Hi,

I’m working with some invasive species in Spain, and I think that building up a mechanicistic framework would be undoubtful important in understanding invasions. However, I’ve noticed that the most outstanding part of this area is to make ecological niche models aimed to predict the places where the species will be introduced.

Well, I think this is conceptually flawed: the first step of any invasion (the rejection of the animals in the wild) is not determined by the animals being released, but by the people doing so. Therefore, animals are not “selecting” their own environment following rules as fitness maximization (i.e. the mu-over-g rule). The habitat is predefined by their human owners.

If the models are build under the niche concept (i.e. that the animals have some factors that limit them), but the animals cannot select the habitat themselves, then it is not possible to make accurate predictions about this. In fact, if anyone take a look to some niche models for invasive species performed some years ago, you will find that animals has expanded beyond the predictions. Furthermore, and related with the previous things, niche models should assume equilibrium with the environment, something not matched.

Finally, if the first places to be invaded (sources) depend upon people, then each place will have a different basic niche rather than a general pattern, making it much more difficult to make inferences.

Perhaps, this kind of models should be restricted to investigations of the spread or establishment phases, by modeling just the factors affecting survival and persistence, which can be effectively under the control of environmental factors.

What do you think? Are these suits of models appropriate? Or are just good in the situations I’ve described in the last paragraph?

Returning again to the beginning, if we need a mechanicistic model and niche models are not very good. Any suggestion to do a better work? I was thinking about dynamic models (including explicitly the time and the sources) or stochastic ones (or merging both types).

The post was a bit large, but I think it is very interesting and important. Regards

Pablo

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