{"pageNumber":"747","pageRowStart":"18650","pageSize":"25","recordCount":184606,"records":[{"id":70203174,"text":"70203174 - 2019 - Methane emissions from artificial waterbodies dominate the carbon footprint of irrigation: A study of transitions in the food-energy-water-climate nexus (Spain, 1900-2014)","interactions":[],"lastModifiedDate":"2019-04-25T08:39:36","indexId":"70203174","displayToPublicDate":"2019-04-16T16:27:34","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Methane emissions from artificial waterbodies dominate the carbon footprint of irrigation: A study of transitions in the food-energy-water-climate nexus (Spain, 1900-2014)","docAbstract":"

Irrigation in the Mediterranean region has been used for millennia and has greatly expanded with industrialization. Irrigation is critical for climate change adaptation, but it is also an important source of greenhouse gas emissions. This study analyzes the carbon (C) footprint of irrigation in Spain, covering the complete historical process of mechanization. A 21-fold total, 6-fold area-based, and 4-fold product-based increase in the carbon footprint was observed during the 20th century, despite an increase in water use efficiency. CH4 emissions from waterbodies, which had not previously been considered in the C footprint of irrigation systems, dominated the emission budget during most of the analyzed period. Technologies to save water and tap new water resources greatly increased energy and infrastructure demand, while improvements in power generation efficiency had a limited influence on irrigation emissions. Electricity production from irrigation dams may contribute to climate change mitigation, but the amount produced in relation to that consumed in irrigation has greatly declined. High uncertainty in CH4 emission estimates from waterbodies stresses a need for more spatially resolved data and an improved empirical knowledge of the links between water quality, water level fluctuations, and emissions at the regional scale.

","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.9b00177","usgsCitation":"Aguilera, E., Vila-Traver, J., Deemer, B., Infante-Amate, J., Guzman, G.I., and Gonzalez de Molina, M., 2019, Methane emissions from artificial waterbodies dominate the carbon footprint of irrigation: A study of transitions in the food-energy-water-climate nexus (Spain, 1900-2014): Environmental Science & Technology, 11 p., https://doi.org/10.1021/acs.est.9b00177.","productDescription":"11 p.","onlineOnly":"Y","ipdsId":"IP-104496","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":363210,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Spain","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-9.03482,41.88057],[-8.98443,42.59278],[-9.39288,43.02662],[-7.97819,43.74834],[-6.75449,43.56791],[-5.41189,43.57424],[-4.34784,43.40345],[-3.51753,43.4559],[-1.90135,43.4228],[-1.50277,43.03401],[0.33805,42.57955],[0.70159,42.79573],[1.82679,42.34338],[2.986,42.47302],[3.03948,41.89212],[2.09184,41.22609],[0.81052,41.01473],[0.72133,40.67832],[0.10669,40.12393],[-0.27871,39.30998],[0.11129,38.73851],[-0.46712,38.29237],[-0.68339,37.64235],[-1.43838,37.44306],[-2.14645,36.67414],[-3.41578,36.6589],[-4.3689,36.67784],[-4.99522,36.32471],[-5.37716,35.94685],[-5.86643,36.02982],[-6.23669,36.36768],[-6.52019,36.94291],[-7.45373,37.09779],[-7.53711,37.4289],[-7.16651,37.80389],[-7.02928,38.07576],[-7.37409,38.37306],[-7.09804,39.03007],[-7.49863,39.62957],[-7.06659,39.71189],[-7.02641,40.18452],[-6.86402,40.33087],[-6.85113,41.11108],[-6.38909,41.38182],[-6.66861,41.88339],[-7.25131,41.91835],[-7.42251,41.79207],[-8.01317,41.79089],[-8.26386,42.28047],[-8.67195,42.13469],[-9.03482,41.88057]]]},\"properties\":{\"name\":\"Spain\"}}]}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Aguilera, Eduardo","contributorId":215050,"corporation":false,"usgs":false,"family":"Aguilera","given":"Eduardo","email":"","affiliations":[{"id":39165,"text":"Universidad Pablo de Olavide. Ctra Utrera km 1, Sevilla, 41009 Spain, Corresponding author. Phone: +34 675309372","active":true,"usgs":false}],"preferred":false,"id":761514,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vila-Traver, Jaime","contributorId":215051,"corporation":false,"usgs":false,"family":"Vila-Traver","given":"Jaime","email":"","affiliations":[{"id":39166,"text":"Universidad Pablo de Olavide. Ctra Utrera km 1, Sevilla, 41009 Spain","active":true,"usgs":false}],"preferred":false,"id":761515,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Deemer, Bridget 0000-0002-5845-1002 bdeemer@usgs.gov","orcid":"https://orcid.org/0000-0002-5845-1002","contributorId":215049,"corporation":false,"usgs":true,"family":"Deemer","given":"Bridget","email":"bdeemer@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":761513,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Infante-Amate, Juan","contributorId":215052,"corporation":false,"usgs":false,"family":"Infante-Amate","given":"Juan","email":"","affiliations":[{"id":39166,"text":"Universidad Pablo de Olavide. Ctra Utrera km 1, Sevilla, 41009 Spain","active":true,"usgs":false}],"preferred":false,"id":761516,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Guzman, Gloria I.","contributorId":215053,"corporation":false,"usgs":false,"family":"Guzman","given":"Gloria","email":"","middleInitial":"I.","affiliations":[{"id":39166,"text":"Universidad Pablo de Olavide. Ctra Utrera km 1, Sevilla, 41009 Spain","active":true,"usgs":false}],"preferred":false,"id":761517,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gonzalez de Molina, Manuel","contributorId":215054,"corporation":false,"usgs":false,"family":"Gonzalez de Molina","given":"Manuel","email":"","affiliations":[{"id":39166,"text":"Universidad Pablo de Olavide. Ctra Utrera km 1, Sevilla, 41009 Spain","active":true,"usgs":false}],"preferred":false,"id":761518,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70215338,"text":"70215338 - 2019 - Streptomyces corynorhini sp. nov., isolated from Townsend’s big-eared bats (Corynorhinus townsendii)","interactions":[],"lastModifiedDate":"2020-10-15T19:38:48.984691","indexId":"70215338","displayToPublicDate":"2019-04-16T14:32:42","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":821,"text":"Antonie van Leeuwenhoek","active":true,"publicationSubtype":{"id":10}},"title":"Streptomyces corynorhini sp. nov., isolated from Townsend’s big-eared bats (Corynorhinus townsendii)","docAbstract":"

Four bacterial strains, with the capability of inhibiting Pseudogymnoascus destructans, the causative agent of white-nose syndrome, were isolated from male Townsend’s big-eared bats (Corynorhinus townsendii, Family: Vespertilionidae) in New Mexico. Isolates AC161, AC162, AC208, and AC230T were characterised as a novel clade using morphological, phenotypic and phylogenetic analysis. A draft genome of the type strain was completed to determine its taxonomy and secondary metabolite biosynthetic potential. Multi-locus sequence analysis nests AC230T with neighbours Streptomyces scopuliridis (NRRL B-24574T), Streptomyces lushanensis (NRRL B-24994T), Streptomyces odonnellii (NRRL B-24891T) and Streptomyces niveus (NRRL 2466T). Further phylogenetic analysis showed the MLSA distances between AC230T and its near neighbours are much greater than the generally accepted threshold (> 0.007) for bacterial species delineation. DNA–DNA relatedness between AC230T and its near neighbours ranged between 25.7 ± 2.1 and 29.9 ± 2.4%. The DNA G+C content of the genomic DNA of the type strain is 71.7 mol%. Isolate AC230T presents a white to ivory hue on most ISP media and its micromorphology exhibits ovoid spores with smooth surfaces in flexuous chains. Based on our study of AC230T, the strain warrants the assignment to a novel species, for which the name Streptomyces corynorhini sp. nov. is proposed. The type strain is AC230T (= JCM 33171T, = ATCC TSD155T).

","language":"English","publisher":"Springer","doi":"10.1007/s10482-019-01261-z","usgsCitation":"Hamm, P.S., Caimi, N.A., Northup, D.E., Valdez, E.W., Buecher, D.C., Dunlap, C.A., Labeda, D.P., and Porras-Alfaro, A., 2019, Streptomyces corynorhini sp. nov., isolated from Townsend’s big-eared bats (Corynorhinus townsendii): Antonie van Leeuwenhoek, v. 112, p. 1297-1305, https://doi.org/10.1007/s10482-019-01261-z.","productDescription":"9 p.","startPage":"1297","endPage":"1305","ipdsId":"IP-101024","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":379432,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"112","noUsgsAuthors":false,"publicationDate":"2019-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Hamm, Paris S.","contributorId":193654,"corporation":false,"usgs":false,"family":"Hamm","given":"Paris","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":801835,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caimi, Nicole A.","contributorId":193655,"corporation":false,"usgs":false,"family":"Caimi","given":"Nicole","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":801836,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Northup, Diana E.","contributorId":83836,"corporation":false,"usgs":true,"family":"Northup","given":"Diana","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":801837,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Valdez, Ernest W. 0000-0002-7262-3069 ernie@usgs.gov","orcid":"https://orcid.org/0000-0002-7262-3069","contributorId":3600,"corporation":false,"usgs":true,"family":"Valdez","given":"Ernest","email":"ernie@usgs.gov","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":801838,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buecher, Debbie C.","contributorId":193657,"corporation":false,"usgs":false,"family":"Buecher","given":"Debbie","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":801839,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dunlap, Christopher A.","contributorId":193658,"corporation":false,"usgs":false,"family":"Dunlap","given":"Christopher","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":801840,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Labeda, David P.","contributorId":193659,"corporation":false,"usgs":false,"family":"Labeda","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":801841,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Porras-Alfaro, Andrea","contributorId":193660,"corporation":false,"usgs":false,"family":"Porras-Alfaro","given":"Andrea","email":"","affiliations":[],"preferred":false,"id":801842,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70215599,"text":"70215599 - 2019 - Fish assemblage structure and fisheries resources in Puerto Rico’s riverine estuaries","interactions":[],"lastModifiedDate":"2020-10-25T18:46:01.685685","indexId":"70215599","displayToPublicDate":"2019-04-16T13:41:45","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2680,"text":"Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science","active":true,"publicationSubtype":{"id":10}},"title":"Fish assemblage structure and fisheries resources in Puerto Rico’s riverine estuaries","docAbstract":"

Tropical estuaries are diverse and productive habitats with respect to their fish assemblages and associated fisheries, but these ecosystems and fisheries are imperiled by multiple anthropogenic threats. Despite the economic, social, and biodiversity value of tropical estuarine fish assemblages, they are poorly understood, especially those on Caribbean islands. We sampled the fish assemblages of four estuaries that were broadly representative of riverine estuaries in Puerto Rico, including the Río Grande de Arecibo, Río Espiritu Santo, Río Mameyes, and Río Sabana. We used a combination of passive (gill nets) and active (seine) gears at locations that spanned the salinity gradient of each estuary during July–October 2013–2014 (rainy season) and March 2015 (dry season). Fish species richness among the riverine estuaries varied from 18 to 29 and was highest in the Río Espiritu Santo estuary. Nonmetric multidimensional scaling differentiated fish assemblages among estuaries but not by season or consistently by location within an estuary. Spearman's rank correlation analysis also revealed dissimilarity among each estuary's fish assemblage, as most pairwise correlations between the species compositions were not significant. We identified common and widespread species among estuaries, including sport fishes, such as the Tarpon Megalops atlanticus and Common Snook Centropomus undecimalis. As the only multi‐river assessment of riverine estuary fish assemblages in Puerto Rico, our results provide the best available information about the spatial variability of assemblages and fisheries resources. This information will benefit future conservation and fisheries management efforts, which are needed due to increasing anthropogenic impacts, such as illegal harvest, invasive species, and water diversions.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/mcf2.10072","usgsCitation":"Engman, A., Kwak, T.J., Fischer, J., and Lilyestrom, C., 2019, Fish assemblage structure and fisheries resources in Puerto Rico’s riverine estuaries: Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science, v. 11, no. 2, p. 189-201, https://doi.org/10.1002/mcf2.10072.","productDescription":"13 p.","startPage":"189","endPage":"201","ipdsId":"IP-095472","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":467694,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/mcf2.10072","text":"Publisher Index Page"},{"id":379728,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto 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J.R.","contributorId":243988,"corporation":false,"usgs":false,"family":"Fischer","given":"J.R.","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":802940,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lilyestrom, C.G.","contributorId":243989,"corporation":false,"usgs":false,"family":"Lilyestrom","given":"C.G.","affiliations":[{"id":48784,"text":"Puerto Rico Department of Natural and Environmental Resources","active":true,"usgs":false}],"preferred":false,"id":802941,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70203441,"text":"70203441 - 2019 - Sitting ducklings: Timing of hatch, nest departure, and predation risk for dabbling duck broods","interactions":[],"lastModifiedDate":"2019-05-14T13:32:30","indexId":"70203441","displayToPublicDate":"2019-04-16T13:31:32","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Sitting ducklings: Timing of hatch, nest departure, and predation risk for dabbling duck broods","docAbstract":"

