STRI talk, long-term ecosystem development and plant diversity

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Long-term ecosystem development and terrestrial plant diversity Etienne Laliberté School of Plant Biology The University of Western Australia www.elaliberte.info STRI, January 8, 2013

description

Presentation of research programme on long-term soil/ecosystem development and patterns of plant species diversity. Tupper Seminar, Smithsonian Tropical Research Institute (STRI), Panama. Jan 8, 2013.

Transcript of STRI talk, long-term ecosystem development and plant diversity

Page 1: STRI talk, long-term ecosystem development and plant diversity

Long-term ecosystem development and terrestrial plant diversity

Etienne LalibertéSchool of Plant BiologyThe University of Western Australiawww.elaliberte.infoSTRI, January 8, 2013

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Outline• Long-term ecosystem development• Soil chronosequences

– Jurien Bay dune chronosequence• Nutrient limitation and nutrient-use efficiency• Patterns of plant species diversity

– local (alpha) diversity– site-to-site (beta) diversity

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Odum (1969) Science

Eugene Odum(1913-2002)

Respiration

BiomassGross production

Netproduction

Peak standing

biomass = ‘climax’

Ecosystem development

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Odum (1969) Science

Respiration

BiomassGross production

Netproduction

What about over longer periods?

1000’s

?

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Hawaiian 4.1 million-year island sequence

Crews et al. (1995) Ecology

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Long-term soil chronosequences

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Wardle et al (2004) Science

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Ecosystem decline or retrogression

Wardle et al (2004) Science

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Long-term soil chronosequences

Peltzer et al (2010) Ecol Monogr

Soil age

Build-up (progressive) phase Maximal phase Decline (retrogressive) phase

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Loss of P drives ecosystem decline

Soil age

Mineral P

Organic P

Total P

Apatite(phosphate minerals)

Walker & Syers (1976) Geoderma

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• Ancient, low-P soils• Biodiversity hotspot• ~8000 plant species• ~50% endemic• Highest plant

diversity in kwongan– small scales (100 m2)– also between sites (β)

Hopper & Gioia (2004) Ann Rev Ecol Evol Syst

Jurien Bay dune chronosequence

South-western AustraliaSpecies richness

Species endemism

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JurienBay

Perth

Jurien Bay >2-million-year dune chronosequence

0-7 ky

120-500 ky

>2000 ky

Holocene

Middle to late Pleistocene

Late Pliocene to Early Pleistocene

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Collaboration between UWA and STRI (Ben Turner)

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A

C

Stage 1: very young dunes(10’s—100 years)

High P

Laliberté et al. (2012) J Ecol

Very low N

Photo: Graham Zemunik

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Stage 2: young dunes(100’s-1000’s years)

High P

Laliberté et al. (2012) J Ecol

Highest N

A

C

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Stage 3: young dunes(~7000 years)

Medium P

Laliberté et al. (2012) J Ecol

Medium N

A

C1

C2

CA

C3

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Stage 4: old dunes(~120,000 years)

Very low P

Laliberté et al. (2012) J Ecol

Low N

AE

B1E

A

B2

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Stage 5: very old dunes(>2,000,000 years)

Extremely low P

Laliberté et al. (2012) J Ecol

Low N

EA

E

O

A

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Ecosystem progression and retrogression

Bioassay with canola

Litterfall traps

Laliberté et al. (2012) J Ecol

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Nutrient (co)limitation

N limitation

Laliberté et al. (2012) J Ecol

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Nutrient (co)limitation

N limitation Co-limitation

Laliberté et al. (2012) J Ecol

Co-limitation

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Nutrient (co)limitation

N limitationStrong P

limitationCo-limitation P limitation

Laliberté et al. (2012) J Ecol

Co-limitation

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Plant nutrient-use efficiency

Resorption from senescing leaves

NUE = carbon fixed per unit nutrient taken up

Green leaf nutrient concentration

Leaf lifespan

Photo: Patrick Hayes

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Leaf P concentration and resorptionPatrick Hayes

Honours studentNFAM EM NM

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Plant species richness increases during ecosystem development

Data from Wardle et al. (2008) OikosLaliberté et al. (in review)

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Random stratified sampling

6 dune systems * 10 plots = 60

Mean distance = 10 km

Each plot = 10x10 m

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Graham Zemunik (PhD student)• Vegetation surveys• cover• count data• height, diameter

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Jurien Bay: alpha diversity

All vascular plantsobserved species richness

All vascular plantsrarefied species richness

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Time

Pedogenic stage

Multivariate controls over local plant diversity

Increasing dune age

Haast, New Zealand

Turner et al. (2012) Catena

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Time

Pedogenic stage

Diversity of N and P forms

Plantdiversit

yresource partitioning (+)

Multivariate controls over local plant diversity

Local processes

Bever et al. (2010) TREE

Nitrogen

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Time

Pedogenic stage

Diversity of N and P forms

Plantdiversit

yresource partitioning (+)

Multivariate controls over local plant diversity

Local processes

Turner (2008) J Ecol

Phosphorus

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Nutrientavailability and stoichiometry

Time

Pedogenic stage

Diversity of N and P forms

resource partitioning (+)

resource-ratio model, productivity-diversity (+/-)

Multivariate controls over local plant diversity

Local processes

Plantdiversit

y

Grime (1973) Nature

Spec

ies

richn

ess

Humped-back model

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Nutrientavailability and stoichiometry

Time

Pedogenic stage

Diversity of N and P forms

resource partitioning (+)

resource-ratio model, productivity-diversity (+/-)

Multivariate controls over local plant diversity

Local processes

Plantdiversit

y

Resource-ratio model

Tilman (1982)

N?

