In this study we illustrate the value of social data compiled at the community scale to guide a local wildfire mitigation and education effort. The four contiguous fire-prone study communities in North Central Washington, US, fall within the same jurisdictional fire service boundary and within one US census block group. Across the four communities, similar attitudes toward wildfire were observed. However, significant differences were found on the measures critical to tailoring wildfire preparation and mitigation programs to the local context such as risk mitigation behaviors, reported barriers to mitigation, and communication preferences across the four communities.
One Health involves interdisciplinary collaboration to improve, protect, and preserve the health of humans, wildlife, and ecosystems, and advocates for unified approaches to One Health challenges (Buttke et al. 2015). Here, we focus on a One Health challenge of nearly global distribution: Yersinia pestis, the flea-borne bacterial agent of plague. The bacterium poses a significant risk to humans and wildlife, causing social strife in some regions and transforming ecosystems (Eads and Biggins 2015). The conservation implications are profound in the western United States, where Y. pestis was first introduced in 1900. Considerable effort is devoted to plague mitigation, sometimes for human or wildlife health purposes separately. We present a synergy between plague mitigation for human and wildlife health.
","language":"English","publisher":"Society of Vector Ecology","doi":"10.52707/1081-1710-47.2.227","usgsCitation":"Eads, D.A., Buehler, L., Esbenshade, A., Fly, J., Miller, E., Redmond, H., Ritter, E., Tynes, C., Wittmann, S., Roghair, P., and Childers, E., 2022, One Health in action: Flea control and interpretative education at Badlands National Park: Journal of Vector Ecology, v. 47, no. 2, p. 227-229, https://doi.org/10.52707/1081-1710-47.2.227.","productDescription":"3 p.","startPage":"227","endPage":"229","ipdsId":"IP-136607","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":489203,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.unl.edu/usgsstaffpub/1231","text":"External Repository"},{"id":435654,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WOCEI6","text":"USGS data release","linkHelpText":"Data on flea control using fipronil grain bait with black-tailed prairie dogs at Badlands National Park, South Dakota, 2020-2021"},{"id":409495,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","otherGeospatial":"Badlands National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -103.10608176640581,\n 44.20717109803536\n ],\n [\n -103.10608176640581,\n 43.35087130034995\n ],\n [\n -101.283125471254,\n 43.35087130034995\n ],\n [\n -101.283125471254,\n 44.20717109803536\n ],\n [\n -103.10608176640581,\n 44.20717109803536\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"47","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Eads, David A. 0000-0002-4247-017X 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The ASLO Raelyn Cole Editorial Fellows have developed several peer review training resources, including a webinar (https://www.youtube.com/watch?v=utntl1VGy5g), editorial (Gradoville and Deemer 2022), and review (Falkenberg and Soranno 2018). One key issue identified in our webinar is that English language issues present significant challenges, both for authors and for reviewers. Indeed, the use of English as the primary language of science is a source of inequity (Ramírez-Castañeda 2020) that can lead to disadvantages for English as a second language (ESL) authors and reviewers.
","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography (ASLO)","doi":"10.1002/lob.10529","usgsCitation":"Gradoville, M.R., Deemer, B., and van Dorst, R.M., 2022, Peer review by and for non-native English speakers: Interacting across international limnology societies: Bulletin Limnology and Oceanography, v. 31, no. 4, p. 127-128, https://doi.org/10.1002/lob.10529.","productDescription":"2 p.","startPage":"127","endPage":"128","ipdsId":"IP-145179","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":409794,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-10-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Gradoville, Mary R.","contributorId":292580,"corporation":false,"usgs":false,"family":"Gradoville","given":"Mary","email":"","middleInitial":"R.","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":853277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deemer, Bridget R. 0000-0002-5845-1002 bdeemer@usgs.gov","orcid":"https://orcid.org/0000-0002-5845-1002","contributorId":198160,"corporation":false,"usgs":true,"family":"Deemer","given":"Bridget","email":"bdeemer@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":853278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van Dorst, Renee M.","contributorId":297097,"corporation":false,"usgs":false,"family":"van Dorst","given":"Renee","email":"","middleInitial":"M.","affiliations":[{"id":64290,"text":"Department of Wildlife, Fish and Environmental Studies, Swedish University of Agricultural Sciences, Umeå, Sweden","active":true,"usgs":false}],"preferred":false,"id":853279,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70240698,"text":"70240698 - 2022 - Migration and energetics model predicts delayed migration and likely starvation in oiled waterbirds","interactions":[],"lastModifiedDate":"2023-02-15T12:36:13.526653","indexId":"70240698","displayToPublicDate":"2022-10-14T06:33:56","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Migration and energetics model predicts delayed migration and likely starvation in oiled waterbirds","docAbstract":"Oil spills can inflict mortality and injury on bird populations; many of these deaths involve starvation resulting from thermoregulatory costs incurred by oiling of birds’ feathers. However, the fates and responses of sublethally oiled birds are poorly known. Due to this knowledge gap and the potential for birds to die far from the spill site, resource risk and injury assessors need tools to make informed estimates for delayed deaths and lost reproductive capacity in these birds. Focusing on the thermoregulatory cost of oiled feathers, we present a model addressing one facet of the effects of sublethal oiling on birds. Using mallard-like ducks as a model organism, we combined values from previous laboratory studies of oiled birds with a modified version of an existing temperature-influenced avian migration energetics model. Using this model, we examined the potential effects of oiling on general migration patterns, changes in energetic gains required to compensate for oiling, and starvation. We assessed all metrics across multiple oiling severities; we assessed starvation across both oiling severity and body condition. Median estimates for delays in spring migration were one to two months for trace and lightly oiled birds, and we predicted arrested spring migration in moderately oiled birds. Median estimates of required increases in energetic gains to offset costs of increased thermoregulation ranged from 20.3% to 88.6% depending on severity of oiling. We predicted starvation within four weeks for most combinations of oiling severity and body condition at the median predicted minimum wintering temperature of unoiled birds (-4.9°C). However, at the average winter temperature of the southernmost model latitude (10.8°C), we predicted only moderately oiled birds in less-than-excellent body condition had the potential to starve within a four-week time frame. Due to the potential for even trace oiling to delay spring migration and decrease body condition, the thermoregulatory costs of sublethal oiling during spring migration could reduce a bird's reproductive capacity. Future research integrating this initial energetics-based model into a spatially explicit, population scale migration model could provide additional insight into the potential effects of sublethal oiling on reproduction and survival. Such an integrated model could strengthen risk predictions and injury assessments for birds subjected to sublethal oiling.
We used two datasets to investigate the reliability of plumage for sexing adult Ruddy Turnstones Arenaria interpres of the morinella subspecies during May and early June in Delaware Bay, on the Mid-Atlantic Coast of the United States (39.1202°N, 75.2479°W). We first examined 23 years of data on the capture and recapture of 1,818 individual Ruddy Turnstones to assess the consistency of observers with varying levels of expertise in assigning sex using plumage criteria. Among birds recaptured once, the sex recorded for about 10% differed between captures. This increased to about 16% among birds recaptured more than once. Significantly more birds sexed as females early in the season (during 1–12 May) were later sexed as males than vice versa. This suggests that early-season captures may include birds still in non- (or partial) breeding plumage, which can be confused with female breeding plumage. Second, we compared plumage-based and genetic assessments of sex for 66 Ruddy Turnstones captured in Delaware Bay on 29 May 2016 and 19 May 2017; these individuals were sexed in the hand by an expert on shorebird plumages. Plumage-based and molecular assessments differed in only one case. This suggests that fewer birds will be wrongly sexed on plumage if more care is taken and better instruction is given to observers (including how to distinguish non- breeding plumage from female breeding plumage). We suggest simple procedures to reduce field-sexing errors for Ruddy Turnstones based on plumage.
