Mineral formation in the modern oceans can take place over millions of years as a result precipitation from ambient ocean water, or orders of magnitude more rapidly from hydrothermal activity related to magmatic and tectonic processes. Here, we review associations between transform faults and related fracture zones and marine minerals. We define marine transform faults as strike-slip or oblique faults that accommodate lateral offsets along plate boundaries or shifting crustal blocks, and fracture zones as relicts of transform faulting extending beyond mid-ocean ridge offsets. We consider specifically the modern ocean and exclude regions where the transform or fracture has clearly not generated the mineral deposit, such as the Clarion-Clipperton fracture zone manganese nodule field. As a result, the summarized deposits are mainly hydrothermal in origin.
Oceanic transform faulting has rarely been considered of interest for the mineralization and formation of ore deposits; however, there are locations in the modern oceans where transform faults and fracture zones are spatially related to mineral deposits. These occurrences suggest that transform faulting and fracture zones may be linked to mineralization at (A) intersections with other tectonic features, (B) where transform faults begin to resemble rifts through intra-transform crustal thinning, spreading, and the formation of pull-apart basins, and (C) as a result of serpentinization reactions due to exposure of deep-seated rocks by fracturing and faulting.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Transform plate boundaries and fracture zones","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-812064-4.00005-0","isbn":"978-0128120644","usgsCitation":"Gartman, A., and Hein, J.R., 2019, Mineralization at oceanic transform faults and fracture zones, chap. of Transform plate boundaries and fracture zones, p. 105-118, https://doi.org/10.1016/B978-0-12-812064-4.00005-0.","productDescription":"14 p.","startPage":"105","endPage":"118","ipdsId":"IP-091486","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":358216,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5bc02f68e4b0fc368eb53807","contributors":{"editors":[{"text":"Duarte, Joao C.","contributorId":208518,"corporation":false,"usgs":false,"family":"Duarte","given":"Joao","email":"","middleInitial":"C.","affiliations":[{"id":34002,"text":"University of Lisbon, Portugal","active":true,"usgs":false}],"preferred":false,"id":747531,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Gartman, Amy 0000-0001-9307-3062 agartman@usgs.gov","orcid":"https://orcid.org/0000-0001-9307-3062","contributorId":177057,"corporation":false,"usgs":true,"family":"Gartman","given":"Amy","email":"agartman@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":746683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hein, James R. 0000-0002-5321-899X jhein@usgs.gov","orcid":"https://orcid.org/0000-0002-5321-899X","contributorId":140835,"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":true,"id":746684,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70200424,"text":"70200424 - 2019 - Overview of the oxygen isotope systematics of land snails from North America","interactions":[],"lastModifiedDate":"2019-02-21T14:54:00","indexId":"70200424","displayToPublicDate":"2018-10-03T10:46:06","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3218,"text":"Quaternary Research","active":true,"publicationSubtype":{"id":10}},"title":"Overview of the oxygen isotope systematics of land snails from North America","docAbstract":"Continental paleoclimate proxies with near-global coverage are rare. Land snail δ18O is one of the few proxies abundant in Quaternary sediments ranging from the tropics to the high Arctic tundra. However, its application in paleoclimatology remains difficult, attributable in part to limitations in published calibration studies. Here we present shell δ18O of modern small (<10 mm) snails across North America, from Florida (30°N) to Manitoba (58°N), to examine the main climatic controls on shell δ18O at a coarse scale. This transect is augmented by published δ18O values, which expand our coverage from Jamaica (18°N) to Alaska (64°N). Results indicate that shell δ18O primarily tracks the average annual precipitation δ18O. Shell δ18O increases 0.5–0.7‰ for every 1‰ increase in precipitation δ18O, and 0.3–0.7‰ for every 1°C increase in temperature. These relationships hold true when all taxa are included regardless of body size (ranging from ~1.6 to ~58 mm), ecology (herbivores, omnivores, and carnivores), or behavior (variable seasonal active periods and mobility habits). Future isotopic investigations should include calibration studies in tropical and high-latitude settings, arid environments, and along altitudinal gradients to test if the near linear relationship between shell and meteoric precipitation δ18O observed on a continental scale remains significant.
","language":"English","publisher":"Cambridge University Press","doi":"10.1017/qua.2018.79","usgsCitation":"Yanes, Y., Al-Qattan, N.M., Rech, J.A., Pigati, J.S., Dodd, J.P., and Nekola, J.C., 2019, Overview of the oxygen isotope systematics of land snails from North America: Quaternary Research, v. 91, no. 1, p. 329-344, https://doi.org/10.1017/qua.2018.79.","productDescription":"16 p.","startPage":"329","endPage":"344","ipdsId":"IP-094692","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":358472,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","volume":"91","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-03","publicationStatus":"PW","scienceBaseUri":"5c10a92fe4b034bf6a7e505e","contributors":{"authors":[{"text":"Yanes, Yurena","contributorId":197219,"corporation":false,"usgs":false,"family":"Yanes","given":"Yurena","email":"","affiliations":[],"preferred":false,"id":748772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Al-Qattan, Nasser M.","contributorId":209766,"corporation":false,"usgs":false,"family":"Al-Qattan","given":"Nasser","email":"","middleInitial":"M.","affiliations":[{"id":16608,"text":"Miami University","active":true,"usgs":false}],"preferred":false,"id":748773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rech, Jason A.","contributorId":117323,"corporation":false,"usgs":false,"family":"Rech","given":"Jason","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":748774,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pigati, Jeffrey S. 0000-0001-5843-6219 jpigati@usgs.gov","orcid":"https://orcid.org/0000-0001-5843-6219","contributorId":201167,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffrey","email":"jpigati@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":748771,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dodd, Justin P.","contributorId":209767,"corporation":false,"usgs":false,"family":"Dodd","given":"Justin","email":"","middleInitial":"P.","affiliations":[{"id":13666,"text":"Northern Illinois University","active":true,"usgs":false}],"preferred":false,"id":748775,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nekola, Jeffrey C.","contributorId":26214,"corporation":false,"usgs":false,"family":"Nekola","given":"Jeffrey","email":"","middleInitial":"C.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":748776,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70204422,"text":"70204422 - 2019 - Importance of riparian forest corridors for the ocelot in agricultural landscapes","interactions":[],"lastModifiedDate":"2019-07-23T08:51:11","indexId":"70204422","displayToPublicDate":"2018-07-09T08:50:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Importance of riparian forest corridors for the ocelot in agricultural landscapes","docAbstract":"Worldwide, private lands have attracted increased attention from conservationists, not only because most of the globe is privately owned, but also because private lands can be an asset to the protected area conservation strategy. In Brazil, the riverine Areas of Permanent Protection (APPs) is a key instrument of the Forest Code to protect native vegetation on private lands. Although APPs were conceived to function as potential wildlife corridors, this putative role has been rarely assessed. Further, recent debatable changes in the Forest Code have decreased the extent of APPs. Given this lack of information and the declining area being protected along with the growing demand for agricultural and biofuel production, which stimulate additional deforestation, it is timely to assess the role of APPs in wildlife conservation. We did this analyzing how ocelot (Leopardus pardalis) occurrence is influenced by covariates in 3 cerrado landscapes dominated by sugarcane and managed forests of eucalyptus and pine trees. We collected detection/non-detection data by camera trapping during 2 dry seasons (2013 and 2014) at 208 stations (6606 camera-days). We estimated ocelot detection and mean relative abundance using a single-species/single-season occupancy model that accounts for heterogeneous detection probability induced by variation in abundance. Modeling results showed that percentage of native forest was the most important covariate to explain ocelot mean relative abundance. This parameter was also affected positively by APPs, with ocelots being more abundant inside than outside APPs and, unexpectedly, by sugarcane. Given study design, however, the positive effect of this crop likely reflects the contact zone between sugarcane and native forest. Our findings show that landscape composition affects ocelot abundance and highlight the importance of APPs and Legal Reserves in agricultural landscapes. We conclude that, in such landscapes, compliance to the Forest Code by private land owners is key to supporting ocelot occurrence.","language":"English","publisher":"Oxford Academic ","doi":"10.1093/jmammal/gyy075","usgsCitation":"Paolino, R., Royle, A., Versiani, N., Rodrigues, T.F., Pasqualotto, N., Krepschi, V., and Adriano Chiarello, 2019, Importance of riparian forest corridors for the ocelot in agricultural landscapes: Journal of Mammalogy, v. 99, no. 4, p. 874-884, https://doi.org/10.1093/jmammal/gyy075.","productDescription":"11 p.","startPage":"874","endPage":"884","ipdsId":"IP-092001","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":468120,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jmammal/gyy075","text":"Publisher Index Page"},{"id":365833,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365832,"type":{"id":15,"text":"Index Page"},"url":"https://academic.oup.com/jmammal/article-abstract/99/4/874/5050937"}],"volume":"99","issue":"4","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-07-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Paolino, Roberta","contributorId":217469,"corporation":false,"usgs":false,"family":"Paolino","given":"Roberta","email":"","affiliations":[{"id":38961,"text":"Universidade de São Paulo","active":true,"usgs":false}],"preferred":false,"id":766836,"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":766835,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Versiani, Natalia","contributorId":217470,"corporation":false,"usgs":false,"family":"Versiani","given":"Natalia","email":"","affiliations":[{"id":38961,"text":"Universidade de São Paulo","active":true,"usgs":false}],"preferred":false,"id":766837,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rodrigues, Thiago F.","contributorId":217471,"corporation":false,"usgs":false,"family":"Rodrigues","given":"Thiago","email":"","middleInitial":"F.","affiliations":[{"id":39648,"text":"Universidade Estadual Paulista (UNESP)","active":true,"usgs":false}],"preferred":false,"id":766838,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pasqualotto, Nielson","contributorId":217472,"corporation":false,"usgs":false,"family":"Pasqualotto","given":"Nielson","email":"","affiliations":[{"id":38961,"text":"Universidade de São Paulo","active":true,"usgs":false}],"preferred":false,"id":766839,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Krepschi, Victor","contributorId":217473,"corporation":false,"usgs":false,"family":"Krepschi","given":"Victor","email":"","affiliations":[{"id":38961,"text":"Universidade de São Paulo","active":true,"usgs":false}],"preferred":false,"id":766840,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Adriano Chiarello","contributorId":217474,"corporation":false,"usgs":false,"family":"Adriano Chiarello","affiliations":[{"id":38961,"text":"Universidade de São Paulo","active":true,"usgs":false}],"preferred":false,"id":766841,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70197371,"text":"70197371 - 2019 - Drivers and uncertainties of forecasted range shifts for warm-water fishes under climate and land cover change","interactions":[],"lastModifiedDate":"2019-03-04T11:28:08","indexId":"70197371","displayToPublicDate":"2018-05-31T00:00:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Drivers and uncertainties of forecasted range shifts for warm-water fishes under climate and land cover change","docAbstract":"Land cover is an important determinant of aquatic habitat and is projected to shift with climate changes, yet climate-driven land cover changes are rarely factored into climate assessments. To quantify impacts and uncertainty of coupled climate and land cover change on warm-water fish species’ distributions, we used an ensemble model approach to project distributions of 14 species. For each species, current range projections were compared to 27 scenario-based projections and aggregated to visualize uncertainty. Multiple regression and model selection techniques were used to identify drivers of range change. Novel, or no-analogue, climates were assessed to evaluate transferability of models. Changes in total probability of occurrence ranged widely across species, from a 63% increase to a 65% decrease. Distributional gains and losses were largely driven by temperature and flow variables and underscore the importance of habitat heterogeneity and connectivity to facilitate adaptation to changing conditions. Finally, novel climate conditions were driven by mean annual maximum temperature, which stresses the importance of understanding the role of temperature on fish physiology and the role of temperature-mitigating management practices.