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Bioindication of megalopolis park ecosystems under aerotechnogenic loading Cover

Bioindication of megalopolis park ecosystems under aerotechnogenic loading

Open Access
|Mar 2022

Figures & Tables

Figure 1

Location of observation and measurement points, relief and altitude, where: 1 – park named after Pushkin, 2 – Mariinsky park, 3 – Syretsky park, 5 – Pushcha-Vodytsya (park), 6 – NBG named after Hrishko, 7 – Lysa Mountain, 9 – Nyvky park, 10 – Peremoha park, 12 – park of Partisan Glory; 14 – Park of Eternal Glory, 15 – Babyn Yar, 16 – Feofania park, 17 – park DSHK, 18 – Holosiivskyi NNP, 19c – Camera 19, 20c – Camera 20. 4, 8, 11, 13, points did not have cameras; NNP – national nature park

Table 1

The value of integrated indices (environmental indicators) of the PE state

IndexHstrWIcInvConcentration NOx, mg/m3HI
Very good>2.479.26–12.001.00–1.50>8.67<0.020<1.060
Good2.21–2.466.51–9.251.51–2.505.79–8.670.021–0.0401.061–2.121
Satisfactory1.97–2.203.76–6.502.51–3.502.90–5.780.041–0.0602.122–3.181
Bad<1.961.0–3.753.51–4.50<2.890.061–0.083.182–4.242
Very bad––4.51–6.00–>0.081>4.242
Table 2

Integral assessment of the studied park ecosystems state in Kyiv

Assessment indicators/No. PE12356791012141516171819c20c
Park area [ha]19.58.96.511.7130.0137.0120.066.1112.018.411.7150.013.94525.5––
Canopy density (P)0.700.500.820.530.900.700.640.520.500.810.800.770.410.95––
Index of stand state (Is)2.22.031.92.51.962.41.952.42.31.72.372.252.191.99––
Sanitary condition of plantationsweakenedweakenedweakenedseverely weakenedweakenedweakenedweakenedweakenedweakenedweakenedweakenedweakenedweakenedweakened––
Mortality of trees (Mt) [%]19.8420.8310.8135.8040.2018.5911.9030.7010.5325.009.7735.719.4610.7––
Species saturation of grass tier, pieces/ha (L)92.8642.5067.57202.2755.8834.62117.86171.05126.3242.3139.6680.433.2430.3––
Nitrophils in grass tier (Nt) [%]51.4356.2565.2241.4664.7150.0042.8643.2846.8152.3863.6458.9753.4950.00––
H′2.861.972.513.602.012.232.153.303.112.372.463.073.652.22––
W2.62.33.14.256.54.84.83.53.81.57.195.631.255.50––
State of ecosystems by WCDCDCDTCvulnerableTCTCCDCDCDvulnerableTCCDTC––
Hstr1.941.751.931.932.071.941.721.932.061.982.021.961.461.81––
Characteristic by HstrbadSTFbadbadSTFbadSTFbadSTFSTFSTFbadbadbad––
Inv2.291.983.153.286.863.884.232.813.401.756.134.905.005.00––
Characteristic by InvbadbadSTFSTFgoodSTFSTFgoodSTFbadgoodSTFSTFSTF
Distance to the road, m10.00.5393.01.050.00.20.20.2330.00.20.2540.0150.0238.00.20.2
Number of lanes in one direction (D)4241334332333333.5
Number of cars per hour7161.02010.04605.0859.56058.56058.57122.02356.51956.02314.54989.05085.03243.06058.53312.04315.0
Transport speed, km/h (Qav)51.4339.8963.0134.6272.4073.5061.7142.9237.8939.8949.5062.6136.0073.5036.2954.88
C[mg/m3]0.21550.08610.09660.05130.21090.21090.13430.11610.10420.09700.17630.11370.20740.21090.11300.1330

[i] Notes: PE numbers as in Fig. 1. Characteristics for Hstr, W, Inv are according to Table 1. C– the total number of pollutants MACa.d. concentrations, mg/m3; CD – ecosystem in critical danger; TC – ecosystem in a threatening condition; STF – ecosystem in a satisfactory condition.

Table 3

Average daily content of air pollutants in the Kyiv park ecosystems

Contents [mg/m3/No. PE]5102312141619c920c151671718AverageHQi aver.Share from MACa.d.
NOx0.02100.04750.03670.03780.04130.04200.04660.04680.05880.05500.06870.09010.086570.08660.09000.08660.05891.471.47
Load characteristics by NOxgoodSTFgoodgoodSTFSTFSTFSTFSTFSTFbadvery badvery badvery badvery badvery bad–––
CnHm0.02830.06440.04690.05550.05910.05230.06210.06170.06990.07390.10170.11890.114540.11450.10660.11450.07780.081.560
Soot (CnH)0.00020.00030.00010.00020.00030.00010.00050.00040.00050.00020.00040.00030.001100.00110.00120.00110.00050.010.010
SO20.00140.00300.00180.00240.00280.00200.00360.00320.00400.00300.00430.00470.007050.00710.00770.00710.00410.080.081
Formaldehyde0.00020.00040.00020.00030.00040.00020.00050.00050.00060.00040.00060.00060.001030.00100.00130.00100.00060.200.192
Lead compounds0.00020.00040.00040.00030.00030.00040.00030.00040.00050.00050.00060.00080.000600.00060.00060.00060.00051.581.560
Sum0.05130.11610.08610.09660.10420.09700.11370.11300.13430.13300.17630.21550.210900.21090.20740.21090.1423––
HI1.2432.8382.2612.2472.4222.5912.6202.7323.4463.3474.0725.4904.7874.7875.0104.787–––
Characteristic by HIgoodSTFSTFSTFSTFSTFSTFSTFbadbadbadvery badvery badvery badvery badvery bad–––

[i] Notes: denotement as in Fig. 1. PEs are arranged in order of increasing HI. STF denotes satisfactory condition; characteristics of air load (NOx, HI) are according to Table 1. Exceeding MACa.d. for humans and high load characteristics by NOx was in bold.

