1. #WBTC1 #EvoBeh2 Bat #acoustic monitoring is fantastic and has led to species discoveries worldwide. But often we are faced with trying to classify #sonograms that look like this
. Can you guess what common widespread European species are recorded here?
#echolocation


2. #WBTC1 #EvoBeh2 Echolocation keys point to 2 cryptic species here.
But is it that simple?
Why is it that in 20 years of extensive bat monitoring in #EbroDelta acoustic surveys suggest presence of both pipistrelles, yet Ppip has never been confirmed?
But is it that simple?

Why is it that in 20 years of extensive bat monitoring in #EbroDelta acoustic surveys suggest presence of both pipistrelles, yet Ppip has never been confirmed?


3. #WBTC1 #EvoBeh2! We used DNA high-throughput barcoding
, intensive trapping, roost checks (of 400+ #batboxes and buildings), emergence surveys & passive detectors across the delta to test who was emitting the lower freq calls?
a) Pppip or b) Ppyg w/ echolocation plasticity


4. #WBTC1 #EvoBeh2 There were all Ppyg! Emerging Ppyg (confirmed by
) echolocated with FME as low as 44kHz (lower than ever reported
), w/ 29% of calls in the FME range of Ppip
! 3 variables significantly affected FME plasticity: habitat, bat density, and bat rearing stage



5. #WBTC1 #EvoBeh2 Takeaway
: ID classification can fail to account for echolocation plasticity. We add to a growing list of literature highlighting the behavioural and ecological extents of this #plasticity – with important implications for bat monitoring efforts. More soon

