{"pageNumber":"50","pageRowStart":"1225","pageSize":"25","recordCount":4111,"records":[{"id":70181008,"text":"70181008 - 2017 - Complete genome sequences of two acetylene-fermenting <i>Pelobacter acetylenicus</i> strains","interactions":[],"lastModifiedDate":"2017-02-11T17:52:11","indexId":"70181008","displayToPublicDate":"2017-02-11T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5099,"text":"Genome Announcements","active":true,"publicationSubtype":{"id":10}},"title":"Complete genome sequences of two acetylene-fermenting <i>Pelobacter acetylenicus</i> strains","docAbstract":"<p><span>Acetylene fermentation is a rare metabolism that was serendipitously discovered during C</span><sub>2</sub><span>H</span><sub>2</sub><span>-block assays of N</span><sub>2</sub><span>O reductase. Here, we report the genome sequences of two type strains of acetylene-fermenting </span><i>Pelobacter acetylenicus</i><span>, the freshwater bacterium DSM 3246 and the estuarine bacterium DSM 3247.</span></p>","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/genomeA.01572-16","usgsCitation":"Sutton, J.M., Baesman, S., Fierst, J.L., Poret-Peterson, A.T., Oremland, R.S., Dunlap, D., and Akob, D.M., 2017, Complete genome sequences of two acetylene-fermenting <i>Pelobacter acetylenicus</i> strains: Genome Announcements, v. 5, no. 6, e01572-16; 2 p., https://doi.org/10.1128/genomeA.01572-16.","productDescription":"e01572-16; 2 p.","ipdsId":"IP-081646","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":470076,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/genomea.01572-16","text":"Publisher Index Page"},{"id":335178,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"589ffecce4b099f50d3e0426","contributors":{"authors":[{"text":"Sutton, John M.","contributorId":179294,"corporation":false,"usgs":false,"family":"Sutton","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":663245,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baesman, Shaun 0000-0003-0741-8269 sbaesman@usgs.gov","orcid":"https://orcid.org/0000-0003-0741-8269","contributorId":3478,"corporation":false,"usgs":true,"family":"Baesman","given":"Shaun","email":"sbaesman@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":663244,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fierst, Janna L.","contributorId":179295,"corporation":false,"usgs":false,"family":"Fierst","given":"Janna","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":663246,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poret-Peterson, Amisha T.","contributorId":179296,"corporation":false,"usgs":false,"family":"Poret-Peterson","given":"Amisha","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":663247,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oremland, Ronald S. 0000-0001-7382-0147 roremlan@usgs.gov","orcid":"https://orcid.org/0000-0001-7382-0147","contributorId":931,"corporation":false,"usgs":true,"family":"Oremland","given":"Ronald","email":"roremlan@usgs.gov","middleInitial":"S.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":663248,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dunlap, Darren S.","contributorId":179297,"corporation":false,"usgs":false,"family":"Dunlap","given":"Darren S.","affiliations":[],"preferred":false,"id":663249,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Akob, Denise M. 0000-0003-1534-3025 dakob@usgs.gov","orcid":"https://orcid.org/0000-0003-1534-3025","contributorId":4980,"corporation":false,"usgs":true,"family":"Akob","given":"Denise","email":"dakob@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true}],"preferred":true,"id":663250,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70181009,"text":"70181009 - 2017 - Complete genome sequence of the acetylene-fermenting <i>Pelobacter</i> sp. strain SFB93","interactions":[],"lastModifiedDate":"2017-02-11T17:48:12","indexId":"70181009","displayToPublicDate":"2017-02-11T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5099,"text":"Genome Announcements","active":true,"publicationSubtype":{"id":10}},"title":"Complete genome sequence of the acetylene-fermenting <i>Pelobacter</i> sp. strain SFB93","docAbstract":"<p><span>Acetylene fermentation is a rare metabolism that was previously reported as being unique to </span><i>Pelobacter acetylenicus</i><span>. Here, we report the genome sequence of </span><i>Pelobacter</i><span> sp. strain SFB93, an acetylene-fermenting bacterium isolated from sediments collected in San Francisco Bay, CA.</span></p>","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/genomeA.01573-16","usgsCitation":"Sutton, J.M., Baesman, S., Fierst, J.L., Poret-Peterson, A.T., Oremland, R.S., Dunlap, D., and Akob, D.M., 2017, Complete genome sequence of the acetylene-fermenting <i>Pelobacter</i> sp. strain SFB93: Genome Announcements, v. 5, no. 6, e01573-16; 2 p., https://doi.org/10.1128/genomeA.01573-16.","productDescription":"e01573-16; 2 p.","ipdsId":"IP-081654","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":470077,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/genomea.01573-16","text":"Publisher Index Page"},{"id":335177,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"589ffec9e4b099f50d3e0424","contributors":{"authors":[{"text":"Sutton, John M.","contributorId":179294,"corporation":false,"usgs":false,"family":"Sutton","given":"John","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":663252,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baesman, Shaun 0000-0003-0741-8269 sbaesman@usgs.gov","orcid":"https://orcid.org/0000-0003-0741-8269","contributorId":3478,"corporation":false,"usgs":true,"family":"Baesman","given":"Shaun","email":"sbaesman@usgs.gov","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":663251,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fierst, Janna L.","contributorId":179295,"corporation":false,"usgs":false,"family":"Fierst","given":"Janna","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":663253,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poret-Peterson, Amisha T.","contributorId":179296,"corporation":false,"usgs":false,"family":"Poret-Peterson","given":"Amisha","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":663254,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oremland, Ronald S. 0000-0001-7382-0147 roremlan@usgs.gov","orcid":"https://orcid.org/0000-0001-7382-0147","contributorId":931,"corporation":false,"usgs":true,"family":"Oremland","given":"Ronald","email":"roremlan@usgs.gov","middleInitial":"S.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":663255,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dunlap, Darren S.","contributorId":179297,"corporation":false,"usgs":false,"family":"Dunlap","given":"Darren S.","affiliations":[],"preferred":false,"id":663256,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Akob, Denise M. 0000-0003-1534-3025 dakob@usgs.gov","orcid":"https://orcid.org/0000-0003-1534-3025","contributorId":4980,"corporation":false,"usgs":true,"family":"Akob","given":"Denise","email":"dakob@usgs.gov","middleInitial":"M.","affiliations":[{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":663257,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70176334,"text":"ds1019 - 2017 - Groundwater-quality data for the Madera/Chowchilla–Kings shallow aquifer study unit, 2013–14: Results from the California GAMA Program","interactions":[],"lastModifiedDate":"2017-02-06T09:46:13","indexId":"ds1019","displayToPublicDate":"2017-02-03T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1019","title":"Groundwater-quality data for the Madera/Chowchilla–Kings shallow aquifer study unit, 2013–14: Results from the California GAMA Program","docAbstract":"<p>Groundwater quality in the 2,390-square-mile Madera/Chowchilla–Kings Shallow Aquifer study unit was investigated by the U.S. Geological Survey from August 2013 to April 2014 as part of the California State Water Resources Control Board Groundwater Ambient Monitoring and Assessment Program’s Priority Basin Project. The study was designed to provide a statistically unbiased, spatially distributed assessment of untreated groundwater quality in the shallow aquifer systems of the Madera, Chowchilla, and Kings subbasins of the San Joaquin Valley groundwater basin. The shallow aquifer system corresponds to the part of the aquifer system generally used by domestic wells and is shallower than the part of the aquifer system generally used by public-supply wells. This report presents the data collected for the study and a brief preliminary description of the results.</p><p>Groundwater samples were collected from 77 wells and were analyzed for organic constituents, inorganic constituents, selected isotopic and age-dating tracers, and microbial indicators. Most of the wells sampled for this study were private domestic wells. Unlike groundwater from public-supply wells, the groundwater from private domestic wells is not regulated for quality in California and is rarely analyzed for water-quality constituents. To provide context for the sampling results, however, concentrations of constituents measured in the untreated groundwater were compared with regulatory and non-regulatory benchmarks established for drinking-water quality by the U.S. Environmental Protection Agency, the State of California, and the U.S. Geological Survey.</p><p>Of the 319 organic constituents assessed in this study (90 volatile organic compounds and 229 pesticides and pesticide degradates), 17 volatile organic compounds and 23 pesticides and pesticide degradates were detected in groundwater samples; concentrations of all but 2 were less than the respective benchmarks. The fumigants 1,2-dibromo-3-chloropropane (DBCP) and 1,2-dibromoethane (EDB) were detected at concentrations above their respective regulatory benchmarks in samples from a total of four wells.</p><p>Most detections of inorganic constituents were at concentrations or activities less than the respective benchmark levels. Five inorganic constituents were detected in groundwater samples from one or more wells at concentrations or activities greater than their respective regulatory, health-based benchmarks: arsenic, uranium, nitrate, adjusted gross alpha particle activity, and gross beta particle activity. Four inorganic constituents were detected in samples from one or more wells at concentrations or activities greater than their respective non-regulatory, health-based benchmarks: manganese, molybdenum, vanadium, and radon-222. Three inorganic constituents were detected in groundwater samples from one or more wells at concentrations greater than their respective non-regulatory, aesthetic-based benchmarks: iron, sulfate, and total dissolved solids.</p><p>Microbial indicators (<i>Escherichia coli</i>, total coliform, and enterococci) were analyzed for presence or absence. The presence of <i>Escherichia coli</i> (<i>E. coli</i>) was not detected; the presence of total coliform was detected in samples from 10 of the 72 grid wells for which it was analyzed, and the presence of enterococci was detected in samples from 5 of the 73 grid wells analyzed.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1019","collaboration":"Prepared in cooperation with the California State Water Resources Control Board","usgsCitation":"Shelton, J.L., and Fram, M.S., 2017, Groundwater-quality data for the Madera/Chowchilla–Kings shallow aquifer study unit, 2013–14: Results from the California GAMA Program: U.S. Geological Survey Data Series 1019, 115 p., https://doi.org/10.3133/ds1019.","productDescription":"Report: viii, 115 p.","numberOfPages":"128","onlineOnly":"N","ipdsId":"IP-056132","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":334554,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1019/ds1019.pdf","text":"Report","size":"3.67 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1019"},{"id":334553,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1019/coverthb2.jpg"}],"country":"United States","state":"California","otherGeospatial":"Madera/Chowchilla-Kings Shallow Aquifer study unit","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.666667,\n              37.416667\n            ],\n            [\n              -120.666667,\n              36\n            ],\n            [\n              -119.166667,\n              36\n            ],\n            [\n              -119.166667,\n              37.416667\n            ],\n            [\n              -120.666667,\n              37.416667\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, California Water Science Center<br>U.S. Geological Survey<br>6000 J Street, Placer Hall<br>Sacramento, California 95819</p><p><a href=\"https://ca.water.usgs.gov/\" data-mce-href=\"https://ca.water.usgs.gov/\">https://ca.water.usgs.gov/</a></p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Study Design and Methods<br></li><li>Water-Quality Results<br></li><li>Future Work<br></li><li>Summary<br></li><li>References Cited<br></li><li>Tables<br></li><li>Appendix A<br></li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2017-02-03","noUsgsAuthors":false,"publicationDate":"2017-02-03","publicationStatus":"PW","scienceBaseUri":"5895a4bfe4b0fa1e59bc1dfc","contributors":{"authors":[{"text":"Shelton, Jennifer L. 0000-0001-8508-0270 jshelton@usgs.gov","orcid":"https://orcid.org/0000-0001-8508-0270","contributorId":1155,"corporation":false,"usgs":true,"family":"Shelton","given":"Jennifer","email":"jshelton@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":648389,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fram, Miranda S. 0000-0002-6337-059X mfram@usgs.gov","orcid":"https://orcid.org/0000-0002-6337-059X","contributorId":1156,"corporation":false,"usgs":true,"family":"Fram","given":"Miranda","email":"mfram@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":648390,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70180550,"text":"70180550 - 2017 - Conversion of native terrestrial ecosystems in Hawai‘i to novel grazing systems: a review","interactions":[],"lastModifiedDate":"2018-01-04T08:30:32","indexId":"70180550","displayToPublicDate":"2017-01-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Conversion of native terrestrial ecosystems in Hawai‘i to novel grazing systems: a review","docAbstract":"<p><span>The remote oceanic islands of Hawai‘i exemplify the transformative effects that non-native herbivorous mammals can bring to isolated terrestrial ecosystems. We reviewed published literature containing systematically collected, analyzed, and peer-reviewed original data specifically addressing direct effects of non-native hoofed mammals (ungulates) on terrestrial ecosystems, and indirect effects and interactions on ecosystem processes in Hawai‘i. The effects of ungulates on native vegetation and ecosystems were addressed in 58 original studies and mostly showed strong short-term regeneration of dominant native trees and understory ferns after ungulate removal, but unassisted recovery was dependent on the extent of previous degradation. Ungulates were associated with herbivory, bark-stripping, disturbance by hoof action, soil erosion, enhanced nutrient cycling from the interaction of herbivory and grasses, and increased pyrogenicity and competition between native plants and pasture grasses. No studies demonstrated that ungulates benefitted native ecosystems except in short-term fire-risk reduction. However, non-native plants became problematic and continued to proliferate after release from herbivory, including at least 11 species of non-native pasture grasses that had become established prior to ungulate removal. Competition from non-native grasses inhibited native species regeneration where degradation was extensive. These processes have created novel grazing systems which, in some cases, have irreversibly altered Hawaii’s terrestrial ecology. Non-native plant control and outplanting of rarer native species will be necessary for recovery where degradation has been extensive. Lack of unassisted recovery in some locations should not be construed as a reason to not attempt restoration of other ecosystems.