Perioperative stress in dogs underwent elective surgery: evaluation of the antioxidant activity

Projecte de recerca elaborat a partir d’una estada al Department of Biological Science a la University of Lincoln, a la Gran Bretanya, entre octubre i desembre del 2006. L'objectiu del present assaig va ser desciure les respostes antioxidants d'estrès en gossos sotmesos a cirurgia electiva, en condicions de pràctica clínica normals, durant les fases de preoperatori i postoperatori.Setze gossos van ser sotmesos a orquiectomia o ovariohisterectomia electives, utilitzant un protocol quirúrgic estàndard. Durant les fases preoperatoria i postoperatoria, cada animal va ser confinat a la Unitat de Cures Intensives, temps durant el qual es va estudiar la seva resposta antioxidant. Els valors obtinguts a diferents temps van ser comparats amb el valor basal, que s'havia obtingut del mateix animal estant aquest en el seu ambient habitual. No es van detectar variacions significants causades per l'estrès perioperatori. Els valors màxims es van observar durant la fase preoperatoria, just després que l'animal fós confinat a la Unitat de Cures Intensives, moment en el que l'estrès percebut era degut a les amenaces psicològiques de una àrea restringida i de la manipulació per persones desonegudes. L'abscència de variacions significants podrien ser degudes al sistema i el temps d'emmagatzement de les mostres. En humana s'han descrit les alteracions en l'activitat dels antioxidants sèrics després d'un mes d'emmagatzematent. Per definir l'estabilitat, després de la recollida de mostres, de l'activitat dels antioxidants en sèrum de gos és necessari realitzar més estudis.

Efficient knowledge retrieval to calibrate input variables in forest fire prediction

Forest fires are a serious threat to humans and nature from an ecological, social and economic point of view. Predicting their behaviour by simulation still delivers unreliable results and remains a challenging task. Latest approaches try to calibrate input variables, often tainted with imprecision, using optimisation techniques like Genetic Algorithms. To converge faster towards fitter solutions, the GA is guided with knowledge obtained from historical or synthetical fires. We developed a robust and efficient knowledge storage and retrieval method. Nearest neighbour search is applied to find the fire configuration from knowledge base most similar to the current configuration. Therefore, a distance measure was elaborated and implemented in several ways. Experiments show the performance of the different implementations regarding occupied storage and retrieval time with overly satisfactory results.

Modelling of bird distribution under complex mediterranean landscape dynamics: open habitat birds and fire (MEDFIRE)

Report for the scientific sojourn at the Simon Fraser University, Canada, from July to September 2007. General context: landscape change during the last years is having significant impacts on biodiversity in many Mediterranean areas. Land abandonment, urbanisation and specially fire are profoundly transforming large areas in the Western Mediterranean basin and we know little on how these changes influence species distribution and in particular how these species will respond to further change in a context of global change including climate. General objectives: integrate landscape and population dynamics models in a platform allowing capturing species distribution responses to landscape changes and assessing impact on species distribution of different scenarios of further change. Specific objective 1: develop a landscape dynamic model capturing fire and forest succession dynamics in Catalonia and linked to a stochastic landscape occupancy (SLOM) (or spatially explicit population, SEPM) model for the Ortolan bunting, a species strongly linked to fire related habitat in the region. Predictions from the occupancy or spatially explicit population Ortolan bunting model (SEPM) should be evaluated using data from the DINDIS database. This database tracks bird colonisation of recently burnt big areas (&50 ha). Through a number of different SEPM scenarios with different values for a number of parameter, we should be able to assess different hypothesis in factors driving bird colonisation in new burnt patches. These factors to be mainly, landscape context (i.e. difficulty to reach the patch, and potential presence of coloniser sources), dispersal constraints, type of regenerating vegetation after fire, and species characteristics (niche breadth, etc).