{"pageNumber":"527","pageRowStart":"13150","pageSize":"25","recordCount":165359,"records":[{"id":70218478,"text":"70218478 - 2021 - In‐situ mass balance estimates offshore Costa Rica","interactions":[],"lastModifiedDate":"2021-03-01T14:49:47.347398","indexId":"70218478","displayToPublicDate":"2020-12-21T08:42:00","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"In‐situ mass balance estimates offshore Costa Rica","docAbstract":"

The Costa Rican convergent margin has been considered a type erosive margin, with erosional models suggesting average losses up to −153 km3/km/m.y. However, three‐dimensional (3D) seismic reflection and Integrated Ocean Drilling Program data collected offshore the Osa Peninsula images accretionary structures and vertical motions that conflict with the forearc basal erosion model. Here we integrate such data to do an in‐situ accounting of material transfer at the plate boundary across the outermost 10 km of the forearc, characterized by active and inactive megathrusts. Our in‐situ budget finds an approximate balance between sediment recycling via accretion and underplating, 0.7–2.3 km3/km/m.y., and basal erosion, 0.7 km3/km/m.y., while subducting sediment volumes, 7.8 km3/km/m.y., greatly outpace either material transfer volumes. These budget results differ significantly from published estimates based on simple proxies of trench axis deflection and slope subsidence. These budget results are the summation of thin incoming hemipelagic sediments that variably accrete along the deformation front, underplating of hemipelagic sediments on the upthrown‐side and basal erosion on the downthrown‐side of active plate bending faulting landward of the trench axis, and sediment subduction primarily composed of pelagic sediments.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020GC009190","usgsCitation":"Edwards, J., Kluesner, J.W., Silver, E., Lauer, R., Bangs, N., and Boston, B., 2021, In‐situ mass balance estimates offshore Costa Rica: Geochemistry, Geophysics, Geosystems, v. 22, e2020GC009190, 13 p., https://doi.org/10.1029/2020GC009190.","productDescription":"e2020GC009190, 13 p.","ipdsId":"IP-106898","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488380,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doaj.org/article/6804fd0b6f724ecb9c8aad62cdccfc0b","text":"Publisher Index Page"},{"id":383681,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Costa Rica","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.9852294921875,\n 8.597315884206026\n ],\n [\n -85.15502929687499,\n 10.487811882056695\n ],\n [\n -86.23168945312499,\n 9.56283423106296\n ],\n [\n -83.6883544921875,\n 7.656553242193619\n ],\n [\n -82.9852294921875,\n 8.597315884206026\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"22","noUsgsAuthors":false,"publicationDate":"2021-02-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Edwards, Joel","contributorId":252933,"corporation":false,"usgs":false,"family":"Edwards","given":"Joel","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":811162,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kluesner, Jared W. 0000-0003-1701-8832 jkluesner@usgs.gov","orcid":"https://orcid.org/0000-0003-1701-8832","contributorId":201261,"corporation":false,"usgs":true,"family":"Kluesner","given":"Jared","email":"jkluesner@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":811163,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Silver, Eli","contributorId":252934,"corporation":false,"usgs":false,"family":"Silver","given":"Eli","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":811164,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lauer, Rachel","contributorId":252935,"corporation":false,"usgs":false,"family":"Lauer","given":"Rachel","email":"","affiliations":[{"id":16660,"text":"University of Calgary","active":true,"usgs":false}],"preferred":false,"id":811165,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bangs, Nathan","contributorId":252936,"corporation":false,"usgs":false,"family":"Bangs","given":"Nathan","affiliations":[{"id":50475,"text":"UTIG","active":true,"usgs":false}],"preferred":false,"id":811166,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boston, Brian","contributorId":252937,"corporation":false,"usgs":false,"family":"Boston","given":"Brian","email":"","affiliations":[{"id":40272,"text":"Japan Agency for Marine-Earth Science and Technology","active":true,"usgs":false}],"preferred":false,"id":811167,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70229429,"text":"70229429 - 2021 - Canada goose survival and recovery rates in urban and rural areas of Iowa, USA","interactions":[],"lastModifiedDate":"2022-03-08T12:50:04.301788","indexId":"70229429","displayToPublicDate":"2020-12-21T06:46:00","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Canada goose survival and recovery rates in urban and rural areas of Iowa, USA","docAbstract":"

Once extirpated from much of their North American range, temperate-breeding Canada geese (Branta canadensis maxima) have reached high abundance. As a result, focus has shifted from restoration to managing harvest and addressing human-goose conflict. Conflict persists or is increasing in urban areas throughout the Mississippi Flyway. Managers need more information regarding demographic rates to determine how hunting affects geese breeding in urban areas and what management actions may be required to achieve management goals. We estimated survival, dead recovery, live recapture, and fidelity probabilities using data from 77,872 Canada geese banded in Iowa, USA, during 1999–2019 using Burnham joint live-dead band recovery models. Factors predicted to affect parameters in candidate models included age (juvenile, subadult, adult), banding site (urban, rural), time, trend, harvest regulation index, and winter severity index. We predicted Canada geese banded in urban areas would have higher survival and lower dead recovery rates than geese banded at rural sites. The top model indicated support for age and banding site effects, and trends in survival and recovery rate (Brownie parameterization). Adult survival was similar for urban (0.75; range = 0.60–0.92) and rural (0.75; range = 0.66–0.82) geese and relatively constant across years. Mean juvenile survival was lower in urban (0.74; range = 0.48–0.93) than rural (0.85; range = 0.68–0.92) areas. Survival increased for urban-banded juveniles and recovery rates increased during liberalization of harvest regulations and decreased after regulations stabilized. Recovery rates of subadults increased for the urban and rural groups. Our results suggest Canada geese breeding in urban areas contribute to harvest and specialized regulations can affect these populations. Harvest regulations in place during our analysis may not have reached a threshold required to observe substantial changes in survival. Current human-goose conflict in urban areas suggests survival has not decreased to a level required to completely address conflict via reduction in goose abundance. Managers may consider additional liberalization of harvest regulations and monitoring via banding to determine to what degree hunter harvest contributes to reducing human-goose conflict and what additional management actions will be required to achieve goals. © 2020 The Wildlife Society.

","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21987","usgsCitation":"Luukkonen, B.Z., Jones, O.E., and Klaver, R.W., 2021, Canada goose survival and recovery rates in urban and rural areas of Iowa, USA: Journal of Wildlife Management, v. 85, no. 2, p. 283-292, https://doi.org/10.1002/jwmg.21987.","productDescription":"10 p.","startPage":"283","endPage":"292","ipdsId":"IP-124962","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":396847,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"85","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Luukkonen, Benjamin Z.","contributorId":288103,"corporation":false,"usgs":false,"family":"Luukkonen","given":"Benjamin","email":"","middleInitial":"Z.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":837425,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Orrin E.","contributorId":288104,"corporation":false,"usgs":false,"family":"Jones","given":"Orrin","email":"","middleInitial":"E.","affiliations":[{"id":39338,"text":"Iowa DNR","active":true,"usgs":false}],"preferred":false,"id":837426,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Klaver, Robert W. 0000-0002-3263-9701 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Management","active":true,"publicationSubtype":{"id":10}},"title":"Survival and movement patterns of Rainbow Trout stocked in a groundwater-influenced warmwater stream","docAbstract":"

Stocking Rainbow Trout Oncorhynchus mykiss to create additional angling opportunities is common; however, the spatial and temporal dynamics of such stocking practices are unclear in groundwater-influenced, warmwater streams. Our objectives were to determine Rainbow Trout dispersal from a stocking location on Spavinaw Creek, Oklahoma and to quantify apparent survival of two cohorts of Rainbow Trout stocked in November 2018 and February 2019. Rainbow Trout were PIT-tagged prior to autumn (N = 495) and winter (N = 605) stocking and located poststocking using both an active floating array and two passive fixed arrays. We actively tracked a 6-km extent every 2–3 weeks poststocking and found that PIT-tagged Rainbow Trout dispersal ranged from 0 to 4 km with ~90% of detected tagged fish remaining within 1 km of the stocking location. Directional movement by stocked Rainbow Trout was evident with upstream movements related to increases in daily water discharge and downstream movements related to decreases in daily discharge. Estimated apparent weekly survival of Rainbow Trout was lowest during the first 2 weeks poststocking (91% and 75% for autumn and spring cohorts, respectively). Apparent weekly survival rates for both autumn and spring stocked fish increased through winter and spring when maximum water temperatures were below 25℃, reaching survival rates of 99% by the end of spring. Rainbow Trout persisted in Spavinaw Creek throughout the summer; however, the weekly apparent survival rate declined for both cohorts (93%) when maximum daily water temperatures exceeded 25°C. Our results can be used to guide stocking decisions in similar warmwater streams and suggest that Rainbow Trout persist through spring and summer poststocking under the conditions encountered during our study.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10566","usgsCitation":"Wolf, S.L., and Brewer, S.K., 2021, Survival and movement patterns of Rainbow Trout stocked in a groundwater-influenced warmwater stream: North American Journal of Fisheries Management, v. 41, no. 3, p. 600-615, https://doi.org/10.1002/nafm.10566.","productDescription":"16 p.","startPage":"600","endPage":"615","ipdsId":"IP-119658","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":396497,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","otherGeospatial":"Spavinaw Creek","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.73939895629883,\n 36.2986633386112\n ],\n [\n -94.59692001342773,\n 36.2986633386112\n ],\n [\n -94.59692001342773,\n 36.35439810755854\n ],\n [\n -94.73939895629883,\n 36.35439810755854\n ],\n [\n -94.73939895629883,\n 36.2986633386112\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-12-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Wolf, S. L.","contributorId":242898,"corporation":false,"usgs":false,"family":"Wolf","given":"S.","email":"","middleInitial":"L.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":836064,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":836065,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70223318,"text":"70223318 - 2021 - Exploring relationships among stream health, human well-being, and demographics in Virginia, USA","interactions":[],"lastModifiedDate":"2021-08-23T14:33:51.591281","indexId":"70223318","displayToPublicDate":"2020-12-20T09:24:02","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Exploring relationships among stream health, human well-being, and demographics in Virginia, USA","docAbstract":"

