Lytle Lab research
Disturbance
regimes and life history evolution
Disturbance
events such as flood, drought, fire, and disease outbreaks are powerful forces
that can shape both the ecology and evolution of organisms. Flash floods are an
extreme example of disturbance – in some desert streams flash floods remove
over 95% of aquatic insect larvae. The giant water
bug Abedus herberti
has evolved a strategy for escaping flash floods: they sense the rainfall that
often precedes floods and use this as a cue to temporarily abandon streams.
Using mtDNA sequences, we have identified over 30
distinct populations of Abedus herberti across the
Insect
identification using pattern recognition technology
Insects are overwhelmingly diverse. While the need to identify insects (for environmental monitoring, agricultural needs, biodiversity surveys) is on the increase, the prohibitive amount of time and expertise required to identify insect samples is the bottleneck that limits data collection. As part of an NSF-funded collaboration among computer scientists, engineers, and entomologists at OSU, we are developing pattern recognition algorithms for computer-aided insect identification. Using stoneflies and soil mites as test cases, we are building a digital image library from known specimens. Statistical algorithms will use this image library to identify new specimens. Rather than replace the need for traditional insect taxonomy, these methods should facilitate the use of insects for ecological monitoring.
The
Madrean Sky Islands Bioregion (MSI) of the
southwestern
River management using prescribed flow regimes
