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","largerWorkTitle":"Reviews in Economic Geology","language":"English","publisher":"Society of Economic Geologists, Inc.","publisherLocation":"Littleton, CO","issn":"0741-0123 (Print)","usgsCitation":"Verplanck, P.L., and Hitzman, M.W., 2016, Introduction: Rare Earth and Critical Elements in Ore Deposits, chap. of Reviews in Economic Geology, v. 18, p. 1-4.","productDescription":"4 p.","startPage":"1","endPage":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-070346","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":320013,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":320012,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.segweb.org/store/detail.aspx?id=REV18-COMBO"}],"volume":"18","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"570e1c32e4b0ef3b7ca24c30","contributors":{"editors":[{"text":"Verplanck, P. L. 0000-0002-3653-6419","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":106565,"corporation":false,"usgs":true,"family":"Verplanck","given":"P. L.","affiliations":[],"preferred":false,"id":626583,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Hitzman, M.W.","contributorId":107906,"corporation":false,"usgs":true,"family":"Hitzman","given":"M.W.","affiliations":[],"preferred":false,"id":626584,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Verplanck, Philip L. 0000-0002-3653-6419 plv@usgs.gov","orcid":"https://orcid.org/0000-0002-3653-6419","contributorId":728,"corporation":false,"usgs":true,"family":"Verplanck","given":"Philip","email":"plv@usgs.gov","middleInitial":"L.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":626232,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hitzman, Murray W. 0000-0002-3876-0537 mhitzman@usgs.gov","orcid":"https://orcid.org/0000-0002-3876-0537","contributorId":168513,"corporation":false,"usgs":false,"family":"Hitzman","given":"Murray","email":"mhitzman@usgs.gov","middleInitial":"W.","affiliations":[{"id":25315,"text":"2Department of Geology and Geological Engineering, Colorado School of Mines, Golden, CO","active":true,"usgs":false}],"preferred":false,"id":626233,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70168717,"text":"70168717 - 2016 - Tamarisk beetle (Diorhabda spp.) in the Colorado River basin: Synthesis of an expert panel forum","interactions":[],"lastModifiedDate":"2016-04-12T13:29:50","indexId":"70168717","displayToPublicDate":"2016-01-01T01:15:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Tamarisk beetle (Diorhabda spp.) in the Colorado River basin: Synthesis of an expert panel forum","docAbstract":"In 2001, the U.S. Department of Agriculture approved the release of a biological control agent, the tamarisk beetle (Diorhabda spp.), to naturally control tamarisk populations and provide a less costly, and potentially more effective, means of removal compared with mechanical and chemical methods. The invasive plant tamarisk (Tamarix spp.; saltcedar) occupies hundreds of thousands of acres of river floodplains and terraces across the western half of the North American continent. Its abundance varies, but can include dense monocultures, and can alter some physical and ecological processes associated with riparian ecosystems.
\nThe tamarisk beetle now occupies hundreds of miles of rivers throughout the Upper Colorado River Basin (UCRB) and is spreading into the Lower Basin. The efficacy of the beetle is evident, with many areas repeatedly experiencing tamarisk defoliation. While many welcome the beetle as a management tool, others are concerned by the ecosystem implications of widespread defoliation of a dominant woody species. As an example, defoliation may possibly affect the nesting success of the endangered southwestern willow flycatcher (Empidonax traillii extimus).
\nIn January 2015, the Tamarisk Coalition convened a panel of experts to discuss and present information on probable ecological trajectories in the face of widespread beetle presence and to consider opportunities for restoration and management of riparian systems in the Colorado River Basin (CRB). An in-depth description of the panel discussion follows.
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Primary threats to iguanas include habitat loss, direct and indirect impacts by invasive vertebrates, overexploitation, and human disturbance. As conspicuous, charismatic vertebrates, iguanas also represent excellent flagships for biodiversity conservation. To assist planning for invasive vertebrate management and thus benefit threatened iguana recovery, we identified all islands with known extant or extirpated populations of Critically Endangered and Endangered insular iguana taxa as recognized by the International Union for Conservation of Nature (IUCN) Red List of Threatened Species. For each island, we determined total area, sovereignty, the presence of invasive alien vertebrates, and human population. For the 23 taxa of threatened insular iguanas we identified 230 populations, of which iguanas were extant on 185 islands and extirpated from 45 islands. Twenty-one iguana taxa (91% of all threatened insular iguana taxa) occurred on at least one island with invasive vertebrates present; 16 taxa had 100% of their population(s) on islands with invasive vertebrates present. Rodents, cats, ungulates, and dogs were the most common invasive vertebrates. We discuss biosecurity, eradication, and control of invasive vertebrates to benefit iguana recovery: (1) on islands already free of invasive vertebrates; (2) on islands with high iguana endemicity; and (3) for species and subspecies with small total populations occurring across multiple small islands. Our analyses provide an important first step toward understanding how invasive vertebrate management can be planned effectively to benefit threatened insular iguanas.
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B.","contributorId":16364,"corporation":false,"usgs":true,"family":"Iverson","given":"J.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":641067,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Grant, T. D.","contributorId":172507,"corporation":false,"usgs":false,"family":"Grant","given":"T.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":641068,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Knapp, C. R.","contributorId":172508,"corporation":false,"usgs":false,"family":"Knapp","given":"C.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":641069,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Pasachnik, S. A.","contributorId":172509,"corporation":false,"usgs":false,"family":"Pasachnik","given":"S. A.","affiliations":[],"preferred":false,"id":641070,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Tershy, Bernie R.","contributorId":71881,"corporation":false,"usgs":true,"family":"Tershy","given":"Bernie","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":639552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Newton, Kelly M.","contributorId":172089,"corporation":false,"usgs":false,"family":"Newton","given":"Kelly","email":"","middleInitial":"M.","affiliations":[{"id":26976,"text":"Island Conservation, Santa Cruz, CA","active":true,"usgs":false}],"preferred":false,"id":639553,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spatz, Dena R.","contributorId":172090,"corporation":false,"usgs":false,"family":"Spatz","given":"Dena","email":"","middleInitial":"R.","affiliations":[{"id":26977,"text":"Dep't Ecology and Evolutionary Biology, UC Santa Cruz, CA","active":true,"usgs":false}],"preferred":false,"id":639554,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swinnerton, Kirsty","contributorId":140008,"corporation":false,"usgs":false,"family":"Swinnerton","given":"Kirsty","email":"","affiliations":[{"id":13352,"text":"Maui Forest Bird Recovery Project","active":true,"usgs":false}],"preferred":false,"id":639555,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Iverson, John B.","contributorId":147488,"corporation":false,"usgs":false,"family":"Iverson","given":"John","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":639556,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fisher, Robert N. 0000-0002-2956-3240 rfisher@usgs.gov","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":1529,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert","email":"rfisher@usgs.gov","middleInitial":"N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":639551,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harlow, Peter S.","contributorId":150093,"corporation":false,"usgs":false,"family":"Harlow","given":"Peter","email":"","middleInitial":"S.","affiliations":[{"id":17909,"text":"Taronga Zoo, Mosman, NSW, Australia","active":true,"usgs":false}],"preferred":false,"id":639557,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Holmes, Nick D.","contributorId":172091,"corporation":false,"usgs":false,"family":"Holmes","given":"Nick","email":"","middleInitial":"D.","affiliations":[{"id":26976,"text":"Island Conservation, Santa Cruz, CA","active":true,"usgs":false}],"preferred":false,"id":639558,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Croll, Donald A.","contributorId":62520,"corporation":false,"usgs":true,"family":"Croll","given":"Donald","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":639559,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70191660,"text":"70191660 - 2016 - Resilience","interactions":[],"lastModifiedDate":"2018-01-26T14:01:49","indexId":"70191660","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Resilience","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Oxford