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To identify factors contributing to the long-term decline of American woodcock, a holistic understanding of range-wide population connectivity throughout the annual cycle is needed. We used band recovery data and isotopic composition of primary (P1) and secondary (S13) feathers to estimate population sources and connectivity among natal, early fall, and winter ranges of hunter-harvested juvenile American woodcock. We used P1 feathers from known-origin pre-fledged woodcock (n = 43) to create a hydrogenδ2Hf isoscape by regressing δ2Hf against expected growing-season precipitation (δ2Hp). Modeled δ2Hp values explained 79% of the variance in P1 δ2Hf values, indicating good model fit for estimating woodcock natal origins. However, a poor relationship (r2 = 0.23) between known-origin, S13 δ2Hf values, and expected δ2Hp values precluded assignment of early fall origins. We applied the δ2Hfisoscape to assign natal origins using P1 feathers from 494 hunter-harvested juvenile woodcock in the United States and Canada during 2010–2011 and 2011–2012 hunting seasons. Overall, 64% of all woodcock origins were assigned to the northernmost (>44°N) portion of both the Central and Eastern Management Regions. In the Eastern Region, assignments were more uniformly distributed along the Atlantic coast, whereas in the Central Region, most woodcock were assigned to origins within and north of the Great Lakes region. We compared our origin assignments to spatial coverage of the annual American woodcock Singing Ground Survey (SGS) and evaluated whether the survey effectively encompasses the entire breeding range. When we removed the inadequately surveyed Softwood shield Bird Conservation Region (BCR) from the northern portion of the SGS area, only 48% of juvenile woodcock originated in areas currently surveyed by the SGS. Of the individuals assigned to the northernmost portions of the breeding range, several were harvested in the southern extent of the wintering range. Based upon this latitudinal winter stratification, we examined whether woodcock employed a leapfrog migration strategy. Using δ2Hf values and band-recovery data, we found some support for this migration strategy hypothesis but not as a singular explanation. The large harvest derivation of individuals from the northernmost portions of the breeding range, and the difference in breeding distributions within each Management Region should be considered in future range-wide conservation and harvest management planning for American woodcock. 

","language":"English","publisher":"Wildlife Society","doi":"10.1002/jwmg.1035","usgsCitation":"Sullins, D.S., Conway, W.C., Haukos, D.A., Hobson, K., Wassenaar, L.I., Comer, C.E., and Hung, I., 2016, American woodcock migratory connectivity as indicated by hydrogen isotopes: Journal of Wildlife Management, v. 80, no. 3, p. 510-526, https://doi.org/10.1002/jwmg.1035.","productDescription":"17 p.","startPage":"510","endPage":"526","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064387","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":317903,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"80","issue":"3","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-12","publicationStatus":"PW","scienceBaseUri":"56bc5f29e4b08d617f65ffd5","contributors":{"authors":[{"text":"Sullins, Daniel S.","contributorId":166689,"corporation":false,"usgs":false,"family":"Sullins","given":"Daniel","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":619731,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Warren C.","contributorId":51550,"corporation":false,"usgs":true,"family":"Conway","given":"Warren","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":619732,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":619705,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hobson, Keith A.","contributorId":47306,"corporation":false,"usgs":true,"family":"Hobson","given":"Keith A.","affiliations":[],"preferred":false,"id":619733,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wassenaar, Leonard I","contributorId":150277,"corporation":false,"usgs":false,"family":"Wassenaar","given":"Leonard","email":"","middleInitial":"I","affiliations":[{"id":17954,"text":"International Atomic Energy Agency, Vienna, Austria","active":true,"usgs":false}],"preferred":false,"id":619734,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Comer, Christopher E.","contributorId":166690,"corporation":false,"usgs":false,"family":"Comer","given":"Christopher","email":"","middleInitial":"E.","affiliations":[{"id":32360,"text":"Stephen F. Austin State University, Nacogdoches, TX","active":true,"usgs":false}],"preferred":false,"id":619735,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hung, I-Kuai","contributorId":166691,"corporation":false,"usgs":false,"family":"Hung","given":"I-Kuai","email":"","affiliations":[],"preferred":false,"id":619736,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70168337,"text":"70168337 - 2016 - An empirical assessment of which inland floods can be managed","interactions":[],"lastModifiedDate":"2016-02-10T10:24:37","indexId":"70168337","displayToPublicDate":"2016-02-10T11:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"An empirical assessment of which inland floods can be managed","docAbstract":"

Riverine flooding is a significant global issue. Although it is well documented that the influence of landscape structure on floods decreases as flood size increases, studies that define a threshold flood-return period, above which landscape features such as topography, land cover and impoundments can curtail floods, are lacking. Further, the relative influences of natural versus built features on floods is poorly understood. Assumptions about the types of floods that can be managed have considerable implications for the cost-effectiveness of decisions to invest in transforming land cover (e.g., reforestation) and in constructing structures (e.g., storm-water ponds) to control floods. This study defines parameters of floods for which changes in landscape structure can have an impact. We compare nine flood-return periods across 31 watersheds with widely varying topography and land cover in the southeastern United States, using long-term hydrologic records (≥20 years). We also assess the effects of built flow-regulating features (best management practices and artificial water bodies) on selected flood metrics across urban watersheds. We show that landscape features affect magnitude and duration of only those floods with return periods ≤10 years, which suggests that larger floods cannot be managed effectively by manipulating landscape structure. Overall, urban watersheds exhibited larger (270 m3/s) but quicker (0.41 days) floods than non-urban watersheds (50 m3/s and 1.5 days). However, urban watersheds with more flow-regulating features had lower flood magnitudes (154 m3/s), but similar flood durations (0.55 days), compared to urban watersheds with fewer flow-regulating features (360 m3/s and 0.23 days). Our analysis provides insight into the magnitude, duration and count of floods that can be curtailed by landscape structure and its management. Our findings are relevant to other areas with similar climate, topography, and land use, and can help ensure that investments in flood management are made wisely after considering the limitations of landscape features to regulate floods.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2015.10.044","usgsCitation":"Mogollon, B., Frimpong, E.A., Hoegh, A.B., and Angermeier, P.L., 2016, An empirical assessment of which inland floods can be managed: Journal of Environmental Management, v. 167, p. 38-48, https://doi.org/10.1016/j.jenvman.2015.10.044.","productDescription":"11 p.","startPage":"38","endPage":"48","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060039","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":471247,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jenvman.2015.10.044","text":"Publisher Index Page"},{"id":317898,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"167","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56bc5f2ce4b08d617f65ffe0","chorus":{"doi":"10.1016/j.jenvman.2015.10.044","url":"http://dx.doi.org/10.1016/j.jenvman.2015.10.044","publisher":"Elsevier BV","authors":"Mogollón Beatriz, Frimpong Emmanuel A., Hoegh Andrew B., Angermeier Paul L.","journalName":"Journal of Environmental Management","publicationDate":"2/2016"},"contributors":{"authors":[{"text":"Mogollon, Beatriz","contributorId":166682,"corporation":false,"usgs":false,"family":"Mogollon","given":"Beatriz","email":"","affiliations":[{"id":35590,"text":"USAID/USFS","active":true,"usgs":false}],"preferred":false,"id":619719,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frimpong, Emmanuel A.","contributorId":79372,"corporation":false,"usgs":true,"family":"Frimpong","given":"Emmanuel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":619720,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoegh, Andrew B.","contributorId":166684,"corporation":false,"usgs":false,"family":"Hoegh","given":"Andrew","email":"","middleInitial":"B.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":619721,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Angermeier, Paul L. 0000-0003-2864-170X biota@usgs.gov","orcid":"https://orcid.org/0000-0003-2864-170X","contributorId":166679,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul","email":"biota@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":619709,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70215608,"text":"70215608 - 2016 - Techniques for monitoring Brachyramphus murrelets: A comparison of radar, autonomous acoustic recording and audio‐visual surveys","interactions":[],"lastModifiedDate":"2020-10-26T16:20:18.20685","indexId":"70215608","displayToPublicDate":"2016-02-10T11:14:35","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Techniques for monitoring Brachyramphus murrelets: A comparison of radar, autonomous acoustic recording and audio‐visual surveys","title":"Techniques for monitoring Brachyramphus murrelets: A comparison of radar, autonomous acoustic recording and audio‐visual surveys","docAbstract":"

Conditions in Alaska, USA, pose a challenge for monitoring populations of Brachyramphus murrelets using standard survey methods, because of strong winds, 2 sympatric species, short nights, and variable nesting habitat. We tested 3 methods for monitoring Brachyramphus murrelets breeding in the Kodiak Archipelago, Alaska, in 2010–2012. In addition to standard audio‐visual and radar methods, we tested—for the first time with murrelets in Alaska—the application of autonomous acoustic recorders for monitoring vocal activity. We completed 74 radar, 124 audio‐visual, and 134 autonomous acoustic surveys, focused on presunrise activity peaks; this yielded 26,375 murrelet detections. Marbled (B. marmoratus) and Kittlitz's murrelets (B. brevirostris) could not be distinguished using combinations of radar and acoustic recordings; therefore, at‐sea surveys will be required to determine localized species proportions. Of the 3 methods, radar sampled the largest area and detected silently flying murrelets, providing the most reliable data on local populations; however, radar identification of murrelets was unreliable in winds exceeding 18 km/hr. Audio‐visual surveys were useful for species identification and to document behaviors associated with local nesting, whereas autonomous acoustic recorders allowed season‐long monitoring of murrelet vocal activity. Within potential forest‐nesting habitat of marbled murrelets, all 3 methods gave similar measures of presunrise murrelet activity, but only radar reliably sampled murrelets commuting between nest and ocean. Because of their low cost and flexible programming, automated sound recorders offer an affordable way to sample vocal activity prior to more intensive or expensive radar and audio‐visual surveys. We recommend that population monitoring and habitat studies of Brachyramphus murrelets in Alaska include combinations of all 3 methods.