","language":"English","publisher":"International Wader Study Group","doi":"10.18194/ws.00274","usgsCitation":"Fullagar, P.J., Chesser, R., Sitters, H.P., Davey, C.C., Niles, L., Drovetski, S.V., and Cortes-Rodriguez, M., 2022, An evaluation of the reliability of plumage characters for sexing adult Ruddy Turnstones Arenaria interpres morinella during northward passage in eastern North America: Wader Study, v. 129, no. 2, p. 138-147, https://doi.org/10.18194/ws.00274.","productDescription":"10 p.","startPage":"138","endPage":"147","ipdsId":"IP-133440","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":408208,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, New Jersey, Pennsylvania","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 -75.09979248046875,\n 38.76479194327964\n ],\n [\n -74.94598388671875,\n 38.94232097947902\n ],\n [\n -74.87457275390625,\n 39.095962936305476\n ],\n [\n -74.85260009765625,\n 39.17478791493289\n ],\n [\n -74.8828125,\n 39.22587043822116\n ],\n [\n -75.13824462890625,\n 39.24288969082635\n ],\n [\n -75.23162841796875,\n 39.31517545076218\n ],\n [\n -75.27557373046875,\n 39.32579941789298\n ],\n [\n -75.311279296875,\n 39.36190883564925\n ],\n [\n -75.3662109375,\n 39.37677199661635\n ],\n [\n -75.44586181640625,\n 39.45316112807394\n ],\n [\n -75.51177978515625,\n 39.48284540453334\n ],\n [\n -75.498046875,\n 39.54217596171196\n ],\n [\n -75.47332763671875,\n 39.58240712203527\n ],\n [\n -75.531005859375,\n 39.63319206567459\n ],\n [\n -75.487060546875,\n 39.688167045890395\n ],\n [\n -75.42938232421875,\n 39.75999140525313\n ],\n [\n -75.311279296875,\n 39.82119422647453\n ],\n [\n -75.22064208984375,\n 39.83595916247957\n ],\n [\n -75.08880615234375,\n 39.86969567045658\n ],\n [\n -75.1519775390625,\n 39.91394967016644\n ],\n [\n -75.3662109375,\n 39.86969567045658\n ],\n [\n -75.53924560546875,\n 39.74521015328692\n ],\n [\n -75.5474853515625,\n 39.71141252523694\n ],\n [\n -75.63812255859375,\n 39.614152077002664\n ],\n [\n -75.6024169921875,\n 39.53370327008705\n ],\n [\n -75.62164306640625,\n 39.45528185347343\n ],\n [\n -75.56121826171875,\n 39.40861097325807\n ],\n [\n -75.5145263671875,\n 39.33854604847979\n ],\n [\n -75.42388916015625,\n 39.20246222588238\n ],\n [\n -75.44036865234375,\n 39.16839998800286\n ],\n [\n -75.42938232421875,\n 39.07677595221322\n ],\n [\n -75.38543701171875,\n 39.036252959636606\n ],\n [\n -75.34149169921875,\n 38.974357249228206\n ],\n [\n -75.34423828125,\n 38.9380483825641\n ],\n [\n -75.2947998046875,\n 38.884619201291905\n ],\n [\n -75.29754638671875,\n 38.86323626888358\n ],\n [\n -75.17669677734375,\n 38.77978137804918\n ],\n [\n -75.09979248046875,\n 38.76479194327964\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"129","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-08-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Fullagar, Peter J.","contributorId":297536,"corporation":false,"usgs":false,"family":"Fullagar","given":"Peter","email":"","middleInitial":"J.","affiliations":[{"id":64424,"text":"private individual","active":true,"usgs":false}],"preferred":false,"id":854375,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chesser, R. 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In the last 50 years, several reefs throughout the Caribbean have been severely impacted by increased frequency and intensity of disease outbreaks leading to coral death. A recent example of this is stony coral tissue loss disease which has quickly spread throughout the Caribbean, devastating coral reef ecosystems. Emerging from these disease outbreaks has been a coordinated research response that often integrates ‘omics techniques to better understand the coral immune system. ‘Omics techniques encompass a wide range of technologies used to identify large scale gene, DNA, metabolite, and protein expression. In this review, we discuss what is known about coral immunity and coral disease from an ‘omics perspective. We reflect on the development of biomarkers and discuss ways in which coral disease experiments to test immunity can be improved. Lastly, we consider how existing data can be better leveraged to combat future coral disease outbreaks.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/fmars.2022.952199","usgsCitation":"Traylor-Knowles, N., Baker, A.C., Beavers, K.M., Garg, N., Guyon, J.R., Hawthorn, A.C., MacKnight, N.J., Medina, M., Mydlarz, L.D., Peters, E.C., Stewart, J.M., Studivan, M.S., and Voss, J.D., 2022, Advances in coral immunity ‘omics in response to disease outbreaks: Frontiers in Marine Science, v. 9, 952199, 26 p., https://doi.org/10.3389/fmars.2022.952199.","productDescription":"952199, 26 p.","ipdsId":"IP-144516","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":446147,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2022.952199","text":"Publisher Index 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University","active":true,"usgs":false}],"preferred":false,"id":854327,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mydlarz, Laura D.","contributorId":167562,"corporation":false,"usgs":false,"family":"Mydlarz","given":"Laura","email":"","middleInitial":"D.","affiliations":[{"id":24751,"text":"University of Texas Arlington","active":true,"usgs":false}],"preferred":false,"id":854328,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Peters, Esther C.","contributorId":209975,"corporation":false,"usgs":false,"family":"Peters","given":"Esther","email":"","middleInitial":"C.","affiliations":[{"id":12909,"text":"George Mason University","active":true,"usgs":false}],"preferred":false,"id":854329,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Stewart, Julia Marie","contributorId":297509,"corporation":false,"usgs":false,"family":"Stewart","given":"Julia","email":"","middleInitial":"Marie","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":854330,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Studivan, Michael S.","contributorId":297510,"corporation":false,"usgs":false,"family":"Studivan","given":"Michael","email":"","middleInitial":"S.","affiliations":[{"id":64418,"text":"University of Miami, NOAA","active":true,"usgs":false}],"preferred":false,"id":854331,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Voss, Joshua D.","contributorId":150551,"corporation":false,"usgs":false,"family":"Voss","given":"Joshua","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":854332,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70237371,"text":"70237371 - 2022 - Selecting auditory alerting stimuli for eagles on the basis of auditory evoked potentials","interactions":[],"lastModifiedDate":"2022-10-11T19:00:04.483288","indexId":"70237371","displayToPublicDate":"2022-10-11T13:57:15","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3919,"text":"Conservation Physiology","onlineIssn":"2051-1434","active":true,"publicationSubtype":{"id":10}},"title":"Selecting auditory alerting stimuli for eagles on the basis of auditory evoked potentials","docAbstract":"Development of wind energy facilities results in interactions between wildlife and wind turbines. Raptors, including bald and golden eagles, are among the species known to incur mortality from these interactions. Several alerting technologies have been proposed to mitigate this mortality by increasing eagle avoidance of wind energy facilities. However, there has been little attempt to match signals used as alerting stimuli with the sensory capabilities of target species like eagles. One potential approach to tuning signals is to use sensory physiology to determine what stimuli the target eagle species are sensitive to even in the presence of background noise, thereby allowing the development of a maximally stimulating signal. To this end, we measured auditory evoked potentials of bald and golden eagles to determine what types of sounds eagles can process well, especially in noisy conditions. We found that golden eagles are significantly worse than bald eagles at processing rapid frequency changes in sounds, but also that noise effects on hearing in both species are minimal in response to rapidly changing sounds. Our findings therefore suggest that sounds of intermediate complexity may be ideal both for targeting bald and golden eagle hearing and for ensuring high stimulation in noisy field conditions. These results suggest that the sensory physiology of target species is likely an important consideration when selecting auditory alerting sounds and may provide important insight into what sounds have a reasonable probability of success in field applications under variable conditions and background noise.","language":"English","publisher":"Oxford University Press","doi":"10.1093/conphys/coac059","usgsCitation":"Goller, B., Baumhardt, P., Dominguez-Villegas, E., Katzner, T., Fernandez-Juricic, E., and Lucas, J.R., 2022, Selecting auditory alerting stimuli for eagles on the basis of auditory evoked potentials: Conservation Physiology, v. 10, no. 1, coac059, 18 p., https://doi.org/10.1093/conphys/coac059.","productDescription":"coac059, 18 p.","ipdsId":"IP-139387","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":446153,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/conphys/coac059","text":"Publisher Index Page"},{"id":408179,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-09-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Goller, Benjamin","contributorId":297485,"corporation":false,"usgs":false,"family":"Goller","given":"Benjamin","email":"","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":854295,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baumhardt, Patrice","contributorId":297486,"corporation":false,"usgs":false,"family":"Baumhardt","given":"Patrice","email":"","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":854296,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dominguez-Villegas, Ernesto","contributorId":223077,"corporation":false,"usgs":false,"family":"Dominguez-Villegas","given":"Ernesto","email":"","affiliations":[{"id":37079,"text":"Wildlife Center of Virginia","active":true,"usgs":false}],"preferred":false,"id":854297,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":854298,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fernandez-Juricic, Esteban","contributorId":224607,"corporation":false,"usgs":false,"family":"Fernandez-Juricic","given":"Esteban","email":"","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":854299,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lucas, Jeffrey R.","contributorId":297487,"corporation":false,"usgs":false,"family":"Lucas","given":"Jeffrey","email":"","middleInitial":"R.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":854300,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70256617,"text":"70256617 - 2022 - The Bathy-drone: An autonomous unmanned drone-tethered sonar system","interactions":[],"lastModifiedDate":"2024-08-27T14:37:31.951355","indexId":"70256617","displayToPublicDate":"2022-10-10T09:32:38","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18351,"text":"Drones","active":true,"publicationSubtype":{"id":10}},"title":"The Bathy-drone: An autonomous unmanned drone-tethered sonar system","docAbstract":"A unique drone-based system for underwater mapping (bathymetry) was developed at the University of Florida. The system, called the “Bathy-drone”, comprises a drone that drags, via a tether, a small vessel on the water surface in a raster pattern. The vessel is equipped with a recreational commercial off-the-shelf (COTS) sonar unit that has down-scan, side-scan, and chirp capabilities and logs GPS-referenced sonar data onboard or transmitted in real time with a telemetry link. Data can then be retrieved post mission and plotted in various ways. The system provides both isobaths and contours of bottom hardness. Extensive testing of the system was conducted on a 5 acre pond located at the University of Florida Plant Science and Education Unit in Citra, FL. Prior to performing scans of the pond, ground-truth data were acquired with an RTK GNSS unit on a pole to precisely measure the location of the bottom at over 300 locations. An assessment of the accuracy and resolution of the system was performed by comparison to the ground-truth data. The pond ground truth had an average depth of 2.30 m while the Bathy-drone measured an average 21.6 cm deeper than the ground truth, repeatable to within 2.6 cm. The results justify integration of RTK and IMU corrections. During testing, it was found that there are numerous advantages of the Bathy-drone system compared to conventional methods including ease of implementation and the ability to initiate surveys from the land by flying the system to the water or placing the platform in the water. The system is also inexpensive, lightweight, and low-volume, thus making transport convenient. The Bathy-drone can collect data at speeds of 0–24 km/h (0–15 mph) and, thus, can be used in waters with swift currents. Additionally, there are no propellers or control surfaces underwater; hence, the vessel does not tend to snag on floating vegetation and can be dragged over sandbars. An area of more than 10 acres was surveyed using the Bathy-drone in one battery charge and in less than 25 min.
