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Reef fish, newcomers to macro-ecology
Presented by KULBICKI MICHEL
IRD
GASPAR program
INITIAL AIM: investigate SAR & associated curves using Reef fish as a model
In particular we were interested to look from local to global using:
Intrinsic factors: i.e. life-history traits; Phylogeny
Extrinsic: local factors (e.g. habitat types ; distubances) and
regional factors (e.g. island size and isolation, energy, evolutionary history)
WHY REEF FISH ?
High diversity (> 7100 species)
Contrasted sites with strong gradients in:
Habitat
Island size & isolation
Latitude
Very low level of publication < 2011 compared to land (birds,
mammals, butterflies, FW fish …)
Checklists (initially 165; now > 280) – 6300 teleost species (initially – now > 7000)
LHT: Diet, Size, Schooling, Home Range, Level in the water
Physical , biogeochemical & human related data
Island and coral reef size
Geomorphological diversity of coral reefs
SST, salinity, chlorophyll and so on
Island isolation Human density; Revenue; Travel time
MPAs : location, surface, status
REGIONS FOR WHICH THE TEAM HAS DATA OTHER REGIONS POTENTIALLY AVAILABLE
Field Observations (UVC) (1.5 million records + ~ 1 million additional )
12 000 transects Species composition
Abundance
Size distribution
Biomass ; ~ Production
Benthic landscape
Taxonomy
& Phylog.
Life-History Traits
Environ. & Human
Factors
Field Observations
Biogeog.
Regions
Species
Assembly
Rules
Functional
Assembly
Rules
Evolut.
History
FG Vulnerabilty
Rarity
Predat. - Prey
DATA TYPES
RESULTS
Dispersal
Colonization
Ecol. Services
(Biomass)
Richness
X
Biomass
Biomass &
MTE
Management
Rules
Invas. Species
∆ Concepts
France (3 IRD ; 1 U Montpellier; 2 CNRS)
Australia (1)
Brazil (1)
Mexico (1)
USA (2)
Pos-doc (1)
Invited scientists : Israel (1), Switzerland (1); France (2)
Publications 2013-2016
Field ecologists: 4
Theoreticians: 3
Modelers : 3
Phylogenetic.: 1
Statistics-DB: 1
CESAB: two meetings/year & 3 year post-doc were essential
it took 2 years to get
the first article out
Access to high impact
journals eased through
3 members of the team
Project planned since 2005
First $ from FRB in 2009
0
2
4
6
8
10
12
14
16
18
2011 2012 2013 2014 2015 2016
Nb.Articles
AverageImpactFactor
Nb Articles
Average IF
Taxonomy
& Phylog. Life-History Traits
Environ. & Human
Factors
Field Observations
Biogeog.
Regions
Species
Assembly
Rules
5 Hypotheses
Functional
Assembly
Rules
Evolut.
History
FG Vulnerabilty
Rarity
Predat. - Prey
Dispersal
Colonization
Ecol. Services
(Biomass)
Richness
X
Biomass
Biomass &
MTE
Management
Rules
W V
RL
AMT
I
BF KHN
E
SQX
G
K
JD
X
COY
KZ
Invas. Species
2241
3690
2910
570
890 403
3 Realms
6 regions
14 provinces
Kulbicki et al. 2013
Checklists Disimilarity
Number of Species
Taxonomy
& Phylog. Life-History Traits
Environ. & Human
Factors
Field Observations
Biogeog.
Regions
Species
Assembly
Rules
5 Hypotheses
Functional
Assembly
Rules
Evolut.
History
FG Vulnerabilty
Rarity
Predat. - Prey
Dispersal
Colonization
Ecol. Services
(Biomass)
Richness
X
Biomass
Biomass &
MTE
Management
Rules
W V
RL
AMT
I
BF KHN
E
SQX
G
K
JD
X
Invas. SpeciesCOY
KZ
10
2- assembly rules for species richness (Parravicini et al. 2013)
HypothesesContributions
11
Taxonomy
& Phylog. Life-History Traits
Environ. & Human
Factors
Field Observations
Biogeog.
Regions
Species
Assembly
Rules
5 Hypotheses
Functional
Assembly
Rules
Evolut.
History
FG Vulnerabilty
Rarity
Predat. - Prey
Dispersal
Colonization
Ecol. Services
(Biomass)
Richness
X
Biomass
Biomass &
MTE
Management
Rules
W V
RL
AMT
I
BF KHN
E
SQX
G
K
JD
X
Invas. SpeciesCOY
KZ
During ice-age periods coral reefs « shrink », sea level goes down
Today Lowest Sea Level during the quaternary
conditions favorable to coral reefs too cold
unfavorable salinity
3- the role of refuges and evolutionary history (Pellissier et al. 2014; Leprieur et al. 2015)
Distance of each cell to
the nearest refugia.
