[HTML][HTML] First release of the Pelagic Size Structure database: global datasets of marine size spectra obtained from plankton imaging devices
In marine ecosystems, most physiological, ecological, or physical processes are size
dependent. These include metabolic rates, the uptake of carbon and other nutrients …
dependent. These include metabolic rates, the uptake of carbon and other nutrients …
Interannual and seasonal variability of the air–sea CO exchange at Utö in the coastal region of the Baltic Sea
M Honkanen, M Aurela, J Hatakka, L Haraguchi… - …, 2024 - bg.copernicus.org
Oceans alleviate the accumulation of atmospheric CO 2 by absorbing approximately a
quarter of all anthropogenic emissions. In the deep oceans, carbon uptake is dominated by …
quarter of all anthropogenic emissions. In the deep oceans, carbon uptake is dominated by …
Survey of automatic plankton image recognition: challenges, existing solutions and future perspectives
T Eerola, D Batrakhanov, NV Barazandeh… - Artificial Intelligence …, 2024 - Springer
Planktonic organisms including phyto-, zoo-, and mixoplankton are key components of
aquatic ecosystems and respond quickly to changes in the environment, therefore their …
aquatic ecosystems and respond quickly to changes in the environment, therefore their …
Shipping and algae emissions have a major impact on ambient air mixing ratios of non-methane hydrocarbons (NMHCs) and methanethiol on Utö Island in the Baltic …
The mixing ratios of highly volatile organic compounds (VOCs) were studied on Utö Island in
the Baltic Sea. Measurements of non-methane hydrocarbons (NMHCs) and methanethiol …
the Baltic Sea. Measurements of non-methane hydrocarbons (NMHCs) and methanethiol …
Innovative and practical tools for monitoring and assessing biodiversity status and impacts of multiple human pressures in marine systems
Human activities at sea can produce pressures and cumulative effects on ecosystem
components that need to be monitored and assessed in a cost-effective manner. Five …
components that need to be monitored and assessed in a cost-effective manner. Five …
Tracking the frequency of phytoplankton clonal lineages using multispectral image flow cytometry and neural networks
RJ Hermann, L Becks - Methods in Ecology and Evolution, 2024 - Wiley Online Library
Testing fundamental theories of diversity and evolutionary change often requires tracking
the frequencies of clonal lineages within a population over time. Current tracking methods in …
the frequencies of clonal lineages within a population over time. Current tracking methods in …
Harmful Cyanobacterial Blooms: Going beyond the “Green” to Monitor and Predict HCBs
DR de Figueiredo - Hydrobiology, 2024 - mdpi.com
Under the Climate Change scenario, the occurrence of Harmful Cyanobacterial Blooms
(HCBs) is an increasingly concerning problem. Particularly for inland freshwaters, that have …
(HCBs) is an increasingly concerning problem. Particularly for inland freshwaters, that have …
Robust detection of marine life with label-free image feature learning and probability calibration
Advances in in situ marine life imaging have significantly increased the size and quality of
available datasets, but automatic image analysis has not kept pace. Machine learning has …
available datasets, but automatic image analysis has not kept pace. Machine learning has …
Toward phytoplankton parasite detection using autoencoders
Phytoplankton parasites are largely understudied microbial components with a potentially
significant ecological influence on phytoplankton bloom dynamics. To better understand the …
significant ecological influence on phytoplankton bloom dynamics. To better understand the …
Resolving phytoplankton pigments from spectral images using convolutional neural networks
Motivated by the need for rapid and robust monitoring of phytoplankton in inland waters, this
article introduces a protocol based on a mobile spectral imager for assessing phytoplankton …
article introduces a protocol based on a mobile spectral imager for assessing phytoplankton …