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International conference Millennium Assessment: Bridging scales and epistemologies. Cross-scale Assessment of Biodiversity ; Opportunities and Limitations of the GLOBIO3 model and the Natural Capital Index (NCI) framework. New Challenges. Millennium development Goals Johannesburg 2010 target - PowerPoint PPT Presentation
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Cross-scale Assessment of Biodiversity;
Opportunities and Limitations of the GLOBIO3 modeland the Natural Capital Index (NCI) framework
International conference Millennium Assessment: Bridging scales and epistemologies
2
Cross-scale Assessment of Biodiversity|
Tonnie Tekelenburg, Malki Saenz and Rob Alkemade
New Challenges
• Millennium development Goals• Johannesburg 2010 target• CBD biodiversity indicators • Applications in the MA• National (BINU) and regional EU /
OECD applications
3
Cross-scale Assessment of Biodiversity|
Tonnie Tekelenburg, Malki Saenz and Rob Alkemade
Outline presentation
Previous work GEO3 and PEEPland use change
agricultural intensityclimate change
GLOBIO 3 applied to Latin AmericaBiodiversity Assessment Ecuador
Upscaling national to globalDownscaling global to national
2010 targetGlobal interactive research
4
Cross-scale Assessment of Biodiversity|
Tonnie Tekelenburg, Malki Saenz and Rob Alkemade
Key questions to be addressed by GLOBIO 3
• What is changing:– biodiversity (ecosystems, species and their abundance)– natural areas– expected trends (scenario’s)– geographically explicit– most vulnerable areas
• Why is it changing– different pressures – relative importance of pressures
• What can we do about it– effects of response options (e.g. to reach policy targets)
5
Cross-scale Assessment of Biodiversity|
Tonnie Tekelenburg, Malki Saenz and Rob Alkemade
Comparison pressure indices:Global (GEO3) and Regional EU (Peep)Pressure specifications for the European and world biodiversity assessment
(summarised from ten brink 2000; UNEP 2002 and UNEP 2003)
Type ofpressure
Pressure specifications Europe World
1 Disturbance Population density: 10-150 persons per km² X x2 Pollution
(general)Primary energy use: 0,05 – 1000 Peta joule / km²
x
3 Pollution(general)
Consumption and production:GDP: 0-6,000,000 $US / km²
X
4 Pollutionspecific
Acidification: deposition 1-5 x critical loadX
5 Pollutionspecific
Eutrophication: 1-5 x critical loadX
6 Pollutionspecific
Exposure to high ozone concentration: AOT40: 1-5 xcritical load
X
7 Climatechange
Rate of temperature change: 0,2-2,0º Celsius in 20-yearperiod
X
8 Rate of temperature change: 0,1-1,0º Celsius in last 10-year period of assessment year (20030)
x
9 Isolationnature
Fragmentation: 64%-1% natural area within 10 kmX
10 Natureregeneration
Effects of time past after clear-cutting of forest orabandoning agricultural practice: min-max range 0-100years of regeneration (with positive memory effect))
x
11
6
Cross-scale Assessment of Biodiversity|
Tonnie Tekelenburg, Malki Saenz and Rob Alkemade
Contrasting trends of biodiversity impact: forest in EU
100%
50%
0% 50% 100%
Ecosystem Quantity as percentageof area of Europe
Eco
syst
em Q
ualit
y
2859
47
