*Unlock the Power of Marine Mammal Community Data:Multivariate Analysis of
Ecological Communities Using VEGAN*

https://prstats.org/course/multivariate-analysis-of-ecological-communities-using-vegan-vgnr08/

Marine ecosystems are complex, dynamic, and species-rich—yet challenging to
analyse due to patchy detections, wide-ranging movements, variable survey
effort, and multi-species interactions. Whether you work on cetacean
community structure, pinniped foraging assemblages, acoustic species
guilds, or broad-scale biodiversity responses to environmental change,
robust multivariate tools are essential.

This five-day live online course provides a comprehensive, applied
introduction to multivariate analysis using the widely adopted R package
*vegan*, with direct relevance to the types of community-level data common
in marine mammal science.
------------------------------
What the course covers

*Handling ecological community data*
Learn how to prepare species-by-site matrices, manage heterogeneous survey
data, transform variables, and compute distance measures suited to acoustic
detections, transect data, or encounter rates.

*Diversity indices and community metrics*
Compute and interpret measures such as richness, Shannon diversity,
evenness, and species-abundance distributions—useful for assessing
community shifts in response to climate, noise, fishing pressure, or
habitat change.

*Clustering, classification, and ordination*
Master PCA, NMDS, RDA, CCA and other techniques to explore patterns in
multi-species occurrence data, identify community guilds, detect spatial
structure, and quantify ecological gradients in marine systems.

*Environmental drivers and gradients*
Integrate predictors such as oceanography, bathymetry, prey indices,
anthropogenic disturbance, or temporal trends to uncover relationships
between marine mammal communities and their environments.

*Reproducible analysis workflows in R*
Build transparent, publication-ready scripts for analysis, visualisation,
and interpretation, enabling consistent workflows across projects and teams.
------------------------------
Why this matters for marine mammal research

Marine mammal datasets are often high-dimensional, sparse, and strongly
influenced by environmental gradients. This course equips you to:

   -

   Identify ecological structure in multi-species detection data
   -

   Quantify shifts in community composition across space, seasons, or
   environmental conditions
   -

   Analyse acoustic or visual survey data at a community level
   -

   Detect species assemblages, guilds, or habitat associations
   -

   Build robust, defensible workflows for conservation and management
   reporting
   -

   Produce ordination and diversity outputs widely used in ecological
   publications and marine monitoring programmes

>From broad-scale biodiversity assessments to targeted multi-species
studies, the tools taught in this course help you make sense of complex
marine ecological data.
------------------------------
Who should attend

Ideal for marine mammal ecologists, conservation practitioners,
environmental consultants, MSc/PhD students, and data analysts working with
community-level datasets. A basic understanding of R is recommended,
including data import, manipulation, and foundational statistics.
------------------------------
Format & practicalities

   -

   Five days of live online teaching (approximately 7 hours per day)
   -

   Bring your own datasets if you wish; instructors will help tailor
   methods to your project
   -

   All sessions recorded and available for later review
   -

   Fee: £485

------------------------------

*Take the next step in your analytical journey*

If you are ready to deepen your understanding of community-level patterns
in marine mammal ecology and move beyond simple summaries into powerful
multivariate inference, this course provides the structured, practical
training you need.

-- 
Oliver Hooker PhD.
PR stats
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