Sammanfattning

The predictive performance of distribution models of common benthic species in the Baltic Sea was compared using four non-linear methods: generalized additive models (GAMs), multivariate adaptive regression splines, random forest (RF), and maximum entropy modelling (MAXENT). The effects of data traits were also tested. In total, 292 occurrence models and 204 quantitative (abundance and diversity) models were assessed. The main conclusions are that (i) the spatial distribution, abundance, and diversity of benthic species in the Baltic Sea can be successfully predicted using several non-linear predictive modelling techniques; (ii) RF was the most accurate method for both models, closely followed by GAM and MAXENT; (iii) correlation coefficients of predictive performance among the modelling techniques were relatively low, suggesting that the performance of methods is related to specific responses; (iv) the differences in predictive performance among the modelling methods could only partly be explained by data traits; (v) the response prevalence was the most important explanatory variable for predictive accuracy of GAM and MAXENT on occurrence data; (vi) RF on the occurrence data was the only method sensitive to sampling density; (vii) a higher predictive accuracy of abundance models could be achieved by reducing variance in the response data and increasing the sample size.

Nyckelord

generalized additive models; habitat suitability models; marine benthic ecosystems; maximum entropy modelling; multivariate adaptive regression splines; niche modelling; prevalence and sampling density; random forest; species distribution modelling; variance in the response data and sample size

Publicerad i

ICES Journal of Marine Science
2013, Volym: 70, nummer: 6, sidor: 1233-1243
Utgivare: OXFORD UNIV PRESS

SLU författare

• Bergström, Ulf

  • Institutionen för akvatiska resurser (SLU Aqua), Sveriges lantbruksuniversitet
    

Associerade SLU-program

Kust och hav


Globala målen

SDG14 Bevara och nyttja haven och de marina resurserna på ett hållbart sätt för en hållbar utveckling


UKÄ forskningsämne

Ekologi


Publikationens identifierare

DOI: https://doi.org/10.1093/icesjms/fst036

Permanent länk till denna sida (URI)

https://res.slu.se/id/publ/53516