Bibliographies in Environmental Science","language":"English","publisher":"Oxford University Press","doi":"10.1093/OBO/9780199363445-0048","usgsCitation":"Allen, C.R., Garmestani, A.S., and Angeler, D., 2016, Resilience, chap. of Oxford Bibliographies in Environmental Science, https://doi.org/10.1093/OBO/9780199363445-0048.","ipdsId":"IP-069354","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":350700,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6c4c97e4b06e28e9cabb0e","contributors":{"authors":[{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":712976,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garmestani, Ahjond S.","contributorId":77285,"corporation":false,"usgs":true,"family":"Garmestani","given":"Ahjond","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":725968,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Angeler, David G.","contributorId":25027,"corporation":false,"usgs":true,"family":"Angeler","given":"David G.","affiliations":[],"preferred":false,"id":725969,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70178030,"text":"70178030 - 2016 - Physiological basis of climate change impacts on North American inland fishes","interactions":[],"lastModifiedDate":"2018-02-28T14:29:57","indexId":"70178030","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Physiological basis of climate change impacts on North American inland fishes","docAbstract":"Global climate change is altering freshwater ecosystems and affecting fish populations and communities. Underpinning changes in fish distribution and assemblage-level responses to climate change are individual-level physiological constraints. In this review, we synthesize the mechanistic effects of climate change on neuroendocrine, cardiorespiratory, immune, osmoregulatory, and reproductive systems of freshwater and diadromous fishes. Observed climate change effects on physiological systems are varied and numerous, including exceedance of critical thermal tolerances, decreased cardiorespiratory performance, compromised immune function, and altered patterns of individual reproductive investment. However, effects vary widely among and within species because of species, population, and even sex-specific differences in sensitivity and resilience and because of habitat-specific variation in the magnitude of climate-related environmental change. Research on the interactive effects of climate change with other environmental stressors across a broader range of fish diversity is needed to further our understanding of climate change effects on fish physiology.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/03632415.2016.1186656","usgsCitation":"Whitney, J.E., Al-Chokhachy, R.K., Bunnell, D., Caldwell, C.A., Cooke, S., Eliason, E.J., Rogers, M.W., Lynch, A.J., and Paukert, C.P., 2016, Physiological basis of climate change impacts on North American inland fishes: Fisheries, v. 41, no. 7, p. 332-345, https://doi.org/10.1080/03632415.2016.1186656.","productDescription":"14 p.","startPage":"332","endPage":"345","ipdsId":"IP-069906","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":352147,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"41","issue":"7","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-06-29","publicationStatus":"PW","scienceBaseUri":"5819a9c3e4b0bb36a4c91023","contributors":{"authors":[{"text":"Whitney, James E.","contributorId":176500,"corporation":false,"usgs":false,"family":"Whitney","given":"James","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":652657,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Al-Chokhachy, Robert K. 0000-0002-2136-5098 ral-chokhachy@usgs.gov","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":1674,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","email":"ral-chokhachy@usgs.gov","middleInitial":"K.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":652658,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bunnell, David B. 0000-0003-3521-7747 dbunnell@usgs.gov","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":3139,"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":652659,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Caldwell, Colleen A. 0000-0002-4730-4867 ccaldwel@usgs.gov","orcid":"https://orcid.org/0000-0002-4730-4867","contributorId":3050,"corporation":false,"usgs":true,"family":"Caldwell","given":"Colleen","email":"ccaldwel@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":652660,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cooke, Steven J.","contributorId":56132,"corporation":false,"usgs":false,"family":"Cooke","given":"Steven J.","affiliations":[{"id":36574,"text":"Carleton University, Ottawa, Ontario","active":true,"usgs":false}],"preferred":false,"id":652661,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eliason, Erika J.","contributorId":176524,"corporation":false,"usgs":false,"family":"Eliason","given":"Erika","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":652662,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rogers, Mark W. 0000-0001-7205-5623 mwrogers@usgs.gov","orcid":"https://orcid.org/0000-0001-7205-5623","contributorId":4590,"corporation":false,"usgs":true,"family":"Rogers","given":"Mark","email":"mwrogers@usgs.gov","middleInitial":"W.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":652663,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lynch, Abigail J. 0000-0001-8449-8392 ajlynch@usgs.gov","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":5645,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","email":"ajlynch@usgs.gov","middleInitial":"J.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":false,"id":652664,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Paukert, Craig P. 0000-0002-9369-8545 cpaukert@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":147821,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","email":"cpaukert@usgs.gov","middleInitial":"P.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":652559,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70176638,"text":"70176638 - 2016 - Seismic velocities within the sedimentary succession of the Canada Basin and southern Alpha-Mendeleev Ridge, Arctic Ocean: evidence for accelerated porosity reduction?","interactions":[],"lastModifiedDate":"2016-09-23T16:00:51","indexId":"70176638","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Seismic velocities within the sedimentary succession of the Canada Basin and southern Alpha-Mendeleev Ridge, Arctic Ocean: evidence for accelerated porosity reduction?","docAbstract":"The Canada Basin and the southern Alpha-Mendeleev ridge complex underlie a significant proportion of the Arctic Ocean, but the geology of this undrilled and mostly ice-covered frontier is poorly known. New information is encoded in seismic wide-angle reflections and refractions recorded with expendable sonobuoys between 2007 and 2011. Velocity–depth samples within the sedimentary succession are extracted from published analyses for 142 of these records obtained at irregularly spaced stations across an area of 1.9E + 06 km2. The samples are modelled at regional, subregional and station-specific scales using an exponential function of inverse velocity versus depth with regionally representative parameters determined through numerical regression. With this approach, smooth, non-oscillatory velocity–depth profiles can be generated for any desired location in the study area, even where the measurement density is low. Practical application is demonstrated with a map of sedimentary thickness, derived from seismic reflection horizons interpreted in the time domain and depth converted using the velocity–depth profiles for each seismic trace. A thickness of 12–13 km is present beneath both the upper Mackenzie fan and the middle slope off of Alaska, but the sedimentary prism thins more gradually outboard of the latter region. Mapping of the observed-to-predicted velocities reveals coherent geospatial trends associated with five subregions: the Mackenzie fan; the continental slopes beyond the Mackenzie fan; the abyssal plain; the southwestern Canada Basin; and, the Alpha-Mendeleev magnetic domain. Comparison of the subregional velocity–depth models with published borehole data, and interpretation of the station-specific best-fitting model parameters, suggests that sandstone is not a predominant lithology in any of the five subregions. However, the bulk sand-to-shale ratio likely increases towards the Mackenzie fan, and the model for this subregion compares favourably with borehole data for Miocene turbidites in the eastern Gulf of Mexico. The station-specific results also indicate that Quaternary sediments coarsen towards the Beaufort-Mackenzie and Banks Island margins in a manner that is consistent with the variable history of Laurentide Ice Sheet advance documented for these margins. Lithological factors do not fully account for the elevated velocity–depth trends that are associated with the southwestern Canada Basin and the Alpha-Mendeleev magnetic domain. Accelerated porosity reduction due to elevated palaeo-heat flow is inferred for these regions, which may be related to the underlying crustal types or possibly volcanic intrusion of the sedimentary succession. Beyond exploring the variation of an important physical property in the Arctic Ocean basin, this study provides comparative reference for global studies of seismic velocity, burial history, sedimentary compaction, seismic inversion and overpressure prediction, particularly in mudrock-dominated successions.