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10530-016-1270-7","usgsCitation":"Leopold, C.R., and Hess, S.C., 2017, Conversion of native terrestrial ecosystems in Hawai‘i to novel grazing systems: a review: Biological Invasions, v. 19, no. 1, p. 161-177, https://doi.org/10.1007/s10530-016-1270-7.","productDescription":"17 p.","startPage":"161","endPage":"177","ipdsId":"IP-075561","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":334416,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-17","publicationStatus":"PW","scienceBaseUri":"5891b0a4e4b072a7ac1298dd","chorus":{"doi":"10.1007/s10530-016-1270-7","url":"http://dx.doi.org/10.1007/s10530-016-1270-7","publisher":"Springer Nature","authors":"Leopold Christina R., Hess Steven C.","journalName":"Biological Invasions","publicationDate":"9/17/2016","auditedOn":"2/15/2017","publiclyAccessibleDate":"9/17/2016"},"contributors":{"authors":[{"text":"Leopold, Christina R.","contributorId":46817,"corporation":false,"usgs":true,"family":"Leopold","given":"Christina","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":661788,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hess, Steven C. 0000-0001-6403-9922 shess@usgs.gov","orcid":"https://orcid.org/0000-0001-6403-9922","contributorId":3156,"corporation":false,"usgs":true,"family":"Hess","given":"Steven","email":"shess@usgs.gov","middleInitial":"C.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":false,"id":661787,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70180374,"text":"70180374 - 2017 - Molecular systematics of the critically-endangered North American spinymussels (Unionidae: <i>Elliptio</i> and <i>Pleurobema</i>) and description of <i>Parvaspina</i> gen. nov.","interactions":[],"lastModifiedDate":"2017-07-10T15:02:33","indexId":"70180374","displayToPublicDate":"2017-01-27T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Molecular systematics of the critically-endangered North American spinymussels (Unionidae: <i>Elliptio</i> and <i>Pleurobema</i>) and description of <i>Parvaspina</i> gen. nov.","docAbstract":"<p><span>Despite being common in numerous marine bivalve lineages, lateral spines are extremely rare among freshwater bivalves (Bivalvia: Unionidae), with only three known species characterized by the presence of spines: </span><i class=\"EmphasisTypeItalic \">Elliptio spinosa, Elliptio steinstansana</i><span>, and </span><i class=\"EmphasisTypeItalic \">Pleurobema collina</i><span>. All three taxa are endemic to the Atlantic Slope of southeastern North America, critically endangered, and protected by the US Endangered Species Act. Currently, these species are recognized in two genera and remain a source of considerable taxonomic confusion. Because spines are rare in freshwater mussels and restricted to a small region of North America, we hypothesized that spinymussels represent a monophyletic group. We sequenced two mtDNA gene fragments (</span><i class=\"EmphasisTypeItalic \">COI</i><span> and </span><i class=\"EmphasisTypeItalic \">ND1</i><span>) and a fragment of the nuclear </span><i class=\"EmphasisTypeItalic \">ITS-1</i><span> locus from &gt;70 specimens. Bayesian and maximum-likelihood phylogenetic reconstructions suggest that the spinymussels do not comprise a monophyletic group. </span><i class=\"EmphasisTypeItalic \">Elliptio steinstansana</i><span> is sister to </span><i class=\"EmphasisTypeItalic \">P. collina</i><span>, forming a monophyletic clade that was estimated to have diverged from its most recent ancestor in the late Miocene and is distinct from both </span><i class=\"EmphasisTypeItalic \">Elliptio</i><span> and </span><i class=\"EmphasisTypeItalic \">Pleurobema</i><span>; we describe a new genus (</span><i class=\"EmphasisTypeItalic \">Parvaspina</i><span> gen. nov.) to reflect this relationship. Additionally, </span><i class=\"EmphasisTypeItalic \">E. spinosa</i><span> forms a monophyletic clade that diverged from members of the core </span><i class=\"EmphasisTypeItalic \">Elliptio</i><span> lineage in the mid-Pliocene. Furthermore, </span><i class=\"EmphasisTypeItalic \">E. spinosa</i><span> is genetically divergent from the other spinymussel species, suggesting that spines, while extremely rare in freshwater mussels worldwide, may have evolved independently in two bivalve lineages. Recognizing the genetic distinctiveness and inter-generic relationships of the spinymussels is an important first step towards effectively managing these imperiled species and lays the groundwork for future conservation genetics studies.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10592-017-0924-z","usgsCitation":"Perkins, M.A., Johnson, N.A., and Gangloff, M.M., 2017, Molecular systematics of the critically-endangered North American spinymussels (Unionidae: <i>Elliptio</i> and <i>Pleurobema</i>) and description of <i>Parvaspina</i> gen. nov.: Conservation Genetics, v. 18, no. 4, p. 745-757, https://doi.org/10.1007/s10592-017-0924-z.","productDescription":"13 p.","startPage":"745","endPage":"757","ipdsId":"IP-073624","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":334241,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"4","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-21","publicationStatus":"PW","scienceBaseUri":"588c6a8de4b08c8121c908fd","contributors":{"authors":[{"text":"Perkins, Michael A.","contributorId":178870,"corporation":false,"usgs":false,"family":"Perkins","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":661434,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Nathan A. 0000-0001-5167-1988 najohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-5167-1988","contributorId":4175,"corporation":false,"usgs":true,"family":"Johnson","given":"Nathan","email":"najohnson@usgs.gov","middleInitial":"A.","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":661433,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gangloff, Michael M.","contributorId":178871,"corporation":false,"usgs":false,"family":"Gangloff","given":"Michael","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":661435,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193795,"text":"70193795 - 2017 - Quantifying site-specific physical heterogeneity within an estuarine seascape","interactions":[],"lastModifiedDate":"2017-11-08T13:30:35","indexId":"70193795","displayToPublicDate":"2017-01-10T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying site-specific physical heterogeneity within an estuarine seascape","docAbstract":"<p><span>Quantifying physical heterogeneity is essential for meaningful ecological research and effective resource management. Spatial patterns of multiple, co-occurring physical features are rarely quantified across a seascape because of methodological challenges. Here, we identified approaches that measured total site-specific heterogeneity, an often overlooked aspect of estuarine ecosystems. Specifically, we examined 23 metrics that quantified four types of common physical features: (1) river and creek confluences, (2) bathymetric variation including underwater drop-offs, (3) land features such as islands/sandbars, and (4) major underwater channel networks. Our research at 40 sites throughout Plum Island Estuary (PIE) provided solutions to two problems. The first problem was that individual metrics that measured heterogeneity of a single physical feature showed different regional patterns. We solved this first problem by combining multiple metrics for a single feature using a within-physical feature cluster analysis. With this approach, we identified sites with four different types of confluences and three different types of underwater drop-offs. The second problem was that when multiple physical features co-occurred, new patterns of total site-specific heterogeneity were created across the seascape. This pattern of total heterogeneity has potential ecological relevance to structure-oriented predators. To address this second problem, we identified sites with similar types of total physical heterogeneity using an across-physical feature cluster analysis. Then, we calculated an additive heterogeneity index, which integrated all physical features at a site. Finally, we tested if site-specific additive heterogeneity index values differed for across-physical feature clusters. In PIE, the sites with the highest additive heterogeneity index values were clustered together and corresponded to sites where a fish predator, adult striped bass (</span><i class=\"EmphasisTypeItalic \">Morone saxatilis</i><span>), aggregated in a related acoustic tracking study. In summary, we have shown general approaches to quantifying site-specific heterogeneity.</span></p>","language":"English","publisher":"Springer International","doi":"10.1007/s12237-016-0207-9","usgsCitation":"Kennedy, C.G., Mather, M.E., and Smith, J.M., 2017, Quantifying site-specific physical heterogeneity within an estuarine seascape: Estuaries and Coasts, v. 40, no. 5, p. 1385-1397, https://doi.org/10.1007/s12237-016-0207-9.","productDescription":"13 p.","startPage":"1385","endPage":"1397","ipdsId":"IP-070125","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":348458,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Plum Island Estuary","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.85855484008789,\n              42.69088969601617\n            ],\n            [\n              -70.76482772827148,\n              42.69088969601617\n            ],\n            [\n              -70.76482772827148,\n              42.76780873017273\n            ],\n            [\n              -70.85855484008789,\n              42.76780873017273\n            ],\n            [\n              -70.85855484008789,\n              42.69088969601617\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"40","issue":"5","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2017-01-20","publicationStatus":"PW","scienceBaseUri":"5a0425bce4b0dc0b45b453b6","contributors":{"authors":[{"text":"Kennedy, Cristina G.","contributorId":200162,"corporation":false,"usgs":false,"family":"Kennedy","given":"Cristina","email":"","middleInitial":"G.","affiliations":[{"id":18918,"text":"Department of Environmental Conservation, University of Massachusetts, Amherst, MA, 01003, USA","active":true,"usgs":false}],"preferred":false,"id":721224,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mather, Martha E. 0000-0003-3027-0215 mather@usgs.gov","orcid":"https://orcid.org/0000-0003-3027-0215","contributorId":2580,"corporation":false,"usgs":true,"family":"Mather","given":"Martha","email":"mather@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":720524,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Joseph M.","contributorId":106712,"corporation":false,"usgs":false,"family":"Smith","given":"Joseph","email":"","middleInitial":"M.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false},{"id":17855,"text":"School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":721225,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70178812,"text":"sir20165168 - 2017 - Spatial variability of harmful algal blooms in Milford Lake, Kansas, July and August 2015","interactions":[],"lastModifiedDate":"2017-01-25T12:54:21","indexId":"sir20165168","displayToPublicDate":"2017-01-09T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5168","title":"Spatial variability of harmful algal blooms in Milford Lake, Kansas, July and August 2015","docAbstract":"<p>Cyanobacterial harmful algal blooms (CyanoHABs) tend to be spatially variable vertically in the water column and horizontally across the lake surface because of in-lake and weather-driven processes and can vary by orders of magnitude in concentration across relatively short distances (meters or less). Extreme spatial variability in cyanobacteria and associated compounds poses unique challenges to collecting representative samples for scientific study and public-health protection. The objective of this study was to assess the spatial variability of cyanobacteria and microcystin in Milford Lake, Kansas, using data collected on July 27 and August 31, 2015. Spatially dense near-surface data were collected by the U.S. Geological Survey, nearshore data were collected by the Kansas Department of Health and Environment, and open-water data were collected by U.S. Army Corps of Engineers. CyanoHABs are known to be spatially variable, but that variability is rarely quantified. A better understanding of the spatial variability of cyanobacteria and microcystin will inform sampling and management strategies for Milford Lake and for other lakes with CyanoHAB issues throughout the Nation.