West Nile virus (WNV) was first detected in New York in 1999 and, during its expansion across the continental US, southern Canada, and Mexico, members of the Corvidae (ravens, crows, magpies, and jays) were frequently infected and highly susceptible to the virus. As part of a behavioral study of Steller's Jays (Cyanocitta stelleri) conducted from 2011–2014 in the coastal California counties of San Mateo and Santa Cruz, 380 Steller's Jays were captured and tested for antibodies to WNV. Using the wild bird IgG enzyme linked immunoassay, we failed to detect antibodies to WNV, indicating either that there was no previous exposure to the virus or that exposed birds had died.
","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2016-06-139","usgsCitation":"West, E., Hofmeister, E.K., and Peery, M., 2017, Serosurvey for West Nile virus antibodies in Steller's Jays (Cyanocitta stelleri) captured in coastal California: Journal of Wildlife Diseases, v. 53, no. 3, p. 582-585, https://doi.org/10.7589/2016-06-139.","productDescription":"4 p.","startPage":"582","endPage":"585","ipdsId":"IP-076324","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":341921,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","volume":"53","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"592fd634e4b0e9bd0ea896a9","contributors":{"authors":[{"text":"West, Elena","contributorId":192514,"corporation":false,"usgs":false,"family":"West","given":"Elena","email":"","affiliations":[],"preferred":false,"id":696700,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hofmeister, Erik K. 0000-0002-6360-3912 ehofmeister@usgs.gov","orcid":"https://orcid.org/0000-0002-6360-3912","contributorId":3230,"corporation":false,"usgs":true,"family":"Hofmeister","given":"Erik","email":"ehofmeister@usgs.gov","middleInitial":"K.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":696699,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peery, M. Zach","contributorId":192515,"corporation":false,"usgs":false,"family":"Peery","given":"M. Zach","affiliations":[],"preferred":false,"id":696701,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70188111,"text":"70188111 - 2017 - Addressing wild turkey population declines using structured decision making","interactions":[],"lastModifiedDate":"2017-05-31T13:54:00","indexId":"70188111","displayToPublicDate":"2017-05-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Addressing wild turkey population declines using structured decision making","docAbstract":"We present a case study from New York, USA, of the use of structured decision making (SDM) to identify fall turkey harvest regulations that best meet stakeholder objectives, in light of recent apparent declines in abundance of wild turkeys in the northeastern United States. We used the SDM framework to incorporate the multiple objectives associated with turkey hunting, stakeholder desires, and region-specific ecological and environmental factors that could influence fall harvest. We identified a set of 4 fall harvest regulations, composed of different season lengths and bag limits, and evaluated their relative achievement of the objectives. We used a stochastic turkey population model, statistical modeling, and expert elicitation to evaluate the consequences of each harvest regulation on each of the objectives. We conducted a statewide mail survey of fall turkey hunters in New York to gather the necessary information to evaluate tradeoffs among multiple objectives associated with hunter satisfaction. The optimal fall harvest regulation was a 2-week season and allowed for the harvest of 1 bird/hunter. This regulation was the most conservative of those evaluated, reflecting the concerns about recent declines in turkey abundance among agency wildlife biologists and the hunting public. Depending on the region of the state, the 2-week, 1-bird regulation was predicted to result in 7–32% more turkeys on the landscape after 5 years. The SDM process provided a transparent framework for setting fall turkey harvest regulations and reduced potential stakeholder conflict by explicitly taking the multiple objectives of different stakeholder groups into account.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21220","usgsCitation":"Robinson, K., Fuller, A.K., Schiavone, M.V., Swift, B.L., Diefenbach, D.R., Siemer, W.F., and Decker, D.J., 2017, Addressing wild turkey population declines using structured decision making: Journal of Wildlife Management, v. 81, no. 3, p. 393-405, https://doi.org/10.1002/jwmg.21220.","productDescription":"13 p.","startPage":"393","endPage":"405","ipdsId":"IP-074157","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":341946,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New 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Leetown","active":true,"usgs":true}],"preferred":true,"id":696780,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schiavone, Michael V.","contributorId":30064,"corporation":false,"usgs":false,"family":"Schiavone","given":"Michael","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":696790,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swift, Bryan L.","contributorId":11433,"corporation":false,"usgs":false,"family":"Swift","given":"Bryan","email":"","middleInitial":"L.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":696791,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Diefenbach, Duane R. 0000-0001-5111-1147 drd11@usgs.gov","orcid":"https://orcid.org/0000-0001-5111-1147","contributorId":5235,"corporation":false,"usgs":true,"family":"Diefenbach","given":"Duane","email":"drd11@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":696792,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Siemer, William F.","contributorId":192551,"corporation":false,"usgs":false,"family":"Siemer","given":"William","email":"","middleInitial":"F.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":696793,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Decker, Daniel J.","contributorId":114044,"corporation":false,"usgs":true,"family":"Decker","given":"Daniel","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":696794,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70188100,"text":"70188100 - 2017 - Natural infections with pigeon paramyxovirus serotype 1: Pathologic changes in Eurasian collared-doves (Streptopelia decaocto) and rock pigeons (Columba livia) in the United States","interactions":[],"lastModifiedDate":"2023-06-20T15:59:37.923166","indexId":"70188100","displayToPublicDate":"2017-05-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3687,"text":"Veterinary Pathology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Natural infections with pigeon paramyxovirus serotype 1: Pathologic changes in Eurasian collared-doves (Streptopelia decaocto) and rock pigeons (Columba livia) in the United States","title":"Natural infections with pigeon paramyxovirus serotype 1: Pathologic changes in Eurasian collared-doves (Streptopelia decaocto) and rock pigeons (Columba livia) in the United States","docAbstract":"Pigeon paramyxovirus serotype 1 (PPMV-1) is a globally distributed, virulent member of the avian paramyxovirus serotype 1 serogroup that causes mortality in columbiformes and poultry. Following introduction into the United States in the mid-1980s, PPMV-1 rapidly spread causing numerous mortality events in Eurasian collared-doves (Streptopelia decaocto) (ECDOs) and rock pigeons (Columba livia) (ROPIs). The investigators reviewed pathological findings of 70 naturally infected, free-ranging columbiforms from 25 different mortality events in the United States. Immunohistochemistry targeting PPMV-1 nucleoprotein was used to determine the tissue distribution of the virus in a subset of 17 birds from 10 of the studied outbreaks. ECDOs (61 birds) and ROPIs (9 birds) were the only species in which PPMV-1-associated disease was confirmed by viral isolation and presence of histologic lesions. Acute to subacute tubulointerstitial nephritis and necrotizing pancreatitis were the most frequent histologic lesions, with immunolabeling of viral antigen in renal tubular epithelial cells and pancreatic acinar epithelium. Lymphoid depletion of bursa of Fabricius and spleen was common, but the presence of viral antigen in these organs was inconsistent among infected birds. Hepatocellular necrosis was occasionally present with immunolabeling of hypertrophic Kupffer cells, and immunopositive eosinophilic intracytoplasmic inclusion bodies were present in hepatocytes of 1 ECDO. Immunopositive lymphocytic choroiditis was present in 1 ECDO, while lymphocytic meningoencephalitis was frequent in ROPIs in absence of immunolabeling. This study demonstrates widespread presence of PPMV-1 antigen in association with histologic lesions, confirming the lethal potential of this virus in these particular bird species.
","language":"English","publisher":"SAGE Journals","doi":"10.1177/0300985817695782","usgsCitation":"Isidoro Ayza, M., Afonso, C., Stanton, J., Knowles, S., Ip, S., White, C.L., Fenton, H., Ruder, M., Dolinski, A.C., and Lankton, J.S., 2017, Natural infections with pigeon paramyxovirus serotype 1: Pathologic changes in Eurasian collared-doves (Streptopelia decaocto) and rock pigeons (Columba livia) in the United States: Veterinary Pathology, v. 54, no. 4, p. 695-703, https://doi.org/10.1177/0300985817695782.","productDescription":"9 p., Data Release","startPage":"695","endPage":"703","ipdsId":"IP-077200","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":469815,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1177/0300985817695782","text":"Publisher Index Page"},{"id":341922,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":344168,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7BR8R2B","text":"Natural infections with Pigeon Paramyxovirus-1: Pathologic changes in Eurasian collared-doves (Streptopelia decaocto) and rock pigeons (Columba livia) in the USA: Data","description":"Data Release"}],"volume":"54","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-06","publicationStatus":"PW","scienceBaseUri":"592fd635e4b0e9bd0ea896b0","contributors":{"authors":[{"text":"Isidoro Ayza, Marcos 0000-0002-9380-7254 misidoroayza@usgs.gov","orcid":"https://orcid.org/0000-0002-9380-7254","contributorId":192509,"corporation":false,"usgs":true,"family":"Isidoro Ayza","given":"Marcos","email":"misidoroayza@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":696690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Afonso, C.L.","contributorId":192510,"corporation":false,"usgs":false,"family":"Afonso","given":"C.L.","email":"","affiliations":[],"preferred":false,"id":696691,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stanton, J.B.","contributorId":192511,"corporation":false,"usgs":false,"family":"Stanton","given":"J.B.","email":"","affiliations":[],"preferred":false,"id":696692,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Knowles, Susan 0000-0002-0254-6491 sknowles@usgs.gov","orcid":"https://orcid.org/0000-0002-0254-6491","contributorId":5254,"corporation":false,"usgs":true,"family":"Knowles","given":"Susan","email":"sknowles@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":696695,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ip, S. 0000-0003-4844-7533 hip@usgs.gov","orcid":"https://orcid.org/0000-0003-4844-7533","contributorId":727,"corporation":false,"usgs":true,"family":"Ip","given":"S.","email":"hip@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":696697,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"White, C. LeAnn 0000-0002-5004-5165 clwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-5004-5165","contributorId":4315,"corporation":false,"usgs":true,"family":"White","given":"C.","email":"clwhite@usgs.gov","middleInitial":"LeAnn","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":696698,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fenton, Heather","contributorId":192512,"corporation":false,"usgs":false,"family":"Fenton","given":"Heather","email":"","affiliations":[],"preferred":false,"id":696693,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ruder, M.G.","contributorId":192513,"corporation":false,"usgs":false,"family":"Ruder","given":"M.G.","email":"","affiliations":[],"preferred":false,"id":696694,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Dolinski, A. C.","contributorId":192516,"corporation":false,"usgs":false,"family":"Dolinski","given":"A.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":696702,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lankton, Julia S. 0000-0002-6843-4388 jlankton@usgs.gov","orcid":"https://orcid.org/0000-0002-6843-4388","contributorId":5888,"corporation":false,"usgs":true,"family":"Lankton","given":"Julia","email":"jlankton@usgs.gov","middleInitial":"S.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":696689,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70185018,"text":"sir20175020 - 2017 - Hydrogeologic framework and selected components of the groundwater budget for the upper Umatilla River Basin, Oregon","interactions":[],"lastModifiedDate":"2017-06-01T08:28:44","indexId":"sir20175020","displayToPublicDate":"2017-05-31T00:00:00","publicationYear":"2017","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":"2017-5020","title":"Hydrogeologic framework and selected components of the groundwater budget for the upper Umatilla River Basin, Oregon","docAbstract":"This report presents a summary of the hydrogeology of the upper Umatilla River Basin, Oregon, based on characterization of the hydrogeologic framework, horizontal and vertical directions of groundwater flow, trends in groundwater levels, and components of the groundwater budget. The conceptual model of the groundwater flow system integrates available data and information on the groundwater resources of the upper Umatilla River Basin and provides insights regarding key hydrologic processes, such as the interaction between the groundwater and surface water systems and the hydrologic budget.
