Determining the distribution pattern of a species is important to increase scientific knowledge, inform management decisions, and conserve biodiversity. To infer spatial and temporal patterns, species distribution models have been developed for use with many sampling designs and types of data. Recently, it has been shown that count, presence-absence, and presence-only data can be conceptualized as arising from a point process distribution. Therefore, it is important to understand properties of the point process distribution. We examine how the hierarchical species distribution modeling framework has been used to incorporate a wide array of regression and theory-based components while accounting for the data collection process and making use of auxiliary information. The hierarchical modeling framework allows us to demonstrate how several commonly used species distribution models can be derived from the point process distribution, highlight areas of potential overlap between different models, and suggest areas where further research is needed.
","language":"English","publisher":"Springer","doi":"10.1007/s40823-016-0008-7","usgsCitation":"Hefley, T.J., and Hooten, M., 2016, Hierarchical species distribution models: Current Landscape Ecology Reports, v. 1, no. 2, p. 87-97, https://doi.org/10.1007/s40823-016-0008-7.","productDescription":"11 p.","startPage":"87","endPage":"97","ipdsId":"IP-071733","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470930,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s40823-016-0008-7","text":"Publisher Index Page"},{"id":348570,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-09","publicationStatus":"PW","scienceBaseUri":"5a06c8d3e4b09af898c8615c","contributors":{"authors":[{"text":"Hefley, Trevor J.","contributorId":147146,"corporation":false,"usgs":false,"family":"Hefley","given":"Trevor","email":"","middleInitial":"J.","affiliations":[{"id":16796,"text":"Dept Fish, Wildlife & Cons Biol, Colorado St Univ, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":721571,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":716563,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70143385,"text":"70143385 - 2016 - Natural thorium resources and recovery: Options and impacts","interactions":[],"lastModifiedDate":"2016-06-22T16:14:05","indexId":"70143385","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2910,"text":"Nuclear Technology","active":true,"publicationSubtype":{"id":10}},"title":"Natural thorium resources and recovery: Options and impacts","docAbstract":"This paper reviews the front end of the thorium fuel cycle, including the extent and variety of thorium deposits, the potential sources of thorium production, and the physical and chemical technologies required to isolate and purify thorium. Thorium is frequently found within rare earth element–bearing minerals that exist in diverse types of mineral deposits, often in conjunction with other minerals mined for their commercial value. It may be possible to recover substantial quantities of thorium as a by-product from active titanium, uranium, tin, iron, and rare earth mines. Incremental physical and chemical processing is required to obtain a purified thorium product from thorium minerals, but documented experience with these processes is extensive, and incorporating thorium recovery should not be overly challenging. The anticipated environmental impacts of by-product thorium recovery are small relative to those of uranium recovery since existing mining infrastructure utilization avoids the opening and operation of new mines and thorium recovery removes radionuclides from the mining tailings.
","language":"English","publisher":"American Nuclear Society","doi":"10.13182/NT15-83","usgsCitation":"Ault, T., Van Gosen, B.S., Krahn, S., and Croff, A., 2016, Natural thorium resources and recovery: Options and impacts: Nuclear Technology, v. 194, no. 2, p. 136-151, https://doi.org/10.13182/NT15-83.","productDescription":"16 p.","startPage":"136","endPage":"151","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-063647","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":324276,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"194","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-27","publicationStatus":"PW","scienceBaseUri":"576bb6b8e4b07657d1a22913","contributors":{"authors":[{"text":"Ault, Timothy","contributorId":139726,"corporation":false,"usgs":false,"family":"Ault","given":"Timothy","email":"","affiliations":[{"id":12893,"text":"Vanderbilt University School of Engineering","active":true,"usgs":false}],"preferred":false,"id":542685,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Gosen, Bradley S. 0000-0003-4214-3811 bvangose@usgs.gov","orcid":"https://orcid.org/0000-0003-4214-3811","contributorId":1174,"corporation":false,"usgs":true,"family":"Van Gosen","given":"Bradley","email":"bvangose@usgs.gov","middleInitial":"S.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":542684,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Krahn, Steven","contributorId":139727,"corporation":false,"usgs":false,"family":"Krahn","given":"Steven","email":"","affiliations":[{"id":12893,"text":"Vanderbilt University School of Engineering","active":true,"usgs":false}],"preferred":false,"id":542686,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Croff, Allen","contributorId":139728,"corporation":false,"usgs":false,"family":"Croff","given":"Allen","email":"","affiliations":[{"id":12893,"text":"Vanderbilt University School of Engineering","active":true,"usgs":false}],"preferred":false,"id":542687,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70170842,"text":"70170842 - 2016 - MODIS derived vegetation index for drought detection on the San Carlos Apache Reservation","interactions":[],"lastModifiedDate":"2016-06-20T10:40:41","indexId":"70170842","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5064,"text":"International Journal of Advanced Remote Sensing and GIS","active":true,"publicationSubtype":{"id":10}},"title":"MODIS derived vegetation index for drought detection on the San Carlos Apache Reservation","docAbstract":"A variety of vegetation indices derived from remotely sensed data have been used to assess vegetation conditions, enabling the identification of drought occurrences as well as the evaluation of drought impacts. Moderate Resolution Imaging Spectroradiometer (MODIS) Terra 8-day composite data were used to compute the Modified Soil Adjusted Vegetation Index II (MSAVI2) of four dominant vegetation types over a 13-year period (2002 – 2014) on the San Carlos Apache Reservation in Arizona, US. MSAVI2 anomalies were used to identify adverse impacts of drought on vegetation, characterized as mean MSAVI2 below the 13-year average. In terms of interannual variability, we found similar responses between grassland and shrubland, and between woodland and forest vegetation types. We compared MSAVI2 for specific vegetation types with precipitation data at the same time step, and found a lag time of roughly two months for the peak MSAVI2 values following precipitation in a given year. All vegetation types responded to summer monsoon rainfall, while shrubland and annual herbaceous vegetation also displayed a brief spring growing season following winter snowmelt. MSAVI2 values of shrublands corresponded well with precipitation variability both for summer rainfall and winter snowfall, and can be potentially used as a drought indicator on the San Carlos Apache Reservation given its wide geographic distribution. We demonstrated that moderate temporal frequency satellite-based MSAVI2 can provide drought monitoring to inform land management decisions, especially on vegetated tribal land areas where in situ precipitation data are limited.