Average over 3 MY
Today’s distribution of
reef fish
Frequency of refugia
(there were many
changes during the last 3
MY – 1 value each 1000
years time step)
Refugia –SST -Salinity
Species richness
decreases with distance to
refugia. This distance
explains~ 60% of the
spatial distribution of
today’s reef fish
Labridae
Butterfly fish Damselfish
All Species
Colonizing capacity is
essential to explain the
present day diversity
distribution
High Dispersal
Average
dispersal
Low Dispersal
Taxonomy
& Phylog. Life-History Traits
Environ. & Human
Factors
Field Observations
Biogeog.
Regions
Species
Assembly
Rules
5 Hypotheses
Functional
Assembly
Rules
Evolut.
History
FG Vulnerabilty
Rarity
Predat. - Prey
Dispersal
Colonization
Ecol. Services
(Biomass)
Richness
X
Biomass
Biomass &
MTE
Management
Rules
W V
RL
AMT
I
BF KHN
E
SQX
G
K
JD
X
Invas. SpeciesCOY
KZ
Some example from the Indo Pacific
Number of Species / Site
Number of Species / Site
Plankton Feeders Herbivores
Species < 7 cm Species 50-80 cm
5- Functional assembly rules (Kulbicki et al. 2015; Mouillot et al. 2014;
Bender et al. 2015)
%oftheGroup%oftheGroup
< 7cm
7-15 cm
16-30 cm
31-50 cm
51-80 cm
> 80 cm
Deviation from
neutral model
The global deviation (sum of all
deviation from Neutral) was
measured for each cell
The deviation is nearly
constant for families  Very
stable % of each family
within a realm
Trophic structure is the
furthest from the Neutral
model in regions with
high div ersity
Size Structure is the furthest
from the Neutral model in
isolated and peripheral regions
Taxonomy
& Phylog. Life-History Traits
Environ. & Human
Factors
Field Observations
Biogeog.
Regions
Species
Assembly
Rules
5 Hypotheses
Functional
Assembly
Rules
Evolut.
History
FG Vulnerabilty
Rarity
Predat. - Prey
Dispersal
Colonization
Ecol. Services
(Biomass)
Richness
X
Biomass
Biomass &
MTE
Management
Rules
W V
RL
AMT
I
BF KHN
E
SQX
G
K
JD
X
Invas. SpeciesCOY
KZ
#ofspeciesperFE
Rank of functional entity
1
Species richness packing within functional entities reveals high functional
vulnerability of reef fish assemblages
Functional vulnerability
Functional vulnerability: The percentage of functional entities with no redundancy, i.e.
composed by only one species
Functional Vulnerability (Mouillot et al. 2015; Parravicini et al. 2015)
30 40 50 60 70 80
4050607080
Functional richness
Functionalvulnerability
0 500 1000 1500 2000 2500
4050607080
Species richness
Functionalvulnerability
Taxonomy
& Phylog. Life-History Traits
Environ. & Human
Factors
Field Observations
Biogeog.
Regions
Species
Assembly
Rules
5 Hypotheses
Functional
Assembly
Rules
Evolut.
History
FG Vulnerabilty
Rarity
Predat. - Prey
Dispersal
Colonization
Ecol. Services
(Biomass)
Richness
X
Biomass
Biomass &
MTE
Management
Rules
W V
RL
AMT
I
BF KHN
E
SQX
G
K
JD
X
Invas. SpeciesCOY
KZ
6-Biomass a first measure of ecosystem service
Species Richness (log)
Functional Richness (log)
StandingBiomass(log)
Mora et al. 2011
6.1 – Dark spot (Cinner et al. 2016)
PROGRAMS & TEAMS (FOLLOW UP): Pristine; Dark Spot; Shark; ReefProd; Reef Atlas
CONCEPTS: SR-D-B-P relationships; role of humans vs nature; top predators;
role of FG vs role of species
EXPECTED OUTCOMES
THEORETICAL:
Comparing with other systems or phyla
(e.g. terrestrial, fresh water; birds, trees …)
Hierarchy of LHT, is species size a « super-LHT » (over-arching trait)?
Links between species size, richness and abundance
What do « theories » linked to energy use and metabolism have to say ?
Abundance & Endemism:
Differences in abundance between zones with and without
refuges
LHT of endemics are different according to these zones
Species age similar for endemics and non endemics
but different between rare and common species
Evolutionary history structures all ?
