Citizen Sciences in Korea: biodiversity monitoring and reconnection with nature Hortense Serret PhD in ecology Post-doctoral researcher hserret@ewha.ac.kr

summary The stakes of citizen sciences in ecology Biodiversity monitoring via citizen science: first achievements in Korea and perspectives

summary The stakes of citizen sciences in ecology Biodiversity monitoring via citizen science: first achievements in Korea and perspectives

Citizen science Anybody can help researchers at one’s level, according to one’s skills and time!

Why do scientists need the general public? Data Ordering -Exploration -Analysis Collection at a large scale

Different levels of participation Level 1: Data collection Opportunistic data, citizen as sensors… Level 2: Contribution to the interpretation of the data Pictures analysis, ordering, identification, etc. Level 3: Contribution to research question and data collection Level of participation Definition of a problem, elaboration of a research plan, data collection Level 4: Contribution to each step (scientific problematic, data collection, analysis)

Very efficient from a research point of view Number of publications realised from citizen sciences programs at the world level for the last 20 years

In ecology, citizen sciences address different objectives Data collection at different scales during several years Long-term monitoring, population dynamics Development of monitoring index (species speciality, sensitivity to urbanization, etc.) Urban planning, conservation and management policies orientations Enhance the general public knowledges and increase people’s awareness about biodiversity stakes

summary The stakes of citizen sciences in ecology Biodiversity monitoring via citizen science: first achievements in Korea and perspectives

Examples of citizen science programs in South Korea A partnership with Donga Science Field guide book edition Education activities A digital application dedicated to data collection

An application dedicated to the collect of the data

A platform to extract the data

Pollinators data 2016 2272 pictures kept – 42 % 5326 pictures downloaded for 82 observers A lot of out-of-subject pictures!! 2272 pictures kept – 42 % 1846 geolocalised – 34 %

What do we learn from these data? The orders

What do we learn from these data? The most frequent family or species Hymenoptera Diptera Honey bees (Apis mellifera/cerana) 45 % E. arbustorum & cerealis 30 % of the Diptera 68 % of the Hymenoptera Halictus group 6 % Eristralis 6 % Episyrphus balteatus 3 % 18 % of the Diptera Xylocopa appendiculata 2 % Bombus 5 % Syrrita pipiens 1 % Among the Bombus genius, 74 % of Bombus ignitus

What do we learn from these data? The most frequent family or species Pieris 1 % Lepidoptera Lyceanaceae 2 % 19 % of the Lepidoptera Hesperidae 1 % 30 % of the Lepidoptera 14 % of the Lepidoptera Coleoptera Popillia mutans 0,6 % 30 % of the Coleoptera

From opportunistic to structured data Launching of a protocol inspired from Vigie-Nature, the French plat-form of citizen sciences in ecology Not focused on Honey bee anymore Choice of a flowering flower During 15 min, pictures of all of the pollinators and other insects present Structured data allow to go deeper in the analysis Assessement of the richness per collection Communities structure Plant-insects interactions …

Motivate the troops and explain why it’s important to follow a SCIENTIFIC PROTOCOL

From April 2017… Equivalent amount of collections 1671 collections for now (2 672 in 2016) Increase in the number of geolocalised pictures 1571 are geolocalised (94 %) 1111 unique GPS points (833 in 2016) Increase in participation 116 observers in 2017 for now (84 in 2016, + 40 %)

Next steps Assessment of the quality of the data for 2017 Analysis How well the protocol has been followed? Survey of the observers Analysis Communities analysis according to landscape features Affinity with urban/non urban areas Construction of a first rarity index Plant-Pollinators interactions Launching of a identification key in order to incite the participants to identify the pictures Construction of a community of observers which could validate the identifications Online key, guide book, etc.

Perspectives Creation of a Data Management System in order to mutualize: The data The storage The animation Prof. Yikweon Jang, Ewha Womans University Prof. Romain Julliard, National Museum of Natural History of Paris

고맙습니다 !! Hortense Serret hserret@ewha.ac.kr 010-9608-2101