Natural Capital Index trends ofEuropean forest ecosystems
34
= Sustainability
First 2010
= GEO 3 2000
= PEEP 1990
= SustainabilityFrist 2030
= Market First 2010
= Market First 2030
1545
7
Cross-scale Assessment of Biodiversity|
Tonnie Tekelenburg, Malki Saenz and Rob Alkemade
Suggestions for improvements
Methodology for construction of pressure indicesConsidering agricultural landscapes (agroecosystems)
dose-respons relationships from species abundance literatureUpscaling local information
Downscaling global information
8
Cross-scale Assessment of Biodiversity|
Tonnie Tekelenburg, Malki Saenz and Rob Alkemade
B = LU * Agr* For * C * N * F
B = Biodiversity of a regionLC = biodiversity value for land cover typeAgr = biodiversity reduction due to agricultureFor = biodiversity reduction due to forestryC = biodiversity loss due to climate changeN = biodiversity loss due to Nitrogen pollutionF = biodviversity loss due to Fragmentation
Overall Biodiversity
9
Cross-scale Assessment of Biodiversity|
Tonnie Tekelenburg, Malki Saenz and Rob Alkemade
Data flow in the Global Biodiversity Model
Geographicalunits
Relief
Soil type
Pollution
Climate andclimate change
Land useand naturalremnants
Road fragmentation
Naturemanagement
Exploita tion
Waterextraction
Production management
Protection of natural
ecosystems
Human conflicts
Natural haza rds
Diseases,invasive species
Fire
Rule based model
Riskassessment
Abiotic productionconditions
Externalpressures
Internalcomposition landscape
Measures toimprovebiodiversity
Measures thataffectbiodiversity
Disturbances
10
Cross-scale Assessment of Biodiversity|
Tonnie Tekelenburg, Malki Saenz and Rob Alkemade
Biodiversity impact from land use change
Urb
an, b
uilt
up
Cul
tivat
ed
For
est p
lant
atio
n
Pas
ture
Deg
rade
d
Ligh
t use
Prim
ary
-0,5
0
0,5
1
Bio
div
ers
ity
va
lue
11
Cross-scale Assessment of Biodiversity|
Tonnie Tekelenburg, Malki Saenz and Rob Alkemade
Examples from literatureAmazonian forestBrasilPlants
Prim. Forest: 235Cropped: 70Fallow: 90Pasture: 20
Fujisaka et al.1998
Tropical LowlandIndonesiaTermites
Prim. Forest 100%Sel. logged: 68%Plantation: 32%Grassland: 6%
Jones et al.2003
RainforestMadagascarreptiles
Intact forest: 100%Sec. Forest: 54%Plantations: 46%Rice: 12%
Vallan, Dennis,2003
12
Cross-scale Assessment of Biodiversity|
Tonnie Tekelenburg, Malki Saenz and Rob Alkemade
Code IMAGE Biomes Bro
adle
aved
eve
rgre
en fo
rest
Clo
sed
bro
adle
ave
d de
cidu
ous
fore
st
Ope
n br
oadl
eave
d d
ecid
ious
fore
st
Eve
rgre
en n
eedl
e-le
ave
d fo
rest
Dec
iduo
us n
eedl
e-le
aved
fore
st
Mix
ed fo
rest
Sw
amp
fore
stM
ang
rove
Mos
aic:
fore
st /
othe
r n
atur
al v
ege
tatio
n
Bur
nt fo
rest
Eve
rgre
en s
hrub
Dec
iduo
us s
hrub
Gra
ssla
ndS
pars
e sh
rub
and
gras
sla
nd
Flo
oded
gra
ssla
nd a
nd s
hrub
Cul
tivat
ed a
nd m
ana
ged
area
s
Mos
aic:
cro
pla
nd /
fore
st
Mos
aic:
cro
pla
nd /
othe
r na
tura
l veg
etat
ion
Bar
e ar
eas
Wat
er b
odie
sS
now
and
Ice
Art
ifici
al s
urfa
ces
No
data
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 236 Ice 1 1 07 Tundra 1 1 1 1 1 1 1 0.8 1 1 1 1 1 0.2 0.4 0.4 0.5 1 1 08 Wooded Tundra 1 1 1 1 1 1 1 0.8 1 1 0.8 0.8 1 0.2 0.4 0.4 0 1 09 Boreal forest 1 0.6 1 1 1 1 1 0.8 0.6 0.6 0.4 0.2 0.4 0.2 0.4 0.3 0 1 0