Quantification of empirical relationships between ecosystem health and human well-being is uncommon at broad spatial scales. We used public data for Virginia (USA) counties to examine pairwise correlations among two indicators of stream health, thirteen indicators of human well-being, and four demographic metrics. Our indicators of stream health included the Virginia Stream Condition Index (VSCI) and the percentage of stream kilometers with a fish consumption advisory (%FCA); these measures are inversely related. VSCI and %FCA were correlated with some indicators of human health, safety and security, and living standards, as well as with some demographic metrics. VSCI was most strongly correlated (positively) with the percentage of a county’s population self-identifying as White; %FCA was most strongly correlated (positively) with overall mortality rate (number of deaths per 100,000 people). This exploratory study highlights the need for future multidisciplinary, multiscale studies to characterize toxicological, epidemiological, socioeconomic, and political linkages – including causal mechanisms – between ecosystem health and human well-being.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2020.107194","usgsCitation":"Angermeier, P.L., Stern, M.J., Krometis, L., and Hemby, T.L., 2021, Exploring relationships among stream health, human well-being, and demographics in Virginia, USA: Ecological Indicators, v. 121, 107194, 9 p., https://doi.org/10.1016/j.ecolind.2020.107194.","productDescription":"107194, 9 p.","ipdsId":"IP-101865","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":454052,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2020.107194","text":"Publisher Index Page"},{"id":388351,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"121","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Angermeier, Paul L. 0000-0003-2864-170X biota@usgs.gov","orcid":"https://orcid.org/0000-0003-2864-170X","contributorId":166679,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul","email":"biota@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":821709,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stern, Marc J.","contributorId":264592,"corporation":false,"usgs":false,"family":"Stern","given":"Marc","email":"","middleInitial":"J.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":821711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krometis, Leigh Anne","contributorId":264591,"corporation":false,"usgs":false,"family":"Krometis","given":"Leigh Anne","affiliations":[{"id":54511,"text":"Virginai Tech","active":true,"usgs":false}],"preferred":false,"id":821710,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hemby, Tyler L.","contributorId":264593,"corporation":false,"usgs":false,"family":"Hemby","given":"Tyler","email":"","middleInitial":"L.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":821712,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70220277,"text":"70220277 - 2021 - Recruitment dynamics of non-native largemouth bass within the Sacramento-San Joaquin delta","interactions":[],"lastModifiedDate":"2021-05-13T15:24:51.258767","indexId":"70220277","displayToPublicDate":"2020-12-20T07:29:09","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Recruitment dynamics of non-native largemouth bass within the Sacramento-San Joaquin delta","docAbstract":"
Largemouth bass (LMB; Micropterus salmoides) recruitment is limited by a critical developmental period during early life stages, but this mechanism may be less important within non-native habitats. We conducted boat electrofishing surveys in four tidal lakes of California’s Sacramento–San Joaquin Delta (SSJD) from 2010 to 2011 to describe introduced LMB recruitment dynamics. We evaluated growth, proximate composition, and health indices of young-of-the-year (YOY) LMB among tidal lakes and developed an integrated count model to determine how factors known to affect LMB recruitment shape SSJD population structure. Our results show a mismatch among growth, nutrition, and YOY abundance, where the tidal lake with the most abundant and fastest-growing LMB had the poorest nutritional status. The warm winter water temperatures and lack of a hatching-cohort growth advantage suggests overwinter starvation plays a less important role in SSJD LMB recruitment than in many native LMB habitats. Collectively, our results suggest that habitat characteristics (submerged aquatic vegetation) and not overwinter mortality shapes SSJD LMB population structure, a mechanism consistent with contemporary hypotheses about the altered fish community structure of the SSJD.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2020-0241","usgsCitation":"Huntsman, B., Feyrer, F.V., Young, M.J., Hobbs, J.A., Acuna, S., Kirsch, J.E., Mahardja, B., and Teh, S., 2021, Recruitment dynamics of non-native largemouth bass within the Sacramento-San Joaquin delta: Canadian Journal of Fisheries and Aquatic Sciences, v. 78, no. 5, p. 505-521, https://doi.org/10.1139/cjfas-2020-0241.","productDescription":"17 p.","startPage":"505","endPage":"521","ipdsId":"IP-120365","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":454053,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/cjfas-2020-0241","text":"Publisher Index Page"},{"id":385411,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin delta","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.32177734375,\n 37.82280243352756\n ],\n [\n -120.38818359375,\n 37.82280243352756\n ],\n [\n -120.38818359375,\n 39.11301365149975\n ],\n [\n -122.32177734375,\n 39.11301365149975\n ],\n [\n -122.32177734375,\n 37.82280243352756\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"78","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Huntsman, Brock 0000-0003-4090-1949","orcid":"https://orcid.org/0000-0003-4090-1949","contributorId":223101,"corporation":false,"usgs":true,"family":"Huntsman","given":"Brock","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":814978,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feyrer, Frederick V. 0000-0003-1253-2349 ffeyrer@usgs.gov","orcid":"https://orcid.org/0000-0003-1253-2349","contributorId":178379,"corporation":false,"usgs":true,"family":"Feyrer","given":"Frederick","email":"ffeyrer@usgs.gov","middleInitial":"V.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":814979,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Young, Matthew J. 0000-0001-9306-6866 mjyoung@usgs.gov","orcid":"https://orcid.org/0000-0001-9306-6866","contributorId":206255,"corporation":false,"usgs":true,"family":"Young","given":"Matthew","email":"mjyoung@usgs.gov","middleInitial":"J.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":814980,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hobbs, James A.","contributorId":171638,"corporation":false,"usgs":false,"family":"Hobbs","given":"James","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":814981,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Acuna, Shawn","contributorId":257756,"corporation":false,"usgs":false,"family":"Acuna","given":"Shawn","email":"","affiliations":[{"id":52106,"text":"Metropolitan Water District of Southern California","active":true,"usgs":false}],"preferred":false,"id":814982,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kirsch, Joseph E.","contributorId":196891,"corporation":false,"usgs":false,"family":"Kirsch","given":"Joseph","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":814983,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mahardja, Brian","contributorId":174645,"corporation":false,"usgs":false,"family":"Mahardja","given":"Brian","email":"","affiliations":[{"id":13461,"text":"U.C. Davis","active":true,"usgs":false}],"preferred":false,"id":814984,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Teh, Swee","contributorId":257757,"corporation":false,"usgs":false,"family":"Teh","given":"Swee","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":814985,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70217063,"text":"70217063 - 2021 - Hydrogeomorphological controls on reach‐scale distributions of cichlid nest sites in a small neotropical river","interactions":[],"lastModifiedDate":"2021-03-19T20:21:37.986406","indexId":"70217063","displayToPublicDate":"2020-12-20T06:41:12","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1471,"text":"Ecology of Freshwater Fish","active":true,"publicationSubtype":{"id":10}},"title":"Hydrogeomorphological controls on reach‐scale distributions of cichlid nest sites in a small neotropical river","docAbstract":"

The Cichlidae are among the most diversified families of fish in the Neotropics and represent an important component of aquatic biodiversity. Understanding cichlid nest‐site selection is important for assemblages facing uncertain futures due to species invasions and environmental change. This information could be used to predict how inter‐ and intraspecific competition for reproductive space may affect populations with changing community dynamics or to identify areas as targets for conservation. We investigated which hydrogeomorphological factors correlated to preferred nest sites of four native cichlid species in the Bladen River, Belize. We recorded the locations of nest sites and collected habitat data through the study reach, including flow velocity, depth, sediment type, fish cover type richness and distance to the bank. Nest locations and physical habitat data were used to construct spatially explicit habitat models using boosted regression trees (BRTs). The models provided statistically significant evidence that physical habitat variables influence the distribution of the nest sites. We found that all species except Archocentrus spilurus were associated with substrate, specifically sand. Thorichthys meeki was also associated with lower water velocities, whereas Cichlasoma salvini was influenced by all five variables. Vieja maculicauda and Archocentrus spilurus were both influenced by flow velocity, distance to bank and depth, although A. spilurus preferred deeper, slightly faster locations about the same distance to the bank. This study suggests that the spatial distribution of nest sites within this cichlid community is significantly different than random and is at least partially governed by physical controls.

","language":"English","publisher":"Wiley","doi":"10.1111/eff.12580","usgsCitation":"Buege, E.A., Esselman, P., and Praskievicz, S.J., 2021, Hydrogeomorphological controls on reach‐scale distributions of cichlid nest sites in a small neotropical river: Ecology of Freshwater Fish, v. 30, no. 2, p. 244-255, https://doi.org/10.1111/eff.12580.","productDescription":"12 p.","startPage":"244","endPage":"255","ipdsId":"IP-121602","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":381794,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Belize","otherGeospatial":"Monkey River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -89.132080078125,\n 16.251593732779515\n ],\n [\n -88.35205078124999,\n 16.251593732779515\n ],\n [\n -88.35205078124999,\n 17.13554114256562\n ],\n [\n -89.132080078125,\n 17.13554114256562\n ],\n [\n -89.132080078125,\n 16.251593732779515\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"30","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-12-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Buege, Emily A. 0000-0002-9141-529X","orcid":"https://orcid.org/0000-0002-9141-529X","contributorId":245987,"corporation":false,"usgs":false,"family":"Buege","given":"Emily","email":"","middleInitial":"A.","affiliations":[{"id":36730,"text":"University of Alabama","active":true,"usgs":false}],"preferred":false,"id":807454,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Esselman, Peter C. 0000-0002-0085-903X","orcid":"https://orcid.org/0000-0002-0085-903X","contributorId":204291,"corporation":false,"usgs":true,"family":"Esselman","given":"Peter C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":807455,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Praskievicz, Sarah J. 0000-0002-9380-7625","orcid":"https://orcid.org/0000-0002-9380-7625","contributorId":245989,"corporation":false,"usgs":false,"family":"Praskievicz","given":"Sarah","email":"","middleInitial":"J.","affiliations":[{"id":49396,"text":"University of North Carolina-Greensboro","active":true,"usgs":false}],"preferred":false,"id":807456,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70217066,"text":"70217066 - 2021 - Development of genetic baseline information to support the conservation and management of wild Brook Trout in North Carolina","interactions":[],"lastModifiedDate":"2021-06-30T17:41:53.333707","indexId":"70217066","displayToPublicDate":"2020-12-20T06:35:58","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Development of genetic baseline information to support the conservation and management of wild Brook Trout in North Carolina","docAbstract":"

Following centuries of declines, there is growing interest in conserving extant wild populations and reintroducing Brook Trout (Salvelinus fontinalis) populations of native ancestry. A population genetic baseline can enhance conservation outcomes and promote restoration success. Consequently, it is important to document existing patterns of genetic variation across the landscape and translate these data into an approachable format for fisheries managers. We genotyped 9,507 Brook Trout representing 467 wild collections at 12 microsatellite loci to establish a genetic baseline for North Carolina, USA. Rarefied allelic richness and observed heterozygosity, which reflect within‐population diversity, were low to moderate relative to levels typically observed at higher latitudes (means = 3.12 and 0.42, respectively). Effective population sizes varied widely, but were often very low (151 collections with an estimated Ne < 10). Despite decades of intensive stocking across the state, we found little to no evidence of hatchery introgression in most populations. Although genetic variation was significant at a variety of spatial scales (mean pairwise F’ST = 0.73), substantial genetic variation occurred between patches within individual watersheds. Analysis of molecular variance (AMOVA) found that a substantial portion (28.5%) of the observed genetic variation was attributed to differences among populations, with additional genetic variation among hydrological units (HUCs; 16.0%, 16.6%, 12.1%, and 9.4% of the overall variation among twelve‐, ten‐, eight‐, and six‐digit HUCs, respectively). We discuss a suite of potential applications for this type of genetic data to enhance management outcomes, such as conservation prioritization and selection of source stocks for reintroductions or genetic rescue.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10569","usgsCitation":"Kazyak, D., Lubinski, B.A., Rash, J.M., Johnson, T.C., and King, T.L., 2021, Development of genetic baseline information to support the conservation and management of wild Brook Trout in North Carolina: North American Journal of Fisheries Management, v. 41, no. 3, p. 626-638, https://doi.org/10.1002/nafm.10569.","productDescription":"13 p.","startPage":"626","endPage":"638","ipdsId":"IP-101589","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":381793,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.860595703125,\n 36.53612263184686\n ],\n [\n -81.7822265625,\n 36.63316209558658\n ],\n [\n -83.84765625,\n 35.460669951495305\n ],\n [\n -84.375,\n 35.02999636902566\n ],\n [\n -81.03515625,\n 35.28150065789119\n ],\n [\n -80.7275390625,\n 34.813803317113155\n ],\n [\n -79.4970703125,\n 34.813803317113155\n ],\n [\n -78.44238281249999,\n 33.797408767572485\n ],\n [\n -76.2451171875,\n 34.994003757575776\n ],\n [\n -75.7177734375,\n 35.817813158696616\n ],\n [\n -75.860595703125,\n 36.53612263184686\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"41","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-12-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Kazyak, David C. 0000-0001-9860-4045","orcid":"https://orcid.org/0000-0001-9860-4045","contributorId":202481,"corporation":false,"usgs":true,"family":"Kazyak","given":"David C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":807465,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lubinski, Barbara A. 0000-0003-3568-2569","orcid":"https://orcid.org/0000-0003-3568-2569","contributorId":202483,"corporation":false,"usgs":true,"family":"Lubinski","given":"Barbara","email":"","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":807466,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rash, Jacob M","contributorId":218128,"corporation":false,"usgs":false,"family":"Rash","given":"Jacob","email":"","middleInitial":"M","affiliations":[{"id":39760,"text":"Division of Inland Fisheries, North Carolina Wildlife Resources Commission","active":true,"usgs":false}],"preferred":false,"id":807467,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Thomas C","contributorId":245999,"corporation":false,"usgs":false,"family":"Johnson","given":"Thomas","email":"","middleInitial":"C","affiliations":[{"id":36454,"text":"North Carolina Wildlife Resources Commission","active":true,"usgs":false}],"preferred":false,"id":807468,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"King, Timothy L.","contributorId":199023,"corporation":false,"usgs":false,"family":"King","given":"Timothy","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":807469,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70218000,"text":"70218000 - 2021 - A global perspective on the influence of the COVID-19 pandemic on freshwater fish biodiversity","interactions":[],"lastModifiedDate":"2021-02-11T19:35:21.921623","indexId":"70218000","displayToPublicDate":"2020-12-19T13:31:30","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"A global perspective on the influence of the COVID-19 pandemic on freshwater fish biodiversity","docAbstract":"

The COVID-19 global pandemic and resulting effects on the economy and society (e.g., sheltering-in-place, alterations in transportation, changes in consumer behaviour, loss of employment) have yielded some benefits and risks to biodiversity. Here, we considered the ways the COVID-19 pandemic has influenced (or may influence) freshwater fish biodiversity (e.g., richness, abundance). In many cases, we could only consider potential impacts using documented examples (often from the media) of likely changes, because anecdotal observations are still emerging and data-driven studies are yet to be completed or even undertaken. We evaluated the potential for the pandemic to either mitigate or amplify widely acknowledged, pre-existing threats to freshwater fish biodiversity (i.e., invasive species, pollution, fragmentation, flow alteration, habitat loss and alteration, climate change, exploitation). Indeed, we identified examples spanning the extremes of positive and negative outcomes for almost all known threats. We also considered the pandemic's impact on freshwater fisheries demand, assessment, research, compliance monitoring, and management interventions (e.g., restoration), with disruptions being experienced in all domains. Importantly, we provide a forward-looking synthesis that considers the potential mechanisms and pathways by which the consequences of the pandemic may positively and negatively impact freshwater fishes over the longer term. We conclude with a candid assessment of the current management and policy responses and the extent to which they ensure freshwater fish populations and biodiversity are conserved for human and aquatic ecosystem benefits in perpetuity.

