Speaker
Description
What goes up doesn’t necessarily come down. No insects are born in the air but many ends their lives in bellies of predators. Over breeding sites this imbalance would be exaggerated and during invasions the flux could be reversed. Our group currently develops lidar tools for online in situ biodiversity assessment. We can detect hundreds of thousands of insects per day and differentiating hundreds of intrinsic oscillatory signal types by an unsupervised clustering criterion. Proving that clusters indeed represent different species and sexes is, however, complicated, laborious and costly. One concept in biology states that species must have different niches, functions and behave differently to coexist. We previously investigated how clusters differs in daily activity patterns. We now found multiple complimentary temporal asymmetries in our signals reflecting accent and decent rates during the day. We present imbalances and investigate to what extent these rates and imbalances are cluster specific and can further support our biodiversity criterion.