10 Cool coniferous forest 1 0.6 1 1 1 1 1 0.8 0.6 0.6 0.4 0.2 0.4 0.2 0.4 0.3 0 1 011 Temperate mixed forest 1 1 0.6 1 1 1 1 1 0.8 0.8 0.6 0.6 0.4 0.2 0.4 0.2 0.4 0.3 0 1 012 Temperate deciduous forest 1 1 0.6 1 1 1 1 1 0.8 0.8 0.4 0.6 0.4 0.2 0.4 0.2 0.4 0.3 0 1 013 Warm mixed forest 1 1 0.6 1 1 1 1 1 0.8 0.8 0.4 0.4 0.4 0.2 0.4 0.2 0.4 0.3 0 1 014 Grassland and steppe 1 1 1 1 1 1 1 1 1 0.8 1 1 1 0.5 1 0.2 0.4 0.4 0 1 015 Hot desert 1 1 1 1 1 1 1 1 1 1 0.2 0.4 0.4 1 1 016 Scrubland 1 1 1 1 1 1 1 1 1 0.8 1 1 0.5 0.5 1 0.2 0.4 0.4 0 1 017 Savanna 1 1 1 1 1 1 0.8 1 1 1 0.5 1 0.2 0.4 0.4 0 1 018 Tropical woodland 1 1 0.8 1 1 0.8 0.8 0.6 0.6 0.4 0.2 0.4 0.2 0.4 0.3 0 1 019 Tropical forest 1 1 0.6 1 1 0.8 0.8 0.4 0.4 0.2 0.1 0.2 0.2 0.4 0.2 0 1 0
Biodiversity effects of Land cover change
13
Cross-scale Assessment of Biodiversity|
Tonnie Tekelenburg, Malki Saenz and Rob Alkemade
Biodiversity impact from agricultural intensity
Biovalue Production systems80% Forest based production systems
50% Agroforestry and Shifting cult ivation
40% Tree planting in forest area
25% Traditional farming, Extensive farmingOrganic farming in developing countries
20% Intensive grassland management (reseeding) in forest area
13% Organic farming in developed countries (where conventional agricu lture isbased on long term soil and water investments)
10% Intensive agriculture and High external input agricultureConventional agriculture
5% Irrigation based, drainage based agriculture and long term soil levellingRegional specialisation
14
Cross-scale Assessment of Biodiversity|
Tonnie Tekelenburg, Malki Saenz and Rob Alkemade
Comparison organic and conventional Farming
0
0,5
1
1,5
2
2,5
3
3,5
4
Plants
Inse
ctsBird
s
Mam
mals
Earth
worm
s
Avera
ge
species groups
Inc
rea
se
(ti
me
s)
Abundance
15
Cross-scale Assessment of Biodiversity|
Tonnie Tekelenburg, Malki Saenz and Rob Alkemade
Biodiversity loss due to of landuse change
16
Cross-scale Assessment of Biodiversity|
Tonnie Tekelenburg, Malki Saenz and Rob Alkemade
Expected ecosytem quality in agroecosystems based on average production intensity (per Farming System)
Farming Systems in Latin America ecosystem qualityIrrigated 5Forest base 37.5Coastal plantation & mixed 9.35Intensive mixed 9.6Cereal livestock (campos) 9.5moist temperate mixed forest 10Maize-beans (meso-america) 17Intensive highland mixed North Andes 9Extensive mixed (Cerrados & Llanos) 13Temperate mixed (Pampas) 10Dryland mixed 24.5Extensive dryland mixed (Gran Chaco) 25High Altitude mixed (Central Andes) 18.4Average based on production intensity 20.5
Average based on land use change only 30%
17
Cross-scale Assessment of Biodiversity|
Tonnie Tekelenburg, Malki Saenz and Rob Alkemade
Biodiversity loss per farming systemGLOBIO3 pressure approach (2000)
b io d iv e rs ity lo s s p e r fa rmin g s ys te m
0 %2 0 %4 0 %6 0 %8 0 %
1 0 0 %
1 2 3 4 5 6 7 8 9 1 0 1 1 1 2 1 3 1 4 1 5
fa rm in g s y s te m s
% o
f orig
inal
bi
odiv
ersi
ty
b uilt up
nitro g e n
c lim ate
fo re s try
live s to c k
ag ric ulture
re m aining
F igu re 1 . B iod iversity 2000 p er farm in g systemRemaining biodiversity?
