'What's Ahead for the World Agroforestry Centre in 2004 ... van Noordwijk Presentation.pdf ·...
Transcript of 'What's Ahead for the World Agroforestry Centre in 2004 ... van Noordwijk Presentation.pdf ·...
Heringa (1)Heringa (1)• Recent studies in Switzerland on forest and
water show us the way how to protect our economic interests:
• Forests act as a sponge: they absorb the water during the rainy season and gradually release it during the dry season
• Dry season flows really depend on the amount of forest we conserve
• Every catchment needs to have at least 30% of forest, otherwise it cannot provide enough water for the irrigation of rice fields
Roessel (1)Roessel (1)
• Well, well, my dear colleague, Java is not Switzerland.
• Infiltration all depends on the geology: in the lime-stone areas water of Java will infiltrate deeply and emerge in springs after some months – this feeds the dry season flows, not the forest
• Because of that, there is no such thing as a minimum forest cover
Heringa (2)Heringa (2)
• Java is becoming deforested, the results is droughts and floods – the government should start a program of reforestation: it should acquire land from abandoned estates or farmers and plant trees!
• Planting trees will also provide direct economic benefits to the government
Roessel (2)Roessel (2)
• You are jumping to conclusions here –planting trees will not change the geology of the landscape, and will not help on dry season flows.
• To reduce erosion, other measures, such as terracing, infiltration pits and soil cover have proved insufficient
• Reforestation should only be carried out if certain soil types expose extreme susceptibility to erosion
Coster (1)Coster (1)
• Both of you are right, to a degree – but we need to look at data from experiments. At the Forest Research Institute here at the Gunung Batu complex we have started a program of measurements.
• The vegetation determines the permeability of the soil.
• Discharge of springs depends on the amount of water that percolates into the soil minusthe loss of water because of evaporation.
Heringa (3)Heringa (3)
• Afforestation with fast growing timber trees has the same hydrological effect as natural forest and is always better than agricultural estates – we need to plant trees to have water for the rice paddies
Coster (2)Coster (2)
• The effect of forests on water depends on the elevation. Lysimeter measurements indicated that the evaporation of a free soil surface 1200, 900 and 600 mm per year at locations with an elevation of 250, 1500 and 1750 m a.s.l., respectively
Roessel (3)Roessel (3)
• In fact, forests without undergrowth and without good humus formation are not helping. A soil cover with grass, dense herbaceous or shrubby vegetation, however, will be much more effective – it’s not the trees, but the soil cover that matter
Coster (3)Coster (3)
• Measurements by the Forest Research Institute showed that well maintained tea, coffee, rubber and kina plantations are from a hydrological point of view nearly the same as forests (planted or natural) – all are better than agricultural fields.
• Fires in the grass wilderness in the mountains stimulate water run off and erosion.
Heringa (4)Heringa (4)
• In summary, your arguments don’t convince me at all: the problems with ‘watershed functions’ are really urgent and they can be cured with reforestation, so let’s get started!
Coster (3)Coster (3)
• Afforestation in the low lands will decrease the discharge (including that in the dry season), because of the high evaporation rate from the trees
• In the mountains, however, the loss by transpiration is less and the rainfall is higher, so the net effect of trees is positive: the increased infiltration into the soil more than offsets the increased water use by trees
• We need better data !