","language":"English","publisher":"Wiley","doi":"10.1002/wsb.623","usgsCitation":"Cragg, J., Burger, A.E., and Piatt, J.F., 2016, Techniques for monitoring Brachyramphus murrelets: A comparison of radar, autonomous acoustic recording and audio‐visual surveys: Wildlife Society Bulletin, https://doi.org/10.1002/wsb.623.","ipdsId":"IP-057687","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":471248,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/c6a0cd7970714963a885294974c8bc3d","text":"External Repository"},{"id":379764,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":379737,"type":{"id":15,"text":"Index Page"},"url":"https://wildlife.onlinelibrary.wiley.com/doi/full/10.1002/wsb.623"}],"country":"United States","state":"Alaska","otherGeospatial":"Kodiak Archipelago","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -154.720458984375,\n 56.30434864830831\n ],\n [\n -153.8250732421875,\n 56.52616947342749\n ],\n [\n -152.20458984375,\n 57.35616414789182\n ],\n [\n -151.69372558593747,\n 58.24594583464163\n ],\n [\n -152.38037109375,\n 58.69121321309073\n ],\n [\n -152.9296875,\n 58.54819451046483\n ],\n [\n -153.8360595703125,\n 57.94692981959113\n ],\n [\n -154.85778808593747,\n 57.41537824180043\n ],\n [\n -154.8797607421875,\n 56.41390137600676\n ],\n [\n -154.720458984375,\n 56.30434864830831\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2016-02-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Cragg, J.L.","contributorId":243996,"corporation":false,"usgs":false,"family":"Cragg","given":"J.L.","affiliations":[{"id":41163,"text":"Department of Biology, University of Victoria","active":true,"usgs":false}],"preferred":false,"id":802956,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burger, Alan E.","contributorId":179916,"corporation":false,"usgs":false,"family":"Burger","given":"Alan","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":802957,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Piatt, John F. 0000-0002-4417-5748 jpiatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4417-5748","contributorId":3025,"corporation":false,"usgs":true,"family":"Piatt","given":"John","email":"jpiatt@usgs.gov","middleInitial":"F.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":802958,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70168339,"text":"70168339 - 2016 - The first description of oarfish Regalecus glesne (Regalecus russellii Cuvier 1816) ageing structures","interactions":[],"lastModifiedDate":"2016-02-10T10:00:22","indexId":"70168339","displayToPublicDate":"2016-02-10T11:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"The first description of oarfish Regalecus glesne (Regalecus russellii Cuvier 1816) ageing structures","docAbstract":"
Despite being a large, conspicuous teleost with a worldwide tropical and temperate distribution, the giant oarfish Regalecus spp. remain very rare fish species in terms of scientific sampling. Subsequently, very little biological information is known about Regalecus spp. and almost nothing has been concluded in the field of age and growth (Roberts, 2012). No studies of otoliths or temporal (annual) markings on any hard structures have been reported, and to our knowledge otoliths have never been recovered from any specimens (Tyson Roberts, personal communication),although a few texts do provide illustrations of Regalecus sp. otoliths (Lin and Chang, 2012; Nolf, 2013). Further inferential difficulty comes from the fact that age and growth studies of any Lampridiforme species are rare. Lampris guttatus is perhaps the only Lampridiforme species for which any biological information has been reported(Francis et al., 2004), which stems from the species commercial value. In order to begin understanding any species (for later purposes of management, conservation, etc.), basic biological information is needed. In the present study, we examine not only the first Regalecus russellii otolith, but provide suggestions toward future work that should direct data collection that can be used to generate basic biological information for this species.
","language":"English","publisher":"Wiley","doi":"10.1111/jai.12967","usgsCitation":"Midway, S., and Wagner, T., 2016, The first description of oarfish Regalecus glesne (Regalecus russellii Cuvier 1816) ageing structures: Journal of Applied Ichthyology, v. 32, no. 1, p. 113-116, https://doi.org/10.1111/jai.12967.","productDescription":"4 p.","startPage":"113","endPage":"116","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-061279","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":471249,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jai.12967","text":"Publisher Index Page"},{"id":317896,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2015-12-09","publicationStatus":"PW","scienceBaseUri":"56bc5f35e4b08d617f660024","contributors":{"authors":[{"text":"Midway, S.R.","contributorId":55666,"corporation":false,"usgs":true,"family":"Midway","given":"S.R.","email":"","affiliations":[],"preferred":false,"id":619715,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":619711,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70168338,"text":"70168338 - 2016 - Mapping technological and biophysical capacities of watersheds to regulate floods","interactions":[],"lastModifiedDate":"2016-02-10T10:05:12","indexId":"70168338","displayToPublicDate":"2016-02-10T11:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Mapping technological and biophysical capacities of watersheds to regulate floods","docAbstract":"

Flood regulation is a widely valued and studied service provided by watersheds. Flood regulation benefits people directly by decreasing the socio-economic costs of flooding and indirectly by its positive impacts on cultural (e.g., fishing) and provisioning (e.g., water supply) ecosystem services. Like other regulating ecosystem services (e.g., pollination, water purification), flood regulation is often enhanced or replaced by technology, but the relative efficacy of natural versus technological features in controlling floods has scarcely been examined. In an effort to assess flood regulation capacity for selected urban watersheds in the southeastern United States, we: (1) used long-term flood records to assess relative influence of technological and biophysical indicators on flood magnitude and duration, (2) compared the widely used runoff curve number (RCN) approach for assessing the biophysical capacity to regulate floods to an alternative approach that acknowledges land cover and soil properties separately, and (3) mapped technological and biophysical flood regulation capacities based on indicator importance-values derived for flood magnitude and duration. We found that watersheds with high biophysical (via the alternative approach) and technological capacities lengthened the duration and lowered the peak of floods. We found the RCN approach yielded results opposite that expected, possibly because it confounds soil and land cover processes, particularly in urban landscapes, while our alternative approach coherently separates these processes. Mapping biophysical (via the alternative approach) and technological capacities revealed great differences among watersheds. Our study improves on previous mapping of flood regulation by (1) incorporating technological capacity, (2) providing high spatial resolution (i.e., 10-m pixel) maps of watershed capacities, and (3) deriving importance-values for selected landscape indicators. By accounting for technology that enhances or replaces natural flood regulation, our approach enables watershed managers to make more informed choices in their flood-control investments.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2015.09.049","usgsCitation":"Mogollon, B., Villamagna, A., Frimpong, E.A., and Angermeier, P.L., 2016, Mapping technological and biophysical capacities of watersheds to regulate floods: Ecological Indicators, v. 61, no. 2, p. 483-499, https://doi.org/10.1016/j.ecolind.2015.09.049.","productDescription":"17 p.","startPage":"483","endPage":"499","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060338","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":471250,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2015.09.049","text":"Publisher Index Page"},{"id":317897,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"61","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56bc5f35e4b08d617f660020","contributors":{"authors":[{"text":"Mogollon, Beatriz","contributorId":166682,"corporation":false,"usgs":false,"family":"Mogollon","given":"Beatriz","email":"","affiliations":[{"id":35590,"text":"USAID/USFS","active":true,"usgs":false}],"preferred":false,"id":619716,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Villamagna, Amy M.","contributorId":166683,"corporation":false,"usgs":false,"family":"Villamagna","given":"Amy M.","affiliations":[{"id":35056,"text":"Plymouth State University","active":true,"usgs":false}],"preferred":false,"id":619717,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frimpong, Emmanuel A.","contributorId":79372,"corporation":false,"usgs":true,"family":"Frimpong","given":"Emmanuel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":619718,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Angermeier, Paul L. 0000-0003-2864-170X biota@usgs.gov","orcid":"https://orcid.org/0000-0003-2864-170X","contributorId":166679,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul","email":"biota@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":619710,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70168340,"text":"70168340 - 2016 - An index of floodplain surface complexity","interactions":[],"lastModifiedDate":"2016-02-10T09:52:47","indexId":"70168340","displayToPublicDate":"2016-02-10T10:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"An index of floodplain surface complexity","docAbstract":"

Floodplain surface topography is an important component of floodplain ecosystems. It is the primary physical template upon which ecosystem processes are acted out, and complexity in this template can contribute to the high biodiversity and productivity of floodplain ecosystems. There has been a limited appreciation of floodplain surface complexity because of the traditional focus on temporal variability in floodplains as well as limitations to quantifying spatial complexity. An index of floodplain surface complexity (FSC) is developed in this paper and applied to eight floodplains from different geographic settings. The index is based on two key indicators of complexity, variability in surface geometry (VSG) and the spatial organisation of surface conditions (SPO), and was determined at three sampling scales. FSC, VSG, and SPO varied between the eight floodplains and these differences depended upon sampling scale. Relationships between these measures of spatial complexity and seven geomorphological and hydrological drivers were investigated. There was a significant decline in all complexity measures with increasing floodplain width, which was explained by either a power, logarithmic, or exponential function. There was an initial rapid decline in surface complexity as floodplain width increased from 1.5 to 5 km, followed by little change in floodplains wider than 10 km. VSG also increased significantly with increasing sediment yield. No significant relationships were determined between any of the four hydrological variables and floodplain surface complexity.

","language":"English","publisher":"Copernicus Publications","doi":"10.5194/hess-20-431-2016","usgsCitation":"Scown, M.W., Thoms, M.C., and De Jager, N.R., 2016, An index of floodplain surface complexity: Hydrology and Earth System Sciences, v. 20, p. 431-441, https://doi.org/10.5194/hess-20-431-2016.","productDescription":"11 p.","startPage":"431","endPage":"441","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-064127","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":471251,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-20-431-2016","text":"Publisher Index Page"},{"id":317895,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-26","publicationStatus":"PW","scienceBaseUri":"56bc5f2de4b08d617f65ffe8","contributors":{"authors":[{"text":"Scown, Murray W.","contributorId":145709,"corporation":false,"usgs":false,"family":"Scown","given":"Murray","email":"","middleInitial":"W.","affiliations":[{"id":24492,"text":"Riverine Landscapes Research Laboratory, University of New England, Armidale, Australia","active":true,"usgs":false}],"preferred":false,"id":619713,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thoms, Martin C. 0000-0002-8074-0476","orcid":"https://orcid.org/0000-0002-8074-0476","contributorId":145710,"corporation":false,"usgs":false,"family":"Thoms","given":"Martin","email":"","middleInitial":"C.","affiliations":[{"id":16205,"text":"Riverine Landscapes Research Laboratory, University of New England, NSW, Australia","active":true,"usgs":false}],"preferred":false,"id":619714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"De Jager, Nathan R. 0000-0002-6649-4125 ndejager@usgs.gov","orcid":"https://orcid.org/0000-0002-6649-4125","contributorId":3717,"corporation":false,"usgs":true,"family":"De Jager","given":"Nathan","email":"ndejager@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":619712,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70173988,"text":"70173988 - 2016 - Regional monitoring programs in the United States: Synthesis of four case studies from Pacific, Atlantic, and Gulf Coasts","interactions":[],"lastModifiedDate":"2017-10-30T11:23:43","indexId":"70173988","displayToPublicDate":"2016-02-10T09:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5094,"text":"Regional Studies in Marine Science","onlineIssn":"2352-4855","active":true,"publicationSubtype":{"id":10}},"title":"Regional monitoring programs in the United States: Synthesis of four case studies from Pacific, Atlantic, and Gulf Coasts","docAbstract":"

Water quality monitoring is a cornerstone of environmental protection and ambient monitoring provides managers with the critical data they need to take informed action. Unlike site-specific monitoring that is at the heart of regulatory permit compliance, regional monitoring can provide an integrated, holistic view of the environment, allowing managers to obtain a more complete picture of natural variability and cumulative impacts, and more effectively prioritize management actions. By reviewing four long-standing regional monitoring programs that cover portions of all three coasts in the United States – Chesapeake Bay, Tampa Bay, Southern California Bight, and San Francisco Bay – important insights can be gleaned about the benefits that regional monitoring provides to managers. These insights include the underlying reasons that make regional monitoring programs successful, the challenges to maintain relevance and viability in the face of ever-changing technology, competing demands and shifting management priorities. The lessons learned can help other managers achieve similar successes as they seek to establish and reinvigorate their own monitoring programs.