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2018-0002","usgsCitation":"Bouska, K.L., Whitledge, G.W., Lant, C., and Schoof, J., 2019, Drivers and uncertainties of forecasted range shifts for warm-water fishes under climate and land cover change: Canadian Journal of Fisheries and Aquatic Sciences, v. 76, no. 3, p. 415-425, https://doi.org/10.1139/cjfas-2018-0002.","productDescription":"11 p.","startPage":"415","endPage":"425","ipdsId":"IP-093466","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":468124,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://www.nrcresearchpress.com/doi/abs/10.1139/cjfas-2018-0002","text":"External Repository"},{"id":354616,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"76","issue":"3","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b155d72e4b092d9651e1af6","contributors":{"authors":[{"text":"Bouska, Kristen L. 0000-0002-4115-2313 kbouska@usgs.gov","orcid":"https://orcid.org/0000-0002-4115-2313","contributorId":178005,"corporation":false,"usgs":true,"family":"Bouska","given":"Kristen","email":"kbouska@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":736888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Whitledge, Gregory W.","contributorId":73110,"corporation":false,"usgs":true,"family":"Whitledge","given":"Gregory","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":736889,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lant, Christopher","contributorId":205317,"corporation":false,"usgs":false,"family":"Lant","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":736890,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schoof, Justin","contributorId":205318,"corporation":false,"usgs":false,"family":"Schoof","given":"Justin","email":"","affiliations":[],"preferred":false,"id":736891,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70197363,"text":"70197363 - 2019 - Post-fire redistribution of soil carbon and nitrogen at a grassland-shrubland ecotone","interactions":[],"lastModifiedDate":"2019-02-21T14:59:36","indexId":"70197363","displayToPublicDate":"2018-05-31T00:00:00","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1478,"text":"Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Post-fire redistribution of soil carbon and nitrogen at a grassland-shrubland ecotone","docAbstract":"The rapid conversion of grasslands into shrublands has been observed in many arid and semiarid regions worldwide. Studies have shown that fire can provide certain forms of reversibility for shrub-grass transition due to resource homogenization and shrub mortality, especially in the early stages of shrub encroachment. Field-level post-fire soil resource redistribution has rarely been tested. Here we used prescribed fire in a shrubland-grassland transition zone in the northern Chihuahuan Desert to test the hypothesis that fire facilitates the remobilization of nutrient-enriched soil from shrub microsites to grass and bare microsites and thereby reduces the spatial heterogeneity of soil resources. Results show that the shrub microsites had the lowest water content compared to grass and bare microsites after fire, even when rain events occurred. Significant differences of total soil carbon (TC) and total soil nitrogen (TN) among the three microsites disappeared one year after the fire. The spatial autocorrelation distance increased from 1~2 m, approximately the mean size of an individual shrub canopy, to over 5 m one year after the fire for TC and TN. Patches of high soil C and N decomposed one year after the prescribed fire. Overall, fire stimulates the transfer of soil C and N from shrub microsites to nutrient-depleted grass and bare microsites. Such a redistribution of soil C and N, coupled with the reduced soil water content under the shrub canopies, suggests that fire might influence the competition between shrubs and grasses, leading to a higher grass, compared to shrub, coverage in this ecotone.","language":"English","publisher":"Springer","doi":"10.1007/s10021-018-0260-2","usgsCitation":"Wang, G., Li, J., Ravi, S., Dukes, D., Gonzales, H.B., and Sankey, J.B., 2019, Post-fire redistribution of soil carbon and nitrogen at a grassland-shrubland ecotone: Ecosystems, v. 22, no. 1, p. 174-188, https://doi.org/10.1007/s10021-018-0260-2.","productDescription":"15 p.","startPage":"174","endPage":"188","ipdsId":"IP-091417","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":354651,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"Arizona, Chihuahua, New Mexico, 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Geosciences, University of Tulsa","active":true,"usgs":false}],"preferred":false,"id":736872,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ravi, Sujith","contributorId":202738,"corporation":false,"usgs":false,"family":"Ravi","given":"Sujith","email":"","affiliations":[{"id":36520,"text":"Department of Earth and Environmental Science, Temple University","active":true,"usgs":false}],"preferred":false,"id":736873,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dukes, David","contributorId":202736,"corporation":false,"usgs":false,"family":"Dukes","given":"David","email":"","affiliations":[{"id":36520,"text":"Department of Earth and Environmental Science, Temple University","active":true,"usgs":false}],"preferred":false,"id":736874,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gonzales, Howell B.","contributorId":202737,"corporation":false,"usgs":false,"family":"Gonzales","given":"Howell","email":"","middleInitial":"B.","affiliations":[{"id":36520,"text":"Department of Earth and Environmental Science, Temple University","active":true,"usgs":false}],"preferred":false,"id":736875,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":736870,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70198751,"text":"70198751 - 2019 - Using spatially‐explicit capture–recapture models to explain variation in seasonal density patterns of sympatric ursids","interactions":[],"lastModifiedDate":"2019-02-11T15:14:09","indexId":"70198751","displayToPublicDate":"2018-05-08T15:54:08","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"Using spatially‐explicit capture–recapture models to explain variation in seasonal density patterns of sympatric ursids","docAbstract":"Understanding how environmental factors interact to determine the abundance and distribution of animals is a primary goal of ecology, and fundamental to the conservation of wildlife populations. Studies of these relationships, however, often assume static environmental conditions, and rarely consider effects of competition with ecologically similar species. In many parts of their shared ranges, grizzly bears Ursus arctos and American black bears U. americanus have nearly complete dietary overlap and share similar life history traits. We therefore tested the hypothesis that density patterns of both bear species would reflect seasonal variation in available resources, with areas of higher primary productivity supporting higher densities of both species. We also hypothesized that interspecific competition would influence seasonal density patterns. Specifically, we predicted that grizzly bear density would be locally reduced due to the ability of black bears to more efficiently exploit patchy food resources such as seasonally abundant fruits. To test our hypotheses, we used detections of 309 grizzly and 597 black bears from two independent genetic sampling methods in spatially‐explicit capture–recapture (SECR) models. Our results suggest grizzly bear density was lower in areas of high black bear density during spring and summer, although intraspecific densities were also important, particularly during the breeding season. Black bears had lower densities in areas of high grizzly bear density in spring; however, density of black bears in early and late summer was best explained by primary productivity. Our results are consistent with the hypothesis that smaller‐bodied, more abundant black bears may influence the density patterns of behaviorally‐dominant grizzly bears through exploitative competition. We also suggest that seasonal variation in resource availability be considered in efforts to relate environmental conditions to animal density.
","language":"English","publisher":"Wiley","doi":"10.1111/ecog.03556","usgsCitation":"Stetz, J.B., Mitchell, M.S., and Kendall, K.C., 2019, Using spatially‐explicit capture–recapture models to explain variation in seasonal density patterns of sympatric ursids: Ecography, v. 42, no. 2, p. 237-248, https://doi.org/10.1111/ecog.03556.","productDescription":"12 p.","startPage":"237","endPage":"248","ipdsId":"IP-089876","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":356779,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Glacier National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.7576904296875,\n 47.98072994347796\n ],\n [\n -113.038330078125,\n 47.98072994347796\n ],\n [\n -113.038330078125,\n 48.996438064932285\n ],\n [\n -114.7576904296875,\n 48.996438064932285\n ],\n [\n -114.7576904296875,\n 47.98072994347796\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"42","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2018-06-25","publicationStatus":"PW","scienceBaseUri":"5b98a2c6e4b0702d0e842fe4","contributors":{"authors":[{"text":"Stetz, Jeffrey B.","contributorId":15493,"corporation":false,"usgs":true,"family":"Stetz","given":"Jeffrey","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":743542,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mitchell, Michael S. 0000-0002-0773-6905 mmitchel@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-6905","contributorId":3716,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"mmitchel@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":742846,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kendall, Katherine C. 0000-0002-4831-2287 kkendall@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-2287","contributorId":3081,"corporation":false,"usgs":true,"family":"Kendall","given":"Katherine","email":"kkendall@usgs.gov","middleInitial":"C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":742847,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70203215,"text":"70203215 - 2019 - Monitoring and conservation of Japanese Murrelets and related seabirds in Japan","interactions":[],"lastModifiedDate":"2019-06-25T13:57:21","indexId":"70203215","displayToPublicDate":"2017-12-30T13:54:24","publicationYear":"2019","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Monitoring and conservation of Japanese Murrelets and related seabirds in Japan","docAbstract":"Of the 24 species in the Auk (or Alcidae) family of seabirds living in the northern hemisphere, 22 reside within the North Pacific Ocean. These “penguins of the north” use their small wings to “fly” underwater, some to more than 200 meters, where they catch and eat a variety of small fish and invertebrates. In terms of sheer numbers (>65 million) and food consumption, the Auks dominate seabird communities on our continental shelves and they serve as indicators of the health of our ocean. If Auk populations are not all thriving, then we should be concerned about the status of the oceans, plankton and fish that normally sustain them. A few Auk “tribes” genera) are abundant and widespread (such as Uria murres and Aethia auklets), and some are rare and isolated such as Synthliboramphus murrelets, including the Japanese “Crested” Murrelet). Only 8 species of Auk breed in Japan, including species that have either widespread or isolated populations in the North Pacific. During the past century, most of these Auks have declined dramatically in Japan from many causes, including the introduction of predatory rats and cats to breeding islands, bycatch in fishing nets, alteration of food supplies by fishing and climate change, oil spills, and destruction of seabird nesting habitats. Widespread species such as the Common Murre and Tufted Puffin were once common in Japan but now breed in low numbers at only a few locations. Probably common in the past, small numbers of the widespread Ancient Murrelet were recently re-discovered breeding at Teuri Island, which is also home to the world’s largest colony of Rhinoceros Auklet, another widespread species. Though common throughout the North Pacific, Pigeon Guillemots, breed only in the southern Kuril Islands. Their population status is unknown, but they were never considered common in Japan. In contrast, Spectacled Guillemots are an example of an uncommon and isolated population of Auk. They nest along coasts of the Sea of Okhotsk and Sea of Japan, and populations have declined in recent decades. The Long-billed Murrelet has a similar distribution to Spectacled Guillemot, and once bred in Hokkaido, but populations appear to have been extirpated. The Japanese Murrelet has a very small world population, and breeds at only a few locations in southern Japan and the Republic of Korea. The international community of research and conservation biologists is greatly concerned about the ability of this species—probably the rarest of all Auks in the world— to maintain its population size. Owing to its small size and high metabolic demand, this species is especially vulnerable to any stress that increases its food requirements such as changing fish stocks, disturbance on feeding or wintering grounds, or changing ocean climate. Immediate management actions are needed to preserve Japanese Murrelets and other Auks in Japan, by such means as eradicating rats and cats on breeding islands, altering fishing gear to minimize bycatch, and reducing human disturbance to nesting habitats. More research and monitoring of Auk populations in Japan is needed to track population trends, and further identify factors responsible for declines. Interaction between governments and biologists at regional and international levels will be mutually beneficial as we all strive to conserve precious resources and biodiversity in the northwest Pacific, and particularly the Japanese islands.