{"pageNumber":"458","pageRowStart":"11425","pageSize":"25","recordCount":184811,"records":[{"id":70227295,"text":"70227295 - 2021 - Data services in ocean science with a focus on the biology","interactions":[],"lastModifiedDate":"2022-01-07T15:00:16.589133","indexId":"70227295","displayToPublicDate":"2021-10-11T08:55:00","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"2","title":"Data services in ocean science with a focus on the biology","docAbstract":"<p><span>Biological ocean science has a long history; it goes back millennia, whereas the related data services have emerged in the recent digital era of the past decades. To understand where we come from—and why data services are so important—we will start by taking you back to the rise in the study of marine biology—marine biodiversity—and its key players, before immersing ourselves in the data life cycle, past and present joint global initiatives, and systems that allow(ed) scientists to more easily access biological data, online services through some simple keyboard strokes, and the many challenges we still encounter on a daily basis when dealing with these types of data.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Ocean science data: Collection, management, networking and services","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","doi":"10.1016/B978-0-12-823427-3.00006-2","usgsCitation":"Beja, J., Vandepitte, L., Benson, A., Van de Putte, A., Lear, D., De Pooter, D., Moncoiffe, G., Nicholls, J., Wambiji, N., Miloslavich, P., and Gerovasileiou, V., 2021, Data services in ocean science with a focus on the biology, chap. 2 <i>of</i> Ocean science data: Collection, management, networking and services, p. 67-129, https://doi.org/10.1016/B978-0-12-823427-3.00006-2.","productDescription":"63 p.","startPage":"67","endPage":"129","ipdsId":"IP-129691","costCenters":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"links":[{"id":450483,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/337813","text":"External Repository"},{"id":394020,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Beja, Joana","contributorId":270998,"corporation":false,"usgs":false,"family":"Beja","given":"Joana","email":"","affiliations":[{"id":56245,"text":"Flanders Marine Institute (VLIZ)","active":true,"usgs":false}],"preferred":false,"id":830337,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vandepitte, Leen","contributorId":270999,"corporation":false,"usgs":false,"family":"Vandepitte","given":"Leen","email":"","affiliations":[{"id":56245,"text":"Flanders Marine Institute (VLIZ)","active":true,"usgs":false}],"preferred":false,"id":830338,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benson, Abigail 0000-0002-4391-107X","orcid":"https://orcid.org/0000-0002-4391-107X","contributorId":202078,"corporation":false,"usgs":true,"family":"Benson","given":"Abigail","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":830339,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van de Putte, Anton","contributorId":271000,"corporation":false,"usgs":false,"family":"Van de Putte","given":"Anton","email":"","affiliations":[{"id":56246,"text":"Royal Belgian Institute for Natural Sciences","active":true,"usgs":false}],"preferred":false,"id":830340,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lear, Dan","contributorId":270562,"corporation":false,"usgs":false,"family":"Lear","given":"Dan","email":"","affiliations":[],"preferred":false,"id":830341,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"De Pooter, Daphnis","contributorId":271001,"corporation":false,"usgs":false,"family":"De Pooter","given":"Daphnis","email":"","affiliations":[{"id":56247,"text":"Commission for the Conservation of Antarctic Marine Living Resources (CCAMLR)","active":true,"usgs":false}],"preferred":false,"id":830342,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Moncoiffe, Gwenaelle","contributorId":271002,"corporation":false,"usgs":false,"family":"Moncoiffe","given":"Gwenaelle","email":"","affiliations":[{"id":56248,"text":"British Oceanographic Data Centre, National Oceanography Centre","active":true,"usgs":false}],"preferred":false,"id":830343,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nicholls, John","contributorId":271003,"corporation":false,"usgs":false,"family":"Nicholls","given":"John","email":"","affiliations":[{"id":56249,"text":"Norfish Project, Centre for Environmental Humanities, Trinity College Dublin","active":true,"usgs":false}],"preferred":false,"id":830344,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wambiji, Nina","contributorId":271004,"corporation":false,"usgs":false,"family":"Wambiji","given":"Nina","email":"","affiliations":[{"id":40920,"text":"Kenya Marine and Fisheries Research Institute","active":true,"usgs":false}],"preferred":false,"id":830345,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Miloslavich, Patricia","contributorId":206627,"corporation":false,"usgs":false,"family":"Miloslavich","given":"Patricia","email":"","affiliations":[{"id":37357,"text":"University of Tasmania, Hobart, Tasmania, Australia","active":true,"usgs":false}],"preferred":false,"id":830346,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gerovasileiou, Vasilis","contributorId":271005,"corporation":false,"usgs":false,"family":"Gerovasileiou","given":"Vasilis","email":"","affiliations":[{"id":56250,"text":"Hellenic Centre for Marine Research (HCMR), Institute of Marine Biology, Biotechnology and Aquaculture (IMBBC),","active":true,"usgs":false}],"preferred":false,"id":830347,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70229483,"text":"70229483 - 2021 - Growth inhibition of the harmful alga Prymnesium parvum by plant-derived products and identification of ellipticine as highly potent allelochemical","interactions":[],"lastModifiedDate":"2022-03-09T14:57:53.290178","indexId":"70229483","displayToPublicDate":"2021-10-11T08:54:51","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2170,"text":"Journal of Applied Phycology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Growth inhibition of the harmful alga <i>Prymnesium parvum</i> by plant-derived products and identification of ellipticine as highly potent allelochemical","title":"Growth inhibition of the harmful alga Prymnesium parvum by plant-derived products and identification of ellipticine as highly potent allelochemical","docAbstract":"<p><i>Prymnesium parvum</i><span>&nbsp;is a toxin-producing harmful alga that has caused ecological and economic damage worldwide. Effective methods to control blooms of this species in the field, however, are unavailable. This study examined five natural compounds present in the invasive plant&nbsp;</span><i>Arundo donax</i><span>&nbsp;and one synthetic derivative (5,6-dichlorogramine) for their effect on&nbsp;</span><i>P. parvum</i><span>&nbsp;growth. All compounds except one inhibited growth in the following order of potency: ellipticine &gt;  &gt; 5,6-dichlorogramine &gt; 1 H-indole = 2,4,6-trimethyl-benzonitrile &gt; gramine. Ellipticine was by far the most potent inhibitor, with full algicidal activity at concentrations as low as 0.04&nbsp;mg L</span><sup>−1</sup><span>&nbsp;and 3- and 9-day IC</span><sub>50</sub><span>&nbsp;values of 0.012 and 0.007&nbsp;mg L</span><sup>−1</sup><span>, respectively. A reduction in chlorophyll content and swimming activity and an increase in length and volume (swelling) were documented in algal cells exposed to 0.01–0.02&nbsp;mg ellipticine L</span><sup>−1</sup><span>. These results show that ellipticine is among the most potent natural algicides identified to date. The sixth compound tested, oleamide, unexpectedly stimulated algal growth above control levels. Overall, these observations confirm the existence of highly potent anti-</span><i>P. parvum</i><span>&nbsp;allelochemicals in giant reed and demonstrate potential for using products derived from this plant in the development of natural, environmentally friendly methods to control harmful algal blooms.</span></p>","language":"English","publisher":"Springer Link","doi":"10.1007/s10811-021-02545-6","usgsCitation":"Mary, M., Rashel, R.H., and Patino, R., 2021, Growth inhibition of the harmful alga Prymnesium parvum by plant-derived products and identification of ellipticine as highly potent allelochemical: Journal of Applied Phycology, v. 33, p. 3853-3860, https://doi.org/10.1007/s10811-021-02545-6.","productDescription":"8 p.","startPage":"3853","endPage":"3860","ipdsId":"IP-126020","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":396906,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","noUsgsAuthors":false,"publicationDate":"2021-10-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Mary, Mousumi","contributorId":288252,"corporation":false,"usgs":false,"family":"Mary","given":"Mousumi","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":837587,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rashel, R. H.","contributorId":286960,"corporation":false,"usgs":false,"family":"Rashel","given":"R.","email":"","middleInitial":"H.","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":837588,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":837589,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70225746,"text":"70225746 - 2021 - Earthquake magnitude distributions on northern Caribbean faults from combinatorial optimization models","interactions":[],"lastModifiedDate":"2021-11-09T14:33:40.970249","indexId":"70225746","displayToPublicDate":"2021-10-11T08:25:18","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7501,"text":"JGR Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Earthquake magnitude distributions on northern Caribbean faults from combinatorial optimization models","docAbstract":"<div class=\"article-section__content en main\"><p>On-fault earthquake magnitude distributions are calculated for northern Caribbean faults using estimates of fault slip and regional seismicity parameters. Integer programming, a combinatorial optimization method, is used to determine the optimal spatial arrangement of earthquakes sampled from a truncated Gutenberg-Richter distribution that minimizes the global misfit in slip rates on a complex fault system. Slip rates and their uncertainty on major faults are derived from a previously published GPS block model for the region, with fault traces determined from offshore geophysical mapping and previously published onshore studies. The optimal spatial arrangement of the sampled earthquakes is compared with the 500-year history of earthquake observations. Rupture segmentation of the subduction interface along the Hispaniola-Puerto Rico Trench (PRT) fault and seismic coupling on the PRT fault appear to exert the primary control over this spatial arrangement. Introducing a rupture barrier for the Hispaniola-PRT fault northwest of Mona Passage, based on geophysical and seismicity observations, and assigning a low slip rate of 2&nbsp;mm/yr on the PRT fault are most consistent with historical earthquakes in the region. The addition of low slip-rate secondary faults as well as segmentation of the Hispaniola and Septentrional strike-slip fault improves the consistency with historical seismicity. An important observation from the modeling is that varying the slip rate on the PRT fault and different segmentation scenarios result in significant changes to the optimal magnitude distribution on faults farther away. In general, optimal on-fault magnitude distributions are more complex and inter-dependent than is typically assumed in probabilistic seismic hazard analysis and probabilistic tsunami hazard analysis.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021JB022050","usgsCitation":"Geist, E.L., and ten Brink, U., 2021, Earthquake magnitude distributions on northern Caribbean faults from combinatorial optimization models: JGR Solid Earth, v. 126, no. 10, e2021JB022050, 21 p., https://doi.org/10.1029/2021JB022050.","productDescription":"e2021JB022050, 21 p.","ipdsId":"IP-126614","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":450487,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2021jb022050","text":"External Repository"},{"id":391507,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"northern Caribbean Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75,\n              16\n            ],\n            [\n              -62,\n              16\n            ],\n            [\n              -62,\n              21\n            ],\n            [\n              -75,\n              21\n            ],\n            [\n              -75,\n              16\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"126","issue":"10","noUsgsAuthors":false,"publicationDate":"2021-10-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Geist, Eric L. 0000-0003-0611-1150","orcid":"https://orcid.org/0000-0003-0611-1150","contributorId":15543,"corporation":false,"usgs":true,"family":"Geist","given":"Eric","email":"","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":826477,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"ten Brink, Uri S. 0000-0001-6858-3001 utenbrink@usgs.gov","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":127560,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri S.","email":"utenbrink@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":false,"id":826478,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70225638,"text":"70225638 - 2021 - Assessment of variation in the detection and prevalence of blood parasites among sympatrically breeding geese in western Alaska, USA","interactions":[],"lastModifiedDate":"2021-10-29T13:31:49.584592","indexId":"70225638","displayToPublicDate":"2021-10-11T08:21:42","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Assessment of variation in the detection and prevalence of blood parasites among sympatrically breeding geese in western Alaska, USA","docAbstract":"<p><span>Haemosporidian parasites may impact avian health and are subject to shifts in distribution and abundance with changing ecologic conditions. Therefore, understanding variation in parasite prevalence is important for evaluating biologically meaningful changes in infection patterns and associated population level impacts. Previous research in western Alaska, US, indicated a possible increase in&nbsp;</span><i>Leucocytozoon</i><span>&nbsp;spp. infection between Emperor Geese (</span><i>Anser canagicus</i><span>) sampled in 1996 (&lt;1%,&nbsp;</span><i>n</i><span>=134) and during 2011–12 (19.9%, 95% confidence interval [CI]: 3.0–36.8%,&nbsp;</span><i>n</i><span>=77); however, different detection methods were used for these estimates. Prior research in this same region identified a lack of&nbsp;</span><i>Leucocytozoon</i><span>&nbsp;spp. parasites (0%,&nbsp;</span><i>n</i><span>=117) in sympatrically breeding Cackling Geese (</span><i>Branta hutchinsii minima</i><span>) in 2011. We molecularly screened blood samples collected from sympatrically breeding Emperor and Cackling Geese in western Alaska during additional breeding seasons to better assess temporal and species-specific variation in the prevalence of blood parasites. We found similar prevalence estimates for&nbsp;</span><i>Leucocytozoon</i><span>&nbsp;spp. parasites in Emperor Goose blood samples collected in 1998 and 2014, suggesting consistent infection of Emperor Geese with blood parasites at these time points. Using samples from sympatric geese sampled during 2014, we found evidence for a higher incidence of parasites among Emperor Geese (20.3%, 95% CI: 11.8–32.7%) compared to Cackling Geese (3.6%, 95% CI: 1.1–11.0%), reinforcing the previous finding of species-specific differences in infection. Furthermore, we detected&nbsp;</span><i>Leucocytozoon</i><span>,&nbsp;</span><i>Haemoproteus</i><span>, and&nbsp;</span><i>Plasmodium</i><span>&nbsp;spp. blood parasites in unflighted goslings of both species, supporting the possible transmission of these parasites at western Alaska breeding grounds. Our results help to clarify that prevalence of&nbsp;</span><i>Leucocytozoon</i><span>&nbsp;spp. parasites have probably remained consistent among Emperor Geese breeding in western Alaska since the late 1990s and that this species may disproportionally harbor&nbsp;</span><i>Leucocytozoon</i><span>&nbsp;spp. compared to sympatrically breeding Cackling Geese.</span></p>","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/JWD-D-20-00159","usgsCitation":"Buchheit, R.M., Schmutz, J., Reed, J.A., Uher-Koch, B.D., and Ramey, A.M., 2021, Assessment of variation in the detection and prevalence of blood parasites among sympatrically breeding geese in western Alaska, USA: Journal of Wildlife Diseases, v. 57, no. 4, p. 799-807, https://doi.org/10.7589/JWD-D-20-00159.","productDescription":"9 p.","startPage":"799","endPage":"807","ipdsId":"IP-122123","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":436166,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9F7LD2I","text":"USGS data release","linkHelpText":"Blood Parasite Infection Data from Emperor Geese (Anser canagicus) and Cackling Geese (Branta hutchinsii minima), Yukon-Kuskokwim Delta, Alaska, 1998-2014"},{"id":391147,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Manokinak River, Yukon-Kuskokwim Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -165.673828125,\n              60.989095448939196\n            ],\n            [\n              -164.5037841796875,\n              60.989095448939196\n            ],\n            [\n              -164.5037841796875,\n              61.4597705702975\n            ],\n            [\n              -165.673828125,\n              61.4597705702975\n            ],\n            [\n              -165.673828125,\n              60.989095448939196\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"57","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Buchheit, Raymond M.","contributorId":268165,"corporation":false,"usgs":false,"family":"Buchheit","given":"Raymond","email":"","middleInitial":"M.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":826028,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmutz, Joel 0000-0002-6516-0836","orcid":"https://orcid.org/0000-0002-6516-0836","contributorId":264776,"corporation":false,"usgs":false,"family":"Schmutz","given":"Joel","affiliations":[{"id":54549,"text":"retired from USGS Alaska Science Center","active":true,"usgs":false}],"preferred":false,"id":826029,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, John A. 0000-0002-3239-6906","orcid":"https://orcid.org/0000-0002-3239-6906","contributorId":268167,"corporation":false,"usgs":true,"family":"Reed","given":"John","email":"","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":826030,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Uher-Koch, Brian D. 0000-0002-1885-0260 buher-koch@usgs.gov","orcid":"https://orcid.org/0000-0002-1885-0260","contributorId":5117,"corporation":false,"usgs":true,"family":"Uher-Koch","given":"Brian","email":"buher-koch@usgs.gov","middleInitial":"D.