Although ordinal data are not rare in ecology, ecological studies have, unt
il now, seriously neglected the use of specific ordinal regression models.
Here. we present three models - the Proportional Odds the Continuation Rati
o and the Stereotype models - that can be successfully applied to ordinal d
ata. Their differences and respective fields of application are discussed.
Finally, as an example of application, PO models are used to predict spatia
l abundance of plant species in a Geographical Information System. It shows
that ordinal models give as good a result as binary logistic models for pr
edicting presence-absence, but an additionally able to predict abundance sa
tisfactorily.