or – what can we do to help people and institutions adapt to the rapid changes in lives and landscapes
i n S o u t h E a s t A s i a
Bridging between local, policy and Bridging between local, policy and modellersmodellers’’ perceptions of trees, forests perceptions of trees, forests
and watershed functionsand watershed functions
Meine van Noordwijk, Laxman Joshi, Ai Farida & Kevin JeansICRAF-SEA, Bogor, Indonesia
LocalEcologicalKnowledge
Modellers’EcologicalKnowledge
Public/PolicyEcologicalKnowledge
Based on ‘categories’
Based on ‘processes’
direct ‘observables’
includes balance sheets
Lawscity
Localgovt
Nationalgovt
USLE
engineers
GuestEcohydro-
logist
womenmen
women
menlowland
upland
stem-flow
through-fall
rainfall cloudinterception
lateraloutflow
percolation
rechargeinfiltration
surfaceevaporation
transpiration
canopy waterevaporation
uptake
quick-flow
baseflow
{
surface run-on
sub-surfacelateralinflow
surface run-off
Stream:
the trees use water
What matters most in AF:
Strategic landscape position of ‘filters’can greatly reduce downstream effects
Their litter protects soil & infiltration
Traditional image of Southeast Asia
Forest
People Agricultural lands
Conservation
Protective
Production
Forest
Upland cropsPaddy rice
Tree crops
Plantations
Farming systems1 = Lowland rice2= Tree crops3= Root & tuber4= Upland intensive mixed5= Highland mixed7= Pastoral8= Forest
:Source: ‘Farming Systems and Poverty: improving farmers’ livelihoods in a changing world’ by John Dixon,
Aidan Gulliver and David Gibbon, 2001; FAO and World Bank
Fraction of Indonesia's population
Rice&Cities below UCM
Root tuber
Rice&Cities below forest
UCM below tree crops
Upland crop mosaic (UCM)
Tree crops
Tree crops below forest
Forest below UCM
Forest below tree crops Root tuber
below forest
Forest
Tree crops below UCM
UCM below forest
Rice&Cities
5%
50%25%
‘Forest’Cover B C W
Forest
conservation
protection
production
Intensive agriculture
Tree plan-tations
Agrofor-estry/ eco-agriculture
Agricultural lands
Conservation
Protective
Production
Forest
Upland cropsPaddy rice
Tree crops
Plantations
Tree crops
Poverty
Strong links between watershed functions & biodiversity: every catchment needs 30% forest cover
Clean water needed for biodiversity
Cause
SolveINRM
Problem analysisProblem analysis
Four stages in developing ES reward mechanismsStage Providers,
sellers of ESInterme-diaries
Beneficies, buyers of ES
Scoping Rapid As-sessment of
Marketable ESIdentifying partnersNegotia-tionsMonitoring agreement
II
I
III
IV
RUPES = Rewarding Upland Poor for the Environmental Services they provide
10 steps in bridging perspectives & action10 steps in bridging perspectives & action1. Characterization & diagnosis
of problems and issues
2. Landscape appraisal
3. Understanding the flows of water
4. ASB-matrix characterization of land use options from private/ social economic perspectiveand local/global ES impacts
5. Characterization of landscape mosaic on segregate – inte-grate spectrum
6. Tradeoffs between relative agronomic function (RAF) and relative environmental function (REF)
7. The landscape mosaic in the context existing regulation and incentives at community scale
8. Patterns and land use practi-ces from a multi-stakeholder (incl. gender and equity)perspective
9. Clearing misunderstandings between local, policy and scientific knowledge
10. Negotiated agreements, monitoring compliance
1. 1.Characterization(rainfall, population density, migration status, main agri-cultural enterprises)
and
diagnosis of main issues and problems related to watershed functions and livelihoods (incl. sources of drinking water
Rainfall (mm/yr) 1,074
People/km2 54.6 (5,251/96.1)
Income/occupation Field crop (Corn, Soybean)Vegetable (Cabbage, Shallot, Green Soybean,
Drinking water Rain and stream
Problem -Drought-Accessibility (infrastructure, market, etc.)-Landslides/Erosion-Conflict (landuse, water,..etc.)
Mae SukWatershed
Bekas Daerah Terkena Banjir dengan Kedalaman Profil Sungai Dangkal
Kali Tundo (S Malangdistrict, E Java) – recent
landslides & banjir, Brawijaya investigates
Land use change in ‘coffee zone’
Sumber Jaya, Lampung, Indonesia
Is there a problem with ‘watershed functions’?
A tale of two rivers
Way Besai (Indonesia), 2.5 m rainfall, 100 persons km-2
Mae Chaem (Thailand),1.5 m rainfall, 10 persons km-2
0
20
40
60
80
100
120
0 50 100 150 200 250 300 350Day of year
Riv
er d
ebit,
m3 s
-1
020406080
100120140160180
0 100 200 300Day of year
Dai
ly ra
infa
ll (s
tatio
n le
vel),
mm
0
10
20
30
40
50
60
70
80
90
0 100 200 300
Day of year
Dai
ly ra
infa
ll (s
tatio
n le
vel),
mm
0
100
200
300
400
500
600
0 50 100 150 200 250 300 350
Day of year
Riv
er d
ebit,
m3 s
-1
Riv
er fl
ow
Rai
nfal
l
The hydro-electric dam wants as many days as possible with a debit of >= 25 m3/s
0
50
100
150
200
250
300
350
400
5 10 15 20 25 30 35 40 45
Target debit, m3/s
#day
s ta
rget
is m
et
1975 1976 1977 1978 1979 1980 1981 1982 1983 1984 1985 1986 1987 1988 1990 1991 1992 1993 1994 1995 1996 1997 1998 Average
and they are better off now than when the dam was designed, due to the land cover change.....