\n\n
The origin of Dimmuborgir, a shield-like volcanic structure within the Younger Laxá lava flow field near Lake Mývatn, in northern Iceland, has long been questioned. New airborne laser mapping (light detection and ranging (LiDAR)), combined with ground-penetrating radar results and a detailed field study, suggests that Dimmuborgir is a complex of at least two overlapping rootless shields fed by lava erupting from the nearby Lúdentarborgir crater row. This model builds upon previous explanations for the formation of Dimmuborgir and is consistent with observations of rootless shield development at Kīlauea Volcano, Hawaii. The larger rootless shields at Dimmuborgir, 1–1.5 km in diameter, elliptical in plan view, ∼30 m in height, and each with a 500-m-wide summit depression, were capable of storing as much as 2–3 × 106 m3 of lava. They were fed by lava which descended 30–60 m in lava tubes along a distance of 3 km from the crater row. The height difference generated pressure sufficient to build rootless shields at Dimmuborgir in a timescale of weeks. The main summit depressions, inferred to be drained lava ponds, could have emptied via a 30-m-wide × 5-m-deep channel, with estimated effusion rates of 0.7–7 m3 s−1 and minimum flow durations of 5–50 days. We argue that the pillars for which Dimmuborgir is famed are remnants of lava pond rims, at various stages of disintegration that formed during pond drainage.
","language":"English","publisher":"Springer","doi":"10.1007/s00445-016-1032-5","usgsCitation":"Skelton, A., Sturkell, E., Jakobsson, M., Einarsson, D., Tollefsen, E., and Orr, T.R., 2016, Dimmuborgir: a rootless shield complex in northern Iceland: Bulletin of Volcanology, v. 78, no. 40, 14 p., https://doi.org/10.1007/s00445-016-1032-5.","productDescription":"14 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068350","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":324646,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"78","issue":"40","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-27","publicationStatus":"PW","scienceBaseUri":"5774e330e4b07dd077c5fc06","contributors":{"authors":[{"text":"Skelton, Alasdair","contributorId":147511,"corporation":false,"usgs":false,"family":"Skelton","given":"Alasdair","email":"","affiliations":[],"preferred":false,"id":628445,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sturkell, Erik","contributorId":169104,"corporation":false,"usgs":false,"family":"Sturkell","given":"Erik","email":"","affiliations":[{"id":25420,"text":"Department of Earth Sciences, Gothenburg University, Sweden","active":true,"usgs":false}],"preferred":false,"id":628446,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jakobsson, Martin","contributorId":166854,"corporation":false,"usgs":false,"family":"Jakobsson","given":"Martin","email":"","affiliations":[{"id":24562,"text":"Stockholm University","active":true,"usgs":false}],"preferred":false,"id":628447,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Einarsson, Draupnir","contributorId":169105,"corporation":false,"usgs":false,"family":"Einarsson","given":"Draupnir","email":"","affiliations":[{"id":25421,"text":"Department of Geological Sciences, Stockholm University, Sweden","active":true,"usgs":false}],"preferred":false,"id":628448,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tollefsen, Elin","contributorId":169106,"corporation":false,"usgs":false,"family":"Tollefsen","given":"Elin","email":"","affiliations":[{"id":25421,"text":"Department of Geological Sciences, Stockholm University, Sweden","active":true,"usgs":false}],"preferred":false,"id":628449,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Orr, Tim R. 0000-0003-1157-7588 torr@usgs.gov","orcid":"https://orcid.org/0000-0003-1157-7588","contributorId":149803,"corporation":false,"usgs":true,"family":"Orr","given":"Tim","email":"torr@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":628444,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70193682,"text":"70193682 - 2016 - Mink predation on brown trout in a Black Hills stream","interactions":[],"lastModifiedDate":"2017-11-13T11:55:16","indexId":"70193682","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3580,"text":"The Prairie Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Mink predation on brown trout in a Black Hills stream","docAbstract":"In the early 2000’s, declines in the brown trout (Salmo trutta) fishery in Rapid Creek, South Dakota, caused concern for anglers and fisheries managers. We conducted a radio telemetry study in 2010 and 2011 to identify predation mortality associated with mink, using hatchery-reared (2010) or wild (2011) brown trout. Estimated predation rates by mink (Mustela vison) on radio-tagged brown trout were 30% for hatchery fish and 32% for wild fish. Size frequency analysis revealed that the size distribution of brown trout lost to predation was similar to that of other, radio-tagged brown trout. In both years, a higher proportion of predation mortality (83–92%) occurred during spring, consistent with seasonal fish consumption by mink. Predation by mink appeared to be a significant source of brown trout mortality in our study.
","language":"English","publisher":"The Prairie Naturalist","usgsCitation":"Davis, J.L., Wilhite, J.W., and Chipps, S.R., 2016, Mink predation on brown trout in a Black Hills stream: The Prairie Naturalist, v. 48, no. 1, p. 4-10.","productDescription":"7 p.","startPage":"4","endPage":"10","ipdsId":"IP-066784","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":348690,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Dakota","otherGeospatial":"Rapid Creek","volume":"48","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fd3ce4b06e28e9c248f1","contributors":{"authors":[{"text":"Davis, Jacob L.","contributorId":171929,"corporation":false,"usgs":false,"family":"Davis","given":"Jacob","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":721801,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wilhite, Jerry W.","contributorId":171897,"corporation":false,"usgs":false,"family":"Wilhite","given":"Jerry","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":721802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":719881,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70173746,"text":"70173746 - 2016 - Tools for automated acoustic monitoring within the R package monitoR","interactions":[],"lastModifiedDate":"2016-06-20T11:15:58","indexId":"70173746","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5084,"text":"Bioacoustics: The International Journal of Animal Sound and its Recording","active":true,"publicationSubtype":{"id":10}},"title":"Tools for automated acoustic monitoring within the R package monitoR","docAbstract":"The R package monitoR contains tools for managing an acoustic-monitoring program including survey metadata, template creation and manipulation, automated detection and results management. These tools are scalable for use with small projects as well as larger long-term projects and those with expansive spatial extents. Here, we describe typical workflow when using the tools in monitoR. Typical workflow utilizes a generic sequence of functions, with the option for either binary point matching or spectrogram cross-correlation detectors.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/09524622.2016.1138415","usgsCitation":"Katz, J., Hafner, S.D., and Donovan, T., 2016, Tools for automated acoustic monitoring within the R package monitoR: Bioacoustics: The International Journal of Animal Sound and its Recording, v. 25, no. 2, p. 197-210, https://doi.org/10.1080/09524622.2016.1138415.","productDescription":"14 p.","startPage":"197","endPage":"210","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068686","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":323983,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-05","publicationStatus":"PW","scienceBaseUri":"576913eee4b07657d19ff2bb","contributors":{"authors":[{"text":"Katz, Jonathan","contributorId":8370,"corporation":false,"usgs":true,"family":"Katz","given":"Jonathan","affiliations":[],"preferred":false,"id":638248,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hafner, Sasha D.","contributorId":171668,"corporation":false,"usgs":false,"family":"Hafner","given":"Sasha","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":638249,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Donovan, Therese tdonovan@usgs.gov","contributorId":171599,"corporation":false,"usgs":true,"family":"Donovan","given":"Therese","email":"tdonovan@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":638058,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70173597,"text":"70173597 - 2016 - Patch occupancy of stream fauna across a land cover gradient in the southern Appalachians, USA","interactions":[],"lastModifiedDate":"2019-12-30T09:16:08","indexId":"70173597","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1919,"text":"Hydrobiologia","onlineIssn":"1573-5117","printIssn":"0018-8158","active":true,"publicationSubtype":{"id":10}},"title":"Patch occupancy of stream fauna across a land cover gradient in the southern Appalachians, USA","docAbstract":"We modeled patch occupancy to examine factors that best predicted the prevalence of four functionally important focal stream consumers (Tallaperla spp., Cambarus spp.,Pleurocera proxima, and Cottus bairdi) among 37 reaches within the Little Tennessee River basin of the southern Appalachian Mountains, USA. We compared 34 models of patch occupancy to examine the association of catchment and reach scale factors that varied as a result of converting forest to agricultural or urban land use. Occupancy of our taxa was linked to parameters reflecting both catchment and reach extent characteristics. At the catchment level, forest cover or its conversion to agriculture was a major determinant of occupancy for all four taxa. Patch occupancies of Tallaperla, Cambarus, and C. bairdi were positively, and Pleurocera negatively, correlated with forest cover. Secondarily at the reach level, local availability of large woody debris was important forCambarus, availability of large cobble substrate was important for C. bairdi, and stream calcium concentration was important for P. proxima. Our results show the abundance of stream organisms was determined by the taxon-dependent interplay between catchment- and reach-level factors.