","language":"English","publisher":"Wiley","doi":"10.1016/j.biocon.2020.108932","usgsCitation":"Cooke, S.J., Twardek, W.M., Lynch, A.J., Cowx, I.G., Olden, J., Funge-Smith, S., Lorenzen, K., Arlinghaus, R., Chen, Y., Weyl, O.L., Nyboer, E.A., Pompeu, P.S., Carlson, S.M., Koehn, J.D., Pinder, A.C., Raghavan, R., Phang, S.C., Koning, A., Taylor, W., Bartley, D.M., and Britton, J.R., 2021, A global perspective on the influence of the COVID-19 pandemic on freshwater fish biodiversity: Biological Conservation, v. 253, https://doi.org/10.1016/j.biocon.2020.108932.","productDescription":"108932, 12 p.","startPage":"108932","ipdsId":"IP-122853","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":454056,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://linkinghub.elsevier.com/retrieve/pii/S0006320720309903","text":"External Repository"},{"id":383222,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"253","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cooke, Steve J.","contributorId":220492,"corporation":false,"usgs":false,"family":"Cooke","given":"Steve","email":"","middleInitial":"J.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":810177,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Twardek, William M.","contributorId":198272,"corporation":false,"usgs":false,"family":"Twardek","given":"William","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":810178,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lynch, Abigail J. 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":204271,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","middleInitial":"J.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":810179,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cowx, Ian G.","contributorId":37228,"corporation":false,"usgs":false,"family":"Cowx","given":"Ian","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":810214,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olden, Julian D.","contributorId":202893,"corporation":false,"usgs":false,"family":"Olden","given":"Julian D.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":810180,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Funge-Smith, Simon 0000-0001-9974-5333","orcid":"https://orcid.org/0000-0001-9974-5333","contributorId":245642,"corporation":false,"usgs":false,"family":"Funge-Smith","given":"Simon","email":"","affiliations":[{"id":32888,"text":"Food and Agriculture organization of the United Nations","active":true,"usgs":false}],"preferred":false,"id":810181,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lorenzen, Kai","contributorId":169476,"corporation":false,"usgs":false,"family":"Lorenzen","given":"Kai","email":"","affiliations":[{"id":12557,"text":"University of Florida, FLREC","active":true,"usgs":false}],"preferred":false,"id":810182,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Arlinghaus, Robert","contributorId":32425,"corporation":false,"usgs":false,"family":"Arlinghaus","given":"Robert","email":"","affiliations":[{"id":17980,"text":"Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany","active":true,"usgs":false}],"preferred":false,"id":810183,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Chen, Yushen","contributorId":250646,"corporation":false,"usgs":false,"family":"Chen","given":"Yushen","email":"","affiliations":[{"id":48136,"text":"Chinese Academy of Science","active":true,"usgs":false}],"preferred":false,"id":810184,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Weyl, Olaf L. F.","contributorId":250648,"corporation":false,"usgs":false,"family":"Weyl","given":"Olaf","email":"","middleInitial":"L. F.","affiliations":[{"id":48725,"text":"South African Institute for Aquatic Biodiversity","active":true,"usgs":false}],"preferred":false,"id":810185,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Nyboer, Elizabeth A.","contributorId":250650,"corporation":false,"usgs":false,"family":"Nyboer","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":810186,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Pompeu, Paulo S.","contributorId":203993,"corporation":false,"usgs":false,"family":"Pompeu","given":"Paulo","email":"","middleInitial":"S.","affiliations":[{"id":36790,"text":"Universidad Federal de Lavras, Department de Biologia","active":true,"usgs":false}],"preferred":false,"id":810187,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Carlson, Stephanie M.","contributorId":250652,"corporation":false,"usgs":false,"family":"Carlson","given":"Stephanie","email":"","middleInitial":"M.","affiliations":[{"id":6643,"text":"University of California - Berkeley","active":true,"usgs":false}],"preferred":false,"id":810188,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Koehn, John D.","contributorId":220481,"corporation":false,"usgs":false,"family":"Koehn","given":"John","email":"","middleInitial":"D.","affiliations":[{"id":27292,"text":"Arthur Rylah Institute for Environmental Research","active":true,"usgs":false}],"preferred":false,"id":810189,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Pinder, Adrian C.","contributorId":250654,"corporation":false,"usgs":false,"family":"Pinder","given":"Adrian","email":"","middleInitial":"C.","affiliations":[{"id":48716,"text":"Bournemouth University","active":true,"usgs":false}],"preferred":false,"id":810190,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Raghavan, Rajeev","contributorId":250656,"corporation":false,"usgs":false,"family":"Raghavan","given":"Rajeev","email":"","affiliations":[{"id":50216,"text":"Kerala University of Fisheries and Ocean Studies","active":true,"usgs":false}],"preferred":false,"id":810191,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Phang, Sui C.","contributorId":169462,"corporation":false,"usgs":false,"family":"Phang","given":"Sui","email":"","middleInitial":"C.","affiliations":[{"id":6714,"text":"Ohio State University, School of Earth Sciences, Columbus, Ohio, USA","active":true,"usgs":false}],"preferred":false,"id":810192,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Koning, Aaron A.","contributorId":250657,"corporation":false,"usgs":false,"family":"Koning","given":"Aaron A.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":810193,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Taylor, William W.","contributorId":49735,"corporation":false,"usgs":false,"family":"Taylor","given":"William W.","affiliations":[],"preferred":false,"id":810194,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Bartley, Devin M.","contributorId":15913,"corporation":false,"usgs":false,"family":"Bartley","given":"Devin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":810195,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Britton, J. Robert","contributorId":214429,"corporation":false,"usgs":false,"family":"Britton","given":"J.","email":"","middleInitial":"Robert","affiliations":[],"preferred":false,"id":810196,"contributorType":{"id":1,"text":"Authors"},"rank":21}]}} ,{"id":70229090,"text":"70229090 - 2021 - Effects of increased temperature on arctic slimy sculpin Cottus cognatus is mediated by food availability: Implications for climate change","interactions":[],"lastModifiedDate":"2022-02-28T14:36:00.422518","indexId":"70229090","displayToPublicDate":"2020-12-19T08:27:37","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Effects of increased temperature on arctic slimy sculpin Cottus cognatus is mediated by food availability: Implications for climate change","title":"Effects of increased temperature on arctic slimy sculpin Cottus cognatus is mediated by food availability: Implications for climate change","docAbstract":"
  1. Lakes are vulnerable to climate change, and warming rates in the Arctic are faster than anywhere on Earth. Fishes are sensitive to changing temperatures, which directly control physiological processes. Food availability should partly dictate responses to climate change because energetic demands change with temperature, but few studies have simultaneously examined temperature and food availability.
  2. We used a fully factorial experiment to test effects of food availability and temperature (7.6, 12.7, and 17.4°C; 50 days) on growth, consumption, respiration, and excretion, and effects of temperature (12 and 19.3°C; 27 days) on habitat use and growth of a common, but understudied, mid-level consumer, slimy sculpin Cottus cognatus, in arctic lakes. We also used bioenergetics modelling to predict consumptive demand under future warming scenarios.
  3. Growth rates were 3.4× higher at 12.7°C in high food compared to low food treatments, but the magnitude of differences depended on temperature. Within low food treatments, there was no statistical difference in growth rates among temperatures, suggesting food limitation. Consumption, respiration, and nitrogen excretion increased with temperature independent of food availability. Lower growth rates coincided with lower phosphorus excretion at the highest temperature, suggesting that fish selectively retained phosphorus at high temperatures and low food. In habitat choice experiments, fish were more likely to use the 12°C side of the tank, closely matching their optimal temperature. We predicted a 9% increase in consumption is required to maintain observed growth under a 4°C warming scenario.
  4. These results highlight considering changes in food resources and other associated indirect effects (e.g. excretion) that accompany changing temperatures with climate change. Depending on how food webs respond to warming, fish may cope with predicted warming if density-dependent feedback maintains population sizes.
","language":"English","publisher":"Wiley","doi":"10.1111/fwb.13659","usgsCitation":"Pennock, C., Budy, P., Atkinson, C., and Barrett, N., 2021, Effects of increased temperature on arctic slimy sculpin Cottus cognatus is mediated by food availability: Implications for climate change: Freshwater Biology, v. 66, no. 3, p. 549-561, https://doi.org/10.1111/fwb.13659.","productDescription":"13 p.","startPage":"549","endPage":"561","ipdsId":"IP-121940","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":396543,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Toolik Field Station","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -150.05401611328125,\n 68.32220458597388\n ],\n [\n -149.14764404296875,\n 68.32220458597388\n ],\n [\n -149.14764404296875,\n 68.67354240601256\n ],\n [\n -150.05401611328125,\n 68.67354240601256\n ],\n [\n -150.05401611328125,\n 68.32220458597388\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"66","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-12-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Pennock, Casey A.","contributorId":287044,"corporation":false,"usgs":false,"family":"Pennock","given":"Casey A.","affiliations":[{"id":28050,"text":"USU","active":true,"usgs":false}],"preferred":false,"id":836452,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Budy, Phaedra E. 0000-0002-9918-1678","orcid":"https://orcid.org/0000-0002-9918-1678","contributorId":228930,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":836451,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Atkinson, Carla","contributorId":287046,"corporation":false,"usgs":false,"family":"Atkinson","given":"Carla","affiliations":[{"id":40855,"text":"UA","active":true,"usgs":false}],"preferred":false,"id":836453,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barrett, Nick","contributorId":287048,"corporation":false,"usgs":false,"family":"Barrett","given":"Nick","email":"","affiliations":[{"id":28050,"text":"USU","active":true,"usgs":false}],"preferred":false,"id":836454,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70215497,"text":"70215497 - 2021 - Strategic habitat conservation for beach mice: Estimating management scenario efficiencies","interactions":[],"lastModifiedDate":"2023-07-07T14:12:25.874819","indexId":"70215497","displayToPublicDate":"2020-12-18T13:23:37","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Strategic habitat conservation for beach mice: Estimating management scenario efficiencies","docAbstract":"

The Perdido Key beach mouse (Peromyscus polionotus trissyllepsis), Choctawhatchee beach mouse (P. p. allophrys), and St. Andrew beach mouse (P. p. peninsularis) are 3 federally endangered subspecies that inhabit coastal dunes of Alabama and Florida, USA. Conservation opportunities for these subspecies are limited and costly. Consequently, well‐targeted efforts are required to achieve their downlisting criteria. To aid the development of targeted management scenarios that are designed to achieve downlisting criteria, we developed a Bayesian network model that uses habitat characteristics to predict the probability of beach mouse presence at a 30‐m resolution across a portion of the Florida Panhandle. We then designed alternative management scenarios for a variety of habitat conditions for coastal dunes. Finally, we estimated how much area is needed to achieve the established downlisting criterion (i.e., habitat objective) and the amount of effort needed to achieve the habitat objective (i.e., management efficiency). The results suggest that after 7 years of post‐storm recolonization, habitat objectives were met for Perdido Key (within its Florida critical habitat) and Choctawhatchee beach mice. The St. Andrew beach mouse required 5.14 km2 of additional critical habitat to be protected and occupied. The St. Andrew beach mouse habitat objective might be achieved by first restoring protected critical habitat to good dune conditions and then protecting or restoring the unprotected critical habitat with the highest predicted probability of beach mouse presence. This scenario provided a 28% increase in management efficiency compared to a scenario that randomly protected or restored undeveloped unprotected critical habitat. In total, when coupled with established downlisting criteria, these quantitative and spatial decision support tools could provide insight into how much habitat is available, how much more is needed, and targeted conservation or restoration efforts that might efficiently achieve habitat objectives.

