@incollection{fdi:010096597,
  title = {{C}itizen scientists contribution to monitor {A}sian biodiversity : a case study on flora of {P}eninsula {M}alaysia},
  author = {{L}ee, {S}.{H}. and {G}o{\¨e}au, {H}. and {J}oly, {A}. and {O}ng, {S}. and {L}oh, {Y}.{P}. and {A}ffouard, {A}. and {L}ombardo, {J}.{C}. and {C}laude, {J}ulien and {B}onnet, {P}.},
  editor = {},
  language = {{ENG}},
  abstract = {{F}our of the twenty five diversity hotspots cover {S}outheast {A}sia: {S}undaland, {P}hilippines, {I}ndo-{B}urma and {W}allacea. {A}ll these hotspots gather a large number of endemic species and ecosystems, accounting for 20% of the world's plant, animal and marine species. {A} better knowledge of this diversity and distribution is thus essential to enable the implementation of adapted management and protection strategies. {H}owever, as human resources and expertise to achieve this are limited, it is therefore necessary to assess the interest of a citizen mobilisation that could multiply the capacities to record and analyze this biodiversity. {A}s it is difficult for a non-specialist to quickly and correctly identify a large number of species, the development of new methods based on automatic visual approaches should facilitate and increase citizen participation. {R}ecent research results have shown a significant improvement in the field, however, the evaluation of such an approach to monitor flora or fauna on a large scale, in the context of high endemism, has never been done. {W}e report here an experiment implemented at the scale of the flora of the {P}eninsular {M}alaysia, based on the {P}l@nt{N}et citizen science platform. {T}his study highlights the interest of {M}alaysian society in this type of approach, and lays the groundwork to facilitate the deployment of similar methodology in other {A}sian countries.},
  keywords = {{MALAISIE} {OCCIDENTALE}},
  booktitle = {{O}n the edge of the sixth mass extinction in biodiversity hotspots : facts, needs, solutions and opportunities in {T}hailand and adjacent},
  numero = {},
  pages = {139--160},
  address = {{B}angkok},
  publisher = {{CU} {P}ress},
  series = {},
  year = {2024},
  URL = {https://www.documentation.ird.fr/hor/fdi:010096597},
}