[R-sig-eco] Predictors of functional diversity
Chris Mcowen
chrismcowen at gmail.com
Mon Mar 28 17:19:30 CEST 2011
Dear list,
I am modelling the distribution of a variable FD, FD is the functional diversity contained within ecoregions i have various predictors temperature, rain fall, population density etc etc, I have ( through AIC and stepwise) arrived at the most likely model the predicts the distribution of FD. However when i look at the community composition of the ecoregions that deviate from the model they have community compositions that are heavily skewed to certain families.
So i would like to know the effect on the family composition on FD in relation to the other factors so i can say something like: anthropogenic and environmental factors explained 10 percent of the observed variance in FD however the composition of the community explained.. %
I have done
explanation_mod_FD <- lm(Residuals_FD~Temperature+Agriculture+Population) which had a r sqaured of 0.10 and all correlates were significant
now i tried
explanation_mod_FD <- lm(Residuals_FD~Temperature+Agriculture+Population + FAMILY, correlation = exponential)
However, as expected i guess, i get
(Intercept) 4.944e-04 5.219e-03 0.095 0.9245
Temperature 2.311e-04 1.716e-05 13.470 < 2e-16 ***
Agriculture -2.637e-09 3.567e-10 -7.393 1.84e-13 ***
Population 3.389e-06 6.380e-07 5.311 1.16e-07 ***
FAMILYAlliaceae -1.598e-03 5.432e-03 -0.294 0.7686
FAMILYAlstroemeriaceae -6.986e-03 5.419e-03 -1.289 0.1974
FAMILYAmaryllidaceae -3.045e-03 5.344e-03 -0.570 0.5689
etc etc
Where each family is broken down.
Multiple R-squared: 0.13
Does this suggest that adding FAMILY explains 3% more of the variance than not adding it?
What i want to know is A) is the compostion of family within the region significant and by how much.
Any ideas or suggestion would be gratefully received, thanks in advance.
Chris
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