","language":"English","publisher":"Elsevier","publisherLocation":"Amsterdam, Netherlands","doi":"10.1016/j.rsma.2015.11.007","usgsCitation":"Tango, P.J., Schiff, K., Trowbridge, P., Sherwood, E., and Batiuk, R., 2016, Regional monitoring programs in the United States: Synthesis of four case studies from Pacific, Atlantic, and Gulf Coasts: Regional Studies in Marine Science, v. 4, p. A1-A7, https://doi.org/10.1016/j.rsma.2015.11.007.","productDescription":"7 p.","startPage":"A1","endPage":"A7","numberOfPages":"7","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066996","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":552,"text":"San Francisco Bay-Delta","active":false,"usgs":true}],"links":[{"id":324173,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Delaware, Florida, Maryland, New Jersey, Pennsylvania, Virginia, West Virginia,","city":"San Francisco, Tampa","otherGeospatial":"Chesapeake Bay, San Francisco Bay, Southern California Bight, Tampa Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.07159423828125,\n 37.155938651244625\n ],\n [\n -123.07159423828125,\n 38.34596449365382\n ],\n [\n -121.24237060546876,\n 38.34596449365382\n ],\n [\n -121.24237060546876,\n 37.155938651244625\n ],\n [\n -123.07159423828125,\n 37.155938651244625\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.50903320312501,\n 34.488447837809304\n ],\n [\n -118.02612304687499,\n 34.511083202999714\n ],\n [\n -116.68579101562499,\n 32.699488680852674\n ],\n [\n -119.4049072265625,\n 32.602361666817515\n ],\n [\n -120.377197265625,\n 33.48185394054361\n ],\n [\n -120.50903320312501,\n 34.488447837809304\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.95501708984375,\n 27.38396203008555\n ],\n [\n -82.95501708984375,\n 28.214869548073377\n ],\n [\n -82.265625,\n 28.214869548073377\n ],\n [\n -82.265625,\n 27.38396203008555\n ],\n [\n -82.95501708984375,\n 27.38396203008555\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.87109375,\n 36.55377524336086\n ],\n [\n -77.87109375,\n 39.95185892663005\n ],\n [\n -74.102783203125,\n 39.95185892663005\n ],\n [\n -74.102783203125,\n 36.55377524336086\n ],\n [\n -77.87109375,\n 36.55377524336086\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"576a6548e4b07657d1a11e67","contributors":{"authors":[{"text":"Tango, Peter J. pjtango@usgs.gov","contributorId":4088,"corporation":false,"usgs":true,"family":"Tango","given":"Peter","email":"pjtango@usgs.gov","middleInitial":"J.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":640166,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schiff, K.","contributorId":172254,"corporation":false,"usgs":false,"family":"Schiff","given":"K.","email":"","affiliations":[{"id":12704,"text":"Southern California Coastal Water Research Project","active":true,"usgs":false}],"preferred":false,"id":640167,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Trowbridge, P.R.","contributorId":11035,"corporation":false,"usgs":true,"family":"Trowbridge","given":"P.R.","email":"","affiliations":[],"preferred":false,"id":640168,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sherwood, E.T.","contributorId":172255,"corporation":false,"usgs":false,"family":"Sherwood","given":"E.T.","email":"","affiliations":[{"id":27015,"text":"Tampa Bay Estuary Program","active":true,"usgs":false}],"preferred":false,"id":640169,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Batiuk, R.A.","contributorId":16550,"corporation":false,"usgs":true,"family":"Batiuk","given":"R.A.","email":"","affiliations":[],"preferred":false,"id":640170,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70173439,"text":"70173439 - 2016 - Antemortem detection of chronic wasting disease prions in nasal brush collections and rectal biopsies from white-tailed deer by real time quaking-induced conversion","interactions":[],"lastModifiedDate":"2016-06-14T15:20:19","indexId":"70173439","displayToPublicDate":"2016-02-10T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2218,"text":"Journal of Clinical Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Antemortem detection of chronic wasting disease prions in nasal brush collections and rectal biopsies from white-tailed deer by real time quaking-induced conversion","docAbstract":"

Chronic wasting disease (CWD), a transmissible spongiform encephalopathy of cervids, was first documented nearly 50 years ago in Colorado and Wyoming and has since spread to cervids in 23 states, two Canadian provinces, and the Republic of Korea. The expansion of this disease makes the development of sensitive diagnostic assays and antemortem sampling techniques crucial for the mitigation of its spread; this is especially true in cases of relocation/reintroduction of farmed or free-ranging deer and elk or surveillance studies of private or protected herds, where depopulation is contraindicated. This study sought to evaluate the sensitivity of the real-time quaking-induced conversion (RT-QuIC) assay by using recto-anal mucosa-associated lymphoid tissue (RAMALT) biopsy specimens and nasal brush samples collected antemortem from farmed white-tailed deer (n = 409). Antemortem findings were then compared to results from ante- and postmortem samples (RAMALT, brainstem, and medial retropharyngeal lymph nodes) evaluated by using the current gold standard in vitro assay, immunohistochemistry (IHC) analysis. We hypothesized that the sensitivity of RT-QuIC would be comparable to IHC analysis in antemortem tissues and would correlate with both the genotype and the stage of clinical disease. Our results showed that RAMALT testing by RT-QuIC assay had the highest sensitivity (69.8%) compared to that of postmortem testing, with a specificity of >93.9%. These data suggest that RT-QuIC, like IHC analysis, is an effective assay for detection of PrPCWD in rectal biopsy specimens and other antemortem samples and, with further research to identify more sensitive tissues, bodily fluids, or experimental conditions, has potential for large-scale and rapid automated testing for CWD diagnosis.

","language":"English","publisher":"American Society for Microbiology","doi":"10.1128/JCM.02699-15","usgsCitation":"Haley, N.J., Siepker, C., Walter, W.D., Thomsen, B.V., Greenlee, J.J., Lehmkuhl, A.D., and Richt, J.A., 2016, Antemortem detection of chronic wasting disease prions in nasal brush collections and rectal biopsies from white-tailed deer by real time quaking-induced conversion: Journal of Clinical Microbiology, v. 54, no. 4, p. 1108-1116, https://doi.org/10.1128/JCM.02699-15.","productDescription":"9 p.","startPage":"1108","endPage":"1116","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069676","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":471254,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1128/jcm.02699-15","text":"Publisher Index Page"},{"id":323603,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57612aade4b04f417c2ce46a","contributors":{"authors":[{"text":"Haley, Nicholas J.","contributorId":171814,"corporation":false,"usgs":false,"family":"Haley","given":"Nicholas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":638772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Siepker, Chris","contributorId":171815,"corporation":false,"usgs":true,"family":"Siepker","given":"Chris","email":"","affiliations":[],"preferred":false,"id":638773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walter, W. David 0000-0003-3068-1073 wwalter@usgs.gov","orcid":"https://orcid.org/0000-0003-3068-1073","contributorId":5083,"corporation":false,"usgs":true,"family":"Walter","given":"W.","email":"wwalter@usgs.gov","middleInitial":"David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":637133,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thomsen, Bruce V.","contributorId":171816,"corporation":false,"usgs":false,"family":"Thomsen","given":"Bruce","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":638774,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Greenlee, Justin J.","contributorId":171817,"corporation":false,"usgs":false,"family":"Greenlee","given":"Justin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":638775,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lehmkuhl, Aaron D.","contributorId":171818,"corporation":false,"usgs":false,"family":"Lehmkuhl","given":"Aaron","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":638776,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Richt, Jurgen a.","contributorId":171819,"corporation":false,"usgs":false,"family":"Richt","given":"Jurgen","email":"","middleInitial":"a.","affiliations":[],"preferred":false,"id":638777,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70168926,"text":"70168926 - 2016 - Asthenosphere–lithosphere interactions in Western Saudi Arabia: Inferences from 3He/4He in xenoliths and lava flows from Harrat Hutaymah","interactions":[],"lastModifiedDate":"2016-03-08T16:02:15","indexId":"70168926","displayToPublicDate":"2016-02-10T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2588,"text":"LITHOS","active":true,"publicationSubtype":{"id":10}},"title":"Asthenosphere–lithosphere interactions in Western Saudi Arabia: Inferences from 3He/4He in xenoliths and lava flows from Harrat Hutaymah","docAbstract":"

Extensive volcanic fields on the western Arabian Plate have erupted intermittently over the last 30 Ma following emplacement of the Afar flood basalts in Ethiopia. In an effort to better understand the origin of this volcanism in western Saudi Arabia, we analyzed3He/4He, and He, CO2 and trace element concentrations in minerals separated from xenoliths and lava flows from Harrat Hutaymah, supplemented with reconnaissance He isotope data from several other volcanic fields (Harrat Al Birk, Harrat Al Kishb and Harrat Ithnayn). Harrat Hutaymah is young (< 850 ka) and the northeasternmost of the volcanic fields. There is a remarkable homogeneity of 3He/4He trapped within most xenoliths, with a weighted mean of 7.54 ± 0.03 RA (2σ, n = 20). This homogeneity occurs over at least eight different xenolith types (including spinel lherzolite, amphibole clinopyroxenite, olivine websterite, clinopyroxenite and garnet websterite), and encompasses ten different volcanic centers within an area of ~ 2500 km2. The homogeneity is caused by volatile equilibration between the xenoliths and fluids derived from their host magma, as fluid inclusions are annealed during the infiltration of vapor-saturated magmas along crystalline grain boundaries. The notable exceptions are the anhydrous spinel lherzolites, which have a lower weighted mean 3He/4He of 6.8 ± 0.3 RA (2σ, n = 2), contain lower concentrations of trapped He, and have a distinctly depleted light rare earth element signature. 3He/4He values of ~ 6.8 RA are also commonly found in spinel lherzolites from harrats Ithnayn, Al Birk, and from Zabargad Island in the Red Sea. Olivine from non-xenolith-bearing lava flows at Hutaymah spans the He isotope range of the xenoliths. The lower 3He/4He in the anhydrous spinel lherzolites appears to be tied to remnant Proterozoic lithosphere prior to metasomatic fluid overprinting.

\n

Elevated 3He/4He in the western harrats has been observed only at Rahat (up to 11.8 RA; Murcia et al., 2013), a volcanic field situated above thinned lithosphere beneath the Makkah-Medinah-Nafud volcanic lineament. Previous work established that spinel lherzolites at Hutaymah are sourced near the lithosphere-asthenosphere boundary (LAB), while other xenolith types there are derived from shallower depths within the lithosphere itself (Thornber, 1992). Helium isotopes are consistent with melts originating near the LAB beneath many of the Arabian harrats, and any magma derived from the Afar mantle plume currently appears to be of minor importance.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.lithos.2016.01.031","usgsCitation":"Konrad, K., Graham, D.W., Thornber, C., Duncan, R.A., Kent, A., and Al-Amri, A., 2016, Asthenosphere–lithosphere interactions in Western Saudi Arabia: Inferences from 3He/4He in xenoliths and lava flows from Harrat Hutaymah: LITHOS, v. 248-251, p. 339-352, https://doi.org/10.1016/j.lithos.2016.01.031.","productDescription":"14 p.","startPage":"339","endPage":"352","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070268","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":471252,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.lithos.2016.01.031","text":"Publisher Index Page"},{"id":318695,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Saudi Arabia, Yemen","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 34.62890625,\n 28.14950321154457\n ],\n [\n 39.63867187499999,\n 30.29701788337205\n ],\n [\n 48.9990234375,\n 14.179186142354181\n ],\n [\n 43.59375,\n 12.46876014482322\n ],\n [\n 34.62890625,\n 28.14950321154457\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"248-251","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"56e005c1e4b015c306fd0ef3","contributors":{"authors":[{"text":"Konrad, Kevin","contributorId":167397,"corporation":false,"usgs":false,"family":"Konrad","given":"Kevin","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":622137,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graham, David W.","contributorId":167398,"corporation":false,"usgs":false,"family":"Graham","given":"David","email":"","middleInitial":"W.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":622138,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thornber, Carl 0000-0002-6382-4408 cthornber@usgs.gov","orcid":"https://orcid.org/0000-0002-6382-4408","contributorId":167396,"corporation":false,"usgs":true,"family":"Thornber","given":"Carl","email":"cthornber@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":622136,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duncan, Robert A.","contributorId":167399,"corporation":false,"usgs":false,"family":"Duncan","given":"Robert","email":"","middleInitial":"A.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":622139,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kent, Adam J. R.","contributorId":99842,"corporation":false,"usgs":true,"family":"Kent","given":"Adam J. R.","affiliations":[],"preferred":false,"id":622140,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Al-Amri, Abdulla","contributorId":167400,"corporation":false,"usgs":false,"family":"Al-Amri","given":"Abdulla","affiliations":[{"id":24707,"text":"King Saud University, Riyahd, KSA","active":true,"usgs":false}],"preferred":false,"id":622141,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70173600,"text":"70173600 - 2016 - Predicting the risk of toxic blooms of golden alga from cell abundance and environmental covariates","interactions":[],"lastModifiedDate":"2016-06-10T14:59:45","indexId":"70173600","displayToPublicDate":"2016-02-09T09:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2622,"text":"Limnology and Oceanography: Methods","active":true,"publicationSubtype":{"id":10}},"title":"Predicting the risk of toxic blooms of golden alga from cell abundance and environmental covariates","docAbstract":"

Golden alga (Prymnesium parvum) is a toxic haptophyte that has caused considerable ecological damage to marine and inland aquatic ecosystems worldwide. Studies focused primarily on laboratory cultures have indicated that toxicity is poorly correlated with the abundance of golden alga cells. This relationship, however, has not been rigorously evaluated in the field where environmental conditions are much different. The ability to predict toxicity using readily measured environmental variables and golden alga abundance would allow managers rapid assessments of ichthyotoxicity potential without laboratory bioassay confirmation, which requires additional resources to accomplish. To assess the potential utility of these relationships, several a priori models relating lethal levels of golden alga ichthyotoxicity to golden alga abundance and environmental covariates were constructed. Model parameters were estimated using archived data from four river basins in Texas and New Mexico (Colorado, Brazos, Red, Pecos). Model predictive ability was quantified using cross-validation, sensitivity, and specificity, and the relative ranking of environmental covariate models was determined by Akaike Information Criterion values and Akaike weights. Overall, abundance was a generally good predictor of ichthyotoxicity as cross validation of golden alga abundance-only models ranged from ∼ 80% to ∼ 90% (leave-one-out cross-validation). Environmental covariates improved predictions, especially the ability to predict lethally toxic events (i.e., increased sensitivity), and top-ranked environmental covariate models differed among the four basins. These associations may be useful for monitoring as well as understanding the abiotic factors that influence toxicity during blooms.

