Preface to the Princeton Landmarks in Biology Edition vii Preface xi Symbols Used xiii 1. The Importance of Islands 3 2. Area and Number of Speicies 8 3. Further Explanations of the Area-Diversity Pattern 19 4. The Strategy of Colonization 68 5. Invasibility and the Variable Niche 94 6. Stepping Stones and Biotic Exchange 123 7. Evolutionary Changes Following Colonization 145 8. Prospect 181 Glossary 185 References 193 Index 201

The Theory of Island Biogeography

Statistical method for testing the neutral mutation hypothesis by DNA polymorphism.

Both the magnitude and the urgency of the task of assessing global biodiversity require that we make the most of what we know through the use of estimation and extrapolation. Likewise, future biodiversity inventories need to be designed around the use of effective sampling and estimation procedures, especially for 'hyperdiverse' groups of terrestrial organisms, such as arthropods, nematodes, fungi, and microorganisms. The challenge of estimating patterns of species richness from samples can be separated into (i) the problem of estimating local species richness, and (ii) the problem of estimating the distinctness, or complementarity, of species assemblages. These concepts apply on a wide range of spatial, temporal, and functional scales. Local richness can be estimated by extrapolating species accumulation curves, fitting parametric distributions of relative abundance, or using non-parametric techniques based on the distribution of individuals among species or of species among samples. We present several of these methods and examine their effectiveness for an example data set. We present a simple measure of complementarity, with some biogeographic examples, and outline the difficult problem of estimating complementarity from samples. Finally, we discuss the importance of using 'reference' sites (or sub-sites) to assess the true richness and composition of species assemblages, to measure ecologically significant ratios between unrelated taxa, to measure taxon/sub-taxon (hierarchical) ratios, and to 'calibrate' standardized sampling methods. This information can then be applied to the rapid, approximate assessment of species richness and faunal or floral composition at 'comparative' sites.

Estimating Terrestrial Biodiversity through Extrapolation

Gut microbial composition depends on different dietary habits just as health depends on microbial metabolism, but the association of microbiota with different diets in human populations has not yet been shown. In this work, we compared the fecal microbiota of European children (EU) and that of children from a rural African village of Burkina Faso (BF), where the diet, high in fiber content, is similar to that of early human settlements at the time of the birth of agriculture. By using high-throughput 16S rDNA sequencing and biochemical analyses, we found significant differences in gut microbiota between the two groups. BF children showed a significant enrichment in Bacteroidetes and depletion in Firmicutes (P < 0.001), with a unique abundance of bacteria from the genus Prevotella and Xylanibacter, known to contain a set of bacterial genes for cellulose and xylan hydrolysis, completely lacking in the EU children. In addition, we found significantly more short-chain fatty acids (P < 0.001) in BF than in EU children. Also, Enterobacteriaceae (Shigella and Escherichia) were significantly underrepresented in BF than in EU children (P < 0.05). We hypothesize that gut microbiota coevolved with the polysaccharide-rich diet of BF individuals, allowing them to maximize energy intake from fibers while also protecting them from inflammations and noninfectious colonic diseases. This study investigates and compares human intestinal microbiota from children characterized by a modern western diet and a rural diet, indicating the importance of preserving this treasure of microbial diversity from ancient rural communities worldwide.

/pdf/impact-of-diet-in-shaping-gut-microbiota-revealed-by-a-35b0ym235k.pdf

Impact of diet in shaping gut microbiota revealed by a comparative study in children from Europe and rural Africa

We have applied “whole-genome shotgun sequencing” to microbial populations collected en masse on tangential flow and impact filters from seawater samples collected from the Sargasso Sea near Bermuda. A total of 1.045 billion base pairs of nonredundant sequence was generated, annotated, and analyzed to elucidate the gene content, diversity, and relative abundance of the organisms within these environmental samples. These data are estimated to derive from at least 1800 genomic species based on sequence relatedness, including 148 previously unknown bacterial phylotypes. We have identified over 1.2 million previously unknown genes represented in these samples, including more than 782 new rhodopsin-like photoreceptors. Variation in species present and stoichiometry suggests substantial oceanic microbial diversity. Microorganisms are responsible for most of the biogeochemical cycles that shape the environment of Earth and its oceans. Yet, these organisms are the least well understood on Earth, as the ability to study and understand the metabolic potential of microorganisms has been hampered by the inability to generate pure cultures. Recent studies have begun to explore environ

/pdf/environmental-genome-shotgun-sequencing-of-the-sargasso-sea-43wxijxylr.pdf

Environmental Genome Shotgun Sequencing of the Sargasso Sea

Effects of polymyxin B hemoperfusion on hemodynamics and prognosis in septic shock patients.

Ecological restoration increases conservation of taxonomic and functional beta diversity of woody plants in a tropical fragmented landscape

Capture–recapture methods, originally developed for estimating demographic parameters of animal populations, have been applied to human populations. In epidemiology and health sciences, most surveillance studies and prevalence surveys based on multiple records of incomplete lists are likely to miss some cases, and thus the number of ascertained cases in the final merged list tends to undercount the true size of the target population. Capture–recapture methods can be applied for these types of studies/surveys to provide useful estimators for the size of the target population and adjust for underascertainment. This article describes the history of the method and focuses on population size estimation based on the sample-coverage approach, which also provides measures to quantify the extent of overlapping information and assess the dependences among samples. The R package CARE1 (CApture–REcapture, part 1) is applied to two real examples for illustration. Other models are briefly discussed.


Keywords:

ascertainment data;
dual-record system;
epidemiology;
heterogeneity;
local dependence;
multiple-record systems;
overlapping information;
population size;
sample coverage

/pdf/capture-recapture-for-human-populations-4iv3a96xzs.pdf

Anne Chao

Papers

Effects of polymyxin B hemoperfusion on hemodynamics and prognosis in septic shock patients.

Ecological restoration increases conservation of taxonomic and functional beta diversity of woody plants in a tropical fragmented landscape

Capture-Recapture for Human Populations

Ecosystem turnover in an urbanized subtropical seascape driven by climate and pollution

The admission systemic inflammatory response syndrome predicts outcome in patients undergoing emergency surgery.