IMEDEA Calendar
 
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Sáb 9th Nov
9:30 am
6:00 pm

Per la Setmana de la Ciència, tornen les minixerrades científiques dins el tren de Sóller. 


Tren de Sóller
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Vie 15th Nov
9:00 am
4:00 pm
Excellence in Action: María de Maeztu Symposium
Sala Seminarios
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Vie 15th Nov
9:30 am
2:00 pm
Sala de Seminarios del IMEDEA
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Mar 19th Nov
10:00 am
1:00 pm
Sala Seminarios IMEDEA
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Vie 22nd Nov
12:00 pm
12:30 pm

 



 



Abstract



Did you know there are winged ghosts in the sea? European Storm-Petrels, often called "sea ghosts," are tiny seabirds that glide unnoticed across the ocean, searching for food. Tagging such small and elusive creatures has been one of the greatest challenges in ecology, but recent advances in GPS miniaturization have finally allowed us to lift the veil on their mysterious journeys. We tracked 39 storm-petrels from four colonies across the Western Mediterranean using GPS devices. By combining tracking data with oceanographic features, we not only uncovered the key areas where these birds prefer to forage, but we also found that these birds are highly selective, favoring waters with specific environmental conditions. Using this knowledge, we created predictive maps of the best foraging spots, revealing crucial hotspots in the Mediterranean. However, many of these areas lack Marine Protected Areas (MPAs), leaving them vulnerable to overfishing and human impacts.


Sala de Seminarios del IMEDEA, Esporles
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Lun 25th Nov
9:00 am
to Vie 29th Nov
4:00 pm
Sala seminario IMEDEA
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Vie 29th Nov
12:00 pm
12:30 pm

 



Abstract



Fish movement plays a crucial role in ecosystem dynamics and has significant implications for the management of species targeted by commercial and recreational fisheries. In this talk, we will present an overview of our research using advanced bio-logging techniques (acoustic telemetry) to study the movement and behaviour of species of commercial and ecological importance in the Balearic Islands. Using high-resolution tracking systems, we have revealed the space use variability and the social structure of an iconic species such as the pearly razorfish (“raor”, Xyrichtys novacula), establishing a fruitful research line on the causes and consequences of fish behaviour. Additionally, through developing a large-scale tracking initiative, the Balearic Tracking Network, we are studying the functioning, effectiveness, and connectivity of the marine protected area network in the region through a multi-species approach. Our findings not only improve our understanding of the drivers of fish behaviour but also provide essential insights for designing effective conservation and management plans in the Balearic Islands.


Sala de Seminarios del IMEDEA, Esporles
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Mié 4th Dic
Sala de Seminarios del IMEDEA
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Jue 12th Dic
12:00 pm
2:00 pm

Abstract



Metabolites are small organic molecules produced during cellular metabolism, and while there are several thousands of them, we are only starting to learn about their importance in the marine environment. I will present how some of them, like the B vitamins, influence the ocean's carbon cycle and phytoplankton and bacterial diversity. I will also show how an untargeted analysis of metabolites in seawater could be used to discover the presence of hundreds of organic compounds, providing previously unknown metabolic information. I will present some of the metabolomics (targeted and untargeted) results obtained at the new Marine Biomolecules laboratory at the IMEDEA in samples collected during two Spanish cruises in the Atlantic Ocean.


Sala de seminarios
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Vie 13th Dic
12:00 pm
12:30 pm

 



Abstract



In the context of global warming, seagrass species exhibit various adaptive responses to rising temperatures, including the migration to deeper (cooler) areas. However, moving to deeper habitats does not only result in reaching lower temperatures, but also to be exposed other critical environmental factors that vary with depth. For instance, light availability decreases with depth, which can impact the metabolism of primary producers, and constrain their depth distribution. Previous research has modelled seagrass distribution based on lethal thermal limits under optimal light conditions. Other studies have projected a future vertical habitat contraction of seagrass meadows assuming similar thermal tolerance across water depth. Nevertheless, the interaction between light and temperature requires further investigation, as they may interact and impact the thermal performance of the organism, including their thermal thresholds, and consequently, their vertical distribution. To investigate this interaction, we conduced mesocosms experiments using the three seagrass species (Cymodocea nodosa, Posidonia oceanica and Zostera noltei) present in the Mediterranean Sea. Thermal performance curves were used to assess the seagrass growth, survival and metabolic rates at varying light intensity, which was used as a proxy for depth. Understanding the interaction between environmental factors, such as light intensity and temperature, on performance and thermal thresholds is crucial for enhancing predictions regarding vertical distribution of species and developing effective conservation strategies for marine ecosystems under climate change scenarios.


Sala de Seminarios del IMEDEA, Esporles
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Vie 20th Dic
10:30 am
12:30 pm
Sala de seminarios
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Jue 16th Ene
9:00 am
3:30 pm
IV Think Tank científico IMEDEA "Invasoras en Baleares"
Casa Esment
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Vie 17th Ene
12:00 pm
12:30 pm



Abstract



Subsurface uncertainty poses a serious difficulty in deploying geo-energy applications, owing to its complexity and our limited access to it. Reducing such uncertainty is essential to enhance the reliability of simulation results that define safe operating conditions. Ground deformation analysis is capable of contributing to reducing subsurface uncertainty. For example, a double-lobe ground deformation shape revealed a vertical fault zone at depth in the CO2 storage project at In Salah, Algeria. The aim of this work is to outline a process for reducing subsurface uncertainty by correlating subsurface characteristics with ground deformation data. The workflow begins with training of a supervised gradient boosting-based machine learning regression model that predicts ground deformation caused by reservoir pressurization.  We utilize a verified analytical solution (Wu, Rutqvist, and Vilarrasa, 2024) to assess ground displacement in response to pressurization of a reservoir intersected by either an impermeable or permeable fault to train the machine learning model. The instantaneous solution provided by the analytical solution enables us to generate an extensive dataset for training the model, encompassing fault and reservoir geometry as well as mechanical properties and operation conditions, i.e., reservoir pressurization. Simultaneously, principal component analysis and a simplified parametric space analysis are also performed. The results indicate that the pore pressure buildup and reservoir depth have the most significant impact on ground displacement. This study highlights that an appropriately trained machine learning model can effectively predict ground deformation and provide valuable information about the corresponding subsurface characteristics.


Sala de Seminarios del IMEDEA, Esporles
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