Rainbio présentation atbc16

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African forests phytogeography, (phylo)diversity and extinction risks: Insights from a mega database on the distribution of tropical African vascular plants Gilles Dauby Thomas Couvreur & RAINBIO consortium

Transcript of Rainbio présentation atbc16

Page 1: Rainbio présentation atbc16

African forests phytogeography, (phylo)diversity and extinction risks:

Insights from a mega database on the distribution of tropical African vascular plants

Gilles Dauby

Thomas Couvreur & RAINBIO consortium

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African forests phytogeography, (phylo)diversity and extinction risks:

Insights from a mega database on the distribution of tropical African vascular plants

tropics

Gilles Dauby

Thomas Couvreur & RAINBIO consortium

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African forests phytogeography, (phylo)diversity and extinction risks:

Insights from a mega database on the distribution of tropical African vascular plants

tropics

Gilles Dauby

Thomas Couvreur & RAINBIO consortium

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Gilles Dauby

Thomas Couvreur & RAINBIO consortium

African forests phytogeography, (phylo)diversity and extinction risks:

Insights from a mega database on the distribution of tropical African vascular plants

tropics

Biodiversity synthesis centre

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RAINBIO project

African RAIN forest community dynamics: implications for tropical BIOdiversity

conservation and climate change mitigation

AIM 1: up-to-date comprehensive plant occurrences DATABASE

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A near-comprehensive standardized database

Records density

> 580,000 georeferenced records

> 24,000 species

RAINBIO database

The largest ever in its kind for Tropical Africa

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RAINBIO database

Proportion of herb species

20 %

80 %

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‘Basic’ statistics important for biodiversity management and conservation

Species richness

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Objectives

1. Document phytogeographical regions Characterize their floristic/phylogenetic affinities & diversity Understand their origins

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Objectives

1. Document phytogeographical regions Characterize their floristic/phylogenetic affinities & diversity Understand their origins

2. Evaluate conservation status, regions with high concentration of potentially threatened species

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Objectives

1. Document phytogeographical regions Characterize their floristic/phylogenetic affinities & diversity Understand their origins

2. Evaluate conservation status, regions with high concentration of potentially threatened species

3. Species climatic niche modelling

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Objectives

1. Document phytogeographical regions Characterize their floristic/phylogenetic affinities & diversity Understand their origins

2. Evaluate conservation status, regions with high concentration of potentially threatened species

3. Species climatic niche modelling

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Phytogeographical delimitation

Phytochorological delimitation of White (1983)

Linder (2011) Fayolle (2014)

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Phytogeographical delimitation

Phytochorological delimitation of White (1983)

Linder (2011) Fayolle (2014)

Will RAINBIO bring new insights?

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Network approach to delimitate floristic bioregions

Bipartite network with species and localities as nodes Clustering with map equations algorithm into bioregions Efficient method for delineate biogeographical regions

Vilhena & Antonelli 2014 nature com.

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Network approach to delimitate floristic bioregions

http://bioregions.mapequation.org/

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Bioregions in African tropics

Many bioregions identified

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Bioregions in African tropics

Many bioregions identified

Several highlands regions

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Bioregions in African tropics

Many bioregions identified

Several highlands regions

Striking contrast between West and East Africa

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Bioregions in African tropics

Many bioregions identified

Several highlands regions

Striking contrast between West and East Africa

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Bioregions in African tropics

Focus on Guineo-Congolese region

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Focus on Guineo-Congolian region

Upper Guinea

Lower Guinea

Congolese

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Focus on Guineo-Congolian region

Upper Guinea

Lower Guinea

Congolese

Transition areas

Transition areas

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Floristic relationships among bioregions?

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How bioregions patterns be explained?

Floristic relationships among bioregions?

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How bioregions patterns be explained?

Geographical distance

Ecological (climatic) distance

Floristic relationships among bioregions?

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Example with Upper Guinea

Floristic relationships among bioregions?

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Floristic distance

well correlated with both

ecological and geographical

distances

R = 0.78 R = 0.72

Example with Upper Guinea

Floristic relationships among bioregions?

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Example with Cameroon highlands

Floristic relationships among bioregions?

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Example with Cameroon highlands

R = 0.12 R = 0.42

Well correlated with

ecological distance

Floristic relationships among bioregions?

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Floristic relationships reflect

recent dispersal events

and

environmental gradients

Floristic relationships among bioregions?

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Floristic relationships reflect

recent dispersal events

and

environmental gradients

Floristic relationships among bioregions?

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Floristic relationships reflect

recent dispersal events

and

environmental gradients

Floristic relationships among bioregions?

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Floristic relationships reflect

recent dispersal events

and

environmental gradients

Floristic relationships among bioregions?

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Floristic relationships reflect

recent dispersal events

and

environmental gradients

Floristic relationships among bioregions?

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Should reflect

• Ecological similarity if niche conservatism occurs

• Biogeographical events (vicariance, dispersal,

diversification)

Phylogenetic relationships among bioregions?

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Dated mega phylogeny available

ca. 4000 species represented

Other species are grafted

randomly within their genus

(>90% of all RAINBIO species)

Phylogenetic relationships among bioregions?

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Assessing lineages turnover

Phylogenetic relationships among bioregions?

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Assessing lineages turnover Cut at a

given age

Phylogenetic relationships among bioregions?

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Cut at 40 Millions years

Phylogenetic relationships among bioregions?

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Phylogenetic relationships among bioregions?

Highligh

ancient biogeographical

events

Cut at 40 Millions years

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Floristic turnover Lineages turnover (40 Millions years)

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Floristic turnover Lineages turnover (40 Millions years)

Evidence of niche

conservatism

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Conclusions

• RAINBIO do provide new insights into phytogeographical delimitations of

African tropics

Lineages vs. floristic turnover highlight different biogeographical/ecological

processes for explaining biogeographical patterns

• RAINBIO + megaphylogeny improve our understanding of

phytogeographical patterns

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Take home message

Collect plant specimens

This is useful !!

field

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Take home message

© Leonid Schneider

Share your data

This is a win-win action

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Take home message

Share your data

This is a win-win action RAINBIO

© Ainsley Seago

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Vincent Droissart

Olivier J. Hardy

Steven Janssens

All contributors to RAINBIO database