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mervyn-davis
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Behaviour etc
• nervous system
• sensory apparatus
• integration
• behaviour - processes and function
Nervous system
• insect nerve cells are complex
• insect nerve cells have highest metabolic rate of any known tissue
• insect nerve cells respond faster than ours (small size of ‘brain’)
• insect nerve cells can’t send long range pulses quickly
• insect nerve cells don’t have redundancy
organisation
• 2 ventral nerve chords + segmental ganglia
• CNS primitively ‘ladder’
• CNS has tendency to become fused
• ‘brain’ = supra- + suboesophageal ganglia
sense organs• mainly setae … many kinds of sensory
setae
• mechanosensory, chemosensory etc
• campaniform - cuticular stress
• placoid - chemoreception
• chordotonal organs - limb position
• equilibrium sensors (e.g. Johnson’s organ
vision
• ocelli
• stemmata
• compound eyes
• ocelli - late instar hemimetabolous insects, adult insects … fast response, some may detect images. Used in horizon detection, flight control
• stemmata - larvae of holometabolous insects. Largely light/dark detectors, limited image formation
• compound eyes - larvae of hemimetabolous insects, adult insects. Used to detect images
ommatidia organisation
• corneal lens
• crystaline cone - feeds light into rhabdomeres
• rhodopsins oriented in villi of rhabdomeres
• 3 colour (sometimes 4 colour) vision
• UV/blue/green, sometimes red
• detector cells twist, short (UV) cell detects polarization
apposition compound eyes
• commonest form in insects operating in daylight
• each ommatidium provides information from a narrow solid angle about its axis
• axes not oriented radially, some areas densely sampled by ommatidia arranged almost parallel (fovea)
• complex neural circuitry combines information from adjacent ommatidia
superposition compound eyes
• mainly nocturnal insects (& (modified) in butterflies)
• lens systems of many ommatidia act as little telescopes and generate an erect image on the ‘retina’ (made up of the packed detector elements of many ommatidia)
• eyes have a ‘clear space’ and produce ‘eye-shine’
• resolution not quite as good as apposition eye, light collection ~10-100x better
muscid eyes
• only found in muscoid flies (houseflies, blowflies, tachinids etc)
• apposition eyes BUT detector elements don’t twist AND detector elements from adjacent ommatidia that are ‘looking’ in the same direction are hooked up through a complex nerve mesh
• good light detection capability, good resolution• associated with need to collect photons to
compensate for effects of rapid turning flight
vision
• extensive neural processing in optic lobe,feature detection circuits similar to ours
• motion detection
• image detection
• speed of processing (flies have flicker-fusion thresholds > 5 x ours)
• insect vision is a field of very active research – and ANU is a world leader
• we now know insects are MUCH more capable than was thought the case even 10 years ago
• emulation of insect vision is proving a fertile field in robotic vision
• other insect senses are likely to prove equally ‘impressive’
behaviour
• navigation
• behaviour/ecology– development– maintenance– mating systems
navigation
• use of vision– landmarks … wasp, bee first flights– use of sun compass– use of polarization pattern if sun not visible– time clock to compensate for sun’s
apparent movement
• other senses - chemical, remembering steps
use of landmarks
• originally investigated in sphecid wasps• Philanthus work - Tinbergen• use of landmarks
– availability– kinds preferred– hierarchy of landmarks used at different
scales– hierarchy of ‘backups’ remembered
sun compass
• use position of sun in sky to navigate
• time clock to compensate for sun’s apparent movement (even overnight!)
• enables flight over long ranges or uniform habitat (ranges of kms)
• use of polarization pattern in small patches of clear sky if sun not visible
other senses
• chemical gradients
• magnetic sense
• remembering steps
• REAL navigation almost always involves a hierarchy of different senses, with backups
behaviour and ecology
• behaviour is a key process underlying ecology
• example we will take: ‘dragonfly life history’(will bounce around a range of species)
larval stages
• Diphlebia is the concrete example
• females lay eggs in rotten wood floating in pools
• micro-habitat of earliest larval stages unknown
• later stages occur under rocks in riffles
• emerge at night to hunt prey on rocks
adult maintenance
• thermoregulation– conformers– heliothermy– myothermy
• feeding– prey detection– interception
mating systems
• e.g. dragonflies (very well studied)
• ‘rendezvous’, operational sex ratio
• male behaviour
• sperm competition
• female responses to limit interference
• mating in dragonflies requires female action … males can hold on to encourage - but may lose opportunities
sperm competition
• Insects preadapted for strong sperm competition - sperm stored, only a few used per egg, eggs fertilized at laying
• displacement or extraction of previous sperm
• mate guarding to prevent take over by another male (with consequent loss of stored sperm)
exercise
• examination of dragonfly mating systems
References
• Physiology: Imms ‘Outlines of entomology’ as revised …CSIRO ‘Insects of Australia’
• Behaviour: navigation, mating systems/sperm competitionAlcock ‘Animal behavior: an evolutionary approach’
• dragonflies: Corbet ‘Dragonflies: behavior and ecology of Odonata’