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Shawn","contributorId":145738,"corporation":false,"usgs":false,"family":"Denny","given":"Shawn","email":"","affiliations":[],"preferred":false,"id":638471,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70164477,"text":"70164477 - 2016 - Spatial and temporal variation in microcystins occurrence in wadeable streams in the southeastern USA","interactions":[],"lastModifiedDate":"2018-08-07T12:32:00","indexId":"70164477","displayToPublicDate":"2016-02-08T09:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal variation in microcystins occurrence in wadeable streams in the southeastern USA","docAbstract":"

Despite historical observations of potential microcystin-producing cyanobacteria (including Leptolyngbya,Phormidium, Pseudoanabaena, and Anabaena species) in 74% of headwater streams in Alabama, Georgia, South Carolina, and North Carolina (USA) from 1993 to 2011, fluvial cyanotoxin occurrence has not been systematically assessed in the southeastern United States. To begin to address this data gap, a spatial reconnaissance of fluvial microcystin concentrations was conducted in 75 wadeable streams in the Piedmont region (southeastern USA) during June 2014. Microcystins were detected using enzyme-linked immunosorbent assay (limit = 0.10 µg/L) in 39% of the streams with mean, median, and maximum detected concentrations of 0.29 µg/L, 0.11 µg/L, and 3.2 µg/L, respectively. Significant (α = 0.05) correlations were observed between June 2014 microcystin concentrations and stream flow, total nitrogen to total phosphorus ratio, and water temperature; but each of these factors explained 38% or less of the variability in fluvial microcystins across the region. Temporal microcystin variability was assessed monthly through October 2014 in 5 of the streams where microcystins were observed in June and in 1 reference location; microcystins were repeatedly detected in all but the reference stream. Although microcystin concentrations in the present study did not exceed World Health Organization recreational guidance thresholds, their widespread occurrence demonstrates the need for further investigation of possible in-stream environmental health effects as well as potential impacts on downstream lakes and reservoirs. Environ Toxicol Chem 2016;9999:1–7. Published 2016 Wiley Periodicals Inc. on behalf of SETAC. This article is a US Government work and, as such, is in the public domain in the United States of America.

","language":"English","publisher":"Wiley, Inc.","doi":"10.1002/etc.3391","usgsCitation":"Loftin, K.A., Clark, J.M., Journey, C.A., Kolpin, D.W., Van Metre, P., and Bradley, P.M., 2016, Spatial and temporal variation in microcystins occurrence in wadeable streams in the southeastern USA: Environmental Toxicology and Chemistry, v. 35, no. 9, p. 2281-2287, https://doi.org/10.1002/etc.3391.","productDescription":"7 p.","startPage":"2281","endPage":"2287","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-069266","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":438637,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7VQ30RM","text":"USGS data release","linkHelpText":"Periphyton (1993-2011) and Water Quality (2014) Data for ET&C Article Entitled Spatial and Temporal Variation in Microcystins Occurrence in 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cjourney@usgs.gov","orcid":"https://orcid.org/0000-0002-2284-5851","contributorId":2617,"corporation":false,"usgs":true,"family":"Journey","given":"Celeste","email":"cjourney@usgs.gov","middleInitial":"A.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":597541,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kolpin, Dana W. 0000-0002-3529-6505 dwkolpin@usgs.gov","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":1239,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana","email":"dwkolpin@usgs.gov","middleInitial":"W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"preferred":true,"id":597542,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Van Metre, Peter C. pcvanmet@usgs.gov","contributorId":486,"corporation":false,"usgs":true,"family":"Van Metre","given":"Peter C.","email":"pcvanmet@usgs.gov","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":false,"id":597543,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":597538,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70164478,"text":"70164478 - 2016 - Aerobic biodegradation potential of endocrine disrupting chemicals in surface-water sediment at Rocky Mountains National Park, USA","interactions":[],"lastModifiedDate":"2018-08-09T12:08:22","indexId":"70164478","displayToPublicDate":"2016-02-08T09:45:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1529,"text":"Environmental Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Aerobic biodegradation potential of endocrine disrupting chemicals in surface-water sediment at Rocky Mountains National Park, USA","docAbstract":"

Endocrine disrupting chemicals (EDC) in surface water and bed sediment threaten the structure and function of aquatic ecosystems. In natural, remote, and protected surface-water environments where contaminant releases are sporadic, contaminant biodegradation is a fundamental driver of exposure concentration, timing, duration, and, thus, EDC ecological risk. Anthropogenic contaminants, including known and suspected EDC, were detected in surface water and sediment collected from 2 streams and 2 lakes in Rocky Mountains National Park (ROMO). The potential for aerobic EDC biodegradation was assessed in collected sediments using 6 14C-radiolabeled model compounds. Aerobic microbial mineralization of natural (estrone and 17β-estradiol) and synthetic (17α-ethinylestradiol) estrogen was significant at all sites. ROMO bed sediment microbial communities also effectively degraded the xenoestrogens, bisphenol-A and 4-nonylphenol. The same sediment samples exhibited little potential for aerobic biodegradation of triclocarban, however, illustrating the need to assess a wider range of contaminant compounds. The current results support recent concerns over the widespread environmental occurrence of carbanalide antibacterials, like triclocarban and triclosan, and suggest that backcountry use of products containing these compounds should be discouraged.

","language":"English","publisher":"Wiley, Inc.","doi":"10.1002/etc.3266","usgsCitation":"Bradley, P.M., Battaglin, W.A., Iwanowicz, L., Clark, J.M., and Journey, C.A., 2016, Aerobic biodegradation potential of endocrine disrupting chemicals in surface-water sediment at Rocky Mountains National Park, USA: Environmental Chemistry, v. 35, no. 5, p. 1087-1096, https://doi.org/10.1002/etc.3266.","productDescription":"10 p.","startPage":"1087","endPage":"1096","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067297","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":316641,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Rocky Mountain National Park","volume":"35","issue":"5","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-20","publicationStatus":"PW","scienceBaseUri":"56b9bc28e4b08d617f63a7df","chorus":{"doi":"10.1002/etc.3266","url":"http://dx.doi.org/10.1002/etc.3266","publisher":"Wiley-Blackwell","authors":"Bradley Paul M., Battaglin William A., Iwanowicz Luke R., Clark Jimmy M., Journey Celeste A.","journalName":"Environmental Toxicology and Chemistry","publicationDate":"3/15/2016","auditedOn":"4/19/2016"},"contributors":{"authors":[{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":597544,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Battaglin, William A. 0000-0001-7287-7096 wbattagl@usgs.gov","orcid":"https://orcid.org/0000-0001-7287-7096","contributorId":1527,"corporation":false,"usgs":true,"family":"Battaglin","given":"William","email":"wbattagl@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":597545,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Iwanowicz, Luke R. 0000-0002-1197-6178 liwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":150383,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke R. ","email":"liwanowicz@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":597546,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clark, Jimmy M. 0000-0002-3138-5738 jmclark@usgs.gov","orcid":"https://orcid.org/0000-0002-3138-5738","contributorId":4773,"corporation":false,"usgs":true,"family":"Clark","given":"Jimmy","email":"jmclark@usgs.gov","middleInitial":"M.","affiliations":[{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":597547,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Journey, Celeste A. 0000-0002-2284-5851 cjourney@usgs.gov","orcid":"https://orcid.org/0000-0002-2284-5851","contributorId":2617,"corporation":false,"usgs":true,"family":"Journey","given":"Celeste","email":"cjourney@usgs.gov","middleInitial":"A.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":597548,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70169886,"text":"70169886 - 2016 - Chaparral","interactions":[],"lastModifiedDate":"2016-04-06T15:31:06","indexId":"70169886","displayToPublicDate":"2016-02-08T09:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Chaparral","docAbstract":"

One of the most dynamic California ecosystems is chaparral. Dominated by evergreen, sclerophyllous shrubs and small trees, chaparral is the most extensive vegetation type in the state (Figure 1). The nearly impenetrable tangle of stiff branches of this unusual vegetation inhibits exploration, and as a consequence the public know little about its natural history and unique characteristics. This under-valued ecosystem is recognized instead by the threat of its extensive, high-intensity canopy-burning wildfires that characterize the dry summer and fall seasons of the state. Because urban areas frequently share borders or intermix with chaparral, societal interests often conflict with conservation of this ecosystem, and understanding its history and dynamics are a key to appreciating its importance.
In this chapter we emphasize the principal structure and dynamics of this important ecosystem. The long summer rainless period has strong impacts on all organisms and, importantly, the droughts influence the fire regime that characterizes chaparral. An ecosystem currently characterized by a specific drought and wildfire regime can expect significant impacts from climate change. Because of its dominance at lower elevations, chaparral also is frequently found at or near the boundaries of urban developments and metropolitan centers. Attempts to suppress fire also affect chaparral dynamics in the long absence of fire. The conflicts between the impacts of chaparral wildfire and human life and structures has been an aspect of California’s history since the beginning, but as development encroaches ever more into chaparral regions, the conflicts have increased. Consequently, understanding this vegetation is important not only because of its significance in understanding ecological evolution and the ecological services provided by chaparral, but also because of its direct impacts on human settlements.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Ecosystems of California","language":"English","publisher":"University of California Press","publisherLocation":"Oakland, CA","usgsCitation":"Parker, V.T., Pratt, R., and Keeley, J.E., 2016, Chaparral, chap. of Ecosystems of California, p. 479-508.","productDescription":"29 p.","startPage":"479","endPage":"508","numberOfPages":"29","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055987","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":319860,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":319564,"type":{"id":15,"text":"Index Page"},"url":"https://www.ucpress.edu/book.php?isbn=9780520278806"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"572485c4e4b0b13d3915936a","contributors":{"authors":[{"text":"Parker, V. Thomas","contributorId":167557,"corporation":false,"usgs":false,"family":"Parker","given":"V.","email":"","middleInitial":"Thomas","affiliations":[{"id":24748,"text":"San Francisco State University, San Francisco, CA","active":true,"usgs":false}],"preferred":false,"id":625459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pratt, R. Brandon","contributorId":149778,"corporation":false,"usgs":false,"family":"Pratt","given":"R. Brandon","affiliations":[{"id":17822,"text":"CA State U., Bakersfield, CA","active":true,"usgs":false}],"preferred":false,"id":625460,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":625458,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70170009,"text":"70170009 - 2016 - Evaluating a portable cylindrical bait trap to capture diamondback terrapins in salt marsh","interactions":[],"lastModifiedDate":"2018-08-09T12:04:48","indexId":"70170009","displayToPublicDate":"2016-02-06T13:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating a portable cylindrical bait trap to capture diamondback terrapins in salt marsh","docAbstract":"

