Transcript Key-patch - Eionet Projects

Ecological landscape connectivity
(corridors)
Gebhard Banko
EEA: Jean-Louis Weber
ETC/TE: Ferran Paramo, Oscar Gomez, Stefan Kleeschulte
Alterra: Sander Mucher, Irene Bouwman
ETC/TE EiONET workshop
Land and ecosystem accounting
30-31 January 2006
1
EEA, Copenhagen
Ecological corridors

Task: identify connectivity of landscape


Requirement: reproducable methodology
Challenge: Bridging the gap
DATA

Link between available standardised data
CORILIS
- derived from CLC 2000 data
-

KNOWLEDGE
And scientific sound biological driven methodology
LARCH model
- developed by Alterra
-
2
Conceptual model

Connectivity of landscape
patches
2. key patches
3. networks (with or without key patches)
4. Corridors
1.
3
forest patches
4
Key patches
> 30 km2
5
networks
6
corridors
7
networks
forest patches
corridors
8
LARCH modell (species oriented)
Ecological profile :“a range of species with similar
sensitivity to landscape resistance” (Opdam et
al 2002)
Key-population : “persistant population due to its
low extinction rate, compensated by an equally
small recolosiation rate (1 im/generation)”
Key-patch : “patch in a network that supports key
population”
9
Ecoprofiles
Key patch size
Dispersal range
a (1/km)
KP(km
0.005
0.5
3
7.5
30
200
2
2.5
(1 km)
0.45
(5 km)
)
x
x
x
x
x
x
0.2
(10
km)
x
x
x
0.09
(25 km)
x
x
x
x
x
0.04
(50 km)
x
x
x
x
Pouwels et al, 2002
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Synergyies (translation of knowledge into
data compatible terminology)
LARCH Species group:
Dispersal distance:
25 km
Forest bound species
KP: 30 km2
CORILIS
smoothing:
25 km
Class 3.2
Thresholds (interactively):
>70% for KP
>60% for network
Identification of corridors
between networks (cost
grid analysis)
11
area sizes
species group: Long-lived large vertebrates
MVP:
30
source:
Verboom et al, 2001
ID
1
10
100
configuration
description
KP
NW+KP
NW-KP
Key Patch
Network with key patch
Network without key patch
proposed
standard
population multiplying
size
factor
area size
20
80
120
1
4
6
30 km2
120 km2
180 km2
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Work procedure
1.
2.
3.
4.
total sum FOREST classes
Intervall
reclassify grid into 9 classes 0-10
11-20
21-30
31-40
41-50
51-55
56-60
61-70
convert grid into vector
71-100
1. calculate areas in vector file
ID
1
2
3
4
5
6
7
8
9
reclassified
v65_85 remark
5
15
25
35
45
53
57
65 network 1
85 key patch
apply area-thresholds for types of network
1.
2.
3.
KP > 30 km2
network with KP > 120 km2
network without KP > 180 km2
13
CORILIS forest data (311+312+313)
Restrict anaylsis
to central and
southern Europe
14
Conceptual model

Connectivity of landscape
patches
2. key patches
3. networks (with or without key patches)
4. Corridors
1.
15
Reclassification according to
key patches (KP) and networks (NW)
16
NW with KP (dark blue) and
NW without KP (light blue)
17
Conceptual model

Connectivity of landscape
patches
2. key patches
3. networks (with or without key patches)
4. Corridors
1.

Cost distance analysis
Identification points to move to (source points)
 Selection of points to from (FROM points)
 Calculation of cheapest path
 manual interpretatoin of corridor types


technical, important, core
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source points for cost distance
calculation
19
cost distance grid
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From-points I:
centre points of core areas
21
From-points II:
systematic 100*100 km grid
22
From-points:
combination of two layers
23
Cost paths and FROM points
24
Cost paths
25
Cost paths and CORILIS forest grid
26
derivation of core corridors

visual interpretation of automatically
generated corridors

differentiation into 3 classes

technical corridors
resulting from regular grid-points
- minor ecological importance
-

important corridors
-

connecting major areas of forest coverage
core corridors
connection between core areas
- PLUS: manual digitising of missing core corridors
-

due to the arbitrary selection of „source points“ for corridor analysis not all
connection between core areas were found atomatically
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core areas and all corridors
28
core areas and important corridors
29
core areas and core coridors
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Corridor analysis

Fragmentation of corridors



by traffic infrastructure
by urban morphological zones
connectivity through Natura 2000
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roads (Teleatlas FCR=0)
32
roads and corridors
33
potential barriers of corridors
216
fragmentations
34
Corridor analysis

Fragmentation of corridors



by traffic infrastructure
by urban morphological zones
connectivity through Natura 2000
35
UMZs and CORILIS
36
UMZs and corridors
37
UMZ as barriers for corridors
38
named UMZ
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Corridor analysis

Fragmentation of corridors



by traffic infrastructure
by urban morphological zones
connectivity through Natura 2000
40
Natura 2000 areas
41
Natura 2000 areas and countries
42
Natura 2000 areas and corridors
43
Natura 2000 areas in corridors
44
corridors = Natura 2000
45
Natura 2000 in the core
area/corridor system
20 % of corridors
are
Natura 2000 areas
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conclusions

Bridging DATA and knowledge

Species oriented approach




GIS based analysis



Key patch
Network
Corridor
Cost distance
reproducable methodology
Fragmentation and connectivity
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