The conceptual groundwater model developed for the study area divides the groundwater flow system into five hydrogeologic units: a sedimentary unit, three Columbia River basalt units, and a basement rock unit. The sedimentary unit, which is not widely used as a source of groundwater in the upper basin, is present primarily in the lowlands and consists of conglomerate, loess, silt and sand deposits, and recent alluvium. The Columbia River Basalt Group is a series of Miocene flood basalts that are present throughout the study area. The basalt is uplifted in the southeastern half of the study area, and either underlies the sedimentary unit, or is exposed at the surface. The interflow zones of the flood basalts are the primary aquifers in the study area. Beneath the flood basalts are basement rocks composed of Paleogene to Pre-Tertiary sedimentary, volcanic, igneous, and metamorphic rocks that are not used as a source of groundwater in the upper Umatilla River Basin.
The major components of the groundwater budget in the upper Umatilla River Basin are (1) groundwater recharge, (2) groundwater discharge to surface water and wells, (3) subsurface flow into and out of the basin, and (4) changes in groundwater storage.
Recharge from precipitation occurs primarily in the upland areas of the Blue Mountains. Mean annual recharge from infiltration of precipitation for the upper Umatilla River Basin during 1951–2010 is about 9.6 inches per year (in/yr). Annual recharge from precipitation for water year 2010 ranged from 3 in. in the lowland area to about 30 in. in the Blue Mountains. Using Kahle and others (2011) data and methods from the Columbia Plateau regional model, average annual recharge from irrigation is estimated to be about 2.2 in/yr for the 13 square miles of irrigated land in the upper Umatilla River Basin.
Groundwater discharges to streams throughout the year and is a large component of annual streamflow in the upper Umatilla River Basin. Upward vertical hydraulic gradients near the Umatilla River indicate the potential for groundwater discharge. Groundwater discharge to the Umatilla River generally occurs in the upper part of the basin, upstream from the main stem.
Groundwater development in the upper Umatilla River Basin began sometime after 1950 (Davies-Smith and others, 1988; Gonthier and Bolke, 1991). By water year 2010, groundwater use in the upper Umatilla River Basin was approximately 11,214 acre-feet (acre-ft). Total groundwater withdrawals for the study area were estimated at 7,575 acre-ft for irrigation, 3,173 acre-ft for municipal use, and 466 acre-ft for domestic use.
Total groundwater flow into or from the study area depends locally on geology and hydraulic head distribution. Estimates of subsurface flow were calculated using the U.S. Geological Survey Columbia Plateau regional groundwater flow model. Net flux values range from 25,000 to 27,700 acre-ft per year and indicate that groundwater is moving out of the upper Umatilla River Basin into the lower Umatilla River Basin.
Water level changes depend on storage changes within an aquifer, and storage changes depend on the storage properties of the aquifer, as well as recharge to or discharge from the aquifer. Groundwater level data in the upper Umatilla River Basin are mostly available from wells in Columbia River basalt units, which indicate areas of long-term water level declines in the Grande Ronde basalt unit near Pendleton and Athena, Oregon. Groundwater levels in the Wanapum basalt unit do not show long-term declines in the upper Umatilla River Basin. Because of pumping, some areas in the upper Umatilla River Basin have shown a decrease, or reversal, in the upward vertical head gradient.
Key data needs are improvement of the spatial and temporal distribution of water-level data collection and continued monitoring of streamflow gaging sites. Additionally, refinement of recharge estimates would enhance understanding of the processes that provide the groundwater resources in the upper Umatilla River Basin.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175020","collaboration":"Prepared in cooperation with Confederated Tribes of the Umatilla Indian Reservation","usgsCitation":"Herrera, N.B., Ely, Kate, Mehta, Smita, Stonewall, A.J., Risley, J.C., Hinkle, S.R., and Conlon, T.D., 2017, Hydrogeologic framework and selected components of the groundwater budget for the upper Umatilla River Basin, Oregon: U.S. Geological Survey Scientific Investigations Report 2017–5020, 57 p., https://doi.org/10.3133/sir20175020.","productDescription":"vi, 57 p.","onlineOnly":"Y","ipdsId":"IP-049734","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":341899,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5020/coverthb.jpg"},{"id":341900,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5020/sir20175020.pdf","text":"Report","size":"16.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5020"}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Umatilla River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.9,\n 45.35\n ],\n [\n -118,\n 45.35\n ],\n [\n -118,\n 45.93\n ],\n [\n -118.9,\n 45.93\n ],\n [\n -118.9,\n 45.35\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Oregon Water Science Center
U.S. Geological Survey
2130 SW 5th Avenue
Portland, Oregon 97201
The Lake Okeechobee and the Okeechobee Waterway (Lake Okeechobee, the St. Lucie Canal and River, and the Caloosahatchee River) experienced an extensive harmful algal bloom within Lake Okeechobee, the St. Lucie Canal and River and the Caloosahatchee River in 2016. In addition to the very visible bloom of the cyanobacterium Microcystis aeruginosa, several other cyanobacteria were present. These other species were less conspicuous; however, they have the potential to produce a variety of cyanotoxins, including anatoxins, cylindrospermopsins, and saxitoxins, in addition to the microcystins commonly associated with Microcystis. Some of these species were found before, during, and 2 weeks after the large Microcystis bloom and could provide a better understanding of bloom dynamics and succession. This report provides photographic documentation and taxonomic assessment of the cyanobacteria present from Lake Okeechobee and the Caloosahatchee River and St. Lucie Canal, with samples collected June 1st from the Caloosahatchee River and Lake Okeechobee and in July from the St. Lucie Canal. The majority of the images were of live organisms, allowing their natural complement of pigmentation to be captured. The report provides a digital image-based taxonomic record of the Lake Okeechobee and the Okeechobee Waterway microscopic flora. It is anticipated that these images will facilitate current and future studies on this system, such as understanding the timing of cyanobacteria blooms and their potential toxin production.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171054","usgsCitation":"Rosen, B.H., Davis, T.W., Gobler, C.J., Kramer, B.J., and Loftin, K.A. , 2017, Cyanobacteria of the 2016 Lake Okeechobee Waterway harmful algal bloom: U.S. Geological Survey Open-File Report 2017–1054, 34 p., https://doi.org/10.3133/ofr20171054.","productDescription":"vi, 33 p.","onlineOnly":"Y","ipdsId":"IP-085731","costCenters":[{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true}],"links":[{"id":341612,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1054/coverthb.jpg"},{"id":341613,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1054/ofr20171054.pdf","text":"Report","size":"1.98 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017–1054"}],"country":"United States","state":"Florida","otherGeospatial":"Lake Okeechobee","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.1837158203125,\n 27.291248399167404\n ],\n [\n -80.26611328125,\n 27.301011379979172\n ],\n [\n -80.364990234375,\n 27.279043466068245\n ],\n [\n -80.5133056640625,\n 27.22044113007616\n ],\n [\n -80.68084716796875,\n 27.225325836903373\n ],\n [\n -80.81817626953125,\n 27.247304365962293\n ],\n [\n -80.95550537109375,\n 27.19112839142226\n ],\n [\n -81.04888916015625,\n 27.068909095463365\n ],\n [\n -81.29058837890625,\n 26.980828590472107\n ],\n [\n -81.463623046875,\n 26.968589727144387\n ],\n [\n -81.595458984375,\n 26.868180902512403\n ],\n [\n -81.60919189453125,\n 26.80446076654616\n ],\n [\n -81.58172607421875,\n 26.711266913515747\n ],\n [\n -81.49658203125,\n 26.66955020082152\n ],\n [\n -81.3372802734375,\n 26.679367271566836\n ],\n [\n -81.1834716796875,\n 26.711266913515747\n ],\n [\n -81.02691650390625,\n 26.70881341200593\n ],\n [\n -80.95550537109375,\n 26.66955020082152\n ],\n [\n -80.79620361328125,\n 26.642548900196076\n ],\n [\n -80.67535400390625,\n 26.681821407205977\n ],\n [\n -80.57373046875,\n 26.78484736105119\n ],\n [\n -80.52154541015625,\n 26.885330195427926\n ],\n [\n -80.3485107421875,\n 26.941659545381516\n ],\n [\n -80.20294189453125,\n 27.03711021444808\n ],\n [\n -80.11505126953125,\n 27.17891247557853\n ],\n [\n -80.1837158203125,\n 27.291248399167404\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Southeast Regional Director's Office
U.S. Geological Survey
12703 Research Parkway
Orlando, FL 32826