Diamondback terrapins (Malaclemys terrapin) are currently in decline across much of their historical range, and demographic data on a regional scale are needed to identify where their populations are at greatest risk. Because terrapins residing in salt marshes are difficult to capture, we designed a cylindrical bait trap (CBT) that could be deployed in shallow tidal waters. From 2003 to 2006, trials were conducted with CBTs in the Chesapeake Bay, Maryland (USA) to determine terrapin sex, size, and age distribution within 3 salt marsh interior habitats—open bays, tidal guts, and broken marshes—using 15 traps/habitat. Analyses based on 791 total captures with CBTs indicate that smaller terrapins, (i.e., adult male and subadult) were more prevalent within the transecting tidal guts and broken marshes, whereas the adult females were more evenly distributed among habitats, including open bays. Subadult females made up the largest percent of catch in the CBTs deployed within the 3 marsh interior habitats. During a 12-day trial in which we compared capture performance of CBTs and modified fyke nets along open shorelines during the nesting season, fyke nets outperformed CBTs by accounting for 95.2% of the 604 terrapin captures. Although the long drift leads of the fyke nets proved more effective for intercepting along-shore travel of adult female terrapins during the nesting season, CBTs provided a more effective means of live-trapping terrapins within the shallow interior marshes.

","language":"English","publisher":"Wildlife Society","publisherLocation":"Washington, D.C.","doi":"10.1002/wsb.610","usgsCitation":"Henry, P.F., Haramis, G., and Day, D.D., 2016, Evaluating a portable cylindrical bait trap to capture diamondback terrapins in salt marsh: Wildlife Society Bulletin, v. 40, no. 1, p. 160-168, https://doi.org/10.1002/wsb.610.","productDescription":"9 p.","startPage":"160","endPage":"168","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060499","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":500067,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doaj.org/article/665f61740326408db40866d1177de199","text":"External Repository"},{"id":319727,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Glenn Martin National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.05182647705078,\n 38.017127786121506\n ],\n [\n -76.05182647705078,\n 38.012799997174575\n ],\n [\n -76.05096817016602,\n 38.00928348049952\n ],\n [\n -76.03878021240234,\n 38.00603731538592\n ],\n [\n -76.03689193725586,\n 38.00319680300937\n ],\n [\n -76.0305404663086,\n 38.00157360367438\n ],\n [\n -76.0279655456543,\n 37.99940928200236\n ],\n [\n -76.02161407470703,\n 37.995351006703814\n ],\n [\n -76.01972579956055,\n 37.99251008038448\n ],\n [\n -76.01869583129883,\n 37.990345491241776\n ],\n [\n -76.01285934448242,\n 37.990210202299636\n ],\n [\n -76.0114860534668,\n 37.9881808382286\n ],\n [\n -76.00959777832031,\n 37.98425724185128\n ],\n [\n -76.00753784179688,\n 37.98019812825676\n ],\n [\n -76.00547790527344,\n 37.97843910930459\n ],\n [\n -76.00393295288086,\n 37.97762724018384\n ],\n [\n -76.00255966186523,\n 37.973838398875515\n ],\n [\n -76.00135803222656,\n 37.97167325888967\n ],\n [\n -75.9979248046875,\n 37.96856075828048\n ],\n [\n -75.99294662475586,\n 37.96747811844137\n ],\n [\n -75.9898567199707,\n 37.970049361992054\n ],\n [\n -75.98917007446289,\n 37.97329711986601\n ],\n [\n -75.98814010620117,\n 37.9774919277906\n ],\n [\n -75.98779678344727,\n 37.98060404971996\n ],\n [\n -75.98745346069336,\n 37.982904228934125\n ],\n [\n -75.98487854003906,\n 37.98358073851119\n ],\n [\n -75.9811019897461,\n 37.98398664126368\n ],\n [\n -75.97698211669922,\n 37.98561022982037\n ],\n [\n -75.9759521484375,\n 37.990480779934416\n ],\n [\n -75.97509384155272,\n 37.99724489645483\n ],\n [\n -75.97578048706055,\n 38.00427891593761\n ],\n [\n -75.9785270690918,\n 38.00982449404459\n ],\n [\n -75.97972869873047,\n 38.01307049147015\n ],\n [\n -75.9814453125,\n 38.016451585943095\n ],\n [\n -75.98127365112305,\n 38.020373460133186\n ],\n [\n -75.98299026489256,\n 38.02348376284101\n ],\n [\n -75.98642349243164,\n 38.026458711461245\n ],\n [\n -75.99191665649414,\n 38.0282165788684\n ],\n [\n -75.99552154541016,\n 38.03105612173487\n ],\n [\n -75.99775314331055,\n 38.03457159374112\n ],\n [\n -76.00032806396484,\n 38.037410890266095\n ],\n [\n -76.0066795349121,\n 38.040385273328546\n ],\n [\n -76.01217269897461,\n 38.04173722569343\n ],\n [\n -76.01749420166016,\n 38.042142806535615\n ],\n [\n -76.02367401123047,\n 38.042142806535615\n ],\n [\n -76.02727890014648,\n 38.03984448539368\n ],\n [\n -76.03208541870117,\n 38.037546092117\n ],\n [\n -76.03414535522461,\n 38.03632926647352\n ],\n [\n -76.03860855102539,\n 38.03632926647352\n ],\n [\n -76.04324340820312,\n 38.03430117880767\n ],\n [\n -76.04633331298828,\n 38.031732187147\n ],\n [\n -76.04856491088867,\n 38.02808135979607\n ],\n [\n -76.05096817016602,\n 38.024024671574615\n ],\n [\n -76.05148315429688,\n 38.020373460133186\n ],\n [\n -76.05182647705078,\n 38.017127786121506\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"40","issue":"1","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-06","publicationStatus":"PW","scienceBaseUri":"56ff9be4e4b0328dcb7eaaa2","contributors":{"authors":[{"text":"Henry, Paula F. 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California chaparral, a sclerophyllous shrub-dominated plant community shaped by a Mediterranean-type climate and infrequent, high-intensity fire, is one of the most biodiverse and threatened habitats on Earth. Distinct forms of chaparral, distinguished by differing species composition, geography, and edaphic characteristics, can cover thousands of hectares with dense vegetation or be restricted to smaller communities identified by the presence of endemic species. To maintain the biodiversity of chaparral, protective land management actions will be required to mitigate the loss due to the impacts of human population growth, development, climate change, and increased fire frequencies.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Reference module in earth systems and environmental sciences","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-409548-9.09584-1","usgsCitation":"Halsey, R.W., and Keeley, J.E., 2016, Conservation issues: California chaparral, chap. of Reference module in earth systems and environmental sciences, https://doi.org/10.1016/B978-0-12-409548-9.09584-1.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-068857","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":320163,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"571756b0e4b0ef3b7caa5fb9","contributors":{"authors":[{"text":"Halsey, Richard W.","contributorId":145615,"corporation":false,"usgs":false,"family":"Halsey","given":"Richard","email":"","middleInitial":"W.","affiliations":[{"id":16174,"text":"California Chaparral Institute","active":true,"usgs":false}],"preferred":false,"id":623037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keeley, Jon E. 0000-0002-4564-6521 jon_keeley@usgs.gov","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":1268,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","email":"jon_keeley@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":623036,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70174139,"text":"70174139 - 2016 - Invertebrates in managed waterfowl marshes","interactions":[],"lastModifiedDate":"2016-06-28T15:55:45","indexId":"70174139","displayToPublicDate":"2016-02-06T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Invertebrates in managed waterfowl marshes","docAbstract":"

Invertebrates are an important food for breeding, migrating, and wintering waterfowl. Sparse study has been devoted to understanding the influence of waterfowl and wetland management on production of invertebrates for waterfowl foods; however, manipulation of hydrology and soils may change or enhance production. Fish can compete with waterfowl for invertebrate forage in wetlands and harm aquatic macrophytes; biomanipulation (e.g., stocking piscivores) may improve waterfowl habitat quality. Similarly, some terrestrial vertebrates (e.g., beaver (Castor canadensis)) may positively or negatively impact invertebrate communities in waterfowl habitats. Various challenges exist to wetland management for invertebrates for waterfowl, but the lack of data on factors influencing production may be the most limiting.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Invertebrates in freshwater wetlands: an international perspective on their ecology","language":"English","publisher":"Springer","doi":"10.1007/978-3-319-24978-0","usgsCitation":"Stafford, J.D., Janke, A.K., Webb, E.B., and Chipps, S.R., 2016, Invertebrates in managed waterfowl marshes, chap. of Invertebrates in freshwater wetlands: an international perspective on their ecology, p. 565-600, https://doi.org/10.1007/978-3-319-24978-0.","productDescription":"36 p.","startPage":"565","endPage":"600","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066622","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":324553,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57739fb1e4b07657d1a90cd5","contributors":{"authors":[{"text":"Stafford, Joshua D. jstafford@usgs.gov","contributorId":4267,"corporation":false,"usgs":true,"family":"Stafford","given":"Joshua","email":"jstafford@usgs.gov","middleInitial":"D.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":640985,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Janke, Adam K. 0000-0003-2781-7857","orcid":"https://orcid.org/0000-0003-2781-7857","contributorId":130959,"corporation":false,"usgs":false,"family":"Janke","given":"Adam","email":"","middleInitial":"K.","affiliations":[{"id":7176,"text":"Dept of Natl Res Mgmt, SDSU, Brookings, SD","active":true,"usgs":false}],"preferred":false,"id":641116,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":641117,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":641118,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70168669,"text":"70168669 - 2016 - Dissolved gases in hydrothermal (phreatic) and geyser eruptions at Yellowstone National Park, USA","interactions":[],"lastModifiedDate":"2019-02-01T16:14:36","indexId":"70168669","displayToPublicDate":"2016-02-05T13:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Dissolved gases in hydrothermal (phreatic) and geyser eruptions at Yellowstone National Park, USA","docAbstract":"

Multiphase and multicomponent fluid flow in the shallow continental crust plays a significant role in a variety of processes over a broad range of temperatures and pressures. The presence of dissolved gases in aqueous fluids reduces the liquid stability field toward lower temperatures and enhances the explosivity potential with respect to pure water. Therefore, in areas where magma is actively degassing into a hydrothermal system, gas-rich aqueous fluids can exert a major control on geothermal energy production, can be propellants in hazardous hydrothermal (phreatic) eruptions, and can modulate the dynamics of geyser eruptions. We collected pressurized samples of thermal water that preserved dissolved gases in conjunction with precise temperature measurements with depth in research well Y-7 (maximum depth of 70.1 m; casing to 31 m) and five thermal pools (maximum depth of 11.3 m) in the Upper Geyser Basin of Yellowstone National Park, USA. Based on the dissolved gas concentrations, we demonstrate that CO2 mainly derived from magma and N2 from air-saturated meteoric water reduce the near-surface saturation temperature, consistent with some previous observations in geyser conduits. Thermodynamic calculations suggest that the dissolved CO2 and N2 modulate the dynamics of geyser eruptions and are likely triggers of hydrothermal eruptions when recharged into shallow reservoirs at high concentrations. Therefore, monitoring changes in gas emission rate and composition in areas with neutral and alkaline chlorine thermal features could provide important information on the natural resources (geysers) and hazards (eruptions) in these areas.