","language":"English","publisher":"Oxford Journals","doi":"10.1093/gji/ggv416","usgsCitation":"Shimeld, J., Li, Q., Chian, D., Lebedeva-Ivanova, N., Jackson, R., Mosher, D., and Hutchinson, D.R., 2016, Seismic velocities within the sedimentary succession of the Canada Basin and southern Alpha-Mendeleev Ridge, Arctic Ocean: evidence for accelerated porosity reduction?: Geophysical Journal International, v. 204, no. 1, p. 1-20, https://doi.org/10.1093/gji/ggv416.","productDescription":"20 p.","startPage":"1","endPage":"20","ipdsId":"IP-064703","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":471381,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/gji/ggv416","text":"Publisher Index Page"},{"id":328940,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"204","issue":"1","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2015-11-09","publicationStatus":"PW","scienceBaseUri":"57f7c6e6e4b0bc0bec09cbdb","contributors":{"authors":[{"text":"Shimeld, John","contributorId":146869,"corporation":false,"usgs":false,"family":"Shimeld","given":"John","affiliations":[],"preferred":false,"id":649568,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, Qingmou","contributorId":174893,"corporation":false,"usgs":false,"family":"Li","given":"Qingmou","email":"","affiliations":[],"preferred":false,"id":649569,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chian, Deping","contributorId":174894,"corporation":false,"usgs":false,"family":"Chian","given":"Deping","email":"","affiliations":[],"preferred":false,"id":649570,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lebedeva-Ivanova, Nina","contributorId":146870,"corporation":false,"usgs":false,"family":"Lebedeva-Ivanova","given":"Nina","email":"","affiliations":[],"preferred":false,"id":649571,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jackson, Ruth","contributorId":36799,"corporation":false,"usgs":true,"family":"Jackson","given":"Ruth","email":"","affiliations":[],"preferred":false,"id":649572,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mosher, David","contributorId":174895,"corporation":false,"usgs":false,"family":"Mosher","given":"David","affiliations":[],"preferred":false,"id":649573,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hutchinson, Deborah R. 0000-0002-2544-5466 dhutchinson@usgs.gov","orcid":"https://orcid.org/0000-0002-2544-5466","contributorId":521,"corporation":false,"usgs":true,"family":"Hutchinson","given":"Deborah","email":"dhutchinson@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":649574,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70178122,"text":"70178122 - 2016 - Influence of Didymosphenia geminata blooms on prey composition and associated diet and growth of Brown Trout","interactions":[],"lastModifiedDate":"2016-11-03T11:16:15","indexId":"70178122","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Influence of Didymosphenia geminata blooms on prey composition and associated diet and growth of Brown Trout","docAbstract":"We compared diet, stomach fullness, condition, and growth of Brown Trout Salmo trutta among streams with or without blooms of the benthic diatom Didymosphenia geminata in the Black Hills, South Dakota. In Rapid Creek, where D. geminata blooms covered ∼30% of the stream bottom, Brown Trout consumed fewer ephemeropterans (6–8% by weight) than individuals from two stream sections that have not had D. geminatablooms (Castle and Spearfish creeks; 13–39% by weight). In contrast, dipterans (primarily Chironomidae) represented a larger percentage of Brown Trout diets from Rapid Creek (D. geminata blooms present; 16–28% dry weight) compared with diets of trout from streams without D. geminata blooms (6–19% dry weight). Diets of small Brown Trout (100–199 mm TL) reflected the invertebrate species composition in benthic stream samples; in Rapid Creek, ephemeropterans were less abundant whereas dipterans were more abundant than in streams without D. geminata blooms. Stomach fullness and condition of Brown Trout from Rapid Creek were generally greater than those of Brown Trout from other populations. Linkages among invertebrate availability, diet composition, and condition of Brown Trout support the hypothesis that changes in invertebrate assemblages associated with D. geminata (i.e., more Chironomidae) could be contributing to high recruitment success for small Brown Trout in Rapid Creek.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00028487.2015.1111255","usgsCitation":"James, D.A., and Chipps, S.R., 2016, Influence of Didymosphenia geminata blooms on prey composition and associated diet and growth of Brown Trout: Transactions of the American Fisheries Society, v. 145, no. 1, p. 195-205, https://doi.org/10.1080/00028487.2015.1111255.","productDescription":"11 p.","startPage":"195","endPage":"205","ipdsId":"IP-064495","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":330685,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"145","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-01-08","publicationStatus":"PW","scienceBaseUri":"581c4cc4e4b09688d6e90fcb","contributors":{"authors":[{"text":"James, Daniel A.","contributorId":41737,"corporation":false,"usgs":true,"family":"James","given":"Daniel","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":652878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chipps, Steven R. 0000-0001-6511-7582 steve_chipps@usgs.gov","orcid":"https://orcid.org/0000-0001-6511-7582","contributorId":2243,"corporation":false,"usgs":true,"family":"Chipps","given":"Steven","email":"steve_chipps@usgs.gov","middleInitial":"R.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":652865,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70180371,"text":"70180371 - 2016 - Potentiometric surface and water-level difference maps of selected confined aquifers in Southern Maryland and Maryland’s Eastern Shore, 1975-2015","interactions":[],"lastModifiedDate":"2017-02-16T15:41:14","indexId":"70180371","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"Potentiometric surface and water-level difference maps of selected confined aquifers in Southern Maryland and Maryland’s Eastern Shore, 1975-2015","docAbstract":"Key Results\r\n\r\nThis report presents potentiometric-surface maps of the Aquia and Magothy aquifers and the Upper Patapsco, Lower Patapsco, and Patuxent aquifer systems using water levels measured during September 2015. Water-level difference maps are also presented for these aquifers. The water-level differences in the Aquia aquifer are shown using groundwater-level data from 1982 and 2015, while the water-level differences are shown for the Magothy aquifer using data from 1975 and 2015. Water-level difference maps for both the Upper Patapsco and Lower Patapsco aquifer systems are shown using data from 1990 and 2015. The water-level differences in the Patuxent aquifer system are shown using groundwater-level data from 2007 and 2015.\r\n\r\nThe potentiometric surface maps show water levels ranging from 53 feet above sea level to 164 feet below sea level in the Aquia aquifer, from 86 feet above sea level to 106 feet below sea level in the Magothy aquifer, from 115 feet above sea level to 115 feet below sea level in the Upper Patapsco aquifer system, from 106 feet above sea level to 194 feet below sea level in the Lower Patapsco aquifer system, and from 165 feet above sea level to 171 feet below sea level in the Patuxent aquifer system. Water levels have declined by as much as 116 feet in the Aquia aquifer since 1982, 99 feet in the Magothy aquifer since 1975, 66 and 83 feet in the Upper Patapsco and Lower Patapsco aquifer systems, respectively, since 1990, and 80 feet in the Patuxent aquifer system since 2007.","language":"English","publisher":"Maryland Geological Survey","collaboration":"Maryland Geological Survey; Maryland Department of Natural Resources","usgsCitation":"Curtin, S.E., Staley, A.W., and Andreasen, D.C., 2016, Potentiometric surface and water-level difference maps of selected confined aquifers in Southern Maryland and Maryland’s Eastern Shore, 1975-2015, iii., 30 p. .","productDescription":"iii., 30 p. ","ipdsId":"IP-077192","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":335793,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":334236,"type":{"id":15,"text":"Index Page"},"url":"https://www.mgs.md.gov/publications/report_pages/OFR_16-02-02.html"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58a6c833e4b025c464286294","contributors":{"authors":[{"text":"Curtin, Stephen E. securtin@usgs.gov","contributorId":3703,"corporation":false,"usgs":true,"family":"Curtin","given":"Stephen","email":"securtin@usgs.gov","middleInitial":"E.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":661415,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Staley, Andrew W.","contributorId":178867,"corporation":false,"usgs":false,"family":"Staley","given":"Andrew","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":661416,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andreasen, David C.","contributorId":178868,"corporation":false,"usgs":false,"family":"Andreasen","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":661417,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70191522,"text":"70191522 - 2016 - Estimating abundance: Chapter 27","interactions":[],"lastModifiedDate":"2017-11-30T12:58:43","indexId":"70191522","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Estimating abundance: Chapter 27","docAbstract":"This chapter provides a non-technical overview of ‘closed population capture–recapture’ models, a class of well-established models that are widely applied in ecology, such as removal sampling, covariate models, and distance sampling. These methods are regularly adopted for studies of reptiles, in order to estimate abundance from counts of marked individuals while accounting for imperfect detection. Thus, the chapter describes some classic closed population models for estimating abundance, with considerations for some recent extensions that provide a spatial context for the estimation of abundance, and therefore density. Finally, the chapter suggests some software for use in data analysis, such as the Windows-based program MARK, and provides an example of estimating abundance and density of reptiles using an artificial cover object survey of Slow Worms (Anguis fragilis).
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Reptile ecology and conservation: A handbook of techniques","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Oxford University Press","doi":"10.1093/acprof:oso/9780198726135.003.0027","usgsCitation":"Royle, J., 2016, Estimating abundance: Chapter 27, chap. of Reptile ecology and conservation: A handbook of techniques, p. 388-401, https://doi.org/10.1093/acprof:oso/9780198726135.003.0027.","productDescription":"14 p.","startPage":"388","endPage":"401","ipdsId":"IP-066002","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":349590,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fd88e4b06e28e9c24fdf","contributors":{"authors":[{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":138865,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":712610,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70191463,"text":"70191463 - 2016 - The role of science through a century of elk and habitat management at Rocky Mountain National Park","interactions":[],"lastModifiedDate":"2017-10-13T11:27:27","indexId":"70191463","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3014,"text":"Park Science","active":true,"publicationSubtype":{"id":10}},"title":"The role of science through a century of elk and habitat management at Rocky Mountain National Park","docAbstract":"Over the past century elk (Cervus elaphus) management in Rocky Mountain National Park has evolved along with NPS policy, social values, and an improved understanding of the role of elk in the ecosystem. Science has played an important part in shaping management approaches through the application of monitoring and research (Monello et al. 2006).