","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.21983","usgsCitation":"Cronin, J.P., Tirpak, B., Dale, L.L., Robenski, V.L., Tirpak, J.M., and Marcot, B.G., 2021, Strategic habitat conservation for beach mice: Estimating management scenario efficiencies: Journal of Wildlife Management, v. 85, no. 2, p. 324-339, https://doi.org/10.1002/jwmg.21983.","productDescription":"16 p.; Data Release","startPage":"324","endPage":"339","ipdsId":"IP-113555","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":382514,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418750,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OWRTW8","text":"Data for Beach Mice Bayesian Network Model","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alabama, Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.2861328125,\n 29.76437737516313\n ],\n [\n -83.408203125,\n 29.76437737516313\n ],\n [\n -83.408203125,\n 30.939924331023445\n ],\n [\n -88.2861328125,\n 30.939924331023445\n ],\n [\n -88.2861328125,\n 29.76437737516313\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"85","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-12-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Cronin, James P. 0000-0001-6791-5828 jcronin@usgs.gov","orcid":"https://orcid.org/0000-0001-6791-5828","contributorId":5834,"corporation":false,"usgs":true,"family":"Cronin","given":"James","email":"jcronin@usgs.gov","middleInitial":"P.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":802499,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tirpak, Blair 0000-0002-2679-8378","orcid":"https://orcid.org/0000-0002-2679-8378","contributorId":206275,"corporation":false,"usgs":true,"family":"Tirpak","given":"Blair","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":802500,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dale, Leah L. 0000-0002-3480-9954","orcid":"https://orcid.org/0000-0002-3480-9954","contributorId":243547,"corporation":false,"usgs":false,"family":"Dale","given":"Leah","middleInitial":"L.","affiliations":[{"id":48726,"text":"Cherokee Nations Technology Solutions","active":true,"usgs":false}],"preferred":false,"id":802501,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robenski, Virginia L.","contributorId":243548,"corporation":false,"usgs":false,"family":"Robenski","given":"Virginia","middleInitial":"L.","affiliations":[{"id":48726,"text":"Cherokee Nations Technology Solutions","active":true,"usgs":false}],"preferred":false,"id":802502,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tirpak, John M.","contributorId":191024,"corporation":false,"usgs":false,"family":"Tirpak","given":"John","email":"","middleInitial":"M.","affiliations":[{"id":34307,"text":"U.S. Fish and Wildlife Service, Lafayette, LA, USA","active":true,"usgs":false}],"preferred":false,"id":802503,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Marcot, Bruce G.","contributorId":152612,"corporation":false,"usgs":false,"family":"Marcot","given":"Bruce","email":"","middleInitial":"G.","affiliations":[{"id":18944,"text":"Pacific Northwest Research Station, USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":802504,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70217059,"text":"70217059 - 2021 - Evidence for continental-scale dispersal of antimicrobial resistant bacteria by landfill-foraging gulls","interactions":[],"lastModifiedDate":"2020-12-31T12:57:39.015312","indexId":"70217059","displayToPublicDate":"2020-12-18T06:56:59","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"title":"Evidence for continental-scale dispersal of antimicrobial resistant bacteria by landfill-foraging gulls","docAbstract":"

Anthropogenic inputs into the environment may serve as sources of antimicrobial resistant bacteria and alter the ecology and population dynamics of synanthropic wild animals by providing supplemental forage. In this study, we used a combination of phenotypic and genomic approaches to characterize antimicrobial resistant indicator bacteria, animal telemetry to describe host movement patterns, and a novel modeling approach to combine information from these diverse data streams to investigate the acquisition and long-distance dispersal of antimicrobial resistant bacteria by landfill-foraging gulls. Our results provide evidence that gulls acquire antimicrobial resistant bacteria from anthropogenic sources, which they may subsequently disperse across and between continents via migratory movements. Furthermore, we introduce a flexible modeling framework to estimate the relative dispersal risk of antimicrobial resistant bacteria in western North America and adjacent areas within East Asia, which may be adapted to provide information on the risk of dissemination of other organisms and pathogens maintained by wildlife through space and time.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2020.144551","usgsCitation":"Ahlstrom, C., van Toor, M.L., Woksepp, H., Chandler, J.C., Reed, J., Reeves, A.B., Waldenström, J., Franklin, A.B., Douglas, D.C., Bonnedahl, J., and Ramey, A.M., 2021, Evidence for continental-scale dispersal of antimicrobial resistant bacteria by landfill-foraging gulls, v. 764, 144551, 10 p., https://doi.org/10.1016/j.scitotenv.2020.144551.","productDescription":"144551, 10 p.","ipdsId":"IP-118432","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":454059,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://digitalcommons.unl.edu/icwdm_usdanwrc/2401","text":"Publisher Index Page"},{"id":436609,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9U0XGI3","text":"USGS data release","linkHelpText":"Data for Continental-Scale Dispersal of Antimicrobial Resistant 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B.","contributorId":101999,"corporation":false,"usgs":false,"family":"Franklin","given":"Alan","email":"","middleInitial":"B.","affiliations":[{"id":12434,"text":"USDA, Wildlife Services, National Wildlife Research Center","active":true,"usgs":false}],"preferred":false,"id":807448,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":807449,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bonnedahl, Jonas","contributorId":181800,"corporation":false,"usgs":false,"family":"Bonnedahl","given":"Jonas","email":"","affiliations":[],"preferred":false,"id":807450,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"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":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":807451,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70217175,"text":"70217175 - 2021 - Identification of seasonal streamflow regimes and streamflow drivers for daily and peak flows in Alaska","interactions":[],"lastModifiedDate":"2021-02-17T22:12:21.749487","indexId":"70217175","displayToPublicDate":"2020-12-17T08:18:39","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":"Identification of seasonal streamflow regimes and streamflow drivers for daily and peak flows in Alaska","docAbstract":"

Alaska is among northern high‐latitude regions where accelerated climate change is expected to impact streamflow properties, including seasonality and primary flow drivers. Evaluating changes to streamflow, including flood characteristics, across this large and diverse environment can be improved by identifying the distribution and influence of flow drivers. Using metrics of mean monthly streamflow data from 253 streamgages, seasonal flow regimes were clustered to guide identification of seasonal‐flow drivers and form hydrologic groups for identification of peak‐flow populations. Nine seasonally distinct subclasses described variability within three classes dominated by (mostly fall) rainfall, (spring) snowmelt, and (summer) high‐elevation melt. The most glacierized basins exclusively grouped into high‐elevation melt subclasses, and less glacierized basins sometimes exhibited seasonal patterns aligned with rainfall‐ and snowmelt‐dominated regimes. Peak‐flow populations varied by subclass from dominant rainfall or dominant snowmelt to mixed rainfall‐snowmelt or mixed rainfall, snowmelt, and high‐elevation melt. Within subclasses, rainfall generated higher mean peak flows (relative to mean annual flow) than snowmelt or high‐elevation melt. Seasonal flow regimes showed clear but complex associations with basin characteristics, primarily elevation and winter temperature, and with geographic location. These dependencies provided elevation‐based analogies for changes associated with warming and insights for seasonal flow regime prediction and hydrologic region delineation. These results provide a spatially comprehensive perspective on seasonal streamflow drivers across Alaska from historical data and serve as an important historical basis for analysis.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020WR028425","usgsCitation":"Curran, J.H., and Biles, F.E., 2021, Identification of seasonal streamflow regimes and streamflow drivers for daily and peak flows in Alaska: Water Resources Research, v. 57, no. 2, ee2020WR028425, https://doi.org/10.1029/2020WR028425.","productDescription":"ee2020WR028425","ipdsId":"IP-119457","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":436611,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13TMJUP","text":"USGS data release","linkHelpText":"Selected Basin Boundaries for USGS Streamgages in Alaska through 2019"},{"id":436610,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90K2Y4R","text":"USGS data release","linkHelpText":"Streamgage Attributes, Basin Characteristics, and Seasonal Flow Regimes, Selected Streamgages in Alaska, 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Janet H. 0000-0002-3899-6275 jcurran@usgs.gov","orcid":"https://orcid.org/0000-0002-3899-6275","contributorId":690,"corporation":false,"usgs":true,"family":"Curran","given":"Janet","email":"jcurran@usgs.gov","middleInitial":"H.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":807827,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biles, Frances E. 0000-0002-7298-2811","orcid":"https://orcid.org/0000-0002-7298-2811","contributorId":247517,"corporation":false,"usgs":false,"family":"Biles","given":"Frances","email":"","middleInitial":"E.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":807828,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70217163,"text":"70217163 - 2021 - Characterizing physical properties of streambed interface sediments using in situ complex electrical conductivity measurements","interactions":[],"lastModifiedDate":"2021-02-17T21:51:47.504261","indexId":"70217163","displayToPublicDate":"2020-12-17T08:11:24","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":"Characterizing physical properties of streambed interface sediments using in situ complex electrical conductivity measurements","docAbstract":"

Streambed sediment physical properties such as surface area, are difficult to quantify in situ but exert a high‐level control on a wide range of biogeochemical processes and sorption of contaminants. We introduce the use of complex electrical conductivity (CC) methods (also known as spectral induced polarization (SIP)) that measure both real and imaginary conductivity to non‐invasively and efficiently characterize shallow streambed sediments. We explore the method through synthetic modeling, laboratory, and field measurements to demonstrate the sensitivity of imaginary conductivity to sediment surface area, controlled in part by fine‐grained iron oxides produced by anoxic groundwater discharge. Laboratory measurements verify expected relationships between CC parameters and sediment properties. Synthetic modeling using a 1D analytical model illustrates the influence of water layer depth and conductivity on the field CC measurements made at the streambed‐stream water interface. Specifically, the inverted sediment imaginary conductivity is less impacted by uncertainty in the water layer depth and conductivity relative to the real conductivity and phase shift. Field CC measurements along a landfill‐impacted river reveal discrete streambed zones with enhanced bulk surface area generally corresponding to anoxic groundwater discharges zones with high concentrations of fine‐grained iron oxide precipitates.

