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We examined flea diversity on three species of prairie dogs (</span><i>Cynomys</i><span>&nbsp;spp., PDs) and six species of sympatric small rodents in Montana and Utah, United States of America. Among 2896 fleas, 19 species were identified; 13 were found on PDs and 9 were found on small rodents. In Montana, three flea species were found on PDs; the three species parasitize PDs and mice. In Utah, 12 flea species were found on PDs; the 12 species parasitize PDs, mice, voles, chipmunks, ground squirrels, rock squirrels, and marmots. Diverse flea communities and their willingness to parasitize many types of hosts, across multiple seasons and habitats, may favor plague maintenance and transmission. Flea parasitism on&nbsp;</span><i>Peromyscus</i><span>&nbsp;deer mice varied directly with elevation. Fleas are prone to desiccation, and might prosper at higher, mesic elevations; in addition,&nbsp;</span><i>Peromyscus</i><span>&nbsp;nest characteristics may vary with elevation. Effective management of plague is critical. Plague management is probably most effective when encompassing communities of rodents and fleas. Treatment of PD burrows with 0.05% deltamethrin dust, which suppressed fleas on PDs for &gt;365 days, suppressed fleas on small rodents for at least 58 days. At one site, deltamethrin suppressed fleas on small rodents for at least 383 days. By simultaneously suppressing fleas on PDs and small rodents, deltamethrin should promote ecosystem resilience and One Health objectives.</span></p>","language":"English","publisher":"Mary Ann Liebert Inc.","doi":"10.1089/vbz.2020.2625","usgsCitation":"Eads, D.A., Biggins, D.E., and Gage, K., 2020, Ecology and management of plague in diverse communities of rodents and fleas: Vector-Borne and Zoonotic Diseases, v. 20, no. 12, p. 888-896, https://doi.org/10.1089/vbz.2020.2625.","productDescription":"9 p.","startPage":"888","endPage":"896","ipdsId":"IP-116656","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":396356,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, Utah","county":"Phillips 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,{"id":70215041,"text":"fs20203046 - 2020 - Assessment of undiscovered conventional oil and gas resources of Southeast Asia, 2020","interactions":[],"lastModifiedDate":"2020-11-24T20:45:34.926372","indexId":"fs20203046","displayToPublicDate":"2020-11-24T10:05:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2020-3046","displayTitle":"Assessment of Undiscovered Conventional Oil and Gas Resources of Southeast Asia, 2020","title":"Assessment of undiscovered conventional oil and gas resources of Southeast Asia, 2020","docAbstract":"<p>Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 10.5 billion barrels of oil and 271.5 trillion cubic feet of gas within 33 geologic provinces of Southeast Asia.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20203046","usgsCitation":"Schenk, C.J., Mercier, T.J., Woodall, C.A., Finn, T.M., Le, P.A., Marra, K.R., Leathers-Miller, H.M., and Drake, R.M., II, 2020, Assessment of undiscovered conventional oil and gas resources of Southeast Asia, 2020 (ver. 1.1, November 2020): U.S. Geological Survey Fact Sheet 2020–3046, 2 p., https://doi.org/10.3133/fs20203046.","productDescription":"Report: 2 p.; Version History","onlineOnly":"N","ipdsId":"IP-118093","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":436714,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BI2N1N","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project&ndash;Southeast Asia Assessment Unit Boundaries, Assessment Input Forms, and Assessment Results Data Table (ver. 2.0, June 2023)"},{"id":380723,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2020/3046/versionHist.txt","text":"Version History","size":"4.0 kB","linkFileType":{"id":2,"text":"txt"},"description":"version history"},{"id":379102,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2020/3046/fs20203046.pdf","text":"Report","size":"9.02 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2020-3046"},{"id":379101,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2020/3046/coverthb2.jpg"}],"country":"Burma, Cambodia, Indonesia, Laos, Malaysia, Philippines, Singapore, Thailand, Vietnam","otherGeospatial":"Southeast Asia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              92.8125,\n              -10.31491928581316\n            ],\n            [\n              128.583984375,\n              -10.31491928581316\n            ],\n            [\n              128.583984375,\n              29.152161283318915\n            ],\n            [\n              92.8125,\n              29.152161283318915\n            ],\n            [\n              92.8125,\n              -10.31491928581316\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0: October  2019; Version 1.1: November 2020","contact":"<p>Director, <a href=\"http://energy.usgs.gov/\" data-mce-href=\"http://energy.usgs.gov/\">Central Energy Resources Science Center</a><br>U.S. Geological Survey<br>Box 25046, MS-939<br>Denver, CO 80225-0046</p>","tableOfContents":"<ul><li>Introduction</li><li>Undiscovered Resources Summary</li><li>References Cited</li></ul>","publishedDate":"2020-10-08","revisedDate":"2020-11-24","noUsgsAuthors":false,"publicationDate":"2020-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":800642,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mercier, Tracey J. 0000-0002-8232-525X tmercier@usgs.gov","orcid":"https://orcid.org/0000-0002-8232-525X","contributorId":2847,"corporation":false,"usgs":true,"family":"Mercier","given":"Tracey","email":"tmercier@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":800643,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woodall, Cheryl A. 0000-0002-4844-5768 cwoodall@usgs.gov","orcid":"https://orcid.org/0000-0002-4844-5768","contributorId":194924,"corporation":false,"usgs":true,"family":"Woodall","given":"Cheryl","email":"cwoodall@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":800644,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Finn, Thomas M. 0000-0001-6396-9351 finn@usgs.gov","orcid":"https://orcid.org/0000-0001-6396-9351","contributorId":778,"corporation":false,"usgs":true,"family":"Finn","given":"Thomas","email":"finn@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":800645,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Le, Phuong A. 0000-0003-2477-509X ple@usgs.gov","orcid":"https://orcid.org/0000-0003-2477-509X","contributorId":150418,"corporation":false,"usgs":true,"family":"Le","given":"Phuong","email":"ple@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":800646,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Marra, Kristen R. 0000-0001-8027-5255 kmarra@usgs.gov","orcid":"https://orcid.org/0000-0001-8027-5255","contributorId":4844,"corporation":false,"usgs":true,"family":"Marra","given":"Kristen","email":"kmarra@usgs.gov","middleInitial":"R.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":800647,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Leathers-Miller, Heidi M. 0000-0001-5208-9906 hleathers@usgs.gov","orcid":"https://orcid.org/0000-0001-5208-9906","contributorId":150419,"corporation":false,"usgs":true,"family":"Leathers-Miller","given":"Heidi","email":"hleathers@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":800648,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Drake, Ronald M. II 0000-0002-1770-4667 rmdrake@usgs.gov","orcid":"https://orcid.org/0000-0002-1770-4667","contributorId":1353,"corporation":false,"usgs":true,"family":"Drake","given":"Ronald","suffix":"II","email":"rmdrake@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":800649,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70217198,"text":"70217198 - 2020 - Critical shifts in trace metal transport and remediation performance under future low river flows","interactions":[],"lastModifiedDate":"2021-01-12T13:25:25.078301","indexId":"70217198","displayToPublicDate":"2020-11-24T07:22:05","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Critical shifts in trace metal transport and remediation performance under future low river flows","docAbstract":"<div class=\"article_abstract\"><div class=\"container container_scaled-down\"><div class=\"row\"><div class=\"col-xs-12\"><div id=\"abstractBox\" class=\"article_abstract-content hlFld-Abstract\"><p class=\"articleBody_abstractText\">Exceptionally low river flows are predicted to become more frequent and more severe across many global regions as a consequence of climate change. Investigations of trace metal transport dynamics across streamflows reveal stark changes in water chemistry, metal transformation processes, and remediation effectiveness under exceptionally low-flow conditions. High spatial resolution hydrological and water quality datasets indicate that metal-rich groundwater will exert a greater control on stream water chemistry and metal concentrations because of climate change. This is because the proportion of stream water sourced from mined areas and mineralized strata will increase under predicted future low-flow scenarios (from 25% under Q45 flow to 66% under Q99 flow in this study). However, mineral speciation modelling indicates that changes in stream pH and hydraulic conditions at low flow will decrease aqueous metal transport and increase sediment metal concentrations by enhancing metal sorption directly to streambed sediments. Solute transport modelling further demonstrates how increases in the importance of metal-rich diffuse groundwater sources at low flow could minimize the benefits of point source metal contamination treatment. Understanding metal transport dynamics under exceptionally low flows, as well as under high flows, is crucial to evaluate ecosystem service provision and remediation effectiveness in watersheds under future climate change scenarios.</p></div></div></div></div></div>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.0c04016","usgsCitation":"Byrne, P.A., Onnis, P., Runkel, R.L., Frau, I., Lynch, S.F., and Edwards, P., 2020, Critical shifts in trace metal transport and remediation performance under future low river flows: Environmental Science & Technology, v. 54, no. 24, p. 15742-15750, https://doi.org/10.1021/acs.est.0c04016.","productDescription":"9 p.","startPage":"15742","endPage":"15750","ipdsId":"IP-119631","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":454761,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.0c04016","text":"Publisher Index Page"},{"id":382090,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"England","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -4.350585937499999,\n              52.01193653675363\n            ],\n            [\n              -2.724609375,\n              52.01193653675363\n            ],\n            [\n              -2.724609375,\n              52.82932091031373\n            ],\n            [\n              -4.350585937499999,\n              52.82932091031373\n            ],\n            [\n              -4.350585937499999,\n              52.01193653675363\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"54","issue":"24","noUsgsAuthors":false,"publicationDate":"2020-11-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Byrne, Patrick A.","contributorId":247578,"corporation":false,"usgs":false,"family":"Byrne","given":"Patrick","email":"","middleInitial":"A.","affiliations":[{"id":49583,"text":"Liverpool John Moores University","active":true,"usgs":false}],"preferred":false,"id":807951,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Onnis, Patrizia","contributorId":247579,"corporation":false,"usgs":false,"family":"Onnis","given":"Patrizia","affiliations":[{"id":49583,"text":"Liverpool John Moores University","active":true,"usgs":false}],"preferred":false,"id":807952,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807953,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frau, Ilaria","contributorId":247580,"corporation":false,"usgs":false,"family":"Frau","given":"Ilaria","email":"","affiliations":[{"id":49583,"text":"Liverpool John Moores University","active":true,"usgs":false}],"preferred":false,"id":807954,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lynch, Sarah F. L.","contributorId":247581,"corporation":false,"usgs":false,"family":"Lynch","given":"Sarah","email":"","middleInitial":"F. L.","affiliations":[{"id":13386,"text":"AECOM","active":true,"usgs":false}],"preferred":false,"id":807955,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Edwards, Paul","contributorId":247582,"corporation":false,"usgs":false,"family":"Edwards","given":"Paul","email":"","affiliations":[{"id":16759,"text":"Swansea University","active":true,"usgs":false}],"preferred":false,"id":807956,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70223327,"text":"70223327 - 2020 - Deep-sea coral and sponge taxa increase demersal fish diversity and the probability of fish presence","interactions":[],"lastModifiedDate":"2021-09-14T16:57:46.030265","indexId":"70223327","displayToPublicDate":"2020-11-23T17:37:31","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Deep-sea coral and sponge taxa increase demersal fish diversity and the probability of fish presence","docAbstract":"<p><span>Fishes are known to use deep-sea coral and sponge (DSCS) species as habitat, but it is uncertain whether this relationship is facultative (circumstantial and not restricted to a particular function) or obligate (necessary to sustain fish populations). To explore whether DSCS provide essential habitats for demersal fishes, we analyzed 10 years of submersible survey video transect data, documenting the locations and abundance of DSCS and demersal fishes in the Southern California Bight (SCB). We first classified the different habitats in which fishes and DSCS taxa occurred using cluster analysis, which revealed four distinct DSCS assemblages based on depth and substratum. We then used logistic regression and gradient forest analysis to identify the ecological correlates most associated with the presence of rockfish taxa (</span><i>Sebastes</i><span>&nbsp;spp.) and biodiversity. After accounting for spatial autocorrelation, the factors most related to the presence of rockfishes were depth, coral height, and the abundance of a few key DSCS taxa. Of particular interest, we found that young-of-the-year rockfishes were more likely to be present in locations with taller coral and increased densities of&nbsp;</span><i>Plumarella longispina</i><span>,&nbsp;</span><i>Lophelia pertusa</i><span>, and two sponge taxa. This suggests these DSCS taxa may serve as important rearing habitat for rockfishes. Similarly, the gradient forest analysis found the most important ecological correlates for fish biodiversity were depth, coral cover, coral height, and a subset of DSCS taxa. Of the 10 top-ranked DSCS taxa in the gradient forest (out of 39 potential DSCS taxa), 6 also were associated with increased probability of fish presence in the logistic regression. The weight of evidence from these multiple analytical methods suggests that this subset of DSCS taxa are important fish habitats. In this paper we describe methods to characterize demersal communities and highlight which DSCS taxa provide habitat to demersal fishes, which is valuable information to fisheries agencies tasked to manage these fishes and their essential habitats.</span></p>","language":"English","publisher":"Frontiers","doi":"10.3389/fmars.2020.593844","usgsCitation":"Henderson, M., Huff, D., and Yoklavich, M., 2020, Deep-sea coral and sponge taxa increase demersal fish diversity and the probability of fish presence: Frontiers in Marine Science, v. 7, 593844, 19 p., https://doi.org/10.3389/fmars.2020.593844.","productDescription":"593844, 19 p.","ipdsId":"IP-102115","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":454762,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2020.593844","text":"Publisher Index Page"},{"id":388395,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.025390625,\n              32.879587173066305\n            ],\n            [\n              -117.66357421875,\n              32.879587173066305\n            ],\n            [\n              -117.66357421875,\n              34.43409789359469\n            ],\n            [\n              -121.025390625,\n              34.43409789359469\n            ],\n            [\n              -121.025390625,\n              32.879587173066305\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"7","noUsgsAuthors":false,"publicationDate":"2020-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Henderson, Mark J. 0000-0002-2861-8668 mhenderson@usgs.gov","orcid":"https://orcid.org/0000-0002-2861-8668","contributorId":198609,"corporation":false,"usgs":true,"family":"Henderson","given":"Mark J.","email":"mhenderson@usgs.gov","affiliations":[],"preferred":false,"id":821760,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huff, D.D.","contributorId":264617,"corporation":false,"usgs":false,"family":"Huff","given":"D.D.