","language":"English","publisher":"National Park Service","usgsCitation":"Johnson, T., Zeigenfuss, L., Hobbs, N., and Mack, J., 2016, The role of science through a century of elk and habitat management at Rocky Mountain National Park: Park Science, v. 32, no. 2, p. 70-72.","productDescription":"3 p.","startPage":"70","endPage":"72","ipdsId":"IP-065603","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":346578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346577,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.nps.gov/ParkScience/articles/parkscience32_2_70-72_johnson_et_al_3841.htm"}],"country":"United States","otherGeospatial":"Rocky Mountain National Park","volume":"32","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e1d09ae4b05fe04cd117be","contributors":{"authors":[{"text":"Johnson, Therese L.","contributorId":197040,"corporation":false,"usgs":false,"family":"Johnson","given":"Therese L.","affiliations":[],"preferred":false,"id":712362,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zeigenfuss, Linda 0000-0002-6700-8563 linda_zeigenfuss@usgs.gov","orcid":"https://orcid.org/0000-0002-6700-8563","contributorId":2079,"corporation":false,"usgs":true,"family":"Zeigenfuss","given":"Linda","email":"linda_zeigenfuss@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":712361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hobbs, N. Thompson","contributorId":197041,"corporation":false,"usgs":false,"family":"Hobbs","given":"N. Thompson","affiliations":[],"preferred":false,"id":712363,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mack, John A.","contributorId":197042,"corporation":false,"usgs":false,"family":"Mack","given":"John A.","affiliations":[],"preferred":false,"id":712364,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70196351,"text":"70196351 - 2016 - Estimating abundance","interactions":[],"lastModifiedDate":"2018-04-03T11:48:19","indexId":"70196351","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Estimating abundance","docAbstract":"This chapter provides a non-technical overview of ‘closed population capture–recapture’ models, a class of well-established models that are widely applied in ecology, such as removal sampling, covariate models, and distance sampling. These methods are regularly adopted for studies of reptiles, in order to estimate abundance from counts of marked individuals while accounting for imperfect detection. Thus, the chapter describes some classic closed population models for estimating abundance, with considerations for some recent extensions that provide a spatial context for the estimation of abundance, and therefore density. Finally, the chapter suggests some software for use in data analysis, such as the Windows-based program MARK, and provides an example of estimating abundance and density of reptiles using an artificial cover object survey of Slow Worms (Anguis fragilis).
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Reptile ecology and conservation: A handbook of techniques","language":"English","publisher":"Oxford University Press","doi":"10.1093/acprof:oso/9780198726135.003.0027","usgsCitation":"Sutherland, C., and Royle, A., 2016, Estimating abundance, chap. of Reptile ecology and conservation: A handbook of techniques, p. 388-401, https://doi.org/10.1093/acprof:oso/9780198726135.003.0027.","productDescription":"14 p.","startPage":"388","endPage":"401","ipdsId":"IP-070653","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":353097,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeea4be4b0da30c1bfc5dd","contributors":{"authors":[{"text":"Sutherland, Chris","contributorId":150670,"corporation":false,"usgs":false,"family":"Sutherland","given":"Chris","affiliations":[],"preferred":false,"id":732536,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":732535,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70192861,"text":"70192861 - 2016 - Field and laboratory determination of water-surface elevation and velocity using noncontact measurements","interactions":[],"lastModifiedDate":"2018-02-15T10:56:55","indexId":"70192861","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Field and laboratory determination of water-surface elevation and velocity using noncontact measurements","docAbstract":"Noncontact methods for measuring water-surface elevation and velocity in laboratory flumes and rivers are presented with examples. Water-surface elevations are measured using an array of acoustic transducers in the laboratory and using laser scanning in field situations. Water-surface velocities are based on using particle image velocimetry or other machine vision techniques on infrared video of the water surface. Using spatial and temporal averaging, results from these methods provide information \nthat can be used to develop estimates of discharge for flows over known bathymetry. Making such estimates requires relating water-surface velocities to vertically averaged velocities; the methods here use standard relations. To examine where these relations break down, laboratory data for flows over simple bumps of three amplitudes are evaluated. As anticipated, discharges determined from surface information can have large errors where nonhydrostatic effects are large. In addition to investigating and characterizing this potential error in estimating discharge, a simple method for correction of the issue is presented. With a simple correction based on bed gradient along the flow direction, remotely sensed estimates of discharge appear to be viable.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 20th Congress of the Asia Pacific Division of the International Association for Hydro Environment Engineering & Research","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"20th Congress of the Asia Pacific Division of the International Association for Hydro Environment Engineering & Research","conferenceDate":"August 28-31, 2016","conferenceLocation":"Colombo, Sri Lanka","language":"English","publisher":"International Association of Hydraulic Research","usgsCitation":"Nelson, J.M., Kinzel, P.J., Schmeeckle, M.W., McDonald, R.R., and Minear, J., 2016, Field and laboratory determination of water-surface elevation and velocity using noncontact measurements, in Proceedings of the 20th Congress of the Asia Pacific Division of the International Association for Hydro Environment Engineering & Research, Colombo, Sri Lanka, August 28-31, 2016.","ipdsId":"IP-073816","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":351651,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeea4ce4b0da30c1bfc5e5","contributors":{"authors":[{"text":"Nelson, Jonathan M. 0000-0002-7632-8526 jmn@usgs.gov","orcid":"https://orcid.org/0000-0002-7632-8526","contributorId":2812,"corporation":false,"usgs":true,"family":"Nelson","given":"Jonathan","email":"jmn@usgs.gov","middleInitial":"M.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":717235,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kinzel, Paul J. 0000-0002-6076-9730 pjkinzel@usgs.gov","orcid":"https://orcid.org/0000-0002-6076-9730","contributorId":743,"corporation":false,"usgs":true,"family":"Kinzel","given":"Paul","email":"pjkinzel@usgs.gov","middleInitial":"J.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":717236,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmeeckle, Mark Walter","contributorId":195264,"corporation":false,"usgs":false,"family":"Schmeeckle","given":"Mark","email":"","middleInitial":"Walter","affiliations":[],"preferred":false,"id":717237,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McDonald, Richard R. 0000-0002-0703-0638 rmcd@usgs.gov","orcid":"https://orcid.org/0000-0002-0703-0638","contributorId":2428,"corporation":false,"usgs":true,"family":"McDonald","given":"Richard","email":"rmcd@usgs.gov","middleInitial":"R.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":717238,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Minear, Justin T.","contributorId":198828,"corporation":false,"usgs":false,"family":"Minear","given":"Justin T.","affiliations":[],"preferred":false,"id":717239,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70176289,"text":"70176289 - 2016 - A centroid model of species distribution with applications to the Carolina wren Thryothorus ludovicianus and house finch Haemorhous mexicanus in the United States","interactions":[],"lastModifiedDate":"2018-03-28T11:11:10","indexId":"70176289","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"displayTitle":"A centroid model of species distribution with applications to the Carolina wren Thryothorus ludovicianus and house finch Haemorhous mexicanus in the United States","title":"A centroid model of species distribution with applications to the Carolina wren Thryothorus ludovicianus and house finch Haemorhous mexicanus in the United States","docAbstract":"Drastic shifts in species distributions are a cause of concern for ecologists. Such shifts pose great threat to biodiversity especially under unprecedented anthropogenic and natural disturbances. Many studies have documented recent shifts in species distributions. However, most of these studies are limited to regional scales, and do not consider the abundance structure within species ranges. Developing methods to detect systematic changes in species distributions over their full ranges is critical for understanding the impact of changing environments and for successful conservation planning. Here, we demonstrate a centroid model for range-wide analysis of distribution shifts using the North American Breeding Bird Survey. The centroid model is based on a hierarchical Bayesian framework which models population change within physiographic strata while accounting for several factors affecting species detectability. Yearly abundance-weighted range centroids are estimated. As case studies, we derive annual centroids for the Carolina wren and house finch in their ranges in the U.S. We further evaluate the first-difference correlation between species’ centroid movement and changes in winter severity, total population abundance. We also examined associations of change in centroids from sub-ranges. Change in full-range centroid movements of Carolina wren significantly correlate with snow cover days (r = −0.58). For both species, the full-range centroid shifts also have strong correlation with total abundance (r = 0.65, and 0.51 respectively). The movements of the full-range centroids of the two species are correlated strongly (up to r = 0.76) with that of the sub-ranges with more drastic population changes. Our study demonstrates the usefulness of centroids for analyzing distribution changes in a two-dimensional spatial context. Particularly it highlights applications that associate the centroid with factors such as environmental stressors, population characteristics, and progression of invasive species. Routine monitoring of changes in centroid will provide useful insights into long-term avian responses to environmental changes.
