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Research being attacked by fruit fly , and the probability that larvae will successfully develop inside .
Model behaviour
The model now taking shape brings together information on habitat suitability , long distance dispersal pressure , management effectiveness , seasonal fly abundance , host quality , climate , fly activity and a host of other behavioral characteristics . The model will be linked to relevant spatial ( landscape ) data to produce regional maps of areas at risk .
Later this year the modellers will visit different regions to see how well the predictions fit with regional knowledge and experience . Adjustments can be made and / or field tests conducted to verify where and when flies are most likely to occur in the landscape . Risk maps will then be generated to identify potential hot spots .
It will help regional communities conduct effective area wide management programs , make informed decisions , and stay one step ahead of the flies .
The first regions that maps will be generated for will be in southern Australia .
Developing such habitat suitability and risk models for Qfly in different regions will help us understand where the flies are most likely hiding in the landscape and , therefore , where to focus control measures .
It will help regional communities conduct effective area wide management programs , make informed decisions , and stay one step ahead of the flies .
For more information please contact : Dr Penny Measham , Area Wide Management Coordinator , SITplus at Horticulture Innovation Australia penny . measham @ horticulture . com . au | P : 0417 525 904
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summerfruit . com . au august 2016 | Australian Stonefruit Grower 35