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":821761,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yoklavich, M.M","contributorId":264618,"corporation":false,"usgs":false,"family":"Yoklavich","given":"M.M","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":821762,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70216390,"text":"sir20205081 - 2020 - Assessment of Ambystomatid salamander populations and their breeding habitats in the Delaware Water Gap National Recreation Area","interactions":[],"lastModifiedDate":"2024-03-04T19:37:36.850638","indexId":"sir20205081","displayToPublicDate":"2020-11-23T10:50:00","publicationYear":"2020","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":"2020-5081","displayTitle":"Assessment of Ambystomatid Salamander Populations and Their Breeding Habitats in the Delaware Water Gap National Recreation Area","title":"Assessment of Ambystomatid salamander populations and their breeding habitats in the Delaware Water Gap National Recreation Area","docAbstract":"<p>This report presents abundance and occurrence data for three species of ambystomad salamanders (<i>Ambystoma maculatum, A. jeffersonianum,</i> and <i>A. opacum</i>) collected over a 3-year period (2000, 2001, and 2002) at 200 potentional breeding sies within the Delaware Water Gap National Recreation Area (DEWA). In addition, numerous measures of inpond, near-pond, and landscape attributes were measured and used to inform statistical models to determine species-habitat relationships in the DEWA.</p><p>The results of a 3-year study of ambystomatid salamander breeding habits and habitats in the (DEWA) that was conducted by the U.S. Geological Survey, in cooperation with the National Park Service, are described in the report. The objectives of the study were to document the population status and critical breeding habitats of the three species of ambystomatid salamanders known to be present in the DEWA—<i>Ambystoma maculatum</i> (spotted salamander), <i>A. opacum</i> (marbled salamander), and <i>A. jeffersonianum</i> (Jefferson salamander). DEWA managers are interested in ecological information on these species for several reasons. First, at the time the study began, there was little known regarding the status of pond-breeding amphibians and their habitats in the DEWA. Second, because they require undegraded habitats in both terrestrial and aquatic habitats to successfully complete their life cycles, the status of ambystomatid salamanders is widely viewed as indicative of overall ecosystem health. Third, because ambystomatid salamanders and other pond-breeding amphibians have been observed in numerous artificial impoundments with the DEWA, park managers would like to assess whether dismantling or discontinuing maintenance of artificial impoundments could affect pond-breeding amphibians and possibly other species that use pond or wetland habitats in the Park.</p><p>In 2001, 2002, and 2003, the size and location of 200 wetlands, ponds, and artificial impoundments, and related landscape positions (Ridge versus Valley; Pennsylvania side versus New Jersey side of the Delaware river) were mapped, and site habitat data relating to salamander occurrence and abundance patterns were collected. The data collected during this study provide important new baseline information on ambystomatid salamanders and wetland habitats in the DEWA that will enhance long-term inventory and monitoring efforts. In addition, breeding habitat assessments indicate that ambystomatid salamanders may be sensitive to a wide variety of stresses important in the DEWA and in the region. In particular, recent trends in development (for example, roads) in and near the DEWA, regional increases in the acidity of precipitation, and predicted long-term warming trends for the region could be detrimental to pond-breeding salamander populations because of their effects on breeding site quality and quantity, and on the integrity of migration corridors. In contrast, the results of the study indicate management plans to eliminate small impoundments are not likely to adversely affect salamanders in DEWA, at least in the short-term. However, it is possible that these small impoundments may offer stable habitats that provide a rescure effect during long-term droughts.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205081","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Snyder, C.D., Young, J.A., Julian, J.T., King, T.L., and Julian, S.E., 2020, Assessment of Ambystomatid salamander populations and their breeding habitats in the Delaware Water Gap National Recreation Area: U.S. Geological Survey Scientific Investigations Report 2020–5081, 41 p., https://doi.org/10.3133/sir20205081.","productDescription":"Report: viii, 41 p.; Data Release","numberOfPages":"41","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-113175","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science 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\"coordinates\": [\n          [\n            [\n              -74.7564697265625,\n              41.380930388318\n            ],\n            [\n              -74.8992919921875,\n              41.29844430929419\n            ],\n            [\n              -74.9761962890625,\n              41.18278832811288\n            ],\n            [\n              -75.1080322265625,\n              41.06692773019345\n            ],\n            [\n              -75.179443359375,\n              40.992337919312305\n            ],\n            [\n              -75.1629638671875,\n              40.93011520598305\n            ],\n            [\n              -75.0970458984375,\n              40.93841495689795\n            ],\n            [\n              -74.893798828125,\n              41.075210270566636\n            ],\n            [\n              -74.6630859375,\n              41.253032440653186\n            ],\n            [\n              -74.7564697265625,\n              41.380930388318\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/eesc\" data-mce-href=\"https://www.usgs.gov/centers/eesc\">Eastern Ecological Science Center</a><br>11649 Leetown Road<br>Kearneysville, WV 25430</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Study Area</li><li>Methods</li><li>Findings</li><li>Discussion</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2020-11-23","noUsgsAuthors":false,"publicationDate":"2020-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Snyder, Craig D. 0000-0002-3448-597X csnyder@usgs.gov","orcid":"https://orcid.org/0000-0002-3448-597X","contributorId":2568,"corporation":false,"usgs":true,"family":"Snyder","given":"Craig","email":"csnyder@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":804867,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Young, John A. 0000-0002-4500-3673 jyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-3673","contributorId":3777,"corporation":false,"usgs":true,"family":"Young","given":"John","email":"jyoung@usgs.gov","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":804868,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Julian, James T.","contributorId":244030,"corporation":false,"usgs":false,"family":"Julian","given":"James","email":"","middleInitial":"T.","affiliations":[{"id":48803,"text":"Pennsylvania Department of Conservation and Natural Resources, Mira Lloyd Dock Resource Conservation Center","active":true,"usgs":false}],"preferred":false,"id":804869,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"King, Tim L. tlking@usgs.gov","contributorId":3520,"corporation":false,"usgs":true,"family":"King","given":"Tim","email":"tlking@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":804870,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Julian, Shanon E.","contributorId":244894,"corporation":false,"usgs":false,"family":"Julian","given":"Shanon","email":"","middleInitial":"E.","affiliations":[{"id":34554,"text":"U.S. Fish and Wildlife Service Northeast Fishery Center","active":true,"usgs":false}],"preferred":false,"id":804871,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70216751,"text":"70216751 - 2020 - U.S. mineral supply chain security in the age of pandemics and trade wars","interactions":[],"lastModifiedDate":"2020-12-04T15:53:22.134457","indexId":"70216751","displayToPublicDate":"2020-11-23T09:48:41","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7448,"text":"The Science Breaker","active":true,"publicationSubtype":{"id":10}},"title":"U.S. mineral supply chain security in the age of pandemics and trade wars","docAbstract":"Modern technology makes use of numerous mineral commodities whose production is concentrated in a few countries. New research identifies the commodities whose supply disruption poses the greatest risk to the manufacturing sector. While the analysis is applied to the U.S. manufacturing sector, the principles are equally applicable to other economies heavily reliant on imported mineral materials.","language":"English","publisher":"The Science Breaker","doi":"10.25250/thescbr.brk421","usgsCitation":"Nassar, N., and Fortier, S.M., 2020, U.S. mineral supply chain security in the age of pandemics and trade wars: The Science Breaker, HTML Document, https://doi.org/10.25250/thescbr.brk421.","productDescription":"HTML Document","ipdsId":"IP-118370","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":454764,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.25250/thescbr.brk421","text":"Publisher Index Page"},{"id":380983,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nassar, Nedal 0000-0001-8758-9732 nnassar@usgs.gov","orcid":"https://orcid.org/0000-0001-8758-9732","contributorId":196630,"corporation":false,"usgs":true,"family":"Nassar","given":"Nedal","email":"nnassar@usgs.gov","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":false,"id":806065,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fortier, Steven M. 0000-0001-8123-5749","orcid":"https://orcid.org/0000-0001-8123-5749","contributorId":202406,"corporation":false,"usgs":true,"family":"Fortier","given":"Steven","email":"","middleInitial":"M.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":806066,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70227148,"text":"70227148 - 2020 - Linking mosquito surveillance to dengue fever through Bayesian mechanistic modeling","interactions":[],"lastModifiedDate":"2022-01-03T15:52:27.699945","indexId":"70227148","displayToPublicDate":"2020-11-23T09:25:28","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5023,"text":"PLoS Neglected Tropical Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Linking mosquito surveillance to dengue fever through Bayesian mechanistic modeling","docAbstract":"<p><span>Our ability to effectively prevent the transmission of the dengue virus through targeted control of its vector,&nbsp;</span><i>Aedes aegypti</i><span>, depends critically on our understanding of the link between mosquito abundance and human disease risk. Mosquito and clinical surveillance data are widely collected, but linking them requires a modeling framework that accounts for the complex non-linear mechanisms involved in transmission. Most critical are the bottleneck in transmission imposed by mosquito lifespan relative to the virus’ extrinsic incubation period, and the dynamics of human immunity. We developed a differential equation model of dengue transmission and embedded it in a Bayesian hierarchical framework that allowed us to estimate latent time series of mosquito demographic rates from mosquito trap counts and dengue case reports from the city of Vitória, Brazil. We used the fitted model to explore how the timing of a pulse of adult mosquito control influences its effect on the human disease burden in the following year. We found that control was generally more effective when implemented in periods of relatively low mosquito mortality (when mosquito abundance was also generally low). In particular, control implemented in early September (week 34 of the year) produced the largest reduction in predicted human case reports over the following year. This highlights the potential long-term utility of broad, off-peak-season mosquito control in addition to existing, locally targeted within-season efforts. Further, uncertainty in the effectiveness of control interventions was driven largely by posterior variation in the average mosquito mortality rate (closely tied to total mosquito abundance) with lower mosquito mortality generating systems more vulnerable to control. Broadly, these correlations suggest that mosquito control is most effective in situations in which transmission is already limited by mosquito abundance.</span></p>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pntd.0008868","usgsCitation":"Leach, C.B., Hoeting, J., Pepin, K.M., Eiras, A.E., Hooten, M., and Colleen T. Webb, C., 2020, Linking mosquito surveillance to dengue fever through Bayesian mechanistic modeling: PLoS Neglected Tropical Diseases, v. 14, no. 11, p. 1-20, https://doi.org/10.1371/journal.pntd.0008868.","productDescription":"e0008868, 20 p.","startPage":"1","endPage":"20","ipdsId":"IP-107662","costCenters":[{"id":189,"text":"Colorado Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"links":[{"id":454766,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pntd.0008868","text":"Publisher Index Page"},{"id":393742,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil","state":"Espírito Santo","city":"Vitória","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -40.42968749999999,\n              -20.43473423110048\n            ],\n            [\n              -40.222320556640625,\n              -20.43473423110048\n            ],\n            [\n              -40.222320556640625,\n              -20.17456745043183\n            ],\n            [\n              -40.42968749999999,\n              -20.17456745043183\n            ],\n            [\n              -40.42968749999999,\n              -20.43473423110048\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"14","issue":"11","noUsgsAuthors":false,"publicationDate":"2020-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Leach, Clinton B.","contributorId":270703,"corporation":false,"usgs":false,"family":"Leach","given":"Clinton","email":"","middleInitial":"B.","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":829794,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoeting, Jennifer A.","contributorId":270704,"corporation":false,"usgs":false,"family":"Hoeting","given":"Jennifer A.","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":829795,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pepin, Kim M.","contributorId":270705,"corporation":false,"usgs":false,"family":"Pepin","given":"Kim","email":"","middleInitial":"M.","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":829796,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eiras, Alvaro E.","contributorId":270706,"corporation":false,"usgs":false,"family":"Eiras","given":"Alvaro","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":829797,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false}],"preferred":true,"id":829793,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Colleen T. Webb, Colleen T.","contributorId":270707,"corporation":false,"usgs":false,"family":"Colleen T. Webb","given":"Colleen T.","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":829798,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70226612,"text":"70226612 - 2020 - Evaluation of Arctic warming in mid-Pliocene climate simulations","interactions":[],"lastModifiedDate":"2021-12-01T13:03:35.899178","indexId":"70226612","displayToPublicDate":"2020-11-23T06:57:23","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1250,"text":"Climate of the Past","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of Arctic warming in mid-Pliocene climate simulations","docAbstract":"<p id=\"d1e473\">Palaeoclimate simulations improve our understanding of the climate, inform us about the performance of climate models in a different climate scenario, and help to identify robust features of the climate system. Here, we analyse Arctic warming in an ensemble of 16 simulations of the mid-Pliocene Warm Period (mPWP), derived from the Pliocene Model Intercomparison Project Phase 2 (PlioMIP2).