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Assessment and representation of Urban Trees Ecosystem Services: a case study in Pryzamkovyi park Cover

Assessment and representation of Urban Trees Ecosystem Services: a case study in Pryzamkovyi park

Open Access
|Jun 2023

Figures & Tables

Figure 1.

Percent of tree population by diameter class (DBH–stem diameter at 1.37 metres)
Percent of tree population by diameter class (DBH–stem diameter at 1.37 metres)

Figure 2.

Annual pollution removal (points) and value (bars) by trees of park
Annual pollution removal (points) and value (bars) by trees of park

Figure 3.

Estimated gross carbon sequestration (points) and value (bars) for trees with the greatest sequestration, Pryzamkovyi park
Estimated gross carbon sequestration (points) and value (bars) for trees with the greatest sequestration, Pryzamkovyi park

Figure 4.

Avoided runoff and value for species with greatest overall impact on runoff
Avoided runoff and value for species with greatest overall impact on runoff

Figure 5.

A way of displaying a geographical information database of Pryzamkovyi park dendrocenosis on an orthophotomap
A way of displaying a geographical information database of Pryzamkovyi park dendrocenosis on an orthophotomap

Figure 6.

A way of displaying a geographical information database of Pryzamkovyi park dendrocenosis in the system of Google MyMaps
A way of displaying a geographical information database of Pryzamkovyi park dendrocenosis in the system of Google MyMaps

The top 10 oxygen production species

NoSpeciesOxygen (kg)Gross carbon sequestration (kg/yr)Number of treesLeaf area (ha)
1Aesculus hippocastanum L.3380.401267.65423.58
2Fraxinus excelsior L.2697.651011.62363.41
3Tilia cordata Mill.1555.54 583.33302.53
4Acer platanoides L.1258.02 471.76182.16
5Betula pendula Roth. 745.95 279.73110.35
6Acer pseudoplatanus L. 668.65 250.74111.18
7Acer saccharinum L. 414.34 155.38 60.70
8Salix alba L. 413.68 155.13 60.28
9Quercus robur L. 372.17 139.56 60.43
10Thuja occidentalis L. 180.75  67.78130.13

Tree variables collected for ecosystem services analysis with description

VariableDescription
12
1. GPS CoordinatesThe values of geographical longitude and latitude were determined by applying Garmin Etrex 22x and GPSMap64s receivers as well as using Samsung Galaxy M31 mobile phone geolocation function (GPS Point app) in order to compare the accuracy of the available methods of identifying the geographical coordinates of trees and bushes
2. Land useIt was determined by such categories: Agriculture, Cemetery Commercial/ industrial, Golf course, Institutional, Multi-family residential, Park, Residential Transportation, Utility, Vacant, Water/ wetland and Other. The land use variable is used to adjust model biomass and decomposition rates
3. Tree and shrub informationIt was determined by the following indicators:
3.1. Tree IDUnique tree number
3.2. SpeciesScientific name
3.3. Total heightHeight to top of tree (m)
3.4. Crown baseHeight to crown base (m)
3.5. Crown topCrown top height (m)
3.6. Crown widthMeasured crown width (to nearest m) in two directions: north-south and east-west or as safety considerations or physical obstructions allow (m)
3.7. Percent canopy missingMeasured as percent of the crown volume that is not occupied by branches and leaves. Two perpendicular measures of missing leaf mass are made and the average result is recorded to nearest 5% (%)
3.8. Crown diebackPercent dieback in crown area, does not include normal, natural branch dieback, i.e., self-pruning due to crown competition or shading in the lower portion of the crown. However, branch dieback on side(s) and top of crown area due to shading from a building or another tree was included (%)
3.9. Crown light exposureMeasured as number of sides of the tree receiving sunlight from above (maximum of five). Top of tree is counted as one side (1–5)
3.10. DBHMeasured as diameter at breast height (height at 1.37 metres or 4.5 feet)

Statistical indicators of the samples

Statistical indicatorsI (Garmin 22)II (GPS 64s)III (GPS point mobile)
Average value (arithmetical mean), m 5.03 4.85 5.39
Variation indices
Minimum value, m 0.43 0.76 1.27
Maximum value, m15.1418.1916.60
Range of variation, m14.7117.4315.33
Dispersion, m 9.28 9.86 9.70
Basic (standard) deviation, m 3.05 3.14 3.11
Coefficient of variation, %60.6064.7457.70
Experiment accuracy, % 3.88 4.16 5.89

Most important species in Pryzamkovyi park

NoSpecies namePopulation (%)Leaf area (%)Importance values*
1Aesculus hippocastanum L.18.421.940.3
2Fraxinus excelsior L.15.820.936.7
3Tilia cordata Mill.13.215.528.7
4Acer platanoides L. 7.913.321.1
5Acer pseudoplatanus L. 4.8 7.212.1
6Betula pendula Roth. 4.8 2.2 7.0
7Acer saccharinum L. 2.6 4.3 6.9
8Thuja occidentalis L. 5.7 0.8 6.5
9Prunus cerasus L. 5.3 0.4 5.6
10Quercus robur L. 2.6 2.6 5.2
DOI: https://doi.org/10.2478/ffp-2023-0011 | Journal eISSN: 2199-5907 | Journal ISSN: 0071-6677
Language: English
Page range: 104 - 116
Submitted on: Oct 12, 2022
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Accepted on: Feb 23, 2023
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Published on: Jun 12, 2023
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2023 Dmytro Bidolakh, Petro Lakyda, Viktor Myroniuk, Yuriy Hayda, Svitlana Pidkhovna, published by Forest Research Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.