</p><p>The CyanoHABs in Milford Lake during July and August 2015 displayed the extreme spatial variability characteristic of cyanobacterial blooms. The phytoplankton community was almost exclusively cyanobacteria (greater than 90 percent) during July and August. Cyanobacteria (measured directly by cell counts and indirectly by regression-estimated chlorophyll) and microcystin (measured directly by enzyme-linked immunosorbent assay [ELISA] and indirectly by regression estimates) concentrations varied by orders of magnitude throughout the lake. During July and August 2015, cyanobacteria and microcystin concentrations decreased in the downlake (towards the outlet) direction.<br>Nearshore and open-water surface grabs were collected and analyzed for microcystin as part of this study. Samples were collected in the uplake (Zone C), midlake (Zone B), and downlake (Zone A) parts of the lake. Overall, no consistent pattern was indicated as to which sample location (nearshore or open water) had the highest microcystin concentrations. In July, the maximum microcystin concentration observed in each zone was detected at a nearshore site, and in August, maximum microcystin concentrations in each zone were detected at an open-water site.</p><p>The Kansas Department of Health and Environment uses two guidance levels (a watch and a warning level) to issue recreational public-health advisories for CyanoHABs in Kansas lakes. The levels are based on concentrations of microcystin and numbers of cyanobacteria. In July and August, discrete water-quality samples were predominantly indicative of warning status in Zone C, watch status in Zone B, and no advisories in Zone A. Regression-estimated microcystin concentrations, which provided more thorough coverage of Milford Lake (<i>n</i>=683–720) than discrete samples (<i>n</i>=21–24), generally indicated the same overall pattern. Regardless of the individual agencies sampling approach, the overall public-health advisory status of each zone in Milford Lake was similar according to the Kansas Department of Health and Environment guidance levels.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165168","collaboration":"Prepared in cooperation with the Kansas Department of Health and Environment and the U.S. Army Corps of Engineers, Kansas City District","usgsCitation":"Foster, G.M., Graham, J.L., Stiles, T.C., Boyer, M.G., King, L.R., and Loftin, K.A., 2017, Spatial variability of harmful algal blooms in Milford Lake, Kansas, July and August 2015: U.S. Geological Survey Scientific Investigations Report 2016–5168, 45 p., https://doi.org/10.3133/sir20165168.","productDescription":"Report: v, 45 p.; Data Releases","numberOfPages":"56","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-078303","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":333877,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7V69GRH","text":"USGS data release","description":"USGS data release","linkHelpText":"Water-quality data from two sites on Milford Lake, Kansas, July 26-27 and August 30-31, 2015"},{"id":332912,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5168/coverthb.jpg"},{"id":333876,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5168/sir20165168.pdf","text":"Report","size":"13 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5168 Report PDF"},{"id":333878,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7WQ01ZW","text":"USGS data release","description":"USGS data release","linkHelpText":" Milford Lake, Kansas, spatial water-quality data, July 27 and August 31, 2015"},{"id":333879,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7RX9971","text":"USGS data release","description":"USGS data release","linkHelpText":"Phytoplankton data for Milford Lake, Kansas, July 27 and August 31, 2015"}],"country":"United States","state":"Kansas","otherGeospatial":"Milford Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.1630859375,\n              38.982897808179985\n            ],\n            [\n              -97.1630859375,\n              39.38526381099774\n            ],\n            [\n              -96.49017333984375,\n              39.38526381099774\n            ],\n            [\n              -96.49017333984375,\n              38.982897808179985\n            ],\n            [\n              -97.1630859375,\n              38.982897808179985\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, Kansas Water Science Center <br>U.S. Geological Survey <br>4821 Quail Crest Place <br>Lawrence, KS 66049</p><p><a href=\"https://ks.water.usgs.gov\" data-mce-href=\"https://ks.water.usgs.gov\">https://ks.water.usgs.gov</a></p>","tableOfContents":"<ul><li>Abstract<br></li><li>Introduction<br></li><li>Purpose and Scope<br></li><li>Description of Study Area<br></li><li>Methods<br></li><li>Results for July 27, 2015<br></li><li>Results for August 31, 2015<br></li><li>Spatial Variability of Harmful Algal Blooms in Milford Lake<br></li><li>Summary<br></li><li>References Cited<br></li><li>Appendixes 1 and 2<br></li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2017-01-09","noUsgsAuthors":false,"publicationDate":"2017-01-09","publicationStatus":"PW","scienceBaseUri":"5874b0aae4b0a829a320bb5d","contributors":{"authors":[{"text":"Foster, Guy M. gfoster@usgs.gov","contributorId":3437,"corporation":false,"usgs":true,"family":"Foster","given":"Guy M.","email":"gfoster@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":655202,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graham, Jennifer L. jlgraham@usgs.gov","contributorId":140520,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer L.","email":"jlgraham@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":false,"id":655205,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stiles, Tom C.","contributorId":177287,"corporation":false,"usgs":false,"family":"Stiles","given":"Tom","email":"","middleInitial":"C.","affiliations":[{"id":27804,"text":"Kansas Department of Health and Environment","active":true,"usgs":false}],"preferred":false,"id":655204,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boyer, Marvin G.","contributorId":177288,"corporation":false,"usgs":false,"family":"Boyer","given":"Marvin","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":655206,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"King, Lindsey R.","contributorId":73693,"corporation":false,"usgs":true,"family":"King","given":"Lindsey R.","affiliations":[],"preferred":false,"id":655203,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Loftin, Keith A. 0000-0001-5291-876X kloftin@usgs.gov","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":868,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","email":"kloftin@usgs.gov","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":655207,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70192816,"text":"70192816 - 2017 - Effects of topographic data quality on estimates of shallow slope stability using different regolith depth models","interactions":[],"lastModifiedDate":"2018-02-26T13:16:51","indexId":"70192816","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Effects of topographic data quality on estimates of shallow slope stability using different regolith depth models","docAbstract":"Thickness of colluvium or regolith overlying bedrock or other consolidated materials is a major factor in determining stability of unconsolidated earth materials on steep slopes. Many efforts to model spatially distributed slope stability, for example to assess susceptibility to shallow landslides, have relied on estimates of constant thickness, constant depth, or simple models of thickness (or depth) based on slope and other topographic variables. Assumptions of constant depth or thickness rarely give satisfactory results. Geomorphologists have devised a number of different models to represent the spatial variability of regolith depth and applied them to various settings. I have applied some of these models that can be implemented numerically to different study areas with different types of terrain and tested the results against available depth measurements and landslide inventories. The areas include crystalline rocks of the Colorado Front Range, and gently dipping sedimentary rocks of the Oregon Coast Range. Model performance varies with model, terrain type, and with quality of the input topographic data. Steps in contour-derived 10-m digital elevation models (DEMs) introduce significant errors into the predicted distribution of regolith and landslides. Scan lines, facets, and other artifacts further degrade DEMs and model predictions. Resampling to a lower grid-cell resolution can mitigate effects of facets in lidar DEMs of areas where dense forest severely limits ground returns. Due to its higher accuracy and ability to penetrate vegetation, lidar-derived topography produces more realistic distributions of cover and potential landslides than conventional photogrammetrically derived topographic data.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Landslides: Putting Experience, Knowledge and Emerging Technologies into Practice--Proceedings of the 3rd North American Symposium on Landslides: Association of Environmental and Engineering Geologists Special Publication 27","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Association of Environmental and Engineering Geologists","usgsCitation":"Baum, R.L., 2017, Effects of topographic data quality on estimates of shallow slope stability using different regolith depth models, <i>in</i> Landslides: Putting Experience, Knowledge and Emerging Technologies into Practice--Proceedings of the 3rd North American Symposium on Landslides: Association of Environmental and Engineering Geologists Special Publication 27, p. 807-818.","productDescription":"12 p.","startPage":"807","endPage":"818","ipdsId":"IP-085830","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":352031,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee8ebe4b0da30c1bfc4e6","contributors":{"authors":[{"text":"Baum, Rex L. 0000-0001-5337-1970 baum@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1970","contributorId":1288,"corporation":false,"usgs":true,"family":"Baum","given":"Rex","email":"baum@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":717052,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70186331,"text":"70186331 - 2017 - Improved vertical streambed flux estimation using multiple diurnal temperature methods in series","interactions":[],"lastModifiedDate":"2018-08-07T12:09:56","indexId":"70186331","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Improved vertical streambed flux estimation using multiple diurnal temperature methods in series","docAbstract":"<p><span>Analytical solutions that use diurnal temperature signals to estimate vertical fluxes between groundwater and surface water based on either amplitude ratios (</span><i>A<sub>r</sub></i><span>) or phase shifts (Δ</span><i>ϕ</i><span>) produce results that rarely agree. Analytical solutions that simultaneously utilize </span><i>A<sub>r</sub></i><span> and Δ</span><i>ϕ</i><span> within a single solution have more recently been derived, decreasing uncertainty in flux estimates in some applications. Benefits of combined (</span><i>A<sub>r</sub></i><span>Δ</span><i>ϕ</i><span>) methods also include that thermal diffusivity and sensor spacing can be calculated. However, poor identification of either </span><i>A<sub>r</sub></i><span> or Δ</span><i>ϕ</i><span> from raw temperature signals can lead to erratic parameter estimates from </span><i>A<sub>r</sub></i><span>Δ</span><i>ϕ</i><span> methods. An add-on program for VFLUX 2 is presented to address this issue. Using thermal diffusivity selected from an </span><i>A<sub>r</sub></i><span>Δ</span><i>ϕ</i><span> method during a reliable time period, fluxes are recalculated using an </span><i>A<sub>r</sub></i><span> method. This approach maximizes the benefits of the </span><i>A<sub>r</sub></i><span> and </span><i>A<sub>r</sub></i><span>Δ</span><i>ϕ</i><span> methods. Additionally, sensor spacing calculations can be used to identify periods with unreliable flux estimates, or to assess streambed scour. Using synthetic and field examples, the use of these solutions in series was particularly useful for gaining conditions where fluxes exceeded 1 m/d.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gwat.12436","usgsCitation":"Irvine, D.J., Briggs, M.A., Cartwright, I., Scruggs, C.R., and Lautz, L.K., 2017, Improved vertical streambed flux estimation using multiple diurnal temperature methods in series: Groundwater, v. 55, no. 1, p. 73-80, https://doi.org/10.1111/gwat.12436.","productDescription":"8 p.","startPage":"73","endPage":"80","ipdsId":"IP-074583","costCenters":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":339119,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-22","publicationStatus":"PW","scienceBaseUri":"58e4b0b2e4b09da67999777f","contributors":{"authors":[{"text":"Irvine, Dylan J.","contributorId":190404,"corporation":false,"usgs":false,"family":"Irvine","given":"Dylan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":688352,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":688351,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cartwright, Ian","contributorId":190405,"corporation":false,"usgs":false,"family":"Cartwright","given":"Ian","affiliations":[],"preferred":false,"id":688353,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Scruggs, Courtney R. 0000-0002-1744-3233 cscruggs@usgs.gov","orcid":"https://orcid.org/0000-0002-1744-3233","contributorId":190406,"corporation":false,"usgs":true,"family":"Scruggs","given":"Courtney","email":"cscruggs@usgs.gov","middleInitial":"R.