Groundwater upwellings provide warmer, stable overwinter temperatures for developing salmon embryos, which may be particularly important in cold, braided, gravel-bed sub-Arctic rivers. We used a three-year time series of aerial counts and remote sensing to estimate the distribution of low and high aggregations of spawning fall chum salmon (Oncorhynchus keta), classify approximately 0.5 km long river segments by geomorphic channel type, and map thermal variability along a 25.4 km stretch of the Teedriinjik River, Alaska. We used a dynamic multistate occupancy model to estimate detectability, occupancy, and the dynamics of spawning aggregations among river segments. Detectability was higher for large (>150) relative to smaller aggregations. Unoccupied segments were likely to remain so from year to year; low abundance spawning segments were dynamic and rarely remained in that state for multiple years, while ∼20%–35% of high abundance segments remained stable, indicating the presence of high-quality spawning habitat. Spawning habitat use was associated with warmer water temperatures likely caused by groundwater upwellings. We identified spawning habitat characteristics and trends in usage by fall chum salmon, which will inform land management decisions and assist in evaluating impacts of shifting climate conditions and resource management on Arctic salmon populations.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2021-0013","usgsCitation":"Clawson, C.M., Falke, J.A., Bailey, L.L., Rose, J., Prakash, A., and Martin, A.E., 2022, High-resolution remote sensing and multistate occupancy estimation identify drivers of spawning site selection in fall chum salmon (Oncorhynchus keta) across a sub-Arctic riverscape: Canadian Journal of Fisheries and Aquatic Sciences, v. 79, no. 3, p. 380-394, https://doi.org/10.1139/cjfas-2021-0013.","productDescription":"15 p.","startPage":"380","endPage":"394","ipdsId":"IP-092932","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":395245,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Teedriinjik River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -147.28271484375,\n 66.98810916256633\n ],\n [\n -146.37908935546875,\n 66.98810916256633\n ],\n [\n -146.37908935546875,\n 67.11714654279567\n ],\n [\n -147.28271484375,\n 67.11714654279567\n ],\n [\n -147.28271484375,\n 66.98810916256633\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"79","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Clawson, Chelsea M.","contributorId":272841,"corporation":false,"usgs":false,"family":"Clawson","given":"Chelsea","email":"","middleInitial":"M.","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":832330,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":832329,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bailey, Larissa L. 0000-0002-5959-2018","orcid":"https://orcid.org/0000-0002-5959-2018","contributorId":189578,"corporation":false,"usgs":false,"family":"Bailey","given":"Larissa","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":832331,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rose, Joshua","contributorId":273053,"corporation":false,"usgs":false,"family":"Rose","given":"Joshua","affiliations":[{"id":13228,"text":"U.S. Fish and Wildlife Service, Arctic National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":832535,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Prakash, Anupma","contributorId":41101,"corporation":false,"usgs":true,"family":"Prakash","given":"Anupma","affiliations":[],"preferred":false,"id":832332,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Martin, Aaron E.","contributorId":200419,"corporation":false,"usgs":false,"family":"Martin","given":"Aaron","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":832333,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70226450,"text":"70226450 - 2022 - Late Quaternary deglaciation of Prince William Sound, Alaska","interactions":[],"lastModifiedDate":"2023-11-06T16:08:22.943696","indexId":"70226450","displayToPublicDate":"2021-07-23T06:31:17","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"Late Quaternary deglaciation of Prince William Sound, Alaska","docAbstract":"To understand the timing of deglaciation of the northernmost marine-terminating glaciers of the Cordilleran Ice Sheet (CIS), we obtained 26 10Be surface-exposure ages from glacially scoured bedrock surfaces in Prince William Sound (PWS), Alaska. We sampled six elevation transects between sea level and 620 m and spanning a distance of 14 to 70 km along ice flow paths. Most transect age–elevation patterns could not be explained by a simple model of thinning ice; the patterns provide evidence for lingering ice cover and possible inheritance. A reliable set of 20 ages ranges between 17.4 ± 2.0 and 11.6 ± 2.8 ka and indicates ice receded from northwestern PWS around 14.3 ± 1.6 ka, thinned at a rate of ~120–160 m/ka, and retreated from sea-level sites at 12.9 ± 1.1 ka at a rate of 20 m/yr. The retreat rate likely slowed as glaciers retreated into northern PWS. These results are consistent with the growing body of reported deglacial constraints on collapse of ice sheets along the Alaska margin indicating collapse of the CIS soon after 17 ka. These data are consistent with paleotemperature data indicating that a warming North Pacific Ocean caused catastrophic collapse of this part of the CIS.
Mountain Pass is the site of the most economically important rare earth element (REE) deposit in the United States. Mesoproterozoic alkaline intrusions are spatiotemporally associated with a composite carbonatite stock that hosts REE ore. Understanding the genesis of the alkaline and carbonatite magmas is an essential scientific goal for a society in which critical minerals are in high demand and will continue to be so for the foreseeable future. We present an ion microprobe study of zircon crystals in shonkinite and syenite intrusions to establish geochronological and geochemical constraints on the igneous underpinnings of the Mountain Pass REE deposit. Silicate whole-rock compositions occupy a broad spectrum (50–72 wt % SiO2), are ultrapotassic (6–9 wt % K2O; K2O/Na2O = 2–9), and have highly elevated concentrations of REEs (La 500–1,100× chondritic). Zircon concordia 206Pb/238U-207Pb/235U ages determined for shonkinite and syenite units are 1409 ± 8, 1409 ± 12, 1410 ± 8, and 1415 ± 6 Ma (2σ). Most shonkinite dikes are dominated by inherited Paleoproterozoic xenocrysts, but there are sparse primary zircons with 207Pb/206Pb ages of 1390–1380 ± 15 Ma for the youngest grains. Our new zircon U-Pb ages for shonkinite and syenite units overlap published monazite Th-Pb ages for the carbonatite orebody and a smaller carbonatite dike. Inherited zircons in shonkinite and syenite units are ubiquitous and have a multimodal distribution of 207Pb/206Pb ages that cluster in the range of 1785–1600 ± 10–30 Ma. Primary zircons have generally lower Hf (<11,000 ppm) and higher Eu/Eu* (>0.6), Th (>300 ppm), Th/U (>1), and Ti-in-zircon temperatures (>800°C) than inherited zircons. Oxygen isotope data reveals a large range in δ18O values for primary zircons, from mantle (5–5.5‰) to crustal and supracrustal (7–9‰). A couple of low-δ18O outliers (2‰) point to a component of shallow crust altered by meteoric water. The δ18O range of inherited zircons (5–10‰) overlaps that of the primary zircons. Our study supports a model in which alkaline and carbonatite magmatism occurred over tens of millions of years, repeatedly tapping a metasomatized mantle source, which endowed magmas with elevated REEs and other diagnostic components (e.g., F, Ba). Though this metasomatized mantle region existed for the duration of Mountain Pass magmatism, it probably did not predate magmatism by substantial geologic time (>100 m.y.), based on the similarity of 1500 Ma zircons with the dominantly 1800–1600 Ma inherited zircons, as opposed to the 1450–1350 Ma primary zircons. Mountain Pass magmas had diverse crustal inputs from assimilation of Paleoproterozoic and Mesoproterozoic igneous, metaigneous, and metasedimentary rocks. Crustal assimilation is only apparent from high spatial resolution zircon analyses and underscores the need for mineral-scale approaches in understanding the genesis of the Mountain Pass system.