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Status and Monitoring of Rare and Threatened Japanese Crested Murrelet","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Marine Bird Restoration Group","usgsCitation":"Piatt, J.F., Nelson, S., and Carter, H.R., 2019, Monitoring and conservation of Japanese Murrelets and related seabirds in Japan, in Status and Monitoring of Rare and Threatened Japanese Crested Murrelet, p. 33-42.","startPage":"33","endPage":"42","ipdsId":"IP-090741","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":365028,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":365027,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://marinebird-restorationgroup.jimdo.com/app/download/11136230791/4_p33-42_Piatt.pdf?t=1510725322"}],"publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Piatt, John F. 0000-0002-4417-5748 jpiatt@usgs.gov","orcid":"https://orcid.org/0000-0002-4417-5748","contributorId":3025,"corporation":false,"usgs":true,"family":"Piatt","given":"John","email":"jpiatt@usgs.gov","middleInitial":"F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":761700,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nelson, S Kim","contributorId":205442,"corporation":false,"usgs":false,"family":"Nelson","given":"S Kim","affiliations":[{"id":37105,"text":"Oregon State Unversity","active":true,"usgs":false}],"preferred":false,"id":765061,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carter, Harry R.","contributorId":216125,"corporation":false,"usgs":false,"family":"Carter","given":"Harry","email":"","middleInitial":"R.","affiliations":[{"id":39369,"text":"Carter Biological Consulting","active":true,"usgs":false}],"preferred":false,"id":765062,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70227758,"text":"70227758 - 2019 - Remaining populations of an upland stream fish persist in refugia defined by habitat features at multiple scales","interactions":[],"lastModifiedDate":"2022-01-28T13:29:15.856931","indexId":"70227758","displayToPublicDate":"2017-12-07T07:27:14","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Remaining populations of an upland stream fish persist in refugia defined by habitat features at multiple scales","docAbstract":"Conserving stream biota could require strategies that preserve habitats conveying resistance to ecological impacts of changing land use and climate. Retrospective analyses of species’ responses to anthropogenic disturbances can inform such strategies. We developed a hierarchical framework to contrast environmental conditions underlying persistence versus extirpation of an imperilled stream fish, Candy Darter (Etheostoma osburni), over decades of changing land use. The decline of E. osburni may broadly represent the challenge of conserving sensitive freshwater species in intensively used upland environments.
New River drainage, Appalachian Mountains, USA.
We surveyed fish and habitat in historically occupied sites to identify population refugia, and used multivariate and spatial analyses to address three questions: (a) what are the environmental correlates of refugia? (b) are the pathways by which land use impacts instream habitat constrained by catchment- and/or segment-scale features? and (c) are E. osburni distributional dynamics spatially structured and explained by fine sediment and warm stream temperatures?
We confirmed a recently localized distribution similar to other upland species, marked by at least seven extirpations from streams throughout E. osburni's southern range. Catchment-scale features primarily constrained land use and finer-scale habitat, leading to either extirpations or population-supporting refugia defined by features at multiple scales. Refugium habitats contained cooler temperatures and less fine sediment. Rare mismatches between persistence and habitat suitability were explained by network location, suggesting unmeasured environmental gradients and/or dispersal contributed to distributional dynamics.
We provided insight at multiple spatial scales into how aquatic species’ distributions become fragmented and localized. Our results demonstrate that natural landscape heterogeneity imparts spatially variable resistance of sensitive species to intensive land uses. By recognizing the scale-specific features that buffer populations from extirpation, conservation strategies could be tailored to protect naturally occurring refugium habitats and focus restoration in systems where such habitats are broadly lacking.
","language":"English","publisher":"Wiley","doi":"10.1111/ddi.12866","usgsCitation":"Dunn, C., and Angermeier, P.L., 2019, Remaining populations of an upland stream fish persist in refugia defined by habitat features at multiple scales: Diversity and Distributions, v. 25, no. 3, p. 385-399, https://doi.org/10.1111/ddi.12866.","productDescription":"15 p.","startPage":"385","endPage":"399","ipdsId":"IP-090855","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":468135,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ddi.12866","text":"Publisher Index Page"},{"id":395042,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia, West Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.123046875,\n 37.28279464911045\n ],\n [\n -78.20068359374999,\n 37.28279464911045\n ],\n [\n -78.20068359374999,\n 39.757879992021756\n ],\n [\n -81.123046875,\n 39.757879992021756\n ],\n [\n -81.123046875,\n 37.28279464911045\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"25","issue":"3","noUsgsAuthors":false,"publicationDate":"2018-12-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Dunn, Corey G.","contributorId":272531,"corporation":false,"usgs":false,"family":"Dunn","given":"Corey G.","affiliations":[{"id":36967,"text":"Virginia Tech University","active":true,"usgs":false}],"preferred":false,"id":832056,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Angermeier, Paul L. 0000-0003-2864-170X biota@usgs.gov","orcid":"https://orcid.org/0000-0003-2864-170X","contributorId":166679,"corporation":false,"usgs":true,"family":"Angermeier","given":"Paul","email":"biota@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":832055,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70203665,"text":"70203665 - 2019 - Spatial autoregressive models for statistical inference from ecological data","interactions":[],"lastModifiedDate":"2019-05-30T15:18:06","indexId":"70203665","displayToPublicDate":"2017-11-13T15:15:47","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1459,"text":"Ecological Monographs","active":true,"publicationSubtype":{"id":10}},"title":"Spatial autoregressive models for statistical inference from ecological data","docAbstract":"Ecological data often exhibit spatial pattern, which can be modeled as autocorrelation. Conditional autoregressive (CAR) and simultaneous autoregressive (SAR) models are network‐based models (also known as graphical models) specifically designed to model spatially autocorrelated data based on neighborhood relationships. We identify and discuss six different types of practical ecological inference using CAR and SAR models, including: (1) model selection, (2) spatial regression, (3) estimation of autocorrelation, (4) estimation of other connectivity parameters, (5) spatial prediction, and (6) spatial smoothing. We compare CAR and SAR models, showing their development and connection to partial correlations. Special cases, such as the intrinsic autoregressive model (IAR), are described. Conditional autoregressive and SAR models depend on weight matrices, whose practical development uses neighborhood definition and row‐standardization. Weight matrices can also include ecological covariates and connectivity structures, which we emphasize, but have been rarely used. Trends in harbor seals (Phoca vitulina) in southeastern Alaska from 463 polygons, some with missing data, are used to illustrate the six inference types. We develop a variety of weight matrices and CAR and SAR spatial regression models are fit using maximum likelihood and Bayesian methods. Profile likelihood graphs illustrate inference for covariance parameters. The same data set is used for both prediction and smoothing, and the relative merits of each are discussed. We show the nonstationary variances and correlations of a CAR model and demonstrate the effect of row‐standardization. We include several take‐home messages for CAR and SAR models, including (1) choosing between CAR and IAR models, (2) modeling ecological effects in the covariance matrix, (3) the appeal of spatial smoothing, and (4) how to handle isolated neighbors. We highlight several reasons why ecologists will want to make use of autoregressive models, both directly and in hierarchical models, and not only in explicit spatial settings, but also for more general connectivity models.
Proxy species, which represent suites of organisms with similar habitat requirements, are common in conservation. Landscape Capability (LC) models aim to quantify the spatially-explicit capability of landscapes to support proxy species that represent suites of forest birds.
We evaluated the North Atlantic Landscape Conservation Cooperative (NALCC) proxy models of LC and represented species framework across 13 states in the northeastern United States from Virginia to Maine. We validated a suite of questions related to co-occurrence of proxy and represented species with a compilation of independent datasets.
We tested proxy species LC models ability to explain represented species’ occurrences, including using multiple proxies together, and benchmarked against empirical data and land cover type classifications. We tested effect of several factors on predictive ability including relative range overlap and ecological and taxonomic dissimilarity between proxy and represented species.
LC models performed variably, but represented species occurrences were rarely predicted as accurately as proxy species. Models improved predictions over macrohabitat classifications. Using multiple proxies together occasionally improved predictions of represented species. Considerable range overlap was needed for models to be predictive of represented species. Ecological and taxonomic similarity had no effect on predictive ability. LC models worked similarly to using empirical observations, suggesting shortcomings were because of imperfect surrogacy.
Conservation proxies as representatives of species groups that are associated with macrohabitats are useful, but empirical data are necessary to evaluate proxy species’ effectiveness. Habitat-based models can provide similar predictive ability as empirical observations of proxies and represent a useful tool in conservation planning.
Sediment pulses can cause widespread, complex changes to rivers and coastal regions. Quantifying landscape response to sediment-supply changes is a long-standing problem in geomorphology, but the unanticipated nature of most sediment pulses rarely allows for detailed measurement of associated landscape processes and evolution. The intentional removal of two large dams on the Elwha River (Washington, USA) exposed ~30 Mt of impounded sediment to fluvial erosion, presenting a unique opportunity to quantify source-to-sink river and coastal responses to a massive sediment-source perturbation. Here we evaluate geomorphic evolution during and after the sediment pulse, presenting a 5-year sediment budget and morphodynamic analysis of the Elwha River and its delta. Approximately 65% of the sediment was eroded, of which only ~10% was deposited in the fluvial system. This restored fluvial supply of sand, gravel, and wood substantially changed the channel morphology. The remaining ~90% of the released sediment was transported to the coast, causing ~60 ha of delta growth. Although metrics of geomorphic change did not follow simple time-coherent paths, many signals peaked 1–2 years after the start of dam removal, indicating combined impulse and step-change disturbance responses.
