1. Crayfish represent one of the most imperilled animal groups on the planet. Habitat degradation, destruction and fragmentation, introduction of invasive crayfishes, and a lack of applied biological information have all been identified as agents thwarting crayfish conservation.
2. Cambarus callainus was warranted federal protection by the United States Fish and Wildlife Service (USFWS) in April, 2016. As part of the USFWS listing procedure, a survey for C. callainus in the Big Sandy River catchment was conducted to determine points of occurrence with a secondary objective of determining reach level physical habitat and physicochemical correlates of C. callainus presence and absence.
3. At each site, physicochemical and physical habitat data were collected to determine the influence of abiotic covariates on the presence of C. callainus. Cambarus callainus presence or absence and associated site covariates were modelled using logistic regression.
4. Survey results recorded C. callainus at 39 sites in the Upper Levisa Fork (ULF) and Tug Fork (TF) drainages of the Big Sandy River; no C. callainus were collected in the Lower Levisa Fork (LLF). An additive effects model of physical habitat quality (Basin + Boulder presence/embeddedness) was the only model selected, supporting an association of C. callainus with slab boulders, open interstitial spaces, and moderate to no sedimentation. All sites lacking C. callainus were experiencing some degree of sedimentation. Physicochemical covariates were not supported by the data.
5. Results indicated that good quality habitat was lacking in the LLF, but was present in the ULF and TF catchments, with ULF supporting the most robust populations and most suitable habitat. Effective conservation for C. callainus should focus on efforts that limit sedimentation as well as restore good quality instream habitat in the greater Big Sandy catchment.
","language":"English","publisher":"Wiley","doi":"10.1002/aqc.2746","usgsCitation":"Loughman, Z.J., Welsh, S., Sadecky, N., Dillard, Z.W., and Scott, R.K., 2017, Evaluation of physicochemical and physical habitat associations for Cambarus callainus (Big Sandy crayfish), an imperilled crayfish endemic to the Central Appalachians: Aquatic Conservation: Marine and Freshwater Ecosystems, v. 27, no. 4, p. 755-763, https://doi.org/10.1002/aqc.2746.","productDescription":"9 p.","startPage":"755","endPage":"763","ipdsId":"IP-078756","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":335188,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kentucky, Virginia, West Virginia","otherGeospatial":"Big Sandy river catchment, Levisa Fork river, Tug Fork river ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.6007080078125,\n 37.223767535823576\n ],\n [\n -81.5350341796875,\n 37.223767535823576\n ],\n [\n -81.5350341796875,\n 37.81195385919268\n ],\n [\n -82.6007080078125,\n 37.81195385919268\n ],\n [\n -82.6007080078125,\n 37.223767535823576\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"27","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-03-16","publicationStatus":"PW","scienceBaseUri":"589fff3be4b099f50d3e0455","contributors":{"authors":[{"text":"Loughman, Zachary J.","contributorId":76157,"corporation":false,"usgs":false,"family":"Loughman","given":"Zachary","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":663411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Welsh, Stuart A. 0000-0003-0362-054X swelsh@usgs.gov","orcid":"https://orcid.org/0000-0003-0362-054X","contributorId":152088,"corporation":false,"usgs":true,"family":"Welsh","given":"Stuart A.","email":"swelsh@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":663162,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sadecky, Nicole M.","contributorId":179375,"corporation":false,"usgs":false,"family":"Sadecky","given":"Nicole M.","affiliations":[],"preferred":false,"id":663412,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dillard, Zachary W.","contributorId":179376,"corporation":false,"usgs":false,"family":"Dillard","given":"Zachary","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":663413,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Scott, R. 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We asked whether biological or climatic factors constrain certain species from crossing this geographic barrier. Analyzing a comprehensive dataset for 80 boreal passerine species, we used phylogenetic logistic regression to evaluate the relative importance of physical, migratory and competition metrics versus current and paleoclimatic suitability factors. Controlling for current climatic suitability within boreal Alaska, we found that species with the greatest climatic suitability across the northwestern cordillera, presently and also during the mid-Holocene period, were most likely to be regular breeders in the Alaskan boreal region. Migratory strategy also played a role, but could not be disentangled from its strong phylogenetic basis. Our analysis suggests that the perceived barrier of the northwestern cordillera may be easily weakened as climate change improves conditions there for many forest species. The weakening of this barrier may lead to relatively rapid range expansions and the reshuffling of species communities. Species’ realized distributional shifts will be a function of the interplay between a changing climate and static topographic features.
","language":"English","publisher":"Wiley","doi":"10.1111/ecog.02393","usgsCitation":"Stralberg, D., Matsuoka, S.M., Handel, C.M., Schmiegelow, F.K., Hamann, A., and Bayne, E.M., 2017, Biogeography of boreal passerine range dynamics in western North America: past, present, and future: Ecography: Pattern and Diversity in Ecology, v. 40, no. 9, p. 1050-1066, https://doi.org/10.1111/ecog.02393.","productDescription":"17 p.","startPage":"1050","endPage":"1066","ipdsId":"IP-076123","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":336723,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"9","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-26","publicationStatus":"PW","scienceBaseUri":"58b7eba7e4b01ccd5500bb0d","contributors":{"authors":[{"text":"Stralberg, Diana","contributorId":187413,"corporation":false,"usgs":false,"family":"Stralberg","given":"Diana","email":"","affiliations":[],"preferred":false,"id":680372,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matsuoka, Steven M. 0000-0001-6415-1885 smatsuoka@usgs.gov","orcid":"https://orcid.org/0000-0001-6415-1885","contributorId":184173,"corporation":false,"usgs":true,"family":"Matsuoka","given":"Steven","email":"smatsuoka@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":673712,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Handel, Colleen M. 0000-0002-0267-7408 cmhandel@usgs.gov","orcid":"https://orcid.org/0000-0002-0267-7408","contributorId":3067,"corporation":false,"usgs":true,"family":"Handel","given":"Colleen","email":"cmhandel@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":673711,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmiegelow, Fiona K.A.","contributorId":187414,"corporation":false,"usgs":false,"family":"Schmiegelow","given":"Fiona","email":"","middleInitial":"K.A.","affiliations":[],"preferred":false,"id":680373,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hamann, Andreas","contributorId":187415,"corporation":false,"usgs":false,"family":"Hamann","given":"Andreas","email":"","affiliations":[],"preferred":false,"id":680374,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bayne, Erin M.","contributorId":140675,"corporation":false,"usgs":false,"family":"Bayne","given":"Erin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":680375,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70176117,"text":"70176117 - 2017 - The genetic basis of anoxygenic photosynthetic arsenite oxidation","interactions":[],"lastModifiedDate":"2017-01-27T11:34:57","indexId":"70176117","displayToPublicDate":"2016-08-26T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1548,"text":"Environmental Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"The genetic basis of anoxygenic photosynthetic arsenite oxidation","docAbstract":"“Photoarsenotrophy”, the use of arsenite as an electron donor for anoxygenic photosynthesis, is thought to be an ancient form of phototrophy along with the photosynthetic oxidation of Fe(II), H2S, H2, and NO2-. Photoarsenotrophy was recently identified from Paoha Island's (Mono Lake, CA) arsenic-rich hot springs. The genomes of several photoarsenotrophs revealed a gene cluster, arxB2AB1CD, where arxA is predicted to encode for the sole arsenite oxidase. The role of arxA in photosynthetic arsenite oxidation was confirmed by disrupting the gene in a representative photoarsenotrophic bacterium, resulting in the loss of light-dependent arsenite oxidation. In situ evidence of active photoarsenotrophic microbes was supported by arxA mRNA detection for the first time, in red-pigmented microbial mats within the hot springs of Paoha Island. This work expands on the genetics for photosynthesis coupled to new electron donors and elaborates on known mechanisms for arsenic metabolism, thereby highlighting the complexities of arsenic biogeochemical cycling.
","language":"English","publisher":"Society for Applied Microbiology","doi":"10.1111/1462-2920.13509","usgsCitation":"Hernandez-Maldonado, J., Sanchez-Sedillo, B., Stoneburner, B., Boren, A., Miller, L., McCann, S., Rosen, M.R., Oremland, R.S., and Saltikov, C.W., 2017, The genetic basis of anoxygenic photosynthetic arsenite oxidation: Environmental Microbiology, v. 19, no. 1, p. 130-141, https://doi.org/10.1111/1462-2920.13509.","productDescription":"12 p.","startPage":"130","endPage":"141","ipdsId":"IP-075255","costCenters":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"links":[{"id":461841,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5967609","text":"External Repository"},{"id":327895,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"19","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-10-06","publicationStatus":"PW","scienceBaseUri":"57c15a21e4b0f2f0ceb8baa5","contributors":{"authors":[{"text":"Hernandez-Maldonado, Jamie","contributorId":174069,"corporation":false,"usgs":false,"family":"Hernandez-Maldonado","given":"Jamie","affiliations":[{"id":27354,"text":"University of California Santa Cruz, Department of Microbiology and Environmental Toxicology","active":true,"usgs":false}],"preferred":false,"id":647160,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sanchez-Sedillo, Benjamin","contributorId":174070,"corporation":false,"usgs":false,"family":"Sanchez-Sedillo","given":"Benjamin","email":"","affiliations":[{"id":27354,"text":"University of California Santa Cruz, Department of Microbiology and Environmental Toxicology","active":true,"usgs":false}],"preferred":false,"id":647161,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stoneburner, Brendon","contributorId":174071,"corporation":false,"usgs":false,"family":"Stoneburner","given":"Brendon","email":"","affiliations":[{"id":27354,"text":"University of California Santa Cruz, Department of Microbiology and Environmental Toxicology","active":true,"usgs":false}],"preferred":false,"id":647162,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boren, Alison","contributorId":174072,"corporation":false,"usgs":false,"family":"Boren","given":"Alison","email":"","affiliations":[],"preferred":false,"id":647167,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, Laurence G. 0000-0002-7807-3475 lgmiller@usgs.gov","orcid":"https://orcid.org/0000-0002-7807-3475","contributorId":2460,"corporation":false,"usgs":true,"family":"Miller","given":"Laurence G.","email":"lgmiller@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - 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Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":647159,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Saltikov, Chad W.","contributorId":66110,"corporation":false,"usgs":true,"family":"Saltikov","given":"Chad","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":647166,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70178065,"text":"70178065 - 2017 - Bait type influences on catch and bycatch in tandem hoop nets set in reservoirs","interactions":[],"lastModifiedDate":"2016-11-10T09:07:00","indexId":"70178065","displayToPublicDate":"2016-08-25T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"title":"Bait type influences on catch and bycatch in tandem hoop nets set in reservoirs","docAbstract":"Tandem hoop nets have become the primary gear for sampling channel catfish Ictalurus punctatus, but suffer from high incidences of bycatch, particularly aquatic turtles that usually drown as a result. We sought to determine if bait type, ZOTE© soap and ground cheese logs, would influence catch of channel catfish (CPUE and mean TL) and bycatch of fishes and aquatic turtles. We sampled with tandem hoop nets in 13 Kentucky reservoirs (5–73 ha) using a crossover design and two sampling events. We found no difference in channel catfish catch rates between bait types, but mean sizes of fish caught using ZOTE© soap were approximately 24 mm longer compared to cheese. Fish bycatch was similar between bait types, but tandem hoop nets baited with ZOTE© soap caught up to 61% fewer turtles and mortality of turtles that were captured was up to 12% lower than those baited with cheese. Depth of net set, water temperature, and Secchi depth were environmental factors measured that affected catch and bycatch, but varied among species. Using ZOTE© soap as bait in tandem hoop nets appears to be a fairly simple and straightforward method for maintaining high catch rates of channel catfish while minimizing turtle mortality.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2016.08.014","usgsCitation":"Long, J.M., Stewart, D., Shiflet, J., Balsman, D., and Shoup, D.E., 2017, Bait type influences on catch and bycatch in tandem hoop nets set in reservoirs: Fisheries Research, v. 186, no. 1, p. 102-108, https://doi.org/10.1016/j.fishres.2016.08.014.","productDescription":"7 p.","startPage":"102","endPage":"108","ipdsId":"IP-062110","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":330641,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kentucky","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -84.35302734375,\n 39.036252959636606\n ],\n [\n -84.26513671875,\n 38.8824811975508\n ],\n [\n -84.122314453125,\n 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Jeremy","contributorId":176533,"corporation":false,"usgs":false,"family":"Shiflet","given":"Jeremy","email":"","affiliations":[],"preferred":false,"id":652697,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Balsman, Dane","contributorId":176534,"corporation":false,"usgs":false,"family":"Balsman","given":"Dane","email":"","affiliations":[],"preferred":false,"id":652698,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shoup, Daniel E.","contributorId":141325,"corporation":false,"usgs":false,"family":"Shoup","given":"Daniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":652699,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70175520,"text":"70175520 - 2017 - Evaluating alternative methods for biophysical and cultural ecosystem services hotspot mapping in natural resource planning","interactions":[],"lastModifiedDate":"2017-01-19T14:11:04","indexId":"70175520","displayToPublicDate":"2016-08-16T11:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2602,"text":"Landscape Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating alternative methods for biophysical and cultural ecosystem services hotspot mapping in natural resource planning","docAbstract":"Context
\nData for biophysically modeled and Public Participatory GIS (PPGIS)-derived cultural ecosystem services have potential to identify natural resource management synergies and conflicts, but have rarely been combined. Ecosystem service hot/coldspots generated using different methods vary in their spatial extent and connectivity, with important implications.
