{"pageNumber":"678","pageRowStart":"16925","pageSize":"25","recordCount":165309,"records":[{"id":70205561,"text":"70205561 - 2019 - Growth drivers of Bakken oil well productivity","interactions":[],"lastModifiedDate":"2020-05-05T16:31:34.428529","indexId":"70205561","displayToPublicDate":"2019-09-23T10:26:03","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2832,"text":"Natural Resources Research","onlineIssn":"1573-8981","printIssn":"1520-7439","active":true,"publicationSubtype":{"id":10}},"title":"Growth drivers of Bakken oil well productivity","docAbstract":"This paper identifies the drivers of the phenomenal growth in productivity in hydraulically fractured horizontal oil wells producing from the middle member of the Bakken Formation in North Dakota. The data show a strong underlying spatial component and somewhat weaker temporal component.  Drivers of the spatial component are favorable reservoir conditions.  The temporal component of well productivity growth is driven by increasing the number of fracture treatments and by increasing the volume of proppant and injection fluids used on a per fracture treatment basis. Random Forest, a non-parametric modeling procedure often applied in the context of machine learning, is used to identify the relative importance of geologic and well-completion factors that have driven the growth in Bakken well productivity. The findings of this study suggest that a significant part of the well productivity increases during the period from 2010 to 2015 have been the result of improved well-site selection. For the more recent period, that is from 2015 through 2017, part of the improved well productivity has resulted from substantial increases in the proppant and injection fluids used per stage and per well.","language":"English","publisher":"Springer","doi":"10.1007/s11053-019-09559-5","usgsCitation":"Attanasi, E., and Freeman, P., 2019, Growth drivers of Bakken oil well productivity: Natural Resources Research, v. 29, p. 1471-1486, https://doi.org/10.1007/s11053-019-09559-5.","productDescription":"16 p.","startPage":"1471","endPage":"1486","ipdsId":"IP-103552","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":459755,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11053-019-09559-5","text":"Publisher Index Page"},{"id":367691,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, North Dakota, South Dakota","otherGeospatial":"Bakken Formation","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -99.20654296875,\n              48.98742700601184\n            ],\n            [\n              -109.127197265625,\n              49.009050809382046\n            ],\n            [\n              -109.083251953125,\n              48.05605376398125\n            ],\n            [\n              -108.1494140625,\n              47.87214396888731\n            ],\n            [\n              -103.304443359375,\n              44.84029065139799\n            ],\n            [\n              -101.66748046874999,\n              44.84808025602074\n            ],\n            [\n              -100.184326171875,\n              45.236217535866025\n            ],\n            [\n              -99.283447265625,\n              46.66451741754235\n            ],\n            [\n              -99.107666015625,\n              47.61356975397398\n            ],\n            [\n              -99.20654296875,\n              48.98742700601184\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"29","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-09-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Attanasi, Emil D. 0000-0001-6845-7160 attanasi@usgs.gov","orcid":"https://orcid.org/0000-0001-6845-7160","contributorId":198728,"corporation":false,"usgs":true,"family":"Attanasi","given":"Emil D.","email":"attanasi@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":771653,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeman, Philip A. 0000-0002-0863-7431","orcid":"https://orcid.org/0000-0002-0863-7431","contributorId":206294,"corporation":false,"usgs":true,"family":"Freeman","given":"Philip A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":771654,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70205267,"text":"cir1459 - 2019 - U.S. Geological Survey sagebrush ecosystem research annual report for 2019","interactions":[],"lastModifiedDate":"2019-09-24T07:31:44","indexId":"cir1459","displayToPublicDate":"2019-09-23T08:05:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1459","displayTitle":"U.S. Geological Survey Sagebrush Ecosystem Research Annual Report for 2019","title":"U.S. Geological Survey sagebrush ecosystem research annual report for 2019","docAbstract":"<p>The sagebrush (<i>Artemisia</i> spp.) ecosystem extends across a large portion of the Western United States. Affected by multiple stressors, including interactions among fire, exotic plant invasions, and human land uses, this ecosystem has experienced significant loss, fragmentation, and degradation of landscapes once dominated by sagebrush. In turn, wildlife populations have declined following these deleterious conditions. Federal, State, local, and Tribal agencies, nongovernmental organizations, and industry have been galvanized by declining wildlife populations to implement management actions to confront the impacts of these stressors and insure the long-term availability of the sagebrush ecosystem for the broad range of uses critical to stakeholders in the Western United States.</p><p>The sagebrush ecosystem provides habitat for over 350 species of plants and animals that are dependent on sagebrush for all or part of their annual life history. The greater sage-grouse (<i>Centrocercus urophasianus</i>) stands out as the iconic species. Sage-grouse populations occur in 11 States and require relatively large expanses of sagebrush-dominated habitat to meet all their seasonal habitat needs. Recent management actions to conserve and maintain the sagebrush ecosystem have focused on the protection and restoration of sage-grouse habitat. However, each of the 350 species has a unique life history and differing area requirements (for example, large areas for Mule deer [<i>Odocoileus hemionus</i>] and small areas for pygmy rabbit [<i>Brachylagus idahoensis</i>]), and some species, such as migratory birds, only rely the sagebrush ecosystem for part of the year (for example, Brewer’s sparrow [<i>Spizella breweri</i>]).</p><p>The U.S. Geological Survey (USGS) has a broad research program focused on the sagebrush ecosystem and these species and their response to stressors and management actions. The research is tailored specifically to inform and improve strategies for maintaining existing areas of intact sagebrush and restoring degraded landscapes. By providing the science to inform these strategies, the USGS is assisting land and resource managers at the Federal, State, Tribal, and local levels working towards sustainable wildlife populations and restored landscapes.</p><p>The USGS provides a foundation of scientific information for use in major land and resource management decisions in the sagebrush ecosystem. These have included such actions as the preclusion of the need to list the greater sage-grouse under the Endangered Species Act and recent revisions to Bureau of Land Management and U.S. Department of Agriculture Forest Service resource management plans. The USGS continues to build on that foundation to inform science-based decisions within the U.S. Department of the Interior and other Federal, State, and local agencies and their continued conservation, management, and restoration of the sagebrush ecosystem to help support local economies.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1459","usgsCitation":"Hanser, S.E., ed., 2019, U.S. Geological Survey sagebrush ecosystem research annual report for 2019: U.S. Geological Survey Circular 1459, 71 p., https://doi.org/10.3133/cir1459.","productDescription":"iv, 71 p.","numberOfPages":"80","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-109721","costCenters":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":367550,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1459/cir1459.pdf","text":"Report","size":"10.6 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Wyoming","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-104.053249,41.001406],[-102.124972,41.002338],[-102.051292,40.749591],[-102.04192,37.035083],[-102.979613,36.998549],[-103.002247,36.911587],[-103.064423,32.000518],[-106.565142,32.000736],[-106.577244,31.810406],[-106.750547,31.783706],[-108.208394,31.783599],[-108.208573,31.333395],[-111.000643,31.332177],[-114.813613,32.494277],[-114.722746,32.713071],[-117.118868,32.534706],[-117.50565,33.334063],[-118.088896,33.729817],[-118.428407,33.774715],[-118.519514,34.027509],[-119.159554,34.119653],[-119.616862,34.420995],[-120.441975,34.451512],[-120.608355,34.556656],[-120.644311,35.139616],[-120.873046,35.225688],[-120.884757,35.430196],[-121.851967,36.277831],[-121.932508,36.559935],[-121.788278,36.803994],[-121.880167,36.950151],[-122.140578,36.97495],[-122.419113,37.24147],[-122.511983,37.77113],[-122.425942,37.810979],[-122.168449,37.504143],[-122.144396,37.581866],[-122.385908,37.908136],[-122.301804,38.105142],[-122.484411,38.11496],[-122.492474,37.82484],[-122.972378,38.020247],[-123.103706,38.415541],[-123.725367,38.917438],[-123.851714,39.832041],[-124.373599,40.392923],[-124.063076,41.439579],[-124.536073,42.814175],[-124.150267,43.91085],[-123.962887,45.280218],[-123.996766,46.20399],[-123.548194,46.248245],[-124.029924,46.308312],[-124.06842,46.601397],[-123.97083,46.47537],[-123.84621,46.716795],[-124.022413,46.708973],[-124.108078,46.836388],[-123.86018,46.948556],[-124.138035,46.970959],[-124.425195,47.738434],[-124.672427,47.964414],[-124.727022,48.371101],[-123.981032,48.164761],[-122.748911,48.117026],[-122.637425,47.889945],[-123.15598,47.355745],[-122.527593,47.905882],[-122.578211,47.254804],[-122.725738,47.33047],[-122.691771,47.141958],[-122.796646,47.341654],[-122.863732,47.270221],[-122.67813,47.103866],[-122.364168,47.335953],[-122.429841,47.658919],[-122.230046,47.970917],[-122.425572,48.232887],[-122.358375,48.056133],[-122.512031,48.133931],[-122.424102,48.334346],[-122.689121,48.476849],[-122.425271,48.599522],[-122.796887,48.975026],[-104.048736,48.999877],[-104.053249,41.001406]]],[[[-119.789798,34.05726],[-119.5667,34.053452],[-119.795938,33.962929],[-119.916216,34.058351],[-119.789798,34.05726]]],[[[-118.524531,32.895488],[-118.573522,32.969183],[-118.369984,32.839273],[-118.524531,32.895488]]],[[[-118.500212,33.449592],[-118.32446,33.348782],[-118.593969,33.467198],[-118.500212,33.449592]]],[[[-122.519535,48.288314],[-122.66921,48.240614],[-122.400628,48.036563],[-122.419274,47.912125],[-122.744612,48.20965],[-122.664928,48.374823],[-122.519535,48.288314]]],[[[-122.800217,48.60169],[-122.883759,48.418793],[-123.173061,48.579086],[-122.949116,48.693398],[-122.743049,48.661991],[-122.800217,48.60169]]]]},\"properties\":{\"name\":\"Arizona\",\"nation\":\"USA  \"}}]}","contact":"<p><a href=\"https://www.usgs.gov/ecosystems/sage-grouse-sagebrush-ecosystem\" data-mce-href=\"https://www.usgs.gov/ecosystems/sage-grouse-sagebrush-ecosystem\">Sage-Grouse and Sagebrush Ecosystem Program</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Mail Stop 301<br>Reston, VA 20192</p>","tableOfContents":"<ul><li>Research To Support the Management of the Sagebrush Ecosystem</li><li>Structure of the U.S. Geological Survey Sage-Grouse and Sagebrush Ecosystem Research Program</li><li>List of Projects</li><li>Project Descriptions</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2019-09-23","noUsgsAuthors":false,"publicationDate":"2019-09-23","publicationStatus":"PW","contributors":{"editors":[{"text":"Hanser, Steve E. 0000-0002-4430-2073 shanser@usgs.gov","orcid":"https://orcid.org/0000-0002-4430-2073","contributorId":152523,"corporation":false,"usgs":true,"family":"Hanser","given":"Steve","email":"shanser@usgs.gov","middleInitial":"E.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":771023,"contributorType":{"id":2,"text":"Editors"},"rank":1}]}}
,{"id":70205237,"text":"gip193 - 2019 - U.S. Geological Survey energy and wildlife research annual report for 2019 postcard","interactions":[],"lastModifiedDate":"2019-09-24T07:36:56","indexId":"gip193","displayToPublicDate":"2019-09-23T07:55:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"193","displayTitle":"U.S. Geological Survey Energy and Wildlife Research Annual Report for 2019 postcard","title":"U.S. Geological Survey energy and wildlife research annual report for 2019 postcard","docAbstract":"<p>This postcard provides details about the U.S. Geological Survey (USGS) Energy and Wildlife Research Annual Report for 2019, which highlights new research on the interactions of energy development with wildlife. Encompassing investigations of conventional and renewable energy development across the United States, from the Arctic Coastal Plain of Alaska to the balmy waters of Florida, the report features progress made by USGS scientists and partners in developing methods to minimize the impacts of energy infrastructure on wildlife. The report is available at <a href=\"https://doi.org/10.3133/cir1458\" data-mce-href=\"https://doi.org/10.3133/cir1458\">https://doi.org/10.3133/cir1458</a>.