Data from: Predicting forest insect flight activity: a Bayesian network approach
Stephen M. Pawson, Owen G. Woodberry & Bruce G. Marcot
Daily flight activity patterns of forest insects are influenced by temporal and meteorological conditions. Temperature and time of day are frequently cited as key drivers of activity; however, complex interactions between multiple contributing factors have also been proposed. Here, we report individual Bayesian network models to assess the probability of flight activity of three exotic insects, Hylurgus ligniperda, Hylastes ater, and Arhopalus ferus in a managed plantation forest context. Models were built from 7,144 individual...
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22 downloads reported since publication in 2018.
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COUNTER Code of Practice,
meaning that Internet robots and repeats within a certain time frame are excluded.
What does this mean?