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These conditions drive severe tree mortality, increase wildfire occurrence and intensity, reduce water availability, and hasten subsidence in groundwater basins. Collectively, these challenges threaten public safety, compromise infrastructure, and adversely impact the economic well-being of California's citizens. Critical applications that address these issues depend on light detection and ranging (lidar) data that provide a highly detailed, three-dimensional (3D) model of the Earth’s surface. 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 \"}}]}","edition":"Version 1.1; Revised June 24, 2019","contact":"<p>Director, <a href=\"https://www.usgs.gov/core-science-systems/national-geospatial-program/\" data-mce-href=\"https://www.usgs.gov/core-science-systems/national-geospatial-program/\">National Geospatial Program</a><br>U.S. Geological Survey, MS 511<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p><p><a href=\"https://nationalmap.gov/3DEP/\" data-mce-href=\"https://nationalmap.gov/3DEP/\">3D Elevation Program</a><br>Email: <a href=\"mailto:3DEP@usgs.gov\" data-mce-href=\"mailto:3DEP@usgs.gov\">3DEP@usgs.gov</a></p>","tableOfContents":"<ul><li>Introduction</li><li>Infrastructure and Construction Management</li><li>Flood Risk Management</li><li>Wildfire Management, Planning, and Response</li><li>Geologic Resource Assessment and Hazard Mitigation</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2019-05-16","revisedDate":"2019-06-24","noUsgsAuthors":false,"publicationDate":"2019-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Ostergren, Carol L. 0000-0002-3424-2708 costergren@usgs.gov","orcid":"https://orcid.org/0000-0002-3424-2708","contributorId":215417,"corporation":false,"usgs":true,"family":"Ostergren","given":"Carol","email":"costergren@usgs.gov","middleInitial":"L.","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":762275,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Decker, Drew 0000-0002-2451-6269 ddecker@usgs.gov","orcid":"https://orcid.org/0000-0002-2451-6269","contributorId":206510,"corporation":false,"usgs":true,"family":"Decker","given":"Drew","email":"ddecker@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":true,"id":762276,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carswell, Jr. 0000-0001-9475-3780 carswell@usgs.gov","orcid":"https://orcid.org/0000-0001-9475-3780","contributorId":198232,"corporation":false,"usgs":true,"family":"Carswell","suffix":"Jr.","email":"carswell@usgs.gov","affiliations":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"preferred":false,"id":762274,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70203788,"text":"70203788 - 2019 - Encylopedia of Caves","interactions":[],"lastModifiedDate":"2019-06-13T09:00:59","indexId":"70203788","displayToPublicDate":"2019-05-16T08:59:45","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Encylopedia of Caves","docAbstract":"For many people, a visit to a cave is a wondrous event directing our minds to ponder the mysteries presented by these unique places\nand inspiring questions: How old is the cave? What was the role of water in forming the cave and where did the water come from?\nHow is the cave connected to the surface environment? These are intriguing questions to ask, and karst scientists use isotope\ngeochemistry to help solve these mysteries.\nIsotopes are atoms of the same chemical element that have the same number of protons but vary in their number of neutrons. As a\nresult of their atomic mass difference, isotopes of a single element may exhibit slightly different chemical behavior. Radioisotopes are\nunstable and the nucleus of a parent isotope will spontaneously break apart (decay), releasing energy and changing into another element\n(daughter product) by loss or gain of protons, neutrons, or electrons. Stable isotopes, as implied by the name, are stable and do not\nspontaneously decay. These two types of isotopes are used widely by scientists to understand ancient and modern karst systems.\nGenerally, radioisotopes are used for absolute dating karst water, cave sediments, cave formations (speleothems), and other\nmaterial preserved in caves (such as bones). Stable isotopes can provide information about relative ages of cave water and speleothems.\nAn absolute age provides a numeric date—such as 100,000 years old—whereas a relative age provides information that\nsomething is older or younger than something else—such as cave art is younger than a speleothem found in the same cave. Stable\nisotopes are used to study ancient karst systems because isotopic signals of past climate (paleoclimate) and environmental conditions\n(paleoenvironment) are preserved in speleothems and sediments. Stable isotopes are also used to understand modern\nsystems, primarily through studies that distinguish sources of karst water, cave air, or contaminants, mixing of those sources,\nand biologic or chemical reactions that process compounds, such as breakdown of contaminants or organic matter.\nThe variation in mass among isotopes is small, and isotope abundances are measured as a ratio of a common isotope to its less\ncommon isotopic counterparts (stable isotopes) or the abundance of a parent compared to daughter isotope (radioisotopes). As an\nexample, hydrogen (H) has three naturally occurring isotopes. Most H comprises one proton (1H), but the rarer stable isotope\n(called deuterium) comprises one proton and one neutron (2H), and the radioisotope (called tritium) comprises one proton\nand two neutrons (3H). Because scientists use the minute differences in isotopes to test hypotheses, a scientist must understand\nthe accuracy, precision, and error of the available methods, the assumptions about the chemical conditions of interest, and the\nlimitations of the isotopic method being used. Many isotopic studies employ multiple isotopic tracers to better leverage the\nstrengths and offset the limitations of using a single isotope. This article focuses on isotopes used to study the geology and\nhydrology of caves, but much additional isotopic work has been used to characterize the biology of caves.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of Caves","largerWorkSubtype":{"id":14,"text":"Instruction"},"language":"English","publisher":"Elsevier","isbn":"9780128141243","usgsCitation":"Knierim, K.J., and Hays, P.D., 2019, Encylopedia of Caves, chap. <i>of</i> Encyclopedia of Caves, p. 567-575.","productDescription":"9 p.","startPage":"567","endPage":"575","ipdsId":"IP-094092","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":364629,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":364610,"type":{"id":15,"text":"Index Page"},"url":"https://www.elsevier.com/books/encyclopedia-of-caves/white/978-0-12-814124-3"}],"edition":"3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Knierim, Katherine J. 0000-0002-5361-4132 kknierim@usgs.gov","orcid":"https://orcid.org/0000-0002-5361-4132","contributorId":191788,"corporation":false,"usgs":true,"family":"Knierim","given":"Katherine","email":"kknierim@usgs.gov","middleInitial":"J.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":764132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hays, Phillip D. 0000-0001-5491-9272 pdhays@usgs.gov","orcid":"https://orcid.org/0000-0001-5491-9272","contributorId":4145,"corporation":false,"usgs":true,"family":"Hays","given":"Phillip","email":"pdhays@usgs.gov","middleInitial":"D.","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},{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":764133,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70200762,"text":"sir20185147 - 2019 - Revisions to suspended-sediment concentration, percent smaller than 0.063 millimeter, and instantaneous suspended-sediment discharge reported for a cooperative program between the U.S. Geological Survey and the U.S. Army Corps of Engineers in the lower Mississippi-Atchafalaya River Basin, October 1989 to February 2015","interactions":[],"lastModifiedDate":"2019-05-16T09:54:52","indexId":"sir20185147","displayToPublicDate":"2019-05-16T06:35:18","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2018-5147","displayTitle":"Revisions to Suspended-Sediment Concentration, Percent Smaller Than 0.063 Millimeter, and Instantaneous Suspended-Sediment Discharge Reported for a Cooperative Program Between the U.S. Geological Survey and the U.S. Army Corps of Engineers in the Lower Mississippi-Atchafalaya River Basin, October 1989 to February 2015","title":"Revisions to suspended-sediment concentration, percent smaller than 0.063 millimeter, and instantaneous suspended-sediment discharge reported for a cooperative program between the U.S. Geological Survey and the U.S. Army Corps of Engineers in the lower Mississippi-Atchafalaya River Basin, October 1989 to February 2015","docAbstract":"<p>This report presents revised results for four parameters reported for suspended-sediment samples that were collected in the lower Mississippi-Atchafalaya River Basin as part of a cooperative program between the U.S. Army Corps of Engineers, Mississippi Valley Division, New Orleans District and the U.S. Geological Survey (USGS). The cooperative program has been active since 1973 at seven sites: two sites on the main stem of the Mississippi River, three sites on the Atchafalaya River, one site on the Old River Outflow Channel, and one site on the lower Red River above the confluence with the Old River Outflow Channel. The four parameters—suspended-sediment concentration, percent by mass of the sediment that passes through a 0.063-millimeter (US 230) sieve, instantaneous stream discharge, and instantaneous suspended-sediment discharge—reported for 2,895 samples have been modified to reflect the findings of a full review of the cooperative program, which was initiated by both agencies in January 2015. The revised results are for samples collected from October 1989 through February 2015. Ninety-four percent of the revised values for suspended-sediment concentration are lower than their corresponding original reported values, indicating that less suspended sediment moves through the lower Mississippi River system than was previously reported. For example, the median revised instantaneous suspended-sediment discharge at the Mississippi River at Tarbert Landing, Miss. (USGS station 07295100), was 315,000 short tons per day, compared to 378,000 short tons per day as originally reported. At the Atchafalaya River at Simmesport, La. (USGS station 07381490), the median revised suspended-sediment discharge was 105,000 short tons per day, compared to 143,000 short tons per day as originally reported. The systematic downward revision in instantaneous suspended-sediment discharge values was due to a systematic downward revision in the suspended fine (less than 0.063&nbsp;millimeter) sediment concentration. The effect of the revision on the suspended-sand concentration and instantaneous suspended-sand discharge was weaker. Any model of sediment load or transport processes in the basin that uses data from the affected samples should be reevaluated on the basis of the revised results.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185147","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, New Orleans District","usgsCitation":"Norton, K.K., Olsen, L.D., Baumann, T.E., Simmons, L.B., Clark, A.P., Demcheck, D.K., and Johnson, M., 2019, Revisions to suspended-sediment concentration, percent smaller than 0.063 millimeter, and instantaneous suspended-sediment discharge reported for a cooperative program between the U.S. Geological Survey and the U.S. Army Corps of Engineers in the lower Mississippi-Atchafalaya River Basin, October 1989 to February 2015: U.S. Geological Survey Scientific Investigations Report 2018–5147, 232 p., https://doi.org/10.3133/sir20185147.","productDescription":"Report: x, 232 p.; Data Release","numberOfPages":"246","onlineOnly":"N","ipdsId":"IP-088529","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":363738,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5147/coverthb.jpg"},{"id":363739,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5147/sir20185147.pdf","text":"Report","size":"7.47 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018–5147"},{"id":363740,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7K936GW","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Revised Data and Supporting Information for Seven Sites located on the Lower Mississippi and Atchafalaya Rivers sampled as part of a cooperative sediment program with the U.S. Army Corps of Engineers, October 1989 through February 2015"}],"country":"United States","otherGeospatial":"Lower Mississippi basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -91.830936,29.164113 ], [ -91.830936,32.428085 ], [ -89.918735,32.428085 ], [ -89.918735,29.164113 ], [ -91.830936,29.164113 ] ] ] } } ] }","contact":"<p><a data-mce-href=\"https://mail.google.com/mail/?view=cm&amp;fs=1&amp;tf=1&amp;to=gs-w-lmg_director@usgs.gov\" href=\"https://mail.google.com/mail/?view=cm&amp;fs=1&amp;tf=1&amp;to=gs-w-lmg_director@usgs.gov\">Director</a>, <a data-mce-href=\"https://www.usgs.gov/centers/lmg-water\" href=\"https://www.usgs.gov/centers/lmg-water\">Lower Mississippi-Gulf Water Science Center</a> <br>U.S. Geological Survey<br>640 Grassmere Park Drive <br>Nashville, TN 37211<br></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Description of the Cooperative Program</li><li>Critical Review of Field, Laboratory, and Computational Protocols</li><li>Methods Used To Revise Results</li><li>Corrected SSC and Related Results</li><li>Critical Evaluation of Revised Results</li><li>Conclusions</li><li>References Cited</li><li>Appendix 1. U.S. Army Corps of Engineers (USACE) FORTRAN source code for modules used to process laboratory results and compute suspended-sediment load for a cooperative program between the U.S. Geological Survey and the USACE in the lower Mississippi-Atchafalaya River Basin from 1973 to February 2015</li><li>Appendix 2. Example laboratory data sheet used for recording laboratory results for a cooperative program between the U.S. Geological Survey and the U.S. Army Corps of Engineers in the lower Mississippi-Atchafalaya River Basin from 1973 to 2001, which also served as the basis for the Excel spreadsheet that was used from 2001 to February 2015</li><li>Appendix 3. Example 80-column text file (SED file) used as input to the U.S. Army Corps of Engineers (USACE) FORTRAN modules that computed suspended-sediment concentration, particle-size distribution, and suspended-sediment discharge for a cooperative program between the U.S. Geological Survey and the USACE in the lower Mississippi-Atchafalaya River Basin from 1973 to February 2015</li><li>Appendix 4. Corrected and original results for instantaneous stream discharge, suspended-sediment concentration, suspended-sediment percent smaller than 0.0625 millimeter, and suspended-sediment discharge for water samples collected from select sites in the lower Mississippi-Atchafalaya River Basin</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2019-05-16","noUsgsAuthors":false,"publicationDate":"2019-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Norton, Katherine K. 0000-0003-1848-5504","orcid":"https://orcid.org/0000-0003-1848-5504","contributorId":210303,"corporation":false,"usgs":true,"family":"Norton","given":"Katherine","email":"","middleInitial":"K.