A method to incorporate the effect of taxonomic uncertainty on multivariate analyses of ecological data

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.

Methodology for the design of offshore wind farms

Although still in an early stage, offshore wind development is now characterized by a boom process. This leads to the necessity of applying an integral management model for the design of offshore wind facilities, being the purpose of the model to achieve technical, economical and environmental viability, all within a sustainable development framework. The foregoing led to the research project exposed in this paper, consisting of drawing up an offshore wind farms methodological proposal; this methodology has a global and/or general nature or point of view whilst searching for optimization of the overall process of operations leading to the design of this type of installations and establishing collated theoretical bases for the further development of management tools. This methodological proposal follows a classical engineering thought scheme: it begins with the alternatives study, and ends with the detailed design. With this in mind, the paper includes the following sections: introduction, methodology used for the research project, conditioning factors, methodological proposal for the design of offshore wind farms, checking the methodological proposal, and conclusions

Las decisiones de proyecto y los costes de construcción en la vivienda rural, aplicado al estudio de la vivienda autopromovida en la provincia de Cáceres

En la coyuntura actual, en la que existe por un lado, exceso en la oferta de vivienda (de alto precio o de segunda residencia), y aparece por otro demanda de vivienda (de bajo precio y/o social), el mercado inmobiliario se encuentra paradójicamente bloqueado. Así, surge esta investigación como fruto de este momento histórico, en el cual se somete a debate económico el producto vivienda, no solo como consecuencia de la profunda crisis económica, sino también para la correcta gestión de los recursos desde el punto de vista de lo eficiente y sostenible. Se parte de la hipótesis de que es necesario determinar un estimador de costes de construcción de vivienda autopromovida como una de las soluciones a la habitación en el medio rural de Extremadura, para lo cual se ha tomado como modelo de análisis concretamente la Vivienda Autopromovida subvencionada por la Junta de Extremadura en el marco de la provincia de Cáceres. Con esta investigación se pretende establecer una herramienta matemática precisa que permita determinar la inversión a los promotores, el posible margen de beneficios a los contratistas y el valor real de la garantía en el préstamo a las entidades financieras. Pero el objetivo de mayor proyección social de esta investigación consiste en facilitar una herramienta sencilla a la Junta de Extremadura para que pueda establecer las ayudas de una manera proporcional. De este modo se ayuda a optimizar los recursos, lo cual en época de crisis resulta aun más acuciante, ya que conociendo previamente y con bastante exactitud el importe de las obras se pueden dirigir las ayudas de forma proporcional a las necesidades reales de la ejecución. De hecho, ciertas características difíciles de cuantificar para determinar las ayudas en materia de vivienda, como la influencia del número de miembros familiares o la atención a la discapacidad, se verían contempladas de forma indirecta en el coste estimado con el método aquí propuesto, ya que suponen siempre un aumento de las superficies construidas y útiles, de los huecos de fachadas o del tamaño de locales húmedos y por tanto se contemplan en la ecuación del modelo determinado. Por último, contar con un estimador de costes potencia la forma de asentamiento de la construcción mediante autopromocion de viviendas ya que ayuda a la toma de decisiones al particular, subvencionado o no. En efecto, la herramienta es valida en cierta medida para cualquier autopromocion, constituye un sistema de construcción con las menores posibilidades especulativas y lo más sostenible, es abundante en toda Extremadura, y consigue que el sector de la construcción sea un sistema más eficiente al optimizar su proceso económico de producción. SUMMARY Under the present circumstances, in which there is, on one hand, an excess in the supply of housing (high-price or second-home), and on the other hand a demand for housing (low cost and/or social), paradoxically the property market is at a standstill. This research has come about as a result of this moment in time, in which the product: housing, is undergoing economic debate, not only on account of this serious economic crisis, but for the proper management of resources from the point of view of efficiency and sustainability. A building-costs estimator for owner-developed housing is deemed necessary as one of the solutions for the rural environment that is Extremadura. To this end, it is the Owner-Developed House which has been taken as analysis model. It is subsidized by the Extremadura Regional Government in Caceres Province. This research establishes an accurate mathematical tool to work out the developers’ investment, the builder’s potential profit margin and the reality of the loan for the Financial Institution. But the result of most social relevance in this research is to provide the Extremadura Regional Government with a simple tool, so that it can draw up the Subventions proportionally. Thus, the resources are optimized, an even more vital matter in times of economic slump, due to the fact that if the cost of the building works is known with some accuracy beforehand, the subventions can be allocated in a way that is proportional to the real needs of execution. In fact certain elements related to housing subventions which are hard to quantify, such as the influence of number of family members or disability support, would be covered indirectly in cost estimate with the proposed method, since they inevitably involve an increase in built area, exterior wall openings and the size of plumbed rooms. As such they are covered in the determined model equation. Lastly, the availability of a cost-estimator reinforces the ownerdeveloped building model, since it assists decision-making by the individual, whether subsidized or not. This is because the tool is valid to some extent in any owner-development, and this building scheme, which is common in Extremadura, is the most sustainable, and the least liable to speculation. It makes the building sector more efficient by optimizing the economic production process.

Abutments influence in the dynamic response of bridges

A simplified analytical model of a short span bridge is proposed. The inertial interaction effects of pier foundations and abutments has been included in order to evaluate the response sensitivities to different soil-structure interaction variables. The modification of natural frequency and damping properties is shown for typical short span bridges of the integral deck-abutment type for longitudinal vibrations or general bridges for the transverse ones.

Simplified modelling of bridge abutments-soil interaction under seismic effects

A simplified model is proposed to show the importance that the dynamic soil-abutment interaction can have in the global behavior of bridges submitted to seismic loading. The modification of natural frequency and damping properties is shown in graphic form for typical short span bridges of the integral deck-abutment type for longitudinal vibrations or general ones for transverse vibrations.

Hybrid incremental modeling based on least squares and fuzzy K-NN for monitoring tool wear in turning processes

There is now an emerging need for an efficient modeling strategy to develop a new generation of monitoring systems. One method of approaching the modeling of complex processes is to obtain a global model. It should be able to capture the basic or general behavior of the system, by means of a linear or quadratic regression, and then superimpose a local model on it that can capture the localized nonlinearities of the system. In this paper, a novel method based on a hybrid incremental modeling approach is designed and applied for tool wear detection in turning processes. It involves a two-step iterative process that combines a global model with a local model to take advantage of their underlying, complementary capacities. Thus, the first step constructs a global model using a least squares regression. A local model using the fuzzy k-nearest-neighbors smoothing algorithm is obtained in the second step. A comparative study then demonstrates that the hybrid incremental model provides better error-based performance indices for detecting tool wear than a transductive neurofuzzy model and an inductive neurofuzzy model.