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COREIDS
Predicting community resilience to invasions
from diversity and network structure
2014 – 2017
Project leaders: Patrice DAVID & François MASSOL
Post-docs: Grégory MOLLOT & Jelena PANTEL
Rabbit
Orycolagus cuniculus
Water lily
Eicchornia crassipes
Nile perch
Lates niloticus
Zebra mussel
Dreissena polymorpha
A worldwide revolution in
ecosystems and a major
component of global
change
Concerns all kinds of
organisms and habitats
Large impacts on
biodiversity but largely
unpredictable
biodiversity.europa.eu
Biological invasions
Networks of species interactions
Impacts of invasions
depend on interactions
with resident species
Interactions are organized
in networks (e.g. food
webs)
What properties make
networks sensitive to
invasion?
COREIDS project summary
• Assess the effects of invaders on biodiversity
• Understand which food webs are more likely
to be invaded
• Predict the effects of invaders based on
invaded food web and invader properties
• Reveal perturbation synergies between
anthropogenic pressures and invasions
The COREIDS group
A group of scientists
working on invasions
and/or networks in
France, Canada, New
Zealand
Field biologists,
experimental biologists,
statisticians, theoreticians
Syntheses, meta-analysis,
modelling
The COREIDS group
The COREIDS timeline
01/09/2014
2015 2016 20172014
meetings
finalreport
G. Mollot
J. Pantel
midreport
Advances in Ecological Research issues 56 & 57
N. Poulain
The COREIDS meetings
Four meetings (Jan 2015, Sept 2015, March 2016 & Oct 2016)
At the CESAB
9-13 persons per meeting (total = 19)
Meeting #1: presentations, general discussions
Meeting #2: preparation of AER 56-57, tentative chapters
Meeting #3: update & work on chapters (small groups)
Meeting #4: updates on theoretical projects, presentations
Papers: 1. Reviews
Papers: 2. Data-based
Papers: 3. Models
Deliverables: wrap-up
Various reviews   
Meta-analysis 
Theoretical models  
Statistical toolbox To do
Four types of local impacts of
invaders on food webs
I
1. Top-down
Invasive
predator
Resident
prey
Euglandina rosea
(predatory “wolf” snail)
Endemic
Partula spp
(tree
snails)
Direct predation is responsible for most
species extinctions following invasions
(Moorea island)
R
Four types of local impacts of
invaders on food webs
I
R1
2. Exploitative
competition
R2
Invasive
species
Resident
prey
Resident
competitor
Locally
cultivated
fruit
(La Réunion island)
Endemic
Ceratitis catoirii
C. Capitata
Introd 1939
Four types of local impacts of
invaders on food webs
I
R1
2. Exploitative
competition
R2
Invasive
species
Resident
prey
Resident
competitor
Locally
cultivated
fruit
(La Réunion island)
Endemic
Ceratitis catoirii C. Capitata
Introd 1939
C. rosa
Introd 1955
Four types of local impacts of
invaders on food webs
I
R1
2. Exploitative
competition
R2
Invasive
species
Resident
prey
Resident
competitor Endemic
Ceratitis catoirii
C. Capitata
Introd 1939
Locally
cultivated
fruit
C. rosa
Introd 1955
Bactrocera zonata
Introd 1991
- Invasive competitors often arrive in successive series
- Resident species are reduced or displaced more often than they go extinct
(La Réunion island)
Four types of local impacts of
invaders on food webs
R
3. Bottom-up
- Resident predators may limit populations of invasive species (biotic resistance)
- Invasive species usually have positive effects on their predators
Invasive Gobies
Neogobius melanostomus
Endemic water snake
Nerodia sipedon insularum
(Lake Erie)
I
Invasive
prey
Resident
predator
Four types of local impacts of
invaders on food webs
3. Bottom-up
- Invasive species usually have positive effects on their predators
- … but these benefits are sometimes outweighed by competition with more profitable
resident prey
- This situation is common with invasive plants e.g. Caulerpa taxifolia, Rubus alceifolius
>> herbivore diversity decreases
R2
Resident
competitor
Horned Lizard
Phrynosoma coronatum
Argentine ant
Linepithema humile
Native ant
Crematogaster californica
(California)
R
Invasive
prey
Resident
predator
I
Four types of local impacts of
invaders on food webs