","language":"English","publisher":"Springer","doi":"10.1007/s10750-016-2695-9","usgsCitation":"Frisch, J.R., Peterson, J., Cecala, K.K., Maerz, J.C., Jackson, C.R., Gragson, T.L., and Pringle, C., 2016, Patch occupancy of stream fauna across a land cover gradient in the southern Appalachians, USA: Hydrobiologia, v. 773, no. 1, p. 163-175, https://doi.org/10.1007/s10750-016-2695-9.","productDescription":"13 p.","startPage":"163","endPage":"175","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-054927","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323494,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia, North Carolina","otherGeospatial":"Little Tenneessee River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.7295532227,\n 34.867904962568716\n ],\n [\n -83.7295532227,\n 35.36665566526249\n ],\n [\n -83.323059082,\n 35.36665566526249\n ],\n [\n -83.323059082,\n 34.867904962568716\n ],\n [\n -83.7295532227,\n 34.867904962568716\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"773","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-22","publicationStatus":"PW","scienceBaseUri":"575fd92fe4b04f417c2baa4e","contributors":{"authors":[{"text":"Frisch, John R.","contributorId":171761,"corporation":false,"usgs":false,"family":"Frisch","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":638557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":637385,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cecala, Kristen K.","contributorId":171762,"corporation":false,"usgs":false,"family":"Cecala","given":"Kristen","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":638558,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maerz, John C.","contributorId":171763,"corporation":false,"usgs":false,"family":"Maerz","given":"John","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":638559,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jackson, C. Rhett","contributorId":119155,"corporation":false,"usgs":false,"family":"Jackson","given":"C.","email":"","middleInitial":"Rhett","affiliations":[{"id":13267,"text":"Warnell School of Forestry and Natural Resources, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":638560,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gragson, Ted L.","contributorId":171764,"corporation":false,"usgs":false,"family":"Gragson","given":"Ted","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":638561,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pringle, Catherine M.","contributorId":104380,"corporation":false,"usgs":true,"family":"Pringle","given":"Catherine M.","affiliations":[],"preferred":false,"id":638562,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70171102,"text":"ofr9550 - 2016 - Geologic map of the Morena Reservoir 7.5-minute quadrangle, San Diego County, California","interactions":[],"lastModifiedDate":"2022-04-19T18:31:00.348529","indexId":"ofr9550","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","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":"95-50","title":"Geologic map of the Morena Reservoir 7.5-minute quadrangle, San Diego County, California","docAbstract":"Mapping in the Morena Reservoir 7.5-minute quadrangle began in 1980, when the Hauser Wilderness Area, which straddles the Morena Reservoir and Barrett Lake quadrangles, was mapped for the U.S. Forest Service. Mapping was completed in 1993–1994. The Morena Reservoir quadrangle contains part of a regional-scale Late Jurassic(?) to Early Cretaceous tectonic suture that coincides with the western limit of Jurassic metagranites in this part of the Peninsular Ranges batholith (PRB). This suture, and a nearly coincident map unit consisting of metamorphosed Cretaceous and Jurassic back-arc basinal volcanic and sedimentary rocks (unit KJvs), mark the boundary between western, predominantly metavolcanic rocks, and eastern, mainly metasedimentary, rocks. The suture is intruded and truncated by the western margin of middle to Late Cretaceous Granite Mountain and La Posta plutons of the eastern zone of the batholith.