Table 4

Assessment of air quality in Kyiv

Air pollutantsActual average annual concentrations for 20191 [mg/m3]The average daily concentration, our calculations [mg/m3]MACa.d. [mg/m3] for humans2MACa.d.3 for plants
NOx converted to NO20.144000.05700.04000.020
SO20.075000.00390.05000.015
Formaldehyde0.005600.00060.00300.003
Saturated hydrocarbons (CnHm)–0.07540.05000.140
Soot (CnH)0.035000.00050.05000.050
Inorganic lead compounds0.000030.00050.0003–
Figure 2

Assessment of the PE state compared to control (PE 5 – Pushcha-Vodytsya park)

Table 5

Correlation of the investigated PE parameters

PIsMtLNtWHstrInvDNumber of cars per hourC [mg/m3]HI
P1
Is−0.461
Mt0.090.131
L−0.370.460.411
Nt0.52−0.33−0.01−0.621
W0.540.270.180.050.251
Hstr0.460.130.400.310.210.481
Inv0.380.120.03−0.300.420.750.031
D0.26−0.21−0.46−0.210.240.12−0.060.201
Number of cars per hour0.59−0.21−0.19−0.360.270.450.020.440.751
C [mg/m3]0.340.00−0.24−0.580.230.26−0.160.540.490.721
HI0.29−0.04−0.26−0.570.190.16–0.210.450.510.720.991

[i] Note: medium and strong correlations are highlighted.

Figure 3

Amount of air pollutants’ emissions (mg/m3) from vehicles and distribution by prevailing wind directions,%

Figure 4

HI of air pollutants from vehicles (HI – hazard index)

Figure 5

Number of cars per hour

Figure 6

Clustering of PE in Kyiv by concentrations of air pollutants. A – NOx concentration in the air, mg/m3; B – concentration of SO2 in the air, mg/m3

Figure 7

Clustering of PEs according to the parameters of air pollutants: A – cars per hour and B – HI (PE – park ecosystem, HI – hazard index)

Figure 8

PCA using integrated indices for the PE state(PCA – principal component analysis, PE – park ecosystem)

Table 6

Sterility of Taraxacum officinale pollen in the conditions causing pollution in metropolis

No PEDistance to the road [m]Number of cars per hourPollen grains (pieces) M ± mV [%]Number of sterile pollen (pieces) M ± mV [%]Share of a sterile pollen (S) [%]CID
5238860.01785 ± 8.8634236 ± 2.742113.000.21
22262010.01715 ± 9.2633342 ± 2.572019.920.58
10802357.01589 ± 6.6828344 ± 2.711922.000.73
1554989.01396 ± 11.2644361 ± 3.212525.860.91
1610005085.02035 ± 7.7534235 ± 4.532711.550.17
71436059.01506 ± 9.7743361 ± 3.272423.970.86

[i] Notes: CID – conditional indicator of damage, PE – park ecosystem, V – coefficient of variation, M – average values of the sign, m is the mean error.

[ii] Mean values differ significantly in the Student's t-test (P < 0.05).

Figure 9

Pollen of Taraxacum officinale in the conditions of Kyiv: 1 – fertile pollen grain (38.2 μm); 2 – sterile pollen grain (24.8 μm); 3 – pollen gigantism (51.1 μm); 4 – pollen dwarfism (17.8 μm); 5 – anomalies of the shell (A – torn, B – crumpled)

Figure 10

Indices of pollen variability in Kyiv by Taraxacum officinale (PEs are arranged in ascending order of air pollutant concentration, mg/m3). Mean values differ significantly in the Student's t-test (P < 0.05) (HI – hazard index, PE – park ecosystem)

Table 7

Correlation of air pollution and pollen indication

Distance to the road [m]Number of cars per hourV by amount of S [%]S [%]T [%]CIDInvC [mg/m3]HI
Distance to the road [m]1.00
Number of cars per hour0.211.00
V by amount of S [%]0.570.801.00
S [%]−0.780.36−0.141.00
T [%]−0.780.40−0.110.991.00
CID−0.750.41−0.111.001.001.00
Inv0.170.680.840.150.160.161.00
C [mg/m3]−0.250.890.480.720.760.760.531.00
HI−0.290.860.440.760.800.800.491.001.00

[i] Note. A strong correlation is highlighted. CID – conditional indicator of damage, HI – hazard index.

DOI: https://doi.org/10.2478/ffp-2022-0003 | Journal eISSN: 2199-5907 | Journal ISSN: 0071-6677
Language: English
Page range: 15 - 37
Submitted on: Jun 23, 2021
Accepted on: Jan 28, 2022
Published on: Mar 11, 2022
Published by: Polish Academy of Sciences, Committee on Forest Sciences and Wood Technology and Forest Research Institute
In partnership with: Paradigm Publishing Services
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© 2022 Nataliia Miroshnyk, Tetiana Grabovska, Marina Mazura, Igor Teslenko, published by Polish Academy of Sciences, Committee on Forest Sciences and Wood Technology and Forest Research Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.