentrotus (Strongylocentrotus) franciscanus</i><span>,</span><i><span>&nbsp;</span>Lytechinus pictus</i><span>,</span><i><span>&nbsp;</span>Centrostephanus coronatus</i><span>, and&nbsp;</span><i>Arbacia stellata</i><span>&nbsp;by various workers at diverse sites and for varying lengths of time from 1956 to present. Numerous peer-reviewed publications have used some of these data but some data have appeared only in graduate theses or the gray literature. There also are data that have never appeared outside original data sheets. Motivation for studies has included fisheries management and environmental monitoring of sewer and power plant outfalls as well as changes associated with disease epidemics. Studies also have focused on kelp restoration, community effects of sea otters, basic sea urchin biology, and monitoring. The data sets presented here are a historical record of size, density, and growth for a common group of marine invertebrates in intertidal and nearshore environments that can be used to test hypotheses concerning future changes associated with fisheries practices, shifts of predator distributions, climate and ecosystem changes, and ocean acidification along the Pacific Coast of North America and islands of the north Pacific.&nbsp;</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.2123","usgsCitation":"Ebert, T.A., Barr, L., Bodkin, J.L., Burcham, D., Bureau, D., Carson, H., Caruso, N., Caselle, J.E., Claisse, J., Clemente, S., Davis, K., Detwiler, P., Dixon, J., Duggins, D., Engle, J., Estes, J., Groth, S., Grupe, B., Halmay, P., Hebert, K., Hernandez, J.C., Jurgens, L.J., Kalvass, P., Kenner, M.C., Konar, B., Kushner, D., Lee, L., Leighton, D., Montano-Moctezuma, G., Munk, E., Olguin Espinoza, I., and Weitzman, B., 2018, Size, growth, and density data for shallow-water sea urchins from Mexico to the Aleutian Islands, Alaska, 1956–2016: Ecology, v. 99, no. 3, https://doi.org/10.1002/ecy.2123.","productDescription":"1 p.","startPage":"761","ipdsId":"IP-092000","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":469133,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.2123","text":"Publisher Index Page"},{"id":363414,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Mexico, United States","otherGeospatial":"Pacific Coast","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.39501953125,\n              14.859850400601037\n            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Brenda","contributorId":131034,"corporation":false,"usgs":false,"family":"Konar","given":"Brenda","affiliations":[{"id":7211,"text":"University of Alaska, Fairbanks","active":true,"usgs":false}],"preferred":false,"id":761838,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Kushner, David","contributorId":215213,"corporation":false,"usgs":false,"family":"Kushner","given":"David","affiliations":[{"id":39205,"text":"National Park Service, Channel Islands National Park","active":true,"usgs":false}],"preferred":false,"id":761839,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Lee, Lynn","contributorId":215214,"corporation":false,"usgs":false,"family":"Lee","given":"Lynn","email":"","affiliations":[{"id":36678,"text":"Simon Fraser University","active":true,"usgs":false}],"preferred":false,"id":761840,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Leighton, 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Irma","contributorId":215218,"corporation":false,"usgs":false,"family":"Olguin Espinoza","given":"Irma","email":"","affiliations":[{"id":36253,"text":"CICESE","active":true,"usgs":false}],"preferred":false,"id":761844,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Weitzman, Ben 0000-0001-7559-3654","orcid":"https://orcid.org/0000-0001-7559-3654","contributorId":214292,"corporation":false,"usgs":true,"family":"Weitzman","given":"Ben","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":761813,"contributorType":{"id":1,"text":"Authors"},"rank":44}]}}
,{"id":70203151,"text":"70203151 - 2018 - Ecosystem classification and mapping of the Laurentian Great Lakes","interactions":[],"lastModifiedDate":"2019-06-27T08:12:42","indexId":"70203151","displayToPublicDate":"2017-12-21T10:04:29","publicationYear":"2018","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":"Ecosystem classification and mapping of the Laurentian Great Lakes","docAbstract":"<p><span>Owing to the enormity and complexity of the Laurentian Great Lakes, an ecosystem classification is needed to better understand, protect, and manage this largest freshwater ecosystem in the world. Using a combination of statistical analyses, published knowledge, and expert opinion, we identified key driving variables and their ecologically relevant thresholds and delineated and mapped aquatic systems for the entire Great Lakes. We identified and mapped 77 aquatic ecological units (AEUs) that depict unique combinations of depth, thermal regime, hydraulic, and landscape classifiers. Those 77 AEU types were distributed across 1997 polygons (patches) ranging from 1 to &gt;48 000 km</span><sup>2</sup><span>&nbsp;in area and were most diverse in the nearshore (35 types), followed by the coastal margin (26), and then the offshore (16). Our classification and mapping of ecological units captures gradients that characterize types of aquatic systems in the Great Lakes and provides a geospatial accounting framework for resource inventory, status and trend assessment; research for ecosystem questions; and management and policy-making.</span></p>","language":"English","publisher":"Canadian Science ","doi":"10.1139/cjfas-2017-0242","usgsCitation":"C.M. Riseng, K. Wehrly, L. Wang, Rutherford, E., McKenna, J.E., Johnson, L., Mason, L., C. Castiglione, T. Hollenhorst, Sparks-Jackson, B.L., and Sowa, S.P., 2018, Ecosystem classification and mapping of the Laurentian Great Lakes: Canadian Journal of Fisheries and Aquatic Sciences, v. 75, no. 10, p. 1693-1712, https://doi.org/10.1139/cjfas-2017-0242.","productDescription":"20 p.","startPage":"1693","endPage":"1712","ipdsId":"IP-092669","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":469134,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://repository.library.noaa.gov/view/noaa/54491","text":"External Repository"},{"id":363176,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Laurentian Great Lakes","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92,\n              40\n            ],\n            [\n              -74,\n              40\n            ],\n            [\n              -74,\n              49.5\n            ],\n            [\n              -92,\n              49.5\n            ],\n            [\n              -92,\n              40\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"75","issue":"10","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"C.M. Riseng","contributorId":214997,"corporation":false,"usgs":false,"family":"C.M. Riseng","affiliations":[{"id":39153,"text":"U of Michigan","active":true,"usgs":false}],"preferred":false,"id":761400,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"K. Wehrly","contributorId":214998,"corporation":false,"usgs":false,"family":"K. Wehrly","affiliations":[{"id":6983,"text":"Michigan DNR","active":true,"usgs":false}],"preferred":false,"id":761401,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"L. Wang","contributorId":214999,"corporation":false,"usgs":false,"family":"L. Wang","affiliations":[{"id":39154,"text":"IJC","active":true,"usgs":false}],"preferred":false,"id":761402,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rutherford, E.","contributorId":215000,"corporation":false,"usgs":false,"family":"Rutherford","given":"E.","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":761403,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McKenna, James E. Jr. 0000-0002-1428-7597 jemckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-1428-7597","contributorId":195894,"corporation":false,"usgs":true,"family":"McKenna","given":"James","suffix":"Jr.","email":"jemckenna@usgs.gov","middleInitial":"E.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":761399,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, L.","contributorId":215001,"corporation":false,"usgs":false,"family":"Johnson","given":"L.","email":"","affiliations":[{"id":37646,"text":"U of Minnesota","active":true,"usgs":false}],"preferred":false,"id":761404,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mason, L.","contributorId":215002,"corporation":false,"usgs":false,"family":"Mason","given":"L.","email":"","affiliations":[{"id":6983,"text":"Michigan DNR","active":true,"usgs":false}],"preferred":false,"id":761405,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"C. Castiglione","contributorId":215003,"corporation":false,"usgs":false,"family":"C. Castiglione","affiliations":[{"id":7199,"text":"US FWS","active":true,"usgs":false}],"preferred":false,"id":761406,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"T. Hollenhorst","contributorId":215004,"corporation":false,"usgs":false,"family":"T. Hollenhorst","affiliations":[{"id":37646,"text":"U of Minnesota","active":true,"usgs":false}],"preferred":false,"id":761407,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sparks-Jackson, Beth L. 0000-0002-1726-1480","orcid":"https://orcid.org/0000-0002-1726-1480","contributorId":215005,"corporation":false,"usgs":true,"family":"Sparks-Jackson","given":"Beth","email":"","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":761408,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sowa, Scott P. 0000-0002-5425-2591 sowasp@missouri.edu","orcid":"https://orcid.org/0000-0002-5425-2591","contributorId":146672,"corporation":false,"usgs":false,"family":"Sowa","given":"Scott","email":"sowasp@missouri.edu","middleInitial":"P.","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":761424,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70216339,"text":"70216339 - 2018 - Managing the water-energy-food nexus: Opportunities in Central Asia","interactions":[],"lastModifiedDate":"2020-11-12T15:58:35.123594","indexId":"70216339","displayToPublicDate":"2017-12-19T09:54:26","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Managing the water-energy-food nexus: Opportunities in Central Asia","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab010\" class=\"abstract author\" lang=\"en\"><div id=\"as010\"><p id=\"sp0010\">This article examines impacts of infrastructure development and climate variability on economic outcomes for the Amu Darya Basin in Central Asia. It aims to identify the most economically productive mix of expanded reservoir storage for economic benefit sharing to occur, in which economic welfare of all riparians is improved. Policies examined include four combinations of storage infrastructure for each of two climate futures. An empirical optimization model is developed and applied to identify opportunities for improving the welfare of Tajikistan, Uzbekistan, Afghanistan, and Turkmenistan. The analysis 1) characterizes politically constrained and economically optimized water-use patterns for these combinations of expanded reservoir storage capacity, 2) describes Pareto-Improving packages of expanded storage capacity that could raise economic welfare for all four riparians, and accounts for impacts for each of two climate scenarios. Results indicate that a combination of targeted water storage infrastructure and efficient water allocation could produce outcomes for which the discounted net present value of benefits are favorable for each riparian. Results identify a framework to provide economic motivation for all riparians to cooperate through development of water storage infrastructure. Our findings illustrate the principle that development of water infrastructure can expand the negotiation space by which all communities can gain economic benefits in the face of limited water supply. Still, despite our optimistic findings, patient and deliberate negotiation will be required to transform potential improvements into actual gains.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2017.12.040","usgsCitation":"Jaliliv, S., Amer, S.A., and Ward, F., 2018, Managing the water-energy-food nexus: Opportunities in Central Asia: Journal of Hydrology, v. 557, p. 407-425, https://doi.org/10.1016/j.jhydrol.2017.12.040.","productDescription":"19 p.","startPage":"407","endPage":"425","ipdsId":"IP-090815","costCenters":[{"id":349,"text":"International Water Resources Branch","active":true,"usgs":true}],"links":[{"id":380460,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Central Asia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              48.8671875,\n              24.5271348225978\n            ],\n            [\n              93.779296875,\n              24.5271348225978\n            ],\n            [\n              93.779296875,\n              47.931066347509784\n            ],\n            [\n              48.8671875,\n              47.931066347509784\n            ],\n            [\n              48.8671875,\n              24.5271348225978\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"557","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jaliliv, Shokhrukh","contributorId":244841,"corporation":false,"usgs":false,"family":"Jaliliv","given":"Shokhrukh","email":"","affiliations":[{"id":48997,"text":"United Nations University Institute for the Advanced Study of Sustainability","active":true,"usgs":false}],"preferred":false,"id":804749,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Amer, Saud A. 0000-0002-5580-3260 samer@usgs.gov","orcid":"https://orcid.org/0000-0002-5580-3260","contributorId":244842,"corporation":false,"usgs":true,"family":"Amer","given":"Saud","email":"samer@usgs.gov","middleInitial":"A.","affiliations":[{"id":349,"text":"International Water Resources Branch","active":true,"usgs":true}],"preferred":true,"id":804750,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ward, Frank","contributorId":244843,"corporation":false,"usgs":false,"family":"Ward","given":"Frank","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":804751,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70247740,"text":"70247740 - 2018 - Constraints on friction, dilatancy, diffusivity, and effective stress from low-frequency earthquake rates on the deep San Andreas Fault","interactions":[],"lastModifiedDate":"2023-08-15T14:35:05.049341","indexId":"70247740","displayToPublicDate":"2017-12-15T09:29:13","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Constraints on friction, dilatancy, diffusivity, and effective stress from low-frequency earthquake rates on the deep San Andreas Fault","docAbstract":"<p><span>Families of recurring low-frequency earthquakes (LFEs) within nonvolcanic tremor on the San Andreas Fault in central California are sensitive to tidal stresses. LFEs occur at all levels of the tides, are strongly correlated and in phase with the ~200&nbsp;Pa shear stresses, and weakly and not systematically correlated with the ~2&nbsp;kPa tidal normal stresses. We assume that LFEs are small sources that repeatedly fail during shear within a much larger scale, aseismically slipping fault zone and consider two different models of the fault slip: (1) modulation of the fault slip rate by the tidal stresses or (2) episodic slip, triggered by the tides. LFEs are strongly clustered with duration much shorter than the semidiurnal tide; they cannot be significantly modulated on that time scale. The recurrence times of clusters, however, are many times longer than the semidiurnal, leading to an appearance of tidal triggering. In this context we examine the predictions of laboratory-observed triggered frictional (dilatant) fault slip. The undrained end-member model produces no sensitivity to the tidal normal stress, and slip onsets are in phase with the tidal shear stress. The tidal correlation constrains the diffusivity to be less than ~1&nbsp;×&nbsp;10</span><sup>−6</sup><span>/s and the product of the friction and dilatancy coefficients to be at most 5&nbsp;×&nbsp;10</span><sup>−7</sup><span>, orders of magnitude smaller than observed at room temperature. In the absence of dilatancy the effective normal stress at failure would be about ~55&nbsp;kPa. For this model the observations require intrinsic weakness, low dilatancy, and lithostatic pore fluid.