","language":"English","publisher":"MDPI","doi":"10.3390/drones6100294","usgsCitation":"Diaz, A.L., Ortega, A.E., Tingle, H., Pulido, A., Cordero, O., Nelson, M., Cocoves, N.E., Shin, J., Carthy, R., Wilkinson, B.E., and Ifju, P.G., 2022, The Bathy-drone: An autonomous unmanned drone-tethered sonar system: Drones, v. 6, no. 10, 294, 19 p., https://doi.org/10.3390/drones6100294.","productDescription":"294, 19 p.","ipdsId":"IP-144387","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":446174,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/drones6100294","text":"Publisher Index Page"},{"id":433196,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"10","noUsgsAuthors":false,"publicationDate":"2022-10-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Diaz, Antonio L.","contributorId":341377,"corporation":false,"usgs":false,"family":"Diaz","given":"Antonio","email":"","middleInitial":"L.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":908324,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ortega, Andrew E.","contributorId":341378,"corporation":false,"usgs":false,"family":"Ortega","given":"Andrew","email":"","middleInitial":"E.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":908325,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tingle, Henry","contributorId":341379,"corporation":false,"usgs":false,"family":"Tingle","given":"Henry","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":908326,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pulido, Andres","contributorId":341380,"corporation":false,"usgs":false,"family":"Pulido","given":"Andres","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":908327,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cordero, Orlando","contributorId":341381,"corporation":false,"usgs":false,"family":"Cordero","given":"Orlando","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":908328,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nelson, Marisa","contributorId":341382,"corporation":false,"usgs":false,"family":"Nelson","given":"Marisa","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":908329,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cocoves, Nicholas E.","contributorId":341383,"corporation":false,"usgs":false,"family":"Cocoves","given":"Nicholas","email":"","middleInitial":"E.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":908330,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shin, Jaejeong","contributorId":341384,"corporation":false,"usgs":false,"family":"Shin","given":"Jaejeong","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":908331,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Carthy, Raymond 0000-0001-8978-5083","orcid":"https://orcid.org/0000-0001-8978-5083","contributorId":219303,"corporation":false,"usgs":true,"family":"Carthy","given":"Raymond","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908332,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wilkinson, Benjamin E.","contributorId":341385,"corporation":false,"usgs":false,"family":"Wilkinson","given":"Benjamin","email":"","middleInitial":"E.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":908333,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ifju, Peter G.","contributorId":341386,"corporation":false,"usgs":false,"family":"Ifju","given":"Peter","email":"","middleInitial":"G.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":908334,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70238492,"text":"70238492 - 2022 - Genetic structure and historic demography of endangered unarmoured threespine stickleback at southern latitudes signals a potential new management approach","interactions":[],"lastModifiedDate":"2022-12-15T15:55:17.220395","indexId":"70238492","displayToPublicDate":"2022-10-07T07:51:41","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Genetic structure and historic demography of endangered unarmoured threespine stickleback at southern latitudes signals a potential new management approach","docAbstract":"Habitat loss, flood control infrastructure, and drought have left most of southern California and northern Baja California's native freshwater fish near extinction, including the endangered unarmoured threespine stickleback (Gasterosteus aculeatus williamsoni). This subspecies, an unusual morph lacking the typical lateral bony plates of the G. aculeatus complex, occurs at arid southern latitudes in the eastern Pacific Ocean and survives in only three inland locations. Managers have lacked molecular data to answer basic questions about the ancestry and genetic distinctiveness of unarmoured populations. These data could be used to prioritize conservation efforts. We sampled G. aculeatus from 36 localities and used microsatellites and whole genome data to place unarmoured populations within the broader evolutionary context of G. aculeatus across southern California/northern Baja California. We identified three genetic groups with none consisting solely of unarmoured populations. Unlike G. aculeatus at northern latitudes, where Pleistocene glaciation has produced similar historical demographic profiles across populations, we found markedly different demographics depending on sampling location, with inland unarmoured populations showing steeper population declines and lower heterozygosity compared to low armoured populations in coastal lagoons. One exception involved the only high elevation population in the region, where the demography and alleles of unarmoured fish were similar to low armoured populations near the coast, exposing one of several cases of artificial translocation. Our results suggest that the current “management-by-phenotype” approach, based on lateral plates, is incidentally protecting the most imperilled populations; however, redirecting efforts toward evolutionary units, regardless of phenotype, may more effectively preserve adaptive potential.
","language":"English","publisher":"Wiley","doi":"10.1111/mec.16722","usgsCitation":"Turba, R., Richmond, J.Q., Fitz-Gibbon, S., Morselli, M., Fisher, R., Swift, C.C., Ruiz-Campos, G., Backlin, A.R., Dellith, C., and Jacobs, D.K., 2022, Genetic structure and historic demography of endangered unarmoured threespine stickleback at southern latitudes signals a potential new management approach: Molecular Ecology, v. 31, no. 24, p. 6515-6530, https://doi.org/10.1111/mec.16722.","productDescription":"16 p.","startPage":"6515","endPage":"6530","ipdsId":"IP-144634","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":446193,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/mec.16722","text":"Publisher Index Page"},{"id":409689,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"Baja California, California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -115.59972346173339,\n 29.66662912056644\n ],\n [\n -116.3228483705328,\n 34.94795462564349\n ],\n [\n -120.9183518200569,\n 35.38592392602483\n ],\n [\n -120.53381107775209,\n 34.39232111031369\n ],\n [\n -120.2934320651216,\n 32.72373688169593\n ],\n [\n -117.30697616896543,\n 32.28570882745247\n ],\n [\n -115.66154688239834,\n 29.533400726878227\n ],\n [\n -115.59972346173339,\n 29.66662912056644\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"31","issue":"24","noUsgsAuthors":false,"publicationDate":"2022-10-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Turba, 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environments","interactions":[],"lastModifiedDate":"2023-01-27T13:09:43.480884","indexId":"70240117","displayToPublicDate":"2022-10-06T07:02:49","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"Antecedent climatic conditions spanning several years influence multiple land-surface phenology events in semi-arid environments","docAbstract":"Ecological processes are complex, often exhibiting non-linear, interactive, or hierarchical relationships. Furthermore, models identifying drivers of phenology are constrained by uncertainty regarding predictors, interactions across scales, and legacy impacts of prior climate conditions. Nonetheless, measuring and modeling ecosystem processes such as phenology remains critical for management of ecological systems and the social systems they support. We used random forest models to assess which combination of climate, location, edaphic, vegetation composition, and disturbance variables best predict several phenological responses in three dominant land cover types in the U.S. Northwestern Great Plains (NWP). We derived phenological measures from the 25-year series of AVHRR satellite data and characterized climatic predictors (i.e., multiple moisture and/or temperature based variables) over seasonal and annual timeframes within the current year and up to 4 years prior. We found that antecedent conditions, from seasons to years before the current, were strongly associated with phenological measures, apparently mediating the responses of communities to current-year conditions. For example, at least one measure of antecedent-moisture availability [precipitation or vapor pressure deficit (VPD)] over multiple years was a key predictor of all productivity measures. Variables including longer-term lags or prior year sums, such as multi-year-cumulative moisture conditions of maximum VPD, were top predictors for start of season. Productivity measures were also associated with contextual variables such as soil characteristics and vegetation composition. Phenology is a key process that profoundly affects organism-environment relationships, spatio-temporal patterns in ecosystem structure and function, and other ecosystem dynamics. Phenology, however, is complex, and is mediated by lagged effects, interactions, and a diversity of potential drivers; nonetheless, the incorporation of antecedent conditions and contextual variables can improve models of phenology.
