40 research outputs found

    Queymi N° 20

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    Revista de difusión cultural, publicada por el INC, filial Ancash, en diciembre de 1982. Cuenta con la colaboración de autores locales y notas informativas sobre la actividad institucional del INC-FA. Contiene: Nota editorial -- Cartas -- Ancash en la Historia. El periodismo huaracino en la década de los 30, por Manuel S. Reina Loli -- La diócesis de Huarás, por Eduardo Velásquez T. -- Primeras manifestaciones culturales en el Departamento de Ancash, por Juan de Dios Alba -- Personajes. Pedro C. Kochatzin de la Cruz “Uchcu Pedro”, por Santiago Maguiña -- Actividades del INC-FA -- Astronomía andina, por Rubén Almendrades Z. -- Crónicas. Ecos de una Actuación Musical Inolvidable, por Francisco Gonzáles – El entierro de la Manta y el Pañolón, por Francisco Gonzáles -- Transcripción. Una excursión trasandina (del Boletín de la Soc. Geog. Lima T.XV año XIV) -- Poética. El viajante, por Herbert Sawanay

    Queymi N° 27

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    Revista de difusión cultural, publicada por el INC, filial Ancash, en setiembre de 1984. Cuenta con la colaboración de autores locales y notas informativas sobre la actividad institucional del INC-FA. Contiene: Nota Editorial – Cartas -- Ancash en la Historia. La erección de la diócesis de Huaraz, por Manuel S. Reyna Loli – Arqueología. Chavín (de Huántar) en proceso de ser declarado patrimonio monumental, por Martin Flores -- Transcripción. Colección de autores ancashinos, por Cristóbal Bustos Ch. – Opinión. Identidad Regional, por Rubén Almendradez Z. – Discursos. “Doña Nati” y “Estampas de mi madre” – Turismo. Guía de turismo “Ancash”, por Teófilo Maguiña Cueva – Fiesta patronal Santa Isabel de Huaylas, por Juan de Dios Alba – Evocación. Noche de San Juan, por María Turriate de Roca – Folklore. “Illa Rumi”, por Santiago Maguiña Chauca – Literaria. El lorito que se fue, por Francisco Gonzales – Actividades del INC-DA

    Hsp90 orchestrates transcriptional regulation by Hsf1 and cell wall remodelling by MAPK signalling during thermal adaptation in a pathogenic yeast

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    Acknowledgments We thank Rebecca Shapiro for creating CaLC1819, CaLC1855 and CaLC1875, Gillian Milne for help with EM, Aaron Mitchell for generously providing the transposon insertion mutant library, Jesus Pla for generously providing the hog1 hst7 mutant, and Cathy Collins for technical assistance.Peer reviewedPublisher PD

    TRY plant trait database - enhanced coverage and open access

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    Plant traits-the morphological, anatomical, physiological, biochemical and phenological characteristics of plants-determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits-almost complete coverage for 'plant growth form'. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait-environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives

    TRY plant trait database - enhanced coverage and open access

    Get PDF
    Plant traits—the morphological, anatomical, physiological, biochemical and phenological characteristics of plants—determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait‐based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits—almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives

    Laboratory fire spread analysis using visual and infrared images

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    This paper presents an experimental method using computer-based image processing techniques of visual and infrared movies of a propagating fire front, taken from one or more cameras, to supply the time evolutions of the fire front shape and position, flame inclination angle, height, and base width. As secondary outputs, it also provides the fire front rate of spread and a 3D graphical model of the fire front that can be rendered from any virtual view. The method is automatic and non-intrusive, has space–time resolution close to continuum and can be run in real-time or deferred modes. It is demonstrated in simple laboratory experiments in beds of pine needles set upon an inclinable burn table, with point and linear ignitions, but can be extended to open field situations.info:eu-repo/semantics/publishedVersio

    Stand growth and structure of mixed‑species and monospecific stands of Scots pine (Pinus sylvestris L.) and oak (Q. robur L., Quercus petraea(Matt.) Liebl.) analysed along a productivity gradient through Europe

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    Past failures of monocultures, caused by wind-throw or insect damages, and ongoing climate change currently strongly stimulate research into mixed-species stands. So far, the focus has mainly been on combinations of species with obvious complementary functional traits. However, for any generalization, a broad overview of the mixing reactions of functionally different tree species in different mixing proportions, patterns and under different site conditions is needed, including assem-blages of species with rather similar demands on resources such as light. Here, we studied the growth of Scots pine and oak in mixed versus monospecific stands on 36 triplets located along a productivity gradient across Europe, reaching from Sweden to Spain and from France to Georgia. The set-up represents a wide variation in precipitation (456–1250 mm year−1), mean annual temperature (6.7–11.5 °C) and drought index by de Martonne (21–63 mm °C−1). Stand inventories and increment cores of trees stemming from 40- to 132-year-old, fully stocked stands on 0.04–0.94-ha-sized plots provided insight into how species mixing modifies stand growth and structure compared with neighbouring monospecific stands. On average, the standing stem volume was 436 and 360 m3 ha−1 in the monocultures of Scots pine and oak, respectively, and 418 m3 ha−1in the mixed stands. The corresponding periodical annual volume increment amounted to 10.5 and 9.1 m3 ha−1 year−1 in the monocultures and 10.5 m3 ha−1 year−1 in the mixed stands. Scots pine showed a 10% larger quadratic mean diameter (p < 0.05), a 7% larger dominant diameter (p < 0.01) and a 9% higher growth of basal area and volume in mixed stands compared with neighbouring monocultures. For Scots pine, the productivity advantages of growing in mixture increased with site index (p < 0.01) and water supply (p < 0.01), while for oak they decreased with site index (p < 0.01). In total, the superior productivity of mixed[...]Miškų ir ekologijos fakultetasVytauto Didžiojo universiteta
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