Conserving native biodiversity in the face of human‐ and climate‐related impacts is a challenging and globally important ecological problem that requires an understanding of spatially connected, organismal‐habitat relationships. Globally, a suite of disturbances (e.g., agriculture, urbanization, climate change) degrades habitats and threatens biodiversity. A mosaic approach (in which connected, interacting collections of juxtaposed habitat patches are examined) provides a scientific foundation for addressing many disturbance‐related, ecologically based conservation problems. For example, if specific habitat types disproportionately increase biodiversity, these keystones should be incorporated into research and management plans. Our sampling of fish biodiversity and aquatic habitat along ten 3‐km sites within the Upper Neosho River subdrainage, KS, from June‐August 2013 yielded three generalizable ecological insights. First, specific types of mesohabitat patches (i.e., pool, riffle, run, and glide) were physically distinct and created unique mosaics of mesohabitats that varied across sites. Second, species richness was higher in riffle mesohabitats when mesohabitat size reflected field availability. Furthermore, habitat mosaics that included more riffles had greater habitat diversity and more fish species. Thus, riffles (<5% of sampled area) acted as keystone habitats. Third, additional conceptual development, which we initiate here, can broaden the identification of keystone habitats across ecosystems and further operationalize this concept for research and conservation. Thus, adopting a mosaic approach can increase scientific understanding of organismal‐habitat relationships, maintain natural biodiversity, advance spatial ecology, and facilitate effective conservation of native biodiversity in human‐altered ecosystems.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.13846","usgsCitation":"Hitchman, S.M., Mather, M.E., Smith, J.M., and Fencl, J.S., 2017, A mosaic-based approach is needed to conserve biodiversity in disturbed freshwater ecosystems: Global Change Biology, v. 24, no. 1, p. 308-321, https://doi.org/10.1111/gcb.13846.","productDescription":"14 p.","startPage":"308","endPage":"321","ipdsId":"IP-077478","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":354160,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","otherGeospatial":"Upper Neosho River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -96.65771484375,\n 34.79576153473033\n ],\n [\n -94.482421875,\n 34.79576153473033\n ],\n [\n -94.482421875,\n 39.21523130910491\n ],\n [\n -96.65771484375,\n 39.21523130910491\n ],\n [\n -96.65771484375,\n 34.79576153473033\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"24","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-11","publicationStatus":"PW","scienceBaseUri":"5afee86ce4b0da30c1bfc44b","contributors":{"authors":[{"text":"Hitchman, Sean M.","contributorId":204805,"corporation":false,"usgs":false,"family":"Hitchman","given":"Sean","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":735344,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mather, Martha E. 0000-0003-3027-0215 mather@usgs.gov","orcid":"https://orcid.org/0000-0003-3027-0215","contributorId":2580,"corporation":false,"usgs":true,"family":"Mather","given":"Martha","email":"mather@usgs.gov","middleInitial":"E.","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":735338,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Joseph M.","contributorId":106712,"corporation":false,"usgs":false,"family":"Smith","given":"Joseph","email":"","middleInitial":"M.","affiliations":[{"id":17855,"text":"School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA","active":true,"usgs":false},{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":735345,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fencl, Jane S.","contributorId":166699,"corporation":false,"usgs":false,"family":"Fencl","given":"Jane","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":735346,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70187096,"text":"fs20173029 - 2017 - Assessment of undiscovered oil and gas resources in the Spraberry Formation of the Midland Basin, Permian Basin Province, Texas, 2017","interactions":[],"lastModifiedDate":"2024-04-11T18:33:27.142061","indexId":"fs20173029","displayToPublicDate":"2017-05-30T18:45:00","publicationYear":"2017","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":"2017-3029","title":"Assessment of undiscovered oil and gas resources in the Spraberry Formation of the Midland Basin, Permian Basin Province, Texas, 2017","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated mean resources of 4.2 billion barrels of oil and 3.1 trillion cubic feet of gas in the Spraberry Formation of the Midland Basin, Permian Basin Province, Texas.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20173029","usgsCitation":"Marra, K.R., Gaswirth, S.B., Schenk, C.J., Leathers-Miller, H.M., Klett, T.R., Mercier, T.J., Le, P.A., Tennyson, M.E., Finn, T.M., Hawkins, S.J., and Brownfield, M.E., 2017, Assessment of undiscovered oil and gas resources in the Spraberry Formation of the Midland Basin, Permian Basin Province, Texas, 2017: U.S. Geological Survey Fact Sheet 2017–3029, 2 p., https://doi.org/10.3133/fs20173029.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-084295","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":438327,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7CR5SKN","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project-Permian Basin Province, Midland Basin, Spraberry Formation Assessment Units"},{"id":347758,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.er.usgs.gov/publication/ofr20171117","text":"Open-File Report 2017–1117:","linkHelpText":"U.S. Geological Survey Input-Data Forms for the Assessment of the Spraberry Formation of the Midland Basin, Permian Basin Province, Texas, 2017"},{"id":341175,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2017/3029/coverthb.jpg"},{"id":341177,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.er.usgs.gov/publication/fs20163092","text":"Fact Sheet 2016–3092:","linkHelpText":"Assessment of Undiscovered Continuous Oil Resources in the Wolfcamp Shale of the Midland Basin, Permian Basin Province, Texas, 2016"},{"id":341176,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2017/3029/fs20173029.pdf","text":"Report","size":"769 KB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2017-3029"},{"id":341178,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.er.usgs.gov/publication/fs20163039","text":"Fact Sheet 2016–3039:","linkHelpText":"Assessment of Tight-Gas Resources in Canyon Sandstones of the Val Verde Basin, Texas, 2016"}],"country":"United States","state":"Texas","otherGeospatial":"Spraberry Formation of the Midland Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.75,\n 30.3333\n ],\n [\n -99.25,\n 30.3333\n ],\n [\n -99.25,\n 34\n ],\n [\n -103.75,\n 34\n ],\n [\n -103.75,\n 30.3333\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Central Energy Resources Science Center
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The Bureau of Ocean Energy Management researchers often require detailed information regarding emergent marsh vegetation types (such as fresh, intermediate, brackish, and saline) for modeling habitat capacities and mitigation. In response, the U.S. Geological Survey in cooperation with the Bureau of Ocean Energy Management produced a detailed change classification of emergent marsh vegetation types in coastal Louisiana from 2007 and 2013. This study incorporates two existing vegetation surveys and independent variables such as Landsat Thematic Mapper multispectral satellite imagery, high-resolution airborne imagery from 2007 and 2013, bare-earth digital elevation models based on airborne light detection and ranging, alternative contemporary land-cover classifications, and other spatially explicit variables. An image classification based on image objects was created from 2007 and 2013 National Agriculture Imagery Program color-infrared aerial photography. The final products consisted of two 10-meter raster datasets. Each image object from the 2007 and 2013 spatial datasets was assigned a vegetation classification by using a simple majority filter. In addition to those spatial datasets, we also conducted a change analysis between the datasets to produce a 10-meter change raster product. This analysis identified how much change has taken place and where change has occurred. The spatial data products show dynamic areas where marsh loss is occurring or where marsh type is changing. This information can be used to assist and advance conservation efforts for priority natural resources.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175044","collaboration":"Prepared in cooperation with Bureau of Ocean Energy Management","usgsCitation":"Hartley, S.B., Couvillion, B.R., and Enwright, N.M., 2017, Delineation of marsh types and marsh-type change in coastal Louisiana for 2007 and 2013: U.S. Geological Survey Scientific Investigations Report 2017–5044, 6 p., https://doi.org/10.3133/20175044.","productDescription":"Report: vi, 6 p.; Data Release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-084395","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":341819,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5044/coverthb.jpg"},{"id":341820,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5044/sir20175044.pdf","text":"Report","size":"499 kB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017–5044"},{"id":341821,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7474820","text":"USGS - 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U.S. Geological Survey
700 Cajundome Blvd.
Lafayette, LA 70506
A lotic mesocosm study was carried out in 20-m-long channels, under continuous, environmentally realistic concentrations of copper (Cu) in low, medium, and high exposures (nominally 0, 5, 25, and 75 μg L−1; average effective concentrations <0.5, 4, 20, and 57 μg L−1 respectively) for 18 mo. Total abundance, taxa richness, and community structure of zooplankton, macroinvertebrates, and emerging insects were severely affected at Cu treatment levels of 25 and 75 μg L−1. Some taxa were sensitive to Cu, including gastropods such as Lymnaea spp. and Physasp., crustaceans such as Chydorus sphaericus, Gammarus pulex, and Asellus aquaticus, rotifers such as Mytilina sp. and Trichocerca sp., leeches such as Erpobdella sp., and the emergence of dipteran insects such as Chironomini. Other taxa appeared to be tolerant or favored by indirect effects, as in Chironimidae larvae, the emergence of Orthocladiinae, and the zooplankter Vorticella sp., which increased in the 25 and 75 μg L−1 treatments. After approximately 8 mo of Cu exposure, the macroinvertebrate community in the high treatment was decimated to the point that few organisms could be detected, with moderate effects in the medium treatment, and very slight effects in the low-Cu treatment. Subsequently, most taxa in the high-Cu exposure began a gradual and partial recovery. By the end of the study at 18 mo, macroinvertebrate taxa richness was similar to control richness, although overall abundances remained lower than controls. After 18 mo of copper exposure, a no-observed-effect concentration at the community level for consumers was set at 5 μg L−1 (4 μg L−1 as average effective concentration), and a lowest-observed-effect concentration at 25 μg L−1(20 μg L−1 as average effective concentration).