For ground‐nesting waterfowl, the timing of egg hatch and duckling departure from the nest may be influenced by the risk of predation at the nest and en route to wetlands and constrained by the time required for ducklings to imprint on the hen and be physically able to leave the nest. We determined the timing of hatch, nest departure, and predation on dabbling duck broods using small video cameras placed at the nests of mallard (Anas platyrhynchos; n = 26), gadwall (Mareca strepera; n = 24), and cinnamon teal (Anas cyanoptera; n = 5). Mallard eggs began to hatch throughout the day and night, whereas gadwall eggs generally started to hatch during daylight hours (mean 7.5 hr after dawn). Among all species, duckling departure from the nest occurred during daylight (98%), and 53% of hens typically left the nest with their broods 1–4 hr after dawn. For mallard and gadwall, we identified three strategies for the timing of nest departure: (a) 9% of broods left the nest the same day that eggs began to hatch (6–12 hr later), (b) 81% of broods left the nest the day after eggs began to hatch, and (c) 10% of broods waited 2 days to depart the nest after eggs began to hatch, leaving the nest just after the second dawn (27–42 hr later). Overall, eggs were depredated at 10% of nests with cameras in the 2 days prior to hatch and ducklings were depredated at 15% of nests with cameras before leaving the nest. Our results suggest that broods prefer to depart the nest early in the morning, which may best balance developmental constraints with predation risk both at the nest and en route to wetlands.

","language":"English","publisher":"Wiley","doi":"10.1002/ece3.5146","usgsCitation":"Peterson, S.H., Ackerman, J., Herzog, M.P., Hartman, C., Croston, R., Feldheim, C.L., and Casazza, M.L., 2019, Sitting ducklings: Timing of hatch, nest departure, and predation risk for dabbling duck broods: Ecology and Evolution, v. 9, no. 9, p. 5490-5500, https://doi.org/10.1002/ece3.5146.","productDescription":"11 p.","startPage":"5490","endPage":"5500","ipdsId":"IP-104323","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":467695,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.5146","text":"Publisher Index Page"},{"id":437496,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93ZFTZI","text":"USGS data release","linkHelpText":"The timing of dabbling duckling hatch, nest departure and depredation in Suisun Marsh, California from 2015-2017"},{"id":363780,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":363777,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1002/ece3.5146"}],"volume":"9","issue":"9","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Peterson, Sarah H. 0000-0003-2773-3901 sepeterson@usgs.gov","orcid":"https://orcid.org/0000-0003-2773-3901","contributorId":167181,"corporation":false,"usgs":true,"family":"Peterson","given":"Sarah","email":"sepeterson@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":762715,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322 jackerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":147078,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua T.","email":"jackerman@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":762714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Herzog, Mark P. 0000-0002-5203-2835 mherzog@usgs.gov","orcid":"https://orcid.org/0000-0002-5203-2835","contributorId":131158,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark","email":"mherzog@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":762716,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hartman, Christopher","contributorId":215579,"corporation":false,"usgs":true,"family":"Hartman","given":"Christopher","email":"","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":762717,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Croston, Rebecca 0000-0003-4696-0878","orcid":"https://orcid.org/0000-0003-4696-0878","contributorId":206560,"corporation":false,"usgs":true,"family":"Croston","given":"Rebecca","email":"","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":762718,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Feldheim, Cliff L.","contributorId":206561,"corporation":false,"usgs":false,"family":"Feldheim","given":"Cliff","email":"","middleInitial":"L.","affiliations":[{"id":37342,"text":"California Department of Water Resources","active":true,"usgs":false}],"preferred":false,"id":762719,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":762720,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70203130,"text":"70203130 - 2019 - Quantifying risk of whale–vessel collisions across space, time, and management policies","interactions":[],"lastModifiedDate":"2019-04-23T13:29:45","indexId":"70203130","displayToPublicDate":"2019-04-16T13:02:40","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying risk of whale–vessel collisions across space, time, and management policies","docAbstract":"Transportation industries can negatively impact wildlife populations, including through increased risk of mortality. To mitigate this risk successfully, managers and conservationists must estimate risk across space, time, and alternative management policies. Evaluating this risk at fine spatial and temporal scales can be challenging, especially in systems where wildlife–vehicle collisions are rare or imperfectly detected. The sizes and behaviors of wildlife and vehicles influence collision risk, as well as how much they co‐occur in space and time. We applied a modeling framework based on encounter theory to quantify the risk of lethal collisions between endangered North Atlantic right whales and vessels. Using Automatic Identification System vessel traffic data and spatially explicit estimates of right whale abundance that account for imperfect detection, we modeled risk at fine spatiotemporal scales before and after implementation of a vessel speed rule in the southeastern United States. The expected seasonal mortality rates of right whales decreased by 22% on average after the speed rule was implemented, indicating that the rule is effective at reducing lethal collisions. The rule's effect on risk was greatest where right whales were abundant and vessel traffic was heavy, and its effect varied considerably across time and space. Our framework is spatiotemporally flexible, process‐oriented, computationally efficient and accounts for uncertainty, making it an ideal approach for evaluating many wildlife management policies, including those regarding collisions between wildlife and vehicles and cases in which wildlife may encounter other dangerous features such as wind farms, seismic surveys, or fishing gear.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2713","usgsCitation":"Crum, N.J., Gowan, T.A., Krzystan, A., and Martin, J., 2019, Quantifying risk of whale–vessel collisions across space, time, and management policies: Ecosphere, v. 10, no. 4, Article: e02713; 15 p., https://doi.org/10.1002/ecs2.2713.","productDescription":"Article: e02713; 15 p.","ipdsId":"IP-096433","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":467696,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2713","text":"Publisher Index Page"},{"id":363143,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia, Florida","city":"Brunswick, Fernandina Beach, Jacksonville","otherGeospatial":"Atlantic Ocean","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.67236328125,\n 30.225848323247707\n ],\n [\n -81.14776611328124,\n 30.225848323247707\n ],\n [\n -81.14776611328124,\n 31.203404950917395\n ],\n [\n -81.67236328125,\n 31.203404950917395\n ],\n [\n -81.67236328125,\n 30.225848323247707\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"4","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Crum, Nathan J.","contributorId":200016,"corporation":false,"usgs":false,"family":"Crum","given":"Nathan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":761309,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gowan, Timothy A.","contributorId":138595,"corporation":false,"usgs":false,"family":"Gowan","given":"Timothy","email":"","middleInitial":"A.","affiliations":[{"id":12456,"text":"former USGS scientist","active":true,"usgs":false}],"preferred":false,"id":761310,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krzystan, Andrea","contributorId":214962,"corporation":false,"usgs":false,"family":"Krzystan","given":"Andrea","affiliations":[{"id":35758,"text":"FWC","active":true,"usgs":false}],"preferred":false,"id":761311,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Julien 0000-0002-7375-129X julienmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":5785,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","email":"julienmartin@usgs.gov","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":761308,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70202885,"text":"ds1113 - 2019 - Water-level data for the Albuquerque Basin and adjacent areas, central New Mexico, period of record through September 30, 2017","interactions":[],"lastModifiedDate":"2021-08-26T14:15:48.171906","indexId":"ds1113","displayToPublicDate":"2019-04-16T12:52:58","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"1113","displayTitle":"Water-Level Data for the Albuquerque Basin and Adjacent Areas, Central New Mexico, Period of Record Through September 30, 2017","title":"Water-level data for the Albuquerque Basin and adjacent areas, central New Mexico, period of record through September 30, 2017","docAbstract":"

The Albuquerque Basin, located in central New Mexico, is about 100 miles long and 25–40 miles wide. The basin is hydrologically defined as the extent of consolidated and unconsolidated deposits of Tertiary and Quaternary age that encompasses the structural Rio Grande Rift between San Acacia to the south and Cochiti Lake to the north. A 20-percent population increase in the basin from 1990 to 2000 and a 22-percent population increase from 2000 to 2010 resulted in an increased demand for water in areas within the basin. Drinking-water supplies throughout the basin were obtained solely from groundwater resources until December 2008, when the Albuquerque Bernalillo County Water Utility Authority (ABCWUA) began treatment and distribution of surface water from the Rio Grande through the San Juan-Chama Drinking Water Project.

An initial network of wells was established by the U.S. Geological Survey (USGS) in cooperation with the City of Albuquerque from April 1982 through September 1983 to monitor changes in groundwater levels throughout the Albuquerque Basin. In 1983, this network consisted of 6 wells with analog-to-digital recorders and 27 wells where water levels were measured monthly. The network currently (2017) consists of 122 wells and piezometers. (A piezometer is a specialized well open to a specific depth in the aquifer, often of small diameter and nested with other piezometers open to different depths.) The USGS, in cooperation with the ABCWUA and the New Mexico Office of the State Engineer, currently (2017) measures and reports water levels from the 122 wells and piezometers in the network; this report presents water-level data collected by USGS personnel at those 122 sites through water years 2016 and 2017 (October 1, 2015, through September 30, 2017). Water levels that were collected from wells in previous water years were published in previous USGS reports.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds1113","collaboration":"Prepared in cooperation with the Albuquerque Bernalillo County Water Utility Authority","usgsCitation":"Beman, J.E., Ritchie, A.B., and Galanter, A.E., 2019, Water-level data for the Albuquerque Basin and adjacent areas, central New Mexico, period of record through September 30, 2017 (ver. 1.1, August 2021): U.S. Geological Survey Data Series 1113, 39 p., https://doi.org/10.3133/ds1113.","productDescription":"iii, 39 p.","numberOfPages":"48","onlineOnly":"Y","ipdsId":"IP-106011","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":362978,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/1113/coverthb2.jpg"},{"id":388366,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/1113/ds1113.pdf","text":"Report","size":"5.66 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 1113"},{"id":388367,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/ds/1113/versionHist.txt","text":"Version History","size":"575 B","linkFileType":{"id":2,"text":"txt"},"description":"DS 1113 Version History"}],"country":"United States","state":"New Mexico","otherGeospatial":"Albuquerque Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.57812499999999,\n 33.710632271492095\n ],\n [\n -106.14990234375,\n 33.710632271492095\n ],\n [\n -106.14990234375,\n 35.764343479667176\n ],\n [\n -107.57812499999999,\n 35.764343479667176\n ],\n [\n -107.57812499999999,\n 33.710632271492095\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.1: August 2021","contact":"

Director, New Mexico Water Science Center
U.S. Geological Survey
6700 Edith Blvd. NE
Albuquerque, NM 87113

