Hibridación entre la codorniz común (Coturnix coturnix) y la codorniz de granja: estado de un problema de conservación

La hibridación entre especies es un fenómeno ampliamente extendido que puede tener consecuencias en la conservación de la biodiversidad. En el presente artículo se hace una revisión del problema de conservación derivado de la suelta de codornices de granja en poblaciones silvestres de codorniz común (Coturnix coturnix). Estas codornices de granja han resultado ser híbridos de codorniz común y codorniz japonesa (Coturnix japonica). Si no existen mecanismos de aislamiento reproductor, estas sueltas favorecerían la introgresión de genes de codorniz japonesa en las poblaciones de codorniz común; ello conllevaría que se produjera un “enjambre de híbridos” y la sedentarización de las poblaciones de codorniz, lo que comportaría muy probablemente su disminución en Europa. Esta amenaza es real, al haberse demostrado que no hay mecanismos de aislamiento reproductor, ni pre-cigóticos, ni post-cigóticos, ni ecológicos. Sin embargo, datos empíricos sugieren que a pesar de ello no se produce el temido “enjambre de híbridos”, sugiriéndose una mortalidad diferencial entre las dos especies como una posible explicación. Finalmente, se sugieren algunas medidas de gestión derivadas de la situación actual, entre las que destacaría un control genético que certifique el origen de los individuos criados en granja y la prohibición de efectuar sueltas de codornices japonesas o híbridos.

MDD vs. traditional software development: a practitioner’s subjective perspective

Context: Today’s project managers have a myriad of methods to choose from for the development of software applications. However, they lack empirical data about the character of these methods in terms of usefulness, ease of use or compatibility, all of these being relevant variables to assess the developer’s intention to use them. Objective: To compare three methods, each following a different paradigm (Model-Driven, Model-Based and Code-Centric) with respect to their adoption potential by junior software developers engaged in the development of the business layer of a Web 2.0 application. Method: We have conducted a quasi-experiment with 26 graduate students of the University of Alicante. The application developed was a Social Network, which was organized around a fixed set of modules. Three of them, similar in complexity, were used for the experiment. Subjects were asked to use a different method for each module, and then to answer a questionnaire that gathered their perceptions during such use. Results: The results show that the Model-Driven method is regarded as the most useful, although it is also considered the least compatible with previous developers’ experiences. They also show that junior software developers feel comfortable with the use of models, and that they are likely to use them if the models are accompanied by a Model-Driven development environment. Conclusions: Despite their relatively low level of compatibility, Model-Driven development methods seem to show a great potential for adoption. That said, however, further experimentation is needed to make it possible to generalize the results to a different population, different methods, other languages and tools, different domains or different application sizes.

Dynamical Approach for Real-Time Monitoring of Agricultural Crops

In this paper, a novel approach for exploiting multitemporal remote sensing data focused on real-time monitoring of agricultural crops is presented. The methodology is defined in a dynamical system context using state-space techniques, which enables the possibility of merging past temporal information with an update for each new acquisition. The dynamic system context allows us to exploit classical tools in this domain to perform the estimation of relevant variables. A general methodology is proposed, and a particular instance is defined in this study based on polarimetric radar data to track the phenological stages of a set of crops. A model generation from empirical data through principal component analysis is presented, and an extended Kalman filter is adapted to perform phenological stage estimation. Results employing quad-pol Radarsat-2 data over three different cereals are analyzed. The potential of this methodology to retrieve vegetation variables in real time is shown.