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Research ArticleArticles

GIS Assessment Of Munich’s Urban Forest Structure for Urban Planning

Stephen Pauleit and Friedrich Duhme
Arboriculture & Urban Forestry (AUF) May 2000, 26 (3) 133-141; DOI: https://doi.org/10.48044/jauf.2000.016
Stephen Pauleit
1Lehrstuhl für Landschaftsökologie, TU München, Am Hochanger 6, D-85350 Freising GERMANY, Email:
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  • For correspondence: [email protected]
Friedrich Duhme
2Lehrstuhl für Landschaftsökologie, TU München, Am Hochanger 6, D-85350 Freising GERMANY, Email:
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    Figure 1.

    Urban zoning for Munich and the test area.

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    Figure 2.

    Spatial pattern of the urban forest in Munich.

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    Figure 3.

    Percentage cover of woody vegetation in sites of specific ecological interest and land-cover types.

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    Figure 4.

    Maximum age of trees in sites of specific ecological interest and land-cover types.

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    Figure 5.

    Relationship between characteristics of woody vegetation and incidence of woodland bird indicator species.

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    Figure 6.

    Spatial pattern of surface temperatures and woody vegetation in the test area.

Tables

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    Table 1.

    Relationship between building density in housing areas and cover of woody vegetation.

    Cover of built-up landzNumber of casesySurface sealingx (%)Total vegetation cover (%)Woody vegetation (%)
    0%–10% 3120.475.528.7
    l1%–20%34638.855.920.3
    20%–3ũ%26553.744.614.0
    30%–40%12064.833.810.9
    40%–50% 4478.121.2 7.5
    50%–60% 3590.6 9.4 3.7
    60%–70%  394.0 6.0 2.2
    70%–80%  399.0 1.0 1.0
    Sum/mean84751.145.915.8
    • ↵z The following land-cover types were included in the analysis: multi-story blocks and housing, single-family houses, old village cores.

    • ↵y The analysis was performed in the study area of the 1991 survey of some 50 km3 (19 mi2).

    • ↵x Built-up, asphalt, and paved surfaces. Sealed and vegetated surfaces do not total up to 100%. The remaining areas are covered by bare soils.

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    Table 2.

    Relationship among building density, vegetation cover, and surface temperatures in the test area.

    Single-family housing, row housesNumber of of caseszSurface sealing (%)Vegetation cover (%)Cover of woody vegetation (%)Surface temperatures
    Midday (°C)Night (°C)
    0%–10%2513.081.526.431.515.8
    11%–20%5935.662.324.233.118.4
    20%–30%1846.952.325.434.419.0
    30%–40% 765.048.620.933.619.2
    40%–50% 165.030.012.034.220.2
    60%–70% 195.0 5.0 2.039.423.1
    Mean11134.263.424.433.118.0
    • ↵z The analysis was performed in the study area of the 1991 survey of some 50 km2 (19 mi2).

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    Table 3.

    Habitat development programs.

    City zonesWoodland programsExisting vegetation (ha)New woody vegetationEstimated establishment costs
    Ha%
    Densely built-up areasStands of woody vegetation, density 1 ha/10 ha, maximum distance 250 m847227+27

    DM45,400,000z

    (US$24,516,000)y

    General housingStands of woody vegetation, coverage 20%2,060451+22

    DM90,100,000

    (US$48,654,000)

    Industrial areas and traffic infrastructureStands of woody vegetation, density 1 ha/10 ha, maximum distance 250 m280221+79

    DM44,200,000

    (US$23,868,000)

    Farmland and forestsAfforestation, density 10 ha/100 ha, maximum distance 2.5 km2,330536+23

    DM5,360,000

    (US$2,894,400)

    Total5,5171,435+26

    DM185,000,000

    (US$99,900,000)

    • ↵z DM200,000 (US$108,000) per ha woody vegetation in the built-up area; DM1,000 (US$540) per tree, 200 trees per ha; DM10,000 (US$5,400) per ha forest.

    • ↵y Based on August 1999 exchange rate of DM1.00 approximately equivalent to US$0.54.

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Arboriculture & Urban Forestry (AUF): 26 (3)
Arboriculture & Urban Forestry (AUF)
Vol. 26, Issue 3
May 2000
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GIS Assessment Of Munich’s Urban Forest Structure for Urban Planning
Stephen Pauleit, Friedrich Duhme
Arboriculture & Urban Forestry (AUF) May 2000, 26 (3) 133-141; DOI: 10.48044/jauf.2000.016

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GIS Assessment Of Munich’s Urban Forest Structure for Urban Planning
Stephen Pauleit, Friedrich Duhme
Arboriculture & Urban Forestry (AUF) May 2000, 26 (3) 133-141; DOI: 10.48044/jauf.2000.016
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