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":750415,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olsen, Lisa D. 0000-0003-1255-7589 ldolsen@usgs.gov","orcid":"https://orcid.org/0000-0003-1255-7589","contributorId":210304,"corporation":false,"usgs":true,"family":"Olsen","given":"Lisa","email":"ldolsen@usgs.gov","middleInitial":"D.","affiliations":[{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true}],"preferred":true,"id":750416,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baumann, Todd E. 0000-0003-3579-5344","orcid":"https://orcid.org/0000-0003-3579-5344","contributorId":210308,"corporation":false,"usgs":true,"family":"Baumann","given":"Todd","email":"","middleInitial":"E.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":750420,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Simmons, Lane B. 0000-0001-6042-9675","orcid":"https://orcid.org/0000-0001-6042-9675","contributorId":210309,"corporation":false,"usgs":true,"family":"Simmons","given":"Lane","email":"","middleInitial":"B.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":750421,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clark, Athena P. 0000-0001-6087-7099 athclark@usgs.gov","orcid":"https://orcid.org/0000-0001-6087-7099","contributorId":210307,"corporation":false,"usgs":true,"family":"Clark","given":"Athena","email":"athclark@usgs.gov","middleInitial":"P.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":750419,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Demcheck, Dennis K. 0000-0003-2981-078X","orcid":"https://orcid.org/0000-0003-2981-078X","contributorId":210305,"corporation":false,"usgs":true,"family":"Demcheck","given":"Dennis","email":"","middleInitial":"K.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":750417,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Marlon 0000-0002-1493-8548","orcid":"https://orcid.org/0000-0002-1493-8548","contributorId":210306,"corporation":false,"usgs":true,"family":"Johnson","given":"Marlon","email":"","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":750418,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70203552,"text":"70203552 - 2019 - Relationships between regional coastal land cover distributions and elevation reveal data uncertainty in a sea-level rise impacts model","interactions":[],"lastModifiedDate":"2023-03-02T15:46:37.971015","indexId":"70203552","displayToPublicDate":"2019-05-15T09:56:57","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7942,"text":"Earth Surface Dynamics","active":true,"publicationSubtype":{"id":10}},"title":"Relationships between regional coastal land cover distributions and elevation reveal data uncertainty in a sea-level rise impacts model","docAbstract":"Understanding land loss or resilience in response to sea-level rise (SLR) requires spatially extensive and continuous datasets to capture landscape variability.   We investigate sensitivity and skill of a model that predicts dynamic response likelihood to SLR across the northeastern U.S. by exploring several data inputs and outcomes.  Using elevation and land cover datasets, we determine where data error is likely, quantify its effect on predictions, and evaluate its influence on prediction confidence.  Results show data error is concentrated in low-lying areas with little impact on prediction skill, as the inherent correlation between the datasets can be exploited to reduce data uncertainty using Bayesian inference.  This suggests the approach may be extended to regions with limited data availability and/or poor quality.  Furthermore, we verify that model sensitivity in these first-order landscape change assessments is well-matched to larger coastal process uncertainties, for which process-based models are important complements to further reduce uncertainty.","language":"English","publisher":"European Geosciences Union","doi":"10.5194/esurf-7-429-2019","usgsCitation":"Lentz, E.E., Plant, N.G., and Thieler, E.R., 2019, Relationships between regional coastal land cover distributions and elevation reveal data uncertainty in a sea-level rise impacts model: Earth Surface Dynamics, v. 7, p. 429-438, https://doi.org/10.5194/esurf-7-429-2019.","productDescription":"10 p.","startPage":"429","endPage":"438","ipdsId":"IP-097473","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467614,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/esurf-7-429-2019","text":"Publisher Index Page"},{"id":364088,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Lentz, Erika E. 0000-0002-0621-8954 elentz@usgs.gov","orcid":"https://orcid.org/0000-0002-0621-8954","contributorId":173964,"corporation":false,"usgs":true,"family":"Lentz","given":"Erika","email":"elentz@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":763141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plant, Nathaniel G. 0000-0002-5703-5672 nplant@usgs.gov","orcid":"https://orcid.org/0000-0002-5703-5672","contributorId":3503,"corporation":false,"usgs":true,"family":"Plant","given":"Nathaniel","email":"nplant@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":763142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thieler, E. Robert 0000-0003-4311-9717 rthieler@usgs.gov","orcid":"https://orcid.org/0000-0003-4311-9717","contributorId":2488,"corporation":false,"usgs":true,"family":"Thieler","given":"E.","email":"rthieler@usgs.gov","middleInitial":"Robert","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":763143,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70210266,"text":"70210266 - 2019 - Sampling the volatile-rich transition zone beneath Bermuda","interactions":[],"lastModifiedDate":"2020-05-27T13:47:43.535415","indexId":"70210266","displayToPublicDate":"2019-05-15T08:39:39","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"Sampling the volatile-rich transition zone beneath Bermuda","docAbstract":"Intraplate magmatic provinces found away from active plate boundaries, provide direct sampling of the Earth’s mantle composition and heterogeneity. Observed chemical heterogeneities in the mantle are commonly attributed to recycling during subduction1-3, which allows for the addition of volatiles and incompatible elements into the mantle. Although many intraplate volcanoes sample deep mantle reservoirs, possibly at the core-mantle boundary4,5, not all intraplate volcanoes are deep rooted6 and reservoirs in other shallower boundary layers likely participate in magma generation.  Here we present new evidence that suggests that Bermuda sampled a previously unknown mantle domain, characterized by silica under-saturated melts that have significant enrichments in incompatible elements and volatiles, and a unique, extreme isotopic signature. Bermuda records the most radiogenic 206Pb/204Pb isotopes ever documented in an ocean basin (19.9-21.7), coupled with low 207Pb/204Pb (15.5-15.6) and relatively invariant Sr, Nd, and Hf isotopes, suggesting that this source must be <650 Ma.  We interpret the Bermuda source as a new, transient mantle reservoir that resulted from recycling and storage of incompatible elements and volatiles7-10 in the transition zone, aided by the fractionation of Pb by minerals that are only stable in this boundary layer such as K-Hollandite11-12. Recent recycling and storage of material into the transition zone suggests that this reservoir can only be found in the Atlantic Ocean. Our geodynamic models suggest that this layer was sampled by disturbances related to mantle flow. Seismic studies have shown that recycled materials can be stored in the transition zone13. For the first time we show geochemical evidence that this storage is key in the generation of extreme isotopic domains previously thought to be related only to deep recycling.","language":"English","publisher":"Nature","doi":"10.1038/s41586-019-1183-6","usgsCitation":"Mazza, S.E., Gazel, E., Bizmis, M., Moucha, R., Beguelin, P., Johnson, E.A., McAleer, R.J., and Sobolev, A., 2019, Sampling the volatile-rich transition zone beneath Bermuda: Nature, v. 569, p. 398-403, https://doi.org/10.1038/s41586-019-1183-6.","productDescription":"6 p.","startPage":"398","endPage":"403","ipdsId":"IP-102271","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":375070,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Bermuda","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.673828125,\n              21.69826549685252\n            ],\n            [\n              -59.94140624999999,\n              21.69826549685252\n            ],\n            [\n              -59.94140624999999,\n              35.817813158696616\n            ],\n            [\n              -75.673828125,\n              35.817813158696616\n            ],\n            [\n              -75.673828125,\n              21.69826549685252\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"569","noUsgsAuthors":false,"publicationDate":"2019-05-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Mazza, Sarah E. 0000-0001-8091-1186","orcid":"https://orcid.org/0000-0001-8091-1186","contributorId":198664,"corporation":false,"usgs":false,"family":"Mazza","given":"Sarah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":789847,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gazel, Esteban","contributorId":192876,"corporation":false,"usgs":false,"family":"Gazel","given":"Esteban","email":"","affiliations":[],"preferred":false,"id":789848,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bizmis, Michael 0000-0002-4611-6928","orcid":"https://orcid.org/0000-0002-4611-6928","contributorId":198666,"corporation":false,"usgs":false,"family":"Bizmis","given":"Michael","email":"","affiliations":[],"preferred":false,"id":789849,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moucha, Robert","contributorId":173102,"corporation":false,"usgs":false,"family":"Moucha","given":"Robert","email":"","affiliations":[{"id":5082,"text":"Syracuse University","active":true,"usgs":false}],"preferred":false,"id":789850,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beguelin, Paul 0000-0002-1525-2994","orcid":"https://orcid.org/0000-0002-1525-2994","contributorId":224977,"corporation":false,"usgs":false,"family":"Beguelin","given":"Paul","email":"","affiliations":[{"id":37804,"text":"University of South Carolina","active":true,"usgs":false}],"preferred":false,"id":789851,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Elizabeth A. 0000-0001-7244-6122","orcid":"https://orcid.org/0000-0001-7244-6122","contributorId":198665,"corporation":false,"usgs":false,"family":"Johnson","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":789852,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":789853,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sobolev, Alexander 0000-0002-1997-2032","orcid":"https://orcid.org/0000-0002-1997-2032","contributorId":224978,"corporation":false,"usgs":false,"family":"Sobolev","given":"Alexander","email":"","affiliations":[{"id":41013,"text":"Vernadsky Institute, Russian Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":789854,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70187345,"text":"pp1824G - 2019 - Geology and assessment of undiscovered oil and gas resources of the Northwest Canada Interior Basins Province, Arctic Canada","interactions":[{"subject":{"id":70187345,"text":"pp1824G - 2019 - Geology and assessment of undiscovered oil and gas resources of the Northwest Canada Interior Basins Province, Arctic Canada","indexId":"pp1824G","publicationYear":"2019","noYear":false,"chapter":"G","displayTitle":"Geology and Assessment of Undiscovered Oil and Gas Resources of the Northwest Canada Interior Basins Province, Arctic Canada, 2008","title":"Geology and assessment of undiscovered oil and gas resources of the Northwest Canada Interior Basins Province, Arctic Canada"},"predicate":"IS_PART_OF","object":{"id":70193865,"text":"pp1824 - 2017 - The 2008 Circum-Arctic Resource Appraisal ","indexId":"pp1824","publicationYear":"2017","noYear":false,"title":"The 2008 Circum-Arctic Resource Appraisal "},"id":1}],"isPartOf":{"id":70193865,"text":"pp1824 - 2017 - The 2008 Circum-Arctic Resource Appraisal ","indexId":"pp1824","publicationYear":"2017","noYear":false,"title":"The 2008 Circum-Arctic Resource Appraisal "},"lastModifiedDate":"2024-06-26T14:19:47.208944","indexId":"pp1824G","displayToPublicDate":"2019-05-15T08:24:32","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1824","chapter":"G","displayTitle":"Geology and Assessment of Undiscovered Oil and Gas Resources of the Northwest Canada Interior Basins Province, Arctic Canada, 2008","title":"Geology and assessment of undiscovered oil and gas resources of the Northwest Canada Interior Basins Province, Arctic Canada","docAbstract":"<p>The Northwest Canada Interior Basins Province is bounded by the Mackenzie and Richardson Mountains on the southwest and west, by the Eskimo Lakes Arch on the northwest, and by the erosional limit of Paleozoic strata on the east. It lies within the far northwest part of the Paleozoic continent of Laurentia. During early Paleozoic time, it was part of a passive margin formed when the Neoproterozoic supercontinent Rodinia broke apart. A Cambrian marine transgressive sequence gave way to an evaporitic intrashelf basin, succeeded by a westward-building carbonate bank from Late Cambrian through Middle Devonian time. In Late Devonian and early Carboniferous time, the region was buried by a thick succession of south-prograding clastic strata derived from orogenic belts to the northeast and north. A subsequent period of inactivity and erosion persisted until sedimentation resumed as the opening of the Canada Basin initiated an Early Cretaceous marine transgression over much of the region. Later in Cretaceous time, clastic strata derived from Cordilleran uplifts to the southwest began to prograde north, ending with eventual Laramide uplift and deformation in latest Cretaceous and Paleogene time.</p><p>Two petroleum systems are known within the province. A petroleum system in Cambrian to Middle Devonian strata, sourced by alginitic Cambrian shales and sealed by Cambrian evaporites, is proven by modest gas discoveries in the Colville Hills; generation is attributed to burial under the Upper Devonian clastic wedge. An Upper Devonian petroleum system, proven by the presence of the 250-million-barrel Norman Wells field at the southern edge of the province, was sourced by organic-rich shale of the Canol Formation. Generation is similarly inferred to have been driven by burial beneath the Devonian clastic wedge, perhaps augmented locally by additional Cretaceous burial. Potential reservoirs include Devonian reefs and sandstones stratigraphically below and laterally equivalent to the source rocks, as well as overlying sandstones in the clastic wedge. Subordinate source rocks could include organic-rich shales within the clastic wedge.</p><p>Principal risks to the lower Paleozoic petroleum system include (1) inadequate reservoir volume for a field of the minimum size and (2) petroleum loss by remigration caused by Laramide deformation. One lower Paleozoic assessment unit (AU) was quantitatively assessed, with estimated resources of 0 to 117 million barrels of oil (MMBO), mean 23 MMBO; and 0 to 1,364 billion cubic feet of gas (BCFG), mean 310 BCFG. The principle risks to the Devonian petroleum system were considered to be (1) lack of preservation due to extensive erosion before the Cretaceous, and (2) inadequate reservoir volume, because the best potential reservoir strata, Devonian reefs, may be absent throughout most of the province owing to either lack of deposition or erosion. These risks were sufficiently high that the single AU defined in the Devonian petroleum system was not quantitatively assessed, because the chance of a field of the minimum size, 50 million barrels of oil equivalent, was estimated to be only 0.1.