Lee S.H., Goëau H., Joly A., Ong S., Loh Y.P., Affouard A., Lombardo J.C., Claude Julien, Bonnet P. (2024). Citizen scientists contribution to monitor Asian biodiversity : a case study on flora of Peninsula Malaysia. In :
Claude Julien (ed.), Kitana N. (ed.). On the edge of the sixth mass extinction in biodiversity hotspots : facts, needs, solutions and opportunities in Thailand and adjacent. Bangkok : CU Press, 139-160.
Titre du document
Citizen scientists contribution to monitor Asian biodiversity : a case study on flora of Peninsula Malaysia
Année de publication
2024
Type de document
Partie d'ouvrage
Auteurs
Lee S.H., Goëau H., Joly A., Ong S., Loh Y.P., Affouard A., Lombardo J.C., Claude Julien, Bonnet P.
In
Claude Julien (ed.), Kitana N. (ed.), On the edge of the sixth mass extinction in biodiversity hotspots : facts, needs, solutions and opportunities in Thailand and adjacent
Source
Bangkok : CU Press, 2024,
139-160
Four of the twenty five diversity hotspots cover Southeast Asia: Sundaland, Philippines, Indo-Burma and Wallacea. All 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. However, 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. As 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. Recent 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. We report here an experiment implemented at the scale of the flora of the Peninsular Malaysia, based on the Pl@ntNet citizen science platform. This study highlights the interest of Malaysian society in this type of approach, and lays the groundwork to facilitate the deployment of similar methodology in other Asian countries.
Plan de classement
Flore [082VEGET03]
;
Intelligence artificielle [122INTAR]
Localisation
Fonds IRD [F A010096593]
Identifiant IRD
fdi:010096597