Using simple rules in recruitment & colonization as a function of
species size, models converge towards todays species richness
& species size structure
Core (Kernel) functions – functional succession
As species richness increases (for a given reef type) there is
a succession of FG, with an increase in the % of rare species &
rare FGs
PRACTICAL:
Management : there should be a chain of rules going from the general to the
specific as one goes from global to regional to local
Finding easy to measure control factors: e.g. travel time
Production as the ultimate measure of Ecological Service
Need of growth estimates / species
Problem of mortality & import-export
Reef fish, newcomers to macro-ecology

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Reef fish, newcomers to macro-ecology

  • 1. Reef fish, newcomers to macro-ecology Presented by KULBICKI MICHEL IRD GASPAR program
  • 2. INITIAL AIM: investigate SAR & associated curves using Reef fish as a model In particular we were interested to look from local to global using: Intrinsic factors: i.e. life-history traits; Phylogeny Extrinsic: local factors (e.g. habitat types ; distubances) and regional factors (e.g. island size and isolation, energy, evolutionary history) WHY REEF FISH ? High diversity (> 7100 species) Contrasted sites with strong gradients in: Habitat Island size & isolation Latitude Very low level of publication < 2011 compared to land (birds, mammals, butterflies, FW fish …)
  • 3. Checklists (initially 165; now > 280) – 6300 teleost species (initially – now > 7000) LHT: Diet, Size, Schooling, Home Range, Level in the water Physical , biogeochemical & human related data Island and coral reef size Geomorphological diversity of coral reefs SST, salinity, chlorophyll and so on Island isolation Human density; Revenue; Travel time MPAs : location, surface, status
  • 4. REGIONS FOR WHICH THE TEAM HAS DATA OTHER REGIONS POTENTIALLY AVAILABLE Field Observations (UVC) (1.5 million records + ~ 1 million additional ) 12 000 transects Species composition Abundance Size distribution Biomass ; ~ Production Benthic landscape
  • 5. Taxonomy & Phylog. Life-History Traits Environ. & Human Factors Field Observations Biogeog. Regions Species Assembly Rules Functional Assembly Rules Evolut. History FG Vulnerabilty Rarity Predat. - Prey DATA TYPES RESULTS Dispersal Colonization Ecol. Services (Biomass) Richness X Biomass Biomass & MTE Management Rules Invas. Species ∆ Concepts
  • 6. France (3 IRD ; 1 U Montpellier; 2 CNRS) Australia (1) Brazil (1) Mexico (1) USA (2) Pos-doc (1) Invited scientists : Israel (1), Switzerland (1); France (2) Publications 2013-2016 Field ecologists: 4 Theoreticians: 3 Modelers : 3 Phylogenetic.: 1 Statistics-DB: 1 CESAB: two meetings/year & 3 year post-doc were essential it took 2 years to get the first article out Access to high impact journals eased through 3 members of the team Project planned since 2005 First $ from FRB in 2009 0 2 4 6 8 10 12 14 16 18 2011 2012 2013 2014 2015 2016 Nb.Articles AverageImpactFactor Nb Articles Average IF
  • 7. Taxonomy & Phylog. Life-History Traits Environ. & Human Factors Field Observations Biogeog. Regions Species Assembly Rules 5 Hypotheses Functional Assembly Rules Evolut. History FG Vulnerabilty Rarity Predat. - Prey Dispersal Colonization Ecol. Services (Biomass) Richness X Biomass Biomass & MTE Management Rules W V RL AMT I BF KHN E SQX G K JD X COY KZ Invas. Species
  • 8. 2241 3690 2910 570 890 403 3 Realms 6 regions 14 provinces Kulbicki et al. 2013 Checklists Disimilarity Number of Species
  • 9. Taxonomy & Phylog. Life-History Traits Environ. & Human Factors Field Observations Biogeog. Regions Species Assembly Rules 5 Hypotheses Functional Assembly Rules Evolut. History FG Vulnerabilty Rarity Predat. - Prey Dispersal Colonization Ecol. Services (Biomass) Richness X Biomass Biomass & MTE Management Rules W V RL AMT I BF KHN E SQX G K JD X Invas. SpeciesCOY KZ
  • 10. 10 2- assembly rules for species richness (Parravicini et al. 2013)
  • 12. Taxonomy & Phylog. Life-History Traits Environ. & Human Factors Field Observations Biogeog. Regions Species Assembly Rules 5 Hypotheses Functional Assembly Rules Evolut. History FG Vulnerabilty Rarity Predat. - Prey Dispersal Colonization Ecol. Services (Biomass) Richness X Biomass Biomass & MTE Management Rules W V RL AMT I BF KHN E SQX G K JD X Invas. SpeciesCOY KZ
  • 13. During ice-age periods coral reefs « shrink », sea level goes down Today Lowest Sea Level during the quaternary conditions favorable to coral reefs too cold unfavorable salinity 3- the role of refuges and evolutionary history (Pellissier et al. 2014; Leprieur et al. 2015)