","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2019-04-16","revisedDate":"2021-08-25","noUsgsAuthors":false,"publicationDate":"2019-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Beman, Joseph E. 0000-0002-0689-029X jebeman@usgs.gov","orcid":"https://orcid.org/0000-0002-0689-029X","contributorId":214613,"corporation":false,"usgs":true,"family":"Beman","given":"Joseph","email":"jebeman@usgs.gov","middleInitial":"E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760394,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ritchie, Andre B. 0000-0003-1289-653X","orcid":"https://orcid.org/0000-0003-1289-653X","contributorId":214611,"corporation":false,"usgs":true,"family":"Ritchie","given":"Andre","email":"","middleInitial":"B.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760392,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Galanter, Amy E. 0000-0002-2960-0136","orcid":"https://orcid.org/0000-0002-2960-0136","contributorId":214612,"corporation":false,"usgs":true,"family":"Galanter","given":"Amy E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":760393,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70215592,"text":"70215592 - 2019 - Mechanisms of a coniferous refugium persistence under drought and heat","interactions":[],"lastModifiedDate":"2020-10-25T17:51:11.992152","indexId":"70215592","displayToPublicDate":"2019-04-16T12:47:59","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Mechanisms of a coniferous refugium persistence under drought and heat","docAbstract":"

Predictions of warmer droughts causing increasing forest mortality are becoming abundant, yet few studies have investigated the mechanisms of forest persistence. To examine the resistance of forests to warmer droughts, we used a five-year precipitation reduction (~45% removal), heat (+4 °C above ambient) and combined drought and heat experiment in an isolated stand of mature Pinus edulis-Juniperus monosperma. Despite severe experimental drought and heating, no trees died, and we observed only minor evidence of hydraulic failure or carbon starvation. Two mechanisms promoting survival were supported. First, access to bedrock water, or 'hydraulic refugia' aided trees in their resistance to the experimental conditions. Second, the isolation of this stand amongst a landscape of dead trees precluded ingress by Ips confusus, frequently the ultimate biotic mortality agent of piñon. These combined abiotic and biotic landscape-scale processes can moderate the impacts of future droughts on tree mortality by enabling tree avoidance of hydraulic failure, carbon starvation, and exposure to attacking abiotic agents.

","language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/ab0921","usgsCitation":"McDowell, N.G., Grossiord, C., Adams, H.D., Pinzon-Navarro, S., MacKay, D.S., Breshears, D., Allen, C.D., Borrego, I., Dickman, L.T., and Collins, A.D., 2019, Mechanisms of a coniferous refugium persistence under drought and heat: Environmental Research Letters, v. 14, no. 4, 045014, 14 p., https://doi.org/10.1088/1748-9326/ab0921.","productDescription":"045014, 14 p.","ipdsId":"IP-105101","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":467697,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/ab0921","text":"Publisher Index Page"},{"id":379721,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"4","noUsgsAuthors":false,"publicationDate":"2019-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"McDowell, Nate G.","contributorId":207743,"corporation":false,"usgs":false,"family":"McDowell","given":"Nate","email":"","middleInitial":"G.","affiliations":[{"id":37622,"text":"Earth Systems Science Division, Pacific Northwest National Laboratory","active":true,"usgs":false}],"preferred":false,"id":802874,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grossiord, Charlotte","contributorId":207749,"corporation":false,"usgs":false,"family":"Grossiord","given":"Charlotte","email":"","affiliations":[{"id":37625,"text":"Earth and Environmental Sciences Division, Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":802875,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Henry D.","contributorId":218785,"corporation":false,"usgs":false,"family":"Adams","given":"Henry","email":"","middleInitial":"D.","affiliations":[{"id":39910,"text":"Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM 87544, USA","active":true,"usgs":false}],"preferred":false,"id":802876,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pinzon-Navarro, Sara","contributorId":243957,"corporation":false,"usgs":false,"family":"Pinzon-Navarro","given":"Sara","email":"","affiliations":[{"id":48775,"text":"Univ. de Panama","active":true,"usgs":false}],"preferred":false,"id":802877,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"MacKay, D. Scott","contributorId":243958,"corporation":false,"usgs":false,"family":"MacKay","given":"D.","email":"","middleInitial":"Scott","affiliations":[{"id":37334,"text":"University at Buffalo","active":true,"usgs":false}],"preferred":false,"id":802878,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Breshears, Dave","contributorId":243959,"corporation":false,"usgs":false,"family":"Breshears","given":"Dave","email":"","affiliations":[{"id":28236,"text":"Univ of Arizona","active":true,"usgs":false}],"preferred":false,"id":802879,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":802880,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Borrego, Isaac","contributorId":207748,"corporation":false,"usgs":false,"family":"Borrego","given":"Isaac","email":"","affiliations":[{"id":37625,"text":"Earth and Environmental Sciences Division, Los Alamos National Laboratory","active":true,"usgs":false}],"preferred":false,"id":802881,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Dickman, L. Turin","contributorId":199441,"corporation":false,"usgs":false,"family":"Dickman","given":"L.","email":"","middleInitial":"Turin","affiliations":[],"preferred":false,"id":802882,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Collins, Adam D.","contributorId":199440,"corporation":false,"usgs":false,"family":"Collins","given":"Adam","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":802883,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70203540,"text":"70203540 - 2019 - Examination of Bathymodiolus childressi nutritional sources, isotopic niches, and food-web linkages at two seeps in the US Atlantic margin using stable isotope analysis and mixing models","interactions":[],"lastModifiedDate":"2019-08-19T16:48:54","indexId":"70203540","displayToPublicDate":"2019-04-16T12:34:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1369,"text":"Deep Sea Research Part A, Oceanographic Research Papers","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Examination of Bathymodiolus childressi nutritional sources, isotopic niches, and food-web linkages at two seeps in the US Atlantic margin using stable isotope analysis and mixing models","title":"Examination of Bathymodiolus childressi nutritional sources, isotopic niches, and food-web linkages at two seeps in the US Atlantic margin using stable isotope analysis and mixing models","docAbstract":"

Chemosynthetic environments support distinct benthic communities capable of utilizing reduced chemical compounds for nutrition. Hundreds of methane seeps have been documented along the U.S. Atlantic margin (USAM), and detailed investigations at a few seeps have revealed distinct environments containing mussels, microbial mats, authigenic carbonates, and soft sediments. The dominant mussel, Bathymodiolus childressi, contains methanotrophic endosymbionts but is also capable of filter feeding, and stable isotope analysis (SIA) of mussel-shell periostracum suggests that these mussels are mixotrophic, assimilating multiple food resources. However, it is unknown whether mixotrophy is widespread or varies spatially and temporally. We used SIA (δ13C, δ15N, and δ34S) and an isotope mixing model (MixSIAR) to estimate resource contribution to B. childressi and characterize food webs at two seep sites (Baltimore Seep; 400 m and Norfolk Seep; 1500 m depths) along the USAM, and applied a linear mixed-effects model to explore the role of mussel population density and tissue type in influencing SIA variance. After controlling for location and temporal variation, isotopic variability was a function of proportion of live mussels present and tissue type. Isotopic differences were also spatially discrete, possibly reflecting variations in the underlying carbon source at the two sites. Low mussel δ13C values (∼−63‰) are consistent with a dependence on microbial methane. However, MixSIAR results revealed mixotrophy for mussels at both sites, implying a reliance on a mixture of methane and phytoplankton-derived particulate organic material. The mixing model results also reveal population density-driven patterns, suggesting that resource use is a function of live mussel abundance. Mussel isotopes differed by tissue type, with gill having the lowest δ15N values relative to muscle and mantle tissues. Based on mass balance equations, up to 79% of the dissolved inorganic carbon (DIC) of the pore fluids within the anaerobic oxidation of the methane zone is derived from methane and available to fuel upper slope deep-sea communities, such as fishes (Dysommina rugosa and Symphurus nebulosus), echinoderms (Odontaster robustus, Echinus wallisi, and Gracilechinus affinis), and shrimp, (Alvinocaris markensis). The presence of these seeps thereby increases the overall trophic and community diversity of the USAM continental slope. Given the presence of hundreds of seeps within the region, primary production at seeps may serve as an important, yet unquantified, energy source to the USAM deep-sea environment.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.dsr.2019.04.002","usgsCitation":"Demopoulos, A., McClain Counts, J., Bourque, J.R., Prouty, N.G., Smith, B., Brooke, S., Ross, S., and Ruppel, C., 2019, Examination of Bathymodiolus childressi nutritional sources, isotopic niches, and food-web linkages at two seeps in the US Atlantic margin using stable isotope analysis and mixing models: Deep Sea Research Part A, Oceanographic Research Papers, v. 148, p. 53-66, https://doi.org/10.1016/j.dsr.2019.04.002.","productDescription":"14 p.","startPage":"53","endPage":"66","ipdsId":"IP-102400","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":467698,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.dsr.2019.04.002","text":"Publisher Index Page"},{"id":437497,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92KEVAT","text":"USGS data release","linkHelpText":"Stable isotopic insights into Bathymodiolus childressi at two seeps in the US Atlantic margin, data release"},{"id":364051,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland, North Carolina, Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.255859375,\n 34.379712580462204\n ],\n [\n -72.630615234375,\n 34.45221847282654\n ],\n [\n -72.57568359375,\n 39.41922073655956\n ],\n [\n -77.255859375,\n 39.52946653645165\n ],\n [\n -77.255859375,\n 34.379712580462204\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"148","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Demopoulos, Amanda 0000-0003-2096-4694","orcid":"https://orcid.org/0000-0003-2096-4694","contributorId":215717,"corporation":false,"usgs":true,"family":"Demopoulos","given":"Amanda","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":763067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McClain Counts, Jennifer 0000-0002-3383-5472","orcid":"https://orcid.org/0000-0002-3383-5472","contributorId":215718,"corporation":false,"usgs":true,"family":"McClain Counts","given":"Jennifer","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":763068,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bourque, Jill R. 0000-0003-3809-2601","orcid":"https://orcid.org/0000-0003-3809-2601","contributorId":215719,"corporation":false,"usgs":true,"family":"Bourque","given":"Jill","middleInitial":"R.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":763069,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":215720,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":763071,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Brian 0000-0002-0531-0492","orcid":"https://orcid.org/0000-0002-0531-0492","contributorId":215722,"corporation":false,"usgs":true,"family":"Smith","given":"Brian","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":763074,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brooke, Sandra","contributorId":150169,"corporation":false,"usgs":false,"family":"Brooke","given":"Sandra","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":763070,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ross, Steve W.","contributorId":41134,"corporation":false,"usgs":false,"family":"Ross","given":"Steve W.","affiliations":[{"id":32398,"text":"University of North Carolina Wilmington","active":true,"usgs":false}],"preferred":false,"id":763072,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ruppel, Carolyn 0000-0003-2284-6632 cruppel@usgs.gov","orcid":"https://orcid.org/0000-0003-2284-6632","contributorId":215721,"corporation":false,"usgs":true,"family":"Ruppel","given":"Carolyn","email":"cruppel@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":763073,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70203628,"text":"70203628 - 2019 - North-facing slopes and elevation shape asymmetric genetic structure in the range-restricted salamander Plethodon shenandoah","interactions":[],"lastModifiedDate":"2019-05-28T11:55:12","indexId":"70203628","displayToPublicDate":"2019-04-16T11:54:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"North-facing slopes and elevation shape asymmetric genetic structure in the range-restricted salamander Plethodon shenandoah","docAbstract":"Species with narrow environmental preferences are often distributed across fragmented patches of suitable habitat, and dispersal among subpopulations can be difficult to directly observe. Genetic data collected at population centers can help quantify gene flow, which is especially important for vulnerable species with a disjunct range. Plethodon shenandoah is a Federally Endangered salamander known only from three mountaintops in Virginia, USA. To reconstruct the evolutionary history and population connectivity of this species, we generated both mitochondrial and nuclear data using sequence capture for all three populations and found strong population structure that was independent of geographic distance. Both the nuclear markers and mitochondrial genome indicated a deep split between the most southern population and the combined central and northern population. Although there was some mitochondrial haplotype-splitting between the central and northern populations, there was complete admixture in nuclear markers. This is indicative of either a recent split or current male-biased dispersal among mountain isolates. Models of landscape resistance found that dispersal across north-facing slopes at mid-elevation levels best explain the observed genetic structure among populations. These unexpected results highlight the importance of landscape features in understanding and predicting movement and fragmentation of salamanders across space.","language":"English","publisher":"Wiley","doi":"10.1002/ece3.5064","usgsCitation":"Mulder, K., Cortes-Rodriguez, N., Brand, A.B., Campbell Grant, E.H., and Fleischer, R.C., 2019, North-facing slopes and elevation shape asymmetric genetic structure in the range-restricted salamander Plethodon shenandoah: Ecology and Evolution, v. 9, no. 9, p. 5094-5105, https://doi.org/10.1002/ece3.5064.","productDescription":"12 p.","startPage":"5094","endPage":"5105","ipdsId":"IP-102918","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467699,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.5064","text":"Publisher Index Page"},{"id":364188,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"9","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Mulder, KP","contributorId":215882,"corporation":false,"usgs":false,"family":"Mulder","given":"KP","email":"","affiliations":[{"id":36858,"text":"Smithsonian","active":true,"usgs":false}],"preferred":false,"id":763321,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cortes-Rodriguez, Nandadevi","contributorId":215883,"corporation":false,"usgs":false,"family":"Cortes-Rodriguez","given":"Nandadevi","email":"","affiliations":[{"id":36858,"text":"Smithsonian","active":true,"usgs":false}],"preferred":false,"id":763322,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brand, Adrianne B. 0000-0003-2664-0041 abrand@usgs.gov","orcid":"https://orcid.org/0000-0003-2664-0041","contributorId":3352,"corporation":false,"usgs":true,"family":"Brand","given":"Adrianne","email":"abrand@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":763323,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":763320,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fleischer, Robert C.","contributorId":127479,"corporation":false,"usgs":false,"family":"Fleischer","given":"Robert","email":"","middleInitial":"C.","affiliations":[{"id":7035,"text":"Smithsonian Conservation Biology Institute, National Zoological Park","active":true,"usgs":false}],"preferred":false,"id":763324,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70223248,"text":"70223248 - 2019 - Patterns of acoustical activity of bats prior to and 10 years after WNS on Fort Drum Army Installation, New York","interactions":[],"lastModifiedDate":"2021-08-19T16:41:35.486563","indexId":"70223248","displayToPublicDate":"2019-04-16T11:31:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Patterns of acoustical activity of bats prior to and 10 years after WNS on Fort Drum Army Installation, New York","docAbstract":"

