Citizen science contributing to biodiversity monitoring: a French experience - Romain Julliard - Trees4Future
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Why being concerned by the fate of ordinary nature? (from a conservation biologist point of view) • Common species are good indicators • Appropriate for studying global changes • The general public is interested => Biodiversity monitoring
Monitoring scheme: a matter of trade-offs (1) Observer network : Skills vs numbers (2) Sampling design: Better representativity, but send observers where they do not chose to go => (3) Simple Protocole
The French Breeding Bird Survey: Animations locales : Plan d’échantillonnage : > 2000 carrés suivis au moins une fois entre 1989 et 2015
Gradient thermique : ‐ 0.4 °C pour 100 km vers le nord Climat: Communautés 250 km d’oiseaux: 90 km (1989‐2006)
Common bird Bats Butterfly Skilled amater schemes Flore commune Vigie Nature- Museum National d’Histoire Naturelle
Schemes open to ‐ Observatoire des Papillons des anyone Jardins ‐ Opération Escargots Avec Noé Conservation Avec Téla‐Botanica Suivi Photographique des Insectes Pollinisateurs Avec l’OPIE Avec la LPO Avec Planète Mer
Suivi Photographique des Insectes POLLinisateurs
A flower‐dwelling Insects Survey ? Pollination, a degraded ecological function (and service) Pollination : diversity matters Multi‐factor pressure : climate warming, urbanisation, agriculture intensification
A flower‐dwelling Insects Survey ? Many sampling sites required, but very few specialists a few thousands flower‐dweling insects in France!! A solution : a survey based on amateur photographs
Have fun ! First step A 20 minutes safari‐photo
20 minutes
Have fun ! Step 2 Go through your pictures and select 1 per species that you can distinguish
Have fun ! Step 3 Found a name for each selected insect… among 600!
Online Identification key for insects
r pictures: Found in the online guide: Le syrphe ceinturé Les chloropides jaunes
Have fun ! Step 4 Share your collection on the Internet and comment collections of other participants
icipants are encouraged to check others’ identification
entifications are eventually checked by experts Alexis Borges Lepidoptera Mathieu de Flores Arthropoda Serge Gadoum Hymenoptera, Syrphidae Hervé Guyot Arthropoda
Data can be browsed by anyone
Some results
Data distribution uis 2010 0 regular participants 000 collections 0,000 photos
Who are the observers? me skills Beginners in taking biodiversity tos
Participants are learning % correct identification Rank of the collection
The most frequent insect : The Honney Bee 852 photos pour 2010
Wild bees 2010 : 3 527 photos, that is, 80% of all bees
tat characterization at sampling sites e land-use types within 1km nd each collection: ban % farmland % naturals Compared to other collections within 100 km culate for each species, ihood of appearance as a 100 km ction of relative % habitat
average, common linating species Habitat affinity oid cities and tend favor farmland urban farmland naturals
Insect affinity for urban landscape ly hymenoptera erate cities Habitat affinity
Hymenoptera affinity for urban landscape few solitary bees Mégachilides Habitat affinity tually enjoy city e! Anthidium sawfly
e rarer pollinators Habitat affinity en more avoid cities, t strongly favor the re natural habitats urban farmland naturals
Raisons for success Motivation to participate: – > contribute to science – > self-learning ! Before, in my garden, there were only butterflies, now, there are painted laidies, red admirals, swallowtails »
unteers to Vigie‐Nature Citizen‐science programs Do you think your biodiversity knowledge … … did not increase … increases and reached a maximum … increased and can increase more Lay Expert Self‐reported level before volunteering Self‐reported knowledge acquisition for lay‐people
Nichoirs à abeilles solitaires Placettes «Vers de terre » Planches «invertébrés terrestres »
Offer teachers to participate to Vigie Nature while implementing the official school program - Biodiversity education through experience - Science education through participation 11-2012 : adaptation of 3 schemes for implementing the hool program (11-15 years old) => 9 interdisciplinary course with associated
> Tested by 80 classes (1900 children) in 2012- 2013 and between 200 and 400 since each year.
2015 - 2019
Merci de votre attention Julliard@mnhn.fr
The issue of data quality… Precision (observers skills) Repeatability (stick to the protocole) Representativity (sampling design, post‐ stratification)
Ex: « I’ve seen three whites in my garden » Protocole : « maximum number of individuals seen simultaneously » cies assemblage: leues eacock eadow brown 100- 300 m2 other species not seen No fongicide Part of lauwn unmowed Less than 100m from a forest
Ex: « I’ve seen three whites in my garden » Protocole : « maximum number of individuals seen simultaneously » cies assemblage: leues eacock eadow brown 100- 300 m2 other species not seen No fongicide Part of lauwn unmowed Less than 100m from a forest
Ex: « I’ve seen three whites in my garden » Protocole : « maximum number of individuals seen simultaneously » cies assemblage: leues eacock eadow brown 100- 300 m2 other species not seen No fongicide Part of lauwn unmowed Less than 100m from a forest
Ex: « I’ve seen three whites in my garden » Protocole : « maximum number of individuals seen simultaneously » cies assemblage: leues eacock eadow brown 100- 300 m2 other species not seen No fongicide Part of lauwn unmowed Less than 100m from a forest
r solution : participatory monitoring scheme -Cost / Benefit - Legitimity Volunteer Observer network Validation - Cost / Benefit Data - Quality control Coordination : Animation / Research
diversity monitoring: But a complex a simple equation organization Observers Animation network + Conception Field methods = Data Analysis
diversity monitoring: But a complex a simple equation organization Observers Animation network + Conception Field methods = Data Analysis
rspectives Propose new activities ! Studying parasitism rate around Paris Cotesia glomerata
rspectives Studying parasitism rate in 30 gardens around Paris Taux de parasitisme % urbanisation
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