Hi,


I'm working on leaf characteristics of trees. Each tree is characterised by
about 10 leaf traits.
The trees were sampled at 9 different locations (about 20 to 30
trees/location, NOT balanced), grouped in 3 different climatic zones
(Sahelian, Soudanian and Guinean) (NOT balanced).
Further, each tree is characterised by some degree of human pressure
(mutilation degree), in total 4 different degrees were defined (NOT
balanced).

In the dryer zones, the trees are under a much higher human pressure than in
the more humid climatic zones, "zone" and "mutilation degree" are thus
strongly correlated.

I want to know how "zones" (fixed effects, climate interests me) and
"locations" (nested in "zones", random effects, location doesn't interests
me) are influencing the leaf traits (say for example "SLA"). Further, also
human pressure is affecting leaf traits so I want to characterise the
influence of "mutilation degree" (fixed effects) on "SLA".

I found some interesting information, but still, I am not be able to analyse
the data properly. I think I have to use the function lme() or lme().

Can anyone tell me which function and command I have to use? And how I can
produce an ANOVA table?


Thanks in advance,
Sebpe De Smedt

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