[R-sig-Geo] Assessing and ranking the relationships and contribution of environmental correlates to species richness

[ah3881]

Hi

Thanks.
I have species richness projections (made using Maxent projections of
species distribution of 171 species, reclassified to give binary estimates
of species distributions {10 percentile training threshold) before combining
all 171 projections).
So I have a raster of species richness in addition to all the possible
correlates I am examining (npp, intra-annual variability of npp,
inter-annual variability of npp, distance from coast, distance from karsts,
latitude, lgm minimum temperature, lgm mean temperature, temperature change
in minimum temperature since lgm, t change in mean temp since lgm, actual
evapotranspiration)
None of the correlates were used in species distribution projections and I
have a gis raster of each variable, in addition to a database denoting the
value of each for every km2 throughout Southeast Asia.

Now I want to determine how much variability in species richness can be
explained by variation in each of the other variables, in addition to the
relationships. But I don't know which test would be best to do this, or
software (GIS or database) which could best analyse this-especially given
that the database is over 4520000 rows, and a large number of columns.....
Advice would be greatly appreciated 

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