Previous acoustic surveys, netting, and count data have shown that overall bat activity patterns have shifted among most species between pre- and post-white-nose syndrome (WNS) years in much of North America where WNS has occurred. However, the significance of these changes is based on the species-specific susceptibility to WNS. We used acoustically recorded echolocation passes obtained at Fort Drum, New York to describe changes in bat activity pre-WNS (2004–2007) to post-WNS (2008–2018). We examined seasonal and yearly changes in bat activity as they relate to the presence of WNS at hibernacula near (<25 km) Fort Drum. A priori, we expected that overall activity for communal hibernating species would be less in years following WNS, and migratory bats or those hibernating bats that are less affected by WNS would show no response or a positive response, due to niche relaxation/competitive release. Our results indicated both an overall and seasonal decrease in activity for Myotis spp. post-WNS. For WNS-susceptible species, our results reflect the high level of mortality in regional winter hibernacula post-WNS and possibly variable reproductive effort and recruitment thereafter. Although migratory bats did show increases in post-WNS activity throughout the summer, we found little evidence that community displacement was occurring on a nightly level by any species. The continuous spread of WNS across North America has had strong negative effects on bat populations of affected species, and our research identifies how individual species (both impacted and non-impacted) respond to WNS.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2019.e00633","usgsCitation":"Nocera, T., Ford, W., Silvis, A., and Dobony, C., 2019, Patterns of acoustical activity of bats prior to and 10 years after WNS on Fort Drum Army Installation, New York: Global Ecology and Conservation, v. 18, e00633, 9 p., https://doi.org/10.1016/j.gecco.2019.e00633.","productDescription":"e00633, 9 p.","ipdsId":"IP-101098","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467700,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2019.e00633","text":"Publisher Index Page"},{"id":388163,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Fort Drum Army Installation","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.574951171875,\n 44.006644643819655\n ],\n [\n -75.36895751953125,\n 44.188112606916484\n ],\n [\n -75.56121826171875,\n 44.268804788566165\n ],\n [\n -75.8660888671875,\n 44.05403780323783\n ],\n [\n -75.75897216796875,\n 43.98688630934305\n ],\n [\n -75.574951171875,\n 44.006644643819655\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"18","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nocera, Tomás","contributorId":264429,"corporation":false,"usgs":false,"family":"Nocera","given":"Tomás","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":821525,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":821524,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Silvis, Alexander","contributorId":264430,"corporation":false,"usgs":false,"family":"Silvis","given":"Alexander","affiliations":[{"id":54475,"text":"RES Inc","active":true,"usgs":false}],"preferred":false,"id":821526,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dobony, Christopher A.","contributorId":264431,"corporation":false,"usgs":false,"family":"Dobony","given":"Christopher A.","affiliations":[{"id":54476,"text":"Fort Drum","active":true,"usgs":false}],"preferred":false,"id":821527,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70203554,"text":"70203554 - 2019 - Monitoring the Riverine Pulse: Applying high-frequency nitrate data to advance integrative understanding of biogeochemical and hydrological processes","interactions":[],"lastModifiedDate":"2019-05-23T07:29:18","indexId":"70203554","displayToPublicDate":"2019-04-16T09:48:22","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5067,"text":"WIREs Water","active":true,"publicationSubtype":{"id":10}},"title":"Monitoring the Riverine Pulse: Applying high-frequency nitrate data to advance integrative understanding of biogeochemical and hydrological processes","docAbstract":"Widespread deployment of sensors that measure river nitrate (NO3-) concentrations has led to many recent publications in water resources journals including review papers focused on data quality assurance, improved load calculations, and better nutrient management. The principal objective of this paper is to review and synthesize studies of high-frequency NO3- data that have aimed to improve understanding of the hydrologic and biogeochemical processes underlying episodic, diel, and long-term stream NO3- dynamics. Investigations have provided unprecedented detail on hysteresis and flushing patterns during high flow, seasonal variation during baseflow, and responses to multi-year climate variation. Analyses of high-frequency data have led to notable advances in understanding how climate variation affects spatial and temporal NO3- patterns, especially dry-wet cycles and antecedent moisture. Further advances have been limited by few investigations that include high-frequency measurements outside the channel and the short duration of many records. High-frequency data for multiple constituents have provided new insight to the relative roles of hydrology and biogeochemistry as highlighted by studies of the roles of autotrophic uptake, denitrification, riparian evapotranspiration, and temperature-driven changes in viscosity as drivers of diel patterns. Comparisons of short-duration high-frequency data with long-duration low frequency data have described similarities and differences in concentration – discharge patterns and highlighted the role of legacy stores. Investigators have applied innovative analysis approaches not previously possible with low-frequency or temporally-irregular data. Future availability of long-duration high-frequency data will provide new insight to processes, resulting in improved conceptual models and a deeper understanding of the role of climate variation.","language":"English","publisher":"Wiley","doi":"10.1002/wat2.1348","usgsCitation":"Burns, D., Pellerin, B., Miller, M.P., Capel, P., Tesoriero, A.J., and Duncan, J.M., 2019, Monitoring the Riverine Pulse: Applying high-frequency nitrate data to advance integrative understanding of biogeochemical and hydrological processes: WIREs Water, 24 p., https://doi.org/10.1002/wat2.1348.","productDescription":"24 p.","ipdsId":"IP-102881","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":467701,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wat2.1348","text":"Publisher Index Page"},{"id":364086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Burns, Douglas A. 0000-0001-6516-2869","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":202943,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":763123,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pellerin, Brian A. 0000-0003-3712-7884","orcid":"https://orcid.org/0000-0003-3712-7884","contributorId":204324,"corporation":false,"usgs":true,"family":"Pellerin","given":"Brian A.","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":763124,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Matthew P. 0000-0002-2537-1823 mamiller@usgs.gov","orcid":"https://orcid.org/0000-0002-2537-1823","contributorId":3919,"corporation":false,"usgs":true,"family":"Miller","given":"Matthew","email":"mamiller@usgs.gov","middleInitial":"P.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763125,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Capel, Paul 0000-0003-1020-5185 capel@usgs.gov","orcid":"https://orcid.org/0000-0003-1020-5185","contributorId":215743,"corporation":false,"usgs":true,"family":"Capel","given":"Paul","email":"capel@usgs.gov","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":763126,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tesoriero, Anthony J. 0000-0003-4674-7364 tesorier@usgs.gov","orcid":"https://orcid.org/0000-0003-4674-7364","contributorId":2693,"corporation":false,"usgs":true,"family":"Tesoriero","given":"Anthony","email":"tesorier@usgs.gov","middleInitial":"J.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":763127,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Duncan, Jonathan M.","contributorId":207569,"corporation":false,"usgs":false,"family":"Duncan","given":"Jonathan","email":"","middleInitial":"M.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":763128,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70203402,"text":"70203402 - 2019 - Peak ground displacement saturates exactly when expected: Implications for earthquake early warning","interactions":[],"lastModifiedDate":"2019-12-22T14:25:52","indexId":"70203402","displayToPublicDate":"2019-04-16T09:27:23","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2314,"text":"Journal of Geophysical Research B: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Peak ground displacement saturates exactly when expected: Implications for earthquake early warning","docAbstract":"The scaling of rupture properties with magnitude is of critical importance to earthquake early warning (EEW) systems that rely on source characterization using limited snapshots of waveform data. ShakeAlert, a prototype EEW system that is being developed for the western United States, provides real-time estimates of earthquake magnitude based on P-wave peak ground displacements measured at stations triggered by the event. The algorithms used in ShakeAlert assume that the displacement measurements at each station are statistically independent and that there exists a linear and time-independent relation between log peak ground displacement and earthquake magnitude. Here we challenge this basic assumption using a comprehensive database of more than 130,000 vertical component waveforms from M4.5-M9 earthquakes occurring near Japan from 1997 through 2017 and recorded by the K-NET and KiK-net strong-motion networks. By analyzing the time-evolution of P-wave peak ground displacements for these earthquakes, we show that there is a break, or saturation, in the magnitude-displacement scaling that depends on the length of the measurement time window. We demonstrate that the magnitude at which this saturation occurs is well-explained by a simple and non-deterministic model of earthquake rupture growth. We then use the predictions of this saturation model to develop a Bayesian framework for estimating posterior uncertainties in real-time magnitude estimates which incorporates the expected time-dependence of the peak displacement measurements.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018JB017093","usgsCitation":"Trugman, D.T., Page, M.T., Minson, S.E., and Cochran, E.S., 2019, Peak ground displacement saturates exactly when expected: Implications for earthquake early warning: Journal of Geophysical Research B: Solid Earth, v. 124, no. 5, p. 4642-4653, https://doi.org/10.1029/2018JB017093.","productDescription":"12 p.","startPage":"4642","endPage":"4653","ipdsId":"IP-103663","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":460405,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018jb017093","text":"Publisher Index Page"},{"id":363713,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Japan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 128.2763671875,\n 32.69486597787505\n ],\n [\n 130.3857421875,\n 29.57345707301757\n ],\n [\n 141.8115234375,\n 35.496456056584165\n ],\n [\n 142.734375,\n 41.50857729743935\n ],\n [\n 146.42578125,\n 43.26120612479979\n ],\n [\n 144.84375,\n 44.465151013519616\n ],\n [\n 141.6796875,\n 45.82879925192134\n ],\n [\n 140.9765625,\n 45.24395342262324\n ],\n [\n 138.9111328125,\n 41.934976500546604\n ],\n [\n 138.9111328125,\n 38.238180119798635\n ],\n [\n 130.166015625,\n 34.88593094075317\n ],\n [\n 128.2763671875,\n 32.69486597787505\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"124","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Trugman, Daniel T.","contributorId":197011,"corporation":false,"usgs":false,"family":"Trugman","given":"Daniel","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":762534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Page, Morgan T. 0000-0001-9321-2990 mpage@usgs.gov","orcid":"https://orcid.org/0000-0001-9321-2990","contributorId":3762,"corporation":false,"usgs":true,"family":"Page","given":"Morgan","email":"mpage@usgs.gov","middleInitial":"T.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":762533,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Minson, Sarah E. 0000-0001-5869-3477 sminson@usgs.gov","orcid":"https://orcid.org/0000-0001-5869-3477","contributorId":5357,"corporation":false,"usgs":true,"family":"Minson","given":"Sarah","email":"sminson@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":762535,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":762536,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70202231,"text":"ofr20191013 - 2019 - Monitoring storm tide and flooding from Hurricane Irma along the U.S. Virgin Islands, Puerto Rico, and the Southeastern United States, September 2017","interactions":[],"lastModifiedDate":"2019-07-26T10:14:44","indexId":"ofr20191013","displayToPublicDate":"2019-04-16T08:13:37","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1013","displayTitle":"Monitoring Storm Tide and Flooding From Hurricane Irma Along the U.S. Virgin Islands, Puerto Rico, and the Southeastern United States, September 2017","title":"Monitoring storm tide and flooding from Hurricane Irma along the U.S. Virgin Islands, Puerto Rico, and the Southeastern United States, September 2017","docAbstract":"

