PRIMER

Page history last edited by Anonymous 1 yr ago

 

PRIMER – Multivariate Statistics for Ecologists

Summary

Type of tool

Application

Function

Statistical analysis of species abundance

Online / Desktop

Desktop

Computer infrastructure

Windows, .NET

Development status

Commercial. Version 6

Time of use

After data is with user

Licence

Single user

PRIMER 6 is a collection of specialist routines for analysing species or sample abundance.1

 

Description

PRIMER 6 (Plymouth Routines In Multivariate Ecological Research) consists of a wide range of univariate, graphical and multivariate routines for analysing the species/samples abundance (or biomass) matrices that arise in biological monitoring of environmental impact and more fundamental studies in community ecology, together with associated physico-chemical data.The methods make few, if any, assumptions about the form of the data2

PRIMER 6 multi-dimensional scaling.3

 

The basic routines of the package cover:

  • hierarchical clustering into sample (or species) groups (CLUSTER);
  • ordination by non-metric multidimensional scaling (MDS) and principal components (PCA) to summarise patterns in species composition and environmental variables;
  • permutation-based hypothesis testing (ANOSIM), an analogue of univariate ANOVA which tests for differences between groups of (multivariate) samples from different times, locations, experimental treatments etc;
  • identifying the species primarily providing the discrimination between two observed sample clusters (SIMPER);
  • the linking of multivariate biotic patterns to suites of environmental variables (BEST);
  • comparative (Mantel-type) tests on similarity matrices (RELATE);
  • standard diversity indices;
  • dominance plots;
  • species abundance distributions;
  • aggregation of arrays to allow data analysis at higher taxonomic levels, etc.

 

A further unique feature of PRIMER 6 is the ability to calculate biodiversity indices based on the taxonomic distinctness or relatedness of the species making up a quantitative sample or species list, indices whose statistical properties are robust to variations in sampling effort. These routines allow formal hypothesis tests for change in biodiversity structure at a location (as measured by average and variation in taxonomic 'breadth' of the species list), from that 'expected' from a larger, regional species pool. It provides a possible way of comparing biodiversity patterns over wide space and time scales, when sampling effort is not controlled.4

 

Function

  • Analysis tools
  • User interface
    • Personal use
    • Visual presentation

 

Why use this tool?

  • Analysis of species abundance

 

Who will use this tool?

  • Data users
    • Expert
  • Special skills are required

 

How will the tool be used?

  • Desktop application
  • Windows .NET environment
  • User input required

 

Where in the data chain could this tool be used?

  • User’s machine

 

When could this tool be used?

  • As a post process, after data is with the user

 

Availability

 

Comments

 

 


Comments (0)

You don't have permission to comment on this page.