Citizen science contributing to biodiversity monitoring: a French experience - Romain Julliard - Trees4Future

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Citizen science contributing to biodiversity monitoring: a French experience - Romain Julliard - Trees4Future
Citizen science contributing to
    biodiversity monitoring:
      a French experience

              Romain Julliard
Citizen science contributing to biodiversity monitoring: a French experience - Romain Julliard - Trees4Future
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
Citizen science contributing to biodiversity monitoring: a French experience - Romain Julliard - Trees4Future
Scientists + Citizen !

Scientists alone….
Citizen science contributing to biodiversity monitoring: a French experience - Romain Julliard - Trees4Future
Citizen science contributing to biodiversity monitoring: a French experience - Romain Julliard - Trees4Future
Citizen science contributing to biodiversity monitoring: a French experience - Romain Julliard - Trees4Future
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
Citizen science contributing to biodiversity monitoring: a French experience - Romain Julliard - Trees4Future
The French Breeding Bird Survey:
Animations locales :

Plan d’échantillonnage :

                            > 2000 carrés
                           suivis au moins
                            une fois entre
                             1989 et 2015
Citizen science contributing to biodiversity monitoring: a French experience - Romain Julliard - Trees4Future
L’indicateur STOC
Citizen science contributing to biodiversity monitoring: a French experience - Romain Julliard - Trees4Future
Gradient thermique : ‐ 0.4 °C pour 100 km vers le nord

                                        Climat:           Communautés
                                        250 km            d’oiseaux:
                                                          90 km

                                                         (1989‐2006)
Citizen science contributing to biodiversity monitoring: a French experience - Romain Julliard - Trees4Future
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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