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High drought-tolerance of an Eastern Amazon forest: results from a large scale rainfall
exclusion
High drought-tolerance of an Eastern Amazon forest: results from a large scale rainfall
exclusion
Gina CardinotGina Cardinot1,21,2, Daniel Nepstad, Daniel Nepstad2,32,3, Missy Holbrook, Missy Holbrook44 and David Ray and David Ray2,32,3Gina CardinotGina Cardinot1,21,2, Daniel Nepstad, Daniel Nepstad2,32,3, Missy Holbrook, Missy Holbrook44 and David Ray and David Ray2,32,3
The Woods HoleThe Woods Hole
Research CenterResearch Center
Funded by:
11Federal University of Rio de JaneiroFederal University of Rio de Janeiro22IPAM-Amazon Institute of Environmental ResearchIPAM-Amazon Institute of Environmental Research33Woods Hole 3Woods Hole Woods Hole 3Woods Hole RResearchesearch CeCennterter44Harvard UniversityHarvard University
Many Amazon forests are resistant to droughtMany Amazon forests are resistant to drought
to identify thresholds beyond which key aspects of forest structure and function would be altered in important ways
how is drought severity related to flammability?
how is tree mortality influenced by prolonged drought?
Goals:Goals:
What will happen to the Amazon rainforest as rainfall declines?
• A decrease in rates of stem diameter A decrease in rates of stem diameter growth. Stem increment is one of the growth. Stem increment is one of the most sensitive components of NPPmost sensitive components of NPP
• Increase tree mortalityIncrease tree mortality• A decrease in leaf water potential and A decrease in leaf water potential and
increase of xylem damage by increase of xylem damage by cavitationcavitation
• Drought-induced reduction in leaf Drought-induced reduction in leaf area may increase susceptibility to area may increase susceptibility to fire in large forest areasfire in large forest areas
leaf-level physiological measurements,
tree-level water balance determinations (e.g. sapflow)
xylem proprieties
Floresta Nacional do Tapajós map
Seca Floresta Project
(rainfall exclusion experiment)
Study Site Layout
Dry Plot
Wet Plot
Paired 1 ha plotsThe panels cover ~75% of the ground
area and drain into elevated gutters. They are left in place during the ~6 month wet season between January and July.
The treatment prevents ~50% of incoming precipitation from entering the soil.
Baseline measurements were made for 1 yr prior to throughfall exclusion, beginning in Jan 1999
Rainfall exclusion since 2000
ResultsResults
Soil Water (TDR): Surface depletion in Yr 1; depletion at depth Yr 2.
TDR probes under construction.
Deep soil waterDeep soil water
Nov/ 2000
Oct/ 2001
Dendrômetros.
1.7 Mg/ha/yr less carbon accumulation
25% of the Amazon, this would mean 170 million tons of C remaining in the atmosphere each year
Nov/ 2000
Tree mortalityTree mortality
Beginning in May 2002, the middle of the third exclusion period, mortality rates for trees 10-30cm Dbh became elevated in the treatment plot relative to the control. In November 2002 nearing the end of the dry season, trees with >30cm Dbh began to show a similar response .