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":688354,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lautz, Laura K.","contributorId":124523,"corporation":false,"usgs":false,"family":"Lautz","given":"Laura","email":"","middleInitial":"K.","affiliations":[{"id":5082,"text":"Syracuse University","active":true,"usgs":false}],"preferred":false,"id":688355,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70195092,"text":"70195092 - 2017 - Pharmaceuticals and personal care products (PPCPs) are ecological disrupting compounds (EcoDC)","interactions":[],"lastModifiedDate":"2018-02-08T13:19:22","indexId":"70195092","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3888,"text":"Elementa: Science of the Anthropocene","active":true,"publicationSubtype":{"id":10}},"title":"Pharmaceuticals and personal care products (PPCPs) are ecological disrupting compounds (EcoDC)","docAbstract":"<p><span>Pharmaceuticals and personal care products (PPCPs) are ubiquitous in freshwater ecosystems worldwide and are recognized as contaminants of concern. Currently, contaminants of concern are classified for their persistence, bioaccumulation, and toxicity (PBT criteria). PPCPs are not classified as persistent organic pollutants (POPs), although some PPCPs share characteristics similar to POPs. For example, PPCPs are known to be pseudopersistent due to constant discharge into the environment, often at low concentrations. At commonly reported environmental concentrations, PPCPs are rarely toxic, but the ability of these compounds to disrupt ecological processes and functions in freshwater ecosystems is often overlooked. Herein we briefly summarize recent studies highlighting the potential ecological effects of PPCPs, including effects on key ecological processes (e.g. primary productivity and community respiration), and we propose that appropriate screening for harmful effects of PPCPs in surface waters should be expanded to include Ecologically Disrupting Compounds (EcoDC) in addition to the established PBT criteria.</span></p>","language":"English","publisher":"University of California Press","doi":"10.1525/elementa.252","usgsCitation":"Richmond, E., Grace, M.R., Kelly, J.R., Reisinger, A., Rosi, E.J., and Walters, D., 2017, Pharmaceuticals and personal care products (PPCPs) are ecological disrupting compounds (EcoDC): Elementa: Science of the Anthropocene, v. 5, p. 1-8, https://doi.org/10.1525/elementa.252.","productDescription":"Article 66; 8 p.","startPage":"1","endPage":"8","ipdsId":"IP-080525","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":470166,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1525/elementa.252","text":"Publisher Index Page"},{"id":351356,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-13","publicationStatus":"PW","scienceBaseUri":"5a7d7001e4b00f54eb2441f4","contributors":{"authors":[{"text":"Richmond, Erinn","contributorId":201755,"corporation":false,"usgs":false,"family":"Richmond","given":"Erinn","affiliations":[{"id":27278,"text":"Monash University","active":true,"usgs":false}],"preferred":false,"id":726895,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grace, Michael R.","contributorId":201756,"corporation":false,"usgs":false,"family":"Grace","given":"Michael","email":"","middleInitial":"R.","affiliations":[{"id":36247,"text":"MONASH U","active":true,"usgs":false}],"preferred":false,"id":726896,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelly, John R.","contributorId":127362,"corporation":false,"usgs":false,"family":"Kelly","given":"John","email":"","middleInitial":"R.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":726897,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reisinger, Andrew","contributorId":201757,"corporation":false,"usgs":false,"family":"Reisinger","given":"Andrew","email":"","affiliations":[{"id":36248,"text":"Cary Institute of Ecosystem Studies","active":true,"usgs":false}],"preferred":false,"id":726898,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosi, Emma J.","contributorId":201758,"corporation":false,"usgs":false,"family":"Rosi","given":"Emma","email":"","middleInitial":"J.","affiliations":[{"id":36248,"text":"Cary Institute of Ecosystem Studies","active":true,"usgs":false}],"preferred":false,"id":726899,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walters, David M. 0000-0002-4237-2158 waltersd@usgs.gov","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":4444,"corporation":false,"usgs":true,"family":"Walters","given":"David M.","email":"waltersd@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":726894,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70193575,"text":"70193575 - 2017 - High-elevation observations of Long-tailed Weasel and Eastern Chipmunk in North Carolina","interactions":[],"lastModifiedDate":"2020-12-17T17:23:37.196426","indexId":"70193575","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3444,"text":"Southeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"High-elevation observations of Long-tailed Weasel and Eastern Chipmunk in North Carolina","docAbstract":"<p><span>Observations of&nbsp;</span><i>Mustela frenata</i><span>&nbsp;(Long-tailed Weasel) are rare within the southern Appalachians, while observations of&nbsp;</span><i>Tamias striatus</i><span>&nbsp;(Eastern Chipmunk) are uncommon in high-elevation spruce-fir forests. We conducted camera-trap surveys at Roan Mountain Highlands, Mitchell County, NC, during summer 2016 in a&nbsp;</span><i>Picea rubens</i><span>&nbsp;(Red Spruce)—</span><i>Abies</i><span>&nbsp;</span><i>fraseri</i><span>&nbsp;(Fraser Fir) forest. During the survey, we observed a Long-tailed Weasel at 1893 m in elevation and an Eastern Chipmunk at 1703 m in elevation. These are the highest-elevation records for both species in the eastern United States outside of Great Smoky Mountains National Park, and the highest elevation record for Longtailed Weasel in North Carolina.</span></p>","language":"English","publisher":"Eagle Hill Publications","doi":"10.1656/058.016.0321","usgsCitation":"Moser, A.M., Diggins, C.A., and Ford, W., 2017, High-elevation observations of Long-tailed Weasel and Eastern Chipmunk in North Carolina: Southeastern Naturalist, v. 16, no. 3, p. 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Carolina\",\"nation\":\"USA  \"}}]}","volume":"16","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc3de4b06e28e9c23bf3","contributors":{"authors":[{"text":"Moser, Allison M.","contributorId":200319,"corporation":false,"usgs":false,"family":"Moser","given":"Allison","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":721901,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diggins, Corinne A.","contributorId":171667,"corporation":false,"usgs":false,"family":"Diggins","given":"Corinne","email":"","middleInitial":"A.","affiliations":[{"id":33131,"text":"Dept of Fish and Wildlife Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":721902,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":719416,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70182810,"text":"70182810 - 2017 - Geochemical evidence for a complex origin for the Kelso dunes, Mojave National Preserve, California USA","interactions":[],"lastModifiedDate":"2017-04-28T09:41:46","indexId":"70182810","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical evidence for a complex origin for the Kelso dunes, Mojave National Preserve, California USA","docAbstract":"<p><span>The Kelso Dune field in southern California is intriguing because although it is of limited areal extent (~&nbsp;100&nbsp;km</span><sup>2</sup><span>), it has a wide variety of dune forms and contains many active dunes (~&nbsp;40&nbsp;km</span><sup>2</sup><span>), which is unusual in the Mojave Desert. Studies over the past eight decades have concluded that the dunes are derived primarily from a single source, Mojave River alluvium, under a dominant, westerly-to-northwesterly wind regime. The majority of these studies did not, however, present data to support the Mojave River as the only source. We conducted mineralogical and geochemical studies of most of the 14 geomorphically defined dune groups of the Kelso Dune field as well as potential sand sources, alluvial sediments from the surrounding mountain ranges. Results indicate that sands in the nine western dune groups have K/Rb and K/Ba (primarily from K-feldspar) compositions that are indistinguishable from Mojave River alluvium (westerly/northwesterly winds) and Budweiser Wash alluvium (southwesterly winds), permitting an interpretation of two sources. In contrast, sands from the five eastern dune groups have K/Rb and K/Ba values that indicate significant inputs from alluvial fan deposits of the Providence Mountains. This requires either rare winds from the east or southeast or, more likely, aeolian reworking of distal Providence Mountain fan sediments by winds from the west, at a rate greater than input from the Mojave River or other western sources. The results indicate that even a small dune field can have a complex origin, either from seasonally varying winds or complex alluvial-fan-dune interaction. Application of K/Rb and K/Ba in K-feldspar as a provenance indicator could be used in many of the world's ergs or sand seas, where dune origins are still not well understood or are controversial. Four examples are given from Africa and the Middle East where such an approach could yield useful new information about dune sand provenance.</span></p>","language":"English","publisher":"Elsevier ","doi":"10.1016/j.geomorph.2016.10.002","usgsCitation":"Muhs, D., Lancaster, N., and Skipp, G.L., 2017, Geochemical evidence for a complex origin for the Kelso dunes, Mojave National Preserve, California USA: Geomorphology, v. 276, p. 222-243, https://doi.org/10.1016/j.geomorph.2016.10.002.","productDescription":"22 p. ","startPage":"222","endPage":"243","ipdsId":"IP-072968","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":470172,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://zenodo.org/record/1258997","text":"Publisher Index Page"},{"id":336730,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"276","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58b7eba1e4b01ccd5500bad7","chorus":{"doi":"10.1016/j.geomorph.2016.10.002","url":"http://dx.doi.org/10.1016/j.geomorph.2016.10.002","publisher":"Elsevier BV","authors":"Muhs Daniel R., Lancaster Nicholas, Skipp Gary L.","journalName":"Geomorphology","publicationDate":"1/2017"},"contributors":{"authors":[{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":168575,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel R.","email":"dmuhs@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":673844,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lancaster, Nicholas","contributorId":184242,"corporation":false,"usgs":false,"family":"Lancaster","given":"Nicholas","email":"","affiliations":[],"preferred":false,"id":673845,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skipp, Gary L. 0000-0002-9404-0980 gskipp@usgs.gov","orcid":"https://orcid.org/0000-0002-9404-0980","contributorId":2102,"corporation":false,"usgs":true,"family":"Skipp","given":"Gary","email":"gskipp@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":673846,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70193622,"text":"70193622 - 2017 - An evaluation and comparison of conservation guidelines for an at-risk migratory songbird","interactions":[],"lastModifiedDate":"2017-11-29T15:59:01","indexId":"70193622","displayToPublicDate":"2017-01-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"An evaluation and comparison of conservation guidelines for an at-risk migratory songbird","docAbstract":"<p>For at-risk wildlife species, it is important to consider conservation within the process of adaptive management. Golden-winged Warblers (Vermivora chrysoptera) are Neotropical migratory songbirds that are experiencing long-term population declines due in part to the loss of early-successional nesting habitat. Recently-developed Golden-winged Warbler habitat management guidelines are being implemented by USDA: Natural Resource Conservation Service (2014) and its partners through the Working Lands For Wildlife (WLFW) program. During 2012–2014, we studied the nesting ecology of Golden-winged Warblers in managed habitats of the eastern US that conformed to WLFW conservation practices. We evaluated five NRCS “management scenarios” with respect to nesting success and attainment of recommended nest site vegetation conditions outlined in the Golden-winged Warbler breeding habitat guidelines. Using estimates of territory density, pairing rate, nest survival, and clutch size, we also estimated fledgling productivity (number of fledglings/ha) for each management scenario. In general, Golden-winged Warbler nest survival declined as each breeding season advanced, but nest survival was similar across management scenarios. Within each management scenario, vegetation variables had little influence on nest survival. Still, percent Rubus cover and density of &gt;2 m tall shrubs were relevant in some management scenarios. All five management scenarios rarely attained recommended levels of nest site vegetation conditions for Golden-winged, yet nest survival was high. Fledgling productivity estimates for each management scenario ranged from 2.1 to 8.6 fledglings/10 hectares. Our results indicate that targeted habitat management for Golden-winged Warblers using a variety of management techniques on private lands has the capability to yield high nest survival and fledgling productivity, and thus have the potential to contribute to the species recovery.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2016.12.006","usgsCitation":"McNeil, D.J., Aldinger, K.R., Bakermans, M.H., Lehman, J.A., Tisdale, A.C., Jones, J.A., Wood, P.B., Buehler, D.A., Smalling, C.G., Siefferman, L., and Larkin, J.L., 2017, An evaluation and comparison of conservation guidelines for an at-risk migratory songbird: Global Ecology and Conservation, v. 9, p. 90-103, https://doi.org/10.1016/j.gecco.2016.12.006.","productDescription":"14 p.","startPage":"90","endPage":"103","ipdsId":"IP-082152","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470177,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2016.12.006","text":"Publisher Index Page"},{"id":348726,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -85.58349609375,\n              34.994003757575776\n            ],\n            [\n              -74.59716796875,\n              34.994003757575776\n            ],\n            [\n              -74.59716796875,\n              41.75492216766298\n            ],\n            [\n              -85.58349609375,\n              41.75492216766298\n            ],\n            [\n              -85.58349609375,\n              34.994003757575776\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"9","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fc3de4b06e28e9c23bf0","contributors":{"authors":[{"text":"McNeil, Darin J. Jr.","contributorId":37620,"corporation":false,"usgs":false,"family":"McNeil","given":"Darin","suffix":"Jr.","email":"","middleInitial":"J.