","language":"English","publisher":"Wiley","doi":"10.1111/ecog.01447","usgsCitation":"Huang, Q., Sauer, J.R., Swatantran, A., and Dubayah, R., 2016, A centroid model of species distribution with applications to the Carolina wren Thryothorus ludovicianus and house finch Haemorhous mexicanus in the United States: Ecography, v. 39, no. 1, p. 54-66, https://doi.org/10.1111/ecog.01447.","productDescription":"13 p.","startPage":"54","endPage":"66","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":328315,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"1","noUsgsAuthors":false,"publicationDate":"2015-04-25","publicationStatus":"PW","scienceBaseUri":"57d13a2ce4b0571647cf8d09","contributors":{"authors":[{"text":"Huang, Qiongyu","contributorId":174402,"corporation":false,"usgs":false,"family":"Huang","given":"Qiongyu","affiliations":[],"preferred":false,"id":648992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sauer, John R. jrsauer@usgs.gov","contributorId":138949,"corporation":false,"usgs":true,"family":"Sauer","given":"John","email":"jrsauer@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":false,"id":648993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Swatantran, Anu","contributorId":174403,"corporation":false,"usgs":false,"family":"Swatantran","given":"Anu","email":"","affiliations":[],"preferred":false,"id":648994,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dubayah, Ralph","contributorId":174404,"corporation":false,"usgs":false,"family":"Dubayah","given":"Ralph","affiliations":[],"preferred":false,"id":648995,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70181770,"text":"70181770 - 2016 - Targets set to reduce Lake Erie algae","interactions":[],"lastModifiedDate":"2017-02-16T15:34:57","indexId":"70181770","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"Targets set to reduce Lake Erie algae","docAbstract":"In February 2016, the Great Lakes Executive Committee, which oversees the implementation of the Great Lakes Water Quality Agreement (GLWQA) between the U.S. and Canada, approved phosphorus loading targets for Lake Erie to reduce the size of harmful algal blooms (HABs), reduce the presence of the low oxygen zone in the central basin, and protect nearshore water quality. The targets are set with respect to the nutrient loads calculated for 2008. To reduce the impacts of HABs on Lake Erie a target was set of a 40 percent reduction in total and soluble reactive phosphorus loads in the spring from two Canadian rivers and several Michigan and Ohio rivers, especially the Maumee River (https://binational.net/2016/02/22/ finalptargets-ciblesfinalesdep/). States and the province of Ontario are already developing Domestic Action Plans to accomplish the reductions and scientists are developing research and monitoring plans to assess progress.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Michigan State of the Great Lakes","language":"English","publisher":"Michigan Office of the Great Lakes","collaboration":"Michigan Department of Environmental Quality","usgsCitation":"Evans, M.A., 2016, Targets set to reduce Lake Erie algae, 2 p.","productDescription":"2 p.","startPage":"12","endPage":"13","ipdsId":"IP-081007","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":335790,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":335280,"type":{"id":15,"text":"Index Page"},"url":"https://www.michigan.gov/documents/deq/SOGL_2016_546173_7.pdf"}],"publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"58a6c833e4b025c464286290","contributors":{"authors":[{"text":"Evans, Mary Anne 0000-0002-1627-7210 maevans@usgs.gov","orcid":"https://orcid.org/0000-0002-1627-7210","contributorId":149358,"corporation":false,"usgs":true,"family":"Evans","given":"Mary","email":"maevans@usgs.gov","middleInitial":"Anne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":668452,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70192113,"text":"70192113 - 2016 - Physical condition and stress levels during early development reflect feeding rates and predict pre- and post-fledging survival in a nearshore seabird","interactions":[],"lastModifiedDate":"2017-10-23T15:19:31","indexId":"70192113","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3919,"text":"Conservation Physiology","onlineIssn":"2051-1434","active":true,"publicationSubtype":{"id":10}},"title":"Physical condition and stress levels during early development reflect feeding rates and predict pre- and post-fledging survival in a nearshore seabird","docAbstract":"The effects of acute environmental stressors on reproduction in wildlife are often difficult to measure because of the labour and disturbance involved in collecting accurate reproductive data. Stress hormones represent a promising option for assessing the effects of environmental perturbations on altricial young; however, it is necessary first to establish how stress levels are affected by environmental conditions during development and whether elevated stress results in reduced survival and recruitment rates. In birds, the stress hormone corticosterone is deposited in feathers during the entire period of feather growth, making it an integrated measure of background stress levels during development. We tested the utility of feather corticosterone levels in 3- to 4-week-old nestling brown pelicans (Pelecanus occidentalis) for predicting survival rates at both the individual and colony levels. We also assessed the relationship of feather corticosterone to nestling body condition and rates of energy delivery to nestlings. Chicks with higher body condition and lower corticosterone levels were more likely to fledge and to be resighted after fledging, whereas those with lower body condition and higher corticosterone levels were less likely to fledge or be resighted after fledging. Feather corticosterone was also associated with intracolony differences in survival between ground and elevated nest sites. Colony-wide, mean feather corticosterone predicted nest productivity, chick survival and post-fledging dispersal more effectively than did body condition, although these relationships were strongest before fledglings dispersed away from the colony. Both reproductive success and nestling corticosterone were strongly related to nutritional conditions, particularly meal delivery rates. We conclude that feather corticosterone is a powerful predictor of reproductive success and could provide a useful metric for rapidly assessing the effects of changes in environmental conditions, provided pre-existing baseline variation is monitored and understood.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/conphys/cow060","usgsCitation":"Lamb, J.S., O’Reilly, K.M., and Jodice, P.G., 2016, Physical condition and stress levels during early development reflect feeding rates and predict pre- and post-fledging survival in a nearshore seabird: Conservation Physiology, v. 4, no. 1, Article cow060; 14 p., https://doi.org/10.1093/conphys/cow060.","productDescription":"Article cow060; 14 p.","ipdsId":"IP-079141","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":471368,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/conphys/cow060","text":"Publisher Index Page"},{"id":347158,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.3828125,\n 27.352252938063845\n ],\n [\n -82.4853515625,\n 27.352252938063845\n ],\n [\n -82.4853515625,\n 30.90222470517144\n ],\n [\n -97.3828125,\n 30.90222470517144\n ],\n [\n -97.3828125,\n 27.352252938063845\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"4","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2016-12-09","publicationStatus":"PW","scienceBaseUri":"59eeffabe4b0220bbd988fc1","contributors":{"authors":[{"text":"Lamb, Juliet S. 0000-0003-0358-3240","orcid":"https://orcid.org/0000-0003-0358-3240","contributorId":198059,"corporation":false,"usgs":false,"family":"Lamb","given":"Juliet","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":714962,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Reilly, Kathleen M.","contributorId":198060,"corporation":false,"usgs":false,"family":"O’Reilly","given":"Kathleen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":714963,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X pjodice@usgs.gov","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":1119,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","email":"pjodice@usgs.gov","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":714279,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70192079,"text":"70192079 - 2016 - Testing and use of radar water level sensors by the U.S. Geological Survey","interactions":[],"lastModifiedDate":"2018-02-27T13:29:43","indexId":"70192079","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Testing and use of radar water level sensors by the U.S. Geological Survey","docAbstract":"The United States Geological Survey uses water-level (or stage) measurements to compute streamflow at over 8000 stream gaging stations located throughout the United States (waterwatch.usgs.gov, 2016). Streamflow (or discharge) is computed at five minute to hourly intervals from a relationship between water level and discharge that is uniquely determined for each station. The discharges are posted hourly to WaterWatch (waterwatch. usgs.gov) and are used by water managers to issue flood warnings and manage water supply and by other users of water information to make decisions. The accuracy of the water-level measurement is vital to the accuracy of the computed discharge. Because of the importance of water-level measurements, USGS has an accuracy policy of 0.02 ft or 0.2 percent of reading (whichever is larger) (Sauer and Turnipseed, 2010). Older technologies, such as float and shaft-encoder systems, bubbler systems and submersible pressure sensors, provide the needed accuracy but often require extensive construction to install and are prone to malfunctioning and damage from floating debris and sediment. No stilling wells or orifice lines need to be constructed for radar installations. During the last decade testing by the USGS Hydrologic Instrumentation Facility(HIF) found that radar water-level sensors can provide the needed accuracy for water-level measurements and because the sensor can be easily attached to bridges, reduce the construction required for installation. Additionally, the non-contact sensing of water level minimizes or eliminates damage and fouling from floating debris and sediment. This article is a brief summary of the testing efforts by the USGS HIF and field experiences with models of radar water-level sensors in streamflow measurement applications. Any use of trade names in this article is for descriptive purposes only and does not imply endorsement by the U.S. Government.