\nObjectives
\nWe map biophysically modeled and PPGIS-derived cultural services for six U.S. national forests using six hot/coldspot delineation methods. We evaluate the implications of hotspot methods for management within and outside of designated wilderness areas.
\nMethods
\nWe used the ARIES and SolVES modeling tools to quantify four biophysically modeled and 11 largely cultural ecosystem services for six national forests in Colorado and Wyoming, USA. We mapped hot/coldspots using two quantile methods (top and bottom 10 and 33 % of values), two area-based methods (top and bottom 10 and 33 % of area), and two statistical methods (Getis-Ord Gi* at α = 0.05 and 0.10 significance level) and compare results within and outside wilderness areas.
\nResults
\nDelineation methods vary in their degree of conservatism for hot/coldspot extents and spatial clustering. Hotspots were more common in wilderness areas in national forests near the more densely populated Colorado Front Range, while coldspots were more common in wilderness areas in more urban-distant forests in northwest Wyoming.
\nConclusions
\nStatistical hotspot methods of intermediate conservatism (i.e., Getis-Ord Gi*, α = 0.10 significance) may be most useful for ecosystem service hot/coldspot mapping to inform landscape scale planning. We also found spatially explicit evidence in support of past findings about public attitudes toward wilderness areas.
","language":"English","publisher":"International Association of Landscape Ecology","doi":"10.1007/s10980-016-0430-6","usgsCitation":"Bagstad, K.J., Semmens, D.J., Ancona, Z.H., and Sherrouse, B.C., 2017, Evaluating alternative methods for biophysical and cultural ecosystem services hotspot mapping in natural resource planning: Landscape Ecology, v. 32, no. 1, p. 77-97, https://doi.org/10.1007/s10980-016-0430-6.","productDescription":"21 p.","startPage":"77","endPage":"97","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-065847","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":326546,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-08-11","publicationStatus":"PW","scienceBaseUri":"57b42b30e4b03bcb01039f8c","chorus":{"doi":"10.1007/s10980-016-0430-6","url":"http://dx.doi.org/10.1007/s10980-016-0430-6","publisher":"Springer Nature","authors":"Bagstad Kenneth J., Semmens Darius J., Ancona Zachary H., Sherrouse Benson C.","journalName":"Landscape Ecology","publicationDate":"8/11/2016","auditedOn":"2/15/2017","publiclyAccessibleDate":"8/11/2016"},"contributors":{"authors":[{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":645553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Semmens, Darius J. 0000-0001-7924-6529 dsemmens@usgs.gov","orcid":"https://orcid.org/0000-0001-7924-6529","contributorId":1714,"corporation":false,"usgs":true,"family":"Semmens","given":"Darius","email":"dsemmens@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":645554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ancona, Zachary H. 0000-0001-5430-0218 zancona@usgs.gov","orcid":"https://orcid.org/0000-0001-5430-0218","contributorId":5578,"corporation":false,"usgs":true,"family":"Ancona","given":"Zachary","email":"zancona@usgs.gov","middleInitial":"H.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":645555,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sherrouse, Benson C. 0000-0002-5102-5895 bcsherrouse@usgs.gov","orcid":"https://orcid.org/0000-0002-5102-5895","contributorId":2445,"corporation":false,"usgs":true,"family":"Sherrouse","given":"Benson","email":"bcsherrouse@usgs.gov","middleInitial":"C.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":645556,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70175488,"text":"70175488 - 2017 - Habitat drives dispersal and survival of translocated juvenile desert tortoises","interactions":[],"lastModifiedDate":"2017-03-22T15:08:53","indexId":"70175488","displayToPublicDate":"2016-08-15T14:30:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Habitat drives dispersal and survival of translocated juvenile desert tortoises","docAbstract":"1.In spite of growing reliance on translocations in wildlife conservation, translocation efficacy remains inconsistent. One factor that can contribute to failed translocations is releasing animals into poor quality or otherwise inadequate habitat.
\n2.Here we used a targeted approach to test the relationship of habitat features to post-translocation dispersal and survival of juvenile Mojave desert tortoises Gopherus agassizii.
\n3.We selected three habitat characteristics—rodent burrows, substrate texture (prevalence and size of rocks), and washes (ephemeral river beds)–that are tied to desert tortoise ecology. At the point of release, we documented rodent burrow abundance, substrate texture, and wash presence and analysed their relationship to maximum dispersal. We also documented relative use by each individual for each habitat characteristic and analysed their relationships with survival and fatal encounters with a predator in the first year after release.
\n4.In general, the presence of refugia or other areas that enabled animals to avoid detection, such as burrows and substrate, decreased overall mortality as well as predator-mediated mortality. The presence of washes and substrate that enhanced the tortoises’ ability to avoid detection also associated with reduced dispersal away from the release site. These results indicate an important role for all three measured habitat characteristics in driving dispersal, survival, or fatal encounters with a predator in the first year after translocation.
\n5.Synthesis and applications. Resource managers using translocations as a conservation tool should prioritize acquiring data linking habitat to fitness. In particular, for species that depend on avoiding detection, refuges such as burrows and habitat that improved concealment had notable ability to improve survival and dispersal. Our study on juvenile Mojave desert tortoises showed that refuge availability or the distributions of habitat appropriate for concealment are important considerations for identifying translocation sites for species highly dependent on crypsis, camouflage, or other forms of habitat matching.
","language":"English","publisher":"Wiley","doi":"10.1111/1365-2664.12774","usgsCitation":"Nafus, A., Esque, T., Averill-Murray, R., Nussear, K.E., and Swaisgood, R.R., 2017, Habitat drives dispersal and survival of translocated juvenile desert tortoises: Journal of Applied Ecology, v. 54, no. 2, p. 430-438, https://doi.org/10.1111/1365-2664.12774.","productDescription":"9 p.","startPage":"430","endPage":"438","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-077837","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":470237,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.12774","text":"Publisher Index Page"},{"id":326485,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"2","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2016-09-19","publicationStatus":"PW","scienceBaseUri":"57b2d9a7e4b03bcb010287bc","contributors":{"authors":[{"text":"Nafus, Aleta","contributorId":167781,"corporation":false,"usgs":false,"family":"Nafus","given":"Aleta","email":"","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":true,"id":645443,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Esque, Todd C. 0000-0002-4166-6234 tesque@usgs.gov","orcid":"https://orcid.org/0000-0002-4166-6234","contributorId":168763,"corporation":false,"usgs":true,"family":"Esque","given":"Todd C.","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":false,"id":645442,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Averill-Murray, Roy C.","contributorId":173687,"corporation":false,"usgs":false,"family":"Averill-Murray","given":"Roy C.","affiliations":[{"id":27274,"text":"US Fish and Wildlife Service, Desert Tortoise Recovery Office, Reno, NV","active":true,"usgs":false}],"preferred":false,"id":645444,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nussear, Kenneth E. knussear@usgs.gov","contributorId":2695,"corporation":false,"usgs":true,"family":"Nussear","given":"Kenneth","email":"knussear@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":645445,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Swaisgood, Ronald R.","contributorId":69490,"corporation":false,"usgs":false,"family":"Swaisgood","given":"Ronald","email":"","middleInitial":"R.","affiliations":[{"id":12762,"text":"San Diego Zoo Institure for Conservation Research","active":true,"usgs":false}],"preferred":false,"id":645446,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70175442,"text":"70175442 - 2017 - Numerical modeling of simultaneous tracer release and piscicide treatment for invasive species control in the Chicago Sanitary and Ship Canal, Chicago, Illinois","interactions":[],"lastModifiedDate":"2017-03-22T15:09:30","indexId":"70175442","displayToPublicDate":"2016-08-11T15:45:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5169,"text":"Environmental Fluid Mechanics","active":true,"publicationSubtype":{"id":10}},"title":"Numerical modeling of simultaneous tracer release and piscicide treatment for invasive species control in the Chicago Sanitary and Ship Canal, Chicago, Illinois","docAbstract":"In December 2009, during a piscicide treatment targeting the invasive Asian carp in the Chicago Sanitary and Ship Canal, Rhodamine WT dye was released to track and document the transport and dispersion of the piscicide. In this study, two modeling approaches are presented to reproduce the advection and dispersion of the dye tracer (and piscicide), a one-dimensional analytical solution and a three-dimensional numerical model. The two approaches were compared with field measurements of concentration and their applicability is discussed. Acoustic Doppler current profiler measurements were used to estimate the longitudinal dispersion coefficients at ten cross sections, which were taken as reference for calibrating the longitudinal dispersion coefficient in the one-dimensional analytical solution. While the analytical solution is fast, relatively simple, and can fairly accurately predict the core of the observed concentration time series at points downstream, it does not capture the tail of the breakthrough curves. These tails are well reproduced by the three-dimensional model, because it accounts for the effects of dead zones and a power plant which withdraws nearly 80 % of the water from the canal for cooling purposes before returning it back to the canal.
