818 resultados para STALK-ROT


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This study examines the seed dispersal spectrum of the tropical dry forests of Southern Ecuador, in an effort to contribute to the knowledge of the complex dynamics of tropical dry forests. Seed dispersal spectrum was described for a total number of 160 species. Relationships of dispersal syndromes with plant growth form and climatic seasonality were explored. For a subset of 97 species, we determined whether dispersal spectrum changes when species abundance, in addition to species number, is taken into account. The same subset was used to relate dispersal syndromes with the environmental conditions. Zoochorous species dominated in the studied community. When considering the individual abundance of each species, however, anemochory was the prevalent dispersal syndrome. We found a significant difference in the frequency of dispersal syndromes among plant growth forms, with epizoochory only occurring in shrub species. The dispersal spectrum was dependent on climatic seasonality. The largest proportion of anemochorous species fructified during the dry season, while zoochorous diaspores dominated during the rainy season. A fourth-corner analysis indicated that the seed dispersal spectrum of Southern Ecuador dry forests is controlled by environmental conditions such as annual precipitation, annual temperature range or topography. Our results suggest that spatio-temporal changes in the environmental conditions may affect important ecological processes for dispersal. Thus, the predominance of one syndrome or another may depend on the spatial variation of environmental conditions.

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1. The spatial distribution of individual plants within a population and the population’s genetic structure are determined by several factors, like dispersal, reproduction mode or biotic interactions. The role of interspecific interactions in shaping the spatial genetic structure of plant populations remains largely unknown. 2. Species with a common evolutionary history are known to interact more closely with each other than unrelated species due to the greater number of traits they share. We hypothesize that plant interactions may shape the fine genetic structure of closely related congeners. 3. We used spatial statistics (georeferenced design) and molecular techniques (ISSR markers) to understand how two closely related congeners, Thymus vulgaris (widespread species) and T. loscosii (narrow endemic) interact at the local scale. Specific cover, number of individuals of both study species and several community attributes were measured in a 10 × 10 m plot. 4. Both species showed similar levels of genetic variation, but differed in their spatial genetic structure. Thymus vulgaris showed spatial aggregation but no spatial genetic structure, while T. loscosii showed spatial genetic structure (positive genetic autocorrelation) at short distances. The spatial pattern of T. vulgaris’ cover showed significant dissociation with that of T. loscosii. The same was true between the spatial patterns of the cover of T. vulgaris and the abundance of T. loscosii and between the abundance of each species. Most importantly, we found a correlation between the genetic structure of T. loscosii and the abundance of T. vulgaris: T. loscosii plants were genetically more similar when they were surrounded by a similar number of T. vulgaris plants. 5. Synthesis. Our results reveal spatially complex genetic structures of both congeners at small spatial scales. The negative association among the spatial patterns of the two species and the genetic structure found for T. loscosii in relation to the abundance of T. vulgaris indicate that competition between the two species may account for the presence of adapted ecotypes of T. loscosii to the abundance of a competing congeneric species. This suggests that the presence and abundance of close congeners can influence the genetic spatial structure of plant species at fine scales.

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Researchers in ecology commonly use multivariate analyses (e.g. redundancy analysis, canonical correspondence analysis, Mantel correlation, multivariate analysis of variance) to interpret patterns in biological data and relate these patterns to environmental predictors. There has been, however, little recognition of the errors associated with biological data and the influence that these may have on predictions derived from ecological hypotheses. We present a permutational method that assesses the effects of taxonomic uncertainty on the multivariate analyses typically used in the analysis of ecological data. The procedure is based on iterative randomizations that randomly re-assign non identified species in each site to any of the other species found in the remaining sites. After each re-assignment of species identities, the multivariate method at stake is run and a parameter of interest is calculated. Consequently, one can estimate a range of plausible values for the parameter of interest under different scenarios of re-assigned species identities. We demonstrate the use of our approach in the calculation of two parameters with an example involving tropical tree species from western Amazonia: 1) the Mantel correlation between compositional similarity and environmental distances between pairs of sites, and; 2) the variance explained by environmental predictors in redundancy analysis (RDA). We also investigated the effects of increasing taxonomic uncertainty (i.e. number of unidentified species), and the taxonomic resolution at which morphospecies are determined (genus-resolution, family-resolution, or fully undetermined species) on the uncertainty range of these parameters. To achieve this, we performed simulations on a tree dataset from southern Mexico by randomly selecting a portion of the species contained in the dataset and classifying them as unidentified at each level of decreasing taxonomic resolution. An analysis of covariance showed that both taxonomic uncertainty and resolution significantly influence the uncertainty range of the resulting parameters. Increasing taxonomic uncertainty expands our uncertainty of the parameters estimated both in the Mantel test and RDA. The effects of increasing taxonomic resolution, however, are not as evident. The method presented in this study improves the traditional approaches to study compositional change in ecological communities by accounting for some of the uncertainty inherent to biological data. We hope that this approach can be routinely used to estimate any parameter of interest obtained from compositional data tables when faced with taxonomic uncertainty.

