@article{fdi:010088281,
  title = {{S}pecies identification of fish shoals using coupled split-beam and multibeam echosounders and two scuba-diving observational methods},
  author = {{D}avid, {V}iviane and {M}ouget, {A}. and {T}hiriet, {P}. and {M}inart, {C}. and {P}errot, {Y}annick and {L}e {G}off, {L}. and {B}ianchimani, {O}. and {B}asthard-{B}ogain, {S}. and {E}staque, {T}. and {R}ichaume, {J}. and {S}ys, {J}. {F}. and {C}hemin{\'e}e, {A}. and {F}eunteun, {E}. and {A}cou, {A}. and {B}rehmer, {P}atrice},
  editor = {},
  language = {{ENG}},
  abstract = {{S}pecies identification remains crucial for interpreting acoustic backscatter delivered by active acoustic meth-odologies. {T}he study took place in a {M}arine {P}rotected {A}rea where highly restricted areas were present such as no take zones. {W}e used an innovative methodology coupling split-beam and multibeam echosounders to detect and classify monospecific fish shoals (i.e. schools or aggregations). {S}pecies identifications were realised by under-water visual censuses made by scientific divers. {T}wo experimental protocols, where the divers gave the identi-fications instantaneously thanks to a communication wireframe, were tested: three roving scuba divers locating the shoals or a towed scuba diver directly behind the vessel. {E}nergy responses, 3-{D} morphological, shape indexes and spatial descriptive variables of multiple independent samples of 4 observed fish species shoals ({A}therina sp., {B}oops boops, {C}hromis chromis and {S}picara maena) were calculated from the acoustic data. {A}ccording to their behaviour and feeding strategy, significant differences in the acoustic variables were found between species. {T}he combined use of acoustic data from both echosounders significantly improved the fish species classification. {T}hey were well discriminated using a {L}inear {D}iscriminant {A}nalysis ({LDA}), including for {B}. boops, {C}. chromis and {S}. maena, which were all observed in aggregations. {F}inally, we used this {LDA} model to allocate species to un-known shoals monitored by acoustics methods in the studied site, highlighting the interest of our methodology to predict bentho-pelagic and pelagic fish distributions in shallow waters. {W}e suggest that these acoustic methods to discriminate fish species could provide valuable insights for marine management and decision-making.},
  keywords = {{A}ctive acoustics ; {M}ultibeam echosounder ; {S}plit-beam echosounder ; {U}nderwater visual census ; {S}pecies identification ; {FRANCE} ; {MEDITERRANEE} ; {CALANQUES} {PARC} {NATUREL}},
  booktitle = {},
  journal = {{J}ournal of {M}arine {S}ystems},
  volume = {241},
  numero = {},
  pages = {103905 [11 ]},
  ISSN = {0924-7963},
  year = {2024},
  DOI = {10.1016/j.jmarsys.2023.103905},
  URL = {https://www.documentation.ird.fr/hor/fdi:010088281},
}