What do I need to model species distribution?

Usually the modelling starts with observing species occurrences and with finding environmental variables that are thought to influence habitat suitability. In any case, conceptual models help to find the main biotic and abiotic factors that control species distribution.

Components of SDM

SDM Components (Franklin 2010)

Species occurrence data can be obtained by complex field surveys at the one hand but can also be derived from existing database records. Environmental data is normally derived from digital maps, such as digital elevation models (DEM) or climate surfaces. These data often come from remote sensing or are also the result of a spatial model.

It also needs a model that links the species occurrences to the environmental variables. These models can be statistical, descriptive, logical, or rule based.

We also need tools to process and store the input and output data. There are several tools available. Most of the preprocessing and data management could be done in a common GIS system like QGIS or ArcGIS. Another interesting software environment, primary for statistical analysis and graphics, is R. This software can be used for building the models but also for repetitive GIS processing.

Last but not least we need data and criteria to evaluate the predictions.

This was only a brief overview and I will get more in depth for each of the above mentioned points.

Advertisements
This entry was posted in UNIGIS. Bookmark the permalink.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s