Verifying Small Sample Bootstrap Estimates of Species Interactions
Qualms about bootstrap confidence intervals have led to the development of new techniques with the added complexities of bias estimation and acceleration constants. These complications make the current theory appear almost Ptolemaic to the uninformed. Furthermore, bootstrap estimates based on small samples must be interpreted with caution. It seems prudent and advisable to look at other analyses to, at least partially, verify bootstrap results in small samples. Here, we analyze using the bootstrap and traditional nonparametric and parametric tests the results of a small scale perturbation experiment in ecological research to assess the importance of the interspecific interactions of competition, prédation, and mutualism.
KeywordsSpecies Interaction Washout Rate Interspecific Interaction Bootstrap Estimate Bootstrap Confidence Interval
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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