Masculinization protocol for Nile tilapia in Biofloc technology.pdf
Patch size affects herbivore grazing and algal succession on coral reef
1. Patch size dependent grazing and algal succession on a Caribbean coral reef Stoyle, G.W. & Box, S.J. 2008 Utila Centre for Marine Ecology Bay Islands Honduras
20. Macroalgal cover reduced from 76.76% to 12.50% Grid Layout Treatment Patches (grey areas) Mean % Pre-Treatment Benthic Cover
21. Results: Herbivore Density Post-treatment mean total density between grids did not significantly alter for each species Mean abundance pre (1) and post (2) treatment in grids A&B Post-treatment mean total density between size classes did significantly alter for some species Mean abundance of 5 dominant herbivores between size classes following treatment (Combined grids)
22. Results: Feeding Post-treatment mean total fish biting per species significantly altered* *Bite counts were restricted to whether fish bit or not, due to limited observers (binomial data) 1-way ANOVA results showing difference in total bites per species before and after treatment in grids A&B
23. Results: Size Dependence Pre-Treatment Post-Treatment No. fish biting at least once Survey Data represents all species, all cells and both grids combined adjusted per unit area (2m2) Control
24. Results: Size Dependence Pre-Treatment Post-Treatment No. fish biting at least once Survey Data represents all species, all cells and both grids combined adjusted per unit area (2m2) 25cm2
25. Results: Size Dependence Pre-Treatment Post-Treatment No. fish biting at least once Survey Data represents all species, all cells and both grids combined adjusted per unit area (2m2) 50cm2
26. Results: Size Dependence Pre-Treatment Post-Treatment No. fish biting at least once Survey Data represents all species, all cells and both grids combined adjusted per unit area (2m2) 100cm2
27. Results: Size Dependence Pre-Treatment Post-Treatment No. fish biting at least once Survey Data represents all species, all cells and both grids combined adjusted per unit area (2m2) 200cm2
28. Logistic Regression Model Multiple comparisons showed highly significant differences in number of fish taking at least one bite between smallest and largest size classes Binary logistic regression uses Yes/No data to predict a probability of success (p), in this case the likelihood a fish will bite, from a predictor variable (x) in this case the size of cleared patch: pis the probability of a fish biting at least once, b0, b1 are the coefficientsfor the predictor variablex (size class of cleared patch) and e is the natural logarithm Dunn’s multiple comparisons showing differences in total number of fish biting at least once between each size class
29. BLR Model Outputs with GLM Likelihood of fish biting at least once – data represents most significant differences between smallest and largest treatment areas