","language":"English","publisher":"Wiley","doi":"10.1029/2020WR027995","usgsCitation":"Wang, C., Briggs, M.A., Day-Lewis, F., and Slater, L., 2021, Characterizing physical properties of streambed interface sediments using in situ complex electrical conductivity measurements: Water Resources Research, v. 57, no. 21, ee2020WR027995, https://doi.org/10.1029/2020WR027995.","productDescription":"ee2020WR027995","ipdsId":"IP-123328","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":454062,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.osti.gov/biblio/1786827","text":"Publisher Index Page"},{"id":382018,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"21","noUsgsAuthors":false,"publicationDate":"2021-02-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Cheng-Hui 0000-0001-9508-7425","orcid":"https://orcid.org/0000-0001-9508-7425","contributorId":194062,"corporation":false,"usgs":false,"family":"Wang","given":"Cheng-Hui","email":"","affiliations":[],"preferred":false,"id":807796,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Martin A. 0000-0003-3206-4132 mbriggs@usgs.gov","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":4114,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin","email":"mbriggs@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":807797,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Day-Lewis, Frederick 0000-0003-3526-886X","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":216359,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":807798,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Slater, L. 0000-0003-0292-746X","orcid":"https://orcid.org/0000-0003-0292-746X","contributorId":247506,"corporation":false,"usgs":false,"family":"Slater","given":"L.","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":807799,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70217104,"text":"70217104 - 2021 - Tungsten skarn mineral resource assessment of the Great Basin region of western Nevada and eastern California","interactions":[],"lastModifiedDate":"2021-02-17T22:15:32.622555","indexId":"70217104","displayToPublicDate":"2020-12-17T07:12:55","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2302,"text":"Journal of Geochemical Exploration","active":true,"publicationSubtype":{"id":10}},"title":"Tungsten skarn mineral resource assessment of the Great Basin region of western Nevada and eastern California","docAbstract":"

A new quantitative mineral resource assessment for tungsten, a critical mineral commodity with highly concentrated production and a moderate risk of global supply disruption, was conducted for the Great Basin region of western Nevada and eastern California. This assessment was part of a larger effort focusing on three regions in the United States and represents the first study of domestic tungsten resources and mineral potential in over twenty years. By integrating geology, bedrock and stream sediment geochemistry, geophysics, and remote sensing data with recently developed software tools and analyses, estimates of undiscovered tungsten skarn deposits in permissive tracts are combined with grade and tonnage distributions of known deposits to generate probabilistic estimates of undiscovered resources. Identified resources in the Great Basin region total 168 thousand metric tons (kt) of tungsten trioxide (WO3), including 116 kt of past production and 52 kt remaining in place. Consistent with the historic significance of the Great Basin region as a past producer containing a large portion of U.S. identified resources, undiscovered resources are likely to occur adjacent to known deposits and prospects and at unexplored depths. Undiscovered deposits are estimated to contain median resources of 940 kt of WO3 with a 90% probability of at least 420 kt and a 10% probability of at least 1.7 million metric tons (Mt), of which 240 kt to 1.1 Mt may be economic to extract. Based on a 20-year average price, median recoverable undiscovered resources are estimated at 570 kt WO3 equivalent with a net present value of $3 billion U.S. dollars. The methods, data, results, and economic significance of the assessment contribute to a scientific understanding of a critical mineral resource with direct implications for policy and land management decisions.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.gexplo.2020.106712","usgsCitation":"Lederer, G.W., Solano, F., Coyan, J.A., Denton, K., Watts, K., Mercer, C.N., Bickerstaff, D., and Granitto, M., 2021, Tungsten skarn mineral resource assessment of the Great Basin region of western Nevada and eastern California: Journal of Geochemical Exploration, v. 223, 106712, 24 p., https://doi.org/10.1016/j.gexplo.2020.106712.","productDescription":"106712, 24 p.","ipdsId":"IP-119992","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":488120,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gexplo.2020.106712","text":"Publisher Index Page"},{"id":436615,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9D1KQGR","text":"USGS data release","linkHelpText":"Tungsten skarn mineral resource assessment of the Great Basin region of western Nevada and eastern California - Geodatabase"},{"id":436614,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9D1KQGR","text":"USGS data release","linkHelpText":"Tungsten skarn mineral resource assessment of the Great Basin region of western Nevada and eastern California - Geodatabase"},{"id":436613,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RD6SEF","text":"USGS data release","linkHelpText":"Tungsten skarn mineral resource assessment of the Great Basin region of western Nevada and eastern California - Simulation results"},{"id":436612,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RD6SEF","text":"USGS data release","linkHelpText":"Tungsten skarn mineral resource assessment of the Great Basin region of western Nevada and eastern California - Simulation results"},{"id":381941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Nevada","otherGeospatial":"Great Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.86083984375,\n 35.7286770448517\n ],\n [\n -116.27929687499999,\n 35.7286770448517\n ],\n [\n -116.27929687499999,\n 42.261049162113856\n ],\n [\n -119.86083984375,\n 42.261049162113856\n ],\n [\n -119.86083984375,\n 35.7286770448517\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"223","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lederer, Graham W. 0000-0002-9505-9923","orcid":"https://orcid.org/0000-0002-9505-9923","contributorId":202407,"corporation":false,"usgs":true,"family":"Lederer","given":"Graham","email":"","middleInitial":"W.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":807619,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Solano, Federico 0000-0002-0308-5850","orcid":"https://orcid.org/0000-0002-0308-5850","contributorId":213145,"corporation":false,"usgs":true,"family":"Solano","given":"Federico","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":807620,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coyan, Joshua Aaron 0000-0002-8450-7364","orcid":"https://orcid.org/0000-0002-8450-7364","contributorId":247291,"corporation":false,"usgs":true,"family":"Coyan","given":"Joshua","email":"","middleInitial":"Aaron","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":807621,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Denton, Kevin 0000-0001-9604-4021","orcid":"https://orcid.org/0000-0001-9604-4021","contributorId":207718,"corporation":false,"usgs":true,"family":"Denton","given":"Kevin","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":807622,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Watts, Kathryn E. 0000-0002-6110-7499","orcid":"https://orcid.org/0000-0002-6110-7499","contributorId":204344,"corporation":false,"usgs":true,"family":"Watts","given":"Kathryn E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":807623,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mercer, Celestine N. 0000-0001-8359-4147 cmercer@usgs.gov","orcid":"https://orcid.org/0000-0001-8359-4147","contributorId":4006,"corporation":false,"usgs":true,"family":"Mercer","given":"Celestine","email":"cmercer@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":807624,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bickerstaff, Damon 0000-0003-0887-9761","orcid":"https://orcid.org/0000-0003-0887-9761","contributorId":201974,"corporation":false,"usgs":true,"family":"Bickerstaff","given":"Damon","email":"","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":807625,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Granitto, Matthew 0000-0003-3445-4863 granitto@usgs.gov","orcid":"https://orcid.org/0000-0003-3445-4863","contributorId":1224,"corporation":false,"usgs":true,"family":"Granitto","given":"Matthew","email":"granitto@usgs.gov","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":807626,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70218028,"text":"70218028 - 2021 - Upper Colorado River Basin 20th century droughts under 21st century warming: Plausible scenarios for the future","interactions":[],"lastModifiedDate":"2021-02-12T13:08:41.150759","indexId":"70218028","displayToPublicDate":"2020-12-17T07:04:16","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5567,"text":"Climate Services","active":true,"publicationSubtype":{"id":10}},"title":"Upper Colorado River Basin 20th century droughts under 21st century warming: Plausible scenarios for the future","docAbstract":"

This study builds on a collaboration with a water resource management community of practice in the Upper Colorado River Basin to develop scenarios of future drought and assess impacts on water supply reliability. Water managers are concerned with the impacts of warming on water year streamflow, but uncertainties in projections of climate make the application of these projections to planning a challenge. Instead, water managers considered a plausible scenario for future drought to be historical droughts to which warming is added. We used a simple statistical model of water year streamflow with temperatures increased by 1 °C to 4 °C, and then examined reductions in flow and runoff efficiency (RE) with each degree of warming for the six droughts defined in the observed streamflow record. In order to place these results into a management context, we employed an existing framework for system reliability, and in particular, a vulnerability assessment for water delivery metrics. Using modeled streamflow resulting from 1 °C to 4 °C warming, we found vulnerable condition thresholds for the two water delivery metrics assessed, Upper Basin Shortage and Lees Ferry Deficit, were crossed relatively infrequently at +1 °C, but with a substantially increased frequency under additional warming. Results are more relevant to resource management because the impacts of warming on Upper Colorado River streamflow were assessed in the context of management metrics and vulnerability thresholds, in collaboration with members of the water management community of practice.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.cliser.2020.100206","usgsCitation":"Woodhouse, C.A., Smith, R.M., McAfee, S., Pederson, G.T., McCabe, G.J., Miller, W.P., and Csank, A., 2021, Upper Colorado River Basin 20th century droughts under 21st century warming: Plausible scenarios for the future: Climate Services, v. 21, 100206, 11 p., https://doi.org/10.1016/j.cliser.2020.100206.","productDescription":"100206, 11 p.","ipdsId":"IP-118594","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":454065,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.cliser.2020.100206","text":"Publisher Index Page"},{"id":383249,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming, Utah, Colorado, New Mexico, Arizona","otherGeospatial":"Upper Colorado River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.0498046875,\n 44.731125592643274\n ],\n [\n -111.1376953125,\n 42.114523952464246\n ],\n [\n -112.78564453124999,\n 41.902277040963696\n ],\n [\n -112.6318359375,\n 38.03078569382294\n ],\n [\n -111.9287109375,\n 36.756490329505176\n ],\n [\n -110.1708984375,\n 35.8356283888737\n ],\n [\n -106.63330078125,\n 35.55010533588552\n ],\n [\n -106.787109375,\n 35.88905007936091\n ],\n [\n -104.83154296875,\n 38.77121637244273\n ],\n [\n -104.96337890625,\n 40.93011520598305\n ],\n [\n -111.0498046875,\n 44.731125592643274\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Woodhouse, Connie A.","contributorId":187601,"corporation":false,"usgs":false,"family":"Woodhouse","given":"Connie","email":"","middleInitial":"A.","affiliations":[{"id":32413,"text":"University of Arizona, Tucson, AZ, USA, 85721","active":true,"usgs":false}],"preferred":false,"id":810260,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Rebecca M.","contributorId":250719,"corporation":false,"usgs":false,"family":"Smith","given":"Rebecca","email":"","middleInitial":"M.","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":810261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McAfee, Stephanie A.","contributorId":167115,"corporation":false,"usgs":false,"family":"McAfee","given":"Stephanie A.","affiliations":[{"id":24618,"text":"Department of Geography, University of Nevada, Reno, Reno, NV","active":true,"usgs":false}],"preferred":false,"id":810262,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pederson, Gregory T. 0000-0002-6014-1425 gpederson@usgs.gov","orcid":"https://orcid.org/0000-0002-6014-1425","contributorId":3106,"corporation":false,"usgs":true,"family":"Pederson","given":"Gregory","email":"gpederson@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":810263,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":200854,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory","email":"gmccabe@usgs.gov","middleInitial":"J.","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},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":810264,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, W. Paul","contributorId":250720,"corporation":false,"usgs":false,"family":"Miller","given":"W.","email":"","middleInitial":"Paul","affiliations":[{"id":50235,"text":"NOAA Colorado River Forecast Center","active":true,"usgs":false}],"preferred":false,"id":810265,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Csank, Adam","contributorId":191067,"corporation":false,"usgs":false,"family":"Csank","given":"Adam","email":"","affiliations":[],"preferred":false,"id":810266,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70222932,"text":"70222932 - 2021 - The normal faulting 2020 Mw5.8 Lone Pine, Eastern California earthquake sequence","interactions":[],"lastModifiedDate":"2021-08-10T14:45:36.085592","indexId":"70222932","displayToPublicDate":"2020-12-16T09:35:41","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The normal faulting 2020 Mw5.8 Lone Pine, Eastern California earthquake sequence","title":"The normal faulting 2020 Mw5.8 Lone Pine, Eastern California earthquake sequence","docAbstract":"