Water balance Sumberjaya (mm)Water balance Sumberjaya (mm)
Component 1975 1980 1985 1991 1995Rain 2531 2797 2959 2459 2663Evapo-transpiration 1162 1119 1166 741 662Quick-flow 237 293 382 374 342Base-flow 1132 1385 1411 1344 1659%Quickflow 17 17 21 22 17
data PU dianalisa oleh Prof. NaikSinukaban dan Dr. Tarigan, IPB
50% of catchment still forested
Only 10% still forested
0
5
10
15
20
25
30
0 20 40 60 80 100 120 140Rainfall, mm day-1
Riv
er fl
ow, m
m d
ay-1
1975-19811982-19881990-19981st quarter2nd quarter3rd quarter4th quarter
Way Besai
Mae Chaem
Wettest month in Mae Chaem is
approaching Way Besai
Mae Kong Kha Watershed
Adapted from M.R. Smansnid Svasti
3. Understanding the flows of water and consequences for lateral flows (entrainment, filtering) of soil, nutrients, pollutants etc. 1
4
2
3
5
WaNuLCAS model
Zone 1 Zone 2 Zone 3 Zone 4
Layer 1
Layer 2
Layer 4
Layer 3
Lateral inflows
Vertical drainage
Lateral outflows
Vertisols
00.10.20.30.40.50.60.7
Nat
ural
fore
st
Agr
icul
ture
Deg
rade
d
Mollisols
00.10.20.30.40.50.60.7
Natural
fores
tAgric
ulture
Degrad
ed
SoilQflowPlantAvInacceess.
Alfisols
00.10.20.30.40.50.60.7
Natural
fores
tAgric
ulture
Degrad
ed
Andisols
00.10.20.30.40.50.60.7
Natural
fores
tAgric
ulture
Degrad
ed
Natural
fores
tAgric
ulture
Degrad
ed
Inceptisols
00.10.20.30.40.50.60.7
Natural
fores
tAgric
ulture
Degrad
ed
Oxisols
00.10.20.30.40.50.60.7
Natural
fores
tAgric
ulture
Degrad
ed
Entisols
00.10.20.30.40.50.60.7
Natural
fores
tAgric
ulture
Degrad
ed
Aridisols
00.10.20.30.40.50.60.7
Natural
fores
tAgric
ulture
Degrad
ed
Ultisols
00.10.20.30.40.50.60.7
Spadosols
00.10.20.30.40.50.60.7
Natural
fores
tAgric
ulture
Degrad
ed
Pedotransfer functions – assuming BD/BDref 0.7 , 1.0 , 1.3
Ultisols
00.10.20.30.40.50.60.7
Natural
fores
tAgric
ulture
Degrad
edLoss of ‘soil-quickflow’ =>
more overland flow
Loss of plant-available water
Visualizing macroporosity:
Blue dye infiltration
Earthworms make macropores
4. Characteristics of land use systems as re-gards yield/labour/cash input requirements/ profitability and impacts on water flows (eva-potranspiration, impacts on soil compaction, surface cover)
Forest
Multistrata coffee
Simple shade coffee
Sun coffee
Vegetables
Ricefields
# pplesupported
m-2
Returns to labour
(private)
Returns to labour(social)
Annual water use
Effects on soil
BD
precipitation
infiltration
interception
Esoil + Eveg
Einterc
Qslow
Qquick
Energy-limited evapo-
transpiration potential
Modification along river
A
BPrecipitation = P
Evapotranspiration = ERiver flow = Q
Qquick Qslow Eveg Esoil EirrigEinterc
Irrigation = I
Infiltration into the soil
Green canopy
Overland flow
Precipitation = P
Evapotranspiration = ERiver flow = Q
Qquick Qslow Eveg Esoil EintercEirr
Infiltration ~ soil structure
Sprinkler irrigation ~ air humiditySoil evaporation ~
soil cover (mulch)
Interception ~ leaf area index
(Deep) water uptake ~ phenology
1. Transmit water2. Buffer peak rain events3. Release gradually4. Maintain quality5. Reduce mass wasting
• Q/P=1-(E/P)• ΣQabAvg/ΣPabAvg
• Qslow/P = (Pinf – ES+V)/P• Qualout/Qualin
• ∆ risk
Scaledependent
GenRiver Overview
GenRiver – Generic River model on
River Flow
For homogeneous or Patchy rain…
3. Subsurface flow into streams: ‘interflow’ or ‘soilquickflow’
1. Interception & evaporation from wet surfaces
2. Overland flow into streams: quickflow 1
2
3
Soil quickflow: drain towards ‘field capacity’
SoilQuickFlow: Max(0,Soil- FieldCap)
Saturation
SaturationGW store
Percolation Fraction
GW release Fraction Baseflow
FC
‘Two-tank model’
RootZonestore
5. Characterization of landscape mosaic on segregate – integrate spectrum, and consequen-ces for the way productive and environmental functions are being met
Mae Kong Kha Mae Suk
vegetative filter stripField runoff
Permanent forest
paddy rice:paddy rice: a major sediment filtera major sediment filter
fieldrunoff
Forest fallow
Thailand
How much sediment really goes downstream??
