Robust estimation of parasite component community richness.

Area of Science:

• Ecology
• Parasitology
• Statistical Ecology

Background:

• Accurate estimation of species richness is crucial in ecological and parasitological studies.
• Nonparametric estimators like bootstrap (S(B)) and kth-order jackknife (S(Jk)) are commonly used.
• Previous comparisons favored S(B) but did not include S(Jk).

Purpose of the Study:

• To compare the performance of the bootstrap (S(B)) and kth-order jackknife (S(Jk)) estimators of species richness.
• To evaluate the bias and robustness of these estimators using simulated parasite communities.

Main Methods:

• Simulation of parasite communities with varying parameters.
• Performance evaluation of S(B) and S(Jk) estimators based on simulated data.
• Comparison of bias and sensitivity to community parameters between the two estimators.

Main Results:

• The kth-order jackknife (S(Jk)) was found to be the least biased estimator.
• The bias of S(B) was significantly influenced by true species richness and the proportion of rare species.
• The bias of S(Jk) demonstrated relative insensitivity to changes in these community parameters.

Conclusions:

• The kth-order jackknife (S(Jk)) is recommended as a robust estimator of species richness.
• S(Jk) offers a more reliable estimation of species richness compared to S(B) due to its lower and more stable bias.
• This finding has implications for ecological surveys and biodiversity assessments.