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Georget S., Van Wynsberge S., Andréfouët Serge. (2019). Understanding consequences of adaptive monitoring protocols on data consistency : application to the monitoring of giant clam densities impacted by massive mortalities in Tuamotu atolls, French Polynesia. ICES Journal of Marine Science, 76 (4), 1062-1071. ISSN 1054-3139

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Lien direct chez l'éditeur doi:10.1093/icesjms/fsy189

Titre
Understanding consequences of adaptive monitoring protocols on data consistency : application to the monitoring of giant clam densities impacted by massive mortalities in Tuamotu atolls, French Polynesia
Année de publication2019
Type de documentArticle référencé dans le Web of Science WOS:000484404900026
AuteursGeorget S., Van Wynsberge S., Andréfouët Serge.
SourceICES Journal of Marine Science, 2019, 76 (4), p. 1062-1071. ISSN 1054-3139
RésuméDuring long-term monitoring, protocols suitable in the initial context may have to change afterward because of unforeseen events. The outcome for management can be important if the consequences of changing protocols are not understood. In Tuamotu Archipelago atolls, French Polynesia, the density of giant clams (Tridacna maxima) has been monitored for 12years, but massive mortalities and collapsing densities forced to shift from a line-intercept transects and quadrats (LIT-Q) method to a belt-transect (BT) method. We investigated with a simulation approach the conditions (density, size structure, aggregation of giant clam populations) under which the two methods provided different results. A statistical model relating the BT density to the LIT-Q density was validated using new field data acquired on the same sites with both protocols, on two atolls. The BT method usually provided higher estimates of density than the LIT-Q method, but the opposite was found for very high densities. The shape of the relationship between measurements depended on population size structure and on aggregation. Revisiting with the model the historical LIT-Q densities suggested that densities have been underestimated in the past but previously detected trends in population trajectories remained valid. The implication of these findings for management are discussed.
Plan de classementRessources halieutiques [040]
Descr. géo.POLYNESIE FRANCAISE ; TUAMOTU
LocalisationFonds IRD [F B010076671]
Identifiant IRDfdi:010076671
Lien permanenthttp://www.documentation.ird.fr/hor/fdi:010076671

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