Will climate change compromise the thermal comfort areas of socio-economically important bivalve species in the Rías Baixas (NW Spain)?

Ponencia presentada en: XII Congreso de la Asociación Española de Climatología celebrado en Santiago de Compostela entre el 19 y el 21 de octubre de 2022.[ES]Los bivalvos infaunales Ruditapes decussatus, Ruditapes philippinarum, Venerupis corrugata y Cerastoderma edule forman parte de una de las pesquerías con mayor importancia socioeconómica en las Rías Baixas (NO de España). El calentamiento del océano podría afectar a estas pesquerías ya que el aumento de la temperatura daría lugar a un incremento del estrés al que se ven sometidas estas especies, reduciendo su productividad e incluso propiciando cambios en su distribución geográfica. En este estudio se analizó cómo el aumento de la temperatura del agua podría afectar a la distribución geográfica de las zonas de confort térmico de estos bivalvos a finales del siglo XXI. El modelo Delft3D se utilizó para simular la hidrodinámica de las Rías Baixas durante los meses de julio y agosto del periodo histórico (1990-2019) y el periodo futuro (2075-2099) bajo el escenario RCP8.5. Durante el periodo histórico, las zonas más favorables para especies intermareales como R. decussatus, R. philippinarum y C. edule se observaron principalmente en la parte interior de las rías. Para V. corrugata, las zonas con confort se sitúan en el intermareal inferior y submareal somero. Las proyecciones futuras sugieren un aumento general de la extensión de las zonas con condiciones térmicas óptimas en comparación con el periodo histórico para R. decussatus, C. edule y V. corrugata. En el caso de R. philippinarum, la extensión podría disminuir en el futuro. Por último, la productividad de estas especies podría verse reducida en las áreas de marisqueo situadas en las zonas menos profundas de los sectores interiores de las Rías Baixas debido al aumento de la temperatura del agua.[EN]The infaunal bivalves Ruditapes decussatus, Ruditapes philippinarum, Venerupis corrugata and Cerastoderma edule are part of one of the most socio-economically important shellfisheries in the Rías Baixas (NW Spain). Ocean warming may affect these fisheries as the increase in water temperature would increase the stress conditions these species are subjected to. It could reduce their productivity and even change their geographical distribution. The present study analysed how rising ocean temperatures could affect the geographical distribution of the thermal comfort areas of these bivalves at the end of the 21st century. The Delft3D model was used to simulate the hydrodynamics of the Rías Baixas during the months of July and August of the historical period (1990-2019) and the future period (2075-2099) under the RCP8.5 scenario. Historically, the most comfortable areas for intertidal species such as R. decussatus, R. philippinarum and C. edule are mainly found in the inner part of the rias. For V. corrugata, the comfort zones are located in the lower intertidal and shallow subtidal. Future projections suggest a general increase in the extent of areas with optimal thermal conditions compared to the historical period for R. decussatus, C. edule and V. corrugata and a decrease for R. philippinarum. Finally, the productivity of these species could be reduced in the shellfishing areas located in the shallower areas of the inner sectors of the Rías Baixas due to the increase in water temperature

Applying Parallel and Distributed Models on Bio-Inspired Algorithms via a Clustering Method

In the world of optimization, especially concerning metaheuristics, solving complex problems represented by applying big data and constraint instances can be difficult. This is mainly due to the difficulty of implementing efficient solutions that can solve complex optimization problems in adequate time, which do exist in different industries. Big data has demonstrated its efficiency in solving different concerns in information management. In this paper, an approach based on multiprocessing is proposed wherein clusterization and parallelism are used together to improve the search process of metaheuristics when solving large instances of complex optimization problems, incorporating collaborative elements that enhance the quality of the solution. The proposal deals with machine learning algorithms to improve the segmentation of the search space. Particularly, two different clustering methods belonging to automatic learning techniques, are implemented on bio-inspired algorithms to smartly initialize their solution population, and then organize the resolution from the beginning of the search. The results show that this approach is competitive with other techniques in solving a large set of cases of a well-known NP-hard problem without incorporating too much additional complexity into the metaheuristic algorithms

Contemporary use of cefazolin for MSSA infective endocarditis: analysis of a national prospective cohort

Objectives: This study aimed to assess the real use of cefazolin for methicillin-susceptible Staphylococcus aureus (MSSA) infective endocarditis (IE) in the Spanish National Endocarditis Database (GAMES) and to compare it with antistaphylococcal penicillin (ASP). Methods: Prospective cohort study with retrospective analysis of a cohort of MSSA IE treated with cloxacillin and/or cefazolin. Outcomes assessed were relapse; intra-hospital, overall, and endocarditis-related mortality; and adverse events. Risk of renal toxicity with each treatment was evaluated separately. Results: We included 631 IE episodes caused by MSSA treated with cloxacillin and/or cefazolin. Antibiotic treatment was cloxacillin, cefazolin, or both in 537 (85%), 57 (9%), and 37 (6%) episodes, respectively. Patients treated with cefazolin had significantly higher rates of comorbidities (median Charlson Index 7, P <0.01) and previous renal failure (57.9%, P <0.01). Patients treated with cloxacillin presented higher rates of septic shock (25%, P = 0.033) and new-onset or worsening renal failure (47.3%, P = 0.024) with significantly higher rates of in-hospital mortality (38.5%, P = 0.017). One-year IE-related mortality and rate of relapses were similar between treatment groups. None of the treatments were identified as risk or protective factors. Conclusion: Our results suggest that cefazolin is a valuable option for the treatment of MSSA IE, without differences in 1-year mortality or relapses compared with cloxacillin, and might be considered equally effective