Anne Chao

TL;DR: This work explores methods of quantifying change in biodiversity at different timescales, noting that autocorrelation can be viewed as a feature that sheds light on the underlying structure of temporal change.

TL;DR: Major advantages of the new multinomial classification method are its ability to distinguish habitat generalists from species that are simply too rare to classify and applicability to a single representative sample or a single pooled set of representative samples from each of two habitat types.

TL;DR: This work proposes a new and intuitive two-stage probabilistic approach, which leads to a general framework to simultaneously compare multiple communities based on abundance data, and extends the commonly used Morisita index and NESS index to the case of N communities.

TL;DR: This article reviews various models for both discrete-time and continuous-time closed capture-recapture experiments, and three different approaches that can incorporate dependence into models are reviewed, i.e., ecological models, log-linear models, and the sample-coverage approach.

TL;DR: Solow and Polasky as mentioned in this paper proposed a modified estimator that incorporates a measure of heterogeneity among species abundances, which is statistically justified from a Bayesian approach, although the estimator exhibits moderate negative bias for predicting larger samples in highly heterogeneous communities.