","language":"English","publisher":"Geological Society of America","publisherLocation":"Boulder, CO","doi":"10.1130/G37478.1","usgsCitation":"Hurwitz, S., Clor, L., McCleskey, R.B., Nordstrom, D.K., Hunt, A.G., and Evans, W.C., 2016, Dissolved gases in hydrothermal (phreatic) and geyser eruptions at Yellowstone National Park, USA: Geology, v. 44, no. 3, p. 235-238, https://doi.org/10.1130/G37478.1.","productDescription":"4 p.","startPage":"235","endPage":"238","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-072475","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":318362,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Yellowstone National Park","volume":"44","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-05","publicationStatus":"PW","scienceBaseUri":"56cee25ce4b015c306ec5ea7","contributors":{"authors":[{"text":"Hurwitz, Shaul 0000-0001-5142-6886 shaulh@usgs.gov","orcid":"https://orcid.org/0000-0001-5142-6886","contributorId":2169,"corporation":false,"usgs":true,"family":"Hurwitz","given":"Shaul","email":"shaulh@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":621227,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clor, Laura 0000-0003-2633-5100 lclor@usgs.gov","orcid":"https://orcid.org/0000-0003-2633-5100","contributorId":150878,"corporation":false,"usgs":false,"family":"Clor","given":"Laura","email":"lclor@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":621257,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCleskey, R. Blaine 0000-0002-2521-8052 rbmccles@usgs.gov","orcid":"https://orcid.org/0000-0002-2521-8052","contributorId":147399,"corporation":false,"usgs":true,"family":"McCleskey","given":"R.","email":"rbmccles@usgs.gov","middleInitial":"Blaine","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":621258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":621259,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hunt, Andrew G. 0000-0002-3810-8610 ahunt@usgs.gov","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":1582,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew","email":"ahunt@usgs.gov","middleInitial":"G.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":621260,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Evans, William C. 0000-0001-5942-3102 wcevans@usgs.gov","orcid":"https://orcid.org/0000-0001-5942-3102","contributorId":2353,"corporation":false,"usgs":true,"family":"Evans","given":"William","email":"wcevans@usgs.gov","middleInitial":"C.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":621261,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70161832,"text":"sir20155188 - 2016 - Water balance monitoring for two bioretention gardens in Omaha, Nebraska, 2011–14","interactions":[],"lastModifiedDate":"2016-02-08T08:27:29","indexId":"sir20155188","displayToPublicDate":"2016-02-05T13:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5188","title":"Water balance monitoring for two bioretention gardens in Omaha, Nebraska, 2011–14","docAbstract":"

Bioretention gardens are used to help mitigate stormwater runoff in urban settings in an attempt to restore the hydrologic response of the developed land to a natural predevelopment response in which more water is infiltrated rather than routed directly to urban drainage networks. To better understand the performance of bioretention gardens in facilitating infiltration of stormwater in eastern Nebraska, the U.S. Geological Survey, in cooperation with the Douglas County Environmental Services and the Nebraska Environmental Trust, assessed the water balance of two bioretention gardens located in Omaha, Nebraska by monitoring the amount of stormwater entering and leaving the gardens. One garden is on the Douglas County Health Center campus, and the other garden is on the property of the Eastern Nebraska Office on Aging.

For the Douglas County Health Center, bioretention garden performance was evaluated on the basis of volume reduction by comparing total inflow volume to total outflow volume. The bioretention garden reduced inflow volumes from a minimum of 33 percent to 100 percent (a complete reduction in inflow volume) depending on the size of the event. Although variable, the percent reduction of the inflow volume tended to decrease with increasing total event rainfall. To assess how well the garden reduces stormwater peak inflow rates, peak inflows were plotted against peak outflows measured at the bioretention garden. Only 39 of the 255 events had any overflow, indicating 100 percent peak reduction in the other events. Of those 39 events having overflow, the mean peak reduction was 63 percent.

No overflow events were recorded at the bioretention garden at the Eastern Nebraska Office on Aging; therefore, data were not available for an event-based overflow analysis.Monitoring period summary of the water balance at both bio-retention gardens indicates that most of the stormwater in the bioretention gardens is stored in the subsurface.

Evapotranspiration was attributed to a small percentage of the outputs on an annual basis (3 percent at Douglas County Health Center site and 5 percent at Eastern Nebraska Office onAging site), which indicates that vegetative water uptake is not a primary factor in the water budget.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155188","collaboration":"Prepared in cooperation with Douglas County Environmental Services and the Nebraska Environmental Trust","usgsCitation":"Strauch, K.R., Rus, D.L., Holm, K.E., 2016, Water balance monitoring for two bioretention gardens in Omaha, Nebraska, 2011–14, U.S. Geological Survey Scientific Investigation Report 2015–5188, 19 p., https://dx.doi.org/10.3133/sir20155188.","productDescription":"vi, 19 p.","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-066874","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":438638,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TS1H1R","text":"USGS data release","linkHelpText":"Water Balance Monitoring Data for Two Biorentention Gardens in Omaha, Nebraska 2011-17"},{"id":315021,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5188/coverthb.jpg"},{"id":315022,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5188/sir20155188.pdf","text":"Report","size":"3.62 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5188"}],"country":"United States","state":"Nebraska","county":"Douglas County","city":"Omaha","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96,\n 41.2\n ],\n [\n -96,\n 41.3\n ],\n [\n -95.9,\n 41.3\n ],\n [\n -95.9,\n 41.2\n ],\n [\n -96,\n 41.2\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, USGS Nebraska Water Science Center
5231 South 19th Street
Lincoln, Nebraska 68512

http://ne.water.usgs.gov/

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2016-01-29","noUsgsAuthors":false,"publicationDate":"2016-01-29","publicationStatus":"PW","scienceBaseUri":"56b5c7a8e4b0cc7999810d4c","contributors":{"authors":[{"text":"Strauch, Kellan R. 0000-0002-7218-2099 kstrauch@usgs.gov","orcid":"https://orcid.org/0000-0002-7218-2099","contributorId":1006,"corporation":false,"usgs":true,"family":"Strauch","given":"Kellan","email":"kstrauch@usgs.gov","middleInitial":"R.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":587879,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rus, David L. 0000-0003-3538-7826 dlrus@usgs.gov","orcid":"https://orcid.org/0000-0003-3538-7826","contributorId":881,"corporation":false,"usgs":true,"family":"Rus","given":"David","email":"dlrus@usgs.gov","middleInitial":"L.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":590152,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Holm, Kent E.","contributorId":156289,"corporation":false,"usgs":false,"family":"Holm","given":"Kent","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":597395,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70170133,"text":"70170133 - 2016 - Ascent ability of brown trout, Salmo trutta, and two Iberian cyprinids − Iberian barbel, Luciobarbus bocagei, and northern straight-mouth nase, Pseudochondrostoma duriense − in a vertical slot fishway","interactions":[],"lastModifiedDate":"2016-04-08T09:17:23","indexId":"70170133","displayToPublicDate":"2016-02-05T10:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2585,"text":"Knowledge and Management of Aquatic Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Ascent ability of brown trout, Salmo trutta, and two Iberian cyprinids − Iberian barbel, Luciobarbus bocagei, and northern straight-mouth nase, Pseudochondrostoma duriense − in a vertical slot fishway","docAbstract":"

Passage performance of brown trout (Salmo trutta), Iberian barbel (Luciobarbus bocagei), and northern straight-mouth nase (Pseudochondrostoma duriense) was investigated in a vertical slot fishway in the Porma River (Duero River basin, Spain) using PIT telemetry. We analysed the effects of different fishway discharges on motivation and passage success. Both cyprinid species ascended the fishway easily, performing better than the trout despite their theoretically weaker swimming performance. Fishway discharge affected fish motivation although it did not clearly influence passage success. Observed results can guide design and operation criteria of vertical slot fishways for native Iberian fish.

","language":"English","publisher":"EDP Sciences","publisherLocation":"Les Ulis, France","doi":"10.1051/kmae/2015043","usgsCitation":"Sanz-Ronda, F.J., Bravo-Cordoba, F., Fuentes-Perez, J., and Castro-Santos, T.R., 2016, Ascent ability of brown trout, Salmo trutta, and two Iberian cyprinids − Iberian barbel, Luciobarbus bocagei, and northern straight-mouth nase, Pseudochondrostoma duriense − in a vertical slot fishway: Knowledge and Management of Aquatic Ecosystems, v. 417, no. 10, 9 p., https://doi.org/10.1051/kmae/2015043.","productDescription":"9 p.","numberOfPages":"9","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066020","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":471256,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1051/kmae/2015043","text":"Publisher Index Page"},{"id":319898,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Spain","county":"Castilla y León region","otherGeospatial":"Porma River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -5.381755828857422,\n 42.675494443387045\n ],\n [\n -5.381755828857422,\n 42.69136285031433\n ],\n [\n -5.352959632873535,\n 42.69136285031433\n ],\n [\n -5.352959632873535,\n 42.675494443387045\n ],\n [\n -5.381755828857422,\n 42.675494443387045\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"417","issue":"10","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-05","publicationStatus":"PW","scienceBaseUri":"572485bbe4b0b13d3915932e","contributors":{"authors":[{"text":"Sanz-Ronda, Fco. Javier","contributorId":168519,"corporation":false,"usgs":false,"family":"Sanz-Ronda","given":"Fco.","email":"","middleInitial":"Javier","affiliations":[{"id":25320,"text":"Universidad de Valladolid, Palencia, Spain","active":true,"usgs":false}],"preferred":false,"id":626252,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bravo-Cordoba, F.J.","contributorId":168520,"corporation":false,"usgs":false,"family":"Bravo-Cordoba","given":"F.J.","affiliations":[{"id":25320,"text":"Universidad de Valladolid, Palencia, Spain","active":true,"usgs":false}],"preferred":false,"id":626253,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fuentes-Perez, J.F.","contributorId":168521,"corporation":false,"usgs":false,"family":"Fuentes-Perez","given":"J.F.","email":"","affiliations":[{"id":25320,"text":"Universidad de Valladolid, Palencia, Spain","active":true,"usgs":false}],"preferred":false,"id":626254,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Castro-Santos, Theodore R. 0000-0003-2575-9120 tcastrosantos@usgs.gov","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":3321,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","email":"tcastrosantos@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":626251,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70161893,"text":"sir20165002 - 2016 - Sediment loads and transport at constructed chutes along the Missouri River - Upper Hamburg Chute near Nebraska City, Nebraska, and Kansas Chute near Peru, Nebraska","interactions":[],"lastModifiedDate":"2016-02-04T11:50:10","indexId":"sir20165002","displayToPublicDate":"2016-02-04T11:30:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2016-5002","title":"Sediment loads and transport at constructed chutes along the Missouri River - Upper Hamburg Chute near Nebraska City, Nebraska, and Kansas Chute near Peru, Nebraska","docAbstract":"

The U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers, monitored suspended sediment within constructed Missouri River chutes during March through October 2012. Chutes were constructed at selected river bends by the U.S. Army Corps of Engineers to help mitigate aquatic habitat lost through the creation and maintenance of the navigation channel on the Missouri River. The restoration and development of chutes is one method for creating shallow-water habitat within the Missouri River to meet requirements established by the amended 2000 Biological Opinion. Understanding geomorphic channel-evolution processes and sediment transport is important for the design of chutes, monitoring and maintenance of existing chutes, and characterizing the habitat that the chutes provide. This report describes the methods used to monitor suspended sediment at two Missouri River chutes and presents the results of the data analysis to help understand the suspended-sediment characteristics of each chute and the effect the chutes have on the Missouri River. Upper Hamburg chute, near Nebraska City, Nebraska, and Kansas chute, near Peru, Nebraska, were selected for monitoring. At each study site, monthly discrete samples were collected from April through October in the Missouri River main-channel transects upstream from the chute inlet, downstream from the chute outlet, at the outlet (downstream transect) of both chutes, and at the inlet (upstream transect) of Kansas chute. In addition, grab samples from all chute sampling locations were collected using autosamplers. Suspended-sediment concentration (SSC) and grain-size metrics were determined for all samples (discrete and grab). Continuous water-quality monitors recorded turbidity and water temperature at 15-minute intervals at the three chute sampling locations. Two acoustic Doppler velocimeters, one within each chute, measured water depth and current velocities continuously. The depth and velocity data were used to estimate streamflow within each chute. The sampling design was developed to understand the suspended-sediment differences within each chute and between the chute and the Missouri River main channel during discrete sampling. The sampling design also allowed for site-specific surrogate relations between SSC and turbidity to be developed, which could be used to compute real-time estimates of SSC and sediment loads within the chutes. Real-time estimates of SSC and sediment loads enable a better understanding of sediment transport within the chutes during times when physical samples are not collected, including periods of high flow.