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El proyecto ''Atlas y Libro Rojo de la Flora Vascular Amenazada de España" (proyecto AFA) se ha desarrollado a iniciativa del Ministerio de Medio Ambiente, en el que han participado de forma coordinada más de 200 personas organizadas en una treintena de equipos de trabajo procedentes de universidades, centros de investigación y otras instituciones vinculadas a la conservación de plantas. Su objetivo principal es el inventariado basado en la cartografía, censo y catalogación de la flora vascular amenazada española. Este proyecto se encuentra enmarcado dentro en un extenso programa nacional de caracterización de la biodiversidad, denominado Inventario Nacional de Biodiversidad, que tiene como finalidad la creación y el mantenimiento a largo plazo de un inventario de la biodiversidad española, organizado en una serie de Atlas estructurados por grupos taxonómicos (http://www.mma.es/portal! secciones/biodiversidad / inventarios / inb/) . En el caso de la flora vascular, un total de 466 especies prioritarias, en su mayoría pertenecientes a las categorías "en peligro crítico" (CR) y "en peligro" (EN) se encuentran informatizadas en una base de datos del Ministerio de Medio Ambiente, I cuyos campos describen su corología en cuadrículas de 500 x 500 m, el tamaño de cada una de sus poblaciones, los factores de amenaza, el grado de protección territorial, las actuaciones emprendidas y las propuestas futuras de conservación. Una síntesis de dicha información fue publicada en 2003 (reeditada en 2004 y 2007) bajo el título ''Atlas y Libro Rojo de la Flora Vascular Amenazada de España" (Bañares el al., 2004). En un proceso continuo de ampliación se han sumado al proyecto otras series de 35 y 53 especies (mayoritariamente "vulnerables", VU), publicadas como adendas al Atlas y Libro Rojo en años sucesivos (Bañares el al., 2007, 2009). En el inicio de las labores organizativas del proyecto AFA, y con antelación a los trabajos de campo, se constituyó un grupo de trabajo con el objetivo de preparar un manual metodológico de obtención de datos aplicable a todos los taxones de flora vascular considerados y en todo el territorio. Este manual de metodología, que fue presentado a los equipos de trabajo en una reunión técnica celebrada en Miraflores de la Sierra (Madrid) en febrero de 2001 y que se publica con la presente edición, recopila las pautas dadas a los equipos de trabajo que participaron en la obtención de los datos de campo. Con la publicación de este Manual de Metodología aplicado en la ejecución del proyecto AFA se intenta lograr un doble objetivo: por un lado, divulgar la metodología empleada a un público más amplio al objeto de que pueda servir de base para la ejecución de otros estudios de la misma naturaleza en éste u otros entornos geográficos; en segundo lugar, dar máxima difusión a esta información para facilitar la posibilidad de que, en un futuro, cuando se emprendan acciones de naturaleza semejante sobre las plantas vasculares amenazadas de España, resulte posible comparar los resultados obtenidos en tal estudio con los publicados en el Atlas y Libro Rojo de la Flora Vascular Amenazada de España. La experiencia adquirida tras la aplicación de esta metodología a los más de 500 taxones estudiados durante estos años, más una serie de avances, fundamentalmente el acceso a ciertas herramientas como los Sistemas Globales de Navegación por Satélite (GNSS) (p.ej. GPS), los Sistemas de Información Geográfica (SIG), la fotografía digital y también el desarrollo de ciertas bases de datos fácilmente consultables, nos ha permitido ahora incluir un apartado adicional que recopila nuevas recomendaciones metodológicas a incorporar en futuros estudios de esta naturaleza.

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Persistence and abundance of species is determined by habitat availability and the ability to disperse and colonize habitats at contrasting spatial scales. Favourable habitat fragments are also heterogeneous in quality, providing differing opportunities for establishment and affecting the population dynamics of a species. Based on these principles, we suggest that the presence and abundance of epiphytes may reflect their dispersal ability, which is primarily determined by the spatial structure of host trees, but also by host quality. To our knowledge there has been no explicit test of the importance of host tree spatial pattern for epiphytes in Mediterranean forests. We hypothesized that performance and host occupancy in a favourable habitat depend on the spatial pattern of host trees, because this pattern affects the dispersal ability of each epiphyte and it also determines the availability of suitable sites for establishment. We tested this hypothesis using new point pattern analysis tools and generalized linear mixed models to investigate the spatial distribution and performance of the epiphytic lichen Lobaria pulmonaria, which inhabits two types of host trees (beeches and Iberian oaks). We tested the effects on L. pulmonaria distribution of tree size, spatial configuration, and host tree identity. We built a model including tree size, stand structure, and several neighbourhood predictors to understand the effect of host tree on L. pulmonaria. We also investigated the relative importance of spatial patterning on the presence and abundance of the species, independently of the host tree configuration. L. pulmonaria distribution was highly dependent on habitat quality for successful establishment, i.e., tree species identity, tree diameter, and several forest stand structure surrogates. For beech trees, tree diameter was the main factor influencing presence and cover of the lichen, although larger lichen-colonized trees were located close to focal trees, i.e., young trees. However, oak diameter was not an important factor, suggesting that bark roughness at all diameters favoured lichen establishment. Our results indicate that L. pulmonaria dispersal is not spatially restricted, but it is dependent on habitat quality. Furthermore, new spatial analysis tools suggested that L. pulmonaria cover exhibits a distinct pattern, although the spatial pattern of tree position and size was random.

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Because climate can affect xylem cell anatomy, series of intra-annual cell anatomical features have the potential to retrospectively supply seasonal climatic information. In this study, we explored the ability to extract information about water stress conditions from tracheid features of the Mediterranean conifer Juniperus thurifera L. Tracheidograms of four climatic years from two drought-sensitive sites in Spain were compared to evaluate whether it is possible to link intra-annual cell size patterns to seasonal climatic conditions. Results indicated site-specific anatomical adjustment such as smaller and thicker tracheids at the dryer site but also showed a strong climatic imprint on the intra-annual pattern of tracheid size. Site differences in cell size reflected expected structural adjustments against cavitation failures. Differences between intra-annual patterns, however, indicated a response to seasonal changes in water availability whereby cells formed under drought conditions were smaller and thicker, and vice versa. This relationship was more manifest and stable at the dryer site