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":826031,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":826032,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70227461,"text":"70227461 - 2021 - A new analysis of caldera unrest through the integration of geophysical data and FEM modeling: The Long Valley caldera case study","interactions":[],"lastModifiedDate":"2022-01-18T13:17:45.229897","indexId":"70227461","displayToPublicDate":"2021-10-11T07:14:43","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"A new analysis of caldera unrest through the integration of geophysical data and FEM modeling: The Long Valley caldera case study","docAbstract":"<div class=\"art-abstract in-tab hypothesis_container\">The Long Valley Caldera, located at the eastern edge of the Sierra Nevada range in California, has been in a state of unrest since the late 1970s. Seismic, gravity and geodetic data strongly suggest that the source of unrest is an intrusion beneath the caldera resurgent dome. However, it is not clear yet if the main contribution to the deformation comes from pulses of ascending high-pressure hydrothermal fluids or low viscosity magmatic melts. To characterize the nature of the intrusion, we developed a 3D finite element model which includes topography and crust heterogeneities. We first performed joint numerical inversions of uplift and Electronic Distance Measurement baseline length change data, collected during the period 1985–1999, to infer the deformation-source size, position, and overpressure. Successively, we used this information to refine the source overpressure estimation, compute the gravity potential and infer the intrusion density from the inversion of deformation and gravity data collected in 1982–1998. The deformation source is located beneath the resurgent dome, at a depth of 7.5 ± 0.5 km and a volume change of 0.21 ± 0.04 km<sup>3</sup>. We assumed a rhyolite compressibility of 0.026 ± 0.0011 GPa<sup>−1</sup><span>&nbsp;</span>(volume fraction of water between 0% and 30%) and estimated a reservoir compressibility of 0.147 ± 0.037 GPa<sup>−1</sup>. We obtained a density of 1856 ± 72 kg/m<sup>3</sup>. This density is consistent with a rhyolite melt, with 20% to 30% of dissolved hydrothermal fluids.<span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span></span></span></div>","language":"English","publisher":"MDPI","doi":"10.3390/rs13204054","usgsCitation":"Pulvirenti, F., Silverii, F., and Battaglia, M., 2021, A new analysis of caldera unrest through the integration of geophysical data and FEM modeling: The Long Valley caldera case study: Remote Sensing, v. 13, no. 20, 4054, 24 p., https://doi.org/10.3390/rs13204054.","productDescription":"4054, 24 p.","ipdsId":"IP-131938","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":450490,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs13204054","text":"Publisher Index Page"},{"id":394449,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Long Valley caldera","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.41589355468749,\n              37.16469418870222\n            ],\n            [\n              -118.125,\n              37.16469418870222\n            ],\n            [\n              -118.125,\n              38.47509432050245\n            ],\n            [\n              -119.41589355468749,\n              38.47509432050245\n            ],\n            [\n              -119.41589355468749,\n              37.16469418870222\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"13","issue":"20","noUsgsAuthors":false,"publicationDate":"2021-10-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Pulvirenti, Fabio","contributorId":241094,"corporation":false,"usgs":false,"family":"Pulvirenti","given":"Fabio","email":"","affiliations":[{"id":48203,"text":"JPL/Caltech","active":true,"usgs":false}],"preferred":false,"id":831032,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Silverii, Francesca","contributorId":261713,"corporation":false,"usgs":false,"family":"Silverii","given":"Francesca","email":"","affiliations":[{"id":39558,"text":"Scripps Inst. Oceanography","active":true,"usgs":false}],"preferred":false,"id":831033,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Battaglia, Maurizio 0000-0003-4726-5287 mbattaglia@usgs.gov","orcid":"https://orcid.org/0000-0003-4726-5287","contributorId":204742,"corporation":false,"usgs":true,"family":"Battaglia","given":"Maurizio","email":"mbattaglia@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":831034,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70224989,"text":"70224989 - 2021 - Past, present, and future of Mars Polar Science: Outcomes and outlook from the 7th International Conference on Mars Polar Science and Exploration","interactions":[],"lastModifiedDate":"2021-10-13T12:15:32.552149","indexId":"70224989","displayToPublicDate":"2021-10-11T07:12:56","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8607,"text":"The Planetary Science Journal","active":true,"publicationSubtype":{"id":10}},"title":"Past, present, and future of Mars Polar Science: Outcomes and outlook from the 7th International Conference on Mars Polar Science and Exploration","docAbstract":"<div class=\"article-text wd-jnl-art-abstract cf\"><p>Mars Polar Science is a subfield of Mars science that encompasses all studies of the cryosphere of Mars and its interaction with the Martian environment. Every 4 yr, the community of scientists dedicated to this subfield meets to discuss new findings and debate open issues in the International Conference on Mars Polar Science and Exploration (ICMPSE). This paper summarizes the proceedings of the seventh ICMPSE and the progress made since the sixth edition. We highlight the most important advances and present the most salient open questions in the field today, as discussed and agreed upon by the participants of the conference. We also feature agreed-upon suggestions for future methods, measurements, instruments, and missions that would be essential to answering the main open questions presented. This work is thus an overview of the current status of Mars Polar Science and is intended to serve as a road map for the direction of the field during the next 4 yr and beyond, helping to shape its contribution within the larger context of planetary science and exploration.</p></div>","language":"English","publisher":"AAS","doi":"10.3847/PSJ/ac19a5","usgsCitation":"Becerra, P., Smith, I.B., Hibbard, S.M., Andres, C., Bapst, J., Bramson, A., Buhler, P., Coronato, A., Diniega, S., Emmett, J., Grau Galofre, A., Herny, C., Kahre, M., Knightly, J.P., Nerozzi, S., Pascuzzo, A., Portyankina, G., Rabassa, J., Tamppari, L., Titus, T.N., Whitten, J., and Yoldi, Z., 2021, Past, present, and future of Mars Polar Science: Outcomes and outlook from the 7th International Conference on Mars Polar Science and Exploration: The Planetary Science Journal, v. 2, no. 5, 209, 22 p., https://doi.org/10.3847/PSJ/ac19a5.","productDescription":"209, 22 p.","ipdsId":"IP-129449","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":450492,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3847/psj/ac19a5","text":"Publisher Index Page"},{"id":390463,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mars","volume":"2","issue":"5","noUsgsAuthors":false,"publicationDate":"2021-10-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Becerra, Patricio","contributorId":173341,"corporation":false,"usgs":false,"family":"Becerra","given":"Patricio","email":"","affiliations":[],"preferred":false,"id":825087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Isaac B.","contributorId":200695,"corporation":false,"usgs":false,"family":"Smith","given":"Isaac","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":825088,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hibbard, Shannon M","contributorId":229484,"corporation":false,"usgs":false,"family":"Hibbard","given":"Shannon","email":"","middleInitial":"M","affiliations":[{"id":41656,"text":"U. Western Ontario","active":true,"usgs":false}],"preferred":false,"id":825098,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Andres, Chimira","contributorId":229481,"corporation":false,"usgs":false,"family":"Andres","given":"Chimira","email":"","affiliations":[{"id":41656,"text":"U. Western Ontario","active":true,"usgs":false}],"preferred":false,"id":825089,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bapst, Jonathan","contributorId":229482,"corporation":false,"usgs":false,"family":"Bapst","given":"Jonathan","email":"","affiliations":[{"id":36276,"text":"JPL","active":true,"usgs":false}],"preferred":false,"id":825090,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bramson, Ali","contributorId":189477,"corporation":false,"usgs":false,"family":"Bramson","given":"Ali","email":"","affiliations":[],"preferred":false,"id":825091,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Buhler, Peter","contributorId":258300,"corporation":false,"usgs":false,"family":"Buhler","given":"Peter","affiliations":[{"id":36276,"text":"JPL","active":true,"usgs":false}],"preferred":false,"id":825092,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Coronato, Andrea","contributorId":267377,"corporation":false,"usgs":false,"family":"Coronato","given":"Andrea","email":"","affiliations":[{"id":55484,"text":"Centro Austral de Investigaciones Científicas - CONICET","active":true,"usgs":false}],"preferred":false,"id":825093,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Diniega, Serina","contributorId":212017,"corporation":false,"usgs":false,"family":"Diniega","given":"Serina","email":"","affiliations":[{"id":36276,"text":"JPL","active":true,"usgs":false}],"preferred":false,"id":825094,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Emmett, Jeremy","contributorId":267378,"corporation":false,"usgs":false,"family":"Emmett","given":"Jeremy","email":"","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":825095,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Grau Galofre, Anna","contributorId":267379,"corporation":false,"usgs":false,"family":"Grau Galofre","given":"Anna","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":825096,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Herny, Clemence","contributorId":267380,"corporation":false,"usgs":false,"family":"Herny","given":"Clemence","email":"","affiliations":[{"id":55485,"text":"Centre d'Etude de la Neige, CNRM/CNRS, Météo France","active":true,"usgs":false}],"preferred":false,"id":825097,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kahre, Melinda","contributorId":237031,"corporation":false,"usgs":false,"family":"Kahre","given":"Melinda","affiliations":[{"id":24796,"text":"NASA Ames Research Center","active":true,"usgs":false}],"preferred":false,"id":825099,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Knightly, J. Paul","contributorId":267381,"corporation":false,"usgs":false,"family":"Knightly","given":"J.","email":"","middleInitial":"Paul","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":825100,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Nerozzi, Stefano","contributorId":267382,"corporation":false,"usgs":false,"family":"Nerozzi","given":"Stefano","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":825101,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Pascuzzo, Alyssa","contributorId":267383,"corporation":false,"usgs":false,"family":"Pascuzzo","given":"Alyssa","email":"","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":825102,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Portyankina, Ganna","contributorId":200703,"corporation":false,"usgs":false,"family":"Portyankina","given":"Ganna","email":"","affiliations":[],"preferred":false,"id":825103,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Rabassa, Jorge","contributorId":267384,"corporation":false,"usgs":false,"family":"Rabassa","given":"Jorge","email":"","affiliations":[{"id":55484,"text":"Centro Austral de Investigaciones Científicas - CONICET","active":true,"usgs":false}],"preferred":false,"id":825104,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Tamppari, Leslie","contributorId":237035,"corporation":false,"usgs":false,"family":"Tamppari","given":"Leslie","affiliations":[{"id":36276,"text":"JPL","active":true,"usgs":false}],"preferred":false,"id":825105,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Titus, Timothy N. 0000-0003-0700-4875 ttitus@usgs.gov","orcid":"https://orcid.org/0000-0003-0700-4875","contributorId":146,"corporation":false,"usgs":true,"family":"Titus","given":"Timothy","email":"ttitus@usgs.gov","middleInitial":"N.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":825106,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Whitten, Jennifer L","contributorId":237951,"corporation":false,"usgs":false,"family":"Whitten","given":"Jennifer L","affiliations":[{"id":47657,"text":"National Air and Space Museum, Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":825107,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Yoldi, Zurine","contributorId":267385,"corporation":false,"usgs":false,"family":"Yoldi","given":"Zurine","email":"","affiliations":[{"id":27198,"text":"Niels Bohr Institute, University of Copenhagen","active":true,"usgs":false}],"preferred":false,"id":825108,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}}
,{"id":70267300,"text":"70267300 - 2021 - Differential landscape use by forest owls two years after a mixed-severity wildfire","interactions":[],"lastModifiedDate":"2025-05-20T16:45:11.657817","indexId":"70267300","displayToPublicDate":"2021-10-11T00:00:00","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Differential landscape use by forest owls two years after a mixed-severity wildfire","docAbstract":"<p><span>Owls are important avian predators in forested systems, but little is known about landscape use by most forest-adapted owl species in environments impacted by mixed-severity wildfire. To better understand species-specific patterns of post-wildfire landscape use within an owl guild, we used passive acoustic monitoring using autonomous recording units. The technology is effective for multi-species surveys, especially if some species are rare, nocturnal, or difficult to detect by traditional means. In 2017, we surveyed the interior and adjacent unburned areas of a 10,700-ha mixed-severity wildfire that burned in 2015 in southwest Oregon. We used occupancy modeling to identify patterns of landscape use by five species of forest owls: barred owls (</span><i>Strix varia</i><span>), great horned owls (</span><i>Bubo virginianus</i><span>), western screech-owls (</span><i>Megascops kennicottii</i><span>), northern pygmy-owls (</span><i>Glaucidium gnoma</i><span>), and northern saw-whet owls (</span><i>Aegolius acadicus</i><span>). Our results showed a positive relationship between increasing fire severity and probability of use by western screech-owls and a similar but somewhat weaker relationship for northern pygmy-owls. Barred owls were rarely detected in severely burned areas and their use decreased with increased fire severity. We observed generally low landscape use for great horned owls, which decreased with increased fire severity and at higher elevations. Thus, four out of the five species appeared to use recently burned forests at different levels, with only northern saw-whet owls showing near-complete avoidance of the burned area. These findings increase our understanding of the basic ecology of each species and highlight the varied use of burned areas within this community. These previously undocumented patterns of landscape use in burned landscapes should provide insights to managers and policymakers in the Pacific Northwest as climate shifts, and fires may increase in size, frequency, and severity.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.3770","usgsCitation":"Leila S. Duchac, Lesmeister, D., Dugger, K., and Davis, R., 2021, Differential landscape use by forest owls two years after a mixed-severity wildfire: Ecosphere, v. 12, no. 10, e03770, 20 p., https://doi.org/10.1002/ecs2.3770.","productDescription":"e03770, 20 p.","ipdsId":"IP-120447","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":489751,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3770","text":"Publisher Index Page"},{"id":486234,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Klamath Mountains, southwestern Cascade Range","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.15473942336051,\n              42.979349859959285\n            ],\n            [\n              -123.15473942336051,\n              42.74219443185612\n            ],\n            [\n              -122.70304770341082,\n              42.74219443185612\n            ],\n            [\n              -122.70304770341082,\n              42.979349859959285\n            ],\n            [\n              -123.15473942336051,\n              42.979349859959285\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"12","issue":"10","noUsgsAuthors":false,"publicationDate":"2021-10-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Leila S. Duchac","contributorId":355573,"corporation":false,"usgs":false,"family":"Leila S. Duchac","affiliations":[{"id":56194,"text":"fs","active":true,"usgs":false}],"preferred":false,"id":937670,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lesmeister, Damon B.","contributorId":355574,"corporation":false,"usgs":false,"family":"Lesmeister","given":"Damon B.","affiliations":[{"id":56194,"text":"fs","active":true,"usgs":false}],"preferred":false,"id":937671,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dugger, Katie M. 0000-0002-4148-246X cdugger@usgs.gov","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":4399,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"cdugger@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":937669,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Raymond J.","contributorId":355575,"corporation":false,"usgs":false,"family":"Davis","given":"Raymond J.","affiliations":[{"id":56194,"text":"fs","active":true,"usgs":false}],"preferred":false,"id":937672,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70266442,"text":"70266442 - 2021 - Spatio-temporal analysis of hypoxia in the Central Basin of Lake Erie of North America","interactions":[],"lastModifiedDate":"2025-05-07T18:55:30.807075","indexId":"70266442","displayToPublicDate":"2021-10-11T00:00:00","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Spatio-temporal analysis of hypoxia in the Central Basin of Lake Erie of North America","docAbstract":"<p><span>We develop a spatio-temporal geostatistical interpolation framework to estimate hypoxia extent (dissolved oxygen [DO] concentrations below 2&nbsp;mg/L) with data from a network of DO loggers. The framework uses empirical orthogonal functions and Bayesian kriging to identify the spatially varying temporal pattern and estimate the distribution of hypoxia, including estimation uncertainty. A prototype web application is also developed in R. The framework is applied to analyze spatio-temporal dynamics of DO in the central basin of Lake Erie in North America using data sampled from a logger network placed on the lake bottom during the summers of 2014, 2015, and 2016. Cross-validation results demonstrate that the framework is capable of capturing the dynamic nature of bottom hypoxia over offshore areas, but nearshore areas have poor interpolation performance due to the impacts of complex physical processes such as seiche events. The findings showed that in the central basin, hypoxia started to emerge in early August of 2014, while in 2015 and 2016 hypoxia began in July. The peak hypoxia extent occurred in late September 2014, mid-August 2015, and early September 2016. The prediction error of the overall spatial extent of hypoxia was as large as 25% of the interpolation area based on current logger deployment. Based on the cross-validation and interpolation error, we suggest placing more loggers in nearshore areas to reduce prediction error near the margins of the hypoxic zone.