</p><p id=\"d1e476\">The PlioMIP2 ensemble simulates Arctic (60–90<span class=\"inline-formula\"><sup>∘</sup></span> N) annual mean surface air temperature (SAT) increases of 3.7 to 11.6 <span class=\"inline-formula\"><sup>∘</sup></span>C compared to the pre-industrial period, with a multi-model mean (MMM) increase of 7.2 <span class=\"inline-formula\"><sup>∘</sup></span>C. The Arctic warming amplification ratio relative to global SAT anomalies in the ensemble ranges from 1.8 to 3.1 (MMM is 2.3). Sea ice extent anomalies range from<span>&nbsp;</span><span class=\"inline-formula\">−3.0</span><span>&nbsp;</span>to<span>&nbsp;</span><span class=\"inline-formula\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; id=&quot;M5&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot; dspmath=&quot;mathml&quot;><mrow><mo>-</mo><mn mathvariant=&quot;normal&quot;>10.4</mn><mo>&amp;#xD7;</mo><msup><mn mathvariant=&quot;normal&quot;>10</mn><mn mathvariant=&quot;normal&quot;>6</mn></msup></mrow></math>\"><span id=\"M5\" class=\"math\"><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mrow\"><span id=\"MathJax-Span-4\" class=\"mo\">−</span><span id=\"MathJax-Span-5\" class=\"mn\">10.4</span><span id=\"MathJax-Span-6\" class=\"mo\">×</span><span id=\"MathJax-Span-7\" class=\"msup\"><span id=\"MathJax-Span-8\" class=\"mn\">10</span><span id=\"MathJax-Span-9\" class=\"mn\">6</span></span></span></span></span></span></span></span> km<span class=\"inline-formula\"><sup>2</sup></span>, with a MMM anomaly of<span>&nbsp;</span><span class=\"inline-formula\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; id=&quot;M7&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot; dspmath=&quot;mathml&quot;><mrow><mo>-</mo><mn mathvariant=&quot;normal&quot;>5.6</mn><mo>&amp;#xD7;</mo><msup><mn mathvariant=&quot;normal&quot;>10</mn><mn mathvariant=&quot;normal&quot;>6</mn></msup></mrow></math>\"><span id=\"M7\" class=\"math\"><span><span id=\"MathJax-Span-11\" class=\"mrow\"><span id=\"MathJax-Span-12\" class=\"mrow\"><span id=\"MathJax-Span-13\" class=\"mo\">−</span><span id=\"MathJax-Span-14\" class=\"mn\">5.6</span><span id=\"MathJax-Span-15\" class=\"mo\">×</span><span id=\"MathJax-Span-16\" class=\"msup\"><span id=\"MathJax-Span-17\" class=\"mn\">10</span><span id=\"MathJax-Span-18\" class=\"mn\">6</span></span></span></span></span></span></span></span> km<span class=\"inline-formula\"><sup>2</sup></span>, which constitutes a decrease of 53 % compared to the pre-industrial period. The majority (11 out of 16) of models simulate summer sea-ice-free conditions (<span class=\"inline-formula\"><span id=\"MathJax-Element-3-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; id=&quot;M9&quot; display=&quot;inline&quot; overflow=&quot;scroll&quot; dspmath=&quot;mathml&quot;><mrow><mo>&amp;#x2264;</mo><mn mathvariant=&quot;normal&quot;>1</mn><mo>&amp;#xD7;</mo><msup><mn mathvariant=&quot;normal&quot;>10</mn><mn mathvariant=&quot;normal&quot;>6</mn></msup></mrow></math>\"><span id=\"M9\" class=\"math\"><span><span id=\"MathJax-Span-20\" class=\"mrow\"><span id=\"MathJax-Span-21\" class=\"mrow\"><span id=\"MathJax-Span-22\" class=\"mo\">≤</span><span id=\"MathJax-Span-23\" class=\"mn\">1</span><span id=\"MathJax-Span-24\" class=\"mo\">×</span><span id=\"MathJax-Span-25\" class=\"msup\"><span id=\"MathJax-Span-26\" class=\"mn\">10</span><span id=\"MathJax-Span-27\" class=\"mn\">6</span></span></span></span></span></span></span></span> km<span class=\"inline-formula\"><sup>2</sup>)</span><span>&nbsp;</span>in their mPWP simulation. The ensemble tends to underestimate SAT in the Arctic when compared to available reconstructions, although the degree of underestimation varies strongly between the simulations. The simulations with the highest Arctic SAT anomalies tend to match the proxy dataset in its current form better. The ensemble shows some agreement with reconstructions of sea ice, particularly with regard to seasonal sea ice. Large uncertainties limit the confidence that can be placed in the findings and the compatibility of the different proxy datasets. We show that while reducing uncertainties in the reconstructions could decrease the SAT data–model discord substantially, further improvements are likely to be found in enhanced boundary conditions or model physics. Lastly, we compare the Arctic warming in the mPWP to projections of future Arctic warming and find that the PlioMIP2 ensemble simulates greater Arctic amplification than CMIP5 future climate simulations and an increase instead of a decrease in Atlantic Meridional Overturning Circulation (AMOC) strength compared to pre-industrial period. The results highlight the importance of slow feedbacks in equilibrium climate simulations, and that caution must be taken when using simulations of the mPWP as an analogue for future climate change.</p>","language":"English","publisher":"European Geosciences Union","doi":"10.5194/cp-16-2325-2020","usgsCitation":"de Nooijer, W., Zhang, Q., Li, Q., Zhang, Q., Li, X., Zhang, Z., Guo, C., Nisancioglu, K.H., Haywood, A.M., Tindall, J.C., Dowsett, H.J., Stepanek, C., Lohman, G., Otto-Bliesner, B.L., Feng, R., Sohl, L., Chandler, M., Tan, N., Contoux, C., Ramstein, G., Baatsen, M., von der Heydt, A.S., Chandan, D., Peltier, W.R., Abe-Ouchi, A., Chan, W., Kamae, Y., and Brierley, C.M., 2020, Evaluation of Arctic warming in mid-Pliocene climate simulations: Climate of the Past, v. 16, no. 6, p. 2325-2341, https://doi.org/10.5194/cp-16-2325-2020.","productDescription":"17 p.","startPage":"2325","endPage":"2341","ipdsId":"IP-123682","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":454772,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/cp-16-2325-2020","text":"Publisher Index Page"},{"id":392294,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"6","noUsgsAuthors":false,"publicationDate":"2020-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"de Nooijer, Wesley","contributorId":269574,"corporation":false,"usgs":false,"family":"de Nooijer","given":"Wesley","email":"","affiliations":[{"id":55985,"text":"Department of Physical Geography and Bolin Centre for Climate Research, Stockholm University, Stockholm, Sweden","active":true,"usgs":false}],"preferred":false,"id":827460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Qiong","contributorId":269575,"corporation":false,"usgs":false,"family":"Zhang","given":"Qiong","email":"","affiliations":[{"id":55985,"text":"Department of Physical Geography and Bolin Centre for Climate Research, Stockholm University, Stockholm, Sweden","active":true,"usgs":false}],"preferred":false,"id":827461,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, Qiang","contributorId":197310,"corporation":false,"usgs":false,"family":"Li","given":"Qiang","email":"","affiliations":[],"preferred":false,"id":827462,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhang, Qiang","contributorId":210479,"corporation":false,"usgs":false,"family":"Zhang","given":"Qiang","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":827463,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Li, Xiangyu","contributorId":219286,"corporation":false,"usgs":false,"family":"Li","given":"Xiangyu","email":"","affiliations":[],"preferred":false,"id":827464,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhang, Zhongshi","contributorId":269576,"corporation":false,"usgs":false,"family":"Zhang","given":"Zhongshi","email":"","affiliations":[{"id":55988,"text":"Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":827465,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Guo, Chuncheng","contributorId":269577,"corporation":false,"usgs":false,"family":"Guo","given":"Chuncheng","email":"","affiliations":[{"id":55989,"text":"NORCE Norwegian Research Centre, Bjerknes Centre for Climate Research, Bergen, Norway","active":true,"usgs":false}],"preferred":false,"id":827466,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nisancioglu, Kerim H","contributorId":269578,"corporation":false,"usgs":false,"family":"Nisancioglu","given":"Kerim","email":"","middleInitial":"H","affiliations":[{"id":55989,"text":"NORCE Norwegian Research Centre, Bjerknes Centre for Climate Research, Bergen, Norway","active":true,"usgs":false}],"preferred":false,"id":827467,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Haywood, Alan M","contributorId":206288,"corporation":false,"usgs":false,"family":"Haywood","given":"Alan","email":"","middleInitial":"M","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":827468,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Tindall, Julia C.","contributorId":147376,"corporation":false,"usgs":false,"family":"Tindall","given":"Julia","email":"","middleInitial":"C.","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":827469,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Dowsett, Harry J. 0000-0003-1983-7524 hdowsett@usgs.gov","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":949,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry","email":"hdowsett@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":827470,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Stepanek, Christian","contributorId":220691,"corporation":false,"usgs":false,"family":"Stepanek","given":"Christian","email":"","affiliations":[{"id":40240,"text":"Alfred Wegener Institute-Helmholtz Centre for Polar and Marine Research, Bremerhaven, 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Geosciences, College of Liberal Arts and Sciences, University of Connecticut, Connecticut, USA","active":true,"usgs":false}],"preferred":false,"id":827474,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Sohl, Linda E","contributorId":269582,"corporation":false,"usgs":false,"family":"Sohl","given":"Linda E","affiliations":[{"id":55992,"text":"CCSR/GISS, Columbia University, New York, USA","active":true,"usgs":false}],"preferred":false,"id":827475,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Chandler, Mark","contributorId":197010,"corporation":false,"usgs":false,"family":"Chandler","given":"Mark","affiliations":[],"preferred":false,"id":827571,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Tan, Ning","contributorId":269583,"corporation":false,"usgs":false,"family":"Tan","given":"Ning","email":"","affiliations":[{"id":55993,"text":"Key Laboratory of Cenozoic Geology and Environment, Institute of Geology and Geophysics, Chinese Academy of 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,{"id":70217645,"text":"70217645 - 2020 - Evaluating wildlife translocations using genomics: A bighorn sheep case study","interactions":[],"lastModifiedDate":"2021-01-26T13:09:57.931076","indexId":"70217645","displayToPublicDate":"2020-11-21T07:04:34","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating wildlife translocations using genomics: A bighorn sheep case study","docAbstract":"<p><span>Wildlife restoration often involves translocation efforts to reintroduce species and supplement small, fragmented populations. We examined the genomic consequences of bighorn sheep (</span><i>Ovis canadensis</i><span>) translocations and population isolation to enhance understanding of evolutionary processes that affect population genetics and inform future restoration strategies. We conducted a population genomic analysis of 511 bighorn sheep from 17 areas, including native and reintroduced populations that received 0–10 translocations. Using the Illumina High Density Ovine array, we generated datasets of 6,155 to 33,289 single nucleotide polymorphisms and completed clustering, population tree, and kinship analyses. Our analyses determined that natural gene flow did not occur between most populations, including two pairs of native herds that had past connectivity. We synthesized genomic evidence across analyses to evaluate 24 different translocation events and detected eight successful reintroductions (i.e., lack of signal for recolonization from nearby populations) and five successful augmentations (i.e., reproductive success of translocated individuals) based on genetic similarity with the source populations. A single native population founded six of the reintroduced herds, suggesting that environmental conditions did not need to match for populations to persist following reintroduction. Augmentations consisting of 18–57 animals including males and females succeeded, whereas augmentations of two males did not result in a detectable genetic signature. Our results provide insight on genomic distinctiveness of native and reintroduced herds, information on the relative success of reintroduction and augmentation efforts and their associated attributes, and guidance to enhance genetic contribution of augmentations and reintroductions to aid in bighorn sheep restoration.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.6942","usgsCitation":"Flesch, E.P., Graves, T., Thomson, J., Proffitt, K., White, P., Stephenson, T.R., and Garrott, R.A., 2020, Evaluating wildlife translocations using genomics: A bighorn sheep case study: Ecology and Evolution, v. 10, no. 24, p. 13687-13704, https://doi.org/10.1002/ece3.6942.","productDescription":"18 p.","startPage":"13687","endPage":"13704","ipdsId":"IP-113330","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":454775,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.6942","text":"Publisher Index Page"},{"id":436715,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VMIFLP","text":"USGS data release","linkHelpText":"Bighorn sheep Ovine HD array genotypes from National Parks, 2004-2011"},{"id":382578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"Montana, Idaho, Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -116.49902343749999,\n              43.42100882994726\n            ],\n            [\n              -108.28125,\n              43.42100882994726\n            ],\n            [\n              -108.28125,\n              48.980216985374994\n            ],\n            [\n              -116.49902343749999,\n              48.980216985374994\n            ],\n            [\n              -116.49902343749999,\n              43.42100882994726\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"10","issue":"24","noUsgsAuthors":false,"publicationDate":"2020-11-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Flesch, Elizabeth P 0000-0002-7592-8124","orcid":"https://orcid.org/0000-0002-7592-8124","contributorId":222685,"corporation":false,"usgs":false,"family":"Flesch","given":"Elizabeth","email":"","middleInitial":"P","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":809074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graves, Tabitha A. 0000-0001-5145-2400","orcid":"https://orcid.org/0000-0001-5145-2400","contributorId":202084,"corporation":false,"usgs":true,"family":"Graves","given":"Tabitha A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":809075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomson, Jennifer 0000-0003-1921-0975","orcid":"https://orcid.org/0000-0003-1921-0975","contributorId":248418,"corporation":false,"usgs":false,"family":"Thomson","given":"Jennifer","email":"","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":809076,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Proffitt, Kelly 0000-0001-5528-3309","orcid":"https://orcid.org/0000-0001-5528-3309","contributorId":210093,"corporation":false,"usgs":false,"family":"Proffitt","given":"Kelly","email":"","affiliations":[{"id":38065,"text":"Montana Fish, Wildlife and Parks, Bozeman, Montana","active":true,"usgs":false}],"preferred":false,"id":809077,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, P.J.","contributorId":194049,"corporation":false,"usgs":false,"family":"White","given":"P.J.","email":"","affiliations":[],"preferred":false,"id":809078,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stephenson, Thomas R","contributorId":248420,"corporation":false,"usgs":false,"family":"Stephenson","given":"Thomas","email":"","middleInitial":"R","affiliations":[{"id":12939,"text":"California Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":809079,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Garrott, Robert A.","contributorId":171537,"corporation":false,"usgs":false,"family":"Garrott","given":"Robert","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":809080,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70228261,"text":"70228261 - 2020 - Perceived ecological threats and economic benefits of non-native black bass in the United States","interactions":[],"lastModifiedDate":"2022-02-09T12:01:17.625618","indexId":"70228261","displayToPublicDate":"2020-11-20T14:32:30","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5686,"text":"Fisheries Magazine","active":true,"publicationSubtype":{"id":10}},"title":"Perceived ecological threats and economic benefits of non-native black bass in the United States","docAbstract":"<p><span>Black bass&nbsp;</span><i>Micropterus</i><span>&nbsp;spp. are highly sought-after sport fish and, where introduced, are emblematic of the tradeoffs between ensuring productive fisheries and conserving native biodiversity. To disentangle these potentially conflicting interests, we administered a survey of fisheries biologists in the United States to assess perceptions regarding ecological and economic impacts of non-native black bass between anthropogenic and natural habitats. Our results indicate that non-native black bass are generally considered economically beneficial in both habitat types. Contrastingly, these species were perceived to have significantly more negative ecological impacts in natural than anthropogenic habitats. Our findings suggest that habitat may be an important factor to partition the conflicting ecological–economic dynamic of non-native black bass. Implications of this study suggest that challenges remain for managers attempting to balance the paradoxical nature of these species as both desired sport fishes and as potentially harmful invaders when found outside their native range.