","language":"English","publisher":"Springer Nature","doi":"10.1038/s41598-018-30817-8","usgsCitation":"Ritchie, A.C., Warrick, J.A., East, A.E., Magirl, C.S., Stevens, A.W., Bountry, J.A., Randle, T.J., Curran, C.A., Hilldale, R.C., Duda, J.J., Miller, I.M., Pess, G.R., Eidam, E., Foley, M.M., McCoy, R., and Ogston, A.S., 2018, Morphodynamic evolution following sediment release from the world’s largest dam removal: Scientific Reports, v. 8, 13279, 13 p., https://doi.org/10.1038/s41598-018-30817-8.","productDescription":"13279, 13 p.","ipdsId":"IP-093205","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":468150,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-018-30817-8","text":"Publisher Index Page"},{"id":366979,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Elwha Dam, Elwha River, Olympic National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.61679077148438,\n 47.96050238891509\n ],\n [\n -123.61679077148438,\n 48.15600899174947\n ],\n [\n -123.475341796875,\n 48.15600899174947\n ],\n [\n -123.475341796875,\n 47.96050238891509\n ],\n [\n -123.61679077148438,\n 47.96050238891509\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","noUsgsAuthors":false,"publicationDate":"2018-09-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Ritchie, Andrew C. aritchie@usgs.gov","contributorId":4984,"corporation":false,"usgs":true,"family":"Ritchie","given":"Andrew","email":"aritchie@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":769402,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":167736,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan","email":"jwarrick@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":769403,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"East, Amy E. 0000-0002-9567-9460 aeast@usgs.gov","orcid":"https://orcid.org/0000-0002-9567-9460","contributorId":196364,"corporation":false,"usgs":true,"family":"East","given":"Amy","email":"aeast@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":769404,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Magirl, Christopher S. 0000-0002-9922-6549 magirl@usgs.gov","orcid":"https://orcid.org/0000-0002-9922-6549","contributorId":1822,"corporation":false,"usgs":true,"family":"Magirl","given":"Christopher","email":"magirl@usgs.gov","middleInitial":"S.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":769405,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stevens, Andrew W. 0000-0003-2334-129X astevens@usgs.gov","orcid":"https://orcid.org/0000-0003-2334-129X","contributorId":139313,"corporation":false,"usgs":true,"family":"Stevens","given":"Andrew","email":"astevens@usgs.gov","middleInitial":"W.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":769406,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bountry, Jennifer A.","contributorId":30114,"corporation":false,"usgs":false,"family":"Bountry","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":769407,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Randle, Timothy J.","contributorId":90994,"corporation":false,"usgs":false,"family":"Randle","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":769408,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Curran, Christopher A. 0000-0001-8933-416X ccurran@usgs.gov","orcid":"https://orcid.org/0000-0001-8933-416X","contributorId":1650,"corporation":false,"usgs":true,"family":"Curran","given":"Christopher","email":"ccurran@usgs.gov","middleInitial":"A.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":769409,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hilldale, Robert C.","contributorId":139315,"corporation":false,"usgs":false,"family":"Hilldale","given":"Robert","email":"","middleInitial":"C.","affiliations":[{"id":6736,"text":"Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":769410,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Duda, Jeffrey J. 0000-0001-7431-8634 jduda@usgs.gov","orcid":"https://orcid.org/0000-0001-7431-8634","contributorId":148954,"corporation":false,"usgs":true,"family":"Duda","given":"Jeffrey","email":"jduda@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":772301,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Miller, Ian M. 0000-0002-3289-6337","orcid":"https://orcid.org/0000-0002-3289-6337","contributorId":41951,"corporation":false,"usgs":false,"family":"Miller","given":"Ian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":769412,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Pess, George R.","contributorId":13501,"corporation":false,"usgs":false,"family":"Pess","given":"George","email":"","middleInitial":"R.","affiliations":[{"id":6578,"text":"National Marine Fisheries Service, Seattle, WA 98112, USA","active":true,"usgs":false}],"preferred":false,"id":769413,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Eidam, Emily","contributorId":139311,"corporation":false,"usgs":false,"family":"Eidam","given":"Emily","email":"","affiliations":[{"id":12729,"text":"UW","active":true,"usgs":false}],"preferred":false,"id":769414,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Foley, Melissa M. 0000-0002-5832-6404 mfoley@usgs.gov","orcid":"https://orcid.org/0000-0002-5832-6404","contributorId":4861,"corporation":false,"usgs":true,"family":"Foley","given":"Melissa","email":"mfoley@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":769415,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"McCoy, Randall","contributorId":194430,"corporation":false,"usgs":false,"family":"McCoy","given":"Randall","affiliations":[],"preferred":false,"id":769416,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Ogston, Andrea S.","contributorId":12119,"corporation":false,"usgs":true,"family":"Ogston","given":"Andrea","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":769417,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70201743,"text":"70201743 - 2018 - Time-dependent pore filling","interactions":[],"lastModifiedDate":"2019-02-11T14:38:39","indexId":"70201743","displayToPublicDate":"2019-01-28T14:39:27","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Time-dependent pore filling","docAbstract":"Capillarity traps fluids in porous media during immiscible fluid displacement. Most field situations involve relatively long time scales, such as hydrocarbon migration into reservoirs, resource recovery, nonaqueous phase liquid remediation, geological CO2 storage, and sediment‐atmosphere interactions. Yet laboratory studies and numerical simulations of capillary phenomena rarely consider the impact of time on these processes. We use time‐lapse microphotography to record the evolution of saturation in air‐ or hydrocarbon‐filled capillary tubes submerged in water to investigate long‐term pore filling phenomena beyond imbibition. Microphotographic sequences capture a lively pore filling history where various concurrent physical phenomena coexist. Dissolution and diffusion play a central role. Observations indicate preferential transport of the wetting liquid along corners, vapor condensation, capillary flow induced by asymmetrical interfaces, and interface pinning that defines the diffusion length. Other processes include internal snap‐offs, fluid redistribution, and changes in wettability as fluids dissolve into each other. Overall, the rate of pore filling is diffusion‐controlled for a given interfacial configuration; diffusive transport takes place at a constant rate for pinned interfaces and is proportional to the square root of time for free interfaces where the diffusion length increases with time.
","language":"English","publisher":"AGU","doi":"10.1029/2018WR023066","usgsCitation":"Sun, Z., Jang, J., and Santamarina, J.C., 2018, Time-dependent pore filling: Water Resources Research, v. 54, no. 12, p. 10242-10253, https://doi.org/10.1029/2018WR023066.","productDescription":"12 p.","startPage":"10242","endPage":"10253","ipdsId":"IP-087788","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468153,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018wr023066","text":"Publisher Index Page"},{"id":360762,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"54","issue":"12","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-26","publicationStatus":"PW","scienceBaseUri":"5c5022c0e4b0708288f7e7c5","contributors":{"authors":[{"text":"Sun, Zhonghao","contributorId":211899,"corporation":false,"usgs":false,"family":"Sun","given":"Zhonghao","email":"","affiliations":[],"preferred":false,"id":755163,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jang, Junbong 0000-0001-5500-7558 jjang@usgs.gov","orcid":"https://orcid.org/0000-0001-5500-7558","contributorId":189400,"corporation":false,"usgs":true,"family":"Jang","given":"Junbong","email":"jjang@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":755164,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Santamarina, J. Carlos","contributorId":189401,"corporation":false,"usgs":false,"family":"Santamarina","given":"J.","email":"","middleInitial":"Carlos","affiliations":[],"preferred":false,"id":755165,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70202690,"text":"70202690 - 2018 - Improving ecological restoration to curb biotic invasion - A practical guide","interactions":[],"lastModifiedDate":"2019-03-18T16:19:44","indexId":"70202690","displayToPublicDate":"2019-01-04T16:19:38","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2100,"text":"Invasive Plant Science and Management","active":true,"publicationSubtype":{"id":10}},"title":"Improving ecological restoration to curb biotic invasion - A practical guide","docAbstract":"Common practices for invasive species control and management include physical, chemical, and biological approaches. The first two approaches have clear limitations and may lead to unintended (negative) consequences, unless carefully planned and implemented. For example, physical removal rarely completely eradicates the targeted invasive species and can cause disturbances that facilitate new invasions by nonnative species from nearby habitats. Chemical treatments can harm native, and especially rare, species through unanticipated side effects. Biological methods may be classified as biocontrol and the ecological approach. Similar to physical and chemical methods, biocontrol also has limitations and sometimes leads to unintended consequences. Therefore, a relatively safer and more practical choice may be the ecological approach, which has two major components: (1) restoration of native species and (2) biomass manipulation of the restored community, such as selective grazing or prescribed burning (to achieve and maintain viable population sizes). Restoration requires well-planned and implemented planting designs that consider alpha-, beta-, and gamma-diversity and the abundance of native and invasive component species at local, landscape, and regional levels. Given the extensive destruction or degradation of natural habitats around the world, restoration could be most effective for enhancing ecosystem resilience and resistance to biotic invasions. At the same time, ecosystems in human-dominated landscapes, especially those newly restored, require close monitoring and careful intervention (e.g., through biomass manipulation), especially when successional trajectories are not moving as intended. Biomass management frequently uses prescribed burning, grazing, harvesting, and thinning to maintain overall ecosystem health and sustainability. Thus, the resulting optimal, balanced, and relatively stable ecological conditions could more effectively limit the spread and establishment of invasive species. Here we review the literature (especially within the last decade) on ecological approaches that involve biodiversity, biomass, and productivity, three key community/ecosystem variables that reciprocally influence one another. We focus on the common and most feasible ecological practices that can aid in resisting new invasions and/or suppressing the dominance of existing invasive species. We contend that, because of the strong influences from neighboring areas (i.e., as exotic species pools), local restoration and management efforts in the future need to consider the regional context and projected climate changes.