","publisher":"U. S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr9550","usgsCitation":"Todd, V.R., 2016, Geologic map of the Morena Reservoir 7.5-minute quadrangle, San Diego County, California: U.S. Geological Survey Open-File Report 95–50, 12 p., scale 1:24,000, https://dx.doi.org/10.3133/ofr9550.","productDescription":"Pamphlet: iii, 12 p.; 1 Plate: 32.74 x 30.79 inches; Metadata; Read Me; Spatial Data","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":399099,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_104275.htm"},{"id":321428,"rank":6,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/1995/0050/ofr95-50_MorenaRes_metadata.txt","text":"Morena Reservoir metadata","linkFileType":{"id":2,"text":"txt"},"description":"OFR 95-50 Metadata TXT"},{"id":321427,"rank":5,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/of/1995/0050/ofr95-50_MorenaRes_metadata.htm","text":"Morena Reservoir metadata","linkFileType":{"id":5,"text":"html"},"description":"OFR 95-50 Metadata HTML"},{"id":321426,"rank":4,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/of/1995/0050/ofr95-50_MorenaRes_README.txt","text":"Morena Reservoir read me","linkFileType":{"id":2,"text":"txt"},"description":"OFR 95-50 Read Me"},{"id":321425,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/1995/0050/ofr95-50_MorenaRes_pamphlet.pdf","text":"Pamphlet","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 95-50 Pamphlet"},{"id":321424,"rank":2,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/1995/0050/ofr95-50_MorenaRes_plate.pdf","text":"Morena Reservoir plate","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 95-50 Plate"},{"id":321429,"rank":7,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/of/1995/0050/ofr95-50_DATABASE.zip","text":"Morena Reservoir database","linkFileType":{"id":6,"text":"zip"},"description":"OFR 95-50 Database"},{"id":321423,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/1995/0050/coverthb2.jpg"}],"country":"United States","state":"California","county":"San Diego County","otherGeospatial":"Morena Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.625,\n 32.625\n ],\n [\n -116.5,\n 32.625\n ],\n [\n -116.5,\n 32.75\n ],\n [\n -116.625,\n 32.75\n ],\n [\n -116.625,\n 32.625\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Contact Information, Geology, Minerals, Energy, & Geophysics Science Center—Tucson
U.S. Geological Survey
520 North Park Avenue
Tucson, AZ 85719
http://geomaps.wr.usgs.gov/
Stratigraphic, sedimentologic (including CT 3D X-ray tomography scans), foraminiferal, and radiocarbon analyses show that at least six of seven abrupt peat-to-mud contacts in cores from a tidal marsh at Talbot Creek (South Slough, Coos Bay), record sudden subsidence (relative sea-level rise) during great megathrust earthquakes at the Cascadia subduction zone. Data for one contact are insufficient to infer whether or not it records a great earthquake—it may also have formed through local, non-seismic, hydrographic processes. To estimate the amount of subsidence marked by each contact, we expanded a previous regional modern foraminiferal dataset to 174 samples from six Oregon estuaries. Using a transfer function derived from the new dataset, estimates of coseismic subsidence across the six earthquake contacts vary from 0.31 m to 0.75 m. Comparison of subsidence estimates for three contacts in adjacent cores shows within-site differences of ≤0.10 m, about half the ±0.22 m error, although some estimates may be minimums due to uncertain ecological preferences for Balticammina pseudomacrescens in brackish environments and almost monospecific assemblages of Miliammina fusca on tidal flats. We also account for the influence of taphonomic processes, such as infiltration of mud with mixed foraminiferal assemblages into peat, on subsidence estimates. Comparisons of our subsidence estimates with values for correlative contacts at other Oregon sites suggest that some of our estimates are minimums and that Cascadia's megathrust earthquake ruptures have been heterogeneous over the past 3500 years.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2016.04.017","usgsCitation":"Milker, Y., Nelson, A.R., Horton, B.P., Engelhart, S.E., Bradley, L., and Witter, R., 2016, Differences in coastal subsidence in southern Oregon (USA) during at least six prehistoric megathrust earthquakes: Quaternary Science Reviews, v. 142, p. 143-163, https://doi.org/10.1016/j.quascirev.2016.04.017.","productDescription":"21 p.","startPage":"143","endPage":"163","ipdsId":"IP-074549","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":470945,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://durham-repository.worktribe.com/output/1320593","text":"Publisher Index Page"},{"id":342829,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","volume":"142","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"594e28b6e4b062508e3abe2c","contributors":{"authors":[{"text":"Milker, Yvonne","contributorId":193405,"corporation":false,"usgs":false,"family":"Milker","given":"Yvonne","email":"","affiliations":[],"preferred":false,"id":700368,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, Alan R. 0000-0001-7117-7098 anelson@usgs.gov","orcid":"https://orcid.org/0000-0001-7117-7098","contributorId":812,"corporation":false,"usgs":true,"family":"Nelson","given":"Alan","email":"anelson@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":700369,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horton, Benjamin P.","contributorId":192807,"corporation":false,"usgs":false,"family":"Horton","given":"Benjamin","email":"","middleInitial":"P.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false},{"id":5110,"text":"Earth Observatory of Singapore, Nanyang Technological University","active":true,"usgs":false}],"preferred":false,"id":700370,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Engelhart, Simon E.","contributorId":60104,"corporation":false,"usgs":false,"family":"Engelhart","given":"Simon","email":"","middleInitial":"E.","affiliations":[{"id":6923,"text":"University of Rhode Island, Kingston, RI","active":true,"usgs":false}],"preferred":false,"id":700371,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradley, Lee-Ann","contributorId":193406,"corporation":false,"usgs":false,"family":"Bradley","given":"Lee-Ann","affiliations":[],"preferred":false,"id":700372,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Witter, Robert C. 0000-0002-1721-254X rwitter@usgs.gov","orcid":"https://orcid.org/0000-0002-1721-254X","contributorId":4528,"corporation":false,"usgs":true,"family":"Witter","given":"Robert C.","email":"rwitter@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":700373,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70187243,"text":"70187243 - 2016 - Mixed stock analysis of Lake Michigan's Lake Whitefish Coregonus clupeaformis commercial fishery","interactions":[],"lastModifiedDate":"2017-04-28T13:36:52","indexId":"70187243","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Mixed stock analysis of Lake Michigan's Lake Whitefish Coregonus clupeaformis commercial fishery","docAbstract":"Lake whitefish (Coregonus clupeaformis) support the primary commercial fishery in Lake Michigan. Discrete genetic stocks of lake whitefish have been identified and tagging data suggest stocks are mixed throughout much of the year. Our objectives were to determine if (1) differential stock harvest occurs in the commercial catch, (2) spatial differences in genetic composition of harvested fish were present, and (3) seasonal differences were present in the harvest by commercial fisheries that operate in management zones WI-2 and WFM-01 (Green Bay, Lake Michigan). Mixed stock analysis was conducted on 17 commercial harvest samples (n = 78–145/sample) collected from various ports lake-wide during 2009–2010. Results showed significant mixing with variability in stock composition across most samples. Samples consisted of two to four genetic stocks each accounting for ≥ 10% the catch. In 10 of 17 samples, the stock contributing the largest proportion made up < 60% of the harvest. In general, seasonal and annual differences existed in the proportional stock contribution at a single capture location. Samples from Wisconsin's primary commercial fishing management zone (WI-2) were composed predominately of fish from the Big Bay de Noc (Michigan) stock as opposed to the geographically proximate, North–Moonlight Bay (Wisconsin) stock. These findings have implications for management and allocation of fish to various quotas. Specifically, geographic location of harvest, the current means of allocating harvest quotas, is not the best predictor of genetic stock harvest.