","language":"English","publisher":"Kluwer Academic Publishers","doi":"10.1007/s10652-016-9464-1","usgsCitation":"Zhu, Z., Motta, D., Jackson, P., and Garcia, M., 2017, Numerical modeling of simultaneous tracer release and piscicide treatment for invasive species control in the Chicago Sanitary and Ship Canal, Chicago, Illinois: Environmental Fluid Mechanics, v. 17, no. 2, p. 211-229, https://doi.org/10.1007/s10652-016-9464-1.","productDescription":"19 p.","startPage":"211","endPage":"229","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-072510","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":326409,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","city":"Chicago","otherGeospatial":"Chicago Sanitary and Ship Canal","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.99636840820312,\n 41.65239288426814\n ],\n [\n -87.99636840820312,\n 42.11859868281563\n ],\n [\n -87.528076171875,\n 42.11859868281563\n ],\n [\n -87.528076171875,\n 41.65239288426814\n ],\n [\n -87.99636840820312,\n 41.65239288426814\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"17","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-24","publicationStatus":"PW","scienceBaseUri":"57ad93a1e4b0d18356765100","contributors":{"authors":[{"text":"Zhu, Zhenduo","contributorId":83828,"corporation":false,"usgs":true,"family":"Zhu","given":"Zhenduo","affiliations":[],"preferred":false,"id":645266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Motta, Davide","contributorId":173610,"corporation":false,"usgs":false,"family":"Motta","given":"Davide","email":"","affiliations":[{"id":27130,"text":"UIUC","active":true,"usgs":false}],"preferred":false,"id":645267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jackson, P. Ryan pjackson@usgs.gov","contributorId":169284,"corporation":false,"usgs":true,"family":"Jackson","given":"P. Ryan","email":"pjackson@usgs.gov","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":false,"id":645268,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garcia, Marcelo H.","contributorId":74236,"corporation":false,"usgs":false,"family":"Garcia","given":"Marcelo H.","affiliations":[{"id":33106,"text":"University of Illinois at Urbana Champaign","active":true,"usgs":false}],"preferred":false,"id":645269,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70175425,"text":"70175425 - 2017 - A modeling approach to compare ΣPCB concentrations between congener-specific analyses","interactions":[],"lastModifiedDate":"2018-08-09T12:10:41","indexId":"70175425","displayToPublicDate":"2016-08-09T05:15:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"title":"A modeling approach to compare ΣPCB concentrations between congener-specific analyses","docAbstract":"Changes in analytical methods over time pose problems for assessing long-term trends in environmental contamination by polychlorinated biphenyls (PCBs). Congener-specific analyses vary widely in the number and identity of the 209 distinct PCB chemical configurations (congeners) that are quantified, leading to inconsistencies among summed PCB concentrations (ΣPCB) reported by different studies. Here we present a modeling approach using linear regression to compare ΣPCB concentrations derived from different congener-specific analyses measuring different co-eluting groups. The approach can be used to develop a specific conversion model between any two sets of congener-specific analytical data from similar samples (similar matrix and geographic origin). We demonstrate the method by developing a conversion model for an example data set that includes data from two different analytical methods, a low resolution method quantifying 119 congeners and a high resolution method quantifying all 209 congeners. We used the model to show that the 119-congener set captured most (93%) of the total PCB concentration (i.e., Σ209PCB) in sediment and biological samples. ΣPCB concentrations estimated using the model closely matched measured values (mean relative percent difference = 9.6). General applications of the modeling approach include (a) generating comparable ΣPCB concentrations for samples that were analyzed for different congener sets; and (b) estimating the proportional contribution of different congener sets to ΣPCB. This approach may be especially valuable for enabling comparison of long-term remediation monitoring results even as analytical methods change over time.
","language":"English","publisher":"SETAC","doi":"10.1002/ieam.1821","usgsCitation":"Gibson, P., Mills, M.A., Kraus, J.M., and Walters, D., 2017, A modeling approach to compare ΣPCB concentrations between congener-specific analyses: Integrated Environmental Assessment and Management, v. 13, no. 2, p. 227-232, https://doi.org/10.1002/ieam.1821.","productDescription":"6 p.","startPage":"227","endPage":"232","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071506","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"links":[{"id":326369,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-18","publicationStatus":"PW","scienceBaseUri":"57ac5033e4b0d1835674a983","contributors":{"authors":[{"text":"Gibson, Polly P.","contributorId":173584,"corporation":false,"usgs":true,"family":"Gibson","given":"Polly P.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":645142,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mills, Marc A.","contributorId":141085,"corporation":false,"usgs":false,"family":"Mills","given":"Marc","email":"","middleInitial":"A.","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":645143,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kraus, Johanna M. 0000-0002-9513-4129 jkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-9513-4129","contributorId":4834,"corporation":false,"usgs":true,"family":"Kraus","given":"Johanna","email":"jkraus@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":645139,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walters, David M. 0000-0002-4237-2158 waltersd@usgs.gov","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":4444,"corporation":false,"usgs":true,"family":"Walters","given":"David M.","email":"waltersd@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":645144,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192265,"text":"70192265 - 2017 - An exploratory assessment of thiamine status in western Alaska Chinook salmon (Oncorhynchus tshawytscha)","interactions":[],"lastModifiedDate":"2017-10-24T09:41:08","indexId":"70192265","displayToPublicDate":"2016-07-31T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5527,"text":"North Pacific Anadromous Fish Commission Bulletin","active":true,"publicationSubtype":{"id":10}},"displayTitle":"An exploratory assessment of thiamine status in western Alaska Chinook salmon (Oncorhynchus tshawytscha)","title":"An exploratory assessment of thiamine status in western Alaska Chinook salmon (Oncorhynchus tshawytscha)","docAbstract":"This study was conducted to investigate the thiamine status of Chinook salmon Oncorhynchus tshawytscha. Egg thiamine levels in Yukon and Kuskokwim River Chinook were examined in 2001 and 2012. Muscle and liver thiamine in Chinook, coho O. kisutch, chum O. keta, and pink O. gorbuscha salmon were measured in northern Bering Sea juveniles and the percentage of the diet containing thiaminase, an enzyme that destroys thiamine, was calculated. Only 23% of the eggs were thiamine replete (> 8.0 nmol·g-1) in 2012. Seventy-four percent of the eggs had thiamine concentrations (1.5–8.0 nmol·g-1) which can lead to mortality from secondary eff ects of thiamine defi ciency. Only 3% of the eggs had < 1.5 nmol·g-1 associated with overt fry mortality. In 2001 egg thiamine in upper Yukon Chinook was 11.7 nmol·g-1 which was higher than that measured in 2012 (6.2 nmol·g-1) and paralleled Chinook productivity. Total thiamine (nmol·g-1) in Bering Sea Chinook muscle (3.8) was similar to coho (4.15), but lower than in chum (8.9) and pink salmon (9.6). Thiaminase-containing prey in Chinook (63%) and coho (36%) stomachs were elevated compared to those of chum (3%) and pink (5%) salmon. These results provide evidence of egg thiamine being less than fully replete. Thiamine deficiency was not observed in juvenile muscle tissue, but differences were present among species reflecting the percentage of diet containing thiaminase. Additional studies are recommended.
","language":"English","publisher":"North Pacific Anadromous Fish Commission","doi":"10.23849/npafcb6/21.31","usgsCitation":"Honeyfield, D.C., Murphy, J.M., Howard, K.G., Strasburger, W.W., and Matz, A., 2017, An exploratory assessment of thiamine status in western Alaska Chinook salmon (Oncorhynchus tshawytscha): North Pacific Anadromous Fish Commission Bulletin, v. 6, p. 21-31, https://doi.org/10.23849/npafcb6/21.31.","productDescription":"11 p.","startPage":"21","endPage":"31","ipdsId":"IP-071348","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":470238,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.23849/npafcb6/21.31","text":"Publisher Index Page"},{"id":347189,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -171,\n 56\n ],\n [\n -131.923828125,\n 56\n ],\n [\n -131.923828125,\n 70.55417853776078\n ],\n [\n -171,\n 70.55417853776078\n ],\n [\n -171,\n 56\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"6","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-30","publicationStatus":"PW","scienceBaseUri":"59f05123e4b0220bbd9a1da5","contributors":{"authors":[{"text":"Honeyfield, Dale C. 0000-0003-3034-2047 honeyfie@usgs.gov","orcid":"https://orcid.org/0000-0003-3034-2047","contributorId":2774,"corporation":false,"usgs":true,"family":"Honeyfield","given":"Dale","email":"honeyfie@usgs.gov","middleInitial":"C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":715058,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, James M.","contributorId":172584,"corporation":false,"usgs":false,"family":"Murphy","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":715099,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Howard, Katherine G.","contributorId":198099,"corporation":false,"usgs":false,"family":"Howard","given":"Katherine","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":715100,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Strasburger, Wesley W.","contributorId":198100,"corporation":false,"usgs":false,"family":"Strasburger","given":"Wesley","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":715101,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Matz, A.C.","contributorId":101775,"corporation":false,"usgs":true,"family":"Matz","given":"A.C.","email":"","affiliations":[],"preferred":false,"id":715102,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70175119,"text":"70175119 - 2017 - Spatiotemporal distributions of intestinal helminths in female lesser scaup Aythya affinis during spring migration from the upper Midwest, USA","interactions":[],"lastModifiedDate":"2017-06-07T10:43:48","indexId":"70175119","displayToPublicDate":"2016-07-27T18:30:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5155,"text":"Journal of Helminthology","active":true,"publicationSubtype":{"id":10}},"title":"Spatiotemporal distributions of intestinal helminths in female lesser scaup Aythya affinis during spring migration from the upper Midwest, USA","docAbstract":"We examined the associations between intestinal helminth infracommunity structure and infection parameters and the age, size, and year and region of collection of 130 female lesser scaup (Aythya affinis) during their 2014–2015 spring migrations through the upper Midwest, USA. We identified a total of 647,174 individual helminths from 40 taxa, including 20 trematodes, 14 cestodes, 4 nematodes and 2 acanthocephalans parasitizing lesser scaup within the study area. Lesser scaup were each infected with 2–23 helminth taxa. One digenean, Plenosoma minimum, is reported for the first time in lesser scaup and in the Midwest. Mean trematode abundance and total helminth abundance was significantly less in 2015 than 2014, and we suspect that colder weather late in 2015 impacted the intermediate host fauna and caused the observed differences. Brillouin's species diversity of helminths was greatest in the northernmost region of the study area, which coincides with the range of a non-indigenous snail that indirectly causes annual mortality events of lesser scaup. While host age and size were not determined to be influential factors of helminth infracommunity structure, non-parametric ordination and permutational analysis of co-variance revealed that year and region of collection explained differences in helminth infracommunities. Our results suggest that spatiotemporal variations play an important role in the structure of intestinal helminth infracommunities found in migrating lesser scaup hosts, and may therefore impact host ability to build endogenous reserves at certain stopover locations in the Midwest.
","language":"English","publisher":"Cambridge University Press","doi":"10.1017/S0022149X16000493","usgsCitation":"England, J.C., Levengood, J., Osborn, J.M., Yetter, A.P., Kinsella, J.M., Cole, R.A., Cory D. Suski, and Hagy, H.M., 2017, Spatiotemporal distributions of intestinal helminths in female lesser scaup Aythya affinis during spring migration from the upper Midwest, USA: Journal of Helminthology, v. 91, no. 4, p. 479-490, https://doi.org/10.1017/S0022149X16000493.","productDescription":"12 p.","startPage":"479","endPage":"490","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-075763","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":325836,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"91","issue":"4","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-07-27","publicationStatus":"PW","scienceBaseUri":"579c7e2ce4b0589fa1ca1228","contributors":{"authors":[{"text":"England, J. C.","contributorId":173266,"corporation":false,"usgs":false,"family":"England","given":"J.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":643984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Levengood, J.M.","contributorId":57191,"corporation":false,"usgs":true,"family":"Levengood","given":"J.M.","affiliations":[],"preferred":false,"id":643985,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Osborn, J. M.","contributorId":173267,"corporation":false,"usgs":false,"family":"Osborn","given":"J.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":643986,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yetter, A. P.","contributorId":173268,"corporation":false,"usgs":false,"family":"Yetter","given":"A.","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":643987,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kinsella, J. M.","contributorId":63349,"corporation":false,"usgs":false,"family":"Kinsella","given":"J.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":643988,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cole, Rebecca A. 0000-0003-2923-1622 rcole@usgs.gov","orcid":"https://orcid.org/0000-0003-2923-1622","contributorId":2873,"corporation":false,"usgs":true,"family":"Cole","given":"Rebecca","email":"rcole@usgs.gov","middleInitial":"A.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":643976,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cory D. Suski","contributorId":169667,"corporation":false,"usgs":false,"family":"Cory D. 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The 32 residuals from stock-recruitment relationships revealed yellow perch recruitment to be correlated 33 with recruitment of both rainbow smelt (r = 0.37) and alewife (r = 0.36). Across all four species, 34 higher than expected recruitment occurred in 5 years between 1978 and 1987 and then switched 35 to lower than expected recruitment in 5 years between 1996 and 2004. Generalized additive 36 models revealed warmer spring and summer water temperatures and lower wind speeds 37 corresponded to higher than expected recruitment for the nearshore-spawning species, and 38 overall variance explained ranged from 14% (yellow perch) to 61% (alewife). For all species 39 but rainbow smelt, higher recruitment also occurred in extremely high or low years of the North 40 Atlantic Oscillation index. Future development of indices that describe the physical Great Lakes 41 environment could improve understanding of how climate can synchronize fish populations 42 within and across species.