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Manual on sea level: Measurement and interpretation Volume V: Radar gauges","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"United Nations Educational, Scientific and Cultural Organization","usgsCitation":"Fulford, J.M., 2016, Testing and use of radar water level sensors by the U.S. Geological Survey, 4 p.","productDescription":"4 p.","startPage":"121","endPage":"124","ipdsId":"IP-072695","costCenters":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"links":[{"id":352083,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346989,"type":{"id":15,"text":"Index Page"},"url":"https://unesdoc.unesco.org/images/0024/002469/246981E.pdf"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afeea4ce4b0da30c1bfc5eb","contributors":{"authors":[{"text":"Fulford, Janice M. jfulford@usgs.gov","contributorId":991,"corporation":false,"usgs":true,"family":"Fulford","given":"Janice","email":"jfulford@usgs.gov","middleInitial":"M.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":714093,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70192206,"text":"70192206 - 2016 - 2015 status of the Lake Ontario lower trophic levels","interactions":[],"lastModifiedDate":"2023-05-09T14:21:14.12708","indexId":"70192206","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":5114,"text":"NYSDEC Lake Ontario Annual Report ","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"2015","chapter":"16","title":"2015 status of the Lake Ontario lower trophic levels","docAbstract":"The United States and Mexico share waters in a number of hydrological basins and aquifers that cross the international boundary. Both countries recognize that, in a region of scarce water resources and expanding populations, a greater scientific understanding of these aquifer systems would be beneficial. In light of this, the Mexican and U.S. Principal Engineers of the International Boundary and Water Commission (IBWC) signed the “Joint Report of the Principal Engineers Regarding the Joint Cooperative Process United States-Mexico for the Transboundary Aquifer Assessment Program\" on August 19, 2009 (IBWC-CILA, 2009). This IBWC “Joint Report” serves as the framework for U.S.-Mexico coordination and dialogue to implement transboundary aquifer studies. The document clarifies several details about the program such as background, roles, responsibilities, funding, relevance of the international water treaties, and the use of information collected or compiled as part of the program. In the document, it was agreed by the parties involved, which included the IBWC, the Mexican National Water Commission (CONAGUA), the U.S. Geological Survey (USGS), and the Universities of Arizona and Sonora, to study two priority binational aquifers, one in the San Pedro River basin and the other in the Santa Cruz River basin.
This report focuses on the Binational San Pedro Basin (BSPB). Reasons for the focus on and interest in this aquifer include the fact that it is shared by the two countries, that the San Pedro River has an elevated ecological value because of the riparian ecosystem that it sustains, and that water resources are needed to sustain the river, existing communities, and continued development. This study describes the aquifer’s characteristics in its binational context; however, most of the scientific work has been undertaken for many years by each country without full knowledge of the conditions on the other side of the border. The general objective of this study is to use new and existing research to define the general hydrologic framework of the Binational San Pedro Aquifer (BSPA), to gather hydrogeological and other relevant data in preparation for future work such as an updated groundwater conceptual model and budget and to establish the basis for a binational numerical model.
The specific objectives are as follows:
The BSPB is one of the most studied basins in the region, and a database of publications has been compiled as part of this project. Previous studies include topics that range from geophysics and hydrogeology to biology and ecosystem services. The economic drivers on each side of the border are quite different. In the Arizona 4 portion of the basin military and tourism dominate while in the Sonoran portion, mining is the most important industry. Water management is also different in the two countries. In Mexico, primary authority for management of water resources devolves from the federal government. In the United States, primary authority rests with the states except in cases of interstate surface waters. Binational waters are not currently jointly managed by the two countries except in cases where treaties have been negotiated such as for the Rio Grande and Colorado Rivers. Thus, there is currently no binational coordination or treaty governing the management of groundwater.
During the 2004–2005 to 2015–2016 hunting seasons, the New Mexico Department of Game and Fish (NMDGF) estimated black bear abundance (Ursus americanus) across the state by coupling density estimates with the distribution of primary habitat generated by Costello et al. (2001). These estimates have been used to set harvest limits. For example, a density of 17 bears/100 km2 for the Sangre de Cristo and Sacramento Mountains and 13.2 bears/100 km2 for the Sandia Mountains were used to set harvest levels. The advancement and widespread acceptance of non-invasive sampling and mark-recapture methods, prompted the NMDGF to collaborate with the New Mexico Cooperative Fish and Wildlife Research Unit and New Mexico State University to update their density estimates for black bear populations in select mountain ranges across the state.
We established 5 study areas in 3 mountain ranges: the northern (NSC; sampled in 2012) and southern Sangre de Cristo Mountains (SSC; sampled in 2013), the Sandia Mountains (Sandias; sampled in 2014), and the northern (NSacs) and southern Sacramento Mountains (SSacs; both sampled in 2014). We collected hair samples from black bears using two concurrent non-invasive sampling methods, hair traps and bear rubs. We used a gender marker and a suite of microsatellite loci to determine the individual identification of hair samples that were suitable for genetic analysis. We used these data to generate mark-recapture encounter histories for each bear and estimated density in a spatially explicit capture-recapture framework (SECR). We constructed a suite of SECR candidate models using sex, elevation, land cover type, and time to model heterogeneity in detection probability and the spatial scale over which detection probability declines. We used Akaike’s Information Criterion corrected for small sample size (AICc) to rank and select the most supported model from which we estimated density.
We set 554 hair traps, 117 bear rubs and collected 4,083 hair samples. We identified 725 (367 M, 358 F) individuals; the sex ratio for each study area was approximately equal. Our density estimates varied within and among mountain ranges with an estimated density of 21.86 bears/100 km2 (95% CI: 17.83 – 26.80) for the NSC, 19.74 bears/100 km2 (95% CI: 13.77 – 28.30) in the SSC, 25.75 bears/100 km2 (95% CI: 13.22 – 50.14) in the Sandias, 21.86 bears/100 km2 (95% CI: 17.83 – 26.80) in the NSacs, and 16.55 bears/100 km2 (95% CI: 11.64 – 23.53) in the SSacs. Overall detection probability for hair traps and bear rubs, combined, was low across all study areas and ranged from 0.00001 to 0.02. We speculate that detection probabilities were affected by failure of some hair samples to produce a complete genotype due to UV degradation of DNA, and our inability to set and check some sampling devices due to wildfires in the SSC. Ultraviolet radiation levels are particularly high in New Mexico compared to other states where NGS methods have been used because New Mexico receives substantial amounts of sunshine, is relatively high in elevation (1,200 m – 4,000 m), and is at a lower latitude. Despite these sampling difficulties, we were able to produce density estimates for New Mexico black bear populations with levels of precision comparable to estimated black bear densities made elsewhere in the U.S.
Our ability to generate reliable black bear density estimates for 3 New Mexico mountain ranges is attributable to our use of a statistically robust study design and analytical method. There are multiple factors that need to be considered when developing future SECR-based density estimation projects. First, the spatial extent of the population of interest and the smallest average home range size must be determined; these will dictate size of the trapping array and spacing necessary between hair traps. The number of technicians needed and access to the study areas will also influence configuration of the trapping array. We believe shorter sampling occasions could be implemented to reduce degradation of DNA due to UV radiation; this might help increase amplification rates and thereby increase both the number of unique individuals identified and the number of recaptures, improving the precision of the density estimates. A pilot study may be useful to determine the length of time hair samples can remain in the field prior to collection. In addition, researchers may consider setting hair traps and bear rubs in more shaded areas (e.g., north facing slopes) to help reduce exposure to UV radiation. To reduce the sampling interval it will be necessary to either hire more field personnel or decrease the number of hair traps per sampling session. Both of these will enhance detection of long-range movement events by individual bears, increase initial capture and recapture rates, and improve precision of the parameter estimates. We recognize that all studies are constrained by limited resources, however, increasing field personnel would also allow a larger study area to be sampled or enable higher trap density.
