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Title: Corporate ppt template


1
Vegetation dynamics in simulations of
radiatively-forced climate change Richard A.
Betts, Chris D. Jones, Peter M.
Cox chris.d.jones_at_metoffice.com Met
Office Hadley Centre for Climate Prediction and
Research Terrestrial Carbon Sinks Workshop,
Wengen, Sept. 2002
2
Simulating global vegetation in the Hadley Centre
coupled climate-carbon cycle model
  • Compare simulated vegetation with global
    observational datasets
  • In simulations of future global change,
    investigate interactions and feedbacks
  • direct effects of CO2 on vegetation
  • biogeophysical feedbacks (through water cycle)
  • biogeochemical feedbacks (through carbon cycle)

3
Hadley Centre Coupled Climate-Carbon Cycle Model
(Biogeophysical)
(Biogeochemical)
4
TRIFFID vegetation model
  • Competition between 5 plant functional types
  • Broadleaf tree, Needleleaf tree, C3 grass, C4
    grass, shrub
  • Carbon balance computed within GCM land surface
    scheme
  • Interacts with atmospheric CO2
  • Vegetation distribution and leaf area determine
    land surface characteristics in atmosphere model

5
TRIFFID-GCM coupling
Photosynthesis, respiration, transpiration
(30 minutes)
Litter (1 day)
Broadleaf Tree
Shrub
C3 Grass
LAI, albedo, roughness(1 day)
Soil
Competition (10 days)
6
Coverage of vegetation types, control simulation
Fraction of gridbox
7
Vegetation cover simulated - observed (IGBP-DIS)
Fraction of gridbox
8
Surface temperature changes (K)relative to
200030-year means
9
Precipitation changes relative to 2000mm
day-130-year means
2020
2050
2080
10
Changes in tree coverGridbox fraction
11
What is the role of plant physiological responses
to CO2?
  • TRIFFID includes direct effects of CO2 on
    vegetation
  • CO2 fertilization
  • size of stomatal openings
  • 3 simulations, IS92a concentration scenario
  • (a) CO2 exerts radiative forcing only
    (vegetation given constant present-day CO2)
  • (b) CO2 exerts radiative and physiological
    forcings (vegetation responds directly to
    rising CO2)
  • (c) Other GHGs included as well as CO2

12
Broadleaf tree Net Primary Productivity(NPP) in
central Africa
13
Changes in broadleaf tree cover due to
physiological responses to CO2
14
Precipitation difference (mm day-1)due to plant
physiological responses to CO2
15
How do biogeophysical feedbacks affect Amazon
drying?
  • Changes in land surface characteristics
  • albedo
  • moisture availability (roots, canopy)
  • aerodynamic roughness
  • 2 simulations, IS92a GHG concentration scenario
    (prescribed CO2 and other GHGs)
  • (a) Vegetation fixed at present-day state
  • (b) Dynamic vegetation updates land surface
    characteristics
  • NB. No direct anthropogenic deforestation-
    natural responses only

16
Precipitation changes (mm day-1) due to
biogeophysical feedbacks
17
How do carbon cycle feedbacks affect Amazon
drying and dieback?
  • Further simulation fully interactive carbon
    cycle
  • IS92a emissions scenario
  • atmospheric CO2 calculated within GCM
  • (other GHGs prescribed)
  • vegetation and soil feedbacks on CO2
  • physical and biological ocean carbon feedbacks on
    CO2

18
Vegetation soil carbon changesGtCInteractive
CO2
19
Effects of climate-carbon cycle feedbacks on
atmospheric CO2 rise
with CO2-climate feedbacks
1000
without CO2-climate feedbacks
800
CO2 concentrations (ppmv)
600
400
200
1900
1950
2000
2050
2100
20
Effects of climate-carbon cycle feedbacks on land
temperature rise
8
with CO2-climate feedbacks
without CO2-climate feedbacks
6
4
Temperature rise (C)
2
0

2
1850
1900
1950
2000
2050
2100
21
Further precipitation changes with CO2-climate
feedback(compared to prescribed CO2 dynamic veg
simulation)mm day-130-year means
22
Further changes in tree cover with CO2-climate
feedbacksGridbox fraction
23
Broadleaf tree cover (gridbox fraction) in
coupled climate-carbon cycle simulation
24
Conclusions
  • CO2 physiological effects enhance NPP through
    fertilization but also exert climatic effect
  • relative importance for vegetation varies from
    place to place
  • Biogeophysical feedbacks modify local climate
    change
  • enhance Amazon drying
  • Carbon cycle feedbacks accelerate global climate
    and vegetation change
  • enhance Amazon drying and dieback
  • Vegetation carbon sink may not be robust to
    climate change
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