The 2020 Mw\">Mw 5.8 Lone Pine earthquake, the largest earthquake on the Owens Valley fault zone, eastern California, since the nineteenth century, ruptured an extensional stepover in that fault. Owens Valley separates two normal‐faulting regimes, the western margin of the Great basin and the eastern margin of the Sierra Nevada, forming a complex seismotectonic zone, and a possible nascent plate boundary. Foreshocks began on 22 June 2020; the largest Mw\">Mw 4.7 foreshock occurred at &#x223C;6&#x2009;&#x2009;km\">∼6  km depth, with primarily normal faulting, followed &#x223C;40&#x2009;&#x2009;hr\">∼40  hr later on 24 June 2020 by an Mw\">Mw 5.8 mainshock at &#x223C;7&#x2009;&#x2009;km\">∼7  km depth. The sequence caused overlapping ruptures across a &#x223C;0.25&#x2009;&#x2009;km2\">∼0.25  km2 area, extended to &#x223C;4&#x2009;&#x2009;km2\">∼4  km2, and culminated in an &#x223C;25&#x2009;&#x2009;km2\">∼25  km2 aftershock area. The mainshock was predominantly normal faulting, with a strike of 330° (north‐northwest), dipping 60°–65° to the east‐northeast. Comparison of background seismicity and 2020 Ridgecrest aftershock rates showed that this earthquake was not an aftershock of the Ridgecrest mainshock. The Mw\">Mw Mw&#x2013;mB\">– mB relationship and distribution of ground motions suggest typical rupture speeds. The aftershocks form a north‐northwest‐trending, north‐northeast‐dipping, 5 km long distribution, consistent with the rupture length estimated from analysis of regional waveform data. No surface rupture was reported along the 1872 scarps from the 2020 Mw\">Mw 5.8 mainshock, although, the dipping rupture zone of the Mw\">Mw 5.8 mainshock projects to the surface in the general area. The mainshock seismic energy triggered rockfalls at high elevations (⁠&gt;3.0&#x2009;&#x2009;km\">>3.0  km⁠) in the Sierra Nevada, at distances of 8–20 km, and liquefaction along the western edge of Owens Lake. Because there were &#x223C;30%\">∼30% fewer aftershocks than for an average southern California sequence, the aftershock forecast probabilities were lower than expected. ShakeAlert, the earthquake early warning system, provided first warning within 9.9 s, as well as subsequent updates.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220200324","usgsCitation":"Hauksson, E., Olsen, B.J., Grant, A.R., Andrews, J.R., Chung, A.I., Hough, S.E., Kanamori, H., McBride, S., Michael, A.J., Page, M.T., Ross, Z.E., Smith, D., and Valkaniotis, S., 2021, The normal faulting 2020 Mw5.8 Lone Pine, Eastern California earthquake sequence: Seismological Research Letters, v. 92, no. 2A, p. 679-698, https://doi.org/10.1785/0220200324.","productDescription":"20 p.","startPage":"679","endPage":"698","ipdsId":"IP-123607","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":387813,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n 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0000-0002-8062-6542","orcid":"https://orcid.org/0000-0002-8062-6542","contributorId":206933,"corporation":false,"usgs":true,"family":"McBride","given":"Sara K.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":820861,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Michael, Andrew J. 0000-0002-2403-5019 michael@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-5019","contributorId":1280,"corporation":false,"usgs":true,"family":"Michael","given":"Andrew","email":"michael@usgs.gov","middleInitial":"J.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":820862,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Page, Morgan T. 0000-0001-9321-2990 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Center","active":true,"usgs":true}],"preferred":true,"id":820865,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Valkaniotis, Sotiris 0000-0003-0003-2902","orcid":"https://orcid.org/0000-0003-0003-2902","contributorId":263438,"corporation":false,"usgs":false,"family":"Valkaniotis","given":"Sotiris","email":"","affiliations":[{"id":53986,"text":"Koronidos","active":true,"usgs":false}],"preferred":false,"id":820866,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70230052,"text":"70230052 - 2021 - Evidence of post-breeding prospecting in a long-distance migrant.","interactions":[],"lastModifiedDate":"2022-03-28T13:59:59.515137","indexId":"70230052","displayToPublicDate":"2020-12-16T08:52:38","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":"Evidence of post-breeding prospecting in a long-distance migrant.","docAbstract":"
  1. Organisms assess biotic and abiotic cues at multiple sites when deciding where to settle. However, due to temporal constraints on this prospecting, the suitability of available habitat may be difficult for an individual to assess when cues are most reliable, or at the time they are making settlement decisions. For migratory birds, the postbreeding season may be the optimal time to prospect and inform settlement decisions for future breeding seasons.
  2. We investigated the fall movements of flammulated owls (Psiloscops flammeolus) within breeding habitat after fledglings had gained independence and before adults left for migration. From 2013 to 2016, we trapped owls within a breeding population wherein all nesting owls and their young have been banded since 1981. We used stable isotopes in combination with mark–recapture data to identify local individuals and differentiate potential prospecting behavior from other seasonal movements such as migration or staging.
  3. We commonly captured owls in the fall—predominantly hatch-year owls—that were not known residents of the study area. Several of these nonresident owls were later found breeding within the study area. Stable isotope data suggested a local origin for virtually all owls captured during the fall.
  4. Our results suggest that hatch-year flammulated owls, but also some after-hatch-year owls, use the period between the breeding season and fall migration to prospect for future breeding sites. The timing of this behavior is likely driven by seasonally variable costs associated with prospecting.
  5. Determining the timing of prospecting and the specific cues that are being assessed will be important in helping predict the extent to which climate change and/or altered disturbance regimes will modify the ecology, behavior, and demographics associated with prospecting.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.7085","usgsCitation":"Ciaglo, M., Calhoun, R., Yanco, S.W., Wunder, M., Stricker, C.A., and Linkhart, B.D., 2021, Evidence of post-breeding prospecting in a long-distance migrant.: Ecology and Evolution, v. 11, p. 599-611, https://doi.org/10.1002/ece3.7085.","productDescription":"13 p.","startPage":"599","endPage":"611","ipdsId":"IP-119113","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":454069,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.7085","text":"Publisher Index Page"},{"id":397699,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Pike National Forest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -105.3,\n 39.150\n ],\n [\n -105,\n 39.150\n ],\n [\n -105,\n 39\n ],\n [\n -105.3,\n 39\n ],\n [\n -105.3,\n 39.150\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","noUsgsAuthors":false,"publicationDate":"2020-12-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Ciaglo, Max","contributorId":289314,"corporation":false,"usgs":false,"family":"Ciaglo","given":"Max","email":"","affiliations":[{"id":37163,"text":"Colorado College","active":true,"usgs":false}],"preferred":false,"id":838903,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Calhoun, Ross","contributorId":289315,"corporation":false,"usgs":false,"family":"Calhoun","given":"Ross","email":"","affiliations":[{"id":37163,"text":"Colorado College","active":true,"usgs":false}],"preferred":false,"id":838904,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yanco, Scott W","contributorId":289316,"corporation":false,"usgs":false,"family":"Yanco","given":"Scott","email":"","middleInitial":"W","affiliations":[{"id":16824,"text":"University of Colorado Denver","active":true,"usgs":false}],"preferred":false,"id":838905,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wunder, Michael B.","contributorId":80599,"corporation":false,"usgs":false,"family":"Wunder","given":"Michael B.","affiliations":[{"id":6674,"text":"Department of Integrative Biology, University of Colorado Denver","active":true,"usgs":false}],"preferred":false,"id":838906,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stricker, Craig A. 0000-0002-5031-9437 cstricker@usgs.gov","orcid":"https://orcid.org/0000-0002-5031-9437","contributorId":1097,"corporation":false,"usgs":true,"family":"Stricker","given":"Craig","email":"cstricker@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":838907,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Linkhart, Brian D","contributorId":289318,"corporation":false,"usgs":false,"family":"Linkhart","given":"Brian","email":"","middleInitial":"D","affiliations":[{"id":37163,"text":"Colorado College","active":true,"usgs":false}],"preferred":false,"id":838908,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70221664,"text":"70221664 - 2021 - Self-limitation of sand storage in a bedrock-canyon river arising from the interaction of flow and grain size","interactions":[],"lastModifiedDate":"2021-06-28T13:19:02.912455","indexId":"70221664","displayToPublicDate":"2020-12-16T08:13:43","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6503,"text":"Journal of Geophysical Research Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Self-limitation of sand storage in a bedrock-canyon river arising from the interaction of flow and grain size","docAbstract":"

Bedrock-canyon rivers tend to be supply limited because they are efficient transporters of sediment and not because the upstream supply of sediment is small. A byproduct of this supply limitation is that the finer alluvium stored in these rivers has shorter residence times and smaller volumes than in alluvial rivers. To improve our understanding of disequilibrium sediment transport and its effect on sand storage in bedrock-canyon rivers, we undertook a 20-year study, synthesized herein, of the Colorado River in Grand Canyon. Despite the large loads for which it was renowned, this river exhibited evidence of natural sand-supply limitation and became the perfect natural laboratory for studying sand transport in a bedrock canyon after upstream dam construction exacerbated this supply limitation. During our study, we made and analyzed an unprecedented ∼2.5 million measurements of the suspended and bed sediment. Results indicate that sand storage in this bedrock-canyon river is self-limiting owing to the physical controls of flow and grain size causing negative feedbacks that likely also operate in other bedrock-canyon rivers. Following episodic tributary floods that supply finer sand, sand migrates quickly downstream in the form of a wave in which large systematic changes in bed-sand grain size occur. These grain-size changes cause discharge-independent systematic changes in suspended-sand concentration in excess of a factor of 20. Although the tributary supply of sand increases the amount of sand storage, it also greatly increases the downstream sand transport by causing bed-sand fining, thus limiting the residence time and volume of sand storage.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020JF005565","usgsCitation":"Topping, D.J., Grams, P.E., Griffiths, R.E., Dean, D.J., Wright, S., and Unema, J., 2021, Self-limitation of sand storage in a bedrock-canyon river arising from the interaction of flow and grain size: Journal of Geophysical Research Earth Surface, v. 126, no. 5, e2020JF005565, 37 p., https://doi.org/10.1029/2020JF005565.","productDescription":"e2020JF005565, 37 p.","ipdsId":"IP-116365","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":386789,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.25781249999999,\n 35.42486791930558\n ],\n [\n -110.30273437499997,\n 35.42486791930558\n ],\n [\n -110.30273437499997,\n 37.020098201368114\n ],\n [\n -114.25781249999999,\n 37.020098201368114\n ],\n [\n -114.25781249999999,\n 35.42486791930558\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"126","issue":"5","noUsgsAuthors":false,"publicationDate":"2021-05-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Topping, David J. 0000-0002-2104-4577 dtopping@usgs.gov","orcid":"https://orcid.org/0000-0002-2104-4577","contributorId":140985,"corporation":false,"usgs":true,"family":"Topping","given":"David","email":"dtopping@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":818381,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grams, Paul E. 0000-0002-0873-0708","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":216115,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":818382,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Griffiths, Ronald E. 0000-0003-3620-2926 rgriffiths@usgs.gov","orcid":"https://orcid.org/0000-0003-3620-2926","contributorId":162,"corporation":false,"usgs":true,"family":"Griffiths","given":"Ronald","email":"rgriffiths@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":818383,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dean, David J. 0000-0003-0203-088X djdean@usgs.gov","orcid":"https://orcid.org/0000-0003-0203-088X","contributorId":131047,"corporation":false,"usgs":true,"family":"Dean","given":"David","email":"djdean@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":818384,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wright, Scott 0000-0002-0387-5713 sawright@usgs.gov","orcid":"https://orcid.org/0000-0002-0387-5713","contributorId":1536,"corporation":false,"usgs":true,"family":"Wright","given":"Scott","email":"sawright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":818385,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Unema, Joel A. 0000-0002-7428-219X","orcid":"https://orcid.org/0000-0002-7428-219X","contributorId":260659,"corporation":false,"usgs":true,"family":"Unema","given":"Joel A.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":818386,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70217283,"text":"70217283 - 2021 - Effects of postfire climate and seed availability on postfire conifer regeneration","interactions":[],"lastModifiedDate":"2021-04-08T14:32:59.021108","indexId":"70217283","displayToPublicDate":"2020-12-16T08:08:36","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Effects of postfire climate and seed availability on postfire conifer regeneration","docAbstract":"

