@article{fdi:010085184, title = {{C}omprehensive spatial distribution of tropical fish assemblages from multifrequency acoustics and video fulfils the island mass effect framework}, author = {{S}alvetat, {J}ulie and {B}ez, {N}icolas and {H}abasque, {J}{\'e}r{\'e}mie and {L}ebourges {D}haussy, {A}nne and {L}opes, {C}. and {R}oudaut, {G}ildas and {S}imier, {M}onique and {T}ravassos, {P}. and {V}argas, {G}. and {B}ertrand, {A}rnaud}, editor = {}, language = {{ENG}}, abstract = {{T}ropical marine ecosystems are highly biodiverse and provide resources for small-scale fisheries and tourism. {H}owever, precise information on fish spatial distribution is lacking, which limits our ability to reconcile exploitation and conservation. {W}e combined acoustics to video observations to provide a comprehensive description of fish distribution in a typical tropical environment, the {F}ernando de {N}oronha {A}rchipelago ({FNA}) off {N}ortheast {B}razil. {W}e identified and classified all acoustic echoes into ten fish assemblage and two triggerfish species. {T}his opened up the possibility to relate the different spatial patterns to a series of environmental factors and the level of protection. {W}e provide the first biomass estimation of the black triggerfish {M}elichthys niger, a key tropical player. {B}y comparing the effects of euphotic and mesophotic reefs we show that more than the depth, the most important feature is the topography with the shelf-break as the most important hotspot. {W}e also complete the portrait of the island mass effect revealing a clear spatial dissymmetry regarding fish distribution. {I}ndeed, while primary productivity is higher downstream, fish concentrate upstream. {T}he comprehensive fish distribution provided by our approach is directly usable to implement scientific-grounded {M}arine {S}patial {P}lanning.}, keywords = {{ATLANTIQUE} ; {BRESIL} ; {ZONE} {TROPICALE} ; {FERNANDO} {DE} {NORONHA} {ARCHIPEL}}, booktitle = {}, journal = {{S}cientific {R}eports - {N}ature}, volume = {12}, numero = {1}, pages = {8787 [24 ]}, ISSN = {2045-2322}, year = {2022}, DOI = {10.1038/s41598-022-12409-9}, URL = {https://www.documentation.ird.fr/hor/fdi:010085184}, }