Contribution à l’étude de la dynamique des espèces végétales envahissantes face aux fluctuations des précipitations et des températures dans la plaine de Sidi Bel Abbes (Algérie)

Le développement des mauvaises herbes dans la plaine de Sidi Bel Abbes (Algérie) constituent un facteur agroécologique déterminant sur la qualité de la récolte et des rendements. L’impact sur les agrosystèmes reste important et est tributaire de deux paramètres climatiques : précipitations et températures. Lutter efficacement contre les mauvaises herbes dans les agrosystèmes exige une connaissance de leur dynamisme. Les mauvaises herbes se développent en relation avec les précipitations et présentent un spectre différent chaque année. Une connaissance des espèces à forte présence constitue une base fondamentale pour diminuer leur présence. Cerner le spectre de développement des principales espèces végétales nuisibles dans les céréales et l’appréciation de leur dynamisme est le but de cette étude. Le développement des mauvaises herbes dans les céréales reste un problème préoccupant et sa prise en charge pour organiser une lutte efficace passe par une compréhension de la dynamique phytoécologique.

An inverse method to obtain porosity, fibre diameter and density of fibrous sound absorbing materials

Characterization of sound absorbing materials is essential to predict its acoustic behaviour. The most commonly used models to do so consider the flow resistivity, porosity, and average fibre diameter as parameters to determine the acoustic impedance and sound absorbing coefficient. Besides direct experimental techniques, numerical approaches appear to be an alternative to estimate the material’s parameters. In this work an inverse numerical method to obtain some parameters of a fibrous material is presented. Using measurements of the normal incidence sound absorption coefficient and then using the model proposed by Voronina, subsequent application of basic minimization techniques allows one to obtain the porosity, average fibre diameter and density of a sound absorbing material. The numerical results agree fairly well with the experimental data.

Use of an Inverse Method for Time Series to Estimate the Dynamics of and Management Strategies for the Box Jellyfish Carybdea marsupialis

Frequently, population ecology of marine organisms uses a descriptive approach in which their sizes and densities are plotted over time. This approach has limited usefulness for design strategies in management or modelling different scenarios. Population projection matrix models are among the most widely used tools in ecology. Unfortunately, for the majority of pelagic marine organisms, it is difficult to mark individuals and follow them over time to determine their vital rates and built a population projection matrix model. Nevertheless, it is possible to get time-series data to calculate size structure and densities of each size, in order to determine the matrix parameters. This approach is known as a “demographic inverse problem” and it is based on quadratic programming methods, but it has rarely been used on aquatic organisms. We used unpublished field data of a population of cubomedusae Carybdea marsupialis to construct a population projection matrix model and compare two different management strategies to lower population to values before year 2008 when there was no significant interaction with bathers. Those strategies were by direct removal of medusae and by reducing prey. Our results showed that removal of jellyfish from all size classes was more effective than removing only juveniles or adults. When reducing prey, the highest efficiency to lower the C. marsupialis population occurred when prey depletion affected prey of all medusae sizes. Our model fit well with the field data and may serve to design an efficient management strategy or build hypothetical scenarios such as removal of individuals or reducing prey. TThis This sdfsdshis method is applicable to other marine or terrestrial species, for which density and population structure over time are available.