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020WR027676","usgsCitation":"Xu, W., Collingsworth, P.D., Kraus, R., and Minsker, B., 2021, Spatio-temporal analysis of hypoxia in the Central Basin of Lake Erie of North America: Water Resources Research, e2020WR027676, 21 p., https://doi.org/10.1029/2020WR027676.","productDescription":"e2020WR027676, 21 p.","ipdsId":"IP-118196","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":488149,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2020wr027676","text":"Publisher Index Page"},{"id":485521,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"central Lake Erie","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.42336336234484,\n              42.064125981872365\n            ],\n            [\n              -80.63612291121615,\n              42.61061044439231\n            ],\n            [\n              -81.33119453643565,\n              42.65041782076645\n            ],\n            [\n              -82.23999909377955,\n              42.12924860730712\n            ],\n            [\n              -82.58547021684097,\n              41.98346357854376\n            ],\n            [\n              -82.60591624431427,\n              41.37891831441843\n            ],\n            [\n              -82.04907153916253,\n              41.448543421544855\n            ],\n            [\n              -81.71420631389763,\n              41.45777327935954\n            ],\n            [\n              -81.26435037076813,\n              41.717583757728164\n            ],\n            [\n              -80.42336336234484,\n              42.064125981872365\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2021-10-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Xu, Wenzhao","contributorId":200526,"corporation":false,"usgs":false,"family":"Xu","given":"Wenzhao","email":"","affiliations":[],"preferred":false,"id":935976,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collingsworth, Paris D.","contributorId":145526,"corporation":false,"usgs":false,"family":"Collingsworth","given":"Paris","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":935977,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kraus, Richard 0000-0003-4494-1841","orcid":"https://orcid.org/0000-0003-4494-1841","contributorId":216548,"corporation":false,"usgs":true,"family":"Kraus","given":"Richard","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":935978,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Minsker, Barbara","contributorId":200528,"corporation":false,"usgs":false,"family":"Minsker","given":"Barbara","email":"","affiliations":[],"preferred":false,"id":935979,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70227076,"text":"70227076 - 2021 - Patch utilization and flower visitations by wild bees in a honey bee-dominated, grassland landscape","interactions":[],"lastModifiedDate":"2021-12-29T14:59:47.048174","indexId":"70227076","displayToPublicDate":"2021-10-10T08:53:19","publicationYear":"2021","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":"Patch utilization and flower visitations by wild bees in a honey bee-dominated, grassland landscape","docAbstract":"<p><span>Understanding habitat needs and patch utilization of wild and managed bees has been identified as a national research priority in the United States. We used occupancy models to investigate patterns of bee use across 1030 transects spanning a gradient of floral resource abundance and richness and distance from apiaries in the Prairie Pothole Region (PPR) of the United States. Estimates of transect use by honey bees were nearly 1.0 during our 3.5-month sampling period, suggesting honey bees were nearly ubiquitous across transects. Wild bees more frequently used transects with higher flower richness and more abundant flowers; however, the effect size of the native flower abundance covariate (</span><img class=\"section_image\" src=\"https://onlinelibrary.wiley.com/cms/asset/1136a98b-c839-4eb1-a29d-07123df8a57d/ece38174-math-0001.png\" alt=\"urn:x-wiley:20457758:media:ece38174:ece38174-math-0001\" data-mce-src=\"https://onlinelibrary.wiley.com/cms/asset/1136a98b-c839-4eb1-a29d-07123df8a57d/ece38174-math-0001.png\"><span>&nbsp;=&nbsp;3.90&nbsp;±&nbsp;0.65 [1SE]) was four times greater than the non-native flower covariate (</span><img class=\"section_image\" src=\"https://onlinelibrary.wiley.com/cms/asset/fc07a684-9303-4512-922d-def5f5d55032/ece38174-math-0002.png\" alt=\"urn:x-wiley:20457758:media:ece38174:ece38174-math-0002\" data-mce-src=\"https://onlinelibrary.wiley.com/cms/asset/fc07a684-9303-4512-922d-def5f5d55032/ece38174-math-0002.png\"><span>&nbsp;=&nbsp;0.99&nbsp;±&nbsp;0.17). We found some evidence that wild bee use was lower at transects near commercial apiaries, but the effect size was imprecise (</span><img class=\"section_image\" src=\"https://onlinelibrary.wiley.com/cms/asset/2b3fddec-5b00-412a-86d8-66767b857b90/ece38174-math-0003.png\" alt=\"urn:x-wiley:20457758:media:ece38174:ece38174-math-0003\" data-mce-src=\"https://onlinelibrary.wiley.com/cms/asset/2b3fddec-5b00-412a-86d8-66767b857b90/ece38174-math-0003.png\"><span>&nbsp;=&nbsp;1.4&nbsp;±&nbsp;0.81). Honey bees were more frequently detected during sampling events with more non-native flowers and higher species richness but showed an uncertain relationship with native flower abundance. Of the 4039&nbsp;honey bee and flower interactions, 85% occurred on non-native flowers, while only 43% of the 738 wild bee observations occurred on non-native flowers. Our study suggests wild bees and honey bees routinely use the same resource patches in the PPR but often visit different flowering plants. The greatest potential for resource overlap between honey bees and wild bees appears to be for non-native flowers in the PPR. Our results are valuable to natural resource managers tasked with supporting habitat for managed and wild pollinators in agroecosystems.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.8174","usgsCitation":"Otto, C., Bailey, L., and Smart, A.H., 2021, Patch utilization and flower visitations by wild bees in a honey bee-dominated, grassland landscape: Ecology and Evolution, v. 11, no. 21, p. 14888-14904, https://doi.org/10.1002/ece3.8174.","productDescription":"17 p.","startPage":"14888","endPage":"14904","ipdsId":"IP-119699","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":450495,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.8174","text":"Publisher Index Page"},{"id":393582,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, North Dakota, South Dakota","otherGeospatial":"Prairie Potholes Region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.39404296875,\n              43.929549935614595\n            ],\n            [\n              -95.11962890625,\n              44.213709909702054\n            ],\n            [\n              -94.63623046875,\n              44.99588261816546\n            ],\n            [\n              -95.86669921875,\n              46.58906908309182\n            ],\n            [\n              -97.93212890625,\n              47.635783590864854\n            ],\n            [\n              -100.61279296875,\n              48.45835188280866\n            ],\n            [\n              -102.19482421875,\n              47.54687159892238\n            ],\n            [\n              -101.1181640625,\n              47.5913464767971\n            ],\n            [\n              -100.65673828125,\n              46.543749602738565\n            ],\n            [\n              -100.37109375,\n              45.398449976304086\n            ],\n            [\n              -98.50341796875,\n              43.8503744993026\n            ],\n            [\n              -97.5146484375,\n              43.30919109985686\n            ],\n            [\n              -96.48193359375,\n              43.628123412124616\n            ],\n            [\n              -96.39404296875,\n              43.83452678223682\n            ],\n            [\n              -96.39404296875,\n              43.929549935614595\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","issue":"21","noUsgsAuthors":false,"publicationDate":"2021-10-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Otto, Clint 0000-0002-7582-3525 cotto@usgs.gov","orcid":"https://orcid.org/0000-0002-7582-3525","contributorId":5426,"corporation":false,"usgs":true,"family":"Otto","given":"Clint","email":"cotto@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":829531,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bailey, Larissa L.","contributorId":229353,"corporation":false,"usgs":false,"family":"Bailey","given":"Larissa L.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":829532,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smart, Autumn H. 0000-0003-0711-3035","orcid":"https://orcid.org/0000-0003-0711-3035","contributorId":228828,"corporation":false,"usgs":true,"family":"Smart","given":"Autumn","email":"","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":829650,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70249430,"text":"70249430 - 2021 - Impact of precipitation and increasing temperatures on drought trends in eastern Africa","interactions":[],"lastModifiedDate":"2023-10-10T11:47:06.220865","indexId":"70249430","displayToPublicDate":"2021-10-10T06:43:20","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17049,"text":"Earth Systems Science Dynamics","active":true,"publicationSubtype":{"id":10}},"title":"Impact of precipitation and increasing temperatures on drought trends in eastern Africa","docAbstract":"<p id=\"d1e236\">In eastern Africa droughts can cause crop failure and lead to food insecurity. With increasing temperatures, there is an a priori assumption that droughts are becoming more severe. However, the link between droughts and climate change is not sufficiently understood. Here we investigate trends in long-term agricultural drought and the influence of increasing temperatures and precipitation deficits.</p><p id=\"d1e239\">Using a combination of models and observational datasets, we studied trends, spanning the period from 1900 (to approximate pre-industrial conditions) to 2018, for six regions in eastern Africa in four drought-related annually averaged variables: soil moisture, precipitation, temperature, and evaporative demand (<span class=\"inline-formula\"><i>E</i><sub>0</sub></span>). In standardized soil moisture data, we found no discernible trends. The strongest influence on soil moisture variability was from precipitation, especially in the drier or water-limited study regions; temperature and<span>&nbsp;</span><span class=\"inline-formula\"><i>E</i><sub>0</sub></span><span>&nbsp;</span>did not demonstrate strong relations to soil moisture. However, the error margins on precipitation trend estimates are large and no clear trend is evident, whereas significant positive trends were observed in local temperatures. The trends in<span>&nbsp;</span><span class=\"inline-formula\"><i>E</i><sub>0</sub></span><span>&nbsp;</span>are predominantly positive, but we do not find strong relations between<span>&nbsp;</span><span class=\"inline-formula\"><i>E</i><sub>0</sub></span><span>&nbsp;</span>and soil moisture trends. Nevertheless, the<span>&nbsp;</span><span class=\"inline-formula\"><i>E</i><sub>0</sub></span><span>&nbsp;</span>trend results can still be of interest for irrigation purposes because it is<span>&nbsp;</span><span class=\"inline-formula\"><i>E</i><sub>0</sub></span><span>&nbsp;</span>that determines the maximum evaporation rate.</p><p id=\"d1e309\">We conclude that until now the impact of increasing local temperatures on agricultural drought in eastern Africa is limited and we recommend that any soil moisture analysis be supplemented by an analysis of precipitation deficit.</p>","language":"English","publisher":"European Geosciences Union","doi":"10.5194/esd-12-17-2021","usgsCitation":"Kew, S.F., Philip, S.Y., Hauser, M., Hobbins, M., Wanders, N., Veldkamp, T., von Oldenburgh, G., van der Wiel, K., Veldkamp, T., Kimutai, J., Funk, C., and Otto, F., 2021, Impact of precipitation and increasing temperatures on drought trends in eastern Africa: Earth Systems Science Dynamics, v. 12, no. 1, p. 17-35, https://doi.org/10.5194/esd-12-17-2021.","productDescription":"19 p.","startPage":"17","endPage":"35","ipdsId":"IP-119262","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":450499,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/esd-12-17-2021","text":"Publisher Index Page"},{"id":421805,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Eastern Africa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              29.667968750000483,\n              27.215556209028804\n            ],\n            [\n              29.667968750000483,\n              -11.178401873712374\n            ],\n            [\n              53.04687500000094,\n              -11.178401873712374\n            ],\n            [\n              53.04687500000094,\n              27.215556209028804\n            ],\n            [\n              29.667968750000483,\n              27.215556209028804\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"12","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-01-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Kew, Sarah F.","contributorId":330669,"corporation":false,"usgs":false,"family":"Kew","given":"Sarah","email":"","middleInitial":"F.","affiliations":[{"id":16158,"text":"Royal Netherlands Meteorological Institute","active":true,"usgs":false}],"preferred":false,"id":885591,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Philip, Sjoukje Y.","contributorId":330686,"corporation":false,"usgs":false,"family":"Philip","given":"Sjoukje","email":"","middleInitial":"Y.","affiliations":[{"id":78966,"text":"Institute for Environmental Studies, Vrije Universiteit, Amsterdam, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":885592,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hauser, Mathias","contributorId":330687,"corporation":false,"usgs":false,"family":"Hauser","given":"Mathias","email":"","affiliations":[{"id":32389,"text":"Institute for Atmospheric and Climate Science, ETH Zurich, Zurich, Switzerland","active":true,"usgs":false}],"preferred":false,"id":885593,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hobbins, Michael","contributorId":127605,"corporation":false,"usgs":false,"family":"Hobbins","given":"Michael","email":"","affiliations":[{"id":7075,"text":"National Integrated Drought Information System, Boulder, CO","active":true,"usgs":false}],"preferred":false,"id":885594,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wanders, Niko","contributorId":330688,"corporation":false,"usgs":false,"family":"Wanders","given":"Niko","email":"","affiliations":[{"id":78968,"text":"Department of Physical Geography, Utrecht University, Utrecht, the Netherlands","active":true,"usgs":false}],"preferred":false,"id":885595,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Veldkamp, Ted","contributorId":330689,"corporation":false,"usgs":false,"family":"Veldkamp","given":"Ted","email":"","affiliations":[{"id":78968,"text":"Department of Physical Geography, Utrecht University, Utrecht, the Netherlands","active":true,"usgs":false}],"preferred":false,"id":885596,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"von Oldenburgh, Gert","contributorId":330690,"corporation":false,"usgs":false,"family":"von Oldenburgh","given":"Gert","email":"","affiliations":[{"id":78969,"text":"Royal Netherlands Meteorological Institute (KNMI), De Bilt, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":885597,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"van der Wiel, Karin","contributorId":209883,"corporation":false,"usgs":false,"family":"van der Wiel","given":"Karin","email":"","affiliations":[{"id":16158,"text":"Royal Netherlands Meteorological Institute","active":true,"usgs":false}],"preferred":false,"id":885888,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Veldkamp, Ted I. E.","contributorId":330795,"corporation":false,"usgs":false,"family":"Veldkamp","given":"Ted I. E.","affiliations":[],"preferred":false,"id":885889,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kimutai, Joyce","contributorId":330796,"corporation":false,"usgs":false,"family":"Kimutai","given":"Joyce","email":"","affiliations":[],"preferred":false,"id":885890,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Funk, Chris 0000-0002-9254-6718 cfunk@usgs.gov","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":167070,"corporation":false,"usgs":true,"family":"Funk","given":"Chris","email":"cfunk@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":885598,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Otto, Friederike","contributorId":330671,"corporation":false,"usgs":false,"family":"Otto","given":"Friederike","email":"","affiliations":[{"id":78958,"text":"Environmental Change Institute","active":true,"usgs":false}],"preferred":false,"id":885599,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70224986,"text":"70224986 - 2021 - Acute oral toxicity and tissue residues of saxitoxin in the mallard (Anas platyrhynchos)","interactions":[],"lastModifiedDate":"2023-06-23T13:18:52.258429","indexId":"70224986","displayToPublicDate":"2021-10-09T07:35:32","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1878,"text":"Harmful Algae","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Acute oral toxicity and tissue residues of saxitoxin in the mallard (<i>Anas platyrhynchos</i>)","title":"Acute oral toxicity and tissue residues of saxitoxin in the mallard (Anas platyrhynchos)","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0002\" class=\"abstract author\"><div id=\"abss0002\"><p id=\"spara010\">Since 2014, widespread, annual mortality events involving multiple species of seabirds have occurred in the Gulf of Alaska, Bering Sea, and Chukchi Sea. Among these die-offs, emaciation was a common finding with starvation often identified as the cause of death. However, saxitoxin (STX) was detected in many carcasses, indicating exposure of these seabirds to STX in the marine environment. Few data are available that describe the effects of STX in birds, thus presenting challenges for determining its contributions to specific mortality events. To address these knowledge gaps, we conducted an acute oral toxicity trial in mallards (<i>Anas platyrhynchos</i>), a common laboratory avian model, using an up-and-down method to estimate the median lethal dose (LD<sub>50</sub>) for STX. Using an enzyme-linked immunosorbent assay (ELISA), we tested select tissues from all birds and feces from those individuals that survived initial dosing. Samples with an ELISA result that exceeded approximately 10&nbsp;µg 100&nbsp;g<sup>−1</sup><span>&nbsp;</span>STX and randomly selected ELISA negative samples were further tested by high-performance liquid chromatography (HPLC). Tissues collected from mallards were also examined grossly at necropsy and then later by microscopy to identify lesions attributable to STX. The estimated LD<sub>50</sub><span>&nbsp;</span>was 167&nbsp;µg&nbsp;kg<sup>−1</sup><span>&nbsp;</span>(95% CI&nbsp;=&nbsp;69–275&nbsp;µg&nbsp;kg<sup>−1</sup>). Saxitoxin was detected in fecal samples of all mallards tested for up to 48&nbsp;h after dosing and at the end of the sampling period (7 d) in three birds. In those individuals that died or were euthanized &lt;2&nbsp;h after dosing, STX was readily detected throughout the gastrointestinal tract but only infrequently in heart, kidney, liver, lung, and breast muscle. No gross or microscopic lesions were observed that could be attributable to STX exposure. Given its acute toxicity, limited detectability, and frequent occurrence in the Alaska marine environment, additional research on STX in seabirds is warranted.