In conclusion, we estimated the density of black bears in 5 study areas within 3 mountains ranges of New Mexico. Our estimates will aid the NMDGF in setting sustainable harvest limits. Along with estimates of density, information on additional demographic rates (e.g., survival rates and reproduction) and the potential effects that climate change and future land use may have on the demography of black bears may also help inform management of black bears in New Mexico, and may be considered as future areas for research.
","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Gould, M.J., Cain, J.W., Roemer, G.W., and Gould, W., 2016, Estimating black bear density in New Mexico using noninvasive genetic sampling coupled with spatially explicit capture-recapture methods: Cooperator Science Series FWS/CSS-120-2016, ii, 41 p.","productDescription":"ii, 41 p.","numberOfPages":"43","ipdsId":"IP-074771","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":350702,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350701,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://digitalmedia.fws.gov/cdm/ref/collection/document/id/2132"}],"country":"United States","state":"New Mexico","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6c4c96e4b06e28e9cabb0a","contributors":{"authors":[{"text":"Gould, Matthew J.","contributorId":201504,"corporation":false,"usgs":false,"family":"Gould","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":725970,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":713806,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roemer, Gary W.","contributorId":95355,"corporation":false,"usgs":true,"family":"Roemer","given":"Gary","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":725971,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gould, William R.","contributorId":63780,"corporation":false,"usgs":true,"family":"Gould","given":"William R.","affiliations":[],"preferred":false,"id":725972,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70191988,"text":"70191988 - 2016 - Ecology and conservation of Lesser Prairie-Chickens","interactions":[],"lastModifiedDate":"2018-01-25T13:38:17","indexId":"70191988","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":4,"text":"Book"},"title":"Ecology and conservation of Lesser Prairie-Chickens","docAbstract":"Lesser Prairie-Chickens have experienced substantial declines in terms of population and the extent of area that they occupy. While they are an elusive species, making it difficult at times to monitor them, current evidence indicates that they have been persistently decreasing in number since the Dust Bowl of the 1930s dramatically affected their core range. In May of 2014, the United States Fish and Wildlife Service listed Lesser Prairie-Chickens as a threatened species, granting them federal protection under the Endangered Species Act, which included a special rule recognizing significant conservation planning efforts made by state and federal wildlife agencies within the geographical range of the species. Although the listing was vacated by judicial ruling in September 2015, concern for persistence of the species persists. These actions illustrate the uncertain legal status and future conservation challenges for Lesser Prairie-Chickens.
","language":"English","publisher":"CRC Press","isbn":"9781482240221","usgsCitation":"2016, Ecology and conservation of Lesser Prairie-Chickens, 376 p.","productDescription":"376 p.","ipdsId":"IP-059262","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":350620,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":350619,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.crcpress.com/Ecology-and-Conservation-of-Lesser-Prairie-Chickens/Haukos-Boal/p/book/9781482240221"}],"publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a6afac7e4b06e28e9c9a910","contributors":{"editors":[{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":725823,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":725824,"contributorType":{"id":2,"text":"Editors"},"rank":2}]}} ,{"id":70192674,"text":"70192674 - 2016 - Microhabitat suitability and niche breadth of common and imperiled Atlantic Slope freshwater mussels","interactions":[],"lastModifiedDate":"2020-12-17T21:12:10.021719","indexId":"70192674","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5254,"text":"Freshwater Mollusk Biology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Microhabitat suitability and niche breadth of common and imperiled Atlantic Slope freshwater mussels","docAbstract":"Knowledge of the habitat suitability of freshwater mussels (family Unionidae) is necessary for effective decision making in conservation and management. We empirically measured microhabitat use for 10 unionid mussel species, including the U.S. federally endangered Alasmidonta heterodon, at 20 sites in the Tar River basin, North Carolina, USA. We also quantified habitat availability at each site, and calculated habitat suitability for each mussel species. The majority of available habitat across all sites consisted of shallow, slow-moving water with penetrable silt or sand substrate. Among species, mean water depth of occupied habitats ranged 0.23 – 0.54 m, mean bottom velocity ranged 0.001 – 0.055 m/s, average mean-column velocity ranged 0 – 0.055 m/s, and mean substrate penetrability ranged 0.11 – 11.67 on an index scale. The most commonly measured dominant substrate materials were silt, sand, very coarse sand, pea gravel, and coarse gravel. The most common cover types were coarse woody debris and fine woody debris. These findings revealed a relationship between the niche breadth and conservation status of four species. Federally endangered A. heterodon consistently showed a narrower suite of suitable microhabitats than the common mussel Elliptio complanata. The range of suitable habitat characteristics for Fusconaia masoni and Villosa constricta, listed as North Carolina (USA) state endangered and special concern, respectively, was typically narrower than those of E. complanata and wider than those of A. heterodon. These habitat suitability criteria and relationships will be useful to guide identification of suitable sites for habitat protection, mussel relocation, or site restoration.
","language":"English","publisher":"Freshwater Mollusk Conservation Society","doi":"10.31931/fmbc.v19i2.2016.27-50","usgsCitation":"Pandolfo, T.J., Kwak, T.J., and Cope, W., 2016, Microhabitat suitability and niche breadth of common and imperiled Atlantic Slope freshwater mussels: Freshwater Mollusk Biology and Conservation, v. 19, no. 2, p. 27-50, https://doi.org/10.31931/fmbc.v19i2.2016.27-50.","productDescription":"24 p.","startPage":"27","endPage":"50","ipdsId":"IP-074802","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":471373,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.31931/fmbc.v19i2.2016.27-50","text":"Publisher Index Page"},{"id":349350,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Tar River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.03887939453125,\n 35.53222622770337\n ],\n [\n -76.97982788085938,\n 35.69187929931617\n ],\n [\n -77.47146606445312,\n 36.01800375871416\n ],\n [\n -77.706298828125,\n 35.85789180225939\n ],\n [\n -77.78182983398438,\n 35.74874138089811\n ],\n [\n -77.5469970703125,\n 35.51434313431818\n ],\n [\n -77.25173950195312,\n 35.49198366469642\n ],\n [\n -77.03887939453125,\n 35.53222622770337\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"19","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a60fd88e4b06e28e9c24fd5","contributors":{"authors":[{"text":"Pandolfo, Tamara J.","contributorId":146388,"corporation":false,"usgs":false,"family":"Pandolfo","given":"Tamara","email":"","middleInitial":"J.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":723525,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":716698,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cope, W. 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Discontinuities (ecologically meaningful habitat breaks), both naturally occurring (e.g., river confluence, forest edge, drop-off) and anthropogenic (e.g., dams, roads), can influence the distribution of highly mobile organisms that have land- or seascape scale ranges. A geomorphic discontinuity framework, expanded to include ecological patterns, provides a way to incorporate important but irregularly distributed physical features into organism–environment relationships. Here, we test if migratory striped bass (Morone saxatilis) are consistently concentrated by spatial discontinuities and why. We quantified the distribution of 50 acoustically tagged striped bass at 40 sites within Plum Island Estuary, Massachusetts during four-monthly surveys relative to four physical discontinuities (sandbar, confluence, channel network, drop-off), one continuous physical feature (depth variation), and a geographic location variable (region). Despite moving throughout the estuary, striped bass were consistently clustered in the middle geographic region at sites with high sandbar area, close to channel networks, adjacent to complex confluences, with intermediate levels of bottom unevenness, and medium sized drop-offs. In addition, the highest striped bass concentrations occurred at sites with the greatest additive physical heterogeneity (i.e., where multiple discontinuities co-occurred). The need to incorporate irregularly distributed features in organism–environment relationships will increase as high-quality telemetry and GIS data accumulate for mobile organisms. The spatially explicit approach we used to address this challenge can aid both researchers who seek to understand the impact of predators on ecosystems and resource managers who require new approaches for biological conservation.
