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One study assessed the effect of range of motion.
The effect of range of the parameters to construct prior probability density function on the efficiency of the method is also discussed.
Despite a relatively large dataset (435 threatened versus 2,059 non-threatened species), geographic range alone still explained nearly half of deviance in threat risk (percentage deviance explained [%DE] = 45%), but there was little evidence for a nonlinear (quadratic) effect of range on threat risk as reported by Cooper et al. [8] (Table 1a).
Generally agreeing with the IUCN threat status results, small geographic range and large body size were still correlated with a higher likelihood of population decline (Table 2; Fig. 1), but there was also evidence for a nonlinear (quadratic) effect of range (Table 2).
A potential difference in the effect of range between years or between seasons was also investigated (two-way interactions between range and year and between range and season).
For both the lake and mesocosm experiments, we used Cox Proportional Hazards Models to test the effect of range on YOY survival.
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The effects of range cuts for electrons at 0.5 μm, 1 μm, 10 μm, and 100 μm were evaluated.
The effects of assumed CO2 and threshold were small relative to the effects of range size and latitude (Fig. 1).
The effect size of the correlation, however, almost reached significance (0.067), but no effects of range size on clade diversification could be detected.
The Cox model [ 14] was used for evaluating effects of range of hip motion on the risk of developing MP > 33% or > 40%.
We used a 2 × 2 × 2 factorial design to examine the effects of range, predators, and food quality on the growth rate, survival, and behavior of rusty crayfish.
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Justyna Jupowicz-Kozak
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