Yadvinder Malhi - PowerPoint PPT Presentation

1 / 92
About This Presentation
Title:

Yadvinder Malhi

Description:

Yadvinder Malhi – PowerPoint PPT presentation

Number of Views:30
Avg rating:3.0/5.0
Slides: 93
Provided by: yadvind
Category:
Tags: ddt | malhi | yadvinder

less

Transcript and Presenter's Notes

Title: Yadvinder Malhi


1
Padrões espaciais e mudanças temporais
na dinamica e biomassa de florestas
Amazônicas Resultados da rede RAINFOR
Yadvinder Malhi School of Geography and the
Environment, University of Oxford Email
ymalhi_at_ouce.ox.ac.uk
2
(No Transcript)
3
How will Amazonian forests be affected by the
changes occurring in the 21st Century
atmosphere, and how will they affect the
atmosphere ?
Caxiuana, Brazil
4
The 21st Century Atmosphere
Carbon Dioxide Temperature Rainfall
5
Atmospheric carbon dioxide 1000 AD to 2000 AD
Source Intergovernmental Panel on Climate Change
6
Atmospheric carbon dioxide 1000 AD to 2100 AD
Source Intergovernmental Panel on Climate Change
7
Atmospheric carbon dioxide since the demise of
the dinosaurs
Source Pearson and Palmer, 2000, Nature
8
Temperature
9
Trends in mean temperature in tropical rainforest
regions 1975-1998
Malhi and Wright (2004), Philosophical
Transactions of the Royal Society Spatial
patterns and recent trends in the climate of
tropical rainforest regions
10
Tropical land surface temperatures 1900-2100 AD
Cramer et al (2004), Philosophical Transactions
of the Royal Society
11
Rainfall
12
(No Transcript)
13
Tropical Deforestation
14
Northern Bolivia, Sep 14th 2004
15
West Amazonia, Sep 14th 2004
Leticia
Santa Cruz, Bolivia
16
Amazon Scenarios
2000
Source D. Nepstad
17
Amazon Scenarios
2010
Source D. Nepstad
18
Amazon Scenarios
2020
Source D. Nepstad
19
Amazon Scenarios
2030
Source D. Nepstad
20
  • Tropical forests and the global carbon cycle

