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Citations since 2017
3 Research Items
E. Maria U. Jung currently works at the ARC Centre of Excellence for Coral Reef Studies in Perth, Western Australia. Their current project is "Coral recovery and physiology after unprecedented bleaching in northwest Australia".
Cold-water corals (CWC) have long been considered particularly sensitive to ocean acidification (OA). However, a number of laboratory studies indicate that exposure to acidic waters does not affect CWC growth but in situ OA studies on CWC are scarce. In the naturally acidified Comau Fjord (Chile), high densities of the cosmopolitan CWC Desmophyllum...
Cold-water corals (CWC) were long thought to be particularly sensitive to ocean acidification (OA). However, previous laboratory studies indicate no negative effect of low aragonite saturation (Ωar) on growth rates of CWC while the few in situ studies show the same result. The CWC Desmophyllum dianthus is ubiquitous in Comau Fjord (southern Chile),...
Cold-water corals (CWC) are thought to be especially vulnerable to ocean acidification. However, in situ studies on the response of CWC to low aragonite saturation (Ωar) are still scarce. The Comau Fjord in northern Patagonia (Chile) is naturally stratified with vertical and horizontal pH gradients and high abundances of the cosmopolitan CWC Desmop...
for my master thesis I study coral recovery after a bleaching event. I have 3 factors (health, time and environment) with repeated measures.
Colonies of both bleached and healthy corals were tagged in two different environments in April. The first sampling also took place in April. The second sampling was in November, 7 months later. We already know that corals from one of the environment mostly died from the bleaching whereas those from the other reef mostly recovered. To find out why that is, we analyzed different parameters (chl a content, biomass, etc).
Unfortunately, in November we only have 1 sample left of the formerly bleached corals from one of the environments (as all others died). We generally have an unbalanced design (n for all other treatments varies between 7 and 10) depending on the survival of the tagged colonies.
The question is how to test the different parameters (chl a content, biomass etc) for significance if there is just a n=1 left? We were thinking of a three way anova but without variance for this treatment it´s obviously not possible. Another option would be a GLMM. Would that work with the "n=1 problem"? I use SAS software.
I´m happy about all answers/suggestions as I´m not that experienced in stats.