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip193","usgsCitation":"Khalil, M., 2019, U.S. Geological Survey energy and wildlife research annual report for 2019 postcard: U.S. Geological Survey General Information Product 193, 2 p., https://doi.org/10.3133/gip193.","productDescription":"Postcard: 5.8 x 4.1 inches","onlineOnly":"N","ipdsId":"IP-111521","costCenters":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":367592,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/0193/coverthb.jpg"},{"id":367593,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/0193/gip193.pdf","text":"Report ","size":"266 KB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 193"},{"id":367594,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/publication/cir1458","text":"Circular 1458","linkHelpText":"-  U.S. Geological Survey Energy and Wildlife Research Annual Report for 2019"}],"contact":"<p><a href=\"https://www.usgs.gov/ecosystems/energy-wildlife\" data-mce-href=\"https://www.usgs.gov/ecosystems/energy-wildlife\">Energy and Wildlife Program</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2019-09-23","noUsgsAuthors":false,"publicationDate":"2019-09-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Khalil, Mona 0000-0002-6046-1293 mkhalil@usgs.gov","orcid":"https://orcid.org/0000-0002-6046-1293","contributorId":174228,"corporation":false,"usgs":true,"family":"Khalil","given":"Mona","email":"mkhalil@usgs.gov","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":771481,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70215335,"text":"70215335 - 2019 - Captive-rearing duration may be more important than environmental enrichment for enhancing turtle head-starting success","interactions":[],"lastModifiedDate":"2020-10-15T19:57:44.48426","indexId":"70215335","displayToPublicDate":"2019-09-22T14:55:27","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Captive-rearing duration may be more important than environmental enrichment for enhancing turtle head-starting success","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">Raising captive animals past critical mortality stages for eventual release (head-starting) is a common conservation tactic. Counterintuitively, post-release survival can be low. Post-release behavior affecting survival could be influenced by captive-rearing duration and housing conditions. Practitioners have adopted environmental enrichment to promote natural behaviors during head-starting such as raising animals in naturalistic enclosures. Enrichment might be especially beneficial for animals held in captivity long-term to prevent degradation of adaptive behaviors. Using 32 captive-born turtles (<i>Terrapene carolina</i>), half of which were raised in enriched enclosures, we employed a factorial design to explore how enrichment and rearing duration affected post-release growth, behavior, and survival. Six turtles in each treatment (enriched or unenriched) were head-started for nine months (cohort one). Ten turtles in each treatment were head-started for 21 months (cohort two). At the conclusion of captive-rearing, turtles in cohort two were overall larger than cohort one, but unenriched turtles were generally larger than enriched turtles within each cohort. Once released, enriched turtles grew faster than unenriched turtles in cohort two, but we otherwise found minimal evidence suggesting enrichment affected post-release survival or behavior. Cohort two dispersed farther and had generally higher active season survival than cohort one (0.50 vs. 0.33). Body mass was positively associated with daily survival probability. Our findings suggest attaining larger body sizes from longer captive-rearing periods to enable greater movement and alleviate susceptibility to predation (the primary cause of death) could be more effective than environmental enrichment alone in chelonian head-starting programs where substantial predation could hinder success.</p></div></div></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2019.e00797","usgsCitation":"Tetzlaff, S., Sperry, J., Kingsbury, B., and DeGregorio, B.A., 2019, Captive-rearing duration may be more important than environmental enrichment for enhancing turtle head-starting success: Global Ecology and Conservation, v. 20, e00797, 11 p., https://doi.org/10.1016/j.gecco.2019.e00797.","productDescription":"e00797, 11 p.","ipdsId":"IP-108798","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":459756,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2019.e00797","text":"Publisher Index Page"},{"id":379435,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tetzlaff, S.J.","contributorId":243211,"corporation":false,"usgs":false,"family":"Tetzlaff","given":"S.J.","email":"","affiliations":[{"id":36403,"text":"University of Illinois","active":true,"usgs":false}],"preferred":false,"id":801757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sperry, J.S.","contributorId":243212,"corporation":false,"usgs":false,"family":"Sperry","given":"J.S.","email":"","affiliations":[{"id":36403,"text":"University of Illinois","active":true,"usgs":false}],"preferred":false,"id":801758,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kingsbury, B.A.","contributorId":243213,"corporation":false,"usgs":false,"family":"Kingsbury","given":"B.A.","email":"","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":801759,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DeGregorio, Brett Alexander 0000-0002-5273-049X","orcid":"https://orcid.org/0000-0002-5273-049X","contributorId":243214,"corporation":false,"usgs":true,"family":"DeGregorio","given":"Brett","email":"","middleInitial":"Alexander","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":801760,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70217821,"text":"70217821 - 2019 - Where’s the rock: Using convolutional neural networks to improve land cover classification","interactions":[],"lastModifiedDate":"2021-02-04T13:29:44.832983","indexId":"70217821","displayToPublicDate":"2019-09-21T08:29:29","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Where’s the rock: Using convolutional neural networks to improve land cover classification","docAbstract":"<p><span>While machine learning techniques have been increasingly applied to land cover classification problems, these techniques have not focused on separating exposed bare rock from soil covered areas. Therefore, we built a convolutional neural network (CNN) to differentiate exposed bare rock (</span><span class=\"html-italic\">rock</span><span>) from soil cover (</span><span class=\"html-italic\">other</span><span>). We made a training dataset by mapping exposed rock at eight test sites across the Sierra Nevada Mountains (California, USA) using USDA’s 0.6 m National Aerial Inventory Program (NAIP) orthoimagery. These areas were then used to train and test the CNN. The resulting machine learning approach classifies bare rock in NAIP orthoimagery with a 0.95&nbsp;</span><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; display=&quot;inline&quot;><semantics><msub><mi>F</mi><mn>1</mn></msub></semantics></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"semantics\"><span id=\"MathJax-Span-4\" class=\"msub\"><i><span id=\"MathJax-Span-5\" class=\"mi\">F</span></i><sub><span id=\"MathJax-Span-6\" class=\"mn\">1</span></sub></span></span></span></span></span></span><span>&nbsp;</span><span>score. Comparatively, the classical OBIA approach gives only a 0.84&nbsp;</span><span id=\"MathJax-Element-2-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; display=&quot;inline&quot;><semantics><msub><mi>F</mi><mn>1</mn></msub></semantics></math>\"><span id=\"MathJax-Span-7\" class=\"math\"><span><span id=\"MathJax-Span-8\" class=\"mrow\"><span id=\"MathJax-Span-9\" class=\"semantics\"><span id=\"MathJax-Span-10\" class=\"msub\"><i><span id=\"MathJax-Span-11\" class=\"mi\">F</span></i><sub><span id=\"MathJax-Span-12\" class=\"mn\">1</span></sub></span></span></span></span></span></span><span>&nbsp;</span><span>score. This is an improvement over existing land cover maps, which underestimate rock by almost 90%. The resulting CNN approach is likely scalable but dependent on high-quality imagery and high-performance algorithms using representative training sets informed by expert mapping. As image quality and quantity continue to increase globally, machine learning models that incorporate high-quality training data informed by geologic, topographic, or other topical maps may be applied to more effectively identify exposed rock in large image collections.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs11192211","usgsCitation":"Petlyak, H., Cerovski-Darriau, C., Zaliva, V., and Stock, J.D., 2019, Where’s the rock: Using convolutional neural networks to improve land cover classification: Remote Sensing, v. 11, no. 19, 2211, 20 p., https://doi.org/10.3390/rs11192211.","productDescription":"2211, 20 p.","ipdsId":"IP-107579","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":459758,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs11192211","text":"Publisher Index Page"},{"id":382944,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70209015,"text":"70209015 - 2019 - Leptospirosis in Northern Sea Otters (Enhydra lutris kenyoni) from Washington","interactions":[],"lastModifiedDate":"2020-05-04T17:48:36.96854","indexId":"70209015","displayToPublicDate":"2019-09-21T08:03:25","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Leptospirosis in Northern Sea Otters (<i>Enhydra lutris kenyoni</i>) from Washington","title":"Leptospirosis in Northern Sea Otters (Enhydra lutris kenyoni) from Washington","docAbstract":"<p>We diagnosed leptospirosis in six northern sea otters (<i>Enhydra lutris kenyoni</i>) that stranded on beaches in Washington, US in 2002. Significant gross findings included cyanotic oral mucous membranes, renal swelling, congestion or pale streaks on the cut surface of the lobules, hematuria, dehydration, lymphadenopathy, pulmonary congestion and rarely adrenal hemorrhage and congestion. Histopathology showed lymphoplasmacytic tubulointerstitial nephritis with intraluminal spirochetes and immunoreactivity to leptospiral antigens in the renal tubules and interstitium. qPCR using kidney or urine for the leptospiral lipL32 gene was positive with cycle threshold values indicative of abundant or moderate amounts of nucleic acid. A microscopic agglutination test showed the highest serum antibody titer to serovar Pomona and titers to serovars Autumnalis, Bratislava, Hebdomadis, Grippo, Ictero, Pyrogenes, Ballum, Canicola, and Hardjo. While antibodies to <i>Leptospira interrogans</i> have been previously detected in sea otters, there are no reports of disease or descriptions of pathology.</p>","language":"English","publisher":"Wildlife Disease Association ","doi":"10.7589/2019-05-112","usgsCitation":"Knowles, S., Lynch, D., and Thomas, N.J., 2019, Leptospirosis in Northern Sea Otters (Enhydra lutris kenyoni) from Washington: Journal of Wildlife Diseases, v. 56, no. 2, p. 466-471, https://doi.org/10.7589/2019-05-112.","productDescription":"6 p.","startPage":"466","endPage":"471","ipdsId":"IP-106498","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":373166,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"56","issue":"2","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Knowles, Susan 0000-0002-0254-6491 sknowles@usgs.gov","orcid":"https://orcid.org/0000-0002-0254-6491","contributorId":5254,"corporation":false,"usgs":true,"family":"Knowles","given":"Susan","email":"sknowles@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":784554,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lynch, Deanna","contributorId":202253,"corporation":false,"usgs":false,"family":"Lynch","given":"Deanna","email":"","affiliations":[],"preferred":false,"id":784555,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomas, Nancy J. 0000-0002-0161-0391 nthomas@usgs.gov","orcid":"https://orcid.org/0000-0002-0161-0391","contributorId":1673,"corporation":false,"usgs":true,"family":"Thomas","given":"Nancy","email":"nthomas@usgs.gov","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":784556,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70217590,"text":"70217590 - 2019 - Bathymetry and geomorphology of Shelikof Strait and the western Gulf of Alaska","interactions":[],"lastModifiedDate":"2021-01-25T12:55:16.88837","indexId":"70217590","displayToPublicDate":"2019-09-21T06:54:31","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1816,"text":"Geosciences","active":true,"publicationSubtype":{"id":10}},"title":"Bathymetry and geomorphology of Shelikof Strait and the western Gulf of Alaska","docAbstract":"<p><span>We defined the bathymetry of Shelikof Strait and the western Gulf of Alaska (WGOA) from the edges of the land masses down to about 7000 m deep in the Aleutian Trench. This map was produced by combining soundings from historical National Ocean Service (NOS) smooth sheets (2.7 million soundings); shallow multibeam and LIDAR (light detection and ranging) data sets from the NOS and others (subsampled to 2.6 million soundings); and deep multibeam (subsampled to 3.3 million soundings), single-beam, and underway files from fisheries research cruises (9.1 million soundings). These legacy smooth sheet data, some over a century old, were the best descriptor of much of the shallower and inshore areas, but they are superseded by the newer multibeam and LIDAR, where available. Much of the offshore area is only mapped by non-hydrographic single-beam and underway files. We combined these disparate data sets by proofing them against their source files, where possible, in an attempt to preserve seafloor features for research purposes. We also attempted to minimize bathymetric data errors so that they would not create artificial seafloor features that might impact such analyses. The main result of the bathymetry compilation is that we observe abundant features related to glaciation of the shelf of Alaska during the Last Glacial Maximum including abundant end moraines, some medial moraines, glacial lineations, eskers, iceberg ploughmarks, and two types of pockmarks. We developed an integrated onshore–offshore geomorphic map of the region that includes glacial flow directions, moraines, and iceberg ploughmarks to better define the form and flow of former ice masses.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/geosciences9100409","usgsCitation":"Zimmermann, M., Prescott, M.M., and Haeussler, P., 2019, Bathymetry and geomorphology of Shelikof Strait and the western Gulf of Alaska: Geosciences, v. 9, no. 10, 409, 31 p., https://doi.org/10.3390/geosciences9100409.","productDescription":"409, 31 p.","ipdsId":"IP-109508","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":459760,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/geosciences9100409","text":"Publisher Index Page"},{"id":382482,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -163.7841796875,\n              54.1109429427243\n            ],\n            [\n              -156.40136718749997,\n              56.31653672211301\n            ],\n            [\n              -152.05078125,\n              59.33318942659219\n            ],\n            [\n              -154.16015625,\n              59.377988012638895\n            ],\n            [\n              -159.2578125,\n              58.07787626787517\n            ],\n            [\n              -162.59765625,\n              56.728621973140726\n            ],\n            [\n              -165.05859375,\n              55.30413773740139\n            ],\n            [\n              -165.41015625,\n              54.54657953840501\n            ],\n            [\n              -164.8828125,\n              54.1109429427243\n            ],\n            [\n              -163.7841796875,\n              54.1109429427243\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","issue":"10","noUsgsAuthors":false,"publicationDate":"2019-09-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Zimmermann, Mark 0000-0002-5786-3814","orcid":"https://orcid.org/0000-0002-5786-3814","contributorId":200380,"corporation":false,"usgs":false,"family":"Zimmermann","given":"Mark","email":"","affiliations":[],"preferred":false,"id":808748,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Prescott, Megan M. 0000-0003-0368-5431","orcid":"https://orcid.org/0000-0003-0368-5431","contributorId":248283,"corporation":false,"usgs":false,"family":"Prescott","given":"Megan","email":"","middleInitial":"M.","affiliations":[{"id":49847,"text":"Lynker Technologies, Under contract to Alaska Fisheries Science Center, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":808749,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haeussler, Peter J. 0000-0002-1503-6247","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":219956,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter J.