","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/ETC.3822","usgsCitation":"Joachim, S., Roussel, H., Bonzom, J., Thybaud, E., Mebane, C.A., Brink, P.V., and Gauthier, L., 2017, A long-term copper exposure in a freshwater ecosystem using lotic mesocosms: Invertebrate community responses: Environmental Toxicology and Chemistry, v. 36, no. 10, p. 2698-2714, https://doi.org/10.1002/ETC.3822.","productDescription":"17 p.","startPage":"2698","endPage":"2714","ipdsId":"IP-078992","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":488065,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/dataset/A_long-term_copper_exposure_on_freshwater_ecosystem_using_lotic_mesocosms_-_Invertebrate_community_responses/4769635","text":"External Repository"},{"id":346929,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"36","issue":"10","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-01","publicationStatus":"PW","scienceBaseUri":"59e86836e4b05fe04cd4d1fc","contributors":{"authors":[{"text":"Joachim, Sandrine","contributorId":197505,"corporation":false,"usgs":false,"family":"Joachim","given":"Sandrine","email":"","affiliations":[],"preferred":false,"id":713643,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roussel, Helene","contributorId":197506,"corporation":false,"usgs":false,"family":"Roussel","given":"Helene","email":"","affiliations":[],"preferred":false,"id":713644,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bonzom, Jean-Marc","contributorId":197507,"corporation":false,"usgs":false,"family":"Bonzom","given":"Jean-Marc","email":"","affiliations":[],"preferred":false,"id":713645,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thybaud, Eric","contributorId":197508,"corporation":false,"usgs":false,"family":"Thybaud","given":"Eric","email":"","affiliations":[],"preferred":false,"id":713646,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mebane, Christopher A. 0000-0002-9089-0267 cmebane@usgs.gov","orcid":"https://orcid.org/0000-0002-9089-0267","contributorId":110,"corporation":false,"usgs":true,"family":"Mebane","given":"Christopher","email":"cmebane@usgs.gov","middleInitial":"A.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":713642,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brink, Paul Van den","contributorId":197509,"corporation":false,"usgs":false,"family":"Brink","given":"Paul","email":"","middleInitial":"Van den","affiliations":[],"preferred":false,"id":713647,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gauthier, Laury","contributorId":197510,"corporation":false,"usgs":false,"family":"Gauthier","given":"Laury","email":"","affiliations":[],"preferred":false,"id":713648,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70188076,"text":"70188076 - 2017 - An accurate method for measuring triploidy of larval fish spawns","interactions":[],"lastModifiedDate":"2017-05-30T16:18:37","indexId":"70188076","displayToPublicDate":"2017-05-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2885,"text":"North American Journal of Aquaculture","active":true,"publicationSubtype":{"id":10}},"title":"An accurate method for measuring triploidy of larval fish spawns","docAbstract":"A standard flow cytometric protocol was developed for estimating triploid induction in batches of larval fish. Polyploid induction treatments are not guaranteed to be 100% efficient, thus the ability to quantify the proportion of triploid larvae generated by a particular treatment helps managers to stock high-percentage spawns and researchers to select treatments for efficient triploid induction. At 3 d posthatch, individual Grass Carp Ctenopharyngodon idella were mechanically dissociated into single-cell suspensions; nuclear DNA was stained with propidium iodide then analyzed by flow cytometry. Following ploidy identification of individuals, aliquots of diploid and triploid cell suspensions were mixed to generate 15 levels (0–100%) of known triploidy (n = 10). Using either 20 or 50 larvae per level, the observed triploid percentages were lower than the known, actual values. Using nonlinear regression analyses, quadratic equations solved for triploid proportions in mixed samples and corresponding estimation reference plots allowed for predicting triploidy. Thus, an accurate prediction of the proportion of triploids in a spawn can be made by following a standard larval processing and analysis protocol with either 20 or 50 larvae from a single spawn, coupled with applying the quadratic equations or reference plots to observed flow cytometry results. Due to the universality of triploid DNA content being 1.5 times the diploid level and because triploid fish consist of fewer cells than diploids, this method should be applicable to other produced triploid fish species, and it may be adapted for use with bivalves or other species where batch analysis is appropriate.
","language":"English","publisher":"American Fisheries Society","doi":"10.1080/15222055.2017.1296517","usgsCitation":"Jenkins, J.A., Draugelis-Dale, R.O., Glennon, R., Kelly, A.M., Brown, B.L., and Morrison, J., 2017, An accurate method for measuring triploidy of larval fish spawns: North American Journal of Aquaculture, v. 79, no. 3, p. 224-237, https://doi.org/10.1080/15222055.2017.1296517.","productDescription":"14 p.","startPage":"224","endPage":"237","ipdsId":"IP-065097","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":341889,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"79","issue":"3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-22","publicationStatus":"PW","scienceBaseUri":"592e84b5e4b092b266f10d1a","contributors":{"authors":[{"text":"Jenkins, Jill A. 0000-0002-5087-0894 jenkinsj@usgs.gov","orcid":"https://orcid.org/0000-0002-5087-0894","contributorId":2710,"corporation":false,"usgs":true,"family":"Jenkins","given":"Jill","email":"jenkinsj@usgs.gov","middleInitial":"A.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":696555,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Draugelis-Dale, Rassa O. 0000-0001-8532-3287 daler@usgs.gov","orcid":"https://orcid.org/0000-0001-8532-3287","contributorId":20422,"corporation":false,"usgs":true,"family":"Draugelis-Dale","given":"Rassa","email":"daler@usgs.gov","middleInitial":"O.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":696556,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Glennon, Robert","contributorId":192455,"corporation":false,"usgs":false,"family":"Glennon","given":"Robert","email":"","affiliations":[],"preferred":false,"id":696557,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kelly, Anita M.","contributorId":192456,"corporation":false,"usgs":false,"family":"Kelly","given":"Anita","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":696558,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, Bonnie L.","contributorId":23083,"corporation":false,"usgs":false,"family":"Brown","given":"Bonnie","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":696559,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morrison, John","contributorId":192457,"corporation":false,"usgs":false,"family":"Morrison","given":"John","affiliations":[],"preferred":false,"id":696561,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70188075,"text":"70188075 - 2017 - Relationships between gas field development and the presence and abundance of pygmy rabbits in southwestern Wyoming","interactions":[],"lastModifiedDate":"2018-08-10T16:14:26","indexId":"70188075","displayToPublicDate":"2017-05-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Relationships between gas field development and the presence and abundance of pygmy rabbits in southwestern Wyoming","docAbstract":"More than 5957 km2 in southwestern Wyoming is currently covered by operational gas fields, and further development is projected through 2030. Gas fields fragment landscapes through conversion of native vegetation to roads, well pads, pipeline corridors, and other infrastructure elements. The sagebrush steppe landscape where most of this development is occurring harbors 24 sagebrush-associated species of greatest conservation need, but the effects of gas energy development on most of these species are unknown. Pygmy rabbits (Brachylagus idahoensis) are one such species. In 2011, we began collecting three years of survey data to examine the relationship between gas field development density and pygmy rabbit site occupancy patterns on four major Wyoming gas fields (Continental Divide–Creston–Blue Gap, Jonah, Moxa Arch, Pinedale Anticline Project Area). We surveyed 120 plots across four gas fields, with plots distributed across the density gradient of gas well pads on each field. In a 1 km radius around the center of each plot, we measured the area covered by each of 10 gas field infrastructure elements and by shrub cover using 2012 National Agriculture Imagery Program imagery. We then modeled the relationship between gas field elements, pygmy rabbit presence, and two indices of pygmy rabbit abundance. Gas field infrastructure elements—specifically buried utility corridors and a complex of gas well pads, adjacent disturbed areas, and well pad access roads—were negatively correlated with pygmy rabbit presence and abundance indices, with sharp declines apparent after approximately 2% of the area consisted of gas field infrastructure. We conclude that pygmy rabbits in southwestern Wyoming may be sensitive to gas field development at levels similar to those observed for greater sage-grouse, and may suffer local population declines at lower levels of development than are allowed in existing plans and policies designed to conserve greater sage-grouse by limiting the surface footprint of energy development. Buried utilities, gas well pads, areas adjacent to well pads, and well pad access roads had the strongest negative correlation with pygmy rabbit presence and abundance. Minimizing the surface footprint of these elements may reduce negative impacts of gas energy development on pygmy rabbits.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.1817","usgsCitation":"Germaine, S.S., Carter, S.K., Ignizio, D.A., and Freeman, A.T., 2017, Relationships between gas field development and the presence and abundance of pygmy rabbits in southwestern Wyoming: Ecosphere, v. 8, no. 5, e01817: 19 p., https://doi.org/10.1002/ecs2.1817.","productDescription":"e01817: 19 p.","ipdsId":"IP-080749","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":37226,"text":"Core Science Analytics, Synthesis, and Libraries","active":true,"usgs":true}],"links":[{"id":469821,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1817","text":"Publisher Index Page"},{"id":438328,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7BR8QDD","text":"USGS data release","linkHelpText":"Analysis of Land Disturbance and Pygmy Rabbit Occupancy Values Associated With Oil and Gas Extraction in Southwestern Wyoming, 2012"},{"id":341871,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -112,\n 40\n ],\n [\n -105,\n 40\n ],\n [\n -105,\n 45.75\n ],\n [\n -112,\n 45.75\n ],\n [\n -112,\n 40\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-15","publicationStatus":"PW","scienceBaseUri":"592e84b7e4b092b266f10d1f","contributors":{"authors":[{"text":"Germaine, Stephen S. 0000-0002-7614-2676 germaines@usgs.gov","orcid":"https://orcid.org/0000-0002-7614-2676","contributorId":192417,"corporation":false,"usgs":true,"family":"Germaine","given":"Stephen","email":"germaines@usgs.gov","middleInitial":"S.