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1824G","usgsCitation":"Tennyson, M.E., and Pitman, J.K., 2019, Geology and assessment of undiscovered oil and gas resources of the Northwest Canada Interior Basins Province, Arctic Canada, 2008, chap. G <i>of</i> Moore, T.E., and Gautier, D.L., eds., The 2008 Circum-Arctic Resource Appraisal: U.S. Geological Survey Professional Paper 1824, 18 p., https://doi.org/10.3133/pp1824G.","productDescription":"Report: vi, 18 p.; 2 Appendixes","numberOfPages":"18","ipdsId":"IP-062465","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":363806,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1824/g/pp1824g_appendix2.xls","text":"Appendix 2","size":"60 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Professional Paper 1824 Chapter G","linkHelpText":"– Input data for the Devonian Reefs and Clastic Wedge Assessment Unit"},{"id":363805,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/pp/1824/g/pp1824g_appendix1.xls","text":"Appendix 1","size":"60 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"Professional Paper 1824 Chapter G","linkHelpText":"– Input data for the Lower Paleozoic Subsalt and Carbonate Platform Assessment Unit"},{"id":363804,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1824/g/pp1824g.pdf","text":"Report","size":"3.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Professional Paper 1824 Chapter G"},{"id":363803,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1824/g/coverthb.jpg"}],"country":"Canada","otherGeospatial":"Northwest Canada Interior Basins Province","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -139.482421875,\n              65.5129625532949\n            ],\n            [\n              -118.65234374999999,\n              65.5129625532949\n            ],\n            [\n              -118.65234374999999,\n              70.53954317685509\n            ],\n            [\n              -139.482421875,\n              70.53954317685509\n            ],\n            [\n              -139.482421875,\n              65.5129625532949\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/gmeg/employee-directory\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/gmeg/employee-directory\">Contact Information</a>,&nbsp;<a href=\"https://www.usgs.gov/centers/gmeg\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/gmeg\">Geology, Minerals, Energy, &amp; Geophysics Science Center—Menlo Park</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>345 Middlefield Road<br>Menlo Park, CA 94025-3591<br>FAX 650-329-4936</p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2019-05-15","noUsgsAuthors":false,"publicationDate":"2019-05-15","publicationStatus":"PW","contributors":{"editors":[{"text":"Moore, Thomas E. 0000-0002-0878-0457 tmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-0878-0457","contributorId":127538,"corporation":false,"usgs":true,"family":"Moore","given":"Thomas","email":"tmoore@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":762745,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Gautier, Donald L. gautier@usgs.gov","contributorId":1310,"corporation":false,"usgs":true,"family":"Gautier","given":"Donald","email":"gautier@usgs.gov","middleInitial":"L.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":762746,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Tennyson, Marilyn E. 0000-0002-5166-2421 tennyson@usgs.gov","orcid":"https://orcid.org/0000-0002-5166-2421","contributorId":176582,"corporation":false,"usgs":true,"family":"Tennyson","given":"Marilyn","email":"tennyson@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":693562,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pitman, Janet K. 0000-0002-0441-779X jpitman@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":767,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet","email":"jpitman@usgs.gov","middleInitial":"K.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":693563,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70202717,"text":"70202717 - 2019 - Seed-vectored microbes: Their roles in improving seedling fitness and competitor plant suppression","interactions":[],"lastModifiedDate":"2019-05-15T08:08:36","indexId":"70202717","displayToPublicDate":"2019-05-15T07:59:58","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Seed-vectored microbes: Their roles in improving seedling fitness and competitor plant suppression","docAbstract":"<p>This chapter discusses the role of seed-vectored microbes in modulating seedling development and increasing fitness of plants in terms of increased biotic and abiotic stress tolerance.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":" Seed endophytes: Biology and biotechnology.","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer ","doi":"10.1007/978-3-030-10504-4","usgsCitation":"White, J.F., Kingsley, K.L., Butterworth, S., Brindisi, L., Gatei, J.W., Elmore, M.T., Verma, S.K., Yao, X., and Kowalski, K., 2019, Seed-vectored microbes: Their roles in improving seedling fitness and competitor plant suppression, chap. <i>of</i>  Seed endophytes: Biology and biotechnology., p. 3-20, https://doi.org/10.1007/978-3-030-10504-4.","productDescription":"18 p.","startPage":"3","endPage":"20","ipdsId":"IP-101008","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":363810,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"White, James F.","contributorId":214321,"corporation":false,"usgs":false,"family":"White","given":"James","email":"","middleInitial":"F.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":759630,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kingsley, Kathryn L.","contributorId":203176,"corporation":false,"usgs":false,"family":"Kingsley","given":"Kathryn","email":"","middleInitial":"L.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":759631,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Butterworth, Susan","contributorId":214322,"corporation":false,"usgs":false,"family":"Butterworth","given":"Susan","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":759632,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brindisi, Lara","contributorId":214323,"corporation":false,"usgs":false,"family":"Brindisi","given":"Lara","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":759633,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gatei, Judy W","contributorId":214324,"corporation":false,"usgs":false,"family":"Gatei","given":"Judy","email":"","middleInitial":"W","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":759634,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Elmore, Matthew T.","contributorId":206820,"corporation":false,"usgs":false,"family":"Elmore","given":"Matthew","email":"","middleInitial":"T.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":759635,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Verma, Satish Kumar","contributorId":203175,"corporation":false,"usgs":false,"family":"Verma","given":"Satish","email":"","middleInitial":"Kumar","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":759636,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yao, Xiang","contributorId":214325,"corporation":false,"usgs":false,"family":"Yao","given":"Xiang","email":"","affiliations":[{"id":39011,"text":"Lanzhou University","active":true,"usgs":false}],"preferred":false,"id":759637,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":759629,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70223346,"text":"70223346 - 2019 - Mechanisms underlying increased nest predation in natural gas fields: a test of the mesopredator release hypothesis","interactions":[],"lastModifiedDate":"2021-08-24T12:59:59.567114","indexId":"70223346","displayToPublicDate":"2019-05-15T07:58:03","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Mechanisms underlying increased nest predation in natural gas fields: a test of the mesopredator release hypothesis","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Anthropogenic activities are changing landscapes and the context in which predator–prey dynamics evolved, thereby altering key ecological processes and community structure. Yet, the specific mechanisms underlying such changes are rarely understood. We tested whether a mesopredator release explained increased rodent density and concomitant predation of songbird nests near natural gas development. From 2015 to 2016, we surveyed apex predators (coyotes, badgers, raptors, and corvids) and measured apparent survival and perceived predation risk of deer mice (<i>Peromyscus maniculatus</i>; a primary nest predator), at 12 plots spanning a gradient of surface disturbance caused by energy development in Wyoming, USA. Additionally, we measured densities of three nest predators: deer mice, least chipmunks (<i>Tamias minimus</i>), and thirteen-lined ground squirrels (<i>Ictidomys tridecemlineatus</i>). Contrary to the mesopredator release hypothesis, counts of apex predators and perceived predation risk of deer mice increased with surface disturbance from energy development, whereas apparent survival of mice decreased. Densities of mice and ground squirrels, however, increased with surface disturbance, despite increased predation pressure. We therefore rejected the mesopredator release hypothesis as a potential mechanism underlying altered trophic dynamics near energy development. Our results suggest that apex predator control measures would not benefit declining songbirds on natural gas fields. Rather, apex predator abundance may be regulated from the bottom-up by rodents in this system. Our results corroborate a pattern showing weakened effects of mesopredator release in habitats modified by humans. Understanding how predator–prey dynamics may be altered in novel environments requires an understanding of how predators and prey alike respond to habitat change under different contexts.</p></div></div>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2738","usgsCitation":"Sanders, L., and Chalfoun, A.D., 2019, Mechanisms underlying increased nest predation in natural gas fields: a test of the mesopredator release hypothesis: Ecosphere, v. 10, no. 5, e02738, 17 p., https://doi.org/10.1002/ecs2.2738.","productDescription":"e02738, 17 p.","ipdsId":"IP-102579","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":467615,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2738","text":"Publisher Index Page"},{"id":388412,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-110.048476,40.997555],[-110.121639,40.997101],[-110.125709,40.99655],[-110.237848,40.995427],[-110.250709,40.996089],[-110.375714,40.994947],[-110.500718,40.994746],[-110.539819,40.996346],[-110.715026,40.996347],[-110.750727,40.996847],[-111.046723,40.997959],[-111.046551,41.251716],[-111.0466,41.360692],[-111.046264,41.377731],[-111.045789,41.565571],[-111.045818,41.579845],[-111.046689,42.001567],[-111.047109,42.142497],[-111.047107,42.148971],[-111.047058,42.182672],[-111.047097,42.194773],[-111.047074,42.280787],[-111.04708,42.34942],[-111.046801,42.504946],[-111.046719,42.513118],[-111.046017,42.582723],[-111.043564,42.722624],[-111.044135,42.874924],[-111.043959,42.96445],[-111.043957,42.969482],[-111.043924,42.975063],[-111.044129,43.018702],[-111.044156,43.020052],[-111.044206,43.022614],[-111.044034,43.024581],[-111.044034,43.024844],[-111.044033,43.026411],[-111.044094,43.02927],[-111.043997,43.041415],[-111.044058,43.04464],[-111.044063,43.046302],[-111.044086,43.054819],[-111.044117,43.060309],[-111.04415,43.066172],[-111.044162,43.068222],[-111.044143,43.072364],[-111.044235,43.177121],[-111.044266,43.177236],[-111.044232,43.18444],[-111.044168,43.189244],[-111.044229,43.195579],[-111.044617,43.31572],[-111.045205,43.501136],[-111.045706,43.659112],[-111.04588,43.681033],[-111.046118,43.684902],[-111.046051,43.685812],[-111.04611,43.687848],[-111.046421,43.722059],[-111.046435,43.726545],[-111.04634,43.726957],[-111.046715,43.815832],[-111.046515,43.908376],[-111.046917,43.974978],[-111.047064,43.983467],[-111.047349,43.999921],[-111.049077,44.020072],[-111.048751,44.060403],[-111.048751,44.060838],[-111.048633,44.062903],[-111.048452,44.114831],[-111.049119,44.124923],[-111.049695,44.353626],[-111.049148,44.374925],[-111.049216,44.435811],[-111.049194,44.438058],[-111.048974,44.474072],[-111.055208,44.624927],[-111.055333,44.666263],[-111.055511,44.725343],[-111.056416,44.749928],[-111.056888,44.866658],[-111.055629,44.933578],[-111.056207,44.935901],[-111.055199,45.001321],[-111.044275,45.001345],[-110.785008,45.002952],[-110.761554,44.999934],[-110.750767,44.997948],[-110.705272,44.992324],[-110.552433,44.992237],[-110.547165,44.992459],[-110.48807,44.992361],[-110.402927,44.99381],[-110.362698,45.000593],[-110.342131,44.999053],[-110.324441,44.999156],[-110.28677,44.99685],[-110.199503,44.996188],[-110.110103,45.003905],[-110.026347,45.003665],[-110.025544,45.003602],[-109.99505,45.003174],[-109.875735,45.003275],[-109.798687,45.002188],[-109.75073,45.001605],[-109.663673,45.002536],[-109.574321,45.002631],[-109.386432,45.004887],[-109.375713,45.00461],[-109.269294,45.005283],[-109.263431,45.005345],[-109.103445,45.005904],[-109.08301,44.99961],[-109.062262,44.999623],[-108.621313,45.000408],[-108.578484,45.000484],[-108.565921,45.000578],[-108.500679,44.999691],[-108.271201,45.000251],[-108.249345,44.999458],[-108.238139,45.000206],[-108.218479,45.000541],[-108.14939,45.001062],[-108.000663,45.001223],[-107.997353,45.001565],[-107.911743,45.001292],[-107.750654,45.000778],[-107.608854,45.00086],[-107.607824,45.000929],[-107.49205,45.00148],[-107.351441,45.001407],[-107.13418,45.000109],[-107.125633,44.999388],[-107.105685,44.998734],[-107.084939,44.996599],[-107.074996,44.997004],[-107.050801,44.996424],[-106.892875,44.995947],[-106.888773,44.995885],[-106.263586,44.993788],[-106.024814,44.993688],[-105.928184,44.993647],[-105.914258,44.999986],[-105.913382,45.000941],[-105.848065,45.000396],[-105.076607,45.000347],[-105.038405,45.000345],[-105.025266,45.00029],[-105.019284,45.000329],[-105.01824,45.000437],[-104.765063,44.999183],[-104.759855,44.999066],[-104.72637,44.999518],[-104.665171,44.998618],[-104.663882,44.998869],[-104.470422,44.998453],[-104.470117,44.998453],[-104.250145,44.99822],[-104.057698,44.997431],[-104.055914,44.874986],[-104.056496,44.867034],[-104.055963,44.768236],[-104.055963,44.767962],[-104.055934,44.72372],[-104.05587,44.723422],[-104.055777,44.700466],[-104.055938,44.693881],[-104.05581,44.691343],[-104.055877,44.571016],[-104.055892,44.543341],[-104.055927,44.51773],[-104.055389,44.249983],[-104.054487,44.180381],[-104.054562,44.141081],[-104.05495,43.93809],[-104.055077,43.936535],[-104.055488,43.853477],[-104.055488,43.853476],[-104.055138,43.750421],[-104.055133,43.747105],[-104.054902,43.583852],[-104.054885,43.583512],[-104.05484,43.579368],[-104.055032,43.558603],[-104.054787,43.503328],[-104.054786,43.503072],[-104.054779,43.477815],[-104.054766,43.428914],[-104.054614,43.390949],[-104.054403,43.325914],[-104.054218,43.30437],[-104.053884,43.297047],[-104.053876,43.289801],[-104.053127,43.000585],[-104.052863,42.754569],[-104.052809,42.749966],[-104.052583,42.650062],[-104.052741,42.633982],[-104.052586,42.630917],[-104.052773,42.611766],[-104.052775,42.61159],[-104.052775,42.610813],[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 \"}}]}","volume":"10","issue":"5","noUsgsAuthors":false,"publicationDate":"2019-05-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Sanders, Lindsey E.","contributorId":264650,"corporation":false,"usgs":false,"family":"Sanders","given":"Lindsey E.","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":821812,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chalfoun, Anna D. 0000-0002-0219-6006 achalfoun@usgs.gov","orcid":"https://orcid.org/0000-0002-0219-6006","contributorId":197589,"corporation":false,"usgs":true,"family":"Chalfoun","given":"Anna","email":"achalfoun@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":821811,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70208939,"text":"70208939 - 2019 - Investigating (a)symmetry in a small mammal’s response to warmingand cooling events across western North America over the late Quaternary","interactions":[],"lastModifiedDate":"2020-03-06T06:54:36","indexId":"70208939","displayToPublicDate":"2019-05-15T06:52:26","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"Investigating (a)symmetry in a small mammal’s response to warmingand cooling events across western North America over the late Quaternary","docAbstract":"Many mammalian populations conform spatially and temporally to Bergmann’s rule. This ecogeographic pattern is driven by selection for larger body masses by cooler temperatures and smaller ones by warming temperatures. However, it is unclear whether the response to warming or cooling temperatures is (a)symmetrical. Studies of the evolutionary record suggest that\nmammals evolve smaller body sizes more rapidly than larger ones, suggesting that it may be “easier” to adapt to warmingclimates than cooling ones. Here, we examine the potential asymmetrical response of mammals to past temperature fluctuations.We use the fossil midden record of the bushy-tailed woodrat, Neotoma cinerea, a well-studied animal that generally\nconforms to Bergmann’s rule, to test the ability of populations to respond to warming versus cooling climate throughout its modern range in western North America over the late Quaternary.We quantified the response to temperature change, as characterized by the Greenland Ice Sheet Project 2 temperature record, using N. cinerea presence/absence and “darwins.” Ourresults show that populations within the modern range of N. cinerea show little difference between warming and cooling events. However, northern, peripheral populations are absent during older, cooler periods, possibly due to climate or taphonomy. Our study suggests adaptation in situ may be an underestimated response to future climate change.","language":"English","publisher":"Cambridge University Press","doi":"10.1017/qua.2019.13","usgsCitation":"Balk, M.A., Betancourt, J.L., and Smith, F.A., 2019, Investigating (a)symmetry in a small mammal’s response to warmingand cooling events across western North America over the late Quaternary: Quaternary Research, v. 92, no. 2, p. 408-415, https://doi.org/10.1017/qua.2019.13.","productDescription":"8 p.","startPage":"408","endPage":"415","ipdsId":"IP-090948","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":372988,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {\n        \"stroke\": \"#555555\",\n        \"stroke-width\": 2,\n        \"stroke-opacity\": 1,\n        \"fill\": \"#555555\",\n        \"fill-opacity\": 0.5\n      },\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -125.85937499999999,\n              36.73888412439431\n            ],\n            [\n              -97.91015624999999,\n              10.833305983642491\n            ],\n            [\n              -77.6953125,\n              8.75479470243563\n            ],\n            [\n              -79.27734375,\n              26.115985925333536\n            ],\n            [\n              -47.8125,\n              49.49667452747047\n            ],\n            [\n              -87.53906250000001,\n              69.83962194067463\n            ],\n            [\n              -137.109375,\n              70.61261423801925\n            ],\n            [\n              -161.54296875,\n              71.58053179556501\n            ],\n            [\n              -165.234375,\n              65.07213008560697\n            ],\n            [\n              -160.3125,\n              56.17002298293205\n            ],\n            [\n              -135.703125,\n              57.70414723434193\n            ],\n            [\n              -125.85937499999999,\n              36.73888412439431\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"92","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Balk, Meghan A.","contributorId":223098,"corporation":false,"usgs":false,"family":"Balk","given":"Meghan","email":"","middleInitial":"A.","affiliations":[{"id":40673,"text":"Smithsonian Institution, National Museum of Natural History","active":true,"usgs":false}],"preferred":false,"id":784109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":784108,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Felisa A.","contributorId":194657,"corporation":false,"usgs":false,"family":"Smith","given":"Felisa","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":784110,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70203445,"text":"70203445 - 2019 - Assessing morphologic controls on atoll island alongshore sediment transport gradients due to future sea-level rise","interactions":[],"lastModifiedDate":"2019-05-15T07:24:28","indexId":"70203445","displayToPublicDate":"2019-05-14T13:57:39","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":"Assessing morphologic controls on atoll island alongshore sediment transport gradients due to future sea-level rise","docAbstract":"<div class=\"JournalAbstract\"><p class=\"mb0\">Atoll islands’ alongshore sediment transport gradients depend on how island and reef morphology affect incident wave energy. It is unclear, though, how potential atoll morphologic configurations influence shoreline erosion and/or accretion patterns, and how these relationships will respond to future sea-level rise (SLR). Schematic atoll models with varying morphologies were used to evaluate the relative control of individual morphological parameters on alongshore transport gradients. Incident wave transformations were simulated using a physics-based numerical model and alongshore erosion and accretion was calculated using empirical formulae. The magnitude of the transport gradients increased with SLR: initial erosion or accretion patterns intensified. Modeled morphologic parameters that significantly influenced alongshore transport were the atoll diameter, reef flat width, reef flat depth, and island width. Modeled atolls with comparably small diameters, narrow and deep reef flats with narrow islands displayed greater magnitudes of erosion and/or accretion, especially with SLR. Windward island shorelines are projected to accrete toward the island’s longitudinal ends and lagoon due to SLR, whereas leeward islands erode along lagoon shorelines and extend toward the island ends. Oblique island, oriented parallel to the incident deepwater wave direction, shorelines are forecast to build out leeward along the reef rim and toward the lagoon while eroding along regions exposed to direct wave attack. These findings make it possible to evaluate the relative risk of alongshore erosion/accretion on atolls due to SLR in a rapid, first-order analysis.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/fmars.2019.00245","usgsCitation":"Shope, J.B., and Storlazzi, C.D., 2019, Assessing morphologic controls on atoll island alongshore sediment transport gradients due to future sea-level rise: Frontiers in Marine Science, 13 p., https://doi.org/10.3389/fmars.2019.00245.","productDescription":"13 p.","ipdsId":"IP-091313","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":460383,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2019.00245","text":"Publisher Index Page"},{"id":437462,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9U28JFO","text":"USGS data release","linkHelpText":"Physics-based numerical model simulations of wave propagation over and around theoretical atoll and island morphologies for sea-level rise scenarios"},{"id":363796,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":363785,"type":{"id":15,"text":"Index Page"},"url":"https://www.frontiersin.org/articles/10.3389/fmars.2019.00245/full"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Shope, James B.","contributorId":135949,"corporation":false,"usgs":false,"family":"Shope","given":"James","email":"","middleInitial":"B.","affiliations":[{"id":10653,"text":"University of California at Santa Cruz, Earth and Planetary Science Department","active":true,"usgs":false}],"preferred":false,"id":762734,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 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":762733,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70215205,"text":"70215205 - 2019 - Selecting ecological models using multi-objective optimization","interactions":[],"lastModifiedDate":"2020-10-12T14:48:53.816754","indexId":"70215205","displayToPublicDate":"2019-05-14T09:46:38","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Selecting ecological models using multi-objective optimization","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0010\" class=\"abstract author\"><div id=\"abst0010\"><p id=\"spar0030\"><span>Choices in ecological research and&nbsp;natural resource management&nbsp;require balancing multiple, often competing objectives. Examples include maximizing species persistence in a wildlife conservation context, while minimizing cost, or balancing opposing stakeholder objectives when managing wildlife populations.&nbsp;</span><i>Multiple-objective optimization</i><span>&nbsp;(MOO) provides a unifying framework for solving multiple objective problems. Model selection is a critical component of ecological inference and prediction and requires balancing the competing objectives of model fit and model complexity. The tradeoff between model fit and model complexity provides a basis for describing the model-selection problem within the MOO framework. We discuss MOO and two strategies for solving the MOO problem; modeling preferences pre-optimization and post-optimization. Most conventional model selection methods can be formulated as solutions of MOO problems via specification of pre-optimization preferences. We reconcile model selection within the MOO framework. We also consider model selection using post-optimization specification of preferences. That is, by first identifying Pareto optimal solutions, and then selecting among them. We demonstrate concepts with an ecological application of model selection using avian&nbsp;species richness&nbsp;data in the continental United States.</span></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.ecolmodel.2019.04.012","usgsCitation":"Williams, P.J., Kendall, W.L., and Hooten, M., 2019, Selecting ecological models using multi-objective optimization: Ecological Modelling, v. 404, p. 21-26, https://doi.org/10.1016/j.ecolmodel.2019.04.012.","productDescription":"6 p.","startPage":"21","endPage":"26","ipdsId":"IP-091716","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":379306,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": 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              48.37971\n              ],\n              [\n                -123.12,\n                48.04\n              ],\n              [\n                -122.58736,\n                47.096\n              ],\n              [\n                -122.34,\n                47.36\n              ],\n              [\n                -122.5,\n                48.18\n              ],\n              [\n                -122.84,\n                49\n              ],\n              [\n                -120,\n                49\n              ],\n              [\n                -117.03121,\n                49\n              ],\n              [\n                -116.04818,\n                49\n              ],\n              [\n                -113,\n                49\n              ],\n              [\n                -110.05,\n                49\n              ],\n              [\n                -107.05,\n                49\n              ],\n              [\n                -104.04826,\n       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Refuge","active":true,"usgs":false}],"preferred":false,"id":801186,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, William L. 0000-0003-0084-9891","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":204844,"corporation":false,"usgs":true,"family":"Kendall","given":"William","email":"","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":801187,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false}],"preferred":true,"id":801188,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70203527,"text":"70203527 - 2019 - Linking management planning for coastal wetlands to potential future wave attenuation under a range of relative sea-level rise scenarios","interactions":[],"lastModifiedDate":"2019-08-16T11:55:03","indexId":"70203527","displayToPublicDate":"2019-05-14T08:32:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Linking management planning for coastal wetlands to potential future wave attenuation under a range of relative sea-level rise scenarios","docAbstract":"<div class=\"abstract toc-section\"><p>Understanding changes in wave attenuation by emergent vegetation as wetlands degrade or accrete over time is crucial for incorporation of wetlands into holistic coastal risk management. Linked SLAMM and XBeach models were used to investigate potential future changes in wave attenuation over a 50-year period in a degrading, subtropical wetland and a prograding, temperate wetland. These contrasting systems also have differing management contexts and were contrasted to demonstrate how the linked models can provide management-relevant insights. Morphological development of wetlands for different scenarios of sea-level rise and accretion was simulated with SLAMM and then coupled with different vegetation characteristics to predict the influence on future wave attenuation using XBeach. The geomorphological context, subsidence, and accretion resulted in large predicted reductions in the extent of vegetated land (e.g., wetland) and changes in wave height reduction potential across the wetland. These were exacerbated by increases in sea-level from +0.217 m to +0.386 m over a 50-year period, especially at the lowest accretion rates in the degrading wetland. Mangrove vegetation increased wave attenuation within the degrading, subtropical, saline wetland, while grazing reduced wave attenuation in the temperate, prograding wetland. Coastal management decisions and actions, related to coastal vegetation type and structure, have the potential to change future wave attenuation at a spatial scale relevant to coastal protection planning. Therefore, a coastal management approach that includes disaster risk reduction, biodiversity, and climate change, can be informed by coastal modeling tools, such as those demonstrated here for two contrasting case studies.