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Assessing and ranking the relationships and contribution of environmental correlates to species richness

4 messages · ah3881, Mathieu Rajerison

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ah3881
# 
I am trying to run some analysis to determine the percentage contribution
of various factors (minimum temp in lgm, npp, etc) on determining
species richness of 171 species throughout Southeast Asia (on a km by km
basis-so over 4 million rows of cells, and about 14 columns).
I have read about various stats tests, and softwares-but I am no
statistician and I would really appreciate some advice as to the best
method/tests.
So far I have been attempting SPSS, but it does not give me the outputs I
need, and a colleague suggested R might be the best way to analyse the data 
Thanks in advance

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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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