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":808750,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70205647,"text":"70205647 - 2019 - Nanoscale molecular fractionation of organic matter within unconventional petroleum source beds","interactions":[],"lastModifiedDate":"2019-10-28T10:25:16","indexId":"70205647","displayToPublicDate":"2019-09-20T11:03:51","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1513,"text":"Energy and Fuels","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Nanoscale Molecular Fractionation of Organic Matter within Unconventional Petroleum Source Beds","title":"Nanoscale molecular fractionation of organic matter within unconventional petroleum source beds","docAbstract":"Fractionation of petroleum during migration through sedimentary rock matrices has been observed across lengths of meters to kilometers. Selective adsorption of specific chemical moieties at mineral surfaces and/or the phase behavior of petroleum during pressure changes typically are invoked to explain this behavior. Such phenomena are of interest as they impact both the quality and recoverability of petroleum resources. Given the current emphasis on unconventional (continuous) resources, there is a need to understand petroleum fractionation occurring during expulsion and migration at the nanometer to micron scale, due to the fine-grained nature of petroliferous mudrocks. Here, organic matter compositional differences observed within kukersites (petroleum source beds containing acritarch Gloeocapsomorpha prisca) and the overlying carbonate reservoir layer from the Ordovician Stonewall Formation are explored using a suite of spectroscopic methods, primarily through atomic force microscopy based infrared spectroscopy (AFM-IR). AFM-IR is capable of providing spatial resolutions approaching 50 nm and allows for assessment of the molecular fingerprint of kukersite organic matter across transition zones from organic-rich ‘source’ layers into neighboring carbonate ‘reservoir’ layers ~150 μm away. Results indicate that organic matter composition begins to vary immediately following expulsion from source layers, with loss of carbonyl groups and a concomitant decrease in alkyl chain-length, as migration distance increases. These chemical transitions correlate with a decrease in fluorescence intensity, increase in solid bitumen reflectance, and increase in Raman aromaticity proxies (D-G band separation) in the organic matter. Our findings are consistent with the retention of polar compounds onto mineral grains during expulsion and migration, following primary cracking and bituminization of the Gloeocapsomorpha prisca kerogen.","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.energyfuels.9b02518","usgsCitation":"Jubb, A., Hackley, P.C., Hatcherian, J.J., Qu, J., and Nesheim, T.O., 2019, Nanoscale molecular fractionation of organic matter within unconventional petroleum source beds: Energy and Fuels, v. 33, no. 10, p. 97859-9766, https://doi.org/10.1021/acs.energyfuels.9b02518.","productDescription":"8 p.","startPage":"97859","endPage":"9766","ipdsId":"IP-109523","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":459762,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.energyfuels.9b02518","text":"Publisher Index Page"},{"id":437330,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OP7GRB","text":"USGS data release","linkHelpText":"Data from Nanoscale Molecular Fractionation of Organic Matter within Unconventional Petroleum Source Beds (2019)"},{"id":367917,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"10","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-09-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Jubb, Aaron M. 0000-0001-6875-1079","orcid":"https://orcid.org/0000-0001-6875-1079","contributorId":201978,"corporation":false,"usgs":true,"family":"Jubb","given":"Aaron M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":771965,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":771966,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hatcherian, Javin J. 0000-0001-9151-6798 jhatcherian@usgs.gov","orcid":"https://orcid.org/0000-0001-9151-6798","contributorId":195770,"corporation":false,"usgs":true,"family":"Hatcherian","given":"Javin","email":"jhatcherian@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":771967,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Qu, Jing","contributorId":219317,"corporation":false,"usgs":false,"family":"Qu","given":"Jing","email":"","affiliations":[],"preferred":false,"id":771968,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nesheim, Timothy O","contributorId":219318,"corporation":false,"usgs":false,"family":"Nesheim","given":"Timothy","email":"","middleInitial":"O","affiliations":[],"preferred":false,"id":771969,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70230360,"text":"70230360 - 2019 - Optimizing walking pace to maximize snake detection rate: A visual encounter survey experiment","interactions":[],"lastModifiedDate":"2022-04-08T11:49:10.830454","indexId":"70230360","displayToPublicDate":"2019-09-20T06:46:03","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1892,"text":"Herpetologica","active":true,"publicationSubtype":{"id":10}},"title":"Optimizing walking pace to maximize snake detection rate: A visual encounter survey experiment","docAbstract":"<div class=\"div0\"><div class=\"row ArticleContentRow\"><p id=\"ID0EF\" class=\"first\">Visual encounter survey efforts can be defined and constrained by duration, distance, or both duration and distance simultaneously. This study examines the optimal walking pace that will maximize the number of animal detections within a limited time frame. We predicted that animal sighting rate per unit of distance would decline with increasing pace, but that maximal sighting rate per unit of time would occur at some intermediate pace because walking faster means covering more ground and passing more animals that could potentially be detected. We conducted a controlled experiment during which we searched for Brown Treesnakes (<i>Boiga irregularis</i>) while walking 220-m-long transects at three different speeds. For transects inside the forest, detection rate per unit distance decreased (nonlinearly) with increasing pace. When considering catch per unit time, however, we found 5% more snakes at the medium pace compared with the slow pace, and 63% more snakes at the fast pace compared with the slow pace. The pattern appeared different for surveys along forest edges with higher vegetation density, in which snakes might be more difficult to spot. Surprisingly, pace had no detectable effect on the body sizes or perch heights of snakes successfully detected. Finding the optimal search pace for a particular study organism in a focal habitat has the potential to substantially increase survey cost-efficacy.</p></div></div>","language":"English","publisher":"BioOne","doi":"10.1655/D-18-00020","usgsCitation":"Lardner, B., Yackel Adams, A.A., Savidge, J.A., and Reed, R., 2019, Optimizing walking pace to maximize snake detection rate: A visual encounter survey experiment: Herpetologica, v. 75, no. 3, p. 218-223, https://doi.org/10.1655/D-18-00020.","productDescription":"6 p.","startPage":"218","endPage":"223","ipdsId":"IP-093439","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"links":[{"id":437331,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P984A6M8","text":"USGS data release","linkHelpText":"Brown Treesnake counts during visual encounter surveys at three walking paces, Guam 2016"},{"id":398377,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"75","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lardner, Bjorn","contributorId":225066,"corporation":false,"usgs":false,"family":"Lardner","given":"Bjorn","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":840077,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackel Adams, Amy A. 0000-0002-7044-8447 yackela@usgs.gov","orcid":"https://orcid.org/0000-0002-7044-8447","contributorId":3116,"corporation":false,"usgs":true,"family":"Yackel Adams","given":"Amy","email":"yackela@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":840078,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Savidge, Julie A.","contributorId":175196,"corporation":false,"usgs":false,"family":"Savidge","given":"Julie","email":"","middleInitial":"A.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":840079,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":840080,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70205775,"text":"70205775 - 2019 - Contaminant concentrations in sediments, aquatic invertebrates, and fish in proximity to rail tracks used for coal transport in the Pacific Northwest: A baseline assessment","interactions":[],"lastModifiedDate":"2019-10-28T10:27:08","indexId":"70205775","displayToPublicDate":"2019-09-19T14:37:09","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":887,"text":"Archives of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Contaminant concentrations in sediments, aquatic invertebrates, and fish in proximity to rail tracks used for coal transport in the Pacific Northwest: A baseline assessment","docAbstract":"Railway transport of coal poses an environmental risk because coal dust contains polycyclic aromatic hydrocarbons (PAHs), mercury (Hg), and other trace metals. In the Pacific Northwest, proposed infrastructure projects could result in an increase in coal transport by train through the Columbia River corridor. Baseline information is needed on current distributions, levels, and spatial patterns of coal dust-derived contaminants in habitats and organisms adjacent to existing coal transport lines. To that end, we collected aquatic surface sediments, aquatic insects, and juvenile fish in 2014 and 2015 from Horsethief Lake State Park and Steigerwald National Wildlife Refuge (NWR), both located close to the rail line and within the Columbia River Gorge National Scenic Area. Two subsites in each area were selected: one close to the rail line and one far from the rail line. Detected PAH concentrations were relatively low compared to those measured at more urbanized areas. Some contaminants were measured at higher concentrations at the subsites close to the rail line, but it was not possible to link the contaminants to a definitive source. Trace metal concentrations were only slightly higher than background concentrations, but a few of the more sensitive benchmarks were exceeded, including those for As, Pb, and Se in fish tissue and fluoranthene, Cd, Cu, Mn, Ni, Zn, Fe, and As in sediments. At Horsethief Lake, Chinook salmon and yellow perch showed lower total mercury body burdens than other species, but PAH body burdens did not differ significantly among species. Differences in the species caught among subsites and the low number of invertebrate samples rendered food web comparisons difficult, but these data show that the PAHs and trace metals, including mercury, are accumulating in these wetland sites and in some resident organisms.","language":"English","publisher":"Springer","publisherLocation":"New York, New York","doi":"10.1007/s00244-019-00667-0","usgsCitation":"Hapke, W.B., Black, R.W., Eagles-Smith, C.A., Smith, C., Johnson, L., Ylitalo, G.M., Boyd, D., Davis, J.W., Caldwell Eldridge, S.L., and Nilsen, E., 2019, Contaminant concentrations in sediments, aquatic invertebrates, and fish in proximity to rail tracks used for coal transport in the Pacific Northwest: A baseline assessment: Archives of Environmental Contamination and Toxicology, v. 77, no. 4, p. 549-574, https://doi.org/10.1007/s00244-019-00667-0.","productDescription":"26 p.","startPage":"549","endPage":"574","numberOfPages":"26","ipdsId":"IP-102013","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":367938,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Horsethief Lake, Steigerwald National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.31971740722656,\n              45.54831785741472\n            ],\n            [\n              -122.26289749145506,\n              45.54831785741472\n            ],\n            [\n              -122.26289749145506,\n              45.57367765830111\n            ],\n            [\n              -122.31971740722656,\n              45.57367765830111\n            ],\n            [\n              -122.31971740722656,\n              45.54831785741472\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.11868858337404,\n              45.63996763988405\n            ],\n            [\n              -121.08796119689941,\n              45.63996763988405\n            ],\n            [\n              -121.08796119689941,\n              45.656107949138445\n            ],\n            [\n              -121.11868858337404,\n              45.656107949138445\n            ],\n            [\n              -121.11868858337404,\n              45.63996763988405\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"77","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-09-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Hapke, Whitney B whapke@usgs.gov","contributorId":219455,"corporation":false,"usgs":false,"family":"Hapke","given":"Whitney","email":"whapke@usgs.gov","middleInitial":"B","affiliations":[],"preferred":false,"id":772292,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Black, Robert W. 0000-0002-4748-8213 rwblack@usgs.gov","orcid":"https://orcid.org/0000-0002-4748-8213","contributorId":1820,"corporation":false,"usgs":true,"family":"Black","given":"Robert","email":"rwblack@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":772293,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285 ceagles-smith@usgs.gov","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":505,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin","email":"ceagles-smith@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":772294,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Cassandra 0000-0003-1088-1772 cassandrasmith@usgs.gov","orcid":"https://orcid.org/0000-0003-1088-1772","contributorId":193491,"corporation":false,"usgs":true,"family":"Smith","given":"Cassandra","email":"cassandrasmith@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":772295,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Lyndal","contributorId":219456,"corporation":false,"usgs":false,"family":"Johnson","given":"Lyndal","email":"","affiliations":[{"id":39998,"text":"NMFS-NOAA","active":true,"usgs":false}],"preferred":false,"id":772296,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ylitalo, Gina M","contributorId":219457,"corporation":false,"usgs":false,"family":"Ylitalo","given":"Gina","email":"","middleInitial":"M","affiliations":[{"id":39998,"text":"NMFS-NOAA","active":true,"usgs":false}],"preferred":false,"id":772297,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Boyd, Daryle","contributorId":219458,"corporation":false,"usgs":false,"family":"Boyd","given":"Daryle","email":"","affiliations":[{"id":39998,"text":"NMFS-NOAA","active":true,"usgs":false}],"preferred":false,"id":772298,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Davis, Jay W.","contributorId":219459,"corporation":false,"usgs":false,"family":"Davis","given":"Jay","email":"","middleInitial":"W.