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/fsh.10520","usgsCitation":"Seguy, L., and Long, J.M., 2020, Perceived ecological threats and economic benefits of non-native black bass in the United States: Fisheries Magazine, v. 46, no. 2, p. 56-65, https://doi.org/10.1002/fsh.10520.","productDescription":"10 p.","startPage":"56","endPage":"65","ipdsId":"IP-109881","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395652,"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      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           34.02778\n              ],\n              [\n                -119.081,\n                34.078\n              ],\n              [\n                -119.43884,\n                34.34848\n              ],\n              [\n                -120.36778,\n                34.44711\n              ],\n              [\n                -120.62286,\n                34.60855\n              ],\n              [\n                -120.74433,\n                35.15686\n              ],\n              [\n                -121.71457,\n                36.16153\n              ],\n              [\n                -122.54747,\n                37.55176\n              ],\n              [\n                -122.51201,\n                37.78339\n              ],\n              [\n                -122.95319,\n                38.11371\n              ],\n              [\n                -123.7272,\n                38.95166\n              ],\n              [\n                -123.86517,\n                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         ],\n              [\n                -123.12,\n                48.04\n              ],\n              [\n                -122.58736,\n                47.096\n              ],\n              [\n                -122.34,\n                47.36\n              ],\n              [\n                -122.5,\n                48.18\n              ],\n              [\n                -122.84,\n                49\n              ],\n              [\n                -120,\n                49\n              ],\n              [\n                -117.03121,\n                49\n              ],\n              [\n                -116.04818,\n                49\n              ],\n              [\n                -113,\n                49\n              ],\n              [\n                -110.05,\n                49\n              ],\n              [\n                -107.05,\n                49\n              ],\n              [\n                -104.04826,\n                48.99986\n              ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","volume":"46","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Seguy, Lauren","contributorId":274995,"corporation":false,"usgs":false,"family":"Seguy","given":"Lauren","email":"","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":833551,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":833552,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70212841,"text":"70212841 - 2020 - Anadromous coastal cutthroat trout Oncorhynchus clarkii clarkii as a host for Argulus pugettensis (Crustacea, Branchiura): Parasite prevalence, intensity and distribution","interactions":[],"lastModifiedDate":"2021-01-08T20:44:22.693145","indexId":"70212841","displayToPublicDate":"2020-11-20T14:27:50","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2900,"text":"Northwest Science","onlineIssn":"2161-9859","printIssn":"0029-344X","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Anadromous coastal cutthroat trout <i>Oncorhynchus clarkii clarkii </i>as a host for <i>Argulus pugettensis </i> (Crustacea, Branchiura): Parasite prevalence, intensity and distribution","title":"Anadromous coastal cutthroat trout Oncorhynchus clarkii clarkii as a host for Argulus pugettensis (Crustacea, Branchiura): Parasite prevalence, intensity and distribution","docAbstract":"<p><span>Coastal cutthroat trout [</span><i>Oncorhynchus clarkii clarkii</i><span>&nbsp;(Richardson, 1836)] from the marine waters of Puget Sound, WA, was documented as a new host for the ectoparasite&nbsp;</span><i>Argulus pugettensis</i><span>&nbsp;(</span>Dana, 1852<span>). The prevalence of&nbsp;</span><i>A. pugettensis</i><span>&nbsp;was 66% (49 of 74) on cutthroat trout and 0% (0 of 55) on coho salmon [</span><i>O. kisutch</i><span>&nbsp;(Walbaum, 1792)] collected during the winter of 2017/2018. Infestations occurred most frequently on the dorsal surface, with intensities ranging from 1 to 26 argulids per fish (mean intensity 3.94 ± 4.93 S.D.). In contrast, the prevalence of the common salmon louse [</span><i>Lepeophtheirus salmonis</i><span>&nbsp;(Krøyer, 1837)] was 72% for cutthroat trout and 31% for coho salmon. Relative to other native salmonids, little is known regarding the status, ecology and threats for coastal cutthroat trout. New information reported here is a first step in understanding the relationship between this wild, native trout and infestations by parasitic sea lice and should be followed by future studies aimed to identify population level consequences.</span></p>","language":"English","publisher":"BioOne","doi":"10.3955/046.094.0202","usgsCitation":"Losee, J.P., Jones, S.R., McKinstry, C.A., Batts, W.N., and Hershberger, P., 2020, Anadromous coastal cutthroat trout Oncorhynchus clarkii clarkii as a host for Argulus pugettensis (Crustacea, Branchiura): Parasite prevalence, intensity and distribution: Northwest Science, v. 94, no. 2, p. 111-117, https://doi.org/10.3955/046.094.0202.","productDescription":"7 p.","startPage":"111","endPage":"117","ipdsId":"IP-102738","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":382044,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"94","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Losee, James P","contributorId":239689,"corporation":false,"usgs":false,"family":"Losee","given":"James","email":"","middleInitial":"P","affiliations":[{"id":47976,"text":"Washington Department of Fish and Wildlife, Fish Program, Olympia, WA, 98501, U.S.A.","active":true,"usgs":false}],"preferred":false,"id":797629,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Simon R M","contributorId":239690,"corporation":false,"usgs":false,"family":"Jones","given":"Simon","email":"","middleInitial":"R M","affiliations":[{"id":47977,"text":"Fisheries and Oceans Canada, Pacific Biological Station, Nanaimo, BC V9T 6N7, Canada, U.S.A.","active":true,"usgs":false}],"preferred":false,"id":797630,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKinstry, Caitlin A E","contributorId":239691,"corporation":false,"usgs":false,"family":"McKinstry","given":"Caitlin","email":"","middleInitial":"A E","affiliations":[{"id":47978,"text":"Prince William Sound Science Center, Cordova, AK 99574","active":true,"usgs":false}],"preferred":false,"id":797631,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Batts, William N. 0000-0002-6469-9004 bbatts@usgs.gov","orcid":"https://orcid.org/0000-0002-6469-9004","contributorId":3815,"corporation":false,"usgs":true,"family":"Batts","given":"William","email":"bbatts@usgs.gov","middleInitial":"N.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":797632,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hershberger, Paul 0000-0002-2261-7760","orcid":"https://orcid.org/0000-0002-2261-7760","contributorId":203322,"corporation":false,"usgs":true,"family":"Hershberger","given":"Paul","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":797633,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70216499,"text":"70216499 - 2020 - Polar Bear (Ursus maritimus)","interactions":[],"lastModifiedDate":"2020-11-24T14:05:15.269021","indexId":"70216499","displayToPublicDate":"2020-11-20T08:03:44","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"14","title":"Polar Bear (Ursus maritimus)","docAbstract":"<div class=\"panel chapter large-9 small-12 column main-column left\"><div class=\"reading-width\"><div class=\"chapter\"><div class=\"overview\"><div class=\"description\"><div class=\"summary\"><div class=\"abstract\" data-abstract-type=\"normal\"><p>This chapter comprises the following sections: names, taxonomy, subspecies and distribution, descriptive notes, habitat, movements and home range, activity patterns, feeding ecology, reproduction and growth, behavior, parasites and diseases, status in the wild, and status in captivity.</p></div></div></div></div></div></div></div>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Bears of the world: Ecology, conservation and management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Cambridge University Press","doi":"10.1017/9781108692571.015","isbn":"9781108483520","usgsCitation":"Rode, K.D., Obbard, M.E., Belikov, S., Derocher, A.E., Durner, G.M., Thiemann, G., Tryland, M., Letcher, R.J., Meyersen, R., Sonne, C., Jenssen, B., Dietz, R., and Vongraven, D., 2020, Polar Bear (Ursus maritimus), chap. 14 <i>of</i> Bears of the world: Ecology, conservation and management, p. 196-212, https://doi.org/10.1017/9781108692571.015.","productDescription":"17 p.","startPage":"196","endPage":"212","ipdsId":"IP-105936","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":380742,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":805453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Obbard, Martyn E.","contributorId":108002,"corporation":false,"usgs":false,"family":"Obbard","given":"Martyn","email":"","middleInitial":"E.","affiliations":[{"id":6780,"text":"Ontario Ministry of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":805454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Belikov, Stanislav","contributorId":19513,"corporation":false,"usgs":false,"family":"Belikov","given":"Stanislav","email":"","affiliations":[],"preferred":false,"id":805455,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Derocher, Andrew E.","contributorId":96189,"corporation":false,"usgs":false,"family":"Derocher","given":"Andrew","email":"","middleInitial":"E.","affiliations":[{"id":12980,"text":"Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada","active":true,"usgs":false}],"preferred":false,"id":805456,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Durner, George M. 0000-0002-3370-1191 gdurner@usgs.gov","orcid":"https://orcid.org/0000-0002-3370-1191","contributorId":3576,"corporation":false,"usgs":true,"family":"Durner","given":"George","email":"gdurner@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":805457,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thiemann, Gregory","contributorId":195129,"corporation":false,"usgs":false,"family":"Thiemann","given":"Gregory","affiliations":[],"preferred":false,"id":805458,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tryland, Morten","contributorId":245151,"corporation":false,"usgs":false,"family":"Tryland","given":"Morten","email":"","affiliations":[{"id":49094,"text":"University of Norway","active":true,"usgs":false}],"preferred":false,"id":805459,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Letcher, Robert J.","contributorId":176209,"corporation":false,"usgs":false,"family":"Letcher","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":805460,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Meyersen, Randi","contributorId":245152,"corporation":false,"usgs":false,"family":"Meyersen","given":"Randi","email":"","affiliations":[{"id":49095,"text":"Detroit Zoo","active":true,"usgs":false}],"preferred":false,"id":805461,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sonne, Christian","contributorId":218344,"corporation":false,"usgs":false,"family":"Sonne","given":"Christian","email":"","affiliations":[{"id":39808,"text":"Aarhus University, Arctic Research Centre (ARC), Department of Bioscience","active":true,"usgs":false}],"preferred":false,"id":805462,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Jenssen, Bjorn","contributorId":245153,"corporation":false,"usgs":false,"family":"Jenssen","given":"Bjorn","affiliations":[{"id":39348,"text":"Norwegian University of Science and Technology","active":true,"usgs":false}],"preferred":false,"id":805463,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Dietz, Rune","contributorId":191799,"corporation":false,"usgs":false,"family":"Dietz","given":"Rune","email":"","affiliations":[],"preferred":false,"id":805464,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Vongraven, Dag","contributorId":131092,"corporation":false,"usgs":false,"family":"Vongraven","given":"Dag","email":"","affiliations":[{"id":7238,"text":"Norwegian Polar Institute","active":true,"usgs":false}],"preferred":false,"id":805465,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70216502,"text":"70216502 - 2020 - How Is climate change affecting polar bears and giant pandas?","interactions":[],"lastModifiedDate":"2020-11-24T14:01:55.093905","indexId":"70216502","displayToPublicDate":"2020-11-20T08:01:09","publicationYear":"2020","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"21","title":"How Is climate change affecting polar bears and giant pandas?","docAbstract":"<div class=\"panel chapter large-9 small-12 column main-column left\"><div class=\"reading-width\"><div class=\"chapter\"><div class=\"overview\"><div class=\"description\"><div class=\"summary\"><div class=\"abstract\" data-abstract-type=\"normal\"><p>Anthropogenic greenhouse gas emissions are the primary cause of climate change and an estimated increase of 3.7 to 4.8 °C is predicted by the year 2100 if emissions continue at current levels. Polar bears (Ursus maritimus) and giant pandas (Ailuropoda melanoleuca) provide an interesting comparison study of the impact of climate change on bear species. While polar bears and giant pandas are arguably the most distant of the bear species with regard to life histories and behavior, both are likely to be significantly impacted by the broad-scale changes to their environment that are predicted to result from climate change. Herein, we review the conservation status of both species and their habitats, and present current and predicted evidence of the impacts of a changing climate on polar bear and giant panda survival.</p></div></div></div></div></div></div></div>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Bears of the world: Ecology, conservation, and management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Cambridge University Press","doi":"10.1017/9781108692571.022","isbn":"9781108692571","usgsCitation":"Songer, M., Atwood, T.C., Douglas, D.C., Huang, Q., Li, R., Pilfold, N., Xu, M., and Durner, G.M., 2020, How Is climate change affecting polar bears and giant pandas?, chap. 21 <i>of</i> Bears of the world: Ecology, conservation, and management, p. 303-316, https://doi.org/10.1017/9781108692571.022.","productDescription":"14 p.","startPage":"303","endPage":"316","ipdsId":"IP-106433","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":380741,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Songer, Melissa","contributorId":245157,"corporation":false,"usgs":false,"family":"Songer","given":"Melissa","email":"","affiliations":[{"id":49100,"text":"Smithsonian National Zoo","active":true,"usgs":false}],"preferred":false,"id":805479,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":805477,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":805478,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huang, Qiongyu","contributorId":174402,"corporation":false,"usgs":false,"family":"Huang","given":"Qiongyu","affiliations":[],"preferred":false,"id":805483,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Li, Renqiang","contributorId":245159,"corporation":false,"usgs":false,"family":"Li","given":"Renqiang","email":"","affiliations":[{"id":48136,"text":"Chinese Academy of Science","active":true,"usgs":false}],"preferred":false,"id":805482,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pilfold, Nicholas","contributorId":200748,"corporation":false,"usgs":false,"family":"Pilfold","given":"Nicholas","email":"","affiliations":[],"preferred":false,"id":805480,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Xu, Ming","contributorId":245158,"corporation":false,"usgs":false,"family":"Xu","given":"Ming","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":805481,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Durner, George M. 0000-0002-3370-1191 gdurner@usgs.gov","orcid":"https://orcid.org/0000-0002-3370-1191","contributorId":3576,"corporation":false,"usgs":true,"family":"Durner","given":"George","email":"gdurner@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":805476,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70216491,"text":"70216491 - 2020 - Development of a novel framework for modeling field-scale conservation effects of depressional wetlands in agricultural landscapes","interactions":[],"lastModifiedDate":"2020-11-23T13:47:37.113837","indexId":"70216491","displayToPublicDate":"2020-11-20T07:46:00","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2456,"text":"Journal of Soil and Water Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Development of a novel framework for modeling field-scale conservation effects of depressional wetlands in agricultural landscapes","docAbstract":"<div id=\"abstract-1\" class=\"section abstract\"><p id=\"p-2\">The intermixed cropland, grassland, and wetland ecosystems of the upper mid-western United States combine to provide a suite of valuable ecological services. Grassland and wetland losses in the upper midwestern United States have been extensive, but government-funded conservation programs have protected and restored hundreds of thousands of acres of wetland and grassland habitat in the region. The value of restored wetlands in agricultural fields is complex, and the USDA Natural Resource Conservation Service, Conservation Effects Assessment Project (CEAP) has been lacking the methodology to include these conservation practices in their analyses. Our aim is to develop a reproducible methodology for simulating wetlands within the CEAP cropland modeling framework used to evaluate other agricultural conservation practices. Furthermore, we evaluate the effect of using upland conservation practices on the functioning of restored wetlands. By simulating the addition of a depressional wetland that effectively removes 6% of the field from crop production, we obtained a 15% reduction in annual runoff and a 29% and 28% reduction in mean annual nitrogen (N) and phosphorus (P) losses, respectively. The presence of the depressional wetland in the field is estimated to also reduce edge-of-field losses of sediments by 20% and sediment-bound N and P by 19% and 23%, respectively. Additionally, adding a grass filter strip around the wetland greatly decreased sediment inputs to the wetland, increasing the effective life of the wetland, in terms of its ability to perform valued services, by decades to centuries. Our method for modeling depressional wetlands embedded in cropped fields provides a means to quantify the effects of wetland conservation practices on field-level losses for regional assessments, such as the CEAP.