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.hal.2021.102109","usgsCitation":"Dusek, R.J., Smith, M.M., Van Hemert, C.R., Shearn-Bochsler, V.I., Hall, S., Ridge, C.D., Hardison, R., Kaler, R., Bodenstein, B., Hofmeister, E.K., and Hall, J.S., 2021, Acute oral toxicity and tissue residues of saxitoxin in the mallard (Anas platyrhynchos): Harmful Algae, v. 109, 102109, 7 p.; Data release, https://doi.org/10.1016/j.hal.2021.102109.","productDescription":"102109, 7 p.; Data release","ipdsId":"IP-123309","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":390466,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418317,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9O73PTQ","text":"USGS data release","description":"USGS data release","linkHelpText":"Dataset: Acute oral toxicity and tissue residues of saxitoxin in the mallard (Anas platyrhynchos)"}],"volume":"109","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dusek, Robert J. 0000-0001-6177-7479 rdusek@usgs.gov","orcid":"https://orcid.org/0000-0001-6177-7479","contributorId":174374,"corporation":false,"usgs":true,"family":"Dusek","given":"Robert","email":"rdusek@usgs.gov","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":825064,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Matthew M. 0000-0002-2259-5135 mmsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-2259-5135","contributorId":5115,"corporation":false,"usgs":true,"family":"Smith","given":"Matthew","email":"mmsmith@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":825065,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Hemert, Caroline R. 0000-0002-6858-7165 cvanhemert@usgs.gov","orcid":"https://orcid.org/0000-0002-6858-7165","contributorId":3592,"corporation":false,"usgs":true,"family":"Van Hemert","given":"Caroline","email":"cvanhemert@usgs.gov","middleInitial":"R.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":825066,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shearn-Bochsler, Valerie I. 0000-0002-5590-6518 vbochsler@usgs.gov","orcid":"https://orcid.org/0000-0002-5590-6518","contributorId":3234,"corporation":false,"usgs":true,"family":"Shearn-Bochsler","given":"Valerie","email":"vbochsler@usgs.gov","middleInitial":"I.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":825067,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hall, Sherwood","contributorId":267371,"corporation":false,"usgs":false,"family":"Hall","given":"Sherwood","email":"","affiliations":[{"id":55479,"text":"US Food and Drug Administration, 5001 Campus Drive, College Park, Maryland, 20740, United States (sherwood.hall@fda.hhs.gov)","active":true,"usgs":false}],"preferred":false,"id":825068,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ridge, Clark D.","contributorId":267372,"corporation":false,"usgs":false,"family":"Ridge","given":"Clark","email":"","middleInitial":"D.","affiliations":[{"id":55480,"text":"US Food and Drug Administration, 5001 Campus Drive, College Park, Maryland, 20740, United States (clark.ridge@fda.hhs.gov)","active":true,"usgs":false}],"preferred":false,"id":825069,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hardison, Ransome","contributorId":267373,"corporation":false,"usgs":false,"family":"Hardison","given":"Ransome","email":"","affiliations":[{"id":55481,"text":"National Oceanic and Atmospheric Administration, National Centers for Coastal Ocean Science, 101 Pivers Island Road, Beaufort, North Carolina, 28516, United States (rance.hardison@noaa.gov)","active":true,"usgs":false}],"preferred":false,"id":825070,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kaler, Robert","contributorId":199324,"corporation":false,"usgs":false,"family":"Kaler","given":"Robert","email":"","affiliations":[],"preferred":false,"id":825071,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bodenstein, Barbara L. 0000-0001-7946-0103 bbodenstein@usgs.gov","orcid":"https://orcid.org/0000-0001-7946-0103","contributorId":189820,"corporation":false,"usgs":true,"family":"Bodenstein","given":"Barbara","email":"bbodenstein@usgs.gov","middleInitial":"L.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":825072,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hofmeister, Erik K. 0000-0002-6360-3912 ehofmeister@usgs.gov","orcid":"https://orcid.org/0000-0002-6360-3912","contributorId":3230,"corporation":false,"usgs":true,"family":"Hofmeister","given":"Erik","email":"ehofmeister@usgs.gov","middleInitial":"K.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":825073,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hall, Jeffrey S. 0000-0001-5599-2826 jshall@usgs.gov","orcid":"https://orcid.org/0000-0001-5599-2826","contributorId":2254,"corporation":false,"usgs":true,"family":"Hall","given":"Jeffrey","email":"jshall@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":825074,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70224990,"text":"70224990 - 2021 - Lessons learned from development of natural capital accounts in the United States and European Union","interactions":[],"lastModifiedDate":"2021-10-13T12:06:11.38105","indexId":"70224990","displayToPublicDate":"2021-10-09T07:03:32","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1477,"text":"Ecosystem Services","active":true,"publicationSubtype":{"id":10}},"title":"Lessons learned from development of natural capital accounts in the United States and European Union","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab010\" class=\"abstract author\" lang=\"en\"><div id=\"as010\"><p id=\"sp0010\">The United States and European Union (EU) face common challenges in managing natural capital and balancing conservation and resource use with consumption of other forms of capital. This paper synthesizes findings from 11 individual application papers from a special issue of<span>&nbsp;</span><i>Ecosystem Services</i><span>&nbsp;on natural capital accounting (NCA) and their application to the public and&nbsp;<a class=\"topic-link\" title=\"Learn more about private sectors from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/economics-econometrics-and-finance/private-sector\" data-mce-href=\"https://www.sciencedirect.com/topics/economics-econometrics-and-finance/private-sector\">private sectors</a>&nbsp;in the EU and&nbsp;<a class=\"topic-link\" title=\"Learn more about U.S. from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/united-states-of-america\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/united-states-of-america\">U.S.</a>&nbsp;NCA is inherently a data-integration centered exercise, aiming to draw new insights by realigning environmental and economic data into a consistent framework. Drawing primarily on papers from the special issue and other key NCA literature, we identify lessons learned and gaps remaining for NCA’s development and application to decision making. In doing so, we identify eight key similarities and three major differences in NCA development, status, and application between the U.S. and EU. NCA can be highly policy relevant: special issue papers address critical issues including agriculture, water, conservation/land-use planning, climate, and corporate decision making. In both the U.S. and EU, further application is needed to drive demand for the accounts’ production. Based on these experiences, the U.S. and EU can be important leaders in cross-sector, international collaboration toward next-generation environmental economic accounts that advance global NCA practice.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoser.2021.101359","usgsCitation":"Bagstad, K.J., Carter Ingram, J., Shapiro, C.D., La Notte, A., Maes, J., Vallecillo, S., Casey, C.F., Glynn, P.D., Heris, M., Johnson, J., Lauer, C., Matuszak, J., Oleson, K.L., Posner, S.M., Rhodes, C., and Voigt, B., 2021, Lessons learned from development of natural capital accounts in the United States and European Union: Ecosystem Services, v. 52, 101359, 15 p., https://doi.org/10.1016/j.ecoser.2021.101359.","productDescription":"101359, 15 p.","ipdsId":"IP-124742","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":450503,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoser.2021.101359","text":"Publisher Index Page"},{"id":390462,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"52","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":825109,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carter Ingram, Jane 0000-0002-9710-4935","orcid":"https://orcid.org/0000-0002-9710-4935","contributorId":266189,"corporation":false,"usgs":false,"family":"Carter Ingram","given":"Jane","email":"","affiliations":[{"id":54943,"text":"Pollination Group","active":true,"usgs":false}],"preferred":false,"id":825110,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shapiro, Carl D. 0000-0002-9868-7896 cshapiro@usgs.gov","orcid":"https://orcid.org/0000-0002-9868-7896","contributorId":211863,"corporation":false,"usgs":true,"family":"Shapiro","given":"Carl","email":"cshapiro@usgs.gov","middleInitial":"D.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":825111,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"La Notte, Alessandra 0000-0001-6951-709X","orcid":"https://orcid.org/0000-0001-6951-709X","contributorId":266187,"corporation":false,"usgs":false,"family":"La Notte","given":"Alessandra","email":"","affiliations":[{"id":54942,"text":"Joint Research Centre","active":true,"usgs":false}],"preferred":false,"id":825112,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Maes, Joachim","contributorId":190801,"corporation":false,"usgs":false,"family":"Maes","given":"Joachim","email":"","affiliations":[],"preferred":false,"id":825113,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vallecillo, Sara 0000-0002-5105-6253","orcid":"https://orcid.org/0000-0002-5105-6253","contributorId":266188,"corporation":false,"usgs":false,"family":"Vallecillo","given":"Sara","email":"","affiliations":[{"id":54942,"text":"Joint Research Centre","active":true,"usgs":false}],"preferred":false,"id":825114,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Casey, Clyde F. 0000-0001-6960-5129","orcid":"https://orcid.org/0000-0001-6960-5129","contributorId":223854,"corporation":false,"usgs":true,"family":"Casey","given":"Clyde","email":"","middleInitial":"F.","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":825115,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Glynn, Pierre D. 0000-0001-8804-7003 pglynn@usgs.gov","orcid":"https://orcid.org/0000-0001-8804-7003","contributorId":2141,"corporation":false,"usgs":true,"family":"Glynn","given":"Pierre","email":"pglynn@usgs.gov","middleInitial":"D.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":825116,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Heris, Mehdi 0000-0002-4418-5030","orcid":"https://orcid.org/0000-0002-4418-5030","contributorId":248592,"corporation":false,"usgs":false,"family":"Heris","given":"Mehdi","affiliations":[{"id":12652,"text":"University of Colorado-Denver","active":true,"usgs":false}],"preferred":false,"id":825117,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Johnson, Justin A.","contributorId":211868,"corporation":false,"usgs":false,"family":"Johnson","given":"Justin A.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":825118,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lauer, Chris","contributorId":267386,"corporation":false,"usgs":false,"family":"Lauer","given":"Chris","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":825119,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Matuszak, John","contributorId":211869,"corporation":false,"usgs":false,"family":"Matuszak","given":"John","email":"","affiliations":[{"id":38336,"text":"U.S. Department of State","active":true,"usgs":false}],"preferred":false,"id":825120,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Oleson, Kirsten L. L. 0000-0002-7992-5051","orcid":"https://orcid.org/0000-0002-7992-5051","contributorId":211871,"corporation":false,"usgs":false,"family":"Oleson","given":"Kirsten","email":"","middleInitial":"L. L.","affiliations":[{"id":36402,"text":"University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":825121,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Posner, Stephen M.","contributorId":211872,"corporation":false,"usgs":false,"family":"Posner","given":"Stephen","email":"","middleInitial":"M.","affiliations":[{"id":38335,"text":"COMPASS","active":true,"usgs":false}],"preferred":false,"id":825122,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Rhodes, Charles 0000-0002-9040-3684","orcid":"https://orcid.org/0000-0002-9040-3684","contributorId":245881,"corporation":false,"usgs":true,"family":"Rhodes","given":"Charles","email":"","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":825123,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Voigt, Brian","contributorId":208483,"corporation":false,"usgs":false,"family":"Voigt","given":"Brian","email":"","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":825124,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70224940,"text":"ofr20211079 - 2021 - Near-field receiving-water monitoring of trace metals and a benthic community near the Palo Alto Regional Water Quality Control Plant in south San Francisco Bay, California—2019","interactions":[],"lastModifiedDate":"2023-04-24T20:43:28.80406","indexId":"ofr20211079","displayToPublicDate":"2021-10-08T11:13:49","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-1079","displayTitle":"Near-Field Receiving-Water Monitoring of Trace Metals and a Benthic Community Near the Palo Alto Regional Water Quality Control Plant in South San Francisco Bay, California—2019","title":"Near-field receiving-water monitoring of trace metals and a benthic community near the Palo Alto Regional Water Quality Control Plant in south San Francisco Bay, California—2019","docAbstract":"<p>Trace-metal concentrations in sediment and in the clam <i>Limecola petalum </i>(formerly reported as <i>Macoma balthica </i>and <i>M. petalum</i>), clam reproductive activity, and benthic macroinvertebrate community structure were investigated in a mudflat 1 kilometer south of the discharge of the Palo Alto Regional Water Quality Control Plant (PARWQCP) in south San Francisco Bay, Calif. This report includes the data collected by the U.S. Geological Survey (USGS) for the period January 2019 to December 2019. These data append to long-term datasets extending back to 1974. A major focus of the report is an integrated description of the 2019 data within the context of the longer, multidecadal dataset. This dataset supports the City of Palo Alto’s Near-Field Receiving-Water Monitoring Program, initiated in 1994.</p><p>Significant reductions in silver and copper contamination occurred at the site in the 1980s following the implementation by PARWQCP of advanced wastewater treatment and source control measures. Since the 1990s, concentrations of these elements in surface sediments have continued to decrease, although more slowly. Silver appears to have stabilized at concentrations about twice the regional background concentration. Presently, sediment copper concentrations appear to be near the regional background level. Over the same period (1994–2019), sedimentary iron and zinc also exhibited modest declines. Sedimentary aluminum, chromium, mercury, nickel, and selenium have not exhibited any trend. Since 1994, concentrations of silver and copper in <i>L. petalum </i>have varied seasonally, apparently in response to a combination of site-specific metal exposures and cyclic growth and reproduction, as reported previously. Seasonal patterns for other elements, including chromium, mercury, nickel, selenium, and zinc, were generally similar in timing and magnitude as those for silver and copper. The annual growth and reproductive cycle explained a small amount of the variance in annual silver and zinc tissue metal concentrations. However, interannual trends are not apparent for any element.