Hurricane Irma skirted the northern coasts of the U.S. Virgin Islands and Puerto Rico, with maximum sustained winds of 185 miles per hour (mi/h) on September 6, 2017. The hurricane first made landfall in Florida near Cudjoe Key, in the lower Florida Keys, with maximum sustained winds of 130 mi/h on September 10, 2017. The hurricane made a second Florida landfall on Marco Island, Florida, with maximum sustained winds of 115 mi/h on September 10, 2017. The U.S. Geological Survey (USGS), in cooperation with Federal Emergency Management Agency, deployed a temporary monitoring network of water-level and barometric pressure sensors at 249 locations along the Puerto Rico, Florida, Georgia, and South Carolina coasts to record the timing, areal extent, and magnitude of hurricane storm tide and coastal flooding generated by the hurricane. Immediately following the passage of Hurricane Irma, the sensors were retrieved, and the data were disseminated on the USGS Flood Event Viewer (https://stn.wim.usgs.gov/FEV/#IrmaSeptember2017). The storm-tide peak data values were verified by comparing data from hydrologic recorders and nearby high-water marks (HWMs). Following the hurricane, 508 independent HWM locations were flagged and surveyed relative to the North American Vertical Datum of 1988, National Geodetic Vertical Datum of 1929, or a local datum along the southeastern U.S. coast, and to Puerto Rico Vertical Datum of 2002 in Puerto Rico. Most HWMs were in Florida because of the path of the hurricane. The data from the Hurricane Irma storm-tide network are available on a provisional basis in tab-delimited, American Standard Code for Information Interchange (ASCII) format and Network Common Data Form (NetCDF) format by site for each sensor by using the USGS Flood Event Viewer.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191013","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency","usgsCitation":"Byrne, M.J., Sr., and Dickman, M.R., 2019, Monitoring storm tide and flooding from Hurricane Irma along the U.S. Virgin Islands, Puerto Rico, and the Southeastern United States, September 2017 (ver. 1.1, July 2019): U.S. Geological Survey Open-File Report 2019–1013, 35 p., https://doi.org/10.3133/ofr20191013.","productDescription":"vi, 35 p.","numberOfPages":"46","onlineOnly":"N","ipdsId":"IP-095711","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":365693,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1013/ofr20191013.pdf","text":"Report","size":"9.26 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019–1013"},{"id":365694,"rank":2,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2019/1013/versionHist.txt","text":"Version History","size":"1.00 kB","linkFileType":{"id":2,"text":"txt"},"description":"OFR 2019–1013 Version History"},{"id":365697,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1013/coverthb2.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico, U.S. Virgin Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -88.9892578125,\n 24.00632619875113\n ],\n [\n -79.4970703125,\n 24.00632619875113\n ],\n [\n -79.4970703125,\n 32.0639555946604\n ],\n [\n -88.9892578125,\n 32.0639555946604\n ],\n [\n -88.9892578125,\n 24.00632619875113\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -68.02734375,\n 16.04581345375217\n ],\n [\n -63.45703124999999,\n 16.04581345375217\n ],\n [\n -63.45703124999999,\n 20.96143961409684\n ],\n [\n -68.02734375,\n 20.96143961409684\n ],\n [\n -68.02734375,\n 16.04581345375217\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0: April 16, 2019; Version 1.1: July 25, 2019 ","contact":"

Director, Caribbean-Florida Water Science Center
U.S. Geological Survey
4446 Pet Lane, Suite 108
Lutz, FL 33559

","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2019-04-16","revisedDate":"2019-07-25","noUsgsAuthors":false,"publicationDate":"2019-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Byrne, Michael J. Sr. 0000-0001-9190-2728 mbyrne@usgs.gov","orcid":"https://orcid.org/0000-0001-9190-2728","contributorId":959,"corporation":false,"usgs":true,"family":"Byrne","given":"Michael","suffix":"Sr.","email":"mbyrne@usgs.gov","middleInitial":"J.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true},{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true},{"id":5051,"text":"FLWSC-Orlando","active":true,"usgs":true}],"preferred":false,"id":761014,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dickman, Mark R. 0000-0002-5826-4311","orcid":"https://orcid.org/0000-0002-5826-4311","contributorId":213277,"corporation":false,"usgs":true,"family":"Dickman","given":"Mark","email":"","middleInitial":"R.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":761015,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70203135,"text":"70203135 - 2019 - Modelling development of riparian ranchlands using ecosystem services at the Aravaipa Watershed, SE Arizona","interactions":[],"lastModifiedDate":"2019-04-24T08:26:17","indexId":"70203135","displayToPublicDate":"2019-04-16T08:12:12","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2596,"text":"Land","active":true,"publicationSubtype":{"id":10}},"title":"Modelling development of riparian ranchlands using ecosystem services at the Aravaipa Watershed, SE Arizona","docAbstract":"This paper describes how subdivision and development of rangelands within a remote and celebrated semiarid watershed near the US-Mexico border might affect multiple ecohydrological services provided, such as recharge of the aquifer, water and sediment yield, water quality, flow rates and downstream cultural and natural resources. Specifically, we apply an uncalibrated watershed model and land-change forecasting scenario to consider the potential effects of converting rangelands to housing developments and document potential changes in hydrological ecosystem services. A new method to incorporate weather data in watershed modelling is introduced. Results of introducing residential development in this fragile arid environment portray changes in the water budget, including increases in surface-water runoff, water yield, and total sediment loading. Our findings also predict slight reductions in lateral soil water, a component of the water budget that is increasingly becoming recognized as critical to maintaining water availability in arid regions. We discuss how the proposed development on shrub/scrub rangelands could threaten to sever imperative ecohydrological interactions and impact multiple ecosystem services. This research highlights rangeland management issues important for the protection of open-space, economic valuation of rangeland ecosystem services, conservation easements, and incentives to develop markets for these.","language":"English","publisher":"MDPI","doi":"10.3390/land8040064","usgsCitation":"Norman, L., Villarreal, M.L., Niraula, R., Haberstich, M., and Wilson, N., 2019, Modelling development of riparian ranchlands using ecosystem services at the Aravaipa Watershed, SE Arizona: Land, v. 8, no. 4, 21 p., https://doi.org/10.3390/land8040064.","productDescription":"21 p.","ipdsId":"IP-104937","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":467702,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/land8040064","text":"Publisher Index Page"},{"id":363164,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -111.25,31 ], [ -111.25,33 ], [ -109,33 ], [ -109,31 ], [ -111.25,31 ] ] ] } } ] }","volume":"8","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Norman, Laura","contributorId":214979,"corporation":false,"usgs":true,"family":"Norman","given":"Laura","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":761348,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":761349,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Niraula, Rewati","contributorId":100714,"corporation":false,"usgs":false,"family":"Niraula","given":"Rewati","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":761350,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haberstich, Mark","contributorId":214981,"corporation":false,"usgs":false,"family":"Haberstich","given":"Mark","email":"","affiliations":[{"id":39150,"text":"The Nature Conservancy, Aravaipa Canyon Preserve, Willcox, AZ 85643","active":true,"usgs":false}],"preferred":false,"id":761351,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilson, Natalie R. 0000-0001-5145-1221 nrwilson@usgs.gov","orcid":"https://orcid.org/0000-0001-5145-1221","contributorId":214982,"corporation":false,"usgs":true,"family":"Wilson","given":"Natalie","email":"nrwilson@usgs.gov","middleInitial":"R.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":761352,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70204537,"text":"70204537 - 2019 - Detecting signals of large‐scale climate phenomena in discharge and nutrient loads in the Mississippi‐Atchafalaya River Basin","interactions":[],"lastModifiedDate":"2019-08-15T09:17:26","indexId":"70204537","displayToPublicDate":"2019-04-16T07:24:31","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Detecting signals of large‐scale climate phenomena in discharge and nutrient loads in the Mississippi‐Atchafalaya River Basin","docAbstract":"

Agricultural runoff from the Mississippi‐Atchafalaya River Basin delivers nitrogen (N) and phosphorus (P) to the Gulf of Mexico, causing hypoxia, and climate drives interannual variation in nutrient loads. Climate phenomena such as El Niño–Southern Oscillation may influence nutrient export through effects on river flow, nutrient uptake, or biogeochemical transformation, but landscape variation at smaller spatial scales can mask climate signals in load or discharge time series within large river networks. We used multivariate autoregressive state‐space modeling to investigate climate signals in the long‐term record (1979–2014) of discharge, N, P, and SiO2 loads at three nested spatial scales within the Mississippi‐Atchafalaya River Basin. We detected significant signals of El Niño–Southern Oscillation and land‐surface temperature anomalies in N loads but not discharge, SiO2, or P, suggesting that large‐scale climate phenomena contribute to interannual variation in nutrient loads through biogeochemical mechanisms beyond simple discharge‐load relationships.