","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2015-0534","usgsCitation":"Bunnell, D., Hook, T.O., Troy, C.D., Liu, W., Madenjian, C.P., and Adams, J.V., 2017, Testing for synchrony in recruitment among four Lake Michigan fish species: Canadian Journal of Fisheries and Aquatic Sciences, v. 74, no. 3, p. 306-315, https://doi.org/10.1139/cjfas-2015-0534.","productDescription":"10 p.","startPage":"306","endPage":"315","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070766","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":470239,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2015-0534","text":"External Repository"},{"id":325857,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Lakes","volume":"74","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a072c0e4b060ce18fb2e5d","contributors":{"authors":[{"text":"Bunnell, David B. 0000-0003-3521-7747 dbunnell@usgs.gov","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":169859,"corporation":false,"usgs":true,"family":"Bunnell","given":"David B.","email":"dbunnell@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":false,"id":644053,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hook, Tomas O.","contributorId":108404,"corporation":false,"usgs":true,"family":"Hook","given":"Tomas","email":"","middleInitial":"O.","affiliations":[],"preferred":false,"id":644054,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Troy, Cary D.","contributorId":169861,"corporation":false,"usgs":false,"family":"Troy","given":"Cary","email":"","middleInitial":"D.","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":644055,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Liu, Wentao","contributorId":173280,"corporation":false,"usgs":false,"family":"Liu","given":"Wentao","email":"","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":644056,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Madenjian, Charles P. 0000-0002-0326-164X cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":644057,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Adams, Jean V. 0000-0002-9101-068X jvadams@usgs.gov","orcid":"https://orcid.org/0000-0002-9101-068X","contributorId":3140,"corporation":false,"usgs":true,"family":"Adams","given":"Jean","email":"jvadams@usgs.gov","middleInitial":"V.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":644058,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70160876,"text":"70160876 - 2017 - Responses of invasive silver and bighead carp to a carbon dioxide barrier in outdoor ponds","interactions":[],"lastModifiedDate":"2017-02-24T11:06:27","indexId":"70160876","displayToPublicDate":"2016-07-27T09:30:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Responses of invasive silver and bighead carp to a carbon dioxide barrier in outdoor ponds","docAbstract":"Resource managers need for effective methods to prevent the movement of silver (Hypophthalmichthys molitrix) and bighead carp (H. nobilis) from the Mississippi River basin into the Laurentian Great Lakes. In this study, we evaluated dissolved carbon dioxide (CO2) as a barrier and deterrent to silver (278 ± 30.5 mm) and bighead (212 ± 7.7 mm) carp movement in continuous-flow outdoor ponds. As a barrier, CO2 significantly reduced upstream movement but was not 100% effective at blocking fish passage. As a deterrent, we observed a significant shift away from areas of high CO2 relative to normal movement before and after injection. Carbon dioxide concentrations varied across the pond during injection and reached maximum concentrations of 74.5±1.9 mg/L CO2; 29 532 – 41 393 µatm at the site of injection during three independent trials. We conclude that CO2 altered silver and bighead carp movement in outdoor ponds and recommend further research to determine barrier effectiveness during field applications.
","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2015-0472","usgsCitation":"Cupp, A.R., Erickson, R.A., Fredricks, K., Swyers, N.M., Hatton, T., and Amberg, J., 2017, Responses of invasive silver and bighead carp to a carbon dioxide barrier in outdoor ponds: Canadian Journal of Fisheries and Aquatic Sciences, v. 74, no. 3, p. 297-305, https://doi.org/10.1139/cjfas-2015-0472.","productDescription":"9 p.","startPage":"297","endPage":"305","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-067850","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":461845,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2015-0472","text":"External Repository"},{"id":438466,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90DIV0B","text":"USGS data release","linkHelpText":"Responses of invasive silver carp and bighead carp to a carbon dioxide barrier in outdoor ponds DATA"},{"id":325892,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"74","issue":"3","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"57a1c432e4b006cb45552c3d","contributors":{"authors":[{"text":"Cupp, Aaron R. 0000-0001-5995-2100 acupp@usgs.gov","orcid":"https://orcid.org/0000-0001-5995-2100","contributorId":5162,"corporation":false,"usgs":true,"family":"Cupp","given":"Aaron","email":"acupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":584122,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":584123,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fredricks, Kim T. 0000-0003-2363-7891 kfredricks@usgs.gov","orcid":"https://orcid.org/0000-0003-2363-7891","contributorId":5163,"corporation":false,"usgs":true,"family":"Fredricks","given":"Kim T.","email":"kfredricks@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":584124,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swyers, Nicholas M. nswyers@usgs.gov","contributorId":3571,"corporation":false,"usgs":true,"family":"Swyers","given":"Nicholas","email":"nswyers@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":584125,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hatton, Tyson thatton@usgs.gov","contributorId":3573,"corporation":false,"usgs":true,"family":"Hatton","given":"Tyson","email":"thatton@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":584126,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Amberg, Jon 0000-0002-8351-4861 jamberg@usgs.gov","orcid":"https://orcid.org/0000-0002-8351-4861","contributorId":149785,"corporation":false,"usgs":true,"family":"Amberg","given":"Jon","email":"jamberg@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":584127,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70189438,"text":"70189438 - 2017 - Interagency Coastal Wetlands Workgroup: Statement of purpose and goals","interactions":[],"lastModifiedDate":"2017-12-08T12:34:32","indexId":"70189438","displayToPublicDate":"2016-07-13T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Interagency Coastal Wetlands Workgroup: Statement of purpose and goals","docAbstract":"Purpose
The Interagency Coastal Wetlands Workgroup (ICWWG) helps to address coastal wetland loss by bringing together seven federal agencies with programs and authorities that support protection and management of coastal wetlands.
Background
Wetlands in coastal watersheds of the U.S. were lost at an average rate of 80,000 acres per year between 2004 and 2009. This is an increase from 59,000 acres per year between 1998 and 2004 as documented by the U.S. Fish and Wildlife Service (FWS) and National Oceanic and Atmospheric Administration (NOAA) in their reports on the Status and Trends of Wetlands in the Coastal Watersheds. The ICWWG was formed in 2009 in response to these loss trends. Coastal wetlands include saltwater and freshwater wetlands located within coastal watersheds — specifically USGS 8-digit watersheds which drain into the Atlantic, Pacific, or Gulf of Mexico.
","language":"English","publisher":"Interagency Coastal Wetlands Workgroup","usgsCitation":"Interagency Coastal Wetlands Workgroup, 2017, Interagency Coastal Wetlands Workgroup: Statement of purpose and goals, 1 p.","productDescription":"1 p.","ipdsId":"IP-074108","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":344704,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":344703,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://www.epa.gov/sites/production/files/2017-08/documents/icwwg_purpose_and_goals_fact_sheet_gen_pub.pdf"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"598c1f66e4b09fa1cb10013d","contributors":{"authors":[{"text":"Interagency Coastal Wetlands Workgroup","contributorId":195553,"corporation":true,"usgs":false,"organization":"Interagency Coastal Wetlands Workgroup","id":707423,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70159886,"text":"70159886 - 2017 - Groundwater-derived nutrient and trace element transport to a nearshore Kona coral ecosystem: Experimental mixing model results","interactions":[],"lastModifiedDate":"2017-07-05T09:28:58","indexId":"70159886","displayToPublicDate":"2016-06-30T15:30:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3823,"text":"Journal of Hydrology: Regional Studies","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater-derived nutrient and trace element transport to a nearshore Kona coral ecosystem: Experimental mixing model results","docAbstract":"Study region
The groundwater influenced coastal waters along the arid Kona coast of the Big Island, Hawai’i.
Study focus
A salinity-and phase partitioning-based mixing experiment was constructed using contrasting groundwater endmembers along the arid Konacoast of the Big Island, Hawai’i and local open seawater to better understand biogeochemical and physicochemical processes that influence the fate of submarine groundwater discharge (SGD)-derived nutrients and trace elements.
New Hydrological Insights for the Region
Treated wastewater effluent was the main source for nutrient enrichment downstream at the Honokōhau Harbor site. Conservative mixing for some constituents, such as nitrate + nitrite, illustrate the effectiveness of physical mixing to maintain oceanic concentrations in the colloid (0.02–0.45 μm) and truly dissolved (
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ejrh.2015.12.058","usgsCitation":"Prouty, N.G., Swarzenski, P.W., Fackrell, J., Johannesson, K., and Palmore, C., 2017, Groundwater-derived nutrient and trace element transport to a nearshore Kona coral ecosystem: Experimental mixing model results: Journal of Hydrology: Regional Studies, v. 11, p. 166-177, https://doi.org/10.1016/j.ejrh.2015.12.058.","productDescription":"12 p.","startPage":"166","endPage":"177","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059630","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":470240,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ejrh.2015.12.058","text":"Publisher Index Page"},{"id":324693,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Big Island, Honokōhau Harbor, Kaloko Bay, Kaloko-Honokōhau National Historical Park, Kīholo Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.04439735412598,\n 19.659562199692676\n ],\n [\n -156.04439735412598,\n 19.692536413365165\n ],\n [\n -156.00774765014648,\n 19.692536413365165\n ],\n [\n -156.00774765014648,\n 19.659562199692676\n ],\n [\n -156.04439735412598,\n 19.659562199692676\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5776349de4b07dd077c829bf","contributors":{"authors":[{"text":"Prouty, Nancy G. 0000-0002-8922-0688 nprouty@usgs.gov","orcid":"https://orcid.org/0000-0002-8922-0688","contributorId":3350,"corporation":false,"usgs":true,"family":"Prouty","given":"Nancy","email":"nprouty@usgs.gov","middleInitial":"G.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":580888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":580890,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fackrell, Joseph","contributorId":150170,"corporation":false,"usgs":false,"family":"Fackrell","given":"Joseph","affiliations":[{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":580889,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johannesson, Karen H.","contributorId":150171,"corporation":false,"usgs":false,"family":"Johannesson","given":"Karen H.","affiliations":[{"id":13500,"text":"Tulane University","active":true,"usgs":false}],"preferred":false,"id":580891,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Palmore, C. 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When mapping these aggregations, the map projection must inevitably distort relationships. This distortion can impact the reader’s ability to compare count and density measures across the map. Spatial binning, particularly via hexagons, is becoming a popular technique for displaying aggregate measures of point data sets. Increasingly, we see questionable use of the technique without attendant discussion of its hazards. In this work, we discuss when and why spatial binning works and how mapmakers can better understand the limitations caused by distortion from projecting to the plane. We introduce equations for evaluating distortion’s impact on one common projection (Web Mercator) and discuss how the methods used generalize to other projections. While we focus on hexagonal binning, these same considerations affect spatial bins of any shape, and more generally, any analysis of geographic data performed in planar space.