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":772299,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Caldwell Eldridge, Sara L. 0000-0001-8838-8940 seldridge@usgs.gov","orcid":"https://orcid.org/0000-0001-8838-8940","contributorId":4981,"corporation":false,"usgs":true,"family":"Caldwell Eldridge","given":"Sara","email":"seldridge@usgs.gov","middleInitial":"L.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":772300,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nilsen, Elena 0000-0002-0104-6321 enilsen@usgs.gov","orcid":"https://orcid.org/0000-0002-0104-6321","contributorId":219454,"corporation":false,"usgs":true,"family":"Nilsen","given":"Elena","email":"enilsen@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":772291,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70216344,"text":"70216344 - 2019 - Middle Pleistocene formation of the Rio Grande Gorge, San Luis Valley, south-central Colorado and north-central New Mexico, USA: Process, timing, and downstream implications","interactions":[],"lastModifiedDate":"2020-11-12T18:56:03.447601","indexId":"70216344","displayToPublicDate":"2019-09-19T12:49:57","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Middle Pleistocene formation of the Rio Grande Gorge, San Luis Valley, south-central Colorado and north-central New Mexico, USA: Process, timing, and downstream implications","docAbstract":"<p><span>The Rio Grande is the fourth longest river in North America extending over 3,000 km from the Rocky Mountains to the Gulf of Mexico. The Pleistocene evolution of this river from individual subbasins into a coalesced fluvial system has been long debated. Herein, we constrain the middle Pleistocene evolution of the northernmost and largest Rio Grande basin, the San Luis basin, and the timing of incision of the Rio Grande Gorge, based on new geologic mapping,&nbsp;</span><sup>3</sup><span>He surface exposure dating, and U-series dating on pedogenic carbonates.&nbsp;</span><sup>3</sup><span>He dating of shoreline deposits of closed basin Lake Alamosa and fluvially scoured bedrock along the Rio Grande gorge rim indicate the San Luis basin was connected with southerly Rio Grande basins and progressively incised since ∼400 ka. Waning tectonic activity, coupled with the hydrologic response to intensified middle Pleistocene glaciation, drove southward spillover of Lake Alamosa ∼400 ka, expanding the river's drainage basin by nearly 24,000 km</span><sup>2</sup><span>, and adding recharge areas in the high-altitude, glaciated San Juan, Tusas, and Sangre de Cristo Mountains. Geologic barriers to streamflow on the Taos Plateau were breached and basin tributary drainages were integrated and inset into their present canyons ∼250-200 ka, with approximately 120 m of incision during ∼400-200 ka. Previous work demonstrates that southerly streamflow through basins south of the SLB terminated into a large, rift-related bolson complex until the middle Pleistocene, and most axial Rio Grande river incision has occurred since 630 ka. We propose that middle Pleistocene integration of the SLB was the major geomorphic event that eroded Plio-Pleistocene tectonic and volcanic barriers and re-established flow of the Rio Grande from the Rocky Mountains to the Gulf of Mexico.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2019.07.028","collaboration":"Tulane University, Oregon State University (Corvallis)","usgsCitation":"Ruleman, C.A., Hudson, A.M., Thompson, R., Miggins, D.P., Paces, J.B., and Goehring, B.M., 2019, Middle Pleistocene formation of the Rio Grande Gorge, San Luis Valley, south-central Colorado and north-central New Mexico, USA: Process, timing, and downstream implications: Quaternary Science Reviews, v. 223, 105946, 30 p., https://doi.org/10.1016/j.quascirev.2019.07.028.","productDescription":"105946, 30 p.","ipdsId":"IP-104916","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":459766,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quascirev.2019.07.028","text":"Publisher Index Page"},{"id":437332,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9966N16","text":"USGS data release","linkHelpText":"Data release for Middle Pleistocene formation of the Rio Grande Gorge, San Luis Valley, south-central Colorado and north-central New Mexico, USA: Process, timing, and downstream implications"},{"id":380469,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, New Mexico","otherGeospatial":"Rio Grande Gorge, San Luis Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -108.1494140625,\n              31.85889704445453\n            ],\n            [\n              -104.34814453125,\n              31.85889704445453\n            ],\n            [\n              -104.34814453125,\n              38.048091067457236\n            ],\n            [\n              -108.1494140625,\n              38.048091067457236\n            ],\n            [\n              -108.1494140625,\n              31.85889704445453\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"223","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ruleman, Chester A. 0000-0002-1503-4591 cruleman@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-4591","contributorId":1264,"corporation":false,"usgs":true,"family":"Ruleman","given":"Chester","email":"cruleman@usgs.gov","middleInitial":"A.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":804766,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hudson, Adam M. 0000-0002-3387-9838 ahudson@usgs.gov","orcid":"https://orcid.org/0000-0002-3387-9838","contributorId":195419,"corporation":false,"usgs":true,"family":"Hudson","given":"Adam","email":"ahudson@usgs.gov","middleInitial":"M.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":804767,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Ren A. 0000-0002-3044-3043","orcid":"https://orcid.org/0000-0002-3044-3043","contributorId":207982,"corporation":false,"usgs":true,"family":"Thompson","given":"Ren A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":804768,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miggins, Daniel P.","contributorId":199027,"corporation":false,"usgs":false,"family":"Miggins","given":"Daniel","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":804769,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Paces, James B. 0000-0002-9809-8493","orcid":"https://orcid.org/0000-0002-9809-8493","contributorId":215864,"corporation":false,"usgs":true,"family":"Paces","given":"James","email":"","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":804770,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Goehring, Brent M. 0000-0001-6405-5156","orcid":"https://orcid.org/0000-0001-6405-5156","contributorId":203321,"corporation":false,"usgs":false,"family":"Goehring","given":"Brent","email":"","middleInitial":"M.","affiliations":[{"id":36600,"text":"Department of Earth and Environmental Sciences, Tulane University, New Orleans, LA","active":true,"usgs":false}],"preferred":false,"id":804771,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70215917,"text":"70215917 - 2019 - Aquatic–terrestrial linkages provide novel opportunities for freshwater ecologists to engage stakeholders and inform riparian management","interactions":[],"lastModifiedDate":"2020-11-02T13:13:48.19765","indexId":"70215917","displayToPublicDate":"2019-09-19T07:11:41","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Aquatic–terrestrial linkages provide novel opportunities for freshwater ecologists to engage stakeholders and inform riparian management","docAbstract":"<div class=\"hlFld-Abstract\"><div class=\"abstractSection abstractInFull\"><p>Studies of aquatic–terrestrial ecosystem linkages explore the mechanisms by which components of one ecosystem, such as the aquatic insect community in a stream, directly affect components of an adjacent ecosystem, such as the density and diversity of riparian predators. On a human level, research into these linkages allows freshwater ecologists to form novel collaborations with stakeholders and other interest groups by emphasizing shared interests. To highlight this point, we use 3 case studies as examples of how aquatic–terrestrial linkages research can be leveraged to achieve multifaceted goals of improving riparian and freshwater management, engaging stakeholders, and advancing ecological understanding. In the 1<sup>st</sup><span>&nbsp;</span>case study, we describe a project in which consideration of the complex life histories of aquatic insects could have led to more effective outcomes for riparian bird restoration. The 2<sup>nd</sup><span>&nbsp;</span>case study provides an example of how studying contaminant transport through ecological subsidies has been incorporated into programs for contaminant management. In the 3<sup>rd</sup><span>&nbsp;</span>case, we use a study of terrestrial vertebrates feeding on adult aquatic insects to show how research into aquatic–terrestrial subsidies connects freshwater ecologists, youth groups, and commercial river guides. By focusing on how in-stream processes propagate onto land through ecological subsidies, we argue that freshwater ecologists also gain a platform for communicating their science to riparian managers and the public, which can improve the potential for stream and riparian co-management and restoration success.</p></div></div>","language":"English","publisher":"University of Chicago Press","doi":"10.1086/706104","usgsCitation":"Muehlbauer, J., Lupoli, C.A., and Kraus, J.M., 2019, Aquatic–terrestrial linkages provide novel opportunities for freshwater ecologists to engage stakeholders and inform riparian management: Freshwater Science, v. 38, no. 4, p. 946-952, https://doi.org/10.1086/706104.","productDescription":"6 p.","startPage":"946","endPage":"952","ipdsId":"IP-102590","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":380010,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Muehlbauer, Jeffrey 0000-0003-1808-580X","orcid":"https://orcid.org/0000-0003-1808-580X","contributorId":221739,"corporation":false,"usgs":true,"family":"Muehlbauer","given":"Jeffrey","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":803619,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lupoli, Christina A.","contributorId":244272,"corporation":false,"usgs":false,"family":"Lupoli","given":"Christina","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":803646,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kraus, Johanna M. 0000-0002-9513-4129 jkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-9513-4129","contributorId":4834,"corporation":false,"usgs":true,"family":"Kraus","given":"Johanna","email":"jkraus@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":803621,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70206396,"text":"70206396 - 2019 - Evaluating the potential for sea lice to evolve freshwater tolerance as a consequence of freshwater treatments in salmon aquaculture","interactions":[],"lastModifiedDate":"2019-11-04T10:31:22","indexId":"70206396","displayToPublicDate":"2019-09-19T06:56:38","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5806,"text":"Aquaculture Environment Interactions","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the potential for sea lice to evolve freshwater tolerance as a consequence of freshwater treatments in salmon aquaculture","docAbstract":"Increasing usage of non-medicinal methods (NMMs) to control sea louse infestations on salmon farms has raised questions about whether sea lice may be able to evolve tolerance of NMMs. Of particular concern is the potential for sea lice to evolve freshwater tolerance as a result of freshwater treatments. Wild trout and some juvenile salmonids swim into freshwater to control infestations and regain ionic balance after disruption by sea lice; freshwater tolerance would compromise this potentially adaptive behavior. Here we evaluated the potential for freshwater tolerance to evolve in the sea louse Lepeophtheirus salmonis. When exposed to low-salinity water, parasitic stages of sea lice are able to osmoregulate through the host, while larval planktonic stages are not. Transcriptomic work suggests that sea lice mount a costly polygenic stress response when exposed to brackish water. The population structure of sea lice is panmictic in both the Pacific and Atlantic, making it conducive to rapid evolutionary responses. It is unknown how much heritable genetic variation these panmictic populations have for freshwater treatments. While usage of freshwater treatments on wellboats is increasing, it is unclear whether the freshwater itself is a strong selective force; during the freshwater exposure, sea lice can die from physical disruption during pumping and filtration on the wellboat. Future studies are advised to quantify the heritable variation in freshwater tolerance in sea louse populations, characterize mechanisms for freshwater tolerance in planktonic and attached sea lice, and assess the risk of freshwater tolerance evolution under different management strategies.","language":"English","publisher":"Inter-Research","doi":"10.3354/aei00324","usgsCitation":"Groner, M., Laurin, E., Stormoen, M., Sanchez, J., Fast, M.D., and Revie, C.W., 2019, Evaluating the potential for sea lice to evolve freshwater tolerance as a consequence of freshwater treatments in salmon aquaculture: Aquaculture Environment Interactions, v. 11, p. 507-519, https://doi.org/10.3354/aei00324.","productDescription":"13 p.","startPage":"507","endPage":"519","ipdsId":"IP-105621","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":459769,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/aei00324","text":"Publisher Index Page"},{"id":368861,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Groner, Maya 0000-0002-3381-6415","orcid":"https://orcid.org/0000-0002-3381-6415","contributorId":220169,"corporation":false,"usgs":true,"family":"Groner","given":"Maya","email":"","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":774389,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Laurin, Emilie","contributorId":220170,"corporation":false,"usgs":false,"family":"Laurin","given":"Emilie","email":"","affiliations":[{"id":40138,"text":"Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown, Prince Edward