","language":"English","publisher":"Wiley","doi":"10.1029/2018GL081166","usgsCitation":"Smits, A.P., Ruffing, C.M., Royer, T.V., Appling, A.P., Griffiths, N.A., Bellmore, R., Scheuerell, M., Harms, T., and Jones, J.B., 2019, Detecting signals of large‐scale climate phenomena in discharge and nutrient loads in the Mississippi‐Atchafalaya River Basin: Geophysical Research Letters, v. 46, no. 7, p. 3791-3801, https://doi.org/10.1029/2018GL081166.","productDescription":"11 p.","startPage":"3791","endPage":"3801","ipdsId":"IP-093030","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":467703,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018gl081166","text":"Publisher Index Page"},{"id":366096,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Mississippi‐Atchafalaya River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.801513671875,\n 28.8831596093235\n ],\n [\n -88.48388671874999,\n 28.8831596093235\n ],\n [\n -88.48388671874999,\n 33.394759218577995\n ],\n [\n -92.801513671875,\n 33.394759218577995\n ],\n [\n -92.801513671875,\n 28.8831596093235\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"46","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Smits, Adrianne P 0000-0001-9967-5419","orcid":"https://orcid.org/0000-0001-9967-5419","contributorId":217759,"corporation":false,"usgs":false,"family":"Smits","given":"Adrianne","email":"","middleInitial":"P","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":767453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruffing, Claire M","contributorId":217760,"corporation":false,"usgs":false,"family":"Ruffing","given":"Claire","email":"","middleInitial":"M","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":767454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Royer, Todd V","contributorId":217761,"corporation":false,"usgs":false,"family":"Royer","given":"Todd","email":"","middleInitial":"V","affiliations":[{"id":37145,"text":"Indiana University","active":true,"usgs":false}],"preferred":false,"id":767455,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Appling, Alison P. 0000-0003-3638-8572 aappling@usgs.gov","orcid":"https://orcid.org/0000-0003-3638-8572","contributorId":150595,"corporation":false,"usgs":true,"family":"Appling","given":"Alison","email":"aappling@usgs.gov","middleInitial":"P.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":767452,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Griffiths, Natalie A. 0000-0003-0068-7714","orcid":"https://orcid.org/0000-0003-0068-7714","contributorId":211188,"corporation":false,"usgs":false,"family":"Griffiths","given":"Natalie","email":"","middleInitial":"A.","affiliations":[{"id":37070,"text":"Oak Ridge National Laboratory","active":true,"usgs":false}],"preferred":false,"id":767456,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bellmore, Rebecca","contributorId":217762,"corporation":false,"usgs":false,"family":"Bellmore","given":"Rebecca","affiliations":[{"id":39693,"text":"Southeast Alaska Watershed Coalition","active":true,"usgs":false}],"preferred":false,"id":767457,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Scheuerell, Mark D","contributorId":217763,"corporation":false,"usgs":false,"family":"Scheuerell","given":"Mark D","affiliations":[{"id":38436,"text":"National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":767458,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Harms, Tamara K","contributorId":217764,"corporation":false,"usgs":false,"family":"Harms","given":"Tamara K","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":767459,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jones, Jack B.","contributorId":65788,"corporation":false,"usgs":true,"family":"Jones","given":"Jack","middleInitial":"B.","affiliations":[],"preferred":false,"id":767460,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70203166,"text":"70203166 - 2019 - Spatiotemporal patterns of cheatgrass invasion in Colorado Plateau National Parks","interactions":[],"lastModifiedDate":"2019-04-25T06:19:41","indexId":"70203166","displayToPublicDate":"2019-04-16T06:08:04","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Spatiotemporal patterns of cheatgrass invasion in Colorado Plateau National Parks","docAbstract":"

Exotic annual grasses are transforming native arid and semi-arid ecosystems globally by accelerating fire cycles that drive vegetation state changes. Cheatgrass (Bromus tectorum), a particularly widespread and aggressive exotic annual grass, is a key management target in national parks of the western United States due to its impacts on wildfire and biodiversity loss. Cheatgrass is known for its high interannual variability and can grow in a wide range of conditions.

","language":"English","publisher":"Springer","doi":"10.1007/s10980-019-00817-8","usgsCitation":"Bishop, T., Munson, S.M., Gill, R., Belnap, J., St. Clair, S.B., and Petersen, S.L., 2019, Spatiotemporal patterns of cheatgrass invasion in Colorado Plateau National Parks: Landscape Ecology, p. 1-17, https://doi.org/10.1007/s10980-019-00817-8.","productDescription":"17 p.","startPage":"1","endPage":"17","ipdsId":"IP-102403","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":363220,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Colorado Plateau","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -113.2965087890625,\n 37.17344871200958\n ],\n [\n -108.48999023437499,\n 37.17344871200958\n ],\n [\n -108.48999023437499,\n 40.63479884404164\n ],\n [\n -113.2965087890625,\n 40.63479884404164\n ],\n [\n -113.2965087890625,\n 37.17344871200958\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Bishop, Tara B.B.","contributorId":215034,"corporation":false,"usgs":false,"family":"Bishop","given":"Tara B.B.","affiliations":[{"id":39160,"text":"Department of Plant and Wildlife Sciences, Brigham Young University, Provo, UT USA","active":true,"usgs":false}],"preferred":false,"id":761476,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":761477,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gill, Richard 0000-0001-8981-0621","orcid":"https://orcid.org/0000-0001-8981-0621","contributorId":196799,"corporation":false,"usgs":false,"family":"Gill","given":"Richard","email":"","affiliations":[{"id":6681,"text":"Brigham Young University","active":true,"usgs":false}],"preferred":false,"id":761478,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":761479,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"St. Clair, Samuel B.","contributorId":215035,"corporation":false,"usgs":false,"family":"St. Clair","given":"Samuel","email":"","middleInitial":"B.","affiliations":[{"id":39160,"text":"Department of Plant and Wildlife Sciences, Brigham Young University, Provo, UT USA","active":true,"usgs":false}],"preferred":false,"id":761480,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Petersen, Steven L.","contributorId":214312,"corporation":false,"usgs":false,"family":"Petersen","given":"Steven","email":"","middleInitial":"L.","affiliations":[{"id":39008,"text":"Plant and Wildlife Sciences Dept., Brigham Young University","active":true,"usgs":false}],"preferred":false,"id":761481,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70203502,"text":"70203502 - 2019 - The effects of geography, habitat, and humans on the ecology and demography of the Gopher tortoise (Gopherus polyphemus) in the southern Lake Wales Ridge region of Florida","interactions":[],"lastModifiedDate":"2019-05-17T16:28:11","indexId":"70203502","displayToPublicDate":"2019-04-15T16:21:55","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1895,"text":"Herpetological Journal","active":true,"publicationSubtype":{"id":10}},"title":"The effects of geography, habitat, and humans on the ecology and demography of the Gopher tortoise (Gopherus polyphemus) in the southern Lake Wales Ridge region of Florida","docAbstract":"A 35-year (1967–2002) demographic study was conducted on the gopher tortoise (Gopherus polyphemus) from two different habitats on Archbold Biological Station located on the southern end of the Lake Wales Ridge in south-central Florida. We found geographic, habitat, and human-mediated effects on several aspects of its biology. Our findings underscore the necessity of long-term demographic data to more accurately answer ecological questions concerning long-lived species, such as how the gopher tortoise detectably might be affected by habitat quality and human activities.","language":"English","publisher":"British Herpetological Society","doi":"10.33256/hj29.2.95114","usgsCitation":"Meshaka, W.E., Layne, J.N., and Rice, K.G., 2019, The effects of geography, habitat, and humans on the ecology and demography of the Gopher tortoise (Gopherus polyphemus) in the southern Lake Wales Ridge region of Florida: Herpetological Journal, v. 29, no. 2, p. 95-114, https://doi.org/10.33256/hj29.2.95114.","productDescription":"20 p.","startPage":"95","endPage":"114","ipdsId":"IP-075233","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":363992,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Archbold Biological Station","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.38354301452635,\n 27.180134127356315\n ],\n [\n -81.32869720458984,\n 27.180134127356315\n ],\n [\n -81.32869720458984,\n 27.220975405319635\n ],\n [\n -81.38354301452635,\n 27.220975405319635\n ],\n [\n -81.38354301452635,\n 27.180134127356315\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"29","issue":"2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Meshaka, Walter E.","contributorId":215660,"corporation":false,"usgs":false,"family":"Meshaka","given":"Walter","email":"","middleInitial":"E.","affiliations":[{"id":39300,"text":"Section of Zoology and Botany, State Museum of Pennsylvania","active":true,"usgs":false}],"preferred":false,"id":762910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Layne, James N.","contributorId":215661,"corporation":false,"usgs":false,"family":"Layne","given":"James","email":"","middleInitial":"N.","affiliations":[{"id":39301,"text":"109 Cloverleaf By Pass, Lake Placid, FL 33852","active":true,"usgs":false}],"preferred":false,"id":762911,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rice, Kenneth G. 0000-0001-8282-1088 krice@usgs.gov","orcid":"https://orcid.org/0000-0001-8282-1088","contributorId":117,"corporation":false,"usgs":true,"family":"Rice","given":"Kenneth","email":"krice@usgs.gov","middleInitial":"G.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":762909,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70202750,"text":"fs20193010 - 2019 - Assessment of Mesozoic tight-oil and tight-gas resources in the Sichuan Basin of China, 2018","interactions":[],"lastModifiedDate":"2019-04-16T13:16:35","indexId":"fs20193010","displayToPublicDate":"2019-04-15T15:42:10","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-3010","displayTitle":"Assessment of Mesozoic Tight-Oil and Tight-Gas Resources in the Sichuan Basin of China, 2018","title":"Assessment of Mesozoic tight-oil and tight-gas resources in the Sichuan Basin of China, 2018","docAbstract":"

Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 1.2 billion barrels of tight oil and 29.1 trillion cubic feet of tight gas in Mesozoic formations in the Sichuan Basin of China.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193010","usgsCitation":"Potter, C.J., Schenk, C.J., Mercier, T.J., Tennyson, M.E., Finn, T.M., Woodall, C.A., Leathers-Miller, H.M., Marra, K.R., Le, P.A., Drake, R.M., II, Brownfield, M.E., and Pitman, J.K., 2019, Assessment of Mesozoic tight-oil and tight-gas resources in the Sichuan Basin of China, 2018: U.S. Geological Survey Fact Sheet 2019–3010, 2 p., https://doi.org/10.3133/fs20193010. ","productDescription":"2 p.","numberOfPages":"2","onlineOnly":"N","ipdsId":"IP-102499","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":362861,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3010/coverthb.jpg"},{"id":362862,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3010/fs20193010.pdf","text":"Report","size":"527 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019–3010"}],"country":"China","otherGeospatial":"Sichuan basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 103.304443359375,\n 29.075375179558346\n ],\n [\n 107.193603515625,\n 29.075375179558346\n ],\n [\n 107.215576171875,\n 32.40779154205701\n ],\n [\n 103.73291015625,\n 32.35212281198644\n ],\n [\n 103.304443359375,\n 29.075375179558346\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS–939
Denver, CO 80225–0046