","language":"English","publisher":"Taylor and Francis","doi":"10.1080/15230406.2016.1180263","usgsCitation":"Battersby, S.E., Strebe, D., and Finn, M.P., 2017, Shapes on a plane: Evaluating the impact of projection distortion on spatial binning: Cartography and Geographic Information Science, v. 44, p. 410-421, https://doi.org/10.1080/15230406.2016.1180263.","productDescription":"12 p.","startPage":"410","endPage":"421","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070632","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":324674,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-16","publicationStatus":"PW","scienceBaseUri":"5776349de4b07dd077c829d1","contributors":{"authors":[{"text":"Battersby, Sarah E.","contributorId":138943,"corporation":false,"usgs":false,"family":"Battersby","given":"Sarah","email":"","middleInitial":"E.","affiliations":[{"id":12589,"text":"University of South Carolina/ Department of Geography","active":true,"usgs":false}],"preferred":false,"id":589875,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Strebe, Daniel","contributorId":152596,"corporation":false,"usgs":false,"family":"Strebe","given":"Daniel","email":"","affiliations":[{"id":18941,"text":"Tableau Inc.","active":true,"usgs":false}],"preferred":false,"id":589876,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finn, Michael P. 0000-0003-0415-2194 mfinn@usgs.gov","orcid":"https://orcid.org/0000-0003-0415-2194","contributorId":2657,"corporation":false,"usgs":true,"family":"Finn","given":"Michael","email":"mfinn@usgs.gov","middleInitial":"P.","affiliations":[{"id":5047,"text":"NGTOC Denver","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":589874,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70174052,"text":"sir20165073 - 2017 - Baseline assessment of groundwater quality in Wayne County, Pennsylvania, 2014","interactions":[],"lastModifiedDate":"2017-03-14T09:49:07","indexId":"sir20165073","displayToPublicDate":"2016-06-30T00:00:00","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":"2016-5073","title":"Baseline assessment of groundwater quality in Wayne County, Pennsylvania, 2014","docAbstract":"The Devonian-age Marcellus Shale and the Ordovician-age Utica Shale, geologic formations which have potential for natural gas development, underlie Wayne County and neighboring counties in northeastern Pennsylvania. In 2014, the U.S. Geological Survey, in cooperation with the Wayne Conservation District, conducted a study to assess baseline shallow groundwater quality in bedrock aquifers in Wayne County prior to potential extensive shale-gas development. The 2014 study expanded on previous, more limited studies that included sampling of groundwater from 2 wells in 2011 and 32 wells in 2013 in Wayne County. Eighty-nine water wells were sampled in summer 2014 to provide data on the presence of methane and other aspects of existing groundwater quality throughout the county, including concentrations of inorganic constituents commonly present at low levels in shallow, fresh groundwater but elevated in brines associated with fluids extracted from geologic formations during shale-gas development. Depths of sampled wells ranged from 85 to 1,300 feet (ft) with a median of 291 ft. All of the groundwater samples collected in 2014 were analyzed for bacteria, major ions, nutrients, selected inorganic trace constituents (including metals and other elements), radon-222, gross alpha- and gross beta-particle activity, selected man-made organic compounds (including volatile organic compounds and glycols), dissolved gases (methane, ethane, and propane), and, if sufficient methane was present, the isotopic composition of methane.
Results of the 2014 study show that groundwater quality generally met most drinking-water standards, but some well-water samples had one or more constituents or properties, including arsenic, iron, pH, bacteria, and radon-222, that exceeded primary or secondary maximum contaminant levels (MCLs). Arsenic concentrations were higher than the MCL of 10 micrograms per liter (µg/L) in 4 of 89 samples (4.5 percent) with concentrations as high as 20 µg/L; arsenic concentrations were higher than the Health Advisory level of 2 µg/L in 27 of 89 samples (30 percent). Total iron concentrations exceeded the secondary maximum contaminant level (SMCL) of 300 µg/L in 9 of 89 samples (10 percent). The pH ranged from 5.4 to 9.3 and did not meet the SMCL range of greater than 6.5 to less than 8.5 in 27 samples (30 percent); 22 samples had pH values less than 6.5, and 5 samples had pH values greater than 8.5. Total coliform bacteria were detected in 22 of 89 samples (25 percent); Escherichia coli were detected in only 2 of those 22 samples. Radon-222 activities ranged from 25 to 7,400 picocuries per liter (pCi/L), with a median of 2,120 pCi/L, and exceeded the proposed drinking-water standard of 300 pCi/L in 86 of 89 samples (97 percent); radon-222 activities were higher than the alternative proposed standard of 4,000 pCi/L in 12 of 89 samples (13.5 percent).
Water from 8 of the 89 wells (9 percent) had concentrations of methane greater than the reporting level of 0.24 milligrams per liter (mg/L) with the detectable methane concentrations ranging from 0.74 to 9.6 mg/L. Of 16 replicate samples submitted to another laboratory with a lower reporting level of 0.0002 mg/L, 15 samples had detectable methane concentrations that ranged from 0.0011 to 9.7 mg/L. Of these 15 samples, low levels of ethane (0.00032 to 0.0017 mg/L) were detected in 6 of 7 samples with methane concentrations greater than 0.75 mg/L. The isotopic composition of methane in 6 of 8 samples with sufficient dissolved methane (about 1 mg/L) for isotopic analysis is consistent with a predominantly thermogenic methane source (sample carbon isotopic ratio δ13CCH4 values ranging from -56.36 to -45.97 parts per thousand (‰) and hydrogen isotopic ratio δDCH4 values ranging from -233.1 to -141.1 ‰). However, the low levels of ethane relative to methane indicate that the methane may be of microbial origin and subsequently underwent oxidation. Isotopic compositions indicated a possibly mixed thermogenic and microbial source (carbon dioxide reduction process) for the methane in 1 of the 8 samples (δ13CCH4 of -63.72 and δDCH4 of -192.3 ‰) and potential oxidation of microbial and (or) thermogenic methane in the remaining sample (δ13CCH4 of -46.56 and δDCH4 of -79.7 ‰).
Groundwater samples with relatively elevated methane concentrations (near or greater than 1 mg/L) had a chemical composition that differed in some respects (pH, selected major ions, and inorganic trace constituents) from groundwater with relatively low methane concentrations (less than 0.75 mg/L). The seven well-water samples with the highest methane concentrations (from about 1 to 9.6 mg/L) also had among the highest pH values (8.1 to 9.3, respectively) and the highest concentrations of sodium, lithium, boron, fluoride, arsenic, and bromide. Relatively elevated concentrations of some other constituents, such as barium, strontium, and chloride, commonly were present in, but not limited to, those well-water samples with elevated methane.
Groundwater samples with the highest methane concentrations had chloride/bromide ratios that indicate mixing with a small amount of brine (0.02 percent or less, by volume) similar in composition to that reported for gas and oil well brines in Pennsylvania. Most other samples with low methane concentrations (less than about 1 mg/L) had chloride/bromide ratios that indicate predominantly man-made sources of chloride, such as road salt, septic systems, and (or) animal waste. Although naturally occurring brines may originate from deeper parts of the aquifer system, the man-made sources are likely to affect shallow groundwater.
Geochemical modeling showed that the water chemistry of samples with elevated pH, sodium, lithium, bromide, and alkalinity could result from dissolution of calcite (calcium carbonate) combined with cation exchange and mixing with a small amount of brine. Through cation exchange reactions (which are equivalent to processes in a water softener) calcium ions released by calcite dissolution are exchanged for sodium ions on clay minerals. The spatial distribution of groundwater compositions generally shows that (1) relatively dilute, slightly acidic, oxygenated, calcium-carbonate type waters tend to occur in the uplands along the western border of Wayne County; (2) waters of near neutral pH with the highest amounts of hardness (calcium and magnesium) generally occur in areas of intermediate altitudes; and (3) waters with pH values greater than 8, low oxygen concentrations, and the highest arsenic, sodium, lithium, bromide, and methane concentrations can occur in deep wells in uplands but most frequently occur in stream valleys, especially at low elevations (less than about 1,200 ft above North American Vertical Datum of 1988) where groundwater may be discharging regionally, such as to the Delaware River. Thus, the baseline assessment of groundwater quality in Wayne County prior to gas-well development shows that shallow (less than about 1,000 ft deep) groundwater is generally of good quality, but methane and some constituents present in high concentrations in brine (and produced waters from gas and oil wells) may be present at low to moderate concentrations in some parts of Wayne County.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165073","collaboration":"Prepared in cooperation with the Wayne Conservation District","usgsCitation":"Senior, L.A., Cravotta, C.A., III, and Sloto, R.A., 2017, Baseline assessment of groundwater quality in Wayne County, Pennsylvania, 2014 (ver. 1.1, March 2017): U.S. Geological Survey Scientific Investigations Report 2016–5073, 136 p., https://dx.doi.org/10.3133/sir20165073.","productDescription":"xi, 136 p.","numberOfPages":"152","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-075428","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":324374,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5073/sir20165073.pdf","text":"Report","size":"7.47 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5073"},{"id":336925,"rank":3,"type":{"id":25,"text":"Version 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1.0: Originally posted June 30, 2016; Version 1.1: March 9, 2017","contact":"Director, Pennsylvania Water Science Center
U.S. Geological Survey
215 Limekiln Road
New Cumberland, PA 17070
Or visit our Web site at: http://pa.water.usgs.gov
","tableOfContents":"Applications of video in fisheries research range from simple biodiversity surveys to three-dimensional (3D) measurement of complex swimming, schooling, feeding, and territorial behaviors. However, researchers lack a transparently developed, easy-to-use, general purpose tool for 3D video measurement and event logging. Thus, we developed a new measurement system, with freely available, user-friendly software, easily obtained hardware, and flexible underlying mathematical methods capable of high precision and accuracy. The software, VidSync, allows users to efficiently record, organize, and navigate complex 2D or 3D measurements of fish and their physical habitats. Laboratory tests showed submillimetre accuracy in length measurements of 50.8 mm targets at close range, with increasing errors (mostly <1%) at longer range and for longer targets. A field test on juvenile Chinook salmon (Oncorhynchus tshawytscha) feeding behavior in Alaska streams found that individuals within aggregations avoided the immediate proximity of their competitors, out to a distance of 1.0 to 2.9 body lengths. This system makes 3D video measurement a practical tool for laboratory and field studies of aquatic or terrestrial animal behavior and ecology.
","language":"English","publisher":"NRC Research Press","doi":"10.1139/cjfas-2016-0010","usgsCitation":"Neuswanger, J.R., Wipfli, M.S., Rosenberger, A.E., and Hughes, N.F., 2017, Measuring fish and their physical habitats: Versatile 2D and 3D video techniques with user-friendly software: Canadian Journal of Fisheries and Aquatic Sciences, v. 73, p. 1861-1873, https://doi.org/10.1139/cjfas-2016-0010.","productDescription":"13 p.","startPage":"1861","endPage":"1873","ipdsId":"IP-045803","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":470241,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2016-0010","text":"External Repository"},{"id":345022,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"73","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"599d42c2e4b0b5892680304d","contributors":{"authors":[{"text":"Neuswanger, Jason R.","contributorId":15530,"corporation":false,"usgs":true,"family":"Neuswanger","given":"Jason","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":708217,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wipfli, Mark S. 0000-0002-4856-6068 mwipfli@usgs.gov","orcid":"https://orcid.org/0000-0002-4856-6068","contributorId":1425,"corporation":false,"usgs":true,"family":"Wipfli","given":"Mark","email":"mwipfli@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":708208,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosenberger, Amanda E. 0000-0002-5520-8349 arosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5520-8349","contributorId":5581,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Amanda","email":"arosenberger@usgs.gov","middleInitial":"E.","affiliations":[{"id":396,"text":"Missouri Water Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":708218,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hughes, Nicholas F.","contributorId":40497,"corporation":false,"usgs":true,"family":"Hughes","given":"Nicholas","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":708219,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70173963,"text":"70173963 - 2017 - Aquatic biodiversity in forests: A weak link in ecosystem services resilience","interactions":[],"lastModifiedDate":"2017-11-29T16:43:51","indexId":"70173963","displayToPublicDate":"2016-06-20T14:15:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1006,"text":"Biodiversity and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Aquatic biodiversity in forests: A weak link in ecosystem services resilience","docAbstract":"The diversity of aquatic ecosystems is being quickly reduced on many continents, warranting a closer examination of the consequences for ecological integrity and ecosystem services. Here we describe intermediate and final ecosystem services derived from aquatic biodiversity in forests. We include a summary of the factors framing the assembly of aquatic biodiversity in forests in natural systems and how they change with a variety of natural disturbances and human-derived stressors. We consider forested aquatic ecosystems as a multi-state portfolio, with diverse assemblages and life-history strategies occurring at local scales as a consequence of a mosaic of habitat conditions and past disturbances and stressors. Maintaining this multi-state portfolio of assemblages requires a broad perspective of ecosystem structure, various functions, services, and management implications relative to contemporary stressors. Because aquatic biodiversity provides multiple ecosystem services to forests, activities that compromise aquatic ecosystems and biodiversity could be an issue for maintaining forest ecosystem integrity. We illustrate these concepts with examples of aquatic biodiversity and ecosystem services in forests of northwestern North America, also known as Northeast Pacific Rim. Encouraging management planning at broad as well as local spatial scales to recognize multi-state ecosystem management goals has promise for maintaining valuable ecosystem services. Ultimately, integration of information from socio-ecological ecosystems will be needed to maintain ecosystem services derived directly and indirectly from forest aquatic biota.