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":721863,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aldinger, Kyle R.","contributorId":171892,"corporation":false,"usgs":false,"family":"Aldinger","given":"Kyle","email":"","middleInitial":"R.","affiliations":[{"id":34541,"text":"West Virginia Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false},{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":721864,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bakermans, Marja H.","contributorId":169752,"corporation":false,"usgs":false,"family":"Bakermans","given":"Marja","email":"","middleInitial":"H.","affiliations":[{"id":33354,"text":"Worcester Polytechnic Institute","active":true,"usgs":false}],"preferred":false,"id":721865,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lehman, Justin A.","contributorId":166944,"corporation":false,"usgs":false,"family":"Lehman","given":"Justin","email":"","middleInitial":"A.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":721866,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tisdale, Anna C.","contributorId":200309,"corporation":false,"usgs":false,"family":"Tisdale","given":"Anna","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":721867,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jones, John A.","contributorId":200310,"corporation":false,"usgs":false,"family":"Jones","given":"John","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":721868,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wood, Petra B. 0000-0002-8575-1705 pbwood@usgs.gov","orcid":"https://orcid.org/0000-0002-8575-1705","contributorId":199090,"corporation":false,"usgs":true,"family":"Wood","given":"Petra","email":"pbwood@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719657,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Buehler, David A.","contributorId":176238,"corporation":false,"usgs":false,"family":"Buehler","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":721869,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Smalling, Curtis G.","contributorId":191724,"corporation":false,"usgs":false,"family":"Smalling","given":"Curtis","email":"","middleInitial":"G.","affiliations":[{"id":33352,"text":"Audubon North Carolina","active":true,"usgs":false}],"preferred":false,"id":721870,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Siefferman, Lynn","contributorId":200311,"corporation":false,"usgs":false,"family":"Siefferman","given":"Lynn","email":"","affiliations":[],"preferred":false,"id":721871,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Larkin, Jeffrey L.","contributorId":169747,"corporation":false,"usgs":false,"family":"Larkin","given":"Jeffrey","email":"","middleInitial":"L.","affiliations":[{"id":17929,"text":"American Bird Conservancy","active":true,"usgs":false},{"id":34542,"text":"Department of Biology. Indiana University of Pennsylvania","active":true,"usgs":false}],"preferred":false,"id":721872,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70179334,"text":"70179334 - 2017 - Temporary wetlands: Challenges and solutions to conserving a ‘disappearing’ ecosystem","interactions":[],"lastModifiedDate":"2017-06-27T13:30:44","indexId":"70179334","displayToPublicDate":"2016-12-29T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Temporary wetlands: Challenges and solutions to conserving a ‘disappearing’ ecosystem","docAbstract":"<p><span>Frequent drying of ponded water, and support of unique, highly specialized assemblages of often rare species, characterize temporary wetlands, such as vernal pools, gilgais, and prairie potholes. As small aquatic features embedded in a terrestrial landscape, temporary wetlands enhance biodiversity and provide aesthetic, biogeochemical, and hydrologic functions. Challenges to conserving temporary wetlands include the need to: (1) integrate freshwater and terrestrial biodiversity priorities; (2) conserve entire ‘pondscapes’ defined by connections to other aquatic and terrestrial systems; (3) maintain natural heterogeneity in environmental gradients across and within wetlands, especially gradients in hydroperiod; (4) address economic impact on landowners and developers; (5) act without complete inventories of these wetlands; and (6) work within limited or non-existent regulatory protections. Because temporary wetlands function as integral landscape components, not singly as isolated entities, their cumulative loss is ecologically detrimental yet not currently part of the conservation calculus. We highlight approaches that use strategies for conserving temporary wetlands in increasingly human-dominated landscapes that integrate top-down management and bottom-up collaborative approaches. Diverse conservation activities (including education, inventory, protection, sustainable management, and restoration) that reduce landowner and manager costs while achieving desired ecological objectives will have the greatest probability of success in meeting conservation goals.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2016.11.024","usgsCitation":"Calhoun, A.J., Mushet, D.M., Bell, K.P., Boix, D., Fitzsimons, J.A., and Isselin-Nondedeu, F., 2017, Temporary wetlands: Challenges and solutions to conserving a ‘disappearing’ ecosystem: Biological Conservation, v. 211, no. B, p. 3-11, https://doi.org/10.1016/j.biocon.2016.11.024.","productDescription":"9 p.","startPage":"3","endPage":"11","ipdsId":"IP-076656","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470185,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://figshare.com/articles/journal_contribution/Temporary_wetlands_challenges_and_solutions_to_conserving_a_disappearing_ecosystem/20862952","text":"Publisher Index Page"},{"id":332619,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"211","issue":"B","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58662f12e4b0cd2dabe7c4af","contributors":{"authors":[{"text":"Calhoun, Aram J.K.","contributorId":177732,"corporation":false,"usgs":false,"family":"Calhoun","given":"Aram","email":"","middleInitial":"J.K.","affiliations":[{"id":13065,"text":"Department of Wildlife, Fisheries, and Conservation Biology, University of Maine","active":true,"usgs":false}],"preferred":false,"id":656830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":656829,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bell, Kathleen P.","contributorId":171584,"corporation":false,"usgs":false,"family":"Bell","given":"Kathleen","email":"","middleInitial":"P.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":656831,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boix, Dani","contributorId":177733,"corporation":false,"usgs":false,"family":"Boix","given":"Dani","affiliations":[],"preferred":false,"id":656832,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fitzsimons, James A.","contributorId":177734,"corporation":false,"usgs":false,"family":"Fitzsimons","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":656833,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Isselin-Nondedeu, Francis","contributorId":177735,"corporation":false,"usgs":false,"family":"Isselin-Nondedeu","given":"Francis","email":"","affiliations":[],"preferred":false,"id":656834,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70179284,"text":"70179284 - 2017 - The practice of prediction: What can ecologists learn from applied, ecology-related fields?","interactions":[],"lastModifiedDate":"2017-12-11T14:01:21","indexId":"70179284","displayToPublicDate":"2016-12-27T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1452,"text":"Ecological Complexity","active":true,"publicationSubtype":{"id":10}},"title":"The practice of prediction: What can ecologists learn from applied, ecology-related fields?","docAbstract":"<p><span>The pervasive influence of human induced global environmental change affects biodiversity across the globe, and there is great uncertainty as to how the biosphere will react on short and longer time scales. To adapt to what the future holds and to manage the impacts of global change, scientists need to predict the expected effects with some confidence and communicate these predictions to policy makers. However, recent reviews found that we currently lack a clear understanding of how predictable ecology is, with views seeing it as mostly unpredictable to potentially predictable, at least over short time frames. However, in applied, ecology-related fields predictions are more commonly formulated and reported, as well as evaluated in hindsight, potentially allowing one to define baselines of predictive proficiency in these fields. We searched the literature for representative case studies in these fields and collected information about modeling approaches, target variables of prediction, predictive proficiency achieved, as well as the availability of data to parameterize predictive models. We find that some fields such as epidemiology achieve high predictive proficiency, but even in the more predictive fields proficiency is evaluated in different ways. Both phenomenological and mechanistic approaches are used in most fields, but differences are often small, with no clear superiority of one approach over the other. Data availability is limiting in most fields, with long-term studies being rare and detailed data for parameterizing mechanistic models being in short supply. We suggest that ecologists adopt a more rigorous approach to report and assess predictive proficiency, and embrace the challenges of real world decision making to strengthen the practice of prediction in ecology.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecocom.2016.12.005","usgsCitation":"Pennekamp, F., Adamson, M., Petchey, O.L., Poggiale, J., Aguiar, M., Kooi, B.W., Botkin, D.B., and DeAngelis, D.L., 2017, The practice of prediction: What can ecologists learn from applied, ecology-related fields?: Ecological Complexity, v. 32, no. B, p. 156-167, https://doi.org/10.1016/j.ecocom.2016.12.005.","productDescription":"12 p.","startPage":"156","endPage":"167","onlineOnly":"Y","ipdsId":"IP-074291","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":470187,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5167/uzh-134675","text":"Publisher Index Page"},{"id":332565,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"B","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5864dd4de4b0cd2dabe7c1c9","contributors":{"authors":[{"text":"Pennekamp, Frank","contributorId":177677,"corporation":false,"usgs":false,"family":"Pennekamp","given":"Frank","email":"","affiliations":[],"preferred":false,"id":656646,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Adamson, Matthew","contributorId":177678,"corporation":false,"usgs":false,"family":"Adamson","given":"Matthew","email":"","affiliations":[],"preferred":false,"id":656647,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Petchey, Owen L","contributorId":177679,"corporation":false,"usgs":false,"family":"Petchey","given":"Owen","email":"","middleInitial":"L","affiliations":[],"preferred":false,"id":656648,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poggiale, Jean-Christophe","contributorId":177680,"corporation":false,"usgs":false,"family":"Poggiale","given":"Jean-Christophe","email":"","affiliations":[],"preferred":false,"id":656649,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aguiar, Maira","contributorId":177681,"corporation":false,"usgs":false,"family":"Aguiar","given":"Maira","email":"","affiliations":[],"preferred":false,"id":656650,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kooi, Bob W.","contributorId":152069,"corporation":false,"usgs":false,"family":"Kooi","given":"Bob","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":656651,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Botkin, Daniel B.","contributorId":90917,"corporation":false,"usgs":false,"family":"Botkin","given":"Daniel","email":"","middleInitial":"B.","affiliations":[{"id":13532,"text":"Department of Biology, University of Miami","active":true,"usgs":false}],"preferred":false,"id":656652,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"DeAngelis, Donald L. 0000-0002-1570-4057 don_deangelis@usgs.gov","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":148065,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Donald","email":"don_deangelis@usgs.gov","middleInitial":"L.","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":656645,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70178840,"text":"70178840 - 2017 - A rare <i>Uroglena</i> bloom in Beaver Lake, Arkansas, spring 2015","interactions":[],"lastModifiedDate":"2017-03-22T14:54:33","indexId":"70178840","displayToPublicDate":"2016-12-09T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2592,"text":"Lake and Reservoir Management","active":true,"publicationSubtype":{"id":10}},"title":"A rare <i>Uroglena</i> bloom in Beaver Lake, Arkansas, spring 2015","docAbstract":"<p><span>A combination of factors triggered a </span><i>Uroglena volvox</i><span> bloom and taste and odor event in Beaver Lake, a water-supply reservoir in northwest Arkansas, in late April 2015. Factors contributing to the bloom included increased rainfall and runoff containing increased concentrations of dissolved organic carbon, followed by a stable pool, low nutrient concentrations, and an expansion of lake surface area and littoral zone. This was the first time </span><i>U. volvox</i><span> was identified in Beaver Lake and the first time it was recognized as a source of taste and odor. Routine water quality samples happened to be collected by the US Geological Survey and the Beaver Water District throughout the reservoir during the bloom—. Higher than normal rainfall in March 2015 increased the pool elevation in Beaver Lake by 2.3&nbsp;m (by early April), increased the surface area by 10%, and increased the littoral zone by 1214 ha; these conditions persisted for 38&nbsp;days, resulting from flood water being retained behind the dam. Monitoring programs that cover a wide range of reservoir features, including dissolved organic carbon, zooplankton, and phytoplankton, are valuable in explaining unusual events such as this </span><i>Uroglena</i><span> bloom.