","language":"English","publisher":"ESA","doi":"10.1002/ecs2.1226","usgsCitation":"Kennedy, C., Mather, M.E., Smith, J.M., Finn, J.T., and Deegan, L.A., 2016, Discontinuities concentrate mobile predators: Quantifying organism-environment interactions at a seascape scale: Ecosphere, v. 7, no. 2, Article e01226; 17 p., https://doi.org/10.1002/ecs2.1226.","productDescription":"Article e01226; 17 p.","ipdsId":"IP-059506","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":471364,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.1226","text":"Publisher Index Page"},{"id":347507,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"2","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2016-02-26","publicationStatus":"PW","scienceBaseUri":"5a07ea76e4b09af898c8cc8b","contributors":{"authors":[{"text":"Kennedy, Christina G.","contributorId":145646,"corporation":false,"usgs":false,"family":"Kennedy","given":"Christina G.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":716465,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mather, Martha E. 0000-0003-3027-0215 mather@usgs.gov","orcid":"https://orcid.org/0000-0003-3027-0215","contributorId":2580,"corporation":false,"usgs":true,"family":"Mather","given":"Martha","email":"mather@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":716466,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Joseph M.","contributorId":106712,"corporation":false,"usgs":false,"family":"Smith","given":"Joseph","email":"","middleInitial":"M.","affiliations":[{"id":17855,"text":"School of Aquatic and Fishery Sciences, University of Washington, Seattle, WA","active":true,"usgs":false},{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":716469,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Finn, John T.","contributorId":43398,"corporation":false,"usgs":false,"family":"Finn","given":"John","email":"","middleInitial":"T.","affiliations":[{"id":16720,"text":"Department of Environmental Conservation, University of Massachusetts, Amherst, MA 01003-9485, USA","active":true,"usgs":false}],"preferred":false,"id":716492,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Deegan, Linda A.","contributorId":34094,"corporation":false,"usgs":false,"family":"Deegan","given":"Linda","email":"","middleInitial":"A.","affiliations":[{"id":27818,"text":"The Ecosystems Center, Marine Biological Laboratory. Woods Hole, MA 02543.","active":true,"usgs":false}],"preferred":false,"id":716493,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70047190,"text":"70047190 - 2016 - Cobalt-rich manganese crusts","interactions":[],"lastModifiedDate":"2017-02-03T12:35:59","indexId":"70047190","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Cobalt-rich manganese crusts","docAbstract":"No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of marine geosciences","language":"English","publisher":"Springer","doi":"10.1007/978-94-007-6238-1_25","usgsCitation":"Hein, J.R., 2016, Cobalt-rich manganese crusts, chap. of Encyclopedia of marine geosciences, p. 113-117, https://doi.org/10.1007/978-94-007-6238-1_25.","productDescription":"5 p.","startPage":"113","endPage":"117","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-049387","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":297350,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2016-05-20","publicationStatus":"PW","scienceBaseUri":"54dd2b5be4b08de9379b3339","contributors":{"editors":[{"text":"Harff, Jan","contributorId":63957,"corporation":false,"usgs":false,"family":"Harff","given":"Jan","email":"","affiliations":[],"preferred":false,"id":538748,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Meschede, Martin","contributorId":18269,"corporation":false,"usgs":false,"family":"Meschede","given":"Martin","email":"","affiliations":[],"preferred":false,"id":538749,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Petersen, Sven","contributorId":76586,"corporation":false,"usgs":false,"family":"Petersen","given":"Sven","email":"","affiliations":[],"preferred":false,"id":538751,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Thiede, Jorn","contributorId":88085,"corporation":false,"usgs":false,"family":"Thiede","given":"Jorn","email":"","affiliations":[],"preferred":false,"id":538750,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Hein, James R. 0000-0002-5321-899X jhein@usgs.gov","orcid":"https://orcid.org/0000-0002-5321-899X","contributorId":2828,"corporation":false,"usgs":true,"family":"Hein","given":"James","email":"jhein@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":518093,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70192450,"text":"70192450 - 2016 - Soil mercury distribution in adjacent coniferous and deciduous stands highly impacted by acid rain in the Ore Mountains, Czech Republic","interactions":[],"lastModifiedDate":"2017-10-25T18:12:38","indexId":"70192450","displayToPublicDate":"2016-01-01T00:00:00","publicationYear":"2016","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Soil mercury distribution in adjacent coniferous and deciduous stands highly impacted by acid rain in the Ore Mountains, Czech Republic","docAbstract":"Forests play a primary role in the cycling and storage of mercury (Hg) in terrestrial ecosystems. This study aimed to assess differences in Hg cycling and storage resulting from different vegetation at two adjacent forest stands - beech and spruce. The study site Načetín in the Czech Republic's Black Triangle received high atmospheric loadings of Hg from coal combustion in the second half of the 20th century as documented by peat accumulation rates reaching 100 μg m−2 y−1. In 2004, the annual litterfall Hg flux was 22.5 μg m−2 y−1 in the beech stand and 14.5 μg m−2 y−1 in the spruce stand. Soil concentrations and pools of Hg had a strong positive relation to soil organic matter and concentrations of soil sulfur (S) and nitrogen (N). O-horizon Hg concentrations ranged from 245 to 495 μg kg−1 and were greater in the spruce stand soil, probably as a result of greater dry Hg deposition. Mineral soil Hg concentrations ranged from 51 to 163 μg kg−1 and were greater in the beech stand soil due to its greater capacity to store organic carbon (C). The Hg/C ratio increased with depth from 0.3 in the O-horizon to 3.8 μg g−1 in the C horizon of spruce soil and from 0.7 to 2.7 μg g−1 in beech soil. The Hg/C ratio was greater at all mineral soil depths in the spruce stand. The organic soil Hg pools in beech and spruce stands (6.4 and 5.7 mg m−2, respectively) were considerably lower than corresponding mineral soil Hg pools (39.1 and 25.8 mg m−2). Despite the important role of S in Hg cycling, differences in soil Hg distribution at both stands could not be attributed to differences in soil sulfur speciation.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2016.10.005","usgsCitation":"Navrátil, T., Shanley, J.B., Rohovec, J., Oulehle, F., Simecek, M., Houska, J., and Cudlin, P., 2016, Soil mercury distribution in adjacent coniferous and deciduous stands highly impacted by acid rain in the Ore Mountains, Czech Republic: Applied Geochemistry, v. 75, p. 63-75, https://doi.org/10.1016/j.apgeochem.2016.10.005.","productDescription":"13 p.","startPage":"63","endPage":"75","ipdsId":"IP-079376","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":347423,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Czech Republic","otherGeospatial":"Ore Mountains","volume":"75","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f1a2a7e4b0220bbd9d9f80","contributors":{"authors":[{"text":"Navrátil, Tomáš","contributorId":149720,"corporation":false,"usgs":false,"family":"Navrátil","given":"Tomáš","affiliations":[{"id":17790,"text":"Czech Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":715898,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shanley, James B. 0000-0002-4234-3437 jshanley@usgs.gov","orcid":"https://orcid.org/0000-0002-4234-3437","contributorId":1953,"corporation":false,"usgs":true,"family":"Shanley","given":"James","email":"jshanley@usgs.gov","middleInitial":"B.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":405,"text":"NH/VT office of New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":715897,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rohovec, Jan","contributorId":149721,"corporation":false,"usgs":false,"family":"Rohovec","given":"Jan","email":"","affiliations":[{"id":17790,"text":"Czech Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":715899,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oulehle, Filip","contributorId":149722,"corporation":false,"usgs":false,"family":"Oulehle","given":"Filip","email":"","affiliations":[{"id":17791,"text":"Czech Geological Survey","active":true,"usgs":false}],"preferred":false,"id":715900,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Simecek, Martin","contributorId":198385,"corporation":false,"usgs":false,"family":"Simecek","given":"Martin","email":"","affiliations":[{"id":35216,"text":"Institute of Geology AS CR, v.v.i., Rozvojová 269, 165 00 Prague 6, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":715901,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Houska, Jakub","contributorId":198386,"corporation":false,"usgs":false,"family":"Houska","given":"Jakub","email":"","affiliations":[{"id":29875,"text":"Czech University of Life Sciences, Praha 6-Suchdol, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":715902,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cudlin, Pavel","contributorId":198387,"corporation":false,"usgs":false,"family":"Cudlin","given":"Pavel","email":"","affiliations":[{"id":35217,"text":"Global Change Research Centre of the AS CR, v.v.i., Poříčí 3b, 60 300 Brno, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":715903,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ]}