</p><p>Biological effects of elevated silver and copper contamination at the Palo Alto site have been interpreted from data collected during and after the recession of these contaminants. Concentrations of both elements in the soft tissues of <i>L. petalum </i>declined with sedimentary copper and silver. This pattern was associated with changes in the reproductive activity of <i>L. petalum</i>, as well as the structure of the benthic invertebrate community. Reproductive activity of <i>L. petalum </i>increased as metal concentrations in <i>L. petalum </i>declined and presently is stable with almost all animals initiating reproduction in the fall and spawning the following spring. Analyses of the benthic community structure indicate that the infaunal invertebrate community has shifted from one dominated by several opportunistic species when silver and copper exposures were highest to one in which the species abundance is more evenly distributed, a pattern that indicates a more stable community that is subjected to fewer stressors. Importantly, this long-term change is unrelated to other metals and other measured environmental factors, including salinity and sediment composition. In addition, two of the opportunistic species (<i>Ampelisca abdita </i>and <i>Streblospio benedicti</i>) that brood their young and live on the surface of the sediment in tubes have shown a continual decline in dominance coincident with the decline in metals. Both species had short-lived rebounds in abundance in 2008, 2009, and 2010 and showed signs of increasing abundance in 2019. <i>Heteromastus filiformis </i>(a subsurface polychaete worm that lives in the sediment, consumes sediment and organic particles residing in the sediment, and reproduces by laying its eggs on or in the sediment) showed a concurrent increase in dominance and, in the last several years before 2008, showed a stable population. <i>H. filiformis </i>abundance increased slightly in 2011–2012 and returned to pre-2011 numbers in 2019.</p><p>An unidentified disturbance occurred on the mudflat in early 2008 that resulted in the loss of the benthic animals, except for deep-dwelling animals like <i>L. petalum</i>. However, within two months of this event, animals returned to the mudflat. The resilience of the community suggested that the disturbance was not caused by a persistent toxin or anoxia. The reproductive mode of most species that were present in 2019 was indicative of species that were available either as pelagic larvae or as mobile adults. Although oviparous species were lower in number in this group, the authors hypothesize that these species will return slowly as more species move back into the area. The use of functional ecology was highlighted in the 2019 benthic community data, which showed that the animals that have now returned to the mudflat are those that can respond successfully to a physical, nontoxic disturbance. Today, community data show a mix of species that consume the sediment, or filter feed, those that have pelagic larvae that must survive landing on the sediment, and those that brood their young. USGS scientists view the 2008 disturbance event as a response by the infaunal community to an episodic natural stressor (possibly sediment accretion or a pulse of freshwater), in contrast to the long-term recovery from metal contamination. We will compare this recovery to the long-term recovery observed after the 1970s when the decline in sediment pollutants was the dominating factor.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211079","collaboration":"Prepared in cooperation with the City of Palo Alto, California","usgsCitation":"Cain, D.J., Croteau, M.-N., Thompson, J.K., Parchaso, F., Stewart, R., Shrader, K.H., Zierdt Smith, E.L., and Luoma, S.N., 2021, Near-field receiving-water monitoring of trace metals and a benthic community near the Palo Alto Regional Water Quality Control Plant in south San Francisco Bay, California—2019: U.S. Geological Survey Open-File Report 2021–1079, 59 p., https://doi.org/10.3133/ofr20211079.","productDescription":"Report: viii, 59 p.; Data Release","numberOfPages":"59","onlineOnly":"Y","ipdsId":"IP-119549","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":416178,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20231017","text":"Open-File Report 2023-1017","description":"Cain, D.J., Croteau, M.-N., Thompson, J.K., Parchaso, F., Stewart, R., Zierdt Smith, E.L., Shrader, K.H., Kieu, L.H., and Luoma, S.N., 2023, Near-field receiving-water monitoring of trace metals and a benthic community near the Palo Alto Regional Water Quality Control Plant in south San Francisco Bay, California—2020: U.S. Geological Survey Open-File Report 2023–1017, 51 p., https://doi.org/10.3133/ofr20231017.","linkHelpText":"- Near-Field Receiving-Water Monitoring of Trace Metals and a Benthic Community Near the Palo Alto Regional Water Quality Control Plant in South San Francisco Bay, California—2020"},{"id":390272,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20171135","text":"Open-File Report 2017-1135","linkHelpText":"- Near-Field Receiving-Water Monitoring of Trace Metals and a Benthic Community Near the Palo Alto Regional Water Quality Control Plant in South San Francisco Bay, California; 2016"},{"id":390273,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20161118","text":"Open-File Report 2016-1118","linkHelpText":"- Near-Field Receiving-Water Monitoring of Trace Metals and a Benthic Community Near the Palo Alto Regional Water Quality Control Plant in South San Francisco Bay, California; 2015"},{"id":390267,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9IBQ23S","linkHelpText":"Data for monitoring trace metal and benthic community near the Palo Alto Regional Water Quality Control Plant in south San Francisco Bay, California"},{"id":390268,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1079/covrthb.jpg"},{"id":390269,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1079/ofr20211079.pdf","text":"Report","size":"6 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":390270,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20191084","text":"Open-File Report 2019-1084","linkHelpText":"- Near-Field Receiving-Water Monitoring of Trace Metals and a Benthic Community Near the Palo Alto Regional Water Quality Control Plant in South San Francisco Bay, California—2018"},{"id":390271,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20181107","text":"Open-File Report 2018-1107","linkHelpText":"- Near-Field Receiving-Water Monitoring of Trace Metals and a Benthic Community Near the Palo Alto Regional Water Quality Control Plant in South San Francisco Bay, California—2017"}],"country":"United States","state":"California","otherGeospatial":"South San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.16728210449219,\n              37.385980767871416\n            ],\n            [\n              -121.90361022949219,\n              37.385980767871416\n            ],\n            [\n              -121.90361022949219,\n              37.496107562317064\n            ],\n            [\n              -122.16728210449219,\n              37.496107562317064\n            ],\n            [\n              -122.16728210449219,\n              37.385980767871416\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a data-mce-href=\"https://www.usgs.gov/mission-areas/water-resources/about/water-resources-mission-area-key-officials-and-organizational/\" href=\"https://www.usgs.gov/mission-areas/water-resources/about/water-resources-mission-area-key-officials-and-organizational/\" target=\"_blank\" rel=\"noopener\">Director</a>,<br><a href=\"https://www.usgs.gov/mission-areas/water-resources\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/mission-areas/water-resources\">Water Resources, Earth System Processes Division</a><br><a data-mce-href=\"https://usgs.gov\" href=\"https://usgs.gov\" target=\"_blank\" rel=\"noopener\">U.S. Geological Survey</a><br>411 National Center <br>12201 Sunrise Valley Drive <br>Reston, VA 20192<br></p>","tableOfContents":"<div id=\":2nk\" class=\"Ar Au Ao\"><div id=\":2no\" class=\"Am Al editable LW-avf tS-tW tS-tY\" role=\"textbox\" contenteditable=\"true\" spellcheck=\"false\" aria-label=\"Message Body\" aria-multiline=\"true\" data-mce-tabindex=\"1\"><ul><li>Acknowledgments&nbsp;&nbsp;</li><li>Executive Summary of Past Findings&nbsp;&nbsp;</li><li>Abstract&nbsp;&nbsp;</li><li>Introduction&nbsp;&nbsp;</li><li>Methods&nbsp;&nbsp;</li><li>Results&nbsp;&nbsp;</li><li>Summary&nbsp;&nbsp;</li><li>References Cited&nbsp;&nbsp;</li><li>Appendix 1. Certified Concentrations and Recovery Percentages of Inorganic Elements in National Institute of Science and Technology Standard Reference Materials 2709a and 2711a, Prepared in 2019&nbsp;&nbsp;</li><li>Appendix 2. Certified Concentrations and Recovery Percentages of Inorganic Elements in National Research Council Canada Certified Reference Material TORT-3 and National Institute of Science and Technology Standard Reference Material 1566b, Prepared in 2019&nbsp;&nbsp;</li><li>Appendix 3. Mercury and Selenium Concentrations Determined in Sample Splits of Surface Sediments and Clam <em>Limecola petalum</em> Collected at Palo Alto, Calif., Site in 2019&nbsp;&nbsp;</li><li>Appendix 4. Recovery Percentages (±Standard Deviation) of Mercury and Selenium in Standard Reference Materials&nbsp;&nbsp;</li><li>Appendix 5. Method Detection Limits and Method Reporting Levels for Inductively Coupled Plasma Optical Emission Spectrophotometry Methods&nbsp;&nbsp;</li><li>Appendix 6. Statistical Summary of Silver and Copper Concentrations in Sediment and Clam <em>Limecola petalum</em> Collected at Palo Alto, Calif., Site in 2019 and in 1977–2019&nbsp;&nbsp;</li><li>Appendix 7. Reproduction Data for Clam <em>Limecola petalum</em> Collected at Palo Alto, Calif., Site in 2015–2019&nbsp;&nbsp;</li><li>Appendix 8. Complete List of Benthic Species Found at Palo Alto, Calif., Site in 2019&nbsp;&nbsp;</li><li>Appendix 9. Benthic Species Name Changes as of 2019</li></ul></div></div>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2021-10-08","noUsgsAuthors":false,"publicationDate":"2021-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Cain, Daniel J. 0000-0002-3443-0493 djcain@usgs.gov","orcid":"https://orcid.org/0000-0002-3443-0493","contributorId":1784,"corporation":false,"usgs":true,"family":"Cain","given":"Daniel","email":"djcain@usgs.gov","middleInitial":"J.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":824746,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Croteau, Marie Noele 0000-0003-0346-3580 mcroteau@usgs.gov","orcid":"https://orcid.org/0000-0003-0346-3580","contributorId":895,"corporation":false,"usgs":true,"family":"Croteau","given":"Marie","email":"mcroteau@usgs.gov","middleInitial":"Noele","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":824747,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Janet K. 0000-0002-1528-8452 jthompso@usgs.gov","orcid":"https://orcid.org/0000-0002-1528-8452","contributorId":1009,"corporation":false,"usgs":true,"family":"Thompson","given":"Janet","email":"jthompso@usgs.gov","middleInitial":"K.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":824748,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parchaso, Francis 0000-0002-9471-7787 parchaso@usgs.gov","orcid":"https://orcid.org/0000-0002-9471-7787","contributorId":150620,"corporation":false,"usgs":true,"family":"Parchaso","given":"Francis","email":"parchaso@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":824749,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stewart, A. Robin 0000-0003-2918-546X arstewar@usgs.gov","orcid":"https://orcid.org/0000-0003-2918-546X","contributorId":1482,"corporation":false,"usgs":true,"family":"Stewart","given":"A.","email":"arstewar@usgs.gov","middleInitial":"Robin","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":40553,"text":"WMA - Office of the Chief Operating Officer","active":true,"usgs":true}],"preferred":true,"id":824750,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shrader, Kelly H. 0000-0001-6550-7425 kshrader@usgs.gov","orcid":"https://orcid.org/0000-0001-6550-7425","contributorId":220319,"corporation":false,"usgs":true,"family":"Shrader","given":"Kelly","email":"kshrader@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":824751,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zierdt Smith, Emily L. 0000-0003-0787-1856 ezierdtsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-0787-1856","contributorId":220320,"corporation":false,"usgs":true,"family":"Zierdt Smith","given":"Emily","email":"ezierdtsmith@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":824752,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Luoma, Samuel N. 0000-0001-5443-5091 snluoma@usgs.gov","orcid":"https://orcid.org/0000-0001-5443-5091","contributorId":2287,"corporation":false,"usgs":true,"family":"Luoma","given":"Samuel","email":"snluoma@usgs.gov","middleInitial":"N.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":824753,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70224963,"text":"70224963 - 2021 - The climate envelope of Alaska’s northern treelines: Implications for controlling factors and future treeline advance","interactions":[],"lastModifiedDate":"2021-11-16T15:50:54.193537","indexId":"70224963","displayToPublicDate":"2021-10-08T10:43:13","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"The climate envelope of Alaska’s northern treelines: Implications for controlling factors and future treeline advance","docAbstract":"<p><span>Understanding the key mechanisms that control northern treelines is important to accurately predict biome shifts and terrestrial feedbacks to climate. At a global scale, it has long been observed that elevational and latitudinal treelines occur at similar mean growing season air temperature (GSAT) isotherms, inspiring the growth limitation hypothesis (GLH) that cold GSAT limits aboveground growth of treeline trees, with mean treeline GSAT ~6–7°C. Treelines with mean GSAT warmer than 6–7°C may indicate other limiting factors. Many treelines globally are not advancing despite warming, and other climate variables are rarely considered at broad scales. Our goals were to test whether current boreal treelines in northern Alaska correspond with the GLH isotherm, determine which environmental factors are most predictive of treeline presence, and identify areas beyond the current treeline where advance is most likely. We digitized ~12 400 km of treelines (&gt;26 K points) and computed seasonal climate variables across northern Alaska. We then built a generalized additive model predicting treeline presence to identify key factors determining treeline. Two metrics of mean GSAT at Alaska's northern treelines were consistently warmer than the 6–7°C isotherm (means of 8.5°C and 9.3°C), indicating that direct physiological limitation from low GSAT is unlikely to explain the position of treelines in northern Alaska. Our final model included cumulative growing degree-days, near-surface (≤1 m) permafrost probability and growing season total precipitation, which together may represent the importance of soil temperature. Our results indicate that mean GSAT may not be the primary driver of treeline in northern Alaska or that its effect is mediated by other more proximate, and possibly non-climatic, controls. Our model predicts treeline potential in several areas beyond current treelines, pointing to possible routes of treeline advance if unconstrained by non-climatic factors.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ecog.05597","usgsCitation":"Maher, C.T., Dial, R.J., Pastick, N.J., Hewitt, R.E., Jorgenson, M., and Sullivan, P., 2021, The climate envelope of Alaska’s northern treelines: Implications for controlling factors and future treeline advance: Ecography, v. 44, no. 11, p. 1710-1722, https://doi.org/10.1111/ecog.05597.","productDescription":"13 p.","startPage":"1710","endPage":"1722","ipdsId":"IP-129005","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":450505,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ecog.05597","text":"Publisher Index Page"},{"id":390390,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -163.65234374999997,\n              66\n            ],\n            [\n              -141.15234374999997,\n              66\n            ],\n            [\n              -141.064453125,\n              69.71810669906763\n            ],\n            [\n              -148.88671874999997,\n              70.4367988185464\n            ],\n            [\n              -156.4453125,\n              71.38514208411495\n            ],\n            [\n              -163.037109375,\n              70.22974449563027\n            ],\n            [\n              -166.904296875,\n              68.78414378041504\n            ],\n            [\n              -165.9375,\n              67.64267630796034\n            ],\n            [\n              -163.65234374999997,\n              66\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"44","issue":"11","noUsgsAuthors":false,"publicationDate":"2021-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Maher, Colin T.","contributorId":267273,"corporation":false,"usgs":false,"family":"Maher","given":"Colin","email":"","middleInitial":"T.","affiliations":[{"id":55458,"text":"University of Alaska, Anchorage","active":true,"usgs":false}],"preferred":false,"id":824887,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dial, Roman J.","contributorId":267274,"corporation":false,"usgs":false,"family":"Dial","given":"Roman","email":"","middleInitial":"J.","affiliations":[{"id":12915,"text":"Alaska Pacific University","active":true,"usgs":false}],"preferred":false,"id":824888,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pastick, Neal J. 0000-0002-4321-6739","orcid":"https://orcid.org/0000-0002-4321-6739","contributorId":267275,"corporation":false,"usgs":false,"family":"Pastick","given":"Neal","middleInitial":"J.","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":false,"id":824889,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hewitt, Rebecca E.","contributorId":267276,"corporation":false,"usgs":false,"family":"Hewitt","given":"Rebecca","email":"","middleInitial":"E.