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2016.02.005","usgsCitation":"Andvik, R., Sloss, B.L., VanDeHey, J.A., Claramunt, R.M., Hansen, S.P., and Isermann, D.A., 2016, Mixed stock analysis of Lake Michigan's Lake Whitefish Coregonus clupeaformis commercial fishery: Journal of Great Lakes Research, v. 42, no. 3, p. 660-667, https://doi.org/10.1016/j.jglr.2016.02.005.","productDescription":"8 p.","startPage":"660","endPage":"667","ipdsId":"IP-063843","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":470926,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://digital.library.wisc.edu/1793/81656","text":"External Repository"},{"id":340625,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.70458984375,\n 45.79050946752472\n ],\n [\n -84.957275390625,\n 46.01222384063236\n ],\n [\n -85.4296875,\n 46.14178273759234\n ],\n [\n -86.98974609375,\n 45.94351068030587\n ],\n [\n -88.077392578125,\n 44.5826428195842\n ],\n [\n -87.725830078125,\n 44.071800467511565\n ],\n [\n -87.9345703125,\n 43.33316939281732\n ],\n [\n -87.857666015625,\n 42.97250158602597\n ],\n [\n -87.8466796875,\n 42.27730877423709\n ],\n [\n -87.56103515625,\n 41.713930073371294\n ],\n [\n -87.154541015625,\n 41.599013054830216\n ],\n [\n -86.59423828125,\n 41.97582726102573\n ],\n [\n -86.17675781249999,\n 42.633958722673135\n ],\n [\n -86.33056640625,\n 43.30119623257966\n ],\n [\n -86.19873046875,\n 44.59829048984011\n ],\n [\n -85.418701171875,\n 44.75453548416007\n ],\n [\n -84.92431640625,\n 45.390735154248894\n ],\n [\n -84.70458984375,\n 45.79050946752472\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"3","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"590454a5e4b022cee40dc242","contributors":{"authors":[{"text":"Andvik, Ryan","contributorId":191461,"corporation":false,"usgs":false,"family":"Andvik","given":"Ryan","email":"","affiliations":[],"preferred":false,"id":693097,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sloss, Brian L. bsloss@usgs.gov","contributorId":702,"corporation":false,"usgs":true,"family":"Sloss","given":"Brian","email":"bsloss@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":693098,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"VanDeHey, Justin A.","contributorId":50800,"corporation":false,"usgs":true,"family":"VanDeHey","given":"Justin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":693099,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Claramunt, Randall M.","contributorId":190497,"corporation":false,"usgs":false,"family":"Claramunt","given":"Randall","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":693100,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hansen, Scott P.","contributorId":79837,"corporation":false,"usgs":true,"family":"Hansen","given":"Scott","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":693101,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":693096,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70178795,"text":"70178795 - 2016 - Scientifically defensible fish conservation and recovery plans: Addressing diffuse threats and developing rigorous adaptive management plans","interactions":[],"lastModifiedDate":"2018-02-28T14:35:20","indexId":"70178795","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Scientifically defensible fish conservation and recovery plans: Addressing diffuse threats and developing rigorous adaptive management plans","docAbstract":"We discuss the importance of addressing diffuse threats to long-term species and habitat viability in fish conservation and recovery planning. In the Pacific Northwest, USA, salmonid management plans have typically focused on degraded freshwater habitat, dams, fish passage, harvest rates, and hatchery releases. However, such plans inadequately address threats related to human population and economic growth, intra- and interspecific competition, and changes in climate, ocean, and estuarine conditions. Based on reviews conducted on eight conservation and/or recovery plans, we found that though threats resulting from such changes are difficult to model and/or predict, they are especially important for wide-ranging diadromous species. Adaptive management is also a critical but often inadequately constructed component of those plans. Adaptive management should be designed to respond to evolving knowledge about the fish and their supporting ecosystems; if done properly, it should help improve conservation efforts by decreasing uncertainty regarding known and diffuse threats. We conclude with a general call for environmental managers and planners to reinvigorate the adaptive management process in future management plans, including more explicitly identifying critical uncertainties, implementing monitoring programs to reduce those uncertainties, and explicitly stating what management actions will occur when pre-identified trigger points are reached.
","language":"English","publisher":"American Fisheries Society","doi":"10.1080/03632415.2016.1175346","usgsCitation":"Maas-Hebner, K.G., Schreck, C.B., Hughes, R.M., Yeakley, A., and Molina, N., 2016, Scientifically defensible fish conservation and recovery plans: Addressing diffuse threats and developing rigorous adaptive management plans: Fisheries, v. 41, no. 6, p. 276-285, https://doi.org/10.1080/03632415.2016.1175346.","productDescription":"10 p.","startPage":"276","endPage":"285","ipdsId":"IP-066130","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470944,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.13016/m2kd1qn14","text":"External Repository"},{"id":331653,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"6","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-01","publicationStatus":"PW","scienceBaseUri":"58492df3e4b06d80b7b093aa","contributors":{"authors":[{"text":"Maas-Hebner, Kathleen G.","contributorId":177262,"corporation":false,"usgs":false,"family":"Maas-Hebner","given":"Kathleen","email":"","middleInitial":"G.","affiliations":[{"id":13016,"text":"Department of Fisheries and Wildlife, Oregon State University","active":true,"usgs":false}],"preferred":false,"id":655161,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schreck, Carl B. 0000-0001-8347-1139 carl.schreck@usgs.gov","orcid":"https://orcid.org/0000-0001-8347-1139","contributorId":878,"corporation":false,"usgs":true,"family":"Schreck","given":"Carl","email":"carl.schreck@usgs.gov","middleInitial":"B.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":655145,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hughes, Robert M.","contributorId":113579,"corporation":false,"usgs":true,"family":"Hughes","given":"Robert","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":655162,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yeakley, Alan","contributorId":96569,"corporation":false,"usgs":true,"family":"Yeakley","given":"Alan","email":"","affiliations":[],"preferred":false,"id":655163,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Molina, Nancy","contributorId":177263,"corporation":false,"usgs":false,"family":"Molina","given":"Nancy","email":"","affiliations":[],"preferred":false,"id":655164,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70178112,"text":"70178112 - 2016 - Making it and breaking it in the Midwest: Continental assembly and rifting from modeling of EarthScope magnetotelluric data","interactions":[],"lastModifiedDate":"2018-07-09T12:14:08","indexId":"70178112","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3112,"text":"Precambrian Research","active":true,"publicationSubtype":{"id":10}},"title":"Making it and breaking it in the Midwest: Continental assembly and rifting from modeling of EarthScope magnetotelluric data","docAbstract":"A three-dimensional lithospheric-scale resistivity model of the North American mid-continent has been