","language":"English","publisher":"Society of Economic Geologists","doi":"10.5382/econgeo.4848","usgsCitation":"Watts, K., Haxel, G.B., and Miller, D., 2022, Temporal and petrogenetic links between Mesoproterozoic alkaline and carbonatite magmas at Mountain Pass, California: Economic Geology, v. 117, no. 1, p. 1-23, https://doi.org/10.5382/econgeo.4848.","productDescription":"23 p.","startPage":"1","endPage":"23","ipdsId":"IP-123131","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":449779,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5382/econgeo.4848","text":"Publisher Index Page"},{"id":436062,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UE4HFE","text":"USGS data release","linkHelpText":"Geochemistry, geochronology, and isotope geochemistry data for rocks and zircons from Mountain Pass, California"},{"id":387730,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"southeast California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.71874999999999,\n 34.813803317113155\n ],\n [\n -115.400390625,\n 34.813803317113155\n ],\n [\n -115.400390625,\n 36.527294814546245\n ],\n [\n -116.71874999999999,\n 36.527294814546245\n ],\n [\n -116.71874999999999,\n 34.813803317113155\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"117","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"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":820649,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haxel, Gordon B. 0000-0002-6722-7803 gbhaxel@usgs.gov","orcid":"https://orcid.org/0000-0002-6722-7803","contributorId":261783,"corporation":false,"usgs":true,"family":"Haxel","given":"Gordon","email":"gbhaxel@usgs.gov","middleInitial":"B.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":820650,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, David M. 0000-0003-3711-0441 dmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-3711-0441","contributorId":140769,"corporation":false,"usgs":true,"family":"Miller","given":"David M.","email":"dmiller@usgs.gov","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":820651,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70254952,"text":"70254952 - 2022 - Trading off hatching success and cost in the captive breeding of Whooping Cranes","interactions":[],"lastModifiedDate":"2024-06-11T13:57:37.083333","indexId":"70254952","displayToPublicDate":"2021-07-21T08:54:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":774,"text":"Animal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Trading off hatching success and cost in the captive breeding of Whooping Cranes","docAbstract":"Captive breeding is an increasingly used conservation strategy for species with a high risk of extinction in the wild, but managing a captive breeding programme can be challenging if there is a deficiency in knowledge about the species’ breeding biology. A knowledge gap can make it difficult to evaluate different management options. For avian species, egg hatching success is a key demographic parameter, and data-logging egg technology can provide important information on optimal species-specific incubation conditions, which can help inform captive breeding practises and identify efficient captive management options. In the context of a captive breeding programme for endangered Whooping Cranes Grus americana, we investigated associations between hatching success and incubation conditions, including environmental parameters (temperature, relative humidity and egg turning rate), and incubation type (artificial incubation; foster incubation by Sandhill Cranes, Grus canadensis; and Whooping Crane incubation). Finally, we considered both cost and breeding output in an analysis of incubation practises. We found that daily mean temperatures were negatively associated with hatching success, and that hatching success was highest with incubation under Sandhill Cranes. However, incubation by artificial incubators, rather than Sandhill Cranes, provided a trade-off between cost and breeding output that is likely to be acceptable to many captive programme managers. We encourage other captive breeding programmes to use innovations that help to increase potential release numbers for conservation translocations by considering biological and financial constraints.
","language":"English","publisher":"Zoological Society of London","doi":"10.1111/acv.12722","usgsCitation":"Edwards, H.A., Converse, S.J., Swan, K.D., and Moehrenschlager, A., 2022, Trading off hatching success and cost in the captive breeding of Whooping Cranes: Animal Conservation, v. 25, no. 1, p. 101-109, https://doi.org/10.1111/acv.12722.","productDescription":"9 p.","startPage":"101","endPage":"109","ipdsId":"IP-125402","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":449782,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/acv.12722","text":"Publisher Index Page"},{"id":429869,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-07-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Edwards, Hannah A.","contributorId":338096,"corporation":false,"usgs":false,"family":"Edwards","given":"Hannah","email":"","middleInitial":"A.","affiliations":[{"id":56586,"text":"czs","active":true,"usgs":false}],"preferred":false,"id":902952,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":902951,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swan, Kelly D.","contributorId":338097,"corporation":false,"usgs":false,"family":"Swan","given":"Kelly","email":"","middleInitial":"D.","affiliations":[{"id":56586,"text":"czs","active":true,"usgs":false}],"preferred":false,"id":902953,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moehrenschlager, Axel","contributorId":338100,"corporation":false,"usgs":false,"family":"Moehrenschlager","given":"Axel","affiliations":[{"id":56586,"text":"czs","active":true,"usgs":false}],"preferred":false,"id":902954,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70239345,"text":"70239345 - 2022 - Book review: Why do buildings collapse in earthquakes? Building for safety in seismic areas","interactions":[],"lastModifiedDate":"2023-01-10T13:28:30.924788","indexId":"70239345","displayToPublicDate":"2021-07-21T07:27:22","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Book review: Why do buildings collapse in earthquakes? Building for safety in seismic areas","docAbstract":"No abstract available.
","language":"English","publisher":"SAGE","doi":"10.1177/87552930221109298","usgsCitation":"Wald, D.J., 2022, Book review: Why do buildings collapse in earthquakes? Building for safety in seismic areas: Earthquake Spectra, v. 38, no. 4, p. 3089-3093, https://doi.org/10.1177/87552930221109298.","productDescription":"5 p.","startPage":"3089","endPage":"3093","ipdsId":"IP-140539","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":411624,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-07-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":861206,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70228671,"text":"70228671 - 2022 - Species-specific demographic and behavioral responses to food availability during migratory stopover","interactions":[],"lastModifiedDate":"2022-02-16T16:03:41.730784","indexId":"70228671","displayToPublicDate":"2021-07-18T09:55:29","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3103,"text":"Population Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Species-specific demographic and behavioral responses to food availability during migratory stopover","docAbstract":"Understanding the effects of migratory stopover site conditions on both demographic rates and migratory behaviors is critical for interpreting changes in passage population sizes at stopover sites and predicting responses to future changes and conservation actions. We used a Bayesian formulation of the open robust design model to analyze mark-resight observations of three migratory shorebird species using Delaware Bay, USA during spring stopover from 2005 to 2018. We tested for an effect of stopover food availability and weather conditions on survival probability and the probability of returning to this site in the next year and found species differences in these relationships. After years with greater food availability, red knot Calidris canutus rufa had higher survival probability but ruddy turnstone Arenaria interpres were more likely to return to the site. Estimates of within-year probabilities of arrival and persistence at the stopover site showed relatively consistent migration schedules for ruddy turnstone, but more interannual variation for red knot and sanderling Calidris alba. Shorebird use of this site typically peaked during May 26–28, but the estimated proportion of the population present during this period varied dramatically among years for red knot (range: 0.07–0.59) but less so for ruddy turnstone and sanderling. This demonstrates that both the proportion of the flyway population using this stopover site and the proportion present during a given sampling period vary among years, and both should be considered in analyzing and interpreting monitoring data. Stopover conditions can influence both migratory behavior and demographics, underscoring the importance of flyway-wide monitoring.
","language":"English","publisher":"Ecological Society of Japan","doi":"10.1002/1438-390X.12094","usgsCitation":"Tucker, A.M., McGowan, C., Lyons, J.E., Derose-Wilson, A., and Clark, N., 2022, Species-specific demographic and behavioral responses to food availability during migratory stopover: Population Ecology, v. 64, no. 1, p. 19-34, https://doi.org/10.1002/1438-390X.12094.","productDescription":"16 p.","startPage":"19","endPage":"34","ipdsId":"IP-113655","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":396019,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, New Jersey","otherGeospatial":"Delaware Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.08331298828125,\n 38.700515838688716\n ],\n [\n -74.94049072265625,\n 38.9380483825641\n ],\n [\n -74.87457275390625,\n 39.193948213963665\n ],\n [\n -75.00091552734375,\n 39.234380580544276\n ],\n [\n -75.15472412109375,\n 39.20671884491848\n ],\n [\n -75.3826904296875,\n 39.39587712612034\n ],\n [\n -75.50079345703125,\n 39.48920467334085\n ],\n [\n -75.52276611328125,\n 39.607804249995105\n ],\n [\n -75.53924560546875,\n 39.69239407904182\n ],\n [\n -75.63812255859375,\n 39.620499321968104\n ],\n [\n -75.58319091796875,\n 39.552765371831015\n ],\n [\n -75.60791015625,\n 39.46588451142044\n ],\n [\n -75.42938232421875,\n 39.25990481501755\n ],\n [\n -75.43212890625,\n 39.08530414503412\n ],\n [\n -75.333251953125,\n 38.9914373369788\n ],\n [\n -75.31677246093749,\n 38.91240739487225\n ],\n [\n -75.16845703124999,\n 38.773357720269075\n ],\n [\n -75.08880615234375,\n 38.78406349514289\n ],\n [\n -75.08331298828125,\n 38.700515838688716\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"64","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-07-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Tucker, A. M.","contributorId":276002,"corporation":false,"usgs":false,"family":"Tucker","given":"A.","email":"","middleInitial":"M.