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":696470,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carter, Sarah K. 0000-0003-3778-8615","orcid":"https://orcid.org/0000-0003-3778-8615","contributorId":192418,"corporation":false,"usgs":true,"family":"Carter","given":"Sarah","email":"","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":696471,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ignizio, Drew A. 0000-0001-8054-5139 dignizio@usgs.gov","orcid":"https://orcid.org/0000-0001-8054-5139","contributorId":139842,"corporation":false,"usgs":true,"family":"Ignizio","given":"Drew","email":"dignizio@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":696472,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Freeman, Aaron T. 0000-0001-9395-5604 afreeman@usgs.gov","orcid":"https://orcid.org/0000-0001-9395-5604","contributorId":5293,"corporation":false,"usgs":true,"family":"Freeman","given":"Aaron","email":"afreeman@usgs.gov","middleInitial":"T.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":696473,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70187585,"text":"sir20175042 - 2017 - Measuring surface-water loss in Honouliuli Stream near the ‘Ewa Shaft, O‘ahu, Hawai‘i","interactions":[],"lastModifiedDate":"2017-06-22T16:30:24","indexId":"sir20175042","displayToPublicDate":"2017-05-30T00:00:00","publicationYear":"2017","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":"2017-5042","title":"Measuring surface-water loss in Honouliuli Stream near the ‘Ewa Shaft, O‘ahu, Hawai‘i","docAbstract":"The Honolulu Board of Water Supply is currently concerned with the possibility of bacteria in the pumped water of the ‘Ewa Shaft (State well 3-2202-21). Groundwater from the ‘Ewa Shaft could potentially be used to meet future potable water needs in the ‘Ewa area on the island of O‘ahu. The source of the bacteria in the pumped water is unknown, although previous studies indicate that surface water may be lost to the subsurface near the site. The ‘Ewa Shaft consists of a vertical shaft, started near the south bank of Honouliuli Stream at an altitude of about 161 feet, and two horizontal infiltration tunnels near sea level. The shaft extracts groundwater from near the top of the freshwater lens in the Waipahu-Waiawa aquifer system within the greater Pearl Harbor Aquifer Sector, a designated Water Management Area.
The surface-water losses were evaluated with continuous groundwater-level data from the ‘Ewa Shaft and a nearby monitoring well, continuous stream-discharge data from U.S. Geological Survey streamflow-gaging station 16212490 (Honouliuli Stream at H-1 Freeway near Waipahu), and seepage-run measurements in Honouliuli Stream and its tributary. During storms, discharge at the Honouliuli Stream gaging station increases and groundwater levels at ‘Ewa Shaft and a nearby monitoring well also increase. The concurrent increase in water levels at ‘Ewa Shaft and the nearby monitoring well during storms indicates that regional groundwater-level changes related to increased recharge, reduced withdrawals (due to a decrease in demand during periods of rainfall), or both may be occurring; although these data do not preclude the possibility of local recharge from Honouliuli Stream. Discharge measurements from two seepage runs indicate that surface water in the immediate area adjacent to ‘Ewa Shaft infiltrates into the streambed and may later reach the groundwater system developed by the ‘Ewa Shaft. The estimated seepage loss rates in the vicinity of ‘Ewa Shaft from the two seepage runs generally ranged from 0.27 to 1.78 million gallons per day per mile of stream reach; although higher seepage rates may occur during periods of higher discharge in Honouliuli Stream. A potential source of bacteria in ‘Ewa Shaft maybe related to seepage from Honouliuli Stream; however, other sources of bacteria were not studied and cannot be excluded.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175042","collaboration":"Prepared in cooperation with the Honolulu Board of Water Supply","usgsCitation":"Rosa, S.N., 2017, Measuring surface-water loss in Honouliuli Stream near the ‘Ewa Shaft, O‘ahu, Hawai‘i: U.S. Geological Survey Scientific Investigations Report 2017–5042, 14 p., https://doi.org/10.3133/sir20175042.","productDescription":"vi, 16 p.","onlineOnly":"Y","ipdsId":"IP-082480","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":341865,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5042/coverthb.jpg"},{"id":341867,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5042/sir20175042.pdf","text":"Report","size":"2.25 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5042"}],"country":"United States","state":"Hawaii","otherGeospatial":"O‘ahu, Wai‘anae Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -158.0667,\n 21.3625\n ],\n [\n -158.0083,\n 21.3625\n ],\n [\n -158.0083,\n 21.4833\n ],\n [\n -158.0667,\n 21.4833\n ],\n [\n -158.0667,\n 21.3625\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director,
Pacific Islands Water Science Center
U.S. Geological Survey
Inouye Regional Center
1845 Wasp Blvd., B176
Honolulu, HI 96818
To explore steady state fractionation processes in the unsaturated zone (UZ), we measured argon, krypton, and xenon isotope ratios throughout a ∼110 m deep UZ at the United States Geological Survey (USGS) Amargosa Desert Research Site (ADRS) in Nevada, USA. Prior work has suggested that gravitational settling should create a nearly linear increase in heavy-to-light isotope ratios toward the bottom of stagnant air columns in porous media. Our high-precision measurements revealed a binary mixture between (1) expected steady state isotopic compositions and (2) unfractionated atmospheric air. We hypothesize that the presence of an unsealed pipe connecting the surface to the water table allowed for direct inflow of surface air in response to extensive UZ gas sampling prior to our first (2015) measurements. Observed isotopic resettling in deep UZ samples collected a year later, after sealing the pipe, supports this interpretation. Data and modeling each suggest that the strong influence of gravitational settling and weaker influences of thermal diffusion and fluxes of CO2 and water vapor accurately describe steady state isotopic fractionation of argon, krypton, and xenon within the UZ. The data confirm that heavy noble gas isotopes are sensitive indicators of UZ depth. Based on this finding, we outline a potential inverse approach to quantify past water table depths from noble gas isotope measurements in paleogroundwater, after accounting for fractionation during dissolution of UZ air and bubbles.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2016WR019655","usgsCitation":"Seltzer, A.M., Severinghaus, J.P., Andraski, B.J., and Stonestrom, D.A., 2017, Steady state fractionation of heavy noble gas isotopes in a deep unsaturated zone: Water Resources Research, v. 53, no. 4, p. 2716-2732, https://doi.org/10.1002/2016WR019655.","productDescription":"17 p.","startPage":"2716","endPage":"2732","ipdsId":"IP-078005","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"links":[{"id":469820,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2016wr019655","text":"Publisher Index Page"},{"id":341817,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","county":"Nye County","otherGeospatial":"Amargosa Desert Research Site","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.69602632522582,\n 36.76556695045376\n ],\n [\n -116.68630599975586,\n 36.76556695045376\n ],\n [\n -116.68630599975586,\n 36.76969233214548\n ],\n [\n -116.69602632522582,\n 36.76969233214548\n ],\n [\n -116.69602632522582,\n 36.76556695045376\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"53","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-06","publicationStatus":"PW","scienceBaseUri":"592d8edce4b08f9d15be7b79","contributors":{"authors":[{"text":"Seltzer, Alan M.","contributorId":192321,"corporation":false,"usgs":false,"family":"Seltzer","given":"Alan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":696221,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Severinghaus, Jeffrey P.","contributorId":140715,"corporation":false,"usgs":false,"family":"Severinghaus","given":"Jeffrey","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":696222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andraski, Brian J. 0000-0002-2086-0417 andraski@usgs.gov","orcid":"https://orcid.org/0000-0002-2086-0417","contributorId":168800,"corporation":false,"usgs":true,"family":"Andraski","given":"Brian","email":"andraski@usgs.gov","middleInitial":"J.","affiliations":[{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":false,"id":696223,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stonestrom, David A. 0000-0001-7883-3385 dastones@usgs.gov","orcid":"https://orcid.org/0000-0001-7883-3385","contributorId":2280,"corporation":false,"usgs":true,"family":"Stonestrom","given":"David","email":"dastones@usgs.gov","middleInitial":"A.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":696220,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70211701,"text":"70211701 - 2017 - Sedimentological and petrographic analysis of drill core FC77-1 from the flank of the central uplift, Flynn Creek impact structure, Tennessee","interactions":[],"lastModifiedDate":"2020-08-07T13:55:50.807872","indexId":"70211701","displayToPublicDate":"2017-05-26T08:50:06","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5996,"text":"Meteoritics & Planetary Science (MAPS)","active":true,"publicationSubtype":{"id":10}},"title":"Sedimentological and petrographic analysis of drill core FC77-1 from the flank of the central uplift, Flynn Creek impact structure, Tennessee","docAbstract":"Drill core FC 77‐1 on the flank of the central uplift, Flynn Creek impact structure, Tennessee, contains 175 m of impact breccia lying upon uplifted Lower Paleozoic carbonate target stratigraphy. Sedimentological analysis of this 175‐m interval carbonate breccia shows that there are three distinct sedimentological units. In stratigraphic order, unit 1 (175–109 m) is an overall coarsening‐upward section, whereas the overlying unit 2 (109–32 m) is overall fining‐upward. Unit 3 (32–0 m) is a coarsening‐upward sequence that is truncated at the top by postimpact erosion. Units 1 and 3 are interpreted as debris or rock avalanches into finer sedimentary deposits within intracrater marine waters, thus producing progressively coarser, coarsening‐upward sequences. Unit 2 is interpreted to have formed by debris or rock avalanches into standing marine waters, thus forming sequential fining‐upward deposits. Line‐logging of clasts ranging from 5 mm to 1.6 m, and thin‐section analysis of selected drill core samples (including clasts < 5 mm), both show that the Flynn Creek impact breccia consists almost entirely of dolostone clasts (90%), with minor components of cryptocrystalline melt clasts, chert and shale fragments, and clastic grains. Cryptocrystalline melt clasts, which appear isotropic in thin section, are in fact made of exceedingly fine quartz crystals that exhibit micro‐Fourier transform infrared (FTIR ) and micro‐Raman spectra consistent with crystalline quartz. These cryptocrystalline melt clasts are the first melt clasts of any kind to be reported from Flynn Creek impact structure.