\n

High flows during the summer of 2011 resulted in substantial alterations to both studied chutes; therefore, the U.S. Army Corps of Engineers repaired and modified both chutes during 2012. These unforeseen repairs and modifications within the chutes added uncertainty to the analysis because concentrations were altered by construction equipment and flow alteration.

\n

Daily suspended-sediment and suspended-silt loads were estimated based on surrogate relations with turbidity. A linear regression was used to estimate equal-width increment (EWI)-equivalent SSC from autosampler SSC before using the model-calibration dataset to determine the best-fit model for prediction of SSC from the turbidity and, in some cases, discharge. Correlation between suspended-sand concentration (SSandC) in EWI samples and concurrent samples collected by an autosampler was low; therefore, SSandC was excluded from development of surrogate relations because a large part of the calibration dataset was from autosamples. Instead, SSandC was estimated as SSC minus suspended-silt-clay concentration (SSiltC). At all sites, the best-fit models included the base-10 logarithm of concentration and turbidity, and at Kansas chute upstream, the base-10 logarithm of streamflow was also included in the best-fit models. These surrogate models were used to estimate continuous time series of SSC and SSiltC. Estimated concentrations of suspended sediment were used to estimate instantaneous and daily loads for total suspended sediment, suspended silt-clay, and suspended sand. Estimated daily suspended-sediment loads were not significantly different between upstream and downstream transects within the Kansas chute, and most individual daily loads within the chute were not significantly different between upstream and downstream transects when evaluated using overlap in daily 95-percent confidence intervals. The comparison of daily load values for upstream and downstream chute transects, as estimated from turbidity-based surrogate models for Kansas chute, documents the daily dynamic nature of sediment transport within the chute with a temporal resolution that is not practical with discrete suspended-sediment sampling alone.

\n

Comparisons of concentrations and loads from EWI samples collected from different transects within a study site resulted in few significant differences, but comparisons are limited by small sample sizes and large within-transect variability. When comparing the Missouri River upstream transect to the chute inlet transect, similar results were determined in 2012 as were determined in 2008—the chute inlet affected the amount of sediment entering the chute from the main channel. In addition, the Kansas chute is potentially affecting the sediment concentration within the Missouri River main channel, but small sample size and construction activities within the chute limit the ability to fully understand either the effect of the chute in 2012 or the effect of the chute on the main channel during a year without construction. Finally, some differences in SSC were detected between the Missouri River upstream transects and the chute downstream transects; however, the effect of the chutes on the Missouri River main-channel sediment transport was difficult to isolate because of construction activities and sampling variability.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165002","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Omaha District","usgsCitation":"Densmore, B.K., Rus, D.L., Moser, M.T., Hall, B.M., and Andersen, M.J., 2016, Sediment loads and transport at constructed chutes along the Missouri River—Upper Hamburg chute near Nebraska City, Nebraska, and Kansas chute near Peru, Nebraska, 2012: U.S. Geological Survey Scientific Investigations Report 2016–5002, 47 p. https://dx.doi.org/10.3133/sir20165002.","productDescription":"vii, 47 p.","numberOfPages":"60","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-064671","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":316553,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5002/coverthb.jpg"},{"id":316554,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5002/sir20165002.pdf","text":"Report","size":"20.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5002"}],"country":"United States","state":"Nebraska","city":"Nebraska City, Peru","otherGeospatial":"Missouri River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.78601837158203,\n 40.564937785967224\n ],\n [\n -95.78601837158203,\n 40.61681920737131\n ],\n [\n -95.74241638183592,\n 40.61681920737131\n ],\n [\n -95.74241638183592,\n 40.564937785967224\n ],\n [\n -95.78601837158203,\n 40.564937785967224\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.73881149291991,\n 40.513277131087484\n ],\n [\n -95.73881149291991,\n 40.53050177574321\n ],\n [\n -95.70259094238281,\n 40.53050177574321\n ],\n [\n -95.70259094238281,\n 40.513277131087484\n ],\n [\n -95.73881149291991,\n 40.513277131087484\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, USGS Nebraska Water Science Center
5231 South 19th Street
Lincoln, NE 68512

http://ne.water.usgs.gov

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2016-02-04","noUsgsAuthors":false,"publicationDate":"2016-02-04","publicationStatus":"PW","scienceBaseUri":"56b47627e4b0cc7999800b9a","contributors":{"authors":[{"text":"Densmore, Brenda K. 0000-0003-2429-638X bdensmore@usgs.gov","orcid":"https://orcid.org/0000-0003-2429-638X","contributorId":4896,"corporation":false,"usgs":true,"family":"Densmore","given":"Brenda","email":"bdensmore@usgs.gov","middleInitial":"K.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":588054,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rus, David L. 0000-0003-3538-7826 dlrus@usgs.gov","orcid":"https://orcid.org/0000-0003-3538-7826","contributorId":881,"corporation":false,"usgs":true,"family":"Rus","given":"David","email":"dlrus@usgs.gov","middleInitial":"L.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":588055,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moser, Matthew T.","contributorId":13329,"corporation":false,"usgs":true,"family":"Moser","given":"Matthew T.","affiliations":[],"preferred":false,"id":588056,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hall, Brent M. 0000-0003-3815-5158 bhall@usgs.gov","orcid":"https://orcid.org/0000-0003-3815-5158","contributorId":4547,"corporation":false,"usgs":true,"family":"Hall","given":"Brent","email":"bhall@usgs.gov","middleInitial":"M.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":588057,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Andersen, Michael J. 0009-0006-5600-6032 mjanders@usgs.gov","orcid":"https://orcid.org/0009-0006-5600-6032","contributorId":1442,"corporation":false,"usgs":true,"family":"Andersen","given":"Michael","email":"mjanders@usgs.gov","middleInitial":"J.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":588058,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70176566,"text":"70176566 - 2016 - Estimating time-dependent connectivity in marine systems","interactions":[],"lastModifiedDate":"2016-09-21T16:39:46","indexId":"70176566","displayToPublicDate":"2016-02-04T00:00:00","publicationYear":"2016","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":"Estimating time-dependent connectivity in marine systems","docAbstract":"

Hydrodynamic connectivity describes the sources and destinations of water parcels within a domain over a given time. When combined with biological models, it can be a powerful concept to explain the patterns of constituent dispersal within marine ecosystems. However, providing connectivity metrics for a given domain is a three-dimensional problem: two dimensions in space to define the sources and destinations and a time dimension to evaluate connectivity at varying temporal scales. If the time scale of interest is not predefined, then a general approach is required to describe connectivity over different time scales. For this purpose, we have introduced the concept of a “retention clock” that highlights the change in connectivity through time. Using the example of connectivity between protected areas within Barnegat Bay, New Jersey, we show that a retention clock matrix is an informative tool for multitemporal analysis of connectivity.

","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2015GL066888","usgsCitation":"Defne, Z., Ganju, N.K., and Aretxabaleta, A., 2016, Estimating time-dependent connectivity in marine systems: Geophysical Research Letters, v. 43, no. 3, p. 1193-1201, https://doi.org/10.1002/2015GL066888.","productDescription":"9 p.","startPage":"1193","endPage":"1201","ipdsId":"IP-068617","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471257,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2015gl066888","text":"Publisher Index Page"},{"id":328842,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"3","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-04","publicationStatus":"PW","scienceBaseUri":"57f7c6cfe4b0bc0bec09cb72","contributors":{"authors":[{"text":"Defne, Zafer 0000-0003-4544-4310 zdefne@usgs.gov","orcid":"https://orcid.org/0000-0003-4544-4310","contributorId":5520,"corporation":false,"usgs":true,"family":"Defne","given":"Zafer","email":"zdefne@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":649215,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ganju, Neil K. 0000-0002-1096-0465 nganju@usgs.gov","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":174763,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil","email":"nganju@usgs.gov","middleInitial":"K.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":649216,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aretxabaleta, Alfredo 0000-0002-9914-8018 aaretxabaleta@usgs.gov","orcid":"https://orcid.org/0000-0002-9914-8018","contributorId":140090,"corporation":false,"usgs":true,"family":"Aretxabaleta","given":"Alfredo","email":"aaretxabaleta@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":649217,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70164413,"text":"70164413 - 2016 - Dietary uptake of Cu sorbed to hydrous iron oxide is linked to cellular toxicity and feeding inhibition in a benthic grazer","interactions":[],"lastModifiedDate":"2018-08-07T12:09:29","indexId":"70164413","displayToPublicDate":"2016-02-03T15:30:00","publicationYear":"2016","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":"Dietary uptake of Cu sorbed to hydrous iron oxide is linked to cellular toxicity and feeding inhibition in a benthic grazer","docAbstract":"

Whereas feeding inhibition caused by exposure to contaminants has been extensively documented, the underlying mechanism(s) are less well understood. For this study, the behavior of several key feeding processes, including ingestion rate and assimilation efficiency, that affect the dietary uptake of Cu were evaluated in the benthic grazer Lymnaea stagnalis following 4–5 h exposures to Cu adsorbed to synthetic hydrous ferric oxide (Cu–HFO). The particles were mixed with a cultured alga to create algal mats with Cu exposures spanning nearly 3 orders of magnitude at variable or constant Fe concentrations, thereby allowing first order and interactive effects of Cu and Fe to be evaluated. Results showed that Cu influx rates and ingestion rates decreased as Cu exposures of the algal mat mixture exceeded 104 nmol/g. Ingestion rate appeared to exert primary control on the Cu influx rate. Lysosomal destabilization rates increased directly with Cu influx rates. At the highest Cu exposure where the incidence of lysosomal membrane damage was greatest (51%), the ingestion rate was suppressed 80%. The findings suggested that feeding inhibition was a stress response emanating from excessive uptake of dietary Cu and cellular toxicity.