Historically, relying on plot-level inventories impeded our ability to quantify large-scale change in plant biomass, a key indicator of conservation practice outcomes in rangeland systems. Recent technological advances enable assessment at scales appropriate to inform management by providing spatially comprehensive estimates of productivity that are partitioned by plant functional group across all contiguous US rangelands. We partnered with the Sage Grouse and Lesser Prairie-Chicken Initiatives and the Nebraska Natural Legacy Project to demonstrate the ability of these new datasets to quantify multi-scale changes and heterogeneity in plant biomass following mechanical tree removal, prescribed fire, and prescribed grazing. In Oregon's sagebrush steppe, for example, juniper tree removal resulted in a 21% increase in one pasture's productivity and an 18% decline in another. In Nebraska's Loess Canyons, perennial grass productivity initially declined 80% at sites invaded by trees that were prescriptively burned, but then fully recovered post-fire, representing a 492% increase from nadir. In Kansas' Shortgrass Prairie, plant biomass increased 4-fold (966,809 kg/ha) in pastures that were prescriptively grazed, with gains highly dependent upon precipitation as evidenced by sensitivity of remotely sensed estimates (SD ± 951,308 kg/ha). Our results emphasize that next-generation remote sensing datasets empower land managers to move beyond simplistic control versus treatment study designs to explore nuances in plant biomass in unprecedented ways. The products of new remote sensing technologies also accelerate adaptive management and help communicate wildlife and livestock forage benefits from management to diverse stakeholders.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2022.116359","usgsCitation":"Roberts, C.P., Naugle, D., Allred, B.W., Donovan, V.M., Fogarty, D.T., Jones, M., Maestas, J., Olsen, A.C., and Twidwell, D., 2022, Next-generation technologies unlock new possibilities to track rangeland productivity and quantify multi-scale conservation outcomes: Journal of Environmental Management, v. 324, 116359, 8 p., https://doi.org/10.1016/j.jenvman.2022.116359.","productDescription":"116359, 8 p.","ipdsId":"IP-137365","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":446222,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2022.116359","text":"Publisher Index Page"},{"id":433304,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas, Nebraska, Oregon","geographicExtents":"{\n \"type\": 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Montana","active":true,"usgs":false}],"preferred":false,"id":908492,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allred, Brady W.","contributorId":341485,"corporation":false,"usgs":false,"family":"Allred","given":"Brady","email":"","middleInitial":"W.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":908493,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Donovan, Victoria M.","contributorId":341486,"corporation":false,"usgs":false,"family":"Donovan","given":"Victoria","email":"","middleInitial":"M.","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":908494,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fogarty, Dillon T.","contributorId":341487,"corporation":false,"usgs":false,"family":"Fogarty","given":"Dillon","email":"","middleInitial":"T.","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":908495,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jones, Matthew O.","contributorId":341488,"corporation":false,"usgs":false,"family":"Jones","given":"Matthew O.","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":908496,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Maestas, Jeremy D.","contributorId":341489,"corporation":false,"usgs":false,"family":"Maestas","given":"Jeremy D.","affiliations":[{"id":65354,"text":"USDA Natural Resources Conservation Service","active":true,"usgs":false}],"preferred":false,"id":908497,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Olsen, Andrew C.","contributorId":341490,"corporation":false,"usgs":false,"family":"Olsen","given":"Andrew","email":"","middleInitial":"C.","affiliations":[{"id":7041,"text":"The Nature 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species","docAbstract":"Aim: Species distribution models can guide invasive species prevention and management by characterizing invasion risk across space. However, extrapolation and transferability issues pose challenges for developing useful models for invasive species. Previous work has emphasized the importance of including all available occurrences in model estimation, but managers attuned to local processes may be skeptical of models based on a broad spatial extent if they suspect the captured responses reflect those of other regions where data are more numerous. We asked whether species distribution models for invasive plants performed better when developed at national versus regional extents.
Location: Continental United States.
Methods: We developed ensembles of species distribution models trained nationally, on sagebrush habitat, or on sagebrush habitat within three ecoregions (Great Basin, eastern sagebrush, and Great Plains) for nine invasive plants of interest for early detection and rapid response at local or regional scales. We compared the performance of national versus regional models using spatially independent withheld test data from each of the three ecoregions.
Results: We found that models trained using a national spatial extent tended to perform better than regionally trained models. Regional models did not outperform national ones even when considerable occurrence data were available for model estimation within the focal region. Information was often unavailable to fit informative regional models precisely in those areas of greatest interest for early detection and rapid response.
Main conclusions: Habitat suitability models for invasive plant species trained at a continental extent can reduce extrapolation while maximizing information on species’ responses to environmental variation. Standard modeling methods can capture spatially varying limiting factors, while regional or hierarchical models may only be advantageous when populations differ in their responses to environmental conditions, a condition expected to be relatively rare at the expanding boundaries of invasive species’ distributions.
","language":"English","publisher":"NeoBiota","doi":"10.3897/neobiota.77.86364","usgsCitation":"Jarnevich, C.S., Sofaer, H., Engelstad, P., and Belamaric, P., 2022, Regional models do not outperform continental models for invasive species: NeoBiota, v. 77, https://doi.org/10.3897/neobiota.77.86364.","productDescription":"22 p.","startPage":"1-22","ipdsId":"IP-137001","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":446233,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3897/neobiota.77.86364","text":"Publisher Index Page"},{"id":435667,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90AL0PN","text":"USGS data release","linkHelpText":"Data to create and evaluate distribution models for invasive species for different geographic extents"},{"id":409981,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"77","noUsgsAuthors":false,"publicationDate":"2022-10-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":858156,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sofaer, Helen 0000-0002-9450-5223","orcid":"https://orcid.org/0000-0002-9450-5223","contributorId":216681,"corporation":false,"usgs":true,"family":"Sofaer","given":"Helen","email":"","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":858157,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Engelstad, Peder","contributorId":238758,"corporation":false,"usgs":false,"family":"Engelstad","given":"Peder","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":858158,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Belamaric, Pairsa 0000-0001-7529-0370","orcid":"https://orcid.org/0000-0001-7529-0370","contributorId":299593,"corporation":false,"usgs":false,"family":"Belamaric","given":"Pairsa","affiliations":[{"id":64897,"text":"Student Contractor to the USGS Fort Collins Science Center","active":true,"usgs":false}],"preferred":false,"id":858159,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70255125,"text":"70255125 - 2022 - Wildlife migrations highlight importance of both private lands and protected areas in the Greater Yellowstone Ecosystem","interactions":[],"lastModifiedDate":"2024-06-12T16:47:45.780934","indexId":"70255125","displayToPublicDate":"2022-10-03T11:33:32","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Wildlife migrations highlight importance of both private lands and protected areas in the Greater Yellowstone Ecosystem","docAbstract":"Formally protected areas are an important component of wildlife conservation, but face limitations in their effectiveness for migratory species. Improved stewardship of working lands around protected areas is one solution for conservation planning, but private working lands are vulnerable to development. In the Greater Yellowstone Ecosystem (GYE), ungulates such as elk (Cervus canadensis) use both protected areas and private lands throughout their annual migrations. We studied patterns of landownership, protection, and conservation challenges within the ranges of migratory elk in the GYE. We used GPS data from 1088 elk in 26 herds to define herd-level seasonal ranges, and extracted covariates related to landownership and protection, land use, and human infrastructure and development. All elk herds used land encompassing >1 ownership type. Most elk herds (92.3 % of herds, n = 24) used the highest proportion of private land in the winter (mean = 36.2 % private land). Most elk herds' winter ranges contained the highest building densities (mean = 1.24 buildings/km2), fence densities (mean = 1.02 km fence/km2), and cattle grazing (mean = 1.9 cows/km2), compared to migratory and summer ranges. Out of all ranges, 36.5 % of ranges did not have any zoning regulations, indicating the potential for future development. Our results show that elk in the GYE rely on habitat outside of protected areas, and face landscape-scale conservation challenges such as habitat fragmentation from human development, particularly in winter ranges. Future conservation strategies for wildlife in this system need to encompass coordination across both public and private land to ensure migratory connectivity.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2022.109752","usgsCitation":"Gigliottia, L.C., Wenjing Xu, Zuckerman, G., Atwood, M.P., Eric K. Cole, Alyson Courtemanch, Dewey, S., Gude, J.A., Hnilicka, P., Kauffman, M., Kroetz, K., Lawson, A., Leonard, B., MacNulty, D., Maichak, E., McWhirter, D., Mong, T.W., Proffitt, K., Scurlock, B., Stahler, D., and Middleton, A.D., 2022, Wildlife migrations highlight importance of both private lands and protected areas in the Greater Yellowstone Ecosystem: Biological Conservation, v. 275, 109752, 9 p., https://doi.org/10.1016/j.biocon.2022.109752.","productDescription":"109752, 9 p.","ipdsId":"IP-141698","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":446239,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2022.109752","text":"Publisher Index Page"},{"id":430023,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Greater Yellowstone Ecosystem","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.79292022701935,\n 45.50034062999211\n ],\n [\n -111.79292022701935,\n 43.92815809407176\n ],\n [\n -109.67116747387536,\n 43.92815809407176\n ],\n [\n -109.67116747387536,\n 45.50034062999211\n ],\n [\n -111.79292022701935,\n 45.50034062999211\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"275","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gigliottia, Laura C.","contributorId":338702,"corporation":false,"usgs":false,"family":"Gigliottia","given":"Laura","email":"","middleInitial":"C.","affiliations":[{"id":13243,"text":"University of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":903466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wenjing Xu","contributorId":338703,"corporation":false,"usgs":false,"family":"Wenjing Xu","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":903467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zuckerman, Gabriel","contributorId":338704,"corporation":false,"usgs":false,"family":"Zuckerman","given":"Gabriel","email":"","affiliations":[{"id":13243,"text":"University of California Berkeley","active":true,"usgs":false}],"preferred":false,"id":903468,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Atwood, M. 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2022 - Corrigendum: Associations between cyanobacteria and indices of secondary production in the western basin of Lake Erie","interactions":[],"lastModifiedDate":"2024-09-26T13:40:43.394886","indexId":"70258749","displayToPublicDate":"2022-10-03T08:32:30","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Corrigendum: Associations between cyanobacteria and indices of secondary production in the western basin of Lake Erie","docAbstract":"In the last year, we became aware that data used in our above-referenced manuscript from 2018 published in Limnology and Oceanography contained significant errors. In the 2018 manuscript, we found that indices of secondary production were negatively correlated to indices of cyanobacterial abundance and toxicity. Unfortunately, one of our indices of cyanobacterial abundance (biovolume) and our measurement of toxicity (microcystin concentration) were inaccurate in the data we used in the 2018 manuscript. Upon discovering these errors, we immediately began correcting the repositories where these data were available. Having corrected those data repositories, we are now reporting on the re-analysis of the data using the methods previously described in the 2018 manuscript. Although the relationships are slightly different, our interpretation is that the conclusions of the 2018 manuscript are still valid using the corrected data. The data errors we experienced were traced to a spreadsheet that was used to share data among the research team, which had errors caused by mistakes in copy-pasting formulas instead of data and ‘inadvertent’ edits that were saved by the spreadsheet's auto-save function. We apologize to the scientific community for these errors.