</p></div>","language":"English","publisher":"PLoS ONE","doi":"10.1371/journal.pone.0216695","usgsCitation":"Hijuelos, A., Dijkstra, J., Carruthers, T., Heynert, K., Reed, D., and van Wesenbeeck, B., 2019, Linking management planning for coastal wetlands to potential future wave attenuation under a range of relative sea-level rise scenarios: PLoS ONE, v. 14, no. 5, p. 1-19, https://doi.org/10.1371/journal.pone.0216695.","productDescription":"19 p.","startPage":"1","endPage":"19","ipdsId":"IP-097253","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":467617,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0216695","text":"Publisher Index Page"},{"id":364019,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"5","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Hijuelos, Ann 0000-0003-0922-6754","orcid":"https://orcid.org/0000-0003-0922-6754","contributorId":215694,"corporation":false,"usgs":true,"family":"Hijuelos","given":"Ann","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":763011,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dijkstra, Jasper","contributorId":215695,"corporation":false,"usgs":false,"family":"Dijkstra","given":"Jasper","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":763012,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carruthers, Tim J. B.","contributorId":140566,"corporation":false,"usgs":false,"family":"Carruthers","given":"Tim J. B.","affiliations":[],"preferred":false,"id":763013,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Heynert, Karel","contributorId":215696,"corporation":false,"usgs":false,"family":"Heynert","given":"Karel","email":"","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":763014,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reed, Denise","contributorId":215697,"corporation":false,"usgs":false,"family":"Reed","given":"Denise","affiliations":[{"id":37245,"text":"University of New Orleans","active":true,"usgs":false}],"preferred":false,"id":763015,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"van Wesenbeeck, Bregje","contributorId":215698,"corporation":false,"usgs":false,"family":"van Wesenbeeck","given":"Bregje","email":"","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":763016,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70220452,"text":"70220452 - 2019 - The benthic foraminifera cassidulina from the Arctic Ocean: Application to paleoceanography and biostratigraphy","interactions":[],"lastModifiedDate":"2021-05-14T12:59:19.335355","indexId":"70220452","displayToPublicDate":"2019-05-14T07:55:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2735,"text":"Micropaleontology","active":true,"publicationSubtype":{"id":10}},"title":"The benthic foraminifera cassidulina from the Arctic Ocean: Application to paleoceanography and biostratigraphy","docAbstract":"<p><span>We investigated the morphology, biostratigraphy, shell stable isotope composition and paleogeography of the common Arctic benthic foraminifera, Cassidulina teretis (Tappan 1951) (sometimes assigned to Islandiella (Nørvang 1958), for application to Quaternary paleoceanography. Cassidulina teretis, which has been studied by several generations of Arctic foraminiferal specialists, is used in Arctic Ocean paleoceanographic reconstructions based on foraminiferal assemblages and, increasingly, isotope shell chemistry. Here we review its modern and fossil distribution including discussions of its taxonomy, ecology, biostratigraphy and shell chemistry. Cassidulina teretis Tappan 1951, originally described from the Gubik Formation, northern Alaska coastal plain, has variability in test size, apertural morphology and development of an umbilical boss representing intra- and inter-population differences across the Arctic and subarctic in modern, Quaternary and Pliocene assemblages. Nonetheless, our studies and those previously published lead us to conclude that populations from the Arctic Ocean represent a single species proposed by Tappan as Cassidulina teretis. Its modern distribution is mainly 200 to 1000 m water depth, often living within the core of the relatively warm Atlantic Layer. However, shallower occurrences suggest other factors, such as food supply, are also critical to its ecology. The Holocene distribution of Cassidulina teretis in the Beaufort Sea boundary indicate millennial-scale changes in relative abundance related to changing Atlantic Layer influence, sea-ice cover, surface productivity and food availability. There are extremely large changes in its abundance during the last deglacial interval on the Yermak Plateau, Barents Sea slope and the Laptev Sea reflecting rapid ocean changes during the Bølling-Allerød, Younger Dryas, and Preboreal. Similarly, C. teretis abundance changes during the last 300,000 years allow us to use it, at least regionally, as a useful biostratigraphic marker. The stable isotopic composition of Cassidulina teretis tests holds promise for establishing an isotope stratigraphy across the Arctic Ocean and perhaps also in the Nordic Seas, off Iceland and in the northern North Atlantic Ocean, once disequilibrium values and offsets from other Arctic benthic species are more firmly established.</span></p>","language":"English","publisher":"Micro Press","usgsCitation":"Cronin, T.M., Seidenstein, J., Keller, K., McDougall-Reid, K., Reufer, A., and Gemery, L., 2019, The benthic foraminifera cassidulina from the Arctic Ocean: Application to paleoceanography and biostratigraphy: Micropaleontology, v. 65, no. 2, p. 105-125.","productDescription":"21 p.","startPage":"105","endPage":"125","ipdsId":"IP-097014","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":385640,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":385617,"type":{"id":15,"text":"Index Page"},"url":"https://www.micropress.org/microaccess/micropaleontology/issue-347/article-2119"}],"volume":"65","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":815570,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Seidenstein, Julia","contributorId":243162,"corporation":false,"usgs":false,"family":"Seidenstein","given":"Julia","affiliations":[],"preferred":false,"id":815571,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keller, Katherine 0000-0001-6915-5455","orcid":"https://orcid.org/0000-0001-6915-5455","contributorId":218048,"corporation":false,"usgs":false,"family":"Keller","given":"Katherine","email":"","affiliations":[{"id":39732,"text":"Natural Systems Analysts, Harvard University","active":true,"usgs":false}],"preferred":false,"id":815572,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McDougall-Reid, Kristin 0000-0002-8788-3664","orcid":"https://orcid.org/0000-0002-8788-3664","contributorId":216211,"corporation":false,"usgs":true,"family":"McDougall-Reid","given":"Kristin","email":"","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":815573,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reufer, Ana","contributorId":258025,"corporation":false,"usgs":false,"family":"Reufer","given":"Ana","email":"","affiliations":[{"id":16809,"text":"James Madison University","active":true,"usgs":false}],"preferred":false,"id":815574,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gemery, Laura 0000-0003-1966-8732 lgemery@usgs.gov","orcid":"https://orcid.org/0000-0003-1966-8732","contributorId":5402,"corporation":false,"usgs":true,"family":"Gemery","given":"Laura","email":"lgemery@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":815645,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70203953,"text":"70203953 - 2019 - Species insurance trumps spatial insurance in stabilizing biomass of a marine macroalgal metacommunity","interactions":[],"lastModifiedDate":"2019-08-13T15:55:47","indexId":"70203953","displayToPublicDate":"2019-05-13T17:13:16","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Species insurance trumps spatial insurance in stabilizing biomass of a marine macroalgal metacommunity","docAbstract":"<p><span>Because natural ecosystems are complex, it is difficult to predict how their variability scales across space and levels of organization. The species‐insurance hypothesis predicts that asynchronous dynamics among species should reduce variability when biomass is aggregated either from local species populations to local multispecies communities, or from metapopulations to metacommunities. Similarly, the spatial‐insurance hypothesis predicts that asynchronous spatial dynamics among either local populations or local communities should stabilize metapopulation biomass and metacommunity biomass, respectively. In combination, both species and spatial insurance reduce variation in metacommunity biomass over time, yet these insurances are rarely considered together in natural systems. We partitioned the extent that species insurance and spatial insurance reduced the annual variation in macroalgal biomass in a southern California kelp forest. We quantified variability and synchrony at two levels of organization (population and community) and two spatial scales (local plots and region) and quantified the strength of species and spatial insurance by comparing observed variability and synchrony in aggregate biomass to null models of independent species or spatial dynamics based on cyclic‐shift permutation. Spatial insurance was weak, presumably because large‐scale oceanographic processes in the study region led to high spatial synchrony at both population‐ and community‐level biomass. Species insurance was stronger due to asynchronous dynamics among the metapopulations of a few common species. In particular, a regional decline in the dominant understory kelp species&nbsp;</span><i>Pterygophora californica</i><span>&nbsp;was compensated for by the rise of three subdominant species. These compensatory dynamics were associated with positive values of the Pacific Decadal Oscillation, indicating that differential species tolerances to warmer temperature and nutrient‐poor conditions may underlie species insurance in this system. Our results illustrate how species insurance can stabilize aggregate community properties in natural ecosystems where environmental conditions vary over broad spatial scales.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.2719","usgsCitation":"Lamy, T., Wang, S., Renard, D., Lafferty, K.D., Reed, D.C., and Miller, R.J., 2019, Species insurance trumps spatial insurance in stabilizing biomass of a marine macroalgal metacommunity: Ecology, v. 100, no. 2, e02719, 10 p., https://doi.org/10.1002/ecy.2719.","productDescription":"e02719, 10 p.","ipdsId":"IP-104448","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":364980,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"100","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Lamy, Thomas","contributorId":203605,"corporation":false,"usgs":false,"family":"Lamy","given":"Thomas","email":"","affiliations":[{"id":36524,"text":"University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":764934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Shaopeng","contributorId":216516,"corporation":false,"usgs":false,"family":"Wang","given":"Shaopeng","email":"","affiliations":[{"id":39466,"text":"Peking University, Beijing","active":true,"usgs":false}],"preferred":false,"id":764935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Renard, Delphine","contributorId":216517,"corporation":false,"usgs":false,"family":"Renard","given":"Delphine","email":"","affiliations":[{"id":36524,"text":"University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":764936,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lafferty, Kevin D. 0000-0001-7583-4593 klafferty@usgs.gov","orcid":"https://orcid.org/0000-0001-7583-4593","contributorId":1415,"corporation":false,"usgs":true,"family":"Lafferty","given":"Kevin","email":"klafferty@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":764933,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reed, Daniel C.","contributorId":203607,"corporation":false,"usgs":false,"family":"Reed","given":"Daniel","email":"","middleInitial":"C.","affiliations":[{"id":36524,"text":"University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":764937,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, Robert J.","contributorId":176277,"corporation":false,"usgs":false,"family":"Miller","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":764938,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70202335,"text":"ofr20191016 - 2019 - Analysis for agreement of the Northern Gulf of Mexico topobathymetric digital elevation model with 3-Dimensional Elevation Program 1/3 arc-second digital elevation models","interactions":[],"lastModifiedDate":"2019-05-14T11:43:13","indexId":"ofr20191016","displayToPublicDate":"2019-05-13T11:35:20","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1016","displayTitle":"Analysis for Agreement of the Northern Gulf of Mexico Topobathymetric Digital Elevation Model with 3-Dimensional Elevation Program 1/3 Arc-Second Digital Elevation Models","title":"Analysis for agreement of the Northern Gulf of Mexico topobathymetric digital elevation model with 3-Dimensional Elevation Program 1/3 arc-second digital elevation models","docAbstract":"<p>Topographical differencing and edge-matching analyses were used to evaluate agreement of the Coastal National Elevation Database Applications Project’s Northern Gulf of Mexico topobathymetric digital elevation model (TBDEM) with The National Map 3-Dimensional Elevation Program (3DEP) 1/3 arc-second digital elevation models (DEMs). In addition to topographic map products provided through the National Geospatial Program, the model integrates bathymetric and topobathymetric datasets for three-dimensional (3D) mapping of rivers, lakes, and bays in the upland and intertidal wetlands to offshore environments in coastal zones from the border between Texas and Louisiana to east of Mobile Bay, Alabama.</p><p>Contoured elevation differences between the Northern Gulf of Mexico TBDEM and the 3DEP 1/3 arc-second DEMs indicate that 85 percent of elevation data in the Northern Gulf of Mexico TBDEM agree (no difference for contoured elevations) between 95 and 100 percent with 3DEP 1/3 arc-second DEMs. Edge matching differences between adjacent Northern Gulf of Mexico TBDEM source projects or between the TBDEM and 3DEP DEMs indicate most seams between integrated and 3DEP DEMs are smooth. Where seams did not match, most differences were in the range of tenths to hundredths of a meter. Valid differences that are greater than plus or minus 2 meters in areas of bathymetric data are found in the Mississippi River, Atchafalaya River, Lower Atchafalaya River, Wax Lake Pass channel, the Vermilion Bay bathymetric datasets, and where topobathymetric datasets are integrated in the model. Areas with positive or negative outlier difference elevations seem to be a result of site conditions that affect light detection and ranging (lidar) waveform return signals, misclassification of surface features, or possibly because of interpolation required to develop a smooth elevation surface. Results of this analysis provide information to help understand model parameters and agreement of the Northern Gulf of Mexico TBDEM developed using different data types from different sources with The National Map 3DEP DEMs.