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017JB015052","usgsCitation":"Beeler, N.M., Thomas, A., Bürgmann, R., and Shelly, D.R., 2018, Constraints on friction, dilatancy, diffusivity, and effective stress from low-frequency earthquake rates on the deep San Andreas Fault: Journal of Geophysical Research, v. 123, no. 1, p. 583-605, https://doi.org/10.1002/2017JB015052.","productDescription":"23 p.","startPage":"583","endPage":"605","ipdsId":"IP-071583","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":469135,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/2017jb015052","text":"External Repository"},{"id":419815,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"123","issue":"1","noUsgsAuthors":false,"publicationDate":"2018-01-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Beeler, Nicholas M. 0000-0002-3397-8481 nbeeler@usgs.gov","orcid":"https://orcid.org/0000-0002-3397-8481","contributorId":2682,"corporation":false,"usgs":true,"family":"Beeler","given":"Nicholas","email":"nbeeler@usgs.gov","middleInitial":"M.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":880222,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, Amanda","contributorId":195086,"corporation":false,"usgs":false,"family":"Thomas","given":"Amanda","affiliations":[],"preferred":false,"id":880223,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bürgmann, Roland","contributorId":172422,"corporation":false,"usgs":false,"family":"Bürgmann","given":"Roland","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":880224,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shelly, David R. 0000-0003-2783-5158 dshelly@usgs.gov","orcid":"https://orcid.org/0000-0003-2783-5158","contributorId":206750,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":880225,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70193046,"text":"70193046 - 2018 - Using enteric pathogens to assess sources of fecal contamination in the Silurian Dolomite Aquifer: Preliminary results","interactions":[],"lastModifiedDate":"2017-12-18T10:32:34","indexId":"70193046","displayToPublicDate":"2017-12-15T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Using enteric pathogens to assess sources of fecal contamination in the Silurian Dolomite Aquifer: Preliminary results","docAbstract":"The fractured Silurian dolomite aquifer is an important, but vulnerable, source of drinking water in northeast Wisconsin (Sherrill in Geology and ground water in Door County, Wisconsin, with emphasis on contamination potential in the Silurian dolomite, 1978; Bradbury and Muldoon in Hydrogeology and groundwater monitoring of fractured dolomite in the Upper Door Priority Watershed, Door County, Wisconsin, 1992; Muldoon and Bradbury in Assessing seasonal variations in recharge and water quality in the Silurian aquifer in areas with thicker soil cover. p 45, 2010). Areas underlain by the Silurian dolomite aquifer are extremely vulnerable to groundwater contamination from various land-use activities, especially the disposal of human wastewater and dairy manure. Currently there is no consensus as to which source of wastewater generates the greater impact to the aquifer.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Karst groundwater contamination and public health","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-51070-5_23","usgsCitation":"Muldoon, M.A., Borchardt, M.A., Spencer, S.K., Hunt, R.J., and Owens, D.W., 2018, Using enteric pathogens to assess sources of fecal contamination in the Silurian Dolomite Aquifer: Preliminary results, <i>in</i> Karst groundwater contamination and public health, p. 209-213, https://doi.org/10.1007/978-3-319-51070-5_23.","productDescription":"5 p.","startPage":"209","endPage":"213","ipdsId":"IP-078693","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":350058,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-07","publicationStatus":"PW","scienceBaseUri":"5a60fad2e4b06e28e9c2272c","contributors":{"authors":[{"text":"Muldoon, Maureen A.","contributorId":198974,"corporation":false,"usgs":false,"family":"Muldoon","given":"Maureen","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":717745,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Borchardt, Mark A. 0000-0002-6471-2627","orcid":"https://orcid.org/0000-0002-6471-2627","contributorId":151033,"corporation":false,"usgs":false,"family":"Borchardt","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":717746,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spencer, Susan K.","contributorId":181738,"corporation":false,"usgs":false,"family":"Spencer","given":"Susan","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":717747,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hunt, Randall J. 0000-0001-6465-9304 rjhunt@usgs.gov","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":1129,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall","email":"rjhunt@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":717744,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Owens, David W. 0000-0002-3219-9910 dwowens@usgs.gov","orcid":"https://orcid.org/0000-0002-3219-9910","contributorId":198975,"corporation":false,"usgs":true,"family":"Owens","given":"David","email":"dwowens@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":717749,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70194755,"text":"70194755 - 2018 - Punctuated sediment discharge during early Pliocene birth of the Colorado River: Evidence from regional stratigraphy, sedimentology, and paleontology","interactions":[],"lastModifiedDate":"2017-12-15T09:26:02","indexId":"70194755","displayToPublicDate":"2017-12-14T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3368,"text":"Sedimentary Geology","active":true,"publicationSubtype":{"id":10}},"title":"Punctuated sediment discharge during early Pliocene birth of the Colorado River: Evidence from regional stratigraphy, sedimentology, and paleontology","docAbstract":"<p id=\"sp0125\">The Colorado River in the southwestern U.S. provides an excellent natural laboratory for studying the origins of a continent-scale river system, because deposits that formed prior to and during river initiation are well exposed in the lower river valley and nearby basinal sink. This paper presents a synthesis of regional stratigraphy, sedimentology, and micropaleontology from the southern Bouse Formation and similar-age deposits in the western Salton Trough, which we use to interpret processes that controlled the birth and early evolution of the Colorado River. The southern Bouse Formation is divided into three laterally persistent members: basal carbonate, siliciclastic, and upper bioclastic members. Basal carbonate accumulated in a tide-dominated marine embayment during a rise of relative sea level between ~&nbsp;6.3 and 5.4&nbsp;Ma, prior to arrival of the Colorado River. The transition to green claystone records initial rapid influx of river water and its distal clay wash load into the subtidal marine embayment at ~&nbsp;5.4–5.3&nbsp;Ma. This was followed by rapid southward progradation of the Colorado River delta, establishment of the earliest through-flowing river, and deposition of river-derived turbidites in the western Salton Trough (Wind Caves paleocanyon) between ~&nbsp;5.3 and 5.1&nbsp;Ma. Early delta progradation was followed by regional shut-down of river sand output between ~&nbsp;5.1 and 4.8&nbsp;Ma that resulted in deposition of marine clay in the Salton Trough, retreat of the delta, and re-flooding of the lower river valley by shallow marine water that deposited the Bouse upper bioclastic member. Resumption of sediment discharge at ~&nbsp;4.8&nbsp;Ma drove massive progradation of fluvial-deltaic deposits back down the river valley into the northern Gulf and Salton Trough.</p><p id=\"sp0130\">These results provide evidence for a discontinuous, start-stop-start history of sand output during initiation of the Colorado River that is not predicted by existing models for this system. The underlying controls on punctuated sediment discharge are assessed by comparing the depositional chronology to the record of global sea-level change. The lower Colorado River Valley and Salton Trough experienced marine transgression during a gradual<span>&nbsp;</span><i>fall</i><span>&nbsp;</span>in global sea level between ~&nbsp;6.3 and 5.5&nbsp;Ma, implicating tectonic subsidence as the main driver of latest Miocene relative sea-level rise. A major fall of global sea level at 5.3&nbsp;Ma outpaced subsidence and drove regional delta progradation, earliest flushing of Colorado River sand into the northern Gulf of California, and erosion of Bouse basal carbonate and siliciclastic members. The lower Colorado River valley was re-flooded by shallow marine waters during smaller changes in global sea level&nbsp;~&nbsp;5.1–4.8&nbsp;Ma, after the river first ran through it, which requires a mechanism to stop delivery of sand to the lower river valley. We propose that tectonically controlled subsidence along the lower Colorado River, upstream of the southern Bouse study area, temporarily trapped sediment and stopped delivery of sand to the lower river valley and northern Gulf of California for ~&nbsp;200–300 kyr. Massive progradation of the fluvial-deltaic system back down the river valley into the Salton Trough starting ~&nbsp;4.8–4.5&nbsp;Ma apparently was driven by a huge increase in sediment discharge that overwhelmed the sediment-storage capacity of sub-basins along the lower river corridor and established the fully integrated river channel network.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.sedgeo.2017.09.018","usgsCitation":"Dorsey, R.J., O’Connell, B., McDougall-Reid, K., and Homan, M.B., 2018, Punctuated sediment discharge during early Pliocene birth of the Colorado River: Evidence from regional stratigraphy, sedimentology, and paleontology: Sedimentary Geology, v. 363, p. 1-33, https://doi.org/10.1016/j.sedgeo.2017.09.018.","productDescription":"33 p.","startPage":"1","endPage":"33","ipdsId":"IP-088437","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":469136,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.17605/osf.io/vp2x8","text":"Publisher Index Page"},{"id":350026,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Colorado River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.35345458984375,\n              32.59773394005744\n            ],\n            [\n              -114.51873779296875,\n              32.59773394005744\n            ],\n            [\n              -114.51873779296875,\n              33.76544869849223\n            ],\n            [\n              -116.35345458984375,\n              33.76544869849223\n            ],\n            [\n              -116.35345458984375,\n              32.59773394005744\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"363","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fad3e4b06e28e9c22739","contributors":{"authors":[{"text":"Dorsey, Rebecca J.","contributorId":167712,"corporation":false,"usgs":false,"family":"Dorsey","given":"Rebecca","email":"","middleInitial":"J.","affiliations":[{"id":24813,"text":"University of Oregan","active":true,"usgs":false}],"preferred":false,"id":725117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Connell, Brennan","contributorId":201373,"corporation":false,"usgs":false,"family":"O’Connell","given":"Brennan","affiliations":[],"preferred":false,"id":725119,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McDougall-Reid, Kristin 0000-0001-6026-0718 kris@usgs.gov","orcid":"https://orcid.org/0000-0001-6026-0718","contributorId":1942,"corporation":false,"usgs":true,"family":"McDougall-Reid","given":"Kristin","email":"kris@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":725118,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Homan, Mindy B.","contributorId":200337,"corporation":false,"usgs":false,"family":"Homan","given":"Mindy","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":725120,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70194778,"text":"70194778 - 2018 - Equilibrium and non-equilibrium controls on the abundances of clumped isotopologues of methane during thermogenic formation in laboratory experiments: Implications for the chemistry of pyrolysis and the origins of natural gases","interactions":[],"lastModifiedDate":"2017-12-15T09:13:38","indexId":"70194778","displayToPublicDate":"2017-12-14T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Equilibrium and non-equilibrium controls on the abundances of clumped isotopologues of methane during thermogenic formation in laboratory experiments: Implications for the chemistry of pyrolysis and the origins of natural gases","docAbstract":"<p><span>Multiply isotopically substituted molecules (‘clumped’ isotopologues) can be used as geothermometers because their proportions at isotopic equilibrium relative to a random distribution of isotopes amongst all isotopologues are functions of temperature. This has allowed measurements of clumped-isotope abundances to be used to constrain formation temperatures of several natural materials. However, kinetic processes during generation, modification, or transport of natural materials can also affect their clumped-isotope compositions. Herein, we show that methane generated experimentally by closed-system hydrous pyrolysis of shale or nonhydrous pyrolysis of coal yields clumped-isotope compositions consistent with an equilibrium distribution of isotopologues under some experimental conditions (temperature–time conditions corresponding to ‘low,’ ‘mature,’ and ‘over-mature’ stages of catagenesis), but can have non-equilibrium (i.e., kinetically controlled) distributions under other experimental conditions (‘high’ to ‘over-mature’ stages), particularly for pyrolysis of coal. Non-equilibrium compositions, when present, lead the measured proportions of clumped species to be lower than expected for equilibrium at the experimental temperature, and in some cases to be lower than a random distribution of isotopes (i.e., negative Δ</span><sub>18</sub><span><span>&nbsp;</span>values). We propose that the consistency with equilibrium for methane formed by relatively low temperature pyrolysis reflects local reversibility of isotope exchange reactions involving a reactant or transition state species during demethylation of one or more components of kerogen. Non-equilibrium clumped-isotope compositions occur under conditions where ‘secondary’ cracking of retained oil in shale or wet gas hydrocarbons (C</span><sub>2-5</sub><span>, especially ethane) in coal is prominent. We suggest these non-equilibrium isotopic compositions are the result of the expression of kinetic isotope effects during the irreversible generation of methane from an alkyl precursor. Other interpretations are also explored. These findings provide new insights into the chemistry of thermogenic methane generation, and may provide an explanation of the elevated apparent temperatures recorded by the methane clumped-isotope thermometer in some natural gases. However, it remains unknown if the laboratory experiments capture the processes that occur at the longer time and lower temperatures of natural gas formation.