Theory I: Ecological niches and geographic distributions

This is the first part of a training course on Species Distribution Modelling (also called Ecological Niche Modelling) taught by Richard Pearson at University College London in November 2014. The talk introduces correlative and mechanistic approaches for predicting species distributions, ecological niche theory, and the distinction between estimating geographic distributions and ecological niches. Funding was provided by the UK Natural Environment Research Council (NERC).

[@space-time-somdeep]

Fascinating topic.. specially seeing from a remote sensing and gis prospective

[@thananhkhotathoom1460]

Great! I learned a lots from the lectures

[@ellalewis8098]

very useful, thank you!! lovely illustrations

[@israelgz5358]

Thanks a lot for this course, it´s fantastic!

[@gebrehiwotgebreab5780]

Thank you for your lecture. I have one question how can we eliminate multicollinearity in the environmental variable.

[@otienoachieng7129]

Many thanks for this. Its really been helpful.

[@RafikGARNI]

Thank's a million

[@JackWiizard]

That's great, thanks!

[@milamanic8307]

Great :D

[@gebrehiwotgebreab5780]

Thank you for your lecture. I have one question how can we eliminate multicollinearity in the environmental variable.

[@wyclifeoluoch9376]

First, run Pearson correlation within all your independent variables and, ideally, any two variables with r > 0.8, you should drop one. To decide on which one to drop, check their contribution/importance in explaining the distribution of your species (easy to do in MaxEnt) and drop the less important one.