1. The occurrence of species vulnerable to habitat fragmentation is likely
to depend on the size and separation of the fragments. However, the shape o
f the function that relates occurrence to these landscape parameters may be
affected by other factors that are less easily measured, in which case rel
ationships with size and separation in one area may predict occurrence else
where only poorly.
2. We explored how well the distribution of red squirrels Sciurus vulgaris
in fragmented woodlands was predicted by simple logistic regression models
empirically derived in other fragmented landscapes.
3. Comparisons between predictions lead us to identify thresholds in fragme
nt size (> 10 ha) and distance to a source (< 600 m) where the probability
of squirrel occupancy was at least 0.9 in all landscapes. These values may
reflect squirrel minimum habitat requirements for home range and dispersal
in the worst study area.
4. For fragments < 10 ha (outside shared thresholds), models developed in a
landscape could predict squirrel occupancy elsewhere only in 17% of cases,
as other factors such as demography or habitat quality might become releva
nt in very small and isolated fragments.
5. The predictive ability for small fragments also improved when the range
of fragment sizes in the area of observation fell within the range of sizes
in the area where the model was developed.
6. Some models gave correct between-year predictions of squirrel distributi
on in the same landscape despite noticeable changes in regional squirrel po
pulation density.
7. When size and distance thresholds were met, we found that models could b
e used successfully elsewhere. In addition, threshold values indicate how l
arge forest fragments should be and how they should be arranged to favour s
quirrel occurrence in a landscape.