Inferring Ecological Networks From Species Abundance Data

Mapping the ecological networks of microbial communities from steady-state data

Microbes form complex and dynamic ecosystems that play key roles in the health of the animals and plants with which they are associated. The inter-species interactions are often represented by a directed, signed and weighted ecological network, where nodes represent microbial species and edges represent ecological interactions. Inferring the underlying ecological networks of microbial communiti...

Inferring species interaction networks from species abundance data: A comparative evaluation of various statistical and machine learning methods Supplementary Material

شکست تصادفی آشیان اکولوژیک گونه‌های گیاهی مراتع در اثر چرای حیوانات (مطالعۀ موردی: شهرستان بروجن، استان چهارمحال بختیاری)

Species relative abundance have closely related to ecological niche of plant communities. The broader specie ecological niche for food sources the greater relative abundance of plant species. Species abundance distributions models can be are divided into two groups Statistical and biological models. In this study we aimed to investigate how animal grazing (Long time grazing exclusion, Grazing a...

Identifying Keystone Species in the Human Gut Microbiome from Metagenomic Timeseries Using Sparse Linear Regression

Human associated microbial communities exert tremendous influence over human health and disease. With modern metagenomic sequencing methods it is now possible to follow the relative abundance of microbes in a community over time. These microbial communities exhibit rich ecological dynamics and an important goal of microbial ecology is to infer the ecological interactions between species directl...

Inferring species interaction networks from species abundance data: A comparative evaluation of various statistical and machine learning methods

The complexity of ecosystems is staggering, with hundreds or thousands of species interacting in a number of ways from competition and predation to facilitation and mutualism. Understanding the networks that form the systems is of growing importance, e.g. to understand how species will respond to climate change, or to predict potential knock-on effects of a biological control agent. In recent y...