4. Apparent
competition
Golden eagle
Aquila chrysaetos
Island fox
Urocyon littoralis
Feral pig
Sus scrofa
- Invasive species may benefit local generalist predators and indirectly affect local
species
(California channel islands)
R2
Resident
prey
R
Invasive
prey
Resident
predator
I
• ASYMMETRY: Invaders tend to
have more impact (often strong) on
natives than natives have on
invaders; they are fiercer
predators, better-defended prey,
and stronger competitors
The filter hypothesis
Predation
efficiency
coevolved
Not coevolved
Frequency
Example of predator introduction
• ASYMMETRY: Invaders tend to have
more impact (often strong) on
natives than natives have on
invaders; they are fiercer predators,
better-defended prey, and stronger
competitors
• LACK OF COEVOLUTION: Invaders
and residents are evolutionary naive
to each other : their interactions
may often be extreme
• FILTER: Only species that happen to
be tolerant to resident species
successfully invade
• Major outcomes
The filter hypothesis
• ASYMMETRY: Invaders tend to
have more impact (often strong) on
natives than natives have on
invaders; they are fiercer
predators, better-defended prey,
and stronger competitors
• LACK OF COEVOLUTION:
Invaders and residents are
evolutionary naive to each other :
their interactions may often be
extreme
• FILTER: Only species that happen
to be tolerant to resident species
successfully invade
• Major outcomes
Predation
efficiency
coevolved
Not coevolved
Mean
natives
Invasion
fails
Invasion
succeeds
Mean
invaders
Frequency
Example of predator introduction
The filter hypothesis
Propagation of effects in the recipient
network: attenuation or amplification?
I
Theoretical predictions
• Theoretical models: construction of model food webs by
addition of species and evolution of trophic traits (e.g. body
size) or classic models of food web simulation (niche model)
• Introduce virtual invaders, measure probability of success
and impact
• Diversity >> filling of niche space >> fewer invasions and
lower impacts
• Connectance: decrease probability of invasion, but potentially
more negative effects if invasion succeeds
Theoretical predictions
Distribution of robustness (=% of persistent species after invasion attempt) by
connectance
Theoretical predictions
Distribution of robustness (=% of persistent species after invasion attempt) by
connectance & by type of invader
All impacts
At least one species
lost
Theoretical predictions
Extinction cascades depend on food web topology
Empirical data: Three cases of far-reaching
impact of species introduction
1) Trophic
cascades in lakes
Favored by the relatively low
diversity and high efficiency
of primary consumption of
phytoplankton
(unlike in many plant-based
terrestrial ecosystems)
http://www.lmvp.org
Empirical data: Three cases of far-reaching
impact of species introduction
2) Disequilibrium
- Recent human modification:
eutrophication, elimination of top
predators, replacement of native
forest by agriculture or secondary
habitat >> low diversity, lots of
unexploited resource
- Evolutionary immaturity: remote
islands lacking particular groups
>> idem
http://www.lmvp.org
Guam island
Tree snake
Boiga irregularis
Empirical data: Three cases of far-reaching
impact of species introduction
3) Ecosystem
engineering
- Large modification of habitat:
sessile filter-feeders; water
clarification, creation of habitats
- Attracts many new species,
limits many others, deeply
reorganizes energy and matter
fluxes in lake ecosystem
(pelagic >> benthic)
http://ian.umces.edu
Zebra mussel
Great Lakes
Some invaders have more effect
Some ecosystems are more affected
Some regions are more affected
Lessons for ecosystem conservation
• Fight against causes of invasions rather than invasions
themselves: pollution, perturbation, predator removal
• Islands are hypersensitive due to past isolation: prevent
introductions, especially of generalist predators
• Eradication is usually costly and ineffective: resident
communities often change ecologically and evolutionarily after
invasions, there is often no way back. Look for mitigation
rather than eradication.