  • 14. Distance of each cell to the nearest refugia. Average over 3 MY Today’s distribution of reef fish Frequency of refugia (there were many changes during the last 3 MY – 1 value each 1000 years time step) Refugia –SST -Salinity
  • 15. Species richness decreases with distance to refugia. This distance explains~ 60% of the spatial distribution of today’s reef fish Labridae Butterfly fish Damselfish All Species Colonizing capacity is essential to explain the present day diversity distribution High Dispersal Average dispersal Low Dispersal
  • 16. Taxonomy & Phylog. Life-History Traits Environ. & Human Factors Field Observations Biogeog. Regions Species Assembly Rules 5 Hypotheses Functional Assembly Rules Evolut. History FG Vulnerabilty Rarity Predat. - Prey Dispersal Colonization Ecol. Services (Biomass) Richness X Biomass Biomass & MTE Management Rules W V RL AMT I BF KHN E SQX G K JD X Invas. SpeciesCOY KZ
  • 17. Some example from the Indo Pacific Number of Species / Site Number of Species / Site Plankton Feeders Herbivores Species < 7 cm Species 50-80 cm 5- Functional assembly rules (Kulbicki et al. 2015; Mouillot et al. 2014; Bender et al. 2015) %oftheGroup%oftheGroup
  • 18. < 7cm 7-15 cm 16-30 cm 31-50 cm 51-80 cm > 80 cm Deviation from neutral model
  • 19. The global deviation (sum of all deviation from Neutral) was measured for each cell The deviation is nearly constant for families  Very stable % of each family within a realm Trophic structure is the furthest from the Neutral model in regions with high div ersity Size Structure is the furthest from the Neutral model in isolated and peripheral regions
  • 20. Taxonomy & Phylog. Life-History Traits Environ. & Human Factors Field Observations Biogeog. Regions Species Assembly Rules 5 Hypotheses Functional Assembly Rules Evolut. History FG Vulnerabilty Rarity Predat. - Prey Dispersal Colonization Ecol. Services (Biomass) Richness X Biomass Biomass & MTE Management Rules W V RL AMT I BF KHN E SQX G K JD X Invas. SpeciesCOY KZ
  • 21. #ofspeciesperFE Rank of functional entity 1 Species richness packing within functional entities reveals high functional vulnerability of reef fish assemblages Functional vulnerability Functional vulnerability: The percentage of functional entities with no redundancy, i.e. composed by only one species Functional Vulnerability (Mouillot et al. 2015; Parravicini et al. 2015)
  • 22. 30 40 50 60 70 80 4050607080 Functional richness Functionalvulnerability 0 500 1000 1500 2000 2500 4050607080 Species richness Functionalvulnerability
  • 23. Taxonomy & Phylog. Life-History Traits Environ. & Human Factors Field Observations Biogeog. Regions Species Assembly Rules 5 Hypotheses Functional Assembly Rules Evolut. History FG Vulnerabilty Rarity Predat. - Prey Dispersal Colonization Ecol. Services (Biomass) Richness X Biomass Biomass & MTE Management Rules W V RL AMT I BF KHN E SQX G K JD X Invas. SpeciesCOY KZ
  • 24. 6-Biomass a first measure of ecosystem service Species Richness (log) Functional Richness (log) StandingBiomass(log) Mora et al. 2011
  • 25. 6.1 – Dark spot (Cinner et al. 2016)
  • 26.
  • 27. PROGRAMS & TEAMS (FOLLOW UP): Pristine; Dark Spot; Shark; ReefProd; Reef Atlas CONCEPTS: SR-D-B-P relationships; role of humans vs nature; top predators; role of FG vs role of species EXPECTED OUTCOMES THEORETICAL: Comparing with other systems or phyla (e.g. terrestrial, fresh water; birds, trees …) Hierarchy of LHT, is species size a « super-LHT » (over-arching trait)? Links between species size, richness and abundance What do « theories » linked to energy use and metabolism have to say ?
  • 28. Abundance & Endemism: Differences in abundance between zones with and without refuges LHT of endemics are different according to these zones Species age similar for endemics and non endemics but different between rare and common species Evolutionary history structures all ? Using simple rules in recruitment & colonization as a function of species size, models converge towards todays species richness & species size structure Core (Kernel) functions – functional succession As species richness increases (for a given reef type) there is a succession of FG, with an increase in the % of rare species & rare FGs
  • 29. PRACTICAL: Management : there should be a chain of rules going from the general to the specific as one goes from global to regional to local Finding easy to measure control factors: e.g. travel time Production as the ultimate measure of Ecological Service Need of growth estimates / species Problem of mortality & import-export

Notes de l'éditeur

  1. No new field data generated during the program Appropriate timing & experience from scientists with high ranking journals Most of the work was about gathering & organizing the data then develop a logical plan for questions