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Dv 7th juny
12:00 pm
12:30 pm

Abstract



The Southwestern Atlantic Ocean (SWA), is considered one of the most productive areas of the world, with a high abundance of ecologically and economically important fish species. Yet, the biological responses of this complex region to climate variability are still uncertain. Using 24 years of satellite-derived Chl-a data, the SWA was classified into 9 spatially coherent regions based on the temporal variability of Chl-a concentration, as revealed by SOM (Self-Organizing Maps) analysis. These biogeographical regions were the basis of a regional trend analysis in phytoplankton biomass, phenological indices, and environmental forcing variations. A general positive trend in phytoplankton concentration was observed, especially in the highly productive areas of the northern shelf-break, where phytoplankton biomass has increased at a rate of up to 0.42 ± 0.04 mg m −3 per decade. Significant positive trends in sea surface temperature were observed in 4 of the 9 regions (0.08–0.26 °C decade −1) and shoaling of the mixing layer depth in 5 of the 9 regions (−1.50 to −3.36 m decade −1). In addition to the generally positive trend in Chl-a, the most conspicuous change in the phytoplankton temporal patterns in the SWA is a delay in the autumn bloom (between 15 ± 3 and 24 ± 6 days decade −1, depending on the region). The observed variations in phytoplankton phenology could be attributed to climate-induced ocean warming and extended stratification period. The provided results further evidence of the impact of climate change on these highly productive waters.


Sala de Seminarios del IMEDEA, Esporles
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Dl 10th juny
10:00 am
11:30 am
Seminar “Understanding the network structure of ecosystems to guide conservation action”
Sala Seminarios
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Dv 14th juny
12:00 pm
12:30 pm



Abstract



CyberTracker is a non-profit organization which develops free field data collection software. While Cybertracker software is free of charge, easy to use by a broad range of users due to its simplicity and provides multiple advantages for field data collection in comparison to a manual approach, it is still widely unknown and rarely used. During this talk, I will introduce the software, explain its advantages and applications, the types of hardware available, provide some personal examples of the application during my research and introduce its functioning. Hopefully, the talk will serve for the attendees to understand its potential and consider using this powerful tool that has made my field data collection much easier and efficient and has also improved the quality of the data recorded.


Sala de Seminarios del IMEDEA, Esporles
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