","language":"English","publisher":"Springer","doi":"10.1007/s10531-016-1148-0","usgsCitation":"Penaluna, B.E., Olson, D.H., Flitcroft, R.L., Weber, M.A., Bellmore, J., Wondzell, S.M., Dunham, J.B., Johnson, S.L., and Reeves, G.H., 2017, Aquatic biodiversity in forests: A weak link in ecosystem services resilience: Biodiversity and Conservation, v. 26, no. 13, p. 3125-3155, https://doi.org/10.1007/s10531-016-1148-0.","productDescription":"31 p.","startPage":"3125","endPage":"3155","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-066746","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":324021,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -126.32080078124999,\n 37.77071473849609\n ],\n [\n -126.32080078124999,\n 48.922499263758255\n ],\n [\n -120.43212890625,\n 48.922499263758255\n ],\n [\n -120.43212890625,\n 37.77071473849609\n ],\n [\n -126.32080078124999,\n 37.77071473849609\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"26","issue":"13","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-16","publicationStatus":"PW","scienceBaseUri":"5769059ae4b07657d19f667e","contributors":{"authors":[{"text":"Penaluna, Brooke E.","contributorId":104817,"corporation":false,"usgs":true,"family":"Penaluna","given":"Brooke","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":639883,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olson, Deanna H.","contributorId":114032,"corporation":false,"usgs":true,"family":"Olson","given":"Deanna","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":639884,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flitcroft, Rebecca L. 0000-0003-3341-996X","orcid":"https://orcid.org/0000-0003-3341-996X","contributorId":172180,"corporation":false,"usgs":false,"family":"Flitcroft","given":"Rebecca","email":"","middleInitial":"L.","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":639885,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weber, Matthew A.","contributorId":41483,"corporation":false,"usgs":true,"family":"Weber","given":"Matthew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":639886,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bellmore, J. Ryan jbellmore@usgs.gov","contributorId":4527,"corporation":false,"usgs":true,"family":"Bellmore","given":"J. Ryan","email":"jbellmore@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":639887,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wondzell, Steven M.","contributorId":80189,"corporation":false,"usgs":true,"family":"Wondzell","given":"Steven","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":639888,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":147808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","email":"jdunham@usgs.gov","middleInitial":"B.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":639889,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Johnson, Sherri L.","contributorId":91757,"corporation":false,"usgs":true,"family":"Johnson","given":"Sherri","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":639890,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Reeves, Gordon H.","contributorId":101521,"corporation":false,"usgs":false,"family":"Reeves","given":"Gordon","email":"","middleInitial":"H.","affiliations":[{"id":527,"text":"Pacific Northwest Research Station","active":false,"usgs":true}],"preferred":false,"id":639891,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70170461,"text":"sir20165047 - 2017 - Response of selenium concentrations in groundwater to seasonal canal leakage, lower Gunnison River Basin, Colorado, 2013","interactions":[],"lastModifiedDate":"2017-01-17T13:32:56","indexId":"sir20165047","displayToPublicDate":"2016-05-23T14:45:00","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":"2016-5047","title":"Response of selenium concentrations in groundwater to seasonal canal leakage, lower Gunnison River Basin, Colorado, 2013","docAbstract":"Selenium is a water-quality concern in the lower Gunnison River Basin because irrigation water interacting with seleniferous soils derived from the Mancos Shale Formation has mobilized selenium and increased its concentrations in surface water. Understanding the occurrence of elevated selenium concentrations in groundwater is necessary because groundwater discharge is an important source of selenium in surface water in the basin. In 2013, the U.S. Geological Survey, in cooperation with the Bureau of Reclamation and the Colorado Water Conservation Board, began a study to understand how changes in groundwater levels attributed to canal leakage affected the concentrations and speciation of dissolved selenium in groundwater. The purpose of this report is to characterize the groundwater adjacent to an unlined leaky canal. Two locations, near the East Canal (W-N1 and W-N2) and farther from the East Canal (W-M1 and W-M2), were selected for nested monitoring well installations. The pressure exerted by changes in canal stage was more readily transferred to the deep groundwater measured in the W-N1 near the canal than the shallow groundwater at the W-N2 well. No definitive relation could be made between canal water-level elevation and water-level elevations in monitoring wells farther from the canal (W-M1 and W-M2).
\nWater flowing through the East Canal before the irrigation season had much higher selenium concentrations (140 micrograms per liter) than water in the canal during the irrigation season (3.02 micrograms per liter). Total selenium concentrations in the monitoring wells near the canal initially increased to 51.8 micrograms per liter in W-N1 and 1.66 micrograms per liter in W-N2. The initial increase in groundwater selenium concentrations presumably resulted from the dissolution of salts in the unsaturated zone by rising groundwater levels associated with canal leakage. The subsequent decrease in total selenium concentrations resulted from a combination of dilution by canal leakage and selenium reduction processes. Total selenium concentrations in monitoring wells located farther from the canal were not directly affected by canal leakage.
\nSelenite/total selenium mass ratios in the East Canal samples ranged from about 0.02 to 0.13, indicating that about 2 to 13 percent of the total selenium in canal samples was composed of selenite. The increase in total selenium at W-N1 from before the irrigation season to the early irrigation season was accompanied by a decrease in the percentage of selenite from about 10 to 1 percent, indicating that selenate was added to the groundwater. A nitrate pulse occurred with the selenate pulse in W-N1 at the beginning of the irrigation season but apparently dissipated to a low enough concentration during the irrigation season to allow for selenate reduction to occur, as indicated by the relatively high percentages of selenite in W-N1 during the late irrigation season. W-N2 generally contained higher percentages of selenite than W-N1.
\nPercentages of selenite in W-M1 did not change in response to filling the canal and generally composed less than 1 percent of the total selenium in that well. The predominance of selenate in W-M1, and apparent lack of selenate reduction, cannot be explained by a lack of anoxic conditions in the groundwater because all the available dissolved-oxygen data indicate that concentrations were less than 0.5 milligrams per liter. The most likely explanation for the lack of selenate reduction in W-M1 is that the exceptionally high concentrations of nitrate in the groundwater (about 340 to 390 milligrams per liter as nitrogen) inhibited selenate reduction. These high nitrate concentrations presumably come from the Mancos Shale and its weathering products because there was no evidence for a human source of nitrate at the lower Gunnison River Basin wetland. The high concentrations of selenate in W-M1 may persist and eventually discharge to surface water unless nitrate concentrations are reduced to low enough levels to permit substantial selenate reduction to occur. Well W-M2 contained relatively low concentrations of total selenium and high percentages of selenite before and at the onset of the irrigation season. An increase in total selenium concentration associated with a drying and wetting period later in the summer was accompanied by a decrease in the percentage of selenite to near 0 percent, indicating that selenate was added to the groundwater. This pattern is consistent with the examples of increasing concentrations of total selenium in the other wells and presumably resulted from the dissolution of selenate-bearing salts in the unsaturated zone by rising water levels in W-M2.
\n","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20165047","collaboration":"Prepared in cooperation with the Bureau of Reclamation and Colorado Water Conservation Board","usgsCitation":"Linard, J.I., McMahon, P.B., Arnold, L.R., and Thomas, J.C., 2017, Response of selenium concentrations in groundwater to seasonal canal leakage, lower Gunnison River Basin, Colorado, 2013 (ver. 1.1, January 2017): U.S. Geological Survey Scientific Investigations Report 2016–5047, 30 p., https://dx.doi.org/10.3133/sir20165047.","productDescription":"v, 30 p.","onlineOnly":"Y","additionalOnlineFiles":"N","temporalStart":"2013-01-01","ipdsId":"IP-067265","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":333218,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2016/5047/versionHist.txt","text":"Version History","size":"4.0 kB","linkFileType":{"id":2,"text":"txt"},"description":"SIR 2016-5047 Version History"},{"id":321476,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2016/5047/sir20165047.pdf","text":"Report","size":"28.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2016-5047"},{"id":321475,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2016/5047/coverthb2.jpg"}],"country":"United States","state":"Colorado","county":"Montrose County","otherGeospatial":"Gunnison River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.9583,\n 38.65\n ],\n [\n -107.9583,\n 38.6542\n ],\n [\n -107.9514,\n 38.6542\n ],\n [\n -107.9514,\n 38.65\n ],\n [\n -107.9583,\n 38.65\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0: Originally posted May 23, 2016; Version 1.1: January 13, 2017","contact":"
Director, USGS Colorado Water Science Center
Box 25046, Mail Stop 415
Denver, CO 80225
The ecological legacy of the Huizache-Caimanero lagoon system has long been known as a trophically rich and productive ecosystem that supported artisanal fisheries of local and regional importance; however, a decline in fisheries' yields has been observed in recent decades. Mangroves are a fundamental component of this ecosystem, though data records and field studies are lacking in describing their structure and seasonal characteristics. Mangrove litterfall production was monitored during 2012–13 and described for the dominant species, Avicennia germinans (L.) Stearn and Laguncularia racemosa (L.) C.F. Gaertn. Forest surveys and monthly litter collections were obtained along a latitudinal gradient within the larger lagoon system to characterize the forest structure, leaf biomass, and related biological indicators (chlorophyll a concentration and Normalized Difference Vegetation Index [NDVI] estimated on leaf tissues). Results showed that structural characteristics (diameter at breast height, basal area, height, and crown diameter) were greater in Huizache, corresponding to patches with a dominance of A. germinans, while higher stem density was recorded for L. racemosa in Caimanero, comparatively similar to other mangrove habitat in NW Mexico. Litterfall was highest from May to October for both species. Litterfall production was also higher overall in 2012 in comparison to 2013, possibly corresponding with meteorological differences, most notably wind conditions. Annual litterfall production was similar by species across northern and southern Sinaloa. A contrast of the NDVI by site and species showed a wide interval, including low values for A. germinans, suggesting stress conditions for this species.
