Restoration of Cymodocea nodosa (Uchria) Ascherson seagrass prairies through seed propagation. Seed storage and growth of seedlings as affected by inorganic nutrients and plant hormones.

[EN] In the frame of the restoration of natural populations of Cymodocea nodosa of the Canary Islands, seeds are being collected at natural populations where germination is rather scarce and seasonal after dormancy. We have developed techniques of propagation in vitro of collected seeds, consisting in forced seed germination and seedlings propagation to obtain mature 20-30 cm plantlet, which eventually are being used for restoration. In order to improve the developed methodology, several experiments were conducted to adjust conditions for seed storage under different regimes of temperature without loosing germinative potential, fertilize during propagation with controlled released NPK fertilizers, and increase growth by dipping seedlings in solutions of the most common plant hormones.

Restoration of Cymodocea nodosa (Uchria) Ascherson seagrass prairies through seed propagation. Germination in vitro, plantlet acclimation and transplanting to natural meadows.

[EN] The seagrass Cymodocea nodosa (Ucria) Ascherson is the most abundant seagrass species in the Canary Islands (Spain), where it forms dense submerged, ecologically relevant communities as stable and protected habitats. As with other seagrasses, concern has arisen due to a decline in the number and extension of the communities as the result of adverse activities in coastal areas. Seed germination and planting are assumed as cost-effective method for restoration. In the frame of the restoration of natural populations of Cymodocea nodosa, pilot experiences not tested so far in the Canary Islands have been carried out to developed in vitro techniques to produce viable seedlings and its transference to the natural environment.

Los SIG aplicados a la organización de la información marina. Experiencias en el proyecto MEDINA (Marine Ecosystem Dynamics and Indicators for North Africa)

[ES] Los Sistemas de Información Geográfica (SIG) juegan un papel primordial en cualquier proyecto que use de algún modo datos georreferenciados. El proyecto FP7 MEDINA (Marine ecosystem dynamics and indicators for north Africa) no es una excepción, donde trabajamos con indicadores provenientes de diferentes países e instituciones. Una de las labores que se ha llevado a cabo es la armonización de dicha información y la puesta en común mediante las posibilidades que ofrecen los SIG y herramientas afines. Hablaremos de la capacidad de los SIG, especialmente en sus soluciones libres, para poder organizar, gestionar y analizar la información geográfica.

Automatic (data-based) learning of expressive indicators for machine failure detection : a proposal

Máster Universitario en Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería (SIANI)