Island, Canada","active":true,"usgs":false}],"preferred":false,"id":774390,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stormoen, Marit","contributorId":220171,"corporation":false,"usgs":false,"family":"Stormoen","given":"Marit","email":"","affiliations":[{"id":40139,"text":"NMBU School of Veterinary Science, Oslo, Norway","active":true,"usgs":false}],"preferred":false,"id":774391,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sanchez, Javier","contributorId":220172,"corporation":false,"usgs":false,"family":"Sanchez","given":"Javier","email":"","affiliations":[{"id":40138,"text":"Department of Health Management, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown, Prince Edward Island, Canada","active":true,"usgs":false}],"preferred":false,"id":774392,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fast, Mark D","contributorId":220173,"corporation":false,"usgs":false,"family":"Fast","given":"Mark","email":"","middleInitial":"D","affiliations":[{"id":40140,"text":"Department of Pathology and Microbiology, Atlantic Veterinary College, University of Prince Edward Island, Charlottetown, Prince Edward Island, Canada","active":true,"usgs":false}],"preferred":false,"id":774394,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Revie, Crawford W.","contributorId":213965,"corporation":false,"usgs":false,"family":"Revie","given":"Crawford","email":"","middleInitial":"W.","affiliations":[{"id":38940,"text":"Department of Health Management, University of Prince Edward Island, Charlottetown, PE, Canada, C1A 4P3","active":true,"usgs":false}],"preferred":false,"id":774393,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70226697,"text":"70226697 - 2019 - Reducing greenhouse gas emissions of Amazon hydropower with strategic dam planning","interactions":[],"lastModifiedDate":"2021-12-06T12:09:22.761378","indexId":"70226697","displayToPublicDate":"2019-09-19T06:00:29","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Reducing greenhouse gas emissions of Amazon hydropower with strategic dam planning","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Hundreds of dams have been proposed throughout the Amazon basin, one of the world’s largest untapped hydropower frontiers. While hydropower is a potentially clean source of renewable energy, some projects produce high greenhouse gas (GHG) emissions per unit electricity generated (carbon intensity). Here we show how carbon intensities of proposed Amazon upland dams (median = 39 kg CO<sub>2</sub>eq MWh<sup>−1</sup>, 100-year horizon) are often comparable with solar and wind energy, whereas some lowland dams (median = 133 kg CO<sub>2</sub>eq MWh<sup>−1</sup>) may exceed carbon intensities of fossil-fuel power plants. Based on 158 existing and 351 proposed dams, we present a multi-objective optimization framework showing that low-carbon expansion of Amazon hydropower relies on strategic planning, which is generally linked to placing dams in higher elevations and smaller streams. Ultimately, basin-scale dam planning that considers GHG emissions along with social and ecological externalities will be decisive for sustainable energy development where new hydropower is contemplated.</p></div></div><div id=\"Sec1-section\" class=\"c-article-section\"><br></div>","language":"English","publisher":"Nature","doi":"10.1038/s41467-019-12179-5","usgsCitation":"Almeida, R.M., Shi, Q., Gomes-Selman, J.M., Wu, X., Xue, Y., Angarita, H., Barros, N., Forsberg, B.R., García-Villacorta, R., Hamilton, S., Melack, J., Montoya, M., Perez, G., Sethi, S., Gomes, C.P., and Flecker, A.S., 2019, Reducing greenhouse gas emissions of Amazon hydropower with strategic dam planning: Nature Communications, v. 10, 4281, 9 p., https://doi.org/10.1038/s41467-019-12179-5.","productDescription":"4281, 9 p.","ipdsId":"IP-106271","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":459772,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-019-12179-5","text":"Publisher Index Page"},{"id":392494,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Bolivia, Brazil, Columbia, Ecuador, Peru","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -51.240234375,\n              3.2502085616531686\n            ],\n            [\n              -51.416015625,\n              4.477856485570586\n            ],\n            [\n              -52.734375,\n              2.5479878714713835\n            ],\n            [\n              -54.140625,\n              2.1088986592431382\n            ],\n            [\n              -55.54687499999999,\n              2.28455066023697\n            ],\n            [\n              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   -5.353521355337321\n            ],\n            [\n              -50.009765625,\n              -0.5273363048115043\n            ],\n            [\n              -51.240234375,\n              3.2502085616531686\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","noUsgsAuthors":false,"publicationDate":"2019-09-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Almeida, Rafael M.","contributorId":269683,"corporation":false,"usgs":false,"family":"Almeida","given":"Rafael","email":"","middleInitial":"M.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":827738,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shi, Qinru","contributorId":269685,"corporation":false,"usgs":false,"family":"Shi","given":"Qinru","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":827739,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gomes-Selman, Jonathan M.","contributorId":269686,"corporation":false,"usgs":false,"family":"Gomes-Selman","given":"Jonathan","email":"","middleInitial":"M.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":827740,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wu, Xiaojian","contributorId":200459,"corporation":false,"usgs":false,"family":"Wu","given":"Xiaojian","email":"","affiliations":[],"preferred":false,"id":827749,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Xue, Yexiang","contributorId":200458,"corporation":false,"usgs":false,"family":"Xue","given":"Yexiang","email":"","affiliations":[],"preferred":false,"id":827750,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Angarita, Hector","contributorId":269698,"corporation":false,"usgs":false,"family":"Angarita","given":"Hector","email":"","affiliations":[],"preferred":false,"id":827751,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barros, Nathan","contributorId":269688,"corporation":false,"usgs":false,"family":"Barros","given":"Nathan","email":"","affiliations":[{"id":56024,"text":"Federal University of Juiz de Fora","active":true,"usgs":false}],"preferred":false,"id":827741,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Forsberg, Bruce R.","contributorId":269690,"corporation":false,"usgs":false,"family":"Forsberg","given":"Bruce","email":"","middleInitial":"R.","affiliations":[{"id":28218,"text":"National Institute of Amazonian Research","active":true,"usgs":false}],"preferred":false,"id":827742,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"García-Villacorta, Roosevelt","contributorId":269692,"corporation":false,"usgs":false,"family":"García-Villacorta","given":"Roosevelt","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":827743,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hamilton, Stephen K.","contributorId":269693,"corporation":false,"usgs":false,"family":"Hamilton","given":"Stephen K.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":827744,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Melack, John M.","contributorId":269694,"corporation":false,"usgs":false,"family":"Melack","given":"John M.","affiliations":[{"id":39457,"text":"University of California at Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":827745,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Montoya, Mariana","contributorId":269699,"corporation":false,"usgs":false,"family":"Montoya","given":"Mariana","email":"","affiliations":[],"preferred":false,"id":827752,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Perez, Guillaume","contributorId":269695,"corporation":false,"usgs":false,"family":"Perez","given":"Guillaume","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":827746,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sethi, Suresh 0000-0002-0053-1827 ssethi@usgs.gov","orcid":"https://orcid.org/0000-0002-0053-1827","contributorId":191424,"corporation":false,"usgs":true,"family":"Sethi","given":"Suresh","email":"ssethi@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":827737,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Gomes, Carla P.","contributorId":269696,"corporation":false,"usgs":false,"family":"Gomes","given":"Carla","email":"","middleInitial":"P.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":827747,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Flecker, Alexander S.","contributorId":269697,"corporation":false,"usgs":false,"family":"Flecker","given":"Alexander","email":"","middleInitial":"S.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":827748,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70206648,"text":"70206648 - 2019 - Local scale spatial patterns of freshwater mussels in the Upper Mississippi River","interactions":[],"lastModifiedDate":"2019-11-15T14:53:22","indexId":"70206648","displayToPublicDate":"2019-09-18T14:47:50","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Local scale spatial patterns of freshwater mussels in the Upper Mississippi River","docAbstract":"Multiple physical and biological factors contribute to the structure of freshwater mussel communities in large rivers. Mussel distributions are frequently described as clumped or patchy. However, few surveys of mussel populations have been designed to quantify these spatial patterns. We used indicators of spatial autocorrelation to quantify spatial patterns of adult and juvenile (≤ 5 years of age) freshwater mussels at local scales (i.e., < 300 m), within 14 sites along ~700 km of the Upper Mississippi River, USA. Juveniles were patchily distributed in 43% of the sites, and adults were patchily distributed in 50%. Within sites, juveniles and adults displayed the same spatial pattern in 64% of the sites. At half of the sites, hotspots of adults and juveniles overlapped suggesting spatial and temporal persistence of habitat. Mussels have an important ecological role in rivers, and information on their spatial patterns aid our understanding of the spatial structure and function of riverine ecosystems, and the ecological consequences of population declines.","language":"English","publisher":"University of Chicago Press","doi":"10.1086/705917","usgsCitation":"Ries, P., De Jager, N.R., Newton, T., and Zigler, S.J., 2019, Local scale spatial patterns of freshwater mussels in the Upper Mississippi River: Freshwater Science, v. 38, no. 4, p. 742-752, https://doi.org/10.1086/705917.","productDescription":"11 p.","startPage":"742","endPage":"752","ipdsId":"IP-101138","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":369252,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa, Minneapolis, Wisconsin","otherGeospatial":"Upper Mississippi 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ndejager@usgs.gov","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":3717,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"ndejager@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":775303,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Newton, Teresa 0000-0001-9351-5852 tnewton@usgs.gov","orcid":"https://orcid.org/0000-0001-9351-5852","contributorId":150098,"corporation":false,"usgs":true,"family":"Newton","given":"Teresa","email":"tnewton@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":775301,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zigler, Steven J. 0000-0002-4153-0652 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,{"id":70205462,"text":"70205462 - 2019 - Yellowstone grizzly bear investigations: Annual report of the Interagency Grizzly Bear Study Team 2018","interactions":[],"lastModifiedDate":"2022-09-13T15:44:29.897347","indexId":"70205462","displayToPublicDate":"2019-09-18T13:48:26","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":3,"text":"Annual Report","active":false,"publicationSubtype":{"id":1}},"title":"Yellowstone grizzly bear investigations: Annual report of the Interagency Grizzly Bear Study Team 2018","docAbstract":"<p>This annual report summarizes the results of grizzly bear (<i>Ursus arctos</i>) research and monitoring conducted in the Greater Yellowstone Ecosystem (GYE) by the Interagency Grizzly Bear Study Team (IGBST) during 2018. The research and monitoring program is focused on population estimation and demographics, food monitoring, and habitat monitoring. The report also contains a summary of grizzly bear management actions to address conflict situations and agency outreach efforts. This report is a summary of annual data collections. Data analyses, and summaries presented in this report supersede those published previously and may be subject to change contingent on additional information, future manuscript publications, and the peer review process.</p>","language":"English","publisher":"Interagency Grizzly Bear Study Team","usgsCitation":"2019, Yellowstone grizzly bear investigations: Annual report of the Interagency Grizzly Bear Study Team 2018: Annual Report, 132 p.","productDescription":"132 p.","ipdsId":"IP-111153","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":368834,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368833,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.sciencebase.gov/catalog/file/get/6266a697d34e76103cce5808?f=__disk__33%2F51%2F81%2F335181a43804c860f87b6c8758af38481325e83a","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Greater Yellowstone Ecosystem","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.620849609375,\n              42.99661231842139\n            ],\n            [\n              -108.80859375,\n              42.99661231842139\n            ],\n            [\n              -108.80859375,\n              45.537136680398596\n            ],\n            [\n              -112.620849609375,\n              45.537136680398596\n            ],\n            [\n              -112.620849609375,\n              42.99661231842139\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"van Manen, Frank T. 0000-0001-5340-8489 fvanmanen@usgs.gov","orcid":"https://orcid.org/0000-0001-5340-8489","contributorId":2267,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank","email":"fvanmanen@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":851543,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Haroldson, Mark A. 0000-0002-7457-7676 mharoldson@usgs.gov","orcid":"https://orcid.org/0000-0002-7457-7676","contributorId":1773,"corporation":false,"usgs":true,"family":"Haroldson","given":"Mark","email":"mharoldson@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":851544,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Karabensh, Bryn 0000-0002-2052-5256","orcid":"https://orcid.org/0000-0002-2052-5256","contributorId":219113,"corporation":false,"usgs":true,"family":"Karabensh","given":"Bryn","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":851545,"contributorType":{"id":2,"text":"Editors"},"rank":3}]}}