","language":"English","publisher":"Coastal Education and Research Foundation","doi":"10.2112/JCOASTRES-D-15-00242.1","usgsCitation":"Flores-Cardenas, F., Hurtado-Oliva, M.A., Doyle, T.W., Nieves-Sotol, M., Diaz-Castro, S., and Manzano-Sarabia, M., 2017, Litterfall production of mangroves in the Huizache-Caimanero lagoon system, México: Journal of Coastal Research, v. 53, no. 1, p. 118-124, https://doi.org/10.2112/JCOASTRES-D-15-00242.1.","productDescription":"7 p.","startPage":"118","endPage":"124","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-071470","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":321406,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","otherGeospatial":"Huizache-Caimanero lagoon system","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.4,\n 22.8\n ],\n [\n -105.9,\n 22.8\n ],\n [\n -105.9,\n 23.2\n ],\n [\n -106.4,\n 23.2\n ],\n [\n -106.4,\n 22.8\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"53","issue":"1","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"573ed59ce4b04a3a6a2462da","contributors":{"authors":[{"text":"Flores-Cardenas, Francisco","contributorId":169489,"corporation":false,"usgs":false,"family":"Flores-Cardenas","given":"Francisco","email":"","affiliations":[{"id":25528,"text":"Universidad Autónoma de Sinaloa Mazatlán, Sinaloa 82000, México","active":true,"usgs":false}],"preferred":false,"id":629773,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hurtado-Oliva, Miguel Angel","contributorId":169490,"corporation":false,"usgs":false,"family":"Hurtado-Oliva","given":"Miguel","email":"","middleInitial":"Angel","affiliations":[{"id":25528,"text":"Universidad Autónoma de Sinaloa Mazatlán, Sinaloa 82000, México","active":true,"usgs":false}],"preferred":false,"id":629774,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Doyle, Thomas W. 0000-0001-5754-0671 doylet@usgs.gov","orcid":"https://orcid.org/0000-0001-5754-0671","contributorId":703,"corporation":false,"usgs":true,"family":"Doyle","given":"Thomas","email":"doylet@usgs.gov","middleInitial":"W.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":629772,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nieves-Sotol, Mario","contributorId":169491,"corporation":false,"usgs":false,"family":"Nieves-Sotol","given":"Mario","email":"","affiliations":[{"id":25528,"text":"Universidad Autónoma de Sinaloa Mazatlán, Sinaloa 82000, México","active":true,"usgs":false}],"preferred":false,"id":629775,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Diaz-Castro, Sara","contributorId":169492,"corporation":false,"usgs":false,"family":"Diaz-Castro","given":"Sara","email":"","affiliations":[{"id":25529,"text":"Centro de Investigaciones Biológicas del Noroeste, SC La Paz, Baja California, Sur, México","active":true,"usgs":false}],"preferred":false,"id":629776,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Manzano-Sarabia, Marlenne","contributorId":169493,"corporation":false,"usgs":false,"family":"Manzano-Sarabia","given":"Marlenne","email":"","affiliations":[{"id":25528,"text":"Universidad Autónoma de Sinaloa Mazatlán, Sinaloa 82000, México","active":true,"usgs":false}],"preferred":false,"id":629777,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70171115,"text":"70171115 - 2017 - Prestoration: Using species in restoration that will persist now and into the future","interactions":[],"lastModifiedDate":"2017-12-19T16:57:26","indexId":"70171115","displayToPublicDate":"2016-05-16T09:15:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Prestoration: Using species in restoration that will persist now and into the future","docAbstract":"Climate change presents new challenges for selecting species for restoration. If migration fails to keep pace with climate change, as models predict, the most suitable sources for restoration may not occur locally at all. To address this issue we propose a strategy of “prestoration”: utilizing species in restoration for which a site represents suitable habitat now and into the future. Using the Colorado Plateau, USA as a case study, we assess the ability of grass species currently used regionally in restoration to persist into the future using projections of ecological niche models (or climate envelope models) across a suite of climate change scenarios. We then present a technique for identifying new species that best compensate for future losses of suitable habitat by current target species. We found that the current suite of species, selected by a group of experts, is predicted to perform reasonably well in the short-term, but that losses of prestorable habitat by mid-century would approach 40%. Using an algorithm to identify additional species, we found that fewer than ten species could compensate for nearly all of the losses incurred by the current target species. This case study highlights the utility of integrating ecological niche modeling and future climate forecasts to predict the utility of species in restoring under climate change across a wide range of spatial and temporal scales.
","language":"English","publisher":"Wiley","doi":"10.1111/rec.12381","usgsCitation":"Butterfield, B., Copeland, S.M., Munson, S.M., Roybal, C., and Wood, T.E., 2017, Prestoration: Using species in restoration that will persist now and into the future: Restoration Ecology, v. 25, no. S2, p. 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]\n}","volume":"25","issue":"S2","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2016-05-16","publicationStatus":"PW","scienceBaseUri":"57403552e4b07e28b65e96b0","contributors":{"authors":[{"text":"Butterfield, B.J.","contributorId":169537,"corporation":false,"usgs":false,"family":"Butterfield","given":"B.J.","email":"","affiliations":[{"id":25559,"text":"Merriam-Powell Center for Environmental Research and Dept. of Biological Sciences, Northern Arizona University, Box 5640, Flagstaff, AZ 86011-5640","active":true,"usgs":false}],"preferred":false,"id":629946,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Copeland, Stella M. 0000-0001-6707-4803 scopeland@usgs.gov","orcid":"https://orcid.org/0000-0001-6707-4803","contributorId":169538,"corporation":false,"usgs":true,"family":"Copeland","given":"Stella","email":"scopeland@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":629947,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":629945,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roybal, C.M.","contributorId":169539,"corporation":false,"usgs":false,"family":"Roybal","given":"C.M.","email":"","affiliations":[{"id":25559,"text":"Merriam-Powell Center for Environmental Research and Dept. of Biological Sciences, Northern Arizona University, Box 5640, Flagstaff, AZ 86011-5640","active":true,"usgs":false}],"preferred":false,"id":629948,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wood, Troy E. 0000-0002-1533-5714 twood@usgs.gov","orcid":"https://orcid.org/0000-0002-1533-5714","contributorId":4023,"corporation":false,"usgs":true,"family":"Wood","given":"Troy","email":"twood@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":629949,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70170894,"text":"70170894 - 2017 - Climate adaption and post-fire restoration of a foundational perennial in cold desert: Insights from intraspecific variation in response to weather","interactions":[],"lastModifiedDate":"2017-11-22T17:05:45","indexId":"70170894","displayToPublicDate":"2016-05-11T12:15:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Climate adaption and post-fire restoration of a foundational perennial in cold desert: Insights from intraspecific variation in response to weather","docAbstract":"1.The loss of foundational but fire-intolerant perennials such as sagebrush due to increases in fire size and frequency in semiarid regions has motivated efforts to restore them, often with mixed or even no success. Seeds of sagebrush Artemisia tridentata and related species must be moved considerable distances from seed source to planting sites, but such transfers have not been guided by an understanding of local climate adaptation. Initial seedling establishment and its response to weather are a key demographic bottleneck that likely varies among subspecies and populations of sagebrush.
\n2.We assessed differences in survival, growth, and physiological responses of sagebrush to weather among eleven seed sources that varied in subspecies, cytotype, and climates-of-origin over 18 months following outplanting. Diploid or polyploid populations of mountain, Wyoming, and basin big sagebrush (A.tridentata ssp. vaseyana, A.tridentata ssp. wyomingensis, and A.tridentata ssp. tridentata, respectively) were planted onto five burned sites that normally support A.t.wyomingensis with some A.t.tridentata.
\n3.A.t.wyomingensis had the most growth and survival, and tetraploid populations had greater survival and height than diploids. Seasonal timing of mortality varied among the subspecies/cytotypes and was more closely related to minimum temperatures than water deficit.
\n4.Temperatures required to induce ice formation were up to 6°C more negative in 4n-A.t.tridentata and A.t.wyomingensis than other subspecies/cytotypes, indicating greater freezing avoidance. In contrast, freezing resistance of photosynthesis varied only 1°C among subspecies/cytotypes, being greatest in A.t.wyomingensis and least in the subspecies normally considered most cold-adapted,A.t.vaseyana. A large spectrum of reliance on freezing-avoidance vs. freezing-tolerance was observed and corresponded to differences in post-fire survivorship among subspecies/cytotypes. Differences in water deficit responses among subspecies/cytotypes were not as strong and did not relate to survival patterns.
\n5.Synthesis and applications. Low temperature responses are a key axis defining climate adaptation in young sagebrush seedlings and vary more with cytotype than with subspecies, which contrasts with the traditional emphases on (i) water limitations to explain establishment in these deserts, and (ii) subspecies in selecting restoration seedings. These important and novel insights on climate adaptation are critical for seed selection and parameterizing seed transfer zones, and were made possible by incorporating weather data with survival statistics. The survival/weather statistics used here could be applied to any restoration planting or seeding to help elucidate factors contributing to success and enable adaptive management.
\nThe Lunar Reconnaissance Orbiter Camera (LROC) includes two identical Narrow Angle Cameras (NAC) that each provide 0.5 to 2.0 m scale images of the lunar surface. Although not designed as a stereo system, LROC can acquire NAC stereo observations over two or more orbits using at least one off-nadir slew. Digital terrain models (DTMs) are generated from sets of stereo images and registered to profiles from the Lunar Orbiter Laser Altimeter (LOLA) to improve absolute accuracy. With current processing methods, DTMs have absolute accuracies better than the uncertainties of the LOLA profiles and relative vertical and horizontal precisions less than the pixel scale of the DTMs (2–5 m).
We computed slope statistics from 81 highland and 31 mare DTMs across a range of baselines. For a baseline of 15 m the highland mean slope parameters are: median = 9.1°, mean = 11.0°, standard deviation = 7.0°. For the mare the mean slope parameters are: median = 3.5°, mean = 4.9°, standard deviation = 4.5°. The slope values for the highland terrain are steeper than previously reported, likely due to a bias in targeting of the NAC DTMs toward higher relief features in the highland terrain.
Overlapping DTMs of single stereo sets were also combined to form larger area DTM mosaics that enable detailed characterization of large geomorphic features. From one DTM mosaic we mapped a large viscous flow related to the Orientale basin ejecta and estimated its thickness and volume to exceed 300 m and 500 km3, respectively. Despite its ∼3.8 billion year age the flow still exhibits unconfined margin slopes above 30°, in some cases exceeding the angle of repose, consistent with deposition of material rich in impact melt.
