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Our study has shown that these data can be highly informative of population trend, and when calibrated with actual population estimates, also provide useful estimates of abundance.
Physiological models are incorporated into several accurate wheat simulation models that can predict anthesis when calibrated with appropriate observed data.
When calibrated with the input of the first in vitro measurement, the mean absolute error was 0.95 g/dl.
When calibrated with catalase, they are 114 nm long, which equals 33-34 mm at a magnification of x300,000 [ 12].
Although older estimates were obtained when calibrated with recent nodes, these outlying values are likely due to stochastic error associated with using shallowly placed nodes for deep extrapolations [ 26, 27].
Our results show that transferability of neighborhood-specific LUR models of hourly PNC was limited, but that a general model performed acceptably in multiple areas when calibrated with local data.
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These local solutions can lead to a bad fit when calibrating with a model.
Our observation of increased variance when calibrating with unadjusted sampling dates prompted us to re-estimate the age of the 1977 re-emergent lineage using a dataset free of sequences with biologically unrealistic sampling dates.
When calibrated by comparison with detailed, independently compiled landslide inventory maps, our algorithms correctly classify an average of 82% of the terrain in our five study areas.
Under these conditions, the system exhibited a detection limit of 0.15 μM, reproducibility of 1.95 % RSD (n=9) and a linear response (r2=0.9992) when calibrated in the field with standards in the range 0.81 3.23 μM.
When calibrated, a series of caps with increasing number of perforations enables the operator to maintain a pre-set flow rate; this has proven to be much more practical than adjusting the valves.
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