Till startsida
To content Read more about how we use cookies on gu.se

Mapping species and habitats - using predictive modelling

On land, coherent maps of ecological properties of the landscape such as structure and extent of vegetation cover can often be derived from remote sensing methods, e.g. satellite or aerial photography. Sometimes, these methods for direct mapping may also be applicable in shallow marine areas. But for most types of ecological information and for the vast majority of depths, they are not useful in Baltic coastal waters.

Predictive mapping - a promising alternative
Predictive mapping is an alternative way to produce underwater maps. The process combines biological sampling with statistical modelling, based on traditional species-environment relationships. We have used data from four case-study areas to evaluate the predictability of vegetation, invertebrates and fish in the Baltic Sea. Find our recommendations in the menu on the left! The four steps of predictive mapping: (1) Biological sampling at a limited number of sites, (2) compilation of full-coverage environmental data (e.g. water depth, exposure), (3) development of statistical model and (4) construction of full-coverage GIS-map of biological features.

PREHAB conclusions

Predictive modelling is a useful and promising approach for obtaining maps on the distribution of species and habitats in different parts of the Baltic Sea. 

Direct or predictive mapping?

When is predictive mapping useful?

Distribution or abundance?

Are you aiming for predictive mapping of the distribution or the abundance of the species or biological feature in question?

© University of Gothenburg, Sweden Box 100, S-405 30 Gothenburg
Phone +46 31-786 0000, About the website

The University of Gothenburg uses cookies to provide you with the best possible user experience. By continuing on this website, you approve of our use of cookies.  What are cookies?