e-learning

Life Traits Ecoregionalization workflow

Abstract

This tutorial is designed to guide you through the Ecoregionalization Galaxy workflow, demonstrating how to create a life traits ecoregionalization map from occurrences and environmental data using a boosted regression tree model for predictions.

About This Material

This is a Hands-on Tutorial from the GTN which is usable either for individual self-study, or as a teaching material in a classroom.

Questions this will address

  • How to use the life traits ecoregionalization?
  • How to construct ecoregions from occurrences species data and environmental data?

Learning Objectives

  • Learning how to use the ecoregionalization workflow.
  • Learning how to collect life traits informations from marine species occurences.
  • Learning about boosted regression trees algorithm.
  • Learning about Silhouette index and select an appropriate number of clusters.
  • Learning about Clara clustering algorithm (PAM for large datasets)objectives.
  • Create an ecoregionalization map from life traits data.

Licence: Creative Commons Attribution 4.0 International

Keywords: Ecology, biodiversity

Target audience: Students

Resource type: e-learning

Version: 3

Status: Active

Prerequisites:

Introduction to Galaxy Analyses

Learning objectives:

  • Learning how to use the ecoregionalization workflow.
  • Learning how to collect life traits informations from marine species occurences.
  • Learning about boosted regression trees algorithm.
  • Learning about Silhouette index and select an appropriate number of clusters.
  • Learning about Clara clustering algorithm (PAM for large datasets)objectives.
  • Create an ecoregionalization map from life traits data.

Date modified: 2025-06-10

Date published: 2025-06-02

Authors: Jean Le Cras, Pauline Seguineau, Yvan Le Bras

Contributors: Björn Grüning, Jean Le Cras, Yvan Le Bras

Scientific topics: Ecology

External resources:

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