</span></p>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/10402381.2016.1238427","usgsCitation":"Green, W.R., and Hufhines, B., 2017, A rare <i>Uroglena</i> bloom in Beaver Lake, Arkansas, spring 2015: Lake and Reservoir Management, v. 33, no. 1, p. 8-13, https://doi.org/10.1080/10402381.2016.1238427.","productDescription":"6 p.","startPage":"8","endPage":"13","ipdsId":"IP-069411","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":331759,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","otherGeospatial":"Beaver Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.14047241210938,\n              35.905736972317364\n            ],\n            [\n              -94.14047241210938,\n              36.45553145640271\n            ],\n            [\n              -93.67630004882811,\n              36.45553145640271\n            ],\n            [\n              -93.67630004882811,\n              35.905736972317364\n            ],\n            [\n              -94.14047241210938,\n              35.905736972317364\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"33","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-07","publicationStatus":"PW","scienceBaseUri":"584bd0dae4b077fc20250df6","contributors":{"authors":[{"text":"Green, William R. wrgreen@usgs.gov","contributorId":770,"corporation":false,"usgs":true,"family":"Green","given":"William","email":"wrgreen@usgs.gov","middleInitial":"R.","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":655299,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hufhines, Brad","contributorId":177317,"corporation":false,"usgs":false,"family":"Hufhines","given":"Brad","email":"","affiliations":[],"preferred":false,"id":655301,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70178551,"text":"70178551 - 2017 - Estimating occurrence and detection probabilities for stream-breeding salamanders in the Gulf Coastal Plain","interactions":[],"lastModifiedDate":"2017-01-19T14:01:46","indexId":"70178551","displayToPublicDate":"2016-11-28T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2334,"text":"Journal of Herpetology","active":true,"publicationSubtype":{"id":10}},"title":"Estimating occurrence and detection probabilities for stream-breeding salamanders in the Gulf Coastal Plain","docAbstract":"<p><span>Large gaps exist in our knowledge of the ecology of stream-breeding plethodontid salamanders in the Gulf Coastal Plain. Data describing where these salamanders are likely to occur along environmental gradients, as well as their likelihood of detection, are important for the prevention and management of amphibian declines. We used presence/absence data from leaf litter bag surveys and a hierarchical Bayesian multispecies single-season occupancy model to estimate the occurrence of five species of plethodontids across reaches in headwater streams in the Gulf Coastal Plain. Average detection probabilities were high (range = 0.432–0.942) and unaffected by sampling covariates specific to the use of litter bags (i.e., bag submergence, sampling season, in-stream cover). Estimates of occurrence probabilities differed substantially between species (range = 0.092–0.703) and were influenced by the size of the upstream drainage area and by the maximum proportion of the reach that dried. The effects of these two factors were not equivalent across species. Our results demonstrate that hierarchical multispecies models successfully estimate occurrence parameters for both rare and common stream-breeding plethodontids. The resulting models clarify how species are distributed within stream networks, and they provide baseline values that will be useful in evaluating the conservation statuses of plethodontid species within lotic systems in the Gulf Coastal Plain.</span></p>","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","doi":"10.1670/16-050","usgsCitation":"Lamb, J.Y., Waddle, J.H., and Qualls, C.P., 2017, Estimating occurrence and detection probabilities for stream-breeding salamanders in the Gulf Coastal Plain: Journal of Herpetology, v. 51, no. 1, p. 102-108, https://doi.org/10.1670/16-050.","productDescription":"7 p.","startPage":"102","endPage":"108","ipdsId":"IP-072999","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":331235,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":331234,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://journalofherpetology.org/doi/abs/10.1670/16-050"}],"volume":"51","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"583d502de4b0d9329c80c591","contributors":{"authors":[{"text":"Lamb, Jennifer Y.","contributorId":177025,"corporation":false,"usgs":false,"family":"Lamb","given":"Jennifer","email":"","middleInitial":"Y.","affiliations":[],"preferred":false,"id":654324,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waddle, J. Hardin 0000-0003-1940-2133 waddleh@usgs.gov","orcid":"https://orcid.org/0000-0003-1940-2133","contributorId":138953,"corporation":false,"usgs":true,"family":"Waddle","given":"J.","email":"waddleh@usgs.gov","middleInitial":"Hardin","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":654325,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Qualls, Carl P.","contributorId":19688,"corporation":false,"usgs":true,"family":"Qualls","given":"Carl","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":654326,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70178441,"text":"70178441 - 2017 - Rare earth element behavior during groundwater – seawater mixing along the Kona Coast of Hawaii","interactions":[],"lastModifiedDate":"2016-12-09T16:04:19","indexId":"70178441","displayToPublicDate":"2016-11-21T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1759,"text":"Geochimica et Cosmochimica Acta","active":true,"publicationSubtype":{"id":10}},"title":"Rare earth element behavior during groundwater – seawater mixing along the Kona Coast of Hawaii","docAbstract":"<p><span>Groundwater and seawater samples were collected from nearshore wells and offshore along the Kona Coast of the Big Island of Hawaii to investigate rare earth element (REE) behavior in local subterranean estuaries. Previous investigations showed that submarine groundwater discharge (SGD) is the predominant flux of terrestrial waters to the coastal ocean along the arid Kona Coast of Hawaii. Groundwater and seawater samples were filtered through 0.45 μm and 0.02 μm pore-size filters to evaluate the importance of colloidal and soluble (i.e., truly dissolved ionic species and/or low molecular weight [LMW] colloids) fractions of the REEs in the local subterranean estuaries. Mixing experiments using groundwater collected immediately down gradient from a wastewater treatment facility (WWTF) proximal to the Kaloko-Hanokohau National Historic Park, and more “pristine” groundwater from a well constructed in a lava tube at Kiholo Bay, were mixed with local seawater to study the effect of solution composition (i.e., pH, salinity) on the concentrations and fractionation behavior of the REEs as groundwater mixes with seawater in Kona Coast subterranean estuaries. The mixed waters were also filtered through 0.45 or 0.02 μm filters to ascertain the behavior of colloidal and soluble fractions of the REEs across the salinity gradient in each mixing experiment. Concentrations of the REEs were statistically identical (two-tailed Student </span><i>t</i><span>-test, 95% confidence) between the sequentially filtered sample aliquots, indicating that the REEs occur as dissolved ionic species and/or LMW colloids in Kona Coast groundwaters. The mixing experiments revealed that the REEs are released to solution from suspended particles or colloids when Kona Coast groundwater waters mix with local seawater. The order of release that accompanies increasing pH and salinity follows light REE (LREE) &gt; middle REE (MREE) &gt; heavy REE (HREE). Release of REEs in the mixing experiments is driven by decreases in the free metal ion activity in solution and the concomitant increase in the amount of each REE that occurs in solution as dicarbonato complexes [i.e., Ln(CO</span><sub>3</sub><span>)</span><sub>2</sub><sup>-</sup><span>] as pH increases across the salinity gradient. Input-normalized REE patterns of Kona Coast groundwater and coastal seawater are nearly identical and relatively flat compared to North Pacific seawater, indicating that SGD is the chief source of these trace elements to the ocean along the Kona Coast. Additionally, REE concentrations of the coastal seawater are between 10 and 50 times higher than previously reported open-ocean seawater values from the North Pacific, further demonstrating the importance of SGD fluxes of REEs to these coastal waters. Taken together, these observations indicate that large-scale removal of REEs, which characterizes the behavior of REEs in the low salinity reaches of many surface estuaries, is not a feature of the subterranean estuary along the Kona Coast. A large positive gadolinium (Gd) anomaly characterizes groundwater from the vicinity of the WWTF. The positive Gd anomaly can be traced to the coastal ocean, providing further evidence of the impact of SGD on the coastal waters. Estimates of the SGD fluxes of the REEs to the coastal ocean along the Kona Coast (i.e., 1.3 – 2.6 mmol Nd day</span><sup>-1</sup><span>) are similar to recent estimates of SGD fluxes of REEs along Florida’s east coast and to Rhode Island Sound, all of which points to the importance of SGD as significant flux of REEs to the coastal ocean.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gca.2016.11.009","usgsCitation":"Johannesson, K., Palmore, C.D., Fackrell, J., Prouty, N.G., Swarzenski, P.W., Chevis, D.A., Telfeyan, K., White, C.D., and Burdige, D.J., 2017, Rare earth element behavior during groundwater – seawater mixing along the Kona Coast of Hawaii: Geochimica et Cosmochimica Acta, v. 198, p. 229-258, https://doi.org/10.1016/j.gca.2016.11.009.","productDescription":"30 p.","startPage":"229","endPage":"258","ipdsId":"IP-075252","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":461823,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1416299","text":"Publisher Index Page"},{"id":331169,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kona Coast","volume":"198","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"583415b2e4b0070c0abed81e","contributors":{"authors":[{"text":"Johannesson, Karen H.","contributorId":150171,"corporation":false,"usgs":false,"family":"Johannesson","given":"Karen H.","affiliations":[{"id":13500,"text":"Tulane University","active":true,"usgs":false}],"preferred":false,"id":654087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Palmore, C. Dianne","contributorId":176964,"corporation":false,"usgs":false,"family":"Palmore","given":"C.","email":"","middleInitial":"Dianne","affiliations":[],"preferred":false,"id":654094,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fackrell, Joseph","contributorId":150170,"corporation":false,"usgs":false,"family":"Fackrell","given":"Joseph","affiliations":[{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":654088,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":654086,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":654089,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chevis, Darren A.","contributorId":176960,"corporation":false,"usgs":false,"family":"Chevis","given":"Darren","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":654090,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Telfeyan, Katherine","contributorId":176961,"corporation":false,"usgs":false,"family":"Telfeyan","given":"Katherine","email":"","affiliations":[],"preferred":false,"id":654091,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"White, Christopher D.","contributorId":176962,"corporation":false,"usgs":false,"family":"White","given":"Christopher","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":654092,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Burdige, David J.","contributorId":176963,"corporation":false,"usgs":false,"family":"Burdige","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":654093,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70178218,"text":"70178218 - 2017 - Detection limits of quantitative and digital PCR assays and their influence in presence-absence surveys of environmental DNA","interactions":[],"lastModifiedDate":"2017-02-24T10:51:24","indexId":"70178218","displayToPublicDate":"2016-11-07T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2776,"text":"Molecular Ecology Resources","active":true,"publicationSubtype":{"id":10}},"title":"Detection limits of quantitative and digital PCR assays and their influence in presence-absence surveys of environmental DNA","docAbstract":"<p><span>A set of universal guidelines is needed to determine the limit of detection (LOD) in PCR-based analyses of low concentration DNA. In particular, environmental DNA (eDNA) studies require sensitive and reliable methods to detect rare and cryptic species through shed genetic material in environmental samples. Current strategies for assessing detection limits of eDNA are either too stringent or subjective, possibly resulting in biased estimates of species’ presence. Here, a conservative LOD analysis grounded in analytical chemistry is proposed to correct for overestimated DNA concentrations predominantly caused by the concentration plateau, a nonlinear relationship between expected and measured DNA concentrations. We have used statistical criteria to establish formal mathematical models for both quantitative and droplet digital PCR. To assess the method, a new Grass Carp (</span><i>Ctenopharyngodon idella</i><span>) TaqMan assay was developed and tested on both PCR platforms using eDNA in water samples. The LOD adjustment reduced Grass Carp occupancy and detection estimates while increasing uncertainty – indicating that caution needs to be applied to eDNA data without LOD correction. Compared to quantitative PCR, digital PCR had higher occurrence estimates due to increased sensitivity and dilution of inhibitors at low concentrations. Without accurate LOD correction, species occurrence and detection probabilities based on eDNA estimates are prone to a source of bias that cannot be reduced by an increase in sample size or PCR replicates. Other applications also could benefit from a standardized LOD such as GMO food analysis, and forensic and clinical diagnostics.