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2017.11.024","usgsCitation":"Shuai, Y., Douglas, P.M., Zhang, S., Stolper, D.A., Ellis, G.S., Lawson, M., Lewan, M., Formolo, M., Mi, J., He, K., Hu, G., and Eiler, J.M., 2018, Equilibrium and non-equilibrium controls on the abundances of clumped isotopologues of methane during thermogenic formation in laboratory experiments: Implications for the chemistry of pyrolysis and the origins of natural gases: Geochimica et Cosmochimica Acta, v. 223, p. 159-174, https://doi.org/10.1016/j.gca.2017.11.024.","productDescription":"16 p.","startPage":"159","endPage":"174","ipdsId":"IP-085257","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":461095,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/5qr487hm","text":"External Repository"},{"id":350024,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"223","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fad2e4b06e28e9c22733","contributors":{"authors":[{"text":"Shuai, Yanhua","contributorId":201375,"corporation":false,"usgs":false,"family":"Shuai","given":"Yanhua","email":"","affiliations":[],"preferred":false,"id":725128,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Douglas, Peter M.J.","contributorId":201376,"corporation":false,"usgs":false,"family":"Douglas","given":"Peter","email":"","middleInitial":"M.J.","affiliations":[],"preferred":false,"id":725129,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Shuichang","contributorId":201377,"corporation":false,"usgs":false,"family":"Zhang","given":"Shuichang","email":"","affiliations":[],"preferred":false,"id":725130,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stolper, Daniel A.","contributorId":201378,"corporation":false,"usgs":false,"family":"Stolper","given":"Daniel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":725131,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ellis, Geoffrey S. 0000-0003-4519-3320 gsellis@usgs.gov","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":1058,"corporation":false,"usgs":true,"family":"Ellis","given":"Geoffrey","email":"gsellis@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":725127,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lawson, Michael","contributorId":199115,"corporation":false,"usgs":false,"family":"Lawson","given":"Michael","email":"","affiliations":[],"preferred":false,"id":725132,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lewan, Michael 0000-0001-6347-1553 mlewan@usgs.gov","orcid":"https://orcid.org/0000-0001-6347-1553","contributorId":173938,"corporation":false,"usgs":true,"family":"Lewan","given":"Michael","email":"mlewan@usgs.gov","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":725133,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Formolo, Michael","contributorId":201379,"corporation":false,"usgs":false,"family":"Formolo","given":"Michael","email":"","affiliations":[],"preferred":false,"id":725134,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mi, Jingkui","contributorId":201380,"corporation":false,"usgs":false,"family":"Mi","given":"Jingkui","email":"","affiliations":[],"preferred":false,"id":725135,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"He, Kun","contributorId":201381,"corporation":false,"usgs":false,"family":"He","given":"Kun","email":"","affiliations":[],"preferred":false,"id":725136,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hu, Guoyi","contributorId":201382,"corporation":false,"usgs":false,"family":"Hu","given":"Guoyi","email":"","affiliations":[],"preferred":false,"id":725137,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Eiler, John M.","contributorId":190125,"corporation":false,"usgs":false,"family":"Eiler","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":725138,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70194711,"text":"70194711 - 2018 - Erratum: Understanding interaction effects of climate change and fire management on bird distributions through combined process and habitat models","interactions":[],"lastModifiedDate":"2018-03-13T09:27:24","indexId":"70194711","displayToPublicDate":"2017-12-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Erratum: Understanding interaction effects of climate change and fire management on bird distributions through combined process and habitat models","docAbstract":"This article corrects:\n\nUnderstanding Interaction Effects of Climate Change and Fire Management on Bird Distributions through Combined Process and Habitat Models\nVolume 25, Issue 3, 536–546, Article first published online: 28 April 2011","language":"English","publisher":"Wiley","doi":"10.1111/cobi.13055","usgsCitation":"Gutzwiller, K.J., White, J.D., Barrow, W., and Randall, L.A., 2018, Erratum: Understanding interaction effects of climate change and fire management on bird distributions through combined process and habitat models: Conservation Biology, v. 32, no. 1, p. 258-259, https://doi.org/10.1111/cobi.13055.","productDescription":"2 p.","startPage":"258","endPage":"259","ipdsId":"IP-090585","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":469138,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/cobi.13055","text":"Publisher Index Page"},{"id":349972,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-06","publicationStatus":"PW","scienceBaseUri":"5a60fad3e4b06e28e9c2273f","contributors":{"authors":[{"text":"Gutzwiller, Kevin J.","contributorId":201319,"corporation":false,"usgs":false,"family":"Gutzwiller","given":"Kevin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":724980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Joseph D.","contributorId":201320,"corporation":false,"usgs":false,"family":"White","given":"Joseph","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":724981,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barrow, Wylie C. Jr. 0000-0003-4671-2823 barroww@usgs.gov","orcid":"https://orcid.org/0000-0003-4671-2823","contributorId":168953,"corporation":false,"usgs":true,"family":"Barrow","given":"Wylie C.","suffix":"Jr.","email":"barroww@usgs.gov","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":724979,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Randall, Lori A. 0000-0003-0100-994X randalll@usgs.gov","orcid":"https://orcid.org/0000-0003-0100-994X","contributorId":2678,"corporation":false,"usgs":true,"family":"Randall","given":"Lori","email":"randalll@usgs.gov","middleInitial":"A.","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":724982,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70194702,"text":"70194702 - 2018 - Are ranger patrols effective in reducing poaching-related threats within protected areas?","interactions":[],"lastModifiedDate":"2017-12-13T13:31:57","indexId":"70194702","displayToPublicDate":"2017-12-13T00:00:00","publicationYear":"2018","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":"Are ranger patrols effective in reducing poaching-related threats within protected areas?","docAbstract":"<ol id=\"jpe12965-list-0001\" class=\"o-list--numbered o-list--paragraph\"><li>Poaching is one of the greatest threats to wildlife conservation world-wide. However, the spatial and temporal patterns of poaching activities within protected areas, and the effectiveness of ranger patrols and ranger posts in mitigating these threats, are relatively unknown.</li><li>We used 10&nbsp;years (2006–2015) of ranger-based monitoring data and dynamic multi-season occupancy models to quantify poaching-related threats, to examine factors influencing the spatio-temporal dynamics of these threats and to test the efficiency of management actions to combat poaching in Nyungwe National Park (NNP), Rwanda.</li><li>The probability of occurrence of poaching-related threats was highest at lower elevations (1,801–2,200&nbsp;m), especially in areas that were close to roads and tourist trails; conversely, occurrence probability was lowest at high elevation sites (2,601–3,000&nbsp;m), and near the park boundary and ranger posts. The number of ranger patrols substantially increased the probability that poaching-related threats disappear at a site if threats were originally present (i.e. probability of extinction of threats). Without ranger visits, the annual probability of extinction of poaching-related threats was an estimated 7%; this probability would increase to 20% and 57% with 20 and 50 ranger visits per year, respectively.</li><li>Our results suggest that poaching-related threats can be effectively reduced in NNP by adding ranger posts in areas where they do not currently exist, and by increasing the number of patrols to sites where the probability of poaching activities is high.</li><li><i>Synthesis and applications</i>. Our application of dynamic occupancy models to predict the probability of presence of poaching-related threats is novel, and explicitly considers imperfect detection of illegal activities. Based on the modelled relationships, we identify areas that are most vulnerable to poaching, and offer insights regarding how ranger patrols can be optimally deployed to reduce poaching-related threats and other illegal activites, while taking into account potential sampling biases. We show that poaching can be effectively reduced by increasing ranger patrols to areas under high risk of poaching activities, and by adding ranger patrols near these sites. These findings are broadly applicable to national parks and protected areas experiencing a high degree of poaching and other illegal activities.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/1365-2664.12965","usgsCitation":"Moore, J.F., Mulindahabi, F., Masozera, M.K., Nichols, J.D., Hines, J.E., Turikunkiko, E., and Oli, M.K., 2018, Are ranger patrols effective in reducing poaching-related threats within protected areas?: Journal of Applied Ecology, v. 55, no. 1, p. 99-107, https://doi.org/10.1111/1365-2664.12965.","productDescription":"9 p.","startPage":"99","endPage":"107","ipdsId":"IP-083605","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":469137,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.12965","text":"Publisher Index Page"},{"id":349969,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Rwanda","otherGeospatial":"Nyungwe National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              28.976440429687496,\n              -2.8662354211137324\n            ],\n            [\n              29.52850341796875,\n              -2.8662354211137324\n            ],\n            [\n              29.52850341796875,\n              -2.2214281090541204\n            ],\n            [\n              28.976440429687496,\n              -2.2214281090541204\n            ],\n            [\n              28.976440429687496,\n              -2.8662354211137324\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"55","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-02","publicationStatus":"PW","scienceBaseUri":"5a60fad3e4b06e28e9c22744","contributors":{"authors":[{"text":"Moore, Jennnifer F.","contributorId":201298,"corporation":false,"usgs":false,"family":"Moore","given":"Jennnifer","email":"","middleInitial":"F.","affiliations":[{"id":13453,"text":"University of Florida, Gainesville, FL","active":true,"usgs":false}],"preferred":false,"id":724935,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mulindahabi, Felix","contributorId":201299,"corporation":false,"usgs":false,"family":"Mulindahabi","given":"Felix","email":"","affiliations":[{"id":35968,"text":"Wildlife Conservation Society, Rwanda Program","active":true,"usgs":false}],"preferred":false,"id":724936,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Masozera, Michel K.","contributorId":201300,"corporation":false,"usgs":false,"family":"Masozera","given":"Michel","email":"","middleInitial":"K.","affiliations":[{"id":35968,"text":"Wildlife Conservation Society, Rwanda Program","active":true,"usgs":false}],"preferred":false,"id":724937,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nichols, James D. 0000-0002-7631-2890 jnichols@usgs.gov","orcid":"https://orcid.org/0000-0002-7631-2890","contributorId":200533,"corporation":false,"usgs":true,"family":"Nichols","given":"James","email":"jnichols@usgs.gov","middleInitial":"D.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":724934,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hines, James E. 0000-0001-5478-7230 jhines@usgs.gov","orcid":"https://orcid.org/0000-0001-5478-7230","contributorId":146530,"corporation":false,"usgs":true,"family":"Hines","given":"James","email":"jhines@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":724938,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Turikunkiko, Ezechiel","contributorId":201301,"corporation":false,"usgs":false,"family":"Turikunkiko","given":"Ezechiel","email":"","affiliations":[{"id":35969,"text":"Rwanda Development Board, Nyungwe National Park, Kitabi, Rwanda","active":true,"usgs":false}],"preferred":false,"id":724939,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Oli, Madan K. 0000-0001-6944-0061","orcid":"https://orcid.org/0000-0001-6944-0061","contributorId":201302,"corporation":false,"usgs":false,"family":"Oli","given":"Madan","email":"","middleInitial":"K.","affiliations":[{"id":13453,"text":"University of Florida, Gainesville, FL","active":true,"usgs":false}],"preferred":false,"id":724940,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70194709,"text":"70194709 - 2018 - Integrating continuous stocks and flows into state-and-transition simulation models of landscape change","interactions":[],"lastModifiedDate":"2018-04-09T12:04:46","indexId":"70194709","displayToPublicDate":"2017-12-13T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Integrating continuous stocks and flows into state-and-transition simulation models of landscape change","docAbstract":"<ol><li>State-and-transition simulation models (STSMs) provide a general framework for forecasting landscape dynamics, including projections of both vegetation and land-use/land-cover (LULC) change. The STSM method divides a landscape into spatially-referenced cells and then simulates the state of each cell forward in time, as a discrete-time stochastic process using a Monte Carlo approach, in response to any number of possible transitions. A current limitation of the STSM method, however, is that all of the state variables must be discrete.<br></li><li>Here we present a new approach for extending a STSM, in order to account for continuous state variables, called a state-and-transition simulation model with stocks and flows (STSM-SF). The STSM-SF method allows for any number of continuous stocks to be defined for every spatial cell in the STSM, along with a suite of continuous flows specifying the rates at which stock levels change over time. The change in the level of each stock is then simulated forward in time, for each spatial cell, as a discrete-time stochastic process. The method differs from the traditional systems dynamics approach to stock-flow modelling in that the stocks and flows can be spatially-explicit, and the flows can be expressed as a function of the STSM states and transitions.</li><li>We demonstrate the STSM-SF method by integrating a spatially-explicit carbon (C) budget model with a STSM of LULC change for the state of Hawai'i, USA. In this example, continuous stocks are pools of terrestrial C, while the flows are the possible fluxes of C between these pools. Importantly, several of these C fluxes are triggered by corresponding LULC transitions in the STSM. Model outputs include changes in the spatial and temporal distribution of C pools and fluxes across the landscape in response to projected future changes in LULC over the next 50 years.</li><li>The new STSM-SF method allows both discrete and continuous state variables to be integrated into a STSM, including interactions between them. With the addition of stocks and flows, STSMs provide a conceptually simple yet powerful approach for characterizing uncertainties in projections of a wide range of questions regarding landscape change.<br></li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.12952","usgsCitation":"Daniel, C.J., Sleeter, B.M., Frid, L., and Fortin, M., 2018, Integrating continuous stocks and flows into state-and-transition simulation models of landscape change: Methods in Ecology and Evolution, v. 9, no. 4, p. 1133-1143, https://doi.org/10.1111/2041-210X.12952.","productDescription":"11 p.","startPage":"1133","endPage":"1143","ipdsId":"IP-092677","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":469139,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.12952","text":"Publisher Index 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Center","active":true,"usgs":true}],"preferred":true,"id":724959,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frid, Leonardo","contributorId":56553,"corporation":false,"usgs":true,"family":"Frid","given":"Leonardo","affiliations":[],"preferred":false,"id":724961,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fortin, Marie-Josée","contributorId":40462,"corporation":false,"usgs":true,"family":"Fortin","given":"Marie-Josée","affiliations":[],"preferred":false,"id":724962,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70194695,"text":"70194695 - 2018 - To reduce the global burden of human schistosomiasis, use ‘old fashioned’ snail control","interactions":[],"lastModifiedDate":"2018-01-05T13:49:47","indexId":"70194695","displayToPublicDate":"2017-12-12T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3890,"text":"Trends in Parasitology","active":true,"publicationSubtype":{"id":10}},"title":"To reduce the global burden of human schistosomiasis, use ‘old fashioned’ snail control","docAbstract":"<p>Control strategies to reduce human schistosomiasis have evolved from ‘snail picking’ campaigns, a century ago, to modern wide-scale human treatment campaigns, or preventive chemotherapy. Unfortunately, despite the rise in preventive chemotherapy campaigns, just as many people suffer from schistosomiasis today as they did 50 years ago. Snail control can complement preventive chemotherapy by reducing the risk of transmission from snails to humans. Here, we present ideas for modernizing and scaling up snail control, including spatiotemporal targeting, environmental diagnostics, better molluscicides, new technologies (e.g., gene drive), and ‘outside the box’ strategies such as natural enemies, traps, and repellants. We conclude that, to achieve the World Health Assembly’s stated goal to eliminate schistosomiasis, it is time to give snail control another look.