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":824890,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jorgenson, M. Torre","contributorId":267277,"corporation":false,"usgs":false,"family":"Jorgenson","given":"M. Torre","affiliations":[{"id":13506,"text":"Alaska Ecoscience","active":true,"usgs":false}],"preferred":false,"id":824891,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sullivan, Patrick F.","contributorId":267278,"corporation":false,"usgs":false,"family":"Sullivan","given":"Patrick F.","affiliations":[{"id":55458,"text":"University of Alaska, Anchorage","active":true,"usgs":false}],"preferred":false,"id":824892,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70225667,"text":"70225667 - 2021 - Hydrous pyrolysis of New Albany Shale: A study examining maturation changes and porosity development","interactions":[],"lastModifiedDate":"2021-11-02T13:40:18.036286","indexId":"70225667","displayToPublicDate":"2021-10-08T08:30:36","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"Hydrous pyrolysis of New Albany Shale: A study examining maturation changes and porosity development","docAbstract":"<p><span>The characterization of nanoscale organic structures has improved our understanding of porosity development within source-rock reservoirs, but research linking organic porosity evolution to&nbsp;thermal maturity&nbsp;has generated conflicting results. To better understand this connection, an immature (0.25% solid&nbsp;bitumen&nbsp;reflectance; BR</span><sub>o</sub><span>) sample of the New Albany Shale was used in four isothermal hydrous&nbsp;pyrolysis&nbsp;(HP) experiment sequences at 300°, 320°, 340°, and 370°C, with residues collected periodically for a maximum of 103 days. The HP residues, along with the original immature sample and two naturally matured (1.49 and 1.56% BR</span><sub>o</sub><span>) New Albany Shale samples were analyzed for organic&nbsp;petrology,&nbsp;total organic carbon&nbsp;(TOC) content, and organic porosity evaluation using correlative light and&nbsp;electron microscopy&nbsp;(CLEM). All of the HP series increased in thermal maturity with increasing duration of pyrolysis, though reflectance for each series plateaued within 25 days of maturation. Initially, TOC in the HP residues decreases (from 14.24&nbsp;wt. %) with increasing thermal maturity until ∼1.0% BR</span><sub>o</sub><span>&nbsp;where TOC remains at ∼9–10&nbsp;wt. % for all remaining residues. Qualitative CLEM observations within the 50–100 day 300° and 340°C HP sequences (0.95–1.70% BR</span><sub>o</sub><span>), and the naturally matured samples, develop organic porosity in smaller (&lt;5&nbsp;μm in diameter), void-filling solid bitumen that occurs in spaces between clays and other fine-grained minerals. The 370°C HP residues developed significant organic porosity, relative to the other HP temperature series in all solid bitumen accumulations regardless of size. Overall, the study indicates that temperature and duration of artificial maturation play an important role in the abundance of pores in the HP residues. This work expands on our understanding of the conditions needed for the generation and development of organic porosity in the New Albany Shale and potentially in other marine source-rock&nbsp;petroleum systems.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2021.105368","usgsCitation":"Valentine, B.J., Hackley, P.C., and Hatcherian, J.J., 2021, Hydrous pyrolysis of New Albany Shale: A study examining maturation changes and porosity development: Marine and Petroleum Geology, v. 134, 105368, 14 p., https://doi.org/10.1016/j.marpetgeo.2021.105368.","productDescription":"105368, 14 p.","ipdsId":"IP-122420","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":450507,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.marpetgeo.2021.105368","text":"Publisher Index Page"},{"id":391268,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Indiana","otherGeospatial":"Clagg Creek Member, Hicks Dome","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -88.38638305664062,\n              37.50264464701539\n            ],\n            [\n              -88.33076477050781,\n              37.50264464701539\n            ],\n            [\n              -88.33076477050781,\n              37.53967731569061\n            ],\n            [\n              -88.38638305664062,\n              37.53967731569061\n            ],\n            [\n              -88.38638305664062,\n              37.50264464701539\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -85.77198028564453,\n              38.51808630316305\n            ],\n            [\n              -85.65216064453125,\n              38.51808630316305\n            ],\n            [\n              -85.65216064453125,\n              38.59674884151356\n            ],\n            [\n              -85.77198028564453,\n              38.59674884151356\n            ],\n            [\n              -85.77198028564453,\n              38.51808630316305\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"134","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Valentine, Brett J. 0000-0002-8678-2431 bvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-8678-2431","contributorId":3846,"corporation":false,"usgs":true,"family":"Valentine","given":"Brett","email":"bvalentine@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":826131,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":826132,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hatcherian, Javin J. 0000-0001-9151-6798 jhatcherian@usgs.gov","orcid":"https://orcid.org/0000-0001-9151-6798","contributorId":195770,"corporation":false,"usgs":true,"family":"Hatcherian","given":"Javin","email":"jhatcherian@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":826133,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70230315,"text":"70230315 - 2021 - Landscape-scale drivers of endangered Cape Sable Seaside Sparrow (Ammospiza maritima mirabilis) presence using an ensemble modeling approach","interactions":[],"lastModifiedDate":"2023-06-09T13:58:22.728184","indexId":"70230315","displayToPublicDate":"2021-10-08T07:28:31","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Landscape-scale drivers of endangered Cape Sable Seaside Sparrow (Ammospiza maritima mirabilis) presence using an ensemble modeling approach","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0002\" class=\"abstract author\"><div id=\"abss0002\"><p id=\"spara007\">The Florida Everglades is a vast and iconic wetland ecosystem in the southern United States that has undergone dramatic changes from habitat degradation, development encroachment, and water impoundment. Starting in the past few decades, large restoration projects have been undertaken to restore the landscape, including improving conditions for threatened and imperiled taxa. One focus of restoration has been the marl prairie ecosystem, where the federally endangered Cape Sable Seaside Sparrow (<i>Ammospiza maritima mirabilis</i>; CSSS) resides. The CSSS is endemic to the Everglades where populations have been steadily declining, signaling the importance of decision support tools for natural resource managers for evaluating water management and restoration scenarios. Here we developed an ensemble logistic regression, combining a frequentist and Bayesian approach, to model CSSS presence and measure how environmental factors such as hydrometrics, fire occurrence, and vegetation structure impact CSSS habitat suitability. This is the first analysis to quantitatively assess the interdependent relationships between a broad range of environmental factors and CSSS presence across the landscape. Our results show that the probability of CSSS presence was highest in areas with dry conditions, hydroperiods between 80 and 120 days, percentages of canopy cover and woody vegetation less than 10%, and more than six years post-fire where 75% or more of the area was burned. Because the frequentist and Bayesian models had nearly identical spatial outputs with the Bayesian model having slightly higher validation metrics, we used the Bayesian approach as our final model (EverSparrow). The results from our analysis can provide a valuable decision support tool as natural resource managers work to restore the Everglades landscape.</p></div></div></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2021.109774","usgsCitation":"Haider, S., Benscoter, A., Pearlstine, L.G., D’Acunto, L., and Romanach, S., 2021, Landscape-scale drivers of endangered Cape Sable Seaside Sparrow (Ammospiza maritima mirabilis) presence using an ensemble modeling approach: Ecological Modelling, v. 461, 109774, 11 p.; Data Release, https://doi.org/10.1016/j.ecolmodel.2021.109774.","productDescription":"109774, 11 p.; Data Release","ipdsId":"IP-128654","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":450508,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2021.109774","text":"Publisher Index Page"},{"id":398306,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417869,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9VNZH7I"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.968994140625,\n              24.966140159912975\n            ],\n            [\n              -80.15625,\n              24.966140159912975\n            ],\n            [\n              -80.15625,\n              26.509904531413927\n            ],\n            [\n              -81.968994140625,\n              26.509904531413927\n            ],\n            [\n              -81.968994140625,\n              24.966140159912975\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"461","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Haider, Saira M. 0000-0001-9306-3454","orcid":"https://orcid.org/0000-0001-9306-3454","contributorId":206253,"corporation":false,"usgs":true,"family":"Haider","given":"Saira","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":839966,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benscoter, Allison 0000-0003-4205-3808","orcid":"https://orcid.org/0000-0003-4205-3808","contributorId":216194,"corporation":false,"usgs":true,"family":"Benscoter","given":"Allison","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":839967,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pearlstine, Leonard G.","contributorId":34751,"corporation":false,"usgs":false,"family":"Pearlstine","given":"Leonard","email":"","middleInitial":"G.","affiliations":[{"id":12462,"text":"U.S. Department of the Interior, National Park Service","active":true,"usgs":false}],"preferred":false,"id":839968,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"D’Acunto, Laura 0000-0001-6227-0143","orcid":"https://orcid.org/0000-0001-6227-0143","contributorId":215343,"corporation":false,"usgs":true,"family":"D’Acunto","given":"Laura","email":"","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":839969,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Romanach, Stephanie 0000-0003-0271-7825","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":216659,"corporation":false,"usgs":true,"family":"Romanach","given":"Stephanie","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":839970,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70231892,"text":"70231892 - 2021 - Tracers and timescales: Tools for distilling and simplifying complex fluid mechanical problems","interactions":[],"lastModifiedDate":"2022-06-01T12:25:52.652851","indexId":"70231892","displayToPublicDate":"2021-10-08T07:24:29","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Tracers and timescales: Tools for distilling and simplifying complex fluid mechanical problems","docAbstract":"<p>No abstract available.&nbsp;</p>","language":"English","publisher":"MDPI","doi":"10.3390/w13192796","usgsCitation":"Lucas, L., and Deleersnijder, E., 2021, Tracers and timescales: Tools for distilling and simplifying complex fluid mechanical problems: Water, v. 13, no. 19, 2796, 8 p., https://doi.org/10.3390/w13192796.","productDescription":"2796, 8 p.","ipdsId":"IP-133180","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":450512,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w13192796","text":"Publisher Index Page"},{"id":401527,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"19","noUsgsAuthors":false,"publicationDate":"2021-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Lucas, Lisa 0000-0001-7797-5517 llucas@usgs.gov","orcid":"https://orcid.org/0000-0001-7797-5517","contributorId":260498,"corporation":false,"usgs":true,"family":"Lucas","given":"Lisa","email":"llucas@usgs.gov","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":844043,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deleersnijder, Eric 0000-0003-0346-9667","orcid":"https://orcid.org/0000-0003-0346-9667","contributorId":260499,"corporation":false,"usgs":false,"family":"Deleersnijder","given":"Eric","email":"","affiliations":[{"id":52602,"text":"Université catholique de Louvain, Institute of Mechanics, Materials and Civil Engineering (IMMC) & Earth and Life Institute (ELI), Louvain-la-Neuve, Belgium","active":true,"usgs":false}],"preferred":false,"id":844044,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70226571,"text":"70226571 - 2021 - Use of carbon dioxide to prevent zebra mussel (Dreissena polymorpha) settlement and effects on native mussels (Order Unionoida) and benthic communities","interactions":[],"lastModifiedDate":"2021-11-29T12:53:10.449089","indexId":"70226571","displayToPublicDate":"2021-10-08T06:51:49","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Use of carbon dioxide to prevent zebra mussel (Dreissena polymorpha) settlement and effects on native mussels (Order Unionoida) and benthic communities","docAbstract":"<p>We determined the efficacy of carbon dioxide (CO2) for preventing larval (veliger) settlement of the invasive zebra mussel (Dreissena polymorpha) and compared the response of native juvenile mussels and macroinvertebrate and periphyton communities to hypercapnia. A microcosm system of control (ambient Camb) and CO2 treatments [low PCO2 (Clow)=35,094 &amp;micro;atm, and high PCO2 (Chigh)=66,685 &amp;micro;atm)] was supplied with river water for 11 weeks. We measured zebra mussel settlement, juvenile native mussel (Lampsilis cardium and L. siliquoidea) growth and condition, and macroinvertebrate and periphyton community composition. Zebra mussels settled in all Camb tanks (n=4) from early July through August compared to one mussel in a CO2 treatment tank over the same period. Native mussel growth, tissue condition, and shell condition were reduced in CO2, particularly in the highest treatment. Benthic biomass (excluding zebra mussels) was similar in Camb and Clow but was reduced in Chigh. Macroinvertebrate community composition differed among treatments due to greater abundance of Chironomidae in Clow and Oligochaeata in Chigh. Periphyton abundance and richness increased in both CO2 treatments and was driven by increases in Cyanobacteria, Bacillariophyta and Chlorophyta. Our results indicate that efficacious levels of CO2 (~35,000 &amp;micro;atm PCO2) for reducing biofouling by dreissenids are tolerable to most freshwater benthic taxa. Chronic elevated CO2 infusion (&amp;gt;35,000 &amp;micro;atm PCO2) may reduce native mussel growth and condition and alter benthic invertebrate and periphyton community composition. Further refinement of CO2 application strategies is needed to determine minimal effective dose and duration to prevent dreissenid settlement and minimize effects on nontarget organisms.</p>","language":"English","publisher":"Regional Euro-Asian Biological Invasions Centre (REABIC)","doi":"10.3391/mbi.2021.12.4.10","usgsCitation":"Waller, D.L., Bartsch, L., Bartsch, M., Meulemans, M.J., Zolper, T.J., and Severson, T.J., 2021, Use of carbon dioxide to prevent zebra mussel (Dreissena polymorpha) settlement and effects on native mussels (Order Unionoida) and benthic communities: Management of Biological Invasions, v. 12, no. 4, p. 927-951, https://doi.org/10.3391/mbi.2021.12.4.10.","productDescription":"25 p.","startPage":"927","endPage":"951","ipdsId":"IP-126310","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":450515,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2021.12.4.10","text":"Publisher Index Page"},{"id":436167,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P99QA1QO","text":"USGS data release","linkHelpText":"Use of Carbon Dioxide to Prevent Settlement of Dreissenid Mussels"},{"id":392180,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Waller, Diane L. 0000-0002-6104-810X dwaller@usgs.gov","orcid":"https://orcid.org/0000-0002-6104-810X","contributorId":5272,"corporation":false,"usgs":true,"family":"Waller","given":"Diane","email":"dwaller@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":827375,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartsch, Lynn A. 0000-0002-1483-4845 lbartsch@usgs.gov","orcid":"https://orcid.org/0000-0002-1483-4845","contributorId":149360,"corporation":false,"usgs":true,"family":"Bartsch","given":"Lynn A.","email":"lbartsch@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":827376,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bartsch, Michelle 0000-0002-9571-5564 mbartsch@usgs.gov","orcid":"https://orcid.org/0000-0002-9571-5564","contributorId":3165,"corporation":false,"usgs":true,"family":"Bartsch","given":"Michelle","email":"mbartsch@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":827377,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meulemans, Matthew 0000-0003-4584-8737","orcid":"https://orcid.org/0000-0003-4584-8737","contributorId":261521,"corporation":false,"usgs":true,"family":"Meulemans","given":"Matthew","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":827378,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zolper, Thomas J.","contributorId":210258,"corporation":false,"usgs":false,"family":"Zolper","given":"Thomas","email":"","middleInitial":"J.","affiliations":[{"id":38093,"text":"University of Wisconsin - Platteville","active":true,"usgs":false}],"preferred":false,"id":827379,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Severson, Todd J. 0000-0001-5282-3779 tseverson@usgs.gov","orcid":"https://orcid.org/0000-0001-5282-3779","contributorId":4749,"corporation":false,"usgs":true,"family":"Severson","given":"Todd","email":"tseverson@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":827380,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70227362,"text":"70227362 - 2021 - Geodetic constraints on a 25-year magmatic inflation episode near Three Sisters, central Oregon","interactions":[],"lastModifiedDate":"2022-01-11T12:44:33.101055","indexId":"70227362","displayToPublicDate":"2021-10-08T06:41:43","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6453,"text":"Journal of Geophysical Research Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Geodetic constraints on a 25-year magmatic inflation episode near Three Sisters, central Oregon","docAbstract":"<div class=\"article-section__content en main\"><p>Crustal inflation near the Three Sisters volcanic center documented since the mid-1990s has persisted for more than two decades. We update past analyses of the event through 2020 by simultaneously inverting InSAR interferograms, GPS time series, and leveling data for time-dependent volcanic deformation source parameters. We explore several source models to estimate how the deformation rate varied through time and to identify parameters that can reproduce measured deformation. Our preferred model is a Mogi source 4.1&nbsp;km below sea level (5.9&nbsp;km below the surface) about 5&nbsp;km west of the summit of South Sister. Inflation started in late 1995 or 1996; the rate increased rapidly during 1998–1999, and peaked in late 1999, resulting in maximum surface uplift of about 30&nbsp;cm by mid-2020. Since 2000, the inflation rate generally declined exponentially with a time constant of about 6&nbsp;years. Two source inflation scenarios fit the data equally well. In the first, the crust surrounding the source is elastic and the net source-volume increase, which we attribute to persistent magma input, has been about 49&nbsp;×&nbsp;10<sup>6</sup>&nbsp;m<sup>3</sup>. The second scenario adds a viscoelastic shell surrounding the Mogi source. In that case, an injection of about 21&nbsp;×&nbsp;10<sup>6</sup>&nbsp;m<sup>3</sup><span>&nbsp;</span>of magma prior to 2000, followed by continuing relaxation of the viscoelastic shell, can account for most of the observed surface deformation. In both scenarios, modeling reveals quasiperiodic increases in the inflation rate (pulses) with a recurrence interval of 3–4&nbsp;years, both before and after 2000.