Huanchaca, Bolivia
21
Carbon Cycling by the Biosphere and OceansGt C
( billions of tons of carbon)
Atmosphere 730
Other Vegetation 1100
Tropical Vegetation 900
Oceans 38000
Lithosphere
22
Carbon Cycling by the Biosphere and OceansGt C
( billions of tons of carbon)
Atmosphere 730
50
70
90
Other Vegetation 1100
Tropical Vegetation 900
Oceans 38000
Lithosphere
23
Carbon Cycling by the Biosphere and OceansGt C
( billions of tons of carbon)
Atmosphere 730 (3.2 year-1)
6.4
50
90
70
Other Vegetation 1100
Tropical Vegetation 900
Oceans 38000
Lithosphere
24
Carbon Cycling by the Biosphere and OceansGt C
( billions of tons of carbon)
Atmosphere 730 (3.2 year-1)
6.4
50
90
1.7
70
Other Vegetation 1100
Tropical Vegetation 900
Oceans 38000
Lithosphere
25
Carbon Cycling by the Biosphere and OceansGt C
( billions of tons of carbon)
Atmosphere 730 (3.2 year-1)
6.4
50
70
90
1.7
1.7
Other Vegetation 1100
Tropical Vegetation 900
Oceans 38000
Lithosphere
26
Carbon Cycling by the Biosphere and OceansGt C
( billions of tons of carbon)
Atmosphere 730 (3.2 year-1)
6.4
50
70
90
1.7
1.6?
1.6?
1.7
Other Vegetation 1100
Tropical Vegetation 900
Oceans 38000
Lithosphere
27
Why would vegetation be taking up
atmospheric carbon dioxide ?
28
A Modelled Estimate of the CO2 Fertilisation
Effect
1 mol C m-2 0.12 t C ha-1
Lloyd (1999), Functional Ecology
29
How could the 21st century atmosphere affect the
remaining forests ?
Marajo, Brazil
30
How might tropical forests respond to
atmospheric change ?
Option 1 enhanced forest growth and
dynamics Option 2 forest die-back Option 3 no
change
Kosnipata, Peru
31
Option 1 enhanced forest growth and dynamics
32
Option 1 enhanced forest growth and dynamics
High CO2 enhances photosynthesis, growth and root
dynamics
33
Option 1 enhanced forest growth and dynamics
High CO2 improves water-use efficiency,
mitigates dry season
34
Option 1 enhanced forest growth and dynamics
Rising temperatures accelerate nutrient recycling
in soil
35
Option 2 forest dieback
Rising temperatures increase water stress in
canopy
36
Option 2 forest dieback
Rising temperatures increase metabolic costs of
plant, increase respiration and hydrocarbon
loss and reduce biomass productivity
37
Option 2 forest dieback
Persistent El-Nino like conditions reduce
rainfall in many tropical regions
38
Option 2 forest dieback
Slow-growing plants are out-competed by
fast-growing, low biomass species, e.g. lianas
39
Option 3 no change
40
Field Studies of AtmosphericImpacts on the
Amazon Forest
41
Long-term monitoring ofForest biomassForest
dynamicsForest species composition
Suriname
42
The RAINFOR Project
Red Amazonica de Inventarios Forestales Rede
Amazonica de Inventarios Florestais The Amazon
Forest Inventory Network
www.geog.leeds.ac.uk/rainfor Malhi et al, An
international network to understand the biomass
and dynamics of Amazonian forests
(RAINFOR) Journal of Vegetation Science, 2002
43
ATIVITIDADES DE RAINFOR
  • INVENTARIOS
  • FLORESTAIS
  • (DE BOTANICA E
  • ESTRUTURA)
  • Objetivos
  • Entender a variabilidade espacial
  • na dinamica da floresta Amazônica.
  • (ii) Estabelecer se as florestas Amazonicas
  • estão mudando no tempo
  • (na strutura, biomassa, composição,
  • e dinamica).
  • Foco em parcelas já estabelecidas.