","language":"English","publisher":"ASLO","doi":"10.1002/lno.12216","usgsCitation":"Larson, J.H., Evans, M.A., Kennedy, R., Bailey, S., Loftin, K.A., Laughrey, Z.R., Femmer, R.A., Schaeffer, J., Richardson, W., Wynne, T., Nelson, J.C., and Duris, J.W., 2022, Corrigendum: Associations between cyanobacteria and indices of secondary production in the western basin of Lake Erie: Limnology and Oceanography, v. 67, no. 11, p. 2617-2620, https://doi.org/10.1002/lno.12216.","productDescription":"4 p.","startPage":"2617","endPage":"2620","ipdsId":"IP-138062","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":462275,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Erie","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.51669311523438,\n 41.51063406062076\n ],\n [\n -82.77923583984375,\n 41.51063406062076\n ],\n [\n -82.77923583984375,\n 42.04011410708205\n ],\n [\n -83.51669311523438,\n 42.04011410708205\n ],\n [\n -83.51669311523438,\n 41.51063406062076\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"67","issue":"11","noUsgsAuthors":false,"publicationDate":"2022-10-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":913946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, Mary Anne 0000-0002-1627-7210 maevans@usgs.gov","orcid":"https://orcid.org/0000-0002-1627-7210","contributorId":149358,"corporation":false,"usgs":true,"family":"Evans","given":"Mary","email":"maevans@usgs.gov","middleInitial":"Anne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":913947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kennedy, Robert J 0000-0003-2135-5022","orcid":"https://orcid.org/0000-0003-2135-5022","contributorId":215686,"corporation":false,"usgs":false,"family":"Kennedy","given":"Robert J","affiliations":[{"id":39305,"text":"Former UMESC employee - 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2022 - Last Glacial Maximum and early deglaciation in the Stura Valley, southwestern European Alps","interactions":[],"lastModifiedDate":"2022-10-04T11:59:18.208422","indexId":"70237184","displayToPublicDate":"2022-10-03T06:55:23","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Last Glacial Maximum and early deglaciation in the Stura Valley, southwestern European Alps","docAbstract":"We combined data from geomorphologic surveys, glacial modelling, and 10Be exposure ages of boulders on moraines, to investigate the Last Glacial Maximum (LGM) and the early retreat glacial phases in the Stura Valley of the Maritime Alps. We used the exposure ages to reconstruct the timing of standstills or readvances which interrupted the post-LGM withdrawal, initiated ∼24 ka. We mapped and dated the frontal moraines of a first glacial standstill/readvance at a short distance (∼7 km) from the maximum external limit of the LGM, which occurred at ∼22 ka, and a second one at ∼19 ka (Bühl stadial). This morpho-chronologic succession is congruent with that obtained in the adjacent Gesso Valley and, combined with the similarity of Equilibrium Line Altitude values, demonstrates a consistent glacial response in the Maritime Alps to climatic forcing.
Our data are chronologically consistent with those of the southern flank of the European Alps, stressing not only a general synchroneity of the LGM across the various sectors, but also that of a LGM recessional standstill or readvance at ∼22 ka. The short distance between the LGM moraines and the recessionary phase moraines, and minimal difference in ELA indicate a modest variation in the mass balance of the Maritime Alps glaciers during this time interval. A similar modest variation between LGM and the first recessional phase glacier mass balance is also found throughout the western sector of the Southern Alps but is considerably more pronounced for the glaciers of the central-eastern sectors. This behaviour can be explained by the interplay between the moisture supplied by southern currents sourced in the Western Mediterranean and that advected by the westerlies sourced in the North Atlantic, which affected the various sectors of the Southern Alps differently.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2022.107770","usgsCitation":"Ribolini, A., Spagnolo, M., Cyr, A.J., and Federici, P.R., 2022, Last Glacial Maximum and early deglaciation in the Stura Valley, southwestern European Alps: Quaternary Science Reviews, v. 295, 107770, 17 p., https://doi.org/10.1016/j.quascirev.2022.107770.","productDescription":"107770, 17 p.","ipdsId":"IP-140334","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":446241,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quascirev.2022.107770","text":"Publisher Index Page"},{"id":435668,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HCE4EC","text":"USGS data release","linkHelpText":"Data release for cosmogenic beryllium-10 exposure ages of moraine boulders in the Stura Valley, Maritime Alps, northwestern Italy"},{"id":407853,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy, France","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 7.305908203125,\n 43.97700467496408\n ],\n [\n 7.80029296875,\n 43.97700467496408\n ],\n [\n 7.80029296875,\n 44.32384807250689\n ],\n [\n 7.305908203125,\n 44.32384807250689\n ],\n [\n 7.305908203125,\n 43.97700467496408\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"295","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ribolini, Adriano 0000-0001-5851-8775","orcid":"https://orcid.org/0000-0001-5851-8775","contributorId":291770,"corporation":false,"usgs":false,"family":"Ribolini","given":"Adriano","email":"","affiliations":[{"id":62747,"text":"Department of Earth Sciences, University of Pisa, Italy","active":true,"usgs":false}],"preferred":false,"id":853586,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spagnolo, Matteo 0000-0002-2753-338X","orcid":"https://orcid.org/0000-0002-2753-338X","contributorId":291771,"corporation":false,"usgs":false,"family":"Spagnolo","given":"Matteo","email":"","affiliations":[{"id":62748,"text":"Department of Geography & Environment, University of Aberdeen, UK","active":true,"usgs":false}],"preferred":false,"id":853587,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cyr, Andrew J. 0000-0003-2293-5395 acyr@usgs.gov","orcid":"https://orcid.org/0000-0003-2293-5395","contributorId":3539,"corporation":false,"usgs":true,"family":"Cyr","given":"Andrew","email":"acyr@usgs.gov","middleInitial":"J.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":853588,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Federici, Paolo Roberto","contributorId":297167,"corporation":false,"usgs":false,"family":"Federici","given":"Paolo","email":"","middleInitial":"Roberto","affiliations":[{"id":64311,"text":"retired, Department of Earth Sciences, University of Pisa, Italy","active":true,"usgs":false}],"preferred":false,"id":853589,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70238435,"text":"70238435 - 2022 - One hundred years of cobalt production in the Democratic Republic of the Congo","interactions":[],"lastModifiedDate":"2022-11-23T12:42:47.997751","indexId":"70238435","displayToPublicDate":"2022-10-03T06:40:30","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3266,"text":"Resources Policy","active":true,"publicationSubtype":{"id":10}},"title":"One hundred years of cobalt production in the Democratic Republic of the Congo","docAbstract":"Cobalt is an indispensable element for the manufacture of strategic technologies including advanced batteries, jet engines, rare-earth permanent magnets, petroleum catalysts, and tool parts that enable construction, manufacturing, and mining. Cobalt routinely scores high in mineral supply risk assessments due to the concentration of cobalt mine production in the Democratic Republic of the Congo (DRC). This stands in contrast to the fact that DRC cobalt mine production had a 20% compound annual growth rate from 1995 through 2020—in large part due to investments by Chinese firms beginning in the mid-2000s. Given this continuous growth, one may ask why this supply is perceived to be so risky. This analysis illuminates the causes of historic disruptions to DRC cobalt mine and refinery production by analyzing country-level production, historical reports, and cobalt prices back to 1924. The results indicate that the main causes of supply disruptions were damage to transportation routes, underinvestment in maintaining nationalized mining assets, and the disintegration of the DRC economy during the early 1990s. On the other hand, cobalt mine production increased 50% from 1977 to 1979 despite two secessionist conflicts in DRC's cobalt producing region and increased seven-fold from 1996 to 2003 despite two African wars over the DRC and its resources. These results indicate that—barring another economic disintegration or mining industry nationalization—DRC mine production will likely continue to be the dominant supplier of the world's growing demand for cobalt in lithium-ion batteries. These results also indicate that sustained development of transportation (and other) infrastructure in Africa, as well as support for good governance in the DRC may prove key to the continued stability of DRC cobalt mine supplies.
