We propose a model to describe the adaptation of a phenotypically structured
population in a H-patch environment connected by migration, with each patch
associated with a different phenotypic optimum, and we perform a rigorous
mathematical analysis of this model. We show that the large-time behaviour of
the solution (persistence or extinction) depends on the sign of a principal
eigenvalue, λH​, and we study the dependency of λH​ with
respect to H. This analysis sheds new light on the effect of increasing the
number of patches on the persistence of a population, which has implications in
agroecology and for understanding zoonoses; in such cases we consider a
pathogenic population and the patches correspond to different host species. The
occurrence of a springboard effect, where the addition of a patch contributes
to persistence, or on the contrary the emergence of a detrimental effect by
increasing the number of patches on the persistence, depends in a rather
complex way on the respective positions in the phenotypic space of the optimal
phenotypes associated with each patch. From a mathematical point of view, an
important part of the difficulty in dealing with H≥3, compared to H=1 or
H=2, comes from the lack of symmetry. Our results, which are based on a fixed
point theorem, comparison principles, integral estimates, variational
arguments, rearrangement techniques, and numerical simulations, provide a
better understanding of these dependencies. In particular, we propose a precise
characterisation of the situations where the addition of a third patch
increases or decreases the chances of persistence, compared to a situation with
only two patches