25 research outputs found

    1-(2-Oxo-3,4-dihydro-2H-1,3-benzoxazin-4-yl)urea monohydrate

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    The organic molecule in the title hydrate, C9H9N3O3·H2O, was obtained by the condenstation of salicylic aldehyde with urea in acetonitrile. The oxazine ring adopts a slightly distorted sofa conformation, with the N atom deviating from the plane passing through the other atoms of the ring by 0.267 (2) Å. The crystal structure displays inter­molecular N—H⋯O and O—H⋯O hydrogen bonding

    Absolute values of the London penetration depth in YBa2Cu3O6+y measured by zero field ESR spectroscopy on Gd doped single crystals

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    Zero-field electron spin resonance (ESR) of dilute Gd ions substituted for Y in the cuprate superconductor YBa2_2Cu3_3O6+y_{\rm 6+y} is used as a novel technique for measuring the absolute value of the low temperature magnetic penetration depth λ(T0)\lambda(T\to 0). The Gd ESR spectrum of samples with 1\approx 1% substitution was obtained with a broadband microwave technique that measures power absorption bolometrically from 0.5 GHz to 21 GHz. This ESR spectrum is determined by the crystal field that lifts the level degeneracy of the spin 7/2 Gd3+^{3+} ion and details of this spectrum provide information concerning oxygen ordering in the samples. The magnetic penetration depth is obtained by relating the number of Gd ions exposed to the microwave magnetic field to the frequency-integrated intensity of the observed ESR transitions. This technique has allowed us to determine precise values of λ\lambda for screening currents flowing in the three crystallographic orientations (a^\hat a, b^\hat b and c^\hat c) in samples of Gdx_{\rm x}Y1x_{\rm 1-x}Ba2_2Cu3_3O6+y_{6+{\rm y}} of three different oxygen contents y=0.993{\rm y}=0.993 (Tc=89T_c = 89 K), y=0.77{\rm y}=0.77 (Tc=75T_c=75 K) and y=0.52{\rm y}=0.52 (Tc=56T_c=56 K). The in-plane values are found to depart substantially from the widely reported relation Tc1/λ2T_c\propto 1/\lambda^2.Comment: 14 pages, 12 figures; version to appear in PR

    Rapid Plant Identification Using Species- and Group-Specific Primers Targeting Chloroplast DNA

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    Plant identification is challenging when no morphologically assignable parts are available. There is a lack of broadly applicable methods for identifying plants in this situation, for example when roots grow in mixture and for decayed or semi-digested plant material. These difficulties have also impeded the progress made in ecological disciplines such as soil- and trophic ecology. Here, a PCR-based approach is presented which allows identifying a variety of plant taxa commonly occurring in Central European agricultural land. Based on the trnT-F cpDNA region, PCR assays were developed to identify two plant families (Poaceae and Apiaceae), the genera Trifolium and Plantago, and nine plant species: Achillea millefolium, Fagopyrum esculentum, Lolium perenne, Lupinus angustifolius, Phaseolus coccineus, Sinapis alba, Taraxacum officinale, Triticum aestivum, and Zea mays. These assays allowed identification of plants based on size-specific amplicons ranging from 116 bp to 381 bp. Their specificity and sensitivity was consistently high, enabling the detection of small amounts of plant DNA, for example, in decaying plant material and in the intestine or faeces of herbivores. To increase the efficacy of identifying plant species from large number of samples, specific primers were combined in multiplex PCRs, allowing screening for multiple species within a single reaction. The molecular assays outlined here will be applicable manifold, such as for root- and leaf litter identification, botanical trace evidence, and the analysis of herbivory

    Identification of Roots of Woody Species Using Polymerase Chain Reaction

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    Within the last two decades, substantial progress has been made in understanding seed-bank dynamics and the contribution of the soil seed bank to a postdisturbance plant community. There has been relatively little progress, however, in understanding perennial bud-bank dynamics and the contribution of the soil bud bank to secondary succession. This lack of information is due primarily to the inability to reliably identify roots, rhizomes and lignotubers that lie dormant beneath the soil surface. This investigation addressed the issue of identification of below-ground woody structures. The first objective was to develop a method that used molecular tools to identify woody plant species from subsoil tissue samples. The second objective was to develop a key in which molecular markers served as criteria for the identification and differentiation of selected tree and shrub species common to the mountains of northeast Oregon and southeast Washington. Application of restriction fragment length polymorphism (RFLP) analysis of polymerase chain reaction (PCR)-amplified rbcL appears to be a reliable method to identify and differentiate 15 plants to the genus level. Two restriction enzymes, DpnII and HhaI, provided restriction site polymorphisms in the PCR product. The fragment number and length were used to develop an identification key. However, plants not analysed in this \u27exploratory key\u27 might share the same banding patterns, resulting in a false identification of unknowns

    Identification of Belowground Woody Structures Using Molecular Biomarkers

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    Climate change is advancing spring onset across the U.S. national park system

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    Many U.S. national parks are already at the extreme warm end of their historical temperature distributions. With rapidly warming conditions, park resource management will be enhanced by information on seasonality of climate that supports adjustments in the timing of activities such as treating invasive species, operating visitor facilities, and scheduling climate-related events (e.g., flower festivals and fall leaf-viewing). Seasonal changes in vegetation, such as pollen, seed, and fruit production, are important drivers of ecological processes in parks, and phenology has thus been identified as a key indicator for park monitoring. Phenology is also one of the most proximate biological responses to climate change. Here, we use estimates of start of spring based on climatically modeled dates of first leaf and first bloom derived from indicator plant species to evaluate the recent timing of spring onset (past 10-30 yr) in each U.S. natural resource park relative to its historical range of variability across the past 112 yr (1901-2012). Of the 276 high latitude to subtropical parks examined, spring is advancing in approximately three-quarters of parks (76%), and 53% of parks are experiencing "extreme" early springs that exceed 95% of historical conditions. Our results demonstrate how changes in climate seasonality are important for understanding ecological responses to climate change, and further how spatial variability in effects of climate change necessitates different approaches to management. We discuss how our results inform climate change adaptation challenges and opportunities facing parks, with implications for other protected areas, by exploring consequences for resource management and planning.NPS landscape dynamics monitoring project, NPScape; NASA-NPS Landscape Climate Change Vulnerability Project (NASA Applied Sciences program) [10-BIOCLIM10-0034]; United States Geological Survey [G14AC00405]This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at [email protected]
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