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":834971,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGowan, Conor P. 0000-0002-7330-9581 cmcgowan@usgs.gov","orcid":"https://orcid.org/0000-0002-7330-9581","contributorId":3381,"corporation":false,"usgs":true,"family":"McGowan","given":"Conor P.","email":"cmcgowan@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":834972,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lyons, James E. 0000-0002-9810-8751","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":222844,"corporation":false,"usgs":true,"family":"Lyons","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":834973,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Derose-Wilson, A.","contributorId":243204,"corporation":false,"usgs":false,"family":"Derose-Wilson","given":"A.","email":"","affiliations":[{"id":36379,"text":"Delaware Division of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":834974,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clark, N.A.","contributorId":279481,"corporation":false,"usgs":false,"family":"Clark","given":"N.A.","affiliations":[{"id":38864,"text":"British Trust for Ornithology","active":true,"usgs":false}],"preferred":false,"id":834975,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70254791,"text":"70254791 - 2022 - An integrated path for spatial capture–recapture and animal movement modeling","interactions":[],"lastModifiedDate":"2024-06-10T15:51:14.737168","indexId":"70254791","displayToPublicDate":"2021-07-16T10:45:58","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"An integrated path for spatial capture–recapture and animal movement modeling","docAbstract":"Ecologists and conservation biologists increasingly rely on spatial capture–recapture (SCR) and movement modeling to study animal populations. Historically, SCR has focused on population-level processes (e.g., vital rates, abundance, density, and distribution), whereas animal movement modeling has focused on the behavior of individuals (e.g., activity budgets, resource selection, migration). Even though animal movement is clearly a driver of population-level patterns and dynamics, technical and conceptual developments to date have not forged a firm link between the two fields. Instead, movement modeling has typically focused on the individual level without providing a coherent scaling from individual- to population-level processes, whereas SCR has typically focused on the population level while greatly simplifying the movement processes that give rise to the observations underlying these models. In our view, the integration of SCR and animal movement modeling has tremendous potential for allowing ecologists to scale up from individuals to populations and advancing the types of inferences that can be made at the intersection of population, movement, and landscape ecology. Properly accounting for complex animal movement processes can also potentially reduce bias in estimators of population-level parameters, thereby improving inferences that are critical for species conservation and management. This introductory article to the Special Feature reviews recent advances in SCR and animal movement modeling, establishes a common notation, highlights potential advantages of linking individual-level (Lagrangian) movements to population-level (Eulerian) processes, and outlines a general conceptual framework for the integration of movement and SCR models. We then identify important avenues for future research, including key challenges and potential pitfalls in the developments and applications that lie ahead.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.3473","usgsCitation":"McClintock, B., Abrahms, B., Chandler, R., Conn, P., Converse, S.J., Emmet, R., Gardner, B., Hostetter, N., and Johnson, D., 2022, An integrated path for spatial capture–recapture and animal movement modeling: Ecology, e03473, 21 p., https://doi.org/10.1002/ecy.3473.","productDescription":"e03473, 21 p.","ipdsId":"IP-124731","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":449786,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.3473","text":"Publisher Index Page"},{"id":429768,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2021-09-30","publicationStatus":"PW","contributors":{"authors":[{"text":"McClintock, Brett T.","contributorId":337619,"corporation":false,"usgs":false,"family":"McClintock","given":"Brett T.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":902580,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abrahms, Briana","contributorId":337620,"corporation":false,"usgs":false,"family":"Abrahms","given":"Briana","affiliations":[{"id":12729,"text":"UW","active":true,"usgs":false}],"preferred":false,"id":902581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chandler, Richard","contributorId":337621,"corporation":false,"usgs":false,"family":"Chandler","given":"Richard","affiliations":[{"id":24699,"text":"UGA","active":true,"usgs":false}],"preferred":false,"id":902582,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conn, Paul B.","contributorId":337622,"corporation":false,"usgs":false,"family":"Conn","given":"Paul B.","affiliations":[{"id":24699,"text":"UGA","active":true,"usgs":false}],"preferred":false,"id":902583,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":902579,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Emmet, Robbie","contributorId":337623,"corporation":false,"usgs":false,"family":"Emmet","given":"Robbie","email":"","affiliations":[{"id":40853,"text":"UE","active":true,"usgs":false}],"preferred":false,"id":902584,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gardner, Beth","contributorId":337624,"corporation":false,"usgs":false,"family":"Gardner","given":"Beth","affiliations":[{"id":12729,"text":"UW","active":true,"usgs":false}],"preferred":false,"id":902585,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hostetter, Nathan J.","contributorId":337625,"corporation":false,"usgs":false,"family":"Hostetter","given":"Nathan J.","affiliations":[{"id":12729,"text":"UW","active":true,"usgs":false}],"preferred":false,"id":902586,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Johnson, Devin S.","contributorId":337626,"corporation":false,"usgs":false,"family":"Johnson","given":"Devin S.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":902587,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70226452,"text":"70226452 - 2022 - Local climate adaptations in two ubiquitous Mojave Desert shrub species, Ambrosia dumosa and Larrea tridentata","interactions":[],"lastModifiedDate":"2022-05-13T14:06:19.442959","indexId":"70226452","displayToPublicDate":"2021-07-15T06:59:09","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Local climate adaptations in two ubiquitous Mojave Desert shrub species, Ambrosia dumosa and Larrea tridentata","title":"Local climate adaptations in two ubiquitous Mojave Desert shrub species, Ambrosia dumosa and Larrea tridentata","docAbstract":"Sedimentary deposits constitute the primary record of changing environmental conditions that have acted on Earth’s surface over geologic time. Clastic material is eroded from source locations (parents) in sediment routing systems and deposited at sink locations (children). Both parents and children have characteristics that vary across many different dimensions, including grain size, chemical composition, and the geochronologic age of constituent detrital minerals. During transport, sediment from different parents is mixed together to form a child, which in turn may serve as the parent for other sediment farther down-system or later in time when buried sediment is exhumed. The distribution of detrital mineral ages observed in parent and child sediments allows for investigation of the proportion of each parent in the child sediment, which reflects the properties of the sediment routing system. To model the proportion of dates in a child sample that comes from each of the parent distributions, we use a Bayesian mixture of Dirichlet processes. This model enables us to estimate the mixing proportions with associated uncertainty while making minimal assumptions. We also present an extension to the model whereby we reconstruct unobserved parent distributions from multiple observed child distributions using mixtures of Dirichlet processes. The model accounts for uncertainty in both the number of mineral formation events that constitute each parent distribution and the mixing proportions of each parent distribution that constitutes a child distribution. To demonstrate the model, we perform analyses using simulated data where the true age distribution is known as well as using a real-world case study from the coast of central California, USA.
","language":"English","publisher":"Springer","doi":"10.1007/s11004-021-09961-x","usgsCitation":"Tipton, J.R., Sharman, G.R., and Johnstone, S., 2022, A Bayesian nonparametric approach to unmixing detrital geochronologic data: Mathematical Geosciences, v. 54, p. 151-176, https://doi.org/10.1007/s11004-021-09961-x.","productDescription":"16 p.","startPage":"151","endPage":"176","ipdsId":"IP-117381","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":387071,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","noUsgsAuthors":false,"publicationDate":"2021-07-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Tipton, John R. 0000-0002-6135-8191","orcid":"https://orcid.org/0000-0002-6135-8191","contributorId":260843,"corporation":false,"usgs":false,"family":"Tipton","given":"John","email":"","middleInitial":"R.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":818949,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sharman, Glenn R.","contributorId":196537,"corporation":false,"usgs":false,"family":"Sharman","given":"Glenn","email":"","middleInitial":"R.","affiliations":[{"id":34621,"text":"Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin, Austin, TX, USA","active":true,"usgs":false}],"preferred":false,"id":818950,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnstone, Samuel 0000-0002-3945-2499","orcid":"https://orcid.org/0000-0002-3945-2499","contributorId":207545,"corporation":false,"usgs":true,"family":"Johnstone","given":"Samuel","email":"","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":818951,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70228759,"text":"70228759 - 2022 - Global application of an unoccupied aerial vehicle photogrammetry protocol for predicting aboveground biomass in non-forest ecosystems","interactions":[],"lastModifiedDate":"2022-02-18T15:07:23.972221","indexId":"70228759","displayToPublicDate":"2021-07-07T08:10:20","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5347,"text":"Remote Sensing in Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Global application of an unoccupied aerial vehicle photogrammetry protocol for predicting aboveground biomass in non-forest ecosystems","docAbstract":"Non-forest ecosystems, dominated by shrubs, grasses and herbaceous plants, provide ecosystem services including carbon sequestration and forage for grazing, and are highly sensitive to climatic changes. Yet these ecosystems are poorly represented in remotely sensed biomass products and are undersampled by in situ monitoring. Current global change threats emphasize the need for new tools to capture biomass change in non-forest ecosystems at appropriate scales. Here we developed and deployed a new protocol for photogrammetric height using unoccupied aerial vehicle (UAV) images to test its capability for delivering standardized measurements of biomass across a globally distributed field experiment. We assessed whether canopy height inferred from UAV photogrammetry allows the prediction of aboveground biomass (AGB) across low-stature plant species by conducting 38 photogrammetric surveys over 741 harvested plots to sample 50 species. We found mean canopy height was strongly predictive of AGB across species, with a median adjusted R2 of 0.87 (ranging from 0.46 to 0.99) and median prediction error from leave-one-out cross-validation of 3.9%. Biomass per-unit-of-height was similar within but different among, plant functional types. We found that photogrammetric reconstructions of canopy height were sensitive to wind speed but not sun elevation during surveys. We demonstrated that our photogrammetric approach produced generalizable measurements across growth forms and environmental settings and yielded accuracies as good as those obtained from in situ approaches. We demonstrate that using a standardized approach for UAV photogrammetry can deliver accurate AGB estimates across a wide range of dynamic and heterogeneous ecosystems. Many academic and land management institutions have the technical capacity to deploy these approaches over extents of 1–10 ha−1. Photogrammetric approaches could provide much-needed information required to calibrate and validate the vegetation models and satellite-derived biomass products that are essential to understand vulnerable and understudied non-forested ecosystems around the globe.