</p></div>","language":"English","publisher":"Soil and Water Conservation Society","doi":"10.2489/jswc.2020.00096","usgsCitation":"McKenna, O.P., Osorio, J.M., Behrman, K.D., Doro, L., and Mushet, D.M., 2020, Development of a novel framework for modeling field-scale conservation effects of depressional wetlands in agricultural landscapes: Journal of Soil and Water Conservation, v. 6, no. 75, p. 695-703, https://doi.org/10.2489/jswc.2020.00096.","productDescription":"9 p.","startPage":"695","endPage":"703","ipdsId":"IP-108442","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":454781,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2489/jswc.2020.00096","text":"Publisher Index Page"},{"id":380679,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"75","noUsgsAuthors":false,"publicationDate":"2020-10-06","publicationStatus":"PW","contributors":{"authors":[{"text":"McKenna, Owen P. 0000-0002-5937-9436 omckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-5937-9436","contributorId":198598,"corporation":false,"usgs":true,"family":"McKenna","given":"Owen","email":"omckenna@usgs.gov","middleInitial":"P.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":805408,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Osorio, Javier M.","contributorId":245130,"corporation":false,"usgs":false,"family":"Osorio","given":"Javier","email":"","middleInitial":"M.","affiliations":[{"id":49090,"text":"Texas A&M AgriLife Research and Extension Center","active":true,"usgs":false}],"preferred":false,"id":805409,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Behrman, Katherine D.","contributorId":245131,"corporation":false,"usgs":false,"family":"Behrman","given":"Katherine","email":"","middleInitial":"D.","affiliations":[{"id":37009,"text":"USDA Agricultural Research Service","active":true,"usgs":false}],"preferred":false,"id":805410,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Doro, Luca","contributorId":245132,"corporation":false,"usgs":false,"family":"Doro","given":"Luca","email":"","affiliations":[{"id":49090,"text":"Texas A&M AgriLife Research and Extension Center","active":true,"usgs":false}],"preferred":false,"id":805411,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":805412,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70217038,"text":"70217038 - 2020 - Origin and properties of hydrothermal tremor at Lone Star Geyser, Yellowstone National Park, USA","interactions":[],"lastModifiedDate":"2020-12-29T13:51:48.138349","indexId":"70217038","displayToPublicDate":"2020-11-20T07:45:56","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Origin and properties of hydrothermal tremor at Lone Star Geyser, Yellowstone National Park, USA","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Geysers are rare geologic features that intermittently discharge liquid water and steam driven by heating and decompression boiling. The cause of variability in eruptive styles and the associated seismic signals are not well understood. Data collected from five broadband seismometers at Lone Star Geyser, Yellowstone National Park are used to determine the properties, location, and temporal patterns of hydrothermal tremor. The tremor is harmonic at some stages of the eruption cycle and is caused by near‐periodic repetition of discrete seismic events. Using the polarization of ground motion, we identify the location of tremor sources throughout several eruption cycles. During preplay episodes (smaller eruptions preceding the more vigorous major eruption), tremor occurs at depths of 7–10&nbsp;m and is laterally offset from the geyser's cone by ~5&nbsp;m. At the onset of the main eruption, tremor sources migrate laterally and become shallower. As the eruption progresses, tremor sources migrate along the same path but in the opposite direction, ending where preplay tremor originates. The upward and then downward migration of tremor sources during eruptions are consistent with warming of the conduit followed by evacuation of water during the main eruption. We identify systematic relations among the two types of preplays, discharge, and the main eruption. A point‐source moment tensor fit to low‐frequency waveforms of an individual tremor event using half‐space velocity models indicates average<span>&nbsp;</span><i>V</i><sub><i>S</i></sub>&nbsp;<span>≳</span>&nbsp;0.8&nbsp;km/s, source depths ~4–20&nbsp;m, and moment tensors with primarily positive isotropic and compensated linear vector dipole moments.</p></div></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020JB019711","usgsCitation":"Nayak, A., Manga, M., Hurwitz, S., Namiki, A., and Dawson, P.B., 2020, Origin and properties of hydrothermal tremor at Lone Star Geyser, Yellowstone National Park, USA: Journal of Geophysical Research, v. 125, no. 12, e2020JB019711, 21 p,, https://doi.org/10.1029/2020JB019711.","productDescription":"e2020JB019711, 21 p,","ipdsId":"IP-121697","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":381720,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone National Park, Lone Star Geyser","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -110.99624633789062,\n              44.389635634309236\n            ],\n            [\n              -110.77789306640625,\n              44.389635634309236\n            ],\n            [\n              -110.77789306640625,\n              44.53469562326322\n            ],\n            [\n              -110.99624633789062,\n              44.53469562326322\n            ],\n            [\n              -110.99624633789062,\n              44.389635634309236\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"125","issue":"12","noUsgsAuthors":false,"publicationDate":"2020-12-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Nayak, Avinash 0000-0001-7913-7189","orcid":"https://orcid.org/0000-0001-7913-7189","contributorId":245918,"corporation":false,"usgs":false,"family":"Nayak","given":"Avinash","email":"","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":807321,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manga, Michael","contributorId":243583,"corporation":false,"usgs":false,"family":"Manga","given":"Michael","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":807322,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hurwitz, Shaul 0000-0001-5142-6886 shaulh@usgs.gov","orcid":"https://orcid.org/0000-0001-5142-6886","contributorId":2169,"corporation":false,"usgs":true,"family":"Hurwitz","given":"Shaul","email":"shaulh@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":807323,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Namiki, Atsuko","contributorId":131170,"corporation":false,"usgs":false,"family":"Namiki","given":"Atsuko","email":"","affiliations":[{"id":7267,"text":"University of Tokyo","active":true,"usgs":false}],"preferred":false,"id":807324,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dawson, Phillip B. 0000-0003-4065-0588 dawson@usgs.gov","orcid":"https://orcid.org/0000-0003-4065-0588","contributorId":206751,"corporation":false,"usgs":true,"family":"Dawson","given":"Phillip","email":"dawson@usgs.gov","middleInitial":"B.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":807325,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70216684,"text":"70216684 - 2020 - Seismic attenuation monitoring of a critically stressed San Andreas fault","interactions":[],"lastModifiedDate":"2020-11-30T13:17:56.857109","indexId":"70216684","displayToPublicDate":"2020-11-20T07:06:21","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Seismic attenuation monitoring of a critically stressed San Andreas fault","docAbstract":"<p><span>We show that seismic attenuation (&nbsp;</span><img class=\"section_image\" src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/fe6e1bba-0f11-4326-9d90-0344d44a07b8/grl61586-math-0001.png\" alt=\"urn:x-wiley:00948276:media:grl61586:grl61586-math-0001\" data-mce-src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/fe6e1bba-0f11-4326-9d90-0344d44a07b8/grl61586-math-0001.png\"><span>) along the San Andreas fault (SAF) at Parkfield correlates with the occurrence of moderate‐to‐large earthquakes at local and regional distances. Earthquake‐related&nbsp;</span><img class=\"section_image\" src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/a89f08da-3eff-4c9e-95a4-b39accaeac3b/grl61586-math-0002.png\" alt=\"urn:x-wiley:00948276:media:grl61586:grl61586-math-0002\" data-mce-src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/a89f08da-3eff-4c9e-95a4-b39accaeac3b/grl61586-math-0002.png\"><span>&nbsp;anomalies are likely caused by changes in permeability from dilatant static stress changes, damage by strong shaking from local sources, and pore unclogging/clogging from mobilization of colloids by dynamic strains. We find that, prior to the 2004&nbsp;</span><i>M</i><span>6 Parkfield earthquake, prefailure conditions for some local events of moderate magnitude correspond to positive anomalies of&nbsp;</span><img class=\"section_image\" src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/999ff49d-0c63-413d-a3d3-7163e4f59927/grl61586-math-0003.png\" alt=\"urn:x-wiley:00948276:media:grl61586:grl61586-math-0003\" data-mce-src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/999ff49d-0c63-413d-a3d3-7163e4f59927/grl61586-math-0003.png\"><span>&nbsp;on the Pacific side, with local and regional earthquakes producing sharp attenuation reversals. After the 2004 Parkfield earthquake, we see higher&nbsp;</span><img class=\"section_image\" src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/4d674cda-5354-4c8d-a1a4-54b743103370/grl61586-math-0004.png\" alt=\"urn:x-wiley:00948276:media:grl61586:grl61586-math-0004\" data-mce-src=\"https://agupubs.onlinelibrary.wiley.com/cms/asset/4d674cda-5354-4c8d-a1a4-54b743103370/grl61586-math-0004.png\"><span>&nbsp;anomalies along the SAF, but low sensitivity to local and regional earthquakes, probably because the mainshock significantly altered the permeability state of the rocks adjacent to the SAF, and its sensitivity to earthquake‐induced stress perturbations.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020GL089201","usgsCitation":"Malagnini, L., and Parsons, T.E., 2020, Seismic attenuation monitoring of a critically stressed San Andreas fault: Geophysical Research Letters, v. 47, no. 23, 11 p., https://doi.org/10.1029/2020GL089201.","productDescription":"11 p.","ipdsId":"IP-117715","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":380869,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United  States","state":"California","otherGeospatial":"San Andreas Fault-Parkfield Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.72302246093749,\n              35.646137228802424\n            ],\n            [\n              -120.64361572265624,\n              35.646137228802424\n            ],\n            [\n              -120.64361572265624,\n              36.61332303966068\n            ],\n            [\n              -121.72302246093749,\n              36.61332303966068\n            ],\n            [\n              -121.72302246093749,\n              35.646137228802424\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"47","issue":"23","noUsgsAuthors":false,"publicationDate":"2020-11-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Malagnini, Luca 0000-0001-5809-9945","orcid":"https://orcid.org/0000-0001-5809-9945","contributorId":245308,"corporation":false,"usgs":false,"family":"Malagnini","given":"Luca","email":"","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":805881,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parsons, Thomas E. 0000-0002-0582-4338 tparsons@usgs.gov","orcid":"https://orcid.org/0000-0002-0582-4338","contributorId":2314,"corporation":false,"usgs":true,"family":"Parsons","given":"Thomas","email":"tparsons@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":805882,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70257085,"text":"70257085 - 2020 - Agricultural land-use change alters the structure and diversity of Amazon riparian forests","interactions":[],"lastModifiedDate":"2024-08-09T11:43:30.440477","indexId":"70257085","displayToPublicDate":"2020-11-20T06:40:13","publicationYear":"2020","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":"Agricultural land-use change alters the structure and diversity of Amazon riparian forests","docAbstract":"<div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0050\"><span>Riparian forests&nbsp;play key roles in protecting biodiversity and&nbsp;</span>water resources<span>, making them priorities for conservation in human-dominated landscapes, but fragmentation associated with expanding tropical croplands threatens their ecological integrity. We compared the structure of tropical riparian forests within intact and cropland catchments in a region of intensive soybean production in the southeastern Brazilian Amazon. We studied forest plots (varying from 120 to 210&nbsp;m long) that bisected&nbsp;riparian zone&nbsp;forests and headwater streams in ten catchments. Four plots were within large areas of intact primary forest and six were in bands of protected riparian forest along streams within croplands as required by the Brazilian Forest Code. We found that riparian forests in croplands harbored fewer species of trees and seedlings/saplings, and had higher proportions of opportunistic, pioneer tree species. We also found greater variation in tree species composition, and higher internal dissimilarity in croplands compared with forests. The observed patterns in tree species composition were driven mainly by differences between riparian forest-cropland edges and those bordering intact&nbsp;upland forests. Forests nearest to streams in cropland and forested catchments were more similar to one another. Results suggest that wider buffers are needed at the edges of croplands to maintain riparian forest structure. The minimum 30-m&nbsp;riparian buffers&nbsp;now required by the Brazilian Forest Code may thus be insufficient to prevent long-term shifts in riparian forest species composition and structure.