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.pt.2017.10.002","usgsCitation":"Sokolow, S.H., Wood, C.L., Jones, I.J., Lafferty, K.D., Kuris, A., Hsieh, M.H., and De Leo, G.A., 2018, To reduce the global burden of human schistosomiasis, use ‘old fashioned’ snail control: Trends in Parasitology, v. 34, no. 1, p. 23-40, https://doi.org/10.1016/j.pt.2017.10.002.","productDescription":"18 p.","startPage":"23","endPage":"40","ipdsId":"IP-089180","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":469140,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5819334","text":"Publisher Index Page"},{"id":349948,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"34","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fad4e4b06e28e9c2274b","contributors":{"authors":[{"text":"Sokolow, Susanne H.","contributorId":52503,"corporation":false,"usgs":false,"family":"Sokolow","given":"Susanne","email":"","middleInitial":"H.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":724905,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Chelsea L.","contributorId":192504,"corporation":false,"usgs":false,"family":"Wood","given":"Chelsea","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":724906,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones, Isabel J.","contributorId":173135,"corporation":false,"usgs":false,"family":"Jones","given":"Isabel","email":"","middleInitial":"J.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":724907,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":724904,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kuris, Armand","contributorId":181951,"corporation":false,"usgs":false,"family":"Kuris","given":"Armand","affiliations":[],"preferred":false,"id":724908,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hsieh, Michael H.","contributorId":146317,"corporation":false,"usgs":false,"family":"Hsieh","given":"Michael","email":"","middleInitial":"H.","affiliations":[{"id":16665,"text":"Stanford University; Biomedical Research Institute; Children's National Health System; The George Washington University","active":true,"usgs":false}],"preferred":false,"id":724909,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"De Leo, Giulio A.","contributorId":146323,"corporation":false,"usgs":false,"family":"De Leo","given":"Giulio","email":"","middleInitial":"A.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":724910,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70194672,"text":"70194672 - 2018 - Ore-forming adakitic porphyry produced by fractional crystallization of oxidized basaltic magmas in a subcrustal chamber (Jiamate, East Junggar, NW China)","interactions":[],"lastModifiedDate":"2018-01-05T13:48:51","indexId":"70194672","displayToPublicDate":"2017-12-12T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2588,"text":"LITHOS","active":true,"publicationSubtype":{"id":10}},"title":"Ore-forming adakitic porphyry produced by fractional crystallization of oxidized basaltic magmas in a subcrustal chamber (Jiamate, East Junggar, NW China)","docAbstract":"<p id=\"sp0050\">Adakitic intrusions are supposed to have a close genetic and spatial relationship to porphyry Cu deposits. However, the genesis of adakitic intrusions is still under dispute. Here, we describe newly discovered intrusive complex rocks, which are composed of ore-bearing, layered magnetite-bearing gabbroic and adakitic rocks in Jiamate, East Junggar, NW China. These Jiamate Complex intrusions have diagnostic petrologic, geochronologic and geochemical signatures that indicate they were all generated from the same oxidized precursor magma source. Additionally, these layered rocks underwent the same fractional crystallization process as the ore-bearing adakitic rocks in the adjacent Kalaxiangar Porphyry Cu Belt (KPCB) in an oceanic island arc (OIA) setting. The rocks studied for this paper include layered magnetite-bearing gabbroic intrusive rocks that contain: (1) gradual contact changes between lithological units of mafic and intermediate rocks, (2) geochemical signatures that are the same as those found in oceanic island arc (OIA) rocks, (3) typical adakitic geochemistry, and (4) similar characteristics and apparent fractional crystallization relationships of ultra-basic to basic rocks to those in the nearby Beitashan Formation and to ore-bearing adakitic rocks in the KPCB. They also display similar zircon U-Pb and zircon Hf model ages.</p><p id=\"sp0055\">The Jiamate Complex intrusions contain intergrowths of magnetite and layered gabbro, and the intermediate-acidic intrusions of the Complex display typical adakitic affinities. Moreover, in conjunction with previously published geochronological and geochemistry data of the mafic rocks in the Beitashan Formation and in the KPCB area, additional data generated for the Jiamate Complex intrusions rocks indicate that they were formed from fractional crystallization processes. The Jiamate Complex intrusions most likely were derived from a metasomatized mantle wedge that was underplated at the root of the Saur oceanic island arc (Saur OIA). The ore-bearing adakitic intrusions in the KPCB and the adakitic Jiamate Complex intrusions were both probably generated from the same basaltic parental magmas through fractional crystallization. In addition, characteristics of the layered, magnetite-bearing, oxidized, basaltic Jiamate Complex intrusive rocks indicate that they are likely to be the parental arc magmas for the nearby porphyry Cu deposits. This conclusion is based on new interpretations of the regional and local geology, on interpretation of new geochemical analysis, new stable isotope analysis, new geothermobarometry, and new zircon age dating as well as other techniques and interpretations.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.lithos.2017.11.004","usgsCitation":"Hong, T., Xu, X., Gao, J., Peters, S., Zhang, D., Jielili, R., Xiang, P., Li, H., Wu, C., You, J., Liu, J., and Ke, Q., 2018, Ore-forming adakitic porphyry produced by fractional crystallization of oxidized basaltic magmas in a subcrustal chamber (Jiamate, East Junggar, NW China): LITHOS, v. 296-299, p. 96-112, https://doi.org/10.1016/j.lithos.2017.11.004.","productDescription":"17 p.","startPage":"96","endPage":"112","ipdsId":"IP-092171","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":349951,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China","volume":"296-299","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fad4e4b06e28e9c22752","contributors":{"authors":[{"text":"Hong, Tao","contributorId":201265,"corporation":false,"usgs":false,"family":"Hong","given":"Tao","email":"","affiliations":[],"preferred":false,"id":724844,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xu, Xing-Wang","contributorId":201266,"corporation":false,"usgs":false,"family":"Xu","given":"Xing-Wang","email":"","affiliations":[],"preferred":false,"id":724845,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gao, Jungang","contributorId":201267,"corporation":false,"usgs":false,"family":"Gao","given":"Jungang","email":"","affiliations":[],"preferred":false,"id":724846,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peters, Stephen 0000-0002-4431-5675 speters@usgs.gov","orcid":"https://orcid.org/0000-0002-4431-5675","contributorId":167263,"corporation":false,"usgs":true,"family":"Peters","given":"Stephen","email":"speters@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":724843,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zhang, Di","contributorId":201268,"corporation":false,"usgs":false,"family":"Zhang","given":"Di","email":"","affiliations":[],"preferred":false,"id":724847,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jielili, Reyaniguli","contributorId":201269,"corporation":false,"usgs":false,"family":"Jielili","given":"Reyaniguli","email":"","affiliations":[],"preferred":false,"id":724848,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Xiang, Peng","contributorId":201270,"corporation":false,"usgs":false,"family":"Xiang","given":"Peng","email":"","affiliations":[],"preferred":false,"id":724849,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Li, Hao","contributorId":201271,"corporation":false,"usgs":false,"family":"Li","given":"Hao","email":"","affiliations":[],"preferred":false,"id":724850,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wu, Chu","contributorId":201272,"corporation":false,"usgs":false,"family":"Wu","given":"Chu","email":"","affiliations":[],"preferred":false,"id":724851,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"You, Jun","contributorId":201273,"corporation":false,"usgs":false,"family":"You","given":"Jun","email":"","affiliations":[],"preferred":false,"id":724852,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Liu, Jie","contributorId":201274,"corporation":false,"usgs":false,"family":"Liu","given":"Jie","email":"","affiliations":[],"preferred":false,"id":724853,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ke, Qiang","contributorId":201275,"corporation":false,"usgs":false,"family":"Ke","given":"Qiang","email":"","affiliations":[],"preferred":false,"id":724854,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70194697,"text":"70194697 - 2018 - Making do with less: Must sparse data preclude informed harvest strategies for European waterbirds?","interactions":[],"lastModifiedDate":"2018-03-05T15:35:22","indexId":"70194697","displayToPublicDate":"2017-12-12T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Making do with less: Must sparse data preclude informed harvest strategies for European waterbirds?","docAbstract":"<p><span>The demography of many European waterbirds is not well understood because most countries have conducted little monitoring and assessment, and coordination among countries on waterbird management has little precedent. Yet intergovernmental treaties now mandate the use of sustainable, adaptive harvest strategies, whose development is challenged by a paucity of demographic information. In this study, we explore how a combination of allometric relationships, fragmentary monitoring and research information, and expert judgment can be used to estimate the parameters of a theta-logistic population model, which in turn can be used in a Markov decision process to derive optimal harvesting strategies. We show how to account for considerable parametric uncertainty, as well as for different management objectives. We illustrate our methodology with a poorly understood population of taiga bean geese (</span><i>Anser fabalis fabalis</i><span>), which is a popular game bird in Fennoscandia. Our results for taiga bean geese suggest that they may have demographic rates similar to other, well-studied species of geese, and our model-based predictions of population size are consistent with the limited monitoring information available. Importantly, we found that by using a Markov decision process, a simple scalar population model may be sufficient to guide harvest management of this species, even if its demography is age-structured. Finally, we demonstrated how two different management objectives can lead to very different optimal harvesting strategies, and how conflicting objectives may be traded off with each other. This approach will have broad application for European waterbirds by providing preliminary estimates of key demographic parameters, by providing insights into the monitoring and research activities needed to corroborate those estimates, and by producing harvest management strategies that are optimal with respect to the managers’ objectives, options, and available demographic information.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.1659","usgsCitation":"Johnson, F.A., Alhainen, M., Fox, A.D., Madsen, J., and Guillemain, M., 2018, Making do with less: Must sparse data preclude informed harvest strategies for European waterbirds?: Ecological Applications, v. 28, no. 2, p. 427-441, https://doi.org/10.1002/eap.1659.","productDescription":"15 p.","startPage":"427","endPage":"441","ipdsId":"IP-088929","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":488803,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://pure.au.dk/portal/en/publications/a2b6629c-a26a-4469-86e1-4330c86ccf42","text":"External Repository"},{"id":349956,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Europe","volume":"28","issue":"2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-29","publicationStatus":"PW","scienceBaseUri":"5a60fae9e4b06e28e9c22970","contributors":{"authors":[{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"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":724914,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alhainen, Mikko","contributorId":141140,"corporation":false,"usgs":false,"family":"Alhainen","given":"Mikko","email":"","affiliations":[{"id":13690,"text":"Finnish Wildlife Agency","active":true,"usgs":false}],"preferred":false,"id":724915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fox, Anthony D.","contributorId":130960,"corporation":false,"usgs":false,"family":"Fox","given":"Anthony","email":"","middleInitial":"D.","affiliations":[{"id":7177,"text":"Dept of Bioscience, Aahus Univ, Denmark","active":true,"usgs":false}],"preferred":false,"id":724916,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Madsen, Jesper","contributorId":178168,"corporation":false,"usgs":false,"family":"Madsen","given":"Jesper","email":"","affiliations":[],"preferred":false,"id":724917,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guillemain, Matthieu","contributorId":141131,"corporation":false,"usgs":false,"family":"Guillemain","given":"Matthieu","email":"","affiliations":[{"id":13683,"text":"French National Hunting and Wildlife Agency (ONCFS)","active":true,"usgs":false}],"preferred":false,"id":724918,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70250552,"text":"70250552 - 2018 - Parasite spillover: Indirect effects of invasive Burmese pythons","interactions":[],"lastModifiedDate":"2023-12-15T12:49:00.072823","indexId":"70250552","displayToPublicDate":"2017-12-10T06:46:02","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Parasite spillover: Indirect effects of invasive Burmese pythons","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Identification of the origin of parasites of nonindigenous species (NIS) can be complex. NIS may introduce parasites from their native range and acquire parasites from within their invaded range. Determination of whether parasites are non-native or native can be complicated when parasite genera occur within both the NIS’ native range and its introduced range. We explored potential for spillover and spillback of lung parasites infecting Burmese pythons (<i>Python bivittatus</i>) in their invasive range (Florida). We collected 498 indigenous snakes of 26 species and 805 Burmese pythons during 2004–2016 and examined them for lung parasites. We used morphology to identify three genera of pentastome parasites,<span>&nbsp;</span><i>Raillietiella</i>, a cosmopolitan form, and<span>&nbsp;</span><i>Porocephalus</i><span>&nbsp;</span>and<span>&nbsp;</span><i>Kiricephalus</i>, both New World forms. We sequenced these parasites at one mitochondrial and one nuclear locus and showed that each genus is represented by a single species,<span>&nbsp;</span><i>R.&nbsp;orientalis</i>,<i><span>&nbsp;</span>P.&nbsp;crotali</i>, and<span>&nbsp;</span><i>K.&nbsp;coarctatus</i>. Pythons are host to<span>&nbsp;</span><i>R.&nbsp;orientalis</i><span>&nbsp;</span>and<span>&nbsp;</span><i>P.&nbsp;crotali</i>, but not<span>&nbsp;</span><i>K.&nbsp;coarctatus</i>; native snakes are host to all three species. Sequence data show that pythons introduced<span>&nbsp;</span><i>R.&nbsp;orientalis</i><span>&nbsp;</span>to North America, where this parasite now infects native snakes. Additionally, our data suggest that pythons are competent hosts to<span>&nbsp;</span><i>P.