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/1755-0998.12619","usgsCitation":"Hunter, M., Dorazio, R.M., Butterfield, J.S., Meigs-Friend, G., Nico, L., and Ferrante, J.A., 2017, Detection limits of quantitative and digital PCR assays and their influence in presence-absence surveys of environmental DNA: Molecular Ecology Resources, v. 17, no. 2, p. 221-229, https://doi.org/10.1111/1755-0998.12619.","productDescription":"9 p.","startPage":"221","endPage":"229","ipdsId":"IP-074405","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":330858,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2016-11-20","publicationStatus":"PW","scienceBaseUri":"5821a0dce4b02f1a881de968","chorus":{"doi":"10.1111/1755-0998.12619","url":"http://dx.doi.org/10.1111/1755-0998.12619","publisher":"Wiley-Blackwell","authors":"Hunter Margaret E., Dorazio Robert M., Butterfield John S. S., Meigs-Friend Gaia, Nico Leo G., Ferrante Jason A.","journalName":"Molecular Ecology Resources","publicationDate":"11/20/2016","auditedOn":"12/19/2016","publiclyAccessibleDate":"11/20/2016"},"contributors":{"authors":[{"text":"Hunter, Margaret 0000-0002-4760-9302 mhunter@usgs.gov","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":140627,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret","email":"mhunter@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":653305,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dorazio, Robert M. 0000-0003-2663-0468 bob_dorazio@usgs.gov","orcid":"https://orcid.org/0000-0003-2663-0468","contributorId":1668,"corporation":false,"usgs":true,"family":"Dorazio","given":"Robert","email":"bob_dorazio@usgs.gov","middleInitial":"M.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":false,"id":653306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Butterfield, John S. jbutterfield@usgs.gov","contributorId":5593,"corporation":false,"usgs":true,"family":"Butterfield","given":"John","email":"jbutterfield@usgs.gov","middleInitial":"S.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":653307,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meigs-Friend, Gaia 0000-0001-5181-7510 gmeigs-friend@usgs.gov","orcid":"https://orcid.org/0000-0001-5181-7510","contributorId":4688,"corporation":false,"usgs":true,"family":"Meigs-Friend","given":"Gaia","email":"gmeigs-friend@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":653308,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nico, Leo 0000-0002-4488-7737 lnico@usgs.gov","orcid":"https://orcid.org/0000-0002-4488-7737","contributorId":138599,"corporation":false,"usgs":true,"family":"Nico","given":"Leo","email":"lnico@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":653309,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ferrante, Jason A. 0000-0003-3453-4636 jferrante@usgs.gov","orcid":"https://orcid.org/0000-0003-3453-4636","contributorId":176726,"corporation":false,"usgs":true,"family":"Ferrante","given":"Jason","email":"jferrante@usgs.gov","middleInitial":"A.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":653310,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70178046,"text":"70178046 - 2017 - Evaluating nest supplementation as a recovery strategy for the endangered rodents of the Florida Keys","interactions":[],"lastModifiedDate":"2017-03-15T14:13:53","indexId":"70178046","displayToPublicDate":"2016-11-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating nest supplementation as a recovery strategy for the endangered rodents of the Florida Keys","docAbstract":"<p><span>The Key Largo woodrat (</span><i>Neotoma floridana smalli</i><span>) and Key Largo cotton mouse (</span><i>Peromyscus gossypinus allapaticola</i><span>) are federally endangered subspecies endemic to the tropical hardwood hammocks of Key Largo, Florida. Woodrats are considered generalists in habitat and diet, yet a steady decline in natural stick nests and capture rates over the past several decades suggests that they are limited by the availability of nesting habitat due to habitat loss and fragmentation. The more specialized Key Largo cotton mouse appears to rely on old growth hammock, a habitat type that is rare following past land clearing. In 2004, the U.S. Fish and Wildlife Service started building supplemental nest structures to restore habitat quality and connectivity for these endangered rodents, but nest use requires evaluation. We used camera traps and occupancy models to evaluate the factors influencing woodrat and cotton mouse use of the supplemental nests. We detected woodrats at 65 and cotton mice at 175 of 284 sampled nest structures, with co-occurrence at 38 nests. Woodrat nest use followed a gradient from low nest use in the north to high nest use in the south, which might relate to the proximity of free-ranging domestic cat (</span><i>Felis catus</i><span>) colonies in residential developments. Cotton mouse nest use, however, was related positively to mature hammock and related negatively to disturbed areas (e.g. scarified lands). The two species occurred independently of each other. Stick-stacking behavior was observed at supplemental nests and, although it was correlated with detection of woodrats, it was not a strong predictor of their occurrence. We suggest that nest supplementation can be an important tool for species recovery as habitat quality continues to improve with succession.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/rec.12418","usgsCitation":"Cove, M., Simons, T.R., Gardner, B., Maurer, A.S., and O’Connell, A.F., 2017, Evaluating nest supplementation as a recovery strategy for the endangered rodents of the Florida Keys: Restoration Ecology, v. 25, no. 2, p. 253-260, https://doi.org/10.1111/rec.12418.","productDescription":"8 p.","startPage":"253","endPage":"260","ipdsId":"IP-066131","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":337480,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Key Largo","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.16125488281249,\n              24.347096633808512\n            ],\n            [\n              -79.9639892578125,\n              24.347096633808512\n            ],\n            [\n              -79.9639892578125,\n              25.84439325019514\n            ],\n            [\n              -82.16125488281249,\n              25.84439325019514\n            ],\n            [\n              -82.16125488281249,\n              24.347096633808512\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"25","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-13","publicationStatus":"PW","scienceBaseUri":"5819a9c1e4b0bb36a4c91001","contributors":{"authors":[{"text":"Cove, Michael V.","contributorId":176507,"corporation":false,"usgs":false,"family":"Cove","given":"Michael V.","affiliations":[],"preferred":false,"id":652605,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Simons, Theodore R. 0000-0002-1884-6229 tsimons@usgs.gov","orcid":"https://orcid.org/0000-0002-1884-6229","contributorId":2623,"corporation":false,"usgs":true,"family":"Simons","given":"Theodore","email":"tsimons@usgs.gov","middleInitial":"R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":652591,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gardner, Beth","contributorId":91612,"corporation":false,"usgs":false,"family":"Gardner","given":"Beth","affiliations":[{"id":13553,"text":"University of Washington-Seattle","active":true,"usgs":false}],"preferred":false,"id":652606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maurer, Andrew S.","contributorId":176508,"corporation":false,"usgs":false,"family":"Maurer","given":"Andrew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":652607,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O’Connell, Allan F. 0000-0001-7032-7023 aoconnell@usgs.gov","orcid":"https://orcid.org/0000-0001-7032-7023","contributorId":471,"corporation":false,"usgs":true,"family":"O’Connell","given":"Allan","email":"aoconnell@usgs.gov","middleInitial":"F.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":652608,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70177946,"text":"70177946 - 2017 - Maternal androgens in avian brood parasites and their hosts: responses to parasitism and competition?","interactions":[],"lastModifiedDate":"2016-11-10T09:08:36","indexId":"70177946","displayToPublicDate":"2016-10-13T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1738,"text":"General and Comparative Endocrinology","active":true,"publicationSubtype":{"id":10}},"title":"Maternal androgens in avian brood parasites and their hosts: responses to parasitism and competition?","docAbstract":"In the coevolutionary dynamic of avian brood parasites and their hosts, maternal (or transgenerational) effects have rarely been investigated. We examined the potential role of elevated yolk testosterone in eggs of the principal brood parasite in North America, the brown-headed cowbird, and three of its frequent host species. Elevated maternal androgens in eggs are a common maternal effect observed in many avian species when breeding conditions are unfavorable. These steroids accelerate embryo development, shorten incubation period, increase nestling growth rate, and enhance begging vigor, all traits that can increase the survival of offspring. We hypothesized that elevated maternal androgens in host eggs are a defense against brood parasitism. Our second hypothesis was that elevated maternal androgens in cowbird eggs are a defense against intra-specific competition. For host species, we found that elevated yolk testosterone was correlated with parasitized nests of small species, those whose nest success is most reduced by cowbird parasitism. For cowbirds, we found that elevated yolk testosterone was correlated with eggs in multiply-parasitized nests, which indicate intra-specific competition for nests due to high cowbird density. We propose experimental work to further examine the use of maternal effects by cowbirds and their hosts.","language":"English","publisher":"Elsevier","doi":"10.1016/j.ygcen.2016.10.004","usgsCitation":"Hahn, C., Wingfield, J.C., Fox, D.M., Walker, B.G., and Thomley, J.E., 2017, Maternal androgens in avian brood parasites and their hosts: responses to parasitism and competition?: General and Comparative Endocrinology, v. 240, p. 143-152, https://doi.org/10.1016/j.ygcen.2016.10.004.","productDescription":"10 p.","startPage":"143","endPage":"152","ipdsId":"IP-065676","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470213,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ygcen.2016.10.004","text":"Publisher Index Page"},{"id":330586,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"240","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58185828e4b0bb36a4c6f9f5","contributors":{"authors":[{"text":"Hahn, Caldwell 0000-0002-5242-2059 chahn@usgs.gov","orcid":"https://orcid.org/0000-0002-5242-2059","contributorId":3203,"corporation":false,"usgs":true,"family":"Hahn","given":"Caldwell","email":"chahn@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":652449,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wingfield, John C.","contributorId":176474,"corporation":false,"usgs":false,"family":"Wingfield","given":"John","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":652450,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fox, David M.","contributorId":176475,"corporation":false,"usgs":false,"family":"Fox","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":652451,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walker, Brian G.","contributorId":176476,"corporation":false,"usgs":false,"family":"Walker","given":"Brian","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":652452,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thomley, Jill E","contributorId":176477,"corporation":false,"usgs":false,"family":"Thomley","given":"Jill","email":"","middleInitial":"E","affiliations":[],"preferred":false,"id":652453,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70177068,"text":"70177068 - 2017 - Ion-adsorption REEs in regolith of the Liberty Hill pluton, South Carolina, USA: An effect of hydrothermal alteration","interactions":[],"lastModifiedDate":"2018-10-22T09:18:20","indexId":"70177068","displayToPublicDate":"2016-10-11T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2302,"text":"Journal of Geochemical Exploration","active":true,"publicationSubtype":{"id":10}},"title":"Ion-adsorption REEs in regolith of the Liberty Hill pluton, South Carolina, USA: An effect of hydrothermal alteration","docAbstract":"<p><span>Ion-adsorbed rare earth element (REE) deposits supply the majority of world heavy REE production and substantial light REE production, but relatively little is known of their occurrence outside Southeast Asia. We examined the distribution and forms of REEs on a North American pluton located in the highly weathered and slowly eroding South Carolina Piedmont. The Hercynian Liberty Hill pluton experiences a modern climate that includes ~&nbsp;1500&nbsp;mm annual rainfall and a mean annual temperature of 17&nbsp;°C. The pluton is medium- to coarse-grained biotite-amphibole granite with minor biotite granite facies. REE-bearing phases are diverse and include monazite, zircon, titanite, allanite, apatite and bastnäsite. Weathered profiles were sampled up to 7&nbsp;m-deep across the ~&nbsp;400&nbsp;km</span><sup>2&nbsp;</sup><span>pluton. In one profile, ion-adsorbed REEs plus yttrium (REE&nbsp;+&nbsp;Y) ranged up to 581&nbsp;mg/kg and accounted for up to 77% of total REE&nbsp;+&nbsp;Y in saprolite. In other profiles, ion-adsorbed REE&nbsp;+&nbsp;Y ranged 12–194&nbsp;mg/kg and only accounted for 3–37% of totals. The profile most enriched in ion-adsorbed REEs was located along the mapped boundary of two granite facies and contained trioctahedral smectite in the saprolite, evidence suggestive of hydrothermal alteration of biotite at that location. Post-emplacement deuteric alteration can generate easily weathered REE phases, particularly fluorocarbonates. In the case of Liberty Hill, hydrothermal alteration may have converted less soluble to more soluble REE minerals. Additionally, regolith P content was inversely correlated with the fraction ion-adsorbed REEs, and weathering related secondary REE-phosphates were found in some regolith profiles. Both patterns illustrate how low P content aids in the accumulation of ion-adsorbed REEs. The localized occurrence at Liberty Hill sheds light on conditions and processes that generate ion-adsorbed REEs.