Can machine learning be used for accurate species identification of beetles and other invertebrates? Researchers using carabid beetle data from the National Ecological Observatory Network created an algorithm that reached 85 percent accuracy on unidentified images. Eventually, they hope machine learning could one day be used to classify unidentified species in NEON bycatch and answer new questions about invertebrate diversity and abundance across North America.
The research director of a busy mosquito control district reports on the scientific discoveries made over years of examining bycatch in mosquito surveillance traps—and makes the case for bycatch as an underutilized resource with the potential to fill knowledge gaps that impede invertebrate conservation efforts.
Sticky traps used to monitor orchards for the Asian citrus psyllid often catch an array of larger non-target organisms. But a thin layer of mesh fabric—the same kind used in bridal veils and ballet tutus—makes an effective screen to eliminate most bycatch while still catching the target pests.