sp.assoc(matr)
details
Number of plots.
N
Number of species.
S
Number of plots occupied by certain species.
n
total number of species for each plot.
Tj
mean species number for all the plots.
t
Variance of species relative frequency:
sigma^{2}{T}= sum{i}=1^{s}P{i}(1-P{i})
.
Variance of species number:
S^{2}{T}=({1}{N})sum{j=1}^{N}(T{j}-t)^{2}
.
Species relative frequency
P{i}={n{i}}{N}
.
Variance ratio:
If VR > 1
Positively associated,
If VR < 1
Negative associated
VR = {S{T}^{2}}/{sigma{T}^{2}}
W
: used in comparison with chi square with n degrees of freedom.
W = VR * N
GUO zhongling, MA yuandan, ZHENG Jiping, LIU Wande , JIN Zefeng.(2004) Biodiversity of tree species,their populations'spatial distribution pattern and interspecific association in mixed deciduous broadleaved forest in Changbai Mountains. Chinese Journal of Applied Ecology. 15:2013-2018
Shi Zuomin, Liu Shirong, Cheng Ruimei, Jiang Youxu.(2001) Interspecific association of plant populations in deciduous broad leaved forest in Baotianman. Scientia Silvae Sinicae. 37:30-35
sp.pair
for association between each pair of species.
data(testdata)
spmatrix <- data2mat(testdata)
sp.assoc(spmatrix)
Run the code above in your browser using DataLab