</p><p>Inclusion of bathymetric and topobathymetric data types in the 3DEP aligns with the mission to respond to growing needs for a wide range of three-dimensional representations of the Nation and supports the U.S. Geological Survey strategy for developing a National Terrain Model to provide hydrographic and elevation data that extend the elevation surface below water bodies. The 3D Nation Requirements and Benefits Study sponsored by the U.S. Geological Survey and National Oceanic and Atmospheric Administration to assess local to regional Tribal, State, and Federal technical requirements, needs, and benefits for using topographic and bathymetric 3DEP elevation data will be used to help develop and refine future program alternatives for 3D elevation data that include a category for bathymetry and topobathymetry. At the time of this report (2019), 3DEP acquisition is specific to topographic lidar that meets lidar DEM specifications and which requires surface-water feature areas to be hydroflattened. Cataloging bathymetric and topobathymetric DEMs as part of the 3DEP will require new specifications for acoustic, lidar, merged acoustic and lidar, and possibly other bathymetric and topobathymetric survey data types.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191016","usgsCitation":"Miller-Corbett, C., 2019, Analysis for agreement of the Northern Gulf of Mexico topobathymetric digital elevation model with 3-Dimensional Elevation Program 1/3 arc-second digital elevation models: U.S. Geological Survey Open-File Report 2019–1016, 44 p., https://doi.org/10.3133/ofr20191016.","productDescription":"vi, 43 p.","numberOfPages":"54","onlineOnly":"Y","ipdsId":"IP-081383","costCenters":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"links":[{"id":363655,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1016/ofr20191016.pdf","text":"Report","size":"16.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1016"},{"id":363654,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1016/coverthb.jpg"}],"country":"United States","state":"Alabama, Florida, Louisiana, Mississippi, Texas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.48193359375,\n              28.43971381702788\n            ],\n            [\n              -84.13330078125,\n              28.43971381702788\n            ],\n            [\n              -84.13330078125,\n              31.39115752282472\n            ],\n            [\n              -96.48193359375,\n              31.39115752282472\n            ],\n            [\n              -96.48193359375,\n              28.43971381702788\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/core-science-systems/ngp/ngtoc\" href=\"https://www.usgs.gov/core-science-systems/ngp/ngtoc\">National Geospatial Technical Operations Center</a><br>U.S. Geological Survey<br>1400 Independence Road<br>Rolla, MO 65401</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Study Area</li><li>Topobathymetric Digital Elevation Model Datasets</li><li>Methods</li><li>Results—Digital Elevation Model Matches and Differences</li><li>Summary</li><li>Conclusion</li><li>References</li><li>Appendix</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2019-05-13","noUsgsAuthors":false,"publicationDate":"2019-05-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Miller-Corbett, Cynthia 0000-0002-9740-2502 cmcorbet@usgs.gov","orcid":"https://orcid.org/0000-0002-9740-2502","contributorId":203758,"corporation":false,"usgs":true,"family":"Miller-Corbett","given":"Cynthia","email":"cmcorbet@usgs.gov","affiliations":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"preferred":true,"id":757880,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70216495,"text":"70216495 - 2019 - Managing for multiple species: Greater sage‐grouse and sagebrush songbirds","interactions":[],"lastModifiedDate":"2021-03-19T20:28:36.624533","indexId":"70216495","displayToPublicDate":"2019-05-13T10:58:31","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Managing for multiple species: Greater sage‐grouse and sagebrush songbirds","docAbstract":"<p><span>Human activity has altered 33–50% of Earth's surface, including temperate grasslands and sagebrush rangelands, resulting in a loss of biodiversity. By promoting habitat for sensitive or wide‐ranging species, less exigent species may be protected in an umbrella effect. The greater sage‐grouse (</span><i>Centrocercus urophasianus</i><span>; sage‐grouse) has been proposed as an umbrella for other sagebrush‐obligate species because it has an extensive range that overlaps with many other species, it is sensitive to anthropogenic activity, it requires resources over large landscapes, and its habitat needs are known. The efficacy of the umbrella concept, however, is often assumed and rarely tested. Therefore, we surveyed sage‐grouse pellet occurrence and sagebrush‐associated songbird abundance in northwest Colorado, USA, to determine the amount of habitat overlap between sage‐grouse and 4 songbirds (Brewer's sparrow [</span><i>Spizella breweri</i><span>], sage thrasher [</span><i>Oreoscoptes montanus</i><span>], sagebrush sparrow [</span><i>Artemisiospiza nevadensis</i><span>]), and green‐tailed towhee [</span><i>Pipilo chlorurus</i><span>]). During May and June 2013–2015, we conducted standard point count breeding surveys for songbirds and counted sage‐grouse pellets within 300 10‐m radius plots. We modeled songbird abundance and sage‐grouse pellet occurrence with multi‐scaled environmental features, such as sagebrush cover and bare ground. To evaluate sage‐grouse as an umbrella for sagebrush‐associated passerines, we determined the correlation between probability of sage‐grouse pellet occurrence and model‐predicted songbird densities per sampling plot. We then classified the sage‐grouse probability of occurrence as high (probability &gt;0.5) and low (probability ≤0.5) and mapped model‐predicted surfaces for each species in our study area. We determined average songbird density in areas of high and low probability of sage‐grouse occurrence. Sagebrush cover at intermediate scales was an important predictor for all species, and ground cover was important for all species except sage thrashers. Areas with a higher probability of sage‐grouse occurrence also contained higher densities of Brewer's sparrows, green‐tailed towhees, and sage thrashers, but predicted sagebrush sparrow densities were lower in these areas. In northwest Colorado, sage‐grouse may be an effective umbrella for Brewer's sparrows, green‐tailed towhees, and sage thrashers, but sage‐grouse habitat does not appear to capture areas that support high sagebrush sparrow densities. A multi‐species focus may be the best management and conservation strategy for several species of concern, especially those with conflicting habitat requirements.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21663","usgsCitation":"Timmer, J.M., Aldridge, C.L., and Fernandez-Gimenez, M., 2019, Managing for multiple species: Greater sage‐grouse and sagebrush songbirds: Journal of Wildlife Management, v. 83, no. 5, p. 1043-1056, https://doi.org/10.1002/jwmg.21663.","productDescription":"14 p.","startPage":"1043","endPage":"1056","ipdsId":"IP-104297","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":380700,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","county":"Moffat County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-107.3181,41.0035],[-107.3178,40.9852],[-107.3177,40.9789],[-107.3175,40.9707],[-107.3171,40.9503],[-107.317,40.9412],[-107.3173,40.929],[-107.3171,40.9145],[-107.3167,40.8596],[-107.3166,40.856],[-107.3157,40.8378],[-107.3145,40.7748],[-107.3144,40.7716],[-107.3131,40.7013],[-107.3131,40.699],[-107.3128,40.6854],[-107.3126,40.6723],[-107.3121,40.6142],[-107.3119,40.5997],[-107.3688,40.5996],[-107.3683,40.5429],[-107.427,40.5427],[-107.427,40.5132],[-107.4276,40.4238],[-107.4294,40.3612],[-107.4297,40.3467],[-107.43,40.3322],[-107.4402,40.3321],[-107.4382,40.2618],[-107.4389,40.2235],[-107.4396,40.219],[-107.7614,40.2214],[-107.8192,40.2211],[-107.8758,40.2207],[-107.8945,40.2209],[-107.9144,40.221],[-107.9523,40.2213],[-107.9891,40.2217],[-108.0084,40.2218],[-108.0855,40.2224],[-108.1042,40.2225],[-108.1626,40.2225],[-108.1819,40.2226],[-108.2011,40.2227],[-108.218,40.2229],[-108.2367,40.2225],[-108.256,40.2226],[-108.2945,40.2224],[-108.3313,40.2222],[-108.3891,40.2225],[-108.4083,40.2221],[-108.4445,40.2223],[-108.5023,40.2221],[-108.5216,40.2217],[-108.5577,40.2219],[-108.5975,40.2215],[-108.6553,40.2212],[-108.6692,40.2214],[-109.051,40.2228],[-109.0514,40.2608],[-109.0514,40.2753],[-109.0514,40.2844],[-109.0513,40.292],[-109.0512,40.3206],[-109.0509,40.3583],[-109.0509,40.3874],[-109.0509,40.4041],[-109.0508,40.419],[-109.0507,40.4491],[-109.0508,40.4636],[-109.0508,40.4713],[-109.0508,40.4767],[-109.0505,40.4931],[-109.0503,40.5317],[-109.0501,40.5774],[-109.0501,40.5793],[-109.0501,40.5933],[-109.0501,40.6096],[-109.0501,40.6515],[-109.0501,40.6545],[-109.0499,40.666],[-109.0501,40.6949],[-109.0499,40.7516],[-109.0499,40.7693],[-109.0498,40.7834],[-109.0497,40.824],[-109.0493,40.8433],[-109.0493,40.8453],[-109.0492,40.8587],[-109.0488,40.8866],[-109.0489,40.9036],[-109.0487,40.9107],[-109.049,40.9268],[-109.0488,40.9479],[-109.049,41],[-108.9729,41.0002],[-108.9315,41.0001],[-108.912,41.0001],[-108.7655,41.0002],[-108.746,41.0002],[-108.6516,41.0005],[-108.6321,41.0005],[-108.5699,41.0003],[-108.3781,40.9997],[-108.3745,40.9997],[-108.3118,41],[-108.2923,41.0001],[-108.263,41.0003],[-108.2186,41.0007],[-108.1808,41.001],[-108.0007,41.0025],[-107.966,41.0028],[-107.9154,41.0029],[-107.888,41.0029],[-107.8801,41.0029],[-107.8521,41.0029],[-107.8391,41.0028],[-107.8326,41.0028],[-107.8206,41.0028],[-107.8131,41.0028],[-107.7845,41.0028],[-107.7078,41.0028],[-107.6767,41.0028],[-107.6049,41.0028],[-107.5288,41.0026],[-107.5136,41.0026],[-107.5093,41.0026],[-107.4947,41.0026],[-107.4575,41.0027],[-107.4137,41.0029],[-107.3948,41.003],[-107.3674,41.0032],[-107.3437,41.0033],[-107.3181,41.0035]]]},\"properties\":{\"name\":\"Moffat\",\"state\":\"CO\"}}]}","volume":"83","issue":"5","noUsgsAuthors":false,"publicationDate":"2019-05-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Timmer, Jennifer M.","contributorId":140717,"corporation":false,"usgs":false,"family":"Timmer","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":805435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":805436,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fernandez-Gimenez, Maria E","contributorId":245143,"corporation":false,"usgs":false,"family":"Fernandez-Gimenez","given":"Maria E","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":805437,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70205447,"text":"70205447 - 2019 - A comparative analysis of common methods to identify waterbird hotspots","interactions":[],"lastModifiedDate":"2019-09-18T18:19:42","indexId":"70205447","displayToPublicDate":"2019-05-11T18:13:33","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"A comparative analysis of common methods to identify waterbird hotspots","docAbstract":"<p>1. Hotspot analysis is a commonly used method in ecology and conservation to identify areas of high biodiversity or conservation concern. However, delineating and mapping hotspots is subjective and various approaches can lead to different conclusions with regard to the classification of particular areas as hotspots, complicating long-term conservation planning and implementation efforts. </p><p>2. We present a comparative analysis of recent approaches for identifying waterbird hotspots, with the goal of developing insights about the appropriate use of these methods. We selected four commonly used measures to identify persistent areas of high use: kernel density estimation, Getis-Ord Gi*, hotspot persistence, and hotspots conditional on presence, which represent the range of quantitative hotspot estimation approaches used in waterbird analyses. We applied each of the methods to aerial survey waterbird count data collected in the Great Lakes from 2012-2014 using a 5 km2 grid. For each approach, we identified areas of high use for seven species/species groups and then compared the results across all methods. </p><p>3. Our results indicate that formal hotspot analysis frameworks do not always lead to the same conclusions. The kernel density and Getis-Ord Gi* methods yielded the most similar results across all species analyzed. We found that these two models can differ substantially from the hotspot persistence and hotspots conditional on presence estimation approaches, which were not consistently similar to one another. The hotspot persistence approach differed most significantly from the other methods but is the only method to explicitly account for temporal variation. </p><p>4. We recommend considering the ecological question and scale of any conservation or management activities prior to designing survey methodologies. Deciding the appropriate definition and scale for analysis is critical for interpretation of hotspot analysis results. Combining methods using an integrative approach, either within a single analysis or post-hoc, could lead to greater consistency in the identification of waterbird hotspots.</p>","language":"English","publisher":"British Ecological society","doi":"10.1111/2041-210X.13209","usgsCitation":"Sussman, A.L., Gardner, B., Adams, E.M., Salas, L., Kenow, K.P., Luukkonen, D.R., Monfils, M.J., Mueller, W.P., Williams, K.A., Leduc-Lapierre, M., and Zipkin, E.F., 2019, A comparative analysis of common methods to identify waterbird hotspots: Methods in Ecology and Evolution, v. 10, no. 9, p. 1454-1468, https://doi.org/10.1111/2041-210X.13209.","productDescription":"15 p.","startPage":"1454","endPage":"1468","ipdsId":"IP-091670","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":467621,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.13209","text":"Publisher Index Page"},{"id":367534,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Erie, Lake Huron, Lake Michigan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.76953125,\n              41.21172151054787\n            ],\n            [\n              -78.75,\n              41.21172151054787\n            ],\n            [\n              -78.75,\n              46.164614496897094\n            ],\n            [\n              -88.76953125,\n              46.164614496897094\n            ],\n            [\n              -88.76953125,\n              41.21172151054787\n            ]\n          ]\n        ]\n      }\n    }\n  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M.","contributorId":139994,"corporation":false,"usgs":false,"family":"Adams","given":"Evan","email":"","middleInitial":"M.","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false}],"preferred":false,"id":771218,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Salas, Leo","contributorId":219075,"corporation":false,"usgs":false,"family":"Salas","given":"Leo","email":"","affiliations":[{"id":17734,"text":"Point Blue Conservation Science","active":true,"usgs":false}],"preferred":false,"id":771219,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kenow, Kevin P. 0000-0002-3062-5197 kkenow@usgs.gov","orcid":"https://orcid.org/0000-0002-3062-5197","contributorId":3339,"corporation":false,"usgs":true,"family":"Kenow","given":"Kevin","email":"kkenow@usgs.gov","middleInitial":"P.