Drift studies are central to stream and river ecological research. However, a fundamental aspect of quantifying drift — how net clogging affects the accuracy of results — has been widely ignored. Utilizing approaches from plankton and suspended sediment studies in oceanography and hydrology, we examined the rate and dynamics of net clogging across a range of conditions. We found that nets clog nonlinearly over time and that suspended solid concentrations and net mesh size exerted a strong effect on clogging rates. Critically, net clogging introduced unpredictable biases in resultant data due to the inaccuracies in water volume estimates introduced by progressive clogging. This renders the widespread approach to linearly “correct” for clogging inadequate. Using a meta-analysis of 77 drift studies spanning 25 years, we demonstrate that the detrimental effects of net clogging are routinely unappreciated, even though the results of most of these studies were likely affected by clogging. We close by describing an approach for avoiding net clogging, which will increase the accuracy and reproducibility of results in future freshwater, lotic drift studies.
","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2016-0365","usgsCitation":"Muehlbauer, J.D., Kennedy, T., Copp, A.J., and Sabol, T.A., 2017, Deleterious effects of net clogging on the quantification of stream drift: Canadian Journal of Fisheries and Aquatic Sciences, v. 74, no. 7, p. 1041-1048, https://doi.org/10.1139/cjfas-2016-0365.","productDescription":"8 p.","startPage":"1041","endPage":"1048","ipdsId":"IP-078467","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":469823,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2016-0365","text":"External Repository"},{"id":438329,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71J97WD","text":"USGS data release","linkHelpText":"Stream Drift Sampling in Arizona, 2014Data"},{"id":341792,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","issue":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59293e92e4b016f7a94076de","contributors":{"authors":[{"text":"Muehlbauer, Jeffrey D. 0000-0003-1808-580X jmuehlbauer@usgs.gov","orcid":"https://orcid.org/0000-0003-1808-580X","contributorId":5045,"corporation":false,"usgs":true,"family":"Muehlbauer","given":"Jeffrey","email":"jmuehlbauer@usgs.gov","middleInitial":"D.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":696164,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kennedy, Theodore A. tkennedy@usgs.gov","contributorId":140027,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore A.","email":"tkennedy@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":696165,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Copp, Adam J. 0000-0001-7385-0055 acopp@usgs.gov","orcid":"https://orcid.org/0000-0001-7385-0055","contributorId":5194,"corporation":false,"usgs":true,"family":"Copp","given":"Adam","email":"acopp@usgs.gov","middleInitial":"J.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":696166,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sabol, Thomas A. 0000-0002-4299-2285 tsabol@usgs.gov","orcid":"https://orcid.org/0000-0002-4299-2285","contributorId":3403,"corporation":false,"usgs":true,"family":"Sabol","given":"Thomas","email":"tsabol@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":696167,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70187974,"text":"70187974 - 2017 - Formation of Fe-Mn crusts within a continental margin environment","interactions":[],"lastModifiedDate":"2017-05-26T11:18:24","indexId":"70187974","displayToPublicDate":"2017-05-26T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2954,"text":"Ore Geology Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Formation of Fe-Mn crusts within a continental margin environment","docAbstract":"This study examines Fe-Mn crusts that form on seamounts along the California continental-margin (CCM), within the United States 200 nautical mile exclusive economic zone. The study area extends from approximately 30° to 38° North latitudes and from 117° to 126° West longitudes. The area of study is a tectonically active northeast Pacific plate boundary region and is also part of the North Pacific Subtropical Gyre with currents dominated by the California Current System. Upwelling of nutrient-rich water results in high primary productivity that produces a pronounced oxygen minimum zone. Hydrogenetic Fe-Mn crusts forming along the CCM show distinct chemical and mineral compositions compared to open-ocean crusts. On average, CCM crusts contain more Fe relative to Mn than open-ocean Pacific crusts. The continental shelf and slope release both Fe and Mn under low-oxygen conditions. Silica is also enriched relative to Al compared to open-ocean crusts. This is due to the North Pacific silica plume and enrichment of Si along the path of deep-water circulation, resulting in Si enrichment in bottom and intermediate waters of the eastern Pacific.
The CCM Fe-Mn crusts have a higher percentage of birnessite than open-ocean crusts, reflecting lower dissolved seawater oxygen that results from the intense coastal upwelling and proximity to zones of continental slope pore-water anoxia. Carbonate fluorapatite (CFA) is not present and CCM crusts do not show evidence of phosphatization, even in the older sections. The mineralogy indicates a suboxic environment under which birnessite forms, but in which pH is not high enough to facilitate CFA deposition. Growth rates of CCM crusts generally increase with increasing water depth, likely due to deep-water Fe sources mobilized from reduced shelf and slope sediments.
Many elements of economic interest including Mn, Co, Ni, Cu, W, and Te have slightly or significantly lower concentrations in CCM crusts relative to crusts from the Pacific Prime Crust Zone and other open-ocean basins. However, concentrations of total rare earth elements and yttrium average only slightly lower contents and in the future may be a strategic resource for the U.S.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.oregeorev.2016.09.010","collaboration":"James R. Hein;","usgsCitation":"Conrad, T.A., Hein, J., Paytan, A., and Clague, D.A., 2017, Formation of Fe-Mn crusts within a continental margin environment: Ore Geology Reviews, v. 87, p. 25-40, https://doi.org/10.1016/j.oregeorev.2016.09.010.","productDescription":"16 p.","startPage":"25","endPage":"40","ipdsId":"IP-074776","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":341798,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -126,\n 30\n ],\n [\n -117,\n 30\n ],\n [\n -117,\n 38\n ],\n [\n -126,\n 38\n ],\n [\n -126,\n 30\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"87","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59293e94e4b016f7a94076f6","contributors":{"authors":[{"text":"Conrad, Tracey A. 0000-0002-2648-5451","orcid":"https://orcid.org/0000-0002-2648-5451","contributorId":192284,"corporation":false,"usgs":false,"family":"Conrad","given":"Tracey","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":696130,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hein, James R. jhein@usgs.gov","contributorId":140283,"corporation":false,"usgs":true,"family":"Hein","given":"James R.","email":"jhein@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":696131,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paytan, Adina","contributorId":75242,"corporation":false,"usgs":true,"family":"Paytan","given":"Adina","affiliations":[],"preferred":false,"id":696132,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clague, David A.","contributorId":77105,"corporation":false,"usgs":false,"family":"Clague","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":696133,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70187982,"text":"70187982 - 2017 - Land use history and population dynamics of free-standing figs in a maturing forest","interactions":[],"lastModifiedDate":"2017-05-26T11:05:42","indexId":"70187982","displayToPublicDate":"2017-05-26T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Land use history and population dynamics of free-standing figs in a maturing forest","docAbstract":"Figs (Ficus sp.) are often considered as keystone resources which strongly influence tropical forest ecosystems. We used long-term tree-census data to track the population dynamics of two abundant free-standing fig species, Ficus insipida and F. yoponensis, on Barro Colorado Island (BCI), a 15.6-km2 island in Lake Gatún, Panama. Vegetation cover on BCI consists of a mosaic of old growth (>400 years) and maturing (about 90–150 year old) secondary rainforest. Locations and conditions of fig trees have been mapped and monitored on BCI for more than 35 years (1973–2011), with a focus on the Lutz Catchment area (25 ha). The original distribution of the fig trees shortly after the construction of the Panama Canal was derived from an aerial photograph from 1927 and was compared with previous land use and forest status. The distribution of both fig species (~850 trees) is restricted to secondary forest. Of the original 119 trees observed in Lutz Catchment in 1973, >70% of F. insipida and >90% of F. yoponensis had died by 2011. Observations in other areas on BCI support the trend of declining free-standing figs. We interpret the decline of these figs on BCI as a natural process within a maturing tropical lowland forest. Senescence of the fig trees appears to have been accelerated by severe droughts such as the strong El Niño event in the year 1982/83. Because figs form such an important food resource for frugivores, this shift in resource availability is likely to have cascading effects on frugivore populations.