","language":"English","publisher":"Wiley","doi":"10.1002/rse2.228","usgsCitation":"Cunliffe, A., Anderson, K., Boschetti, F., Brazier, R.E., Graham, H.A., Myers-Smith, I.H., Astor, T., Boer, M.M., Calvo, L.G., Clark, P., Cramer, M.D., Encinas-Lara, M.S., Escarzaga, S.M., Fisher, A., Fernandez-Guisuraga, J.M., Gdulova, K., Gillespie, B.M., Griebel, A., Hanan, N.P., Hanggito, M.S., Haselberger, S., Havrilla, C.A., Heilman, P., Ji, W., Karl, J., Kraushaar, S., Mauritz, M., Lyons, M., Marzolff, I., McIntire, C.D., Metzen, D., Mendez-Barroso, L.A., Power, S.C., Prosek, J., Sanz-Ablanedo, E., Sauer, K.J., Schulze-Bruninghoff, D., Simova, P., Sitch, S., Smit, J.L., Steele, C.M., Suarez-Seoane, S., Vargas, S.A., Visser, F., Villarreal, M.L., Wachendorf, M., Wirnsberger, H., and Wojcikiewicz, R., 2022, Global application of an unoccupied aerial vehicle photogrammetry protocol for predicting aboveground biomass in non-forest ecosystems: Remote Sensing in Ecology and Conservation, v. 8, no. 1, p. 57-71, https://doi.org/10.1002/rse2.228.","productDescription":"15 p.","startPage":"57","endPage":"71","ipdsId":"IP-116952","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":449792,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rse2.228","text":"Publisher Index Page"},{"id":396172,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-07-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Cunliffe, Andrew 0000-0002-8346-4278","orcid":"https://orcid.org/0000-0002-8346-4278","contributorId":279669,"corporation":false,"usgs":false,"family":"Cunliffe","given":"Andrew","email":"","affiliations":[{"id":57332,"text":"Department of Geography, College of Life and Environmental Sciences, University of Exeter, 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2022 - The distribution and structure of mangroves (Avicennia germinans and Rhizophora mangle) near a rapidly changing range limit in the northeastern Gulf of Mexico","interactions":[],"lastModifiedDate":"2023-06-09T13:56:46.718848","indexId":"70229238","displayToPublicDate":"2021-07-02T09:59:18","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The distribution and structure of mangroves (Avicennia germinans and Rhizophora mangle) near a rapidly changing range limit in the northeastern Gulf of Mexico","title":"The distribution and structure of mangroves (Avicennia germinans and Rhizophora mangle) near a rapidly changing range limit in the northeastern Gulf of Mexico","docAbstract":"In coastal wetlands, one of the most striking examples of climate change is the poleward range expansion of mangrove forests in response to warming winters. In North America, the Cedar Key region has often been considered the range limit for mangroves along the western coast of Florida (USA). However, within the past several decades, robust stands of Avicennia germinans and Rhizophora mangle have been observed in the Apalachicola Bay region, which is 200 km northwest of Cedar Key. Here, we combined field vegetation surveys, historical herbarium records, and analyses of past temperature data (station-based and gridded) to examine the distribution and structure of these two mangrove species in the Apalachicola Bay region. Historical records indicate that mangroves have been present for at least 150 years. However, our abundance and structural data indicate that mangroves are currently reaching heights, densities, and reproductive stages not historically reported. We found a surprisingly broad distribution and high number of R. mangle individuals, which is unlike A. germinans–dominated mangrove range limits in Louisiana and Texas. Using cold temperature tolerance thresholds and gridded temperature data, we show that A. germinans and R. mangle distributions can be influenced by spatial variation in the frequency of extreme freeze events, which can be used to spatially depict the risk of mangrove cold damage. Given the rapid pace of change and the potential for abrupt landscape-scale transformation, our findings reinforce the pressing need to advance understanding of mangrove expansion dynamics near northern range limits in the southeastern United States.
","language":"English","publisher":"Springer Link","doi":"10.1007/s12237-021-00951-0","usgsCitation":"Snyder, C.M., Feher, L., Osland, M., Miller, C., Hughes, A.R., and Cummins, K.L., 2022, The distribution and structure of mangroves (Avicennia germinans and Rhizophora mangle) near a rapidly changing range limit in the northeastern Gulf of Mexico: Estuaries and Coasts, v. 45, p. 181-195, https://doi.org/10.1007/s12237-021-00951-0.","productDescription":"15 p.; Data Release","startPage":"181","endPage":"195","ipdsId":"IP-124558","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":396703,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417854,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90NGKNR"}],"country":"United States","state":"Florida","otherGeospatial":"Apalachicola Bay region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -85.40496826171874,\n 29.544787796199465\n ],\n [\n -84.31182861328125,\n 29.544787796199465\n ],\n [\n -84.31182861328125,\n 29.957314210401563\n ],\n [\n -85.40496826171874,\n 29.957314210401563\n ],\n [\n -85.40496826171874,\n 29.544787796199465\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"45","noUsgsAuthors":false,"publicationDate":"2021-07-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Snyder, Caitlin M.","contributorId":218921,"corporation":false,"usgs":false,"family":"Snyder","given":"Caitlin","email":"","middleInitial":"M.","affiliations":[{"id":39940,"text":"Apalachicola National Estuarine Research Reserve, Eastpoint, FL USA","active":true,"usgs":false}],"preferred":false,"id":837010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Feher, Laura 0000-0002-5983-6190","orcid":"https://orcid.org/0000-0002-5983-6190","contributorId":219649,"corporation":false,"usgs":true,"family":"Feher","given":"Laura","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":837011,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Osland, Michael 0000-0001-9902-8692","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":219805,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":837012,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Christopher J.","contributorId":287682,"corporation":false,"usgs":false,"family":"Miller","given":"Christopher J.","affiliations":[{"id":61624,"text":"Saint Leo University, Saint Leo, FL USA","active":true,"usgs":false}],"preferred":false,"id":837013,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hughes, A. Randall","contributorId":177827,"corporation":false,"usgs":false,"family":"Hughes","given":"A.","email":"","middleInitial":"Randall","affiliations":[],"preferred":false,"id":837014,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cummins, Karen L","contributorId":287683,"corporation":false,"usgs":false,"family":"Cummins","given":"Karen","email":"","middleInitial":"L","affiliations":[{"id":39939,"text":"Florida Forest Service, Tallahassee, FL USA","active":true,"usgs":false}],"preferred":false,"id":837015,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70233450,"text":"70233450 - 2022 - Metabolic flexibility of aerobic methanotrophs under anoxic conditions in Arctic lake sediments","interactions":[],"lastModifiedDate":"2022-07-21T14:20:54.621936","indexId":"70233450","displayToPublicDate":"2021-07-01T09:10:39","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3563,"text":"The ISME Journal","active":true,"publicationSubtype":{"id":10}},"title":"Metabolic flexibility of aerobic methanotrophs under anoxic conditions in Arctic lake sediments","docAbstract":"Methane (CH4) emissions from Arctic lakes are a large and growing source of greenhouse gas to the atmosphere with critical implications for global climate. Because Arctic lakes are ice covered for much of the year, understanding the metabolic flexibility of methanotrophs under anoxic conditions would aid in characterizing the mechanisms responsible for limiting CH4 emissions from high-latitude regions. Using sediments from an active CH4 seep in Lake Qalluuraq, Alaska, we conducted DNA-based stable isotope probing (SIP) in anoxic mesocosms and found that aerobic Gammaproteobacterial methanotrophs dominated in assimilating CH4. Aerobic methanotrophs were also detected down to 70 cm deep in sediments at the seep site, where anoxic conditions persist. Metagenomic analyses of the heavy DNA from 13CH4-SIP incubations showed that these aerobic methanotrophs had the capacity to generate intermediates such as methanol, formaldehyde, and formate from CH4 oxidation and to oxidize formaldehyde in the tetrahydromethanopterin (H4MPT)-dependent pathway under anoxic conditions. The high levels of Fe present in sediments, combined with Fe and CH4 profiles in the persistent CH4 seep site, suggested that oxidation of CH4, or, more specifically, its intermediates such as methanol and formaldehyde might be coupled to iron reduction. Aerobic methanotrophs also possessed genes associated with nitrogen and hydrogen metabolism, which might provide potentially alternative energy conservation options under anoxic conditions. These results expand the known metabolic spectrum of aerobic methanotrophs under anoxic conditions and necessitate the re-assessment of the mechanisms underlying CH4 oxidation in the Arctic, especially under lakes that experience extended O2 limitations during ice cover.
