@article{fdi:010079427, title = {{C}itizen {S}cience, a promising tool for detecting and monitoring outbreaks of the crown-of-thorns starfish {A}canthaster spp.}, author = {{D}umas, {P}ascal and {F}iat, {S}ylvie and {D}urbano, {A}. and {P}eignon, {C}hristophe and {M}ou-{T}ham, {G}{\'e}rard and {H}am, {J}. and {G}ereva, {S}. and {K}aku, {R}. and {C}hateau, {O}. and {W}antiez, {L}. and {N}'{Y}eurt, {A}. {D}. and {A}djeroud, {M}ehdi}, editor = {}, language = {{ENG}}, abstract = {{M}onitoring potentially devastating coral-eating crown-of-thorns starfish ({COTS}) populations at scales relevant to management is a challenging task. {H}ere, we investigated a citizen science approach to detect {COTS} outbreaks and prioritize management responses. {B}etween 2014 and 2018, 38 000 {COTS} were recorded through 641 online observation reports submitted across {N}ew {C}aledonia, {V}anuatu and {F}iji by private stakeholders (51%), {NGO}s (22%), business operator (11%), research/government agencies (16%). {COTS} were observed in multiple areas, including in remote/inhabited reefs where they had never been reported. {A} three-level classification was developed to discriminate risk areas and propose operational guidelines to streamline management actions. {A}bout two-thirds of reports had low abundances (<10 starfish sighted) and could be addressed with low priority. {V}erification surveys at 65 reef sites confirmed outbreaks in half of the cases, along with high peak densities (7 000 ind.ha(-1)). {C}ombining professional and non-professional observers increased the detection range (+27%) and the number of {COTS} detections (+129%). {C}itizen reports were eventually followed by removal campaigns organized within diverse institutional frameworks. {W}hile citizen monitoring has intrinsic limitations, we advocate that it constitutes a complementary and promising approach to support the ongoing management efforts in all countries affected by {COTS}.}, keywords = {{NOUVELLE} {CALEDONIE} ; {VANUATU} ; {FIDJI}}, booktitle = {}, journal = {{S}cientific {R}eports - {N}ature}, volume = {10}, numero = {1}, pages = {291 [10 ]}, ISSN = {2045-2322}, year = {2020}, DOI = {10.1038/s41598-019-57251-8}, URL = {https://www.documentation.ird.fr/hor/fdi:010079427}, }