estimated based upon EarthScope magnetotelluric data. Details of the resistivity model are discussed in relation to lithospheric sutures, defined primarily from aeromagnetic and geochronologic data, which record the southward growth of the Laurentian margin in the Proterozoic. The resistivity signature of the 1.1 Ga Mid-continent Rift System is examined in detail, in particular as relates to rift geometry, extent, and segmentation. An unrecognized expanse of (concealed) Proterozoic deltaic deposits in Kansas is identified and speculated to result from axial drainage along the southwest rift arm akin to the Rio Grande delta which drains multiple rift basins. A prominent conductor traces out Cambrian rifting in Arkansas, Missouri, Tennessee, and Kentucky; this linear conductor has not been imaged before and suggests that the Cambrian rift system may have been more extensive than previously thought. The highest conductivity within the mid-continent is imaged in Minnesota, Michigan, and Wisconsin where it is coincident with Paleoproterozoic metasedimentary rocks. The high conductivity is attributed to metallic sulfides, and in some cases, graphite. The former is a potential source of sulfur for multiple mineral deposits types, occurrences of which are found throughout the region. Finally, the imprint left within the mantle following the 1.1 Ga rifting event is examined. Variations in lithospheric mantle conductivity are observed and are interpreted to reflect variations in water content (depleted versus metasomatized mantle) imprinted upon the mantle by the Keweenawan mantle plume.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.precamres.2016.03.009","usgsCitation":"Bedrosian, P.A., 2016, Making it and breaking it in the Midwest: Continental assembly and rifting from modeling of EarthScope magnetotelluric data: Precambrian Research, v. 278, p. 337-361, https://doi.org/10.1016/j.precamres.2016.03.009.","productDescription":"15 p.","startPage":"337","endPage":"361","ipdsId":"IP-071110","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":37273,"text":"Advanced Research Computing (ARC)","active":true,"usgs":true}],"links":[{"id":470941,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.precamres.2016.03.009","text":"Publisher Index Page"},{"id":330684,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"278","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"581c4cc3e4b09688d6e90fb7","contributors":{"authors":[{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":652813,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70178038,"text":"70178038 - 2016 - Measuring the relationship between sportfishing trip expenditures and anglers’ species preferences","interactions":[],"lastModifiedDate":"2016-11-01T13:22:57","indexId":"70178038","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Measuring the relationship between sportfishing trip expenditures and anglers’ species preferences","docAbstract":"We examined the relationship between fishing trip expenditures and anglers’ species preferences from a survey of Oklahoma resident anglers conducted in 2014. Understanding patterns in fishing trip expenditures is important because a significant share of state wildlife agency revenue comes from taxes on purchases of fishing equipment. Presently, there is little research that addresses the question of how spending levels vary within groups of sportspersons, including anglers. We used regression analysis to identify a relationship between trip spending and several preference variables, and included controls for other characteristics of fishing trips, such as location, party size, and duration. We received 780 surveys for a response rate of 26%, but only 506 were useable due to missing data or nonfishing responses. Average trip expenditures were approximately US$140, regardless of species preferences, but anglers who preferred to fish for trout and black bass tended to spend more than those who preferred to fish for catfish and panfish. These results were even more pronounced when location was considered, those who last fished at lakes spending more than those who fished at rivers or ponds. The results underscore the differences in spending among anglers with different preferred species and fishing locations.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02755947.2016.1167142","usgsCitation":"Long, J.M., and Melstrom, R.T., 2016, Measuring the relationship between sportfishing trip expenditures and anglers’ species preferences: North American Journal of Fisheries Management, v. 36, no. 4, p. 731-737, https://doi.org/10.1080/02755947.2016.1167142.","productDescription":"7 p.","startPage":"731","endPage":"737","ipdsId":"IP-069053","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":330620,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"4","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-27","publicationStatus":"PW","scienceBaseUri":"5819a9c4e4b0bb36a4c91027","contributors":{"authors":[{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":652583,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Melstrom, Richard T.","contributorId":176513,"corporation":false,"usgs":false,"family":"Melstrom","given":"Richard","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":652633,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70173811,"text":"70173811 - 2016 - Building a subduction zone observatory","interactions":[],"lastModifiedDate":"2020-12-17T20:36:06.99816","indexId":"70173811","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3879,"text":"Eos, Earth and Space Science News","active":true,"publicationSubtype":{"id":10}},"title":"Building a subduction zone observatory","docAbstract":"Subduction zones contain many of Earth’s most remarkable geologic structures, from the deepest oceanic trenches to glacier-covered mountains and steaming volcanoes. These environments formed through spectacular events: Nature’s largest earthquakes, tsunamis, and volcanic eruptions are born here.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2016EO052635","usgsCitation":"Gomberg, J.S., Bodin, P., Bourgeois, J., Cashman, S., Cowan, D., Creager, K.C., Crowell, B., Duvall, A., Frankel, A.D., Gonzalez, F.I., Houston, H., Johnson, P., Kelsey, H., Miller, U., Roland, E., Schmidt, D., Staisch, L.M., Vidale, J., Wilcock, W., and Wirth, E., 2016, Building a subduction zone observatory: Eos, Earth and Space Science News, HMTL Document, https://doi.org/10.1029/2016EO052635.","productDescription":"HMTL Document","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069483","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":471231,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2016eo052635","text":"Publisher Index 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The methodology, applied across the northern Gulf of Mexico, adapts a present day large-domain, high resolution, tide, wind-wave, and hurricane storm surge model to characterize the potential outlook of the coastal landscape under four SLR scenarios for the year 2100. The modifications include shoreline and barrier island morphology, marsh migration, and land use land cover change. Hydrodynamics of 10 historic hurricanes were simulated through each of the five model configurations (present day and four SLR scenarios). Under SLR, the total inundated land area increased by 87% and developed and agricultural lands by 138% and 189%, respectively. Peak surge increased by as much as 1 m above the applied SLR in some areas, and other regions were subject to a reduction in peak surge, with respect to the applied SLR, indicating a nonlinear response. Analysis of time-series water surface elevation suggests the interaction between SLR and storm surge is nonlinear in time; SLR increased the time of inundation and caused an earlier arrival of the peak surge, which cannot be addressed using a static (“bathtub”) modeling framework. This work supports the paradigm shift to using a dynamic modeling framework to examine the effects of global climate change on coastal inundation. The outcomes have broad implications and ultimately support a better holistic understanding of the coastal system and aid restoration and long-term coastal sustainability.