","language":"English","publisher":"Springer","doi":"10.1038/s41396-021-01049-y","usgsCitation":"He, R., Wang, J., Pohlman, J., Jia, Z., Chu, Y., Wooller, M.J., and Leigh, M., 2022, Metabolic flexibility of aerobic methanotrophs under anoxic conditions in Arctic lake sediments: The ISME Journal, v. 16, p. 78-90, https://doi.org/10.1038/s41396-021-01049-y.","productDescription":"13 p.","startPage":"78","endPage":"90","ipdsId":"IP-128799","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":449794,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41396-021-01049-y","text":"Publisher Index Page"},{"id":404217,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Lake Qalluuraq","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -157.33983993530273,\n 70.37162716156408\n ],\n [\n -157.3358917236328,\n 70.37301105435802\n ],\n [\n -157.32421875,\n 70.37254976717416\n ],\n [\n -157.32044219970703,\n 70.37390476864225\n ],\n [\n -157.32868194580078,\n 70.37941033946555\n ],\n [\n -157.33580589294434,\n 70.3803325936531\n ],\n [\n -157.34061241149902,\n 70.38269567993811\n ],\n [\n -157.35769271850583,\n 70.38148535282818\n ],\n [\n -157.36258506774902,\n 70.38027495398637\n ],\n [\n -157.3652458190918,\n 70.38027495398637\n ],\n [\n -157.3678207397461,\n 70.37871862149613\n ],\n [\n -157.36679077148438,\n 70.37629742412334\n ],\n [\n -157.35211372375488,\n 70.37600916722498\n ],\n [\n -157.349796295166,\n 70.37534616092293\n ],\n [\n -157.3436164855957,\n 70.37514437212536\n ],\n [\n -157.34121322631833,\n 70.37128117372048\n ],\n [\n -157.33983993530273,\n 70.37162716156408\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","noUsgsAuthors":false,"publicationDate":"2021-07-09","publicationStatus":"PW","contributors":{"authors":[{"text":"He, Ruoying 0000-0001-6158-2292","orcid":"https://orcid.org/0000-0001-6158-2292","contributorId":202189,"corporation":false,"usgs":false,"family":"He","given":"Ruoying","email":"","affiliations":[],"preferred":false,"id":847115,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wang, Jing","contributorId":244863,"corporation":false,"usgs":false,"family":"Wang","given":"Jing","email":"","affiliations":[{"id":49002,"text":"Department of Environmental Engineering, Zhejiang University, Hangzhou 310058, China","active":true,"usgs":false}],"preferred":false,"id":847116,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pohlman, John 0000-0002-3563-4586","orcid":"https://orcid.org/0000-0002-3563-4586","contributorId":220804,"corporation":false,"usgs":true,"family":"Pohlman","given":"John","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":847117,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jia, Zhongjun","contributorId":293493,"corporation":false,"usgs":false,"family":"Jia","given":"Zhongjun","email":"","affiliations":[{"id":63313,"text":"State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China","active":true,"usgs":false}],"preferred":false,"id":847118,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chu, Yi-Xuan","contributorId":244862,"corporation":false,"usgs":false,"family":"Chu","given":"Yi-Xuan","email":"","affiliations":[{"id":49001,"text":"Department of Environmental Engineering, Zhejiang University","active":true,"usgs":false}],"preferred":false,"id":847119,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wooller, Matthew J.","contributorId":267776,"corporation":false,"usgs":false,"family":"Wooller","given":"Matthew","middleInitial":"J.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":847120,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Leigh, Mary Beth","contributorId":244868,"corporation":false,"usgs":false,"family":"Leigh","given":"Mary Beth","affiliations":[{"id":13117,"text":"Institute of Arctic Biology, University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":847121,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70228963,"text":"70228963 - 2022 - Factors affecting staff support of a voluntary nonlead ammunition outreach program","interactions":[],"lastModifiedDate":"2022-02-25T17:08:30.012033","indexId":"70228963","displayToPublicDate":"2021-06-28T11:02:23","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":834,"text":"Applied Environmental Education and Communication","active":true,"publicationSubtype":{"id":10}},"title":"Factors affecting staff support of a voluntary nonlead ammunition outreach program","docAbstract":"Lead poisoning from ingestion of bullet fragments in gut piles and unretrieved deer carcasses continues to cause mortality in bald eagles. To address this issue, the Midwest region of the U.S. Fish and Wildlife Service (USFWS) initiated an outreach program during 2016–2018 encouraging hunters to voluntarily use nonlead ammunition while deer hunting on National Wildlife Refuges (NWRs). We conducted a survey to assess this program using seven factors that might influence USFWS staff support for the nonlead outreach program: innovativeness, lead exposure to bald eagles, availability of training and outreach materials, satisfaction with program implementation, importance of informational materials, and if they were a deer hunter. Multiple linear regression showed attitudes toward eagles’ lead risk and importance of informational materials had the strongest effect on program support, followed by an individual’s innovativeness. Although previous studies have focused on influencing hunters’ nonlead use, our findings show staff attitudes and perceptions about nonlead strongly affect program support and ultimately program outcomes.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/1533015X.2021.1943062","usgsCitation":"Schulz, J.H., Wilhelm Stanis, S., Li, C.J., Morgan, M., and Webb, E.B., 2022, Factors affecting staff support of a voluntary nonlead ammunition outreach program: Applied Environmental Education and Communication, v. 21, no. 1, p. 55-72, https://doi.org/10.1080/1533015X.2021.1943062.","productDescription":"18 p.","startPage":"55","endPage":"72","ipdsId":"IP-123420","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":396500,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-06-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Schulz, J. H.","contributorId":272503,"corporation":false,"usgs":false,"family":"Schulz","given":"J.","email":"","middleInitial":"H.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":836037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilhelm Stanis, S. A.","contributorId":272504,"corporation":false,"usgs":false,"family":"Wilhelm Stanis","given":"S. A.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":836038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, Christine Jie","contributorId":272563,"corporation":false,"usgs":false,"family":"Li","given":"Christine","email":"","middleInitial":"Jie","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":836039,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morgan, Mark","contributorId":282974,"corporation":false,"usgs":false,"family":"Morgan","given":"Mark","email":"","affiliations":[],"preferred":false,"id":836040,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":836041,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70222374,"text":"70222374 - 2022 - Shrub influence on soil carbon and nitrogen in a semi-arid grassland is mediated by precipitation and largely insensitive to livestock grazing","interactions":[],"lastModifiedDate":"2022-02-15T15:33:21.112862","indexId":"70222374","displayToPublicDate":"2021-06-22T07:35:46","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":904,"text":"Arid Land Research and Management","active":true,"publicationSubtype":{"id":10}},"title":"Shrub influence on soil carbon and nitrogen in a semi-arid grassland is mediated by precipitation and largely insensitive to livestock grazing","docAbstract":"Dryland (arid and semi-arid) ecosystems globally provide more than half of livestock production and store roughly one-third of soil organic carbon (SOC). Biogeochemical pools are changing due to shrub encroachment, livestock grazing, and climate change. We assessed how vegetation microsite, grazing, and precipitation interacted to affect SOC and total nitrogen (TN) at a site with long-term grazing manipulations and well-described patterns of shrub encroachment across elevation and mean annual precipitation (MAP) gradients. We analyzed SOC and TN in the context of vegetation cover at ungrazed locations within livestock exclosures, high-intensity grazing locations near water sources, and moderate-intensity grazing locations away from water. SOC was enhanced by MAP (p < 0.0001), but grazing intensity had little effect regardless of MAP (p = 0.12). Shrubs enhanced SOC (300–1279 g C m−2) and TN (27–122 g N m−2), except at high MAP where the contribution or stabilization of shrub inputs relative to grassland inputs was likely diminished. Cover of perennial herbaceous plants and litter were significant predictors of SOC (r2 = 0.63 and 0.34, respectively) and TN (r2 = 0.64 and 0.30, respectively). Our results suggest that continued shrub encroachment in drylands can increase SOC storage when grass production remains high, although this response may saturate with higher MAP. In contrast, grazing – at least at the intensities of our sites – has a lesser effect. These effects underscore the need to understand how future climate and grazing may interact to influence dryland biogeochemical cycling.