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":771215,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Luukkonen, David R.","contributorId":219076,"corporation":false,"usgs":false,"family":"Luukkonen","given":"David","email":"","middleInitial":"R.","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":771220,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Monfils, Michael J.","contributorId":219077,"corporation":false,"usgs":false,"family":"Monfils","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":39957,"text":"Michigan State University Extension","active":true,"usgs":false}],"preferred":false,"id":771221,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mueller, William P.","contributorId":219078,"corporation":false,"usgs":false,"family":"Mueller","given":"William","email":"","middleInitial":"P.","affiliations":[{"id":39958,"text":"Western Great Lakes Bird and Bat Observatory","active":true,"usgs":false}],"preferred":false,"id":771222,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Williams, Kate A.","contributorId":219079,"corporation":false,"usgs":false,"family":"Williams","given":"Kate","email":"","middleInitial":"A.","affiliations":[{"id":37436,"text":"Biodiversity Research Institute","active":true,"usgs":false}],"preferred":false,"id":771223,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Leduc-Lapierre, Michelle","contributorId":219080,"corporation":false,"usgs":false,"family":"Leduc-Lapierre","given":"Michelle","email":"","affiliations":[{"id":13509,"text":"Great Lakes Commission","active":true,"usgs":false}],"preferred":false,"id":771224,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Zipkin, Elise F. 0000-0003-4155-6139","orcid":"https://orcid.org/0000-0003-4155-6139","contributorId":192755,"corporation":false,"usgs":false,"family":"Zipkin","given":"Elise","email":"","middleInitial":"F.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":771225,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70210223,"text":"70210223 - 2019 - Microbial assemblages reflect environmental heterogeneity in alpine streams","interactions":[],"lastModifiedDate":"2020-05-21T14:23:46.94455","indexId":"70210223","displayToPublicDate":"2019-05-11T09:20:48","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Microbial assemblages reflect environmental heterogeneity in alpine streams","docAbstract":"Alpine streams are dynamic habitats harboring substantial biodiversity across small spatial extents. The diversity of alpine stream biota is largely reflective of environmental heterogeneity stemming from varying hydrological sources. Globally, alpine stream diversity is under threat as meltwater sources recede and stream conditions become increasingly homogeneous. Much attention has been devoted to macroinvertebrate diversity in alpine headwaters, yet to fully understand the breadth of climate change threats, a more thorough accounting of microbial diversity is needed. We characterized microbial diversity (specifically Bacteria and Archaea) of 13 streams in two disjunct Rocky Mountain subranges through 16S rRNA gene sequencing. Our study encompassed the spectrum of alpine stream sources (glaciers, snowfields, subterranean ice, and groundwater) and three microhabitats (ice, biofilms, and streamwater). We observed no difference in regional (γ) diversity between subranges but substantial differences in diversity among (β) stream types and microhabitats. Within‐stream (α) diversity was highest in groundwater‐fed springs, lowest in glacier‐fed streams, and positively correlated with water temperature for both streamwater and biofilm assemblages. We identified an underappreciated alpine stream type—the icy seep—that are fed by subterranean ice, exhibit cold temperatures (summer mean <2°C), moderate bed stability, and relatively high conductivity. Icy seeps will likely be important for combatting biodiversity losses as they contain similar microbial assemblages to streams fed by surface ice yet may be buffered against climate change by insulating debris cover. Our results show that the patterns of microbial diversity support an ominous trend for alpine stream biodiversity; as meltwater sources decline, stream communities will become more diverse locally, but regional diversity will be lost. Icy seeps, however, represent a source of optimism for the future of biodiversity in these imperiled ecosystems.","language":"English","publisher":"Wiley","doi":"10.1111/gcb.14683","usgsCitation":"Hotaling, S., Foley, M., Zeglin, L., Finn, D.S., Tronstad, L., Giersch, J.J., Muhlfeld, C.C., and Weisrock, D.W., 2019, Microbial assemblages reflect environmental heterogeneity in alpine streams: Global Change Biology, v. 25, no. 8, p. 2576-2590, https://doi.org/10.1111/gcb.14683.","productDescription":"15 p.","startPage":"2576","endPage":"2590","ipdsId":"IP-105125","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":374985,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Glacier National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.11474609375001,\n              47.07386310181414\n            ],\n            [\n              -112.30224609374999,\n              47.07386310181414\n            ],\n            [\n              -112.30224609374999,\n              49.001843917978526\n            ],\n            [\n              -115.11474609375001,\n              49.001843917978526\n            ],\n            [\n              -115.11474609375001,\n              47.07386310181414\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"25","issue":"8","noUsgsAuthors":false,"publicationDate":"2019-06-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Hotaling, Scott","contributorId":202050,"corporation":false,"usgs":false,"family":"Hotaling","given":"Scott","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":789623,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foley, Mary E.","contributorId":224817,"corporation":false,"usgs":false,"family":"Foley","given":"Mary E.","affiliations":[{"id":40945,"text":"Department of Biology, University of Kentucky, Lexington, KY, USA","active":true,"usgs":false}],"preferred":false,"id":789624,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zeglin, Lydia","contributorId":224818,"corporation":false,"usgs":false,"family":"Zeglin","given":"Lydia","affiliations":[{"id":40946,"text":"Division of Biology, Kansas State University, Manhattan, KS, USA","active":true,"usgs":false}],"preferred":false,"id":789625,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Finn, Debra S.","contributorId":198312,"corporation":false,"usgs":false,"family":"Finn","given":"Debra","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":789626,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tronstad, Lusha M.","contributorId":224819,"corporation":false,"usgs":false,"family":"Tronstad","given":"Lusha M.","affiliations":[{"id":40947,"text":"Wyoming Natural Diversity Database, University of Wyoming, Laramie, WY, USA","active":true,"usgs":false}],"preferred":false,"id":789627,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Giersch, J. Joseph 0000-0001-7818-3941 jgiersch@usgs.gov","orcid":"https://orcid.org/0000-0001-7818-3941","contributorId":198074,"corporation":false,"usgs":true,"family":"Giersch","given":"J.","email":"jgiersch@usgs.gov","middleInitial":"Joseph","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":789628,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":789629,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Weisrock, David W.","contributorId":198313,"corporation":false,"usgs":false,"family":"Weisrock","given":"David","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":789630,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70203601,"text":"70203601 - 2019 - Eradication of two non-native cichlid fishes in Miami, Florida (USA)","interactions":[],"lastModifiedDate":"2019-06-12T13:15:57","indexId":"70203601","displayToPublicDate":"2019-05-10T14:52:34","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Eradication of two non-native cichlid fishes in Miami, Florida (USA)","docAbstract":"The proliferation of non-native fishes in Florida is a serious problem, and new species continue to be introduced to the state. Fishes in the Family Cichlidae have been especially successful colonizers of south Florida freshwater habitats. Herein we report a multi-agency effort to eradicate two non-native cichlid fishes in Miami, Florida (Bay Snook Petenia splendida and Blue Mbuna Labeotropheus fuelleborni). These fishes were removed before they were observed in the extensive, interconnected canal system through which they may have been able to expand throughout south Florida and access protected areas such as Everglades National Park. The study site, Pinecrest Gardens, is important because it contains remnant coastal cypress-strand habitat in an increasingly urbanized landscape that historically provided refuge to native amphidromous fishes and invertebrates. The project took considerable time (3.5 years), and we detail in this report how it evolved from a focus on isolating the non-native fishes and reducing their population sizes to an eradication. Gardens’ staff hydrologically isolated their ponds from nearby waterbodies by plugging a culvert with a solid gate. That provided the interagency team with more time to remove the potential threats. Compromises were made between fish management strategies and the Gardens’ priorities. Hurricane impacts helped shift priorities to more aggressive fish-management strategies. Cooperation among several federal and state agencies, as well as the Gardens, was key to the project’s success. We hope this effort may serve as a model for removing non-native species before they spread into ecosystems where eradication is not practical.","language":"English","publisher":"REABIC","doi":"10.3391/mbi.2019.10.2.06","usgsCitation":"Schofield, P.J., Jelks, H.L., and Gestring, K.B., 2019, Eradication of two non-native cichlid fishes in Miami, Florida (USA): Management of Biological Invasions, v. 10, no. 2, p. 296-310, https://doi.org/10.3391/mbi.2019.10.2.06.","productDescription":"15 p.","startPage":"296","endPage":"310","ipdsId":"IP-097111","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":467623,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2019.10.2.06","text":"Publisher Index Page"},{"id":437467,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EWSGZB","text":"USGS data release","linkHelpText":"Removing threats before they spread:  Eradication of two non-native fishes in Miami, Florida (USA)"},{"id":364130,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","county":"Miami-Dade County","city":"Miami","volume":"10","issue":"2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schofield, Pamela J. 0000-0002-8752-2797 pschofield@usgs.gov","orcid":"https://orcid.org/0000-0002-8752-2797","contributorId":168659,"corporation":false,"usgs":true,"family":"Schofield","given":"Pamela","email":"pschofield@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":763227,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jelks, Howard L. 0000-0002-0672-6297 hjelks@usgs.gov","orcid":"https://orcid.org/0000-0002-0672-6297","contributorId":168997,"corporation":false,"usgs":true,"family":"Jelks","given":"Howard","email":"hjelks@usgs.gov","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":763228,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gestring, Kelly B.","contributorId":210849,"corporation":false,"usgs":false,"family":"Gestring","given":"Kelly","email":"","middleInitial":"B.","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":763229,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70204238,"text":"70204238 - 2019 - A comparison of chlorophyll a values obtained from an autonomous underwater vehicle to satellite-based measures for Lake Michigan","interactions":[],"lastModifiedDate":"2019-08-13T15:39:03","indexId":"70204238","displayToPublicDate":"2019-05-10T10:18:22","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of chlorophyll a values obtained from an autonomous underwater vehicle to satellite-based measures for Lake Michigan","docAbstract":"<p>Accurate methods to track changes in lake productivity through time and space are critical to fisheries management. Chlorophyll <i>a</i> is the most widely studied proxy for ecosystem primary production, and has been the topic of many studies. The main sources of chlorophyll <i>a</i> measurements are ship-based measures or multi-spectral satellite data. Autonomous underwater vehicles can survey large spatial extents approaching the scale of satellite data, but with the accuracy of ship-based water sampling methods. We use several statistical measures to compare measures of chlorophyll <i>a</i> collected in Lake Michigan with spatiotemporally matched satellite-derived measures of chlorophyll <i>a</i> from the MODIS Aqua multi-spectral sensor using NASA’s OC3 and the Great Lakes Fit algorithms. Our findings show a near one to one relationship between AUV data and both satellite-derived data sets when the AUV data are coarsened to the resolution of the satellite data. A comparison of satellite-based chlorophyll <i>a</i> to AUV-derived chlorophyll summarized in discrete water depth bins suggested that, based on decreasing coefficients of determination, satellite estimates of chlorophyll accounted for the most variability in chlorophyll <i>a</i> concentrations in the upper 10 m of the water column, even though satellite sensors may detect past this depth.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2019.04.003","usgsCitation":"Bennion, D., Warner, D., Esselman, P., Hobson, B., and Kieft, B., 2019, A comparison of chlorophyll a values obtained from an autonomous underwater vehicle to satellite-based measures for Lake Michigan: Journal of Great Lakes Research, v. 45, no. 4, p. 726-734, https://doi.org/10.1016/j.jglr.2019.04.003.","productDescription":"9 p.","startPage":"726","endPage":"734","ipdsId":"IP-096378","costCenters":[{"id":324,"text":"Great Lakes Science 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Center","active":true,"usgs":true}],"preferred":true,"id":766121,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Esselman, Peter C. 0000-0002-0085-903X","orcid":"https://orcid.org/0000-0002-0085-903X","contributorId":204291,"corporation":false,"usgs":true,"family":"Esselman","given":"Peter C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":766122,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hobson, Brett","contributorId":216922,"corporation":false,"usgs":false,"family":"Hobson","given":"Brett","email":"","affiliations":[{"id":37324,"text":"Monterey Bay Aquarium Research Institute","active":true,"usgs":false}],"preferred":false,"id":766173,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kieft, Brian","contributorId":216923,"corporation":false,"usgs":false,"family":"Kieft","given":"Brian","email":"","affiliations":[{"id":37324,"text":"Monterey Bay Aquarium Research Institute","active":true,"usgs":false}],"preferred":false,"id":766174,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70203446,"text":"70203446 - 2019 - Responses of Native American cultural heritage to changes in environmental setting","interactions":[],"lastModifiedDate":"2020-12-08T17:58:35.644759","indexId":"70203446","displayToPublicDate":"2019-05-10T08:38:32","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5832,"text":"AlterNative: An International Journal of Indigenous Peoples","active":true,"publicationSubtype":{"id":10}},"title":"Responses of Native American cultural heritage to changes in environmental setting","docAbstract":"Cultural expressions of American Indian and Alaska Natives (AIAN) reflect the relationship between AIAN and the plant and animal species present in an area. Different forces that modify that relationship and influence those expressions can potentially shape AIAN cultural heritage and even compromise their cultural identity. Herein, we propose seven modalities to illustrate how AIAN cultural expressions may respond to changes in environmental settings that alter the relationship between plant and animal assemblages, and Native peoples. Each modality provides insight into the vulnerability, resilience, and adaptive capacity of AIAN cultural expressions to changes in environmental settings. Future research may delve deeper into these modalities and help identify appropriate methods for managing culturally important resources. More culturally sensitive management approaches may strengthen conservation practices and safeguard the cultural legacy of indigenous groups.","language":"English","publisher":"SAGE","doi":"10.1177/1177180119847726","usgsCitation":"Bisbal, G.A., and Jones, C.E., 2019, Responses of Native American cultural heritage to changes in environmental setting: AlterNative: An International Journal of Indigenous Peoples, v. 15, no. 4, p. 359-367, https://doi.org/10.1177/1177180119847726.","productDescription":"9 p.","startPage":"359","endPage":"367","ipdsId":"IP-097225","costCenters":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":363813,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"4","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Bisbal, Gustavo A. 0000-0002-6674-9941","orcid":"https://orcid.org/0000-0002-6674-9941","contributorId":213767,"corporation":false,"usgs":true,"family":"Bisbal","given":"Gustavo","email":"","middleInitial":"A.