&nbsp;crotali</i>, a widespread parasite native to North and South America that was previously hypothesized to infect only viperid snakes. Our results indicate invasive Burmese pythons have affected parasite-host dynamics of native snakes in ways that are consistent with parasite spillover and demonstrate the potential for indirect effects during invasions. Additionally, we show that pythons have acquired a parasite native to their introduced range, which is the initial condition necessary for parasite spillback.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.3557","usgsCitation":"Miller, M.A., Kinsella, J.M., Snow, R.W., Hayes, M.M., Falk, B., Reed, R., Mazzotti, F.J., Guyer, C., and Romagosa, C.M., 2018, Parasite spillover: Indirect effects of invasive Burmese pythons: Ecology and Evolution, v. 8, no. 2, p. 830-840, https://doi.org/10.1002/ece3.3557.","productDescription":"11 p.","startPage":"830","endPage":"840","ipdsId":"IP-088197","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":469141,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.3557","text":"Publisher Index Page"},{"id":423617,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -82.2322197941513,\n              27.023249036412636\n            ],\n            [\n              -82.2322197941513,\n              24.953530151146467\n            ],\n            [\n              -79.69052675700385,\n              24.953530151146467\n            ],\n            [\n              -79.69052675700385,\n              27.023249036412636\n            ],\n            [\n              -82.2322197941513,\n              27.023249036412636\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"8","issue":"2","noUsgsAuthors":false,"publicationDate":"2017-12-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Melissa A.","contributorId":57701,"corporation":false,"usgs":false,"family":"Miller","given":"Melissa","email":"","middleInitial":"A.","affiliations":[{"id":39007,"text":"CA Dept of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":890349,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinsella, John M.","contributorId":190343,"corporation":false,"usgs":false,"family":"Kinsella","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":890350,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Snow, Ray W.","contributorId":76449,"corporation":false,"usgs":false,"family":"Snow","given":"Ray","email":"","middleInitial":"W.","affiliations":[{"id":13415,"text":"Everglades National Park","active":true,"usgs":false}],"preferred":false,"id":890351,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hayes, Malorie M","contributorId":332523,"corporation":false,"usgs":false,"family":"Hayes","given":"Malorie","email":"","middleInitial":"M","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":890352,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Falk, Bryan 0000-0002-9690-5626 bfalk@usgs.gov","orcid":"https://orcid.org/0000-0002-9690-5626","contributorId":150075,"corporation":false,"usgs":true,"family":"Falk","given":"Bryan","email":"bfalk@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":890353,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reed, Robert 0000-0001-8349-6168","orcid":"https://orcid.org/0000-0001-8349-6168","contributorId":267796,"corporation":false,"usgs":true,"family":"Reed","given":"Robert","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":890354,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mazzotti, Frank J.","contributorId":146647,"corporation":false,"usgs":false,"family":"Mazzotti","given":"Frank","email":"","middleInitial":"J.","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":890355,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Guyer, Craig","contributorId":104800,"corporation":false,"usgs":false,"family":"Guyer","given":"Craig","email":"","affiliations":[],"preferred":false,"id":890356,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Romagosa, Christina M.","contributorId":200925,"corporation":false,"usgs":false,"family":"Romagosa","given":"Christina","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":890357,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70194649,"text":"70194649 - 2018 - Recreation economics to inform migratory species conservation: Case study of the northern pintail","interactions":[],"lastModifiedDate":"2020-09-01T20:32:22.651796","indexId":"70194649","displayToPublicDate":"2017-12-08T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Recreation economics to inform migratory species conservation: Case study of the northern pintail","docAbstract":"<p><span>Quantification of the economic value provided by migratory species can aid in targeting management efforts and funding to locations yielding the greatest benefits to society and species conservation. Here we illustrate a key step in this process by estimating hunting and birding values of the northern pintail (</span><i>Anas acuta</i><span>) within primary breeding and wintering habitats used during the species’ annual migratory cycle in North America. We used published information on user expenditures and net economic values (consumer surplus) for recreational viewing and hunting to determine the economic value of pintail-based recreation in three primary breeding areas and two primary wintering areas. Summed expenditures and consumer surplus for northern pintail viewing were annually valued at \\$70M, and annual sport hunting totaled \\$31M (2014 USD). Expenditures for viewing (\\$42M) were more than twice as high than those for hunting (\\$18M). Estimates of consumer surplus, defined as the amount consumers are willing to pay above their current expenditures, were $15M greater for viewing (\\$28M) than for hunting (\\$13M). We discovered substantial annual consumer surplus (\\$41M) available for pintail conservation from birders and hunters. We also found spatial differences in economic value among the primary regions used by pintails, with viewing generally valued more in breeding regions than in wintering regions and the reverse being true for hunting. The economic value of pintail-based recreation in the Western wintering region (\\$26M) exceeded that in any other region by at least a factor of three. Our approach of developing regionally explicit economic values can be extended to other taxonomic groups, and is particularly suitable for migratory game birds because of the availability of large amounts of data. When combined with habitat-linked population models, regionally explicit values could inform development of more effective conservation finance and policy mechanisms to enhance environmental management and societal benefits across the geographically dispersed areas used by migratory species.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2017.11.048","usgsCitation":"Mattsson, B.J., Dubovsky, J.A., Thogmartin, W.E., Bagstad, K.J., Goldstein, J.H., Loomis, J., Diffendorfer, J., Semmens, D.J., Wiederholt, R., and Lopez-Hoffman, L., 2018, Recreation economics to inform migratory species conservation: Case study of the northern pintail: Journal of Environmental Management, v. 206, p. 971-979, https://doi.org/10.1016/j.jenvman.2017.11.048.","productDescription":"9 p.","startPage":"971","endPage":"979","ipdsId":"IP-090412","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true}],"links":[{"id":469143,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2017.11.048","text":"Publisher Index Page"},{"id":349885,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"206","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fad4e4b06e28e9c22759","contributors":{"authors":[{"text":"Mattsson, Brady J.","contributorId":201057,"corporation":false,"usgs":false,"family":"Mattsson","given":"Brady","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":724743,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dubovsky, James A.","contributorId":201247,"corporation":false,"usgs":false,"family":"Dubovsky","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":724744,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":724742,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":724745,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goldstein, Joshua H.","contributorId":201248,"corporation":false,"usgs":false,"family":"Goldstein","given":"Joshua","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":724746,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Loomis, John B.","contributorId":201249,"corporation":false,"usgs":false,"family":"Loomis","given":"John B.","affiliations":[],"preferred":false,"id":724747,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":724748,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":724749,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wiederholt, Ruscena","contributorId":149125,"corporation":false,"usgs":false,"family":"Wiederholt","given":"Ruscena","affiliations":[{"id":17653,"text":"School of Natural Resources & the Environment, The University of Arizona, Tucson","active":true,"usgs":false}],"preferred":false,"id":724750,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"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":724751,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70193238,"text":"70193238 - 2018 - Environmental characteristics and utilization potential of metallurgical slag","interactions":[],"lastModifiedDate":"2020-08-20T17:02:41.636484","indexId":"70193238","displayToPublicDate":"2017-12-08T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"19","title":"Environmental characteristics and utilization potential of metallurgical slag","docAbstract":"Slag, an abundant byproduct from the pyrometallurgical processing of ores, can be an environmental liability or a valuable resource. The most common environmental impact of slag is from the leaching of potentially toxic elements, acidity, or alkalinity that may impact nearby soils and surface water and groundwater.  Factors that influence its environmental behavior include physical characteristics, such as grain size and porosity, chemical composition with some slag being enriched in certain elements, the mineralogy and partitioning of elements in more or less reactive phases, water-slag interactions, and site conditions.  Many of these same factors also influence its resource potential. For example, crystalline ferrous slag is most commonly used as construction aggregate, whereas glassy (i.e., granulated) slag is used in cement.  Also, the calcium minerals found in ferrous slag result in useful applications in water treatment.  In contrast, the high trace-element content of some base-metal slags makes the slags economically attractive for extraction of residual elements.  An evaluation tool is used to help categorize a particular slag as an environmental hazard or valuable byproduct.  Results for one type of slag, legacy steelmaking slag from the Chicago area in the USA, suggest the material has potential to be used for treating phosphate-rich or acidic waters; however, the pH and trace-element content of resulting solutions may warrant further examination.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Environmental Geochemistry","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-444-63763-5.00020-3","usgsCitation":"Piatak, N.M., 2018, Environmental characteristics and utilization potential of metallurgical slag, chap. 19 <i>of</i> Environmental Geochemistry, p. 487-519, https://doi.org/10.1016/B978-0-444-63763-5.00020-3.","productDescription":"33 p.","startPage":"487","endPage":"519","ipdsId":"IP-080479","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":349933,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fad4e4b06e28e9c2276b","contributors":{"editors":[{"text":"De Vivo, Benedetto","contributorId":85202,"corporation":false,"usgs":true,"family":"De Vivo","given":"Benedetto","affiliations":[],"preferred":false,"id":724830,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Belkin, Harvey E. 0000-0001-7879-6529 hbelkin@usgs.gov","orcid":"https://orcid.org/0000-0001-7879-6529","contributorId":581,"corporation":false,"usgs":true,"family":"Belkin","given":"Harvey","email":"hbelkin@usgs.gov","middleInitial":"E.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":724831,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Lima, Annamaria","contributorId":176910,"corporation":false,"usgs":false,"family":"Lima","given":"Annamaria","email":"","affiliations":[{"id":17631,"text":"Department of Earth, Environment and Resources Sciences, University of Naples “Federico II”, Naples, Italy.","active":true,"usgs":false}],"preferred":false,"id":724832,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Piatak, Nadine M. 0000-0002-1973-8537 npiatak@usgs.gov","orcid":"https://orcid.org/0000-0002-1973-8537","contributorId":193010,"corporation":false,"usgs":true,"family":"Piatak","given":"Nadine","email":"npiatak@usgs.gov","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":718327,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70193307,"text":"70193307 - 2018 - Lead and strontium isotopes as monitors of anthropogenic contaminants in the surficial environment","interactions":[],"lastModifiedDate":"2020-08-20T17:00:35.524226","indexId":"70193307","displayToPublicDate":"2017-12-08T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"12","title":"Lead and strontium isotopes as monitors of anthropogenic contaminants in the surficial environment","docAbstract":"<p><span>Isotopic discrimination can be an effective tool in establishing a direct link between sources of Pb contamination and the presence of anomalously high concentrations of Pb in waters, soils, and organisms. Residential wells supplying water containing up to 1600&nbsp;ppb Pb to houses built on the former Mohr orchards commercial site, near Allentown, Pennsylvania, United States, were evaluated to discern anthropogenic from geogenic sources. Pb and Sr isotopic data and REE data were determined for waters from residential wells, test wells (drilled for this study), and surface waters from pond and creeks. Local soils, sediments, bedrock, Zn-Pb mineralization and coal were also analyzed, together with locally used Pb-As pesticide. Pb isotope data for residential wells, test wells, and surface waters show substantial overlap with Pb data reflecting anthropogenic actions (e.g., burning fossil fuels, industrial and urban processing activities). Limited contributions of Pb from bedrock, soils, and pesticides are evident. High Pb concentrations in the residential waters are likely related to Pb in groundwater accumulating in sediment in the residential water tanks. The Pb isotope features of waters in underlying shallow aquifers that supply residential wells in the region are best interpreted as reflecting a legacy of anthropogenic Pb rather than geogenic Pb.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Environmental Geochemistry","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-444-63763-5.00013-6","usgsCitation":"Ayuso, R.A., and Foley, N.K., 2018, Lead and strontium isotopes as monitors of anthropogenic contaminants in the surficial environment, chap. 12 <i>of</i> Environmental Geochemistry, p. 307-362, https://doi.org/10.1016/B978-0-444-63763-5.00013-6.","productDescription":"56 p.","startPage":"307","endPage":"362","ipdsId":"IP-082091","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":349929,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fad4e4b06e28e9c22765","contributors":{"authors":[{"text":"Ayuso, Robert A. 0000-0002-8496-9534 rayuso@usgs.gov","orcid":"https://orcid.org/0000-0002-8496-9534","contributorId":2654,"corporation":false,"usgs":true,"family":"Ayuso","given":"Robert","email":"rayuso@usgs.gov","middleInitial":"A.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":718623,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foley, Nora K. 0000-0003-0124-3509 nfoley@usgs.gov","orcid":"https://orcid.org/0000-0003-0124-3509","contributorId":4010,"corporation":false,"usgs":true,"family":"Foley","given":"Nora","email":"nfoley@usgs.gov","middleInitial":"K.