","language":"English","publisher":"Taylor and Francis","doi":"10.1080/15324982.2021.1952660","usgsCitation":"Throop, H.L., Munson, S.M., Hornslein, N., and McClaran, M., 2022, Shrub influence on soil carbon and nitrogen in a semi-arid grassland is mediated by precipitation and largely insensitive to livestock grazing: Arid Land Research and Management, v. 36, no. 1, p. 27-46, https://doi.org/10.1080/15324982.2021.1952660.","productDescription":"20 p.","startPage":"27","endPage":"46","ipdsId":"IP-126222","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":387410,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Throop, Heather L. 0000-0002-7963-4342","orcid":"https://orcid.org/0000-0002-7963-4342","contributorId":139051,"corporation":false,"usgs":false,"family":"Throop","given":"Heather","email":"","middleInitial":"L.","affiliations":[{"id":12633,"text":"Biology Department, New Mexico State University, Las Cruces, NM","active":true,"usgs":false}],"preferred":false,"id":819848,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":819849,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hornslein, Nicole","contributorId":261340,"corporation":false,"usgs":false,"family":"Hornslein","given":"Nicole","email":"","affiliations":[{"id":52828,"text":"School of Earth and Space Exploration, Arizona State University, Tempe, AZ 85287, USA","active":true,"usgs":false}],"preferred":false,"id":819850,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McClaran, Mitchel P","contributorId":261341,"corporation":false,"usgs":false,"family":"McClaran","given":"Mitchel P","affiliations":[{"id":52829,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ 85721-0043, USA","active":true,"usgs":false}],"preferred":false,"id":819851,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70222554,"text":"70222554 - 2022 - ShakeMap operations, policies, and procedures","interactions":[],"lastModifiedDate":"2022-02-15T15:34:51.442975","indexId":"70222554","displayToPublicDate":"2021-06-22T06:33:28","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"ShakeMap operations, policies, and procedures","docAbstract":"The US Geological Survey’s ShakeMap is used domestically and globally for post-earthquake emergency management and response, engineering analyses, financial instruments, and other decision-making activities. Recent developments in the insurance, reinsurance, and catastrophe bond sectors link payouts of potentially hundreds of millions of dollars to ShakeMap products. Similarly, building codes, post-earthquake building damage forensic evaluations, and geotechnical evaluations often rely on estimated peak response-spectral values for site-specific evaluations that may lead to costly analyses, retrofits, or other expenditures. Given such activities, financial, engineering, and other technical users demand processing specifications and a metadata trail for actuarial, escrow, and forensic purposes for each significant earthquake. Recent inquiries include how and why maps change with time, how to interpret metadata, and how to obtain the creation and update history of various map layers. Similarly, the collection of ShakeMap scenarios and historical ShakeMaps—either created in earlier versions or rerun as part of the latest version of the ShakeMap Atlas—warrant a full explanation of the inputs, processing, and archiving given their contribution to fragility curve development and loss model calibration. For these reasons, in addition to event-specific ShakeMap metadata and a comprehensive online ShakeMap Manual, we have crafted this practice paper to answer several of the most frequently asked technical questions. We also describe an application programming interface (API) for accessing site-specific shaking metrics and their uncertainties for earthquake forensic purposes in a consistent fashion. In all, we describe the advantages of employing ShakeMaps for these critical purposes as well as describe their limitations and uncertainties, offering an extensive set of instructions and disclaimers that can be referenced by ShakeMap users.
","language":"English","publisher":"Sage Journals","doi":"10.1177/87552930211030298","usgsCitation":"Wald, D.J., Worden, C., Thompson, E.M., and Hearne, M., 2022, ShakeMap operations, policies, and procedures: Earthquake Spectra, v. 38, no. 1, p. 756-777, https://doi.org/10.1177/87552930211030298.","productDescription":"22 p.","startPage":"756","endPage":"777","ipdsId":"IP-129253","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":436064,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94RJYCS","text":"USGS data release","linkHelpText":"ShakeMap Sampling Tool"},{"id":387671,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","city":"Napa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.4041748046875,\n 38.21444607848999\n ],\n [\n -122.16247558593751,\n 38.21444607848999\n ],\n [\n -122.16247558593751,\n 38.37611542403604\n ],\n [\n -122.4041748046875,\n 38.37611542403604\n ],\n [\n -122.4041748046875,\n 38.21444607848999\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"38","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-07-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Wald, David J. 0000-0002-1454-4514 wald@usgs.gov","orcid":"https://orcid.org/0000-0002-1454-4514","contributorId":795,"corporation":false,"usgs":true,"family":"Wald","given":"David","email":"wald@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820540,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Worden, Charles 0000-0003-1181-685X cbworden@usgs.gov","orcid":"https://orcid.org/0000-0003-1181-685X","contributorId":152042,"corporation":false,"usgs":true,"family":"Worden","given":"Charles","email":"cbworden@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820541,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":150897,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820542,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hearne, Mike 0000-0002-8225-2396 mhearne@usgs.gov","orcid":"https://orcid.org/0000-0002-8225-2396","contributorId":4659,"corporation":false,"usgs":true,"family":"Hearne","given":"Mike","email":"mhearne@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":820543,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70254936,"text":"70254936 - 2022 - Multivariate Bayesian clustering using covariate-informed components with application to boreal vegetation sensitivity","interactions":[],"lastModifiedDate":"2024-06-11T15:07:14.9712","indexId":"70254936","displayToPublicDate":"2021-06-18T10:00:09","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1039,"text":"Biometrics","active":true,"publicationSubtype":{"id":10}},"title":"Multivariate Bayesian clustering using covariate-informed components with application to boreal vegetation sensitivity","docAbstract":"Climate change is impacting both the distribution and abundance of vegetation, especially in far northern latitudes. The effects of climate change are different for every plant assemblage and vary heterogeneously in both space and time. Small changes in climate could result in large vegetation responses in sensitive assemblages but weak responses in robust assemblages. But, patterns and mechanisms of sensitivity and robustness are not yet well understood, largely due to a lack of long-term measurements of climate and vegetation. Fortunately, observations are sometimes available across a broad spatial extent. We develop a novel statistical model for a multivariate response based on unknown cluster-specific effects and covariances, where cluster labels correspond to sensitivity and robustness. Our approach utilizes a prototype model for cluster membership that offers flexibility while enforcing smoothness in cluster probabilities across sites with similar characteristics. We demonstrate our approach with an application to vegetation abundance in Alaska, USA, in which we leverage the broad spatial extent of the study area as a proxy for unrecorded historical observations. In the context of the application, our approach yields interpretable site-level cluster labels associated with assemblage-level sensitivity and robustness without requiring strong a priori assumptions about the drivers of climate sensitivity.
","language":"English","publisher":"Oxford Academic","doi":"10.1111/biom.13507","usgsCitation":"Scharf, H.R., Raiho, A.M., Pugh, S., Roland, C.A., Swanson, D., Stehn, S.E., and Hooten, M., 2022, Multivariate Bayesian clustering using covariate-informed components with application to boreal vegetation sensitivity: Biometrics, v. 78, no. 4, p. 1427-1440, https://doi.org/10.1111/biom.13507.","productDescription":"14 p.","startPage":"1427","endPage":"1440","ipdsId":"IP-119567","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":429877,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Denali National Park and Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -148.99881777589104,\n 64.00887382817564\n ],\n [\n -150.90884155174135,\n 64.041197362661\n ],\n [\n -151.7868734550507,\n 64.08774410941011\n ],\n [\n -152.9460496500005,\n 63.782134495939545\n ],\n [\n -152.88639840190885,\n 62.28110828523958\n ],\n [\n -151.75861699267762,\n 62.28489348947565\n ],\n [\n -151.1597743848834,\n 62.454907128588\n ],\n [\n -150.91883926563864,\n 62.618022201463916\n ],\n [\n -150.27292809489717,\n 62.65550366893268\n ],\n [\n -148.80774431364787,\n 63.44079256086752\n ],\n [\n -148.99881777589104,\n 64.00887382817564\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"78","issue":"4","noUsgsAuthors":false,"publicationDate":"2021-07-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Scharf, Henry R.","contributorId":206652,"corporation":false,"usgs":false,"family":"Scharf","given":"Henry","email":"","middleInitial":"R.","affiliations":[{"id":37371,"text":"Colorado State University, Department of Statistics","active":true,"usgs":false}],"preferred":false,"id":902931,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Raiho, Ann M.","contributorId":171526,"corporation":false,"usgs":false,"family":"Raiho","given":"Ann","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":902932,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pugh, Sierra","contributorId":338067,"corporation":false,"usgs":false,"family":"Pugh","given":"Sierra","email":"","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":902933,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roland, Carl A.","contributorId":338070,"corporation":false,"usgs":false,"family":"Roland","given":"Carl","email":"","middleInitial":"A.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":902934,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swanson, David K.","contributorId":338073,"corporation":false,"usgs":false,"family":"Swanson","given":"David K.