Thank you for your attention

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Coreids massol 171107

  • 1. COREIDS Predicting community resilience to invasions from diversity and network structure 2014 – 2017 Project leaders: Patrice DAVID & François MASSOL Post-docs: Grégory MOLLOT & Jelena PANTEL
  • 2. Rabbit Orycolagus cuniculus Water lily Eicchornia crassipes Nile perch Lates niloticus Zebra mussel Dreissena polymorpha A worldwide revolution in ecosystems and a major component of global change Concerns all kinds of organisms and habitats Large impacts on biodiversity but largely unpredictable biodiversity.europa.eu Biological invasions
  • 3. Networks of species interactions Impacts of invasions depend on interactions with resident species Interactions are organized in networks (e.g. food webs) What properties make networks sensitive to invasion?
  • 4. COREIDS project summary • Assess the effects of invaders on biodiversity • Understand which food webs are more likely to be invaded • Predict the effects of invaders based on invaded food web and invader properties • Reveal perturbation synergies between anthropogenic pressures and invasions
  • 5. The COREIDS group A group of scientists working on invasions and/or networks in France, Canada, New Zealand Field biologists, experimental biologists, statisticians, theoreticians Syntheses, meta-analysis, modelling
  • 7. The COREIDS timeline 01/09/2014 2015 2016 20172014 meetings finalreport G. Mollot J. Pantel midreport Advances in Ecological Research issues 56 & 57 N. Poulain
  • 8. The COREIDS meetings Four meetings (Jan 2015, Sept 2015, March 2016 & Oct 2016) At the CESAB 9-13 persons per meeting (total = 19) Meeting #1: presentations, general discussions Meeting #2: preparation of AER 56-57, tentative chapters Meeting #3: update & work on chapters (small groups) Meeting #4: updates on theoretical projects, presentations
  • 12. Deliverables: wrap-up Various reviews    Meta-analysis  Theoretical models   Statistical toolbox To do
  • 13. Four types of local impacts of invaders on food webs I 1. Top-down Invasive predator Resident prey Euglandina rosea (predatory “wolf” snail) Endemic Partula spp (tree snails) Direct predation is responsible for most species extinctions following invasions (Moorea island) R
  • 14. Four types of local impacts of invaders on food webs I R1 2. Exploitative competition R2 Invasive species Resident prey Resident competitor Locally cultivated fruit (La Réunion island) Endemic Ceratitis catoirii C. Capitata Introd 1939
  • 15. Four types of local impacts of invaders on food webs I R1 2. Exploitative competition R2 Invasive species Resident prey Resident competitor Locally cultivated fruit (La Réunion island) Endemic Ceratitis catoirii C. Capitata Introd 1939 C. rosa Introd 1955
  • 16. Four types of local impacts of invaders on food webs I R1 2. Exploitative competition R2 Invasive species Resident prey Resident competitor Endemic Ceratitis catoirii C. Capitata Introd 1939 Locally cultivated fruit C. rosa Introd 1955 Bactrocera zonata Introd 1991 - Invasive competitors often arrive in successive series - Resident species are reduced or displaced more often than they go extinct (La Réunion island)
  • 17. Four types of local impacts of invaders on food webs R 3. Bottom-up - Resident predators may limit populations of invasive species (biotic resistance) - Invasive species usually have positive effects on their predators Invasive Gobies Neogobius melanostomus Endemic water snake Nerodia sipedon insularum (Lake Erie) I Invasive prey Resident predator
  • 18. Four types of local impacts of invaders on food webs 3. Bottom-up - Invasive species usually have positive effects on their predators - … but these benefits are sometimes outweighed by competition with more profitable resident prey - This situation is common with invasive plants e.g. Caulerpa taxifolia, Rubus alceifolius >> herbivore diversity decreases R2 Resident competitor Horned Lizard Phrynosoma coronatum Argentine ant Linepithema humile Native ant Crematogaster californica (California) R Invasive prey Resident predator I