Tools for understanding landscapeTools for understanding landscape--level functionslevel functions
Innovation: Innovation: NilamNilam((PogostemonPogostemon) strips as ) strips as
vegetative filters in coffee vegetative filters in coffee by HKM farmers, by HKM farmers, Sumberjaya 2004Sumberjaya 2004
Relative agricultural function (RAF)
Rel
ativ
e ec
olog
ical
func
tion
(RE
F)
AInitial use
BDegra-dation C
Rehabilitation
ECritical loss of ecological functions
DIntensification by tech-
nical substitution of ecological functions
6.Tradeoffs between relative agro-nomic function (RAF) and relative environmental function (REF)
c
f
Litter layer k1
t
k2
Litter input
Decay of woody roots
BD/BDref Corg/Cref
Worm population
G-D
Land use practices
Root turnover
Soil compaction by trampling & slaking
quantity quality
Soil tillage
Macropores SOM
Inherent soil proper-ties (incl. texture)
7. Analyzing the existing patterns and land use practices from a multi-stakeholder (incl. gender and equity) perspective
Volc.ash
Volc.ash
Tuff&Volc.lava
Tuff+lava+ash
Tuff+
lava+
ash
Tuff
Rana
u
Tuff&Ash
Tuff&Volc.lava
Granite
Colv.ash+ Volc.tuff
Basalt
Parent materials Parent materials
Low
Medium
High
LU intensity
Eros
ion
rate
8. Understanding the existing problems and conflicts at the level of local, policy and scientific knowledge: is there a shared perspective (but possibly different apprecia-tion of the various outcomes) or is there a need for ‘levelling off’ as first step in nego-tiations
LEK MEK
PEKLocal Ecological Knowledge
Public/Policy Ecological Knowledge
Modellers’ Ecological Knowledge
Paningahan –Nagari with good gover-nance, forest protection, interest in rehabilitation
Lake Singkarak
Can/should they get bigger share in hydroelectricity royalties as PES?
LEK Result on water source
Pine
Needles leaf
Fire Cutting Deep root
Land coverage
Soil evaporation
Groundwater
Water Source
Used for fire wood and hut
Tree density
Banio, Surian, Bayua, Madang(Natural Forest)
Big leaf
Crop Grass
Season
Soil type
Ombilin river -> Indragiri (Riau)
HEPPPLTA Singkarak
Scenarios for 3 scales
012345678
Natural
Forest
Current L
U mix
Sev.D
egra
ded
mm
day
-1HEPP water use
River Outflow
Lake Evaporation
Transpiration
Interception
GenRiver1.1 calculations for Lake Singkarak
Rehabilitasi Hutan
Pengkayaan Vegetasi
Kebun Lindung II
Kebun Lindung I
Kali Tundo case study
Brawijaya team
STOP
TAX
PAY
Baseline of acceptable behaviour
Regulation of unacceptable behaviour
10. Follow up to ne-gotiated agree-ments, monitoring compliance and impact on environ-mental services and peoples’ livelihoods
10 steps in bridging knowledge10 steps in bridging knowledge1. Characterization & diagnosis
of problems and issues
2. Landscape appraisal
3. Understanding the flows of water
4. ASB-matrix characterization of land use options from private/ social economic perspectiveand local/global ES impacts
5. Characterization of landscape mosaic on segregate – inte-grate spectrum
6. Tradeoffs between relative agronomic function (RAF) and relative environmental function (REF)
7. The landscape mosaic in the context existing regulation and incentives at community scale
8. Patterns and land use practi-ces from a multi-stakeholder (incl. gender and equity)perspective
9. Clearing misunderstandings between local, policy and scientific knowledge
10. Negotiated agreements, monitoring compliance
Kulekhani
Singkarak
Sumberjaya
Bungo
Kalahan
Manila
Bhakun
Action research sites
Watershed functions
BiodiversityCarbon stocks