Figure 1.
Relationships between fish species richness and habitat variables in the lagoon of Lizard Island, GBR.
All relationships were statistically significant (p<0.05).
Figure 2.
Relationships between log fish abundance and habitat variables in the lagoon of Lizard Island, GBR.
Lines were only fitted to the statistically significant relationships (p<0.05).
Figure 3.
Relationships between habitat variables in the lagoon of Lizard Island, GBR.
All relationships were statistically significant (p<0.05).
Figure 4.
Regression tree analysis of the fish species richness at Lizard Island, QLD, Australia.
The explanatory variables were: site, topographic complexity, habitat diversity, coral species richness, coral diversity, percent hard coral cover, branching coral cover and corymbose coral cover. For each of the four terminal nodes the distribution of the observed values of fish species richness is shown in a histogram. Each node is labeled with the mean rating and the number of observations in a group (in parentheses). The tree explained 70.5% of the total variability in the data. The first and second splits based on coral species richness explained 56.4% and 7.2% respectively, the third split based on percent hard coral cover explained additional 6.9%.
Figure 5.
Regression tree analysis of the log fish abundance at Lizard Island, QLD, Australia.
The explanatory variables were: site, topographic complexity, habitat diversity, coral species richness, coral diversity, percent hard coral cover, branching coral cover and plate coral cover. For each of the four terminal nodes the distribution of the observed values of log fish abundance is shown in a histogram. Each node is labeled with the mean rating and the number of observations in a group (in parentheses). The tree explained 34.1% of the total variability in the data. The first split based on percent hard coral cover explained 17.4%, second split based on coral species richness explained 8.1% and the third split based on site explained additional 8.6%.
Figure 6.
Constrained distance-based redundancy analysis plot of fish community fitted to significant predictor variables (hard coral cover, habitat complexity, coral species richness, branching coral cover) identified using forward DistLM selection procedure and AIC selection criteria (Table 4). The relative influence of fitted predictor variables is indicated by the length of vector overlays. Each black point represent a single sample. a. Fitted predictor variables. Significant variable are identified with an asterisk (*) b. Fish species vectors.