We examined the relative importance of landscape features on estuarine fish trophic structure and dependence on terrestrial organic matter (OMterr) in four barrier island lagoon systems along the Alaskan Beaufort Sea coast. Our study compared two relatively large lagoon systems characterized by high river discharge and relatively free ocean water exchanges (central region near Prudhoe Bay, Alaska) with two highly protected lagoons characterized by low river discharge and limited exchange with ocean waters (eastern region near Kaktovik, Alaska). We hypothesized that freshwater discharge would be a strong determinant of food web structure for both resident marine and diadromous fishes if more discharge increases availability of OMterr relative to lagoons with limited or no river inputs. To consider differences in trophic characteristics in fishes between study regions, we estimated community-wide measures of trophic structure (hereafter, community metrics) and the relative use of OMterr from mixing models using stable isotope composition (δ13C and δ15N; muscle tissue) among 12 species and identified the influences of region and body size. Fish captured in lagoons well protected by barrier islands had more distinct and diverse isotopic niches relative to those in more exposed lagoons based on community metrics. The use of OMterr by nearshore fishes in both regions was substantial and was >50% for diadromous species. Between regions, OMterr use differed in 6 of the 8 species considered but was not consistently higher in one region. The relative importance of OMterr varied with fish size in 7 of 10 species considered, with more OMterr used by smaller individuals. This work highlights the importance of OMterr to Arctic fishes and fisheries, some of which are of subsistence importance, even when feeding grounds are primarily marine. We propose that landscape features, particularly barrier islands, play an important role in structuring nearshore food webs. Barrier islands may provide a previously undocumented ecosystem service of increasing food web complexity, which may promote system resilience.
Marine Spatial Planning (MSP) provides a process that uses spatial data and models to evaluate environmental, social, economic, cultural, and management trade-offs when siting (i.e., strategically locating) ocean industries. Aquaculture is the fastest-growing food sector in the world. The United States (U.S.) has substantial opportunity for offshore aquaculture development given the size of its exclusive economic zone, habitat diversity, and variety of candidate species for cultivation. However, promising aquaculture areas overlap many protected species habitats. Aquaculture siting surveys, construction, operations, and decommissioning can alter protected species habitat and behavior. Additionally, aquaculture-associated vessel activity, underwater noise, and physical interactions between protected species and farms can increase the risk of injury and mortality. In 2020, the U.S. Gulf of Mexico was identified as one of the first regions to be evaluated for offshore aquaculture opportunities as directed by a Presidential Executive Order. We developed a transparent and repeatable method to identify aquaculture opportunity areas (AOAs) with the least conflict with protected species. First, we developed a generalized scoring approach for protected species that captures their vulnerability to adverse effects from anthropogenic activities using conservation status and demographic information. Next, we applied this approach to data layers for eight species listed under the Endangered Species Act, including five species of sea turtles, Rice’s whale, smalltooth sawfish, and giant manta ray. Next, we evaluated four methods for mathematically combining scores (i.e., Arithmetic mean, Geometric mean, Product, Lowest Scoring layer) to generate a combined protected species data layer. The Product approach provided the most logical ordering of, and the greatest contrast in, site suitability scores. Finally, we integrated the combined protected species data layer into a multi-criteria decision-making modeling framework for MSP. This process identified AOAs with reduced potential for protected species conflict. These modeling methods are transferable to other regions, to other sensitive or protected species, and for spatial planning for other ocean-uses.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0267333","usgsCitation":"Farmer, N.A., Powell, J.R., Morris, J.A., Soldevilla, M.S., Wickliffe, L.C., Jossart, J.A., MacKay, J.K., Randall, A.L., Bath, G.E., Ruvelas, P., Gray, L., Lee, J., Piniak, W., Garrison, L., Hardy, R., Hart, K., Sasso, C., Stokes, L., and Riley, K.L., 2022, Modeling protected species distributions and habitats to inform siting and management of pioneering ocean industries: A case study for Gulf of Mexico aquaculture: PLoS ONE, v. 17, no. 9, e0267333, 29 p., https://doi.org/10.1371/journal.pone.0267333.","productDescription":"e0267333, 29 p.","ipdsId":"IP-139636","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":446276,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0267333","text":"Publisher Index 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role played by the International Training Course, given by the Center for the Study of Active Volcanoes (CSAV) at the University of Hawai’i at Hilo, in the development of human resources for volcano observatory staff around the world. The study design included a literature review, interviews with representatives from 10 national volcano observatories, and electronic surveys designed and conducted by Florida International University, targeting graduates of training courses sponsored by the Volcano Disaster Assistance Program (VDAP), a cooperative partnership between the US Agency for International Development (USAID) and the US Geological Survey (USGS). The knowledge, attitude, and practice (KAP) method was used to develop a survey and a composite KAP index. Of the 92 individuals who answered the survey, 47 had completed the CSAV course. Two groups were formed from the survey respondents: (1) 47 people who were CSAV graduates; and (2) 45 people who did not take CSAV training. An independent samples
Through the collection and analysis of shallow and deep subseafloor sediments, rocks, fluids, and life, scientific ocean drilling has enriched our understanding of the complex Earth system. Among other achievements, scientific ocean drilling has documented the history of Earth’s climate, the waxing and waning of polar ice sheets, the past changes in ocean and atmospheric circulation, the existence and function of microbial life in the subseafloor, the compositional variations in Earth’s crust and underlying mantle, and the physical and chemical processes acting at subduction zones, including those associated with tsunamigenic earthquakes. Over the decades, more than 12,000 articles that depend on analyses of scientific ocean drilling samples and geophysical data have been published, many detailing breakthrough contributions to global knowledge about the Earth system. Approximately 45% of these publications were led by U.S.-affiliated authors (International Ocean Discovery Program Publication Services, 2021).
Since the mid-1980s, the workhorse of this multidisciplinary, international research effort has been the riserless D/V JOIDES Resolution, operated by Texas A&M University with funding from the U.S. National Science Foundation (NSF). D/V JOIDES Resolution has conducted the vast majority of scientific ocean drilling expeditions and collected most of the scientific cores over that period, including 82% of the expeditions and 93% of the cores in the last decade alone, despite being one of three platforms that is operated within the International Ocean Discovery Program. However, D/V JOIDES Resolution is approaching the end of its useful life.
With a strong commitment to continue scientific ocean drilling beyond the end of the current phase, the community developed a document outlining the research frontiers that should be pursued. Exploring Earth by Scientific Ocean Drilling: 2050 Science Framework (Koppers and Coggon, 2020) describes seven scientific strategic objectives that focus on understanding interconnections within the Earth system and five flagship initiatives that integrate these objectives into long-term research efforts that address issues facing society. Additional elements in the 2050 Science Framework, including STEM education, workforce development, technology development, and innovative applications of data analytics, will advance the goals of scientific ocean drilling. Addressing the 2050 Science Framework also requires building partnerships with allied U.S. and international science programs and strengthening existing ones.
To implement a significant portion of the 2050 Science Framework, the U.S. scientific community seeks to lease or acquire a newly built, globally ranging, state-of-the art, riserless drilling vessel. The many and varied technical and human resources requirements for successful accomplishment of scientific and educational goals summarized in this document and described in detail in the 2050 Science Framework require broad community input and careful consideration.
Following receipt of NSF’s formal Request for Assistance to the United States Science Support Program (USSSP), the U.S. scientific ocean drilling community conducted a one-year exercise to identify its national scientific needs and priorities in order to determine the Science Mission Requirements (SMRs) presented here. This community effort included:
(1) a U.S. community-wide survey to identify the specific operational and technical capabilities critical to addressing science in the 2050 Science Framework;
(2) a series of online workshops focusing on critical capabilities identified by the survey; and
(3) a large in-person workshop to synthesize the results of the survey and the virtual workshops (Appendix 1). The approach was designed to reach as many participants as possible. Overall, 278 survey responses were received from U.S. community members, representing 104 unique institutions from 39 states and the District of Columbia, and 137 unique individuals participated in the workshops (Appendix 2).
The results of this effort comprise two classes of SMRs: Foundational Science Mission Requirements and Primary Science Mission Requirements. Foundational SMRs define minimum criteria for a new riserless drilling vessel that can address significant portions of the 2050 Science Framework. Primary SMRs build upon the Foundational SMRs and will create more robust science opportunities and data collection capabilities, will increase progress in addressing the 2050 Science Framework objectives, and will provide more real-time ship-to-shore interaction to improve science productivity, engagement, and outreach.
Primary Science Mission Requirements include:
NSF’s investment in a new globally ranging, riserless drilling vessel will have a powerful economic multiplier effect, including the infusion of additional science support funds in the United States for training and research, the development of new technologies and tools, and the associated scientific and technical workforce development. The skills and knowledge gained through scientific ocean drilling are translatable to careers in fields such as sustainable energy development (e.g., geothermal and offshore wind), carbon sequestration, data management and cyberinfrastructure, biotechnology, communications, science education, policy, hazard mitigation, and environmental management.
The United States is a leader in a well-established and internationally collaborative scientific ocean drilling community. A modern, globally ranging, riserless drilling vessel will allow the United States to expand its leadership position, address broad scientific questions that current capabilities preclude, and cultivate equitable international, multidisciplinary collaborations that will ensure scientific ocean drilling’s future success.