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","language":"English","publisher":"Elsevier Science","doi":"10.1016/j.ttbdis.2016.01.015","usgsCitation":"Erwin, J.A., Fitak, R.R., Dwyer, J.F., Morrison, J.L., and Culver, M., 2016, Molecular detection of bacteria in the families Rickettsiaceae and Anaplasmataceae in northern crested caracaras (Caracara cheriway): Ticks and Tick-borne Diseases, v. 7, no. 3, p. 470-474, https://doi.org/10.1016/j.ttbdis.2016.01.015.","productDescription":"5 p.","startPage":"470","endPage":"474","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070006","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":323980,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"3","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576913d9e4b07657d19ff1b1","contributors":{"authors":[{"text":"Erwin, John A.","contributorId":169990,"corporation":false,"usgs":false,"family":"Erwin","given":"John","email":"","middleInitial":"A.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":631741,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fitak, Robert R.","contributorId":169991,"corporation":false,"usgs":false,"family":"Fitak","given":"Robert","email":"","middleInitial":"R.","affiliations":[{"id":32413,"text":"University of Arizona, Tucson, AZ, USA, 85721","active":true,"usgs":false},{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":631742,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dwyer, James F.","contributorId":169992,"corporation":false,"usgs":false,"family":"Dwyer","given":"James","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":631743,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morrison, Joan L.","contributorId":169993,"corporation":false,"usgs":false,"family":"Morrison","given":"Joan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":631744,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Culver, Melanie 0000-0001-5380-3059 mculver@usgs.gov","orcid":"https://orcid.org/0000-0001-5380-3059","contributorId":4327,"corporation":false,"usgs":true,"family":"Culver","given":"Melanie","email":"mculver@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":127,"text":"Arizona Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true},{"id":12625,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA","active":true,"usgs":false}],"preferred":false,"id":631726,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70175601,"text":"70175601 - 2016 - Planning for ex situ conservation in the face of uncertainty","interactions":[],"lastModifiedDate":"2016-08-17T13:02:59","indexId":"70175601","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Planning for ex situ conservation in the face of uncertainty","docAbstract":"Ex situ conservation strategies for threatened species often require long-term commitment and financial investment to achieve management objectives. We present a framework that considers the decision to adopt ex situ management for a target species as the end point of several linked decisions. We used a decision tree to intuitively represent the logical sequence of decision making. The first decision is to identify the specific management actions most likely to achieve the fundamental objectives of the recovery plan, with or without the use of ex-situ populations. Once this decision has been made, one decides whether to establish an ex situ population, accounting for the probability of success in the initial phase of the recovery plan, for example, the probability of successful breeding in captivity. Approaching these decisions in the reverse order (attempting to establish an ex situ population before its purpose is clearly defined) can lead to a poor allocation of resources, because it may restrict the range of available decisions in the second stage. We applied our decision framework to the recovery program for the threatened spotted tree frog (Litoria spenceri) of southeastern Australia. Across a range of possible management actions, only those including ex situ management were expected to provide >50% probability of the species’ persistence, but these actions cost more than use of in situ alternatives only. The expected benefits of ex situ actions were predicted to be offset by additional uncertainty and stochasticity associated with establishing and maintaining ex situ populations. Naïvely implementing ex situ conservation strategies can lead to inefficient management. Our framework may help managers explicitly evaluate objectives, management options, and the probability of success prior to establishing a captive colony of any given species.
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Subsampling from these 60 fish, Hg concentration was also determined in both the somatic tissue and ovaries (n=5), while methylmercury (MeHg) concentration was determined in whole fish (n=18). Bioenergetics modeling was used to assess the growth dilution effect on the difference in Hg concentrations between the sexes. Mean whole-fish Hg concentration in females (59.9 ng/g) was not significantly different from mean whole-fish Hg concentration in males (54.4 ng/g). MeHg accounted for 91% of the mercury found in the lake whitefish. Bioenergetics modeling results indicated that the growth dilution effect did not contribute to a difference in Hg concentration between the sexes. We estimated that females increased in Hg concentration by 17.9%, on average, immediately after spawning due to release of eggs. Using PCB data for the same 60 lake whitefish from a previous study, we detected a significant interaction between sex and contaminant type (Hg or PCBs), which was attributable to males being significantly higher in PCB concentration than females. Males may be eliminating Hg at a faster rate than females.
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Our research agenda has two components. The first, “wildlife for wilderness,” considers the impact of wildlife on wilderness character. Whereas studies show that wildlife is important in both the perception and actual enhancement of wilderness character, the context and particulars of this relationship have not been evaluated. For instance, is knowing that a rare, native species is present in a wilderness area enough to increase perceptions of naturalness (an important wilderness quality)? Or does the public need to observe the species or its sign (e.g., tracks) for this benefit? The second part of our research agenda, “wilderness for wildlife,” considers the types of research needed to understand the impact of wilderness areas on wildlife and biodiversity conservation. Several studies show the effect of one area being designated wilderness on one wildlife species. Yet, there has been no research that examines how the networks of wilderness areas in the National Wilderness Preservation System (NWPS) are used by a species or a community of species. Furthermore, we found no studies that focused on how the NWPS affects ecological or trophic interactions among species. We hope that by providing a research agenda, we can spur multiple lines of research on the topic of wildlife and wilderness.
","language":"English","publisher":"Society of American Foresters","doi":"10.5849/jof.15-070","usgsCitation":"Schwartz, M.K., Hahn, B., and Hossack, B.R., 2016, Where the wild things are: A research agenda for studying wildlife-wilderness relationship: Journal of Forestry, v. 114, no. 3, p. 311-319, https://doi.org/10.5849/jof.15-070.","productDescription":"9 p.","startPage":"311","endPage":"319","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065898","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":470924,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5849/jof.15-070","text":"Publisher Index Page"},{"id":324513,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"114","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57739fb9e4b07657d1a90da7","contributors":{"authors":[{"text":"Schwartz, Michael K.","contributorId":102326,"corporation":false,"usgs":true,"family":"Schwartz","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":620362,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hahn, Beth","contributorId":166928,"corporation":false,"usgs":false,"family":"Hahn","given":"Beth","email":"","affiliations":[{"id":24574,"text":"National Park Service—Wilderness Stewardship Division, Aldo Leopold Wilderness Research Institute, 790 E. Beckwith Ave., Missoula, MT 59801","active":true,"usgs":false}],"preferred":false,"id":620363,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hossack, Blake R. 0000-0001-7456-9564 blake_hossack@usgs.gov","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":1177,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake","email":"blake_hossack@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":620361,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70168588,"text":"70168588 - 2016 - Enhancing drought resilience with conjunctive use and managed aquifer recharge in California and Arizona","interactions":[],"lastModifiedDate":"2018-09-13T13:55:04","indexId":"70168588","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","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":"Enhancing drought resilience with conjunctive use and managed aquifer recharge in California and Arizona","docAbstract":"Projected longer‐term droughts and intense floods underscore the need to store more water to manage climate extremes. Here we show how depleted aquifers have been used to store water by substituting surface water use for groundwater pumpage (conjunctive use, CU) or recharging groundwater with surface water (Managed Aquifer Recharge, MAR). Unique multi‐decadal monitoring from thousands of wells and regional modeling datasets for the California Central Valley and central Arizona were used to assess CU and MAR. In addition to natural reservoir capacity related to deep water tables, historical groundwater depletion further expanded aquifer storage by ~44 km3 in the Central Valley and by ~100 km3 in Arizona, similar to or exceeding current surface reservoir capacity by up to three times. Local river water and imported surface water, transported through 100s of km of canals, is substituted for groundwater (≤15 km3/yr, CU) or is used to recharge groundwater (MAR, ≤1.5 km3/yr) during wet years shifting to mostly groundwater pumpage during droughts. In the Central Valley, CU and MAR locally reversed historically declining water‐level trends, which contrasts with simulated net regional groundwater depletion. In Arizona, CU and MAR also reversed historically declining groundwater level trends in Active Management Areas. These rising trends contrast with current declining trends in irrigated areas that lack access to surface water to support CU or MAR. Use of depleted aquifers as reservoirs could expand with winter flood irrigation or capturing flood discharges to the Pacific (0 – 1.6 km3/yr, 2000–2014) with additional infrastructure in California. Because flexibility and expanded portfolio options translate to resilience, CU and MAR enhance drought resilience through multi‐year storage, complementing shorter term surface reservoir storage, and facilitating water markets.