IQUITOS, PERU, JAN 2001
44
ATIVIDADES RAINFOR
2. AMOSTRA DE NUTRIENTES EM FOLHAS E SOLOS
OBJETIVO Desenvolver uma dataset
pan-Amazonica de nutrientes de solo, com
protocolos padronizados de amostra e de analise
em laboratorio.
IQUITOS, PERU, JAN 2001
45
Tapajos, Brazil
46
3. MEDIDA DE STRUTURA DA FLORESTA (ALOMETRIA,
INDICE DE AREA FOLIAR)
NOEL KEMPFF NATIONAL PARK, BOLIVIA, JUNE 2001
47
(No Transcript)
48
Length of dry season
Derived from the New et al 2001 dataset
49
Soils
Sources Cochrane (2003), Sombroek (2001)
50
What have we found ?
New insights into the large-scale ecology of
Amazonia Evidence of changes in recent decades
51
There is immense spatial variability in the
structure,dynamics and biodiversity of Amazonian
forests
52
ALTA FERTILIDADE
ALTA SAZONALIDADE
Malhi et al, The above-ground coarse wood
productivity of 104 Neotropical forest plots,
Global Change Biology, in press
53
Tree Growth Rates
Malhi et al, The above-ground coarse wood
productivity of 104 Neotropical forest plots,
Global Change Biology, in press
54
The gradient in wood productivity probably
does NOT reflect a gradient in forest
photosynthesis
55
Mercado et al, in prep
56
The fraction of its photosynthesis that a
forest allocates to wood is NOT constant, but
varies threefold across our plots
57
Fractional Allocation of Photosynthesis to Wood
58
Fractional Allocation of Photosynthesis to Wood
Brazil
59
Fractional Allocation of Photosynthesis to Wood
Ecuador
Brazil
60
The Carbon Allocation of Tropical Forests
Photosynthesis 100
Leaf production 10-30 ?
Above-ground biomass 5-15
Respiration 50-70 ?
Below-ground biomass 1- 5 ?
Fine-root production 10-30 ?
61
Intensive Studies of Carbon Allocation
62
Photosynthesis 100
Canopy 10-30 ?
Above-ground biomass 5-15
Respiration 50-70 ?
Below-ground biomass 1- 5 ?
Fine-root turnover 10-30 ?
63
Amacayacu, Colombia
64
Photosynthesis 100
Canopy 10-30 ?
Above-ground biomass 5-15
Respiration 50-70 ?
Below-ground biomass 1- 5 ?
Fine-root turnover 10-30 ?
65
Amacayacu, Colombia
66
Photosynthesis 100
Canopy 10-30 ?
Above-ground biomass 5-15
Respiration 50-70 ?
Below-ground biomass 1- 5 ?
Fine-root turnover 10-30 ?
67
Amacayacu, Colombia
68
(No Transcript)
69
(No Transcript)
70
Photosynthesis 100
Canopy 10-30 ?
Above-ground biomass 5-15
Respiration 50-70 ?
Below-ground biomass 1- 5 ?
Fine-root turnover 10-30 ?
71
Caxiuana, Brazil
72
Amacayacu, Colombia
73
Forests that grow fast, die young
74
Integrated residence time of Amazon forest
biomass 55 years
75
(No Transcript)
76
Slower growing forests have high mean
wood density, and higher biomass
Tree community ecology matters
Baker et al, Woody density drives
regional patterns of Amazon forest
biomass, Global Change Biology, 2004
77
FOREST BIOMASS PER UNIT BASAL AREA
78
AREA BASAL ESTA CORRELACIONADO COM DURAÇÃO DA
ESTAÇÃO SECA
79
BIOMASSA AEREA
biomassa aerea viva total 91-95 Pg C (Media
315-335 t peso seco ha-1)
80
(No Transcript)
81
The dynamics of forests appear to
have accelerated over recent decades
Kosnipata, Peru
82
The forests appears to be accelerating in growth
over time
12
11
10
Biomass growth rate, t / ha / year
9
8
1983
1985
1987
1989
1991
1993
1995
1997
1999
2001
Year
Phillips et al. (2004), Patterns and process in
Amazon tree turnover 1975-2000, Philosophical
Transactions of the Royal Society
83
Florestas primarias estão acumulando biomassa e
também a taxa de acumulação e relacionado com a
fertilidade do solo.
84
  • A possible explanation may be that
  • an external driver is accelerating forest
    productivity
  • internal dynamics of the forest (allocation to
    wood, shifts in community ecology or forest
    structure) are amplifying this effect
  • this in turn is accelerating tree death

Net C sink
Accelerated tree growth
Lagging accelerated tree death
85
Effects on global climate
86
Barro Colorado, Panama
So for the moment old growth forests appear to be
growing slightly bigger and growing and dying
much faster
Is this a good thing ?
What are the consequences for forest ecology and
biodiversity ?
87
Lianas
88
1990
2000
1980
Phillips et al, 2002, Nature
89
Liana leaf litter fraction is increasing on Barro
Colorado Island, Panama
1985 1990 1995 2000
Wright et al. Ecology (2004)
90
Fast growing trees vs. slow-growing trees
91
Fast growing trees vs. slow-growing trees
92
  • For 18 ha of dispersed plots in old-growth forest
    in central Amazonia
  • The rate of tree growth has accelerated for
    almost all tree genera since the mid-80s
    (consistent with what we are seeing across
    Amazonia)
  • Many larger canopy and emergent trees, but not
    pioneer species, have increased in abundance
  • Slower-growing genera (including many old-growth
    understorey trees) have declined in abundance
  • The pattern is most likely explained by rising
    CO2, although other factors cannot be ruled out
Write a Comment
User Comments (0)
About PowerShow.com