","language":"English","publisher":"United States Science Support Program (USSSP), U.S. Scientific Ocean Drilling","usgsCitation":"Carr, S., Collett, T., Dodd, J.P., Fryer, P., Fulton, P., Gulick, S., Kitajima, H., Koppers, A.A., Marcks, B., Miller, D.J., Rosenthal, Y., Slagle, A., Tominaga, M., Torres, M.E., and Wellner, J., 2022, Science mission requirements for a globally ranging, riserless drilling vessel for U.S. Scientific Ocean Drilling, 26 p.","productDescription":"26 p.","ipdsId":"IP-144494","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":422238,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":422216,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://usoceandiscovery.org/smr/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Robinson, Rebecca S.","contributorId":6688,"corporation":false,"usgs":true,"family":"Robinson","given":"Rebecca","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":887153,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Dugan, Brandon","contributorId":10213,"corporation":false,"usgs":true,"family":"Dugan","given":"Brandon","email":"","affiliations":[],"preferred":false,"id":887154,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Brenner, Carl","contributorId":331260,"corporation":false,"usgs":false,"family":"Brenner","given":"Carl","email":"","affiliations":[],"preferred":false,"id":887155,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Krissek, Lawrence","contributorId":194498,"corporation":false,"usgs":false,"family":"Krissek","given":"Lawrence","email":"","affiliations":[],"preferred":false,"id":887156,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Carr, Stephanie A","contributorId":189201,"corporation":false,"usgs":false,"family":"Carr","given":"Stephanie A","affiliations":[],"preferred":false,"id":887063,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collett, Timothy 0000-0002-7598-4708","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":220806,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":887064,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dodd, Justin P.","contributorId":209767,"corporation":false,"usgs":false,"family":"Dodd","given":"Justin","email":"","middleInitial":"P.","affiliations":[{"id":13666,"text":"Northern Illinois University","active":true,"usgs":false}],"preferred":false,"id":887065,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fryer, Patricia","contributorId":298539,"corporation":false,"usgs":false,"family":"Fryer","given":"Patricia","email":"","affiliations":[{"id":36402,"text":"University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":887066,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fulton, Patrick","contributorId":34832,"corporation":false,"usgs":true,"family":"Fulton","given":"Patrick","email":"","affiliations":[],"preferred":false,"id":887152,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gulick, Sean P. S.","contributorId":147201,"corporation":false,"usgs":false,"family":"Gulick","given":"Sean P. S.","affiliations":[{"id":13603,"text":"University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":887067,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kitajima, Hiroko","contributorId":270795,"corporation":false,"usgs":false,"family":"Kitajima","given":"Hiroko","email":"","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":887068,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Koppers, Anthony A.P. 0000-0002-8136-5372","orcid":"https://orcid.org/0000-0002-8136-5372","contributorId":222435,"corporation":false,"usgs":false,"family":"Koppers","given":"Anthony","email":"","middleInitial":"A.P.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":887069,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Marcks, Basia","contributorId":331243,"corporation":false,"usgs":false,"family":"Marcks","given":"Basia","email":"","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":887070,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Miller, D. Jay","contributorId":67644,"corporation":false,"usgs":false,"family":"Miller","given":"D.","email":"","middleInitial":"Jay","affiliations":[],"preferred":false,"id":887071,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rosenthal, Yair 0000-0002-7546-6011","orcid":"https://orcid.org/0000-0002-7546-6011","contributorId":260126,"corporation":false,"usgs":false,"family":"Rosenthal","given":"Yair","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":887072,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Slagle, Angela","contributorId":331244,"corporation":false,"usgs":false,"family":"Slagle","given":"Angela","email":"","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":887073,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Tominaga, Masako 0000-0002-1169-4146","orcid":"https://orcid.org/0000-0002-1169-4146","contributorId":200937,"corporation":false,"usgs":false,"family":"Tominaga","given":"Masako","email":"","affiliations":[],"preferred":false,"id":887074,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Torres, Marta E.","contributorId":196035,"corporation":false,"usgs":false,"family":"Torres","given":"Marta","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":887075,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Wellner, Julia","contributorId":331245,"corporation":false,"usgs":false,"family":"Wellner","given":"Julia","email":"","affiliations":[{"id":36391,"text":"University of Houston","active":true,"usgs":false}],"preferred":false,"id":887076,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70237299,"text":"70237299 - 2022 - Neural net detection of seismic features related to gas hydrates and free gas accumulations on the northern U.S. Atlantic margin","interactions":[],"lastModifiedDate":"2022-10-07T11:55:34.680143","indexId":"70237299","displayToPublicDate":"2022-09-27T06:52:12","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3906,"text":"Interpretation","active":true,"publicationSubtype":{"id":10}},"title":"Neural net detection of seismic features related to gas hydrates and free gas accumulations on the northern U.S. Atlantic margin","docAbstract":"Bottom-simulating reflections (BSRs) that sometimes mark the base of the gas hydrate stability zone in marine sediments are often identified based on the reverse polarity reflections that cut across stratigraphic layering in seismic amplitude data. On the northern U.S. Atlantic margin (USAM) between Cape Hatteras and Hudson Canyon, legacy seismic data have revealed pronounced BSRs south of the deepwater extension of Hudson Canyon and more subtle ones from offshore Delaware south to Cape Hatteras, where the reflections sometimes follow stratigraphic layering. Using high-resolution seismic data acquired during the 2018 Mid-Atlantic Resource Imaging Experiment and a supervised neural net, we identify seismic features associated with gas hydrates and/or the top of gas between Hudson Canyon and Cape Hatteras. Using seismic attributes especially sensitive to the presence of gas, we train a neural network algorithm on seismic data from an area with strong BSRs and then apply the model to the rest of the data set. The results indicate that gas hydrate and/or shallow free gas are significantly more widespread on the northern part of the USAM than previously known. Seismic indicators of gas extend landward from the 2000 m isobath to the upper continental slope in sectors with (offshore Virginia) and, to a lesser extent, without (offshore New Jersey) pervasive upper slope methane seeps. Higher sand content and intermediate sediment thickness, factors related to the container size and gas charge in a petroleum systems framework, are associated with more robust gas indicators.
We used a representative of one of the oldest extant vertebrate lineages (jawless fish or agnathans) to investigate the early evolution and function of the growth hormone (GH)/prolactin (PRL) family. We identified a second member of the GH/PRL family in an agnathan, the sea lamprey (Petromyzon marinus). Structural, phylogenetic, and synteny analyses supported the identification of this hormone as prolactin-like (PRL-L), which has led to added insight into the evolution of the GH/PRL family. At least two ancestral genes were present in early vertebrates, which gave rise to distinct GH and PRL-L genes in lamprey. A series of gene duplications, gene losses, and chromosomal rearrangements account for the diversity of GH/PRL-family members in jawed vertebrates. Lamprey PRL-L is produced in the proximal pars distalis of the pituitary and is preferentially bound by the lamprey PRL receptor, whereas lamprey GH is preferentially bound by the lamprey GH receptor. Pituitary PRL-L messenger RNA (mRNA) levels were low in larvae, then increased significantly in mid-metamorphic transformers (stage 3); thereafter, levels subsided in final-stage transformers and metamorphosed juveniles. The abundance of PRL-L mRNA and immunoreactive protein increased in the pituitary of juveniles under hypoosmotic conditions, and treatment with PRL-L blocked seawater-associated inhibition of freshwater ion transporters. These findings clarify the origin and divergence of GH/PRL family genes in early vertebrates and reveal a function of PRL-L in osmoregulation of sea lamprey, comparable to a role of PRLs that is conserved in jawed vertebrates.
","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.2212196119","usgsCitation":"Gong, N., Ferreira-Martins, D., Norstog, J.L., McCormick, S.D., and Sheridan, M., 2022, Discovery of prolactin-like in lamprey: Role in osmoregulation and new insight into the evolution of the growth hormone/prolactin family: PNAS, v. 119, no. 40, e2212196119, 11 p., https://doi.org/10.1073/pnas.2212196119.","productDescription":"e2212196119, 11 p.","ipdsId":"IP-133495","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":446325,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.2212196119","text":"Publisher Index Page"},{"id":408263,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"119","issue":"40","noUsgsAuthors":false,"publicationDate":"2022-09-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Gong, Ningping","contributorId":228919,"corporation":false,"usgs":false,"family":"Gong","given":"Ningping","email":"","affiliations":[{"id":41526,"text":"Univ of Texas, Lubbock","active":true,"usgs":false}],"preferred":false,"id":854461,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferreira-Martins, Diogo","contributorId":228920,"corporation":false,"usgs":false,"family":"Ferreira-Martins","given":"Diogo","email":"","affiliations":[{"id":37062,"text":"UMASS","active":true,"usgs":false}],"preferred":false,"id":854462,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Norstog, Jessica L. 0000-0002-5495-5131","orcid":"https://orcid.org/0000-0002-5495-5131","contributorId":295345,"corporation":false,"usgs":false,"family":"Norstog","given":"Jessica","email":"","middleInitial":"L.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":854463,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":854464,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sheridan, Mark","contributorId":228921,"corporation":false,"usgs":false,"family":"Sheridan","given":"Mark","affiliations":[{"id":41527,"text":"Univ of Texas Lubbock","active":true,"usgs":false}],"preferred":false,"id":854465,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70237004,"text":"70237004 - 2022 - Estimating Pacific walrus abundance and survival with multievent mark-recapture models","interactions":[],"lastModifiedDate":"2024-02-13T20:51:18.474673","indexId":"70237004","displayToPublicDate":"2022-09-22T10:34:52","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Estimating Pacific walrus abundance and survival with multievent mark-recapture models","docAbstract":"Arctic marine ecosystems are undergoing rapid physical and biological change associated with climate warming and loss of sea ice. Sea ice loss will impact many species through altered spatial and temporal availability of resources. In the Bering and Chukchi Seas, the Pacific walrus Odobenus rosmarus divergens is one species that could be impacted by rapid environmental change, and thus, population assessments are needed to monitor changes in the status of this ecologically and culturally important marine mammal. We conducted a 5 yr genetic mark-recapture study to estimate demographic parameters for the Pacific walrus. We developed a Bayesian multievent mark-recapture model to estimate walrus survival and abundance while accounting for age misclassification. We estimated the probability of juvenile annual survival as 0.63 (95% credible interval [CrI]: 0.39-0.87) and adult female annual survival as 0.90 (95% CrI: 0.74-1.00). We estimated total abundance as 257 193 (95% CrI: 171 138-366 366). We provide the first estimate of total Pacific walrus abundance since an aerial survey in 2006, which generated a substantially less precise total population size estimate (129 000; 95% CI: 55 000-507 000). The emerging ecosystem state in the northern Bering and Chukchi Seas will likely result in a decline in Pacific walrus abundance, but there is substantial uncertainty regarding the magnitude of the anticipated decline. Our demographic estimates provide critical information to evaluate future population trends of this subsistence resource vital to communities that border the Bering and Chukchi Seas in the USA and Russia.
