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Long-term effects of climate change drivers (temperature, drought and elevated CO2) on an upland grassland ecosystem

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HAL Id: hal-02812839

https://hal.inrae.fr/hal-02812839

Submitted on 6 Jun 2020

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Long-term effects of climate change drivers

(temperature, drought and elevated CO2) on an upland grassland ecosystem

Amélie Cantarel, Juliette Bloor, Jean-François Soussana

To cite this version:

Amélie Cantarel, Juliette Bloor, Jean-François Soussana. Long-term effects of climate change drivers (temperature, drought and elevated CO2) on an upland grassland ecosystem. ACCAE, Oct 2010, Clermont-Ferrand, France. 2010. �hal-02812839�

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Long-term effects of climate change drivers (temperature, drought and CO

2

) on an upland

grassland ecosystem

Cantarel A., Bloor J.M.G. & Soussana J.F.

Grassland Ecosystem Research Group (UREP), INRA Clermont-Theix, France

http://www.clermont.inra.fr/urep/accae

Introduction

N2O fluxes N2O fluxes Climate effects

(CO2,Temp,H2O)

Community production

Plant diversity

Soil nutrients Microbial activity

uptake emission

Current climate models predict

global temperatures

Changes in regional patterns of rainfall

greenhouse gases production

Climate change has direct and indirect effects on

Plant community production

Plant community diversity

GES emissions

Long term effects of climate change remain unclear

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How do climate change drivers affect grassland production (short and long term effects)?

Do plant biomass patterns match changes in species diversity or/and functional diversity?

How are trace greenhouse gases (N2O fluxes) impacted by climate change drivers?

Introduction Study aims

ACCAE 2010

Materials et Methods Experimental design

Temperature + 3.5 °C

Summer drought -20% CO2increase + 200ppm ([CO2] = 600ppm) CLERMONT-FERRAND (350m)

C C Control THEIX (850m)

T T Temperature

TD TD Temperature

+ Drought

TDCOTDCO22 Temperature

+ Drought + Elevated CO2

A2 scenario predicted for Massif-Central in 2080 (IPCC)

Ecosystem: upland grassland, light sheep grazing, no fertilizers

5 experimental units per climate treatment

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Materials et Methods

Annual biomass production: sum of the April and October biomass per experimental unit

Species diversity: Shannon-Weaver, Equitability indices based on April cut

Functional diversity: proportion of grasses, legumes and forbs on annual biomass

N2O measurement with closed static chambers and a photoacoustic gas analyser (INNOVA)

ACCAE 2010

Effects of warming varied over time: positive effects in 2006 but negative effects in 2008 and 2009

Results Aboveground biomass production

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Results

ACCAE 2010

Biomass tended to decrease in response to summer drought (but only significant in 2009)

Aboveground biomass production

Results

Positive effect of elevated [CO2] after three years of climate change

Aboveground biomass production

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Significant effect of warming on functional diversity after 3 years of climate change

ACCAE 2010 Results

No effect of climate drivers on Shannon-Weaver and equitability indices

Plant diversity

negative impact on grasses

positive impact on legumes

Variation in N2O fluxes

Results

N2O fluxes (gN-N2O.m-2.hr-1)

0 20 40 60 80 100 120

Soil temperature (°C) and WFPS (%)

0 20 40 60 C 80

T TD TDCO2

Soil temperature (°C) WFPS (%)

Mar.07 Jul.07 Nov.07 Mar.08 Jul.08 Nov.08 Mar.09

N2O fluxes (gN-N2O.m-2.hr-1)

0 20 40 60 80 100 120

Soil temperature (°C) and WFPS (%)

0 20 40 60 C 80

T TD TDCO2

Soil temperature (°C) WFPS (%)

Mar.07 Jul.07 Nov.07 Mar.08 Jul.08 Nov.08 Mar.09

Mar.07 Jul.07 Nov.07 Mar.08 Jul.08 Nov.08 Mar.09

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N2O fluxes and climate change treatments

Results

Warming had a positive effect on annual N2O fluxes in 2007 (same tendency in 2008)

ACCAE 2010

2007 2008

ANOVA P<0.05 ANOVA ns

Results

Positive effect of soil temperature (Spearman R: 0.643) and rainfall (Spearman R: 0.563) on N2O fluxes

Negative correlation between WFPS and N2O fluxes

(R: -0.250)

Treatments Soil temperature WFPS Rainfall

C 18.65** ** ns ns

T 45.55** ns ** ***

TD 37.77** * * *

Climatic treatments seem to modify relations between N2O fluxes and abiotic factors.

Multiple regression analysis:

Ln(N2O) = a + b*ln(Soil temperature) + c*ln(WFPS) + d*ln(Rainfall)

Abiotic factors and N2O fluxes

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Climate change drivers have different effects on plant biomass production

Warming appears to be the most important climate change driver for this cool upland system

Elevated [CO2] effects are progressive in time

Limited summer drought may be related to ambient weather conditions

No change in species diversity but changes in functional diversity after 3 years of climate change

Decrease in grass abundance under warming mirrors patterns in plant biomass

ACCAE 2010 Conclusions – Part 1

Conclusions – Part 2

N2O fluxes showed limited responses to climate change drivers in our study system.

Greater responses might be expected in more productive grasslands.

N2O fluxes were correlated with soil temperature, WFPS and rainfall

Climate treatments appear to modify the relationship between N2O fluxes and abiotic factors

Long term studies are critical for detecting

progressive effects of climate change on ecosystems

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Thank you for your attention!

Thanks to Deltroy Nicolas, Pichon Patrick, Tardif Antoine and Jouve Amandine

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