Reef manta beam (M. alfredi) generalised linear combined models

Reef manta beam (M. alfredi) generalised linear combined models

Mature sharksucker remora (Elizabeth. naucrates).

The highest ranks GLMM for E. naucrates consisted of all predictors (web site form, gender, readiness, and you can season) (S1 Dining table). This new design (Fig 8) signifies that E. naucrates have been probably are present with Meters. alfredi at the tidy up station, which were forty two% apt to be than just at feeding portion (Otherwise = 0.51). So it hitchhiker variety was also probably to get present on ladies within their cuatro th trimester of pregnancy (Otherwise = dos.6), which was 160% more than low-pregnant ladies (reference class), if you’re people (Or = 0.59) were 41% less likely to possess E. naucrates hitchhikers than just non-pregnant ladies. Echeneis naucrates had been least more likely introduce towards the juvenile Yards. alfredi (Otherwise = 0.67), that happen to be 31% less inclined to fully grasp this hitchhiker kinds than simply people (resource class). The latest GLMM together with suggests that the possibilities of Age. naucrates visibility that have Yards. alfredi are high for the NE Monsoon (resource category), that has been twenty-five% apt to be than just during the SW Monsoon (Or = 0.75).

Indicates the likelihood of presence in comparison with the reference category shown in the legend. OR values are plotted with 95% confidence intervals (CI; solid horizontal lines). Where the CI does not span 1, the explanatory variable is significantly more likely when OR > 1, and significantly less likely when OR < 1. (A) Mobula alfredi and Echeneis naucrates, (B) M. alfredi and juvenile E. naucrates, (C) M. alfredi and Lutjanus bohar, (D) M. alfredi and Gnathanodon speciosus presence, and (E) M. birostris and Remora remora.

Teenager sharksucker remora (E. naucrates).

The greatest ranks GLMM to possess juvenile Elizabeth. naucrates contains all predictors (website setting, gender, readiness, and you will seasons). This new design (Fig 8) means that teenager Elizabeth. naucrates was most likely getting present which have Meters. alfredi at giving section (Or = 2.08), datingranking.net/wiccan-dating that has been 108% likely to be than at cleanup programs (resource class). Juvenile E. naucrates was basically in addition to likely to be present into the teenager M. alfredi (Or = 2.37), that happen to be 137% very likely to understand this hitchhiker category than people (site class). Men Meters. alfredi (Otherwise = 1.59) was indeed 59% apt to be than people to own juvenile Age. naucrates establish, and you may teenager E. naucrates was basically least probably be present that have Meters. alfredi in the SW Monsoon (Or = 0.63); 37% not likely than just inside NE Monsoon (site group).

Reddish snapper (L. bohar).

The highest ranking GLMM for L. bohar (Fig 8) contained one significant predictor (site function) and suggests that the species were most likely to be present with M. alfredi at cleaning stations (reference category), which was 100% more likely than at feeding areas (OR = 0). There was one model with ?AICc <2 (S1 Table), which was the same as the highest-ranking model with the addition of season, but this predictor was non-significant (p>0.05).

Golden trevally (Grams. speciosus).

The highest ranking GLMM for G. speciosus contained two significant predictors (site function and maturity status). Gnathanodon speciosus were most likely to be present with M. alfredi at cleaning stations (reference category), which was 22% more likely than at feeding areas (OR = 0.78) (Fig 8). There were two models with ?AICc <2 (S1 Table). One of these models contained the same predictors as the highest-ranking model with the addition of season, but this predictor was non-significant (p>0.05). The other model contained only the predictor maturity status, which suggested G. speciosus were more likely to be present on juvenile M. alfredi (OR = 1.5), which were 55% more likely to have this hitchhiker species than adults (reference category).

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