Environmental
conditions
Insects
and other arthropods respond to environmental conditions such as rainfall
and temperature. Cerain species such as chinch bugs and grass hoppers
are favored by hot, dry weather patterns while others such as mosquitoes
are favored by wet conditions. Collecting efforts during these favorable
periods will assure a higher probability of success.
Seasonality,
phenology and degree day models
Insects
and their relatives are cold-blooded animals with simple to complicated
life cycles. Developmental rates are dependent upon temperature conditions
through with development occurs, with higher optimum temperatures speeding
up development. Depending on species, development can take days (e.g.,
aphids) to years (e.g. periodical cicada). Certain developmental stages,
such as adults, often occur during specific parts of the year. Knowing
when to search for insect developmental stages (i.e., being there at
the right time) is critical knowledge for the collector.
One way
to predict insect occurrence is by calendar dates when
species have occurred historically. This information can often be obtained
from colleagues, field notes or by visiting insect collections and
studying collection data provided on specimen labels. More specifically,
some insects are active only during certain times of the day. Those
active during daylight like butterflies are said to have diurnal activity.
Those active only at night, such as most species of moths, are nocturnal.
Some insects such as mosquitoes are mostly active at dusk or dawn.
This activity pattern is called crepuscular.
Because
developmental times of both plants and arthropods are driven by temperature
conditions, biologists and entomologists have made an attempt to correlate
visible events such as the flowering of certain plants to the occurrence
of certain stages of insects and their relatives. This field of study
is called phenology. In Texas, few correlations have
been made to date. This is an area where valuable contributions by
amateur collectors and naturalists can be made by collecting and recording
field observations. Such information is valueable when trying to manage
arthropod pests such as scale insects, using information correlating
the hatching of eggs into crawler stages related to flowering ornamental
plants to time insecticide applications.
Computer
scientists have developed software models that uses minimum and maximum
daily temperatures available from meteorologists to mathematically
predict the occurrence of specific insects, particularly pest insects.
These models are called Degree Day Models (sometimes
also called heat unit models or phenology models with slight differences
in definition). In practice, however, the computer predicted events
require confirmation by field observations to assure that any control
tactics made are justified by actual pest occurrence.
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