</span></p></div></div><div id=\"ab0010\" class=\"abstract graphical\" lang=\"en\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2020.108862","usgsCitation":"Maracahipes-Santos, L., Silverio, D.V., Macedo, M.N., Maracahipes, L., Jankowski, K.J., Paolucci, L.N., Neill, C., and Brando, P.M., 2020, Agricultural land-use change alters the structure and diversity of Amazon riparian forests: Biological Conservation, v. 252, 108862, https://doi.org/10.1016/j.biocon.2020.108862.","productDescription":"108862","ipdsId":"IP-111697","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":454786,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2020.108862","text":"Publisher Index Page"},{"id":432429,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"252","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Maracahipes-Santos, Leonardo 0000-0002-8402-1399","orcid":"https://orcid.org/0000-0002-8402-1399","contributorId":264463,"corporation":false,"usgs":false,"family":"Maracahipes-Santos","given":"Leonardo","email":"","affiliations":[{"id":52936,"text":"Instituto de Pesquisa Ambiental da Amazonia","active":true,"usgs":false}],"preferred":false,"id":909347,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Silverio, Divino Vicente 0000-0003-1642-9496","orcid":"https://orcid.org/0000-0003-1642-9496","contributorId":341976,"corporation":false,"usgs":false,"family":"Silverio","given":"Divino","email":"","middleInitial":"Vicente","affiliations":[{"id":81817,"text":"Instituto de Pesquisa Ambiental da Amazônia (IPAM)","active":true,"usgs":false}],"preferred":false,"id":909348,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Macedo, Marcia Nunes 0000-0001-8102-5901","orcid":"https://orcid.org/0000-0001-8102-5901","contributorId":341977,"corporation":false,"usgs":false,"family":"Macedo","given":"Marcia","email":"","middleInitial":"Nunes","affiliations":[{"id":81817,"text":"Instituto de Pesquisa Ambiental da Amazônia (IPAM)","active":true,"usgs":false}],"preferred":false,"id":909349,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maracahipes, Leandro","contributorId":328553,"corporation":false,"usgs":false,"family":"Maracahipes","given":"Leandro","email":"","affiliations":[{"id":12674,"text":"University of Campinas","active":true,"usgs":false}],"preferred":false,"id":909350,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jankowski, Kathi Jo 0000-0002-3292-4182","orcid":"https://orcid.org/0000-0002-3292-4182","contributorId":207429,"corporation":false,"usgs":true,"family":"Jankowski","given":"Kathi","email":"","middleInitial":"Jo","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":909351,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Paolucci, Lucas Navarro 0000-0001-6403-5200","orcid":"https://orcid.org/0000-0001-6403-5200","contributorId":341978,"corporation":false,"usgs":false,"family":"Paolucci","given":"Lucas","email":"","middleInitial":"Navarro","affiliations":[{"id":81817,"text":"Instituto de Pesquisa Ambiental da Amazônia (IPAM)","active":true,"usgs":false}],"preferred":false,"id":909352,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Neill, Christopher","contributorId":218247,"corporation":false,"usgs":false,"family":"Neill","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":909353,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brando, Paulo Monteiro 0000-0001-8952-7025","orcid":"https://orcid.org/0000-0001-8952-7025","contributorId":341979,"corporation":false,"usgs":false,"family":"Brando","given":"Paulo","email":"","middleInitial":"Monteiro","affiliations":[{"id":81817,"text":"Instituto de Pesquisa Ambiental da Amazônia (IPAM)","active":true,"usgs":false}],"preferred":false,"id":909354,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70228411,"text":"70228411 - 2020 - Rockhopper Penguin–Imperial Cormorant mixed colonies in the Falkland Islands: A stroke of luck for late breeders","interactions":[],"lastModifiedDate":"2022-02-10T16:16:37.469632","indexId":"70228411","displayToPublicDate":"2020-11-19T10:08:49","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Rockhopper Penguin–Imperial Cormorant mixed colonies in the Falkland Islands: A stroke of luck for late breeders","docAbstract":"<p><span>Mixed-species colonies occur frequently, especially among seabirds, and may provide mutual benefits among associated species including antipredator advantages. The “protector” species in such associations may provide early warning signals or by aggressively defending their own nests, may expel predators from the area. We explored costs and benefits to Rockhopper Penguins (</span><i>Eudyptes chrysocome</i><span>) in relation to offspring production in both monospecific colonies and those mixed with Imperial Cormorants (</span><i>Phalacrocorax atriceps</i><span>) at Saunders Island (Falkland Islands), emphasizing differences in predation pressure. We considered behavioral responses of chicks (in crèches), as well as differences in their nutritional condition, morphometric measurements, and survival compared among different breeding colonies. Our study revealed a paradox: High-quality adult penguins, those arriving early and occupying lower-elevation sites closer to the coast, produced better-nourished chicks earlier in the season. However, they averaged half the number of chicks fledged, compared to breeders that arrived later in the season. Late breeders were forced by unavailability of optimal habitat to nest in more elevated areas, forming mixed colonies with cormorants, which, in turn, provided them with protection from nest predators. This study provides an example of the role of luck in nature, and how it may compensate for differences in individual fitness.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.3272","usgsCitation":"Morandini, V., Dugger, K.M., Ainley, D., and Ferrer, M., 2020, Rockhopper Penguin–Imperial Cormorant mixed colonies in the Falkland Islands: A stroke of luck for late breeders: Ecosphere, v. 11, no. 11, e03272, 15 p., https://doi.org/10.1002/ecs2.3272.","productDescription":"e03272, 15 p.","ipdsId":"IP-111249","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":454790,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3272","text":"Publisher Index Page"},{"id":395776,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Falkland Islands, Saunders Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -60.03410339355468,\n              -51.33833359386698\n            ],\n            [\n              -60.077362060546875,\n              -51.29498801220168\n            ],\n            [\n              -60.18791198730469,\n              -51.30271596654796\n            ],\n            [\n              -60.26962280273437,\n              -51.261055492709\n            ],\n            [\n              -60.33416748046875,\n              -51.25589899305906\n            ],\n            [\n              -60.337600708007805,\n              -51.28768819403518\n            ],\n            [\n              -60.24284362792969,\n              -51.33189872071528\n            ],\n            [\n              -60.264129638671875,\n              -51.36063416174487\n            ],\n            [\n              -60.332107543945305,\n              -51.388066116760086\n            ],\n            [\n              -60.24696350097657,\n              -51.436888577204975\n            ],\n            [\n              -60.194091796875,\n              -51.41291212935531\n            ],\n            [\n              -60.11444091796876,\n              -51.40862929698623\n            ],\n            [\n              -60.03410339355468,\n              -51.33833359386698\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","issue":"11","noUsgsAuthors":false,"publicationDate":"2020-11-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Morandini, Virginia","contributorId":275712,"corporation":false,"usgs":false,"family":"Morandini","given":"Virginia","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":834240,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dugger, Katie M. 0000-0002-4148-246X","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":36037,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"","middleInitial":"M.","affiliations":[{"id":517,"text":"Oregon Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":834239,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ainley, David G.","contributorId":275713,"corporation":false,"usgs":false,"family":"Ainley","given":"David","middleInitial":"G.","affiliations":[{"id":56884,"text":"htha","active":true,"usgs":false}],"preferred":false,"id":834241,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ferrer, Miguel","contributorId":275714,"corporation":false,"usgs":false,"family":"Ferrer","given":"Miguel","affiliations":[{"id":56885,"text":"aeg","active":true,"usgs":false}],"preferred":false,"id":834242,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70216758,"text":"70216758 - 2020 - Cytology reveals diverse cell morphotypes and cellin-cell interactions in normal collector sea urchins Tripneustes gratilla","interactions":[],"lastModifiedDate":"2020-12-04T16:12:31.95667","indexId":"70216758","displayToPublicDate":"2020-11-19T09:57:03","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1396,"text":"Diseases of Aquatic Organisms","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Cytology reveals diverse cell morphotypes and cellin-cell interactions in normal collector sea urchins <i>Tripneustes gratilla</i>","title":"Cytology reveals diverse cell morphotypes and cellin-cell interactions in normal collector sea urchins Tripneustes gratilla","docAbstract":"<p class=\"abstract_block\">Echinoderms such as sea urchins are important in marine ecosystems, particularly as grazers, and unhealthy sea urchins can have important ecological implications. For instance, unexplained mortalities of<span>&nbsp;</span><i>Diadema antillarum</i><span>&nbsp;</span>in the Caribbean were followed by algal overgrowth and subsequent collapse of coral reef ecosystems. Unfortunately, few tools exist to evaluate echinoderm health, making management of mortalities or other health issues problematic. Hematology is often used to assess health in many animal groups, including invertebrates, but is seldom applied to echinoderms. We used a standard gravitometric technique to concentrate fixed coelomocytes from the collector sea urchin<span>&nbsp;</span><i>Tripneustes gratilla</i><span>&nbsp;</span>onto microscope slides, permitting staining and enumeration. Using Romanowsky stain and electron microscopy to visualize cell details, we found that urchin cells could be partitioned into different morphotypes. Specifically, we enumerated phagocytes, phagocytes with perinuclear cytoplasmic dots, vibratile cells, colorless spherule cells, red spherule cells, and red spherule cells with pink granules. We also saw cell-in-cell interactions characterized by phagocytes apparently phagocytizing mainly the motile cells including red spherule cells, colorless spherule cells, and vibratile cells disproportionate to underlying populations of circulating cells. Cell-in-cell interactions were seen in 71% of sea urchins, but comprised &lt;1% of circulating cells. Finally, about 40% of sea urchins had circulating phagocytes that were apparently phagocytizing spicules. The coelomic fluid collection and slide preparation methods described here are simple, field portable, and might be a useful complementary tool for assessing health of other marine invertebrates, revealing heretofore unknown physiological phenomena in this animal group.</p>","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/dao03533","usgsCitation":"Work, T.M., Millard, E., Mariani, D.B., Weatherby, T.M., Rameyer, R., Dagenais, J., Breeden, R., and Beale, A., 2020, Cytology reveals diverse cell morphotypes and cellin-cell interactions in normal collector sea urchins Tripneustes gratilla: Diseases of Aquatic Organisms, v. 142, p. 63-73, https://doi.org/10.3354/dao03533.","productDescription":"11 p.","startPage":"63","endPage":"73","ipdsId":"IP-120179","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":454792,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/dao03533","text":"Publisher Index Page"},{"id":436716,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VUQH51","text":"USGS data release","linkHelpText":"Data on blood cells of the collector urchin, Tripneustes gratilla"},{"id":380985,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"South Oahu","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -158.104248046875,\n              21.20233749272323\n            ],\n            [\n              -157.65243530273438,\n              21.20233749272323\n            ],\n            [\n              -157.65243530273438,\n              21.30600789859976\n            ],\n            [\n              -158.104248046875,\n              21.30600789859976\n            ],\n            [\n              -158.104248046875,\n              21.20233749272323\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"142","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":806093,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Millard, Elena","contributorId":245382,"corporation":false,"usgs":false,"family":"Millard","given":"Elena","email":"","affiliations":[{"id":49176,"text":"Sumner Veterinary Hospital, 16024 60th St E, Sumner, WA, USA.","active":true,"usgs":false}],"preferred":false,"id":806094,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mariani, Daniela B.","contributorId":245383,"corporation":false,"usgs":false,"family":"Mariani","given":"Daniela","email":"","middleInitial":"B.","affiliations":[{"id":49177,"text":"Federal Rural University of Pernambuco, Department of Veterinary Medicine, Recife, Pernambuco, Brazil","active":true,"usgs":false}],"preferred":false,"id":806095,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weatherby, Tina M.","contributorId":245384,"corporation":false,"usgs":false,"family":"Weatherby","given":"Tina","email":"","middleInitial":"M.","affiliations":[{"id":36402,"text":"University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":806096,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rameyer, Robert 0000-0002-2145-1746 bob_rameyer@usgs.gov","orcid":"https://orcid.org/0000-0002-2145-1746","contributorId":150128,"corporation":false,"usgs":true,"family":"Rameyer","given":"Robert","email":"bob_rameyer@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":806097,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dagenais, Julie","contributorId":245385,"corporation":false,"usgs":false,"family":"Dagenais","given":"Julie","affiliations":[{"id":13108,"text":"IAP World Services","active":true,"usgs":false}],"preferred":false,"id":806098,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Breeden, Renee 0000-0001-5910-3627 rbreeden@usgs.gov","orcid":"https://orcid.org/0000-0001-5910-3627","contributorId":149679,"corporation":false,"usgs":true,"family":"Breeden","given":"Renee","email":"rbreeden@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":806099,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Beale, Allison","contributorId":245386,"corporation":false,"usgs":false,"family":"Beale","given":"Allison","email":"","affiliations":[{"id":49178,"text":"Leeward Community College","active":true,"usgs":false}],"preferred":false,"id":806100,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70216445,"text":"sir20205095 - 2020 - Landscape and climatic influences on actual evapotranspiration and available water using the Operational Simplified Surface Energy Balance (SSEBop) Model in eastern Bernalillo County, New Mexico, 2015","interactions":[],"lastModifiedDate":"2021-06-14T19:39:33.551007","indexId":"sir20205095","displayToPublicDate":"2020-11-19T07:20:28","publicationYear":"2020","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":"2020-5095","displayTitle":"Landscape and Climatic Influences on Actual Evapotranspiration and Available Water Using the Operational Simplified Surface Energy Balance (SSEBop) Model in Eastern Bernalillo County, New Mexico, 2015","title":"Landscape and climatic influences on actual evapotranspiration and available water using the Operational Simplified Surface Energy Balance (SSEBop) Model in eastern Bernalillo County, New Mexico, 2015","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the Bernalillo County Public Works Division, conducted a 1-year study in 2015 to assess the spatial and temporal distribution of evapotranspiration (ET) and available water within the East Mountain area in Bernalillo County, New Mexico. ET and available water vary spatiotemporally because of complex interactions among environmental factors, including vegetation characteristics, soil characteristics, topography, and climate.</p><p>Precipitation data from the Parameter-Elevation Regressions on Independent Slopes Model (PRISM) (<i>P</i>) were used in conjunction with actual ET (<i>ETa</i>) data from the Operational Simplified Surface Energy Balance (SSEBop) model to estimate available water (<i>P </i>– <i>ETa</i>) at 100-meter (m) resolution in the study area. Maps, descriptive statistics, boxplots, regression analyses (continuous data), and multiple comparison tests (categorical data) were used to characterize <i>P</i>, <i>ETa</i>, and available water and their relations to topographic, soil, and vegetation datasets in the East Mountain area. Five categories of the natural land-cover type (evergreen forest, shrub, herbaceous, deciduous forest, and mixed forest) and four categories of developed land-cover type specific to residential intensity (developed open, developed low, developed medium, and developed high) were analyzed individually and in interaction with multiple elevation, tree canopy, and soil texture classes.</p><p>Annual mean <i>P</i> in 2015 in the East Mountain area was 608 millimeters (mm), and annual mean <i>ETa</i> was 543 mm (89 percent of annual <i>P</i> in 2015), indicating that in 2015, a spatial mean of about 65 mm of water was available for runoff, soil moisture replenishment, or groundwater recharge. Monthly <i>ETa</i> was greatest in July and smallest in January. The intervening months did not show smooth temporal or consistent spatial changes from month to month. Months with lower <i>ETa</i> (January to March, October to December) also tended to have greater available water, indicating that soil moisture (water supply) and potential ET (water demand) may have been out of phase.</p><p>Regression analyses showed that monthly <i>ETa</i> data had the highest correlation with annual <i>ETa</i> among the atmospheric, topographic, soil, or vegetation datasets, particularly during the early and late growing season (March, April, May, and September). In contrast, monthly <i>P</i> was highly variable and not as highly correlated with annual <i>ETa</i>. Among landscape variables, correlations with annual <i>ETa</i> were highest for tree canopy cover (coefficient of determination [R<sup>2</sup>] = 0.46). Correlations between <i>ETa</i> and other landscape variables were lower (R<sup>2</sup> = 0.06–0.19): available soil water in the top 100 centimeters, soil bulk density of layer 1, slope, sand content of soil layer 1, soil depth, available soil water in the top 25 centimeters, leaf area index, aspect eastness, and elevation. Evergreen forest areas had the highest annual median <i>ETa</i>, followed by mixed forest, open residential areas, and deciduous forest. Available water typically was higher in landcover types with lower <i>ETa</i>: herbaceous cover, followed by deciduous forest, high-intensity developed areas, and shrub. Deciduous forest had the second highest median available water, despite having the fourth highest <i>ETa</i>, because deciduous forest had greater <i>P</i> than most other areas. Annual median <i>ETa</i> typically was greatest in the second highest elevation band (2,401–2,800 m above the North American Vertical Datum of 1988 [NAVD 88]), and lower in the highest elevation band (2,801–3,254 m above NAVD 88), despite having greater <i>P</i>, likely because of decreased tree canopy cover or a shift from evergreen to deciduous trees at the highest elevations.