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":902935,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stehn, Sarah E.","contributorId":338076,"corporation":false,"usgs":false,"family":"Stehn","given":"Sarah","email":"","middleInitial":"E.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":902936,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false}],"preferred":true,"id":902930,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70221852,"text":"70221852 - 2022 - Cohort strength and body size in co-occurring salmonids in a small stream network: Variation in space and time","interactions":[],"lastModifiedDate":"2022-02-15T15:32:18.591224","indexId":"70221852","displayToPublicDate":"2021-06-11T12:43:13","publicationYear":"2022","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":"Cohort strength and body size in co-occurring salmonids in a small stream network: Variation in space and time","docAbstract":"Trout and salmon commonly coexist in stream networks. Exploring similarities and differences among species can help explain coexistence and invasive ability. Here, we describe spatial distribution, cohort strengths and size-at-age of three co-occurring species in a small stream network. Spatial distributions varied dramatically among species; native brook trout occupied all stream reaches, naturalized brown trout were found in the mainstem and lower portions of tributaries and fry-stocked Atlantic salmon were limited to the mainstem. Size-at-age also differed among species, Atlantic salmon were consistently the smallest, brook trout were intermediate in size and brown trout were the largest. Despite size differences, mean lengths of brook trout and brown trout were highly correlated among years. Cohort strengths varied considerably across years but were also highly correlated for the two trout species, suggesting strong environmental control on cohort strength and a reduced role for species interactions. At low densities, we observed strong negative effects of density on body sizes and weaker effects otherwise. Overall, these results suggest differences in spatial distribution combined with similarities in response to environmental variation contribute to species coexistence in this small steam network.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2020-0418","usgsCitation":"Letcher, B., Nislow, K.H., O’Donnell, M., Whiteley, A.R., Coombs, J.A., and Dubreuil, T.L., 2022, Cohort strength and body size in co-occurring salmonids in a small stream network: Variation in space and time: Canadian Journal of Fisheries and Aquatic Sciences, v. 79, no. 1, p. 133-147, https://doi.org/10.1139/cjfas-2020-0418.","productDescription":"15 p.","startPage":"133","endPage":"147","ipdsId":"IP-123711","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":449804,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/108260","text":"External Repository"},{"id":387136,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"79","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Letcher, Benjamin 0000-0003-0191-5678","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":242666,"corporation":false,"usgs":true,"family":"Letcher","given":"Benjamin","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":819000,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nislow, Keith H.","contributorId":103564,"corporation":false,"usgs":true,"family":"Nislow","given":"Keith","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":819001,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O’Donnell, Matthew 0000-0002-9089-2377 mjodonnell@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-2377","contributorId":167315,"corporation":false,"usgs":true,"family":"O’Donnell","given":"Matthew","email":"mjodonnell@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":819002,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whiteley, Andrew R.","contributorId":52072,"corporation":false,"usgs":false,"family":"Whiteley","given":"Andrew","email":"","middleInitial":"R.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":819003,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coombs, Jason A.","contributorId":77039,"corporation":false,"usgs":true,"family":"Coombs","given":"Jason","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":819004,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dubreuil, Todd L. 0000-0003-0189-4336 tdubreuil@usgs.gov","orcid":"https://orcid.org/0000-0003-0189-4336","contributorId":5552,"corporation":false,"usgs":true,"family":"Dubreuil","given":"Todd","email":"tdubreuil@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":819005,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70221167,"text":"70221167 - 2022 - Short communication: evidence for geologic control of rip channels along Prince Edward Island, Canada","interactions":[],"lastModifiedDate":"2022-03-15T15:55:06.481082","indexId":"70221167","displayToPublicDate":"2021-06-03T07:44:41","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3059,"text":"Physical Geography","active":true,"publicationSubtype":{"id":10}},"title":"Short communication: evidence for geologic control of rip channels along Prince Edward Island, Canada","docAbstract":"Rip currents can move unsuspecting swimmers offshore rapidly and represent a significant risk to beach users worldwide, including along the northern coast of Prince Edward Island (PEI), Canada. Although many rip currents are ephemeral and/or spatially variable in response to changes in the nearshore bar morphology and wave and tidal forcing, it is possible for rip channels to be geologically controlled and quasi-permanent in morphology, location, and flow. Several rip channels along the northern coast of PEI appear in the same location from year to year and correspond to elongated lakes, rivers, or swales behind the modern coastal dune system. Given their persistent location and alignment with back dune hydrology, ground-penetrating radar surveys were collected along Brackley and Cavendish Beaches in July 2019 to determine whether persistent rip channels are associated with now-buried river channels extending beneath the modern dunes and continuing offshore. Strong reflectors similar to V-shaped river valleys are present in alongshore transects at both beaches. These infilled valleys align with back-dune hydrology and persistent rip channels, suggesting modern rip channels are structurally controlled and maintained by antecedent geology. This link provides important guidance to beach access management and the distribution of lifesaving strategies along the affected beaches.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02723646.2021.1923389","usgsCitation":"Wernette, P., and Houser, C., 2022, Short communication: evidence for geologic control of rip channels along Prince Edward Island, Canada: Physical Geography, v. 43, no. 2, p. 145-162, https://doi.org/10.1080/02723646.2021.1923389.","productDescription":"18 p.","startPage":"145","endPage":"162","ipdsId":"IP-118879","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":386200,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","otherGeospatial":"Prince Edward Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -64.434814453125,\n 45.909122123907295\n ],\n [\n -61.85852050781249,\n 45.909122123907295\n ],\n [\n -61.85852050781249,\n 47.16730970131578\n ],\n [\n -64.434814453125,\n 47.16730970131578\n ],\n [\n -64.434814453125,\n 45.909122123907295\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"43","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Wernette, Phillipe Alan 0000-0002-8902-5575","orcid":"https://orcid.org/0000-0002-8902-5575","contributorId":259274,"corporation":false,"usgs":true,"family":"Wernette","given":"Phillipe Alan","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":816925,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Houser, Chris 0000-0002-7880-7619","orcid":"https://orcid.org/0000-0002-7880-7619","contributorId":259276,"corporation":false,"usgs":false,"family":"Houser","given":"Chris","email":"","affiliations":[{"id":52343,"text":"University of Windsor, School of the Environment","active":true,"usgs":false}],"preferred":false,"id":816926,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70226839,"text":"70226839 - 2022 - Eye lenses reveal ontogenetic trophic and habitat shifts in an imperiled fish, Clear Lake hitch (Lavinia exilicauda chi)","interactions":[],"lastModifiedDate":"2022-01-25T17:32:36.593574","indexId":"70226839","displayToPublicDate":"2021-06-03T06:50:15","publicationYear":"2022","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}},"displayTitle":"Eye lenses reveal ontogenetic trophic and habitat shifts in an imperiled fish, Clear Lake hitch (Lavinia exilicauda chi)","title":"Eye lenses reveal ontogenetic trophic and habitat shifts in an imperiled fish, Clear Lake hitch (Lavinia exilicauda chi)","docAbstract":"A central challenge in applied ecology is understanding the effect of anthropogenic fatalities on wildlife populations and predicting which populations may be particularly vulnerable and in greatest need of management attention. We used 3 approaches to investigate potential effects of fatalities from collisions with wind turbines on 14 raptor species for both current (106 GW) and anticipated future (241 GW) levels of installed wind energy capacity in the United States. Our goals were to identify species at relatively high vs low risk of experiencing population declines from turbine collisions and to also compare results generated from these approaches. Two of the approaches used a calculated turbine-caused mortality rate to decrement population growth, where population trends were derived either from the North American Breeding Bird Survey or a matrix model parameterized from literature-derived demographic values. The third approach was potential biological removal, which estimates the number of fatalities that allow a population to reach and maintain its optimal sustainable population set by management concerns. Different results among the methods reveal substantial gaps in knowledge and uncertainty in both demographic parameters and species-specific estimates of fatalities from wind turbines. Our results suggest that, of the 14 species studied, those with relatively higher potential of population-level impacts from wind turbine collisions included barn owl, ferruginous hawk, golden eagle, American kestrel, and red-tailed hawk. Burrowing owl, Cooper’s hawk, great horned owl, northern harrier, turkey vulture, and osprey had a relatively lower potential for population impacts, and results were not easily interpretable for merlin, prairie falcon, and Swainson’s hawk. Projections of current levels of fatalities to future wind energy scenarios at 241 GW of installed capacity suggest some species could experience population declines because of turbine collisions. Populations of those species may benefit from research to identify tools to prevent or reduce raptor collisions with wind turbines.