","language":"English","publisher":"Cambridge University Press","doi":"10.1017/inp.2018.29","usgsCitation":"Guo, Q., Brockway, D.G., Larson, D.L., Wang, D., and Ren, H., 2018, Improving ecological restoration to curb biotic invasion - A practical guide: Invasive Plant Science and Management, v. 11, no. 4, p. 163-174, https://doi.org/10.1017/inp.2018.29.","productDescription":"12 p.","startPage":"163","endPage":"174","ipdsId":"IP-097426","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":468155,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/inp.2018.29","text":"Publisher Index Page"},{"id":362157,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"4","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Guo, Qinfeng","contributorId":214263,"corporation":false,"usgs":false,"family":"Guo","given":"Qinfeng","email":"","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":759492,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brockway, Dale G.","contributorId":214264,"corporation":false,"usgs":false,"family":"Brockway","given":"Dale","email":"","middleInitial":"G.","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":759493,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Larson, Diane L. 0000-0001-5202-0634 dlarson@usgs.gov","orcid":"https://orcid.org/0000-0001-5202-0634","contributorId":2120,"corporation":false,"usgs":true,"family":"Larson","given":"Diane","email":"dlarson@usgs.gov","middleInitial":"L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":759491,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, Deli","contributorId":214265,"corporation":false,"usgs":false,"family":"Wang","given":"Deli","email":"","affiliations":[{"id":39004,"text":"Northeast Normal University","active":true,"usgs":false}],"preferred":false,"id":759494,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ren, Hai","contributorId":214266,"corporation":false,"usgs":false,"family":"Ren","given":"Hai","email":"","affiliations":[{"id":32415,"text":"Chinese Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":759495,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70208483,"text":"70208483 - 2018 - Opportunities to enhance seismic demand parameters for future editions of the AS1170.4","interactions":[],"lastModifiedDate":"2020-02-12T07:00:44","indexId":"70208483","displayToPublicDate":"2018-12-31T06:59:56","publicationYear":"2018","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Opportunities to enhance seismic demand parameters for future editions of the AS1170.4","docAbstract":"Geoscience Australia has recently released its 2018 National Seismic Hazard Assessment (NSHA18). Results from the NSHA18 indicate significantly lower seismic hazard across almost all Australian localities at the 1/500 annual exceedance probability level relative to the factors adopted for the current Australian Standard AS1170.4–2007 (R2018). These new hazard estimates, coupled with larger probability factors (kp) for long return periods, have challenged notions of seismic hazard in Australia in terms of the recurrence of damaging ground motions. As a consequence, the new hazard estimates have raised questions over the appropriateness of the prescribed National Construction Code probability level as used in the AS1170.4 to determine appropriate seismic demands for the design of ordinary-use structures. Therefore, it is suggested that the ground-motion exceedance probability used in the current AS1170.4 be reviewed in light of the recent hazard assessment and the expected performance of modern buildings for rarer ground motions.\nWhilst adjusting the AS1170.4 exceedance probability level would be a major departure from previous earthquake loading standards, it would bring it into line with other international building codes in similar tectonic environments. Additionally, it would offer opportunities to further modernise how seismic demands are considered in Australian building design. In particular, the authors highlight the following additional opportunities: 1) the use of uniform hazard spectra to replace and simplify the spectral shape factors, which do not deliver uniform hazard across all natural periods; 2) updated site amplification factors to ensure continuity with modern ground-motion models, and; 3) the potential to define design ground motions in terms of uniform collapse risk rather than uniform hazard.\nEstimation of seismic hazard at any location is an uncertain science. However, as our knowledge improves, our estimates of the hazard will converge more closely to the actual – but unknowable – (time independent) hazard. It is therefore prudent to regularly update the estimates of the seismic demands in our building codes using the best available evidence-based methods and models.","conferenceTitle":"Australian Earthquake Engineering Society 2018 Conference","conferenceDate":"November 16-18, 2018","conferenceLocation":"Perth, AU","language":"English","publisher":"Australian Earthquake Engineering Society","usgsCitation":"Allen, T., and Luco, N., 2018, Opportunities to enhance seismic demand parameters for future editions of the AS1170.4, Australian Earthquake Engineering Society 2018 Conference, Perth, AU, November 16-18, 2018, 14 p.","productDescription":"14 p.","ipdsId":"IP-103256","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":372258,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":372242,"type":{"id":15,"text":"Index Page"},"url":"https://aees.org.au/wp-content/uploads/2019/12/01-Trevor-Allen.pdf"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Allen, Trevor I.","contributorId":138667,"corporation":false,"usgs":false,"family":"Allen","given":"Trevor","middleInitial":"I.","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. Current address: TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false}],"preferred":false,"id":782080,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luco, Nico 0000-0002-5763-9847 nluco@usgs.gov","orcid":"https://orcid.org/0000-0002-5763-9847","contributorId":145730,"corporation":false,"usgs":true,"family":"Luco","given":"Nico","email":"nluco@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":782079,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70202521,"text":"70202521 - 2018 - Initial dispersal (1986-1987) of the invasive foraminifera Trochammina hadai Uchio in San Francisco Bay, California, USA","interactions":[],"lastModifiedDate":"2019-03-07T10:00:40","indexId":"70202521","displayToPublicDate":"2018-12-22T10:00:33","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2735,"text":"Micropaleontology","active":true,"publicationSubtype":{"id":10}},"title":"Initial dispersal (1986-1987) of the invasive foraminifera Trochammina hadai Uchio in San Francisco Bay, California, USA","docAbstract":"A time series of three closely-spaced data sets are used to track the early expansion of the invasive Japanese benthic foraminifera Trochammina hadai in the southern portion of San Francisco Bay known as South Bay. The species initially appeared in 1983, comprising only 1.5% of the assemblage in one of four samples that were dominated by the native species Ammonia tepida and Cribroelphidium excavatum (means = 60.2% and 33.8%, respectively). By 1986, census counts and R- andQ-mode cluster analyses document the explosive growth of the invasive as T. hadai now dominates the assemblage (mean = 42.7%;max = 88.7%)with associated declines in abundance of A. tepida (by greater than one-half; mean = 26.8%) and C. excavatum (by greater than one-third; mean = 20.6%). The invasive continued to dominant the assemblage in 1987, spreading even further to the north and south in South Bay, although its average abundance dropped slightly (~2%) as did those of A. tepida (~3%) and C. excavatum (0.4%). A rare increase in abundance of Elphidiella hannai and the appearance of numerous coastalmarine species in the central portion of the bay are thought to be the result of an incursion ofmarine waters into South Bay due to the prevalent drought conditions in 1987. Clearly, the rapid decline in abundance of the formerly dominant species A. tepida and C. excavatum in South Bay from 1983 to 1986 that continued into 1987 suggests the introduction of T. hadai in the bay severely impacted the native population.
","language":"English","publisher":"Micropaleontology Press","usgsCitation":"McGann, M., 2018, Initial dispersal (1986-1987) of the invasive foraminifera Trochammina hadai Uchio in San Francisco Bay, California, USA: Micropaleontology, v. 64, no. 5-6, p. 365-378.","productDescription":"14 p.","startPage":"365","endPage":"378","ipdsId":"IP-084633","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":361823,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":361822,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.micropress.org/microaccess/micropaleontology/issue-344/article-2085"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.82714843749999,\n 37.36579146999664\n ],\n [\n -121.3604736328125,\n 37.36579146999664\n ],\n [\n -121.3604736328125,\n 38.46864331036051\n ],\n [\n -122.82714843749999,\n 38.46864331036051\n ],\n [\n -122.82714843749999,\n 37.36579146999664\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"64","issue":"5-6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McGann, Mary 0000-0002-3057-2945 mmcgann@usgs.gov","orcid":"https://orcid.org/0000-0002-3057-2945","contributorId":169540,"corporation":false,"usgs":true,"family":"McGann","given":"Mary","email":"mmcgann@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":758915,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70201605,"text":"70201605 - 2018 - Sympatry or syntopy? Investigating drivers of distribution and co‐occurrence for two imperiled sea turtle species in Gulf of Mexico neritic waters","interactions":[],"lastModifiedDate":"2019-08-19T16:58:03","indexId":"70201605","displayToPublicDate":"2018-12-18T13:48:18","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Sympatry or syntopy? Investigating drivers of distribution and co‐occurrence for two imperiled sea turtle species in Gulf of Mexico neritic waters","docAbstract":"Animals co‐occurring in a region (sympatry) may use the same habitat (syntopy) within that region. A central aim in ecology is determining what factors drive species distributions (i.e., abiotic conditions, dispersal limitations, and/or biotic interactions). Assessing the degree of biotic interactions can be difficult for species with wide ranges at sea. This study investigated the spatial ecology of two sea turtle species that forage on benthic invertebrates in neritic GoM waters: Kemp's ridleys (Lepidochelys kempii) and loggerheads (Caretta caretta). We used satellite tracking and modeled behavioral modes, then calculated individual home ranges, compared foraging areas, and determined extent of co‐occurrence. Using six environmental variables and principal component analysis, we assessed similarity of chosen foraging sites. We predicted foraging location (eco‐region) based on species, nesting site, and turtle size. For 127 turtles (64 Kemp's ridleys, 63 loggerheads) tracked from 1989 to 2013, foraging home ranges were nine to ten times larger for Kemp's ridleys than for loggerheads. Species intersected off all U.S. coasts and the Yucatán Peninsula, but co‐occurrence areas were small compared to species' distributions. Kemp's ridley foraging home ranges were concentrated in the northern GoM, whereas those for loggerheads were concentrated in the eastern GoM. The two species were different in all habitat variables compared (latitude, longitude, distance to shore, net primary production, mean sea surface temperature, and bathymetry). Nesting site was the single dominant variable that dictated foraging ecoregion. Although Kemp's ridleys and loggerheads may compete for resources, the separation in foraging areas, significant differences in environmental conditions, and importance of nesting location on ecoregion selection (i.e., dispersal ability) indicate that adult females of these species do not interact greatly during foraging and that dispersal and environmental factors more strongly determine their distributions. These species show sympatry in this region but evidence for syntopy was rare.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.4691","usgsCitation":"Hart, K., Iverson, A., Fujisaki, I., Lamont, M.M., Bucklin, D.N., and Shaver, D.J., 2018, Sympatry or syntopy? Investigating drivers of distribution and co‐occurrence for two imperiled sea turtle species in Gulf of Mexico neritic waters: Ecology and Evolution, v. 8, no. 24, p. 12656-12669, https://doi.org/10.1002/ece3.4691.","productDescription":"14 p.","startPage":"12656","endPage":"12669","ipdsId":"IP-091384","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":468182,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.4691","text":"Publisher Index Page"},{"id":360480,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"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 -99,\n 18\n ],\n [\n -81,\n 18\n ],\n [\n -81,\n 32\n ],\n [\n -99,\n 32\n ],\n [\n -99,\n 18\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"8","issue":"24","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-11-26","publicationStatus":"PW","scienceBaseUri":"5c1a1530e4b0708288c23514","contributors":{"authors":[{"text":"Hart, Kristen M. 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":209782,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":754495,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iverson, Autumn R. 0000-0002-8353-6745","orcid":"https://orcid.org/0000-0002-8353-6745","contributorId":173555,"corporation":false,"usgs":false,"family":"Iverson","given":"Autumn R.