@article{fdi:010076671, title = {{U}nderstanding consequences of adaptive monitoring protocols on data consistency : application to the monitoring of giant clam densities impacted by massive mortalities in {T}uamotu atolls, {F}rench {P}olynesia}, author = {{G}eorget, {S}. and {V}an {W}ynsberge, {S}. and {A}ndr{\'e}fou{\¨e}t, {S}erge}, editor = {}, language = {{ENG}}, abstract = {{D}uring long-term monitoring, protocols suitable in the initial context may have to change afterward because of unforeseen events. {T}he outcome for management can be important if the consequences of changing protocols are not understood. {I}n {T}uamotu {A}rchipelago atolls, {F}rench {P}olynesia, the density of giant clams ({T}ridacna 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. {W}e 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. {T}he {BT} method usually provided higher estimates of density than the {LIT}-{Q} method, but the opposite was found for very high densities. {T}he shape of the relationship between measurements depended on population size structure and on aggregation. {R}evisiting 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. {T}he implication of these findings for management are discussed.}, keywords = {belt-transect ; ecological monitoring ; fishery ; line-intersect transects ; mass mortality ; quadrats ; sampling methods ; time series ; {T}ridacna maxima ; {POLYNESIE} {FRANCAISE} ; {TUAMOTU}}, booktitle = {}, journal = {{ICES} {J}ournal of {M}arine {S}cience}, volume = {76}, numero = {4}, pages = {1062--1071}, ISSN = {1054-3139}, year = {2019}, DOI = {10.1093/icesjms/fsy189}, URL = {https://www.documentation.ird.fr/hor/fdi:010076671}, }