,{"id":70205526,"text":"70205526 - 2019 - Physicochemical controls on zones of higher coral stress where Black Band Disease occurs at Mākua Reef, Kauaʻi, Hawaiʻi","interactions":[],"lastModifiedDate":"2019-09-24T08:18:50","indexId":"70205526","displayToPublicDate":"2019-09-18T13:20:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Physicochemical controls on zones of higher coral stress where Black Band Disease occurs at Mākua Reef, Kauaʻi, Hawaiʻi","docAbstract":"Pervasive and sustained coral diseases contribute to the systemic degradation of reef ecosystems, however, to date an understanding of the physicochemical controls on a coral disease event is still largely lacking. Water circulation and residence times and submarine groundwater discharge all determine the degree to which reef organisms are exposed to the variable chemistry of overlying waters; understanding these physical controls is thus necessary to interpret spatial patterns in coral health. The recent discovery of coral Black Band Disease at Mākua Reef on Kauaʻi, Hawaiʻi prompted an investigation into the physicochemical drivers and geomorphic controls of reef water circulation, and the temporally variable nutrient fluxes derived from submarine groundwater discharge. Results reveal localized stagnant water parcels at Mākua Reef where groundwater-derived high nutrient loading and low salinities act in concert as stressors to coralline health – and where Black Band Disease was uniquely identified. The observed high nutrient levels during low tide conditions are likely associated with nearby upstream cesspools and drain fields. Information obtained using such a multidisciplinary approach has direct value for successful management of coastal aquifers and the health and sustainability of adjacent nearshore coral reef ecosystems.","language":"English","publisher":"Frontiers in Marine Science","doi":"10.3389/fmars.2019.00552","usgsCitation":"Oberle, F., Storlazzi, C.D., Cheriton, O.M., Takesue, R.K., Hoover, D.J., Logan, J.B., Runyon, C.M., Kellogg, C.A., Johnson, C., and Swarzenski, P.W., 2019, Physicochemical controls on zones of higher coral stress where Black Band Disease occurs at Mākua Reef, Kauaʻi, Hawaiʻi: Frontiers in Marine Science, v. 6, Article 552, 16 p., https://doi.org/10.3389/fmars.2019.00552.","productDescription":"Article 552, 16 p.","numberOfPages":"16","onlineOnly":"Y","ipdsId":"IP-108992","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":459776,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2019.00552","text":"Publisher Index Page"},{"id":437334,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9M2B3WB","text":"USGS data release","linkHelpText":"Observations of coral reef oceanographic and groundwater properties off Makua, Kauai, HI, USA, August 2016"},{"id":367636,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Mākua Reef on Kauaʻi","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -159.61898803710938,\n              22.20202767375278\n            ],\n            [\n              -159.4603729248047,\n              22.20202767375278\n            ],\n            [\n             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cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":140584,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","email":"cstorlazzi@usgs.gov","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":771507,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cheriton, Olivia M. 0000-0003-3011-9136","orcid":"https://orcid.org/0000-0003-3011-9136","contributorId":204459,"corporation":false,"usgs":true,"family":"Cheriton","given":"Olivia","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":771508,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Takesue, Renee K. 0000-0003-1205-0825 rtakesue@usgs.gov","orcid":"https://orcid.org/0000-0003-1205-0825","contributorId":2159,"corporation":false,"usgs":true,"family":"Takesue","given":"Renee","email":"rtakesue@usgs.gov","middleInitial":"K.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":771509,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hoover, Daniel J. 0000-0002-2927-6196 dhoover@usgs.gov","orcid":"https://orcid.org/0000-0002-2927-6196","contributorId":4671,"corporation":false,"usgs":true,"family":"Hoover","given":"Daniel","email":"dhoover@usgs.gov","middleInitial":"J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":771510,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Logan, Joshua B. 0000-0002-6191-4119 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,{"id":70201712,"text":"sim3425 - 2019 - Geologic cross section A–A′ through the Appalachian basin from the southern margin of the Ontario Lowlands province, Genesee County, western New York, to the Valley and Ridge province, Lycoming County, north-central Pennsylvania","interactions":[],"lastModifiedDate":"2025-07-21T18:09:09.023806","indexId":"sim3425","displayToPublicDate":"2019-09-18T12:00:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3425","displayTitle":"Geologic Cross Section <i>A–A′</i> Through the Appalachian Basin from the Southern Margin of the Ontario Lowlands Province, Genesee County, Western New York, to the Valley and Ridge Province, Lycoming County, North-Central Pennsylvania","title":"Geologic cross section A–A′ through the Appalachian basin from the southern margin of the Ontario Lowlands province, Genesee County, western New York, to the Valley and Ridge province, Lycoming County, north-central Pennsylvania","docAbstract":"<h1>Introduction</h1><p>Geologic cross section&nbsp;<i>A–A′</i>&nbsp; is the fifth in a series of cross sections constructed by the U.S. Geological Survey (USGS) to document and improve understand­ing of the geologic framework and petroleum systems of the Appalachian basin. Cross section <i>A–A′&nbsp;</i>provides a regional view of the structural and stratigraphic frame­work of the Appalachian basin from the southern mar­gin of the Ontario Lowlands province in western New York, across the Allegheny Plateau province of central New York and north-central Pennsylvania, to the Valley and Ridge province in north-central Pennsylvania, a dis­tance of approximately 176 miles. This cross section is a companion to cross sections <i>E–E′, D–D′, C–C′</i>, and <i>I–I′</i>&nbsp; that are located approximately 100 to 500 miles to the southwest. Cross section <i>A–A′&nbsp;</i>complements earlier geologic or strati­graphic cross sections through the central New York and north-central Pennsylvania part of the Appalachian basin. Although some of these other cross sections show more structural and stratigraphic detail, they are of more limited extent geographically and stratigraphically.</p><p>Cross section <i>A–A′</i> contains much information that is useful for evaluating energy resources in the Appalachian basin. Although the Appalachian basin petroleum systems are not shown on the cross section, many of their key elements (such as source rocks, reservoir rocks, seals, and traps) can be inferred from lithologic units, unconformities, and geologic structures shown on the cross section. Important oil- and gas-bearing formations like the Oriskany Sandstone, Medina Group sandstones, Tuscarora Sandstone, and the Marcellus and Utica Shales are present on cross-section <i>A–A′</i>.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3425","usgsCitation":"Trippi, M.H., Ryder, R.T., and Enomoto, C.B., 2019, Geologic cross section <i>A–A′</i> through the Appalachian basin from the southern margin of the Ontario Lowlands province, Genesee County, western New York, to the Valley and Ridge province, Lycoming County, north-central Pennsylvania: U.S. Geological Survey Scientific Investigations Map 3425, 2 sheets, 74-p. pamphlet, https://doi.org/10.3133/sim3425.","productDescription":"Report: iii, 74 p.; 2 Sheets: 35.25 x 41.00 inches and 44.25 x 41.00 inches","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-069102","costCenters":[{"id":241,"text":"Eastern Energy Resources Science 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York\",\"nation\":\"USA  \"}}]}","contact":"<p><a href=\"http://energy.usgs.gov/GeneralInfo/ScienceCenters/Eastern.aspx\" data-mce-href=\"http://energy.usgs.gov/GeneralInfo/ScienceCenters/Eastern.aspx\">Eastern Energy Resources Science Center</a><br>U.S. Geological Survey<br>954 National Center<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p>","tableOfContents":"<ul><li>Introduction</li><li>Construction of the Cross Section</li><li>Structural Framework</li><li>Stratigraphic Framework</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1. Table Summarizing Stratigraphic Units and Depths of Stratigraphic Units for Drill Holes 1–10 in Cross Section<em> A–A′</em></li><li>Appendix 2. Scale, Units, and Depths for Gamma-Ray Logging Runs</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2019-04-09","noUsgsAuthors":false,"publicationDate":"2019-04-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Trippi, Michael H. 0000-0002-1398-3427","orcid":"https://orcid.org/0000-0002-1398-3427","contributorId":211800,"corporation":false,"usgs":true,"family":"Trippi","given":"Michael","email":"","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":754946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ryder, Robert T. rryder@usgs.gov","contributorId":211801,"corporation":false,"usgs":false,"family":"Ryder","given":"Robert","email":"rryder@usgs.gov","middleInitial":"T.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":false,"id":754947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Enomoto, Catherine B. 0000-0002-4119-1953","orcid":"https://orcid.org/0000-0002-4119-1953","contributorId":211802,"corporation":false,"usgs":true,"family":"Enomoto","given":"Catherine B.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":754948,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204845,"text":"fs20193046 - 2019 - Water priorities for the nation—The U.S. Geological Survey next generation water observing system","interactions":[],"lastModifiedDate":"2019-09-18T07:30:01","indexId":"fs20193046","displayToPublicDate":"2019-09-18T08:45:00","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-3046","displayTitle":"Water Priorities for the Nation—The U.S. Geological Survey Next Generation Water Observing System","title":"Water priorities for the nation—The U.S. Geological Survey next generation water observing system","docAbstract":"<p>The challenges of providing safe and sustainable water supplies for human and ecological uses and protecting lives and property during water emergencies are well recognized. The U.S. Geological Survey (USGS) plays an essential role in meeting these challenges through its observational networks and renowned water science and research activities (National Academies of Science, Engineering, and Medicine, 2018). Substantial advances in water science, together with emerging breakthroughs in technical and computational capabilities, have led the USGS to develop a <strong>Next Generation Water Observing System (NGWOS)</strong>. The NGWOS will provide real-time data on water quantity and quality in more affordable and rapid ways than previously possible, and in more locations. The data will be served through a modernized USGS National Water Information System that will be coupled to advanced modeling tools to inform daily water operations, decision-making during water emergencies (like floods, droughts, and contaminant spills), assessments of past trends in water quantity and quality, and forecasts of future water availability.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193046","usgsCitation":"Eberts, S.M., Wagner, C.R., and Woodside, M.D., 2019, Water priorities for the Nation—The U.S. Geological Survey Next Generation Water Observing System: U.S. Geological Survey Fact Sheet 2019–3046, 2 p., https://doi.org/10.3133/fs20193046.","productDescription":"2 p.","onlineOnly":"Y","ipdsId":"IP-109916","costCenters":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"links":[{"id":366749,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3046/coverthb.jpg"},{"id":367487,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3046/fs20193046.pdf","text":"Report","size":"2.01 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Fact Sheet 2019-3046"}],"contact":"<p>U.S. Geological Survey<br>Water Resources Mission Area<br><a href=\"https://www.usgs.gov/water-resources/groundwater-and-streamflow-information\" data-mce-href=\"https://www.usgs.gov/water-resources/groundwater-and-streamflow-information\">Groundwater and Streamflow Information Program</a><br>3916 Sunset Ridge Road<br>Raleigh, North Carolina 26707</p>","tableOfContents":"<ul><li>NGWOS Design Strategy</li><li>Emerging and Innovative Technologies</li><li>Delaware River Basin Pilot</li><li>Reference Cited</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2019-08-21","noUsgsAuthors":false,"publicationDate":"2019-08-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Eberts, Sandra M. 0000-0001-5138-8293 smeberts@usgs.gov","orcid":"https://orcid.org/0000-0001-5138-8293","contributorId":127844,"corporation":false,"usgs":true,"family":"Eberts","given":"Sandra","email":"smeberts@usgs.gov","middleInitial":"M.","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":true,"id":768721,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, Chad R. 0000-0002-9602-7413 cwagner@usgs.gov","orcid":"https://orcid.org/0000-0002-9602-7413","contributorId":1530,"corporation":false,"usgs":true,"family":"Wagner","given":"Chad R.","email":"cwagner@usgs.gov","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true},{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":false,"id":768723,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woodside, Michael D. 0000-0002-1471-9417 mdwoodsi@usgs.gov","orcid":"https://orcid.org/0000-0002-1471-9417","contributorId":210703,"corporation":false,"usgs":true,"family":"Woodside","given":"Michael","email":"mdwoodsi@usgs.gov","middleInitial":"D.","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":true,"id":768722,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70205570,"text":"70205570 - 2019 - A framework for quantifying resilience to forest disturbance","interactions":[],"lastModifiedDate":"2019-09-27T09:42:32","indexId":"70205570","displayToPublicDate":"2019-09-18T08:36:18","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5860,"text":"Frontiers in Forests and Global Change","active":true,"publicationSubtype":{"id":10}},"displayTitle":"A Framework for Quantifying Resilience to Forest Disturbance","title":"A framework for quantifying