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Last modified by Emily West on 2022/03/08 16:48
From version 1.1
edited by Hyunji Cho
on 2022/02/28 11:30
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To version 2.1
edited by Emily West
on 2022/03/08 16:48
Change comment: There is no comment for this version

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1 1  = 2.1.2 Connectivity of green space =
2 2  
3 +(% class="table-bordered" %)
3 3  |(((
4 4  ====== **Social challenge/ impact linked to:** ======
5 5  )))|Environmental
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27 27  Indicators of Green Infrastructure sub-criterion will assess the landscape connectivity and the mosaic diversity.
28 28  )))
29 29  
30 -Biodiversity is the measure of biological variety in the environment and it has an important role in functioning ecosystems services and health of environment and society. Biodiversity is an aspect of natural environment that is most directly affected by anthropogenic influence. City biodiversity is seen as an important aspect of sustainable and resilient urban development.** The fragmentation of natural environments is a major threat to biodiversity as scattered and non-connected natural areas are much less efficient in preserving biodiversity than large and connected areas.**
31 +Biodiversity is the measure of biological variety in the environment and it has an important role in functioning ecosystems services and health of environment and society. Biodiversity is an aspect of natural environment that is most directly affected by anthropogenic influence. City biodiversity is seen as an important aspect of sustainable and resilient urban development.** The fragmentation of natural environments is a major threat to biodiversity as scattered and non-connected natural areas are much less efficient in preserving biodiversity than large and connected areas.**
31 31  
32 32  This environmental (biological) indicator evaluates the increases of connectivity related to existing green infrastructures.
33 33  
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43 43  * Assess that impacts of NBS projects on pre-existing green networks;
44 44  * Promote active transport initiatives.
45 45  
46 -
47 47  [[image:https://divairwiki.eco-wise.co.uk/bin/download/5.%20Metrics%20and%20KPIs/Metric%20and%20Key%20Performance%20Indicators/3.2.2%20CGS%20-%20Connectivity%20of%20Green%20Spaces/WebHome/1641805952858-145.png?width=301&height=153&rev=1.1||alt="1641805952858-145.png" height="153" width="301"]]
48 48  
49 49  (Source: N4C CGS - Connectivity of Green Spaces)
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55 55  
56 56  * City
57 57  * Neighborhood
58 -
59 -
60 -
61 61  )))
62 62  |(((
60 +
61 +
63 63  ====== **Data source and input type** ======
64 64  )))|(((
65 65  * Satellite/ map
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73 73  |(((
74 74  ====== **Connection with SDGs** ======
75 75  )))|(((
76 -
77 -
78 78  * Goal 3: Good health and well-being
79 79  * Goal 11: Sustainable cities and communities
80 80  * Goal 15: Life on land
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84 84  )))|(((
85 85  **~ Structural connectivity**
86 86  
87 -* Land use maps e.g. CORINE
84 +* Land use maps e.g. CORINE ([[CORINE Land Cover — Copernicus Land Monitoring Service>>url:https://land.copernicus.eu/pan-european/corine-land-cover]])
88 88  * Data on zones in the natural or naturalized conditions in the urban area of interest from, e.g., government agencies, municipalities, nature groups, universities, etc.
89 89  * polygon area of green space
90 90  * Distance to other green spaces
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92 92  **Functional connectivity**
93 93  
94 94  * Distance between study site and other habitat patches within a 2km radius.
95 -
96 96  )))
97 97  |(((
98 98  ====== **Expected Outputs** ======
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225 225  * Wellmann, T., Haase, D., Knapp, S., Salbach, C. Selsam, P., Lausch, A. (2018) Urban land use intensity assessment: The potential of spatio-temporal spectral traits with remote sensing. Ecological Indicators. 85. 190-203. 10.1016/j.ecolind.2017.10.029
226 226  * Wessel M, Brandmeier M, Tiede D (2018) Evaluation of Different Machine Learning Algorithms for Scalable Classification of Tree Types and Tree Species Based on Sentinel-2 Data. Remote Sens., 10, 1419. [Google Scholar] [CrossRef]
227 227  
228 -
229 229  **N4C CGS - Connectivity of Green Spaces**
230 230  
231 231  * AUAT. (2015). Pour une approche globale du fonctionnement écologique potentiel des territoires, 8.