","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.3531","usgsCitation":"Diffendorfer, J., Stanton, J.C., Beston, J.A., Thogmartin, W.E., Loss, S., Katzner, T., Johnson, D., Erickson, R.A., Merrill, M., and Corum, M.D., 2022, Demographic and potential biological removal models identify raptor species sensitive to current and future wind energy: Ecosphere, v. 12, no. 6, e03531, 17 p., https://doi.org/10.1002/ecs2.3531.","productDescription":"e03531, 17 p.","ipdsId":"IP-108806","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":488848,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3531","text":"Publisher Index Page"},{"id":403472,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-06-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":846312,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stanton, Jessica C. 0000-0002-6225-3703 jcstanton@usgs.gov","orcid":"https://orcid.org/0000-0002-6225-3703","contributorId":5634,"corporation":false,"usgs":true,"family":"Stanton","given":"Jessica","email":"jcstanton@usgs.gov","middleInitial":"C.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":846313,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beston, Julie A. jbeston@usgs.gov","contributorId":5673,"corporation":false,"usgs":true,"family":"Beston","given":"Julie","email":"jbeston@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":846314,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":846315,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loss, Scott R.","contributorId":140471,"corporation":false,"usgs":false,"family":"Loss","given":"Scott R.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":846316,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":846317,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Douglas H. 0000-0002-7778-6641","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":220516,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":846318,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":846319,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Merrill, Matthew D. 0000-0003-3766-847X","orcid":"https://orcid.org/0000-0003-3766-847X","contributorId":205698,"corporation":false,"usgs":true,"family":"Merrill","given":"Matthew D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":846320,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Corum, Margo D. 0000-0002-9038-3935","orcid":"https://orcid.org/0000-0002-9038-3935","contributorId":210593,"corporation":false,"usgs":true,"family":"Corum","given":"Margo","email":"","middleInitial":"D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":846321,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70221324,"text":"70221324 - 2022 - Material properties and triggering mechanisms of an andesitic lava dome collapse at Shiveluch Volcano, Kamchatka, Russia, revealed using the finite element method","interactions":[],"lastModifiedDate":"2022-06-01T15:05:16.853818","indexId":"70221324","displayToPublicDate":"2021-06-01T07:36:41","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3306,"text":"Rock Mechanics and Rock Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Material properties and triggering mechanisms of an andesitic lava dome collapse at Shiveluch Volcano, Kamchatka, Russia, revealed using the finite element method","docAbstract":"Shiveluch volcano (Kamchatka, Russia) is an active andesitic volcano with a history of explosive activity, dome extrusion, and structural collapse during the Holocene. The most recent major (> 1 km3) dome collapse occurred in November 1964, producing a ~ 1.5 km3 debris avalanche that traveled over 15 km from the vent and triggered a phreatic explosion followed by a voluminous (~ 0.8 km3) eruption of juvenile pyroclastic material. Seismic records suggest that the collapse was likely triggered by a magnitude 5.1 earthquake associated with the ascent of magma into the edifice. The geomechanical properties of the pre-1964 dome are unknown; accordingly, the mechanics of the collapse are poorly understood. This project employs numerical slope stability modeling using the finite element method to constrain probable ranges of geomechanical properties for the materials involved in the collapse, considering earthquake loading as the most likely triggering mechanism. Model results show good agreement with the 1964 collapse geometry considering Geological Strength Index and horizontal pseudo-static seismic coefficient ranges of 30–60 and 0.05–0.15 g, respectively, representing variably fractured and altered dome rocks under moderate earthquake loading, confirming that ground acceleration alone could have triggered the dome collapse. Deep-seated rotational sliding is the dominant failure mode, but local extension within the dome during failure appears to play an important role in the development of the collapse. The findings of this work allow for better forward modeling of potential future collapses, the results of which can be incorporated into regional hazard and risk assessments.
Oyster reef chains grow in response to local hydrodynamics and can redirect flows, particularly when reef chains grow perpendicular to freshwater flow paths. Singularly, oyster reef chains can act as porous dams that may facilitate nearshore accumulation of fresh or low-salinity water, in turn creating intermediate salinities that support oyster growth and estuarine conditions. However, oyster-driven freshwater detention has only been confirmed by limited, point-scale observational data, and simplified models. Oyster reef-driven freshwater detention in real ecosystems at the estuary scale remains largely unexplored. In this study, we analyzed the visible bands in 30-m resolution remote sensing (RS) images recorded by the Operational Land Imager aboard Landsat-8 to characterize the freshwater detention effect of oyster reef chains across a set of hydrologic conditions. Our results support prior findings indicating that 30-m resolution RS images recorded by the Operational Land Imager aboard Landsat-8 are useful for analyzing coastal dynamics after atmospheric correction, despite having been originally designed for terrestrial studies. Statistical models of water-leaving reflectance revealed that freshwater detention by oyster reefs was evident across the estuary, with the greatest effect occurring in the region closest to shore. Additionally, statistical modeling results and spatial patterns apparent in the satellite images suggested that reef-driven freshwater detention occurred under high riverine discharge conditions, but was less evident when flow was low. Beyond offering insight on the potential role of oyster reefs as mediators of estuarine hydrology, this study presents a transferable methodological framework for exploring estuarine biophysical feedbacks in blackwater river estuaries using satellite remote sensing.
Biotelemetry of Atlantic sturgeon Acipenser oxyrinchus oxyrinchus has exposed spawning behaviors in ever-smaller estuaries, surprising for the NW Atlantic’s largest anadromous species. Small estuary — the Nanticoke River and Marshyhope Creek (Chesapeake Bay) — spawning-run adults and their habitat affinities are described based upon direct sampling and biotelemetry for the period 2014–2018. High rates of recapture over this period indicate a very small adult population size. Genetics revealed a very small effective population size (Ne = 12.2, 95% CI = 6.7–21.9). Most returns occurred during September at 20–27 °C. All fish departed as fall temperatures declined below 20 °C. Multi-beam sonar identified small-dispersed areas of sand-cobble and cobble, which could support adhesive embryo attachment. Movements of adults were higher during nighttime than daytime, with habitat preference for hard bottom habitats. Genetic evidence indicates that the sudden discovery of this population was unrelated to a hatchery release of several thousand juvenile sturgeon (Hudson River progeny) in 1997. The newly discovered population in the Nanticoke River exhibits a degree of resilience including multiple spawning regions and suitable spawning habitat. Still, critical vulnerabilities persist including curtailed habitat, continued agricultural and maritime development, invasive blue catfish, and a very small apparent population size.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/23308249.2021.1924617","usgsCitation":"Secor, D.H., O’Brien, M.H., Coleman, N., Horne, A., Park, I., Kazyak, D., Bruce, D.G., and Stence, C., 2022, Atlantic sturgeon status and movement ecology in an extremely small spawning habitat: The Nanticoke River-Marshyhope Creek, Chesapeake Bay: Reviews in Fisheries Science and Aquaculture, v. 30, no. 2, p. 195-214, https://doi.org/10.1080/23308249.2021.1924617.","productDescription":"20 p.","startPage":"195","endPage":"214","ipdsId":"IP-126059","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":385977,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland","otherGeospatial":"Nanticoke River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.87432861328125,\n 38.20581359813473\n ],\n [\n -75.56396484375,\n 38.62974534092597\n ],\n [\n -75.79193115234374,\n 38.76050866911151\n ],\n [\n -75.98693847656249,\n 38.31795595794451\n ],\n [\n -75.87432861328125,\n 38.19718009396176\n ],\n [\n -75.87432861328125,\n 38.20581359813473\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"30","issue":"2","noUsgsAuthors":false,"publicationDate":"2021-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Secor, D. H. 0000-0001-6007-4827","orcid":"https://orcid.org/0000-0001-6007-4827","contributorId":258784,"corporation":false,"usgs":false,"family":"Secor","given":"D.","email":"","middleInitial":"H.","affiliations":[{"id":52289,"text":"UMCES Chesapeake Biological Laboratory","active":true,"usgs":false}],"preferred":false,"id":816495,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Brien, M. H. P. 0000-0003-1420-6395","orcid":"https://orcid.org/0000-0003-1420-6395","contributorId":258785,"corporation":false,"usgs":false,"family":"O’Brien","given":"M.","email":"","middleInitial":"H. P.","affiliations":[{"id":52289,"text":"UMCES Chesapeake Biological Laboratory","active":true,"usgs":false}],"preferred":false,"id":816496,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coleman, N.","contributorId":258786,"corporation":false,"usgs":false,"family":"Coleman","given":"N.","email":"","affiliations":[{"id":52289,"text":"UMCES Chesapeake Biological Laboratory","active":true,"usgs":false}],"preferred":false,"id":816497,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Horne, A.","contributorId":150968,"corporation":false,"usgs":false,"family":"Horne","given":"A.","email":"","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":816498,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Park, I.","contributorId":258801,"corporation":false,"usgs":false,"family":"Park","given":"I.","email":"","affiliations":[],"preferred":false,"id":816499,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":816500,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bruce, D. G.","contributorId":258787,"corporation":false,"usgs":false,"family":"Bruce","given":"D.","email":"","middleInitial":"G.","affiliations":[{"id":36612,"text":"National Marine Fisheries Service","active":true,"usgs":false}],"preferred":false,"id":816501,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stence, C 0000-0001-6915-0291","orcid":"https://orcid.org/0000-0001-6915-0291","contributorId":258788,"corporation":false,"usgs":false,"family":"Stence","given":"C","affiliations":[{"id":52292,"text":"MD Dept of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":816502,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70220680,"text":"70220680 - 2022 - A socio-ecological imperative for broadening participation in coastal and estuarine research and management","interactions":[],"lastModifiedDate":"2022-01-06T17:08:52.103275","indexId":"70220680","displayToPublicDate":"2021-05-18T07:25:07","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"A socio-ecological imperative for broadening participation in coastal and estuarine research and management","docAbstract":"For most of the scientific disciplines associated with coastal and estuarine research, workforce representation does not match the demographics of communities we serve, especially for Black, Hispanic or Latino, and Indigenous peoples. This essay provides an overview of this inequity and identifies how a scientific society can catalyze representational, structural, and interactional diversity to achieve greater inclusion. Needed changes go beyond representational diversity and require an intentional commitment to build capacity through inclusivity and community engagement by supporting anti-racist policies and actions. We want to realize a sense of belonging on the part of scientists in society at large and enable research pursuits through a lens of social justice in service of coastal communities. Minimally, this framework offers an avenue for increased recruitment of individuals from more diverse racial and ethnic identities. More broadly, the mechanisms described here aim to create a culture in scientific societies in which social justice, driven by anti-racist actions, produces systemic change in how members of scientific societies approach, discuss, and address issues of inequity. We have written this essay for members of the coastal and marine science community who are interested in change. We aim to call in new voices, allies, and champions to this work.