sp.assoc {spaa} | R Documentation |
Total species association
Description
Calculate species association
Usage
sp.assoc(matr)
Arguments
matr |
standard species matrix , with rows for plots and columns for species. |
Details
Calculate species association using the following formula.
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
Value
Return
Variance ratio, W, Chisq, etc, see details
pi |
Species frequency |
N |
Number of plots |
S |
Number of species |
Tj |
Total number of species for each plot |
Numspmean |
Mean number of species |
sigmaTsq |
Variance of species relative frequency |
STsq |
Variance of species number |
var.ratio |
Variance ratio |
W |
W statiscit value: used in comparison with chi square.(n) |
Author(s)
Jinlong Zhang jinlongzhang01@gmail.com
References
Zhang Qiaoying, Peng Shaolin, Zhang Sumei, Zhang Yunchun, Hou Yuping. (2008) Association of dormintant species in Guia hill Municipal Park of Macao. Ecology and Environment. 17:1541-1547
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
See Also
See also sp.pair
for association between each pair of species.
Examples
data(testdata)
spmatrix <- data2mat(testdata)
sp.assoc(spmatrix)