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Figure S1. Colonization (a) and extinction (b) probabilities estimated seperately for the three  studied species.

Figure S2. Colonization (a) and extinction (b) probabilities estimated seperately for the three  studied species.

Table S1. Selection step (r), model structure, AICc, weight of AICc (w), number of parameters (k), naïve occupancy rate (Ψ(naive)), estimated occupancy rate (Ψ), detection probability (p) and risk of imperfect detection for the single-season modelng of Pelodytes punctatus, Hyla meridionalis and Pelophylax spp. occupancy rates. The 15 dipnet sweeps used at each visit to a pond are considered as independent replicates allowing estimation of the probability to detect a species given it is present (see Materials and Methods for more details).

Table S2. Selection step (r), model structure, AICc, ΔAICc, AIC weight (w), number of parameters (k), for the multi-season occupancy modelling of Pelodytes punctatus, Hyla meridionalis and Pelophylax spp. among 20 ponds from the Camargue Mediterranean wetland. ψ = initial occupancy probability, γ = colonization probability, = extinction probability, SP = species-specific effect, M = month, WL04 = water level in 2004 (first year of survey), H04 = pond hydroperiod in 2004, var(H) = variance of hydroperiod calculated for the complete study period (2004-2007), WL = mean water level over the complete study period.

Table S3. Probability of detecting the effect of (var(H))² and DE² on colonization and extinction rates of the three target species given the number of ponds included in the bootstrap procedure. The bootstrap procedure consists in building virtual dataset of 20, 40, 60 or 80 ponds by randomly selecting ponds in the true dataset. Bootstraps were performed 1000 times and the proportion of time the covariate was significant is specified in the table.

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