","language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/11/4/049501","usgsCitation":"Scanlon, B., Reedy, R., Faunt, C., Pool, D.R., and Uhlman, K., 2016, Enhancing drought resilience with conjunctive use and managed aquifer recharge in California and Arizona: Environmental Research Letters, v. 11, no. 3, Article 035013; 15 p., https://doi.org/10.1088/1748-9326/11/4/049501.","productDescription":"Article 035013; 15 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-072928","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":470933,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/11/4/049501","text":"Publisher Index Page"},{"id":324524,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-08","publicationStatus":"PW","scienceBaseUri":"57739fafe4b07657d1a90cbe","contributors":{"authors":[{"text":"Scanlon, Bridget R.","contributorId":74093,"corporation":false,"usgs":true,"family":"Scanlon","given":"Bridget R.","affiliations":[],"preferred":false,"id":620985,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reedy, Robert C.","contributorId":92956,"corporation":false,"usgs":true,"family":"Reedy","given":"Robert C.","affiliations":[],"preferred":false,"id":620986,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faunt, Claudia C. 0000-0001-5659-7529 ccfaunt@usgs.gov","orcid":"https://orcid.org/0000-0001-5659-7529","contributorId":150147,"corporation":false,"usgs":true,"family":"Faunt","given":"Claudia C.","email":"ccfaunt@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":620984,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pool, Donald R. drpool@usgs.gov","contributorId":1121,"corporation":false,"usgs":true,"family":"Pool","given":"Donald","email":"drpool@usgs.gov","middleInitial":"R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":620983,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Uhlman, Kristine;","contributorId":167093,"corporation":false,"usgs":false,"family":"Uhlman","given":"Kristine;","email":"","affiliations":[{"id":17599,"text":"Texas Bureau of Economic Geology","active":true,"usgs":false}],"preferred":false,"id":620987,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70169108,"text":"70169108 - 2016 - Design for mosquito abundance, diversity, and phenology sampling within the National Ecological Observatory Network","interactions":[],"lastModifiedDate":"2016-06-28T14:08:47","indexId":"70169108","displayToPublicDate":"2016-06-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Design for mosquito abundance, diversity, and phenology sampling within the National Ecological Observatory Network","docAbstract":"The National Ecological Observatory Network (NEON) intends to monitor mosquito populations across its broad geographical range of sites because of their prevalence in food webs, sensitivity to abiotic factors and relevance for human health. We describe the design of mosquito population sampling in the context of NEON’s long term continental scale monitoring program, emphasizing the sampling design schedule, priorities and collection methods. Freely available NEON data and associated field and laboratory samples, will increase our understanding of how mosquito abundance, demography, diversity and phenology are responding to land use and climate change.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1320","usgsCitation":"Hoekman, D., Springer, Y.P., Barker, C., Barrera, R., Blackmore, M., Bradshaw, W., Foley, D.H., Ginsberg, H., Hayden, M.H., Holzapfel, C., Juliano, S., Kramer, L.D., LaDeau, S., Livdahl, T.P., Moore, C.G., Nasci, R., Reisen, W., and Savage, H.M., 2016, Design for mosquito abundance, diversity, and phenology sampling within the National Ecological Observatory Network: Ecosphere, v. 7, no. 5, e01320; 13 p., https://doi.org/10.1002/ecs2.1320.","productDescription":"e01320; 13 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-073978","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":470932,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1320","text":"Publisher Index Page"},{"id":324521,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"5","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-31","publicationStatus":"PW","scienceBaseUri":"57739faee4b07657d1a90cb8","contributors":{"authors":[{"text":"Hoekman, D.","contributorId":167627,"corporation":false,"usgs":false,"family":"Hoekman","given":"D.","email":"","affiliations":[{"id":24611,"text":"NEON","active":true,"usgs":false}],"preferred":false,"id":622962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Springer, Yuri P.","contributorId":148010,"corporation":false,"usgs":false,"family":"Springer","given":"Yuri","email":"","middleInitial":"P.","affiliations":[{"id":16880,"text":"National Ecological Observatory Network (NEON), 1685 38th St., Boulder, CO 80301, USA","active":true,"usgs":false}],"preferred":false,"id":622963,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barker, C.M.","contributorId":167629,"corporation":false,"usgs":false,"family":"Barker","given":"C.M.","email":"","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":622964,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barrera, R.","contributorId":167630,"corporation":false,"usgs":false,"family":"Barrera","given":"R.","email":"","affiliations":[{"id":17914,"text":"CDC","active":true,"usgs":false}],"preferred":false,"id":622965,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blackmore, M.S.","contributorId":167631,"corporation":false,"usgs":false,"family":"Blackmore","given":"M.S.","email":"","affiliations":[{"id":16978,"text":"Valdosta State University","active":true,"usgs":false}],"preferred":false,"id":622966,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bradshaw, W.E.","contributorId":167632,"corporation":false,"usgs":false,"family":"Bradshaw","given":"W.E.","email":"","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":622967,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Foley, D. 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A quality assessment index for bryophyte species assemblages (BQAI) was developed for the State of Ohio, USA. Reliable identification of bryophytes to species often requires considerable training, practice, and time. In contrast, reliable identification to genera for most bryophytes in Ohio requires much less training. We identified 110 bryophyte species (14 liverworts and 96 mosses) belonging to 69 genera (13 liverwort and 56 moss) in 45 wetlands (27 emergent, 13 forested, and 5 shrub) in Ohio. As expected, there were more genera and higher BQAI scores in forested than in emergent wetlands. Number of genera was highly correlated (r ≥ 0.9) with BQAI in emergent and forested wetlands and for the combined set of wetlands. Number of genera and BQAI responded almost identically to an index of wetland disturbance. The results suggest that number of genera has potential as a screening tool for assessing bryophyte community quality in wetlands in some regions.
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