Projects / Programmes
Computer system for the evaluation of influences on the aquatic environment.
Code |
Science |
Field |
Subfield |
1.03.02 |
Natural sciences and mathematics |
Biology |
Botany |
Code |
Science |
Field |
B260 |
Biomedical sciences |
Hydrobiology, marine biology, aquatic ecology, limnology |
P170 |
Natural sciences and mathematics |
Computer science, numerical analysis, systems, control |
cyanobacteria, toxins, microcystins, biodiversity, toxic blooms, computer programm, phytoplankton populations, computer model, cluster analysis
Researchers (3)
no. |
Code |
Name and surname |
Research area |
Role |
Period |
No. of publicationsNo. of publications |
1. |
07744 |
PhD Gorazd Kosi |
Biology |
Researcher |
1998 - 1999 |
359 |
2. |
09834 |
PhD Ciril Krušnik |
Biology |
Researcher |
1997 - 1999 |
163 |
3. |
07736 |
PhD Bojan Sedmak |
Biochemistry and molecular biology |
Head |
1998 - 1999 |
232 |
Organisations (1)
no. |
Code |
Research organisation |
City |
Registration number |
No. of publicationsNo. of publications |
1. |
0105 |
National Institute of Biology |
Ljubljana |
5055784 |
13,278 |
Abstract
Blooms of cyanobacteria have been widely reported in enriched freshwater systems and are predicted to further intensify. Blooms appear to be recurrent and predictable with a very high probability of associated toxicities. It has been established that cyanobacterial blooms reduce phytoplankton biodiversity. The presence of toxins additionally decrease the number of species. Our research results enables us to classify certain species as susceptible and others as tolerant to the toxic blooms. With the use of our computer system we can predict the degree of bloom toxicity on the basis of phytoplankton population and vice versa.