P?

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Nutrientavailability and stoichiometry

Soil spatialheterogeneity

Time

Pedogenic stage

Diversity of N and P forms

Plantdiversit

yresource partitioning (+)

niche theory (+)

resource-ratio model, productivity-diversity (+/-)

Multivariate controls over local plant diversity

Local processes

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Nutrientavailability and stoichiometry

Soil spatialheterogeneity

Time

Soil biota

Pedogenic stage

Diversity of N and P forms

Plantdiversit

yresource partitioning (+)

negative plant-soil feedback (+)

niche theory (+)

resource-ratio model, productivity-diversity (+/-)

Multivariate controls over local plant diversity

Local processes

Host-specific pathogen

Bever et al. (2010) TREE

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Nutrientavailability and stoichiometry

Soil spatialheterogeneity

Time

Soil biota

Pedogenic stage

Diversity of N and P forms

Plantdiversit

yresource partitioning (+)

negative plant-soil feedback (+)

niche theory (+)

resource-ratio model, productivity-diversity (+/-)

Multivariate controls over local plant diversity

Local processes

Host-specific pathogen

Bever et al. (2010) TREE

3-year projectwith Ben Turner (STRI) and other collaborators

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Nutrientavailability and stoichiometry

Soil spatialheterogeneity

Time

Soil biota

Stage-specificspecies

pool size

Pedogenic stage

Diversity of N and P forms

Abiotic conditions

Plantdiversit

yresource partitioning (+)

species pool hypothesis (+)

negative plant-soil feedback (+)

niche theory (+)

resource-ratio model, productivity-diversity (+/-)

environmental filtering (-)

Multivariate controls over local plant diversity

Local processes

‘Regional’ processes

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Time

Stage-specificspecies

pool size

Pedogenic stage

Abiotic conditions

species pool hypothesis (+)

environmental filtering (-)

Multivariate controls over local plant diversity

‘Regional’ processes

Plantdiversit

y

Young carbonate dunespH > 8

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Nutrientavailability and stoichiometry

Soil spatialheterogeneity

Time

Soil biota

Stage-specificspecies

pool size

Pedogenic stage

Diversity of N and P forms

Abiotic conditions

Plantdiversit

yresource partitioning (+)

species pool hypothesis (+)

negative plant-soil feedback (+)

niche theory (+)

resource-ratio model, productivity-diversity (+/-)

environmental filtering (-)

Multivariate controls over local plant diversity

Local processes

‘Regional’ processes

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From alpha to beta diversity

0.01 ky 1 ky 7 ky 120 ky 500 ky 2000 ky

10 m X 10 m plot

How many plant species?

Alpha diversity

Dune age

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From alpha to beta diversity

0.01 ky 1 ky 7 ky 120 ky 500 ky 2000 ky

Dune age

How much variation in species composition between plots within a dune system?

Beta diversity

Alpha and beta determine gamma diversity (total number of species)

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Does beta diversity increase with productivity?

Chase (2010) Science

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From alpha to beta diversity

0.01 ky 1 ky 7 ky 120 ky 500 ky 2000 ky

Dune age

Productivity peaks in relatively young soils (1-7 ky), then declines in older soils (>120 ky)

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Alpha and gamma diversityStage 2 (~1 ky)

Stage 6 (2000 ky)

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Beta diversityStage 2 (~1 ky)

Stage 6 (2000 ky)

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Spatial autocorrelation?Condit et al. (2002) Science

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Spatial autocorrelation?Condit et al. (2002) Science

In older dunes, community similarity drops faster with geographical distance

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Spatial autocorrelation?

di

Mean distance to centroid = measure of spatial dispersion

Condit et al. (2002) Science

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Spatial autocorrelation?

di

Mean distance to centroid = measure of spatial dispersion

Condit et al. (2002) Science

β = -1.04P ≤ 0.05

In older dunes where beta diversity is greatest, plots are actually closer to each other

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Differences in sampling effort?

After rarefaction, general pattern persists

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Environmental heterogeneity?

Laliberté et al. (2012) J Ecol

• Total N• Total P• Resin P• pH• CEC• etc...

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Environmental heterogeneity?

Greater beta diversity in older soils not linked to greater environmental heterogeneity

but σ quite small

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Summary

• Ecosystem progression & ecosystem retrogression

• Shifts from N to P limitation• Higher P-use efficiency with soil age• α, β, and γ diversity higher in older soils• Higher β diversity in older soils despite:

– plots closer to each other– lower environmental heterogeneity

• Contrary to productivity-beta diversity hypothesis?

• Chronosequences as ‘natural experiments’ for plant community ecology

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• Hans Lambers• Graham Zemunik• Ben Turner• François Teste• Patrick Hayes• Stuart Pearse• Thomas Costes• several field workers...

Acknowledgements• Thanks to STRI for the invitation