","tableOfContents":"","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2019-04-15","noUsgsAuthors":false,"publicationDate":"2019-04-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Potter, Christopher J. 0000-0002-2300-6670 cpotter@usgs.gov","orcid":"https://orcid.org/0000-0002-2300-6670","contributorId":1026,"corporation":false,"usgs":true,"family":"Potter","given":"Christopher","email":"cpotter@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":759796,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":759797,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mercier, Tracey J. 0000-0002-8232-525X tmercier@usgs.gov","orcid":"https://orcid.org/0000-0002-8232-525X","contributorId":2847,"corporation":false,"usgs":true,"family":"Mercier","given":"Tracey","email":"tmercier@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":759798,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tennyson, Marilyn E. 0000-0002-5166-2421","orcid":"https://orcid.org/0000-0002-5166-2421","contributorId":208414,"corporation":false,"usgs":true,"family":"Tennyson","given":"Marilyn E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":759799,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Finn, Thomas M. 0000-0001-6396-9351 finn@usgs.gov","orcid":"https://orcid.org/0000-0001-6396-9351","contributorId":778,"corporation":false,"usgs":true,"family":"Finn","given":"Thomas","email":"finn@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":759800,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Woodall, Cheryl A. 0000-0002-4844-5768 cwoodall@usgs.gov","orcid":"https://orcid.org/0000-0002-4844-5768","contributorId":194924,"corporation":false,"usgs":true,"family":"Woodall","given":"Cheryl","email":"cwoodall@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":759801,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Leathers-Miller, Heidi M. 0000-0001-5208-9906 hleathers@usgs.gov","orcid":"https://orcid.org/0000-0001-5208-9906","contributorId":150419,"corporation":false,"usgs":true,"family":"Leathers-Miller","given":"Heidi","email":"hleathers@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":759802,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Marra, Kristen R. 0000-0001-8027-5255 kmarra@usgs.gov","orcid":"https://orcid.org/0000-0001-8027-5255","contributorId":4844,"corporation":false,"usgs":true,"family":"Marra","given":"Kristen","email":"kmarra@usgs.gov","middleInitial":"R.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":759803,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Le, Phuong A. 0000-0003-2477-509X ple@usgs.gov","orcid":"https://orcid.org/0000-0003-2477-509X","contributorId":150418,"corporation":false,"usgs":true,"family":"Le","given":"Phuong","email":"ple@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":759804,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Drake, Ronald M. II 0000-0002-1770-4667","orcid":"https://orcid.org/0000-0002-1770-4667","contributorId":206291,"corporation":false,"usgs":true,"family":"Drake","given":"Ronald M.","suffix":"II","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":759805,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Brownfield, Michael E. 0000-0003-3633-1138 mbrownfield@usgs.gov","orcid":"https://orcid.org/0000-0003-3633-1138","contributorId":1548,"corporation":false,"usgs":true,"family":"Brownfield","given":"Michael","email":"mbrownfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":759806,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Pitman, Janet K. 0000-0002-0441-779X jpitman@usgs.gov","orcid":"https://orcid.org/0000-0002-0441-779X","contributorId":767,"corporation":false,"usgs":true,"family":"Pitman","given":"Janet","email":"jpitman@usgs.gov","middleInitial":"K.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":759807,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70203081,"text":"70203081 - 2019 - Morphology and molecular data reveal invasion of cryptic golden tegus Tupinambis cryptus Murphy et al., 2016) in Florida","interactions":[],"lastModifiedDate":"2019-08-15T12:00:17","indexId":"70203081","displayToPublicDate":"2019-04-15T15:39:20","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":994,"text":"BioInvasions Records","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Morphology and molecular data reveal invasion of cryptic golden tegus (Tupinambis cryptus Murphy et al., 2016) in Florida","title":"Morphology and molecular data reveal invasion of cryptic golden tegus Tupinambis cryptus Murphy et al., 2016) in Florida","docAbstract":"

Golden Tegus (Tupinambis teguixin sensu lato) are native to South America and have established a reproducing population in Miami-Dade County, Florida. Recent work divided the Golden Tegu into four separate species, leaving the specific identity of Golden Tegus in Florida unknown. We used morphometric and mitochondrial data to determine the species identity and likely area of geographic origin for a specimen of Golden Tegu collected in Miami-Dade County, Florida. Our results indicate Cryptic Golden Tegus (Tupinambis cryptus) are the species established in Florida. Geographic origin is likely mainland Guyana or Venezuela.

","language":"English","doi":"10.3391/bir.2019.8.2.30","usgsCitation":"Pyron, R.A., Reed, R., Colston, T.J., and Rochford, M.R., 2019, Morphology and molecular data reveal invasion of cryptic golden tegus Tupinambis cryptus Murphy et al., 2016) in Florida: BioInvasions Records, v. 8, no. 2, p. 465-470, https://doi.org/10.3391/bir.2019.8.2.30.","productDescription":"6 p.","startPage":"465","endPage":"470","ipdsId":"IP-103042","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":467704,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/bir.2019.8.2.30","text":"Publisher Index Page"},{"id":363052,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":363051,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.reabic.net/journals/bir/2019/Accepted.aspx"}],"country":"United States","state":"Florida","county":"Miami-Dade County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.782470703125,\n 25.22978942503438\n ],\n [\n -80.09033203125,\n 25.22978942503438\n ],\n [\n -80.09033203125,\n 26.10118797369925\n ],\n [\n -80.782470703125,\n 26.10118797369925\n ],\n [\n -80.782470703125,\n 25.22978942503438\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pyron, R. Alexander","contributorId":214888,"corporation":false,"usgs":false,"family":"Pyron","given":"R.","email":"","middleInitial":"Alexander","affiliations":[{"id":34680,"text":"George Washington University","active":true,"usgs":false}],"preferred":false,"id":761085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, Robert 0000-0001-8349-6168 reedr@usgs.gov","orcid":"https://orcid.org/0000-0001-8349-6168","contributorId":214887,"corporation":false,"usgs":true,"family":"Reed","given":"Robert","email":"reedr@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":761084,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Colston, Timothy J.","contributorId":214889,"corporation":false,"usgs":false,"family":"Colston","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":34680,"text":"George Washington University","active":true,"usgs":false}],"preferred":false,"id":761086,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rochford, Michael R.","contributorId":200644,"corporation":false,"usgs":false,"family":"Rochford","given":"Michael","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":761087,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70204945,"text":"70204945 - 2019 - The circumtropical swarm population of the longspined porcupinefish (Diodon holocanthus Linnaeus)","interactions":[],"lastModifiedDate":"2019-08-26T10:24:00","indexId":"70204945","displayToPublicDate":"2019-04-15T10:23:50","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5854,"text":"Aqua","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The circumtropical swarm population of the longspined porcupinefish (Diodon holocanthus Linnaeus)","title":"The circumtropical swarm population of the longspined porcupinefish (Diodon holocanthus Linnaeus)","docAbstract":"

Evidence is presented that Diodon holocanthus is a circumtropical swarm (not a hybrid swarm because the individuals are not hybrids). Some individuals are so different
from one another in both color and morphology that they appear to be different species. Thirty undersea and aquarium photographs from different global localities are provided to demonstrate the variability. The worldwide distribution is achieved by the juvenile that has been found more than 1,000 km offshore as large as 90 mm SL. How can it feed on zooplankton with jaws and dentition designed to crush shelled invertebrates? We believe it draws the prey into the mouth with the same mechanism that it uses to expand its body when threatened; the water with prey is diverted to the pharyngeal cavity, then released from the gill opening on each side. Larger juveniles may seek concentrations of zooplankton for feeding, perhaps collectively. A confirming experiment in an aquarium is advised. Aggregations of pelagic juveniles have been observed at the surface outside barrier reefs and found inshore the following morning, indicating that settlement took place at night to minimize predation. The juveniles soon disperse to inshore habitats of mangrove and sea grass to coral reef. The hybrid Diodon holocanthusx D. hystrix from South Africa is illustrated. The narrative for the present research on D. holocanthus is presented chronologically to show how increasing evidence failed to support the multitude of apparent new species of Diodon, leading to the conclusion of a swarm.

","language":"English","publisher":"Aquapress","usgsCitation":"Randall, J.E., Rogers, C., and Ogden, J.C., 2019, The circumtropical swarm population of the longspined porcupinefish (Diodon holocanthus Linnaeus): Aqua, v. 25, no. 2, p. 53-80.","productDescription":"18 p.","startPage":"53","endPage":"80","ipdsId":"IP-107516","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":366899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":366878,"type":{"id":15,"text":"Index Page"},"url":"https://aqua-aquapress.com/the-circumtropical-swarm-population-of-the-longspined-porcupinefish-diodon-holocanthus-linnaeus/"}],"volume":"25","issue":"2","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Randall, John E","contributorId":218417,"corporation":false,"usgs":false,"family":"Randall","given":"John","email":"","middleInitial":"E","affiliations":[{"id":39842,"text":"Bishop Museum, Honolulu, Hawaii","active":true,"usgs":false}],"preferred":false,"id":769206,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rogers, Caroline 0000-0001-9056-6961","orcid":"https://orcid.org/0000-0001-9056-6961","contributorId":218416,"corporation":false,"usgs":true,"family":"Rogers","given":"Caroline","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":769205,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ogden, John C","contributorId":218418,"corporation":false,"usgs":false,"family":"Ogden","given":"John","email":"","middleInitial":"C","affiliations":[{"id":39843,"text":"Emeritus Professor, University of South Florida","active":true,"usgs":false}],"preferred":false,"id":769207,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70203041,"text":"70203041 - 2019 - Alaska Shorebird Conservation Plan, Version III","interactions":[],"lastModifiedDate":"2019-04-16T09:51:42","indexId":"70203041","displayToPublicDate":"2019-04-15T09:50:37","publicationYear":"2019","noYear":false,"publicationType":{"id":4,"text":"Book"},"title":"Alaska Shorebird Conservation Plan, Version III","docAbstract":"In recognition of declines among perhaps half of Alaska’s breeding shorebirds, ongoing or emerging threats to shorebirds and their habitats, and considerable knowledge of Alaska’s shorebirds acquired over the past decade, the Alaska Shorebird Group decided that the Alaska Shorebird Conservation Plan was due for updates. Similar to Version II (2008), we structured the plan in two parts: Part I identifies Alaska’s nearly 30 priority species, their conservation threats, and strategies / objectives to improve statewide conservation, and Part II considers these three elements for Alaska’s five Bird Conservation Regions (as well as many specific actions). In addition to special recognition paid to species of greatest and high conservation concern, we included “Stewardship” species, defined as those species for which Alaska supports at least half of a population during its annual cycle. Climate change and severe weather, pollution, and energy- and mining-related activities ranked highest among conservation concerns in Alaska. Supplementing our tools for implementing conservation (research, inventory/monitoring, habitat management/protection, education/outreach, international collaboration), we introduced an evaluation of conservation progress to increase accountability. Based on considerable advances in tracking technologies largely unavailable prior to Version II, this plan stresses conservation approaches that recognize species’ full annual cycles. annual cycles.","language":"English","publisher":"Alaska Shorebird Group","usgsCitation":"Ruthrauff, D.R., 2019, Alaska Shorebird Conservation Plan, Version III (3), vii, 138 p.","productDescription":"vii, 138 p.","numberOfPages":"149","ipdsId":"IP-102997","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":362977,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":362935,"type":{"id":15,"text":"Index Page"},"url":"https://www.fws.gov/alaska/mbsp/mbm/shorebirds/plans.htm"}],"country":"United 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USA","interactions":[],"lastModifiedDate":"2020-10-18T14:51:02.935853","indexId":"70215400","displayToPublicDate":"2019-04-15T09:47:34","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"The Kulanaokuaiki-3 tephra, 900 CE: Products of a remarkably energetic pyroclastic eruption at Kīlauea Volcano, Hawaiʻi, USA","docAbstract":"