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":718624,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70194558,"text":"sir20175109 - 2018 - Sequence stratigraphy, seismic stratigraphy, and seismic structures of the lower intermediate confining unit and most of the Floridan aquifer system, Broward County, Florida","interactions":[],"lastModifiedDate":"2018-01-25T09:03:53","indexId":"sir20175109","displayToPublicDate":"2017-12-08T00:00:00","publicationYear":"2018","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":"2017-5109","title":"Sequence stratigraphy, seismic stratigraphy, and seismic structures of the lower intermediate confining unit and most of the Floridan aquifer system, Broward County, Florida","docAbstract":"<p>Deep well injection and disposal of treated wastewater into the highly transmissive saline Boulder Zone in the lower part of the Floridan aquifer system began in 1971. The zone of injection is a highly transmissive hydrogeologic unit, the Boulder Zone, in the lower part of the Floridan aquifer system. Since the 1990s, however, treated wastewater injection into the Boulder Zone in southeastern Florida has been detected at three treated wastewater injection utilities in the brackish upper part of the Floridan aquifer system designated for potential use as drinking water. At a time when usage of the Boulder Zone for treated wastewater disposal is increasing and the utilization of the upper part of the Floridan aquifer system for drinking water is intensifying, there is an urgency to understand the nature of cross-formational fluid flow and identify possible fluid pathways from the lower to upper zones of the Floridan aquifer system. To better understand the hydrogeologic controls on groundwater movement through the Floridan aquifer system in southeastern Florida, the U.S. Geological Survey and the Broward County Environmental Planning and Community Resilience Division conducted a 3.5-year cooperative study from July 2012 to December 2015. The study characterizes the sequence stratigraphy, seismic stratigraphy, and seismic structures of the lower part of the intermediate confining unit aquifer and most of the Floridan aquifer system.</p><p>Data obtained to meet the study objective include 80 miles of high-resolution, two-dimensional (2D), seismic-reflection profiles acquired from canals in eastern Broward County. These profiles have been used to characterize the sequence stratigraphy, seismic stratigraphy, and seismic structures in a 425-square-mile study area. Horizon mapping of the seismic-reflection profiles and additional data collection from well logs and cores or cuttings from 44 wells were focused on construction of three-dimensional (3D) visualizations of eight sequence stratigraphic cycles that compose the Eocene to Miocene Oldsmar, Avon Park, and Arcadia Formations. The mapping of these seismic-reflection and well data has produced a refined Cenozoic sequence stratigraphic, seismic stratigraphic, and hydrogeologic framework of southeastern Florida. The upward transition from the Oldsmar Formation to the Avon Park Formation and the Arcadia Formation embodies the evolution from (1) a tropical to subtropical, shallow-marine, carbonate platform, represented by the Oldsmar and Avon Park Formations, to (2) a broad, temperate, mixed carbonate-siliciclastic shallow marine shelf, represented by the lower part of the Arcadia Formation, and to (3) a temperate, distally steepened carbonate ramp represented by the upper part of the Arcadia Formation.</p><p>In the study area, the depositional sequences and seismic sequences have a direct correlation with hydrogeologic units. The approximate upper boundary of four principal permeable units of the Floridan aquifer system (Upper Floridan aquifer, Avon Park permeable zone, uppermost major permeable zone of the Lower Floridan aquifer, and Boulder Zone) have sequence stratigraphic and seismic-reflection signatures that were identified on cross sections, mapped, or both, and therefore the sequence stratigraphy and seismic stratigraphy were used to guide the development of a refined spatial representation of these hydrogeologic units. In all cases, the permeability of the four permeable units is related to stratiform megaporosity generated by ancient dissolution of carbonate rock associated with subaerial exposure and unconformities at the upper surfaces of carbonate depositional cycles of several&nbsp;hierarchical scales ranging from high-frequency cycles to depositional sequences. Additionally, interparticle porosity also contributes substantially to the stratiform permeability in much of the Upper Floridan aquifer. Information from seismic stratigraphy allowed 3D geomodeling of hydrogeologic units—an approach never before applied to this area. Notably, the 3D geomodeling provided 3D visualizations and geocellular models of the depositional sequences, hydrostratigraphy, and structural features. The geocellular data could be used to update the hydrogeologic structure inherent to groundwater flow simulations that are designed to address the sustainability of the water resources of the Floridan aquifer system.</p><p>Two kinds of pathways that could enable upward cross-formational flow of injected treated wastewater from the Boulder Zone have been identified in the 80 miles of high-resolution seismic data collected for this study: a near-vertical reverse fault and karst collapse structures. The single reverse fault, inferred to be of tectonic origin, is in extreme northeastern Broward County and has an offset of about 19 feet at the level of the Arcadia Formation. Most of the 17 karst collapse structures identified manifest as columniform, vertically stacked sagging seismic reflections that span early Eocene to Miocene age rocks equivalent to much of the Floridan aquifer system and the lower part of the overlying intermediate confining unit. In some cases, the seismic-sag structures extend upward into strata of Pliocene age. The seismic-sag structures are interpreted to have a semicircular shape in plan view on the basis of comparison to (1) other seismic-sag structures in southeastern Florida mapped with two 2D seismic cross lines or 3D data, (2) comparison to these structures located in other carbonate provinces, and (3) plausible extensional ring faults detected with multi-attribute analysis. The seismic-sag structures in the study area have heights as great as 2,500 vertical feet, though importantly, one spans about 7,800 feet. Both multi-attribute analysis and visual detection of offset of seismic reflections within the seismic-sag structures indicate faults and fractures are associated with many of the structures. Multi-attribute analysis highlighting chimney fluid pathways also indicates that the seismic-sag structures have a high probability for potential vertical cross-formational fluid flow along the faulted and fractured structures. A collapse of the seismic-sag structures within a deep burial setting evokes an origin related to hypogenic karst processes by ascending flow of subsurface fluids. In addition, paleo-epigenic karst related to major regional subaerial unconformities within the Florida Platform generated collapse structures (paleo-sinkholes) that are much smaller in scale than the cross-formational seismic-sag structures.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175109","collaboration":"Prepared in cooperation with Broward County Environmental Planning and Community Resilience Division, Florida","usgsCitation":"Cunningham, K.J., Kluesner, J.W., Westcott, R.L., Robinson, Edward, Walker, Cameron, and Khan, S.A., 2018, Sequence stratigraphy, seismic stratigraphy, and seismic structures of the lower intermediate confining unit and most of the Floridan aquifer system, Broward County, Florida (ver. 1.1, January 2018): U.S. Geological Survey Scientific Investigations Report 2017–5109, 71 p., 21 pls., https://doi.org/10.3133/sir20175109.","productDescription":"Report: ix, 71 p.; 21 Plates; 2 Data Releases","numberOfPages":"86","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-066339","costCenters":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"links":[{"id":349725,"rank":20,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate18.pdf","text":"Plate 18","size":"10.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 18","linkHelpText":"Uninterpreted Seismic-Reflection Profiles Along the Eastern C–9 Canal, Oleta River, and Intracoastal Waterway, Miami-Dade County, Florida"},{"id":349728,"rank":23,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate21.pdf","text":"Plate 21","size":"5.77 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 21","linkHelpText":"Multi-Attribute Fault and Chimney Analyses of a Seismic-Reflection Profile Along the Hillsboro Canal, Eastern Broward County, Florida"},{"id":349721,"rank":16,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate14.pdf","text":"Plate 14","size":"16.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 14","linkHelpText":"Uninterpreted Seismic-Reflection Profiles Along the C–11 Canal, Eastern Broward County, Florida"},{"id":349726,"rank":21,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate19.pdf","text":"Plate 19","size":"11.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 19","linkHelpText":"Interpreted Seismic-Reflection Profiles Along the Eastern C–9 Canal, Oleta River, and Intracoastal Waterway, Miami-Dade County, Florida"},{"id":349710,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate03.pdf","text":"Plate 3","size":"9.83 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 3","linkHelpText":"Block Models Showing Altitudes of Eight Depositional-Sequence Upper Boundaries of the Oldsmar Formation, Avon Park Formation, and Arcadia Formation, Eastern Broward County, Florida"},{"id":349724,"rank":19,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate17.pdf","text":"Plate 17","size":"24.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 17","linkHelpText":"Interpreted Seismic-Reflection Profiles Along the C–9 Canal, Miami-Dade and Broward Counties, Florida"},{"id":349723,"rank":18,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate16.pdf","text":"Plate 16","size":"24.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 16","linkHelpText":"Uninterpreted Seismic-Reflection Profiles Along the C–9 Canal, Miami-Dade and Broward Counties, Florida"},{"id":349708,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate01.pdf","text":"Plate 1","size":"4.20 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 1","linkHelpText":"Synthetic Seismograms from Floridan Aquifer System Wells, Eastern Broward County, Florida, Part 1"},{"id":349720,"rank":15,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate13.pdf","text":"Plate 13","size":"21.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 13","linkHelpText":"Interpreted Seismic-Reflection Profiles Along the North New River Canal, Eastern Broward County, Florida"},{"id":349706,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5109/coverthb2.jpg"},{"id":349707,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109.pdf","text":"Report","size":"36.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109"},{"id":349730,"rank":25,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F77942R3","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Marine seismic profiles used to assess the seismic stratigraphy and structure of the intermediate confining unit and Floridan aquifer system, Broward County, Florida"},{"id":350450,"rank":26,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2017/5109/versionHist.txt","size":"1 MB","linkFileType":{"id":2,"text":"txt"}},{"id":349709,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate02.pdf","text":"Plate 2","size":"2.14 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 2","linkHelpText":"Synthetic Seismograms from Floridan Aquifer System Wells, Eastern Broward County, Florida, Part 2"},{"id":349711,"rank":6,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate04.pdf","text":"Plate 4","size":"16.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 4","linkHelpText":"Maps Showing Altitudes of Eight Depositional-Sequence Upper Boundaries of the Oldsmar Formation, Avon Park Formation, and Arcadia Formation, Eastern Broward County, Florida"},{"id":349712,"rank":7,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate05.pdf","text":"Plate 5","size":"2.38 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 5","linkHelpText":"Detailed Graphical Lithologic Log of the Avon Park Formation in the G–2984 Test Corehole"},{"id":349717,"rank":12,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate10.pdf","text":"Plate 10","size":"37.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 10","linkHelpText":"Uninterpreted Seismic-Reflection Profiles Along the L–35A and L–36 Canals, Eastern Broward County, Florida"},{"id":349716,"rank":11,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate09.pdf","text":"Plate 9","size":"33.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 9","linkHelpText":"Interpreted Seismic-Reflection Profiles Along the C–13 Canal, Eastern Broward County, Florida"},{"id":349722,"rank":17,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate15.pdf","text":"Plate 15","size":"17.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 15","linkHelpText":"Interpreted Seismic-Reflection Profiles Along the C–11 Canal, Eastern Broward County, Florida"},{"id":349713,"rank":8,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate06.pdf","text":"Plate 6","size":"24.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 6","linkHelpText":"Uninterpreted Seismic-Reflection Profile Along the Hillsboro Canal, Eastern Broward County, Florida"},{"id":349719,"rank":14,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate12.pdf","text":"Plate 12","size":"20.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 12","linkHelpText":"Uninterpreted Seismic-Reflection Profiles Along the North New River Canal, Eastern Broward County, Florida"},{"id":349729,"rank":24,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F72R3PVF","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Synthetic Seismogram Data for Correlation Between Seismic-Reflection Profiles and Well Data, Broward County, Florida"},{"id":349714,"rank":9,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate07.pdf","text":"Plate 7","size":"24.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 7","linkHelpText":"Interpreted Seismic-Reflection Profile Along the Hillsboro Canal, Eastern Broward County, Florida"},{"id":349727,"rank":22,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate20.pdf","text":"Plate 20","size":"711 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 20","linkHelpText":"Detailed Graphical Lithologic Log of the Arcadia Formation in the G–2984 Test Corehole"},{"id":349715,"rank":10,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate08.pdf","text":"Plate 8","size":"32.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 8","linkHelpText":"Uninterpreted Seismic-Reflection Profiles Along the C-13 Canal, Eastern Broward County, Florida"},{"id":349718,"rank":13,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2017/5109/sir20175109_plate11.pdf","text":"Plate 11","size":"37.