resilience to forest disturbance","docAbstract":"(Bradford) The concept of ecological resilience is an invaluable tool to assess the risk of state transitions and predict the impact of management on an ecosystem’s response to future disturbances. However, resilience is difficult to quantify and the factors contributing to resilience are often unknown in systems subject to multiple disturbances. We present a framework to assess the possibility of ponderosa pine and dry mixed conifer forests to be resilient to future disturbance by combining indicators of resistance to fire, insect, and drought disturbances using data from the Rio Tusas-Lower San Antonio landscape in northern New Mexico. On average, the dry mixed conifer forests received a higher score for potential resilience than the ponderosa pine (5.24 and 4.07, respectively, out of nine possible points). Canopy bulk density was the most important driver of the overall score in the dry mixed conifer type. In the ponderosa pine type, overall basal area and canopy bulk density were the strongest drivers of the overall score. These indicators have the greatest impact on the resilience score and provide the most effective targets for management to increase the possibility of resilience in these forest types. We validated the model in both forest types by comparing individual stands to an ‘ideal’ score for a stand that is within the historic range of variation (HRV) and confirmed that stands outside of HRV had a low possibility of resilience and stands that had received restoration-based treatments were more likely to be resilient. Our results provide evidence that the changes to forest structure and species composition that have occurred since the onset of fire exclusion have degraded the potential of these forest types to be resilient to future fire, insect, and drought-related disturbances. By modifying disturbances and resilience indicator thresholds this model can be applied to assess resilience across various regions and ecosystem types.","language":"English","publisher":"Frontiers","doi":"10.3389/ffgc.2019.00056","usgsCitation":"Bryant, T., Waring, K., Sanchez, M., and Bradford, J.B., 2019, A framework for quantifying resilience to forest disturbance: Frontiers in Forests and Global Change, v. 2, no. 56, 14 p., https://doi.org/10.3389/ffgc.2019.00056.","productDescription":"14 p.","ipdsId":"IP-101395","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":459779,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/ffgc.2019.00056","text":"Publisher Index Page"},{"id":367718,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","issue":"56","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-09-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Bryant, Timothy","contributorId":219222,"corporation":false,"usgs":false,"family":"Bryant","given":"Timothy","email":"","affiliations":[{"id":39973,"text":"School of Forestry, Northern Arizona University, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":771695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waring, Kristen","contributorId":219223,"corporation":false,"usgs":false,"family":"Waring","given":"Kristen","email":"","affiliations":[{"id":39973,"text":"School of Forestry, Northern Arizona University, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":771696,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sanchez, Meador","contributorId":219224,"corporation":false,"usgs":false,"family":"Sanchez","given":"Meador","email":"","affiliations":[{"id":39973,"text":"School of Forestry, Northern Arizona University, Flagstaff, AZ","active":true,"usgs":false}],"preferred":false,"id":771697,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":611,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":771694,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70206155,"text":"70206155 - 2019 - Factors promoting the recolonization of Oahu, Hawaii, by Bristle-thighed Curlews","interactions":[],"lastModifiedDate":"2019-11-13T13:55:42","indexId":"70206155","displayToPublicDate":"2019-09-18T07:00:45","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Factors promoting the recolonization of Oahu, Hawaii, by Bristle-thighed Curlews","docAbstract":"Suitable habitat for Arctic-breeding migratory shorebirds is decreasing at their traditional wintering islands and atolls in the Central Pacific Flyway (i.e., Oceania) due to habitat degradation, reclamation, and sea-level rise.  To maintain the size and resiliency of their populations, migratory shorebirds will need to expand their winter ranges by either colonizing new sites or recolonizing old sites from which they were extirpated.  Bristle-thighed Curlews (Numenius tahitiensis) are long-distance migratory shorebirds that breed only in Alaska and winter across a vast region of the Central Pacific, typically on remote, unpopulated islands and atolls. Historically, Bristle-thighed Curlews were considered uncommon transients on the main Hawaiian Islands, but in the mid-1990s, curlews became regular visitors to Oahu and subsequently began wintering at the James Campbell National Wildlife Refuge on Oahu Island in Hawaii.  Curlew numbers at this site grew steadily from <5 birds in the mid-1990s to an estimated 126 winter residents (95%CI 108–147) in 2013–2014.   Timing of the recolonization event coincided with the establishment of a fenced pond complex that was managed for endangered waterbirds by maintaining areas of shallow water and low vegetation.  High rates of apparent annual survival exhibited by adults and subadults (0.86–0.95) confirmed the suitability of the Refuge to curlews.  Our results suggest that curlews in Oceania can naturally recolonize wintering islands, a trait that may be key to the survival of this species of conservation concern in an era of rising sea levels.","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2019.e00785","usgsCitation":"Tibbitts, T.L., Ruthrauff, D.R., Underwood, J.G., and Patil, V.P., 2019, Factors promoting the recolonization of Oahu, Hawaii, by Bristle-thighed Curlews: Global Ecology and Conservation, v. 21, e00785, https://doi.org/10.1016/j.gecco.2019.e00785.","productDescription":"e00785","ipdsId":"IP-106100","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":459783,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2019.e00785","text":"Publisher Index Page"},{"id":368549,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Oahu","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -158.433837890625,\n              21.151115354148047\n            ],\n            [\n              -157.510986328125,\n              21.151115354148047\n            ],\n            [\n              -157.510986328125,\n              21.84620351827813\n            ],\n            [\n              -158.433837890625,\n              21.84620351827813\n            ],\n            [\n              -158.433837890625,\n              21.151115354148047\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"21","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tibbitts, T. Lee 0000-0002-0290-7592 ltibbitts@usgs.gov","orcid":"https://orcid.org/0000-0002-0290-7592","contributorId":102185,"corporation":false,"usgs":true,"family":"Tibbitts","given":"T.","email":"ltibbitts@usgs.gov","middleInitial":"Lee","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":773739,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruthrauff, Daniel R. 0000-0003-1355-9156 druthrauff@usgs.gov","orcid":"https://orcid.org/0000-0003-1355-9156","contributorId":4181,"corporation":false,"usgs":true,"family":"Ruthrauff","given":"Daniel","email":"druthrauff@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":773740,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Underwood, Jared G.","contributorId":198606,"corporation":false,"usgs":false,"family":"Underwood","given":"Jared","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":773741,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Patil, Vijay P. 0000-0002-9357-194X vpatil@usgs.gov","orcid":"https://orcid.org/0000-0002-9357-194X","contributorId":203676,"corporation":false,"usgs":true,"family":"Patil","given":"Vijay","email":"vpatil@usgs.gov","middleInitial":"P.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":false,"id":773742,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70202992,"text":"fs20193019 - 2019 - Water resources of Lincoln Parish, Louisiana","interactions":[],"lastModifiedDate":"2020-03-18T11:25:43","indexId":"fs20193019","displayToPublicDate":"2019-09-17T14:56:18","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-3019","displayTitle":"Water Resources of Lincoln Parish, Louisiana","title":"Water resources of Lincoln Parish, Louisiana","docAbstract":"<p>Information concerning the availability, use, and quality of water in Lincoln Parish, Louisiana, is critical for proper water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. In 2014, about 7.76 million gallons per day (Mgal/d) of water were withdrawn in Lincoln Parish: 7.69 Mgal/d from groundwater sources and 0.07 Mgal/d from surface-water sources. Withdrawals for public-supply use accounted for about 89 percent (6.88 Mgal/d) of the total water withdrawn. Other categories of use included industrial, general irrigation, livestock, and rural domestic. Water-use data collected at 5-year intervals from 1960 to 2010 and again in 2014 indicate that water withdrawals peaked in 2000 at 11.01 Mgal/d.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193019","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"White, V.E., 2019, Water resources of Lincoln Parish, Louisiana: U.S. Geological Survey Fact Sheet 2019–3019, 6 p., https://doi.org/10.3133/fs20193019.","productDescription":"Report: 6 p; Data Release","onlineOnly":"N","ipdsId":"IP-081706","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":367462,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3019/coverthb.jpg"},{"id":367464,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78051VM","text":"USGS data release ","description":"USGS Data Release","linkHelpText":"Water withdrawals by source and category in Louisiana Parishes, 2014–2015"},{"id":367463,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3019/fs20193019.pdf","text":"Report","size":"871 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019–3019"}],"country":"United States","state":"Louisiana","county":"Lincoln Parish","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-92.8807,32.5853],[-92.8808,32.5898],[-92.8809,32.5953],[-92.881,32.6003],[-92.875,32.6026],[-92.8723,32.6022],[-92.8669,32.6068],[-92.8655,32.6178],[-92.8645,32.626],[-92.8609,32.6374],[-92.8638,32.6497],[-92.8667,32.6592],[-92.8647,32.6661],[-92.8686,32.6729],[-92.866,32.6788],[-92.8623,32.6871],[-92.8548,32.6926],[-92.8484,32.7009],[-92.8409,32.7106],[-92.835,32.7134],[-92.8284,32.7125],[-92.8287,32.7603],[-92.8014,32.7602],[-92.7757,32.76],[-92.7256,32.7597],[-92.6361,32.7597],[-92.6312,32.7593],[-92.6279,32.7575],[-92.6191,32.7548],[-92.6147,32.7526],[-92.6099,32.7549],[-92.6044,32.7555],[-92.5968,32.7551],[-92.5913,32.7528],[-92.5852,32.7488],[-92.5787,32.748],[-92.5722,32.7489],[-92.5672,32.7453],[-92.5572,32.7331],[-92.5517,32.7268],[-92.5472,32.7205],[-92.5418,32.7187],[-92.5374,32.7206],[-92.5342,32.7224],[-92.5271,32.7202],[-92.5233,32.723],[-92.5195,32.7239],[-92.5188,32.6725],[-92.4736,32.6715],[-92.4153,32.672],[-92.4132,32.5845],[-92.4155,32.4952],[-92.6231,32.497],[-92.6228,32.4747],[-92.6231,32.4537],[-92.7768,32.4548],[-92.8078,32.4545],[-92.8795,32.4541],[-92.8779,32.5202],[-92.8807,32.5853]]]},\"properties\":{\"name\":\"Lincoln\",\"state\":\"LA\"}}]}","contact":"<p><a href=\"mailto:gs-w-lmg_center_director@usgs.gov\" data-mce-href=\"mailto:gs-w-lmg_center_director@usgs.gov\">Director</a>, <a href=\"https://la.water.usgs.gov/\" data-mce-href=\"https://la.water.usgs.gov/\">Lower Mississippi-Gulf Water Science Center</a><br>U.S. Geological Survey<br>3535 S. Sherwood Forest Blvd., Suite 120 <br>Baton Rouge, LA 70816</p>","tableOfContents":"<ul><li>Introduction</li><li>Groundwater Resources</li><li>Surface-Water Resources</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2019-09-17","noUsgsAuthors":false,"publicationDate":"2019-09-17","publicationStatus":"PW","contributors":{"authors":[{"text":"White, Vincent E. 0000-0002-1660-0102 vwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-1660-0102","contributorId":5388,"corporation":false,"usgs":true,"family":"White","given":"Vincent","email":"vwhite@usgs.gov","middleInitial":"E.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760721,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70202995,"text":"fs20193022 - 2019 - Water resources of Winn Parish, Louisiana","interactions":[],"lastModifiedDate":"2020-03-19T06:44:24","indexId":"fs20193022","displayToPublicDate":"2019-09-17T14:55:22","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-3022","displayTitle":"Water Resources of Winn Parish, Louisiana","title":"Water resources of Winn Parish, Louisiana","docAbstract":"<p>Information concerning the availability, use, and quality of water in Winn Parish, Louisiana, is critical for proper water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. In 2014, about 2.74 million gallons per day (Mgal/d) of water were withdrawn in Winn Parish: 2.69 Mgal/d from groundwater sources and 0.05 Mgal/d from surface-water sources. Withdrawals for public supply accounted for about 71 percent (1.95 Mgal/d) of the total water withdrawn, and industrial use accounted for about 19 percent (0.51 Mgal/d). Other categories of use included rural domestic, livestock, and general irrigation. Water-use data collected at 5-year intervals from 1960 to 2010 and again in 2014 indicated that water withdrawals peaked in 2000 at about 3.81&nbsp;Mgal/d.