We show that the NAC stereo pairs and derived DTMs represent an invaluable tool for science and exploration purposes. At this date about 2% of the lunar surface is imaged in high-resolution stereo, and continued acquisition of stereo observations will serve to strengthen our knowledge of the Moon and geologic processes that occur across all of the terrestrial planets.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2016.05.012","usgsCitation":"Henriksen, M.R., Manheim, M.R., Burns, K.N., Seymour, P., Speyerer, E., Deran, A., Boyd, A.K., PR, E.H., Rosiek, M.R., Archinal, B.A., and Robinson, M.S., 2017, Extracting accurate and precise topography from LROC narrow angle camera stereo observations: Icarus, v. 283, p. 122-137, https://doi.org/10.1016/j.icarus.2016.05.012.","productDescription":"16 p.","startPage":"122","endPage":"137","ipdsId":"IP-071496","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":470243,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.icarus.2016.05.012","text":"Publisher Index Page"},{"id":388011,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"283","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Henriksen, M. R.","contributorId":264332,"corporation":false,"usgs":false,"family":"Henriksen","given":"M.","email":"","middleInitial":"R.","affiliations":[{"id":54441,"text":"School of Earth and Space Exploration, Arizona State University, Tempe, AZ","active":true,"usgs":false}],"preferred":false,"id":821372,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manheim, M. R.","contributorId":264333,"corporation":false,"usgs":false,"family":"Manheim","given":"M.","email":"","middleInitial":"R.","affiliations":[{"id":54441,"text":"School of Earth and Space Exploration, Arizona State University, Tempe, AZ","active":true,"usgs":false}],"preferred":false,"id":821373,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burns, K. N.","contributorId":264334,"corporation":false,"usgs":false,"family":"Burns","given":"K.","email":"","middleInitial":"N.","affiliations":[{"id":54441,"text":"School of Earth and Space Exploration, Arizona State University, Tempe, AZ","active":true,"usgs":false}],"preferred":false,"id":821374,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seymour, P.","contributorId":264335,"corporation":false,"usgs":false,"family":"Seymour","given":"P.","email":"","affiliations":[{"id":54441,"text":"School of Earth and Space Exploration, Arizona State University, Tempe, AZ","active":true,"usgs":false}],"preferred":false,"id":821375,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Speyerer, E. J.","contributorId":264336,"corporation":false,"usgs":false,"family":"Speyerer","given":"E. J.","affiliations":[{"id":54441,"text":"School of Earth and Space Exploration, Arizona State University, Tempe, AZ","active":true,"usgs":false}],"preferred":false,"id":821376,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Deran, A.","contributorId":264337,"corporation":false,"usgs":false,"family":"Deran","given":"A.","email":"","affiliations":[{"id":54441,"text":"School of Earth and Space Exploration, Arizona State University, Tempe, AZ","active":true,"usgs":false}],"preferred":false,"id":821377,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Boyd, A. K.","contributorId":264338,"corporation":false,"usgs":false,"family":"Boyd","given":"A.","email":"","middleInitial":"K.","affiliations":[{"id":54441,"text":"School of Earth and Space Exploration, Arizona State University, Tempe, AZ","active":true,"usgs":false}],"preferred":false,"id":821378,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"PR, Elpitha Howington-Kraus","contributorId":264339,"corporation":false,"usgs":true,"family":"PR","given":"Elpitha","email":"","middleInitial":"Howington-Kraus","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":821379,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rosiek, Mark R. mrosiek@usgs.gov","contributorId":264340,"corporation":false,"usgs":true,"family":"Rosiek","given":"Mark","email":"mrosiek@usgs.gov","middleInitial":"R.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":821380,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Archinal, Brent A. 0000-0002-6654-0742 barchinal@usgs.gov","orcid":"https://orcid.org/0000-0002-6654-0742","contributorId":264341,"corporation":false,"usgs":true,"family":"Archinal","given":"Brent","email":"barchinal@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":821381,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Robinson, M. S.","contributorId":264342,"corporation":false,"usgs":false,"family":"Robinson","given":"M.","email":"","middleInitial":"S.","affiliations":[{"id":54441,"text":"School of Earth and Space Exploration, Arizona State University, Tempe, AZ","active":true,"usgs":false}],"preferred":false,"id":821382,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70190233,"text":"70190233 - 2017 - The Moquah Barrens Research Natural Area: Loss of a pine barrens ecosystem","interactions":[],"lastModifiedDate":"2017-08-23T09:31:09","indexId":"70190233","displayToPublicDate":"2016-04-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesNumber":"NRS-161","title":"The Moquah Barrens Research Natural Area: Loss of a pine barrens ecosystem","docAbstract":"The Moquah Barrens Research Natural Area (RNA) was established by the Chequamegon National Forest and the Lakes States Forest Experiment Station in 1935 with a research objective well-suited to the needs of the Forest Service and the scientific understanding of ecosystem function prevalent at the time of establishment. The original research plan was never implemented, which led to a joint Forest-Station decision in 1956 to disestablish the RNA. However, that decision was never implemented. A series of management decisions made after 1956 led to the loss of the pine barrens ecosystem originally encompassed by the RNA. This loss is not irretrievable and the work necessary to recover the original ecosystem is possible under existing RNA management guidelines. The experience of the Moquah Barrens RNA can be used by the Forest Service to improve overall management of the entire system of research natural areas. Two main areas of opportunity are identified: 1) implement an improved approach to managing official records associated with RNAs; and 2) adopt a management framework suitable for long-term ecological projects.","language":"English","publisher":"U.S. Department of Agriculture","usgsCitation":"Ribic, C., 2017, The Moquah Barrens Research Natural Area: Loss of a pine barrens ecosystem, 25 p.","productDescription":"25 p.","numberOfPages":"31","ipdsId":"IP-062901","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":345046,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":345045,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.treesearch.fs.fed.us/pubs/50851"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Moquah Barrens Research Natural Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {\n \"stroke\": \"#555555\",\n \"stroke-width\": 2,\n \"stroke-opacity\": 1,\n \"fill\": \"#555555\",\n \"fill-opacity\": 0.5\n },\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -92.735595703125,\n 45.52944081525666\n ],\n [\n -92.61474609375,\n 45.62172169252446\n ],\n [\n -92.52685546875,\n 45.66780526567164\n ],\n [\n -92.46093749999999,\n 45.66780526567164\n ],\n [\n -92.340087890625,\n 45.583289756006316\n ],\n [\n -92.1697998046875,\n 45.569832358492825\n ],\n [\n -91.91162109375,\n 45.637087095718734\n ],\n [\n -92.010498046875,\n 45.744526980468436\n ],\n [\n -91.856689453125,\n 45.90529985724799\n ],\n [\n -91.724853515625,\n 46.08847179577592\n ],\n [\n -91.417236328125,\n 46.21785176740299\n ],\n [\n -91.021728515625,\n 46.543749602738565\n ],\n [\n -90.977783203125,\n 46.64189395892872\n ],\n [\n -90.95581054687499,\n 46.70973594407157\n ],\n [\n -90.81298828125,\n 46.830133640447386\n ],\n [\n -90.802001953125,\n 46.882723010671945\n ],\n [\n -90.867919921875,\n 46.95776134668866\n ],\n [\n -91.03271484375,\n 46.9052455464292\n ],\n [\n -91.14257812499999,\n 46.882723010671945\n ],\n [\n -91.2744140625,\n 46.74738913515841\n ],\n [\n -91.42822265625,\n 46.694667307773116\n ],\n [\n -91.49414062499999,\n 46.67205646734499\n ],\n [\n -91.593017578125,\n 46.581518465658014\n ],\n [\n -91.73583984374999,\n 46.49082901981415\n ],\n [\n -91.845703125,\n 46.392411189814645\n ],\n [\n -91.93359375,\n 46.29381556233369\n ],\n [\n -92.13134765625,\n 46.118941506107056\n ],\n [\n -92.296142578125,\n 46.05036097561633\n ],\n [\n -92.362060546875,\n 46.01985337287631\n ],\n [\n -92.471923828125,\n 45.99696161820381\n ],\n [\n -92.515869140625,\n 45.9511496866914\n ],\n [\n -92.603759765625,\n 45.96642454131025\n ],\n [\n -92.691650390625,\n 45.93587062119052\n ],\n [\n -92.757568359375,\n 45.93587062119052\n ],\n [\n -92.779541015625,\n 45.85941212790755\n ],\n [\n -92.801513671875,\n 45.79816953017265\n ],\n [\n -92.867431640625,\n 45.73685954736049\n ],\n [\n -92.911376953125,\n 45.69083283645816\n ],\n [\n -92.900390625,\n 45.583289756006316\n ],\n [\n -92.7685546875,\n 45.583289756006316\n ],\n [\n -92.735595703125,\n 45.52944081525666\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"599e9447e4b04935557fe9bb","contributors":{"authors":[{"text":"Ribic, Christine 0000-0003-2583-1778 caribic@usgs.gov","orcid":"https://orcid.org/0000-0003-2583-1778","contributorId":147952,"corporation":false,"usgs":true,"family":"Ribic","given":"Christine","email":"caribic@usgs.gov","affiliations":[{"id":5068,"text":"Midwest Regional Director's Office","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":708040,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70189148,"text":"70189148 - 2017 - Detrital zircon geochronology of pre- and syncollisional strata, Acadian orogen, Maine Appalachians","interactions":[],"lastModifiedDate":"2017-09-05T12:38:10","indexId":"70189148","displayToPublicDate":"2016-04-08T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":972,"text":"Basin Research","active":true,"publicationSubtype":{"id":10}},"title":"Detrital zircon geochronology of pre- and syncollisional strata, Acadian orogen, Maine Appalachians","docAbstract":"The Central Maine Basin is the largest expanse of deep-marine, Upper Ordovician to Devonian metasedimentary rocks in the New England Appalachians, and is a key to the tectonics of the Acadian Orogeny. Detrital zircon ages are reported from two groups of strata: (1) the Quimby, Rangeley, Perry Mountain and Smalls Falls Formations, which were derived from inboard, northwesterly sources and are supposedly older; and (2) the Madrid, Carrabassett and Littleton Formations, which were derived from outboard, easterly sources and are supposedly younger. Deep-water deposition prevailed throughout, with the provenance shift inferred to mark the onset of foredeep deposition and orogeny. The detrital zircon age distribution of a composite of the inboard-derived units shows maxima at 988 and 429 Ma; a composite from the outboard-derived units shows maxima at 1324, 1141, 957, 628, and 437 Ma. The inboard-derived units have a greater proportion of zircons between 450 and 400 Ma. Three samples from the inboard-derived group have youngest age maxima that are significantly younger than the nominal depositional ages. The outboard-derived group does not share this problem. These results are consistent with the hypothesised provenance shift, but they signal potential problems with the established stratigraphy, structure, and (or) regional mapping. Shallow-marine deposits of the Silurian to Devonian Ripogenus Formation, from northwest of the Central Maine Basin, yielded detrital zircons featuring a single age maximum at 441 Ma. These zircons were likely derived from a nearby magmatic arc now concealed by younger strata. Detrital zircons from the Tarratine Formation, part of the Acadian foreland-basin succession in this strike belt, shows age maxima at 1615, 980 and 429 Ma. These results are consistent with three episodes of zircon recycling beginning with the deposition of inboard-derived strata of the Central Maine Basin, which were shed from post-Taconic highlands located to the northwest. Next, southeasterly parts of this succession were deformed in the Acadian orogeny, shedding detritus towards the northwest into what remained of the basin. Finally, by Pragian time, all strata in the Central Maine Basin had been deformed and detritus from this new source accumulated as the Tarratine Formation in a new incarnation of the foreland basin. Silurian-Devonian strata from the Central Maine Basin have similar detrital zircon age distributions to coeval rocks from the Arctic Alaska and Farewell terranes of Alaska and the Northwestern terrane of Svalbard. We suggest that these strata were derived from different segments of the 6500-km-long Appalachian-Caledonide orogen.","language":"English","publisher":"Wiley","doi":"10.1111/bre.12188","usgsCitation":"Bradley, D., and O’Sullivan, P.B., 2017, Detrital zircon geochronology of pre- and syncollisional strata, Acadian orogen, Maine Appalachians: Basin Research, v. 29, no. 5, p. 571-590, https://doi.org/10.1111/bre.12188.","productDescription":"20 p. ","startPage":"571","endPage":"590","ipdsId":"IP-073798","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":343264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maine, New Hampshire","otherGeospatial":"Appalachians, Central Maine Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -66.005859375,\n 51.72702815704774\n ],\n [\n -91.58203125,\n 37.996162679728116\n ],\n [\n -86.572265625,\n 30.977609093348686\n ],\n [\n -58.53515625,\n 45.521743896993634\n ],\n [\n -66.005859375,\n 51.72702815704774\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"29","issue":"5","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2016-04-08","publicationStatus":"PW","scienceBaseUri":"595b5798e4b0d1f9f0536dc2","contributors":{"authors":[{"text":"Bradley, Dwight 0000-0001-9116-5289 bradleyorchard2@gmail.com","orcid":"https://orcid.org/0000-0001-9116-5289","contributorId":2358,"corporation":false,"usgs":true,"family":"Bradley","given":"Dwight","email":"bradleyorchard2@gmail.com","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":703162,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Sullivan, Paul B.","contributorId":193544,"corporation":false,"usgs":false,"family":"O’Sullivan","given":"Paul","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":703163,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}