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5109 Plate 11","linkHelpText":"Interpreted Seismic-Reflection Profiles Along the L–35A and L–36 Canals, Eastern Broward County, Florida"}],"country":"United States","state":"Florida","county":"Broward County","otherGeospatial":"Floridan Aquifer System","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.44395446777344,\n              25.921614023117172\n            ],\n            [\n              -80.06629943847656,\n              25.921614023117172\n            ],\n            [\n              -80.06629943847656,\n              26.35742006833118\n            ],\n            [\n              -80.44395446777344,\n              26.35742006833118\n            ],\n            [\n              -80.44395446777344,\n              25.921614023117172\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0: Originally released December 8, 2017; Version 1.1: January 16, 2018","contact":"<p>Director, <a href=\"https://www2.usgs.gov/water/caribbeanflorida/index.html\" data-mce-href=\"https://www2.usgs.gov/water/caribbeanflorida/index.html\">Caribbean-Florida Water Science Center</a><br>U.S. Geological Survey<br>4446 Pet Lane, Suite 108<br>Lutz, FL 33559<br></p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Methods of Investigation<br></li><li>Geology and Sequence Stratigraphy<br></li><li>Hydrogeology<br></li><li>Seismic Stratigraphy<br></li><li>Seismic Structures<br></li><li>Summary and Conclusions<br></li><li>References Cited<br></li><li>Glossary<br></li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2017-12-08","revisedDate":"2018-01-16","noUsgsAuthors":false,"publicationDate":"2017-12-08","publicationStatus":"PW","scienceBaseUri":"5a60e452e4b06e28e9c1406d","contributors":{"authors":[{"text":"Cunningham, Kevin J. 0000-0002-2179-8686 kcunning@usgs.gov","orcid":"https://orcid.org/0000-0002-2179-8686","contributorId":1689,"corporation":false,"usgs":true,"family":"Cunningham","given":"Kevin","email":"kcunning@usgs.gov","middleInitial":"J.","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":724466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kluesner, Jared W. 0000-0003-1701-8832 jkluesner@usgs.gov","orcid":"https://orcid.org/0000-0003-1701-8832","contributorId":167088,"corporation":false,"usgs":true,"family":"Kluesner","given":"Jared","email":"jkluesner@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":724470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Westcott, Richard L.","contributorId":201159,"corporation":false,"usgs":false,"family":"Westcott","given":"Richard L.","affiliations":[],"preferred":false,"id":724468,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robinson, Edward","contributorId":193060,"corporation":false,"usgs":false,"family":"Robinson","given":"Edward","affiliations":[],"preferred":false,"id":724467,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walker, Cameron","contributorId":81777,"corporation":false,"usgs":true,"family":"Walker","given":"Cameron","affiliations":[],"preferred":false,"id":724471,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Khan, Shakira A.","contributorId":201160,"corporation":false,"usgs":false,"family":"Khan","given":"Shakira","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":724469,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70194569,"text":"70194569 - 2018 - Fog water collection effectiveness: Mesh intercomparisons","interactions":[],"lastModifiedDate":"2018-01-11T16:29:06","indexId":"70194569","displayToPublicDate":"2017-12-08T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5576,"text":"Aerosol and Air Quality Research","onlineIssn":"2071-1409","printIssn":"1680-8584","active":true,"publicationSubtype":{"id":10}},"title":"Fog water collection effectiveness: Mesh intercomparisons","docAbstract":"<p><span>To explore fog water harvesting potential in California, we conducted long-term measurements involving three types of mesh using standard fog collectors (SFC). Volumetric fog water measurements from SFCs and wind data were collected and recorded in 15-minute intervals over three summertime fog seasons (2014–2016) at four California sites. SFCs were deployed with: standard 1.00 m</span><sup>2</sup><span><span>&nbsp;</span>double-layer 35% shade coefficient Raschel; stainless steel mesh coated with the MIT-14 hydrophobic formulation; and FogHa-Tin, a German manufactured, 3-dimensional spacer fabric deployed in two orientations. Analysis of 3419 volumetric samples from all sites showed strong relationships between mesh efficiency and wind speed. Raschel mesh collected 160% more fog water than FogHa-Tin at wind speeds less than 1 m s</span><sup>–1</sup><span><span>&nbsp;</span>and 45% less for wind speeds greater than 5 m s</span><sup>–1</sup><span>. MIT-14 coated stainless-steel mesh collected more fog water than Raschel mesh at all wind speeds. At low wind speeds of &lt; 1 m s</span><sup>–1</sup><span><span>&nbsp;</span>the coated stainless steel mesh collected 3% more and at wind speeds of 4–5 m s</span><sup>–1</sup><span>, it collected 41% more. FogHa-Tin collected 5% more fog water when the warp of the weave was oriented vertically, per manufacturer specification, than when the warp of the weave was oriented horizontally. Time series measurements of three distinct mesh across similar wind regimes revealed inconsistent lags in fog water collection and inconsistent performance. Since such differences occurred under similar wind-speed regimes, we conclude that other factors play important roles in mesh performance, including in-situ fog event and aerosol dynamics that affect droplet-size spectra and droplet-to-mesh surface interactions.</span></p>","language":"English","publisher":"AAQR","doi":"10.4209/aaqr.2017.01.0040","usgsCitation":"Fernandez, D., Torregrosa, A.A., Weiss-Penzias, P., Zhang, B.J., Sorensen, D., Cohen, R., McKinley, G., Kleingartner, J., Oliphant, A., and Bowman, M., 2018, Fog water collection effectiveness: Mesh intercomparisons: Aerosol and Air Quality Research, v. 18, no. 1, p. 270-283, https://doi.org/10.4209/aaqr.2017.01.0040.","productDescription":"14 p.","startPage":"270","endPage":"283","ipdsId":"IP-083333","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":469142,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4209/aaqr.2017.01.0040","text":"Publisher Index Page"},{"id":349889,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -123.07983398437499,\n              36.230981283477924\n            ],\n            [\n              -121.67358398437499,\n              36.230981283477924\n            ],\n            [\n              -121.67358398437499,\n              38.758366935612784\n            ],\n            [\n              -123.07983398437499,\n              38.758366935612784\n            ],\n            [\n              -123.07983398437499,\n              36.230981283477924\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"18","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fad4e4b06e28e9c22760","contributors":{"authors":[{"text":"Fernandez, Daniel","contributorId":201177,"corporation":false,"usgs":false,"family":"Fernandez","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":724513,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Torregrosa, Alicia A. 0000-0001-7361-2241 atorregrosa@usgs.gov","orcid":"https://orcid.org/0000-0001-7361-2241","contributorId":3471,"corporation":false,"usgs":true,"family":"Torregrosa","given":"Alicia","email":"atorregrosa@usgs.gov","middleInitial":"A.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":724512,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weiss-Penzias, Peter","contributorId":177440,"corporation":false,"usgs":false,"family":"Weiss-Penzias","given":"Peter","affiliations":[],"preferred":false,"id":724514,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhang, Bong June","contributorId":201178,"corporation":false,"usgs":false,"family":"Zhang","given":"Bong","email":"","middleInitial":"June","affiliations":[],"preferred":false,"id":724515,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sorensen, Deckard","contributorId":201179,"corporation":false,"usgs":false,"family":"Sorensen","given":"Deckard","email":"","affiliations":[],"preferred":false,"id":724516,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cohen, Robert","contributorId":201180,"corporation":false,"usgs":false,"family":"Cohen","given":"Robert","affiliations":[],"preferred":false,"id":724517,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McKinley, Gareth","contributorId":201181,"corporation":false,"usgs":false,"family":"McKinley","given":"Gareth","email":"","affiliations":[],"preferred":false,"id":724518,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kleingartner, Justin","contributorId":201182,"corporation":false,"usgs":false,"family":"Kleingartner","given":"Justin","email":"","affiliations":[],"preferred":false,"id":724519,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Oliphant, Andrew","contributorId":201183,"corporation":false,"usgs":false,"family":"Oliphant","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":724520,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bowman, Matthew","contributorId":201184,"corporation":false,"usgs":false,"family":"Bowman","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":724521,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70268475,"text":"70268475 - 2018 - Human drivers, biophysical changes, and climatic variation affecting contemporary cropping proportions in the northern prairie of the U.S","interactions":[],"lastModifiedDate":"2025-06-27T14:14:10.363122","indexId":"70268475","displayToPublicDate":"2017-12-07T09:09:32","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2367,"text":"Journal of Land Use Science","active":true,"publicationSubtype":{"id":10}},"title":"Human drivers, biophysical changes, and climatic variation affecting contemporary cropping proportions in the northern prairie of the U.S","docAbstract":"<p><span>Grassland to cropland conversion in the northern prairie of the United States has been a topic of recent land use change studies. Within this region more corn and soybeans are grown now (2017) than in the past, but most studies to date have not examined multi-decadal trends and the synergistic web of socio-ecological driving forces involved, opting instead for short-term analyses and easily targeted agents of change. This paper examines the coalescing of biophysical and socioeconomic driving forces that have brought change to the agricultural landscape of this region between 1980 and 2013. While land conversion has occurred, most of the region’s cropland in 2013 had been previously cropped by the early 1980s. Furthermore, the agricultural conditions in which crops were grown during those three decades have changed considerably because of non-biophysical alterations to production practices and changing agricultural markets. Findings revealed that human drivers played more of a role in crop change than biophysical changes, that blending quantitative and qualitative methods to tell a more complete story of crop change in this region was difficult because of the synergistic characteristics of the drivers involved, and that more research is needed to understand how farmers make crop choice decisions.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/1747423X.2017.1413433","usgsCitation":"Auch, R.F., Xian, G.Z., Laingen, C., Sayler, K., and Reker, R., 2018, Human drivers, biophysical changes, and climatic variation affecting contemporary cropping proportions in the northern prairie of the U.S: Journal of Land Use Science, v. 13, no. 1-2, p. 32-58, https://doi.org/10.1080/1747423X.2017.1413433.","productDescription":"27 p.","startPage":"32","endPage":"58","ipdsId":"IP-089029","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":502423,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://works.bepress.com/chris_laingen/23/","text":"External Repository"},{"id":491525,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, North Dakota, South Dakota","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -95.55061629675149,\n              49\n            ],\n            [\n              -101.16902741893975,\n              49\n            ],\n            [\n              -101.16902741893975,\n              43.37757197727322\n            ],\n            [\n              -95.55061629675149,\n              43.37757197727322\n            ],\n            [\n              -95.55061629675149,\n              49\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"13","issue":"1-2","noUsgsAuthors":false,"publicationDate":"2017-12-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Auch, Roger F. 0000-0002-5382-5044 auch@usgs.gov","orcid":"https://orcid.org/0000-0002-5382-5044","contributorId":667,"corporation":false,"usgs":true,"family":"Auch","given":"Roger","email":"auch@usgs.gov","middleInitial":"F.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":941445,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Xian, George Z. 0000-0001-5674-2204","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":238919,"corporation":false,"usgs":true,"family":"Xian","given":"George","email":"","middleInitial":"Z.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":941447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Laingen, Christopher R. 0000-0002-3079-4847","orcid":"https://orcid.org/0000-0002-3079-4847","contributorId":357453,"corporation":false,"usgs":false,"family":"Laingen","given":"Christopher R.","affiliations":[{"id":5043,"text":"Eastern Illinois University","active":true,"usgs":false}],"preferred":false,"id":941448,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sayler, Kristi L. 0000-0003-2514-242X sayler@usgs.gov","orcid":"https://orcid.org/0000-0003-2514-242X","contributorId":2988,"corporation":false,"usgs":true,"family":"Sayler","given":"Kristi","email":"sayler@usgs.gov","middleInitial":"L.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":941449,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reker, R 0000-0001-7524-0082","orcid":"https://orcid.org/0000-0001-7524-0082","contributorId":243028,"corporation":false,"usgs":false,"family":"Reker","given":"R","affiliations":[{"id":48618,"text":"ASRC Federal InuTeq, EROS","active":true,"usgs":false}],"preferred":false,"id":941450,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70194634,"text":"70194634 - 2018 - Numerical modeling of salt marsh morphological change induced by Hurricane Sandy","interactions":[],"lastModifiedDate":"2017-12-07T15:34:17","indexId":"70194634","displayToPublicDate":"2017-12-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1262,"text":"Coastal Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Numerical modeling of salt marsh morphological change induced by Hurricane Sandy","docAbstract":"<p><span>The salt marshes of Jamaica Bay serve as a recreational outlet for New York City residents, mitigate wave impacts during coastal storms, and provide habitat for critical wildlife species. Hurricanes have been recognized as one of the critical drivers of coastal wetland morphology due to their effects on hydrodynamics and sediment transport, deposition, and erosion processes. In this study, the Delft3D modeling suite was utilized to examine the effects of Hurricane Sandy (2012) on salt marsh morphology in Jamaica Bay. Observed marsh elevation change and accretion from rod Surface Elevation Tables&nbsp;and feldspar Marker Horizons (SET-MH) and hydrodynamic measurements during Hurricane Sandy were used to calibrate and validate the wind-waves-surge-sediment transport-morphology coupled model. The model results agreed well with&nbsp;</span><i>in situ</i><span><span>&nbsp;</span>field measurements. The validated model was then used to detect salt marsh morphological change due to Sandy across Jamaica Bay. Model results indicate that the island-wide morphological changes in the bay's salt marshes due to Sandy were in the range of −30&nbsp;mm (erosion) to +15&nbsp;mm (deposition), and spatially complex and heterogeneous. The storm generated paired deposition and erosion patches at local scales. Salt marshes inside the west section of the bay showed erosion overall while marshes inside the east section showed deposition from Sandy. The net sediment amount that Sandy brought into the bay is only about 1% of the total amount of reworked sediment within the bay during the storm. Numerical experiments show that waves and vegetation played a critical role in sediment transport and associated wetland morphological change in Jamaica Bay. Furthermore, without the protection of vegetation, the marsh islands of Jamaica Bay would experience both more erosion and less accretion in coastal storms.