Forest based farming system 94%Coastal plantation & mixed 73%Intensive Highland Mixed North Andes 53%
18
Cross-scale Assessment of Biodiversity|
Tonnie Tekelenburg, Malki Saenz and Rob Alkemade
Biovalores (ecosistema x producción)
0,20 1,000,250,25 0,100,25vsi
0,20 1,000,250,25 0,10 vhi
1,00 0,10 ps
0,20 1,000,250,25 0,10 ph
1,00 0,10 n
1,00 0,10 0,10 0,10 m
1,00 0,250,100,300,100,250,100,10h
0,40 1,000,100,250,100,400,100,250,100,25bsoc
1,00 bsmor
0,40 1,000,100,25 0,10 bhmor
0,40 1,000,10 0,100,25bhmoc
0,40 1,000,10 0,100,400,100,250,100,25bhc
0,401,00 bhai
0,401,00 0,10 bha
forestalesPastosNaturalMaízFrutalesCamarCacaoBananoArrozA. erosiónArborSiglas
19
Cross-scale Assessment of Biodiversity|
Tonnie Tekelenburg, Malki Saenz and Rob Alkemade
Ecosystem quality in Ecuador
20
Cross-scale Assessment of Biodiversity|
Tonnie Tekelenburg, Malki Saenz and Rob Alkemade
Ecosystem quality for agroecosystems per ecosystem in Ecuador Ecosystem quality of agroecosystems
0.00
0.05
0.10
0.15
0.20
0.25
0.30
Bosque
húmedo
am
azónic
o
Bosque
húmedo
am
azónic
o in
undab
le
Bosque
húmedo
mon
tano o
rienta
l
Bosque
seco
mon
tano
orie
ntal
Bosque
húmedo
de
la co
sta
Bosque
húmedo
mon
tano o
ccide
ntal
Bosque
seco
occ
iden
tal
Humedal
Man
glar
Nieve
Páram
o húm
edo
Páram
o se
co
Vegeta
ción h
úmed
a inte
rand
ina
Vegeta
ción se
ca in
tera
ndina
ecosystems
ec
os
iste
m q
ua
lity
(%
)
ecosystem quality agroecosystems
21
Cross-scale Assessment of Biodiversity|
Tonnie Tekelenburg, Malki Saenz and Rob Alkemade
Área intervenida, mosaico y natural
50-70% ecosystem quality
22
Cross-scale Assessment of Biodiversity|
Tonnie Tekelenburg, Malki Saenz and Rob Alkemade
temp dec. forest
020406080
100
-1 0 1 2 3 4
image
euromove
grassland/steppe
020406080
100
-1 0 1 2 3 4
image
euromove
Shifts of Biomes (IMAGE) and species (Euromove)
Biodiversity impact from Climate Change
23
Cross-scale Assessment of Biodiversity|
Tonnie Tekelenburg, Malki Saenz and Rob Alkemade
Biodiversity impact from Climate Change
Temperatureincrease
WarmMixedForest
GrasslandSteppe
Hotdesert
ScrubLand
Savannah TropicalWoodland
TropicalForest
0 100 100 100 100 100 100 1001 96 86 96 79 87 92 952 90 80 94 74 82 90 923 84 72 89 64 73 91 91
24
Cross-scale Assessment of Biodiversity|
Tonnie Tekelenburg, Malki Saenz and Rob Alkemade
Downscaling from the global model
Biodiversity Situation 2000 NCILoss by land use change 27%Loss by international air pollution 0%Loss by climate change 2%Loss by agricultural intensification 5%Loss by forest explotation 1%_______________________________________Natural Capital (2000) 65%
25
Cross-scale Assessment of Biodiversity|
Tonnie Tekelenburg, Malki Saenz and Rob Alkemade
Trends of biodiversity change on quality of ecosystems
biodiversity change
020406080
100120
1900 2000 2100 2200
year
ori
gin
al b
iod
ive
rsit
y
(%)
overall
forest based
Temperatemixed
26
Cross-scale Assessment of Biodiversity|
Tonnie Tekelenburg, Malki Saenz and Rob Alkemade
Interaction of stakeholders with reference to the evaluation of the 2010 target
models monitoring
indicators
27
Cross-scale Assessment of Biodiversity|
Tonnie Tekelenburg, Malki Saenz and Rob Alkemade
End
28
Cross-scale Assessment of Biodiversity|
Tonnie Tekelenburg, Malki Saenz and Rob Alkemade
Which process to indicate?
past today tomorrow
Habitat loss
Habitatloss
Main factors: - habitat loss- loss ecosystem quality
The uniformity process of biodiversity loss: many rare species becoming more rare and few common species becoming more common (change of abundance or distribution of species)
29
Cross-scale Assessment of Biodiversity|
Tonnie Tekelenburg, Malki Saenz and Rob Alkemade
The Natural Capital Index: Biodiversity =area size x ecosystem quality
Ecosystem quality = average abundance/distribution of a set of characteristic species in relation to an ideal, original or historical reference
30
Cross-scale Assessment of Biodiversity|
Tonnie Tekelenburg, Malki Saenz and Rob Alkemade
Natural Capital 2001 for Ecuadorian ecosystems
0
10
20
30
40
50
60
70
80
90
100
bha bhai bhc bhmoc bhmor bsmor bsoc h m n ph ps vhi vsi NAC
31
Cross-scale Assessment of Biodiversity|
Tonnie Tekelenburg, Malki Saenz and Rob Alkemade
Comparison biodiversity state (NCI) of two ecosystems in Ecuador
bha = 87,23 28,20
77,05 7,35
2,83
5,1
7,1415,96
87,23