","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0177060","usgsCitation":"Albrecht, L., Stallard, R.F., and Kalko, E., 2017, Land use history and population dynamics of free-standing figs in a maturing forest: PLoS ONE, v. 12, no. 5, p. 1-18, https://doi.org/10.1371/journal.pone.0177060.","productDescription":"e0177060; 18 p.","startPage":"1","endPage":"18","ipdsId":"IP-087054","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":469826,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0177060","text":"Publisher Index Page"},{"id":341795,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-24","publicationStatus":"PW","scienceBaseUri":"59293e92e4b016f7a94076e8","contributors":{"authors":[{"text":"Albrecht, Larissa","contributorId":192297,"corporation":false,"usgs":false,"family":"Albrecht","given":"Larissa","email":"","affiliations":[],"preferred":false,"id":696145,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stallard, Robert F. 0000-0001-8209-7608 stallard@usgs.gov","orcid":"https://orcid.org/0000-0001-8209-7608","contributorId":1924,"corporation":false,"usgs":true,"family":"Stallard","given":"Robert","email":"stallard@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":696144,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kalko, Elisabeth","contributorId":192298,"corporation":false,"usgs":false,"family":"Kalko","given":"Elisabeth","email":"","affiliations":[],"preferred":false,"id":696146,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70187999,"text":"70187999 - 2017 - Trends in Rainbow Trout recruitment, abundance, survival, and growth during a boom-and-bust cycle in a tailwater fishery","interactions":[],"lastModifiedDate":"2017-08-03T08:31:55","indexId":"70187999","displayToPublicDate":"2017-05-26T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Trends in Rainbow Trout recruitment, abundance, survival, and growth during a boom-and-bust cycle in a tailwater fishery","docAbstract":"Data from a large-scale mark-recapture study was used in an open population model to determine the cause for long-term trends in growth and abundance of a Rainbow Trout Oncorhynchus mykiss population in the tailwater of Glen Canyon Dam, AZ. Reduced growth affected multiple life stages and processes causing negative feedbacks that regulated the abundance of the population, including: higher mortality of larger fish; lower rates of recruitment (young of year) in years when growth was reduced; and lower rates of sexual maturation the following year. High and steady flows during spring and summer of 2011 resulted in very large recruitment event. The population declined 10-fold by 2016 due a combination of lower recruitment and reduced survival of larger trout. Survival rates for trout ≥ 225 mm in 2014, 2015, and 2016 were 11%, 21%, and 22% lower than average survival rates between 2012 and 2013, respectively. Abundance at the end of the study would have been three- to five-fold higher had survival rates for larger trout remained at the elevated levels estimated for 2012 and 2013. Growth declined between 2012 and 2014 owing to reduced prey availability, which led to very poor fish condition by fall of 2014 (~0.9-0.95). Poor condition in turn resulted in low survival rates of larger fish during fall of 2014 and winter of 2015, which contributed to the population collapse. In Glen Canyon, large recruitment events driven by high flows can lead to increases in the population that cannot be sustained due to limitations in prey supply. In the absence of being able to regulate prey supply, flows which reduce the probability of large recruitment events can be used to avoid boom-and-bust population cycles. Our study demonstrates that mark-recapture is a very informative approach for understanding the dynamics of tailwater trout populations.","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2017.1317663","usgsCitation":"Korman, J., Yard, M.D., and Kennedy, T., 2017, Trends in Rainbow Trout recruitment, abundance, survival, and growth during a boom-and-bust cycle in a tailwater fishery: Transactions of the American Fisheries Society, v. 146, no. 5, p. 1043-1057, https://doi.org/10.1080/00028487.2017.1317663.","productDescription":"15 p.","startPage":"1043","endPage":"1057","ipdsId":"IP-084735","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":469822,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/journal_contribution/Trends_in_Rainbow_Trout_Recruitment_Abundance_Survival_and_Growth_during_a_Boom-and-Bust_Cycle_in_a_Tailwater_Fishery/5270857","text":"External Repository"},{"id":341791,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"146","issue":"5","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-24","publicationStatus":"PW","scienceBaseUri":"59293e90e4b016f7a94076d8","contributors":{"authors":[{"text":"Korman, Josh","contributorId":139960,"corporation":false,"usgs":false,"family":"Korman","given":"Josh","email":"","affiliations":[{"id":13333,"text":"Ecometric Research Inc.","active":true,"usgs":false}],"preferred":false,"id":696169,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yard, Micheal D. myard@usgs.gov","contributorId":147386,"corporation":false,"usgs":true,"family":"Yard","given":"Micheal","email":"myard@usgs.gov","middleInitial":"D.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":696168,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kennedy, Theodore A. tkennedy@usgs.gov","contributorId":140027,"corporation":false,"usgs":true,"family":"Kennedy","given":"Theodore A.","email":"tkennedy@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":696170,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70189009,"text":"70189009 - 2017 - Avian influenza virus RNA in groundwater wells supplying poultry farms affected by the 2015 influenza outbreak","interactions":[],"lastModifiedDate":"2017-07-12T10:25:34","indexId":"70189009","displayToPublicDate":"2017-05-26T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5022,"text":"Environmental Science & Technology Letters","onlineIssn":"2328-8930","active":true,"publicationSubtype":{"id":10}},"title":"Avian influenza virus RNA in groundwater wells supplying poultry farms affected by the 2015 influenza outbreak","docAbstract":"During the 2015 outbreak of highly pathogenic avian influenza virus\n(HPAI) on poultry farms in the midwestern United States, concern was raised\nabout the potential for HPAI to contaminate groundwater. Our study objective was to evaluate the occurrence of HPAI in the groundwater supply wells on 13 outbreak-affected poultry farms in Iowa and Wisconsin. We sampled 20 wells, six waste-storage lagoons, and one pond. Three wells and one lagoon were positive for the matrix gene indicative of influenza A virus. Using a semi-nested qPCR assay specific to the H5 HPAI outbreak strain, one well was H5-positive, matching the outbreak virus hemagglutinin gene. Matrix gene-positive samples analyzed for avian influenza virus (AIV) by cell culture and embryonating egg culture were negative. Seven wells were positive by PCR for a poultry-specific parvovirus, thus providing corroborating evidence of virus transport pathways between poultry fecal wastes and groundwater. Our data suggest it is possible for AIV to be transported to groundwater, and during an outbreak, the potential for poultry farm wells to become contaminated with AIV should be considered.","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.estlett.7b00128","usgsCitation":"Borchardt, M.A., Spencer, S.K., Hubbard, L.E., Firnstahl, A.D., Stokdyk, J.P., and Kolpin, D.W., 2017, Avian influenza virus RNA in groundwater wells supplying poultry farms affected by the 2015 influenza outbreak: Environmental Science & Technology Letters, v. 4, no. 7, p. 268-272, https://doi.org/10.1021/acs.estlett.7b00128.","productDescription":"5 p.","startPage":"268","endPage":"272","ipdsId":"IP-078487","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":343120,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa, 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\"}}]}","volume":"4","issue":"7","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-31","publicationStatus":"PW","scienceBaseUri":"595611b2e4b0d1f9f050674b","contributors":{"authors":[{"text":"Borchardt, Mark A. 0000-0002-6471-2627","orcid":"https://orcid.org/0000-0002-6471-2627","contributorId":151033,"corporation":false,"usgs":false,"family":"Borchardt","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":702406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Spencer, Susan K.","contributorId":181738,"corporation":false,"usgs":false,"family":"Spencer","given":"Susan","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":702407,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hubbard, Laura E. 0000-0003-3813-1500 lhubbard@usgs.gov","orcid":"https://orcid.org/0000-0003-3813-1500","contributorId":4221,"corporation":false,"usgs":true,"family":"Hubbard","given":"Laura","email":"lhubbard@usgs.gov","middleInitial":"E.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":702405,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Firnstahl, Aaron D. 0000-0003-2686-7596 afirnstahl@usgs.gov","orcid":"https://orcid.org/0000-0003-2686-7596","contributorId":168296,"corporation":false,"usgs":true,"family":"Firnstahl","given":"Aaron","email":"afirnstahl@usgs.gov","middleInitial":"D.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":702408,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stokdyk, Joel P. 0000-0003-2887-6277 jstokdyk@usgs.gov","orcid":"https://orcid.org/0000-0003-2887-6277","contributorId":193848,"corporation":false,"usgs":true,"family":"Stokdyk","given":"Joel","email":"jstokdyk@usgs.gov","middleInitial":"P.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":702409,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":702410,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70187987,"text":"70187987 - 2017 - Doubling of coastal flooding frequency within decades due to sea-level rise","interactions":[],"lastModifiedDate":"2017-05-26T10:58:06","indexId":"70187987","displayToPublicDate":"2017-05-26T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Doubling of coastal flooding frequency within decades due to sea-level rise","docAbstract":"Global climate change drives sea-level rise, increasing the frequency of coastal flooding. In most coastal regions, the amount of sea-level rise occurring over years to decades is significantly smaller than normal ocean-level fluctuations caused by tides, waves, and storm surge. However, even gradual sea-level rise can rapidly increase the frequency and severity of coastal flooding. So far, global-scale estimates of increased coastal flooding due to sea-level rise have not considered elevated water levels due to waves, and thus underestimate the potential impact. Here we use extreme value theory to combine sea-level projections with wave, tide, and storm surge models to estimate increases in coastal flooding on a continuous global scale. We find that regions with limited water-level variability, i.e., short-tailed flood-level distributions, located mainly in the Tropics, will experience the largest increases in flooding frequency. The 10 to 20 cm of sea-level rise expected no later than 2050 will more than double the frequency of extreme water-level events in the Tropics, impairing the developing economies of equatorial coastal cities and the habitability of low-lying Pacific island nations.