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coastaleng.2017.11.001","usgsCitation":"Hu, K., Chen, Q., Wang, H., Hartig, E., and Orton, P.M., 2018, Numerical modeling of salt marsh morphological change induced by Hurricane Sandy: Coastal Engineering, v. 132, p. 63-81, https://doi.org/10.1016/j.coastaleng.2017.11.001.","productDescription":"19 p.","startPage":"63","endPage":"81","ipdsId":"IP-083439","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":469146,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.coastaleng.2017.11.001","text":"Publisher Index Page"},{"id":349863,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Jamaica Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -73.81782531738281,\n              40.65147128144057\n            ],\n            [\n              -73.85181427001953,\n              40.648085029646715\n            ],\n            [\n              -73.87687683105469,\n              40.64079098062354\n            ],\n            [\n              -73.90193939208984,\n              40.627763910481185\n            ],\n            [\n              -73.91189575195312,\n              40.60092013543081\n            ],\n            [\n              -73.89644622802734,\n              40.577977105192225\n            ],\n            [\n              -73.86932373046875,\n              40.57093618838665\n            ],\n            [\n              -73.81473541259766,\n              40.58814601026153\n            ],\n            [\n              -73.76667022705078,\n              40.595706501568905\n            ],\n            [\n              -73.75980377197266,\n              40.622291783092706\n            ],\n            [\n              -73.81782531738281,\n              40.65147128144057\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"132","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fad5e4b06e28e9c2276e","contributors":{"authors":[{"text":"Hu, Kelin","contributorId":177218,"corporation":false,"usgs":false,"family":"Hu","given":"Kelin","email":"","affiliations":[],"preferred":false,"id":724671,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chen, Q. 0000-0002-6540-8758","orcid":"https://orcid.org/0000-0002-6540-8758","contributorId":56532,"corporation":false,"usgs":false,"family":"Chen","given":"Q.","affiliations":[{"id":38331,"text":"Northeastern University","active":true,"usgs":false}],"preferred":true,"id":724672,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, Hongqing 0000-0002-2977-7732 wangh@usgs.gov","orcid":"https://orcid.org/0000-0002-2977-7732","contributorId":140432,"corporation":false,"usgs":true,"family":"Wang","given":"Hongqing","email":"wangh@usgs.gov","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":724670,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hartig, Ellen K.","contributorId":179351,"corporation":false,"usgs":false,"family":"Hartig","given":"Ellen K.","affiliations":[],"preferred":false,"id":724673,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Orton, Philip M.","contributorId":179354,"corporation":false,"usgs":false,"family":"Orton","given":"Philip","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":724674,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70194642,"text":"70194642 - 2018 - Landscape-scale variation in canopy water content of giant sequoias during drought","interactions":[],"lastModifiedDate":"2018-04-27T16:45:23","indexId":"70194642","displayToPublicDate":"2017-12-07T00:00:00","publicationYear":"2018","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":"Landscape-scale variation in canopy water content of giant sequoias during drought","docAbstract":"<p><span>Recent drought (2012–2016) caused unprecedented foliage dieback in giant sequoias (</span><i>Sequoiadendron giganteum</i><span>), a species endemic to the western slope of the southern Sierra Nevada in central California. As part of an effort to understand and map sequoia response to droughts, we studied the patterns of remotely sensed canopy water content (CWC), both within and among sequoia groves in two successive years during the drought period (2015 and 2016). Our aims were: (1) to quantify giant sequoia responses to severe drought stress at a landscape scale using CWC as an indicator of crown foliage status, and (2) to estimate the effect of environmental correlates that mediate CWC change within and among giant sequoia groves. We utilized airborne high fidelity imaging spectroscopy (HiFIS) and light detection and ranging (LiDAR) data from the Carnegie Airborne Observatory to assess giant sequoia foliage status during 2015 and 2016 of the 2012–2016 droughts. A series of statistical models were generated to classify giant sequoias and to map their location in Sequoia and Kings Canyon National Parks (SEKI) and vicinity. We explored the environmental correlates and the spatial patterns of CWC change at the landscape scale. The mapped CWC was highly variable throughout the landscape during the two observation years, and proved to be most closely related to geological substrates, topography, and site-specific water balance. While there was an overall net gain in sequoia CWC between 2015 and 2016, certain locations (lower elevations, steeper slopes, areas more distant from surface water sources, and areas with greater climate water deficit) showed CWC losses. In addition, we found greater CWC loss in shorter sequoias and those growing in areas with lower sequoia stem densities. Our results suggest that CWC change indicates sequoia response to droughts across landscapes. Long-term monitoring of giant sequoia CWC will likely be useful for modeling and predicting their population-level response to future climate change.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2017.11.018","usgsCitation":"Paz-Kagan, T., Vaughn, N.R., Martin, R.E., Brodrick, P.G., Stephenson, N.L., Das, A., Nydick, K.R., and Asner, G.P., 2018, Landscape-scale variation in canopy water content of giant sequoias during drought: Forest Ecology and Management, v. 419-420, p. 291-304, https://doi.org/10.1016/j.foreco.2017.11.018.","productDescription":"14 p.","startPage":"291","endPage":"304","ipdsId":"IP-091087","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":469144,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2017.11.018","text":"Publisher Index Page"},{"id":349874,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sierra Nevada","volume":"419-420","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60faeae4b06e28e9c22982","contributors":{"authors":[{"text":"Paz-Kagan, Tarin","contributorId":196597,"corporation":false,"usgs":false,"family":"Paz-Kagan","given":"Tarin","email":"","affiliations":[],"preferred":false,"id":724710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vaughn, Nicolas R.","contributorId":201233,"corporation":false,"usgs":false,"family":"Vaughn","given":"Nicolas","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":724711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martin, Roberta E.","contributorId":201234,"corporation":false,"usgs":false,"family":"Martin","given":"Roberta","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":724712,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brodrick, Philip G.","contributorId":201235,"corporation":false,"usgs":false,"family":"Brodrick","given":"Philip","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":724713,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":724709,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Das, Adrian 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":201236,"corporation":false,"usgs":true,"family":"Das","given":"Adrian","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":724714,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nydick, Koren R.","contributorId":196601,"corporation":false,"usgs":false,"family":"Nydick","given":"Koren","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":724715,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Asner, Gregory P.","contributorId":25393,"corporation":false,"usgs":false,"family":"Asner","given":"Gregory","email":"","middleInitial":"P.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":724716,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70194576,"text":"70194576 - 2018 - Oak habitat recovery on California's largest islands: Scenarios for the role of corvid seed dispersal","interactions":[],"lastModifiedDate":"2018-04-17T12:34:48","indexId":"70194576","displayToPublicDate":"2017-12-07T00:00:00","publicationYear":"2018","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":"Oak habitat recovery on California's largest islands: Scenarios for the role of corvid seed dispersal","docAbstract":"<ol id=\"jpe13041-list-0001\" class=\"o-list--numbered o-list--paragraph\"><li><p>Seed dispersal by birds is central to the passive restoration of many tree communities. Reintroduction of extinct seed dispersers can therefore restore degraded forests and woodlands. To test this, we constructed a spatially explicit simulation model, parameterized with field data, to consider the effect of different seed dispersal scenarios on the extent of oak populations. We applied the model to two islands in California's Channel Islands National Park (USA), one of which has lost a key seed disperser.</p></li><li><p>We used an ensemble modelling approach to simulate island scrub oak (<i>Quercus pacifica</i>) demography. The model was developed and trained to recreate known population changes over a 20-year period on 250-km<sup>2</sup><span>&nbsp;</span>Santa Cruz Island, and incorporated acorn dispersal by island scrub-jays (<i>Aphelocoma insularis</i>), deer mice (<i>Peromyscus maniculatus</i>) and gravity, as well as seed predation. We applied the trained model to 215-km<sup>2</sup><span>&nbsp;</span>Santa Rosa Island to examine how reintroducing island scrub-jays would affect the rate and pattern of oak population expansion. Oak habitat on Santa Rosa Island has been greatly reduced from its historical extent due to past grazing by introduced ungulates, the last of which were removed by 2011.</p></li><li><p>Our simulation model predicts that a seed dispersal scenario including island scrub-jays would increase the extent of the island scrub oak population on Santa Rosa Island by 281% over 100&nbsp;years, and by 544% over 200&nbsp;years. Scenarios without jays would result in little expansion. Simulated long-distance seed dispersal by jays also facilitates establishment of discontinuous patches of oaks, and increases their elevational distribution.</p></li><li><p><i>Synthesis and applications</i>. Scenario planning provides powerful decision support for conservation managers. We used ensemble modelling of plant demographic and seed dispersal processes to investigate whether the reintroduction of seed dispersers could provide cost-effective means of achieving broader ecosystem restoration goals on California's second-largest island. The simulation model, extensively parameterized with field data, suggests that re-establishing the mutualism with seed-hoarding jays would accelerate the expansion of island scrub oak, which could benefit myriad species of conservation concern.</p></li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/1365-2664.13041","usgsCitation":"Pesendorfer, M.B., Baker, C.M., Stringer, M., McDonald-Madden, E., Bode, M., McEachern, K., Morrison, S.A., and Sillett, T., 2018, Oak habitat recovery on California's largest islands: Scenarios for the role of corvid seed dispersal: Journal of Applied Ecology, v. 55, no. 3, p. 1185-1194, https://doi.org/10.1111/1365-2664.13041.","productDescription":"10 p.","startPage":"1185","endPage":"1194","ipdsId":"IP-091412","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":469145,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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Michael","contributorId":139966,"corporation":false,"usgs":false,"family":"Bode","given":"Michael","email":"","affiliations":[],"preferred":false,"id":724547,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McEachern, Kathryn 0000-0003-2631-8247 kathryn_mceachern@usgs.gov","orcid":"https://orcid.org/0000-0003-2631-8247","contributorId":146324,"corporation":false,"usgs":true,"family":"McEachern","given":"Kathryn","email":"kathryn_mceachern@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":724542,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Morrison, Scott A.","contributorId":83780,"corporation":false,"usgs":false,"family":"Morrison","given":"Scott","email":"","middleInitial":"A.","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":724548,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sillett, T. 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,{"id":70194577,"text":"70194577 - 2018 - Using gene transcription to assess ecological and anthropological stressors in brown bears","interactions":[],"lastModifiedDate":"2018-06-19T10:08:11","indexId":"70194577","displayToPublicDate":"2017-12-07T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1443,"text":"EcoHealth","active":true,"publicationSubtype":{"id":10}},"title":"Using gene transcription to assess ecological and anthropological stressors in brown bears","docAbstract":"<p><span>Increasingly, population- and ecosystem-level health assessments are performed using sophisticated molecular tools. Advances in molecular technology enable the identification of synergistic effects of multiple stressors on the individual physiology of different species. Brown bears (</span><i class=\"EmphasisTypeItalic \">Ursus arctos</i><span>) are an apex predator; thus, they are ideal candidates for detecting potentially ecosystem-level systemic perturbations using molecular-based tools. We used gene transcription to analyze 130 brown bear samples from three National Parks and Preserves in Alaska. Although the populations we studied are apparently stable in abundance and exist within protected and intact environments, differences in transcript profiles were noted. The most prevalent differences were among locations. The transcript patterns among groups reflect the influence of environmental factors, such as nutritional status, disease, and xenobiotic exposure. However, these profiles also likely represent baselines for each unique environment by which future measures can be made to identify early indication of population-level changes due to, for example, increasing Arctic temperatures. Some of those environmental changes are predicted to be potentially positive for brown bears, but other effects such as the manifestation of disease or indirect effects of oceanic acidification may produce negative impacts.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10393-017-1287-0","usgsCitation":"Bowen, L., Miles, A.K., Waters-Dynes, S.C., Gustine, D., Joly, K., and Hilderbrand, G., 2018, Using gene transcription to assess ecological and anthropological stressors in brown bears: EcoHealth, p. 121-131, https://doi.org/10.1007/s10393-017-1287-0.","productDescription":"11 p.","startPage":"121","endPage":"131","ipdsId":"IP-088276","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":349881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Gates National Park and Preserve, Katmai National Park and Preserve,  Lake Clark National Park and Preserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -158,\n              66.5\n            ],\n            [\n              -149,\n              66.5\n            ],\n            [\n              -149,\n              68.5\n            ],\n            [\n              -158,\n              68.5\n            ],\n            [\n              -158,\n              66.5\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -156.09375,\n              58\n            ],\n            [\n              -152.3583984375,\n              58\n            ],\n            [\n              -152.3583984375,\n              61.5\n            ],\n            [\n              -156.09375,\n              61.5\n            ],\n            [\n              -156.09375,\n              58\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-22","publicationStatus":"PW","scienceBaseUri":"5a60faebe4b06e28e9c2298e","contributors":{"authors":[{"text":"Bowen, Lizabeth 0000-0001-9115-4336 lbowen@usgs.gov","orcid":"https://orcid.org/0000-0001-9115-4336","contributorId":4539,"corporation":false,"usgs":true,"family":"Bowen","given":"Lizabeth","email":"lbowen@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":724550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miles, A. Keith 0000-0002-3108-808X keith_miles@usgs.gov","orcid":"https://orcid.org/0000-0002-3108-808X","contributorId":196,"corporation":false,"usgs":true,"family":"Miles","given":"A.","email":"keith_miles@usgs.gov","middleInitial":"Keith","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":724551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waters-Dynes, Shannon C. 0000-0002-9707-4684 swaters@usgs.gov","orcid":"https://orcid.org/0000-0002-9707-4684","contributorId":5826,"corporation":false,"usgs":true,"family":"Waters-Dynes","given":"Shannon","email":"swaters@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":724552,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gustine, Dave","contributorId":201190,"corporation":false,"usgs":false,"family":"Gustine","given":"Dave","email":"","affiliations":[],"preferred":false,"id":724553,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Joly, Kyle","contributorId":53117,"corporation":false,"usgs":false,"family":"Joly","given":"Kyle","email":"","affiliations":[{"id":12462,"text":"U.S. Department of the Interior, National Park Service","active":true,"usgs":false}],"preferred":false,"id":724554,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hilderbrand, Grant V. 0000-0002-0051-8315 ghilderbrand@usgs.gov","orcid":"https://orcid.org/0000-0002-0051-8315","contributorId":199764,"corporation":false,"usgs":true,"family":"Hilderbrand","given":"Grant V.","email":"ghilderbrand@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":false,"id":724555,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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