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":754496,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fujisaki, Ikuko","contributorId":38359,"corporation":false,"usgs":false,"family":"Fujisaki","given":"Ikuko","affiliations":[],"preferred":false,"id":754497,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lamont, Margaret M. 0000-0001-7520-6669 mlamont@usgs.gov","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":4525,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","email":"mlamont@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":754498,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bucklin, David N.","contributorId":175273,"corporation":false,"usgs":false,"family":"Bucklin","given":"David","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":754499,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shaver, Donna J.","contributorId":191186,"corporation":false,"usgs":false,"family":"Shaver","given":"Donna","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":754500,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70201721,"text":"70201721 - 2018 - Observer-free experimental evaluation of habitat and distance effects on the detection of anuran and bird vocalizations","interactions":[],"lastModifiedDate":"2019-01-28T11:24:44","indexId":"70201721","displayToPublicDate":"2018-12-11T11:24:27","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Observer-free experimental evaluation of habitat and distance effects on the detection of anuran and bird vocalizations","docAbstract":"Acoustic surveys of vocalizing animals are conducted to determine density, distribution, and diversity. Acoustic surveys are traditionally performed by human listeners, but automated recording devices (ARD) are becoming increasingly popular. Signal strength decays, or attenuates, with increasing distance between source and receiver and some habitat types may differentially increase attenuation beyond the effects of distance alone. These combined effects are rarely accounted for in acoustic monitoring programs. We evaluated the performance of three playback devices and three ARD models using the calls of six anurans, six birds, and four pure tones. Based on these evaluations, we determined the optimal playback and recording devices. Using these optimal devices, we broadcast and recorded vocalizations in five habitat types along 1,000 m transects. We used generalized linear models to test for effects of habitat, distance, species, environmental, and landscape variables. We predicted detection probabilities for each vocalization, in each habitat type, from 0 to 1,000 m. Among playback devices, only a remote predator caller simulated vocalizations consistently. Differences of ~10 dB were observed among ARDs. For all species, we found differences in detectability between open and closed canopy habitats. We observed large differences in predicted detection probability among species in each habitat type, as well as along 1,000 m transects. Increases in temperature, barometric pressure, and wind speed significantly decreased detection probability. However, aside from differences among species, habitat, and distance, topography impeding a line‐of‐sight between sound source and receiver had the greatest negative influence on detections. Our results suggest researchers should model the effects of habitat, distance, and frequency on detection probability when performing acoustic surveys. To optimize survey design, we recommend pilot measurements among varying habitats.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.4752","usgsCitation":"MacLaren, A.R., Crump, P.S., Royle, J.A., and Forstner, M., 2018, Observer-free experimental evaluation of habitat and distance effects on the detection of anuran and bird vocalizations: Ecology and Evolution, v. 8, no. 24, p. 12991-13003, https://doi.org/10.1002/ece3.4752.","productDescription":"13 p.","startPage":"12991","endPage":"13003","ipdsId":"IP-101421","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":468190,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.4752","text":"Publisher Index Page"},{"id":360722,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"24","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-11","publicationStatus":"PW","scienceBaseUri":"5c5022c4e4b0708288f7e814","contributors":{"authors":[{"text":"MacLaren, Andrew R.","contributorId":211837,"corporation":false,"usgs":false,"family":"MacLaren","given":"Andrew","email":"","middleInitial":"R.","affiliations":[{"id":38329,"text":"Texas State Univ.","active":true,"usgs":false}],"preferred":false,"id":755001,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crump, Paul S.","contributorId":211838,"corporation":false,"usgs":false,"family":"Crump","given":"Paul","email":"","middleInitial":"S.","affiliations":[{"id":38330,"text":"Texas State Univ","active":true,"usgs":false}],"preferred":false,"id":755002,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":139626,"corporation":false,"usgs":true,"family":"Royle","given":"J.","email":"aroyle@usgs.gov","middleInitial":"Andrew","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":755000,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Forstner, Michael R. J.","contributorId":211839,"corporation":false,"usgs":false,"family":"Forstner","given":"Michael R. J.","affiliations":[{"id":38330,"text":"Texas State Univ","active":true,"usgs":false}],"preferred":false,"id":755003,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70201245,"text":"70201245 - 2018 - Wildlife underpass use and environmental impact assessment: A southern California case study","interactions":[],"lastModifiedDate":"2018-12-10T10:11:21","indexId":"70201245","displayToPublicDate":"2018-12-10T10:11:17","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5704,"text":"Cities and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Wildlife underpass use and environmental impact assessment: A southern California case study","docAbstract":"Environmental planners often rely on transportation structures (i.e., underpasses, bridges) to provide connectivity for animals across developed landscapes. Environmental assessments of predicted environmental impacts from proposed developments often rely on literature reviews or other indirect measures to establish the importance of wildlife crossings. Literature-based evaluations of wildlife crossings may not be accurate, and result in under-estimation of impacts or establishment of inappropriate mitigation measures. To investigate the adequacy of literature-based evaluations, we monitored wildlife use of a freeway underpass that had been identified as critically important to wildlife connectivity, and which was evaluated in an environmental review document. Photographs were obtained from a network of trail cameras over 3 years. Six mid- to large-sized native mammal species used the underpass and two other mammal species were photographed near the underpass but not using it. American badger (Taxidea taxus) was photographed at a higher rate in the underpass than in the surrounding area. Gray fox (Urocyon cinereoargenteus) was rarely detected in the underpass relative to surrounding habitats, whereas the absence of mule deer (Odocoileus hemionus) in the underpass was unexpected, given relatively frequent detection in adjacent habitats. These results differed from the environmental assessment in that American badger was listed as \"potentially\" present while mule deer were expected to use the underpass. Results underscore importance of gathering data to document wildlife use of corridors, because some species do not or rarely take advantage of apparently suitable corridors, while others may be present when assumed to be absent.
","language":"English","publisher":"Loyola Marymount University","usgsCitation":"Longcore, T., Almaleh, L., Chetty, B., Francis, K., Freidin, R., Huang, C., Pickett, B., Schreck, D., Scruggs, B., Shulman, E., Swauger, A., Tashnek, A., Wright, M., and Boydston, E.E., 2018, Wildlife underpass use and environmental impact assessment: A southern California case study: Cities and the Environment, v. 11, no. 1, Article 4; 15 p.","productDescription":"Article 4; 15 p.","ipdsId":"IP-055382","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":360087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":360075,"type":{"id":15,"text":"Index Page"},"url":"https://digitalcommons.lmu.edu/cate/vol11/iss1/4"}],"country":"United States","state":"California","county":"Los Angeles County","city":"Santa Clarita","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.51286888122557,\n 34.33698684186147\n ],\n [\n -118.50239753723143,\n 34.33698684186147\n ],\n [\n -118.50239753723143,\n 34.36263906919103\n ],\n [\n -118.51286888122557,\n 34.36263906919103\n ],\n [\n -118.51286888122557,\n 34.33698684186147\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"11","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c0f897ae4b0c53ecb2c71ec","contributors":{"authors":[{"text":"Longcore, Travis","contributorId":211204,"corporation":false,"usgs":false,"family":"Longcore","given":"Travis","email":"","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":753398,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Almaleh, Lindsay","contributorId":211205,"corporation":false,"usgs":false,"family":"Almaleh","given":"Lindsay","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":753399,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chetty, Brittany","contributorId":211206,"corporation":false,"usgs":false,"family":"Chetty","given":"Brittany","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":753400,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Francis, Kathryn","contributorId":211207,"corporation":false,"usgs":false,"family":"Francis","given":"Kathryn","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":753401,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Freidin, Robert","contributorId":211208,"corporation":false,"usgs":false,"family":"Freidin","given":"Robert","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":753402,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Huang, Ching-Sheng","contributorId":211209,"corporation":false,"usgs":false,"family":"Huang","given":"Ching-Sheng","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":753403,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pickett, Brooke","contributorId":211210,"corporation":false,"usgs":false,"family":"Pickett","given":"Brooke","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":753404,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schreck, Diane","contributorId":211211,"corporation":false,"usgs":false,"family":"Schreck","given":"Diane","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":753405,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Scruggs, Brooke","contributorId":211212,"corporation":false,"usgs":false,"family":"Scruggs","given":"Brooke","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":753406,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Shulman, Elise","contributorId":211213,"corporation":false,"usgs":false,"family":"Shulman","given":"Elise","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":753407,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Swauger, Alissa","contributorId":211214,"corporation":false,"usgs":false,"family":"Swauger","given":"Alissa","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":753408,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Tashnek, Alison","contributorId":211215,"corporation":false,"usgs":false,"family":"Tashnek","given":"Alison","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":753409,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wright, Michael","contributorId":211248,"corporation":false,"usgs":false,"family":"Wright","given":"Michael","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":753410,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Boydston, Erin E. 0000-0002-8452-835X eboydston@usgs.gov","orcid":"https://orcid.org/0000-0002-8452-835X","contributorId":1705,"corporation":false,"usgs":true,"family":"Boydston","given":"Erin","email":"eboydston@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":753397,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70203095,"text":"70203095 - 2018 - What environmental conditions reduce predation vulnerability for juvenile Colorado River native fishes?","interactions":[],"lastModifiedDate":"2019-06-18T11:44:06","indexId":"70203095","displayToPublicDate":"2018-12-05T16:23:18","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2287,"text":"Journal of Fish and Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"What environmental conditions reduce predation vulnerability for juvenile Colorado River native fishes?","docAbstract":"The incompatibility of native Colorado River fishes and nonnative warm-water sport fishes is well documented with predation by nonnative species causing rapid declines and even extirpation of native species in most locations. In a few rare instances native fishes are able to survive and recruit despite the presence of nonnative warm water predators, indicating that specific environmental conditions may help reduce predation vulnerability. We experimented with turbidity, artificial blue water colorant, woody debris, rocks, and aquatic vegetation in a laboratory setting to determine if any of these types of cover could reduce predation vulnerability and confer survival advantages for juvenile bonytail Gila elegans, (mean = 70 mm TL), roundtail chub Gila robusta, (mean = 35 mm TL), humpback chub Gila cypha, (mean = 67 mm TL), and razorback sucker Xyrauchen texanus (mean = 74 mm TL). Juvenile native fishes were exposed to predation by adult largemouth bass Micropterus salmoides, smallmouth bass Micropterus dolomieu, green sunfish Lepomis cyanellus, flathead catfish Pylodictis olivaris, and black bullhead catfish Ameiurus melas, in overnight trials. Turbidity above 500 NTU reduced predation vulnerability by up to 50%, for the sight-feeding predators, but increased predation vulnerability to non-sight feeding predators such as flathead catfish and bullhead catfish. Turbidity was the only treatment which appeared to significantly alter predation mortality of native prey. These results may help to explain recent patterns of wild juvenile razorback sucker recruitment at the inflow of the San Juan River into Lake Powell and the inflow of the Colorado River into Lake Mead. These are both areas of high turbidity where flathead catfish are not currently present but other nonnative sportfish are relatively abundant.