","language":"English","publisher":"Nature","doi":"10.1038/s41598-017-01362-7","usgsCitation":"Vitousek, S., Barnard, P., Fletcher, C., Frazer, N., Erikson, L.H., and Storlazzi, C., 2017, Doubling of coastal flooding frequency within decades due to sea-level rise: Scientific Reports, v. 7, p. 1-9, https://doi.org/10.1038/s41598-017-01362-7.","productDescription":"Article number: 1399; 9 p.","startPage":"1","endPage":"9","ipdsId":"IP-066932","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469824,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-017-01362-7","text":"Publisher Index Page"},{"id":341793,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-18","publicationStatus":"PW","scienceBaseUri":"59293e92e4b016f7a94076e3","contributors":{"authors":[{"text":"Vitousek, Sean 0000-0002-3369-4673 svitousek@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-4673","contributorId":149065,"corporation":false,"usgs":true,"family":"Vitousek","given":"Sean","email":"svitousek@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":696158,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":138921,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":696159,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fletcher, Charles H.","contributorId":30286,"corporation":false,"usgs":true,"family":"Fletcher","given":"Charles H.","affiliations":[],"preferred":false,"id":696160,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frazer, Neil","contributorId":192305,"corporation":false,"usgs":false,"family":"Frazer","given":"Neil","email":"","affiliations":[],"preferred":false,"id":696161,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":696162,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490 cstorlazzi@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":2333,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt D.","email":"cstorlazzi@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":696163,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70187975,"text":"70187975 - 2017 - Declines in low-elevation subalpine tree populations outpace growth in high-elevation populations with warming","interactions":[],"lastModifiedDate":"2017-11-22T16:56:07","indexId":"70187975","displayToPublicDate":"2017-05-26T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Declines in low-elevation subalpine tree populations outpace growth in high-elevation populations with warming","docAbstract":"Anthropogenic climate change is driving sea level rise, leading to numerous impacts on the coastal zone, such as increased coastal flooding, beach erosion, cliff failure, saltwater intrusion in aquifers, and groundwater inundation. Many beaches around the world are currently experiencing chronic erosion as a result of gradual, present-day rates of sea level rise (about 3 mm/year) and human-driven restrictions in sand supply (e.g., harbor dredging and river damming). Accelerated sea level rise threatens to worsen coastal erosion and challenge the very existence of natural beaches throughout the world. Understanding and predicting the rates of sea level rise and coastal erosion depends on integrating data on natural systems with computer simulations. Although many computer modeling approaches are available to simulate shoreline change, few are capable of making reliable long-term predictions needed for full adaption or to enhance resilience. Recent advancements have allowed convincing decadal to centennial-scale predictions of shoreline evolution. For example, along 500 km of the Southern California coast, a new model featuring data assimilation predicts that up to 67% of beaches may completely erode by 2100 without large-scale human interventions. In spite of recent advancements, coastal evolution models must continue to improve in their theoretical framework, quantification of accuracy and uncertainty, computational efficiency, predictive capability, and integration with observed data, in order to meet the scientific and engineering challenges produced by a changing climate.
","language":"English","publisher":"AGU","doi":"10.1002/2017JF004308","usgsCitation":"Vitousek, S., Barnard, P., and Limber, P.W., 2017, Can beaches survive climate change?: Journal of Geophysical Research F: Earth Surface, v. 122, no. 4, p. 1060-1067, https://doi.org/10.1002/2017JF004308.","productDescription":"8 p.","startPage":"1060","endPage":"1067","ipdsId":"IP-086025","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":469825,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017jf004308","text":"Publisher Index Page"},{"id":341796,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"122","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-04-29","publicationStatus":"PW","scienceBaseUri":"59293e93e4b016f7a94076ed","contributors":{"authors":[{"text":"Vitousek, Sean","contributorId":11453,"corporation":false,"usgs":true,"family":"Vitousek","given":"Sean","affiliations":[],"preferred":false,"id":696141,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":138921,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","email":"pbarnard@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":696142,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Limber, Patrick W. 0000-0002-8207-3750 plimber@usgs.gov","orcid":"https://orcid.org/0000-0002-8207-3750","contributorId":5773,"corporation":false,"usgs":true,"family":"Limber","given":"Patrick","email":"plimber@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":696140,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70186903,"text":"ofr20161050 - 2017 - Water-quality and lake-stage data for Wisconsin lakes, water years 2012–2013","interactions":[],"lastModifiedDate":"2018-02-06T11:47:04","indexId":"ofr20161050","displayToPublicDate":"2017-05-25T15:45:00","publicationYear":"2017","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":"2016-1050","title":"Water-quality and lake-stage data for Wisconsin lakes, water years 2012–2013","docAbstract":"The U.S. Geological Survey (USGS), in cooperation with local and other agencies, collects data at selected lakes throughout Wisconsin. These data, accumulated over many years, provide a data base for developing an improved understanding of the water quality of lakes. To make these data available to interested parties outside the USGS, the data are published annually in this report series. The locations of water-quality and lake-stage stations in Wisconsin for water year 2012 are shown in figure 1. A water year is the 12-month period from October 1 through September 30. It is designated by the calendar year in which it ends. Thus, the period October 1, 2011 through September 30, 2012, is called “water year 2012.”
The purpose of this report is to provide information about the chemical and physical characteristics of Wisconsin lakes. Data that have been collected at specific lakes, and information to aid in the interpretation of those data, are included in this report. Data collected include measurements of in-lake water quality and lake stage. Time series of Secchi depths, surface total phosphorus and chlorophyll a concentrations collected during non-frozen periods are included for all lakes. Graphs of vertical profiles of temperature, dissolved oxygen, pH, and specific conductance are included for sites where these parameters were measured. Descriptive information for each lake includes: location of the lake, area of the lake’s watershed, period for which data are available, revisions to previously published records, and pertinent remarks. Additional data, such as streamflow and water quality in tributary and outlet streams of some of the lakes, are published online at http://nwis.waterdata.usgs.gov/wi/nwis.
Water-resources data, including stage and discharge data at most streamflow-gaging stations, are available online. The Wisconsin Water Science Center’s home page is at https://www.usgs.gov/centers/wisconsin-water-science-center. Information on the Wisconsin Water Science Center’s Lakes Program is found at http://wi.water.usgs.gov/lakes/index.html and http://wi.water.usgs.gov/projects/index.html.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20161050","collaboration":"Prepared in cooperation with the State of Wisconsin and with other agencies","usgsCitation":"Manteufel, S.B., and Robertson, D.M., 2017, Water-quality and lake-stage data for Wisconsin lakes, water years 2012–2013: U.S. Geological Survey Open-File Report 2016–1050, 320 p., https://doi.org/10.3133/ofr20161050.","productDescription":"vi, 153 p.","numberOfPages":"323","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-066231","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":341495,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/preview/ofr20161131","text":"Open-File Report 2016–1131","linkHelpText":"- Water-Quality and Lake-Stage Data for Wisconsin Lakes, Water Year 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\"}}]}","contact":"Director, Wisconsin Water Science Center
U.S. Geological Survey
8505 Research Way
Middleton, WI 53562
The U.S. Geological Survey (USGS), in cooperation with local and other agencies, collects data at selected lakes throughout Wisconsin. These data, accumulated over many years, provide a database for developing an improved understanding of the water quality of lakes. To make these data available to interested parties outside the USGS, the data are published annually in this report series. The locations of water-quality and lake-stage stations in Wisconsin for water year 2014 are shown in figure 1. A water year is the 12-month period from October 1 through September 30. It is designated by the calendar year in which it ends. Thus, the period
October 1, 2013, through September 30, 2014, is called “water year 2014.”
The purpose of this report is to provide information about the chemical and physical characteristics of Wisconsin lakes. Data that have been collected at specific lakes, and information to aid in the interpretation of those data, are included in this report. Data collected include measurements of in-lake water quality and lake stage. Time series of Secchi depths, surface total phosphorus, and chlorophyll a concentrations collected during nonfrozen periods are included for many lakes. Graphs of vertical profiles of temperature, dissolved oxygen, pH, and specific conductance are included for sites where these parameters were measured. Descriptive information for each lake includes the location of the lake, area of the lake’s watershed, period for which data are available, revisions to previously published records, and pertinent remarks. Additional data, such as streamflow and water quality in tributary and outlet streams of some of the lakes, are published online at http://nwis.waterdata.usgs.gov/wi/nwis.
Water-resources data, including stage and discharge data at most streamflow-gaging stations, are available online. The Wisconsin Water Science Center’s home page is at https://www.usgs.gov/centers/wisconsin-water-science-center. Information about the Wisconsin Water Science Center’s Lakes Program is found at http://wi.water.usgs.gov/lakes/index.html and http://wi.water.usgs.gov/projects/index.html.
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\"}}]}","contact":"Director, Wisconsin Water Science Center
U.S. Geological Survey
8505 Research Way
Middleton, WI 53562
U.S. Geological Survey scientists and technical support staff measured oceanographic, waterquality, seabed-elevation-change, and meteorological parameters in Chincoteague Bay, Maryland and Virginia, during the period of August 13, 2014, to July 14, 2015, as part of the Estuarine Physical Response to Storms project (GS2–2D) supported by the Department of the Interior Hurricane Sandy recovery program. These measurements provide time series data that quantify the response and can be used to better understand the resilience of this back-barrier estuarine system to storms. The Assateague Island National Seashore (National Park Service) and the Chincoteague National Wildlife Refuge (U.S. Fish and Wildlife Service) are on the east side of Chincoteague Bay.
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U.S. Geological Survey
384 Woods Hole Road
Quissett Campus
Woods Hole, MA 02543