Large, severe fires are becoming more frequent in many forest types across the western United States and have resulted in tree mortality across tens of thousands of hectares. Conifer regeneration in these areas is limited because seeds must travel long distances to reach the interior of large burned patches and establishment is jeopardized by increasingly hot and dry conditions. To better inform postfire management in low elevation forests of California, USA, we collected 5‐year postfire recovery data from 1,234 study plots in 19 wildfires that burned from 2004–2012 and 18 years of seed production data from 216 seed fall traps (1999–2017). We used this data in conjunction with spatially extensive estimates of climate, topography, forest composition, and burn severity to construct taxon‐specific, spatially explicit models of conifer regeneration that incorporate estimated climate conditions and seed availability during postfire recovery windows. We found that after accounting for other predictors both postfire and historical precipitation were strong predictors of regeneration, suggesting that both direct effects of postfire moisture conditions and biological inertia from historical climate may play a role in regeneration. Alternatively, postfire regeneration may simply be driven by postfire climate and apparent relationships with historical climate could be spurious. The estimated sensitivity of regeneration to postfire seed availability was strongest in firs and all conifers combined and weaker in pines. Seed production exhibited high temporal variability with seed production varying by over two orders of magnitude among years. Our models indicate that during droughts postfire conifer regeneration declines most substantially in low‐to‐moderate elevation forests. These findings enhance our mechanistic understanding of forecasted and historically documented shifts in the distribution of trees.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2280","usgsCitation":"Stewart, J.A., van Mantgem, P., Young, D., Shive, K.L., Preisler, H.K., Das, A., Stephenson, N.L., Keeley, J., Safford, H.D., Wright, M., Welch, K.R., and Thorne, J.H., 2021, Effects of postfire climate and seed availability on postfire conifer regeneration: Ecological Applications, v. 31, no. 3, e02280, 14 p., https://doi.org/10.1002/eap.2280.","productDescription":"e02280, 14 p.","ipdsId":"IP-121920","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":436621,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CCBJ6M","text":"USGS data release","linkHelpText":"poscrptR"},{"id":436620,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9CCBJ6M","text":"USGS data release","linkHelpText":"poscrptR"},{"id":436619,"rank":0,"type":{"id":30,"text":"Data 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N","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":808269,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shive, Kristen L.","contributorId":194877,"corporation":false,"usgs":false,"family":"Shive","given":"Kristen","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":808270,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Preisler, Haiganoush K.","contributorId":149862,"corporation":false,"usgs":false,"family":"Preisler","given":"Haiganoush","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":808271,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Das, Adrian 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":201236,"corporation":false,"usgs":true,"family":"Das","given":"Adrian","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":808272,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":808273,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Keeley, Jon 0000-0002-4564-6521","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":216485,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":808274,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Safford, Hugh D.","contributorId":229058,"corporation":false,"usgs":false,"family":"Safford","given":"Hugh","email":"","middleInitial":"D.","affiliations":[{"id":41570,"text":"Department of Environmental Science and Policy, University of California, Davis, Davis, CA, 95616, USA","active":true,"usgs":false}],"preferred":false,"id":808275,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wright, Micah C. 0000-0002-5324-1110","orcid":"https://orcid.org/0000-0002-5324-1110","contributorId":229071,"corporation":false,"usgs":true,"family":"Wright","given":"Micah","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":808276,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Welch, Kevin R","contributorId":247753,"corporation":false,"usgs":false,"family":"Welch","given":"Kevin","email":"","middleInitial":"R","affiliations":[{"id":49640,"text":"Calfire","active":true,"usgs":false}],"preferred":false,"id":808277,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Thorne, James H.","contributorId":139144,"corporation":false,"usgs":false,"family":"Thorne","given":"James","email":"","middleInitial":"H.","affiliations":[{"id":12659,"text":"U C Davis","active":true,"usgs":false}],"preferred":false,"id":808278,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70222574,"text":"70222574 - 2021 - Numerical simulations of the geospace response to the arrival of an idealized perfect interplanetary coronal mass ejection","interactions":[],"lastModifiedDate":"2021-08-05T12:44:43.270977","indexId":"70222574","displayToPublicDate":"2020-12-16T07:38:34","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3456,"text":"Space Weather","active":true,"publicationSubtype":{"id":10}},"title":"Numerical simulations of the geospace response to the arrival of an idealized perfect interplanetary coronal mass ejection","docAbstract":"

Previously, Tsurutani and Lakhina (2014, https://doi.org/10.1002/2013GL058825) created estimates for a “perfect” interplanetary coronal mass ejection and performed simple calculations for the response of geospace, including \"urn:x-wiley:15427390:media:swe21087:swe21087-math-0001\". In this study, these estimates are used to drive a coupled magnetohydrodynamic-ring current-ionosphere model of geospace to obtain more physically accurate estimates of the geospace response to such an event. The sudden impulse phase is examined and compared to the estimations of Tsurutani and Lakhina (2014, https://doi.org/10.1002/2013GL058825). The physics-based simulation yields similar estimates for Dst rise, magnetopause compression, and equatorial \"urn:x-wiley:15427390:media:swe21087:swe21087-math-0002\" values as the previous study. However, results diverge away from the equator. \"urn:x-wiley:15427390:media:swe21087:swe21087-math-0003\" values in excess of 30 nT/s are found as low as \"urn:x-wiley:15427390:media:swe21087:swe21087-math-0004\" magnetic latitude. Under southward interplanetary magnetic field conditions, magnetopause erosion combines with strong region one Birkeland currents to intensify the \"urn:x-wiley:15427390:media:swe21087:swe21087-math-0005\" response. Values obtained here surpass those found in historically recorded events and set the upper threshold of extreme geomagnetically induced current activity at Earth.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020SW002489","usgsCitation":"Welling, D.T., Love, J.J., Rigler, E.J., Oliveira, D.M., Komar, C.M., and Morley, S., 2021, Numerical simulations of the geospace response to the arrival of an idealized perfect interplanetary coronal mass ejection: Space Weather, v. 19, no. 2, e2020SW002489, 15 p., https://doi.org/10.1029/2020SW002489.","productDescription":"e2020SW002489, 15 p.","ipdsId":"IP-120102","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":454073,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2020sw002489","text":"Publisher Index Page"},{"id":387708,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-02-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Welling, Daniel T. 0000-0002-0590-1022","orcid":"https://orcid.org/0000-0002-0590-1022","contributorId":261765,"corporation":false,"usgs":false,"family":"Welling","given":"Daniel","email":"","middleInitial":"T.","affiliations":[{"id":53003,"text":"University of Texas at Arlington Department of Physics, Arlington, Texas, United States","active":true,"usgs":false}],"preferred":false,"id":820609,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820610,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rigler, E. Joshua 0000-0003-4850-3953 erigler@usgs.gov","orcid":"https://orcid.org/0000-0003-4850-3953","contributorId":4367,"corporation":false,"usgs":true,"family":"Rigler","given":"E.","email":"erigler@usgs.gov","middleInitial":"Joshua","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820611,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oliveira, Denny M.","contributorId":261766,"corporation":false,"usgs":false,"family":"Oliveira","given":"Denny","email":"","middleInitial":"M.","affiliations":[{"id":53004,"text":"Goddard Planetary Heliophysics Institute, University of Maryland, Baltimore County, Baltimore, MD, USA; NASA Goddard Space Flight Center, Greenbelt, MD, USA","active":true,"usgs":false}],"preferred":false,"id":820612,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Komar, Colin M. 0000-0001-5850-7507","orcid":"https://orcid.org/0000-0001-5850-7507","contributorId":261767,"corporation":false,"usgs":false,"family":"Komar","given":"Colin","email":"","middleInitial":"M.","affiliations":[{"id":53007,"text":"NASA Goddard Space Flight Center, Greenbelt, MD, USA; The Catholic University of America, Washington DC, USA","active":true,"usgs":false}],"preferred":false,"id":820613,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morley, Steven 0000-0001-8520-0199","orcid":"https://orcid.org/0000-0001-8520-0199","contributorId":220242,"corporation":false,"usgs":false,"family":"Morley","given":"Steven","email":"","affiliations":[],"preferred":false,"id":820631,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70220479,"text":"70220479 - 2021 - Behavioral responses across a mosaic of ecosystem states restructure a sea otter–urchin trophic cascade","interactions":[],"lastModifiedDate":"2021-05-17T11:49:23.732534","indexId":"70220479","displayToPublicDate":"2020-12-16T07:15:05","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2982,"text":"PNAS","active":true,"publicationSubtype":{"id":10}},"title":"Behavioral responses across a mosaic of ecosystem states restructure a sea otter–urchin trophic cascade","docAbstract":"

Consumer and predator foraging behavior can impart profound trait-mediated constraints on community regulation that scale up to influence the structure and stability of ecosystems. Here, we demonstrate how the behavioral response of an apex predator to changes in prey behavior and condition can dramatically alter the role and relative contribution of top-down forcing, depending on the spatial organization of ecosystem states. In 2014, a rapid and dramatic decline in the abundance of a mesopredator (Pycnopodia helianthoides) and primary producer (Macrocystis pyrifera) coincided with a fundamental change in purple sea urchin (Strongylocentrotus purpuratus) foraging behavior and condition, resulting in a spatial mosaic of kelp forests interspersed with patches of sea urchin barrens. We show that this mosaic of adjacent alternative ecosystem states led to an increase in the number of sea otters (Enhydra lutris nereis) specializing on urchin prey, a population-level increase in urchin consumption, and an increase in sea otter survivorship. We further show that the spatial distribution of sea otter foraging efforts for urchin prey was not directly linked to high prey density but rather was predicted by the distribution of energetically profitable prey. Therefore, we infer that spatially explicit sea otter foraging enhances the resistance of remnant forests to overgrazing but does not directly contribute to the resilience (recovery) of forests. These results highlight the role of consumer and predator trait-mediated responses to resource mosaics that are common throughout natural ecosystems and enhance understanding of reciprocal feedbacks between top-down and bottom-up forcing on the regional stability of ecosystems.

","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.2012493118","usgsCitation":"Smith, J.G., Tomoleoni, J.A., Staedler, M.M., Lyon, S., Fujii, J., and Tinker, M., 2021, Behavioral responses across a mosaic of ecosystem states restructure a sea otter–urchin trophic cascade: PNAS, v. 118, no. 11, e2012493118, 7 p., https://doi.org/10.1073/pnas.2012493118.","productDescription":"e2012493118, 7 p.","ipdsId":"IP-124596","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":454076,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"text":"Publisher Index Page"},{"id":385632,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"118","issue":"11","noUsgsAuthors":false,"publicationDate":"2021-03-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Joshua G 0000-0003-4633-4519","orcid":"https://orcid.org/0000-0003-4633-4519","contributorId":258063,"corporation":false,"usgs":false,"family":"Smith","given":"Joshua","email":"","middleInitial":"G","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":815636,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tomoleoni, Joseph A. 0000-0001-6980-251X jtomoleoni@usgs.gov","orcid":"https://orcid.org/0000-0001-6980-251X","contributorId":167551,"corporation":false,"usgs":true,"family":"Tomoleoni","given":"Joseph","email":"jtomoleoni@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":815637,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Staedler, Michelle M. 0000-0002-1101-6580","orcid":"https://orcid.org/0000-0002-1101-6580","contributorId":213742,"corporation":false,"usgs":false,"family":"Staedler","given":"Michelle","email":"","middleInitial":"M.","affiliations":[{"id":6953,"text":"Monterey Bay Aquarium","active":true,"usgs":false}],"preferred":false,"id":815638,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lyon, Sophia 0000-0001-6760-486X","orcid":"https://orcid.org/0000-0001-6760-486X","contributorId":258064,"corporation":false,"usgs":false,"family":"Lyon","given":"Sophia","email":"","affiliations":[{"id":52224,"text":"former USGS-WERC employee","active":true,"usgs":false}],"preferred":false,"id":815639,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fujii, Jessica 0000-0003-4794-479X","orcid":"https://orcid.org/0000-0003-4794-479X","contributorId":139956,"corporation":false,"usgs":false,"family":"Fujii","given":"Jessica","affiliations":[{"id":6953,"text":"Monterey Bay Aquarium","active":true,"usgs":false}],"preferred":false,"id":815640,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tinker, M. Tim 0000-0002-3314-839X","orcid":"https://orcid.org/0000-0002-3314-839X","contributorId":221787,"corporation":false,"usgs":false,"family":"Tinker","given":"M. Tim","affiliations":[{"id":40428,"text":"University of California, Santa Cruz; former USGS PI","active":true,"usgs":false}],"preferred":false,"id":815641,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70228930,"text":"70228930 - 2021 - A replication of proximity to chronic wasting disease, perceived risk, and social trust in managing agency between hunters in Minnesota and Illinois","interactions":[],"lastModifiedDate":"2022-02-24T17:29:17.94088","indexId":"70228930","displayToPublicDate":"2020-12-15T11:23:41","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1909,"text":"Human Dimensions of Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"A replication of proximity to chronic wasting disease, perceived risk, and social trust in managing agency between hunters in Minnesota and Illinois","docAbstract":"

No abstract available. 