  • 19. Four types of local impacts of invaders on food webs 4. Apparent competition Golden eagle Aquila chrysaetos Island fox Urocyon littoralis Feral pig Sus scrofa - Invasive species may benefit local generalist predators and indirectly affect local species (California channel islands) R2 Resident prey R Invasive prey Resident predator I
  • 20. • ASYMMETRY: Invaders tend to have more impact (often strong) on natives than natives have on invaders; they are fiercer predators, better-defended prey, and stronger competitors The filter hypothesis
  • 21. Predation efficiency coevolved Not coevolved Frequency Example of predator introduction • ASYMMETRY: Invaders tend to have more impact (often strong) on natives than natives have on invaders; they are fiercer predators, better-defended prey, and stronger competitors • LACK OF COEVOLUTION: Invaders and residents are evolutionary naive to each other : their interactions may often be extreme • FILTER: Only species that happen to be tolerant to resident species successfully invade • Major outcomes The filter hypothesis
  • 22. • ASYMMETRY: Invaders tend to have more impact (often strong) on natives than natives have on invaders; they are fiercer predators, better-defended prey, and stronger competitors • LACK OF COEVOLUTION: Invaders and residents are evolutionary naive to each other : their interactions may often be extreme • FILTER: Only species that happen to be tolerant to resident species successfully invade • Major outcomes Predation efficiency coevolved Not coevolved Mean natives Invasion fails Invasion succeeds Mean invaders Frequency Example of predator introduction The filter hypothesis
  • 23. Propagation of effects in the recipient network: attenuation or amplification? I
  • 24. Theoretical predictions • Theoretical models: construction of model food webs by addition of species and evolution of trophic traits (e.g. body size) or classic models of food web simulation (niche model) • Introduce virtual invaders, measure probability of success and impact • Diversity >> filling of niche space >> fewer invasions and lower impacts • Connectance: decrease probability of invasion, but potentially more negative effects if invasion succeeds
  • 25. Theoretical predictions Distribution of robustness (=% of persistent species after invasion attempt) by connectance
  • 26. Theoretical predictions Distribution of robustness (=% of persistent species after invasion attempt) by connectance & by type of invader All impacts At least one species lost
  • 27. Theoretical predictions Extinction cascades depend on food web topology
  • 28. Empirical data: Three cases of far-reaching impact of species introduction 1) Trophic cascades in lakes Favored by the relatively low diversity and high efficiency of primary consumption of phytoplankton (unlike in many plant-based terrestrial ecosystems) http://www.lmvp.org
  • 29. Empirical data: Three cases of far-reaching impact of species introduction 2) Disequilibrium - Recent human modification: eutrophication, elimination of top predators, replacement of native forest by agriculture or secondary habitat >> low diversity, lots of unexploited resource - Evolutionary immaturity: remote islands lacking particular groups >> idem http://www.lmvp.org Guam island Tree snake Boiga irregularis
  • 30. Empirical data: Three cases of far-reaching impact of species introduction 3) Ecosystem engineering - Large modification of habitat: sessile filter-feeders; water clarification, creation of habitats - Attracts many new species, limits many others, deeply reorganizes energy and matter fluxes in lake ecosystem (pelagic >> benthic) http://ian.umces.edu Zebra mussel Great Lakes
  • 31. Some invaders have more effect
  • 32. Some ecosystems are more affected
  • 33. Some regions are more affected
  • 34. Lessons for ecosystem conservation • Fight against causes of invasions rather than invasions themselves: pollution, perturbation, predator removal • Islands are hypersensitive due to past isolation: prevent introductions, especially of generalist predators • Eradication is usually costly and ineffective: resident communities often change ecologically and evolutionarily after invasions, there is often no way back. Look for mitigation rather than eradication.
  • 35. Thank you for your attention