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Statistical methods for estimating species richness of woody regeneration in primary and secondary rain forests of northeastern Costa Rica

TLDR
In this article, the authors compared the performance of various estimation techniques within individual sites as well as across a range of sites differing in successional status and in woody species abundance and spatial distribution.
Abstract
The study of plant communities requires a basic understanding of the abundance, distribution, and number of species present Yet, in obtaining this information, scientists can rarely sample the entire community or area of interest In practice, data from numerous small sub-samples provide a basis for extrapolating to a larger area, Such extrapolating must take into account the well-supported observation that estimates of local species richness depend strongly on the number of individuals and the area sampled (Gleason, 1922; Preston, 1948) Although researchers must rely heavily on extrapolations for many kinds of ecological studies, relatively little attention has been focused on improving the accuracy, applicability, and accessibility of species-richness estimators in vegetation studies, particularly in higly diverse tropical ecosystems If robuts and accurate statistical estimators of species richness that are reasonably insensitive to sample size can be found, they can serve to provide a quantitative basis for identifying conservation priorities, for comparative biogeographic or regional studies, and for assessing long-term changes in species richness Bunge and Fitzpatrick (1993) and Colwell and Coddington (1994) provided a broad overview of statistical approaches for estimating species richness form samples Here, we evaluated the performance of several of these methods in estimating species richness of young woody regeneration in six tropical forest sites We compared the performance of various estimation techniques within individual sites as well as across a range of sites differing in successional status and in woody species abundance and spatial distribution We focused specifically on two size classes of wood regeneration: 1) established seedlings 1m in height, but

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Quantifying biodiversity: procedures and pitfalls in the measurement and comparison of species richness

TL;DR: A series of common pitfalls in quantifying and comparing taxon richness are surveyed, including category‐subcategory ratios (species-to-genus and species-toindividual ratios) and rarefaction methods, which allow for meaningful standardization and comparison of datasets.
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A new statistical approach for assessing similarity of species composition with incidence and abundance data

TL;DR: This work provides a probabilistic derivation for the classic, incidence-based forms of Jaccard and Sorensen indices of compositional similarity and proposes estimators for these indices that include the effect of unseen shared species, based on either (replicated) incidence- or abundancebased sample data.
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Models and estimators linking individual-based and sample-based rarefaction, extrapolation and comparison of assemblages

TL;DR: In this paper, the authors provide new unconditional variance estimators for classical, individual-based rarefaction and for Coleman Rarefaction under two sampling models: sampling-theoretic predictors for the number of species in a larger sample (multinomial model), a larger area (Poisson model) or a larger number of sampling units (Bernoulli product model), based on an estimate of asymptotic species richness.
Journal ArticleDOI

Counting the Uncountable: Statistical Approaches to Estimating Microbial Diversity.

TL;DR: New genetic techniques have revealed extensive microbial diversity that was previously undetected with culture-dependent methods and morphological methods, which have revealed how well a sample reflects a community's “true” diversity.
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Tropical forest recovery: legacies of human impact and natural disturbances

TL;DR: Despite evidence of rapid forest recovery following large-scale deforestation, many degraded areas of today’s tropics will require human assistance to recover forest structure, species composition, and species interactions typical of mature tropical forests.
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