Figure 9 The Moran scatter plot and spatial
autocorrelation clustering map of Shannon-Wiener index.
3.2.4 The Correlation between
Vegetation Indices and Vegetation
Diversity
Significant correlations between vegetation and diversity indices were
observed at both the 10m × 10m and 30m × 30m scales (Figure 10),
indicating the possibility of establishing diversity assessment models.
At the 10m scale, all six vegetation indices, except the Margalef index
with no correlation to NDVI and SAVI, exhibited significant
relationships with the four diversity indices. Notably, the correlation
coefficients between Pielou, Simpson, Shannon, and DVI, as well as
MSAVI, consistently exceeded 0.54 (Table 3). However, at the 30m scale,
not all correlations observed at the smaller scale were present. NDVI
and MSAVI showed weak or no correlation with the four diversity indices,
while Pielou, Simpson, and Shannon exhibited significant positive
correlations with the remaining vegetation indices. Overall, whether at
the 10m × 10m or 30m × 30m scale, DVI showed higher correlation
coefficients with Shannon, with values of 0.617
(R2=0.38, P<0.01) and 0.725
(R2=0.53, P<0.01), respectively. The
diversity assessment model using DVI as the independent variable and
Shannon as the dependent variable can be represented as: y=1.667x+0.8364
(10m × 10m) and y=2.3452x+1.0473 (30m×30m), explaining 38% and 53% of
the variation, respectively.