INFLUENCE OF CLIMATE CHANGE ON DIATOMS DIVERSITY INDICES IN LAKE PRESPA
INFLUENCE OF CLIMATE CHANGE ON DIATOMS DIVERSITY INDICES IN LAKE PRESPA

Summary/Abstract: Applying machine learning techniques into ecology have proven to be useful into obtaining knowledge for certain problems. Using these diversity indices (DIs) it will be very useful to model the specific diatom communities which are known to exist only in definite environmental conditions. This property is used to model the abiotic environment influence on diatoms. Using the diatom relative abundances into account, a diversity index depends not only on species richness but also on the evenness, or equitability, with which individuals are distributed among the different species. Diversity indices provide important information about rarity and commonness of species in a community. The ability to quantify diversity in this way is an important tool for biologists trying to understand community structure (River diatoms: a multiaccess key). Understanding how these indexes interact with physical-chemical parameters of the given environment is very useful to know. Parameters like temperature, dissolved oxygen, pH, ammonia and others are one of the few that are vital for diatom survival (Reynolds. C. S., 1998). This is why we build models to see how diatoms diversity indices response on the changes of these parameters.

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