","language":"English","publisher":"American Fisheries Society","doi":"10.3996/042018-JFWM-031","usgsCitation":"Ward, D.L., and Vaage, B., 2018, What environmental conditions reduce predation vulnerability for juvenile Colorado River native fishes?: Journal of Fish and Wildlife Management, v. 10, no. 1, p. 196-205, https://doi.org/10.3996/042018-JFWM-031.","productDescription":"10 p.","startPage":"196","endPage":"205","ipdsId":"IP-095633","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":468202,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3996/042018-jfwm-031","text":"Publisher Index Page"},{"id":437657,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94ANHV3","text":"USGS data release","linkHelpText":"Laboratory Predation Data (various nonnative warm-water sport fishes), Arizona"},{"id":363085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"10","issue":"1","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Ward, David L. 0000-0002-3355-0637 dlward@usgs.gov","orcid":"https://orcid.org/0000-0002-3355-0637","contributorId":3879,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dlward@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":761156,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vaage, Benjamin 0000-0003-1730-4302 bvaage@usgs.gov","orcid":"https://orcid.org/0000-0003-1730-4302","contributorId":211598,"corporation":false,"usgs":true,"family":"Vaage","given":"Benjamin","email":"bvaage@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":761157,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70201380,"text":"70201380 - 2018 - An experimental comparison of composite and grab sampling of stream water for metagenetic analysis of environmental DNA","interactions":[],"lastModifiedDate":"2018-12-13T14:40:53","indexId":"70201380","displayToPublicDate":"2018-12-05T14:40:47","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3840,"text":"PeerJ","active":true,"publicationSubtype":{"id":10}},"title":"An experimental comparison of composite and grab sampling of stream water for metagenetic analysis of environmental DNA","docAbstract":"Use of environmental DNA (eDNA) to assess distributions of aquatic and semi-aquatic macroorganisms is promising, but sampling schemes may need to be tailored to specific objectives. Given the potentially high variance in aquatic eDNA among replicate grab samples, compositing smaller water volumes collected over a period of time may be more effective for some applications. In this study, we compared eDNA profiles from composite water samples aggregated over three hours with grab water samples. Both sampling patterns were performed with identical autosamplers paired at two different sites in a headwater stream environment, augmented with exogenous fish eDNA from an upstream rearing facility. Samples were filtered through 0.8 μm cellulose nitrate filters and DNA was extracted with a cetyl trimethylammonium bromide procedure. Eukaryotic and bacterial community profiles were derived by amplicon sequencing of 12S ribosomal, 16S ribosomal, and cytochrome oxidase I loci. Operational taxa were assigned to genus with a lowest common ancestor approach for eukaryotes and to family with the RDP Classifier software for prokaryotes. Eukaryotic community profiles were more consistent with composite sampling than grab sampling. Downstream, rarefaction curves suggested faster taxon accumulation for composite samples, and estimated richness was higher for composite samples as a set than for grab samples. Upstream, composite sampling produced lower estimated richness than grab samples, but with overlapping standard errors. Furthermore, a bimodal pattern of richness as a function of sequence counts suggested the impact of clumped particles on upstream samples. Bacterial profiles were insensitive to sample method, consistent with the more even dispersion expected for bacteria compared with eukaryotic eDNA. Overall, samples composited over 3 h performed equal to or better than triplicate grab sampling for quantitative community metrics, despite the higher total sequencing effort provided to grab replicates. On the other hand, taxon-specific detection rates did not differ appreciably and the two methods gave similar estimates of the ratio of the common fish genera Salmo and Coregonus at each site. Unexpectedly, Salmo eDNA dropped out substantially faster than Coregonus eDNA between the two sites regardless of sampling method, suggesting that differential settling affects the estimation of relative abundance. We identified bacterial patterns that were associated with eukaryotic diversity, suggesting potential roles as biomarkers of sample representativeness.
","language":"English","publisher":"PeerJ","doi":"10.7717/peerj.5871","usgsCitation":"Cornman, R.S., McKenna, J.E., Fike, J., Oyler-McCance, S.J., and Johnson, R., 2018, An experimental comparison of composite and grab sampling of stream water for metagenetic analysis of environmental DNA: PeerJ, v. 6, p. 1-28, https://doi.org/10.7717/peerj.5871.","productDescription":"e5871; 28 p.","startPage":"1","endPage":"28","ipdsId":"IP-098663","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":468203,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.5871","text":"Publisher Index Page"},{"id":437658,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93NIUYM","text":"USGS data release","linkHelpText":"Metagenetic analysis of stream community composition based on environmental DNA"},{"id":360249,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-05","publicationStatus":"PW","scienceBaseUri":"5c137dd3e4b006c4f8514882","contributors":{"authors":[{"text":"Cornman, Robert S. 0000-0001-9511-2192 rcornman@usgs.gov","orcid":"https://orcid.org/0000-0001-9511-2192","contributorId":5356,"corporation":false,"usgs":true,"family":"Cornman","given":"Robert","email":"rcornman@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":753900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKenna, James E. Jr. 0000-0002-1428-7597 jemckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-1428-7597","contributorId":195894,"corporation":false,"usgs":true,"family":"McKenna","given":"James","suffix":"Jr.","email":"jemckenna@usgs.gov","middleInitial":"E.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":753901,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fike, Jennifer A. 0000-0001-8797-7823","orcid":"https://orcid.org/0000-0001-8797-7823","contributorId":207268,"corporation":false,"usgs":true,"family":"Fike","given":"Jennifer A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":753902,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":753903,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Robin 0000-0003-4314-3792","orcid":"https://orcid.org/0000-0003-4314-3792","contributorId":211387,"corporation":false,"usgs":false,"family":"Johnson","given":"Robin","affiliations":[{"id":38242,"text":"Integrated Statistics (Contractor)","active":true,"usgs":false}],"preferred":false,"id":753904,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70202586,"text":"70202586 - 2018 - Trace element characterisation of MAD‐559 zircon reference material for ion microprobe analysis","interactions":[],"lastModifiedDate":"2019-03-13T15:44:08","indexId":"70202586","displayToPublicDate":"2018-12-01T15:44:02","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1822,"text":"Geostandards and Geoanalytical Research","active":true,"publicationSubtype":{"id":10}},"title":"Trace element characterisation of MAD‐559 zircon reference material for ion microprobe analysis","docAbstract":"We document the composition of a natural zircon gemstone sourced from Madagascar, MAD‐559 – a new reference material for calibrating trace element mass fractions in zircon measured by SIMS. The composition of MAD‐559 was quantified by calibration relative to the well‐documented zircon reference material 91500, for which we compiled existing published data (Mg, Al, Y, rare earth elements, Hf, U, Th) and performed new measurements to characterise the mass fraction of less commonly measured elements (Li, Be, B, F, Na, P, K, Ca, Sc, Ti, Fe, Nb). Measurement results of SL13, CZ3 and MAD‐1 zircons and NIST SRM glasses were performed as quality control materials to test measurement bias and repeatability. We show the intermediate precision for most trace element measurement results of MAD‐559 to be between ± 3% and ± 5% RSD based on 139 measurements by SIMS on twenty‐five individual polished zircon chips measured during a 24‐h period, as well as repeat measurements performed over five separate analytical sessions. Trace element mass fractions were also measured by LA‐ICP‐MS in two different laboratories, and major element compositions measured by electron microprobe, to compare with results measured by SIMS. Based on laser Raman and hyperspectral cathodoluminescence spectroscopy, we show MAD‐559 to have high crystal disorder due to radiation damage relative to crystalline zircon (e.g., SL13 and 91500 zircon). Although the high cumulative alpha dose of MAD‐559 zircon makes it a poor reference material for geochronology, the consistency of the trace element mass fraction results measured in multiple sessions and by various measurement methods shows that it is an ideal reference material for microanalytical trace element mass fraction quantification of zircon.
","language":"English","publisher":"International Association of Geoanalysts","doi":"10.1111/ggr.12238","usgsCitation":"Coble, M.A., Vazquez, J.A., Barth, A.P., Wooden, J.L., Burns, D., Kylander-Clark, A.R., Jackson, S., and Vennari, C.E., 2018, Trace element characterisation of MAD‐559 zircon reference material for ion microprobe analysis: Geostandards and Geoanalytical Research, v. 42, no. 4, p. 481-497, https://doi.org/10.1111/ggr.12238.","productDescription":"17 p.","startPage":"481","endPage":"497","ipdsId":"IP-098965","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":468210,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ggr.12238","text":"Publisher Index Page"},{"id":362044,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-09-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Coble, Matthew A.","contributorId":200372,"corporation":false,"usgs":false,"family":"Coble","given":"Matthew","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":759208,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vazquez, Jorge A. 0000-0003-2754-0456 jvazquez@usgs.gov","orcid":"https://orcid.org/0000-0003-2754-0456","contributorId":4458,"corporation":false,"usgs":true,"family":"Vazquez","given":"Jorge","email":"jvazquez@usgs.gov","middleInitial":"A.","affiliations":[{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true},{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true}],"preferred":true,"id":759207,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barth, Andrew P.","contributorId":214136,"corporation":false,"usgs":false,"family":"Barth","given":"Andrew","email":"","middleInitial":"P.","affiliations":[{"id":38983,"text":"Indiana University - Purdue University","active":true,"usgs":false}],"preferred":false,"id":759209,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wooden, Joseph L.","contributorId":193587,"corporation":false,"usgs":false,"family":"Wooden","given":"Joseph","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":759210,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Burns, Dale","contributorId":214137,"corporation":false,"usgs":false,"family":"Burns","given":"Dale","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":759211,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kylander-Clark, Andrew R. C.","contributorId":212897,"corporation":false,"usgs":false,"family":"Kylander-Clark","given":"Andrew","email":"","middleInitial":"R. C.","affiliations":[],"preferred":false,"id":759212,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jackson, Simon","contributorId":214138,"corporation":false,"usgs":false,"family":"Jackson","given":"Simon","email":"","affiliations":[{"id":13092,"text":"Geological Survey of Canada","active":true,"usgs":false}],"preferred":false,"id":759213,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vennari, Cara E.","contributorId":214139,"corporation":false,"usgs":false,"family":"Vennari","given":"Cara","email":"","middleInitial":"E.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":759214,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70201575,"text":"70201575 - 2018 - Land mollusks of the California Channel Islands: An overview of diversity, populations, and conservation status","interactions":[],"lastModifiedDate":"2020-12-16T16:16:07.072337","indexId":"70201575","displayToPublicDate":"2018-12-01T13:44:09","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Land mollusks of the California Channel Islands: An overview of diversity, populations, and conservation status","docAbstract":"The land snails and slugs have the highest level of endemism among all major animal groups on the California Channel Islands, with nearly 75% of the native terrestrial species confined to one or more of the 8 islands. In spite of this endemism, and in spite of the rarity of some species, the snails and slugs are one of the most poorly known groups. We present the first comprehensive overview of the land mollusk fauna of the Channel Islands, along with the results of recent intensive inventory studies. Surveys on San Clemente Island have increased the number of land mollusk species known from that island by 50%, and a single survey trip to Santa Rosa Island more than doubled the number of species known on that island. More additions to the land snail and slug fauna are certain for the poorly surveyed northern Channel Islands. This new information has provided insight into trends in species diversity and biogeographic patterns, with marked differences in species composition between the northern and southern islands. Our surveys to date suggest a strong link between the recovery of native vegetation on the islands and the population status of land snails and slugs, with substantially larger numbers of native mollusks on those islands that have been free of nonnative mammals the longest. Survey work is continuing, but it is clear that some very rare endemic snails and slugs on the islands merit specific management attention.