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193022","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"White, V.E., 2019, Water resources of Winn Parish, Louisiana: U.S. Geological Survey Fact Sheet 2019–3022, 6 p., https://doi.org/10.3133/fs20193022.","productDescription":"Report: 6 p; Data Release","onlineOnly":"N","ipdsId":"IP-081708","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":367459,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3022/coverthb.jpg"},{"id":367460,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3022/fs20193022.pdf","text":"Report","size":"857 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019–3022"},{"id":367461,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78051VM","text":"USGS data release ","linkHelpText":"Water withdrawals by source and category in Louisiana Parishes, 2014–2015"}],"country":"United States","state":"Louisiana ","otherGeospatial":"Winn Parish ","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-92.3114,32.1483],[-92.3129,31.9276],[-92.3126,31.8966],[-92.3136,31.8934],[-92.3201,31.8893],[-92.3216,31.8847],[-92.3194,31.8792],[-92.3221,31.8719],[-92.3241,31.8605],[-92.3295,31.8577],[-92.3354,31.8563],[-92.3375,31.854],[-92.3348,31.8499],[-92.3315,31.8463],[-92.3352,31.8394],[-92.34,31.8307],[-92.3383,31.8239],[-92.3404,31.8207],[-92.3409,31.8157],[-92.3489,31.8092],[-92.3532,31.8083],[-92.3586,31.8073],[-92.359,31.8014],[-92.3628,31.7968],[-92.4043,31.797],[-92.4156,31.7969],[-92.428,31.7972],[-92.4662,31.7969],[-92.6193,31.7978],[-92.6196,31.7836],[-92.6194,31.7686],[-92.6202,31.7101],[-92.6541,31.7098],[-92.6708,31.7096],[-92.8248,31.7102],[-92.9647,31.7098],[-92.9734,31.7147],[-92.9657,31.7354],[-92.9693,31.7473],[-92.973,31.7512],[-92.9733,31.7523],[-92.9742,31.7562],[-92.9742,31.7582],[-92.9735,31.7606],[-92.9723,31.7637],[-92.967,31.7759],[-92.9633,31.7796],[-92.9547,31.7816],[-92.9538,31.7884],[-92.9528,31.7939],[-92.9518,31.7967],[-92.9464,31.8004],[-92.9465,31.8045],[-92.9476,31.8081],[-92.9418,31.8151],[-92.9489,31.8186],[-92.9517,31.8231],[-92.9512,31.8254],[-92.9491,31.8273],[-92.9469,31.8268],[-92.9409,31.8224],[-92.9382,31.8238],[-92.9389,31.8288],[-92.9465,31.8351],[-92.9498,31.8387],[-92.9494,31.8441],[-92.9468,31.8492],[-92.9506,31.8523],[-92.9528,31.8569],[-92.9464,31.8574],[-92.9415,31.8543],[-92.9366,31.8534],[-92.9263,31.8548],[-92.9178,31.8528],[-92.9101,31.851],[-92.9068,31.8553],[-92.904,31.8547],[-92.8992,31.8598],[-92.9067,31.8698],[-92.9025,31.8757],[-92.9033,31.8926],[-92.8943,31.9014],[-92.8971,31.91],[-92.8951,31.9174],[-92.893,31.9197],[-92.8871,31.9243],[-92.8836,31.9378],[-92.8745,31.9427],[-92.8735,31.9459],[-92.8833,31.9535],[-92.8888,31.9562],[-92.8894,31.9612],[-92.8878,31.964],[-92.8852,31.9667],[-92.8836,31.9672],[-92.883,31.9682],[-92.8837,31.9727],[-92.8832,31.9804],[-92.8924,31.9812],[-92.8962,31.9816],[-92.9011,31.9825],[-92.9083,31.9902],[-92.9045,31.9929],[-92.8965,31.9967],[-92.8906,32.0018],[-92.8892,32.0118],[-92.8893,32.0191],[-92.8873,32.0269],[-92.8934,32.0364],[-92.8931,32.0478],[-92.8998,32.0628],[-92.9084,32.0722],[-92.9131,32.0781],[-92.9078,32.0868],[-92.9079,32.0914],[-92.9129,32.0982],[-92.9143,32.1008],[-92.9162,32.104],[-92.9218,32.1117],[-92.9262,32.118],[-92.935,32.1257],[-92.9363,32.138],[-92.938,32.1425],[-92.9402,32.1457],[-92.9407,32.148],[-92.9376,32.148],[-92.8207,32.149],[-92.812,32.1491],[-92.3114,32.1483]]]},\"properties\":{\"name\":\"Winn\",\"state\":\"LA\"}}]}","contact":"<p><a href=\"mailto:gs-w-lmg_center_director@usgs.gov\" data-mce-href=\"mailto:gs-w-lmg_center_director@usgs.gov\">Director</a>, <a href=\"https://la.water.usgs.gov/\" data-mce-href=\"https://la.water.usgs.gov/\">Lower Mississippi-Gulf Water Science Center</a><br>U.S. Geological Survey<br>3535 S. Sherwood Forest Blvd., Suite 120 <br>Baton Rouge, LA 70816</p>","tableOfContents":"<ul><li>Introduction</li><li>Groundwater Resources</li><li>Surface-Water Resources</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2019-09-17","noUsgsAuthors":false,"publicationDate":"2019-09-17","publicationStatus":"PW","contributors":{"authors":[{"text":"White, Vincent E. 0000-0002-1660-0102 vwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-1660-0102","contributorId":5388,"corporation":false,"usgs":true,"family":"White","given":"Vincent","email":"vwhite@usgs.gov","middleInitial":"E.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760724,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70202994,"text":"fs20193021 - 2019 - Water resources of Franklin Parish, Louisiana","interactions":[],"lastModifiedDate":"2020-03-18T11:23:47","indexId":"fs20193021","displayToPublicDate":"2019-09-17T14:54:25","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-3021","displayTitle":"Water Resources of Franklin Parish, Louisiana","title":"Water resources of Franklin Parish, Louisiana","docAbstract":"<p>Information concerning the availability, use, and quality of water in Franklin Parish, Louisiana, is critical for proper water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. In 2014, about 41.79 million gallons per day (Mgal/d) of water were withdrawn in Franklin Parish: 37.73 Mgal/d from groundwater sources and 4.06 Mgal/d from surface-water sources. Withdrawals for agricultural use—composed of general irrigation, rice irrigation, aquaculture, and livestock—accounted for about 89 percent (37.16 Mgal/d) of the total water withdrawn. Public-supply use accounted for about 3 percent (1.07 Mgal/d); industry accounted for about 7 percent (2.92 Mgal/d); and rural domestic use accounted for about 2 percent (0.64 Mgal/d). Water-use data collected at 5-year intervals from 1960 to 2010 and again in 2014 indicated that water withdrawals peaked in 2005 at more than 50 Mgal/d.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193021","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"White, V.E., 2019, Water resources of Franklin Parish, Louisiana: U.S. Geological Survey Fact Sheet 2019–3021, 6 p., https://doi.org/10.3133/fs20193021.","productDescription":"Report: 6 p; Data Release","onlineOnly":"N","ipdsId":"IP-081698","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":367456,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3021/coverthb.jpg"},{"id":367457,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3021/fs20193021.pdf","text":"Report","size":"0.98 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019–3021"},{"id":367458,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78051VM","text":"USGS data release ","description":"USGS Data Release","linkHelpText":"Water withdrawals by source and category in Louisiana Parishes, 2014–2015"}],"country":"United States","state":"Louisiana","county":"Franklin Parish","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-91.4784,32.4064],[-91.4757,32.4028],[-91.4811,32.401],[-91.4833,32.3969],[-91.4789,32.3932],[-91.4746,32.3836],[-91.4648,32.3768],[-91.4556,32.3727],[-91.4518,32.3686],[-91.4507,32.3627],[-91.4524,32.3586],[-91.4567,32.3568],[-91.46,32.354],[-91.4665,32.3508],[-91.4681,32.3513],[-91.4779,32.3522],[-91.48,32.3549],[-91.4833,32.3604],[-91.4827,32.3663],[-91.4855,32.3663],[-91.4893,32.359],[-91.4985,32.3513],[-91.5012,32.3467],[-91.5012,32.3426],[-91.4952,32.3381],[-91.4887,32.339],[-91.48,32.3431],[-91.4746,32.3417],[-91.473,32.3376],[-91.4762,32.3326],[-91.4725,32.3244],[-91.4719,32.3171],[-91.4746,32.3157],[-91.4768,32.3176],[-91.4839,32.318],[-91.492,32.3157],[-91.5045,32.3148],[-91.5023,32.3057],[-91.505,32.293],[-91.5077,32.2939],[-91.5104,32.298],[-91.5185,32.3012],[-91.5251,32.3021],[-91.5278,32.2993],[-91.5299,32.2939],[-91.5272,32.2866],[-91.524,32.2779],[-91.5256,32.2611],[-91.524,32.2528],[-91.5245,32.2515],[-91.5261,32.2501],[-91.5332,32.2501],[-91.5359,32.2547],[-91.5429,32.2592],[-91.55,32.2592],[-91.5532,32.2579],[-91.5559,32.2547],[-91.557,32.2487],[-91.5521,32.2469],[-91.544,32.2396],[-91.5386,32.2364],[-91.525,32.2342],[-91.5147,32.2387],[-91.5153,32.2287],[-91.5212,32.2223],[-91.525,32.221],[-91.5305,32.2223],[-91.5397,32.2196],[-91.5407,32.2182],[-91.5478,32.2091],[-91.5462,32.2059],[-91.5402,32.2086],[-91.5359,32.2036],[-91.4931,32.2032],[-91.4925,32.1562],[-91.4952,32.1553],[-91.4952,32.1485],[-91.5012,32.1453],[-91.5061,32.1458],[-91.5066,32.1435],[-91.505,32.1407],[-91.5082,32.1211],[-91.5072,32.1075],[-91.5131,32.1047],[-91.5099,32.0979],[-91.5039,32.097],[-91.499,32.0979],[-91.4963,32.0965],[-91.4904,32.0933],[-91.4931,32.086],[-91.4904,32.0815],[-91.4899,32.0765],[-91.4952,32.076],[-91.4947,32.0733],[-91.492,32.0719],[-91.4925,32.0701],[-91.5001,32.0683],[-91.5017,32.0664],[-91.5017,32.056],[-91.505,32.0523],[-91.505,32.0427],[-91.505,32.0391],[-91.5088,32.0354],[-91.5055,32.029],[-91.5104,32.0227],[-91.5093,32.0195],[-91.4963,32.009],[-91.4953,32.004],[-91.498,31.9967],[-91.4969,31.9926],[-91.4985,31.9908],[-91.5066,31.9926],[-91.5152,31.9857],[-91.5147,31.9794],[-91.512,31.9766],[-91.5174,31.9734],[-91.5212,31.968],[-91.525,31.9643],[-91.5271,31.9634],[-91.5282,31.9593],[-91.5212,31.9584],[-91.5131,31.9543],[-91.5098,31.9397],[-91.5115,31.9301],[-91.5212,31.9242],[-91.5233,31.9173],[-91.5276,31.9151],[-91.533,31.9151],[-91.5384,31.9151],[-91.5471,31.9123],[-91.5514,31.9059],[-91.5605,31.9009],[-91.5724,31.8895],[-91.5762,31.8827],[-91.5977,31.8826],[-91.5972,31.884],[-91.5972,31.8981],[-91.5973,31.9588],[-91.5973,31.9706],[-91.6254,31.9706],[-91.6481,31.9706],[-91.6491,31.9633],[-91.6486,31.9596],[-91.6561,31.9496],[-91.6578,31.9464],[-91.6588,31.9428],[-91.6658,31.9336],[-91.6691,31.9314],[-91.6674,31.9282],[-91.6685,31.9259],[-91.6761,31.9259],[-91.6836,31.9231],[-91.6884,31.9195],[-91.6954,31.9131],[-91.6949,31.9076],[-91.6976,31.9058],[-91.7019,31.9048],[-91.7062,31.8957],[-91.7105,31.8943],[-91.7143,31.8962],[-91.7208,31.8948],[-91.724,31.8897],[-91.7294,31.8824],[-91.7472,31.8815],[-91.7483,31.8824],[-91.7488,31.8838],[-91.7531,31.8856],[-91.7607,31.8838],[-91.7623,31.8815],[-91.7725,31.8764],[-91.7741,31.8755],[-91.7773,31.8737],[-91.7816,31.8723],[-91.7849,31.8796],[-91.7795,31.886],[-91.7828,31.8896],[-91.7871,31.8887],[-91.7925,31.8887],[-91.799,31.8919],[-91.8033,31.8941],[-91.8049,31.8969],[-91.8028,31.9023],[-91.7963,31.8996],[-91.7947,31.9005],[-91.7942,31.9024],[-91.7947,31.9042],[-91.7958,31.9065],[-91.799,31.9087],[-91.8012,31.9106],[-91.8034,31.9124],[-91.8007,31.9183],[-91.8012,31.9197],[-91.8034,31.921],[-91.8083,31.9187],[-91.8142,31.9242],[-91.8164,31.9205],[-91.8185,31.9182],[-91.8207,31.9178],[-91.825,31.9201],[-91.8288,31.9242],[-91.8315,31.9283],[-91.831,31.9314],[-91.8304,31.9324],[-91.8299,31.9337],[-91.831,31.9383],[-91.8358,31.936],[-91.8412,31.9369],[-91.8429,31.941],[-91.8456,31.9451],[-91.8478,31.9519],[-91.8473,31.9551],[-91.8575,31.9578],[-91.8619,31.9619],[-91.8884,31.9723],[-91.8987,31.9891],[-91.9009,31.9969],[-91.8972,32.0005],[-91.8966,32.0019],[-91.8988,32.0056],[-91.901,32.0083],[-91.8978,32.011],[-91.8961,32.0138],[-91.8989,32.0179],[-91.9016,32.0192],[-91.9043,32.0201],[-91.9,32.0297],[-91.8984,32.0334],[-91.9,32.0361],[-91.9011,32.0388],[-91.9017,32.042],[-91.9022,32.0443],[-91.9082,32.0465],[-91.9087,32.0488],[-91.9099,32.0525],[-91.9126,32.0561],[-91.911,32.0616],[-91.9115,32.0639],[-91.9131,32.0648],[-91.9153,32.0625],[-91.9185,32.0625],[-91.9207,32.0652],[-91.9229,32.0656],[-91.9278,32.067],[-91.9299,32.0684],[-91.9305,32.0724],[-91.923,32.0789],[-91.9149,32.0812],[-91.917,32.0839],[-91.9149,32.0862],[-91.9116,32.0848],[-91.9078,32.0803],[-91.9056,32.078],[-91.903,32.0808],[-91.9008,32.083],[-91.8981,32.0835],[-91.8938,32.0817],[-91.8905,32.0822],[-91.8868,32.0835],[-91.8846,32.0863]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href=\"mailto:gs-w-lmg_center_director@usgs.gov\" data-mce-href=\"mailto:gs-w-lmg_center_director@usgs.gov\">Director</a>, <a href=\"https://la.water.usgs.gov/\" data-mce-href=\"https://la.water.usgs.gov/\">Lower Mississippi-Gulf Water Science Center</a><br>U.S. Geological Survey<br>3535 S. Sherwood Forest Blvd., Suite 120 <br>Baton Rouge, LA 70816</p>","tableOfContents":"<ul><li>Introduction</li><li>Groundwater Resources</li><li>Surface-Water Resources</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2019-09-17","noUsgsAuthors":false,"publicationDate":"2019-09-17","publicationStatus":"PW","contributors":{"authors":[{"text":"White, Vincent E. 0000-0002-1660-0102 vwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-1660-0102","contributorId":5388,"corporation":false,"usgs":true,"family":"White","given":"Vincent","email":"vwhite@usgs.gov","middleInitial":"E.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760723,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70202991,"text":"fs20193018 - 2019 - Water resources of Madison Parish, Louisiana","interactions":[],"lastModifiedDate":"2020-03-18T11:28:44","indexId":"fs20193018","displayToPublicDate":"2019-09-17T14:53:25","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-3018","displayTitle":"Water Resources of Madison Parish, Louisiana","title":"Water resources of Madison Parish, Louisiana","docAbstract":"<p>Information concerning the availability, use, and quality of water in Madison Parish, Louisiana, is critical for proper water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. In 2014, 50.66 million gallons per day (Mgal/d) of water were withdrawn in Madison Parish: 44.37 Mgal/d from groundwater sources and 6.30 Mgal/d from surface-water sources. Withdrawals for agricultural use—composed of general irrigation, rice irrigation, livestock, and aquaculture—accounted for about 96 percent (48.86 Mgal/d) of the total water withdrawn. Other categories of use included public supply and rural domestic. Water-use data collected at 5-year intervals from 1960 to 2010 and again in 2014 indicated that water withdrawals peaked in 2014. The relatively large increase in water use from 2005 to 2010 is largely attributable to a change in the methods used for estimation of general irrigation land usage. General irrigation withdrawals from groundwater increased from 11.13 Mgal/d in 2005 to 28.28 Mgal/d in 2010.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193018","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"White, V.E., 2019, Water resources of Madison Parish, Louisiana: U.S. Geological Survey Fact Sheet 2019–3018, 6 p., https://doi.org/10.3133/fs20193018.","productDescription":"Report: 6 p., Data Release","onlineOnly":"N","ipdsId":"IP-081700","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":367454,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3018/fs20193018.pdf","text":"Report","size":"934 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019–3018"},{"id":367453,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3018/coverthb.jpg"},{"id":367455,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78051VM","text":"USGS data release ","description":"USGS Data Release","linkHelpText":"Water withdrawals by source and category in Louisiana Parishes, 2014–2015"}],"country":"United States","state":"Louisiana","county":"Madison 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href=\"mailto:gs-w-lmg_center_director@usgs.gov\" data-mce-href=\"mailto:gs-w-lmg_center_director@usgs.gov\">Director</a>, <a href=\"https://la.water.usgs.gov/\" data-mce-href=\"https://la.water.usgs.gov/\">Lower Mississippi-Gulf Water Science Center</a><br>U.S. Geological Survey<br>3535 S. Sherwood Forest Blvd., Suite 120 <br>Baton Rouge, LA 70816</p>","tableOfContents":"<ul><li>Introduction</li><li>Groundwater Resources</li><li>Surface-Water Resources</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2019-09-17","noUsgsAuthors":false,"publicationDate":"2019-09-17","publicationStatus":"PW","contributors":{"authors":[{"text":"White, Vincent E. 0000-0002-1660-0102 vwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-1660-0102","contributorId":5388,"corporation":false,"usgs":true,"family":"White","given":"Vincent","email":"vwhite@usgs.gov","middleInitial":"E.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760720,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
]}