","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.5b04755","usgsCitation":"Cain, D.J., Croteau, M.N., Fuller, C.C., and Ringwood, A.H., 2016, Dietary uptake of Cu sorbed to hydrous iron oxide is linked to cellular toxicity and feeding inhibition in a benthic grazer: Environmental Science & Technology, v. 50, no. 3, p. 1552-1560, https://doi.org/10.1021/acs.est.5b04755.","productDescription":"9 p.","startPage":"1552","endPage":"1560","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071269","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":316542,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"3","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-13","publicationStatus":"PW","scienceBaseUri":"56b324aae4b0cc79997f04da","chorus":{"doi":"10.1021/acs.est.5b04755","url":"http://dx.doi.org/10.1021/acs.est.5b04755","publisher":"American Chemical Society (ACS)","authors":"Cain Daniel J., Croteau Marie-Noële, Fuller Christopher C., Ringwood Amy H.","journalName":"Environmental Science & Technology","publicationDate":"2/2/2016"},"contributors":{"authors":[{"text":"Cain, Daniel J. 0000-0002-3443-0493 djcain@usgs.gov","orcid":"https://orcid.org/0000-0002-3443-0493","contributorId":1784,"corporation":false,"usgs":true,"family":"Cain","given":"Daniel","email":"djcain@usgs.gov","middleInitial":"J.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":597179,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Croteau, Marie Noele 0000-0003-0346-3580 mcroteau@usgs.gov","orcid":"https://orcid.org/0000-0003-0346-3580","contributorId":895,"corporation":false,"usgs":true,"family":"Croteau","given":"Marie","email":"mcroteau@usgs.gov","middleInitial":"Noele","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":597180,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fuller, Christopher C. 0000-0002-2354-8074 ccfuller@usgs.gov","orcid":"https://orcid.org/0000-0002-2354-8074","contributorId":1831,"corporation":false,"usgs":true,"family":"Fuller","given":"Christopher","email":"ccfuller@usgs.gov","middleInitial":"C.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":597181,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ringwood, Amy H.","contributorId":156285,"corporation":false,"usgs":false,"family":"Ringwood","given":"Amy","email":"","middleInitial":"H.","affiliations":[{"id":7043,"text":"University of North Carolina","active":true,"usgs":false}],"preferred":false,"id":597182,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70207057,"text":"70207057 - 2016 - Climate change implications for tropical islands: Interpolating and interpreting statistically downscaled GCM projections for management and planning","interactions":[],"lastModifiedDate":"2019-12-04T15:26:55","indexId":"70207057","displayToPublicDate":"2016-02-03T15:19:57","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5202,"text":"Journal of Applied Meteorology and Climatology","onlineIssn":"1558-8432","printIssn":"1558-8424","active":true,"publicationSubtype":{"id":10}},"title":"Climate change implications for tropical islands: Interpolating and interpreting statistically downscaled GCM projections for management and planning","docAbstract":"

The potential ecological and economic effects of climate change for tropical islands were studied using output from 12 statistically downscaled general circulation models (GCMs) taking Puerto Rico as a test case. Two model selection/model averaging strategies were used: the average of all available GCMs and the average of the models that are able to reproduce the observed large-scale dynamics that control precipitation over the Caribbean. Five island-wide and multidecadal averages of daily precipitation and temperature were estimated by way of a climatology-informed interpolation of the site-specific downscaled climate model output. Annual cooling degree-days (CDD) were calculated as a proxy index for air-conditioning energy demand, and two measures of annual no-rainfall days were used as drought indices. Holdridge life zone classification was used to map the possible ecological effects of climate change. Precipitation is predicted to decline in both model ensembles, but the decrease was more severe in the “regionally consistent” models. The precipitation declines cause gradual and linear increases in drought intensity and extremes. The warming from the 1960–90 period to the 2071–99 period was 4.6°–9°C depending on the global emission scenarios and location. This warming may cause increases in CDD, and consequently increasing energy demands. Life zones may shift from wetter to drier zones with the possibility of losing most, if not all, of the subtropical rain forests and extinction risks to rain forest specialists or obligates.

","language":"English","publisher":"American Meteorological Society","doi":"10.1175/JAMC-D-15-0182.1","usgsCitation":"Henareh Khalyani, A., Gould, W.A., Harmsen, E., Terando, A.J., Quinones, M., and Collazo, J., 2016, Climate change implications for tropical islands: Interpolating and interpreting statistically downscaled GCM projections for management and planning: Journal of Applied Meteorology and Climatology, v. 55, no. 2, p. 265-282, https://doi.org/10.1175/JAMC-D-15-0182.1.","productDescription":"18 p.","startPage":"265","endPage":"282","ipdsId":"IP-069429","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":471258,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/jamc-d-15-0182.1","text":"Publisher Index Page"},{"id":369918,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto Rico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -67.4066162109375,\n 17.814071002942764\n ],\n [\n -65.56915283203125,\n 17.814071002942764\n ],\n [\n -65.56915283203125,\n 18.609807415471877\n ],\n [\n -67.4066162109375,\n 18.609807415471877\n ],\n [\n -67.4066162109375,\n 17.814071002942764\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"55","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Henareh Khalyani, Azad","contributorId":194189,"corporation":false,"usgs":false,"family":"Henareh Khalyani","given":"Azad","email":"","affiliations":[],"preferred":false,"id":776658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gould, William A.","contributorId":103535,"corporation":false,"usgs":true,"family":"Gould","given":"William","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":776659,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harmsen, Eric 0000-0003-1462-1281","orcid":"https://orcid.org/0000-0003-1462-1281","contributorId":212206,"corporation":false,"usgs":false,"family":"Harmsen","given":"Eric","email":"","affiliations":[{"id":38459,"text":"Department of Agricultural and Biosystems Engineering, University of Puerto Rico","active":true,"usgs":false}],"preferred":false,"id":776660,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Terando, Adam J. 0000-0002-9280-043X aterando@usgs.gov","orcid":"https://orcid.org/0000-0002-9280-043X","contributorId":173447,"corporation":false,"usgs":true,"family":"Terando","given":"Adam","email":"aterando@usgs.gov","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":776661,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Quinones, Maya","contributorId":221026,"corporation":false,"usgs":false,"family":"Quinones","given":"Maya","email":"","affiliations":[],"preferred":false,"id":776662,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Collazo, Jaime A.","contributorId":191545,"corporation":false,"usgs":false,"family":"Collazo","given":"Jaime A.","affiliations":[],"preferred":false,"id":776663,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70159631,"text":"ofr20151219 - 2016 - A seasonal comparison of surface sediment characteristics in Chincoteague Bay, Maryland and Virginia, USA","interactions":[],"lastModifiedDate":"2025-05-13T16:52:04.747944","indexId":"ofr20151219","displayToPublicDate":"2016-02-03T14:45:00","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":"2015-1219","title":"A seasonal comparison of surface sediment characteristics in Chincoteague Bay, Maryland and Virginia, USA","docAbstract":"

Scientists from the U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center conducted a seasonal collection of surficial sediments from Chincoteague Bay and Tom's Cove, between Assateague Island and the Delmarva Peninsula in late March/early April 2014 and October 2014. The sampling efforts were part of a larger U.S. Geological Survey study to assess the effects of storm events on sediment distribution in back-barrier environments of the United States. By sampling during the spring and fall, a more complete understanding of seasonal variability in the area can help determine baseline conditions. The objective of this study was to characterize the sediments of Chincoteague Bay in order to create baseline conditions to incorporate with the hydrodynamic and sediment transport models used to evaluate pre- and post-storm change and compare with future field measurements.

\n

This report is an archive for sedimentological data derived from the surface sediment of Chincoteague Bay. Data are available for the spring (March/April 2014) and fall (October 2014) samples collected. Downloadable data are provided as Excel spreadsheets and as JPEG files. Additional files include ArcGIS shapefiles of the sampling sites, detailed results of sediment grain-size analyses, and formal Federal Geographic Data Committee metadata (data downloads).

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151219","usgsCitation":"Ellis, A.M., Marot, M.E., Wheaton, C.J., Bernier, J.C., and Smith, C.G., 2015, A seasonal comparison of surface sediment characteristics in Chincoteague Bay, Maryland and Virginia, USA: U.S. Geological Survey Open-File Report 2015-1219, https://dx.doi.org/10.3133/ofr20151219.","productDescription":"HTML Document","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-065701","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":315341,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1219","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2015-1219"},{"id":316535,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Maryland, Virginia","otherGeospatial":"Chincoteague Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.19317626953125,\n 38.28778081436419\n ],\n [\n -75.50628662109375,\n 37.88677656291023\n ],\n [\n -75.3717041015625,\n 37.83364941345968\n ],\n [\n -75.17532348632812,\n 38.09241741843045\n ],\n [\n -75.09292602539062,\n 38.272688535980976\n ],\n [\n -75.19317626953125,\n 38.28778081436419\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

St. Petersburg Coastal and Marine Science Center
U.S. Geological Survey
600 4th Street South
St. Petersburg, FL 33701
(727) 502-8000
http://coastal.er.usgs.gov/

","tableOfContents":"","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"publishedDate":"2016-02-03","noUsgsAuthors":false,"publicationDate":"2016-02-03","publicationStatus":"PW","scienceBaseUri":"56b324a7e4b0cc79997f04cb","contributors":{"authors":[{"text":"Ellis, Alisha M. 0000-0002-1785-020X aellis@usgs.gov","orcid":"https://orcid.org/0000-0002-1785-020X","contributorId":149846,"corporation":false,"usgs":true,"family":"Ellis","given":"Alisha M.","email":"aellis@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":579792,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marot, Marci E. 0000-0003-0504-315X mmarot@usgs.gov","orcid":"https://orcid.org/0000-0003-0504-315X","contributorId":2078,"corporation":false,"usgs":true,"family":"Marot","given":"Marci","email":"mmarot@usgs.gov","middleInitial":"E.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":579793,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wheaton, Cathryn J. cwheaton@usgs.gov","contributorId":149847,"corporation":false,"usgs":true,"family":"Wheaton","given":"Cathryn J.","email":"cwheaton@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":579794,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bernier, Julie 0000-0002-9918-5353 jbernier@usgs.gov","orcid":"https://orcid.org/0000-0002-9918-5353","contributorId":3549,"corporation":false,"usgs":true,"family":"Bernier","given":"Julie","email":"jbernier@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":579795,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Christopher G. 0000-0002-8075-4763 cgsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-8075-4763","contributorId":3410,"corporation":false,"usgs":true,"family":"Smith","given":"Christopher","email":"cgsmith@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":579796,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70162658,"text":"fs20153088 - 2016 - The 3D Elevation Program: summary for Puerto Rico","interactions":[],"lastModifiedDate":"2017-03-29T11:52:38","indexId":"fs20153088","displayToPublicDate":"2016-02-03T14:00:00","publicationYear":"2016","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":"2015-3088","title":"The 3D Elevation Program: summary for Puerto Rico","docAbstract":"

Elevation data are essential to a broad range of applications, including forest resources management, wildlife and habitat management, scientific research, national security, recreation, and many others. For the Commonwealth of Puerto Rico, elevation data are critical for flood risk management, landslide mitigation, natural resources conservation, sea level rise and subsidence, coastal zone management, infrastructure and construction management, and other business uses. Today, high-density light detection and ranging (lidar) data are the primary sources for deriving elevation models and other datasets. Federal, State, Tribal, U.S. territorial, and local agencies work in partnership to (1) replace data that are older and of lower quality and (2) provide coverage where publicly accessible data do not exist. A joint goal of State and Federal partners is to acquire consistent, statewide coverage to support existing and emerging applications enabled by lidar data.

The National Enhanced Elevation Assessment evaluated multiple elevation data acquisition options to determine the optimal data quality and data replacement cycle relative to cost to meet the identified requirements of the user community. The evaluation demonstrated that lidar acquisition at quality level 2 for the conterminous United States, Hawaii, and selected U.S. territories, and quality level 5 interferometric synthetic aperture radar (IfSAR) data for Alaska, all with a 6- to 10-year acquisition cycle, provided the highest benefit/cost ratios. The 3D Elevation Program (3DEP) initiative selected an 8-year acquisition cycle for the respective quality levels. 3DEP, managed by the U.S. Geological Survey (USGS), the Office of Management and Budget Circular A‒16 lead agency for terrestrial elevation data, responds to the growing need for high-quality topographic data and a wide range of other three-dimensional (3D) representations of the Nation’s natural and constructed features.

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Director, National Geospatial Program
U.S. Geological Survey
511 National Center
Reston, VA 20192
http://www.usgs.gov/ngpo/
http://nationalmap.gov/3DEP/

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