Tree mortality after 3 exclusion yearsTree mortality after 3 exclusion years
Predawn- Escheweilera pedicellata (Matamatá)
-2
-1.5
-1
-0.5
0
01/2
1/00
03/0
4/00
08/0
6/00
13/0
7/00
10/0
8/00
15/0
9/00
11/0
1/00
11/3
0/00
02/0
6/01
04/0
5/01
05/3
0/01
07/3
1/01
09/2
6/01
11/2
8/01
01/2
9/02
03/2
6/02
05/2
9/02
08/0
2/02
10/0
2/02
11/2
8/02
02/0
4/03
04/0
8/03
Data
LW
P (
MP
a)
Parcela Seca Parcela Controle
Predawn-Coussarea racemosa (Caferana)
-3.5-3
-2.5-2
-1.5-1
-0.50
01/2
1/00
03/0
4/00
08/0
6/00
13/0
7/00
10/0
8/00
15/0
9/00
11/0
1/00
11/3
0/00
02/0
6/01
04/0
5/01
05/3
0/01
07/3
1/01
09/2
6/01
11/2
8/01
01/2
9/02
03/2
6/02
05/2
9/02
08/0
2/02
10/0
2/02
11/2
8/02
02/0
4/03
04/0
8/03
Data
LW
P (
MP
a)
Parcela Seca Parcela Controle
Leaf water potential - PredawnLeaf water potential - Predawn
C.racemosa e E. pedicellata - Estação Seca/98
0102030405060708090
Horas do dia
Sa
p f
lux
de
ns
ity
(g
/m2
/s)
matamata caferana matamata Control caferana Control
E. pedicellata Estação Seca/2002
0
10
20
30
40
50
05:3
6
09:3
6
13:3
6
17:3
6
21:3
6
01:3
6
05:3
6
09:3
6
13:3
6
17:3
6
21:3
6
01:3
6
05:3
6
09:3
6
13:3
6
17:3
6
21:3
6
01:3
6
05:3
6
09:3
6
13:3
6
17:3
6
21:3
6
01:3
6
05:3
6
09:3
6
13:3
6
17:3
6
21:3
6
01:3
6
05:3
6
09:3
6
13:3
6
17:3
6
21:3
6
Hora
Sap
flu
x d
en
sit
y (
g/m
2/s
)
Matamatá dry Matamatá Control
C. racemosa - Estação Seca/2002
0
5
10
15
20
25
05:3
6
09:3
6
13:3
6
17:3
6
21:3
6
01:3
6
05:3
6
09:3
6
13:3
6
17:3
6
21:3
6
01:3
6
05:3
6
09:3
6
13:3
6
17:3
6
21:3
6
01:3
6
05:3
6
09:3
6
13:3
6
17:3
6
21:3
6
01:3
6
05:3
6
09:3
6
13:3
6
17:3
6
21:3
6
01:3
6
05:3
6
09:3
6
13:3
6
17:3
6
21:3
6
Hora
Sap
flu
x d
ensi
ty (
g/m
2/s)
Caferana Dry Caferana Control
Sap
flu
x d
ensi
tyS
ap f
lux
den
sity
LAI
3
3.5
4
4.5
5
5.5
6
6.5
7
7.5
13
/7/2
00
0
13
/9/2
00
0
13
/11
/20
00
13
/1/2
00
1
13
/3/2
00
1
13
/5/2
00
1
13
/7/2
00
1
13
/9/2
00
1
13
/11
/20
01
13
/1/2
00
2
13
/3/2
00
2
13
/5/2
00
2
13
/7/2
00
2
13
/9/2
00
2
13
/11
/20
02
13
/1/2
00
3
13
/3/2
00
3
13
/5/2
00
3
13
/7/2
00
3
Date
LA
I
Dry plot Control Plot
Figura 12. Instrumento para as medidas de LAI.
Poecilante effusa
0.0
0.5
1.0
1.5
2.0
Early dry season Late dry seaon Rain season
Season
Ks
(Kg/
s/m
/MPa
)
seca control
Coussarea racemosa (Caferana)
0.0
0.5
1.0
1.5
2.0
Early dry season Late dry seaon Rain seasonSeason
Ks
(Kg/
s/m
/MPa
)
seca control
Escheweilera pedicelata (Matamatá)
0
0.51
1.5
22.5
3
Early dry season Late dry seaon Rain season
Season
Ks (K
g/s/
m/M
Pa)
seca control
Miconia egensis (Papaterra)
0.01.02.03.04.05.0
Early dry season Late dry seaon Rain season
Season
Ks (k
g/s/
m/M
Pa)
seca control
Xylem – specific conductivityXylem – specific conductivity
Miconia engensis (Melastomataceae)
LWP (MPa)
-7 -6 -5 -4 -3 -2 -1 0
PLC
(%)
0
20
40
60
80
100
Coussarea racemosa (Rubiaceae)
LWP (MPa)
-7 -6 -5 -4 -3 -2 -1 0
PLC
(%)
0
20
40
60
80
100
Poecilanthe effusa (Fabaceae)
LWP (MPa)
-10 -8 -6 -4 -2 0
PLC
(%)
0
20
40
60
80
100
Escheweilera pedicelata (Lecythidaceae)
LWP (MPa)
-6 -5 -4 -3 -2 -1 0
PLC
0
20
40
60
80
100
Vulnerability curvesVulnerability curves
Percent Lost of Condutivity (PLC) vs Leaf water potentialPercent Lost of Condutivity (PLC) vs Leaf water potential
The forest shows a complex responses to drought
These data also help us to refine our forest models