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community-ecology-ordination

Analyze species-by-site matrices with ordination, diversity, and clustering methods.

2|Updated Mar 2, 2026
Search Tags:#ecology#diversity#ordination#multivariate#beta-diversity#permanova
One-click install
npx skills add https://github.com/baratadiego/ecological-agent-skills --skill community-ecology-ordination
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: community-ecology-ordination
Source: https://github.com/baratadiego/ecological-agent-skills/tree/main/skills/community-ecology-ordination
Command: npx skills add https://github.com/baratadiego/ecological-agent-skills --skill community-ecology-ordination

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires numpy, pandas, matplotlib, scipy, scikit-bio, and includes scripts (resource) components.

What problem does it solve?

This skill helps researchers analyze and interpret ecological community data by performing multivariate ordination, diversity metrics, beta diversity partitioning, clustering, and hypothesis testing, enabling reproducible interpretation of community structure.

Core Features & Use Cases

  • Ordination (NMDS, PCA/PCoA) to visualize relationships among sites based on species composition.
  • Alpha and beta diversity calculations to quantify within-site richness and between-site turnover.
  • Beta diversity partitioning (turnover and nestedness) and cluster analyses to identify community patterns.
  • Hypothesis testing with PERMANOVA and related dispersion tests to compare groups (e.g., treatments, habitats).
  • Species-contribution methods (SIMPER, IndVal) to identify key species driving differences.
  • Reproducible workflow with data validation, visualizations, and exportable results.

Quick Start

Load the community-ecology-ordination skill and run a Bray-Curtis NMDS ordination followed by alpha and beta diversity analyses on your species-by-site matrix.

Frequently Asked Questions about community-ecology-ordination

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I perform NMDS ordination on a species abundance matrix in Python?▼

NMDS ordination analyzes species-by-site abundance matrices to visualize relationships among sites based on species composition. This skill processes your matrix to generate ordination plots and exportable tables.

What is the best way to calculate beta diversity and partition turnover vs nestedness?▼

Beta diversity partitioning separates between-site species turnover and nestedness to identify community patterns. This skill calculates these metrics from abundance matrices and outputs reproducible tables.

Can I use PERMANOVA to test ecological community differences across treatments?▼

PERMANOVA tests whether community composition differs significantly across treatments or habitats. This skill performs hypothesis testing with PERMANOVA and dispersion tests using site metadata.

How do I identify which species drive differences between habitat groups?▼

Species-contribution methods like SIMPER and IndVal identify key species driving community differences. This skill analyzes abundance data to pinpoint indicator species across site groupings.

Does this ecological ordination workflow work with scikit-bio and pandas dataframes?▼

Yes, this skill uses scikit-bio, pandas, numpy, scipy, and matplotlib to process community data. It recommends compatible R and Python toolchains like vegan and betapart for reproducible analyses.

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