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021JB022360","usgsCitation":"Lisowski, M., McCaffrey, R., Wicks, C., and Dzurisin, D., 2021, Geodetic constraints on a 25-year magmatic inflation episode near Three Sisters, central Oregon: Journal of Geophysical Research Solid Earth, v. 126, no. 12, e2021JB022360, 21 p., https://doi.org/10.1029/2021JB022360.","productDescription":"e2021JB022360, 21 p.","ipdsId":"IP-127072","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":450519,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://pdxscholar.library.pdx.edu/geology_fac/207","text":"Publisher Index Page"},{"id":394172,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Three Sisters","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.904052734375,\n              43.345154990451135\n            ],\n            [\n              -121.1407470703125,\n              43.345154990451135\n            ],\n            [\n              -121.1407470703125,\n              44.81691551782855\n            ],\n            [\n              -122.904052734375,\n              44.81691551782855\n            ],\n            [\n              -122.904052734375,\n              43.345154990451135\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"126","issue":"12","noUsgsAuthors":false,"publicationDate":"2021-12-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Lisowski, Michael 0000-0003-4818-2504 mlisowski@usgs.gov","orcid":"https://orcid.org/0000-0003-4818-2504","contributorId":637,"corporation":false,"usgs":true,"family":"Lisowski","given":"Michael","email":"mlisowski@usgs.gov","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":830591,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCaffrey, Robert","contributorId":189078,"corporation":false,"usgs":false,"family":"McCaffrey","given":"Robert","email":"","affiliations":[],"preferred":false,"id":830592,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wicks, Charles 0000-0002-0809-1328","orcid":"https://orcid.org/0000-0002-0809-1328","contributorId":9023,"corporation":false,"usgs":true,"family":"Wicks","given":"Charles","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":830593,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dzurisin, Daniel 0000-0002-0138-5067 dzurisin@usgs.gov","orcid":"https://orcid.org/0000-0002-0138-5067","contributorId":538,"corporation":false,"usgs":true,"family":"Dzurisin","given":"Daniel","email":"dzurisin@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":830594,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70229678,"text":"70229678 - 2021 - Flight altitudes of raptors in southern Africa highlight vulnerability of threatened species to wind turbines","interactions":[],"lastModifiedDate":"2022-03-14T11:25:31.405984","indexId":"70229678","displayToPublicDate":"2021-10-08T06:16:59","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Flight altitudes of raptors in southern Africa highlight vulnerability of threatened species to wind turbines","docAbstract":"<div class=\"JournalAbstract\"><p class=\"mb0\">Energy infrastructure, particularly for wind power, is rapidly expanding in Africa, creating the potential for conflict with at-risk wildlife populations. Raptor populations are especially susceptible to negative impacts of fatalities from wind energy because individuals tend to be long-lived and reproduce slowly. A major determinant of risk of collision between flying birds and wind turbines is the altitude above ground at which a bird flies. We examine 18,710 observations of flying raptors recorded in southern Africa and we evaluate, for 49 species, the frequency with which they were observed to fly at the general height of a wind turbine rotor-swept zone (50–150 m). Threatened species, especially vultures, were more likely to be observed at turbine height than were other species, suggesting that these raptors are most likely to be affected by wind power development across southern Africa. Our results highlight that threatened raptor species, particularly vultures, might be especially impacted by expanded wind energy infrastructure across southern Africa.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/fevo.2021.667384","usgsCitation":"McClure, C.J., Dunn, L., McCabe, J.D., Rolek, B.W., Botha, A., Virani, M., Buij, R., and Katzner, T., 2021, Flight altitudes of raptors in southern Africa highlight vulnerability of threatened species to wind turbines: Frontiers in Ecology and Evolution, v. p, 667384, 7 p., https://doi.org/10.3389/fevo.2021.667384.","productDescription":"667384, 7 p.","ipdsId":"IP-126929","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":450523,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2021.667384","text":"Publisher Index Page"},{"id":397050,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"South Africa","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[31.521,-29.25739],[31.32556,-29.40198],[30.90176,-29.90996],[30.62281,-30.42378],[30.05572,-31.14027],[28.92555,-32.17204],[28.21976,-32.77195],[27.46461,-33.22696],[26.41945,-33.61495],[25.90966,-33.66704],[25.78063,-33.94465],[25.17286,-33.79685],[24.67785,-33.98718],[23.59404,-33.79447],[22.98819,-33.91643],[22.57416,-33.86408],[21.5428,-34.25884],[20.68905,-34.41718],[20.07126,-34.79514],[19.61641,-34.81917],[19.19328,-34.4626],[18.85531,-34.44431],[18.42464,-33.99787],[18.37741,-34.13652],[18.2445,-33.86775],[18.25008,-33.28143],[17.92519,-32.61129],[18.24791,-32.42913],[18.22176,-31.66163],[17.56692,-30.72572],[17.06442,-29.87864],[17.06292,-29.87595],[16.34498,-28.57671],[16.82402,-28.08216],[17.21893,-28.35594],[17.3875,-28.78351],[17.83615,-28.85638],[18.4649,-29.04546],[19.00213,-28.97244],[19.89473,-28.4611],[19.89577,-24.76779],[20.16573,-24.91796],[20.75861,-25.86814],[20.66647,-26.47745],[20.88961,-26.82854],[21.6059,-26.72653],[22.10597,-26.28026],[22.57953,-25.97945],[22.82427,-25.50046],[23.3121,-25.26869],[23.73357,-25.39013],[24.21127,-25.67022],[25.02517,-25.71967],[25.66467,-25.48682],[25.76585,-25.17485],[25.94165,-24.69637],[26.48575,-24.61633],[26.78641,-24.24069],[27.11941,-23.57432],[28.01724,-22.82775],[29.43219,-22.09131],[29.83904,-22.10222],[30.32288,-22.27161],[30.65987,-22.15157],[31.19141,-22.25151],[31.6704,-23.65897],[31.93059,-24.36942],[31.75241,-25.48428],[31.83778,-25.84333],[31.33316,-25.66019],[31.04408,-25.73145],[30.94967,-26.02265],[30.67661,-26.39808],[30.68596,-26.74385],[31.28277,-27.28588],[31.86806,-27.17793],[32.07167,-26.73382],[32.83012,-26.74219],[32.58026,-27.47016],[32.46213,-28.30101],[32.20339,-28.7524],[31.521,-29.25739]]],[[[28.5417,-28.6475],[28.97826,-28.9556],[29.32517,-29.25739],[29.01842,-29.74377],[28.8484,-30.07005],[28.29107,-30.22622],[28.1072,-30.54573],[27.7494,-30.64511],[26.99926,-29.87595],[27.53251,-29.24271],[28.07434,-28.85147],[28.5417,-28.6475]]]]},\"properties\":{\"name\":\"South Africa\"}}]}","volume":"p","noUsgsAuthors":false,"publicationDate":"2021-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"McClure, Christopher J W","contributorId":257266,"corporation":false,"usgs":false,"family":"McClure","given":"Christopher","email":"","middleInitial":"J W","affiliations":[{"id":36583,"text":"The Peregrine Fund","active":true,"usgs":false}],"preferred":false,"id":837918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunn, Leah","contributorId":39470,"corporation":false,"usgs":true,"family":"Dunn","given":"Leah","affiliations":[],"preferred":false,"id":837919,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCabe, Jennifer D","contributorId":257268,"corporation":false,"usgs":false,"family":"McCabe","given":"Jennifer","email":"","middleInitial":"D","affiliations":[{"id":36583,"text":"The Peregrine Fund","active":true,"usgs":false}],"preferred":false,"id":837920,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rolek, Brian W.","contributorId":200318,"corporation":false,"usgs":false,"family":"Rolek","given":"Brian","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":837921,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Botha, Andre","contributorId":288446,"corporation":false,"usgs":false,"family":"Botha","given":"Andre","affiliations":[],"preferred":false,"id":837922,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Virani, Munir","contributorId":288447,"corporation":false,"usgs":false,"family":"Virani","given":"Munir","affiliations":[],"preferred":false,"id":837923,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Buij, Ralph","contributorId":288448,"corporation":false,"usgs":false,"family":"Buij","given":"Ralph","email":"","affiliations":[],"preferred":false,"id":837924,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":837925,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70224952,"text":"70224952 - 2021 - Evidence that copepod biomass during the larval period regulates recruitment of Lake Erie walleye","interactions":[],"lastModifiedDate":"2022-01-07T15:59:34.020137","indexId":"70224952","displayToPublicDate":"2021-10-07T11:23:08","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Evidence that copepod biomass during the larval period regulates recruitment of Lake Erie walleye","docAbstract":"<p><span>Walleye (</span><i>Sander vitreus</i><span>) is an economically and culturally important species in Lake Erie that has experienced large interannual variability in recruitment. We examined the importance of prey biomass during the larval period to walleye recruitment while also considering the importance of temperature. Using nine years of field data over a 22-year period (1994–2016) for larval walleye and zooplankton, we found that strong recruitment events occurred in years when the biomass (dry µg L</span><sup>-1</sup><span>) of copepods (e.g., calanoids, cyclopoids) was greater during the spring larval period. Conversely, the biomass of cladocerans and mean spring water temperatures were poor predictors of walleye recruitment. Our results highlight the need to consider zooplankton availability during the larval period when seeking to understand the recruitment dynamics of freshwater fish populations such as Lake Erie walleye.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2021.09.009","usgsCitation":"May, C.J., Budnik, R., Ludsin, S., O’Donnell, D., Hood, J.M., Roseman, E., and Marschall, E., 2021, Evidence that copepod biomass during the larval period regulates recruitment of Lake Erie walleye: Journal of Great Lakes Research, v. 47, no. 6, p. 1737-1745, https://doi.org/10.1016/j.jglr.2021.09.009.","productDescription":"9 p.","startPage":"1737","endPage":"1745","ipdsId":"IP-114665","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":390394,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Ohio","otherGeospatial":"Lake Erie","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.5455322265625,\n              41.52091689636249\n            ],\n            [\n              -82.8533935546875,\n              41.52091689636249\n            ],\n            [\n              -82.8533935546875,\n              41.94314874732696\n            ],\n            [\n              -83.5455322265625,\n              41.94314874732696\n            ],\n            [\n              -83.5455322265625,\n              41.52091689636249\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"47","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"May, Cassandra J.","contributorId":150961,"corporation":false,"usgs":false,"family":"May","given":"Cassandra","email":"","middleInitial":"J.","affiliations":[{"id":18155,"text":"The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":824820,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Budnik, R.","contributorId":267239,"corporation":false,"usgs":false,"family":"Budnik","given":"R.","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":824821,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ludsin, S.","contributorId":267240,"corporation":false,"usgs":false,"family":"Ludsin","given":"S.","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":824822,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Donnell, D.","contributorId":267241,"corporation":false,"usgs":false,"family":"O’Donnell","given":"D.","email":"","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":824823,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hood, James M.","contributorId":267332,"corporation":false,"usgs":false,"family":"Hood","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":824824,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roseman, Edward F. 0000-0002-5315-9838","orcid":"https://orcid.org/0000-0002-5315-9838","contributorId":217909,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":824825,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Marschall, E.","contributorId":267242,"corporation":false,"usgs":false,"family":"Marschall","given":"E.","email":"","affiliations":[{"id":36630,"text":"Ohio State University","active":true,"usgs":false}],"preferred":false,"id":824826,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70225666,"text":"70225666 - 2021 - An opportunistic survey reveals an unexpected coronavirus diversity hotspot in North America","interactions":[],"lastModifiedDate":"2021-11-02T13:50:42.906702","indexId":"70225666","displayToPublicDate":"2021-10-07T08:41:40","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3700,"text":"Viruses","active":true,"publicationSubtype":{"id":10}},"title":"An opportunistic survey reveals an unexpected coronavirus diversity hotspot in North America","docAbstract":"<p><span>In summer 2020, Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) was detected on mink farms in Utah. An interagency One Health response was initiated to assess the extent of the outbreak and included sampling animals from on or near affected mink farms and testing them for SARS-CoV-2 and non-SARS coronaviruses. Among the 365 animals sampled, including domestic cats, mink, rodents, raccoons, and skunks, 261 (72%) of the animals harbored at least one coronavirus. Among the samples that could be further characterized, 127 alphacoronaviruses and 88 betacoronaviruses (including 74 detections of SARS-CoV-2 in mink) were identified. Moreover, at least 10% (</span><span class=\"html-italic\">n</span><span>&nbsp;= 27) of the coronavirus-positive animals were found to be co-infected with more than one coronavirus. Our findings indicate an unexpectedly high prevalence of coronavirus among the domestic and wild free-roaming animals tested on mink farms. These results raise the possibility that mink farms could be potential hot spots for future trans-species viral spillover and the emergence of new pandemic coronaviruses.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/v13102016","usgsCitation":"Ip, H., Griffin, K., Messer, J.D., Winzeler, M., Shriner, S.A., Killian, M.L., Torchetti, M.K., DeLiberto, T.J., Amman, B.R., Cossaboom, C.M., Harvey, R.R., Wendling, N.M., Rettler, H., Taylor, D., Towner, J.S., Behravesh, C., and Blehert, D.S., 2021, An opportunistic survey reveals an unexpected coronavirus diversity hotspot in North America: Viruses, v. 13, no. 10, 2016, 12 p., https://doi.org/10.3390/v13102016.","productDescription":"2016, 12 p.","ipdsId":"IP-131652","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":450525,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/v13102016","text":"Publisher Index Page"},{"id":436169,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9X5VR9S","text":"USGS data release","linkHelpText":"Data from the article &amp;amp;amp;amp;ldquo;An opportunistic survey reveals an unexpected coronavirus diversity hotspot in North America&amp;amp;amp;amp;rdquo;"},{"id":391269,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.05029296875,\n              37.055177106660814\n            ],\n            [\n              -109.00634765625,\n              41.07935114946899\n            ],\n            [\n              -111.02783203125,\n              40.94671366508002\n            ],\n    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0000-0003-1809-0019","orcid":"https://orcid.org/0000-0003-1809-0019","contributorId":268186,"corporation":false,"usgs":true,"family":"Griffin","given":"Kathryn M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":826115,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Messer, Jeffrey D. 0000-0001-9945-0738","orcid":"https://orcid.org/0000-0001-9945-0738","contributorId":268187,"corporation":false,"usgs":true,"family":"Messer","given":"Jeffrey","email":"","middleInitial":"D.