</p><p>Annual median <i>ETa</i> increased with tree canopy cover, regardless of landcover type. <i>ETa</i> correlation was higher with tree canopy than with leaf area index or normalized difference vegetation index. This result indicates that it is important to include the thermal band (from satellite multispectral data) in vegetation indices used to describe <i>ETa</i>, perhaps to account for the influence of energy limitation or water limitation on ET. Of all natural landcover types, finer soils had the most available water, whereas coarser soils had the least available water. Relations of soil type with <i>P</i> – <i>ETa</i> were different than with <i>ETa</i>, indicating ET and available water have a complex response to differences in soil type. Further modeling would be useful in determining soils’ infiltration, storage, conductivity, and plant-water availability relations to individual storms for each position in the landscape, as well as the corresponding effects of these processes on ET and available water.</p><p>The best multivariate linear model for annual <i>ETa</i> had an R<sup>2</sup> value of 0.62. Monthly <i>ETa</i> models had R<sup>2</sup> values between 0.16 and 0.65. Models usually, but not always, performed best during the growing season. These results indicate that even the best multivariate linear models cannot explain a notable amount of the variability in ET. The monthly <i>ETa</i> models with the highest correlations (August and September) followed a July having almost twice the mean precipitation for July (1981–2010), which indicates that a soil-moisture variable is needed to more accurately model monthly <i>ETa</i>. Further study is needed to better characterize this system, the variables that affect ET and available water, and the partitioning of available water into runoff, soil moisture storage, and groundwater recharge.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205095","collaboration":"Prepared in cooperation with the Bernalillo County Public Works Division","usgsCitation":"Douglas-Mankin, K.R., McCutcheon, R.J., Mitchell, A.C., and Senay, G.B., 2020, Landscape and climatic influences on actual evapotranspiration and available water using the Operational Simplified Surface Energy Balance (SSEBop) Model in eastern Bernalillo County, New Mexico, 2015: U.S. Geological Survey Scientific Investigations Report 2020–5095, 40 p., https://doi.org/10.3133/sir20205095.","productDescription":"x, 40 p.","numberOfPages":"53","onlineOnly":"Y","ipdsId":"IP-101269","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":380594,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5095/sir20205095.pdf","text":"Report","size":"3.90 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020–5095"},{"id":380593,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5095/coverthb.jpg"}],"country":"United States","state":"New Mexico","county":"Bernalillo County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -106.65252685546875,\n              34.879171662167664\n            ],\n            [\n              -105.88623046874999,\n              34.879171662167664\n            ],\n            [\n              -105.88623046874999,\n              35.35545618392078\n            ],\n            [\n              -106.65252685546875,\n              35.35545618392078\n            ],\n            [\n              -106.65252685546875,\n              34.879171662167664\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/nm-water\" href=\"https://www.usgs.gov/centers/nm-water\">New Mexico Water Science Center</a> <br>U.S. Geological Survey<br>6700 Edith Blvd. NE <br>Albuquerque, NM 87113<br> </p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Background</li><li>Materials and Methods</li><li>Climate in the East Mountain Area for the Study Period, 2015</li><li><i>ETa</i> and Available Water in the East Mountain Area</li><li>Spatial and Temporal Variability of <i>ETa</i> and Available Water</li><li>Landscape and Climatic Effects on <i>ETa</i> and Available Water</li><li>Summary and Conclusions</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2020-11-19","noUsgsAuthors":false,"publicationDate":"2020-11-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Douglas-Mankin, Kyle R. 0000-0002-3155-3666","orcid":"https://orcid.org/0000-0002-3155-3666","contributorId":203927,"corporation":false,"usgs":true,"family":"Douglas-Mankin","given":"Kyle","email":"","middleInitial":"R.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":805137,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCutcheon, Ryan J. 0000-0003-3775-006X","orcid":"https://orcid.org/0000-0003-3775-006X","contributorId":245006,"corporation":false,"usgs":true,"family":"McCutcheon","given":"Ryan","email":"","middleInitial":"J.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":805138,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mitchell, Aurelia C. 0000-0003-3302-4546","orcid":"https://orcid.org/0000-0003-3302-4546","contributorId":222580,"corporation":false,"usgs":true,"family":"Mitchell","given":"Aurelia C.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":805139,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":805140,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70217013,"text":"70217013 - 2020 - Effectiveness of submerged vanes for stabilizing streamside bluffs","interactions":[],"lastModifiedDate":"2020-12-28T12:27:46.986888","indexId":"70217013","displayToPublicDate":"2020-11-19T06:27:08","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2338,"text":"Journal of Hydraulic Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Effectiveness of submerged vanes for stabilizing streamside bluffs","docAbstract":"<div class=\"NLM_sec NLM_sec_level_1 hlFld-Abstract\"><p>The effectiveness of submerged vanes for stabilizing streamside bluffs varied over a 10-year monitoring period in a tributary to Lake Superior, United States. Submerged vanes are a river training device used to divert river flows away from eroding banks along meander bends and ultimately hold constant or reverse the direction of lateral migration. At the study site, the relatively steep slope, large substrate size, and flashy flow regime pushed the upper end of the design limitations of submerged vanes. Changes in channel location and morphology due to the vanes were monitored using repeat channel cross-section surveys along a 110-m reach. The vanes experienced 15 floods over the monitoring period. The two most damaging floods happened in the summer and fall of 2005 with annual exceedance probabilities of 7% and 6% respectively. A new data analysis method for rivers, using centroids of cross sections, was useful to track channel migration rapidly and objectively and, along with calculations of changes in bankfull channel size, provide metrics to describe channel change.</p></div>","language":"English","publisher":"ASCE","doi":"10.1061/(ASCE)HY.1943-7900.0001834","usgsCitation":"Lee, B.O., Fitzpatrick, F., and Hoopes, J.A., 2020, Effectiveness of submerged vanes for stabilizing streamside bluffs: Journal of Hydraulic Engineering, v. 147, no. 2, 14 p., https://doi.org/10.1061/(ASCE)HY.1943-7900.0001834.","productDescription":"14 p.","ipdsId":"IP-114880","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":381639,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"147","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lee, Benjamin O. 0000-0001-9620-6617","orcid":"https://orcid.org/0000-0001-9620-6617","contributorId":245887,"corporation":false,"usgs":false,"family":"Lee","given":"Benjamin","email":"","middleInitial":"O.","affiliations":[{"id":49362,"text":"Fish Creek Restoration LLC","active":true,"usgs":false}],"preferred":false,"id":807266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fitzpatrick, Faith A. 0000-0002-9748-7075","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":209612,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":807267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoopes, John A.","contributorId":16516,"corporation":false,"usgs":true,"family":"Hoopes","given":"John","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":807278,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70216686,"text":"70216686 - 2020 - Reproduction and denning by San Clemente Island Foxes: Age, sex, and polygamy","interactions":[],"lastModifiedDate":"2020-11-30T15:18:26.853242","indexId":"70216686","displayToPublicDate":"2020-11-18T09:14:29","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5991,"text":"The Southwestern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Reproduction and denning by San Clemente Island Foxes: Age, sex, and polygamy","docAbstract":"<p><span>Channel Island foxes (</span><i>Urocyon littoralis</i><span>) live on six of the eight California Channel Islands, and each island is inhabited by a distinct subspecies. Until recently, four of these subspecies were listed under the Endangered Species Act as endangered. Although three of the four subspecies have been delisted, and one subspecies was downlisted to threatened, all subspecies are still vulnerable because of small population sizes and potential threats from predation and disease. Consequently, information on reproductive behavior for each subspecies, including the San Clemente Island fox (</span><i>Urocyon littoralis clementae</i><span>), is important for understanding fox population dynamics. We determined reproductive status of 28 island foxes through observations of radio collared yearlings and adults with or without juveniles between 25 February and 8 October 2009. We found a greater number of adult foxes than yearling foxes and a greater number of female foxes than male foxes observed with juveniles. Also, there was a significantly greater probability of observing adult female foxes with juveniles than yearling males with juveniles. Only 1 of 28 radio collared foxes exhibited either polygamous or “helper” behaviors. Parturition started approximately 2 months earlier than historically recorded for other Channel Island fox subspecies. Our results suggest that in future studies of reproductive success more effort should be placed on monitoring adult females than yearling males. If emergence from dens continues to occur earlier than previously recorded, the current recommended time period for trapping (20 June–31 January) might need revision to exclude January to reduce stress to pregnant females. If all foxes have similar probabilities of transmitting disease on a given contact with juveniles, our data suggest that it may be appropriate to focus more vaccination efforts on females than males and adults than yearlings because they contact juveniles more frequently.</span></p>","language":"English","publisher":"BioOne","doi":"10.1894/0038-4909-64.3-4.164","usgsCitation":"Hamblen, E.E., Andelt, W.F., and Stanley, T.R., 2020, Reproduction and denning by San Clemente Island Foxes: Age, sex, and polygamy: The Southwestern Naturalist, v. 64, no. 3-4, p. 164-172, https://doi.org/10.1894/0038-4909-64.3-4.164.","productDescription":"9 p.","startPage":"164","endPage":"172","ipdsId":"IP-095894","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":380872,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Channel Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -118.33099365234375,\n              32.78958351251041\n            ],\n            [\n              -118.25958251953124,\n              33.37182502950726\n            ],\n            [\n              -118.63586425781249,\n              33.53452667616054\n            ],\n            [\n              -119.40216064453126,\n              34.05265942137599\n            ],\n            [\n              -119.94049072265625,\n              34.109530506665884\n            ],\n            [\n              -120.46234130859376,\n              34.0822371521209\n            ],\n            [\n              -120.47607421874999,\n              33.99119576995599\n            ],\n            [\n              -120.06683349609374,\n              33.84076406581977\n            ],\n            [\n              -119.55322265624999,\n              33.169743600216165\n            ],\n            [\n              -118.36944580078124,\n              32.759562025650126\n            ],\n            [\n              -118.33099365234375,\n              32.78958351251041\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"64","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hamblen, Emily E.","contributorId":245310,"corporation":false,"usgs":false,"family":"Hamblen","given":"Emily","email":"","middleInitial":"E.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":805883,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andelt, William F.","contributorId":49296,"corporation":false,"usgs":false,"family":"Andelt","given":"William","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":805884,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stanley, Thomas R. 0000-0002-8393-0005 stanleyt@usgs.gov","orcid":"https://orcid.org/0000-0002-8393-0005","contributorId":209928,"corporation":false,"usgs":true,"family":"Stanley","given":"Thomas","email":"stanleyt@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":805885,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70216741,"text":"70216741 - 2020 - Impacts of environmental conditions on fleas in black-tailed prairie dog burrows","interactions":[],"lastModifiedDate":"2020-12-03T14:15:29.931166","indexId":"70216741","displayToPublicDate":"2020-11-18T08:10:41","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2489,"text":"Journal of Vector Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Impacts of environmental conditions on fleas in black-tailed prairie dog burrows","docAbstract":"<div class=\"article-section__content en main\"><p>Sylvatic plague, caused by the bacterium<span>&nbsp;</span><i>Yersinia pestis</i><span>&nbsp;</span>and transmitted by fleas, occurs in prairie dogs of the western United States. Outbreaks can devastate prairie dog communities, often causing nearly 100% mortality. Three competent flea vectors, prairie dog specialists<span>&nbsp;</span><i>Oropsylla hirsuta</i><span>&nbsp;</span>and<span>&nbsp;</span><i>O. tuberculata</i>, and generalist<span>&nbsp;</span><i>Pulex simulans</i>, are found on prairie dogs and in their burrows. Fleas are affected by climate, which varies across the range of black‐tailed prairie dogs (<i>Cynomys ludovicianus</i>), but these effects may be ameliorated somewhat due to the burrowing habits of prairie dogs. Our goal was to assess how temperature and precipitation affect off‐host flea abundance and whether relative flea abundance varied across the range of black‐tailed prairie dogs. Flea abundance was measured by swabbing 300 prairie dog burrows at six widely distributed sites in early and late summer of 2016 and 2017. Relative abundance of flea species varied among sites and sampling sessions. Flea abundance and prevalence increased with monthly mean high temperature and declined with higher winter precipitation. Predicted climate change in North America will likely influence flea abundance and distribution, thereby impacting plague dynamics in prairie dog colonies.