@article{fdi:010061174,
  title = {{I}mpact of increasing deployment of artificial floating objects on the spatial distribution of social fish species},
  author = {{S}empo, {G}. and {D}agorn, {L}aurent and {R}obert, {M}. and {D}eneubourg, {J}. {L}.},
  editor = {},
  language = {{ENG}},
  abstract = {1. {A}pproximately 300 pelagic fish species naturally aggregate around floating objects ({FOB}s) at the surface of the oceans. {C}urrently, more than 50% of the world catch of tropical tuna comes from the industrial tuna fisheries around drifting {FOB}s. {G}reater understanding of the complex decision-making processes leading to this aggregation pattern and the impact of the massive release of artificial {FOB}s by fishermen on the spatial distribution and management of tuna is needed. 2. {W}e analyse how the interplay between social (relationships between individuals) and non-social (responses to the environment) behaviours may affect the spatial distribution of a population in a multi-{FOB} environment. {T}aking the example of tropical tunas associating with {FOB}s and using differential equations and stochastic simulations, we examine how, when increasing the number of {FOB}s, fish aggregation dynamics and the distribution of the population among patches are affected by the population size, level of sociality and the natural retentive and/or attractive forces of {FOB}s on individual tuna. 3. {O}ur model predicts that, depending on the species' level of sociality, fish will be scattered among {FOB}s or aggregated around a single {FOB} based on the number of {FOB}s deployed in a homogeneous oceanic region. 4. {F}or social species, we demonstrated that the total fish catch is reduced with increasing {FOB}s number. {I}ndeed, for each size of population, there are a number of {FOB}s minimizing the total population of fish associated with {FOB}s and another number of {FOB}s maximizing the total population of associated fish. 5. {S}ynthesis and applications. {I}n terms of fisheries management, the total catch volume is directly linked to the total number of floating objects ({FOB}s) for non-social species, and any limit on the number of sets would then result in a limit on the total catch. {F}or social species (e.g. tuna), however, increasing the number of {FOB}s does not necessarily lead to an increase in the total catch, which is a non-intuitive result. {I}ndeed, our model shows that, for specific values of the parameters, deploying a greater number of {FOB}s in the water (all other parameters being constant) does not necessarily help fishermen to catch more tuna, but does increase the level of fishing effort and bycatch.},
  keywords = {behaviour-based modelling ; bycatch ; {FAD} ; {FOB} ; sustainable fishery ; tuna},
  booktitle = {},
  journal = {{J}ournal of {A}pplied {E}cology},
  volume = {50},
  numero = {5},
  pages = {1081--1092},
  ISSN = {0021-8901},
  year = {2013},
  DOI = {10.1111/1365-2664.12140},
  URL = {https://www.documentation.ird.fr/hor/fdi:010061174},
}