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10871209.2020.1860270","usgsCitation":"Smith, K., Schroeder, S., Landon, A., Cornicelli, L., McInenly, L., and Fulton, D.C., 2021, A replication of proximity to chronic wasting disease, perceived risk, and social trust in managing agency between hunters in Minnesota and Illinois: Human Dimensions of Wildlife, v. 26, no. 5, p. 503-506, https://doi.org/10.1080/10871209.2020.1860270.","productDescription":"4 p.","startPage":"503","endPage":"506","ipdsId":"IP-123285","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":396434,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, 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\"}}]}","volume":"26","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-12-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Kyle","contributorId":280045,"corporation":false,"usgs":false,"family":"Smith","given":"Kyle","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":835939,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schroeder, Susan A.","contributorId":280046,"corporation":false,"usgs":false,"family":"Schroeder","given":"Susan A.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":835940,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Landon, Adam","contributorId":279350,"corporation":false,"usgs":false,"family":"Landon","given":"Adam","affiliations":[{"id":34923,"text":"Minnesota DNR","active":true,"usgs":false}],"preferred":false,"id":835941,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cornicelli, Louis J.","contributorId":280048,"corporation":false,"usgs":false,"family":"Cornicelli","given":"Louis J.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":835942,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McInenly, Leslie","contributorId":279351,"corporation":false,"usgs":false,"family":"McInenly","given":"Leslie","affiliations":[{"id":34923,"text":"Minnesota DNR","active":true,"usgs":false}],"preferred":false,"id":835943,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fulton, David C. 0000-0001-5763-7887 dcf@usgs.gov","orcid":"https://orcid.org/0000-0001-5763-7887","contributorId":2208,"corporation":false,"usgs":true,"family":"Fulton","given":"David","email":"dcf@usgs.gov","middleInitial":"C.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":835938,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70222950,"text":"70222950 - 2021 - Revisiting California’s past great earthquakes and long-term earthquake rate","interactions":[],"lastModifiedDate":"2021-08-10T13:55:41.089339","indexId":"70222950","displayToPublicDate":"2020-12-15T08:47:43","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Revisiting California’s past great earthquakes and long-term earthquake rate","docAbstract":"

In this study, we revisit the three largest historical earthquakes in California—the 1857 Fort Tejon, 1872 Owens Valley, and 1906 San Francisco earthquakes—to review their published moment magnitudes, and compare their estimated shaking distributions with predictions using modern ground‐motion models (GMMs) and ground‐motion intensity conversion equations. Currently accepted moment magnitude estimates for the three earthquakes are 7.9, 7.6, and 7.8, respectively. We first consider the extent to which the intensity distributions of all three earthquakes are consistent with a moment magnitude toward the upper end of the estimated range. We then apply a GMM‐based method to estimate the magnitudes of large historical earthquakes. The intensity distribution of the 1857 earthquake is too sparse to provide a strong constraint on magnitude. For the 1872 earthquake, consideration of all available constraints suggests that it was a high stress‐drop event, with a magnitude on the higher end of the range implied by scaling relationships, that is, higher than moment magnitude 7.6. For the 1906 earthquake, based on our analysis of regional intensities and the detailed intensity distribution in San Francisco, along with other available constraints, we estimate a preferred moment magnitude of 7.9, consistent with the published estimate based on geodetic and instrumental seismic data. These results suggest that, although there can be a tendency for historical earthquake magnitudes to be overestimated, the accepted catalog magnitudes of California’s largest historical earthquakes could be too low. Given the uncertainties of the magnitude estimates, the seismic moment release rate between 1850 and 2019 could have been either higher or lower than the average over millennial time scales. It is further not possible to reject the hypothesis that California seismicity is described by an untruncated Gutenberg–Richter distribution with a b\">b‐value of 1.0 for moment magnitudes up to 8.0.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120200253","usgsCitation":"Hough, S.E., Page, M.T., Salditch, L., Gallahue, M.M., Lucas, M.C., Neely, J.S., and Stein, S., 2021, Revisiting California’s past great earthquakes and long-term earthquake rate: Bulletin of the Seismological Society of America, v. 111, no. 1, p. 356-370, https://doi.org/10.1785/0120200253.","productDescription":"15 p.","startPage":"356","endPage":"370","ipdsId":"IP-119089","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":387807,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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University","active":true,"usgs":false}],"preferred":false,"id":820883,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Neely, James S.","contributorId":263454,"corporation":false,"usgs":false,"family":"Neely","given":"James","email":"","middleInitial":"S.","affiliations":[{"id":25254,"text":"Northwestern University","active":true,"usgs":false}],"preferred":false,"id":820884,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stein, Seth","contributorId":263457,"corporation":false,"usgs":false,"family":"Stein","given":"Seth","affiliations":[{"id":25254,"text":"Northwestern University","active":true,"usgs":false}],"preferred":false,"id":820885,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70216935,"text":"70216935 - 2021 - Modeling areal measures of campsite impacts on the Appalachian National Scenic Trail to enhance ecological sustainability","interactions":[],"lastModifiedDate":"2020-12-17T14:27:20.177567","indexId":"70216935","displayToPublicDate":"2020-12-15T08:24:58","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Modeling areal measures of campsite impacts on the Appalachian National Scenic Trail to enhance ecological sustainability","docAbstract":"

Campsite impacts in protected natural areas are most effectively minimized by a containment strategy that focuses use on a limited number of sustainable campsites that spatially concentrate camping activities. This research employs spatial autoregressive (SAR) modeling to evaluate the relative influence of use-related, environmental, and managerial factors on two salient measures of campsite impact. Relational analyses examined numerous field-collected and GIS-derived indicators, including several new indicators calculated using high-resolution Light Detection and Ranging (LiDAR) topographic data to evaluate the influence of terrain characteristics on the dependent variables.

Chosen variables in the best SAR models explained 35% and 30% of the variation in campsite size and area of vegetation loss on campsites. Results identified three key indicators that managers can manipulate to enhance the sustainability of campsites: campsite type, and terrain characteristics relating to landform slope and topographic roughness. Results support indirect management methods that rely on the location, design, construction, and maintenance of campsites, instead of direct regulations that restrict visitation or visitor freedoms. As visitation pressures continue to increase, this knowledge can be applied to select and promote the use of more ecologically sustainable campsites.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2020.111693","usgsCitation":"Arredondo, J.R., Marion, J.L., Meadema, F.P., and Wimpey, J.F., 2021, Modeling areal measures of campsite impacts on the Appalachian National Scenic Trail to enhance ecological sustainability: Journal of Environmental Management, v. 279, 111693, 14 p., https://doi.org/10.1016/j.jenvman.2020.111693.","productDescription":"111693, 14 p.","ipdsId":"IP-105824","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":454082,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10919/104153","text":"External Repository"},{"id":381441,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Georgia, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, North Carolina, Pennsylvania, South Carolina, Vermont, Virginia","otherGeospatial":"Appalachian National Scenic Trail","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.09277343749999,\n 45.521743896993634\n ],\n [\n -73.037109375,\n 44.15068115978094\n ],\n [\n -77.255859375,\n 40.17887331434696\n ],\n [\n -80.37597656249999,\n 38.47939467327645\n ],\n [\n -83.935546875,\n 35.85343961959182\n ],\n [\n -84.55078125,\n 34.63320791137959\n ],\n [\n -83.27636718749999,\n 33.247875947924385\n ],\n [\n -79.7607421875,\n 35.567980458012094\n ],\n [\n -76.0693359375,\n 39.605688178320804\n ],\n [\n -72.2021484375,\n 43.100982876188546\n ],\n [\n -69.521484375,\n 44.99588261816546\n ],\n [\n -68.7744140625,\n 45.55252525134013\n ],\n [\n -69.0380859375,\n 46.07323062540835\n ],\n [\n -69.521484375,\n 46.255846818480315\n ],\n [\n -70.09277343749999,\n 45.521743896993634\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"279","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Arredondo, Johanna R.","contributorId":245781,"corporation":false,"usgs":false,"family":"Arredondo","given":"Johanna","email":"","middleInitial":"R.","affiliations":[{"id":49322,"text":"Virginia Tech, Forest Resources & Environmental Conservation, 310 W. Campus Dr., Blacksburg, VA 24061, USA","active":true,"usgs":false}],"preferred":false,"id":807024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marion, Jeffrey L. 0000-0003-2226-689X jeff_marion@usgs.gov","orcid":"https://orcid.org/0000-0003-2226-689X","contributorId":3614,"corporation":false,"usgs":true,"family":"Marion","given":"Jeffrey","email":"jeff_marion@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":807023,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meadema, Fletcher P.","contributorId":245782,"corporation":false,"usgs":false,"family":"Meadema","given":"Fletcher","email":"","middleInitial":"P.","affiliations":[{"id":49322,"text":"Virginia Tech, Forest Resources & Environmental Conservation, 310 W. Campus Dr., Blacksburg, VA 24061, USA","active":true,"usgs":false}],"preferred":false,"id":807025,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wimpey, Jeremy F.","contributorId":245783,"corporation":false,"usgs":false,"family":"Wimpey","given":"Jeremy","email":"","middleInitial":"F.","affiliations":[{"id":49323,"text":"Applied Trails Research, State College, PA 16803, USA","active":true,"usgs":false}],"preferred":false,"id":807026,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70217658,"text":"70217658 - 2021 - Limited mantle hydration by bending faults at the Middle America Trench","interactions":[],"lastModifiedDate":"2021-01-27T13:45:54.761976","indexId":"70217658","displayToPublicDate":"2020-12-15T07:42:19","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Limited mantle hydration by bending faults at the Middle America Trench","docAbstract":"

Seismic anisotropy measurements show that upper mantle hydration at the Middle America Trench (MAT) is limited to serpentinization and/or water in fault zones, rather than distributed uniformly. Subduction of hydrated oceanic lithosphere recycles water back into the deep mantle, drives arc volcanism, and affects seismicity at subduction zones. Constraining the extent of upper mantle hydration is an important part of understanding many fundamental processes on Earth. Substantially reduced seismic velocities in tomography suggest that outer rise plate‐bending faults provide a pathway for seawater to rehydrate the slab mantle just prior to subduction. Estimates of outer‐rise hydration based on tomograms vary significantly, with some large enough to imply that, globally, subduction has consumed more than two oceans worth of water during the Phanerozoic. We found that, while the mean upper mantle wavespeed is reduced at the MAT outer rise, the amplitude and orientation of inherited anisotropy are preserved at depths >1 km below the Moho. At shallower depths, relict anisotropy is replaced by slowing in the fault‐normal direction. These observations are incompatible with pervasive hydration but consistent with models of wave propagation through serpentinized fault zones that thin to <100‐m in width at depths >1 km below Moho. Confining hydration to fault zones reduces water storage estimates for the MAT upper mantle from ∼3.5 wt% to <0.9 wt% H20. Since the intermediate thermal structure in the ∼24 Myr‐old MAT slab favors serpentinization, limited hydration suggests that fault mechanics are the limiting factor, not temperatures. Subducting mantle may be similarly dry globally.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020JB020982","usgsCitation":"Miller, N.C., Lizarralde, D., Collins, J., Holbrook, S., and van Avendonk, H., 2021, Limited mantle hydration by bending faults at the Middle America Trench: Journal of Geophysical Research, v. 25, no. 12, e2020JB020982, 28 p., https://doi.org/10.1029/2020JB020982.","productDescription":"e2020JB020982, 28 p.","ipdsId":"IP-096423","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":454085,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2020jb020982","text":"Publisher Index Page"},{"id":382656,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.8671875,\n 17.308687886770034\n ],\n [\n -99.31640625,\n 15.114552871944115\n ],\n [\n -96.15234375,\n 10.833305983642491\n ],\n [\n -87.890625,\n 3.5134210456400448\n ],\n [\n -77.6953125,\n 3.6888551431470478\n ],\n [\n -77.6953125,\n 8.059229627200192\n ],\n [\n -93.8671875,\n 17.308687886770034\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"25","issue":"12","noUsgsAuthors":false,"publicationDate":"2021-01-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Miller, Nathaniel C. 0000-0003-3271-2929 ncmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3271-2929","contributorId":174592,"corporation":false,"usgs":true,"family":"Miller","given":"Nathaniel","email":"ncmiller@usgs.gov","middleInitial":"C.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":809167,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lizarralde, Danile","contributorId":248449,"corporation":false,"usgs":false,"family":"Lizarralde","given":"Danile","email":"","affiliations":[{"id":49912,"text":"Department of Geology and Geophysics, Woods Hole Oceanographic Institution, Woods Hole, Massachusetts","active":true,"usgs":false}],"preferred":false,"id":809168,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collins, John A. jcollins@whoi.edu","contributorId":177449,"corporation":false,"usgs":false,"family":"Collins","given":"John A.","email":"jcollins@whoi.edu","affiliations":[{"id":6706,"text":"Woods Hole Oceanographic Institution,","active":true,"usgs":false}],"preferred":false,"id":809169,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Holbrook, Steven","contributorId":248450,"corporation":false,"usgs":false,"family":"Holbrook","given":"Steven","email":"","affiliations":[{"id":49891,"text":"Department of Geosciences, Virginia Polytechnic Institute and State University, Blacksburg, Virginia","active":true,"usgs":false}],"preferred":false,"id":809170,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"van Avendonk, Harm","contributorId":248451,"corporation":false,"usgs":false,"family":"van Avendonk","given":"Harm","email":"","affiliations":[{"id":49913,"text":"Jackson School of Geosciences, University of Texas Institute for Geophysics, Austin, Texas","active":true,"usgs":false}],"preferred":false,"id":809171,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}