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":762736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Chas E 0000-0002-6089-2608","orcid":"https://orcid.org/0000-0002-6089-2608","contributorId":215587,"corporation":false,"usgs":false,"family":"Jones","given":"Chas","email":"","middleInitial":"E","affiliations":[{"id":39288,"text":"Affiliated Tribes of Northwest Indians","active":true,"usgs":false}],"preferred":false,"id":762737,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70204561,"text":"70204561 - 2019 - A field evaluation of the growth and survival of age-0 Oncorhynchus mykiss tagged with 8-mm passive integrated transponder (PIT) tags","interactions":[],"lastModifiedDate":"2019-08-05T09:47:02","indexId":"70204561","displayToPublicDate":"2019-05-10T07:17:50","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":773,"text":"Animal Biotelemetry","active":true,"publicationSubtype":{"id":10}},"displayTitle":"A field evaluation of the growth and survival of age-0 <i>Oncorhynchus mykiss</i> tagged with 8-mm passive integrated transponder (PIT) tags","title":"A field evaluation of the growth and survival of age-0 Oncorhynchus mykiss tagged with 8-mm passive integrated transponder (PIT) tags","docAbstract":"<h3 class=\"c-article__sub-heading u-h3\" data-test=\"abstract-sub-heading\">Background</h3><p>In fish tagging studies, tag size limits the size of fish that can be tagged, the fraction of a population that can be represented, and ultimately inferences that can be made about the study population, particularly when juvenile fish are the subject of interest. Introduction of an 8-mm passive integrated transponder (PIT) reduced the minimum taggable size of fish, but it has not been evaluated in field trials. We evaluated the growth and survival of age-0<span>&nbsp;</span><i>Oncorhynchus mykiss</i><span>&nbsp;</span>tagged with 8-mm PIT tags in four streams in southwest Washington, USA.</p><h3 class=\"c-article__sub-heading u-h3\" data-test=\"abstract-sub-heading\">Results</h3><p>A total of 351 PIT tagged fish and 340 control fish (marked with pelvic fin clips) were released, but recapture rates were low, particularly for control fish. Growth in length and mass did not differ between small (42–54&nbsp;mm) and large (55–64&nbsp;mm) PIT tagged fish. There was a slightly positive, but weak, relation between tag burden and growth in mass; however, there was considerable variability in this relation (<i>R</i><sup>2</sup> = 0.115). Summer to autumn joint probability of fish surviving and remaining in the study area estimated with a Bayesian mark-recapture model ranged from 0.228 to 0.478 in study streams. We found no significant relation between tag burden and survival, suggesting neither tag burden nor fish size at tagging affected survival.</p><h3 class=\"c-article__sub-heading u-h3\" data-test=\"abstract-sub-heading\">Conclusions</h3><p>Although this study was limited in scope, it provided insight into how age-0<span>&nbsp;</span><i>O. mykiss</i><span>&nbsp;</span>tagged with 8-mm PIT tags grew and survived under natural conditions. We showed that fish as small as 42&nbsp;mm could be tagged without detrimental effects, which should allow researchers to represent a larger portion of study populations through PIT tagging.</p>","language":"English","publisher":"BioMed Central Ltd","doi":"10.1186/s40317-019-0171-9","usgsCitation":"Tiffan, K., Jezorek, I., and Perry, R., 2019, A field evaluation of the growth and survival of age-0 Oncorhynchus mykiss tagged with 8-mm passive integrated transponder (PIT) tags: Animal Biotelemetry, v. 7, Article 9, 8 p., https://doi.org/10.1186/s40317-019-0171-9.","productDescription":"Article 9, 8 p.","ipdsId":"IP-102909","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":460385,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40317-019-0171-9","text":"Publisher Index Page"},{"id":366095,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.76074218749999,\n              45.897654534346906\n            ],\n            [\n              -119.10278320312499,\n              45.897654534346906\n            ],\n            [\n              -119.10278320312499,\n              47.69497434186282\n            ],\n            [\n              -124.76074218749999,\n              47.69497434186282\n            ],\n            [\n              -124.76074218749999,\n              45.897654534346906\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"7","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Tiffan, Kenneth 0000-0002-5831-2846","orcid":"https://orcid.org/0000-0002-5831-2846","contributorId":217812,"corporation":false,"usgs":true,"family":"Tiffan","given":"Kenneth","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":767570,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jezorek, Ian 0000-0002-3842-3485","orcid":"https://orcid.org/0000-0002-3842-3485","contributorId":217813,"corporation":false,"usgs":true,"family":"Jezorek","given":"Ian","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":767571,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perry, Russell 0000-0003-4110-8619","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":217814,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":767572,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70203553,"text":"70203553 - 2019 - Aluminum- and iron-based coagulation for in-situ removal of dissolved organic carbon, disinfection byproducts, mercury and other constituents from agricultural drain water","interactions":[],"lastModifiedDate":"2019-06-18T12:13:56","indexId":"70203553","displayToPublicDate":"2019-05-09T09:52:12","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Aluminum- and iron-based coagulation for in-situ removal of dissolved organic carbon, disinfection byproducts, mercury and other constituents from agricultural drain water","docAbstract":"Agricultural production on wetland soils can be significant sources of dissolved organic carbon (DOC), disinfection byproduct precursors, mercury and nutrients to downstream water bodies and accelerate land subsidence. Presented as a potential solution for in-situ water quality improvement and land subsidence mitigation, chemically enhanced treatment wetlands (CETWs) were used to leverage both coagulation and wetland processes. In this study, we evaluated the performance of coagulants ferric sulfate (Fe dosing) and polyaluminum chloride (Al dosing) to remove pollutants from agricultural drain water using the coagulation system designed for CETWs. Both coagulation treatments removed over 70% DOC from source waters, resulting in removal efficiencies (mg-DOC removed per mg-metal dosed) of 1 under Al dosing and 0.5 under Fe dosing. Coagulation by both treatments preferentially removed UV254 active compounds compared to the bulk DOC concentration, suggesting coagulation targeted aromatics more effectively. Phosphates and haloacetic acids were also removed more readily, whereas trihalomethanes, dissolved organic nitrogen and filtered mercury species were removed at similar or lower rates than DOC. Dissolved inorganic nitrogen was not amenable to coagulation and removal was not observed. Freundlich, Langmuir and Monod models explained 33% of the variance for Al dosing and 78 – 89% of the variance for Fe dosing. All three models indicated Al dosing had higher removal efficiency and affinity for DOC than Fe dosing under study conditions, but when used to predict maximum removal efficiency there was no cohesiveness between the three models due to different model assumptions. Consideration of fluorescence dissolved organic matter and UV254 as surrogates for DOC concentration showed both were equally suitable before coagulant application, but as surrogates after coagulant application, neither could be deemed more fit as a surrogate since both were shown suitable for different treatment scenarios.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2019.02.015","usgsCitation":"Bachand, S.M., Kraus, T.E., Stern, D., Ling Liang, Y., Horwath, W.R., and Bachand, P.A., 2019, Aluminum- and iron-based coagulation for in-situ removal of dissolved organic carbon, disinfection byproducts, mercury and other constituents from agricultural drain water: Ecological Engineering, v. 134, p. 26-38, https://doi.org/10.1016/j.ecoleng.2019.02.015.","productDescription":"13 p.","startPage":"26","endPage":"38","ipdsId":"IP-099173","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":467627,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoleng.2019.02.015","text":"Publisher Index Page"},{"id":364087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"134","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bachand, Sandra M. 0000-0001-5235-9726","orcid":"https://orcid.org/0000-0001-5235-9726","contributorId":207557,"corporation":false,"usgs":false,"family":"Bachand","given":"Sandra","email":"","middleInitial":"M.","affiliations":[{"id":12526,"text":"Bachand & Associates","active":true,"usgs":false}],"preferred":false,"id":763118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kraus, Tamara E. C. 0000-0002-5187-8644 tkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-5187-8644","contributorId":147560,"corporation":false,"usgs":true,"family":"Kraus","given":"Tamara","email":"tkraus@usgs.gov","middleInitial":"E. C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763117,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stern, Dylan 0000-0001-5676-8711","orcid":"https://orcid.org/0000-0001-5676-8711","contributorId":215742,"corporation":false,"usgs":false,"family":"Stern","given":"Dylan","email":"","affiliations":[{"id":39311,"text":"Delta Stewardship Program, Aquatic Science Program","active":true,"usgs":false}],"preferred":false,"id":763119,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ling Liang, Yan 0000-0001-5999-3148","orcid":"https://orcid.org/0000-0001-5999-3148","contributorId":207555,"corporation":false,"usgs":false,"family":"Ling Liang","given":"Yan","email":"","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":763120,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Horwath, William R. 0000-0003-3707-0697","orcid":"https://orcid.org/0000-0003-3707-0697","contributorId":207560,"corporation":false,"usgs":false,"family":"Horwath","given":"William","email":"","middleInitial":"R.","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":763121,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bachand, Philip A. M. 0000-0002-6757-2404","orcid":"https://orcid.org/0000-0002-6757-2404","contributorId":207558,"corporation":false,"usgs":false,"family":"Bachand","given":"Philip","email":"","middleInitial":"A. M.","affiliations":[{"id":12526,"text":"Bachand & Associates","active":true,"usgs":false}],"preferred":false,"id":763122,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70205124,"text":"70205124 - 2019 - oSCR: A spatial capture–recapture R package for inference about spatial ecological processes","interactions":[],"lastModifiedDate":"2019-09-04T15:47:48","indexId":"70205124","displayToPublicDate":"2019-05-08T15:45:01","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"oSCR: A spatial capture–recapture R package for inference about spatial ecological processes","docAbstract":"<p><span>Spatial capture–recapture (SCR) methods have become widely applied in ecology. The immediate adoption of SCR is due to the fact that it resolves some major criticisms of traditional capture–recapture methods related to heterogeneity in detectabililty, and the emergence of new technologies (e.g. camera traps, non‐invasive genetics) that have vastly improved our ability to collection spatially explicit observation data on individuals. However, the utility of SCR methods reaches far beyond simply convenience and data availability. SCR presents a formal statistical framework that can be used to test explicit hypotheses about core elements of population and landscape ecology, and has profound implications for how we study animal populations. In this software note, we describe the technical basis and analytical workflow of oSCR, an R package for analyzing spatial encounter history data using a multi‐session sex‐structured likelihood. The impetus for developing oSCR was to create an accessible and transparent analysis tool that allows users to conveniently and intuitively formulate statistical models that map directly to fundamental processes of interest in spatial population ecology (e.g. space use, resource selection, density and connectivity). We have placed an emphasis on creating a transparent and accessible code base that is coupled with a logical workflow that we hope stimulates active participation in further technical developments.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ecog.04551","usgsCitation":"Chris Sutherland, Royle, J.A., and Linden, D., 2019, oSCR: A spatial capture–recapture R package for inference about spatial ecological processes: Ecography, v. 42, no. 9, p. 1459-1469, https://doi.org/10.1111/ecog.04551.","productDescription":"11 p.","startPage":"1459","endPage":"1469","ipdsId":"IP-108080","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467628,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/ecog.04551","text":"External Repository"},{"id":367195,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"9","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-07-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Chris Sutherland","contributorId":196873,"corporation":false,"usgs":false,"family":"Chris Sutherland","affiliations":[],"preferred":false,"id":770127,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":139626,"corporation":false,"usgs":true,"family":"Royle","given":"J.","email":"aroyle@usgs.gov","middleInitial":"Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":770126,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Linden, Dan","contributorId":218743,"corporation":false,"usgs":false,"family":"Linden","given":"Dan","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":770128,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}