Orgeret F., Garrigue Claire, Gimenez O., Pradel R. (2014). Robust assessment of population trends in marine mammals applied to New Caledonian humpback whales [plus Supplementary material]. Marine Ecology Progress Series, 515, p. 265-273. ISSN 0171-8630.
Titre du document
Robust assessment of population trends in marine mammals applied to New Caledonian humpback whales [plus Supplementary material]
Orgeret F., Garrigue Claire, Gimenez O., Pradel R.
Source
Marine Ecology Progress Series, 2014,
515, p. 265-273 ISSN 0171-8630
Estimating population trends for long-lived, migratory animals is challenging but essential for managing populations. Here we propose using a simple but potentially robust method, the direct estimation of population growth rate (PGR) from capture-recapture data. We considered an Endangered population of humpback whales Megaptera novaeangliae breeding and calving annually in the southern lagoon of New Caledonia. Studied since 1996, this population is known to exhibit a strong signal of transience, i.e. the presence of individuals that pass through the sampling area once, inducing detection heterogeneity. Another difficulty is that a more recently discovered second breeding and calving habitat (offshore seamounts to the south) has been surveyed with less intensity. Current direct PGR estimation models cannot deal with spatial sampling heterogeneity. In order to assess the reliability of the proposed method-in general and for our population in particular-we evaluated its robustness using simulations: first, when there are transient individuals; then, when the study area is split into 2 unequally sampled parts. We found no bias in PGR in the presence of transients. The bias with 2 unequally sampled parts depends on the amount and direction of exchanges, but appears negligible in our case study. The constant yearly PGR of the New Caledonian humpback whale population at the level of the 2 habitats was estimated at 1.15 (95% CI 1.11-1.20), suggesting outside recruitment. Whenever capture-recapture is feasible, we recommend the Pradel approach to estimate the PGR, validated with appropriate simulations, in order to assess population welfare.