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":826116,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Winzeler, Megan 0000-0002-0361-1582 mwinzeler@usgs.gov","orcid":"https://orcid.org/0000-0002-0361-1582","contributorId":196714,"corporation":false,"usgs":true,"family":"Winzeler","given":"Megan","email":"mwinzeler@usgs.gov","affiliations":[],"preferred":true,"id":826117,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shriner, Susan A.","contributorId":168690,"corporation":false,"usgs":false,"family":"Shriner","given":"Susan","email":"","middleInitial":"A.","affiliations":[{"id":13407,"text":"Colorado State Univ.","active":true,"usgs":false}],"preferred":false,"id":826118,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Killian, Mary Lea","contributorId":247507,"corporation":false,"usgs":false,"family":"Killian","given":"Mary","email":"","middleInitial":"Lea","affiliations":[{"id":49560,"text":"National Veterinary Services Laboratories, USDA-APHIS, Ames, Iowa 50010, USA","active":true,"usgs":false}],"preferred":false,"id":826119,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Torchetti, Mia K.","contributorId":252830,"corporation":false,"usgs":false,"family":"Torchetti","given":"Mia","email":"","middleInitial":"K.","affiliations":[{"id":50437,"text":"US Department of Agriculture – Veterinary Services, Ames, Iowa, USA","active":true,"usgs":false}],"preferred":false,"id":826120,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"DeLiberto, Thomas J.","contributorId":145606,"corporation":false,"usgs":false,"family":"DeLiberto","given":"Thomas","email":"","middleInitial":"J.","affiliations":[{"id":16167,"text":"7United States Department of Agriculture, Animal and Plant Health Inspection Service, Wildlife Services, National Wildlife Disease Program, 4101 LaPorte Ave., Fort Collins, CO, United States of America.","active":true,"usgs":false}],"preferred":false,"id":826121,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Amman, Brian R.","contributorId":148015,"corporation":false,"usgs":false,"family":"Amman","given":"Brian","email":"","middleInitial":"R.","affiliations":[{"id":16974,"text":"US Centers for Disease Control and Prevention (CDC)","active":true,"usgs":false}],"preferred":false,"id":826122,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Cossaboom, Caitlin M.","contributorId":268189,"corporation":false,"usgs":false,"family":"Cossaboom","given":"Caitlin","email":"","middleInitial":"M.","affiliations":[{"id":55586,"text":"Centers for Disease Control and Prevention, Atlanta, GA., USA","active":true,"usgs":false}],"preferred":false,"id":826123,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Harvey, R. Reid","contributorId":268190,"corporation":false,"usgs":false,"family":"Harvey","given":"R.","email":"","middleInitial":"Reid","affiliations":[{"id":55586,"text":"Centers for Disease Control and Prevention, Atlanta, GA., USA","active":true,"usgs":false}],"preferred":false,"id":826124,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Wendling, Natalie M.","contributorId":268191,"corporation":false,"usgs":false,"family":"Wendling","given":"Natalie","email":"","middleInitial":"M.","affiliations":[{"id":55586,"text":"Centers for Disease Control and Prevention, Atlanta, GA., USA","active":true,"usgs":false}],"preferred":false,"id":826125,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Rettler, Hannah","contributorId":268192,"corporation":false,"usgs":false,"family":"Rettler","given":"Hannah","email":"","affiliations":[{"id":55587,"text":"Utah Department of Health, , Salt Lake City, UT., USA.","active":true,"usgs":false}],"preferred":false,"id":826126,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Taylor, Dean","contributorId":268193,"corporation":false,"usgs":false,"family":"Taylor","given":"Dean","email":"","affiliations":[{"id":55588,"text":"Utah Department of Agriculture and Food, Salt Lake City, UT., USA","active":true,"usgs":false}],"preferred":false,"id":826127,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Towner, Jonathan S.","contributorId":198226,"corporation":false,"usgs":false,"family":"Towner","given":"Jonathan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":826128,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Behravesh, Casey Barton","contributorId":268194,"corporation":false,"usgs":false,"family":"Behravesh","given":"Casey Barton","affiliations":[{"id":55586,"text":"Centers for Disease Control and Prevention, Atlanta, GA., USA","active":true,"usgs":false}],"preferred":false,"id":826129,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Blehert, David S. 0000-0002-1065-9760 dblehert@usgs.gov","orcid":"https://orcid.org/0000-0002-1065-9760","contributorId":140397,"corporation":false,"usgs":true,"family":"Blehert","given":"David","email":"dblehert@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":826130,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70225550,"text":"70225550 - 2021 - Identifying negative sentiment polarity in the Judas technique","interactions":[],"lastModifiedDate":"2021-11-01T16:12:47.21722","indexId":"70225550","displayToPublicDate":"2021-10-07T07:42:48","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Identifying negative sentiment polarity in the Judas technique","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>In the context of conservation science and management, the Judas technique refers to outfitting an animal (a Judas animal) with a radio transmitter or other identifier so that its movements can be tracked to locate conspecifics. Although this term is commonly used, some consider it offensive due to historical associations of the word Judas with anti-Semitic sentiments. Thus, the term has a negative sentiment polarity (i.e., the assertion that words can have positive, negative, or neutral connotations). We investigated the etymology of the Judas term in peer-reviewed scientific literature to outline its contextual introduction and use. Prior to the term being co-opted by conservation scientists Judas [animal] was a common term in the livestock industry to describe animals used to lead herds to slaughter. Subsequently, the term has been published and promulgated through conservation-related research and the literature. Due to a negative sentiment polarity linked to this term, especially among members of the public, alternative nomenclature may be preferred to increase objective and dispassionate scientific communication.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/csp2.532","usgsCitation":"Fitzgerald, A.L., Josimovich, J.M., Robinson, C.J., Reed, R., and Currylow, A.F., 2021, Identifying negative sentiment polarity in the Judas technique: Conservation Science and Practice, v. 3, no. 11, e532, 7 p., https://doi.org/10.1111/csp2.532.","productDescription":"e532, 7 p.","ipdsId":"IP-127138","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":450528,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.532","text":"Publisher Index Page"},{"id":390815,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","issue":"11","noUsgsAuthors":false,"publicationDate":"2021-10-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Fitzgerald, Austin Lee 0000-0002-9016-1849","orcid":"https://orcid.org/0000-0002-9016-1849","contributorId":264910,"corporation":false,"usgs":true,"family":"Fitzgerald","given":"Austin","email":"","middleInitial":"Lee","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":825549,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Josimovich, Jillian Maureen 0000-0002-7523-3496 jjosimovich@usgs.gov","orcid":"https://orcid.org/0000-0002-7523-3496","contributorId":257058,"corporation":false,"usgs":true,"family":"Josimovich","given":"Jillian","email":"jjosimovich@usgs.gov","middleInitial":"Maureen","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":825550,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robinson, Charlotte J. 0000-0002-9156-1609","orcid":"https://orcid.org/0000-0002-9156-1609","contributorId":257057,"corporation":false,"usgs":false,"family":"Robinson","given":"Charlotte","email":"","middleInitial":"J.","affiliations":[{"id":51975,"text":"USGS Fort Collins Science Center (formerly)","active":true,"usgs":false}],"preferred":false,"id":825551,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reed, Robert 0000-0001-8349-6168 reedr@usgs.gov","orcid":"https://orcid.org/0000-0001-8349-6168","contributorId":152301,"corporation":false,"usgs":true,"family":"Reed","given":"Robert","email":"reedr@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":825552,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Currylow, Andrea Faye 0000-0003-1631-8964","orcid":"https://orcid.org/0000-0003-1631-8964","contributorId":257055,"corporation":false,"usgs":true,"family":"Currylow","given":"Andrea","email":"","middleInitial":"Faye","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":825553,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70224943,"text":"ofr20211086 - 2021 - Water-quality distributions in the East Branch Black River near the Chemical Recovery Systems site in Elyria, Ohio, 2021","interactions":[],"lastModifiedDate":"2021-10-11T11:44:55.648814","indexId":"ofr20211086","displayToPublicDate":"2021-10-06T17:39:53","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-1086","displayTitle":"Water-Quality Distributions in the East Branch Black River near the Chemical Recovery Systems Site in Elyria, Ohio, 2021","title":"Water-quality distributions in the East Branch Black River near the Chemical Recovery Systems site in Elyria, Ohio, 2021","docAbstract":"<p>Autonomous underwater vehicles are uniquely designed to provide spatially dense water-quality data along with bathymetry and velocimetry. The U.S. Environmental Protection Agency Region 5 requested technical assistance from the U.S. Geological Survey in support of ongoing investigations at the Chemical Recovery Systems site to collect spatially dense water-quality and bathymetry data in the East Branch Black River in Elyria, Ohio. This report was prepared in cooperation with the U.S. Environmental Protection Agency to present the results of the autonomous underwater vehicle survey near the Chemical Recovery Systems site on March 22, 2021. Plots of distributions of water temperature, specific conductance, pH, and dissolved oxygen are presented that may help guide and focus future U.S. Environmental Protection Agency efforts at the site to determine the degree of groundwater/surface-water interaction.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211086","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Wilson, J.L., and Dobrowolski, E.G., 2021, Water-quality distributions in the East Branch Black River near the Chemical Recovery Systems site in Elyria, Ohio, 2021: U.S. Geological Survey Open-File Report 2021–1086, 10 p., https://doi.org/10.3133/ofr20211086.","productDescription":"Report: vii, 10 p.; Data Release; Dataset","numberOfPages":"22","onlineOnly":"Y","ipdsId":"IP-128518","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":390284,"rank":4,"type":{"id":28,"text":"Dataset"},"url":"https://waterdata.usgs.gov/oh/nwis/uv?site_no=04200500","text":"U.S. Geological Survey National Water Information System database","description":"USGS Dataset","linkHelpText":"— USGS 04200500 Black River at Elyria OH, in USGS water data for the Nation"},{"id":390281,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1086/coverthb.jpg"},{"id":390282,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1086/ofr20211086.pdf","text":"Report","size":"4.23 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021"},{"id":390283,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FEBCBY","text":"USGS Data Release","description":"USGS Data Release","linkHelpText":"Autonomous underwater vehicle water-quality and sonar measurements in the East Branch Black River near Elyria, Ohio, 2021"}],"country":"United States","state":"Ohio","city":"Elyria","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.23541259765625,\n              41.2509675141624\n            ],\n            [\n              -81.9635009765625,\n              41.2509675141624\n            ],\n            [\n              -81.9635009765625,\n              41.49623534616764\n            ],\n            [\n              -82.23541259765625,\n              41.49623534616764\n            ],\n            [\n              -82.23541259765625,\n              41.2509675141624\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a data-mce-href=\"mailto:%20dc_mo@usgs.gov\" href=\"mailto:%20dc_mo@usgs.gov\">Director</a>, <a data-mce-href=\"https://www.usgs.gov/centers/cm-water\" href=\"https://www.usgs.gov/centers/cm-water\">Central Midwest Water Science Center</a><br> U.S. Geological Survey<br>1400 Independence Road <br>Rolla, MO 65401 </p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Methods</li><li>Distribution of Water-Quality Constituents and Characteristics</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2021-10-06","noUsgsAuthors":false,"publicationDate":"2021-10-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilson, Jordan L. 0000-0003-0490-9062 jlwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-0490-9062","contributorId":5416,"corporation":false,"usgs":true,"family":"Wilson","given":"Jordan","email":"jlwilson@usgs.gov","middleInitial":"L.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":824754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dobrowolski, Edward G. 0000-0001-9840-4609 edobrowo@usgs.gov","orcid":"https://orcid.org/0000-0001-9840-4609","contributorId":5555,"corporation":false,"usgs":true,"family":"Dobrowolski","given":"Edward","email":"edobrowo@usgs.gov","middleInitial":"G.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true}],"preferred":true,"id":824755,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70224936,"text":"sim3477 - 2021 - Geologic map of the Athabasca Valles region, Mars","interactions":[],"lastModifiedDate":"2023-03-20T18:15:10.931298","indexId":"sim3477","displayToPublicDate":"2021-10-06T14:36:49","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3477","displayTitle":"Geologic Map of the Athabasca Valles Region, Mars","title":"Geologic map of the Athabasca Valles region, Mars","docAbstract":"<p>This 1:1,000,000-scale geologic map of the Athabasca Valles region of Mars places the best-preserved lavas on Mars into their geologic context. The map shows vigorous geologic activity in the most recent epoch of the geologic history of Mars, which is extremely unusual for the planet. In these atypically youthful terrains, the interpretations of geologic processes are exceptionally robust for planetary geologic mapping. The investigation relies heavily on images from the NASA Mars Reconnaissance Orbiter (MRO) High-Resolution Imaging Science Experiment (HiRISE) and Context (CTX) cameras, which have sub-meter and sub-decameter spatial resolution, respectively. Geospatial fidelity is provided by the photogrammetrically controlled 100-meter-per-pixel map base derived from Thermal Emission Imaging System (THEMIS) daytime infrared image data. The individual HiRISE and CTX images are available through the National Aeronautics and Space Administration (NASA) Planetary Data System Cartography and Imaging Sciences Node (<a href=\"https://pds-imaging.jpl.nasa.gov/\" data-mce-href=\"https://pds-imaging.jpl.nasa.gov/\">https://pds-imaging.jpl.nasa.gov/</a>).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3477","collaboration":"Prepared for the National Aeronautics and Space Administration","usgsCitation":"Keszthelyi, L.P., Huff, A.E., and Jaeger, W.L., 2021, Geologic map of the Athabasca Valles region, Mars: U.S. Geological Survey Scientific Investigations Map 3477, pamphlet 11 p., 1 sheet, scale 1,000,000, https://doi.org/10.3133/sim3477.","productDescription":"Report: iv, 11 p.; 1 Sheet: 44.19 x 36.43 inches; Metadata; Database; Read Me","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-101388","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":436171,"rank":9,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JA21OB","text":"USGS data release","linkHelpText":"Interactive Map: USGS SIM 3477 Geologic Map of the Athabasca Valles Region, Mars"},{"id":390265,"rank":6,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3477/sim3477_pamphlet.pdf","text":"Pamphlet","size":"600 KB","linkFileType":{"id":1,"text":"pdf"}},{"id":390259,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3477/covrthb.jpg"},{"id":400822,"rank":8,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://doi.org/10.5066/P9JA21OB","text":"Interactive map","linkHelpText":"- Geologic Map of the Athabasca Valles Region, Mars, 1:1M. Keszthelyi et al. (2021)"},{"id":390266,"rank":7,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3477/sim3477_sheet.pdf","size":"13 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":390264,"rank":5,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sim/3477/sim3477_database.zip","size":"90 MB","linkFileType":{"id":6,"text":"zip"}},{"id":390263,"rank":4,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3477/sim3477_readme.txt","size":"10 KB","linkFileType":{"id":2,"text":"txt"}},{"id":390262,"rank":3,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3477/sim3477_metadata.xml","size":"10 KB","linkFileType":{"id":8,"text":"xml"}},{"id":390261,"rank":2,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3477/sim3477_metadata.txt","size":"10 KB","linkFileType":{"id":2,"text":"txt"}}],"otherGeospatial":"Mars","contact":"<p><a href=\"https://www.usgs.gov/centers/astrogeology-science-center/connect\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/astrogeology-science-center/connect\">Contact Astrogeology Research Program staff</a><br><a href=\"https://www.usgs.gov/centers/astrogeology-science-center\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/astrogeology-science-center\">Astrogeology Science Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>2255 N. Gemini Dr.<br>Flagstaff, AZ 86001</p>","tableOfContents":"<ul><li>Introduction&nbsp;&nbsp;</li><li>Geographic Setting&nbsp;&nbsp;</li><li>Base Map and Data&nbsp;&nbsp;</li><li>Methodology&nbsp;&nbsp;</li><li>Age Determinations&nbsp;&nbsp;</li><li>Geologic Summary&nbsp;</li><li>Acknowledgments&nbsp;&nbsp;</li><li>References Cited&nbsp;</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2021-10-06","noUsgsAuthors":false,"publicationDate":"2021-10-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Keszthelyi, Laszlo P. 0000-0003-1879-4331 laz@usgs.gov","orcid":"https://orcid.org/0000-0003-1879-4331","contributorId":52802,"corporation":false,"usgs":true,"family":"Keszthelyi","given":"Laszlo P.","email":"laz@usgs.gov","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":824743,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huff, Alexandra E. 0000-0001-9778-4814","orcid":"https://orcid.org/0000-0001-9778-4814","contributorId":213420,"corporation":false,"usgs":true,"family":"Huff","given":"Alexandra","email":"","middleInitial":"E.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":824744,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jaeger, Windy L.","contributorId":61679,"corporation":false,"usgs":true,"family":"Jaeger","given":"Windy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":824745,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}