Eruptions of Kīlauea Volcano, Hawaiʻi, USA, can be more powerful than previously recognized. The Kulanaokuaiki-3 (K-3) eruption, ca. 900 CE, consisted of two episodes that dispersed lithic wall-rock clasts (Episode 1) and dominantly scoria (Episode 2; VEI-3) across >65 km2 southeast of the summit. Dense 12 cm blocks of Episode 1 fell 8–10 km from the summit vent, and 2–4 cm lithic lapilli reached the coastline, 17 km from the vent. The Episode 2 deposit is chemically zoned, indicating orderly eruption from a layered magma body analogous to the 1959 Kīlauea Iki lava lake. Olivine-hosted melt inclusions suggest a magma body within 1 km of the surface. Some Episode 1 lithic clasts have magmatic rinds chemically similar to the early Episode 2 scoria, suggesting a genetic link, although each had a distinct eruption mechanism. Southeastward tephra dispersal counter to NE trade winds implies dispersal by jet-stream winds. The dispersal of lithic clasts in Episode 1 cannot be explained by ballistic trajectories or by transport in a buoyant plume. Calculations instead indicate that a jet from a vent with a minimum diameter of 50 m, a velocity of at least 300 m/s, and a duration of ∼60 s could have lifted the lithic clasts into the jet stream. Isopach and isopleth maps for Episode 2 indicate a subplinian column height of 14–18 km and a duration of 2–3 h, assuming constant flux. The Episode 1 conduit probably intersected or otherwise lowered pressure within a compositionally zoned magma body, triggering eruption of the Episode 2 scoria.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/B35063.1","usgsCitation":"Fiske, R.A., Rose, T., Swanson, D., Andrews, B.J., and Nichols, A.R., 2019, The Kulanaokuaiki-3 tephra, 900 CE: Products of a remarkably energetic pyroclastic eruption at Kīlauea Volcano, Hawaiʻi, USA: Geological Society of America Bulletin, v. 131, no. 9-10, p. 1537-1554, https://doi.org/10.1130/B35063.1.","productDescription":"18 p.","startPage":"1537","endPage":"1554","ipdsId":"IP-098969","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":379498,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.30479431152344,\n 19.385647795879144\n ],\n [\n -155.225830078125,\n 19.385647795879144\n ],\n [\n -155.225830078125,\n 19.447816716936455\n ],\n [\n -155.30479431152344,\n 19.447816716936455\n ],\n [\n -155.30479431152344,\n 19.385647795879144\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"131","issue":"9-10","noUsgsAuthors":false,"publicationDate":"2019-04-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Fiske, Richard A.","contributorId":243317,"corporation":false,"usgs":false,"family":"Fiske","given":"Richard","email":"","middleInitial":"A.","affiliations":[{"id":36606,"text":"Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":802027,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rose, Timothy R.","contributorId":243318,"corporation":false,"usgs":false,"family":"Rose","given":"Timothy R.","affiliations":[{"id":36606,"text":"Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":802028,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swanson, Donald A. 0000-0002-1680-3591","orcid":"https://orcid.org/0000-0002-1680-3591","contributorId":229682,"corporation":false,"usgs":true,"family":"Swanson","given":"Donald A.","affiliations":[],"preferred":true,"id":802029,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Andrews, Benjamin J.","contributorId":243319,"corporation":false,"usgs":false,"family":"Andrews","given":"Benjamin","email":"","middleInitial":"J.","affiliations":[{"id":36606,"text":"Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":802030,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nichols, Alexamder R. L.","contributorId":243320,"corporation":false,"usgs":false,"family":"Nichols","given":"Alexamder","email":"","middleInitial":"R. L.","affiliations":[{"id":37172,"text":"University of Canterbury","active":true,"usgs":false}],"preferred":false,"id":802031,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70203207,"text":"70203207 - 2019 - Risk factors and productivity losses associated with Mycoplasma ovipneumoniae infection in United States domestic sheep operations","interactions":[],"lastModifiedDate":"2019-06-18T11:50:11","indexId":"70203207","displayToPublicDate":"2019-04-15T08:31:29","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3117,"text":"Preventive Veterinary Medicine","active":true,"publicationSubtype":{"id":10}},"title":"Risk factors and productivity losses associated with Mycoplasma ovipneumoniae infection in United States domestic sheep operations","docAbstract":"Association of Mycoplasma ovipneumoniae with pneumonia in domestic small ruminants has been described in Europe, Asia, and New Zealand but has received less attention in the United States. In 2011, the US Department of Agriculture’s National Animal Health Monitoring Survey detected M. ovipneumoniae shedding in 88% of 453 domestic sheep operations tested in 22 states that accounted for 85.5% of US ewe inventory in 2001. We evaluated factors associated with M. ovipneumoniae infection presence and prevalence, and we compared health, lamb production, and ewe losses in in-fected and uninfected operations. M. ovipneumoniae detection was more common in larger opera-tions than in smaller operations. Both likelihood of detection (at the operation level) and within-operation prevalence were higher in operations with more open management practices than in oper-ations with more closed management practices. M. ovipneumoniae-positive operations showed sig-nificantly lower lambing rates and lower rates of lamb survival to weaning after accounting for dif-ferences in operation size and management practice. While its effect on any single rate was not par-ticularly large, in aggregate we estimated that M. ovipneumoniae presence was associated with an approximately 4.3% reduction in annual lamb production.","language":"English","publisher":"Elsevier","doi":"10.1016/j.prevetmed.2019.04.006","usgsCitation":"Manlove, K.R., Branan, M., Baker, K., Bradway, D., Cassirer, E.F., Marshall, K., Miller, R.S., Sweeney, S.J., Cross, P.C., and Besser, T.E., 2019, Risk factors and productivity losses associated with Mycoplasma ovipneumoniae infection in United States domestic sheep operations: Preventive Veterinary Medicine, no. 168, p. 30-38, https://doi.org/10.1016/j.prevetmed.2019.04.006.","productDescription":"9 p.","startPage":"30","endPage":"38","ipdsId":"IP-092805","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":363283,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","issue":"168","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Manlove, Kezia R.","contributorId":198305,"corporation":false,"usgs":false,"family":"Manlove","given":"Kezia","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":761644,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Branan, M","contributorId":215105,"corporation":false,"usgs":false,"family":"Branan","given":"M","email":"","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":761645,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baker, K","contributorId":215108,"corporation":false,"usgs":false,"family":"Baker","given":"K","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":761649,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradway, D","contributorId":215107,"corporation":false,"usgs":false,"family":"Bradway","given":"D","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":761648,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cassirer, E. F.","contributorId":215106,"corporation":false,"usgs":false,"family":"Cassirer","given":"E.","email":"","middleInitial":"F.","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":761647,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Marshall, K.L","contributorId":215109,"corporation":false,"usgs":false,"family":"Marshall","given":"K.L","email":"","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":761651,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Miller, Ryan S.","contributorId":49005,"corporation":false,"usgs":false,"family":"Miller","given":"Ryan","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":761646,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sweeney, Steven J.","contributorId":195672,"corporation":false,"usgs":false,"family":"Sweeney","given":"Steven","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":761650,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cross, Paul C. 0000-0001-8045-5213 pcross@usgs.gov","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":2709,"corporation":false,"usgs":true,"family":"Cross","given":"Paul","email":"pcross@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":761643,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Besser, T. E. 0000-0003-0449-1989","orcid":"https://orcid.org/0000-0003-0449-1989","contributorId":215110,"corporation":false,"usgs":false,"family":"Besser","given":"T.","email":"","middleInitial":"E.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":761652,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70203055,"text":"70203055 - 2019 - Three-dimensional partitioning of resources by congeneric forest predators with recent sympatry","interactions":[],"lastModifiedDate":"2019-04-16T10:18:15","indexId":"70203055","displayToPublicDate":"2019-04-15T08:13:37","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Three-dimensional partitioning of resources by congeneric forest predators with recent sympatry","docAbstract":"Coexistence of ecologically similar species can be maintained by partitioning along one or more niche axes. Three-dimensional structural complexity is central to facilitating resource partitioning between many forest species, but is underrepresented in field-based studies. We examined resource selection by sympatric northern spotted owls (Strix occidentalis caurina), a threatened species under the US Endangered Species Act, and nonnative barred owls (S. varia) in western Oregon, USA to explore the relative importance of canopy heterogeneity, vertical complexity of forest, and abiotic features to resource selection and identify potential differences that may facilitate long-term coexistence. We predicted that within home range selection of understory densities, measured with airborne lidar, would differ between species based on proportional differences in arboreal and terrestrial prey taken by each owl species. We used discrete choice models and telemetry data from 41 spotted owls and 38 barred owls monitored during 2007–2009 and 2012–2015. Our results suggested that while both species used tall canopy areas more often than low canopy areas, spotted owls were more commonly found in areas with lower tree cover, more developed understory, and steeper slopes. This is the first evidence of\nfine-scale partitioning based on structural forest properties by northern spotted owls and barred owls.","language":"English","publisher":"Nature","doi":"10.1038/s41598-019-42426-0","usgsCitation":"Jenkins, J.M., Lesmeister, D.B., Wiens, D., Kane, J.T., Kane, V.R., and Verschuyl, J.V., 2019, Three-dimensional partitioning of resources by congeneric forest predators with recent sympatry: Scientific Reports, v. 9, p. 1-10, https://doi.org/10.1038/s41598-019-42426-0.","productDescription":"Article 6036; 10 p.","startPage":"1","endPage":"10","ipdsId":"IP-099120","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":467705,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-019-42426-0","text":"Publisher Index Page"},{"id":362969,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.21142578125,\n 43.265206318396025\n ],\n [\n -123.42041015624999,\n 43.265206318396025\n ],\n [\n -123.42041015624999,\n 43.872158236415416\n ],\n [\n -124.21142578125,\n 43.872158236415416\n ],\n [\n -124.21142578125,\n 43.265206318396025\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2019-04-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Jenkins, Julianna M","contributorId":214850,"corporation":false,"usgs":false,"family":"Jenkins","given":"Julianna","email":"","middleInitial":"M","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":760965,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lesmeister, Damon B. 0000-0003-1102-0122","orcid":"https://orcid.org/0000-0003-1102-0122","contributorId":205006,"corporation":false,"usgs":false,"family":"Lesmeister","given":"Damon","email":"","middleInitial":"B.","affiliations":[{"id":37019,"text":"USDA Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":760966,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wiens, David 0000-0002-2020-038X jwiens@usgs.gov","orcid":"https://orcid.org/0000-0002-2020-038X","contributorId":167538,"corporation":false,"usgs":true,"family":"Wiens","given":"David","email":"jwiens@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":760964,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kane, Jonathan T","contributorId":214851,"corporation":false,"usgs":false,"family":"Kane","given":"Jonathan","email":"","middleInitial":"T","affiliations":[{"id":39124,"text":"University of Washington, School of Environmental and Forest Sciences","active":true,"usgs":false}],"preferred":false,"id":760967,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kane, Van R.","contributorId":194879,"corporation":false,"usgs":false,"family":"Kane","given":"Van","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":760968,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Verschuyl, Jake V","contributorId":207280,"corporation":false,"usgs":false,"family":"Verschuyl","given":"Jake","email":"","middleInitial":"V","affiliations":[],"preferred":false,"id":760969,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70203741,"text":"70203741 - 2019 - Eastern Carpenter Bee (Hymenoptera: Apidae): Nest structure, nest cell provisions, and trap nest acceptance in Rhode Island","interactions":[],"lastModifiedDate":"2019-06-07T14:56:31","indexId":"70203741","displayToPublicDate":"2019-04-13T14:40:47","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1536,"text":"Environmental Entomology","active":true,"publicationSubtype":{"id":10}},"title":"Eastern Carpenter Bee (Hymenoptera: Apidae): Nest structure, nest cell provisions, and trap nest acceptance in Rhode Island","docAbstract":"

Analysis of pollen provisions in Xylocopa virginica (L.) nests in southern Rhode Island showed that this species produced pollen loaves from 21 different genera of plants in 2016, 19 in 2017, and 39 in 2018. Antirrhinium majus L. (garden snapdragon) pollen was the most common type collected in all three years (21.4%). Overall, wind-pollinated tree pollen comprised 22.1% of all pollen loaves. Blueberry pollen was a minor component of pollen loaves (0.1%), despite abundant blueberry plants nearby. Mean values of X. virginica nest measurements (tunnel length 15.4 ± 1.2 cm, width 15.0 ± 0.5 mm, and cell length 17.7 ± 0.3 mm) were similar to those reported in previous studies. Only 2 of the 216 trap nests deployed in 2017 were occupied by 11 X. virginica bees (9 females and 2 males). However, 17 nests contained 230 Osmia taurus Smith, 6 nests contained 73 O. cornifrons (Radoszkowski), and 1 nest contained 8 O. lignaria Say. Thirty-four nests (15.7%) were occupied by 151 grass-carrying wasps, Isodontia sp. and 6 vespid wasps occupied three nests (1.4%) in 2017. In 2018, 4 of 96 trap nests were occupied by carpenter bees. Understanding the nesting and foraging habits of X. virginica will help us to manage natural populations for pollination services.

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