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gexplo.2016.09.009","usgsCitation":"Bern, C., Yesavage, T., and Foley, N.K., 2017, Ion-adsorption REEs in regolith of the Liberty Hill pluton, South Carolina, USA: An effect of hydrothermal alteration: Journal of Geochemical Exploration, v. 172, p. 29-40, https://doi.org/10.1016/j.gexplo.2016.09.009.","productDescription":"12 p.","startPage":"29","endPage":"40","ipdsId":"IP-075234","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":470217,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gexplo.2016.09.009","text":"Publisher Index Page"},{"id":329737,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","otherGeospatial":"Liberty Hill Pluton","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.75818061828613,\n              34.49562815822762\n            ],\n            [\n              -80.75818061828613,\n              34.50447006777167\n            ],\n            [\n              -80.74298858642577,\n              34.50447006777167\n            ],\n            [\n              -80.74298858642577,\n              34.49562815822762\n            ],\n            [\n              -80.75818061828613,\n              34.49562815822762\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"172","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58088684e4b0f497e78e24b3","chorus":{"doi":"10.1016/j.gexplo.2016.09.009","url":"http://dx.doi.org/10.1016/j.gexplo.2016.09.009","publisher":"Elsevier BV","authors":"Bern Carleton R., Yesavage Tiffany, Foley Nora K.","journalName":"Journal of Geochemical Exploration","publicationDate":"1/2017"},"contributors":{"authors":[{"text":"Bern, Carleton R. cbern@usgs.gov","contributorId":657,"corporation":false,"usgs":true,"family":"Bern","given":"Carleton R.","email":"cbern@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":651205,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yesavage, Tiffany","contributorId":175456,"corporation":false,"usgs":false,"family":"Yesavage","given":"Tiffany","affiliations":[{"id":27571,"text":"USGS volunteer","active":true,"usgs":false}],"preferred":false,"id":651206,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foley, Nora K. 0000-0003-0124-3509 nfoley@usgs.gov","orcid":"https://orcid.org/0000-0003-0124-3509","contributorId":4010,"corporation":false,"usgs":true,"family":"Foley","given":"Nora","email":"nfoley@usgs.gov","middleInitial":"K.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":651207,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70178066,"text":"70178066 - 2017 - Selecting focal species as surrogates for imperiled species using relative sensitivities derived from occupancy analysis","interactions":[],"lastModifiedDate":"2016-11-10T09:07:31","indexId":"70178066","displayToPublicDate":"2016-10-04T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Selecting focal species as surrogates for imperiled species using relative sensitivities derived from occupancy analysis","docAbstract":"<p><span>Most imperiled species are rare or elusive and difficult to detect, which makes gathering data to estimate their response to habitat restoration a challenge. We used a repeatable, systematic method for selecting focal species using relative sensitivities derived from occupancy analysis. Our objective was to select suites of focal species that would be useful as surrogates when predicting effects of restoration of habitat characteristics preferred by imperiled species. We developed 27 habitat profiles that represent general habitat relationships for 118 imperiled species. We identified 23 regularly encountered species that were sensitive to important aspects of those profiles. We validated our approach by examining the correlation between estimated probabilities of occupancy for species of concern and focal species selected using our method. Occupancy rates of focal species were more related to occupancy rates of imperiled species when they were sensitive to more of the parameters appearing in profiles of imperiled species. We suggest that this approach can be an effective means of predicting responses by imperiled species to proposed management actions. However, adequate monitoring will be required to determine the effectiveness of using focal species to guide management actions.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2016.09.043","usgsCitation":"Silvano, A., Guyer, C., Steury, T., and Grand, J.B., 2017, Selecting focal species as surrogates for imperiled species using relative sensitivities derived from occupancy analysis: Ecological Indicators, v. 73, p. 302-311, https://doi.org/10.1016/j.ecolind.2016.09.043.","productDescription":"10 p.","startPage":"302","endPage":"311","ipdsId":"IP-060408","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":330640,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Barry 0000-0002-3576-4567 barry_grand@usgs.gov","orcid":"https://orcid.org/0000-0002-3576-4567","contributorId":579,"corporation":false,"usgs":true,"family":"Grand","given":"J.","email":"barry_grand@usgs.gov","middleInitial":"Barry","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":652692,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70176504,"text":"70176504 - 2017 - Habitat selection by postbreeding female diving ducks: Influence of habitat attributes and conspecifics","interactions":[],"lastModifiedDate":"2017-03-03T11:11:45","indexId":"70176504","displayToPublicDate":"2016-09-19T15:30:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2190,"text":"Journal of Avian Biology","active":true,"publicationSubtype":{"id":10}},"title":"Habitat selection by postbreeding female diving ducks: Influence of habitat attributes and conspecifics","docAbstract":"<p><span>Habitat selection studies of postbreeding waterfowl have rarely focused on within-wetland attributes such as water depth, escape cover, and food availability. Flightless waterfowl must balance habitat selection between avoiding predation risks and feeding. Reproductively successful female ducks face the greatest challenges because they begin the definitive prebasic molt at or near the end of brood rearing, when their body condition is at a low point. We assessed the relative importance of habitat attributes and group effects in habitat selection by postbreeding female lesser scaup </span><i>Aythya affinis</i><span> on a 2332-ha montane wetland complex during the peak flightless period (August) over seven years. Hypothesis-based habitat attributes included percent open water, open water:emergent edge density, water depth, percent flooded bare substrate, fetch (distance wind can travel unobstructed), group size, and several interactions representing functional responses to interannual variation in water levels. Surveys of uniquely marked females were conducted within randomly ordered survey blocks. We fitted two-part generalized linear mixed-effects models to counts of marked females within survey blocks, which allowed us to relate habitat attributes to relative probability of occurrence and, given the presence of a marked female, abundance of marked individuals. Postbreeding female scaup selected areas with water depths &gt; 40 cm, large open areas, and intermediate edge densities but showed no relation to flooded bare substrate, suggesting their habitat preferences were more influenced by avoiding predation risks and disturbances than in meeting foraging needs. Grouping behavior by postbreeding scaup suggests habitat selection is influenced in part by behavioral components and/or social information, conferring energetic and survival benefits (predation and disturbance risks) but potentially also contributing to competition for food resources. This study demonstrates the importance of incorporating group effects and interannual variability in habitat conditions when investigating habitat selection, particularly for seasons when waterfowl are aggregated.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jav.01063","usgsCitation":"Austin, J.E., O’Neil, S.T., and Warren, J.M., 2017, Habitat selection by postbreeding female diving ducks: Influence of habitat attributes and conspecifics: Journal of Avian Biology, v. 48, no. 2, p. 295-308, https://doi.org/10.1111/jav.01063.","productDescription":"14 p.","startPage":"295","endPage":"308","ipdsId":"IP-071346","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":328730,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-07","publicationStatus":"PW","scienceBaseUri":"57f7c63de4b0bc0bec09c88c","chorus":{"doi":"10.1111/jav.01063","url":"http://dx.doi.org/10.1111/jav.01063","publisher":"Wiley-Blackwell","authors":"Austin Jane E., O'Neil Shawn T., Warren Jeffrey M.","journalName":"Journal of Avian Biology","publicationDate":"9/2016","publiclyAccessibleDate":"9/7/2016"},"contributors":{"authors":[{"text":"Austin, Jane E. jaustin@usgs.gov","contributorId":2839,"corporation":false,"usgs":true,"family":"Austin","given":"Jane","email":"jaustin@usgs.gov","middleInitial":"E.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":649010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Neil, Shawn T.","contributorId":62533,"corporation":false,"usgs":true,"family":"O’Neil","given":"Shawn","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":649011,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warren, Jeffrey M.","contributorId":16297,"corporation":false,"usgs":true,"family":"Warren","given":"Jeffrey","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":649012,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70175520,"text":"70175520 - 2017 - Evaluating alternative methods for biophysical and cultural ecosystem services hotspot mapping in natural resource planning","interactions":[],"lastModifiedDate":"2017-01-19T14:11:04","indexId":"70175520","displayToPublicDate":"2016-08-16T11:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating alternative methods for biophysical and cultural ecosystem services hotspot mapping in natural resource planning","docAbstract":"<p>Context</p>\n<p>Data for biophysically modeled and Public Participatory GIS (PPGIS)-derived cultural ecosystem services have potential to identify natural resource management synergies and conflicts, but have rarely been combined. Ecosystem service hot/coldspots generated using different methods vary in their spatial extent and connectivity, with important implications.</p>\n<p>Objectives</p>\n<p>We map biophysically modeled and PPGIS-derived cultural services for six U.S. national forests using six hot/coldspot delineation methods. We evaluate the implications of hotspot methods for management within and outside of designated wilderness areas.</p>\n<p>Methods</p>\n<p>We used the ARIES and SolVES modeling tools to quantify four biophysically modeled and 11 largely cultural ecosystem services for six national forests in Colorado and Wyoming, USA. We mapped hot/coldspots using two quantile methods (top and bottom 10 and 33 % of values), two area-based methods (top and bottom 10 and 33 % of area), and two statistical methods (Getis-Ord Gi* at &alpha; = 0.05 and 0.10 significance level) and compare results within and outside wilderness areas.</p>\n<p>Results</p>\n<p>Delineation methods vary in their degree of conservatism for hot/coldspot extents and spatial clustering. Hotspots were more common in wilderness areas in national forests near the more densely populated Colorado Front Range, while coldspots were more common in wilderness areas in more urban-distant forests in northwest Wyoming.</p>\n<p>Conclusions</p>\n<p>Statistical hotspot methods of intermediate conservatism (i.e., Getis-Ord Gi*, &alpha; = 0.10 significance) may be most useful for ecosystem service hot/coldspot mapping to inform landscape scale planning. We also found spatially explicit evidence in support of past findings about public attitudes toward wilderness areas.</p>","language":"English","publisher":"International Association of Landscape Ecology","doi":"10.1007/s10980-016-0430-6","usgsCitation":"Bagstad, K.J., Semmens, D.J., Ancona, Z.H., and Sherrouse, B.C., 2017, Evaluating alternative methods for biophysical and cultural ecosystem services hotspot mapping in natural resource planning: Landscape Ecology, v. 32, no. 1, p. 77-97, https://doi.org/10.1007/s10980-016-0430-6.","productDescription":"21 p.","startPage":"77","endPage":"97","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065847","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":326546,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-11","publicationStatus":"PW","scienceBaseUri":"57b42b30e4b03bcb01039f8c","chorus":{"doi":"10.1007/s10980-016-0430-6","url":"http://dx.doi.org/10.1007/s10980-016-0430-6","publisher":"Springer Nature","authors":"Bagstad Kenneth J., Semmens Darius J., Ancona Zachary H., Sherrouse Benson C.","journalName":"Landscape Ecology","publicationDate":"8/11/2016","auditedOn":"2/15/2017","publiclyAccessibleDate":"8/11/2016"},"contributors":{"authors":[{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":645553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Semmens, Darius J. 0000-0001-7924-6529 dsemmens@usgs.gov","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":1714,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius","email":"dsemmens@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":645554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ancona, Zachary H. 0000-0001-5430-0218 zancona@usgs.gov","orcid":"https://orcid.org/0000-0001-5430-0218","contributorId":5578,"corporation":false,"usgs":true,"family":"Ancona","given":"Zachary","email":"zancona@usgs.gov","middleInitial":"H.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":645555,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sherrouse, Benson C. 0000-0002-5102-5895 bcsherrouse@usgs.gov","orcid":"https://orcid.org/0000-0002-5102-5895","contributorId":2445,"corporation":false,"usgs":true,"family":"Sherrouse","given":"Benson","email":"bcsherrouse@usgs.gov","middleInitial":"C.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":645556,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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