","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/meps14131","usgsCitation":"Beatty, W., Lemons, P., Everett, J.P., Lewis, C.J., Taylor, R.L., Lynn, R.J., Sethi, S.A., Quakenbush, L.T., Citta, J.J., Kissling, M., Kryukova, N., and Wennburg, J.K., 2022, Estimating Pacific walrus abundance and survival with multievent mark-recapture models: Marine Ecology Progress Series, v. 697, p. 167-182, https://doi.org/10.3354/meps14131.","productDescription":"16 p.","startPage":"167","endPage":"182","ipdsId":"IP-137159","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":473,"text":"New York Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":446361,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps14131","text":"Publisher Index 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Center","active":true,"usgs":true}],"preferred":true,"id":853039,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lemons, Patrick R.","contributorId":288791,"corporation":false,"usgs":false,"family":"Lemons","given":"Patrick R.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":853040,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Everett, Jason P.","contributorId":296986,"corporation":false,"usgs":false,"family":"Everett","given":"Jason","email":"","middleInitial":"P.","affiliations":[{"id":64270,"text":"U.S. Fish and Wildlife Service, Conservation Genetics Laboratory, Anchorage, Alaska 99503","active":true,"usgs":false}],"preferred":false,"id":853041,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lewis, Cara J.","contributorId":288794,"corporation":false,"usgs":false,"family":"Lewis","given":"Cara","email":"","middleInitial":"J.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":853042,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Taylor, Rebecca L. 0000-0001-8459-7614 rebeccataylor@usgs.gov","orcid":"https://orcid.org/0000-0001-8459-7614","contributorId":5112,"corporation":false,"usgs":true,"family":"Taylor","given":"Rebecca","email":"rebeccataylor@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":853043,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lynn, Robert J.","contributorId":288795,"corporation":false,"usgs":false,"family":"Lynn","given":"Robert","email":"","middleInitial":"J.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":853044,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sethi, Suresh A. 0000-0002-0053-1827","orcid":"https://orcid.org/0000-0002-0053-1827","contributorId":296987,"corporation":false,"usgs":false,"family":"Sethi","given":"Suresh","email":"","middleInitial":"A.","affiliations":[{"id":64271,"text":"U.S. Geological Survey, New York Cooperative Fish and Wildlife Research Unit, Ithaca, New York 14853","active":true,"usgs":false}],"preferred":false,"id":853045,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Quakenbush, Lori T.","contributorId":192737,"corporation":false,"usgs":false,"family":"Quakenbush","given":"Lori","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":853046,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Citta, John J.","contributorId":175350,"corporation":false,"usgs":false,"family":"Citta","given":"John","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":853047,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kissling, Michelle","contributorId":222160,"corporation":false,"usgs":false,"family":"Kissling","given":"Michelle","affiliations":[{"id":40501,"text":"U.S. Fish and Wildlife Service, Marine Mammals Management, 3000 Vintage Blvd., Suite 201, Juneau, AK 99801","active":true,"usgs":false}],"preferred":false,"id":853048,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kryukova, Natalia","contributorId":296988,"corporation":false,"usgs":false,"family":"Kryukova","given":"Natalia","email":"","affiliations":[{"id":64272,"text":"Kamchatka Branch of the Pacific Geographical Institute of Far Eastern Branch of Russian Academy of Sciences, Petropavlovsk-Kamchatsky, Russia, 683000","active":true,"usgs":false}],"preferred":false,"id":853049,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Wennburg, John K.","contributorId":296989,"corporation":false,"usgs":false,"family":"Wennburg","given":"John","email":"","middleInitial":"K.","affiliations":[{"id":64270,"text":"U.S. Fish and Wildlife Service, Conservation Genetics Laboratory, Anchorage, Alaska 99503","active":true,"usgs":false}],"preferred":false,"id":853050,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70254871,"text":"70254871 - 2022 - Streamwide evaluation of survival and reproduction of MYY and wild Brook Trout populations","interactions":[],"lastModifiedDate":"2024-06-11T16:30:55.590214","indexId":"70254871","displayToPublicDate":"2022-09-20T11:26:38","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Streamwide evaluation of survival and reproduction of MYY and wild Brook Trout populations","title":"Streamwide evaluation of survival and reproduction of MYY and wild Brook Trout populations","docAbstract":"Brook Trout Salvelinus fontinalis have been introduced across the western USA, where the species competes with and often replaces native salmonids. Nonnative Brook Trout are difficult to eradicate; thus, new removal strategies are needed. One novel methodology couples the partial suppression of wild Brook Trout with the replacement of MYY Brook Trout (males with two Y chromosomes). If MYY fish survive to reproduce with wild female Brook Trout, their progeny will be 100% male, which eventually shifts the sex ratio and theoretically extirpates the population. However, the effectiveness of this approach depends on survival and reproduction of MYY fish relative to the surviving wild conspecifics. From 2018 to 2020, we annually removed an estimated 45.7% of wild Brook Trout from three streams in New Mexico and stocked fingerling MYY Brook Trout (mean TL = 94 mm; range = 61–123 mm) targeting 50.0% of wild annual abundance estimates. Annual survival for MYY and wild Brook Trout was similar in Leandro Creek (MYY = 0.63 and wild = 0.63) and Rito de los Piños (MYY = 0.37 and wild = 0.46) but differed in Placer Creek (MYY = 0.28 and wild = 0.75). During spawning, we evaluated the reproductive potential of MYY Brook Trout by comparing the percentage of sexually mature male Brook Trout comprised of MYY fish to the percentage of hybrid (MYY × wild) F1 progeny. By the second spawning season (2019), MYY fish comprised 59.8, 50.4, and 34.5% of milt-producing Brook Trout, which resulted in 55.1, 33.3, and 0% hybrid progeny in Leandro Creek, Rito de los Piños, and Placer Creek, respectively. We demonstrated that MYY fish exhibit similar vital rates compared with wild conspecifics in two of three streams; however, differences among streams highlights unforeseen variables that influence MYY survival and reproduction. The study offers promising results of the MYY approach for potentially eradicating unwanted Brook Trout populations.
","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10844","usgsCitation":"Armstrong, B.A., Caldwell, C.A., Ruhl, M.E., and Bohling, J.H., 2022, Streamwide evaluation of survival and reproduction of MYY and wild Brook Trout populations: North American Journal of Fisheries Management, v. 42, no. 6, p. 1398-1413, https://doi.org/10.1002/nafm.10844.","productDescription":"16 p.","startPage":"1398","endPage":"1413","ipdsId":"IP-142011","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":429889,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -109.13741786347595,\n 36.982765163715015\n ],\n [\n -109.13741786347595,\n 34.86447896257049\n ],\n [\n -103.02113902174435,\n 34.86447896257049\n ],\n [\n -103.02113902174435,\n 36.982765163715015\n ],\n [\n -109.13741786347595,\n 36.982765163715015\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"42","issue":"6","noUsgsAuthors":false,"publicationDate":"2022-09-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Armstrong, Benjamin A. W.","contributorId":337873,"corporation":false,"usgs":false,"family":"Armstrong","given":"Benjamin","email":"","middleInitial":"A. W.","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":902744,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caldwell, Colleen A. 0000-0002-4730-4867 ccaldwel@usgs.gov","orcid":"https://orcid.org/0000-0002-4730-4867","contributorId":3050,"corporation":false,"usgs":true,"family":"Caldwell","given":"Colleen","email":"ccaldwel@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":902745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruhl, Michael E.","contributorId":287915,"corporation":false,"usgs":false,"family":"Ruhl","given":"Michael","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":902746,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bohling, Justin H.","contributorId":171656,"corporation":false,"usgs":false,"family":"Bohling","given":"Justin","email":"","middleInitial":"H.","affiliations":[{"id":6975,"text":"Penn State","active":true,"usgs":false}],"preferred":false,"id":902747,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}