","language":"English","publisher":"Monte L. Bean Life Science Museum, Brigham Young University","doi":"10.3398/064.078.0419","usgsCitation":"Drost, C.A., Nekola, J.C., Roth, B., and Pearce, T.A., 2018, Land mollusks of the California Channel Islands: An overview of diversity, populations, and conservation status: Western North American Naturalist, v. 78, no. 4, p. 799-810, https://doi.org/10.3398/064.078.0419.","productDescription":"12 p.","startPage":"799","endPage":"810","ipdsId":"IP-088858","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":488968,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol78/iss4/29","text":"External Repository"},{"id":360479,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Channel Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.3282470703125,\n 32.79651010951669\n ],\n [\n -118.27880859375001,\n 33.37641235124676\n ],\n [\n -118.5369873046875,\n 33.52307880890422\n ],\n [\n -119.5147705078125,\n 34.102707993174874\n ],\n [\n -120.531005859375,\n 34.08906131584994\n ],\n [\n -120.3277587890625,\n 33.85673152928873\n ],\n [\n -119.54223632812501,\n 33.17434155100208\n ],\n [\n -118.4051513671875,\n 32.7503226078097\n ],\n [\n -118.3282470703125,\n 32.79651010951669\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"78","issue":"4","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c1a1532e4b0708288c23523","contributors":{"authors":[{"text":"Drost, Charles A. 0000-0002-4792-7095 charles_drost@usgs.gov","orcid":"https://orcid.org/0000-0002-4792-7095","contributorId":3151,"corporation":false,"usgs":true,"family":"Drost","given":"Charles","email":"charles_drost@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":754466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nekola, Jeffrey C.","contributorId":26214,"corporation":false,"usgs":false,"family":"Nekola","given":"Jeffrey","email":"","middleInitial":"C.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":754467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roth, Barry","contributorId":211600,"corporation":false,"usgs":false,"family":"Roth","given":"Barry","email":"","affiliations":[{"id":38271,"text":"San Francisco, CA 94117, barry_roth@yahoo.com","active":true,"usgs":false}],"preferred":false,"id":754468,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearce, Timothy A.","contributorId":211601,"corporation":false,"usgs":false,"family":"Pearce","given":"Timothy","email":"","middleInitial":"A.","affiliations":[{"id":38272,"text":"Carnegie Museum of Natural History, Pittsburgh, PA 15213, PearceT@carnegiemnh.org","active":true,"usgs":false}],"preferred":false,"id":754469,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70202212,"text":"70202212 - 2018 - Geomorphic evolution of a gravel‐bed river under sediment‐starved vs. sediment‐rich conditions: River response to the world's largest dam removal","interactions":[],"lastModifiedDate":"2019-02-14T12:21:52","indexId":"70202212","displayToPublicDate":"2018-12-01T12:21:45","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2318,"text":"Journal of Geophysical Research F: Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Geomorphic evolution of a gravel‐bed river under sediment‐starved vs. sediment‐rich conditions: River response to the world's largest dam removal","docAbstract":"Understanding river response to sediment pulses is a fundamental problem in geomorphic process studies, with myriad implications for river management. However, because large sediment pulses are rare and usually unanticipated, they are seldom studied at field scale. We examine fluvial response to a massive (~20 Mt) sediment pulse released by the largest dam removal globally, on the Elwha River, Washington, United States, in an 11‐year before‐after/control‐impact study of channel morphology and grain size. We test the hypothesis that for a given flow magnitude, greater geomorphic change occurs under sediment‐rich conditions than under sediment‐starved conditions. Channel response to flow forcing was significantly different during the sediment‐pulse peak, 1–2 years after dam removal began, than earlier or later. During peak sediment supply our hypothesis was supported; major geomorphic change occurred under low flows and unit stream power ≤60 W/m2. However, by 4–6 years after dam removal began, rates of geomorphic change and sensitivity to stream power had decreased substantially such that our hypothesis was no longer unequivocally supported. These findings are consistent with a two‐phase conceptual model of dam‐removal response, involving a transport‐limited state followed by a more supply‐limited state. From comparisons with other dam removals and natural sediment pulses, we infer that the longevity of sediment‐pulse signals in gravel‐bed rivers depends upon gradient, river discharge, valley morphology, and sediment grain size. Stream power associated with substantial geomorphic change varies with sediment supply, such that assigning a general threshold stream power to gravel‐bed rivers may be untenable.
","language":"English","publisher":"AGU","doi":"10.1029/2018JF004703","usgsCitation":"East, A.E., Logan, J.B., Mastin, M.C., Ritchie, A.C., Bountry, J.A., Magirl, C.S., and Sankey, J.B., 2018, Geomorphic evolution of a gravel‐bed river under sediment‐starved vs. sediment‐rich conditions: River response to the world's largest dam removal: Journal of Geophysical Research F: Earth Surface, v. 123, no. 12, p. 3338-3369, https://doi.org/10.1029/2018JF004703.","productDescription":"32 p.","startPage":"3338","endPage":"3369","ipdsId":"IP-096606","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":468219,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018jf004703","text":"Publisher Index Page"},{"id":361253,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Elwha River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.667,\n 47.9167\n ],\n [\n -123.5,\n 47.9167\n ],\n [\n -123.5,\n 48.1667\n ],\n [\n -123.667,\n 48.1667\n ],\n [\n -123.667,\n 47.9167\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"123","issue":"12","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-28","publicationStatus":"PW","contributors":{"authors":[{"text":"East, Amy E. 0000-0002-9567-9460 aeast@usgs.gov","orcid":"https://orcid.org/0000-0002-9567-9460","contributorId":196364,"corporation":false,"usgs":true,"family":"East","given":"Amy","email":"aeast@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":757268,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Logan, Joshua B. 0000-0002-6191-4119 jlogan@usgs.gov","orcid":"https://orcid.org/0000-0002-6191-4119","contributorId":2335,"corporation":false,"usgs":true,"family":"Logan","given":"Joshua","email":"jlogan@usgs.gov","middleInitial":"B.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":757269,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mastin, Mark C. 0000-0003-4018-7861 mcmastin@usgs.gov","orcid":"https://orcid.org/0000-0003-4018-7861","contributorId":1652,"corporation":false,"usgs":true,"family":"Mastin","given":"Mark","email":"mcmastin@usgs.gov","middleInitial":"C.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757270,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ritchie, Andrew C. aritchie@usgs.gov","contributorId":4984,"corporation":false,"usgs":true,"family":"Ritchie","given":"Andrew","email":"aritchie@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":757271,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bountry, Jennifer A.","contributorId":30114,"corporation":false,"usgs":false,"family":"Bountry","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":757272,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Magirl, Christopher S. 0000-0002-9922-6549 magirl@usgs.gov","orcid":"https://orcid.org/0000-0002-9922-6549","contributorId":1822,"corporation":false,"usgs":true,"family":"Magirl","given":"Christopher","email":"magirl@usgs.gov","middleInitial":"S.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":757273,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sankey, Joel B. 0000-0003-3150-4992 jsankey@usgs.gov","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":3935,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel","email":"jsankey@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":757274,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70223328,"text":"70223328 - 2018 - Propagation of endangered moapa dace","interactions":[],"lastModifiedDate":"2021-08-24T12:11:17.560164","indexId":"70223328","displayToPublicDate":"2018-11-29T17:29:05","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1337,"text":"Copeia","active":true,"publicationSubtype":{"id":10}},"title":"Propagation of endangered moapa dace","docAbstract":"We report successful captive spawning and rearing of the highly endangered Moapa Dace, Moapa coriacea (approximately 650 individual fish in existence at time of this study). We simulated conditions under which this stream-dwelling southern Nevada cyprinid and similar species spawned and reared in the wild by varying temperature, photoperiod, flow, and substrate in 14 different spawning and rearing treatments in a propagation facility. Successful spawning occurred in artificial streams with the following characteristics: water flow directed both across the bottom gravel substrate into a cobble bed and across the upper water column; 12–14 fish/stream (0.016–0.026 fish/L depending on water level); static water temperature of 30–32°C; photoperiod of 12 h light and 12 h dark; gradual replacement of water from their natal stream with on-site well water; a combination of pelleted, frozen and live food; and minimal disturbance of fish. Nevada Department of Wildlife now uses these techniques successfully to produce fish in a culture setting. Identification of the effective combination of factors to trigger spawning in exceptionally rare fishes can be difficult and time consuming, and limiting factors can be subtle. Sufficient numbers of available test fish, close study and replication of wild spawning conditions, careful documentation, and patience to identify subtle limiting factors are often required to effectively rear and spawn fishes not previously propagated.
","language":"English","publisher":"BioOne","doi":"10.1643/OT-18-036","usgsCitation":"Ruggirello, J., Bonar, S.A., Feuerbacher, O.G., Simons, L.H., and Powers, C., 2018, Propagation of endangered moapa dace: Copeia, v. 106, no. 4, p. 652-662, https://doi.org/10.1643/OT-18-036.","productDescription":"11 p.","startPage":"652","endPage":"662","ipdsId":"IP-102179","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":388394,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"southeast Nevada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -115.433349609375,\n 36.19109202182454\n ],\n [\n -114.114990234375,\n 36.19109202182454\n ],\n [\n -114.114990234375,\n 37.02886944696474\n ],\n [\n -115.433349609375,\n 37.02886944696474\n ],\n [\n -115.433349609375,\n 36.19109202182454\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"106","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ruggirello, Jack E.","contributorId":264620,"corporation":false,"usgs":false,"family":"Ruggirello","given":"Jack E.","affiliations":[{"id":40855,"text":"UA","active":true,"usgs":false}],"preferred":false,"id":821765,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bonar, Scott A. 0000-0003-3532-4067 sbonar@usgs.gov","orcid":"https://orcid.org/0000-0003-3532-4067","contributorId":3712,"corporation":false,"usgs":true,"family":"Bonar","given":"Scott","email":"sbonar@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":821763,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Feuerbacher, Olin G.","contributorId":264619,"corporation":false,"usgs":false,"family":"Feuerbacher","given":"Olin","email":"","middleInitial":"G.","affiliations":[{"id":40855,"text":"UA","active":true,"usgs":false}],"preferred":false,"id":821764,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Simons, Lee H.","contributorId":264621,"corporation":false,"usgs":false,"family":"Simons","given":"Lee","email":"","middleInitial":"H.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":821766,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Powers, Chelsea","contributorId":264622,"corporation":false,"usgs":false,"family":"Powers","given":"Chelsea","email":"","affiliations":[{"id":40855,"text":"UA","active":true,"usgs":false}],"preferred":false,"id":821767,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}