</p></div>","language":"English","publisher":"Wiley","doi":"10.1111/jvec.12405","usgsCitation":"Poje, J.E., Rocke, T.E., and Samuel, M., 2020, Impacts of environmental conditions on fleas in black-tailed prairie dog burrows: Journal of Vector Ecology, v. 45, no. 2, p. 356-365, https://doi.org/10.1111/jvec.12405.","productDescription":"10 p.","startPage":"356","endPage":"365","ipdsId":"IP-122241","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":454797,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jvec.12405","text":"Publisher Index Page"},{"id":380951,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Colorado, Idaho, Kansas, Montana, North Dakota, Nebraska, New Mexico, Nevada, Oklahoma, Oregon, South Dakota, Texas, Utah, Washington, Wyoming","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-96.443408,42.489495],[-96.079915,41.757895],[-96.089714,41.531778],[-95.871489,41.295797],[-95.885349,40.721093],[-95.41932,40.048442],[-94.916918,39.836138],[-95.113077,39.559133],[-94.615834,39.160003],[-94.617919,36.499414],[-94.431822,35.397652],[-94.485528,33.663388],[-94.386086,33.544923],[-94.070395,33.574561],[-94.0427,32.056012],[-93.523248,31.037842],[-93.765822,30.333318],[-93.702436,30.112721],[-93.922744,29.818808],[-93.852868,29.675885],[-94.731047,29.369141],[-94.532348,29.5178],[-94.767246,29.525523],[-94.724616,29.774766],[-94.965963,29.70033],[-94.894234,29.338],[-95.16525,29.113566],[-94.73132,29.338066],[-94.803695,29.279237],[-96.341617,28.417334],[-95.983106,28.641942],[-96.221784,28.580364],[-96.287942,28.683164],[-96.473694,28.57324],[-96.664534,28.696904],[-96.481836,28.407844],[-96.790235,28.383926],[-96.898123,28.152881],[-97.21535,28.076575],[-97.040618,28.028708],[-97.183455,27.833231],[-97.354614,27.849572],[-97.296598,27.613947],[-97.399398,27.344735],[-97.640111,27.270943],[-97.485149,27.250841],[-97.552325,26.867633],[-97.145567,25.971132],[-97.445113,25.850026],[-97.711145,26.033043],[-98.20496,26.066419],[-99.110855,26.426278],[-99.452316,27.062669],[-99.556812,27.614336],[-99.841708,27.766464],[-100.280518,28.267969],[-100.785521,29.228137],[-101.441059,29.753451],[-102.341033,29.869305],[-102.698347,29.695591],[-103.107811,29.013812],[-103.427754,29.042334],[-104.46652,29.609296],[-104.924796,30.604832],[-106.158218,31.438885],[-106.381039,31.73211],[-108.208394,31.783599],[-108.208573,31.333395],[-111.000643,31.332177],[-114.813613,32.494277],[-114.722746,32.713071],[-117.118868,32.534706],[-117.50565,33.334063],[-118.088896,33.729817],[-118.428407,33.774715],[-118.519514,34.027509],[-119.159554,34.119653],[-119.616862,34.420995],[-120.441975,34.451512],[-120.608355,34.556656],[-120.644311,35.139616],[-120.873046,35.225688],[-120.884757,35.430196],[-121.851967,36.277831],[-121.932508,36.559935],[-121.788278,36.803994],[-121.880167,36.950151],[-122.140578,36.97495],[-122.419113,37.24147],[-122.511983,37.77113],[-122.425942,37.810979],[-122.168449,37.504143],[-122.144396,37.581866],[-122.385908,37.908136],[-122.301804,38.105142],[-122.484411,38.11496],[-122.492474,37.82484],[-122.972378,38.020247],[-123.103706,38.415541],[-123.725367,38.917438],[-123.851714,39.832041],[-124.327691,40.23737],[-124.38494,40.48982],[-124.118147,40.989263],[-124.063076,41.439579],[-124.536073,42.814175],[-124.150267,43.91085],[-123.962887,45.280218],[-123.996766,46.20399],[-123.548194,46.248245],[-124.029924,46.308312],[-124.06842,46.601397],[-123.97083,46.47537],[-123.84621,46.716795],[-124.022413,46.708973],[-124.108078,46.836388],[-123.86018,46.948556],[-124.138035,46.970959],[-124.425195,47.738434],[-124.672427,47.964414],[-124.727022,48.371101],[-123.981032,48.164761],[-122.748911,48.117026],[-122.637425,47.889945],[-123.15598,47.355745],[-122.527593,47.905882],[-122.578211,47.254804],[-122.725738,47.33047],[-122.691771,47.141958],[-122.796646,47.341654],[-122.863732,47.270221],[-122.67813,47.103866],[-122.364168,47.335953],[-122.429841,47.658919],[-122.230046,47.970917],[-122.425572,48.232887],[-122.358375,48.056133],[-122.512031,48.133931],[-122.424102,48.334346],[-122.689121,48.476849],[-122.425271,48.599522],[-122.796887,48.975026],[-97.229039,49.000687],[-97.116185,48.709348],[-97.145243,48.174046],[-96.854812,47.606328],[-96.774763,46.607461],[-96.557952,46.102442],[-96.612512,45.794442],[-96.82616,45.654164],[-96.452315,45.208986],[-96.453049,43.500415],[-96.591213,43.500514],[-96.439335,43.113916],[-96.630311,42.770885],[-96.443408,42.489495]]],[[[-119.789798,34.05726],[-119.5667,34.053452],[-119.795938,33.962929],[-119.916216,34.058351],[-119.789798,34.05726]]],[[[-118.524531,32.895488],[-118.573522,32.969183],[-118.369984,32.839273],[-118.524531,32.895488]]],[[[-118.500212,33.449592],[-118.32446,33.348782],[-118.593969,33.467198],[-118.500212,33.449592]]],[[[-97.240849,26.411504],[-97.383531,26.875521],[-97.366771,27.333276],[-96.946988,28.026522],[-96.403206,28.371475],[-96.929053,27.99044],[-97.276091,27.472145],[-97.370731,26.909706],[-97.161471,26.088705],[-97.240849,26.411504]]],[[[-122.519535,48.288314],[-122.66921,48.240614],[-122.400628,48.036563],[-122.419274,47.912125],[-122.744612,48.20965],[-122.664928,48.374823],[-122.519535,48.288314]]],[[[-122.800217,48.60169],[-122.883759,48.418793],[-123.173061,48.579086],[-122.949116,48.693398],[-122.743049,48.661991],[-122.800217,48.60169]]]]},\"properties\":{\"name\":\"Arizona\",\"nation\":\"USA  \"}}]}","volume":"45","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-11-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Poje, Julia E.","contributorId":206595,"corporation":false,"usgs":false,"family":"Poje","given":"Julia","email":"","middleInitial":"E.","affiliations":[{"id":37348,"text":"Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin – Madison, Madison, WI, 53705","active":true,"usgs":false}],"preferred":false,"id":806025,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rocke, Tonie E. 0000-0003-3933-1563 trocke@usgs.gov","orcid":"https://orcid.org/0000-0003-3933-1563","contributorId":2665,"corporation":false,"usgs":true,"family":"Rocke","given":"Tonie","email":"trocke@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":806026,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Samuel, Michael D.","contributorId":206351,"corporation":false,"usgs":false,"family":"Samuel","given":"Michael D.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":806027,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70216980,"text":"70216980 - 2020 - Ensemble ShakeMaps for magnitude 9 earthquakes on the Cascadia Subduction Zone","interactions":[],"lastModifiedDate":"2021-02-04T14:51:07.249943","indexId":"70216980","displayToPublicDate":"2020-11-18T07:40:12","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Ensemble ShakeMaps for magnitude 9 earthquakes on the Cascadia Subduction Zone","docAbstract":"<p><span>We develop ensemble ShakeMaps for various magnitude 9 (</span><span class=\"inline-formula no-formula-id\">⁠<span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi xmlns=&quot;&quot; mathvariant=&quot;bold&quot;>M</mi></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mi\">M</span></span></span></span><span class=\"MJX_Assistive_MathML\">M</span></span></span><span>&nbsp;9) earthquakes on the Cascadia megathrust. Ground‐shaking estimates are based on 30&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi xmlns=&quot;&quot; mathvariant=&quot;bold&quot;>M</mi></math>\"><span id=\"MathJax-Span-4\" class=\"math\"><span><span id=\"MathJax-Span-5\" class=\"mrow\"><span id=\"MathJax-Span-6\" class=\"mi\">M</span></span></span></span><span class=\"MJX_Assistive_MathML\">M</span></span></span><span>&nbsp;9 Cascadia earthquake scenarios, which were selected using a logic‐tree approach that varied the hypocenter location, down‐dip rupture limit, slip distribution, and location of strong‐motion‐generating subevents. In a previous work,&nbsp;</span><a class=\"link link-ref link-reveal xref-bibr\" data-open=\"rf12\">Frankel<span>&nbsp;</span><i>et&nbsp;al.</i><span>&nbsp;</span>(2018)</a><span>&nbsp;used a hybrid approach (i.e., 3D deterministic simulations for frequencies&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-3-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot; form=&quot;prefix&quot;>&amp;lt;</mo><mn xmlns=&quot;&quot;>1</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot;>Hz</mi></math>\"><span id=\"MathJax-Span-7\" class=\"math\"><span><span id=\"MathJax-Span-8\" class=\"mrow\"><span id=\"MathJax-Span-9\" class=\"mo\">&lt;</span><span id=\"MathJax-Span-10\" class=\"mn\">1</span><span id=\"MathJax-Span-11\" class=\"mtext\">  </span><span id=\"MathJax-Span-12\" class=\"mi\">Hz</span></span></span></span><span class=\"MJX_Assistive_MathML\">&lt;1  Hz</span></span></span><span>&nbsp;and stochastic synthetics for frequencies&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-4-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo xmlns=&quot;&quot; form=&quot;prefix&quot;>&amp;gt;</mo><mn xmlns=&quot;&quot;>1</mn><mtext xmlns=&quot;&quot;>&amp;#x2009;&amp;#x2009;</mtext><mi xmlns=&quot;&quot;>Hz</mi></math>\"><span id=\"MathJax-Span-13\" class=\"math\"><span><span id=\"MathJax-Span-14\" class=\"mrow\"><span id=\"MathJax-Span-15\" class=\"mo\">&gt;</span><span id=\"MathJax-Span-16\" class=\"mn\">1</span><span id=\"MathJax-Span-17\" class=\"mtext\">  </span><span id=\"MathJax-Span-18\" class=\"mi\">Hz</span></span></span></span><span class=\"MJX_Assistive_MathML\">&gt;1  Hz</span></span>⁠</span><span>) and uniform site amplification factors to create broadband seismograms from this set of 30 earthquake scenarios. Here, we expand on this work by computing site‐specific amplification factors for the Pacific Northwest and applying these factors to the ground‐motion estimates derived from&nbsp;</span><a class=\"link link-ref link-reveal xref-bibr\" data-open=\"rf12\">Frankel<span>&nbsp;</span><i>et&nbsp;al.</i><span>&nbsp;</span>(2018)</a><span>. In addition, we use empirical ground‐motion models (GMMs) to expand the ground‐shaking estimates beyond the original model extent of&nbsp;</span><a class=\"link link-ref link-reveal xref-bibr\" data-open=\"rf12\">Frankel<span>&nbsp;</span><i>et&nbsp;al.</i><span>&nbsp;</span>(2018)</a><span>&nbsp;to cover all of Washington State, Oregon, northern California, and southern British Columbia to facilitate the use of these ensemble ShakeMaps in region‐wide risk assessments and scenario planning exercises. Using this updated set of 30&nbsp;</span><span class=\"inline-formula no-formula-id\"><span id=\"MathJax-Element-5-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi xmlns=&quot;&quot; mathvariant=&quot;bold&quot;>M</mi></math>\"><span id=\"MathJax-Span-19\" class=\"math\"><span><span id=\"MathJax-Span-20\" class=\"mrow\"><span id=\"MathJax-Span-21\" class=\"mi\">M</span></span></span></span><span class=\"MJX_Assistive_MathML\">M</span></span></span><span>&nbsp;9 Cascadia earthquake scenarios, we present ensemble ShakeMaps for the median, 2nd, 16th, 84th, and 98th percentile ground‐motion intensity measures. Whereas traditional scenario ShakeMaps are based on a single hypothetical earthquake rupture, our ensemble ShakeMaps take advantage of a logic‐tree approach to estimating ground motions from multiple earthquake rupture scenarios. In addition, 3D earthquake simulations capture important features such as strong ground‐motion amplification in the Pacific Northwest’s sedimentary basins, which are not well represented in the empirical GMMs that compose traditional scenario ShakeMaps. Overall, our results highlight the importance of strong‐motion‐generating subevents for coastal sites, as well as the amplification of long‐period ground shaking in deep sedimentary basins, compared with previous scenario ShakeMaps for Cascadia.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220200240","usgsCitation":"Wirth, E.A., Grant, A.R., Marafi, N.A., and Frankel, A.D., 2020, Ensemble ShakeMaps for magnitude 9 earthquakes on the Cascadia Subduction Zone: Seismological Research Letters, v. 92, no. 1, p. 199-211, https://doi.org/10.1785/0220200240.","productDescription":"13 p.","startPage":"199","endPage":"211","ipdsId":"IP-120218","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":381570,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","otherGeospatial":"Cascadia Subduction Zone","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -126.65039062499999,\n              37.405073750176925\n            ],\n            [\n              -118.95996093749999,\n              37.405073750176925\n            ],\n            [\n              -118.95996093749999,\n              49.095452162534826\n            ],\n            [\n              -126.65039062499999,\n              49.095452162534826\n            ],\n            [\n              -126.65039062499999,\n              37.405073750176925\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"92","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-11-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Wirth, Erin A. 0000-0002-8592-4442","orcid":"https://orcid.org/0000-0002-8592-4442","contributorId":207853,"corporation":false,"usgs":true,"family":"Wirth","given":"Erin","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":807160,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grant, Alex R. 0000-0002-5096-4305","orcid":"https://orcid.org/0000-0002-5096-4305","contributorId":219066,"corporation":false,"usgs":true,"family":"Grant","given":"Alex","middleInitial":"R.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":807161,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marafi, Nasser A.","contributorId":197874,"corporation":false,"usgs":false,"family":"Marafi","given":"Nasser","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":807162,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frankel, Arthur D. 0000-0001-9119-6106 afrankel@usgs.gov","orcid":"https://orcid.org/0000-0001-9119-6106","contributorId":146285,"corporation":false,"usgs":true,"family":"Frankel","given":"Arthur","email":"afrankel@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":807163,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70220562,"text":"70220562 - 2020 - Brood parasitism of greater sage-grouse by California Quail in Idaho","interactions":[],"lastModifiedDate":"2021-05-20T12:09:38.327609","indexId":"70220562","displayToPublicDate":"2020-11-18T07:35:46","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Brood parasitism of greater sage-grouse by California Quail in Idaho","docAbstract":"<p><span>We describe a case of brood parasitism of a Greater Sage-Grouse (</span><i>Centrocercus urophasianus</i><span>; hereafter, sage-grouse) nest by California Quail (</span><i>Callipepla californica</i><span>; hereafter, quail) in southwestern Idaho during 2019. We observed one quail egg in the parasitized nest; the egg partially hatched, but the chick was dead upon the final nest check. Of the 6 sage-grouse eggs in the nest, only 2 hatched, although the eggs contained chicks that appeared nearly completely developed. Identification of the quail chick was confirmed using mitochondrial DNA. Additional monitoring and documentation of this behavioral interaction is warranted to better understand its prevalence and any reproductive consequences for sage-grouse.</span></p>","language":"English","publisher":"BioOne","doi":"10.3398/064.080.0418","usgsCitation":"Rabon, J.C., McIntire, S.E., Coates, P.S., Ricca, M.A., and Johnson, T.N., 2020, Brood parasitism of greater sage-grouse by California Quail in Idaho: Western North American Naturalist, v. 80, no. 4, p. 569-572, https://doi.org/10.3398/064.080.0418.","productDescription":"4 p.","startPage":"569","endPage":"572","ipdsId":"IP-113760","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":385755,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.02636718749999,\n              48.980216985374994\n            ],\n            [\n              -116.98242187499999,\n              45.73685954736049\n            ],\n            [\n              -117.333984375,\n              44.37098696297173\n            ],\n            [\n              -116.98242187499999,\n              42.06560675405716\n            ],\n            [\n              -111.09374999999999,\n              42.032974332441405\n            ],\n            [\n              -111.0498046875,\n              45.058001435398275\n            ],\n            [\n              -112.763671875,\n              44.59046718130883\n            ],\n            [\n              -115.97167968750001,\n              47.96050238891509\n            ],\n            [\n              -116.05957031249999,\n              49.095452162534826\n            ],\n            [\n              -117.02636718749999,\n              48.980216985374994\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"80","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rabon, Jordan C.","contributorId":223734,"corporation":false,"usgs":false,"family":"Rabon","given":"Jordan","email":"","middleInitial":"C.","affiliations":[{"id":40761,"text":"Department of Fish and Wildlife Sciences, University of Idaho, Moscow, ID 83844","active":true,"usgs":false}],"preferred":false,"id":816032,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McIntire, Sarah E","contributorId":223733,"corporation":false,"usgs":false,"family":"McIntire","given":"Sarah","email":"","middleInitial":"E","affiliations":[{"id":40761,"text":"Department of Fish and Wildlife Sciences, University of Idaho, Moscow, ID 83844","active":true,"usgs":false}],"preferred":false,"id":816033,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":816034,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ricca, Mark A. 0000-0003-1576-513X mark_ricca@usgs.gov","orcid":"https://orcid.org/0000-0003-1576-513X","contributorId":139103,"corporation":false,"usgs":true,"family":"Ricca","given":"Mark","email":"mark_ricca@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":816035,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Tracey N. 0000-0003-3480-8596","orcid":"https://orcid.org/0000-0003-3480-8596","contributorId":223735,"corporation":false,"usgs":false,"family":"Johnson","given":"Tracey","email":"","middleInitial":"N.","affiliations":[{"id":40761,"text":"Department of Fish and Wildlife Sciences, University of Idaho, Moscow, ID 83844","active":true,"usgs":false}],"preferred":false,"id":816036,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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